[DMANET] Last week to apply for GAIMSS'25 !!

[Apologies if you got multiple copies of this invitation]

Dear all

*This is the last week to apply for **GAIMSS'25
<https://www.gaimss.org/home>*, the Games and AI Multidisciplinary Summer
School! Ph.D. students and Postdocs specializing in game theory with
backgrounds in economics, mathematics, or computer science are invited to
apply. The event will take place at the Université Toulouse Capitole
<https://www.gaimss.org/venue>, Toulouse, France, from June 23 to June 25,
2025, followed by a research workshop on June 26 and 27. There is no
registration fee. Coffee breaks and lunches will be provided, but
participants will need to make their own arrangements for travel and
accommodation.

*About the Event*:
GAIMSS'25 is designed to provide an overview and deep insights into
research at the intersection of game theory and artificial intelligence.
Participants will attend lectures by experts and talks on recent advances
in game theory and AI. They will also have the opportunity to present their
research through poster sessions and flash talks.

*Lectures*:
The summer school will feature three 6-hour courses:
- Prof. José Correa <https://www.dii.uchile.cl/~jcorrea/> (Universidad de
Chile): *Prophet Inequalities* (mathematics)
- Prof. Johannes Hörner
<https://www.tse-fr.eu/fr/people/johannes-horner> (Toulouse
School of Economics), *Repeated Games with Imperfect Monitoring* (economics)
- Prof. Paul Dütting <https://paulduetting.com/> (Google Research),
*Algorithmic
Contract Theory* (computer science)

*Registration Information:*
- *Application Deadline*: *March 15, 2025* (Saturday) 22h00 CET
- *Application Link*: Here <https://forms.gle/sA5zGcfojDbNyopC6>
- *Acceptance notification*: April 15, 2025 (Tuesday)

For further details, including the program agenda and course descriptions,
please visit www.gaimss.org or contact us at info[at]gaimss[dot]org.

We look forward to seeing you in Toulouse!

Best regards,

The GAIMSS organizers
Simon Finster (CREST-ENSAE)
Felipe Garrido-Lucero (IRIT, Université Toulouse Capitole)
Atulya Jain (University of Bonn)
Emilien Macault (Université de Lorraine)
Dana Pizarro (Toulouse Business School)

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[DMANET] Upcaming ODS2025 conference - 2nd Call for Papers (and New Dates)

Subject: ODS 2025 - 2nd Call for Papers and New Dates

[We apologize if you receive multiple copies of this communication.]

Dear Colleagues,

the International Conference on Optimization and Decision Science 2025
(ODS 2025), organized by AIRO, the Italian Operations Research Society
will be held in Milan (Italy) on September 1st - 4th, 2025.

ODS 2025 is entitled "Mathematics, algorithms and the art and science of
decision-making".

The conference scope includes operations research, optimization, problem
solving, decision making and their applications.
This edition will draw inspiration, ideas, and cross-disciplinary
influences from the fields of applied mathematics, computer science,
engineering, and economics.
The conference will favor the gathering of scholars and experts from
these disciplines, the mutual fertilization of their approaches and
methodologies, and the exploration of their challenges.

ODS 2025 aims to be a venue for academics, professionals, private
corporations, public stakeholders, industries, and freelance
decision-makers to propose attempts and solutions, engage in knowledge
sharing and showcase applications.

Methodological contributions as well as reports on relevant applied
research projects are welcome.

On the website http://www.airoconference.it/ods2025/ all relevant
information is regularly updated.

Participants can submit either short papers or abstracts. Each
registered participant can present at most one work.

- Short papers (8-10 pages, including front matter and references) will
undergo a review process by anonymous referees.
Accepted papers will be included in a special volume of the AIRO
Springer Series, indexed in main scientific databases.

- Abstracts (max 2000 characters, space included) will be selected by
the ODS2025 Program Committee to be included in the conference e–book of
abstracts.

For all submission details please refer to:
https://www.airoconference.it/ods2025/call-for-papers

Important Dates:

- (Strict) Deadline for abstracts and short papers: April 29th, 2025

- Acceptance notification: By May 30th, 2025

- Deadline for early registration: May 30th, 2025

- Deadline for camera-ready papers: June 16th, 2025

- Registration deadline for inclusion in the final program: August 1st,
2025

- Conference: September 1st - 4th, 2025

*** Please, note that, due to the overlapping with related conferences'
deadlines, some dates have been updated. ***

Contact Information
OptLab, Dept. of Computer Science, University of Milan,
ods2025@airoconference.it

The Organizing Committee of ODS 2025
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[DMANET] [Scheduling seminar] Daniele Vigo (Unibo CIRI-ICT) | March 12 | One Million ... and Beyond! Solving Huge-Scale Vehicle Routing Problems in a Handful of Minutes

Dear scheduling researcher,

We are delighted to announce the talk given by Daniele Vigo (Unibo
CIRI-ICT).
The title is "One Million ... and Beyond! Solving Huge-Scale Vehicle
Routing Problems in a Handful of Minutes". The seminar will take place
on Zoom on Wednesday, March 12 at 14:00 UTC.
Join Zoom Meeting
https://cesnet.zoom.us/j/96957110178?pwd=buNswAwkpAcTOreAfQ2qHG5yZr0kJd.1
Meeting ID: 969 5711 0178
Passcode: 723073
You can follow the seminar online or offline on our Youtube channel as
well:
https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A

The abstract follows.
Vehicle routing is a hard and extensively studied combinatorial
optimization problem which has numerous practical applications in
transportation and logistics. In the last two decades several effective
solution methods were proposed for the heuristic solution of the vehicle
routing problem (VRP) and its many variants but most of these methods do
not scale well with respect to the computing time when the size of the
problem grows. We discuss a family of approaches, originated from the
FILO framework, which were explicitly designed to obtain a linear growth
of the computing time making it possible to solve very large instances
with up to one million customers within a very limited computing time.

The next talk in our series will be:
Christian Blum (IIIA-CSIC) | March 26 | CMSA: A Hybrid Metaheuristic for
Combinatorial Optimization
For more details, please visit https://schedulingseminar.com/

With kind regards

Zdenek Hanzalek, Michael Pinedo and Guohua Wan

--
Zdenek Hanzalek
Industrial Informatics Department,
Czech Institute of Informatics, Robotics and Cybernetics,
Czech Technical University in Prague,
Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic
https://rtime.ciirc.cvut.cz/~hanzalek/

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[DMANET] PhD thesis position in Combinatorial optimization - Energy-Efficient Production and Maintenance Planning

*PhD Thesis in Combinatorial Optimization*

*Title: **Energy-Efficient **Production **and Maintenance **Planning*

Laboratory: Ecole des Mines de Saint-Étienne - Department of
Manufacturing Sciences & Logistics, UMR CNRS LIMOS 6158, Campus
Aix-Marseille-Provence, Gardanne (Bouches-du-Rhône), France.

*Start Date: October 2025*

*Funding:* University

*Supervisors:*
- *Nabil ABSI* – Professor (absi@emse.fr)
- *Elodie SUZANNE* – Associate Professor (elodie.suzanne@emse.fr)

*Keywords:* Modeling and optimization, production planning, maintenance
planning, energy management, sustainable manufacturing

*Context : *Production planning, a central pillar of operations
management, plays a crucial role in optimizing manufacturing processes
while efficiently meeting market demand in an economic and sustainable
manner. However, the emergence of environmental concerns, the continuous
rise in energy costs, and the need to comply with legal obligations
regarding greenhouse gas emissions have introduced a major new
challenge: integrating energy constraints into industrial strategies. In
recent years, energy management in production operations has gained
undeniable importance.

*Objectives: *This PhD aims to integrate energy considerations into
production planning while incorporating maintenance management. Although
maintenance can be costly and energy-intensive, it remains essential to
prevent equipment failures and optimize energy consumption. The primary
objective is to develop a combined production and maintenance planning
approach based on predictive indicators of equipment conditions. This
research will contribute to the expanding field of sustainable
manufacturing by proposing a novel planning approach that minimizes both
energy consumption and unexpected downtimes.

