Find Academic Supervisors

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.

Nana AnokyeView profile

Professor

• Health Economics
• Public Health Interventions
• Physical Activity Economics
• +5 more

Nana Anokye is a Professor of Health Economics at Brunel University London, where he leads the Brunel Global Health Academy and the Africa Regional Working Group . He serves as Health Economics Lead for the NIHR North West London Applied Research Collaboration and holds a Visiting Professor position at Imperial College London. PhD in Health Economics (Brunel), MSc in Environmental Resources Management (Germany), BA in Economics and Sociology (Ghana) His research focuses on economic evaluation of public health interventions , particularly in physical activity, obesity, stroke rehabilitation, and financial incentives for maternal health. His work has influenced NICE guidelines and the Canadian Academy of Sport and Exercise position statement. Key themes include value for money assessments, behavioral economics , and global health policy . Recent publications span systematic reviews on obesity interventions in Africa, virtual gaming rehabilitation for stroke, and economic burden of multimorbidity . Notable awards include the Walduck Prize for Research Impact . He teaches MSc Public Health and Health Promotion , contributes to economic evaluation courses, and co-founded the Research Life podcast to communicate research and mentor early-career scientists.

• Artificial Intelligence
• Machine Learning
• Automotive Production
• +8 more

Prof. Dr. Alexander Schiendorfer is a faculty member at Technische Hochschule Ingolstadt within the Faculty of Industrial Engineering , focusing on AI-based Optimization in Automotive Production . His research bridges Artificial Intelligence with manufacturing and industrial engineering , particularly in constraint programming, self-organizing systems, and machine learning applications for composite materials. His work spans pedagogical innovation in machine learning education, real-time manufacturing analytics , and AI for energy systems . Recent publications highlight applications in gas grid management, synthetic data frameworks, and defect analysis in autonomous driving sensors. He leads teams at AImotion Bavaria , collaborating on projects like SmartManPy for synthetic manufacturing data and MORL agents for multi-objective energy optimization. His methodological contributions include certainty groups for neural network confidence estimation and hierarchical resource allocation algorithms.

Dmitry PonomarevView profile

Professor

• Computer Architecture
• Systems Security
• Energy-Aware Systems
• +1 more

Dmitry Ponomarev is a Professor and Associate Director for Administration and Undergraduate Programs at the School of Computing, Binghamton University. He can be contacted via dponomar@binghamton.edu. PhD in Computer Science from Binghamton University Research funded by NSF, Air Force Research Laboratory, Intel, and Qatar National Research Fund Published over 70 papers in leading international conferences and journals His research spans computer architecture , systems security , energy-aware systems , and parallel discrete event simulation , focusing on optimizing hardware-software interactions for security and energy efficiency in high-performance computing environments. Key grants include collaborations with the National Science Foundation (NSF), Air Force Research Laboratory, and multinational tech companies like Intel. His work bridges theoretical modeling with practical system implementations.

Harun AvciView profile

Assistant Professor

• Simulation Optimization
• Energy Systems
• Stochastic Modeling
• +3 more

Harun Avci is an Assistant Professor of Quantitative Analysis in the Coles College of Business at Kennesaw State University. He holds a Ph.D. in Industrial Engineering & Management Sciences from Northwestern University, where he worked under the supervision of Professors Barry L. Nelson, Andreas Wächter, and Eunhye Song. Ph.D. in Industrial Engineering & Management Sciences (2024), Northwestern University M.S. in Industrial Engineering & Management Sciences (2020), Northwestern University M.S. in Industrial Engineering (2018), Bilkent University B.S. in Industrial Engineering with Minor in Economics (2016), Bilkent University His research focuses on simulation optimization methodologies and their applications in energy systems, inventory management, and power distribution networks. Key projects include optimizing energy storage for wind power producers, developing parallel computing strategies for ranking and selection algorithms, and modeling decentralized electric power distribution under voltage constraints. Publications reveal trends in applying stochastic simulation to renewable energy commitment strategies, high-dimensional discrete optimization problems, and inventory systems with partial information. His work spans both theoretical advancements in simulation optimization and practical implementations in energy and agricultural supply chains. Harun teaches courses in applied statistical modeling (ECON 3300), decision analysis (ECON 4850), and business intelligence (ECON 7750) at Kennesaw State University. He previously taught Discrete-Event Systems Simulation (IEMS 317) at Northwestern University.

