جست‌وجوی استاد و پژوهشگر

Yuvin Adnarain Chinniahمشاهده پروفایل

استاد

• Occupational Health and Safety
• Industrial Safety
• Machine Safety
• +۵ مورد دیگر

Dr. Yuvin Adnarain Chinniah serves as a Full Professor and Department Director in the Department of Mathematical and Industrial Engineering at Polytechnique Montreal. His expertise spans occupational health and safety, industrial safety engineering, and machinery risk assessment. He actively contributes to the Research Group on Globalisation and Management of Technology (GMT) and Laboratoire Poly-Industries 4.0. Dr. Chinniah's research focuses on occupational health and safety with particular emphasis on machinery safety, risk assessment methodologies, human-robot collaboration, and safety standards implementation. His work bridges theoretical frameworks with practical applications in industrial settings, addressing critical issues like confined space safety, lockout/tagout procedures, and safety in Industry 4.0 environments. His research integrates ISO and CSA standards into practical safety solutions for industrial machinery. His recent publications demonstrate a clear trajectory from traditional machine safety toward advanced applications involving robotics, digital transformation, and human-robot collaboration. The research consistently addresses safety optimization in manufacturing processes, with increasing focus on cyber-physical systems, AI integration for hazard detection, and safety-driven production planning. His work maintains strong connections to industrial standards while pushing boundaries in collaborative robotics safety. Dr. Chinniah has successfully supervised 9 Ph.D. students and 10 Master's students, with thesis topics covering confined space safety, lockout/tagout procedures, human-robot collaboration safety, and machinery risk assessment. His teaching portfolio includes key courses in safety engineering, ergonomics, and maintenance engineering. He leads significant research projects related to occupational safety in industrial settings, with particular focus on machinery safety standards implementation and risk assessment methodologies.

David Jamesمشاهده پروفایل

استاد

• Bioprocess Engineering
• Biopharmaceutical Production
• Recombinant Protein Production
• +۵ مورد دیگر

Professor David James is a distinguished academic at the University of Sheffield's School of Chemical, Materials and Biological Engineering, where he holds the position of Professor of Bioprocess Engineering and serves as Research Centre Director of the Advanced Biomanufacturing Centre. With a career spanning over three decades, Professor James has established himself as a leading expert in bioprocess engineering and biopharmaceutical production. His research interests focus on the production of high-value therapeutic recombinant protein biopharmaceuticals, systems biotechnology for rational bioprocess engineering, cell factory and gene vector engineering, and process analytical technology. Professor James has pioneered numerous innovations in CHO cell engineering, synthetic promoter design, and recombinant protein production systems. Analysis of his recent publications reveals a strong trajectory toward precision control of bioproduction processes, with emphasis on synthetic biology approaches for mammalian cell engineering. His work spans from fundamental cell biology to applied bioprocess development, with significant contributions to viral vector production, protein analytics, and pandemic-related research during the recent global health crisis. His notable scientific achievement includes the Royal Society Wolfson Research Merit Award received upon his appointment to Sheffield in 2006 for 'Research and Training in Biopharmaceutical Bioprocessing for UK Bioindustry'. Professor James actively contributes to academic training through courses such as CPE412 – Molecular Biotechnology, mentoring the next generation of bioprocess engineers while maintaining a robust research program with numerous industry collaborations.

• Operations Research
• Optimization under Uncertainties
• Scheduling Algorithms
• +۴ مورد دیگر

