جست‌وجوی استاد و پژوهشگر

Joel Gohمشاهده پروفایل

دانشیار

• Health services and systems
• Transportation, logistics and supply chains
• Operations research
• +۶ مورد دیگر

Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .

Michael U. Gutmannمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Bayesian Inference
• Likelihood-Free Inference
• +۹ مورد دیگر

Michael U. Gutmann is a Senior Lecturer in Machine Learning at the School of Informatics, University of Edinburgh, and a member of the Institute for Adaptive and Neural Computation. His research lies at the intersection of machine learning, statistics, and scientific applications, with a focus on developing inference methods for complex and implicit models. Education: PhD in Computational Neuroscience, University of Tokyo MSc in Engineering and Applied Mathematics, Swiss Federal Institute of Technology (ETH) Zurich MSc, Ecole Centrale Paris His primary research interests include Bayesian inference, likelihood-free inference, optimal experimental design, unsupervised learning, and applications in computational biology and neuroscience. He is best known for introducing Noise-Contrastive Estimation (NCE), a foundational technique for training unnormalized statistical models. His recent work spans variational inference, density ratio estimation, flow models for missing data, and AI-driven experimental design in behavioral and biological sciences. His publications, including in NeurIPS , ICML , JMLR , and eLife , demonstrate a strong emphasis on methodological innovation for scientific discovery. He has contributed to open-source tools such as ELFI (Engine for Likelihood-Free Inference) and developed practical implementations of robust inference algorithms. Scientific Awards: No specific awards listed in the provided texts. Michael Gutmann actively supervises students and collaborates with leading researchers in machine learning and computational biology. He has secured research funding from EPSRC and BBSRC for projects in generative modeling and infectious disease epidemiology. He teaches advanced courses such as Probabilistic Modelling and Reasoning and Data Mining, reflecting his deep engagement with both theoretical and applied aspects of machine learning. Labs and Research Groups: Institute for Adaptive and Neural Computation (ANC), University of Edinburgh Former affiliations with Department of Mathematics and Statistics and Department of Computer Science at the University of Helsinki and Aalto University

Gary Froylandمشاهده پروفایل

استاد

• Dynamical Systems
• Machine Learning
• Optimisation
• +۱۲ مورد دیگر

Scientia Professor Gary Froyland is a Professor at the University of New South Wales (UNSW), affiliated with the School of Mathematics & Statistics. He leads the ARC Laureate Centre for Dynamical Systems and Data and holds an Einstein Visiting Fellowship from the Einstein Foundation Berlin. His academic credentials include a BSc (Hons 1, Medal) in Pure and Applied Mathematics from the University of Queensland and a PhD in Mathematics from the University of Western Australia. Professor Froyland's research spans two primary domains: dynamical systems and optimization. In dynamical systems, he investigates the interplay of probability and geometry in nonlinear and chaotic systems, employing tools from ergodic theory, functional analysis, and differential geometry. His work extends to applications in oceanography, atmospheric science, and granular flows. In optimization, he focuses on decision-making in complex systems with uncertain information, developing novel approaches in mathematical programming that have been applied to mining, logistics, and medical treatment planning. His recent publications demonstrate a strong focus on coherent structures in dynamical systems, linear response theory, and applications to geophysical phenomena. The research shows increasing interdisciplinary collaboration, particularly with climate scientists and data analysts, reflecting a trend toward applying advanced mathematical techniques to real-world problems in environmental science and engineering. J.D. Crawford Prize (2025) Elected Member of the Academy of Europe / Academia Europaea (2024) ARC Laureate Fellow (2024-2029) Fellow of the Society for Industrial and Applied Mathematics (SIAM) (2021) Fellow of the Australian Academy of Science (2020) Vice-Chancellor's Award for Teaching Excellence - Postgraduate Research Supervision (2015) Professor Froyland actively supervises PhD and honors students, with current advisees including Kevin Felipe Kühl Oliveira, Nicholas Peters, and Kathrin Völkner. His research is supported by multiple grants, including an ARC Laureate Fellowship (2024-2029) for "Breakthrough mathematics for dynamical systems and data," an Einstein Visiting Fellowship (2022-2026), and several ARC Discovery Projects. His work has practical applications in climate science, mining optimization, and medical treatment planning, particularly in radiotherapy. He leads the ARC Laureate Centre for Dynamical Systems and Data, which brings together researchers to develop new mathematical approaches for analyzing complex dynamical systems. The center focuses on creating methods to identify coherent structures in spatiotemporal data, with applications spanning environmental science, social science, health science, and engineering.

