جستجوی استاد راهنمای دانشگاهی

Sara Shafieeمشاهده پروفایل

پژوهشگر

• Product Configuration Systems
• Manufacturing Engineering
• Artificial Intelligence Applications
• +۵ مورد دیگر

Sara Shafiee is a Senior Researcher at the Department of Civil and Mechanical Engineering , Technical University of Denmark (DTU) . She specializes in product configuration systems, manufacturing engineering, and AI-driven innovation. Her work bridges technical systems with organizational agility, emphasizing sustainability and customer-centric design. External Roles: Founder & CEO of DivERS (Jan 2021–) External Lecturer at Copenhagen Business School (2022–2024) Senior Business Consultant at Haldor Topsoe AS (2017–2019) Research Focus: Her work addresses challenges in product configuration systems, generative AI applications, and sustainable construction. Key themes include: Optimal product design through recommendation systems Agile methodologies in knowledge-intensive development Environmental impact monitoring via configurators Publications Trends (2023–2025): Recent work explores AI-driven manufacturing optimization, consumer-centric innovation strategies, and the integration of environmental monitoring into design systems. High-impact areas include generative AI applications (13K+ downloads) and modular construction configurators. Awards: Agnes & Betzy Award (2025) Nordic Women in Tech Leadership Award (2022) Best Digital Startup (Venture Cup Denmark, 2021) Innovation Fund Denmark Role Model (2018) Advising & Grants: Supervised PhD projects on recommendation systems and configurator design. Lead PI of the RECODE project (DFF Grant DKK 10M+, 2024–2027) focusing on deep learning for engineer-to-order systems. Labs & Teams: Core member of DTU’s Design and Manufacturing Systems group, collaborating with industry partners like Haldor Topsoe and DivERS to develop scalable configurator solutions.

Saibal Rayمشاهده پروفایل

استاد

• Supply Chain Management
• Supply Chain Risk Management
• Retail Operations Management
• +۳ مورد دیگر

Saibal Ray is a James McGill Professor of Operations Management and Vice-Dean, Faculty at the Desautels Faculty of Management, McGill University. He holds the Desautels Business Leadership Chair and has served in multiple academic leadership roles, including Vice-Dean, Research and Academic Director of the Bensadoun School of Retail Management. His expertise spans supply chain management, risk management, and retail operations, with a focus on agri-food and natural resources sectors. He has published extensively in top journals like Management Science and Operations Research, and holds editorial roles at journals such as Production and Operations Management. Ray earned a PhD from the University of Waterloo, an MEng from the Asian Institute of Technology, and a BEng from Jadavpur University. His research bridges operations and marketing, addressing challenges like supply chain risk, pricing strategies, and sustainability. He has secured major grants from NSERC, SSHRC, and Quebec agencies, and received awards including the Desautels Faculty Scholar and Quebec Teaching Excellence Award. His teaching focuses on operations and supply chain management at the MBA and graduate levels. Ray’s work integrates academic leadership with practical impact, advising on initiatives like the McGill Center for the Convergence of Health and Economics. His recent research explores behavioral retail tactics, health-conscious bundling, and supply chain resilience in dynamic markets.

• Business Value of IT/IS
• Digital Transformation
• Robotic Process Automation
• +۳ مورد دیگر

Mondher Feki is an Associate Professor of Management at Université Paris-Saclay, focusing on IS/IT management and digital transformation. His research explores blockchain applications in supply chains, robotic process automation (RPA), robo-advisors, and generative AI. He teaches Management Information Systems and Data Management courses. Currently serving as a reviewer for journals like Business & Information Systems Engineering and conferences like HICSS and ECIS. Active member of the Association Information & Management (AIM). Key research areas include digital transformation strategies, blockchain's operational impact, AI-driven financial advisory systems, and RPA implementation in insurance sectors. His work emphasizes technology adoption challenges and strategic alignment in business contexts. Recent publications analyze blockchain use in French retail logistics, RPA benefits for Allianz France, and IS quality's strategic role in firm performance. Conference contributions address robo-advisors in crowdfunding and pandemic-driven higher education innovation. Maintains active academic service roles in peer review and conference organization.

