جست‌وجوی استاد و پژوهشگر

Yves Boubenecمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Perceptual Attention
• Sound Encoding
• +۳ مورد دیگر

Dr. Yves Boubenec is an Associate Professor at École Normale Supérieure (ENS)-PSL University, Paris, France. He serves as Head of the LSP Neuro Platform and Director of Studies at the Department of Cognitive Studies. Academic Rank: Associate Professor Institution: ENS-PSL Departments: Cognitive Studies (ENS), LSP Neuro Platform Email: yves.boubenec@ens.psl.eu Research Focus: Boubenec investigates neural mechanisms of auditory perception and cognition using integrated methodologies spanning single-neuron electrophysiology to large-scale neuroimaging. His work reveals how context, learning, and multisensory interactions shape sound encoding in mammalian neocortex. Primary Research Themes Context-dependent auditory encoding Perceptual attention mechanisms Task-driven neural plasticity Self-supervised learning models Population-level cortical dynamics Human/ferret auditory comparisons Publication Trends: Recent work (2024-2025) examines speech production networks, premotor auditory categorization, and algebraic structures in sound learning. Earlier studies (2018-2022) focus on population gating, hierarchical auditory coding, and self-voice mechanisms. 2025 Self-voice frequency analysis Hierarchical ferret auditory cortex mapping Temporal window constraints 2024 Premotor category hemodynamics Self-supervised sound structures Human speech cortical encoding Methodological Expertise: Combines awake ferret functional UltraSound, Neuropixels recordings, and computational modeling to analyze neural representations across spatial scales. Specializes in translating animal model findings to human auditory processes.

• Power Electronics in Power Systems
• Power System Dynamics
• Stability Analysis of Power Systems
• +۲ مورد دیگر

Anant Narula is a postdoctoral researcher at Chalmers University of Technology, Sweden, affiliated with the Department of Electrical Engineering. His work focuses on power electronics in power systems, stability analysis of grid-forming converters, and renewable energy integration. PhD in Electrical Engineering (2023), Chalmers University of Technology Postdoc since 2023 at Department of Electrical Engineering Research Interests: Narula specializes in power electronics for power systems, analyzing grid-forming converter dynamics, stability, and control strategies. His work addresses challenges in renewable energy integration, microgrid protection, and converter-based grid support. Publication Trends: His recent articles (2024–2025) explore small-signal analysis of converters, reactive behavior impacts, and stability enhancement techniques. Earlier works (2016–2023) cover fault ride-through, parameter tuning, and modular converter design. Scientific Affiliation: He is a member of IEEE, contributing to power electronics and renewable energy research through collaborations and conference proceedings.

Christian Waughمشاهده پروفایل

استاد

• Emotion Regulation
• Stress and Coping
• Resilience
• +۴ مورد دیگر

Christian Waugh serves as Professor of Psychology at Wake Forest University, based in Greene Hall 445 with contact email waughce@wfu.edu. He directs the Emotion and Motivation Lab (eMolab), as evidenced by his active research website https://emolab.psych.wfu.edu , and teaches courses within the Department of Psychology. His research centers on emotion regulation mechanisms, particularly cognitive reappraisal strategies, stress reactivity, and resilience across the lifespan. Key investigations examine how individuals maintain emotional states during stressors, the neural underpinnings of positive emotion's buffering effects, and age-related differences in recovery from adversity. His work integrates psychological, biological, and social perspectives to understand affective processing dynamics, with significant focus on temporal aspects of emotional experience and coping. Analysis of his 2023-2025 publications reveals dominant themes in reappraisal implementation phases, affective working memory, and pandemic-related stress adaptation. His methodological approach combines fMRI, physiological monitoring, ecological momentary assessment, and computational modeling to explore how positive emotions facilitate stress resilience. Notable patterns include the temporal anchoring of regulatory strategies and the differential impacts of distraction versus avoidance coping. Scientific awards: No awards were documented in the source material. Regarding academic advising and research funding, the source text provides no specific details about graduate students, grants, or sponsored projects. However, his active laboratory and extensive publication record suggest ongoing mentorship and research support activities typical of senior faculty. Waugh leads the Emotion and Motivation Lab (eMolab), which investigates neural and psychological mechanisms of emotion regulation through multiple experimental paradigms. Current research examines stressor reactivity in aging populations, virtual reality mood induction techniques, and computational models of resilience, with strong emphasis on translating findings to real-world coping applications.

