جست‌وجوی استاد و پژوهشگر

• Game Theory
• Financial Engineering
• Cybersecurity
• +۳ مورد دیگر

Reinoud A.M.G. Joosten is an Assistant Professor at the Digital Society Institute and holds a position in the Financial Engineering department. His research focuses on game theory, financial modeling, and cybersecurity, contributing to UN Sustainable Development Goals. He has published extensively since 2002, with recent work exploring stochastic processes and cooperative game theory applications. Notable contributions include studies on equilibrium models and data-sharing mechanisms in inter-organizational systems. His academic output reflects a blend of theoretical and applied research in economics and finance. Research interests include stochastic games, evolutionary game theory, and sustainable development. He has supervised two academic works and contributes to collaborative research networks globally. His recent publications analyze topics such as contest theory in advertising, nucleolus solutions for cooperative transportation games, and rational data-sharing frameworks.

Gilbert Laporteمشاهده پروفایل

استاد

• Combinatorial optimization
• Transportation
• Operational research
• +۲ مورد دیگر

Gilbert Laporte is a Professor at the University of Bath, holding roles in the departments of Management Information, Decisions & Operations and Smart Warehousing and Logistics Systems. He specializes in combinatorial optimization, transportation, and operational research. His editorial roles span journals including Computers & Operations Research, Transportation Science, and European Journal of Operational Research. Laporte focuses on advancing methodologies in routing, network design, and logistics, contributing to sustainable development goals. He collaborates globally and is open to supervising doctoral students as part of a team. Editorial Advisory Board: Computers & Operations Research Associate Editor: Journal of the Operational Research Society Member of Editorial Board: EURO Journal on Transportation and Logistics His research interests include transportation logistics, exact algorithms, and combinatorial optimization, with applications in circuit design and vehicle routing. Recent work explores charging constraints for electric trucks and historical contributions to mathematical programming.

Sonya Hillمشاهده پروفایل

مدرس ارشد

• Animal welfare
• Animal behaviour
• Zoo animal welfare
• +۴ مورد دیگر

Sonya Hill serves as Deputy Head of the School of Natural Sciences at the University of Chester, where she also holds the position of Senior Lecturer in Animal Behaviour and Welfare. Her extensive administrative responsibilities include serving as Timetabling Contact, Disability Link Tutor for the School, Chair of Student Voice Meetings for biological sciences programmes, and Co-chair of the Faculty Student Success Subcommittee. Her academic credentials include: PhD in Veterinary Medicine from University of Cambridge (2000-2005) MPhil in Biological Anthropology from Durham University (1997-1999) BA (Hons) in Anthropology from Durham University (1993-1996) Hill's research program centers on scientific assessments of animal welfare, particularly for zoo- and sanctuary-housed wild animals, and behavioral adaptations across various taxa. With substantial focus on non-human primates (especially great apes), her work bridges theoretical understanding with practical applications for improving welfare standards in zoological collections. She teaches across multiple biological sciences degree programmes with emphasis on animal welfare and ethics, conservation, research methods, and behavioral science. Her publication history reveals a significant research trajectory shift from operations research and mathematical optimization (1985-2003) to animal welfare science (2009-present). Recent publications demonstrate methodological sophistication in studying zoo animal behavior, with particular expertise in primate welfare assessment, abnormal behaviors like regurgitation and reingestion, and evaluating visitor effects on animal welfare. This evolution reflects integration of her practical zoo experience with academic rigor. Sonya actively supervises postgraduate research students and contributes significantly to academic administration within the School of Natural Sciences. Her work exemplifies the translation of scientific findings into practical zoo management strategies that enhance animal welfare while supporting conservation objectives.

• Autonomous Driving
• Edge Computing
• Blockchain Technology
• +۷ مورد دیگر

Šlapak Eugen is an Assistant Professor at the Technical University of Košice. His research focuses on autonomous driving systems, edge computing, and network optimization, with a particular emphasis on applying neural networks and blockchain technologies in vehicular and 5G networks. Eugen Šlapak holds a PhD in [specific field not explicitly stated, likely Engineering/Computer Science] and an Ing. (engineer) degree. His academic background combines technical expertise in telecommunications and computer science. His research interests span autonomous driving technologies, including simulation and control systems, as well as edge computing and metaverse integration. He also explores blockchain applications in vehicular networks, resource allocation in 5G and beyond, and the use of graph neural networks for network optimization. His work intersects machine learning, robotics, and telecommunications to address challenges in modern communication systems and intelligent transportation. Recent publications highlight advancements in neural radiance fields for industrial robotics, distributed edge video compression for autonomous driving, and blockchain-based resource allocation in connected vehicles. Earlier work includes optimization of UAV-assisted networks and HetNet topology design using machine learning clustering methods. While no formal awards are listed, his contributions to vehicular networks, edge computing, and AI-driven network design reflect significant scholarly impact. Advising details are not documented here, but his research collaborations likely involve cross-disciplinary teams focusing on autonomous systems and 5G infrastructure. No lab affiliations or teams are explicitly mentioned, though his teaching role in the course Stochastické modelovanie a analýza dát (SMaAD) suggests involvement in data analysis and stochastic modeling initiatives.

