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Sergei FedotovView profile

Professor

• Random Walk Theory
• Reaction-Diffusion Systems
• Non-Markovian Processes
• +3 more

Professor Sergei Fedotov is a Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester. He holds a PhD from Ural Federal University (1986) and has held academic positions in London, Aachen, Wuppertal, and Berlin before joining Manchester in 1998. His research focuses on random walk theory, reaction-transport systems, and anomalous transport phenomena with applications to biophysics, nanotechnology, and cancer biology. His expertise includes non-Markovian models, fractional calculus, and interdisciplinary collaborations in areas such as intracellular transport, nanoparticle dynamics, and DNA repair. Fedotov has led major grants, including EPSRC-funded projects on nanoparticle transport in radiotherapy and FAPESP-UoM collaborations on correlated memory in biological systems. He has supervised PhD students including Anna Gavrilova, Daniel Han, and Helena Stage, and collaborates with institutions globally, such as Universitat Autònoma de Barcelona and The Christie Hospital. Key research themes include stochastic models of subdiffusion/superdiffusion, fractional partial differential equations, and the application of statistical mechanics to biological systems. His work contributes to sustainable development goals through advancements in medical physics and environmental modeling. Recent publications explore heterogeneous transport in C. elegans, stochastic water flow dynamics, and the modeling of radiation-induced DNA damage. Fedotov’s team develops novel frameworks to bridge theoretical mathematics with experimental biology, emphasizing the role of memory effects and non-equilibrium processes. Grants managed include the EPSRC £702k project on improving radiotherapy via nanoparticle transport modeling (2021–2025) and the FAPESP-UoM study on correlated memory in biological systems (2018–2022). His work integrates mathematical rigor with experimental validation, addressing challenges in cellular logistics and disease mechanisms.

Joan WalkerView profile

Professor

• Transportation Planning
• Discrete Choice Analysis
• Travel Behavior
• +7 more

Joan Walker is the Department Chair and T.Y. and Margaret Lin Professor of Civil and Environmental Engineering at the University of California, Berkeley. She holds a Ph.D. in Transportation Systems from MIT (2001), an M.S. in Transportation from MIT (1994), and a B.S. in Civil Engineering from UC Berkeley (1991). Prior to UC Berkeley, she served as Director of Demand Modeling at Caliper Corporation and as Assistant Professor of Geography and Environment at Boston University (2004-2008). Walker’s research intersects behavioral modeling, discrete choice analysis, travel behavior, and transportation planning. Her work focuses on enhancing models for transportation decision-making by incorporating social influences, environmental attitudes, and lifestyle factors. She has led major projects on autonomous vehicles, pandemic mobility shifts, and sustainable transportation policy. Presidential Early Career Award for Scientists and Engineers (PECASE) National Science Foundation CAREER Award UC Berkeley Hellman Family Faculty Fund Best Paper Award, AGIFORS Scheduling & Strategic Planning Her students have received numerous accolades including the UCCONNECT Outstanding Student of the Year and Women’s Transportation Seminar Leadership Legacy Scholarships. Walker’s grants include NSF CAREER funding and UC Transportation Center projects. She co-directs the Center for Global Metropolitan Studies and has served as Acting Director of the Institute of Transportation Studies.

Catherine De WolfView profile

Assistant Professor

• Circular Engineering
• Sustainable Construction
• Digital Innovation
• +3 more

Prof. Catherine De Wolf is an Assistant Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering and Deputy Head of the Institute of Construction and Infrastructure Management. She leads the Chair of Circular Engineering for Architecture (CEA), an interdisciplinary lab focused on automating building material reuse through digital innovation. Her work bridges academia, government, and industry, exemplified by partnerships with institutions like the Centre Pompidou and initiatives like Anku and the Digital Circular Economy (DiCE) Lab. She is also a faculty member at ETH Zurich's AI Center and collaborates with EMPA's Urban Energy Systems Lab. Her roles include Chair of the Design++ Advisory Board and PI in the National Centre of Competence in Research on Digital Fabrication (DFAB). Education: Catherine holds a PhD in Building Technology from MIT, with prior studies in Civil Engineering and Architecture at VUB and ULB. She has additional training in documentary filmmaking and postdoctoral research at the University of Cambridge and EPFL's Structural Xploration Lab, funded by Marie Sklodowska-Curie and Swiss Excellence scholarships. Research Interests: Her work centers on digital tools for circular construction, including blockchain-based material passports, AI-driven design, and automated deconstruction planning. Key areas include: Material reuse and lifecycle analysis Building Information Modeling (BIM) applications Decentralized data networks in construction Carbon reduction in structural systems Interdisciplinary collaboration across engineering, architecture, and computer science Awards: Marie Sklodowska-Curie Postdoctoral Fellowship (European Commission) Swiss Excellence Scholarship Advising & Grants: Catherine has overseen projects funded by EU initiatives and industry partnerships. Her research group actively collaborates with firms like Arup and Thornton Tomasetti through initiatives such as the Structural Engineers 2050 Commitment. She advises on policy frameworks like the EU's Level(s) sustainability standard. Labs & Teams: Her CEA lab operates with 20+ researchers and has pioneered tools like the '5D Digital Circular Workflow.' The lab's work is showcased in real-world projects such as the Centre Pompidou material reuse case study.

