جست‌وجوی استاد و پژوهشگر

• Supply Chain Management
• Retail Operations
• Operations Research
• +۵ مورد دیگر

Joline Uichanco is an Associate Professor of Technology and Operations at the Ross School of Business, University of Michigan, and Director of the Tauber Institute for Global Operations, funded by Ford Motors Co. She holds a Ph.D. in Operations Research from MIT (2013), alongside advanced degrees in Computation, Engineering, and Finance from MIT and the National University of Singapore. Her research focuses on optimizing resource allocation in dynamic environments, particularly in supply chain resilience during emergencies, retail operations in omni-channel contexts, and data-driven decision-making. Key areas include humanitarian logistics, maintenance scheduling under uncertainty, and retail pricing/inventory strategies. She collaborates with major retailers like Target and Best Buy to address challenges in inventory management and dynamic pricing. Her work emphasizes robust optimization and distribution-free models, addressing both for-profit and non-profit sectors. Recent publications explore workforce configuration in charities, surplus food redistribution, and multi-product pricing under uncertain demand. She also investigates volunteer management strategies to enhance long-term donor relationships. Dr. Uichanco is affiliated with the Center for Southeast Asian Studies (CSEAS) and actively contributes to interdisciplinary projects in global operations. Her research bridges theory and practice, offering actionable insights for organizations navigating complex operational challenges.

• Automatic Control
• Systems Engineering
• Biomedical Signal Processing
• +۴ مورد دیگر

William PASILLAS-LEPINE is a Senior Researcher at CentraleSupélec’s Laboratoire des signaux et systèmes (L2S), focusing on automatic control, systems engineering, and their applications in automotive, biomedical, and energy systems. His work bridges theoretical advancements in control systems with practical implementations in domains such as electric vehicles, biomedical monitoring, and power electronics. He is affiliated with L2S’s MODESTY and SYCOMORE teams, specializing in modeling, observer design, and robust control strategies. Research Interests : His research emphasizes automatic control theory, nonlinear systems, and hybrid control architectures. Key areas include observer-based stabilization, robust control under sensor imperfections, and applications in automotive systems (ABS, electric power steering) and biomedical engineering (respiratory effort estimation, neural population modeling). Publications : Over 15 peer-reviewed articles in journals like IEEE Transactions on Automatic Control and conferences such as CDC, showcasing contributions to hybrid control systems, biomedical signal processing, and dynamic models for electric vehicles. Recent work includes non-invasive respiratory monitoring and robust control under feedback delays. Collaborations & Patents : He co-authored a patent (FR3134928) on polyphase electrical systems for vehicles, reflecting industry-relevant innovations. His interdisciplinary projects span automotive safety, energy-efficient power converters, and neural systems modeling. Labs/Teams : Active member of L2S’s teams focusing on Modélisation pour la commande des Systèmes Dynamiques (COMEDY) and Commande robuste sous contraintes (SYCOMORE), advancing both theoretical and applied control methodologies.

Oleh Kiselychnykمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Electric Vehicle Technology
• +۳ مورد دیگر

Dr. Oleh Kiselychnyk is an Associate Professor in the School of Engineering at the University of Warwick, where he leads the Power and Control Systems Research Laboratory. He previously held roles as a Science City Research Fellow (2012–2015) and Assistant Professor (2015–2019). His expertise spans energy-efficient control systems, power electronics, and renewable energy integration. He coordinates the MSc Electrical Power Engineering program and teaches advanced modules on power electronic converters and drive control. Research interests focus on optimal control of electric vehicle drives, self-excited induction generators, and grid-integrated photovoltaic systems. Notable projects include EPSRC-funded initiatives on multilevel inverters, clean energy storage, and modular transportation architectures. He has supervised over 30 student projects on motor drives, power converters, and renewable energy applications. Key contributions include advancements in sensorless control algorithms for pumps/fans, neural network-based parameter estimation, and nonlinear control strategies for energy storage systems. His work bridges theoretical modeling with practical implementation in industrial and automotive sectors. Dr. Kiselychnyk collaborates with industry partners like Hyundai Motor Europe and AVL Powertrain, translating research into real-world applications. His lab facilities support experimental validation of novel control techniques and power electronic topologies.