LING Chun Kaiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Decision Making & Planning
• Machine Learning
• +۱۳ مورد دیگر

LING Chun Kai is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), School of Computing. His research focuses on multiagent systems, computational game theory, and machine learning applications in adversarial real-world domains like cybersecurity and logistics. Educational background includes a PhD in Computer Science (2017-2023) from Carnegie Mellon University and a First Class BEng in Computer Engineering (2015) from NUS. Previously, he was a Postdoctoral Research Scientist at Columbia University. Current research interests span computational game theory, machine learning for multi-agent systems, equilibrium characterization in imperfect information settings, and applications in network security, logistics, and recreational games. Key methodological contributions include scalable algorithms for game solving, differentiable game solvers, and copula-based statistical modeling. Recent publications focus on attacker-defender graph games, language negotiation agents, and modeling games with incomplete information. Collaborations include researchers from Columbia University, Carnegie Mellon, and institutions working on GameSec, AAAI, Neurips, and ICML venues. Scientific Awards: IJCAI 2018 Distinguished Paper Award GameSec 2023 Best Paper Award GameSec 2024 Best Paper Award Singapore Teaching and Academic Research Talent Scheme (2024) Teaching includes courses on AI Planning and Decision Making (CS4246, CS5446) and Advanced Topics in Artificial Intelligence (CS6208).

Elina Rönnbergمشاهده پروفایل

استاد

• Discrete Optimisation
• Mathematical Optimisation
• Scheduling
• +۱۸ مورد دیگر

Elina Rönnberg is a Professor and Deputy Head of Department at the Department of Mathematics, Linköping University, where she leads research in discrete optimisation and intelligent decision-making. Her work bridges theoretical method development and real-world applications in sectors such as healthcare, aviation, mining, and transportation. She is actively involved in the Wallenberg AI, Autonomous Systems and Software Program (WASP) and has collaborated with industry leaders like Saab and Scania. Her research focuses on advanced optimisation techniques including Dantzig-Wolfe decomposition, Lagrangian relaxation, column generation, branch-and-price, and logic-based Benders decomposition. She also explores hybrid methods combining mathematical programming with constraint programming and machine learning. Applications span nurse rostering, electric vehicle routing, aircraft arrival scheduling, and underground mine planning. Recent publications highlight a strong trend toward integrating AI and machine learning—particularly graph neural networks—with classical optimisation frameworks to accelerate solution methods. Her work emphasizes practical impact, robustness, and scalability in solving complex scheduling and resource allocation problems. Nurse Rostering with Strategic Planning of Skills for Sick-Leave Robustness (2024) Pricing for the EVRPTW with Piecewise Linear Charging (2024) Speeding Up Logic-Based Benders Decomposition with Graph Neural Networks (2024) Elina supervises several PhD students and has co-supervised doctoral research at international institutions including Makarere University (Uganda) and the University of Exeter (UK). She has contributed to applied projects through student theses in collaboration with Scania and Saab, focusing on electric vehicle routing and search-and-rescue optimisation. She previously served as a Specialist in Optimisation at Saab Aeronautics (2014–2020) and co-founded Schemagi, a scheduling tool aimed at improving quality in healthcare. She teaches courses such as Introduction to Optimization (TAOP07) and Project - Applied Mathematics (TATA62). Her research group, 'Mathematics and algorithms for intelligent decision-making,' operates within the Division of Applied Mathematics (TIMA) at the Department of Mathematics. The team develops decision support tools that enhance efficiency and sustainability in complex systems, particularly under the growing demands of electrification and digitalisation in transport and logistics.