Arne Straussمشاهده پروفایل

استاد

• Sustainable Transport
• Air Traffic Emissions
• Transport Innovations
• +۳ مورد دیگر

Prof. Arne Strauss holds the Mercator Endowed Chair of Demand Management & Sustainable Transport at WHU – Otto Beisheim School of Management. His research focuses on reducing air traffic emissions, optimizing transport systems, and developing decision support tools. He teaches the Sustainable Urban Transport course at the BSc level. Key research areas include demand-capacity balancing, cross-border air traffic management, and environmental sustainability in logistics. Recent work addresses challenges in e-fulfillment, dynamic customer contacting, and algorithmic solutions for transshipment and routing. Strauss contributes to journals like Transportation Research Part A and has authored over 30 peer-reviewed articles. His expertise bridges operational research methodologies with real-world applications in aviation and urban transport systems.

Yohannes Bekeleمشاهده پروفایل

استادیار

• Cyber-physical System Security
• Reliable Computing
• Edge Computing
• +۵ مورد دیگر

Dr. Yohannes Bekele is an Assistant Professor of Electrical and Computer Engineering at Hampton University's School of Engineering, Architecture and Aviation. His research focuses on cyber-physical system security, reliable distributed computing, and edge computing. He holds a Ph.D. from North Carolina A&T State University (2023), MSc from Addis Ababa University (2018), and BSc from Arba Minch University (2007). Prior to academia, he worked as a senior engineer/project manager at Ethio Telecom and held technical roles in various organizations. His expertise includes hardware fault analysis, secure embedded systems, and transportation IoT security. He currently teaches courses aligned with his research and leads projects on cyber-physical system reliability. Dr. Bekele is affiliated with professional organizations like NSBE and IEEE. Recent publications highlight work on federated learning-based intrusion detection systems, QEMU fault injection tools, and rowhammer attacks on embedded devices. His research bridges theoretical cybersecurity concepts with practical implementation in edge and embedded systems. Dr. Bekele has no listed scientific awards but demonstrates active participation in conferences such as IEEE HOST and AFRICON. His teaching and research emphasize hands-on projects, reflected in courses taught and industry collaborations.

• Computer Networks
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Hala ElAarag is a Professor of Computer Science at Stetson University, located in Deland, Florida. She holds a PhD from the University of Central Florida (2001) and MS/BS degrees from Alexandria University (1991/1989). Her research focuses on computer networks, machine learning, cybersecurity, and computer science education. She has authored over 70 publications and 11 edited books, including her notable work Web Proxy Cache Replacement Strategies Simulation, Implementation, and Performance Evaluation . ElAarag has served in leadership roles, such as President of the Consortium of Computing Sciences in Colleges (2016-2018) and Vice President (2014-2016). She has also been active in organizing conferences, including co-chairing the Communication and Networking Simulation Symposium and Spring Simulation Multiconference. Her teaching philosophy emphasizes hands-on learning, reflected in her development of 15 computer science courses, including core and specialized subjects like Computer Networks and Algorithms Analysis. Her research trends span algorithm optimization, network security, and autonomous systems, with recent work in AI-driven password cracking and quadrotor modeling. Awards include the IEEE Region 3 Biedenbach Award (2022) and multiple teaching and service recognitions. She has mentored numerous students and contributed to STEM outreach through initiatives like the Tech Trek Coordinator for middle school girls (2021-2023). ElAarag’s contributions extend to editorial roles in journals like Journal of Computing Sciences in Colleges and Simulation: Transactions of SCS . Her work bridges academic research and practical application, emphasizing pedagogical innovation and interdisciplinary collaboration.

• French Language Practice
• Romance Studies
• Computer Vision
• +۳ مورد دیگر

Viridiane Fay is a researcher in the Institute of Modern Languages and Romance Studies at the University of Würzburg , specializing in French language practice and applied computational methods. During lecture periods, she holds office hours every Tuesday from 1 p.m. to 2 p.m., with appointments available during semester breaks. Role: French Editor, Language Practice Location: Am Hubland, 97074 Würzburg Contact: viridiane.fay@uni-wuerzburg.de Her research spans two distinct domains: French language pedagogy and computer vision/AI . While her institutional affiliation focuses on Romance Studies, her publication record reveals expertise in: Medical and underwater image processing Transformer-based architectures Federated learning and network optimization Watermarking and security algorithms Multi-modal AI applications Neuroscience signal analysis Recent work includes lightweight segmentation models (e.g., ContextFormer), drone/aerial imagery detection frameworks (CH-YOLO-Lite), and privacy-preserving AI systems (Find). Despite limited biographical details in the scrape, her 30+ publications since 2017 suggest significant technical contributions.

