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Li-Lian GaoView profile

Associate Professor

• Operations Management
• Supply Chain Management
• Distribution Systems Design
• +7 more

Li-Lian Gao is an Associate Professor in the Department of Management and Entrepreneurship at the Business School of Hofstra University. He holds a Ph.D. and MBA from Indiana University Bloomington and a B.S. from Shanghai Institute of Mechanical Engineering. His academic career includes prior teaching roles at Indiana University and Shanghai Institute of Mechanical Engineering. B.S., Shanghai Institute of Mechanical Engineering M.B.A., Indiana University Bloomington Ph.D., Indiana University Bloomington Dr. Gao's research centers on operations and supply chain management, with emphasis on distribution systems design , facility location , distributed data networks , multi-echelon inventory systems , and fixed charge network programming . His work applies quantitative and optimization techniques to solve complex logistical and operational problems in both industrial and service sectors. His publications appear in leading journals such as Management Science , Naval Research Logistics , Decision Sciences , and European Journal of Operational Research , reflecting a consistent focus on applied operations research and decision modeling. The articles demonstrate strong methodological rigor and practical relevance in logistics, network design, and inventory optimization. Dr. Gao is a member of several professional organizations including the Decision Sciences Institute , Institute for Operations Research and the Management Sciences (INFORMS) , and the Production and Operations Management Society (POMS) . He has advised various undergraduate courses including Introduction to Operations & Supply Chain Management (MGT 110) , Management Systems (MGT 114) , Business Process Management (MGT 143) , and Business Internship (MGT 174) . While no specific grants or student advisees are mentioned, his research output and professional affiliations indicate active engagement in scholarly activities. There is no mention of lab affiliations or research teams, but his publication record suggests independent and possibly collaborative research in operations management and logistics.

Chao MengView profile

Assistant Professor

• Logistics System Design and Analysis
• Production System Simulation Modeling
• Supply Chain Coordination
• +4 more

Dr. Chao Meng is an Assistant Professor at the School of Marketing, University of Southern Mississippi, since 2019. He holds a Ph.D. in Systems and Industrial Engineering (2015), M.S. (2013), and B.S. (2008) in Logistics Engineering from the University of Arizona and South West Jiaotong University, respectively. Research focuses on logistics system design, production simulation, and supply chain coordination Expertise in multi-paradigm simulation and supply chain management Experience in coal mining, agriculture, manufacturing, and transportation industries Active in professional service roles including session chair for INFORMS and IISE conferences Recent publications analyze mobile game supply chains, secondary market competition, plant factory technology, VMI-consignment contracts, and energy-efficient manufacturing. His work integrates systems engineering principles with supply chain optimization across diverse sectors. Professional Affiliations: Institute for Operations Research and the Management Sciences (INFORMS) Society for Marketing Advances Languages: Mandarin (Native/Bilingual), English (Full Professional)

• Organ Allocation
• Healthcare Operations Research
• Mathematical Modeling
• +3 more

Hans de Ferrante is a University Researcher at the Faculty of Mathematics and Computer Science, Eindhoven University of Technology, specializing in Combinatorial Optimization. His work focuses on applying operations research and mathematical modeling to organ transplantation policy within the Eurotransplant system, which coordinates organ allocation across multiple European countries. His primary research interests include healthcare operations research, organ allocation systems, mathematical modeling of transplant outcomes, combinatorial optimization for policy evaluation, medical statistics, and health equity. He has conducted significant research on liver allocation (addressing sex disparities and model revisions for end-stage liver disease) and kidney allocation (focusing on barriers for immunized patients). Analysis of his recent publications (2023-2025) shows a consistent methodological approach using discrete event simulation, statistical correction for selection bias, and optimization algorithms to evaluate organ allocation policies. This interdisciplinary work bridges computer science, mathematics, and transplant medicine to produce actionable insights for improving equity and efficiency in organ distribution systems. Dr. de Ferrante is an active member of the Combinatorial Optimization research group at Eindhoven University of Technology, where he develops computational frameworks for healthcare policy analysis. He also contributes to academic community through conference organization (including FRICO 2023) and teaching Mathematics courses.