Another focus will be on designing innovative solution methods to
address the challenges posed by this integration. The solutions
developed will rely on decomposition techniques, with a particular
emphasis on designing efficient exact methods for the identified
subproblems.

*Candidate Profile: *Candidates must hold a Master's degree or an
engineering diploma in Operations Research, Applied Mathematics,
Computer Science, or related disciplines. Strong programming skills and
a solid understanding of combinatorial optimization are required. The
candidate should demonstrate autonomy and a strong sense of initiative.

*Application Process: *Please send your application via email (in a
single file) including:
- A detailed CV,
- Transcripts,
- Recommendation letters (if available),

to Nabil ABSI (absi@emse.fr) and Elodie SUZANNE (elodie.suzanne@emse.fr).

Do not hesitate to contact us for further questions regarding the position.

--
Nabil Absi
Professor and Head of the department
Department of Manufacturing Sciences and Logistics
Ecole des Mines de Saint-Etienne
LIMOS - UMR CNRS 6158
Campus G. Charpak Provence
880 route de Mimet
F-13541 GARDANNE
FRANCE

Tel: +33 (0)4 42 61 66 56
E-mail:absi@emse.fr
URL:http://cmp.mines-stetienne.fr/
https://scholar.google.fr/citations?user=2MERbJgAAAAJ

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[DMANET] Jobs - Fully funded PhD position at Hamburg University of Technology

The Institute of Medical Technology and Intelligent Systems at Hamburg
University of Technology has a long standing track record developing AI
methods for medicine.
We are particularly interested in machine learning, medical robotics and
navigation, image guidance, and treatment planning. In a project with
European partners we are developing sustainable AI methods for healthcare.
One focus will be on optimization and treatment planning, e.g., for
medical robots. The project has a research context and we expect
candidates to be interested in obtaining a PhD.

More information see: https://stellenportal.tuhh.de/ok7fd
Please, apply here:
https://stellenportal.tuhh.de/en/jobposting/a2e87bb11b4a684e87e936d09f83168f8cb354080/apply

Successful candidates will hold a master's degree in computer science or
related fields with excellent grades.
Very good programming and scientific writing skills as well as the
ability to travel to project meetings throughout Europe are essential.

The position is fully funded (app. 55.000 EUR gross salary, 30 days of
paid vacation) for a maximum term of three years.

For additional information, please contact Prof. Alexander Schlaefer
(schlaefer@tuhh.de)

Prof. Dr.-Ing. Alexander Schlaefer

Institute of Medical Technology and Intelligent Systems
Hamburg University of Technology
+49 (0) 40 42878 3050
www.tuhh.de/mtec
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[DMANET] EGC2025 Second announcement

------------------------------------------------------------------
XXI Spanish Meeting on Computational Geometry
Santander, June 30th to July 2nd, 2025
https://egc2025.unican.es/
------------------------------------------------------------------
Second announcement. Submission server open
------------------------------------------------------------------

The XXI Spanish Meeting on Computational Geometry will take place at Universidad de Cantabria (Spain), June 30th to July 2nd, 2025.

The program will have three invited talks by:

- Delia Garijo (U. Sevilla, Spain)
- Michael Joswig (T.U. Berlin, Germany)
- Raimund Seidel (U. Saarland, Germany)

There will also be slots for contributed talks to be submitted by the participants and selected and approved by the Scientific Committee.

Submissions are now open and done via easychair, with deadline April 13th. See details in http://egc2025.unican.es/submission/.
Registration is also open, with early registration fees until 31st May.

Important dates:
-----------------------------------------------------------
- Submission deadline: April 13th, 2025
- Notification of acceptance: May 23th, 2025
- End of early registration: May 31st, 2025
- Final versions due: June 9, 2025
- Conference: June 30-July 2, 2025

Scientific Committee
-----------------------------------------------------------
Maike Buchin, Ruhr-University Bochum
Sergio Cabello, University of Ljubljana
Narcís Coll Arnau, Universitat de Girona
Francisco Criado, CUNEF Universidad (co-chair)
David Flores, Universidad Nacional Autónoma de México
Marta Fort i Masdevall, Universitat de Girona
Clemens Huemer, Universitat Politècnica de Catalunya
David Kirkpatrick, University of British Columbia
Georg Loho, University of Twente and Free U. Berlin
David Orden, Universidad de Alcalá
Pablo Pérez Lantero, Universidad de Santiago de Chile
Francisco Santos, Universidad de Cantabria (co-chair)
Carlos Seara, Universitat Politècnica de Catalunya
Rodrigo Silveira, Universitat Politècnica de Catalunya
Vincent Pilaud, Universitat de Barcelona

Organizing Committee
-----------------------------------------------------------
David I. Alcántara García, Universidad de Cantabria
Mónica Blanco Gómez, Universidad de Cantabria (co-chair)
Luis Crespo Ruiz, Universidad de Cantabria
Francisco Santos Leal, Universidad de Cantabria (co-chair)

For more information please visit our website
https://egc2025.unican.es <https://egc2025.unican.es/>
-----------------------------------------------------------

--
Francisco Santos, francisco.santos@unican.es
Departamento de Matematicas, Estadistica y Computacion
Universidad de Cantabria, E-39005 Santander, SPAIN.
Phone: +34-942-201522 - Fax: +34-942-201402
http://personales.unican.es/santosf

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[DMANET] PhD Position in Topological Combinatorics & Graph Colorings

PhD Position in Topological Combinatorics & Graph Colorings
University of Nottingham Ningbo China
The School of Mathematical Sciences at the University of Nottingham Ningbo China is pleased to announce an opening for a PhD position in the area of Topological Combinatorics and Graph Colorings, under the supervision of Dr. Hamid Reza Daneshpajouh.
We are seeking highly motivated candidates with a solid academic background in mathematics, particularly in areas such as combinatorics, graph theory, and the application of topological methods in combinatorics, with a specific focus on graph colorings. Candidates with a strong desire to develop expertise in these fields are also encouraged to apply.
Application Requirements:
Interested applicants are invited to submit the following documents to hamid-reza.daneshpajouh@nottingham.edu.cn by 31 March 2025:

*
A detailed curriculum vitae (CV)
*
Academic transcripts
*
A statement of research interests

For further information regarding eligibility criteria, funding opportunities, and the application process, please visit [How to Apply - University of Nottingham Ningbo China<https://www.nottingham.edu.cn/en/graduateschool/how-to-apply/how-to-apply.aspx>].

This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of The University of Nottingham Ningbo China. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system: you are advised to perform your own checks. Email communications with The University of Nottingham Ningbo China may be monitored as permitted by UK and Chinese legislation.

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[DMANET] PhD and teaching position in Operations Research @ Paderborn University

We have an open PhD position in Operations Research at Paderborn University.
Successful applicants must have excellent skills in discrete optimization
and must teach in German. Further details can be found here:
https://wiwi.uni-paderborn.de/dep3/schryen/team-schryen/stellenausschreibung
en

We look forward to receiving your application.

--

Prof. Dr. Guido Schryen

Chair of Management Information Systems and Operations Research

Faculty of Business Administration and Economics

Paderborn University

Warburger Straße 100
33098 Paderborn
Germany

Web: www.misor.org

Mail: misor@wiwi.upb.de

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[DMANET] First Call for Participation Maritime Shipping Competition at AAMAS 2025

*Call for Participation: Maritime Shipping Competition (MSC) at the 24th
International Conference on Autonomous Agents and Multiagent Systems
(AAMAS 2025)*

Join us in pushing the boundaries of digital solutions for maritime
transport and be part of an exciting challenge at AAMAS 2025!

We are excited to invite researchers and practitioners to participate in
the Maritime Shipping Competition (MSC), hosted as part of the 24th
International Conference on Autonomous Agents and Multiagent Systems
(AAMAS 2025), with final presentations taking place on 19th or 20th of
May 2025 in Detroit, Michigan, USA. This competition provides an
opportunity to showcase and compare innovative approaches in auction
bidding and transpiration scheduling.

