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Arthur DelarueView profile

Assistant Professor

• Marketplace analytics
• Public sector operations
• Data-driven decision-making
• +4 more

Arthur Delarue is an Assistant Professor at the University of Virginia Darden School of Business in the Data Analytics and Decision Sciences area. Previously, he served as an Assistant Professor of Industrial and Systems Engineering at Georgia Tech's Stewart School and completed a postdoctoral fellowship at Lyft Rideshare Labs. His research spans marketplace analytics and public sector operations. In marketplace analytics, he focuses on data-driven decision frameworks, experimentation methodologies, and pricing models particularly in platform businesses. In public sector operations, he collaborates with K-12 school districts to solve complex optimization problems intersecting with policy implementation. Dr. Delarue has led significant applied research projects including the redesign of school bus routing systems in Boston, optimization of public school scheduling in San Francisco, and development of course timetables at MIT. His recent presentation at MSOM 2025 in London addressed learning algorithms and pricing mechanisms in ride-hailing platforms. His educational background includes an S.B. and Ph.D. from the Massachusetts Institute of Technology, with doctoral work completed at the MIT Operations Research Center in 2021. Prior to his academic career, he gained industry experience as a research intern at Google's Operations Research team.

Dominique de WerraView profile

Academic

• Operations Research
• Combinatorial Optimization
• Graph Theory
• +5 more

Dominique de Werra is an Honorary Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with the Department of Mathematics within the Faculty of Basic Sciences. He holds an Engineering degree and a Doctorate in Operations Research from EPFL. His career includes roles as Full Professor (1979–2008), Vice-President (1991–2000), and Dean of International Relations (2000–2004). He has served as President of IFORS (2010–2012) and EURO (1987–1988), and led academic networks like CLUSTER and EURECOM. His research focuses on Operations Research, Combinatorial Optimization, Graph Theory, and applications in scheduling, logistics, and multidisciplinary fields. He has authored over 200 technical publications, co-authored textbooks like Operations Research for Engineers , and edited numerous journal special issues. Awards include Honorary Doctorates from Paris-Dauphine, Poznan, and Fribourg, as well as the EURO Gold Medal (1995) and Distinguished Service Medal (2012). de Werra has supervised over 140 master’s theses and 350 student projects. He has held visiting professorships worldwide and served on editorial boards of journals like Discrete Applied Mathematics and European Journal of Operational Research . His contributions span academic leadership, conference organization, and interdisciplinary collaborations in archaeology, zoology, and engineering.

Martin JobornView profile

Adjunct Associate Professor

• Railway Transport
• Transportation Planning
• Operations Research
• +3 more

Martin Joborn is an Adjunct Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems school. His research focuses on railway and public transport optimization, including delay analysis, freight car distribution, and integrated traffic-management systems. Key contributions include studies on railway punctuality improvement, freight logistics optimization, and infrastructure utilization. He contributed to the 2019 RailNorrköping conference as an organizer and researcher. His work bridges theoretical models with practical applications in transportation systems. Recent publications analyze freight car distribution algorithms, timetable adherence effects, and critical disturbance identification in railway networks. His research emphasizes cost-benefit frameworks and optimization models for traffic and maintenance planning.

Bernardo Martin IradiView profile

Lecturer

• Public transportation
• On-demand mobility
• Maritime logistics
• +3 more

Bernardo Martin Iradi is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. He holds a PhD in Operations Research from DTU Management (Technical University of Denmark) and has served as a Postdoctoral researcher and teaching assistant at ETH Zurich since 2023. His professional experience includes roles as a Doctoral researcher at DTU, a routing consultant at AMCS Group, and teaching responsibilities in courses like Logistics and Freight Transportation and Transport Systems. His research focuses on public transportation optimization , on-demand mobility systems , maritime logistics , and network optimization . Notable projects include developing algorithms for railway timetabling stability, cooperative game analysis in multi-port operations, and dynamic capacity planning for multimodal transit systems. Recent work emphasizes microscopic modeling of railway networks, logic-based decomposition approaches for timetabling, and stochastic optimization for demand-responsive transit. He has presented at leading conferences such as RailDresden 2025 and TRISTAN XII, showcasing advancements in transportation systems optimization. Education: PhD in Operations Research (2019–2023), DTU Management MSc in Industrial Engineering and Management (2016–2018), Technical University of Denmark BSc in Industrial Technology Engineering (2011–2015), Polytechnical University of Catalonia Professional contributions include collaborations with industry partners like AMCS Group and involvement in projects like the DADA initiative addressing railway delay propagation. His work bridges theoretical optimization methods with practical transportation challenges.