Bart M.L. SmeuldersView profile

Assistant Professor

• Combinatorial Optimization
• Approximation Algorithms
• Operations Research
• +5 more

Bart M.L. Smeulders is an Assistant Professor at Eindhoven University of Technology within the Mathematics and Computer Science school, specializing in Combinatorial Optimization . His research spans: Healthcare policy modeling for organ allocation systems Algorithmic game theory in transplantation markets Robust optimization techniques for medical logistics Key research outputs include: 2025: Policy evaluation simulator for Eurotransplant 2024: Kidney exchange complexity and optimization approaches 2025: Gender disparity analysis in liver allocation His work intersects computer science, operations research, and medical decision-making, contributing to UN Sustainable Development Goal 3 (Good Health and Well-being).

Gautham Ramana MoorthyView profile

Researcher

• Digital Twin Technology
• Prefabricated Construction
• Logistics Optimization
• +11 more

Gautham Ramana Moorthy is a Doctoral Candidate at Eindhoven University of Technology (TU/e), affiliated with the OPaC group within the Department of Industrial Engineering and Innovation Sciences. His research focuses on integrating digital twin technology into prefabricated construction logistics to enhance sustainability and efficiency. Education: Master's in Industrial Engineering with Agile Management from École Centrale de Nantes; Bachelor's in Mechanical Engineering from SRM Institute of Science and Technology Research interests include: Optimization of logistics and supply chains in modular construction Digital twin applications for real-time data and predictive modeling Sustainable and data-driven construction management solutions Lean manufacturing principles for waste reduction Non-destructive quality control in cable production His current work contributes to the UN Sustainable Development Goals (SDGs), particularly in advancing sustainable industrial practices. He participates in projects like "Modular Prefabricated Construction IENW/BSK-2023/261229," collaborating with cross-disciplinary teams to develop circular asset management frameworks. His expertise spans process planning, asset management, and resource consumption optimization in industrial systems. He has contributed to research outputs such as a peer-reviewed conference paper analyzing digital twin-driven asset management in modular construction, reflecting his focus on bridging technology and operational efficiency.

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +3 more

Yanbo Zhang is a researcher affiliated with Nanyang Technological University , holding a PhD in Wireless Communication and Sensing (2022). His work spans machine learning , biomedical engineering , and signal processing with applications in healthcare, communication systems, and computer vision. Education: PhD from Nanyang Technological University, Singapore (2022) Research areas include: Machine learning for medical diagnosis (predicting infections, cardiovascular events, and cancer) Advanced analog-digital converter designs for precision electronics Diffusion models and evolutionary algorithms in AI Federated learning for imbalanced data and cybersecurity Recent publications focus on multi-label learning for disease prediction, secure communication architectures , and deep learning applications in medical imaging. Collaborations include institutions in Singapore, China, and international teams.

Carla Soares GeraldesView profile

Assistant Professor

• Supply Chain Management
• Logistics
• Industrial Management
• +3 more

Carla Soares Geraldes is an Assistant Professor in the Industrial Management Department at the School of Technology and Management, Polytechnic Institute of Bragança, Portugal. She specializes in Supply Chain Management, Logistics, and Operational Research, with a focus on Industry 4.0 and Mathematical Modelling. Her work spans academic research and practical applications in production optimization and decision-making systems. She actively contributes to R&D projects and has co-authored over 24 publications. Education: PhD in Industrial and Systems Engineering (University of Minho), MSc in Industrial Engineering (Logistics specialization), and Mechanical Engineering (Production Management) from the University of Porto. Research affiliations include the SLoTS research group at University of Minho’s CENTRO ALGORITMI and CeDRI at Polytechnic Institute of Bragança. She supervises student projects in supply chain and operations management. Publications focus on inventory optimization, production simulation, and lean-agile methodologies in manufacturing. Recent work includes bakery process improvements and training program design for technical upskilling.