*About the Competition*

Maritime transportation is one of the backbones of international trade
and supply chains. While the sector has shown growth in recent years,
maritime transportation is also facing critical challenges around
geopolitical tensions, climate change and disruptions at key
chokepoints, e.g. the Panama and the Suez Canals. Shipping companies are
investigating digital solutions, including digital twin and multi-agent
technologies, to improve fleet utilisation, e.g. via transportation
scheduling, to reduce costs but also greenhouse gas emissions. Many of
these digital solutions are in their infancy and could benefit from
innovative applications of approaches from multiagent system, artificial
intelligence, scheduling, auction bidding and related technologies.

The competition will require to develop a software agent in Python that
operates the trade auctions and fleet transmutation scheduling for a
maritime shipping company. Participating will allow you to compete for
prizes.

We will run a warm-up competition to get early feedback and a final
competition with results being presented at AAMAS.

*Participation and Timeline*

We welcome contributions from teams up to five people across academia,
industry, and independent research communities. Participants are
required to submit an agent implemented in Python and a short 2-4 page
report.

* Warm-up Competition Submission Deadline: 24/03/2025
* Warm-up Competition Results Release: 07/04/2025
* Competition Submission Deadline: 28/04/2025
* Announcement of Presentation Slots: 05/05/2025
* Competition Results Presentation and Winner Announcement: 19 or
20/05/2025

Submissions should be made via msc.aamas2025@soton.ac.uk, following the
instructions provided at
https://jbuerman.github.io/Maritime-Shipping-Competition-AAMAS2025/.

All submission dates are 23:59h AoE (Anywhere on Earth).

*Competition Session at AAMAS*

All teams will have the opportunity to present their agent and strategy
at the session at AAMAS 2025. A presentation will be necessary to
compete for the innovative ideas prize.

*Awards & Recognition*

The competition will feature certificates and performance based prizes
and a prize for an innovative ideas.

The first three teams according to the average tournament ranking will
receive a certificate and a cash prize. The overall winner will receive
£500, the runner-up will receive £300 and the team placing third will
receive £100.

Additionally, the team with the most interesting strategy agent prize
will receive £100. This prize will be judged on the day of the
competition at AAMAS after the presentations.

*How to Get Involved*

To participate, please visit
https://jbuerman.github.io/Maritime-Shipping-Competition-AAMAS2025/ for
detailed guidelines. For any inquiries, contact us at
msc.aamas2025@soton.ac.uk.

*Organising Committee*

Enrico Gerding, University of Southampton, UK
Enrico Marchioni, University of Southampton, UK
Baharak Rastegari, University of Southampton, UK
Jan Buermann, University of Southampton, UK

The competition and prizes are made possible thanks to the Centre for
Maritime Futures at the University of Southampton with support from
Shell plc.

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[DMANET] PhD position in Algorithms at University of Bergen

University of Bergen has an open position for a PhD student in Algorithms.
The position is within the Algorithms research group, renowned for its
contributions to parameterized algorithms. The successful candidate will be
advised by Kirill Simonov (https://ksimonov.com/).

Applicants should have a strong academic background in theoretical computer
science and/or mathematics. Research direction is, broadly, in efficient
algorithms with provable guarantees for NP-hard problems, with a focus on
parameterized and fine-grained complexity. Potential targets include
graph-theoretic problems, such as those modelling routing and community
identification in networks, as well as problems of fundamental importance
to the fields of artificial intelligence and machine learning. An algorithm
engineering component, which would see the application of these methods to
practical instances, is also possible.

The position is for 3 years with the possibility of a 4th year with
career-promoting work (e.g. teaching duties at the Department). The
position is funded by the University of Bergen, and features a gross annual
salary of NOK 540 500, as well as other welfare benefits.

For consideration, please apply by March 30, 2025. The successful applicant
is expected to start in (or around) September 2025. See more details and
apply at Jobbnorge:
https://www.jobbnorge.no/en/available-jobs/job/275767/phd-research-fellow-in-algorithms.
Informal inquiries about the position are welcome (email:
kirillsimonov@gmail.com).

University of Bergen is a well-established research university, located in
the beautiful city of Bergen. Surrounded by fjords and mountains, Bergen
offers a pleasant mix of city life and easily accessible natural
landscapes. Norway is renowned for openness, social equality and good
work-life balance. Most of the population speaks English freely, making it
easy to navigate daily life as a newcomer, and the university itself is
highly international.

With best wishes,
Kirill Simonov
Associate Professor

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[DMANET] Second Call for Applications - Cluster of Excellence "Bilateral AI"

=================================================================

[Apologies for cross-postings]

=================================================================

Cluster of Excellence Bilateral Artificial Intelligence: Discovering the Next Dimension of AI

Second Call for Applications: Join a world-class faculty to work in a field that is changing our world
https://www.bilateral-ai.net<https://www.bilateral-ai.net/>
In Austria, leading scientists in the field of AI have joined forces and created the Cluster of Excellence (CoE) "Bilateral Artificial Intelligence: Discovering the Next Dimension of AI", funded by the Austrian Science Fund FWF. The vision is to educate a new generation of top-quality AI scientists with a holistic understanding of symbolic and sub-symbolic AI methods. Combining these two worlds is shaping up to be the next big game changing development!
The CoE "Bilateral AI" is currently looking for the brightest minds in this field, offering PhD and Postdoc positions, with several exciting opportunities still available.
Join us and become part of the next AI revolution!
https://www.bilateral-ai.net/career
The participating research centers are Johannes Kepler Universität Linz (JKU Linz), Technische Universität Wien (TU Wien), Alpen-Adria-Universität Klagenfurt (AAU), Institute of Science and Technology Austria (ISTA), Technische Universität Graz (TU Graz), and Wirtschaftsuniversität Wien (WU Wien).
The Board of Directors is led by Sepp Hochreiter (JKU Linz), with Thomas Eiter (TU Wien) serving as Vice Director.

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[DMANET] [FOGA] Call for Papers, submission deadline May 2

Dear Colleagues,
(With apologies for cross posting)

Are you interested in understanding how evolutionary algorithms and
other randomized search heuristics work? Consider submitting and
attending the FOGA 2025 conference in Leiden! Yes, FOGA is not just for
theoreticians 😉

18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
FOGA XVIII, Aug 27 – 29, 2025, Leiden, The Netherlands
https://naco.liacs.nl/foga2025/
+ extra day for COST action ROAR-NET meeting on Aug 26:
https://naco.liacs.nl/foga2025//roarnet.html

:: FOGA submission deadline: May 2, 2025

:: FOGA keynote speakers:
-- Joshua D. Knowles, Schlumberger,
https://www.birmingham.ac.uk/staff/profiles/computer-science/honorary-staff/knowles-joshua
-- Stephanie Wehner, Delft University of Technology, The Netherlands,
https://qutech.nl/person/stephanie-wehner/
-- Tobias Glasmachers, Ruhr-Universität Bochum, Germany,
https://www.ini.rub.de/the_institute/people/tobias-glasmachers/

:: Further information: All relevant information can be found on the
website: https://naco.liacs.nl/foga2025/

:: Note that FOGA is _not_ only focused on mathematical analysis of
randomized search heuristics, but aims at covering the entire spectrum
of work, ranging from rigorously derived mathematical results to
carefully crafted empirical studies, as long the key contribution is in
helping us understand why something is happening.