Ali Emadiمشاهده پروفایل

استاد

• Transportation Electrification
• Electrified Vehicles
• Autonomous-Capable Vehicles
• +۱۰ مورد دیگر

Ali Emadi is a Professor in the Departments of Mechanical Engineering and Electrical & Computer Engineering at McMaster University, and a Canada Excellence Research Chair Laureate. He holds the NSERC/FCA Industrial Research Chair in Electrified Powertrains and Tier I Canada Research Chair in Transportation Electrification and Smart Mobility. His research focuses on electrified vehicles, power electronics, electric machines, and sustainable energy systems. Emadi leads the McMaster Engineering EcoCAR Mobility Challenge team and has supervised over 60 Ph.D. and 80 Master's students. He founded Enedym Inc. and MenloLab Inc., and his work has been recognized with numerous awards, including IEEE Fellow and SAE Fellow. Education: BS (Sharif University, 1995), MS (Sharif University, 1997), PhD (Texas A&M, 2000). Research Interests: Transportation electrification, autonomous vehicles, electric powertrains, renewable energy systems, and smart mobility. His lab develops advanced technologies like magnet-free electric motors and thermal management systems, emphasizing sustainability and efficiency. Key Achievements: Over 650 publications, 70 patents, and $150M in research funding. He has pioneered IEEE conferences like ITEC and served as Editor-in-Chief of IEEE Transactions on Transportation Electrification. Labs/Teams: Directs the McMaster Automotive Resource Center (MARC) and MacAUTO institute. Collaborates with industries like GM, Tesla, and Toyota.

Laurent Gerbaudمشاهده پروفایل

استاد

• Computer Aided Design
• Modelling
• Dynamic simulation
• +۲ مورد دیگر

Laurent Gerbaud is a Professor at the ENS de Grenoble (Grenoble Institute of Technology) , affiliated with the G2Elab research laboratory and the MAGE team. His expertise lies in computer-aided design (CAD) of electrical systems, with a focus on electrical drives and power electronics. Research Interests: Analytical modeling, time/frequency simulation, gradient-based optimization, and CAD tool development. Teaching Activities: Computer-aided design, energy conversion, numerical methods, and optimization techniques. Research Trends across his publications highlight the application of advanced optimization methods (e.g., SQP, automatic differentiation) to complex electromagnetic and electrical systems, emphasizing electromagnetic compatibility (EMC) in aerospace, hybrid train energy management, and thermal modeling for multiphysics systems. His work bridges analytical modeling with practical implementation in renewable energy and transportation domains. Laboratory Affiliation : G2Elab (Grenoble Electrical Engineering Laboratory), located at Grenoble Cedex 1, France.

• Structural Dynamics
• Rotor Dynamics
• Noise and Vibration
• +۶ مورد دیگر

Lin Ji is a Lecturer in Mechanical Engineering at the School of Mechanical, Aerospace and Automotive Engineering, Coventry University. He holds a PhD in structural dynamics from the University of Southampton and has professional experience as an Associate Principal Engineer at Dyson Technology Ltd. His research focuses on structural dynamics, rotor dynamics, noise, and vibration, with expertise in hybrid FE/SEA methods for acoustic-structural systems. He is actively supervising PhD projects on advanced dynamic design for high-performance machinery systems. Educational Background: PhD in Structural Dynamics (University of Southampton) Doctorate in Mid-frequency Vibration of Complex Built-up Systems Research Interests: Mid-frequency vibro-acoustic modeling Hybrid FE/SEA method development Noise and vibration control in mechanical systems Experimental measurements and data analysis His work bridges theoretical modeling (e.g., statistical energy analysis) with practical applications in automotive and aerospace engineering. Professional Activities: Accepting PhD students Media spokesperson for mechanical engineering topics Collaborations with industry partners like Dyson Technology Ltd. Labs & Teams: Involved in the Motor Simulation and Analysis Team at Dyson and the Institute of Mechanical Design and Theory at Shandong University.