• Approximation Algorithms
• Network Design Problems
• Operations Research
• +3 more

Barbara M. Anthony is the Lord Chair and Professor of Computer Science at Southwestern University. She holds a PhD from Carnegie Mellon University (2008) and a BA from Rice University (2001). Her expertise spans Approximation Algorithms, Network Design, Operations Research, Graph Theory, and Algorithmic Game Theory. She teaches courses ranging from introductory programming to advanced topics like Theory of Computation and supervises academic internships. Dr. Anthony is actively involved in student research mentorship, leading projects such as algorithm development for course scheduling, transportation optimization, and educational tools like the Surad.io streaming platform. She has secured grants including an NSF S-STEM Award ($614k) and a Google CS Engagement Award ($5k). Notable awards include recognition as an ACM Senior Member and contributions to diversity initiatives like NCWIT Extension Services. She advises UPE (Computer Science Honor Society) and collaborates with nonprofits like Faith in Action Georgetown. Research highlights include work on Doodle Poll voting equilibria (AAMAS 2018), Dial-a-Ride optimization (ATMOS 2019), and bottleneck matching algorithms (COCOA 2022). Over 30 students have conducted research under her guidance, many presenting at conferences like Texas Academy of Sciences and SIGCSE. Her pedagogical innovations include integrating real-world datasets (e.g., UCSC Genome Browser) into coursework and promoting parallel computing concepts in first-year seminars. Affiliations: Department of Computer Science, Southwestern University Grants: NSF S-STEM, Google CS Engagement, NCWIT Labs/Teams: Collaborations with local nonprofits (Faith in Action), tech startups (Surad.io), and interdisciplinary student projects Future Work: Expanding AI ethics education, optimizing university timetabling systems, and fostering diversity in computing

• Operations Research
• Scheduling Optimization
• Metaheuristics
• +11 more

Marino Widmer is a Full Professor and Head of the Department of Computer Science at the University of Fribourg, within the Faculty of Mathematics, Natural Sciences and Medicine. He is actively engaged in research and academic leadership, with a strong publication record in operations research, scheduling, optimization, and intelligent systems. His research interests span Operations Research, Scheduling Optimization, Metaheuristics, Artificial Intelligence, Machine Learning, Decision Support Systems, Supply Chain Management, Automated Driving, Human-Computer Interaction, Workforce Planning, and Industrial Engineering . His recent work focuses on human factors in automated driving, including physiological monitoring, takeover quality prediction, and multimodal interfaces for driver support. The analysis of his recent publications reveals a strong trend toward interdisciplinary research combining AI, human factors, and industrial applications, particularly in transportation and public sector management. His work integrates machine learning with physiological data to improve safety in automated vehicles and applies decision analysis to real-world organizational challenges. Awarded no explicitly mentioned scientific awards. He has advised researchers such as Agneta Ramosaj and Francesca Venteicher and has been involved in projects related to fire department mergers, sales forecasting, and AI companions for drivers. While no specific grants are mentioned, his extensive publication output suggests sustained research funding. He leads the Department of Computer Science and is involved in interdisciplinary collaborations across engineering, psychology, and public administration. Marino Widmer is affiliated with the Institute for Automation and Operations Research at the University of Fribourg and has collaborated with institutions in Canada, France, and across Europe. His research has practical applications in manufacturing, transportation, and public service optimization.

• Algorithmic Graph Theory
• Combinatorial Optimization
• Graph Colouring
• +7 more

