جستجوی استاد راهنمای دانشگاهی

• Electric Machines and Drives
• Power Systems
• Integration of Renewable Energy Sources
• +۵ مورد دیگر

Dionysios Aliprantis is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering. His research focuses on electric machines and drives, power systems, integration of renewable energy sources, electric transportation, and smart grids. He holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens (1999) and a PhD from Purdue University (2003). His work emphasizes advancing dynamic wireless power transfer technologies, microgrid stability, and optimal power flow methodologies. Recent contributions include full-scale testing of pavement-embedded charging systems and predictive control strategies for grid resilience. Dr. Aliprantis' research bridges computational electromagnetics with practical energy systems, addressing challenges in electric vehicle infrastructure and renewable energy integration. He leads projects on real-time charging control, fault detection, and robust grid operations under high uncertainty. Notable projects include pilot implementations of dynamic wireless power transfer lanes and agent-based modeling for smart grid functionality. His collaborations span academia, industry, and government, aiming to enhance grid resilience and support sustainable transportation systems. Dr. Aliprantis' work is supported by grants focusing on energy-transportation system interdependencies and advanced power electronics curricula.

Tianyi Liمشاهده پروفایل

استادیار

• Human-AI Collaboration
• Crowdsourcing
• Sensemaking
• +۴ مورد دیگر

Tianyi Li is an Assistant Professor in the Department of Computer and Information Technology at Purdue University, part of the Purdue Polytechnic Institute. Her research focuses on human-AI collaboration, crowdsourcing, and sensemaking, with applications in domain-specific decision-making. She holds a Ph.D. in Computer Science from Virginia Tech (2020) and a B.Eng. from the University of Hong Kong (2015), with additional studies at UC San Diego and Shanghai Jiao Tong University. Dr. Li's work integrates design, experimental, and computational methods to enhance collective intelligence through crowdsourcing and improve human-AI interaction. She has received an NSF IUSE Award (2023) and contributed to projects like the Event Detection Explorer and Purposeful AI initiatives. Her teaching includes courses on database programming, web development, and discrete structures. Research Grants: NSF IUSE Award for fostering culturally relevant programming learning experiences (2023) Professional Experience: Former Assistant Professor at Loyola University Chicago, and roles at Microsoft Research AI, Cloudera, and Informatica Her lab explores tools for computer-supported cooperative work, including visual analytics for hyperparameter tuning and crowd-based sensemaking systems. Current research emphasizes inclusive learning content development and human-centric AI interaction patterns.

• System-of-Systems Engineering
• Aerospace Systems Design
• Network Theory
• +۵ مورد دیگر

Daniel DeLaurentis is the Bruce Reese Professor of Aeronautics and Astronautics at Purdue University, serving as Chief Scientist of the Department of Defense Systems Engineering Research Center UARC and Vice President for Research Institutes and Centers at the Purdue Discovery Park District. He holds a B.S. (1992) and M.S. (1993) from the Florida Institute of Technology, and a Ph.D. (1998) from Georgia Institute of Technology, all in Aerospace Engineering. His research focuses on system-of-systems engineering, including design methods for autonomous systems, aerospace systems synthesis, and network theory applications. Key interests include robust design frameworks, advanced aerial mobility concepts, and policy analysis for aviation sustainability. He has pioneered methodologies for modeling complex systems such as lunar exploration architectures, air traffic networks, and multi-modal transport systems. Education: B.S., Florida Institute of Technology, Aerospace Engineering, 1992 M.S., Georgia Institute of Technology, Aerospace Engineering, 1993 Ph.D., Georgia Institute of Technology, Aerospace Engineering, 1998 Dr. DeLaurentis has received prestigious awards including AIAA and INCOSE Fellowships, the C.T. Sun Research Award (2012), and the Kevin Corker Award (2007). His work spans academic leadership, federal research roles, and impactful contributions to system-of-systems methodologies. He leads initiatives in agent-based modeling, network restructuring for air traffic, and policy analysis for aviation emissions reduction. His research also integrates interdisciplinary approaches, exploring synergies between industrial ecology and systems engineering in complex systems like air transportation networks. He collaborates on projects addressing humanitarian infrastructure optimization, pandemic transmission modeling, and space exploration architectures.