Faicel HNAIEN is a Full Professor at the Université de Technologie de Troyes (UTT), where he leads the Computer Science and Applied Mathematics Academic Department since December 2024. He also heads the Optimization Axis (LIST3N laboratory) with 30 members and oversees the International Master's Track in Logistics and Transport in Togo since 2023. His research focuses on optimization under uncertainties, scheduling algorithms, inventory control, wireless sensor networks, and quantum optimization. His work bridges theoretical advances with practical applications in manufacturing systems, energy management, and logistics. Responsibilities include academic leadership roles, strategic planning for research initiatives, and international program coordination. His recent projects address challenges like energy cost optimization in production scheduling, robust supply chain management under uncertainty, and deployment strategies for sensor networks in hazardous environments. He actively contributes to interdisciplinary research, integrating stochastic modeling, combinatorial optimization, and quantum computing approaches. His publications span high-impact journals such as Annals of Operations Research and European Journal of Industrial Engineering. Research trends emphasize hybrid methods (exact/ heuristic), stochastic programming for inventory systems, and multi-objective optimization in dynamic environments. Current efforts explore quantum formulations for scheduling problems and AI-driven solutions for supply chain resilience.

• Human-Robot Interaction (HRI)
• Cognitive Ergonomics
• Eye-Tracking Technology
• +۳ مورد دیگر

Dr. Erik Billing is a researcher at the University of Skövde , actively contributing to the School of Informatics and affiliated with the Interaction Lab (ILAB) . His work focuses on human-robot interaction (HRI), cognitive ergonomics, and extended reality (XR) applications in industrial and educational contexts. Research Pillars : Human-Robot Interaction, Cognitive Ergonomics, Eye-Tracking, Virtual/Augmented Reality, Digital Human Modeling Key Projects : RO-LIV (social robots for elderly), EWASS (industrial HRI), OKAVIM (XR competency) Funding : Supported by AFA Insurance and Vinnova grants His recent work includes investigating body language in social robots, expectation formation in HRI, and gaze-based worker behavior prediction. Dr. Billing serves as editor for SweCog conference proceedings and contributes to VR/XR motor learning research.

Yue Wuمشاهده پروفایل

دانشیار

• Applied microeconomic theory
• Emerging markets
• Regulation and public policy
• +۴ مورد دیگر

Yue Wu is an Associate Professor of Business Administration and Ben L. Fryrear Early Career Faculty Fellow at the Katz Graduate School of Business, University of Pittsburgh . His research integrates applied microeconomic theory with pressing issues in digital marketing, public policy, and emerging markets. PhD in Marketing (INSEAD, 2016) MSc in Operations Management (Singapore Management University, 2011) BEng in Computer Science (Tsinghua University, 2009) His work explores regulation of online platforms , AI economics , and digital content governance , published in top-tier journals like Marketing Science and Management Science . Yue won the 2023 Best Marketing Paper Award in Management Science . Active editorial board member of Marketing Science (2025—) Contributed to Harvard Business Review and INSEAD Knowledge He resides in Pittsburgh with his family, having lived across Asia and Europe, and maintains strong ties to China, Singapore, and France.

• Production Engineering
• Manufacturing Systems Optimization
• Industry 4.0/5.0 Technologies
• +۵ مورد دیگر

Masood Fathi is an Associate Professor of Production Engineering at the University of Skövde, Sweden. He holds a position within the School of Engineering Science and Department of Engineering. As an academic, he focuses on advanced manufacturing systems, Industry 4.0/5.0 technologies, and optimization methodologies. His research integrates AI applications, sustainability, and human-robot collaboration in production environments. Education: Formal academic qualifications (specific details not explicitly provided in text). Research Interests: Professor Fathi's work centers on optimizing production systems through advanced algorithms and technologies. Key areas include assembly line balancing, energy-efficient manufacturing, supply chain optimization, and the application of generative AI in industrial processes. He also explores resilience in production systems and sustainable practices such as healthcare waste management and remanufacturing. Recent Trends in Publications: Recent work emphasizes Industry 5.0 sustainability goals, human-robot collaboration, and AI-driven quality inspection. Articles highlight multi-objective optimization challenges, resilient worker performance under disturbances, and the integration of simulation-based decision support systems. Grants & Projects: Lead researcher on projects like 'Enhancing Hospital Services Under Resource Constraints' (2025) and 'Virtual Engineering Agile Manufacturing in Industry 4.0' (2021–2025). Focus areas include smart manufacturing, digital twins, and resilient production systems. Labs/Teams: Collaborates with interdisciplinary teams on projects involving augmented reality for quality inspection, blockchain in supply chains, and lean-green manufacturing integration.

