جستجوی استاد راهنمای دانشگاهی

Noreen McDonaldمشاهده پروفایل

استاد

• Transportation Planning
• Urban Planning
• Public Health
• +۳ مورد دیگر

Noreen McDonald is a Professor and Senior Associate Dean for Social Science and Global Programs in the College of Arts and Sciences at the University of North Carolina at Chapel Hill. She holds a joint appointment in the Department of City and Regional Planning. Her research focuses on transportation planning, particularly the intersection of infrastructure, technology, and public health. She leads projects addressing urban freight systems, road safety, and healthcare mobility challenges. Key affiliations include the Carolina Transportation Program and the Center for Urban and Regional Studies. Current research initiatives involve optimizing non-emergency medical transport, analyzing parcel delivery impacts, and rethinking traffic impact assessments. She has published extensively on youth travel patterns, school siting policies, and the effects of emerging mobility services on vulnerable populations. Her work bridges academic research and policy application, with a focus on equity and sustainability. She is actively involved in shaping interdisciplinary programs and global partnerships within the university's social sciences division.

Dirk Pieter van Donkمشاهده پروفایل

استاد

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

Prof. Dirk Pieter van Donk is a Professor at the University of Groningen's Faculty of Economics and Business, within the Operations — Management department. He specializes in Supply Chain Management and Resilience, focusing on integration, contextual factors, and performance. His research spans journals like the Journal of Operations Management and has earned awards such as the EurOMA Fellowship Award (2024). Education: PhD in Business Administration (1995), Master's in Econometrics and Business Administration. Research Interests: His work explores supply chain resilience, integration dynamics, and operational challenges in industries like food processing. Key themes include disruption management, critical infrastructure coordination, and sustainable practices in supply networks. Publications: Recent articles address resilience strategies, supply chain collaboration, and infrastructure challenges. His 2025 work on disruption concurrence highlights communication's role in critical infrastructure resilience. Awards: EurOMA Fellowship Award (2024) Outstanding Paper Award (1994) ISM Best Paper Runner-Up (2018) Advising & Grants: Supervisor of over 100 master's theses. Active in projects like NGInfra (2018–2022) and NWO-funded resilience initiatives. Teaches courses on strategic supply chain management and international business. Labs/Teams: Involved in interdisciplinary projects on infrastructure resilience and digital transformation in criminal justice supply chains.

Pedro U. Limaمشاهده پروفایل

استاد

• Robotics
• Multi-Robot Systems
• Autonomous Systems
• +۴ مورد دیگر

Pedro U. Lima is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and President of the Institute for Systems and Robotics (ISR/IST), coordinating the Intelligent Robots and Systems group (IRSg). He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994). His research focuses on intelligent control systems, multi-robot coordination, and human-robot interaction, with contributions to robotics competitions like RoboCup and initiatives like the European Robotics League (E.R.L.). Lima has served as Vice President of the RoboCup Federation, Trustee of IEEE Portugal RAS Chapter, and Portuguese National Delegate to the European Space Agency’s Human Spaceflight Program Board. He led the Cátedra de Excelencia sabbatical at UC3M (2010), contributing decision-theoretic approaches to human-robot interaction. His work integrates robotics with societal impact, including outreach through the Pavilhão do Conhecimento and media appearances. He coordinates large projects like euROBIN (EU Horizon Europe) and CRAI (Portugal’s PRR), advancing robotics in domains like autonomous delivery and social robotics.