Sarah Olsonمشاهده پروفایل

استاد

• Mathematical Biology
• Computational Biofluids
• Scientific Computing
• +۴ مورد دیگر

Sarah D. Olson is Professor and William Steur Professor & Department Head of Mathematical Sciences at Worcester Polytechnic Institute (WPI), with joint appointments in Bioinformatics & Computational Biology and Biomedical Engineering. As the first woman to lead the Mathematical Sciences department in WPI's 156-year history, she focuses on teaching foundational mathematics while advancing computational methods and interdisciplinary research. Research Interests: Mathematical Biology, Computational Biofluids, Scientific Computing, and Biophysics Awards: NSF CAREER Award (2015), Fulbright Faculty Scholar Award (2018) Education: BA in Mathematics (Providence College, 2003), MS in Applied Mathematics (University of Rhode Island, 2005), PhD in Applied Mathematics (North Carolina State University, 2008) Her work bridges mathematical modeling with biological applications, particularly in cellular motility and reproductive biology. She emphasizes nurturing junior faculty and enhancing WPI's culture of diversity through programs like the STEM Faculty Launch Workshop. Olson serves as a mentor for Major Qualifying Project teams, PhD students, and postdocs. Scientific Contributions: Developed computational frameworks for micro-swimmers and regularized Stokeslets with error analysis Explored cortical dynein's role in centrosome clustering and spindle dynamics Created hybrid models for cartilage regeneration and environmental coupling Advanced Bayesian uncertainty quantification methods for biofluid simulations Her research has been supported by NIH funding for cancer-related computational modeling and NSF grants. Olson's recent publications demonstrate expertise in fluid-structure interactions, cell dynamics, and numerical methods.

Nikolaos Bekiaris-Liberisمشاهده پروفایل

دانشیار

• Distributed parameter systems
• Delay systems
• Nonlinear control
• +۹ مورد دیگر

Roles and Affiliation: Nikolaos Bekiaris-Liberis is an Associate Professor in the Department of Electrical & Computer Engineering at the Technical University of Crete (TUC). He holds a PhD in Aerospace Engineering from the University of California, San Diego (2013) and has held positions including Marie Skłodowska-Curie Fellow, Assistant Professor, and Adjunct Professor at TUC. Education: PhD in Aerospace Engineering, UC San Diego (2013) MS in Aerospace Engineering, UC San Diego (2010) Bachelor of Science in Electrical and Computer Engineering, National Technical University of Athens (2007) Research Interests: His work focuses on theoretical and applied control systems, including distributed parameter systems, delay systems, nonlinear control, and switched systems. Applications span traffic flow control, automated vehicles, biological transport systems, and automotive catalysts. He emphasizes translating PDE-based models into practical control solutions for real-world systems. Notable Achievements: Recipient of the European Research Council (ERC) 2022 Consolidator Grant for the C-NORA project. 2019 IEEE ITS Outstanding Research Paper Award for contributions to traffic control. Marie Skłodowska-Curie Individual Fellowship (2017) and Chancellor's Dissertation Medal (2014). Advising & Grants: Supervises PhD and Master’s students in control systems and traffic dynamics. Leads the ERC-funded C-NORA project and previously directed the PADECOT (Marie Curie) initiative. His team includes postdocs and undergraduate researchers focusing on traffic flow modeling, epidemics transport, and PDE-based control. Professional Contributions: Editor for IEEE Transactions on Intelligent Transportation Systems and Automatica. Organized workshops on traffic flow control and PDE techniques at major conferences like CDC and ECC. Active in industry partnerships, including collaborations with Ford Motor Company on catalytic converter control.

