جست‌وجوی استاد و پژوهشگر

Yafeng Yinمشاهده پروفایل

استاد

• Transportation Systems
• Sustainable Transportation
• Urban Infrastructure Systems
• +۵ مورد دیگر

Yafeng Yin is Professor of Civil and Environmental Engineering and Professor of Industrial and Operations Engineering at the University of Michigan, College of Engineering, where he serves as Donald Malloure Department Chair of Civil and Environmental Engineering and holds the Donald Cleveland Collegiate Professorship in Engineering. His educational background includes: PhD in Civil Engineering from University of Tokyo (2002) ME in Civil Engineering from Tsinghua University (1996) BE in Environmental Engineering from Tsinghua University (1994) BE in Structural Engineering from Tsinghua University (1994) Dr. Yin's research centers on developing sustainable and economically efficient transportation systems through analysis, modeling, design, and optimization. He investigates how emerging technologies—including connected/automated vehicles, electric vehicles, drones, and mobile sensing—impact transportation demand and supply. His work extends to interdependencies between transportation, power, and communications networks in urban infrastructure systems. Key focus areas include mobility services, ride-sourcing markets, traffic management, and integration of artificial intelligence in transportation. His recent publications (2023-2025) demonstrate a pronounced shift toward leveraging large language models and agent-based frameworks for transportation analysis, with significant emphasis on on-demand mobility services (ride-sourcing, food delivery), traffic control with connected vehicles, and economic implications of emerging technologies. The research spans theoretical foundations in game theory and optimization to practical applications in urban settings. As director of the Lab for Innovative Mobility Systems, Dr. Yin leads interdisciplinary research developing solutions that enhance transportation efficiency, reliability, safety, and service diversity through technological integration. His work bridges theoretical modeling with real-world implementation challenges in evolving transportation ecosystems.

• Wireless Communications
• Information Theory
• UAV Networks
• +۳ مورد دیگر

Dr. Yulin Hu serves as a Visiting Professor at RWTH Aachen University, holding the Chair of Information Theory and Data Analytics. His research program bridges theoretical foundations with practical implementations in next-generation wireless systems, with particular emphasis on UAV-aided networks and information-theoretic approaches to communication challenges. His core research interests span multiple interconnected domains: Wireless Communications (especially finite blocklength regimes) Information Theory applications in network design UAV trajectory optimization and network integration Wireless power transfer with nonlinear energy harvesting Edge computing and distributed learning systems Data analytics for network performance optimization Analysis of Dr. Hu's 2025 publication record reveals a concentrated research thrust on UAV trajectory design, where he develops joint optimization frameworks addressing energy efficiency, security, and reliability constraints. His work consistently integrates information-theoretic principles—particularly finite blocklength analysis—to solve practical challenges in ultra-reliable low-latency communications (URLLC) and wireless power transfer. A distinctive feature of his approach is the fusion of deep reinforcement learning with traditional optimization methods for dynamic network scenarios, including no-fly zone constraints and covert operations. While no specific scientific awards are documented in the available materials, his prolific output across top-tier venues demonstrates significant scholarly impact. Details regarding graduate student mentoring and research funding mechanisms remain unspecified in the current documentation. The Chair of Information Theory and Data Analytics, which Dr. Hu leads, functions as a specialized research unit focused on theoretical rigor and algorithmic innovation for wireless systems, though specific laboratory infrastructure or team composition details are not provided.

Giovanni Squilleroمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Evolutionary Algorithms
• +۷ مورد دیگر

Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).

Engin Topanمشاهده پروفایل

دانشیار

• Service Logistics
• Predictive Maintenance
• After-Sales Service
• +۵ مورد دیگر