Klaus AltendorferView profile

Professor

• Production System Engineering
• Production Planning
• Material Requirements Planning
• +3 more

Klaus Altendorfer is a Professor at FH Steyr - University of Applied Sciences, affiliated with the School of Production and Operations Management. He leads the Research Center Steyr's work on smart production systems, focusing on topics like material requirements planning, production scheduling, and simulation-based optimization. His research contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG9). Key areas of expertise include production system engineering, lead time optimization, service level management, and robust production planning. His work emphasizes simulation modeling for evaluating planning parameters under uncertainty, with recent projects addressing energy cost balancing and stochastic demand scenarios. Altendorfer has received the FH OÖ Forscher*innen Preis 2020 award and actively participates in academic activities, including organizing conferences like the ASIM Dedicated Conference on Simulation in Production and Logistics. He has supervised 9 research projects and holds an h-index of 49 with 14 citations. His current grants include leadership roles in projects such as 'SimGenOpt2 - Integrated Methods for Robust Production Planning and Control' (2017-2021) and 'Optimal Workforce' (2016-2018), focusing on workforce planning and simulation optimization in manufacturing environments. Research activities span interdisciplinary collaboration with industry partners, emphasizing practical applications of simulation-based methods in production systems and logistics optimization.

Ian DurhamView profile

Professor

• Quantum Physics
• Relativity
• Thermodynamics
• +3 more

Ian Durham is a Professor of Physics at Saint Anselm College, specializing in foundational questions in quantum mechanics, relativity, and the philosophy of science. He holds a Ph.D. in Mathematics from the University of St. Andrews, an MSc in Applied Physics from Johns Hopkins University, and a BSc in Mechanical Engineering from the University of Buffalo. His research explores quantum information theory, relativistic quantum systems, and the interplay between thermodynamics and quantum mechanics. Dr. Durham is an active member of professional societies including the American Physical Society (APS), where he served as Treasurer of the Topical Group on Quantum Information (GQI) from 2012-2014, and the Royal Astronomical Society (RAS). He co-founded the APS GQI's publication The Quantum Times . His recent work addresses topics like quantum superposition in consciousness, observer-independent frameworks in relativity, and the philosophical implications of quantum theory. His awards include election to the Foundational Questions Institute (FQXi) and recognition for editorial contributions to quantum research. Durham's publications span theoretical physics, philosophy of science, and educational strategies for teaching quantum concepts. Notable themes include quantum contextuality, entanglement's role in thermodynamics, and historical interpretations of physics.

Ricardo G. SanfeliceView profile

Professor

• Hybrid Dynamical Systems
• Nonlinear Control
• Robust Control
• +9 more

Ricardo G. Sanfelice is Professor and Chair of the Department of Electrical and Computer Engineering at the University of California, Santa Cruz (UCSC), within the Baskin School of Engineering. He is also Director of the Cyber-Physical Systems Research Center and the CITRIS Aviation Initiative. Education: Ph.D., Electrical and Computer Engineering, University of California, Santa Barbara, 2007 M.S., Electrical and Computer Engineering, University of California, Santa Barbara, 2004 B.S., Electronic Engineering, Universidad Nacional de Mar del Plata, Argentina, 2001 His research focuses on modeling, stability, robust control, and observer design for nonlinear and hybrid systems, with applications in robotics, aerospace, power systems, and biological systems. He leads the Hybrid Systems Lab at UCSC and has contributed significantly to the theoretical foundations and practical implementations of hybrid feedback control and cyber-physical systems. The most recent publications highlight a strong trend toward computation-aware control, hybrid model predictive control, and set-valued methods for safety-critical systems. His work bridges theoretical rigor with real-world applications, particularly in autonomous vehicles and networked control systems. Scientific Awards and Honors: Fellow of IEEE ACM Test-of-Time Award (HSCC Conference) SIAM Control and Systems Theory Prize NSF CAREER Award Air Force Young Investigator Award (YIP) IEEE Control Systems Magazine Outstanding Paper Award Educator of the Year for Higher Education Multiple plenary and semiplenary speaking invitations Blavatnik National Award Campus Nominee ASEE Air Force Summer Faculty Fellow Senior Member of IEEE Prof. Sanfelice has advised several graduate students, including Jun Chai and Dawn Hustigs-Schultz, and has been involved in significant research grants and initiatives such as the AFOSR Center of Excellence and CITRIS Aviation Prize. He is Associate Editor for Automatica and has led the IEEE Technical Committee on Hybrid Systems. He leads the Hybrid Systems Lab at UCSC, which focuses on theoretical and applied aspects of hybrid dynamical systems, including simulation tools like SHARC (Simulator for Hardware Architecture and Real-time Control).

