جستجوی استاد راهنمای دانشگاهی

Jason Ostanekمشاهده پروفایل

استادیار

• Energy Storage
• Turbulence
• Heat Transfer
• +۵ مورد دیگر

Jason Ostanek is an Assistant Professor at Purdue University's School of Engineering Technology and Environmental and Ecological Engineering. He directs the Applied Thermofluids Laboratory and Powertrain Technology Laboratory, focusing on battery safety and thermal management systems. Ph.D. in Mechanical Engineering from Penn State M.S. in Mechanical Engineering from Penn State B.S. in Mechanical Engineering from Virginia Tech His research explores energy storage systems, thermal runaway phenomena, heat transfer mechanisms in Li-ion batteries, fluid dynamics, and internal combustion engine thermal management. He has developed analytical models for battery degradation, thermal abuse simulations, and innovative cooling strategies for large-scale energy systems. Key publication trends show expertise in: Li-ion battery thermal runaway modeling Heat transfer in confined geometries Thermal management for energy storage systems Renewable energy forecasting Computational fluid dynamics applications Scientific awards include: 2020 Purdue Teaching Academy's Award for Exceptional Teaching and Instructional Support during the COVID-19 Pandemic 2020 SOET Outstanding Faculty in Engagement 2019 SOET Outstanding Faculty in Discovery 2015 NAVSEA Commander’s Award for Innovation 2013 ASME IGTI Young Engineer Travel Award 2007 DOD SMART Fellowship Recipient As director of Purdue's Applied Thermofluids Laboratory, he leads research on battery safety mechanisms, combustion dynamics, and thermal systems optimization. His work spans fundamental and applied research with industrial collaborators.

Lyudmila Mihaylovaمشاهده پروفایل

استاد

• Signal Processing
• Bayesian Methods
• Monte Carlo Methods
• +۹ مورد دیگر

Professor Lyudmila Mihaylova is a distinguished academic at the University of Sheffield's School of Electrical and Electronic Engineering, where she holds the position of Professor of Signal Processing and Control. She has established herself as a leading researcher in the fields of signal processing, Bayesian methods, and autonomous systems, with significant contributions to particle filtering techniques for intelligent transportation systems. Her work bridges theoretical developments with practical applications across multiple domains including transportation, healthcare, and industrial automation. Prof. Mihaylova's research interests center on nonlinear filtering, sequential Monte Carlo methods, statistical signal processing, and sensor data fusion. Her work spans both theoretical advancements and practical implementations, with particular focus on high-dimensional problems including vehicular traffic flow estimation, image processing, and localization in sensor networks. She has extensive experience with various image modalities such as optical, thermal, LIDAR, SAR, and hyperspectral imaging. Her group actively develops novel methods for autonomous intelligent systems focusing on sensing, tracking, decision making, and machine learning applications. Analysis of Prof. Mihaylova's recent publications reveals a strong trend toward uncertainty quantification in machine learning models, particularly for safety-critical applications. Her work increasingly integrates traditional signal processing techniques with modern deep learning approaches, with applications spanning sewer inspection robotics, medical diagnostics (particularly sleep apnea detection), UAV swarm tracking, industrial manufacturing, and autonomous vehicle systems. A significant portion of her recent research focuses on developing robust methods that can handle incomplete or outlier-corrupted data while providing reliable uncertainty estimates. Among her notable professional achievements: President of the International Society of Information Fusion (ISIF) Senior member of the IEEE Signal Processing Society Associate Editor for IEEE Transactions on Aerospace and Electronic Systems Associate Editor for Elsevier Signal Processing Journal Prof. Mihaylova has successfully mentored numerous PhD students and postdoctoral researchers, many of whom have gone on to prominent academic and industry positions. Her research has been supported by major funding bodies including EPSRC, EU, MOD/DSTL, and industry partners, with recent projects including 'Protecting Environments with UAV Swarms' (InnovateUK, 2022-2024), 'ShiRAS: Towards Safe and Reliable Autonomy in Sensor Driven Systems' (NSF-EPSRC, 2019-2023), and 'Confident safety integration for Cobots' (Lloyd's Register Foundation, 2019-2020). Her research group follows a collaborative approach with the philosophy 'We share knowledge, we grow.' Prof. Mihaylova maintains active research collaborations with institutions worldwide and has held previous academic positions at Lancaster University (2006-2013) and University of Bristol (2004-2006), along with research visiting positions at the University of Ghent, Katholic University of Leuven, and the Bulgarian Academy of Sciences.