• Environmental Economics
• Biodiversity Conservation
• One Health
• +۵ مورد دیگر

Professor Nicholas Hanley holds the Chair in Environmental and One Health Economics at the University of Glasgow's Institute of Biodiversity, Animal Health and Comparative Medicine. He joined in 2017 after previous roles at the Universities of Stirling, Edinburgh, and St Andrews. His research focuses on applying economic methods—including behavioral economics—to biodiversity conservation, One Health challenges, sustainability metrics, and the design of Payment for Ecosystem Services (PES) schemes. He is an Associate Editor of Resource and Energy Economics and Ecological Economics . Current research includes modeling biodiversity net gain policies in the UK, ecological-economic simulations of woodland expansion impacts, and the relationship between natural sounds (e.g., bird song) and mental well-being. He also leads work on coastal resilience, soil carbon markets, and the economic implications of historic pollution. His projects often integrate interdisciplinary approaches, combining ecology, economics, and policy analysis. Key research themes include valuing biodiversity offsets, spatial coordination in conservation auctions, and the economic consequences of land-use changes. His work emphasizes practical policy applications, such as designing effective conservation markets and evaluating trade-offs between environmental and economic objectives. Publications span over 350 articles, with recent work focusing on marine plastic pollution agreements, livestock disease economics in Tanzania, and sediment management in hydropower systems. His research frequently highlights the importance of integrating behavioral insights and spatial analysis into environmental policy design.

Minshuo Chenمشاهده پروفایل

استادیار

• Generative AI
• Diffusion Models
• Reinforcement Learning
• +۳ مورد دیگر

Minshuo Chen is an Assistant Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University. He previously served as an Associated Research Scholar in the ECE department at Princeton University, collaborating with Prof. Mengdi Wang. His research focuses on developing methodologies and theoretical foundations in generative AI, reinforcement learning, and optimization. He holds a Ph.D. from Georgia Tech (supervised by Prof. Tuo Zhao and Wenjing Liao), a Master's from UCLA, and a Bachelor's from Zhejiang University. Key research areas include diffusion models for distribution estimation, foundations of learning (approximation and optimization), and reinforcement learning applications in complex systems. He has presented at major conferences like INFORMS 2024 and NeurIPS 2023, and serves as an area chair for NeurIPS 2023. His recent work emphasizes theoretical guarantees for diffusion models, including statistical rates and optimization perspectives. He has received awards such as the ARC-TRIAD Student Fellowship and William S. Green Fellowship. Collaborations include studies on POMDPs, policy evaluation, and manifold learning.

Ricardo Rochaمشاهده پروفایل

دانشیار

• Conservation Science
• Biodiversity
• Habitat Restoration
• +۷ مورد دیگر

Dr. Ricardo Rocha is an Associate Professor in Conservation Science and Tutorial Fellow at Jesus College, University of Oxford. He leads research addressing conservation challenges under global change, focusing on biodiversity restoration post-habitat loss, human-modified landscapes, and evidence-based decision-making. His work integrates ecological theory with large-scale field studies in tropical and island ecosystems. Key research interests include taxonomic/functional responses to habitat fragmentation, secondary forest regeneration, and managing agricultural landscapes for biodiversity. He investigates invasive species impacts (e.g., cats, geckos) and ecosystem service provision, using methods like DNA metabarcoding and passive acoustic monitoring. Dr. Rocha contributes to global conservation initiatives such as BioTIME 2.0 (biodiversity time series database) and the SOPWA project (sustainable oil palm in West Africa). His expertise spans tropical ecosystems, island biogeography, and interdisciplinary approaches to conservation. He collaborates widely, publishing on bat ecology, invasive species dynamics, and conservation policy. Recent work emphasizes island systems (Madeira, São Tomé) and human-wildlife interactions in agricultural settings.