• Multi-criteria decision analysis
• Operations research
• Fuzzy sets and fuzzy numbers
• +۷ مورد دیگر

Matteo Brunelli is Associate Professor of “Mathematical Methods of Economics and Actuarial and Financial Sciences” at the University of Trento , Department of Industrial Engineering, and Adjunct Professor (docent) at Lappeenranta University of Technology , Finland. He is nationally habilitated as Full Professor in Italy and has held long-term visiting positions at Berkeley, Turku, Auckland, JAIST and Binghamton. Education: Ph.D. (Doctor of Science) in Information Technologies, Åbo Akademi University, Finland, 2011 – graded Eximia cum laude approbatur M.Sc. in Economics, University of Trento, 2007 – grade 110/110 cum laude B.Sc. in Economics, University of Trento, 2005 Research focus: Brunelli’s work sits at the intersection of multi-criteria decision analysis , operations research and computational optimisation . He develops axiomatic foundations and algorithms for pairwise comparison matrices , consistency indices , the best-worst method and fuzzy preference relations , and applies them to energy planning, sustainable inventory, maintenance scheduling, 3-D printer selection, and blockchain governance. His 2023-2025 articles reveal intensified interest in uncertainty modelling (Dempster-Shafer theory), bi-objective optimisation of inventory and maintenance, and group decision protocols that integrate probabilistic or active-learning components, demonstrating both methodological depth and practical relevance. Scientific awards & grants: Academy of Finland Postdoctoral Researcher grant (€254 670, 2014-2017) Claudio Dematté Research Grant (€19 000, 2008) Teacher of the Year Award, Aalto University (2013 – both Spring & Autumn semesters) Bernard Roy Award 2021 for outstanding contribution to Multiple Criteria Decision Aiding (under-40 category) Supervision & funding: While specific doctoral students are not listed, Brunelli currently supervises graduate theses at Trento and has continuously held competitive national grants. His Academy of Finland project “Consistency of valued preference relations for decision analytics methods” financed three years of full-time research and international collaboration. Editorial & community roles: He serves on the editorial boards of International Journal of General Systems and Mathematical and Computational Applications , and acts as area editor for Journal of Multi-Criteria Decision Analysis , positioning him among the key gatekeepers of the MCDA community.

Pierre Flenerمشاهده پروفایل

استاد

• Artificial Intelligence
• Constraint Programming
• Discrete Optimization
• +۵ مورد دیگر

Pierre Flener is a Professor at the Department of Information Technology, Division of Computing Science at Uppsala University. He leads the Optimisation Group and is a member of the Centre for Interdisciplinary Mathematics. His work focuses on constraint programming and discrete optimization, addressing complex scheduling, routing, and resource allocation challenges. Flener is an Officer of the Order of Merit of Luxembourg and co-founder of NordConsNet, the Nordic Network for Constraint Programming researchers. Research Interests: Flener’s research spans constraint programming, combinatorial optimization, and algorithm design. He develops models and tools for automated decision-making in domains like air traffic management, sensor networks, and industrial robotics. His work emphasizes practical applications, leveraging constraint satisfaction techniques to solve real-world puzzles such as vehicle routing and personnel allocation. Key Contributions: Flener has authored over 100 publications on constraint solving, symmetry breaking, and CP-based approaches to industrial problems. Notable projects include airspace sectorization optimization, energy-efficient sensor networks, and financial portfolio design. He has led initiatives like Auto-Tabling for MiniZinc and collaborated on CP applications in bioinformatics and image processing. Labs & Teams: He heads the Optimisation Group at Uppsala, fostering research in CP and its applications. NordConsNet, co-founded by Flener, connects Nordic researchers and practitioners in constraint technology.

Shu-Jung Sunny Yangمشاهده پروفایل

استاد

• Supply Chain Resilience
• Sustainable Operations
• Data-Driven Operations
• +۳ مورد دیگر

Shu-Jung Sunny Yang is a Professor and Chair in Operations Management at the School for Business and Society, University of York. He has held faculty positions at institutions including the University of Melbourne, University of Essex, and National Taiwan University, alongside administrative roles such as department head and research centre director. He earned his PhD in Management from the Australian Graduate School of Management (AGSM) at the University of Sydney and University of New South Wales. His research focuses on Supply Chain Resilience, Sustainable Operations, and Data-Driven Operations, combining formal theory, data science, and operational research. Recent work includes modeling supply chain collaboration for medical mask distribution during disruptions and exploring altruistic venturing through community-based approaches. His book Building Resilience: Consistent Re-rationalisation in Digital Transformation and Business Inheritance won the 2022 Golden Book Award in Taiwan. Awards: 2022 Golden Book Award (Taiwan) 2004 Sasakawa Young Leader Fellow (Japan) 2019 Ta-Yu Wu Memorial Award (Taiwan) Yang leads the Human futures in the digital transformation interdisciplinary cluster. His teaching includes Operations Management and Supply Chain Management. He currently serves as a guest editor for Transportation Research Part E and holds editorial roles at Journal of General Management and Journal of Management and Systems . Research grants include the British Academy-funded project on Optimising Product Line Design in Professional Service Operations . He actively collaborates with industry and academia, emphasizing practical applications of operations strategy.