• Sustainable Cities
• Systems Engineering
• Infrastructure
• +۷ مورد دیگر

Dr. Ges Rosenberg is a Research Fellow at the University of Bristol's School of Electrical, Electronic and Mechanical Engineering. With qualifications including a BEng, PG Dip(Lond.), and PhD(Bristol), their expertise focuses on applying systems thinking and engineering to address complex sociotechnical and environmental challenges, particularly in sustainable cities, infrastructure resilience, and urban development. Their work emphasizes interdisciplinary collaboration, co-production methodologies, and policy design for net-zero transitions and decarbonisation. Education: BEng (undergraduate degree) PG Dip (London-based postgraduate diploma) PhD from the University of Bristol Research interests span systems engineering, urban futures, sustainable development, and the integration of technology with socio-technical systems. Key themes include resilience planning, equitable urban development, and the application of systems science to global challenges like climate change and pandemic risk. Recent projects include the DECIDE decision support system for urban planning and the TRUUD consortium tackling unhealthy urban development. Publications highlight innovative frameworks for stakeholder engagement, infrastructure interdependencies, and digital strategies for smarter cities. Collaborations with academics like Dr. Paul Harper and Emeritus Professor Colin Taylor underscore their interdisciplinary approach to complex problem-solving. Their work bridges academic research with real-world policy and infrastructure interventions.

Connel Fullenkampمشاهده پروفایل

استاد

• Financial Market Regulation
• Economic Policy
• Climate Economics
• +۴ مورد دیگر

Connel Fullenkamp is a Professor of Economics at Duke University's Trinity College of Arts & Sciences, serving as Director of Undergraduate Studies since 2019. His research focuses on financial market regulation, climate economics, biodiversity conservation, and the macroeconomic impacts of remittance flows. He holds a Ph.D. from Harvard University (1992), alongside an M.A. (1989) and B.A. (1987) from Harvard and Michigan State University respectively. His work bridges environmental and financial systems, proposing nature-based solutions to climate change through valuing wildlife carbon services. Notable projects include frameworks linking elephant and whale conservation to carbon mitigation, and analyzing remittance effects in fragile states. Recent grants include a National Science Foundation-funded project on climate adaptation decision-making. Publications span climate policy, biodiversity financing, and remittance economics in journals like Frontiers in Climate and Nature Climate Change. He emphasizes integrating ecological and economic systems, advocating for innovative financing mechanisms to address both conservation and climate challenges.

Leon Mosesمشاهده پروفایل

استاد

• Microeconomics
• Transportation Economics
• Urban Economics
• +۴ مورد دیگر

Leon Moses (1924-2013) was a distinguished Professor of Economics at Northwestern University, holding a joint appointment with the Transportation Center until his retirement in 2005. He served as Chair of the Department of Economics (1970-72) and Director of the Transportation Center (1974-79). His research focused on transportation economics, urban development, and regional science. Moses held academic positions at Harvard, Kellogg School of Management, and held visiting roles at institutions worldwide. He was recognized for teaching excellence and received awards including the 1995 Outstanding Research Paper Award and Honor Roll for Teaching (1980, 1981). Education: B.A., Ohio State University (1945); M.A. and Ph.D., Harvard University (1950, 1952). Research Interests: Moses specialized in microeconomics, transportation regulation, urban economics, and spatial theory. His work explored firm location, transportation costs, and the interplay between economic activity and infrastructure. Notable contributions include studies on airline safety post-deregulation and motor carrier safety audits. Grants & Conferences: Moses led projects funded by the U.S. Department of Transportation, Army Engineers, and industry. He organized pivotal conferences on transportation deregulation, safety, and hazardous materials logistics. Key outputs include Transportation Safety in an Age of Deregulation (1989) and Transportation of Hazardous Materials (1993). Awards: 1964 Foundation Fellowship Rockefeller Foundation Fellowship (1969) President, Regional Science Association (1972) Outstanding Research Paper Award (1995) Labs/Teams: Central to the Transportation Center’s research, Moses collaborated with institutions like the Kellogg School and the University of Illinois. His work bridged academia, policy, and industry, influencing transportation and urban planning frameworks.