Engin Topan serves as Associate Professor in the Industrial Engineering & Business Information Systems department at the University of Twente, with dual affiliation at the Digital Society Institute. His expertise spans reliability engineering, maintenance systems, and service logistics for capital goods, focusing on data-driven solutions for Industry 4.0 applications and after-sales service optimization. Education: Ph.D. in Industrial Engineering from Middle East Technical University, Turkey (2010) Dr. Topan's research centers on predictive maintenance and spare parts supply planning within service logistics, alongside proactive production planning for smart manufacturing. He pioneers AI-empowered flexible production systems for SMEs and develops service control tower frameworks for after-sales logistics. His work integrates operations research with practical industry challenges, emphasizing real-world applicability in manufacturing and service sectors through projects like ProSeLo and MANTIS. Recent publications (2022-2025) reveal consistent focus on service control tower architectures, predictive maintenance algorithms, and data-sharing mechanisms in inter-organizational systems. Key themes include reference modeling for asset maintenance, heuristic optimization for operational planning, and pandemic response modeling—demonstrating interdisciplinary reach across logistics, public health, and information systems. Scientific Awards: IISE 2022 Best Application Paper in Data Science, Quality, and Reliability ISE Transactions 2019 Design & Manufacturing Best Paper Award Dr. Topan actively mentors graduate researchers and leads major collaborative projects: coordinating PERISCOP (AI-driven production planning for SMEs), serving as WP-leader in DESIRE (smart/resilient manufacturing), and contributing to OpsCenter (service control towers). These initiatives, funded through competitive grants, address critical gaps in sustainable manufacturing and service logistics while fostering industry-academia partnerships. His research operates within the ProSeLo ecosystem for proactive service logistics and the MANTIS framework for maintenance planning, utilizing cross-disciplinary teams to develop decision-support tools. Current efforts focus on operationalizing service control towers through case studies with industrial partners, with future work targeting adaptive supply chains for SMEs in volatile markets.

Mike Wagnerمشاهده پروفایل

استاد

• Renewable Energy Systems
• Energy Storage Optimization
• Thermal Systems Modeling
• +۳ مورد دیگر

Mike Wagner is a Professor of Mechanical Engineering at the University of Wisconsin-Madison. He leads the Energy Systems Operations Lab and is affiliated with the Solar Energy Lab and Wisconsin Electric Machines and Power Electronics Consortium. His research focuses on thermal systems modeling, energy storage optimization, and high-temperature power generation technologies. Dr. Wagner holds a B.S. and M.S. from the University of Wisconsin-Madison (2007, 2008) and a Ph.D. from Colorado School of Mines (2017). Prior to UW-Madison, he spent 11 years as a senior researcher and PI at NREL’s Thermal Systems group. His research spans renewable energy systems, battery testing, and hybrid generation technologies. Recent work includes nuclear-solar integration, molten salt thermal storage, and AI-driven control systems for power plants. Awards: PECASE (2019), NREL President’s Award (2019), and multiple NREL recognition awards. He teaches courses in heat transfer (ME 364), graduate research (ME 790/890), and nuclear engineering (NE 790). His lab develops tools like SRLIFE, SolarPILOT, and SAM for energy system modeling and optimization.

Mark C. Bowlerمشاهده پروفایل

دانشیار

• Leadership Assessment
• Organizational Behavior
• Personality Psychology
• +۲ مورد دیگر

Mark C. Bowler serves as Associate Professor and Program Director for Occupational Health Psychology within the Department of Psychology at East Carolina University. His academic appointments include active faculty status with office location in Rawl Building 111 and contact via bowlerm@ecu.edu. Dr. Bowler's research centers on three interconnected domains: Leadership Assessment through assessment centers and personality structure analysis; Organizational Behavior focusing on interpersonal aggression dynamics; and Occupational Health Psychology examining workplace stressors. His methodological expertise spans psychometric validation, conditional reasoning testing, and statistical modeling of behavioral data. Recent publication trends reveal strong emphasis on educational psychology (teacher stress under accountability policies), cross-cultural mental health (depression screening in Latino populations), and advanced psychometrics (test faking, banding corrections, g-theory applications). His work consistently bridges theoretical constructs with practical measurement solutions. Dr. Bowler actively mentors graduate students, with availability for new Master's and doctoral advisees during the 2020-21 academic year. His research program engages with PASS Clinic resources for clinical service training while maintaining focus on organizational assessment methodologies. Administrative leadership includes directing ECU's Occupational Health Psychology program, with operational base in the Department of Psychology's Rawl Building facilities. Current research trajectories indicate expanding work on culturally-responsive assessment tools and organizational stress interventions.