Kibret Mequanintمشاهده پروفایل

استاد

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۶ مورد دیگر

Dr. Kibret Mequanint is a full Professor at Western University's Department of Chemical and Biochemical Engineering, with cross-appointments in Biomedical Engineering. Holding a PhD from University of Stellenbosch and postdoctoral experience at Technical University of Darmstadt and McMaster University, his research bridges polymer science, materials engineering, and life sciences with applications in Biomaterials , Tissue Engineering , and Regenerative Medicine . His work spans both fundamental and translational research in cell-material interactions , polymer biomaterial design , and therapeutic radiation dosimeters , with technologies transferred to commercial applications. Leading scholar and educator with awards from NSERC, CIHR, and Western University Fellow of: American Institute for Medical and Biological Engineering (AIMBE), Ethiopian Academy of Sciences, International Union of Societies for Biomaterials Science and Engineering, Canadian Academy of Engineering Extensive editorial and panel service for NSERC, CIHR, and international journals His research program has produced over 170 refereed publications, focusing on conductive hydrogels , bioadhesives , and vascular tissue engineering . Recent work on endoscopy-deliverable bioadhesives and snake venom-derived hemostatic gels has attracted global media attention. He has served in leadership roles at the Canadian Biomaterials Society and university governance bodies including Senate and Board of Governors.

• Operations Research
• Combinatorial Optimization
• Artificial Intelligence
• +۳ مورد دیگر

Omar Rifki is an Associate Professor (Maître de Conférences) specializing in combinatorial optimization and artificial intelligence applications. His research bridges theoretical computer science with practical logistics challenges, focusing on routing problems, process mining, and machine learning integration for complex decision systems. His core research interests include phase transitions in NP-hard problems, vehicle routing optimization under time constraints, and healthcare process modeling. Rifki's work demonstrates a consistent pattern of integrating reinforcement learning with traditional optimization techniques to solve large-scale real-world problems in transportation and logistics, with particular emphasis on spatio-temporal data effects and collaborative systems. Analysis of his 15 publications (2019-2025) reveals three dominant research thrusts: (1) Fundamental studies of combinatorial problem hardness using phase transition frameworks, (2) Practical applications of deep reinforcement learning in vehicle routing and taxi assignment, and (3) Healthcare process optimization through advanced process mining techniques. His work consistently addresses scalability challenges in real-world implementations while maintaining theoretical rigor. No scientific awards were documented in the provided materials. His collaborative work with researchers like Christine Solnon and Thierry Garaix indicates active participation in European operations research communities, though specific grant details remain unreported. Rifki's research shows increasing integration of graph theory and machine learning in transportation applications, particularly evident in his Lyon City case studies on autonomous ride-sharing systems.

Fred Feinbergمشاهده پروفایل

استاد

• Discrete choice models
• Bayesian statistics
• Marketing analytics
• +۷ مورد دیگر

Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.

Ralf Stanewskyمشاهده پروفایل

استاد

• Circadian Rhythms
• Biological Clocks
• Neurobiology
• +۳ مورد دیگر

Professor Ralf Stanewsky leads the Stanewsky Group at the Institute of Neuro- and Behavioral Biology, University of Münster. His research focuses on the molecular mechanisms of circadian rhythms in Drosophila melanogaster , particularly how environmental cues like light and temperature reset the circadian clock. The group employs genetic, molecular, histological, and behavioral approaches to study sensory pathways and their integration in central clock neurons. Member of the Multiscale Imaging Centre (MIC) and Imaging Network – Microscopy Current lab members: Ph.D. students Anna Katharina Eick, Angelica Coculla, Maia Zabel Barroso Technical assistants Regina Hube and Ume Aiman Research Themes Light and temperature synchronization of circadian clocks Temperature compensation mechanisms in biological timing Neuronal integration of environmental signals Evolutionary aspects of circadian regulation Professor Stanewsky’s work spans molecular clock components (e.g., cryptochromes, timeless gene variants) to broader ecological implications of temporal niche choice. His lab investigates how clock gene expression responds to seasonal changes and environmental stressors, while also exploring novel synchronization pathways beyond classical photoreceptors. Publication Trends Recent articles emphasize temperature-dependent clock regulation , evolutionary capacitance via Hsp90 , and non-canonical phototransduction in circadian systems. Key subfields include nuclear transport dynamics, kinase evolution, and computational modeling of periodic patterns across species. Contact Information Institute of Neuro- and Behavioral Biology, University of Münster MIC | Röntgenstraße 16, D-48149 Münster, Germany Email: stanewsky@uni-muenster.de Phone: +49 251 8321029