• Power Electronics
• Electrical Engineering
• Energy Systems
• +۳ مورد دیگر

Heath Hofmann is a Professor in the Department of Electrical and Computer Engineering. His research focuses on advanced energy systems, including electric machines, power electronics, and hybrid energy storage solutions. He emphasizes robust control strategies, battery management systems, and model predictive control applications. Hofmann's work often addresses challenges in electric vehicle powertrains, shipboard power systems, and renewable energy integration. Research interests include: Electric machine design and control Battery degradation and state-of-health estimation Hybrid energy storage systems Thermal management of power electronics Model predictive control for multi-energy systems His advising style prioritizes weekly one-on-one meetings and lab collaboration, with a focus on student-driven research progression. Hofmann encourages internships and conference participation (e.g., IEEE ECCE, APEC) to advance technical expertise. Key research contributions span topics like nonlinear magnetics modeling, fault detection in battery systems, and adaptive control strategies for high-power applications. Labs/Teams: Active in electric propulsion system design, energy storage optimization, and control algorithm development for industrial and maritime applications.

• Neuroscience
• Neural Coding
• Information Theory
• +۳ مورد دیگر

Stefano Panzeri is a Professor at the University of Hamburg's Medical Faculty, affiliated with the Department of Neuroscience. His research focuses on neural coding, information theory, and computational neuroscience, particularly in sensory systems and decision-making processes. He contributes to the Zentrum für Molekulare Neurobiologie Hamburg (ZMNH), advancing understanding of neural network dynamics and their implications for cognition. Key areas: Neural information processing, sensory systems, decision-making. Publications span topics like cortical coding, neuroimaging, and computational models. His work integrates experimental and theoretical approaches, with recent emphasis on decoding neural signals and their behavioral relevance. Collaborations include developing tools like MINT for neural data analysis.

• Mathematical Biology
• Applied Mathematics
• Cell Biology
• +۴ مورد دیگر

Veronica Ciocanel is an Assistant Professor of Mathematics (Primary) and Biology (Joint) at Duke University, with a focus on mathematical modeling and analysis in cell and developmental biology. Her research integrates applied mathematics, stochastic processes, and topological data analysis to study intracellular transport, filament organization, and symmetry transitions in biological systems. Education: PhD in Applied Mathematics, Brown University (2017) MSc in Applied Mathematics, Brown University (2013) BS in Mathematics and French, Duke University (2012) Research Interests: Mathematical modeling of mRNA transport and cytoskeletal dynamics Parameter inference and identifiability in biophysical models Applications of topological data analysis to biological systems Modeling symmetry transitions and pattern formation Scientific Awards: 2025 Lee A. Segel Prize for Best Paper in Bulletin of Mathematical Biology 2015 Red Sock Award (SIAG/Dynamical Systems) for Best Poster Presentation Professional Activities: Active mentor in undergraduate research programs Organizer of workshops and conferences in mathematical biology Collaborations with experimental labs (e.g., Mowry, Rolls, Silver) Labs/Teams: Collaborates with interdisciplinary teams in mathematical biology, cell biology, and computational topology.

Serhat Dumanمشاهده پروفایل

استاد

• Power Systems
• Renewable Energy
• Optimization Algorithms
• +۳ مورد دیگر

Serhat Duman is a Professor at the Department of Electrical Engineering, Faculty of Engineering and Natural Sciences at Bandırma Onyedi Eylül University. He previously served as an Associate Professor at Duzce University (2016-2020) and held various roles including Department Head and Institute Director. His academic journey includes research on optimization algorithms, renewable energy systems, and power systems. Education details are not explicitly provided, but his administrative duties include leadership roles such as Head of the Department and Deputy Director of Research Application Centers. Research interests focus on renewable energy integration, power system optimization, and application of metaheuristic algorithms. His work spans over 65 articles in Electrical Engineering, contributing to fields like energy management, smart grids, and controller design. He has advised three students and contributed to projects such as 'Load Frequency Control Using Symbiotic Organisms Search Algorithm' and 'Sustainable Energy Management System for Smart Grid.' His research is published in journals like Soft Computing and Neural Computing & Applications .