Ahmad Hemmatiمشاهده پروفایل

دانشیار

• Maritime Logistics
• Inventory Routing Problems
• Combinatorial Optimization
• +۳ مورد دیگر

Dr. Ahmad Hemmati is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on optimization models and algorithms for logistics, transportation, and maritime systems. He holds a PhD from the Norwegian University of Science and Technology (NTNU) in 2015. His work addresses challenges in inventory routing, drone delivery systems, and combinatorial optimization using methods like reinforcement learning and metaheuristics. Key contributions include models for maritime cargo optimization, synchronized truck-drone delivery, and feeder network design. He has collaborated internationally with institutions like MIT and the University of Antwerp. His findings are published in journals such as European Journal of Operational Research and Computers & Operations Research , with a focus on practical solutions for industrial logistics problems. Education: PhD in Operations Research (NTNU, 2015). Research Interests: Maritime Logistics, Inventory Routing Problems, Combinatorial Optimization, Drone Delivery Systems, and Algorithm Design. His work bridges theoretical models with real-world applications in transportation networks and sustainability. Publications Trends: Recent articles emphasize deep reinforcement learning applications and maritime environmental monitoring. Earlier work includes foundational contributions to tramp shipping and VMI service routing. His methodologies often blend heuristic algorithms with mathematical programming. Grants/Awards: No specific awards mentioned, but his work has been funded by the Research Council of Norway and industry collaborations.

Paul Leahyمشاهده پروفایل

مدرس

• Wind Energy
• Renewable Energy
• Circular Economy
• +۴ مورد دیگر

Dr. Paul Leahy is a Lecturer in Wind Energy Engineering at University College Cork (UCC) and a funded investigator in the SFI MaREI Centre for Energy, Climate, and Marine Research. He leads research on wind energy, circular economy applications for decommissioned turbine blades, and climate change impacts. His work includes the Re-Wind project, a transdisciplinary initiative funded by SFI, NSF, and Northern Ireland's Department for the Economy. He co-supervises six PhD students and has examined over 20 theses globally. Education: BE Electrical Engineering (1995), PhD Electrical Engineering (2001), Postgraduate Certificate in Teaching & Learning in Higher Education (2018). Research & Awards: Research focuses on wind energy forecasting, energy storage, and greenhouse gas emissions. Notable awards include the Environmental Research Letters' 2013 Highlight and an ISI Highly Cited Paper (2012). He contributed to IPCC Special Reports on climate change mitigation and co-edits Renewable & Sustainable Energy Reviews. Grants & Projects: Secured €320,000 for Re-Wind and led multiple EU, EPA, and industry-funded projects. Current research includes lifecycle assessments of repurposed turbine blades and hydrogen production via offshore wind. Teaching & Outreach: Coordinates modules like NE6003 Wind Energy Engineering and contributes to energy systems education. Engages in public lectures and policy initiatives like Energy Cork Cluster leadership. Labs & Teams: Collaborates with multidisciplinary teams on infrastructure repurposing (e.g., BladeBridges) and climate adaptation strategies for agriculture and peatlands.

Senarath Dharmasenaمشاهده پروفایل

دانشیار

• Consumer Economics
• Applied Demand Analysis
• Agribusiness
• +۱۰ مورد دیگر

Senarath Dharmasena is an Instructional Associate Professor at the Department of Agricultural Economics within the College of Agriculture & Life Sciences at Texas A&M University. He holds a Ph.D. in Agricultural Economics from Texas A&M University and an undergraduate degree in Agriculture from the University of Peradeniya. His research focuses on consumer economics, applied demand analysis, agribusiness, and food market dynamics. Dr. Dharmasena’s work explores complex economic systems, including food price inflation, rural land market valuation, and the impact of macroeconomic factors on food security. He employs advanced methodologies like causal inference, machine learning, and hedonic pricing models. His recent publications analyze U.S. demand patterns for alternative food products, energy drinks, and agricultural aviation industry economics. As an associate editor for the Journal of Agribusiness in Developing and Emerging Economies (JADEE), he contributes to academic discourse. His affiliations include Texas A&M AgriLife Extension Service and the Agribusiness, Food and Consumer Economics Research Center (AFCERC). His research integrates socioeconomic factors with food policy implications, emphasizing practical applications in agriculture and consumer behavior.