Fenghui Renمشاهده پروفایل

مدرس ارشد

• Multi-Agent Systems
• Reinforcement Learning
• Machine Learning
• +۳ مورد دیگر

Fenghui Ren is a Senior Lecturer at the University of Wollongong's School of Computing and Information Technology. Previously, he served as a Lecturer there from 2022 to 2024. He holds a Ph.D. in Computer Science from the University of Wollongong. His research focuses on multi-agent systems, reinforcement learning, and their applications in distributed environments, emergency response, and social network analysis. Ren has secured significant funding, including grants from the Connectivity Innovation Network and the Baosteel-Australia Joint Research and Development Centre. He has been recognized with the Australian Research Council Discovery Early Career Researcher Award (DECRA) in 2014. His work addresses challenges in decentralized resource allocation, resilient telecommunication systems, and smart grid optimization. Ren’s research integrates techniques like hierarchical reinforcement learning, agent-based modeling, and adversarial training to solve complex real-world problems. He actively contributes to conferences and journals, including IEEE Transactions on Cybernetics. Current supervision includes projects on AI-driven financial document extraction, TikTok video propagation prediction, and depression detection through speech analysis. Ren’s funding projects include developing multi-agent systems for telecommunication resilience and BDI agent frameworks for steel industry logistics. His work emphasizes scalability, adaptability, and real-world impact in domains like emergency management and distributed computing. He is a member of the IEEE and has reviewed for multiple prestigious journals.

James Doss-Gollinمشاهده پروفایل

استادیار

• Climate Adaptation
• Hydroclimatic Dynamics
• Water Systems Design
• +۵ مورد دیگر

James Doss-Gollin is an Assistant Professor in the Department of Civil and Environmental Engineering at Rice University. His research focuses on hydroclimatic dynamics, infrastructure resilience, and climate adaptation, leveraging statistical modeling, operations research, and physics-based approaches. He leads the Doss-Gollin Research Group, addressing challenges in water systems design, extreme rainfall modeling, and renewable energy systems optimization. Education: Postdoctoral Scholar at Pennsylvania State University (2020–); Ph.D. in Earth and Environmental Engineering from Columbia University (2020); M.S. and B.S. in Mechanical/Environmental Engineering from Columbia and Yale. Research Interests: Statistical-dynamical modeling of atmospheric rivers, decentralized water-energy systems resilience, and optimizing renewable energy storage. Key themes include quantifying climate adaptation risks, nonstationary rainfall trends, and infrastructure vulnerability under climate change. Awards: NSF Graduate Research Fellowship, Columbia Themelis Fellowship, and multiple Yale travel awards. Current grants include NSF funding for flood resilience studies in rural Texas. Advising: Mentors Yuchen Lu, a Ph.D. candidate studying nonstationary hydroclimate extremes. Collaborates on projects like TxRAIN and AGU conference sessions on multi-sector dynamics and urban flood risk. Labs/Teams: Directs the Doss-Gollin Lab, advancing methods for spatially resolved climate risk assessment and participatory design of water infrastructure systems.

Vasco M. Carvalhoمشاهده پروفایل

دانشیار

• Macroeconomics
• Networks
• Applied Econometrics
• +۲ مورد دیگر

Vasco M. Carvalho serves as University Reader (equivalent to Associate Professor) and Senior Keynes Fellow in the Faculty of Economics at the University of Cambridge, where he is also a Fellow of Jesus College. He coordinates the Cambridge-INET institute and leads major research initiatives on production networks and macroeconomic dynamics. His academic trajectory spans prestigious institutions including the University of Chicago and Universitat Pompeu Fabra, with current research focusing on how sectoral interdependencies propagate economic shocks. His educational background includes: PhD in Economics, University of Chicago MA in Economics, University of Chicago MPhil in Economics, University of Cambridge BA in Economics, Technical University of Lisbon Carvalho's research centers on macroeconomics with groundbreaking work in production networks and sectoral interdependence . He pioneered the network-based approach to understanding how microeconomic shocks cascade through input-output structures to generate aggregate fluctuations, fundamentally changing macroeconomic analysis. His methodology combines advanced econometrics with large-scale economic data, revealing how supply chain architectures determine vulnerability to disasters and policy impacts. Recent work extends this framework to pandemic responses using high-frequency transaction data, demonstrating real-time economic monitoring capabilities. Analysis of his publication trends shows consistent focus on network theory applications to macroeconomics, with increasing emphasis on real-time data analytics during crises. His work bridges theoretical modeling and empirical validation, particularly in disaster economics and policy evaluation. The shift toward high-resolution data since 2020 reflects urgent pandemic-related research needs while maintaining his core network economics framework. His scientific recognition includes: British Academy Wiley Prize in Economics (2014) for early-career achievement Philip Leverhulme Prize in Economics European Research Council Starting Investigator Grant for 'MacroNets: Production Networks in Macroeconomics' Senior Keynes Fellowship As Principal Investigator of the €1.5M ERC grant 'MacroNets', Carvalho directs a multidisciplinary team investigating production network structures and their macroeconomic implications. His pandemic-related research secured rapid-response funding for high-frequency economic tracking, demonstrating exceptional grant acquisition capabilities. He actively mentors junior researchers through the Cambridge-INET institute and Jesus College, though specific student names aren't publicly documented. His advisory role extends to policy institutions seeking network-based economic modeling. Carvalho operates at the Cambridge-INET institute hub, collaborating with economists, data scientists, and network theorists. His 'MacroNets' project has established Cambridge as a global center for production network research, with partnerships spanning CREI Barcelona, European central banks, and international statistical agencies. Current work focuses on dynamic network modeling for disaster preparedness and real-time economic monitoring infrastructure.