Juan Zhangمشاهده پروفایل

مدرس

• Mobile Edge Computing
• Intelligent Transportation Systems
• Game Theory
• +۷ مورد دیگر

Dr. Juan Zhang is a Lecturer at the Department of Computer and Information Sciences, Northumbria University, UK. She holds a PhD in Computer Science from the University of Exeter and has held postdoctoral positions at Helmut-Schmidt University, Germany, and visiting roles at Georg-August-University of Göttingen. Her research focuses on mobile edge computing, intelligent transportation systems, decision-making strategies, and autonomous vehicles. She has published extensively in top journals like IEEE Transactions and IEEE Conference Proceedings, with over 225 citations. Dr. Zhang teaches modules including Computer Networks, Cyber Security, and supervises numerous PhD/MSc students in edge computing and vehicular networks. Education: PhD in Computer Science, University of Exeter (UK) M.Sc. in Control Science & Engineering B.Eng in Mechanical Engineering, Beihang University (China) Research Interests: Her work integrates AI with transportation systems, emphasizing eco-driving controllers, vehicular platooning, and multi-agent systems for HD mapping. She explores game-theoretic approaches for edge computing optimizations and reinforcement learning applications in autonomous systems. Teaching: Current modules: KF7023, KV6017, KF7029, etc. Supervised over 20+ student projects on edge computing, federated learning, and vehicular networks. Labs/Teams: Active in Northumbria's Computer Networks Group and collaborates internationally on vehicular edge computing and smart logistics systems.

• Production scheduling
• Supply chain management
• Operational research
• +۳ مورد دیگر

Nouinou Hajar is a Researcher-Lecturer at CESI, affiliated with the Engineering and Numerical Tools research team. She holds a PhD from the University of Technology of Troyes (2021) and degrees in Industrial Engineering and Logistics from the National School of Applied Sciences (ENSA) and University of Lorraine (2018). Her research focuses on production scheduling, supply chain optimization, operational research, and energy-efficient manufacturing systems. She teaches courses on object-oriented programming, algorithms, and production systems modeling for engineering and master's students. Her work integrates Industry 4.0 technologies into manufacturing processes, particularly in textile industries, emphasizing smart scheduling and renewable energy utilization. She advises PhD candidates and supervises internships on topics like energy-flexible production systems and pricing strategies in on-demand manufacturing. Recent publications address semi-online scheduling algorithms, production-transportation coordination, and textile 4.0 frameworks. Her teaching modalities include active pedagogy, lectures, and hands-on sessions (TP/TD) across all engineering program years and master's levels. Research collaborations span renewable energy integration, sustainable supply chains, and decision-making models under Industry 4.0 paradigms.

Hani HAMDANمشاهده پروفایل

استاد

• Machine Learning
• Signal Processing
• Intelligent Communication
• +۵ مورد دیگر

Hani Hamdan is a Professor of Electrical Engineering and Computer Science at CentraleSupélec, part of Université Paris-Saclay. He holds a PhD from Université de Technologie de Compiègne and has held roles including Research Engineer at CETIM, Researcher at CNRS, and Assistant Professor at Sorbonne-Paris-Nord. His research focuses on machine learning, signal processing, robotics, and telecommunications, with contributions to biomedical engineering and sustainable technologies. He leads the COMEDY and MODESTY research groups within the L2S laboratory. Education: PhD in Systems and Information Technologies, Université de Technologie de Compiègne (2005) MSc in Industrial Control, Université Libanaise/UTC (2001) Engineering Diploma in Electricity & Electronics, Université Libanaise (2000) Research Interests: Machine learning for healthcare and environmental applications Signal processing in robotics and communication systems Intelligent communication networks (FSO, IoT security) Data-driven analysis of biomedical systems and civil infrastructure Key Contributions: Innovative clustering algorithms for big data (e.g., bin-EM-CEM) FSO communication system optimizations Robotics rehabilitation systems using ML-enhanced biomechanics Awards: Best Paper Award for Big Data clustering (2018) Outstanding conference organization award (DeSE 2017) CIFRE doctoral scholarship (2002-2005) Lab Affiliations: Laboratoire des signaux et systèmes (L2S), collaborating with CNRS and CentraleSupélec on interdisciplinary projects in signal processing and automated systems.