Taylan G. Topcuمشاهده پروفایل

استادیار

• Systems Engineering
• Socio-technical Systems
• Management of Safety-Critical Systems
• +۴ مورد دیگر

Taylan G. Topcu is an Assistant Professor of Systems Engineering & Analysis at Virginia Tech's Grado Department of Industrial and Systems Engineering. He holds a Ph.D. from Virginia Tech (2020), an M.Sc. from the University of Alabama in Huntsville (2015), and a B.Sc. in Aerospace Engineering from Middle East Technical University (2009). His roles include Director of the Systems Engineering Master’s Degree and Coordinator of the Mission Engineering Certificate Program at Virginia Tech. His research focuses on systems engineering, microeconomics, and data-science integration to address socio-technical measurement challenges in complex systems design, emphasizing architecture theory and safety-critical systems management. Key research themes include modularization's impact on system complexity, digital twins for healthcare sustainability, and leveraging AI tools like Large Language Models for systems engineering tasks. He collaborates with NASA, INFRABEL, and MITRE to ground theoretical insights in real-world contexts. Professional affiliations include INCOSE, ASME, INFORMS, and the Design Society. Recent courses taught include ISE 5834 (Decision Analysis for Engineers) and ISE 5204 (Systems Engineering Capstone Project). His work bridges academia and industry, addressing both foundational theory and practical applications in complex system design and management.

Sunwook Kimمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Ergonomics
• Postural Control
• +۳ مورد دیگر

Sunwook Kim is an Associate Professor in the Department of Industrial and Systems Engineering at Virginia Tech, part of the College of Engineering. His work focuses on human factors engineering, ergonomics, and occupational biomechanics with a strong emphasis on exoskeleton technology and neurodiverse collaboration. Kim holds a Ph.D. in Industrial & Systems Engineering from Virginia Tech. His research explores how exoskeletons impact physical demands and safety in construction, manufacturing, and healthcare settings. Notable studies include evaluating passive and powered exoskeletons for tasks like lifting, overhead work, and gait assistance, alongside investigating their effects on postural control, muscle activity, and user acceptance. He also examines neurodiverse team dynamics using advanced methodologies like Hidden Markov Models and physiological signal analysis. Kim's work bridges human performance, assistive technology, and workplace safety, with applications in falls prevention, biomechanical monitoring, and ergonomic intervention design. His interdisciplinary approach integrates machine learning, sensor technologies, and biomechanical modeling to address real-world challenges. His recent articles highlight trends in exoskeleton adoption factors, human-robot collaboration, and motor adaptation during exoskeleton use. Ongoing research includes fall monitoring systems using radar sensing and feature-resonated neural networks, reflecting his commitment to advancing both theoretical and applied human factors engineering.

Bahgat G. Sammakiaمشاهده پروفایل

استاد

• Heat Transfer
• Electronics Packaging
• Thermal Management of Data Centers
• +۳ مورد دیگر

Bahgat G. Sammakia is a Distinguished Professor of Mechanical Engineering and Vice President for Research at Binghamton University (SUNY). He leads multiple research centers including S3IP (a NY State Center of Excellence), the Energy-Smart Electronic Systems (ES2) NSF IUCRC, and CHIRP (Center for Heterogeneous Integration Research in Packaging). His roles also include former interim President of SUNY Polytechnic Institute and former IBM senior technical staff member. Education: B.S. from the University of Alexandria, M.S. and Ph.D. from SUNY Buffalo. Post-doctoral fellowship at the University of Pennsylvania (1982–1983). Research focuses on heat transfer , electronics packaging , data center thermal management , and heterogeneous integration . He pioneered cooling solutions for high-density electronics and data centers, emphasizing energy efficiency and thermal reliability. Award highlights include the 2020 Heat Transfer Memorial Art Award (ASME), Fellowships in the National Academy of Inventors (2016), IEEE (2013), and ASME (1997). He holds 21 U.S. patents and over 250 peer-reviewed publications. Leadership in S3IP and CHIRP drives innovation in microelectronics and advanced packaging. His work bridges academic research with industry applications, addressing global challenges in semiconductor cooling and energy-smart systems.