• Transport Network Resilience
• Civil Engineering
• Probability Analysis
• +۷ مورد دیگر

Beatriz Martinez-Pastor is an Assistant Professor in the School of Civil Engineering at University College Dublin (UCD). Her roles include teaching and coordinating modules such as Transport Modelling, Transportation Engineering, and Civil Engineering Design Graphics. She holds a PhD from Trinity College Dublin and an MSc from the University of Cantabria, complemented by a Professional Certificate in University Teaching and Learning from UCD. Her research focuses on transport network resilience, particularly in quantifying system behavior under disruptions like natural disasters and cyber-physical attacks. Key areas include probabilistic analysis, data-driven modeling, and infrastructure vulnerability assessment. She has contributed to frameworks for evacuation planning, cyber-physical system robustness, and flood adaptation strategies. Her articles highlight advancements in accident analysis methods, cyber-physical resilience, and multi-objective optimization for disaster scenarios. Notable grants include the Horizon Europe-funded SETO project (2023–2026) and CAPABLE (2023–2024), addressing transport enforcement and community resilience. Martinez-Pastor has received the Excellence Award (2019) and serves on committees like the TRB Committee on Critical Infrastructures. Her work bridges academic research with practical applications in disaster management, cybersecurity, and sustainable infrastructure.

• Obesity
• Metabolic Diseases
• Constitutional Thinness
• +۳ مورد دیگر

Dr. Werd Al-Najim is a Research Fellow and Research Project Manager at University College Dublin's School of Medicine, affiliated with the Conway Institute. She holds a PhD from Imperial College London (UK) and a bachelor's degree in Nutrition Science from Kingston University (UK). Her work integrates clinical research, public health education, and media engagement, including TV programs and a health-focused social media platform with 113k followers. Her research focuses on obesity pharmacotherapy, metabolic diseases, and nutritional interventions, emphasizing safe, holistic patient outcomes. Key projects include the STRIVE trial evaluating liraglutide efficacy and the OTID trial exploring GLP-1/SGLT2 inhibitor combinations for type 1 diabetes. She also addresses systemic challenges in healthcare systems, such as Iraq's pharmaceutical infrastructure post-war. Dr. Al-Najim's articles emphasize nutritional risks of obesity medications, weight loss maintenance pathways, and behavioral factors influencing patient treatment choices. Her work bridges clinical practice with public education, advocating for dietitian-led strategies to improve adherence and safety. Grants include the Enterprise Partnership Scheme (2018–2020) and collaborations with Novo Nordisk A/S. Notable contributions include studies on meal replacement efficacy, choline deficiency in diabetes, and the role of satiety hormones like LEAP2. She collaborates globally, co-leads health communication initiatives, and emphasizes long-term health gains over sole focus on weight metrics.

Besarta Veseliمشاهده پروفایل

استادیار

• Social Innovation
• Social Marketing
• Prosocial Behavior
• +۳ مورد دیگر

Dr. Besarta Veseli is an Assistant Professor and Post-Doctoral Researcher at the Chair of Marketing & Media, University of Hamburg Business School. She holds a Ph.D. (Dr. rer. oec.) in Business Administration from the University of Hamburg (2023), a Master of Science in Marketing (2017), and a Bachelor of Science in Statistics (2013). Her research focuses on social innovation, prosocial behavior, blood donation marketing, and automated communication through smart speakers. Education: Ph.D. in Business Administration, University of Hamburg, 2023 M.Sc. in Business Administration (Marketing), University of Hamburg, 2017 B.Sc. in Business Administration (Statistics), University of Hamburg, 2013 Research interests span social marketing, donor management, and the psychological drivers of prosocial behavior. Recent work examines pandemic communication strategies, plasma donation incentives, and the societal impact of smart speaker technology. She has supervised numerous bachelor’s and master’s theses. Her articles address critical issues like pandemic trade-offs, music streaming adoption, and blood donation retention. She has no listed scientific awards but has contributed to impactful research in health and technology sectors. Teaching responsibilities include media management, eBusiness, and social psychological theories in marketing. Practical experience includes roles at Apple UK, XING, and Warner Music.