• Wireless Networks
• Vehicular Networks
• IoT Communication Protocols
• +۶ مورد دیگر

Aisling O'Driscoll is a Senior Lecturer at the School of Computer Science and Information Technology (CSIT), University College Cork (UCC), Ireland since 2017. She previously held roles at Cork Institute of Technology (CIT) from 2005 to 2017, including a PhD in Location Management and Hybrid Geo-Routing (2014). Her research focuses on communication protocols for wireless systems, particularly in vehicular networks, IoT, and bioinformatics. She leads the Connected Autonomous Vehicles (CAV) working group in the SFI CONNECT Centre and chairs UCC's Athena Swan committee. Education: PhD (CIT, 2014), MEng (Research, 2006), BSc (2004) Grants: Over €3M in funding from SFI, EU, and industry, including the SFI Blended Autonomous Vehicle (BAV) Spoke and AWS grants Research interests include decentralized network solutions for autonomous systems, parallelized bioinformatics algorithms, and vehicular communication protocols. Awards include the 2021 National Teaching Hero Award and recognition at Áras an Uachtaráin for women in science. Labs/Teams: Leads CAV initiatives in CONNECT, collaborates with Jaguar Land Rover and Teagasc Outreach: Founded IWish Campus Day to promote STEM for girls, and chairs IT@Cork's Tech Talk Committee

Julie Paquetteمشاهده پروفایل

دانشیار

• Service Operations Management
• Transportation
• E-commerce Logistics
• +۳ مورد دیگر

Julie Paquette is an Associate Professor in the Department of Logistics and Operations Management at HEC Montréal. She holds a Ph.D. in administration, M.Sc. in logistics, and B.A.A. in quantitative methods from HEC Montréal. Her research focuses on Service Operations Management, Transportation, E-commerce Logistics, and Supply Chain Optimization in nonprofit/humanitarian contexts. She actively supervises Master's theses and projects, with 7 completed theses and 22+ supervised projects in the last five years. Dr. Paquette is the Pedagogical Coordinator for the Operations and Supply Chain Management Specialization in HEC Montréal's M.Sc. program and a member of the executive committee at CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation). Her teaching includes courses like OPER 20525 (Logistics) and OPER 20505 (Service Operations Management). Research interests emphasize optimizing supply chains for humanitarian organizations and sustainable urban transport. Recent work addresses e-commerce logistics challenges and humanitarian logistics in East Africa. She has published in journals like INFOR and Omega, and contributed chapters on humanitarian supply chains. Supervision activities span logistics optimization in healthcare, agro-food industries, and e-commerce platforms.

Gilbert Laporteمشاهده پروفایل

استاد

• Logistics
• Mobility
• Combinatorial Optimization
• +۳ مورد دیگر

Gilbert Laporte is a Professor at HEC Montréal since 1976, holding the Canada Research Chair in Distribution Management. He is a globally recognized expert in logistics, mobility, and combinatorial optimization, with over 500 publications and 19 books. His affiliations include GERAD and CIRRELT research centers. Key awards include Fellow of the Royal Society of Canada (1998), Grand Prize for Excellence in Teaching (2001), Grand Prize for Excellence in Research (2012), and the Order of Canada (2019). He earned an honorary PhD from Eindhoven University of Technology in 2016. Research focuses on transportation systems, vehicle routing, and sustainable logistics. Recent work addresses electric truck routing, drone integration, and decarbonization strategies. His contributions span theoretical advancements and real-world applications in humanitarian logistics and urban infrastructure resilience. Laporte collaborates on global challenges, including flood mitigation in Hanoi and dengue fever operational research. His work emphasizes interdisciplinary solutions, combining algorithmic rigor with societal impact.

Olga Battaiaمشاهده پروفایل

استاد

• Supply Chain Management
• Sustainable Manufacturing
• Operations Research
• +۷ مورد دیگر

Prof. Olga Battaia is a Full Professor in the Department of Operations Management and Information Systems at Kedge Business School, serving as Associate Dean for Research. She holds a PhD from École des Mines de Saint-Étienne (2007), recognized with the Best PhD Thesis Award. Her expertise spans Supply Chain Management, Sustainable Manufacturing, Operations Research, and Combinatorial Optimization. She has co-authored over 200 publications and supervised 11 PhD students. Current research focuses on reconfigurable manufacturing systems, human-robot collaboration, and sustainability in supply chains. Editorial Roles: Associate Editor for Journal of Manufacturing Systems, IISE Transactions, Omega. Memberships: CIRP (International Academy for Production Engineering), IFAC Technical Committee 5.2. Research highlights include optimizing vaccine allocation (2025), human-robot ergonomics (2024), and closed-loop supply chain equity (2023). Awards include the 2007 Best Thesis Award. Advising: Co-supervised 11 PhD students. Active in European projects and international conference organization.