Daniel OiView profile

Senior Lecturer

• Quantum Information
• Quantum Computation
• Quantum Optics
• +7 more

Daniel Oi is a Reader in the Computational Nonlinear and Quantum Optics (CNQO) group at the Department of Physics, University of Strathclyde, under the Faculty of Science. He is also affiliated with SUPA (Scottish Universities Physics Alliance), Ocean, Air and Space, and StrathCyber. He holds an honorary Senior Lecturer position at the University of Bristol's Merchant Venturers School of Engineering (2020–2023). He is actively involved in quantum research and is accepting PhD students. BSc Hons Physics, University of Western Australia (1995) BEng Hons Mechanical Engineering, University of Western Australia (1997) MASt (Part III Mathematics), University of Cambridge (1999) PhD in Quantum Channels, Mixed States, and Interferometry, University of Oxford (2002) Daniel Oi's research spans fundamental quantum theory, quantum engineering, quantum computation, and quantum space technologies. His work emphasizes quantum communication, quantum optics, and quantum information, with applications in space-based quantum key distribution and satellite quantum networks. He explores quantum retrodiction, entanglement, and quantum metrology, bridging theoretical models with experimental implementations. His research contributes to UN Sustainable Development Goals, particularly in education and technological innovation. His recent publications (2020–2025) show a strong focus on space quantum communication, including satellite QKD, quantum repeaters, atom interferometry, and radiation-hardened photodetectors. His work combines theoretical advances with practical engineering for space deployment, emphasizing performance under finite resources and real-world constraints. Key themes include quantum networking, entanglement distribution, and quantum-enhanced sensing using interferometric techniques. He received the recognition of being a founding member of QUISCO (Quantum Information Scotland Network) in 2008. Daniel Oi has been a principal or co-investigator on multiple research projects, including EPSRC-funded CASE accounts, the DTP 2224 studentship, NPL iCASE on quantum transduction, the Integrated Quantum Networks Hub, and ESA’s VOLT Mission. He has hosted academic visitors, organized workshops, and delivered invited talks globally. He supervises research students and contributes to datasets in quantum scheduling and state amplification. He is actively involved in professional activities, including organizing the INSQT Workshop 5, speaking at the Satellite Quantum Key Distribution event, and participating in quantum networks and gravity workshops. His lab, the CNQO group, focuses on computational and theoretical aspects of nonlinear and quantum optics, supporting satellite quantum technologies and foundational quantum research.

• Construction Engineering
• Discrete-event simulation
• 3D Visualization
• +2 more

Julio C. Martinez serves as Associate Professor of Civil Engineering at Purdue University's College of Engineering, appointed in 2007. His expertise centers on simulation and visualization technologies for construction engineering applications. His pioneering research develops advanced computational methods including discrete-event simulation frameworks, spatially accurate 3D animated visualization, virtual reality environments, and Bayesian decision systems. Key innovations comprise the globally adopted Stroboscope simulation language for modeling complex operations and the Vitascope 3D animation system enabling precise temporal/spatial representation of construction processes. Dr. Martinez' scholarly impact is recognized through prestigious awards: NSF Career Award NSF Information Technology Research Award ASCE Best Paper Award (Journal of Computing in Civil Engineering) He maintains active professional leadership as current vice-chair of the American Society of Civil Engineers' Construction Research Council (CRC), with planned chairmanship in 2008. His work bridges academic research and industry implementation through widely deployed simulation tools.