• Condition Monitoring
• Fault Analysis
• Renewable Energy Systems
• +۵ مورد دیگر

Dr Nur Sarma is an Assistant Professor in the Department of Engineering at Durham University. He specializes in renewable energy systems, electrical power systems, and advanced control strategies. His research focuses on condition monitoring, fault analysis, and fault mitigation strategies for electrical machines and drive systems. He currently serves as the EDI and Wellbeing Director of the Durham University Engineering Department and holds an EPSRC EDI+ Fellowship. He is actively involved in promoting equity, diversity, and inclusion through roles such as Co-chair of the Durham University International Staff Network, member of the Women in Engineering Society (WES Durham), and Mentoring Coordinator for IEEE UK & Ireland Women in Power Group. He is also an EPSRC-WES Ambassador and a Programme Committee Member for the IEEE Women in Engineering International Leadership Conference (WiE ILC 2025). His research interests include electrical machine modeling, grid integration of renewable systems, and sensor-based condition monitoring. Key contributions include work on DFIG control strategies, fault detection using controller signals, and fiber optic sensing for machine diagnostics. Dr Sarma has authored over 20 publications in top conferences and journals, including IEEE Transactions on Sustainable Energy and International Journal of Electrical Power & Energy Systems. His work has been recognized with awards such as the Best Paper Prize at ICRERA 2016 and the TÜBİTAK International Postdoctoral Fellowship (2019). He currently supervises two PhD students at the Electrical Power Node and has taught modules like ENGI4467 on electrical energy conversion since 2022.

Derek Grossmanمشاهده پروفایل

استاد

• National Security Policy
• Indo-Pacific Security
• U.S.-China Relations
• +۲ مورد دیگر

Derek Grossman serves as a part-time Professor of the Practice at the University of Southern California's Dornsife College of Letters, Arts and Sciences, and concurrently holds the position of Senior Defense Analyst at the RAND Corporation. His academic background includes an M.A. in U.S. National Security Policy from Georgetown University and a B.A. in Political Science and Asian Studies from the University of Michigan. Grossman's research focuses intensely on Indo-Pacific security dynamics with specialization in: U.S.-China strategic competition Regional responses to power shifts in Southeast/South Asia Intelligence community operations Gray zone conflict tactics His recent publications (2024-2025) demonstrate consistent thematic focus on geopolitical realignments, alliance politics, and security challenges across the Indo-Pacific. Analysis of 15 most recent works reveals predominant examination of: U.S. alliance management under strategic uncertainty Chinese coercive tactics against Taiwan Regional hedging strategies in Southeast Asia While no specific awards are documented, Grossman maintains significant media presence with interviews in major outlets including BBC, CNN, and The New York Times. He has contributed extensive policy analysis through RAND studies on regional security architectures.

Christopher A. Knightمشاهده پروفایل

دانشیار

• Neural Control of Movement
• Parkinson's Disease
• Aging
• +۵ مورد دیگر

Christopher A. Knight serves as an Associate Professor in the Department of Kinesiology & Applied Physiology at the University of Delaware's College of Health Sciences, where he investigates neural control mechanisms in movement disorders and aging populations. Education Ph.D. in Kinesiology, University of Massachusetts, Amherst M.S. in Kinesiology, University of Massachusetts, Amherst B.S. in Biology, University of Connecticut, Storrs Research Focus : Dr. Knight's work centers on Parkinson's disease and aging effects on neuromuscular control, with emphasis on motor unit dynamics , exercise interventions for mobility improvement , and methodological innovations in force control measurement . His laboratory develops scientific foundations for exercise protocols targeting mechanical power enhancement in neurological populations through advanced biomechanical and neurophysiological approaches. Publication Trends : Recent work (2020-2024) demonstrates consistent focus on Parkinson's disease mechanisms, with recurring themes in motor segmentation analysis, force control deficits, and exercise-based interventions. His research bridges fMRI neuroimaging, biomechanical gait analysis, and neuromuscular electrophysiology across diverse populations including athletes, concussion patients, and aging adults. Awards No specific scientific awards documented in source materials Academic Leadership : Directs the Exercise Neuroscience Research Laboratory focused on neural control of powerful muscle contractions. Though not recruiting graduate students until Fall 2022, his mentorship extends through courses including KAAP 400 (Research Methods) and KAAP 651 (Neurophysiological Basis of Human Movement). Current research examines Parkinson's disease interventions through cycling protocols and motor control segmentation. Research Infrastructure : The Exercise Neuroscience Research Laboratory operates from the Tower at STAR facility, conducting studies on neuromuscular excitation patterns, force development dynamics, and exercise adaptations in neurological populations with emphasis on translating findings into clinical mobility interventions.