Hjalti H. Sigmarssonمشاهده پروفایل

استادیار

• Reconfigurable RF and microwave hardware
• Spectral management schemes for cognitive radio architectures
• Advanced packaging utilizing heterogeneous integration techniques
• +۱ مورد دیگر

Hjalti H. Sigmarsson is an Assistant Professor at the University of Oklahoma's School of Electrical and Computer Engineering within the Gallogly College of Engineering. His research focuses on reconfigurable RF/microwave hardware, spectral management for cognitive radios, heterogeneous integration packaging, and nanomaterial-based device development. Education : B.S.E.C.E., University of Iceland (2003) M.S.E.C.E., Purdue University (2005) Ph.D., Electrical and Computer Engineering, Purdue University (2010) Research Interests : His work advances agile communication systems through tunable microwave components and explores novel packaging techniques for heterogeneous material integration. His nanomaterial research targets next-generation RF devices, while his radar systems development contributes to meteorological observations and mobile phased arrays. Scientific Contributions : He has pioneered liquid metal-tuned filters, substrate integrated waveguide technologies, and evanescent-mode cavity resonators. His publications demonstrate expertise in hybrid acoustic-electromagnetic filters, SAR imaging, and filter shape optimization. Awards : DARPA ASP program recognition (2008) Best paper awards at IMAPS (2008, 2009) Outstanding student paper, IMAPS (2009) Best paper, Microwave/Radio Applications session at IMAPS (2008, 2009) Labs & Centers : He leads research at the University of Oklahoma's Radar Innovations Lab and contributes to the Advanced Radar Research Center. His work includes the Horus All-Digital Phased Array Weather Radar project.

Hamed Badihiمشاهده پروفایل

استادیار

• Condition Monitoring
• Fault-Tolerant Control
• Attack-Resilient Control
• +۳ مورد دیگر

Hamed Badihi is an Assistant Professor in Automation Technology and Dependable Systems at Tampere University , part of the Faculty of Engineering and Natural Sciences. He leads the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group within the Dependable Systems Cyber Laboratories . His research focuses on critical aspects of condition monitoring, fault-tolerant control, and attack-resilient control to advance sustainable, dependable cyber-physical systems. Research Interests include: Cybersecurity for industrial control systems Fault-tolerant control mechanisms Resilient control strategies for renewable energy systems Condition monitoring of wind turbines and microgrids Recent Contributions emphasize hybrid approaches combining machine learning and control theory for cyber-attack detection and system resilience in wind farms and microgrids. His work addresses challenges like real-time fault diagnosis and adaptive control under adversarial or environmental perturbations. Awards & Roles : Senior Member of IEEE, editor for International Transactions on Electrical Energy Systems , Advances in Fuzzy Systems , and Processes journals. Active in EU projects like StreamSTEP . Labs & Teams : Directs the DARES Group, collaborating on initiatives like the Dependable Systems Cyber Laboratories to pioneer innovations in cyber-physical system dependability.

