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Abdolreza RoshaniView profile

Assistant Professor

• Operations Research
• Business Analytics
• Supply Chain Management
• +3 more

Dr Abdolreza Roshani is a Lecturer (Assistant Professor) in Business Analytics at Surrey Business School , University of Surrey. He also serves as the Undergraduate Program Director for the BSc in Business Management with Business Analytics. He is affiliated with the Centre for Business Analytics in Practice and is a Fellow of the Higher Education Academy (FHEA) and the Sustainability Institute . Education: BSc, MSc, PGc, FHEA, PhD Research Interests: Dr Roshani's research spans Operations Research , Business Analytics , Supply Chain Management , and Optimization . He has a strong focus on resilient supply chain design , additive manufacturing , and energy-efficient production systems . Publications and Research Trends: His recent publications demonstrate a clear trajectory toward integrating advanced analytics with real-world manufacturing and logistics challenges . His work includes developing risk assessment frameworks for additive manufacturing, resilient network design for supply chains, and optimization models for electric vehicle scheduling and assembly line balancing. Scientific Awards and Honors: Fellow of the Higher Education Academy (FHEA) Fellow of the Sustainability Institute Grants and Projects: Dr Roshani was a key contributor to the RAMONA Project , a £1+ million EPSRC-funded collaboration between the University of Warwick, University of Reading, and University of Surrey. The project focused on enhancing resilience in additive manufacturing through disruption detection, analysis, and responsive reconfiguration strategies. Doctoral Supervision and Teaching: He is currently accepting applications from prospective PhD students in Business Analytics and resilient supply chain design . He teaches modules such as Data Mining and Text Analytics at both undergraduate and postgraduate levels. Affiliations and Collaborations: Beyond Surrey, he has conducted advanced research at Genova University and served as a visiting scholar at Kettering University (Michigan) . He also actively collaborates with international researchers and serves as a reviewer and guest editor for leading journals.

Ali ShirzadehView profile

Lecturer

• Project Scheduling and Management
• Supply Chain Management
• Marketing Strategy
• +4 more

Ali Shirzadeh is a Lecturer at the Isenberg School of Management, University of Massachusetts Amherst, specializing in Operations & Information Management. He holds a PhD in Industrial Engineering from Sharif University of Technology (2014), along with MSc and BSc degrees from the same institution. His academic roles include Adjunct Lecturer positions at Northeastern University, Babson College, and Visiting Scholarships at the University of Rhode Island and University of Massachusetts Boston. **Education**: PhD Industrial Engineering, Sharif University of Technology, 2014 MSc Industrial Engineering, Sharif University of Technology, 2008 BSc Industrial Engineering, Sharif University of Technology, 2002 **Research Interests**: Focus on Project Scheduling, Supply Chain Management, Marketing Strategy, and Product Pricing/Return Strategies. His work integrates mathematical modeling, optimization, and operations research to address complex decision-making challenges in business environments. **Awards**: Notable accolades include the Outstanding Ph.D. Graduate Award (2014) and Best Paper Award at the 9th International Industrial Engineering Conference (2013). He has also served as a Session Chair and Keynote Speaker at the 838th ICSTEM conference (2021). **Professional Experience**: Over 15 years of industry experience in management consulting, business analysis, and software design. Roles include Management Consultant at Polymershapes (2019) and Head of Project Management Office at Modiran 21 (2015-2019). Technical certifications include SAP S/4 HANA and SAP Analytics Cloud. **Grants and Labs**: While specific grants or lab affiliations are not detailed, his research collaborations span academic institutions and industry partners, reflecting a strong emphasis on applied operations research and business analytics.

• Operations Research
• Optimization Algorithms
• Combinatorial Optimization
• +4 more

Adam Letchford is a Professor in the Department of Management Science at Lancaster University, specializing in Operations Research and Optimization. His research focuses on combinatorial optimization, integer programming, and algorithm design, with particular contributions to vehicle routing, network design, and polyhedral theory. He has authored numerous peer-reviewed articles, including works on clique partitioning polytopes, knapsack problems, and matheuristics. Letchford is actively involved in academic conferences and editorial roles, contributing to the advancement of operational research methodologies and applications in logistics and decision sciences. His work bridges theoretical foundations with practical implementations, addressing challenges in both academic and real-world contexts.

Guoming ZhuView profile

Professor

• Automotive Control Systems
• Combustion Modeling
• Hybrid Powertrain Optimization
• +3 more

Guoming Zhu is the Gardner Endowed Chair in Automotive Engineering at the Department of Mechanical Engineering, College of Engineering, Michigan State University. He holds dual appointments in Mechanical Engineering and Electrical and Computer Engineering. Ph.D., Aerospace Engineering, Purdue University (1992) M.S., Electrical Engineering, Beijing University of Aeronautics and Astronautics (1984) B.S., Mechanical Engineering, Beijing University of Aeronautics and Astronautics (1982) His research focuses on model-based control of automotive and aerospace systems , including closed-loop combustion control, LPV control with hard constraints, hybrid powertrain optimization, and ionization-based combustion diagnostics. He leads the Automotive Control Lab at MSU, where he develops control-oriented engine models and validates them via hardware-in-the-loop simulations and engine dynamometer tests. Recent publications emphasize advanced LPV control schemes for diesel engine air charge systems, transient vehicle trajectory tracking, and surrogate-assisted optimization in engine calibration. His work is funded by DOE, EPA, NSF, NASA, and automotive industry leaders (Ford, FCA, GM). SAE and ASME Fellow Outstanding Service Award, NAACEE (2006-2016) Best Paper Awards (ASME 2012, SAE 2012) He mentors an international group of Ph.D., M.S., and visiting researchers, with graduated students contributing to combustion modeling, hybrid control, and LPV applications. His lab supports collaborative research with institutions in China, Canada, and Europe.

• Quantum Optics
• Quantum Information
• Quantum Machine Learning
• +3 more

Anton Frisk Kockum is an Associate Professor in Applied Quantum Physics at Chalmers University of Technology. He holds a PhD in Physics from Chalmers (2014) and completed postdoctoral research at RIKEN in Japan (2014–2018), supported by a JSPS Fellowship. He joined the Wallenberg Centre for Quantum Technology in 2018, focusing on theoretical contributions to quantum computing and quantum program design. His research spans quantum optics, quantum information, and quantum machine learning, with emphasis on ultrastrong light-matter coupling, quantum acoustics, and circuit quantum electrodynamics. He explores quantum technologies for building scalable quantum computers and optimizing their applications. Recent work includes entanglement generation in hybrid systems, decoherence mitigation, and quantum process tomography advancements. His publications (67 total) address topics like giant atom dynamics, quantum amplification, and quantum algorithm optimization for real-world problems. He leads projects funded by EU, SSF, and VR, including studies on non-Hermitian topological phases and structured quantum environments.

• Game Theory
• Financial Engineering
• Cybersecurity
• +3 more

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 LaporteView profile

Professor

• Combinatorial optimization
• Transportation
• Operational research
• +2 more

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 HillView profile

Senior Lecturer

• Animal welfare
• Animal behaviour
• Zoo animal welfare
• +4 more

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
• +7 more

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 StraussView profile

Professor

• Sustainable Transport
• Air Traffic Emissions
• Transport Innovations
• +3 more

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 BekeleView profile

Assistant Professor

• Cyber-physical System Security
• Reliable Computing
• Edge Computing
• +5 more

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
• +5 more

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
• +3 more

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 ZhangView profile

Lecturer

• Mobile Edge Computing
• Intelligent Transportation Systems
• Game Theory
• +7 more

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
• +3 more

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.