Jing Cynthia Wuمشاهده پروفایل

استاد

• Macroeconomics
• Finance
• Monetary Policy
• +۵ مورد دیگر

Jing Cynthia Wu is a Professor and Paul W. and Catherine A. Boltz Chair in the Department of Economics at the University of Illinois at Urbana-Champaign, part of the College of Liberal Arts & Sciences. Her research focuses on macroeconomics and finance, with an emphasis on monetary policy, fiscal policy, and financial market dynamics. She holds editorial roles at the Journal of Money, Credit and Banking and the American Economic Journal: Macroeconomics , and is a Research Associate at the National Bureau of Economic Research (NBER). Her work examines unconventional monetary policies such as quantitative easing (QE), central bank digital currencies (CBDC), and the implications of zero lower bound constraints. Key themes include fiscal-monetary policy interactions, inflation targeting strategies, and the transmission mechanisms of global financial integration. Recent studies address post-pandemic inflation dynamics, policy normalization, and the distributional effects of monetary interventions. Dr. Wu’s contributions span both theoretical modeling (e.g., New Keynesian frameworks, heterogeneous agent models) and empirical analysis of financial markets. She has published extensively on yield curve dynamics, bond risk premia, and the macroeconomic impacts of unconventional policies. Her research bridges academic theory with policy relevance, informing central bank decision-making on tools like QT (quantitative tightening) and forward guidance. Awards/Honors: Paul W. and Catherine A. Boltz Chair, NBER Research Associate, Journal Editorial Roles Grants/Advising: Active in funding and mentorship through UIUC and NBER collaborations, though specific grants/students are not listed in available data. Her work often addresses pressing policy questions such as optimal QE design, CBDC frameworks, and the role of international financial linkages in policy transmission. Current projects likely explore evolving central bank toolkit strategies and inflation dynamics in a post-pandemic world.

Lillian Leeمشاهده پروفایل

استاد

• Natural Language Processing
• Social Computing
• Computational Social Science
• +۴ مورد دیگر

Lillian Lee is a Professor of Computer Science at Cornell University, affiliated with the College of Computing and Information Science. Her research bridges natural language processing (NLP) and social interaction, focusing on how computational methods can analyze and facilitate socially embedded processes. She co-developed the course “Natural Language Processing and Social Interaction” and leads the Cornell NLP Group. Her work spans sentiment analysis, computational social science, and multimodal interaction, with notable contributions to understanding language features in persuasion, online debate dynamics, and humor comprehension. Key research interests include analyzing digital traces of social interaction, evaluating AI systems through human-centered criteria, and exploring the interplay between language structure and societal influence. Recent projects examine pivotal moments in mental health counseling, cross-cultural historical narratives on Wikipedia, and the role of wording in message propagation. Awards: ACM Fellow, ACL Distinguished Service Award (2021), Test of Time Award, Fellow of the Association for Computational Linguistics Labs/Teams: Member of the Cornell Natural Language Processing Group Advising: Mentored numerous students whose work has driven impactful projects in NLP and computational social science

Charles Gillanمشاهده پروفایل

مدرس ارشد

• High Performance Computing (HPC)
• Artificial Intelligence (AI) in Healthcare
• Quantum Computing
• +۴ مورد دیگر

Charles Gillan is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, affiliated with the High Performance and Distributed Computing department and the Institute of Electronics, Communications & Information Technology. His research bridges HPC systems, AI applications in healthcare, and computational physics. Key projects include managing ICU patient care via neural networks, exascale-ready mathematical packages, and edge computing architectures. Research interests focus on high-performance computing (HPC), quantum computing, real-time data analytics, and electron-molecule scattering simulations. Notable contributions include developing microserver architectures for edge analytics and advancing AI-driven clinical decision support systems. Gillan has collaborated on interdisciplinary projects like food authenticity testing using spectroscopy and improving ventilator management in intensive care units. Publications span AI in healthcare, HPC system design, and computational methods for physics problems. He has secured funding for initiatives such as the KTP partnership with Foods Connected Ltd and the HANDHELD olfactory detection project. Gillan's work emphasizes practical applications of advanced computing across healthcare, engineering, and cybersecurity domains.