Carl Ho (Ngai Man)مشاهده پروفایل

استاد

• Power Electronics
• Heavy-Duty Electric Vehicles
• Renewable Energy Technologies
• +۵ مورد دیگر

Dr. Carl Ho (Ngai Man) is a Full Professor and Canada Research Chair in Efficient Utilization of Electric Power at the University of Manitoba's Price Faculty of Engineering, Department of Electrical and Computer Engineering. Appointed Associate Head (Electrical Engineering) in July 2021, he leads the Renewable-energy Interface and Grid Automation (RIGA) Lab established with CFI funding in 2014. His educational background includes: PhD in Electronic Engineering (2007), City University of Hong Kong MEng in Electronic Engineering (2002), City University of Hong Kong BEng in Electronic Engineering (2002), City University of Hong Kong Dr. Ho's research focuses on power electronics applications for sustainable energy systems, with particular expertise in power conversion technologies for electric vehicles, renewable integration, and smart grid infrastructure. His work bridges industrial application and academic innovation, evidenced by over 40 IEEE journal publications, 80 conference papers, and 20+ patents. Current research emphasizes wide-bandgap semiconductor applications, power hardware-in-loop validation, and DC microgrid architectures for remote communities. Analysis of his recent publications reveals a strong trend toward practical implementation of power electronics solutions, with increasing focus on GaN/SiC devices, grid-forming converters, and modular architectures for microgrids. His work consistently addresses real-world challenges in efficiency, reliability, and cost-effectiveness across renewable integration, electric transportation, and power quality domains. Notable awards include: Second Place Winner for 2018 IEEE Transactions on Power Electronics Prize Paper Multiple IEEE JESTPE Star Associate Editor Awards (2022-2023) IEEE TPEL AE Excellence Award (2023) Best Student Team Regional Award in IEEE Empower a Billion Lives 2019 As an active mentor, Dr. Ho supervises numerous graduate students across multiple cohorts and leads significant research initiatives including NSERC Discovery Grants, MITACS collaborations with Power Integrations Inc., Research Manitoba Innovation Proof-of-Concept Grants, and Natural Resources Canada projects on zero-emission heavy vehicles. His RIGA Lab serves as a hub for industry-academic collaboration with Manitoba Hydro and transportation sector partners. The RIGA Lab, completed in 2016 and renovated in 2019, houses specialized equipment for power electronics prototyping, real-time simulation, and hardware-in-loop testing. Current projects include advanced wireless EV charging, GaN-based controller development, and DC microgrid solutions for remote communities, with recent recognition including a visit from Prime Minister Justin Trudeau in April 2023.

Wajiha Shireenمشاهده پروفایل

استاد

• Power Electronics
• Smart Grid
• Renewable Energy Systems
• +۵ مورد دیگر

Dr. Wajiha Shireen is a Professor in the Department of Engineering Technology at the University of Houston’s College of Technology. She has held this position since 1993 and maintains a joint appointment in the Department of Electrical and Computer Engineering. Her academic focus spans power electronics, smart grid technologies, and renewable energy systems. Education: B.S. (Bangladesh University of Engineering and Technology, 1987), M.S. (Texas A&M University, 1991), Ph.D. (Texas A&M University, 1993) Dr. Shireen’s research centers on power quality, wireless power transfer, battery energy storage systems, and the integration of renewable energy sources like solar and wind into modern grids. She has pioneered advancements in MPPT control for photovoltaics and frequency regulation in microgrids , with a particular emphasis on low-inertia grid stability . Her recent publications highlight trends in EV charging infrastructure optimization , predictive control for energy systems , and grid-following battery storage operations . These works intersect electrical engineering, renewable energy, and smart grid technologies. Scientific Awards : College of Technology Outstanding Faculty Award for Teaching (2014) College of Technology Outstanding Faculty Award for Research (1998, 2006) Featured in the Journal of Engineering Technology as a leading researcher (2001) Dr. Shireen has secured over $3 million in grants from the National Science Foundation, Department of Energy, and industry partners like Texas Instruments and Transmark Subsea. She has mentored numerous students, including co-authors Amir Hussain , Preetham Goli , and Sonal Patel , and contributed to the development of educational tools such as the Microgrid Test Bench .