The FOGA series aims at advancing our understanding of the working
principles behind evolutionary algorithms and related randomized search
heuristics, such as local search algorithms, differential evolution, ant
colony optimization, particle swarm optimization, artificial immune
systems, simulated annealing, and other Monte Carlo methods for search
and optimization. Connections to related areas, such as Bayesian
optimization and direct search, are of interest as well. FOGA is the
premier event to discuss advances on the theoretical foundations of
these algorithms, tools needed to analyze them, and different aspects of
comparing algorithms' performance. Topics of interest include, but are
not limited to:

- Run time analysis
- Mathematical tools suitable for the analysis of search heuristics
- Fitness landscapes and problem difficulty
- (On- and offline) configuration and selection of algorithms,
heuristics, operators, and parameters
- Stochastic and dynamic environments, noisy evaluations
- Constrained optimization
- Problem representation
- Complexity theory for search heuristics
- Multi-objective optimization
- Benchmarking aspects, including performance measures, the selection of
meaningful benchmark problems, and statistical aspects
- Connection between randomized search and machine learning

Please address all questions concerning the CfP to the program chairs
(Jonathan Fieldsend and Francisco Chicano) and all other questions to
the general and local organization team (Thomas Bäck, Anna V. Kononova,
and Elena Raponi)

Looking forward to seeing you in Leiden,
FOGA organizers
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[DMANET] The 8th International Symposium on Future Cyber Security Technologies (FCST 2025), Tampa, Florida, USA. May 19-22, 2025

[Apologies if you got multiple copies of this invitation]

The 8th International Symposium on Future Cyber Security Technologies (FCST
2025)

https://icsc-conference.org/2025/Workshops/FCST2025/

Hybrid Event

Tampa, Florida, USA. May 19-22, 2025

Co-located with

The Fifth IEEE Intelligent Cybersecurity Conference (ICSC2025)
<https://www.icsc-conference.org/2025/>

Technically Co-Sponsored by IEEE Florida West Coast Section

*FCST 2025 CFP:*

Hardware systems and Software applications continue to evolve with more
functionalities, complex structures and interactions between them and with
users. Cyber Security risks continue to evolve as well in both quantity in
the same domains as well new types and ways on how to break into computing
systems, software applications, websites, databases, programmable networks
etc. For example, monitoring the car manufacturing industry, we can see
that recent car models have more complex hardware components and automated
programmable features in comparison with their earlier models, this will
increase the risk associated with protecting such systems. Same thing can
be applicable to most other engineering products. Such complex hardware and
programmable techniques bring security opportunities to change the way
cyber security controls (e.g. firewalls, Intrusion Detection Systems (IDS),
etc.) are developed and enforced. They also bring security challenges
related to our computing systems and software architectures or any changes
that can be directly or indirectly related to them due to the complex
interactions between them. The International Symposium on Future Cyber
Security Technologies (FCST) will focus on issues related to future cyber
security challenges as well as opportunities which mainly highlight the
above mentioned aspects.

The FCST 2025 symposium addresses the use of advanced intelligent systems
in the areas of cyber security techniques, security challenges and
opportunities for emerging technologies such as cloud computing, Internet
of Things (IoT) and Edge Computing, big data, 5G, SDN and many others . We
are mainly interested in receiving state of the art work on different
aspect of future cyber security management system, security and privacy,
cloud computing and big data supported security systems to mention but few.

- Cyber Security Techniques Architectures and Design
- Cyber Security Systems
- Cyber Security Techniques Integration
- Cyber Security Techniques Orchestration
- Network forensics using intelligent systems and data analytics
- Cyber Security Techniques Based Network Control plane design
- Cyber Security Techniques for Cloud based DataCenter
- Cyber Security Techniques for 5G Networks
- Adversarial Machine learning and Backdoor Attacks
- Blockchain Systems for Cyber Security
- Cyber Security Techniques for Internet of Things (IoT)
- Cyber Security Techniques Based Network Data plane design
- Cyber Security Techniques Performance Management

*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 6 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the ICSC Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion.

*Important Dates:*

- *Paper submission deadline: March 23rd 2025 (Firm and Final)*
- Notification of acceptance: April 7th, 2025
- Camera-ready Submission: April 21st, 2025

*Contact:*

Please send any inquiry on ICSC to Fahed Alkhabbas at:
fahed.alkhabbas@mau.se

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[DMANET] Ph.D.student position in Computational Geometry at TU Graz

TU Graz is offering a Ph.D. student position in the area of Computational
Geometry, starting a.s.a.p. For details and instructions to apply, please
see https://www.geometrie.tugraz.at/wallner/tugraz-computgeommar2025.pdf

----------------------------------------------------------------------
Johannes Wallner Tel (+43) 316 873 8440
Institut fuer Geometrie der TU Graz,
Kopernikusgasse 24, 8010 Graz.
j.wallner@tugraz.at http://www.geometrie.tugraz.at/wallner
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[DMANET] HALG 2025 -- Call for Papers (Short Contributed Presentations)

The 10th IGAFIT Highlights of Algorithms conference (HALG 2025)
Zurich, June 4-6, 2025.
https://2025.highlightsofalgorithms.org/index.html

The IGAFIT Highlights of Algorithms (HALG) conference is a forum for presenting the
highlights of recent developments in algorithms and for discussing potential
further advances in this area. The conference will provide a broad
picture of the latest research in algorithms through a series of invited talks, as
well as the possibility for all researchers and students to present their recent
results through a series of short talks and poster presentations.
Attending the Highlights of Algorithms conference will also be an opportunity for
networking and meeting leading researchers in algorithms.

Call For Submissions of Short Contributed Presentations:

The HALG 2025 conference seeks submissions for contributed presentations.
Each presentation is expected to consist of a poster and a short talk (an invitation to the poster).
There will be no conference proceedings, hence presenting work already published at a different
venue or journal (or to be submitted there) is welcome.

If you would like to present your results at HALG 2025, please submit their details:
the abstract of the talk or the contribution of the poster via Easychair.
https://easychair.org/conferences/?conf=halg2025

The abstract should include (when relevant) information where the results have been published/accepted
(e.g., conference), and where they are publicly available (e.g., arXiv).
All submissions will be reviewed by the Program Committee (PC), giving priority to papers published in 2024 or later.

Submission deadline: 29th March 2025 (AoE).

Acceptance/rejection notifications: early April.
Early registration deadline: April 28th, 2025.

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[DMANET] ACM EC 2025 Call for Workshops

Dear colleagues,

We invite your proposals for workshops to be held in conjunction with the 26th ACM Conference on Economics and Computation (EC 2025) at Stanford University.

The workshops are planned as an in-person event during the conference technical program on July 10, 2025. Proposals for virtual workshops will be considered under special circumstances (e.g., travel restrictions).

For details on the workshop format, what needs to be included in the proposal, and other information, please refer to the call for contributions:
https://ec25.sigecom.org/call-for-contributions-acm/workshops-tutorials/

Key Dates:

March 14, 2024: Due date for submitting workshop proposal
April 4, 2025: Workshop proposal accept/reject notifications
July 10, 2025: Workshops at Stanford University

If you have any questions, please contact the workshop co-chairs at sigecom-
workshops@googlegroups.com.

We look forward to your participation.

Regards,

Ellen Vitercik, Stanford University (Workshop co-chair)
Paul Duetting, Google (Workshop co-chair)

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[DMANET] Two fully funded PhD positions in Statistics at Trinity College Dublin

We are seeking two highly motivated candidates for two fully funded PhD positions (4-years full-time) at Trinity College Dublin, to work on projects regarding:

*
The development of novel statistical methods to analyse complex networks and multidimensional networks
Properties of network data have been explored in depth; however, there is lack of methodology for the analysis of many specific network data-types. A particular type of network data are multidimensional networks, which correspond either to relations evolving over time or to different relation types recorded between subjects. The research goal is to work with complex networks and multidimensional networks, developing novel methodology tailored for the analysis of such data, with particular focus on modelling the dependence between multiple networks using a latent variable construct and Bayesian inference. The purpose is to provide information on the interdependence between different types of relations among a group of subjects.
For more information, please refer to the job ad: https://www.tcd.ie/media/tcd/scss/pdfs/PHD_ad_Network.pdf.