• Structural Mechanics
• Acoustic Emission Methods
• Damage Diagnosis in Structures
• +15 more

Giuseppe Lacidogna is Associate Professor in Structural Mechanics at the Department of Structural, Building and Geotechnical Engineering (DISEG), Politecnico di Torino, Italy. He leads the Fracture Mechanics Laboratory and is a key researcher in structural health monitoring and damage diagnosis. He holds a PhD in Structural Engineering from Politecnico di Torino (1994) and graduated cum laude in Architecture (1985). He achieved National Academic Qualification as Full Professor in 2018 and is Fellow of the European Academy of Sciences. He serves on the Academic Board of the Doctorate in Civil and Environmental Engineering and previously directed the Structural Engineering Doctorate (2016–2018). Research Interests: Acoustic emission for damage identification in concrete, masonry, and rocks Cracking evolution in masonry arch bridges Creep and long-term behavior of concrete Fracture mechanics and modeling (FEM, DEM) Seismic precursors and critical phenomena Mechanics of macromolecular and protein structures Static and dynamic analysis of high-rise buildings His recent research, reflected in publications from 2022 to 2025, emphasizes acoustic emission monitoring of historical and modern structures (e.g., Garisenda Tower), fracture in 3D-printed geopolymers, self-healing materials, and multiscale modeling of seismic events. His work bridges civil engineering, materials science, and computational mechanics. Scientific Awards and Recognitions: Fellow, European Academy of Sciences (2018) Certificate Merit Award, European Society for Experimental Mechanics (EuraSEM, 2018) Best Paper Award, Conference on Structural Faults + Repair (2008) Top Italian Scientist, Engineering-Mechanics Area (2021) He actively supervises PhD students and has secured competitive and commercial research funding, including the GREENER project (PNRR) and long-term monitoring of the Garisenda Tower. He serves on editorial boards of journals such as SCI , Construction and Building Materials , and Applied Sciences , and is a member of professional societies including AIMETA, RILEM, SEM, and CTBUH. His research integrates experimental and numerical methods to address challenges in infrastructure safety and sustainability. Laboratories and Research Teams: Fracture Mechanics Laboratory (DISEG), Politecnico di Torino Principal Investigator in multiple national and international research collaborations Leader of the SISCON Interdepartmental Center component on Safety of Infrastructures and Constructions

Marko LindnerView profile

Professor

• Functional Analysis
• Numerical Analysis
• Operator Theory
• +8 more

Marko Lindner is a Professor at the Institute of Mathematics, Hamburg University of Technology (TUHH), where he holds the Chair of Applied Analysis. His research lies at the intersection of functional analysis and numerical analysis, particularly focusing on the spectral and Fredholm theory of infinite matrices and linear operators. He has led significant research projects funded by the European Union through Marie-Curie grants and has collaborated with institutions and industries including BAE Systems, UK Met Office, and Schlumberger Ltd. Hamburg University of Technology (TUHH), Institute of Mathematics Chair of Applied Analysis Email: lindner@tuhh.de Office: Room 3,094, Building E, Am Schwarzenberg-Campus 3, D-21073 Hamburg His research interests include operator theory, spectral theory, pseudospectra, finite section methods, discrete Schrödinger operators, and applications in mathematical physics and wave scattering. He investigates the stability and convergence of numerical approximation schemes for infinite-dimensional operators, with deep theoretical contributions to limit operator theory and collective compactness. The recent publications highlight a strong trend in spectral approximation of non-selfadjoint operators, particularly Schrödinger-type operators with periodic, aperiodic, and random potentials. His work combines rigorous functional analytic foundations with computational insights, often involving pseudospectra, condition number asymptotics, and subword-based approximation techniques. The integration of numerical methods with spectral theory is a consistent theme, especially in the context of wave propagation and scattering problems. Scientific awards include: Individual Marie-Curie Fellowship (EU, 2005–2007) Individual Marie-Curie Grant (EU, 2008–2011) Marko Lindner has supervised various research projects, particularly in the areas of wave scattering in unbounded domains and the spectral analysis of infinite matrices. His collaborations span applied mathematics, mathematical physics, and engineering, with funding from both public and private sectors. He is actively involved in the academic community, organizing events such as the Operator Theory Workshop and participating in SIAM & GAMM Chapter activities. He leads and contributes to research teams working on applied operator theory, with a focus on developing stable and efficient numerical methods for complex physical systems. His work bridges theoretical operator algebras and practical computational techniques.