Jonathan Regehrمشاهده پروفایل

استاد

• Transportation Information Systems
• Freight Transportation
• Railway Engineering
• +۲ مورد دیگر

Jonathan Regehr is Professor and Associate Head (Undergraduate) in Civil Engineering at University of Manitoba's Price Faculty of Engineering. He holds BSc and PhD degrees in Civil Engineering from University of Manitoba. His research examines transportation information systems, freight logistics, railway operations, and road safety. As Co-Director of Urban Mobility and Transportation Informatics Group, he collaborates with government and industry partners to develop data-driven solutions for transportation policy challenges. Recent publications focus on freight system resilience, rail corrugation management, and traffic monitoring innovations. His work frequently addresses cold-region transportation challenges and has been recognized with nominations for Transportation Research Board awards. Professor Regehr serves as Vice-President of Heavy Vehicle Transport and Technology Forum and actively contributes to transportation policy development through committee leadership.

Elke Vlemincxمشاهده پروفایل

استادیار

• Psychophysiology
• Stress Regulation
• Emotion Regulation
• +۵ مورد دیگر

Dr. Elke Vlemincx is an Assistant Professor at the Health Sciences department of Vrije Universiteit Amsterdam since 2020. She holds adjunct roles in the AMS - Musculoskeletal Health and APH divisions focusing on Health Behaviors & Chronic Diseases and Mental Health. Previously, she worked as an Assistant Professor at Queen Mary University of London (2017–2020) and completed a postdoctoral fellowship across institutions in Ann Arbor, Hamburg, Seattle, and Leuven (until 2017). She earned her PhD in Psychology from KU Leuven in 2010. Her research focuses on two primary areas: 1) respiratory psychophysiology, exploring breathing patterns' role in stress/emotion regulation and symptom perception, and 2) socioemotional learning in education to enhance student wellbeing and resilience. She pioneered studies on sighs' psychological functions and their implications for mental health interventions. She has published in leading journals like Psychophysiology and Biological Psychology , and served as Past President of the International Society for the Advancement of Respiratory Psychophysiology (2020–2021). Her recent projects include MASH-up n'HEI (2022–2025), developing socioemotional learning programs, and Level Up (2020–2023), exploring soft skills in higher education. Ancillary activities include coaching roles at ClipGGZ and Hulpkaart since 2024. Key awards include leadership in the ISARP and a focus on UN Sustainable Development Goals related to health and wellbeing. Grants include research on respiratory psychophysiology's role in chronic diseases and pandemic impacts.

Seher Ekenمشاهده پروفایل

استادیار

• Thin-Walled Composite Beams
• Aeroelastic Analysis
• Hypervelocity Impact
• +۵ مورد دیگر

Seher Eken is an Assistant Professor in the Department of Aerospace Engineering at Istanbul Technical University. Her research focuses on structural dynamics and aeroelasticity of aerospace systems, specializing in thin-walled composite beams, spacecraft shielding, and hypervelocity impact mechanics. She has led multiple projects on topics like transonic flutter suppression, ballistic armor optimization, and orbital debris mitigation. Key research areas include: Composite material failure under extreme loads Aeroelastic stability of rotating structures Numerical simulation of hypervelocity impacts Dynamic analysis of aircraft wings and turbine blades Active vibration control techniques Her recent work emphasizes spacecraft protection systems, with studies on orbital debris impact dynamics and advanced composite armor design. She has also contributed to launch vehicle instability analysis and swept wing flutter characteristics. Current projects involve 3D-printed turbine blade repair, transonic flutter prediction for unmanned aircraft, and ballistic impact optimization for high-performance fabrics. Notable projects (2022–2025): AB Yeni Nesil İnsansız Savaş Uçakları Aeroelastik Uyarlama (Transonic Flutter Prediction) 3D-Printed Turbine Blade Repair with Sustainability Focus Ballistic Impact Analysis of Fabric Armors Orbital Debris Impact Simulation for Spacecraft Shields Her research integrates computational modeling (CFD, FEA) with experimental validation, focusing on aerospace structural systems under extreme conditions. Collaborations span international partners in composite material development and space debris mitigation strategies.