Rajiv Sinhaمشاهده پروفایل

استاد

• River Science
• Fluvial Geomorphology
• Sedimentology
• +۵ مورد دیگر

Prof. Rajiv Sinha is a Professor in the Department of Earth Sciences at Indian Institute of Technology Kanpur . With a PhD from the University of Cambridge (1992), his career spans over two decades at IITK, including roles as Head of Department since 2014. Education: PhD (University of Cambridge, 1992), M.Tech (University of Roorkee, 1987), B.Sc (Patna University, 1983) Key Affiliations: Member of International Association of Sedimentologists, SEPM, Quaternary Research Association, and Indian Professional Societies Research Focus: Specializing in river science , Prof. Sinha investigates fluvial geomorphology , sedimentology , and natural hazards like Kosi floods . His work integrates remote sensing and GIS for climate change and paleoclimate reconstruction , notably studying the Ganga river system and its anthropogenic impacts . Scientific Leadership: His publications (2013-2017) reveal: Anthropocene river systems (2016) Indus Civilization paleohydrology (2017) Kosi megafan dynamics (2015) Monsoon evolution (2010, 2014) Groundwater management (2016) Awards & Recognitions: Pandit Girish Ranjan Chair Professorship (2013) National Mineral Award (2002) Alexander von Humboldt Fellowship (2000) UGC Research Fellowship (1988) University Gold Medal (1987) Collaborative Network: Partners include University of Durham , Imperial College London , and Institute du Physique de Globe, Paris . Currently leading Ganga River Basin Management studies and river science initiatives at IITK.

Jenny Huangfu Dayمشاهده پروفایل

استاد

• Modern China
• Late Imperial China
• Diplomatic History
• +۴ مورد دیگر

Jenny Huangfu Day, a Professor of History and the Francis Young Tang '61 Chair in China Studies at Skidmore College, specializes in the intellectual, diplomatic, and legal history of late imperial and modern China. She earned a PhD from the University of California San Diego (2012) and a BA from the University of Washington (2007). Education: PhD in History, University of California San Diego (2012) BA in History, University of Washington (2007) Research Interests: Her work bridges intellectual history , legal history , and diplomacy to examine how China negotiated sovereignty and political legitimacy from the Qing Dynasty to the Republican era. Current projects analyze the politicization of historical education and transnational legal negotiations . Her publications include monographs on Qing diplomatic missions and extradition law , alongside peer-reviewed articles in Law and History Review , Modern Asian Studies , and 中华文史论丛 . She has also contributed to digital humanities projects like Visualising China and public intellectual forums such as 澎湃新闻 . Scientific Awards: Outstanding Academic Title of 2019 by ACRL Choice for *Qing Travelers to the Far West* Academic Leadership: As Interim Chair of the History Department at Skidmore College (Fall 2025), she oversees curriculum development and faculty mentorship, with a focus on integrating interdisciplinary methodologies into China studies.

• Spatio-temporal Statistics
• Computational Statistics
• Environmental Informatics
• +۳ مورد دیگر

Andrew Zammit Mangion is an Associate Professor at the University of Wollongong , affiliated with the School of Mathematics and Applied Statistics . His research focuses on spatio-temporal statistics, computational methods, and environmental informatics, with applications in climate science and geospatial data analysis. Education : PhD in Statistics (University of Sheffield, 2012), B.Eng. (University of Malta, 2007) Research Themes : Spatio-temporal modeling, Bayesian inversion frameworks (e.g., WOMBAT v2.S), deep learning integration, and statistical software development (e.g., FRK package) Grants & Projects : ARC DECRA Fellow (2018), Chief Investigator on ARC Discovery Project (greenhouse gases), ARC Special Research Initiative (Securing Antarctica's Environmental Future), and ARC Industrial Transformation Hub (TIDE). Collaborations : University of Bristol, University of Edinburgh, ESA CCI, NASA OCO-2 data projects Scientific Awards include the prestigious Australian Research Council Discovery Early Career Researcher Award (DECRA). His work spans Antarctic ice sheet analysis, CO2 flux inversion, and scalable spatial statistical models for environmental monitoring.