Athanasios AngeloudisView profile

Associate Professor

• Environmental Fluid Mechanics
• Offshore Renewable Energy
• Coastal Processes
• +4 more

Dr Athanasios Angeloudis is a Reader (Associate Professor) and Director of Impact in the School of Engineering at the University of Edinburgh. He is affiliated with the Institute for Infrastructure and the Environment, leading research on hydro-environmental applications and offshore renewable energy systems. His academic roles include coordinating the Edinburgh Fluid Dynamics Group and serving as a member of NERC’s Peer Review College. Dr Angeloudis holds a PhD in Hydro-environmental Engineering (2014) and an MEng in Civil Engineering (2010) from Cardiff University. He is Chartered with the Technical Chamber of Greece (CEng) and a member of the Institution of Civil Engineers. His research focuses on environmental fluid mechanics, coastal processes, numerical methods, and data analytics. His teaching responsibilities include courses like Civil Engineering Hydraulics and Water Engineering Transport and Treatment . He has secured significant research funding, including the NERC Industrial Innovation Fellowship, and leads projects such as CoTide (tidal stream energy optimization) and ILIAD (maritime data services). Key research contributions span tidal energy systems, climate change impacts on river flows, and computational modeling frameworks like Thetis-SWAN . His work emphasizes collaboration with industry and international partners to advance sustainable energy solutions and environmental resilience.

Yale Z WongView profile

Associate Professor

• Transport Policy
• Transport Planning
• Transport Operations and Management
• +3 more

Dr Yale Z Wong is an Honorary Associate at the University of Sydney’s Institute of Transport and Logistics Studies (ITLS) and Principal at Dr Transportation Pty Ltd, a strategic advisory firm. He also serves as ANZ Market Lead at the Cities Forum. His academic and professional roles focus on transport policy, planning, and innovation, with expertise in Mobility as a Service (MaaS), governance, and institutional reform. Education: PhD from the University of Sydney (Usyd) and PhB(Hons) from the Australian National University (ANU). His research spans MaaS business models, public transport efficiency, and autonomous mobility adoption. He has won awards including the David Willis Prize (2018), ITLS Research Prize (2018), and ITS Young Professional Award (2019). Teaching includes the unit ITLS6103 Sustainable Transport Policy. His work bridges academia and industry, advising governments and private sectors on strategic transport initiatives. He frequently contributes to media discussions on public transport challenges, such as pandemic-related risks and urban mobility innovations.

Noreen McDonaldView profile

Professor

• Transportation Planning
• Urban Planning
• Public Health
• +3 more

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 DonkView profile

Professor

• Supply Chain Management
• Supply Chain Resilience
• Operations Management
• +3 more

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. LimaView profile

Professor

• Robotics
• Multi-Robot Systems
• Autonomous Systems
• +4 more

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 HemmatiView profile

Associate Professor

• Maritime Logistics
• Inventory Routing Problems
• Combinatorial Optimization
• +3 more

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 LeahyView profile

Lecturer

• Wind Energy
• Renewable Energy
• Circular Economy
• +4 more

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 DharmasenaView profile

Associate Professor

• Consumer Economics
• Applied Demand Analysis
• Agribusiness
• +10 more

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. PattersonView profile

Assistant Professor

• Mechanical Design and Design Methods
• Experimental Fracture and Impact Mechanics
• Additive Manufacturing Processes
• +3 more

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 CARVALHOView profile

Associate Professor

• Algorithmic Game Theory
• Operations Research
• Combinatorial Optimization
• +4 more

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. WallachView profile

Professor

• Computer Security
• Cybersecurity
• Electronic Voting Systems
• +3 more

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. MarreroView profile

Assistant Professor

• Machine Learning
• Inferential Statistics
• Stochastic Simulation
• +4 more

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.