Professor Rhydian Lewis is a distinguished academic at Cardiff University's School of Mathematics, holding a Personal Chair since 2023. Previously, he served as a Reader (2019-2023), Senior Lecturer (2015-2019), and Lecturer (2008-2015) at the same institution, with earlier appointments at Cardiff Business School (2006-2008) and Edinburgh Napier University (2003-2006). He is a Fellow of the Higher Education Academy and serves as an Associate Editor for the International Journal of Metaheuristics. His research spans algorithmic graph theory, combinatorial optimization, and operational research, with specific expertise in graph coloring, vehicle routing, shortest path algorithms, school bus routing, automated timetabling, and metaheuristics. Lewis has made significant contributions to both theoretical and applied aspects of these fields, developing practical solutions for real-world problems in transportation, agriculture, healthcare scheduling, and network analysis. His recent publications demonstrate a strong trajectory in graph theory applications, particularly in street network analysis, payment channel networks, and livestock routing. The research shows increasing interdisciplinary connections between theoretical computer science, operations research, and practical applications in urban planning, financial technology, and agricultural engineering. His work often bridges theoretical algorithm development with practical implementation, as evidenced by his GCol Python library for graph coloring. Fellow of the Higher Education Academy Associate Editor, International Journal of Metaheuristics Guest Editor, Special Issue on Algorithms for Graphs and Networks (Algorithms, 2020) Program Committee Member for EVOCOP, PATAT, and GECCO conferences Professor Lewis actively supervises PhD students in combinatorial optimization, algorithmic graph theory, and transportation problems. His current supervisees include Monique Sciortino, Daniel Hambly, and Lukas Dijkstra, while his past students have completed research on score-constrained packing, dynamic graph coloring, dynamic arc routing, urban transportation networks, operating theatre schedules, and vehicle routing problems. His collaborative work spans multiple institutions and disciplines, particularly with researchers like P. Corcoran, J. Thompson, and D. Thiruvady. Lewis maintains active research teams focused on graph algorithms and operational research applications, with strong connections to industry through projects like the European Consortium for Mathematics in Industry. His work on school transport systems demonstrates practical impact in community applications.

Renato BruniView profile

Associate Professor

• Optimization
• Machine Learning
• Bioinformatics
• +10 more

Renato Bruni is Associate Professor at the Department of Computer, Control and Management Engineering of Sapienza University of Rome , Italy. He teaches in the Management Engineering and Bioinformatics study programs. His research focuses on Optimization, Machine Learning, and Bioinformatics , with applications spanning spacecraft control, biomedical engineering, and financial portfolio management. Research Interests His scientific activity is centered on: Combinatorial Optimization Data Mining and Classification Derivative-free Optimization Computational Molecular Biology Information Reconstruction Recent Research Trends The analysis of his publications reveals a strong focus on: Power distribution network optimization Spacecraft attitude control via mathematical programming Higher education data quality and institutional heterogeneity Robust classification with limited training data Stochastic dominance in portfolio selection Physician scheduling optimization Grants and Collaborations Principal Investigator in Sapienza-funded projects (2013–2019) Member of EU H2020 RISIS 2 project (2019–2022) Collaboration with international experts: Peter L. Hammer (Rutgers), Fabio Tardella (Sapienza), and Istat (Italian National Statistical Institute)

Raimo MichaelsenView profile

Professor

• Railway Engineering
• Control Engineering
• Safety Engineering
• +6 more

Professor Raimo Michaelsen serves as Professor of Railway Engineering, especially Control and Safety Engineering at the Department of Traffic and Transport at University of Applied Sciences Erfurt. He holds multiple leadership roles including Head of the Bachelor's program in Industrial Engineering in Railway Engineering (B.Eng.), Member of the Study Commission, Member of the Examination Board, and Member for Research and Teaching Affairs in the Faculty Council. Doctorate in Civil Engineering at TU Braunschweig (2004) Civil Engineering studies (Transport Engineering specialization) at University of Hanover (1993-1999) Professor Michaelsen's research focuses on railway engineering with special emphasis on control and safety technology. His work spans railway operations science, risk and hazard analyses of operating procedures, timetable and infrastructure concepts, and analysis of operating procedures. The railway system research encompasses the components track, safety technology, rolling stock, and operations interfaces. His extensive publication record demonstrates expertise in railway infrastructure optimization, safety systems implementation, timetable construction, and capacity analysis. Recent work shows particular focus on digitalization in rail operations, ETCS implementation challenges, and infrastructure adaptation for the Germany Takt concept. FH Erfurt study prize (first place, 2010) Professor Michaelsen supervises numerous Master's and Bachelor's theses in railway engineering topics, with recent work covering infrastructure optimization, safety technology, timetable construction, and operational concepts. His teaching spans both the Industrial Engineer in Railway Engineering and Industrial Engineer in Traffic, Transport, Logistics programs, with specialized courses in control and safety technology, timetable construction, and railway network simulation. He also teaches at St. Pölten University of Applied Sciences in their Railway Technology and Mobility program. His department maintains strong industry connections through excursions to railway infrastructure sites, signaling technology companies, and operational centers, providing students with practical exposure to the railway sector.