Haibo Heمشاهده پروفایل

استاد

• Computational Intelligence
• Neural Networks
• Reinforcement Learning
• +۵ مورد دیگر

Dr. Haibo He is the Robert Haas Endowed Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). As an IEEE Fellow and NSF CAREER awardee, his research focuses on computational intelligence, neural networks, and reinforcement learning with applications to smart grids and microgrid systems. Ph.D. in Electrical Engineering, Ohio University, 2006 M.S. in Electrical Engineering, Huazhong University of Science and Technology, 2002 B.S. in Electrical Engineering, Huazhong University of Science and Technology, 1999 His research interests include: Computational Intelligence Adaptive Dynamic Programming Reinforcement Learning Deep Learning for Power Systems Distributed Control in Microgrids Imbalanced Data Learning Recent research trends from publications (2018-2025) show a focus on: Multi-agent reinforcement learning for energy systems Digital twin frameworks for grid security Event-triggered control mechanisms Finite-time convergence algorithms Cyber-attack resilient control systems Evolutionary computation in power networks Awards: IEEE Fellow (2018) NSF CAREER Award (2017) Dr. He leads the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory at URI, which conducts fundamental research on computational intelligence methods with applications to power systems, data mining, and neural networks.

• Power Systems
• Microgrids
• Renewable Energy Integration
• +۷ مورد دیگر

Dr. Daming Zhang serves as a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Faculty of Engineering. His academic career spans over two decades with continuous scholarly contributions to power systems engineering. Dr. Zhang's research focuses on power systems, microgrids, and renewable energy integration , with particular expertise in constant-frequency microgrid operation, DC-AC conversion technologies, and energy storage applications. His work addresses critical challenges in grid stability, power system protection, and the integration of high-penetration renewable energy sources. He has developed innovative approaches for microgrid regionalization, load flow analysis in islanded systems, and fault detection in photovoltaic systems. His publication record shows a clear evolution from fundamental electromagnetic studies to applied power systems research, with recent work emphasizing practical solutions for decarbonized power systems. The majority of his recent publications appear in high-impact IEEE journals and conferences, demonstrating the significance of his contributions to the field. His research increasingly incorporates advanced computational methods including machine learning for fault detection and optimization techniques for energy system planning. While no specific awards are listed in the available information, Dr. Zhang's extensive publication record in top-tier journals indicates recognition within the academic community. His collaborative work with researchers across multiple institutions demonstrates his active engagement in the international power engineering community. Dr. Zhang's research has practical implications for modern power systems transitioning toward renewable energy integration. His work on constant-frequency microgrids, energy storage applications, and grid-forming converters addresses critical challenges in maintaining stability as power systems incorporate higher levels of inverter-based resources. His recent focus on long-duration energy storage and zero-carbon electricity systems reflects the evolving priorities of the power industry toward decarbonization.

Kenneth Sumidaمشاهده پروفایل

استاد

• Resistance Training
• Caloric Restriction
• Bone Mineral Density
• +۳ مورد دیگر

Dr. Kenneth Sumida is a Professor at Chapman University holding the Warren D. Hancock Endowed Chair in Natural Sciences. He is affiliated with both Crean College of Health and Behavioral Sciences and Schmid College of Science and Technology, conducting research at the intersection of exercise physiology and musculoskeletal biology. University of Southern California - BS, MS, PhD Research Focus : Dr. Sumida investigates exercise-induced bone formation thresholds during growth periods, particularly examining sex differences in bone mineral density (BMD) responses to resistance training. His work also explores alcohol's impact on hepatic glucose production , revealing sex-specific metabolic vulnerabilities. Publication Trends : Recent work spans 2025-2007, showing a progression from alcohol metabolism studies to groundbreaking work on optimal resistance training protocols for skeletal development. Key themes include nonlinear BMD responses , training frequency equivalence , and caloric restriction interactions . Awards & Memberships : Fellow of the American College of Sports Medicine Member of the American Physiological Society Teaching & Funding : He teaches advanced physiology courses (PT 515, BIOL 365/366, BIOL 350) while securing grants from NIH National Institute on Alcohol Abuse & Addiction, NIH National Institute on Aging, and Irvine Health Foundation.