Piotr Jankowskiمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• Spatial Decision Support Systems
• Participatory GIS
• +۳ مورد دیگر

Piotr Jankowski is a Professor of Geography and Director of the Joint Doctoral Program in Geography between San Diego State University (SDSU) and the University of California, Santa Barbara. He holds a Ph.D. from the University of Washington and has held faculty positions at institutions in the U.S., Germany, and Poland. His research focuses on spatial decision support systems, participatory GIS, and sensitivity analysis in spatial models. He has authored/co-authored over 100 peer-reviewed publications and two books on GIS applications in urban planning and decision-making. Education: Ph.D. (1989, University of Washington), M.S. (1979, Poznań University of Economics and Business). Positions include Professor at SDSU since 2003, Director of the Joint Doctoral Program since 2019, and Coordinator of the GIS Certificate Program. He has led international collaborations in Austria, Brazil, Germany, Ireland, Italy, New Zealand, and Poland. Research interests span spatial decision support systems, participatory GIS methodologies, and sensitivity analysis in spatial models. His work emphasizes bridging GIS technology with urban planning and environmental decision-making. Recent publications explore AI-enabled participatory planning, uncertainty in spatial models, and geodiversity assessment. Awards: 2018/19 SDSU Alumni Distinguished Faculty Award. Grants and advising involve spatial optimization, urban sustainability, and environmental modeling. He leads the Center for Earth Systems Analysis Research and has pioneered tools like the Geo-questionnaire for public participation in planning.

Esra Agca Aktuncمشاهده پروفایل

مدرس ارشد

• Optimization
• Simulation
• Data Analytics
• +۵ مورد دیگر

Esra Agca Aktunc serves as a Senior Lecturer in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), teaching core courses including Introduction to ISE, Production and Operations Management, Facilities Design, Operations Research Methods, and Engineering Data Analytics across undergraduate and graduate programs. Her educational qualifications include: Ph.D. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2013) M.Sc. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2011) B.Sc. in Industrial Engineering from Bilkent University (2008) Dr. Agca Aktunc's research integrates optimization, simulation, and data analytics across disaster management, healthcare systems, and energy systems . Her work addresses critical challenges including hospital evacuation logistics, pandemic impacts on energy infrastructure, and natural gas management under uncertainty, employing advanced analytical methods to solve resource-constrained real-world problems in dynamic environments. Publication analysis reveals a strategic research evolution: early work (2013-2019) focused on disaster response logistics and healthcare operations, while recent publications (2020-2025) demonstrate increased specialization in energy systems, particularly electricity and natural gas demand forecasting during crises like the COVID-19 pandemic. This progression highlights her adaptive application of operations research to emerging societal challenges. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not included in the available materials, though her extensive teaching portfolio indicates significant educational contributions.

• Data Science
• Large Language Models
• Business Analytics
• +۵ مورد دیگر

Denghui Zhang is an Assistant Professor in the School of Business at Stevens Institute of Technology. His research focuses on data science, large language models (LLMs), and business analytics, with particular emphasis on applications in financial systems, knowledge graphs, and spatio-temporal prediction. He is a member of the Stevens Institute for Artificial Intelligence and has held academic roles including reviewer positions for prestigious journals like Nature Communications and conferences such as AAAI and SIGKDD. Dr. Zhang holds a PhD in Information Systems from Rutgers University (2023) and an MS in Computer Science from the University of Chinese Academy of Sciences (2018). His educational background bridges computer science and business analytics, enabling his cross-disciplinary research. His research explores cutting-edge topics like federated learning optimization for LLMs, theory-of-mind reasoning mechanisms, and ethical AI governance. Notable contributions include turbulence forecasting models, traffic prediction frameworks, and venture capital investment strategies leveraging reinforcement learning. Dr. Zhang has received prestigious recognitions including the ICIS 2023 Best Student Paper Award and AAAI-23 Student Scholar distinction. His work frequently addresses practical challenges in AI ethics, financial decision-making systems, and scalable machine learning architectures. He actively contributes to academic communities through program committee roles for top conferences and has pioneered novel methodologies in multi-agent financial systems and graph neural network design.