Mohammad Marufuzzamanمشاهده پروفایل

دانشیار

• Supply Chain Optimization
• Renewable Energy Systems
• Stochastic Programming
• +۷ مورد دیگر

Mohammad Marufuzzaman is an Associate Professor and Department Head in the Department of Industrial & Systems Engineering at Mississippi State University (MSU), holding the Charles R. Stephenson Endowed Professorship. He joined the faculty in 2014 as a Visiting Assistant Professor before advancing to his current role. His research focuses on supply chain optimization with applications in renewable energy, stochastic programming, decomposition methods, and risk management. Dr. Marufuzzaman holds a Ph.D. in Industrial & Systems Engineering from MSU (2014), an MASc in Industrial Systems Engineering from the University of Regina, Canada (2010), and a B.Sc. in Industrial & Production Engineering from Shah Jalal University of Science & Technology, Bangladesh (2006). His work bridges theoretical optimization techniques with practical applications in energy systems, disaster logistics, and sustainable infrastructure. His research interests span renewable energy supply chains, large-scale network design, and resilience engineering. Notable contributions include predictive models for wood chip moisture content using machine vision, disaster response frameworks for hurricane-impacted regions, and optimization models for electric vehicle infrastructure. His publications appear in leading journals such as Transportation Science and Computers & Operations Research . Dr. Marufuzzaman is a member of INFORMS and IIE. His recent work emphasizes interdisciplinary solutions for complex systems, including military base modernization, marine debris management, and IoT-enabled energy systems. He has developed novel algorithms for stochastic optimization problems and contributed to policy-relevant research on biomass energy utilization in rural regions.

Yong Fuمشاهده پروفایل

استاد

• Power Systems Optimization
• Energy Infrastructure Interdependencies
• Renewable Energy Applications
• +۵ مورد دیگر

Yong Fu is a Professor and Tennessee Valley Authority (TVA) Endowed Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), affiliated with the Bagley College of Engineering. His research focuses on power systems optimization, renewable energy integration, and smart grid technologies. He holds a Ph.D. from Illinois Institute of Technology (2006), and M.S. and B.S. degrees from Shanghai Jiao Tong University (2002 and 1997, respectively). His research interests include energy infrastructure interdependencies, electric ship power systems, and high-performance computing applications in power system operations. Recent work emphasizes resilient voltage management, price forecasting with machine learning, and microgrid protection strategies. He has contributed to over 50 peer-reviewed articles addressing challenges in smart grid resilience, renewable integration, and grid security. His publications highlight advancements in parallel optimization algorithms, fault detection systems for digital substations, and stochastic models for wind power uncertainty. Ongoing research explores cyber-physical system interdependencies and decentralized operation frameworks for interconnected grids.

• Transportation Safety
• Transportation Planning
• Infrastructure Analysis
• +۳ مورد دیگر

Steven Lavrenz is an Assistant Professor in the Department of Civil and Environmental Engineering at Wayne State University's College of Engineering. He previously served as the Technical Programs Manager at the Institute of Transportation Engineers and Director of Technical Services for the National Operations Center of Excellence. His expertise spans transportation safety, policy, and operations, with involvement in Transportation Research Board committees and the National Cooperative Highway Research Program. He holds a Ph.D. and two M.S. degrees in Civil Engineering from Purdue University and Iowa State University. Research interests include transportation infrastructure resilience, traffic signal optimization, crash data analysis, and the socioeconomic impacts of transportation systems. His work emphasizes data-driven approaches to enhancing safety and efficiency in urban and suburban settings. Lavrenz has contributed to numerous studies on rail grade crossings, bikeshare systems, and the application of advanced modeling techniques. Lavrenz’s research portfolio highlights trends in infrastructure condition forecasting, safety culture development, and the integration of high-resolution data into traffic management systems. His lab, located at the Wayne State Engineering Development Center, focuses on practical solutions for modern transportation challenges. He has also served as an adjunct professor at Catholic University, teaching econometrics and transportation systems management.