Kate HanView profile

Lecturer

• Scheduling and Timetabling
• Transportation Simulation and Optimization
• Metaheuristics and Evolutionary Algorithms
• +4 more

Dr. Kate Han serves as a Lecturer at Salford Business School, University of Salford, specializing in computational optimization and AI-driven solutions for real-world business and transportation challenges. Her academic foundation includes a PhD in Software Engineering from Queen's University Belfast (2018), where she pioneered hyper-heuristic approaches for timetabling problems using reinforcement learning. Affiliated with the Salford Business School Research Centre, she actively contributes to UN Sustainable Development Goals for quality education, sustainable industry, and resilient cities. Dr. Han's research expertise spans: Scheduling and timetabling optimization using metaheuristics Transportation simulation with evolutionary algorithms Ensemble learning and deep neural network architectures Data-driven business process automation AI-assisted educational innovation in higher education Her work bridges theoretical AI advancements with practical applications in public transport, sustainable infrastructure, and business education transformation. Recent publications (2023-2025) reveal a strategic shift toward sustainable transportation systems and educational technology. Key trends include optimizing connected autonomous vehicle integration in multi-modal networks using evolutionary algorithms, developing novel ensemble selection techniques (VISTA/VEGAS), and pioneering generative AI applications for business education. These efforts consistently align with net-zero emission goals and digital transformation imperatives across sectors. Her scientific recognition includes: Hornory Lecturer award (2022) for honorary research contributions Dr. Han teaches advanced business technology courses including AI in Practice, Business Data Information Analytics, and Prompt Engineering for Business. She actively collaborates with government bodies and industry partners on real-world projects, though specific grant details remain undisclosed. Her research methodology emphasizes stakeholder engagement across diverse project scales, from micro-level business process automation to macro-level urban transport simulations. As a core contributor to Salford Business School's research ecosystem, she participates in international initiatives like the 2024 International Conference on Software Engineering and Cybersecurity. Her work demonstrates how computational intelligence can drive sustainable industrial innovation while advancing educational practices in the post-pandemic era.

• Transportation Planning
• Logistics and Supply Chain Management
• Sustainable Development
• +4 more

Vitalii Naumov is an Associate Professor at the Chair of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology. His expertise spans transportation planning, logistics optimization, and sustainable urban development. He holds BEng, PhD, and DSc degrees. Research focuses include freight transport efficiency, public transport synchronization using genetic algorithms, and cargo bike integration in urban logistics. His work emphasizes environmental impact assessment and stochastic demand modeling in logistics systems. Key collaborations involve researchers like Hanna Vasiutina and Andrzej Szarata, with over 10 joint publications. He has contributed to projects like sustainable grain transit infrastructure and emissions reduction strategies for urban deliveries. Prof. Naumov’s methodologies include simulation modeling, fuzzy-logic systems, and big data analytics applied to transport systems. He advises on optimizing multimodal transport terminals and logistics chain structures.

Panagiotis StamatopoulosView profile

Assistant Professor

• Artificial Intelligence
• Constraint Programming
• Logic Programming
• +9 more

Panagiotis Stamatopoulos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been employed since 1993. He holds a PhD in Computer Science (1988) and a Diploma in Physics (1982) from the University of Athens. His research spans artificial intelligence, constraint programming, natural language processing, machine learning, and optimization. Specific interests include: Hybrid approaches combining constraint programming with operations research Natural language understanding for database access Parallel processing and distributed constraint solving Multi-agent systems and web intelligence applications His publications show consistent focus on constraint satisfaction algorithms, text summarization techniques, educational timetabling systems, and AI applications in diverse domains like sports analytics and robotics. Recent works demonstrate increased attention to NLP evaluation metrics and multimodal learning. He has supervised numerous diploma theses and led projects funded by the European Union (EDS, APPLAUSE, PARACHUTE, PARROT), University of Athens, and Olympic Airways. Stamatopoulos teaches undergraduate courses in Introduction to Programming and Logic Programming, plus postgraduate courses in Advanced Artificial Intelligence. He previously taught Artificial Intelligence, System Programming, and Expert Systems.