Albert E. Pattersonمشاهده پروفایل

استادیار

• Mechanical Design and Design Methods
• Experimental Fracture and Impact Mechanics
• Additive Manufacturing Processes
• +۳ مورد دیگر

Albert E. Patterson is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University's College of Engineering. He is also affiliated with Materials Science & Engineering, Mechanical Engineering, and Multidisciplinary Engineering. His research focuses on mechanical design methods, additive manufacturing processes, and fracture mechanics. He holds a Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign (2021), an M.S. in Industrial Engineering (2014), and a B.S. in Mechanical Engineering (2013), both from the University of Alabama in Huntsville. Key research areas include design under manufacturability constraints, additive manufacturing (e.g., FDM/FFF, SLS, SLM), and systems engineering for manufacturing and aerospace applications. His work emphasizes optimizing material properties, process-driven constraints, and sustainable manufacturing practices. Dr. Patterson leads the Manufacturability-Driven Design Lab (MDDL), exploring topics like additive manufacturing for energetic materials, repair strategies for plastic components, and energy-efficient production systems. He has contributed to over 60 publications on fracture mechanics, material characterization, and manufacturing systems optimization. His research integrates experimental methods with computational modeling to address challenges in design, manufacturability, and sustainability.

Margarida CARVALHOمشاهده پروفایل

دانشیار

• Algorithmic Game Theory
• Operations Research
• Combinatorial Optimization
• +۴ مورد دیگر

Margarida Carvalho is an Associate Professor in the Department of Computer Science and Operations Research at Université de Montréal. She holds the FRQ–IVADO Research Chair in Data Science for Combinatorial Game Theory and was awarded the 2018 EURO Doctoral Dissertation Award. Her research integrates algorithmic game theory and integer programming to address strategic decision-making challenges in healthcare, urban planning, and sustainability. Education: Bachelor's and Master's in Mathematics PhD in Computer Science (Universidade do Porto, 2016) Postdoctoral Fellow at Polytechnique Montréal (2017) Research Interests: Algorithmic Game Theory and Combinatorial Optimization Applications in Kidney Exchange Programs, EV Infrastructure, and Urban Decision-Making Development of fair and scalable optimization frameworks Awards & Grants: FRQ–IVADO Research Chair (2018–present) Teaching Excellence Award (2024) Lead on projects funded by CRSNG, MITACS, and Fonds de recherche du Québec Lab & Collaborations: Member of CIRRELT, CRM, Mila, and the AI Cybersecurity Lab (talents). Her team focuses on interdisciplinary solutions for complex socio-economic systems.

Dan S. Wallachمشاهده پروفایل

استاد

• Computer Security
• Cybersecurity
• Electronic Voting Systems
• +۳ مورد دیگر

Dan S. Wallach is a Professor of Computer Science and Electrical and Computer Engineering at Rice University, and a Program Manager at DARPA's Information Innovation Office since June 2023. He holds a PhD (1999) and MA (1995) from Princeton University, and a BS (1993) from UC Berkeley. His research focuses on cybersecurity, electronic voting systems, and mobile security. He directed the NSF-funded ACCURATE Center (2005-2011), led the STAR-Vote project, and advised U.S. election security policies including testifying before state and federal committees. He also served on the Air Force Science Advisory Board (2011-2015), USENIX Board (2011-2013), and IEEE Technical Guidelines Committee (2019-2023). Recent work includes developing ElectionGuard cryptographic tools for verifiable elections and analyzing cyber warfare in Ukraine. His 15+ years of teaching include courses like Introduction to Program Design and Election Systems Technologies. Publications span secure voting protocols, smartphone security, and election auditing. Collaborations include Microsoft and VotingWorks on cryptographic voting systems like ElectionGuard and Arlo-CVR-Encryption.

