جست‌وجوی استاد و پژوهشگر

• Power Electronics
• Electrical Machines and Energy Conversion
• Energy Storage Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Murat Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electrical Engineering. His academic career spans over 15 years at Istanbul Technical University, including roles as Deputy Head of Department (2015-2020) and Vice Dean (2020-present). PhD in Electrical Engineering from Istanbul Technical University (1999-2006) Postdoctoral Researcher at University of Illinois at Urbana-Champaign (2007, 2011) His research focuses on: Power Electronics - advanced converter designs and semiconductor applications Electrical Machines - optimization of permanent magnet and reluctance motors Energy Storage Systems - battery efficiency and electrification infrastructure Electric Vehicles - cost-effective BRT systems and sensorless control methods Recent publications highlight his work on IPMSM optimization for light EVs (2025), battery chemistry performance analysis (2025), and PMaSynRM parameter estimation (2024). His research outputs demonstrate strong focus on sustainable energy solutions and motor control systems. Notable awards: 2022 IEEE PEMC Best Paper Award 2022 European Rover Challenge - 3rd Place & Best Robot Arm 2009 WORLD SOLAR CHALLENGE Best New Entrant Multiple TÜBİTAK Formula G awards (2006-2008) IEEE Senior Member (since 2020) Prof. Yılmaz leads multiple funded projects including: 2022-2023: Modeling & Design of Rover Systems for Space Exploration 2020-2021: Flexible SPA Web Applications Consultancy 2018-2021: Battery Charging Systems for Electric Vehicles

• Distributed Signal Processing
• Wireless Communications
• Machine Learning
• +۳ مورد دیگر

Dr. Erma Perenda serves as Professor and Chair of Distributed Signal Processing at RWTH Aachen University, Germany, leading research within the Department of Distributed Signal Processing. Her contact details include email perenda@dsp.rwth-aachen.de and phone +49 241 80-27879, with office location at Kopernikusstraße 16, 52074 Aachen in the ICT Cubes facility. Her research spans: Distributed Signal Processing Wireless Communications Machine Learning (Deep Reinforcement Learning, Federated Learning) Modulation Classification AI-driven Network Optimization She focuses on solving real-world challenges in wireless systems including hardware impairments, channel variations, and energy efficiency through advanced AI techniques. Analysis of her 2018-2024 publications reveals consistent innovation in applying multi-agent deep reinforcement learning to wireless power allocation, developing robust modulation classification methods resilient to channel impairments, and implementing federated learning for industrial edge computing. Her work bridges theoretical machine learning with practical wireless communication constraints. Scientific Awards: No awards documented in available sources Advising and Grants: No student advisees or grant information provided Labs and Teams: Leads Distributed Signal Processing research group at RWTH Aachen University Based in ICT Cubes building focusing on wireless AI systems

• Embedded Systems
• Compilers
• Hardware-Software Co-Design
• +۵ مورد دیگر

Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.

Eric Barthمشاهده پروفایل

استاد

• Dynamic systems and control
• Mechatronic systems
• Fluid power systems
• +۷ مورد دیگر