• Robotics
• Autonomous Systems
• Artificial Intelligence
• +۳ مورد دیگر

Brendan Englot is the Anson Wood Burchard Endowed Professor and Director of the Stevens Institute for Artificial Intelligence (SIAI) at Stevens Institute of Technology. He holds a Ph.D., S.M., and S.B. in Mechanical Engineering from MIT. His research focuses on perception, navigation, and decision-making algorithms for mobile robots in complex environments, particularly underwater and autonomous systems. He has held roles such as Professor (2024–present), Associate Professor (2020–2024), and Assistant Professor (2014–2020) at Stevens, and previously worked at the United Technologies Research Center and Yale University. Education: Ph.D., Mechanical Engineering, MIT, 2012 S.M., Mechanical Engineering, MIT, 2009 S.B., Mechanical Engineering, MIT, 2007 Research Interests: Englot’s work emphasizes robust autonomy for unmanned vehicles in degraded conditions, leveraging AI to enhance situational awareness and decision-making under uncertainty. Key areas include navigation algorithms for underwater, aerial, and ground vehicles, sensor fusion, and multi-agent systems. Awards: AMiner’s Top 100 Robotics Scholars (2023, 2024) Provost’s Award for Research Excellence (2021) NSF CAREER Award (2017) ONR Young Investigator Award (2020) Grants & Advising: Englot has secured over $5M in grants as PI, including projects on underwater exploration, reinforcement learning for navigation, and robotic inspection systems. He mentors students in robotics, autonomy, and AI applications. Labs & Teams: Leads the SIAI and collaborates on projects involving autonomous vehicles, SLAM systems, and marine robotics through Stevens’ interdisciplinary initiatives.

Eyran Gischesمشاهده پروفایل

مدرس ارشد

• Behavioral Game Theory
• Behavioral Operations Management
• Interactive Decisions in Networks
• +۳ مورد دیگر

Eyran Gisches is a Senior Lecturer in Management Information Systems at the Eller College of Management , University of Arizona, and serves as Manager of the Organizational Behavior Laboratory. He joined the college in 2010 after completing his PhD at the University of Arizona. PhD in Management Information Systems, University of Arizona Focus on behavioral aspects of game theory, operations management, and network decision-making Teaches foundational and advanced Operations Management courses His research integrates behavioral game theory and network dynamics to study phenomena like social dilemmas in ridesharing, coordination failures in networks, and dynamic pricing under capacity constraints. Publications highlight empirical and theoretical explorations of interactive decisions in complex systems. Recent work emphasizes behavioral operations management , examining how individuals and groups navigate stochastic environments, resource allocation, and strategic pricing. Collaborations with scholars like Rapoport and Mak span topics in revenue management and experimental economics . Teaching Innovation Award (2017) Course Improvement Award (2014) James F. LaSalle Award (2008) As Manager of the Organizational Behavior Laboratory, Gisches contributes to experimental research infrastructure and methodology. His work bridges theoretical game models with real-world applications in transportation and market dynamics.

Volker Grimmمشاهده پروفایل

استاد

• Ecological Modelling
• Agent-Based Modelling
• Pattern-Oriented Modelling
• +۵ مورد دیگر

Prof. Volker Grimm is a Professor in the Department Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His research focuses on developing and applying ecological models to understand complex environmental systems, with a strong emphasis on individual-based and agent-based modelling approaches. Key areas include pattern-oriented modelling for predictive environmental decision-making, ecological theory exploration (e.g., resilience and stability), and model standardization through protocols like ODD. He leads projects such as VIBee (honeybee vitality monitoring) and BioDT (Biodiversity Digital Twin), leveraging AI and simulation models like BEEHAVE and FORMIND. Active in interdisciplinary initiatives like CauSES (causality in sustainability science), Grimm bridges ecological and social sciences. His work addresses global challenges like pesticide risk assessment, invasive species management, and climate change impacts on ecosystems. Notable achievements include the ODD protocol for model documentation, advancing ecological informatics, and contributions to EU projects such as CREAM (pesticide risk assessment) and BioDT (supercomputing for biodiversity). Collaborations span institutions like FORMIND and EcoEpi, with a focus on open-access publishing and model reusability.