Francisco Benitaمشاهده پروفایل

مدرس

• Data Science & Analytics
• Optimisation & Decision Science
• Economics & Public Policy
• +۱ مورد دیگر

Francisco Benita is an Adjunct Lecturer at the Engineering Systems and Design (ESD) Pillar of Singapore University of Technology and Design (SUTD). He holds a PhD in Engineering Sciences from Monterrey Tech (2016) and an MSc in Industrial Economics from Universidad Autónoma de Nuevo León (2012). Prior to SUTD, he was a postdoctoral fellow at SUTD’s Architecture and Sustainable Design Pillar and a Senior Advisor at the ITESM-BMGI Lean Six Sigma Program. His research focuses on urban systems, optimization, data science, and their intersections with economics and public policy. Key areas include transportation networks, spatial livability indices, and pandemic impacts on urban environments. Benita’s interdisciplinary work spans fields like sustainable urban design, carbon emissions modeling, and global trade dynamics. Recent publications highlight trends in transportation innovation (e.g., ride-sharing impacts, aircraft routing frameworks), climate-resilient urban planning (e.g., walkway thermal comfort), and pandemic analysis. His projects often integrate quantitative methods with real-world data, emphasizing actionable insights for policymakers and urban planners. Though no scientific awards are explicitly mentioned, his extensive international collaborations—including research visits to TU Berlin, Vrije Universiteit Brussel, and Supélec—reflect his global academic engagement. Students and grants are not listed in the provided texts. Benita’s work is anchored in labs/teams within SUTD’s ESD Pillar, though specific lab affiliations are not detailed. His research bridges theoretical optimization with practical urban challenges, contributing to both academic discourse and applied solutions in smart cities.

Christine Currieمشاهده پروفایل

استاد

• Operational Research
• Simulation Optimisation
• Healthcare Management
• +۹ مورد دیگر

Professor Christine Currie is a Professor of Operational Research within the School of Mathematical Sciences at the University of Southampton. She is a Fellow of the Alan Turing Institute and previously served as Director of the Centre for Operational Research, Management Science and Information Systems (CORMSIS). Her research is primarily funded by EPSRC and spans healthcare, disaster relief, and pricing optimisation. Research Interests: Simulation Optimisation Healthcare Management Decision Making Under Uncertainty Disaster Relief Logistics Optimal Pricing and Revenue Management Her recent work focuses on real-time simulation for emergency departments, infectious disease modelling, patient flow optimisation, food relief procurement in Indonesia, and robust pricing models in transportation and leisure sectors. The trend in her publications shows a strong emphasis on applied operational research with societal impact, particularly in digital twin integration and stochastic optimisation under uncertainty. Scientific Awards: Companion of Operational Research (2024) Professor Currie actively supervises PhD students and has secured multiple research grants, primarily from EPSRC. She has led projects such as 'Dial-a-Ride', 'CREST-OR', and 'Designing a resilient food supply network for natural disasters in West Java, Indonesia'. She also collaborates with external organisations and has supervised student projects with industry partners. Leadership and Editorial Roles: Editor-in-Chief, Journal of Simulation (2015–2024) Member, Editorial Board, Royal Society Open Science (2021–present) Co-chair, OR63 National Operational Research Conference (2021) Member, Operational Research Society Research Panel She is actively involved in the operational research community and leads interdisciplinary research teams including the Operational Research group, Institute for Life Sciences, CORMSIS, and the Centre for Healthcare Analytics.