*
The development of novel statistical modelling approaches for dietary patterns analysis and their association with health outcomes (T-DIET)
The T-DIET project will develop novel statistical methodology to enable inference on dietary patterns, i.e., groups capturing different diets in a population, from longitudinal food intake data. The framework will rely on a Hidden Markov model (HMM), a type of latent variable model allowing to infer unobserved groups underlying longitudinal data, the dietary patterns. Further, it will allow one to model, in probabilistic terms, individuals' adherences to such patterns, permitting changes of diets over time, and directly quantifying uncertainty. Various complexities will be addressed, such as the compositional nature of intake data, or the incorporation of prior information available in the Nutrition literature on dietary patterns, e.g. their qualitative ordering. The methodology will be extended to incorporate the HMM into a quantile regression framework, to investigate the relationship between dietary patterns, individuals' adherence to such patterns, and health outcomes. The quantile regression framework will analyse relationships at all levels of health outcomes, and not only on average, as in standard regression approaches. The statistical methodology developed in the T-DIET project will have widespread potential application in the field of nutritional epidemiology. Last, open-source software implementing the methodology will be made available, to allow for its wide and feasible usage.
For more information, please refer to the job ad:
https://www.tcd.ie/media/tcd/scss/pdfs/PHD_ad___T_DIET.pdf.

Applicants should have (or expect to attain prior to project start) at least a 2.1 honours degree or equivalent in the areas of mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in statistical modelling and have some experience with statistical computing through R, python or C. Applicants for whom English is a second language will be required to demonstrate their competence in the English language in line with Trinity College Dublin requirements as appropriate.

Applicants should email Dr. Silvia D'Angelo (dangelos@tcd.ie) to apply. The application should include a 2-page comprehensive CV, academic transcripts
of the degree/ degrees, and a short cover letter/statement of purpose (2-pages max) indicating how their skills align with the project and their motivation for applying. Please include "PhD Application (T-DIET)" or "PhD Application (Statistical Network Analysis)" followed by your name in the subject line. The application CV should, at minimum, include the applicant's name, educational institution, qualification stating overall grade/percentage (predicted grades
are acceptable for those still studying) and contact details of two academic referees. Informal queries can be made to: dangelos@tcd.ie. Please include "PhD Query (T-DIET)" or "PhD Query (Statistical Network Analysis)" followed by your name in the subject line.

For more details on the hosting Institution and the posts, please visit the vacancies page of the School of Computer Science and Statistics, Trinity College Dublin: https://www.tcd.ie/scss/vacancies/ .

Best,
Silvia D'Angelo

---------------------------------------------------------------------

Silvia D'Angelo, PhD (she/her)

Assistant Professor in Statistics

School of Computer Science and Statistics

Trinity College Dublin

Ireland

Email: dangelos@tcd.ie

Website: https://sites.google.com/view/silviadangelo/home

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[DMANET] **** DM-SMARTHEALTH 2025 - Call for Papers ****

**** DM-SMARTHEALTH 2025 - Call for Papers ****

The 2nd International Workshop on Digital and Mobile Smart Health Systems
(DM-SMARTHEALTH 2025) will be held in conjunction with the 11th
International Conference on Smart Computing (SMARTCOMP 2025) 16th - 19th
June, 2025 in Cork, Ireland.

https://dm-smarthealth2025.iit.cnr.it

The healthcare sector is experiencing a profound transformation through the
integration of digital technologies. Smart health solutions, powered by
mobile and wearable devices, artificial intelligence, and context-aware
systems, are driving this revolution in patient care and health monitoring.
The second edition of this workshop aims to bring together researchers,
practitioners, and industry leaders to explore the latest advancements in
digital and mobile health systems.
This year, the workshop will expand its focus to include cutting-edge
topics, such as the use of Large Language Models (LLMs) in digital health
applications, addressing the challenges of integrating these models in
real-time healthcare solutions. The workshop will also delve into critical
areas like context-aware behavioral modeling, the use of AI for early
diagnosis, remote monitoring, and decision support, as well as privacy and
security concerns in health data. Participants will have the opportunity to
discuss and share insights on a wide range of topics, fostering
cross-disciplinary collaboration aimed at advancing the state of the art in
smart health systems.
By engaging in discussions on these emerging topics, the workshop will
contribute to the development of more efficient, reliable, and secure
digital health solutions that are crucial for improving patient outcomes
and revolutionizing healthcare delivery.

RELEVANT TOPICS
=============================
Areas of interest include (but are not limited to):

- Context-aware behavioral modeling techniques for personalized health
applications
- Innovative approaches for collecting, labeling, and validating
multimodal health and behavioral data
- Novel smart health applications for early diagnosis, remote monitoring,
and decision support using mobile and wearable technologies
- Middleware solutions for smart health and care systems to facilitate
interoperability and seamless integration of devices and services
- Decentralized architectures for mobile health solutions to enable
peer-to-peer data sharing and privacy-preserving analytics
- Federated, Distributed, and Personalized learning solutions for
privacy-preserving smart health systems
- AI optimization techniques for enhancing the performance and reliability
of mobile health applications
- Digital phenotyping: Leveraging IoT and wearable devices to identify
digital biomarkers for early detection of health conditions
- Human-computer interaction solutions to improve user engagement and
support decision-making in smart health applications
- Social interaction analysis: Understanding the role of personal mobile
devices and social media in monitoring health and well-being
- Synthetic data generation for accelerating the development of AI
solutions in digital healthcare
- Causal AI in healthcare: Exploring the potential for causal inference in
precision medicine and personalized health interventions
- Explainable AI (XAI) approaches to enhance trustworthiness and
interpretability of digital health models
- Security, privacy, and ethical challenges in the development and
deployment of smart health applications
- Medical Cyber-Physical Systems: Integrating hardware and software for
real-time healthcare monitoring and intervention
- The use of Large Language Models (LLMs) in digital health: Applications
in patient communication, decision support, and predictive modeling
- Challenges of deploying LLMs in mobile health systems: Issues of data
privacy, model accuracy, and real-time performance
- Human-AI collaboration: The future of AI-driven decision support and the
human role in healthcare delivery

Papers including new datasets and clinical/on-the-field validations will be
highly appreciated.

SUBMISSION AND REGISTRATION
=============================
Authors are invited to submit technical or theoretical papers for
presentation at the workshop, describing original, previously unpublished
work, which is not currently under review by another workshop, conference,
or journal. Papers should present novel perspectives within the general
scope of the workshop.

All accepted papers presented in the workshop will be published in the
proceedings of the conference and published in the IEEE Xplore Digital
Library and Scopus indexed. Papers that are not presented at the workshop
will not be published in the proceedings.

Papers may be no more than 6 pages in length. Authors can purchase one
additional page for the camera-ready version. Papers above the page limits
will not be considered for review or publication. All papers must be
typeset in double-column IEEE format using 10pt fonts on US letter paper,
with all fonts embedded. The IEEE LaTeX and Microsoft Word templates, as
well as related information, can be found on the IEEE website.

Submission must be made via EDAS using. Submission link
https://edas.info/N33047.

It is a requirement that all the authors listed in the submitted paper are
also listed in EDAS. The author section of EDAS will be locked after the
workshop submission deadline to ensure that conflict of interest can be
properly enforced during the review process. If the list of authors differs
between the paper and EDAS, the paper may not be reviewed.

Each accepted workshop paper requires a full SMARTCOMP registration (no
registration is available for workshops only) and in-person presentation.
Papers that are not presented at the workshop will not be published in the
proceedings.

IMPORTANT DATES
=============================
Paper submission deadline: March 30, 2025
Paper notification: April 30, 2025
Camera Ready Deadline: May 18, 2025
Workshop Date: Monday, 16 June 2025

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[DMANET] DISC 2025 - Call for Workshops and Tutorials

===============================================

*DISC 2025 Call for Workshops & Tutorials*
===============================================

DISC 2025 will be held this year in Berlin, Germany from the *27th to the
31st of October* (http://www.disc-conference.org/wp/disc2025/). We invite
proposals for full-day and half-day workshops and tutorials. They will take
place on Monday the 27th of October and Friday the 31st of October.