Joshua Lukemireمشاهده پروفایل

استاد پژوهشی

• Imaging Bayesian Analysis
• High-Dimensional Imaging Data Analysis
• Brain Network Analysis
• +۳ مورد دیگر

Joshua Lukemire is an Assistant Research Professor at Emory University's Department of Biostatistics and Bioinformatics. His research focuses on developing statistical methods for analyzing high-dimensional imaging data, particularly in pediatric applications like near-infrared spectroscopy for monitoring red blood cell transfusion efficacy in preterm infants. He also explores brain network differences between clinical groups using Bayesian techniques and hierarchical modeling. Education: B.S. from University of Georgia; M.S. and Ph.D. from Emory University (Department of Biostatistics). Research interests include Imaging Bayesian Analysis, longitudinal brain network connectivity studies, and statistical methods for healthcare applications. His work bridges neuroimaging analysis, pediatric medicine, and advanced computational statistics. Recent publications highlight innovations in functional brain network generation with graph neural networks (e.g., Fbnetgen and Braingb tools), as well as clinical studies on transfusion efficacy in preterm infants and electroconvulsive therapy outcomes. His methodological contributions include sparse Bayesian modeling, optimal experimental designs, and nonparametric vector autoregression approaches. No advising or grant details are listed in the provided text. His work is supported by collaborations across disciplines, though specific lab affiliations are not mentioned.

Amir Khajepourمشاهده پروفایل

استاد

• Mechatronics
• Autonomous Vehicle Systems
• Vehicle Control and Safety
• +۴ مورد دیگر

Amir Khajepour is a Professor at the University of Waterloo and holds prestigious positions as a Tier 1 Canada Research Chair in Mechatronics Vehicle Systems and a Senior NSERC/General Motors Industrial Research Chair in Holistic Vehicle Control. His research focuses on autonomous vehicle systems, mechatronics, and advanced control methodologies. Key areas include autonomous driving safety, sensor fusion, vehicle dynamics, and energy management. He leads the Mechatronic Vehicle Systems Lab, pioneering innovations in connected and automated vehicles. His work integrates machine learning, robotics, and mechanical engineering to address challenges in real-world autonomous systems, including path planning, perception reliability, and multi-agent coordination. Recent projects involve 5G-enabled mobility systems, robust tire force estimation, and game-theoretic decision-making frameworks. Khajepour’s contributions span both theoretical advancements and practical implementations, such as the WATonoBus autonomous shuttle technology. Research Highlights: Autonomous vehicle safety, sensor fusion algorithms, adaptive control systems, and energy-efficient powertrains. Grants & Awards: Canada Research Chair, NSERC/GM Industrial Chair, and multiple industry collaborations. Labs & Teams: Directs the Mechatronic Vehicle Systems Lab at the University of Waterloo. His publications emphasize real-world deployment, safety validation, and interdisciplinary approaches to advancing intelligent mobility solutions.

• Mechanical Engineering
• Vibration Analysis
• Aeroelasticity
• +۵ مورد دیگر

Prof. Dr.-Ing. Jörg Wallaschek is a Professor and Executive Director at the Institute of Dynamics and Vibration Research within the Faculty of Mechanical Engineering at Leibniz University Hannover. He leads the Executive Board of the Institute and serves on the board of the Collaborative Research Centre (CRC) 871: Regeneration of Complex Capital Goods . Additionally, he is a member of the Leibniz Research Centre Energy 2050 and the PhoenixD Cluster of Excellence , leading the Task Group S1: Macro Optical Systems . His research focuses on vibration dynamics , aeroelasticity , laser beam welding , ultrasonic technologies , and automotive optics . Key contributions include advancements in turbomachinery analysis, modal parameter estimation, and holographic optical systems for automotive applications. Prof. Wallaschek's work integrates experimental and computational methods to address challenges in mechanical systems, including friction damping, nonlinear vibrations, and material characterization. His interdisciplinary projects bridge mechanical engineering with photonics and energy systems. He holds leadership roles in multiple research initiatives and collaborates across departments to advance innovation in energy, manufacturing, and aerospace technologies.