Wesley J. Marreroمشاهده پروفایل

استادیار

• Machine Learning
• Inferential Statistics
• Stochastic Simulation
• +۴ مورد دیگر

Dr. Wesley J. Marrero is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering. He holds core affiliations with the Health Equity and Advocacy Lab at The Dartmouth Institute for Health Policy and Clinical Practice and is a faculty affiliate in the Quantitative Biomedical Sciences Graduate Program at the Geisel School of Medicine. His research integrates operations research and statistics to address healthcare challenges in substance use disorder, cardiovascular disease, and organ transplantation, collaborating with institutions like Massachusetts General Hospital and the University of Michigan. Dr. Marrero received a B.S. in Industrial and Management Engineering from the University of Turabo (2014), an M.S. in Industrial and Operations Engineering (2017), an M.A. in Statistics (2021), and a Ph.D. in Industrial and Operations Engineering (2021) from the University of Michigan. His research focuses on stochastic simulation and optimization for decision-making in healthcare. Key areas include machine learning applications in predictive modeling, inferential statistics for medical decisions, and sequential decision-making frameworks for health policy optimization. His work emphasizes practical implementations in clinical settings and health systems. Dr. Marrero's publications demonstrate a consistent focus on healthcare optimization, with recent trends in machine learning for organ transplantation and genetic testing strategies. His articles frequently appear in high-impact journals and conference proceedings, reflecting interdisciplinary collaborations. Awards: INFORMS MIF Best Paper Award (2024) INFORMS Annual Meeting Minority Issues Forum Poster Competition Best Poster Award (2020) INFORMS Judith Liebman Award (2020) National Science Foundation Graduate Research Fellowship (2017) Michigan Student Symposium Best Poster Award (2017) Rackham Merit Fellowship (2015) He actively advises graduate and undergraduate students, with current PhD candidates in engineering and biomedical sciences. His research group has secured grants from organizations including the National Science Foundation and the American Medical Association. Dr. Marrero leads a dynamic research group focusing on healthcare decision analytics. He collaborates with medical institutions and government agencies, including the U.S. Department of Veterans Affairs, to translate research into clinical practice.

• Transportation Engineering
• Urban Planning
• Traffic Management
• +۳ مورد دیگر

Dr. Lum Kit Meng is an Associate Professor at the School of Civil and Environmental Engineering, NTU, Singapore. His expertise spans Transportation Engineering, Urban Planning, and Traffic Management. He holds First Class Honors in Civil Engineering (NUS), a Master’s in Industrial Engineering (NUS), and a PhD in Transportation Engineering. Dr. Lum teaches undergraduate/postgraduate courses in Civil Engineering, Maritime Studies, and Logistics, and develops training programs for professionals. His research focuses on urban mobility, active mobility infrastructure, and traffic safety, with over 60 publications. He has provided consultancy services to public/private sectors, emphasizing data-driven analysis. Key research areas include pedestrian behavior, cycling facility design, and shared space dynamics. Recent studies explore 'keep left' regulations, e-scooter speed attitudes, and red-light camera impacts using simulation and VR techniques. His work bridges theoretical models (e.g., cellular automata) with practical infrastructure solutions. No awards or grants are explicitly listed, but his extensive publications and consultancy highlight industry-academic collaboration. He advises on transportation systems with a focus on Singapore’s urban challenges.

Xin Gaoمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Statistical Genetics
• +۵ مورد دیگر

Xin Gao is a Professor in the Department of Mathematics and Statistics at York University, Toronto. His research focuses on Artificial Intelligence , Machine Learning , and Statistical Genetics , with applications in biomedical data analysis and planetary science. He leads the Artificial Intelligence and Machine Learning Lab , which has developed impactful tools like an online Type 2 Diabetes risk predictor using logistic regression and Mars rock composition analyzers for NASA. His methodological work includes penalized composite likelihood and multi-task feature learning , implemented in R packages FusionLearn and lassoGEE . Scientific Awards NSERC Discovery Acceleration Award ($120,000, 2018-2020) Key Software Contributions FusionLearn : Correlated multi-task feature learning lassoGEE : High-dimensional clustered/longitudinal data analysis Notable Collaborations Vector Institute (AI scholarship mentoring) Fields Institute (committee roles) International genomic data integration projects

• Entrepreneurial Ecosystems
• Business Administration
• Higher Education Innovation
• +۵ مورد دیگر