*We expect that most talks of workshops are **held in person at **the
conference site.* We intend to follow the "workshops template" from DISC
2019 (see the workshop program at a glance at
http://www.disc-conference.org/wp/disc2019/workshops/), that is, there will
be up to 3-4 workshops each day (depending on the predicted number of
participants) where we synchronize the parallel talks as much as possible
so that "cross-workshops" participants will not miss any of the talks. This
also guarantees shared coffee and lunch breaks.

The organizers of DISC will encourage students to participate in the
workshops, e.g., allotting a quota of free-of-charge local students, and
waiving workshop registration for students that participate in the main
conference. DISC will also waive the registration fees of a limited number
of speakers per workshop/tutorial.

We are interested in topics which are related to distributed computing and
systems on one hand, but also in topics that have the potential of
extending the scope of what the community sees as "distributed computing"
on the other hand.

===============================================
*Important Dates*
===============================================

*Workshop/Tutorial proposal deadline:* May 31, 2025, at 23:59 AoE.

The notification will be provided shortly after the proposal has been sent.

===============================================
*Instructions*
===============================================

Please email the Workshops & Tutorials Chair, Yannic Maus (
yannic.maus@tugraz.at), a short proposal with the following details:
1. Workshop/tutorial name and an optional acronym (please state whether
it is a workshop, a tutorial, or any other format).
2. Names, affiliations, and email addresses of the organizers. Please
specify who is the point of contact.
3. Short description of the workshop's topic and its relevance to the
DISC community.
4. Length: Half-day or full day.
5. Date preference: please state if you are OK with being scheduled to
the 9th or the 13th, or that you are OK with both options.
6. Tentative list of (possible) speakers.
7. A skeleton schedule of the workshop (see an example in here:
https://parsys.lri.fr/CELLS/#page_program, but of course you can have
shorter talks/posters, etc.).
8. A link to a website of a past meeting of your workshop (if
applicable).
9. Estimated number of speakers and attendees.
------
Regards,
William K. Moses Jr.
Publicity Chair, DISC 2025
https://sites.google.com/view/wkmjr

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[DMANET] Job offer: Power System Optimization Modeler

Job description
encoord is looking for a full-time Power System Optimization Modeler to join its office in Essen, Germany.

About encoord
encoord is a software company that helps energy stakeholders plan for the future. encoord's core solution is the Scenario Analysis Interface for Energy Systems (SAInt), an integrated modeling platform that enables coordination across planning domains. SAInt executes optimization models for system expansion, operations, and markets, along with physical simulations of electric, gas, and thermal networks, all in one modeling platform with a single and consistent data structure.

Utility planners and engineers can integrate planning across electric generation, transmission, and distribution by seamlessly transitioning between balanced and unbalanced AC power flow simulations and production cost optimizations. With SAInt, developers quantify the value and risks of new projects by running capacity expansion and production cost optimizations. In the same modeling platform, they can also assess infrastructure impacts through physical simulations.

SAInt's flexible and intuitive interface fosters collaboration between engineers, aligning different planning objectives and transforming energy planning. With offices in the United States and Germany, encoord serves electric and gas utilities, system and market operators, and asset developers worldwide.

About the Role
As a Power System Optimization Modeler, you will be part of encoord's Product Team and you will work closely with the Software Development Team. In this role, you will support the design, development, and maintenance of energy system models, focusing on power system optimization.

You will have the opportunity to work with a culturally-diverse and multi-disciplinary team and be part of a growing company whose mission is to enable the energy transition and help utilities plan for the future.

About you
The ideal candidate will have the following skills and expertise:
• Master's or Ph.D. in electric power systems, operations research, or similar.
• Knowledge and experience in mathematical optimization: linear and integer programming.
• A basic understanding of the design and operation of energy markets (long-term, day-ahead, intraday).
• Knowledge of capacity expansion modeling is a plus.
• Aptitude for software development and familiarity with object-oriented design.
• Strong analytical skills, creative thinking, ability to grasp and convey complex concepts
• Excellent written and verbal communication skills in English.

Equal employment opportunity
Inclusion and diversity are critical to the success of encoord. We actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category.

Let's Work Together!
If you are interested in this position, please email your CV and a cover letter to careers@encoord.com.

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[DMANET] Promotionsstelle an der TU Dortmund

Der Lehrstuhl für Effiziente Algorithmen und Komplexitätstheorie an der Fakultät für Informatik II der Technischen Universität Dortmund bietet zum nächstmöglichen Zeitpunkt ein*e Doktorand*Innen Stelle zunächst befristet für drei Jahre nach Entgeltgruppe E13 TV-L mit 100 % der regelmäßigen Arbeitszeit an.

Die Stelle ergänzt unser Team mit neuen Forschungsthemen in den Bereichen zufällige diskrete Strukturen und randomisierte Algorithmen. Die Stelle ist eingebettet in ein kreatives, attraktives und international renommiertes Forschungsumfeld. Informationen zum Lehrstuhl sind zu finden unter

https://eac.cs.tu-dortmund.de/

Ihre Qualifikation:
-Abschluss (M.Sc.) in Informatik, Physik, Mathematik. theoretischer Physik oder ähnlichen Studiengängen mit guten Kenntnissen in Kombinatorik, Wahrscheinlichkeitstheorie oder Algorithmik.
-Hohes Maß an Kreativität, Engagement, analytischer Kompetenz und Teamfähigkeit.
-Sehr gute Englischkenntnisse für Ihre wissenschaftlichen Publikationen und Präsentationen.

Aufgaben:
-Forschungstätigkeiten in den Schwerpunkten des Lehrstuhls (s. https://ls2-web.cs.tudortmund.de/~mamicoja/pub_aco.pdf für neuere Publikationen)
-Mitarbeit in der Lehre (4 SWS - Lehrveranstaltungen in der Algorithmik und Komplexitätstheorie) sowie der Betreuung von Abschlussarbeiten.
-Mitarbeit bei administrativen Tätigkeiten (z.B. Organisation von Lehrveranstaltungen, Tagungen, Drittmittelaquise)

Bewerbungen inklusive CV, Publikationsverzeichnis und Zeugnissen bitte bis zum 21.3.2025 per email an

ulrike.spear@tu-dortmund.de

Die Vorstellungsgespraeche werden ueber Zoom stattfinden.

Die offizielle Ausschreibung ist unter
https://service.tu-dortmund.de/documents/18/2120797/Ausschreibung+w31_25.pdf/12a356ac-8341-69e8-ce5d-6469b4f9b278
abrufbar.
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[DMANET] Computational Optimization

Call for Papers

18th International Thematic Track/Workshop on Computational Optimization
(CO25)
Krakow, Poland, September 14-17, 2025

organized in the framework of CONFERENCE ON COMPUTER SCIENCE AND
INFORMATION SYSTEMS
FedCSIS - 2024

IEEE CS is a technical co-sponsor of FedCSIS 2025

https://2025.fedcsis.org/thematic/co
===============================

We invite original contributions related to both theoretical and practical
aspects of optimization methods. The list of topics includes, but is not
limited to:

* combinatorial and continuous global optimization
* unconstrained and constrained optimization
* multiobjective and robust optimization
* optimization in dynamic and/or noisy environments
* optimization on graphs
* large-scale optimization, in parallel and distributed computational
environments
* meta-heuristics for optimization, nature-inspired approaches and any
other derivative-free methods
* exact/heuristic hybrid methods, involving natural computing techniques
and other global and local optimization methods
*numerical and heuristic methods for modeling

The applications of interest are included in the list below, but are not
limited to:

* classical operational research problems (knapsack, traveling salesman,
etc)
* computational biology and distance geometry
* data mining and knowledge discovery
* human motion simulations; crowd simulations
* industrial applications
* optimization in statistics, econometrics, finance, physics, chemistry,
biology, medicine, and engineering.
*environment modeling and optimization
===============================

Best paper award

The best CO25 paper will be awarded during the social dinner of FedCSIS2025.
The best paper will be selected by CO25 co-Chairs by taking into
consideration the scores suggested by the reviewers, as well as the quality
of the given oral presentation.