Evangelos Boulougourisمشاهده پروفایل

استاد

• Naval Architecture
• Marine Engineering
• Ocean Engineering
• +۱۹ مورد دیگر

Professor Evangelos Boulougouris is Head of the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, where he also serves as Chair of the Maritime Safety Research Centre. He is a chartered professional engineer with over 28 years of internationally recognized research in maritime safety, design for safety, and holistic ship design. His work spans damage stability, autonomous vessels, alternative fuels, and ship survivability, with strong impact on international regulations through roles in IMO, ITTC, SNAME, and RINA. Research Interests: His primary research focuses on safety of marine operations, including damage and intact stability in waves, collision avoidance, ship evacuation, crashworthiness, and the integration of alternative fuels like ammonia and hydrogen. He leads cutting-edge work in multi-objective ship design optimization, risk modeling, and decarbonization strategies for advanced marine vehicles. The recent 15 publications highlight a strong trend toward digitalization and sustainability in shipping, combining machine learning for propeller optimization, CFD simulations for catamaran performance, real-time decision support in emergencies, and hybrid propulsion systems for zero-emission vessels. His work increasingly emphasizes climate resilience, port risk under extreme weather, and energy management in CTVs, aligning with global SDGs. Scientific Awards: 2020 Denny Medal SNAME ABS Captain Joseph H. Linnard Prize (2023) Safety 2020 Best Paper Award (2022) Honorable Mention for Vice Admiral E. L. Cochrane Award (2022) EU CHAMPIONS of Transport Research (HOLISHIP, TRA 2014) Greek Technical Innovation Award, Lloyd’s List (2009) 1st Prize, International SAFER SHIP Competition (1999) Advising and Grants: He actively supervises PhD students and has led numerous EU and UK-funded projects such as SEASTARS, SAFARI, EcoShipYard, and Digital Shipwright. As Principal Investigator and Co-I, he secures substantial research funding, coordinates knowledge exchange (KE) initiatives, and leads training programs across Europe. Labs and Teams: He leads the Maritime Safety Research Centre at Strathclyde, fostering interdisciplinary collaboration on ship safety, stability, and sustainable design. His team works closely with industry partners RCG and DNV, and engages in international networks through STAB, ITTC, and IMO committees.

Yufeng Zhangمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Sustainability
• +۱۲ مورد دیگر

Professor Yufeng Zhang is a Chair in Operations Management and Head of the Department of Management at Birmingham Business School, University of Birmingham. He is also a Senior Fellow of the Higher Education Academy and a Fellow of the Alan Turing Institute. His academic journey began at Shanghai Jiao Tong University, continued at the Technical University of Berlin, and culminated with a PhD from the University of Cambridge, where he also worked as a Research Associate before joining Birmingham in 2009. PhD, Engineering – University of Cambridge MSc/Dipl-Ing, Global Production Engineering – Technical University of Berlin BEng, Mechanical Engineering & Automation – Shanghai Jiao Tong University BEng, International Finance – Shanghai Jiao Tong University PG Cert in Learning & Teaching in Higher Education Yufeng Zhang’s research focuses on sustainability, digitalisation, engineering innovation, and global network operations. His work integrates engineering and management perspectives, employing qualitative, quantitative, and simulation methods. He has led numerous projects funded by UK, EU, and international bodies, and has published over 80 refereed papers in top-tier journals such as Journal of Operations Management , International Journal of Production Economics , and Journal of Cleaner Production . His recent publications highlight trends in green operations, sustainable supply chains, digital transformation, and network capabilities. The research spans subfields including environmental performance, IoT integration, supply chain flexibility, and servitisation, reflecting a strong interdisciplinary focus on modern operational challenges. His scientific awards include the University’s Excellence in Teaching and Learning Award (2013), Literati Nominations for Highly Recommended Papers (2008, 2013), and recognition as a Senior Fellow of the Higher Education Academy and Turing Fellow. Yufeng has supervised over 20 PhD students and has held key roles such as Deputy Lead for REF2021, Director of Business Programmes with Engineering, Sciences, Law and Languages (2010–2017), and Coordinator of Europe China High Value Engineering Networks (EC-HVEN). He is an External Examiner for multiple universities and a Visiting Professor at Zhejiang University, demonstrating extensive academic leadership and collaboration. He leads and contributes to research labs and networks focused on engineering innovation and sustainable operations, including collaborations with industry and international institutions. His future work continues to explore the intersection of digital technologies, sustainability, and global operations, aiming to shape resilient and responsible business practices.