Christos VasilakisView profile

Professor

• Operational Research
• Management Science
• Healthcare Modeling
• +6 more

Christos Vasilakis is a Professor in the Department of Information, Decisions & Operations at the University of Bath, specializing in Operational Research and Management Science applied to healthcare. He serves as Management Director of the Centre for Healthcare Innovation and Improvement and contributes to the Centre for Bioengineering & Biomedical Technologies, Bath Institute for the Augmented Human, and the Centre for 21st Century Public Health. His research focuses on advanced analytics for healthcare service planning, mathematical modeling of interventions, and simulation studies. He has collaborated with clinicians on surgical infections, stroke care, glaucoma, mental health, maternity services, and pandemic response strategies. His work aligns with UN Sustainable Development Goals (SDGs) for healthcare and social well-being. Recent publications highlight his expertise in discrete event simulation, mass casualty blood provision, multi-level innovation theory, and stepped care systems. He holds external roles including Fellow of the Operational Research Society, Honorary Senior Lecturer at Bristol Medical School, and Associate Editor for Health Care Management Science . Fellow of the Operational Research Society (FORS) He supervises doctoral students and leads projects funded by UK Research & Innovation, Innovate UK, and Health Data Research UK South-West. His activities include public talks on funding sources and patient flow optimization.

• Operations Research
• Discrete Event Simulation
• Deterministic Scheduling
• +4 more

John Fowler is a Professor in the Department of Supply Chain Management at Arizona State University's W. P. Carey School of Business, holding the Motorola Professorship in International Management. He previously served as Department Chair (2011-2016) and Avnet Professor of Industrial Engineering at ASU. Education: Ph.D. in Industrial Engineering, Texas A&M University (1990) M.S. in Industrial Engineering, Texas A&M University (1986) B.S. in Industrial Engineering, Texas A&M University (1982) Research Interests focus on discrete event simulation , deterministic scheduling , and multi-criteria decision making , particularly in semiconductor manufacturing systems and healthcare operations. His work bridges operations research with applications in pandemic preparedness, supply chain design, and energy-efficient scheduling. Recent Publications demonstrate expertise in simulation modeling for pandemic response, semiconductor supply chain optimization, and healthcare systems analysis. He has developed decision support frameworks for push-pull supply chains and hybrid scheduling approaches for batch processing in semiconductor manufacturing. Scientific Awards Fellow of the Institute of Industrial and Systems Engineers Outstanding Paper Award, International Journal of Lean Six Sigma (2013) Editorial Service includes Editor-in-Chief of IIE Transactions on Healthcare Systems Engineering (2011-2016) and ongoing roles at Journal of Simulation and IEEE Transactions on Semiconductor Manufacturing . He has held leadership positions in academic societies and served on editorial boards for multiple journals. Grants and Industry Collaboration include NSF funding for healthcare delivery systems, Intel-sponsored semiconductor research, and Mayo Foundation partnerships. His work has addressed pandemic influenza preparedness through simulation models and developed capacity allocation solvers for high-tech industries. Laboratory Leadership encompassed directing the Modeling and Analysis of Semiconductor Manufacturing Laboratory at ASU from 1996 to 2009, where he pioneered simulation frameworks and scheduling methodologies for complex manufacturing systems.

• Health data science
• Artificial Intelligence
• Big Data
• +6 more

Dr. Kristopher Bennett serves as a Doctoral Student and Honorary University Fellow at Peninsula Medical School, University of Plymouth. His academic work bridges data science methodologies with clinical hepatology research, focusing on improving understanding and management of complex liver conditions through advanced analytical approaches. His research expertise spans multiple domains: Health data science applications in medicine Artificial Intelligence for clinical decision support Big Data analytics for healthcare improvement Statistical modeling of disease progression Hepatology and gastroenterology research Health services research methodology Dr. Bennett's recent publications demonstrate a strong thematic focus on decompensated liver cirrhosis, with particular attention to regional variations in patient characteristics, outcomes, and access to specialist care across UK hospitals. His work consistently combines clinical research with sophisticated data analytics to identify patterns that could inform better patient management strategies and resource allocation in hepatology services. He is a key contributor to the Trainee Collaborative for Research and Audit in Hepatology UK, participating in large-scale multicenter studies that address critical questions in liver disease management. His research approach emphasizes real-world evidence generation through retrospective analyses and simulation modeling to evaluate treatment effectiveness in diverse patient populations.