Kimberly P. Ellisمشاهده پروفایل

دانشیار

• Manufacturing Systems Engineering
• Logistics Systems Analysis and Design
• Production Planning
• +۳ مورد دیگر

Kimberly P. Ellis is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. She holds affiliations as Site Director of the Center for Excellence in Logistics and Distribution (CELDi) and Associate Director of the Center for High Performance Manufacturing (CHPM). Her research focuses on manufacturing systems engineering, logistics optimization, and applied operations research, addressing challenges in production planning, supply chain management, and industrial gas distribution. Education: Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology, M.S. and B.S. in Industrial Engineering from the University of Tennessee. Research interests include large-scale operational planning, material logistics, and process optimization. Her work has been supported by the National Science Foundation, Ericsson, Lucent Technologies, and others. She co-directs the Dover Laboratory for Manufacturing Systems Integration and has served in leadership roles at the College Industry Council on Material Handling Education (CICMHE), including past-president (2014–Present). Awards include the Dean’s Award for Service Excellence (2011–12), Dean’s Award for Teaching Excellence (2009–10), and the Ralph R. Teetor Award for Young Educators (2002). Recent courses taught include Production Planning and Inventory Control, Production Systems Analysis, and Systems Engineering Process.

• Virtual Water Trade
• Water Resources Management
• Supply Chain Sustainability
• +۵ مورد دیگر

Megan Konar is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Illinois Urbana-Champaign. Her research focuses on water resources, virtual water trade, and the intersection of food systems with climate change and sustainability. She has contributed to interdisciplinary studies on groundwater depletion, supply chain resilience, and the socio-hydrological dimensions of water scarcity. Her work bridges engineering, environmental science, and policy analysis. Notable research areas include analyzing virtual water flows in global trade networks, evaluating the impacts of climate shocks on agricultural systems (e.g., in Zambia and China), and assessing resilience in US agri-food transportation infrastructure. She leads projects on food-energy-water nexus dynamics and has developed datasets mapping food flows and irrigation patterns across the United States and China. Key Awards: AGU Fellow (2024) James B. Macelwane Medal (2024) NSF CAREER Award (2019) Walter L. Huber Civil Engineering Research Prize (2022) Her collaborative research extends to global partnerships, addressing water governance challenges and sustainable development goals. Recent work highlights the dual pressures of groundwater depletion and contamination in China, resilience strategies in perishable food networks, and equity considerations in wasted food models.

Monica Olvera de la Cruzمشاهده پروفایل

استاد

• Polymer Science
• Soft Materials
• Condensed Matter Physics
• +۵ مورد دیگر

Monica Olvera de la Cruz is the Lawyer Taylor Professor of Materials Science and Engineering, Chemistry, and Chemical & Biological Engineering at Northwestern University, with a courtesy appointment in Physics and Astronomy. She directs the Center for Computation & Theory of Soft Materials and serves as Deputy Director of the Center for Bio-Inspired Energy Science. Her research focuses on designing responsive materials, including polymers, electrolytes, and complex fluids, with applications in biotechnology and energy. She holds a Ph.D. from Cambridge University (1985) and a B.A. from UNAM (Mexico). Her research interests include self-assembly of heterogeneous molecules, ionic-driven assembly mechanisms, and functional materials design. Recent work highlights include modeling electrostatic effects in biomimetic systems and exploring superionic conductors. Awards include National Academy of Sciences membership (2012), APS Polymer Prize (2017), and American Philosophical Society membership (2020). Professional service roles: Gordon Research Conferences Board, DOE Basic Energy Sciences, Max Planck Institute advisory board Led over 150 publications since 2020, emphasizing soft matter physics and materials innovation Her group's innovations bridge theoretical physics and applied materials science, with notable achievements in bio-inspired materials and electrochemical systems.