• Electric Drives
• Electrical Machines
• Motor Control
• +۷ مورد دیگر

Sandro Rubino is a Fixed-term tenure-track Assistant Professor at the Department of Energy (DENERG) at Politecnico di Torino, where he is also a Member of the Interdepartmental Center PEIC - Power Electronics Innovation Center. His academic appointment falls under the scientific disciplinary sector IIND-08/A - Power Electronic Converters, Electrical Machines and Drives (Area 0009 - Industrial and Information Engineering). Dr. Rubino's research focuses on electric drives and electrical machines, with particular expertise in induction motor drives, synchronous motor drives, and advanced torque control techniques. His work spans from fundamental motor control theory to practical applications in electric vehicles and e-mobility systems. He has developed high-performance torque controllers for various types of electric motors including electrically excited synchronous motors, induction motors, and multi-three-phase motor configurations. His research addresses critical challenges in motor drive systems including fault tolerance, efficiency optimization, and performance derating under abnormal conditions. His publications reveal a strong focus on practical applications of motor control theory, particularly in the context of electric vehicles and sustainable transportation. The trend in his recent work shows increasing sophistication in control algorithms for multi-phase motor systems, with emphasis on fault tolerance and performance optimization under challenging operating conditions. His research bridges theoretical electrical machine modeling with practical implementation challenges in modern power electronic drive systems. Dr. Rubino has received multiple prestigious awards including the IAS-IDC ECCE Prize Paper Award in 2020, 2022, and 2024 from IEEE Transactions on Industry Applications, the IEEE Italy Section Power and Energy Society (PES) Chapter Best PhD Thesis Award in 2020, the IEEE Italy Section Industrial Electronics (IES) Chapter Best PhD Thesis Award in 2021, and the IAS-IDC Transactions Paper Award in 2024. He actively supervises PhD students including Nicola Macri', Alessandro Ionta, and Luisa Tolosano, focusing on advanced topics in multi-phase motor drives and torque control. Dr. Rubino leads or participates in several significant research projects including TEAMING - e-powerTrain prEdictive mAintenance using physics inforMed learnING (2023-2027), SUPERDRIVE - Superconductive Synchronous Machine Drives for High-Power Applications (2023-2025), and SEMDY - Sustainable and Efficient Motor Drive System for E-mobility Applications (2022-2025), where he serves as Scientific Responsible. Within the Power Electronics Innovation Center (PEIC), Dr. Rubino contributes to advancing the state-of-the-art in electric drive systems, with particular emphasis on applications supporting Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 11 (Sustainable Cities and Communities).

• Power Systems
• Smart Grids
• Reactive Power Control
• +۳ مورد دیگر

Charu Sharma is an Associate Professor in the Department of Electrical Engineering at UiT The Arctic University of Norway, specializing in power systems and smart grid technologies. Her work focuses on reactive power control, voltage stability, and optimization of renewable energy-integrated networks. Research on cyber-physical co-simulation frameworks for real-time grid management Development of hybrid renewable energy microgrids for rural and industrial applications Expertise in optimization algorithms (e.g., BFOA-PSO, ANFIS) for energy systems Recent publications highlight her contributions to DER-enriched distribution networks, low-inertia system stability, and intelligent load frequency control. She actively collaborates with researchers on projects like Cooperative Isolated Renewable Energy Systems and arcICE , addressing reliability and sustainability challenges.