Mahdi BashiriView profile

Associate Professor

• Supply Chain Analytics
• Operations Research
• Stochastic Programming
• +10 more

Mahdi Bashiri is an Associate Professor in the Department of Analytics, Technology and Operations at Leeds University Business School, University of Leeds. He is also affiliated with the Centre for Decision Research (CDR). Previously, he held leadership roles at Coventry University, including Co-lead of the Sustainable Operations and Consumption research cluster and Associate Head of School in Research. Education: Details not explicitly provided in the text. His research spans Supply Chain Analytics, Operations Research, Stochastic Programming, Matheuristics, Home Healthcare Planning, and Wildfire Risk Management . He develops mathematical models and algorithms to solve complex decision-making problems in both public and private sectors. His work enables policymakers and business leaders to make data-driven, impactful decisions. He teaches modules in operations management, supply chain management, and business analytics at undergraduate, postgraduate, and doctoral levels. The recent articles reflect a strong trend in applying stochastic programming and matheuristic algorithms to real-world challenges such as wildfire risk management, home healthcare planning, sustainable logistics, and automated delivery systems . His publications appear in elite journals like European Journal of Operational Research and Transportation Research Part E , indicating consistent high-impact contributions to operations research and supply chain management. Scientific Awards: Exceptional Performance Award, Coventry University, 2021 Young National Top Scientist Award, Academy of Sciences of the Islamic Republic of Iran, 2013 Mahdi has secured multiple research grants, including from the British Academy and USAID, focusing on humanitarian logistics and environmental resilience. He has successfully supervised over 10 PhD students and welcomes new PhD candidates and visiting researchers. He is an active reviewer and serves on the editorial advisory board of Transportation Research Part E . He is a member of the Operational Research Society. Labs and Research Groups: Centre for Decision Research (CDR), University of Leeds Formerly Co-lead, Sustainable Operations and Consumption Research Cluster, Coventry University

Fabian BastinView profile

Professor

• Operations Research
• Optimization
• Stochastic Programming
• +4 more

Fabian Bastin is a Full Professor in the Department of Computer Science and Operational Research (IRO) at Université de Montréal. He holds a prestigious academic position within the university's research and teaching community. His work focuses on optimization, stochastic programming, simulation, and their applications in transportation, energy systems, and finance. Teaching Responsibilities: Bastin teaches advanced courses such as IFT-2505 (Linear Optimization), IFT-3515 (Nonlinear Programming), and IFT-6512 (Stochastic Programming). He also contributes to graduate-level courses on dynamic programming and simulation techniques. His courses emphasize theoretical foundations alongside practical applications, often using tools like MATLAB and the ORATIO library he helped develop. Research Interests: Bastin's research spans stochastic optimization, simulation methodologies, and decision-making under uncertainty. Key areas include air traffic management optimization, hydroelectric reservoir scheduling, and synthetic population generation using copula-based models. He has pioneered work on scenario tree generation for multistage stochastic programming and developed algorithms for efficient mixed logit model estimation. Research Contributions: His publications highlight advancements in stochastic models for transportation systems, energy planning, and financial engineering. Notable works include contributions to the progressive hedging algorithm, recursive logit models for route choice analysis, and Monte Carlo methods for option pricing. Bastin is also actively involved in software development, notably the ORATIO simulation library used in discrete-event modeling. Professional Engagements: He has co-organized conferences on optimization and simulation, and his work has been supported by grants from NSERC and other funding bodies. Despite no explicit mention of awards in the text, his extensive publication record and methodological innovations suggest significant recognition in his field.