Amir PIRAYESHمشاهده پروفایل

دانشیار

• Supply Chain Management
• Process Modeling
• Simulation
• +۱۲ مورد دیگر

Dr. Amir Pirayesh is an Associate Professor in Operations, Supply Chain and Information Management at KEDGE Business School, France. His research focuses on supply chain optimization, process modeling, and sustainability in manufacturing and logistics systems. He holds a PhD in Industrial and Mechanical Engineering from École nationale supérieure des arts et métiers (ENSAM) and previously worked at ENSAM as an ATER (Associate Professor of Teaching and Research). He has contributed extensively to European research projects under the Factories of Future and Horizon 2020 programs. PhD in Industrial and Mechanical Engineering (ENSAM, 2014) Current affiliation: KEDGE Business School Prior affiliation: InterOP-VLab His research spans four key domains: supply chain optimization (vaccine distribution, waste recycling), smart manufacturing (collaborative robots, assembly line balancing), enterprise modeling (interoperability, conceptual frameworks), and sustainability analytics (circular economy, environmental/social integration). Recent work applies reinforcement learning to scheduling and semantic frameworks for IoT interoperability. Article trends show a strong focus on pandemic response logistics (2021-2025), followed by collaborative robotics (2024), smart grid energy management (2022-2023), and circular economy applications (2023-2025). Co-authors include M. Mohammadi, M. Karimi Mamaghan, and O. Battaia, indicating collaborations across French, Iranian, and Portuguese institutions. As a former InterOP-VLab researcher and ENSAM ATER, Dr. Pirayesh has extensive experience in model-driven enterprise management, with applications in healthcare logistics, sustainable manufacturing, and digital dentistry. He teaches courses on supply chain modeling, simulation, and information systems optimization.

A. Sepehriمشاهده پروفایل

پژوهشگر

• Supply Chain Management
• Transportation
• Dredging
• +۷ مورد دیگر

A. Sepehri is a researcher affiliated with the Faculty of Civil Engineering and Geosciences at Delft University of Technology, specifically within the Rivers, Ports, Waterways and Dredging Engineering department. Additionally, Sepehri holds an external research position at Van Oord's BU Dredging division from January 2022 to January 2026. Education: Master's degree in Industrial Engineering - Logistics and Supply Chain Management, Iran University of Science and Technology (2017-2020) Bachelor's degree in Industrial Engineering, Iran University of Science and Technology (2013-2017) Research spans Supply Chain Management, Transportation, Dredging, and sustainability-focused domains including Emissions and Carbon reduction. Work integrates Hydraulic and Ocean Engineering principles with applications in Marketing and Product Development, directly contributing to UN Sustainable Development Goals through environmental and economic sustainability research. 2024 publications reveal dominant themes in sustainable supply chain frameworks (supplier selection, network design) and port/dredging operations, with emerging work on robotics in manufacturing. Case studies frequently target pharmaceutical and port industries, emphasizing lean, agile, resilience, and green criteria. Active collaboration exists between Delft University's Rivers, Ports, Waterways and Dredging Engineering department and Van Oord, demonstrating strong industry-academia integration in hydraulic engineering research and practical dredging applications.

• Geometry
• Graph Theory
• Combinatorics
• +۲ مورد دیگر

Simona Bonvicini is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia, Italy. Her research focuses on geometry, combinatorics, graph theory, and algebraic structures, with a particular emphasis on cycle decompositions, edge-colorings, and symmetric graph designs. She teaches Geometry for Mathematics students and Mathematics and Computer Science for Geological Sciences students, emphasizing affine/Euclidean geometry, linear algebra, and algorithmic problem-solving. Her work spans topics like Hamilton-Waterloo problems , Kirman Triple Systems , and 1-factorizations , often involving collaborations with researchers such as Marco Buratti and Gloria Rinaldi. She has explored automorphism groups, critical graphs, and applications to DNA self-assembly, though no specific scientific awards are mentioned in the provided data. Her recent publications address even cycle decompositions, palette indices, and structural graph properties. Teaching methods include in-person lectures, digital platforms like Moodle, and problem-solving exercises. She is available for student reception by appointment.