Arthur R Schmidtمشاهده پروفایل

دانشیار بالینی

• Surface-water hydraulics
• Hydrology
• Urban stormwater drainage systems
• +۳ مورد دیگر

Arthur R. Schmidt is a Clinical Associate Professor in the Department of Civil Engineering at the University of Illinois, specializing in Water Resources Engineering and Science. He holds a Ph.D. (2002), M.S. (1984), and B.S. (1983) in Civil Engineering-Water Resources from the University of Illinois. His academic journey includes transitioning from Research Assistant Professor (2003-Present) to his current clinical role. Dr. Schmidt's research focuses on surface-water hydraulics , urban stormwater systems , and hydrologic measurement methods . He develops advanced models for urban drainage systems, sustainable infrastructure, and flow quantification techniques. His work integrates sensor technologies (LiDAR, ADCP) for hydrodynamic modeling and environmental applications. His publications emphasize urban hydrology , flood modeling , and infrastructure resilience , with consistent attention to climate impacts and real-time control systems from 2012-2024. Scientific Awards: Universities Council on Water Resources Ph.D. Dissertation Award (2003) Engineering Council Excellence in Advising Awards (2005, 2009, 2011, 2013) He supervises undergraduate research in sustainable drainage and flow measurement, supported by grants including a USDA SBIR grant for instrument development. Dr. Schmidt leads projects at the Hydrosystems Lab and collaborates with agencies like the Metropolitan Water Reclamation District of Greater Chicago.

• Network Protocols Engineering
• Cybersecurity
• Distributed Systems
• +۳ مورد دیگر

Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.

Mayank Chadhaمشاهده پروفایل

استادیار مدعو

• Structural Health Monitoring
• Applied Mechanics
• Machine Learning
• +۷ مورد دیگر

Mayank Chadha is an Assistant Adjunct Professor in the Department of Structural Engineering at the University of California, San Diego. He holds a Ph.D. and M.S. in Structural Engineering from UC San Diego and a B.E. in Civil Engineering from PSG College of Technology, Anna University. His research focuses on integrating applied mechanics, machine learning, and Bayesian methodologies to address challenges in structural health monitoring (SHM), risk analysis, and optimal sensor design. He also explores the application of physics-constrained machine learning in hydrology and battery degradation modeling. Education: 2019: Ph.D. in Structural Engineering, UC San Diego 2023: Postdoctoral Fellowship, UC San Diego 2014: B.E. in Civil Engineering, PSG College of Technology Dr. Chadha’s research interests include structural health monitoring, applied mechanics, uncertainty quantification, and the development of decision-making frameworks for engineering systems. He has pioneered work on Bayesian model optimization, sensor placement strategies, and value-of-information analysis. His interdisciplinary approach bridges theoretical mechanics with practical data-driven solutions for modern engineering problems. His recent work emphasizes hybrid physics-based machine learning models for streamflow forecasting and battery RUL prediction, demonstrating the fusion of computational efficiency and physical principles. He has authored numerous articles on optimal sensor design, VoI metrics, and risk-informed decision-making in SHM systems. Scientific Awards: Gold medal for CBSE 12th exams (2010) Central Government Fellowship (2014) Gold medal for Civil Engineering proficiency (2014) In addition to academia, Dr. Chadha co-founded LogSpi LP, a quantitative investment hedge fund. He teaches courses on mechanics and signal processing, emphasizing foundational engineering principles and their real-world applications. His research also extends to the development of higher-order geometrically exact beam theories, with applications in computer graphics and shape sensing. He actively collaborates with the U.S. Army Corps of Engineers on projects involving inland waterway infrastructure and risk-based sensor design.