• Software Engineering
• Reverse Engineering
• Program Understanding
• +۷ مورد دیگر

Ken Wong is an Associate Professor in the Department of Computing Science at the University of Alberta's Faculty of Science. He also serves as Associate Chair within the same department. Holding a PhD in Computer Science from the University of Victoria (1999), his research focuses on software engineering challenges such as reverse engineering, program understanding, and software visualization. He emphasizes improving software evolution through tools like architecture recovery and root cause analysis, with applications in web/mobile platforms and diverse system understanding. Teaching highlights include developing Massive Open Online Courses (MOOCs) via Coursera, including the 'Software Product Management Specialization' and courses on Agile practices, client needs analysis, and software metrics. His recent publications (2023–2025) span AI-driven healthcare innovations (e.g., medical imaging, photoacoustic tomography) and advanced computer vision techniques (e.g., diffusion models, video inpainting). Notable collaborations include EVAREST studies on heart failure management and lung transplantation outcomes. His work bridges software engineering theory and practical applications in healthcare technology, with contributions to federated learning frameworks (e.g., FedLPPA) and AI-augmented clinical decision support systems. Research also extends to autonomous driving (DriveGPT4-V2) and 3D human avatar generation (DreamAvatar), showcasing interdisciplinary impact.

Samer M. Madanatمشاهده پروفایل

استاد

• Transportation Infrastructure Management
• Facility Performance Modeling
• Optimal Management Policies under Uncertainty

Samer Madanat is the Xenel Distinguished Professor of Engineering Emeritus and former Director of the Institute of Transportation Studies at UC Berkeley. He holds a Ph.D. in Transportation Systems from MIT and specializes in transportation infrastructure management with focus on facility performance modeling and developing optimal management policies under uncertainty. His research interests center on lifecycle maintenance optimization for bridge networks, pavement resurfacing policies minimizing costs and greenhouse gas emissions, and decision support systems for infrastructure planning. He has led significant research projects on network reliability and maintenance optimization under multiple constraints. Dr. Madanat received the Science and Technology grant from the University of California Office of the President in 2000 and served as Editor-in-Chief of the ASCE Journal of Infrastructure Systems from 2001-2011. His research group has included graduate students investigating large-scale infrastructure optimization challenges.

Andreas Malikopoulosمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Transportation Systems
• Control Theory
• +۴ مورد دیگر

Andreas Malikopoulos is a Professor at Cornell University's School of Civil & Environmental Engineering and Director of the Information and Decision Science Lab (IDS Lab). Previously, he held roles as the Terri Connor Kelly and John Kelly Career Development Professor at the University of Delaware (UD) and founding Director of UD's Sociotechnical Systems Center. He also served as the Alvin M. Weinberg Fellow at Oak Ridge National Laboratory (ORNL), Deputy Director of ORNL's Urban Dynamics Institute, and Senior Researcher at General Motors R&D. His research focuses on cyber-physical systems (CPS), stochastic control, and learning-driven approaches for optimizing energy efficiency and sustainable mobility in smart cities and transportation systems. Education: PhD (Mechanical Engineering, University of Michigan, 2008), M.S. (Mechanical Engineering, University of Michigan, 2004), Diploma (National Technical University of Athens, 2000). Research Interests: Analysis and control of CPS, stochastic scheduling, game theory, and mechanism design applied to emerging mobility systems (e.g., autonomous vehicles, electric vehicles). He emphasizes integrating learning and control for socially optimal solutions in transportation networks. Awards: IEEE ITS Young Researcher Award (2019), UD’s Outstanding Junior Faculty Award (2020), Alvin M. Weinberg Fellowship (2010), and recognition as a NAS Kavli Frontiers of Science Scholar (2012). He is an IEEE Senior Member, ASME Fellow, and serves on editorial boards of leading journals. Teaching: Focuses on optimal decision-making, control theory, and emerging mobility systems. Courses include stochastic optimal control and game theory at Cornell. Labs: Leads the IDS Lab, which develops scalable frameworks for CPS and smart city applications. Current projects include coordinated routing for mixed-traffic systems and AI-driven recommendations for autonomous vehicles.