Olga BATTAIAمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Production Systems Optimization
• +۷ مورد دیگر

Olga Battaïa is Senior Professor in the Department of Operations Management and Information Systems at KEDGE Business School, where she also serves as Associate Dean for Research. Her academic journey includes a PhD in Industrial Engineering from École nationale supérieure des mines de Saint-Étienne (2007) and accreditation to supervise research (HDR, 2014). Education PhD in Industrial Engineering, École nationale supérieure des mines de Saint-Étienne, 2007 HDR (Accreditation to Supervise Research), 2014 Research Focus Professor Battaïa’s research lies at the intersection of operations management , supply-chain optimization , and decision-science methods . She develops mathematical models and algorithms that improve the design and performance of production systems, reconfigurable manufacturing lines, closed-loop supply chains, and collaborative human-robot systems. Her work embraces sustainability challenges, ergonomic considerations, and uncertainty management. Recent investigations include: Dynamic vaccine-allocation models responding to pandemic realities Ergonomic integration in human-robot collaborative workstations Electric-bus charging-network design for sustainable urban mobility Robust resource-leveling techniques under project uncertainty Publication Impact Across 200+ refereed publications, her 2023–2025 output alone spans International Journal of Production Economics , IJPR , Computers & Industrial Engineering , Transportation Research Part E , and flagship conferences such as CIRP ANNALS. Thematic trends reveal deepening emphasis on (i) sustainable and resilient supply-chain design, (ii) advanced exact and heuristic optimization for reconfigurable manufacturing, and (iii) human-centric production systems. Editorial & Professional Service Associate Editor, Journal of Manufacturing Systems (Elsevier) Associate Editor, IISE Transactions Associate Editor, Omega—The International Journal of Management Science Associate Member, International Academy for Production Engineering (CIRP) Member, IFAC Technical Committee on “Manufacturing Modelling for Management and Control” Doctoral Advising & Research Leadership Professor Battaïa has co-supervised 11 PhD thestrong>ses to completion and delivered more than 15 invited lectures worldwide. She coordinates multi-partner research projects with industry and academic institutions, securing sustained funding for large-scale optimization and sustainability initiatives. Laboratories & Teams She leads research activities within KEDGE’s Operations, Supply Chain and Information Management group, collaborating closely with the Reconfigurable Manufacturing Systems and Sustainable Supply Chain Design research teams.

Francisco Saldanha da Gamaمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Facility Location Optimization
• +۳ مورد دیگر

Professor Francisco Saldanha da Gama is a Chair in Supply Chain Management at the University of Sheffield Management School. His expertise spans facility location, supply chain optimization, and stochastic programming, with over 150 conference presentations and editorial leadership as Editor-in-Chief of Computers & Operations Research . He has co-edited the seminal Springer volumes Location Science and contributed to humanitarian logistics, robust optimization, and multi-period network design. PhD in Statistics and Operations Research from University of Lisbon Research interests focus on integrating strategic supply chain decisions with operational constraints under uncertainty. Key areas include: Facility location under stochastic and risk-averse frameworks Dynamic lot-sizing and assembly line rebalancing Hub location-routing with congestion modeling Humanitarian logistics for sheltering and evacuation Recent publications (2023-2025) address multi-stage stochastic districting, risk-averse transportation planning, and battery swapping station optimization. Collaborators include Stefan Nickel and Gilbert Laporte. Editor-in-Chief, Computers & Operations Research (2020-present) Editorial Advisory Board, Journal of Operational Research Society (UK) Consulting Editor, Social Sciences & Humanities Open Supervises PhD researchers like Jue Huang (Electric vehicle supply chain sustainability). Professional affiliations include INFORMS, Operational Research Society (UK), and leadership roles in EURO working groups on stochastic optimization and location analysis.