• Renewable Energy
• Solar Thermal Energy
• Energy Storage
• +۹ مورد دیگر

Dr Leok Lee is a Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide . He is also an active member of the Centre for Energy Technology , contributing to cutting-edge research in renewable energy systems. Research Interests: Renewable energy systems, with a focus on solar thermal energy and energy storage. System integration and optimisation of complex transient energy systems. Computational fluid dynamics (CFD) and experimental design for energy applications. Decarbonisation of heavy industry through clean energy technologies. His research spans from fundamental studies in heat transfer and fluid mechanics to applied engineering solutions for decarbonising industrial processes. He has led and contributed to projects funded by ARENA and HILT CRC, targeting the integration of concentrated solar thermal energy into industrial applications such as the Bayer Alumina process. Supervision & Mentorship: Dr Lee is eligible to supervise Masters and PhD students and actively mentors undergraduate, Masters, and PhD candidates. He encourages prospective students to contact him via email to discuss research opportunities. Contact: Email: leok.lee@adelaide.edu.au Location: Room 3, Engineering South, North Terrace Campus

• Sustainable Transport
• Electric Vehicles
• Reverse Logistics
• +۵ مورد دیگر

Dr. Erica Ballantyne is a Senior Lecturer in Operations and Supply Chain Management at the University of Sheffield Management School, where she leads the Logistics & Supply Chain Management Research Theme. With a PhD from the University of Leeds and industry experience at major logistics firms, her work focuses on sustainable transport solutions. She holds a PG Certificate in Learning & Teaching and is a Fellow of the Higher Education Academy. Education: BSc Hons Business Administration & Transport Management (Cardiff University) MSc Logistics and Supply Chain Management (University of Hull) PhD in Transport Studies (University of Leeds) Research Interests: Dr. Ballantyne specializes in electric vehicle applications in logistics, urban freight planning, and sustainable transport policy. Her interdisciplinary approach integrates energy storage solutions with transport systems, reverse logistics optimization, and behavioral aspects of supply chain management. Publication Trends: Recent works demonstrate a strong focus on data-driven modeling of EV energy consumption, infrastructure integration for urban fleets, and policy frameworks for sustainable freight. Methodologies emphasize empirical analysis and cross-sector applications. Awards: Fellow of the Higher Education Academy (FHEA) Research Leadership: Principal Investigator for multiple grants including EPSRC-funded 'Fleet Energy Optimisation' and EU H2020 project 'ProSFeT'. Actively supervises PhD candidates investigating EV charging infrastructure and last-mile delivery solutions. Professional Engagement: Committee member of Chartered Institute of Logistics & Transport (CILT) South Yorkshire group, with research cited in international policy frameworks.

Rakesh Nagiمشاهده پروفایل

استاد

• Data Science & Analytics
• Machine Learning & AI
• Operations Management
• +۷ مورد دیگر

Rakesh Nagi is a Professor and Head of the Engineering Systems and Design Pillar at Singapore University of Technology and Design (SUTD), where he joined in August 2023. He concurrently holds the Donald Biggar Willett Professorship at the University of Illinois, Urbana-Champaign (UIUC), on leave. His academic leadership includes serving as Department Head of Industrial and Enterprise Systems Engineering at UIUC (2013–2019) and as Interim Director of the Illinois Applied Research Institute (2016–2018). Previously, he was Chair of Industrial and Systems Engineering at the University at Buffalo (SUNY) from 2006 to 2012. Education: PhD (1991) and MS (1989) in Mechanical Engineering from the University of Maryland, College Park, with work at the Institute for Systems Research and INRIA, France. BE (1987) in Mechanical Engineering from the University of Roorkee (now IIT Roorkee), India. Research focuses on Data Science, Machine Learning, Operations Research, GPU-accelerated computing, and military applications. Key areas include Big Graphs, High-level Information Fusion, Production Systems, and Multi-Agent Systems. His work often leverages parallel computing and optimization techniques. Recipient of prestigious awards: IISE David F. Baker Award (2022), INFORMS Koopman Award (2021, 2018), and multiple DARPA Graph Challenge recognitions. Contributions span over 100 peer-reviewed articles in top journals (e.g., Operations Research, IEEE Transactions) and conferences. Research projects include Hybrid AI/ML-Optimization for cloud workflows, GPU-accelerated algorithms for multi-target tracking, and interventions against illicit supply chains. Active collaborations with IBM-Illinois and NSF-funded initiatives address strategic resource allocation and network analysis. Labs/Teams: Leads the Engineering Systems and Design Pillar at SUTD and coordinates interdisciplinary projects at UIUC’s Coordinated Science Laboratory.