===============================

Submission and Publication

* Authors should submit draft papers in PDF format.
* The total length of a paper should not exceed 12 pages for regular paper
and 6 pages for short papers (IEEE style). IEEE style templates are
available at http://2025.fedcsis.org/.
* Papers will be refereed and accepted on the basis of their scientific
merit and relevance to the trakc.
* Accepted and presented papers will be published in the Conference
Proceedings and included in the IEEE Xplore database and submitted for
different indexations (Communication and Position papers will only appear
in the conference proceedings).
* Extended versions of selected papers presented at CO25 will be published
in edited book of the series "Studies of Computational Intelligence",
Springer with SJR 0.237.

===============================

Important dates:

+ Paper submission (strict deadline): May 25, 2025, 23:59:59 pm HST (there
will be no extension)
+ Position paper submission: June 10, 2025
+ Author notification: July 01, 2025
+ Final paper submission and registration: July 17, 2025
+ Conference date: September 14-17, 2025

===============================================================================
Organizing Committee

Stefka Fidanova, Bulgarian Academy of Science, Bulgaria
Antonio Mucherino, IRISA, University of Rennes 1, France
Daniela Zaharie, West University of Timisoara, Romania

If you have any question do not hesitate to send an email to :
co@fedcsis.org

===============================

--
Prof. Stefka Fidanova
IICT-BAS
Acad. G. Bonchev str. bl.25A
1113 Sofia Bulgaria
Ph. +359-2-9796642

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[DMANET] Two Assistant Professor Positions at Leiden University

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for an:
Assistant Professor in Formal Methods (0.8-1.0 FTE), and
Assistant Professor in Computer Science (0.8-1.0 FTE)

For details, see the following advertisements:
https://www.universiteitleiden.nl/en/vacancies/2025/q1/15460-assistant-professor-in-formal-methods-0.8-1.0-fte
https://careers.universiteitleiden.nl/job/Leiden-Assistant-Professor-in-Computer-Science-%280_8-1_0-FTE%29/1168484101/

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[DMANET] [JAIR Special Track - 4th CFP] Integration of Logical Constraints in Deep Learning

(apologies for cross-posting)

======================================================================
Special Track on Integration of Logical Constraints in Deep Learning
----------------------------------------------------------------------
Journal of Artificial Intelligence Research (JAIR)
Deadline: May 31, 2025
Info: https://www.jair.org/index.php/jair/SpecialTrack-LogicDL
======================================================================
Track Editors:
----------------------------------------------------------------------
Alessandro Abate, University of Oxford, U.K.
Eleonora Giunchiglia, Imperial College London, U.K.
Bettina Könighofer, Graz University of Technology, Austria
Luca Pasa, University of Padova, Italy
Matteo Zavatteri, University of Padova, Italy
======================================================================

Overview:

Over the last few years, the integration of logical constraints in Deep Learning models has gained significant attention from research communities for its potential to enhance the interpretability, robustness, safety, and generalization capabilities of these models. This integration opens the possibility of incorporating prior knowledge, handling incomplete data, and combining symbolic and subsymbolic reasoning. Moreover, the use of logical constraints improves generalization, formal verification, and ethical decision-making. The versatility of logical constraint integration spans diverse domains, presenting both research challenges and opportunities. In recent times, there has been a growing trend in incorporating logical constraints into deep learning models, especially in safety-critical applications. Looking ahead, challenges in this field extend to the development of Machine Learning models that not only incorporate logical constraints but also provide robust assurances. This involves ensuring that AI systems adhere to specific (temporal) logical or ethical constraints, offering a level of guarantees in their behavior.

Thus, this special track seeks submissions on the integration of logical constraints into deep learning approaches. We are particularly interested in the following broad content areas.

- Formal verification of neural networks is an active area of research that has been proposing methods, tools, specification languages (e.g., VNNLIB), and annual competitions (e.g., VNN-COMP) devoted to verify that a neural network satisfies a certain property typically given in (a fragment) of first order logic.

- Synthesis aims at synthesizing neural networks that are compliant with some given constraint. Approaches to achieve this aim range from modifying the loss function in the training phase (i.e., soft constraint injection) to exploit counterexample guided inductive synthesis (CEGIS).

- Monitoring: Logical constraints can be used to mitigate and/or neutralize constraint violations of machine learning systems when formal verification and synthesis are not possible. Shielding techniques intervene by changing the output of the network when a constraint is being violated. Runtime monitoring can be used to anticipate failures of AI systems without modifying them.

- Explainability: Automated learning of formulae and logical constraints from past executions of the system provides natural explanations for neural network predictions and poses another avenue for future research. Formulae and constraints offer a high degree of explainability since they carry a precise syntax and semantics, and thus they can be "read" by humans more easily than other explainability methods.

This special track aims to explore and showcase recent advancements in the integration of logical constraints within deep learning models, spanning the spectrum of verification, synthesis, monitoring and explainability, by considering exact and approximate solutions, online and offline approaches. The focus will also extend to encompass innovative approaches that address the challenges associated with handling logical constraints in neural networks.

Submissions:

This special track seeks contributions that delve into various aspects of logic constraint integration in deep learning, including, but not limited to:

- Learning with logical constraints
- Enhancing neural network expressiveness for logical constraints
- Formal verification (certification) of neural networks
- Automated synthesis of certified neural networks, or of AI systems with neural nets
- Decision making: Strategy/policy synthesis for AI systems with neural networks
- Runtime monitoring of AI systems
- Learning of (temporal) logic formulae for explainable and interpretable AI
- Scalability challenges in neural networks with logical constraints
- Real-world applications of neural networks with logical constraints
- Enhancing model explainability via logical constraints
- Design of neural networks under temporal logical requirements

Pertinent review papers of exceptional quality may also be considered.
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[DMANET] PhD Position in Discrete Geometry

The Discrete Geometry group at Goethe University Frankfurt, led by Prof. Dr.
Raman Sanyal, is looking for a PhD student (m/f/d) to join our research project
"Combinatorial Polytope Theory" (COMPOTE). This is a 3-year position (E13 TV-L,
75%), starting June 1, 2025 (negotiable, but no later than September 1, 2025).
COMPOTE is a Spanish-German collaboration funded by Deutsche
Forschungsgemeinschaft (DFG) and Agencia Estatal de investigación (AEI),
focusing on the combinatorics of polytopes. The successful candidate will work
closely with Prof. Arnau Padrol (Universitat de Barcelona) and will have
opportunities for research visits to Barcelona. More details can be found
here https://www.ub.edu/comb/compote

Requirements
• Master's degree (or equivalent) in mathematics or a closely related field
• Background (or strong motivation to learn) in geometric combinatorics
(polytopes, polyhedral subdivisions, oriented matroids)
• Interest in computer-aided exploration is a plus
• Good English skills (written & spoken)
• Independent work style & ability to collaborate in a team

We Offer
• A funded 3-year PhD position (E13 TV-L, 75%) including the usual benefits of a
position in the German public sector (e.g., health insurance, pension
contributions, and social security)
• A dynamic and collaborative research environment
• Opportunities for international collaboration and research visits

Application Process
To apply, send a single PDF file containing:
• Cover letter
• CV
• Copies of relevant degrees/certificates (Abitur, Bachelor, Master)
• A short (max. 1 page) summary of your thesis topic and results (incl.
advisor's name)
Send applications to Prof. Dr. Raman Sanyal (sanyal@math.uni-frankfurt.de)

Deadline: March 18, 2025

We look forward to your application!

———
Prof. Dr. Raman Sanyal (he/him/his)
Goethe-Universität Frankfurt - Institut für Mathematik (FB12)
Robert-Mayer-Str. 10
60325 Frankfurt am Main
+49 (0)69 798 23411
www.math.uni-frankfurt.de/~sanyal

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[DMANET] PhD Student Openings in the School of Computer & Cyber Sciences at Augusta University

I am looking for highly self-motivated students with a strong background in Mathematics and/or algorithms to pursue PhD in the School of Computer & Cyber Sciences at Augusta University. Financial support is expected to be in the form of a research/teaching assistantship.