Evren Sahinمشاهده پروفایل

پژوهشگر

• Operations Management
• Supply Chain Optimization
• Healthcare Logistics
• +۴ مورد دیگر

Evren Sahin is a researcher specializing in Operations Management with a focus on Supply Chain Optimization , Healthcare Logistics , and Inventory Management . He is affiliated with the Industrial Engineering Laboratory, where his work integrates optimization , discrete event simulation , and production systems . His research explores the intersection of emergency vehicle logistics , home healthcare operations , and agri-food supply chains . Recent publications highlight applications of machine learning in demand forecasting and digital twin technology for supply chain agility. Collaborations with Zied Jemai, Yves Dallery, and Andrea Matta span theoretical and applied projects. Key methodologies include integer programming , inventory control models , and human-robot kitting systems . His work addresses closed-loop supply chains , perishable product management , and emergency medical service improvements through simulation and optimization.

James M Wilsonمشاهده پروفایل

مدرس ارشد

• Operations Management
• Supply Chain Management
• Production Management
• +۳ مورد دیگر

Dr. James M. Wilson is an Honorary Senior Research Fellow and Senior Lecturer in Management at the Adam Smith Business School, University of Glasgow. With a PhD in Operations Management from the University of Houston, he combines engineering and management expertise to explore historical and contemporary production systems. PhD in Operations Management (University of Houston) MBA in Finance MA in Economics BSc in Politics and Electrical Technology His research focuses on: Historical evolution of operations and supply chain management Project management systems Inventory control and production planning Analysis of industrial innovation from medieval to modern times Recent publications examine historical manufacturing systems like the Venetian Arsenale and Portsmouth Block Mill, while maintaining contemporary relevance through operations analytics and supply chain optimization research. Trends show integration of historical analysis with modern management theory. Scientific awards include: Best Reviewer Prize, Academy of Management (2011) John F. Mee Prize for Best Contribution to Management History (2011) Best Paper Prize, Academy of Management (2015) Best Developmental Paper Prize, British Academy of Management (2016) He serves as Associate Editor for the Journal of Management History and Management Decision, and has held leadership roles as Chair of the Management History Division at the Academy of Management.

Abdolreza Roshaniمشاهده پروفایل

استادیار

• Operations Research
• Business Analytics
• Supply Chain Management
• +۳ مورد دیگر

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.

Pang Jamesمشاهده پروفایل

دانشیار

• Big Data Analytics
• Supply Chain Management
• Healthcare Analytics
• +۳ مورد دیگر

Pang James is an Associate Professor (Practice Track) at the National University of Singapore (NUS), serving as Co-Director of the NUS Business Analytics Centre. His roles include leading the Healthcare Analytics vertical in NUS's MSBA program, collaborating with institutions like SingHealth and Microsoft, and advising IBM's Public Sector division. He holds a PhD from NUS-MIT Alliance and has extensive industry experience at IBM, Motorola, and Micron Technology. Education: PhD in Manufacturing Systems & Technology (NUS-MIT, 2006), M.Eng (Zhejiang University, 2002), B.Eng (Zhejiang University, 1999). Professional certifications include Open Group Master Certified Architect and IBM Certified Architect. Research focuses on supply chain analytics, healthcare optimization, and big data systems. He has led over 20 major industry projects including Singapore's National Electronic Health Record system and DHL's global logistics cloud. Awards include IBM's Outstanding Technical Achievement Award (2011) and multiple invention awards. Teaching includes graduate courses on Healthcare Analytics and Business Intelligence at NUS. He actively participates in industry advisory boards and has authored 16+ publications covering topics like cognitive computing, cloud architectures, and AR applications in manufacturing.