Twan DollevoetView profile

Associate Professor

• Combinatorial Optimization
• Railway Optimization
• Transportation Systems
• +3 more

Twan Dollevoet is an Associate Professor at the Econometric Institute of the Erasmus School of Economics, Erasmus University Rotterdam. His research focuses on combinatorial optimization, with applications in railway systems, transportation networks, and public transport logistics. Research Interests: Dr. Dollevoet investigates optimization challenges in transportation, including rolling stock rescheduling, crew planning fairness, electric vehicle integration, and kidney allocation policies. His work combines mathematical modeling with practical applications in rail networks and sustainable transport. Recent Publications: His 15 most recent articles focus on heuristic frameworks for railway optimization, fairness in crew scheduling, electric bus logistics, and robust timetabling. Key themes include real-time rescheduling under infrastructure constraints, ALNS algorithms for electric fleets, and trade-offs between equity and efficiency in workforce management. Students: He has supervised PhD students including Rowan Hoogervorst (rolling stock rescheduling) and Thomas Breugem (fairness in crew planning).

• Applied Cognitive Psychology
• Defence Training Analysis
• Human Factors for Defence
• +14 more

Dr Victoria Smy is a Lecturer in Applied Cognitive Psychology at Cranfield University, affiliated with the Centre for Electronic Warfare, Information and Cyber (EWIC) at the Defence Academy of the United Kingdom. She is also an Honorary Tutor at Cardiff University and a Chartered Member of the British Psychological Society. Her work bridges cognitive psychology with defence and security applications, particularly in training, decision-making, and human factors. Research Interests: Dr Smy's research focuses on training analysis , teamwork development , decision-making in complex environments , and cognitive vulnerabilities in digital contexts . She explores how motivation, trust, and attitudes affect learning and performance. Her recent work investigates manipulative website content and social cognitive hacking, contributing to intelligence and cybersecurity understanding. Publications & Trends: Her recent publications (2024–2016) show a strong trajectory in applied cognitive psychology, particularly in defence training, skill retention, and online influence. The articles span journals in ergonomics, psychology, and human-computer interaction, reflecting interdisciplinary impact. A clear trend is the application of cognitive theory to real-world defence and educational challenges, including disinformation analysis and team performance. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Smy has served as a Principal Investigator on projects funded by DSTL and other defence bodies, including 'Measuring sympathetic views towards extremist terrorist activities' (UIC2, 2022) and 'Horizon scanning — enhancing individual and collective training' (R-Cloud, 2023). She collaborates extensively with researchers like Marie Cahillane and Piers MacLean, indicating a strong advising and mentorship role, particularly in cognitive task analysis and training design. Labs and Teams: She is a key member of the Applied Psychology Group at Cranfield, co-founded with Dr Marie Cahillane and Dr Piers MacLean. This group conducts defence-funded research on skill fade, cognitive hacking, and training innovation.

Markus BohlinView profile

Professor

• Applied Artificial Intelligence
• Railway Systems
• Transportation Engineering
• +5 more

Markus Bohlin serves as Professor (on leave) at Mälardalen University within the School of Innovation, Design and Engineering's Division of Product Realisation. He concurrently holds leadership roles as Dean of the School of Business Society and Engineering, Division Manager for Product Realization, and School Director for the INDTECH Industrial Graduate School. His academic credentials include: Doctoral thesis defended at Mälardalen University (2009) Associate professorship (docent) granted at Mälardalen University (2013) Adjunct professorship in rail traffic systems analysis at KTH Royal Institute of Technology (2014) Full professorship in Computer Science with Applied AI focus at Mälardalen University (2019) Bohlin's research centers on Applied Artificial Intelligence across critical infrastructure domains. His primary focus areas include: Railway systems optimization and freight logistics Cyber-physical systems for construction automation Machine learning applications in manufacturing quality control Simulation-assisted decision support systems His work bridges theoretical AI with industrial implementation in transportation, production, and power systems. Recent publications demonstrate a clear trajectory toward integrating machine learning with simulation modeling for real-world problem solving, particularly in railway punctuality optimization, construction site autonomy, and manufacturing defect detection. This interdisciplinary approach consistently targets high-impact industrial applications. Bohlin has held significant leadership positions including: President of the Swedish Operations Research Association (2012-2016) Member of Trafikverket Board on Capacity in Railways Program chair for ICROMA 2019 and multiple national conferences His academic supervision includes 4 completed PhDs, 9 licentiate degrees, and 5 ongoing doctoral candidates. With 20+ years of experience managing organizations up to 60 employees and 40+ projects (including H2020 initiatives), he brings substantial operational expertise to research commercialization. Current leadership roles encompass the Product Realisation division and INDTECH Industrial Graduate School, driving industry-academia collaboration in innovation and engineering.