Ideal candidates should meet the following qualifications:

* B.S. or M.S. in either Computer Science, Mathematics, or a related field
* Strong interest in algorithms
* Additional PhD admission criteria for the PhD program can be found at https://www.augusta.edu/ccs/phd-ccs.php.
The positions will remain open until filled with applications being processed in the order in which they are received. If you are interested, please email your CV and academic transcripts to Dr. Ming Ming Tan (mtan@augusta.edu)

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[DMANET] BCCA 2025: The 7th International Conference on Blockchain Computing and Applications, Dubrovnik, Croatia

*The 7th International Conference on Blockchain Computing and Applications
(BCCA 2025)*

14-17 October 2025 | Dubrovnik, Croatia

*Hybrid Conference*

*https://bcca-conference.org/*

*Sponsored by IEEE Croatia Section*

Blockchain is a revolutionary technology in decentralized systems that
enables secure decentralized transaction processing while ensuring data
privacy and authenticity. It plays a significant role in several areas,
such as the Internet of Things, supply-chain management, manufacturing,
cyber-physical systems, healthcare systems, etc. Unlike centralized
transaction processing solutions, blockchain uses a distributed ledger
mechanism to record data transactions on multiple devices; this will
prevent data breaches, identity theft, and a plethora of cyber-related
attacks, leading to sustainability in data privacy and security. This
conference aims to attract the work of both researchers and practitioners
in the area of cyber-security to share and exchange their experiences and
research studies in both academia and industry in the field of blockchain.

Researchers are encouraged to submit original research contributions in all
major areas, which include, but are not limited to:

- Track 01: Large Language Models (LLMs) and Blockchain
- Track 02: Artificial Intelligence and Machine Learning
- Track 03: IoT and Cyber-Physical Systems
- Track 04: Big Data and Analytics
- Track 05: Security and Privacy on the Blockchain
- Track 06: Metaverse and Digital Twin
- Track 07: IoT Network Security
- Track 08: Blockchain Research & Applications for Innovative Networks
and Services
- Track 09: Quantum Computing and Blockchain

*Publication*

*IEEE is a technical sponsor of BCCA 2025*. All accepted papers in BCCA
2025 and the workshops co-located with it will be submitted to IEEEXplore,
dblp and Scopus for inclusion.

*Important Dates:*

- Papers due: March 15, 2025
- Acceptance notification: May 26, 2025
- Registration due: June 26, 2025
- Camera-ready paper due: July 26, 2025
- Workshop/Tutorial Proposal Submission: March 15, 2025
- Workshop/Tutorial Proposal Acceptance: April 1, 2025

*Main track Submission Guidelines:*

There are three categories of submission (Overlength charges will be
applied!):

- *Long papers:* (7-8 pages).
- *Short papers:* (5-6 pages).
- *Poster papers:* (2 pages)

*Submission Link: *https://edas.info/N33458

*Organizing Committee*
*Honorary Chair*

- Vlatko Lipovac, University of Dubrovnik, Croatia
- Flavia Delicato, Fluminense Federal University, Brazil

*General Chair*

- Adriana Lipovac, University of Dubrovnik, Croatia

*Program Co-Chairs*

- Safa Otoum, Zayed University, UAE
- Müge Özçevik , Istanbul Technical University, Turkey
- Dusan Ramljak, Penn State Great Valley, USA

--Regards,

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[DMANET] iMETA 2025: The 3rd International Conference on Intelligent Metaverse Technologies & Applications, Dubrovnik, Croatia

*The 3rd International Conference on Intelligent Metaverse Technologies &
Applications (iMETA 2025)*

14-17 October 2025 | Dubrovnik, Croatia

*Hybrid Conference*

*Technically sponsored by IEEE Croatia section*

https://imeta-conference.org/

Over the years, technology has advanced significantly, and the creation of
virtual environments (i.e., metaverse) is one of the latest innovations to
revolutionize how we interact, process, and connect our real lives to other
lives. With the metaverse, we are presented with a new realm that blurs the
lines between the physical and digital world, providing a new space for
communication, commerce, services, and entertainment.

The International Conference on Intelligent Metaverse Technologies &
Applications (iMETA) is to bring together leading researchers, academics,
and industry experts to explore the various aspects of the distributive
metaverse, including its technologies, applications, and implications for
various industries. Attendees can expect to participate in exciting keynote
speeches, panel discussions, and presentations on cutting-edge research
field.

Throughout the conference, there will be ample opportunities for attendees
to network, share their knowledge, and collaborate on future initiatives
that will drive the development of the metaverse forward. We are confident
that iMETA conference will inspire new ideas, foster innovation, and spark
collaborations that will push the boundaries of the metaverse and its
potential to change the world as we know it.

The metaverse is a complex system that requires careful planning, design,
and implementation to function correctly. The iMETA conference will delve
into several key areas related to communication, computing, and systems
within the metaverse. Communication is a fundamental aspect of the
metaverse, allowing users to interact with one another, share information,
and collaborate on tasks. Computing is also essential for the metaverse
advancements and to function effectively. Topics such as distributed
computing, cloud computing, and edge computing are to be revisited within
the metaverse realm.

Overall, the iMETA conference aims to provide attendees with a
comprehensive understanding of the communication, computing, and system
requirements of the metaverse. Through keynote speeches, panel discussions,
and presentations, attendees will have the opportunity to engage with
leading experts and learn about the latest developments and future trends
in the field. The conference will also provide ample opportunities for
networking, sharing knowledge, and collaborating with others in the
metaverse community.
List of Tracks:

- Track 1: Large Language Models (LLMs) in the Metaverse
- Track 2: Native AI for Metaverse Technologies
- Track 3: Security and Privacy
- Track 4: Networking and Communications
- Track 5: Systems and Computing
- Track 6: Multimedia and Computer Vision
- Track 7: Immersive Technologies and Services
- Track 8: Storage and Processing

*Publication*

*IEEE is a technical sponsor of iMETA 2025*. All accepted papers in iMETA
2025 and the workshops co-located with it will be submitted to IEEEXplore,
dblp and Scopus for inclusion.

*Important Dates:*

- Papers due: March 15, 2025
- Acceptance notification: May 26, 2025
- Registration due: June 26, 2025
- Camera-ready paper due: July 26, 2025
- Workshop/Tutorial Proposal Submission: March 15, 2025
- Workshop/Tutorial Proposal Acceptance: April 1, 2025

*Submission Guidelines:*

Manuscripts must be original, not previously published, or under review by
another conference or journal. Submissions should adhere to the IEEE
Conference Proceedings Format, using a double-column layout, 10-point font,
and letter-sized paper. Manuscripts must be submitted in PDF format and
should not exceed 6 pages for the review process. Accepted papers may
extend to a maximum of 8 pages for the camera-ready version, subject to an
overlength page fee.

*Submission Link: **https://easychair.org/my/conference?conf=imeta2025*

*Organizing Committee*
Steering Committee

- Albert Zomaya, University of Sydney, Australia
- Giancarlo Fortino, University of Calabria, Italy
- Ian F. Akyildiz, Truva Inc., USA
- Merouane Debbah, TII, UAE
- Nirwan Ansari, New Jersey Institute of Technology, USA
- Salil Kanhere, UNSW Sydney, Australia
- Walid Saad, Virginia Tech, USA
- Moayad Aloqaily, MBZUAI, UAE

General Co-chairs

- Adriana Lipovac, University of Dubrovnik, Croatia
- Yulei Wu, University of Bristol, <https://www.essex.ac.uk/>UK

Program Co-chairs

- Ouns Bouachir, Zayed University, UAE
- Elif Bozkaya, National Defence University Turkish Naval Academy, Turkey
- Marwan Omar, Illinois Institute of Technology, USA

--Regards,

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