Marianne Kallaste is a Lecturer at Tallinn University of Technology (TalTech), School of Business and Governance, Department of Business Administration. She serves as Programme Director for International Business Administration (0.20 FTE) and has held various roles including Lecturer, Research Fellow, and project coordinator. Education: Master's Degree (2011) in Organizational Culture from TalTech; PhD studies (interrupted) in Entrepreneurial Ecosystems Research Focus: Entrepreneurial ecosystems, problem-based learning, university-business collaboration, SME internationalization Project Leadership: Currently leads 'Digital-Physical Hybrid Architecture of Entrepreneurial Ecosystem' (2025-2029, €116,518) Her work emphasizes transforming higher education through entrepreneurial mindsets and cross-disciplinary approaches. She has co-authored 15+ publications analyzing Estonian entrepreneurship ecosystems, university innovation capacity, and open innovation strategies in post-socialist contexts. Scientific Awards: 2024 TalTech Department of Business Administration award for academic innovation in large research project submissions As project leader for multiple EU-funded initiatives (e.g., BeComE, INNOLAB), she bridges academia and industry while serving on the Estonian Economic Association and Estonian Andragogy Association.

Mouhamad Shaker Ali Aghaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Industry 4.0
• Supply Chain Risk and Resilience Analysis
• +۴ مورد دیگر

Dr. Mouhamad Shaker Ali Agha is a Senior Teaching Fellow (Associate Professor, Scholarship Track) in the Department of Management Science at the University of Strathclyde, where he earned his PhD and MSc. He specializes in operations management, enterprise resource planning (ERP), and technical risk management, serving as Programme Director for the MSc Business Analysis and Consulting and the International Master in Project Management (IMPM). A Senior Fellow of the Higher Education Academy (UK) and a Certified Management & Business Educator, he focuses on supply chain risk and resilience, digital supply chains, Industry 4.0, and renewable energy sector challenges. His research has been recognized through awards like the Strathclyde Business School Excellence Teaching Award (2022) and the 2024 Supply Chain and Logistics Competition Second Place Award. He actively supervises six PhD students, emphasizing real-world applications of research. His work includes collaborative projects on Industry 4.0 adoption barriers for SMEs and virtual reality in education, supported by grants such as the EPSRC-funded DTP 2224 project (2025–2028). He also contributes to professional activities like peer reviewing for journals and conferences. Education: PhD and MSc in Management Science from the University of Strathclyde. Research Interests: Supply chain resilience, digital transformation in supply chains, renewable energy sector logistics, and operational innovation. His work intersects with UN Sustainable Development Goals related to industry, innovation, and infrastructure (SDG 9) and climate action (SDG 13). Grants & Projects: Co-investigator in the EPSRC DTP 2224 project (2025–2028) and principal investigator in the Virtual and Physical Reality in Operations Management project (2023–2024). Collaborates with institutions like the FUTO Centre of Excellence in Sustainable Procurement. Awards: Highlighted awards include the 2024 Certified Management & Business Educator, 2022 Teaching Excellence Award, and recognition as a Senior Fellow of the Higher Education Academy (2021).

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۲ مورد دیگر

Krister Wolff is an Associate Professor of Adaptive Systems at the Department of Mechanics and Maritime Sciences (M2) at Chalmers University of Technology. He also serves part-time as Vice Head of Department for Education. His research focuses on applying artificial intelligence, machine learning, and bio-inspired methods to robotics, autonomous systems, and self-driving vehicles. He teaches in the international Master's program in Complex Adaptive Systems. His work includes projects such as AI-supported vehicle suspension design, propeller optimization using genetic algorithms, and developing interactive robots for social distancing in healthcare settings. He has contributed to over 39 publications and 9 research projects, collaborating with organizations like VINNOVA and the Swedish Transport Administration. Notable projects include ISOLDE for hospital robots and Tactical Decision-Making in Autonomous Driving funded by the Wallenberg Foundation. Key areas of expertise include reinforcement learning for autonomous vehicles, evolutionary algorithms in design optimization, and driver behavior modeling in critical scenarios. His research bridges theory and practical applications, emphasizing collaboration between academia and industry.