Eric Barth is Professor of Mechanical Engineering and Professor of Neurological Surgery at Vanderbilt University's School of Engineering. He serves as Director of the C* Control laboratory (also known as the Laboratory for the Design and Control of Energetic Systems) and is affiliated with the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary entity bringing engineers and physicians together to impact healthcare. His educational background includes: Ph.D. in Mechanical Engineering from Georgia Institute of Technology M.S. in Mechanical Engineering from Georgia Institute of Technology B.S. in Engineering Physics from University of California - Berkeley Professor Barth's research focuses on dynamic systems and control with applications spanning multiple domains. His primary interests include the design, modeling and control of mechatronic and fluid power systems, free-piston internal combustion and free-piston Stirling engines, energy storage and harvesting systems, and MRI compatible pneumatic robots for medical applications. His work applies a system dynamics and control perspective to problems involving the control and transduction of energy, encompassing multi-physics modeling, control methodologies formulation, and model-based design. His recent publications reveal a strong trajectory connecting mechanical engineering principles with medical applications, particularly in neurosurgery. The research spans energy systems (especially Stirling engines and novel energy storage approaches) and advanced medical robotics for MRI-guided interventions. This dual focus demonstrates his ability to bridge theoretical control systems with practical applications in both energy and healthcare domains. Professor Barth actively advises several doctoral students including David Comber, Joshua J Cummins, Alexander V. Pedchenko, and E. Bryn Pitt. His research is supported by significant funding, notably from the Center for Compact and Efficient Fluid Power, an NSF Engineering Research Center. The C* Control laboratory he directs occupies approximately 1000 square feet and contains specialized equipment including an 8-camera high-bandwidth optical tracking system, mechanical breadboard tables, pneumatic equipment with high-bandwidth servo-valves, specialized pressure sensors, a thermographic camera, high-speed video equipment, 3D printers, and a 2D laser cutter. Computational facilities include a network of approximately 20 machines running MATLAB/Simulink and SolidWorks, with access to additional CNC machining resources through the School of Engineering and the University.

Tamar Gutnerمشاهده پروفایل

استاد

• Global Governance
• International Organizations
• International Political Economy
• +۳ مورد دیگر

Tamar Gutner is Professor at American University's School of International Service (SIS), where she previously served as Associate Dean for Faculty Affairs and Graduate Education and directed the MAIR, GGPS, and IER MA programs. Her leadership extends to program development and faculty mentorship, recognized by the 2017 Outstanding Faculty Mentor award. Education: Ph.D. in Political Science, Massachusetts Institute of Technology M.A. in International Relations, Johns Hopkins University School of Advanced International Studies (SAIS) B.S. in Radio/TV/Film, Northwestern University Professor Gutner's research examines the performance and effectiveness of international organizations, particularly international financial institutions. Her work analyzes institutional collaboration between the IMF and World Bank, the design of the Asian Infrastructure Investment Bank (AIIB), and environmental governance in multilateral development banks. She employs theoretical frameworks from agency theory and institutional analysis to investigate mandate-performance gaps in global governance structures, with regional expertise in Central and Eastern Europe and emerging economies. Her publication trends reveal deepening focus on inter-organizational dynamics since 2020, shifting from single-institution analyses to collaborative mechanisms between multilateral entities. Recent work emphasizes evaluation methodologies for IO collaboration, with increasing attention to China's role in reshaping global financial governance through institutions like the AIIB. Scientific Awards: American University William Cromwell Award for Outstanding Teaching (2025) Darrell Randall Award for Outstanding Service (2014, 2024) Council on Foreign Relations International Affairs Fellowship (2019) Multiple AU SIS Faculty Research and Curriculum Development Grants Professor Gutner has secured significant research funding from the Council on Foreign Relations, Brookings Institution, MacArthur Foundation, and International Studies Association. As a mentor, she has guided numerous graduate students through AU's international relations programs, with former advisees now working in international organizations and policy institutions. Her 2019 fellowship at the IMF's Independent Evaluation Office informed both her scholarly work and practical contributions to institutional evaluation frameworks. Her professional engagement includes regular participation in major conferences like the American Political Science Association and International Studies Association, where she presents on MDB collaboration strategies and global governance innovations. Current projects examine evolving corporate strategies in multilateral development banks as accountability mechanisms.

Cameron Taylorمشاهده پروفایل

استادیار

• Rehabilitation Engineering
• Neuromuscular Sensing and Stimulation
• Electromagnetics
• +۳ مورد دیگر

Cameron Taylor is an Assistant Professor in the Lampe Joint Department of Biomedical Engineering at UNC Chapel Hill and NC State University . His research focuses on neuromuscular sensing and stimulation , electromagnetics , and computational science . He teaches BMME 385 - Bioinstrumentation and leads the Hi-PHI Lab , which develops transformative human interfacing technologies to restore ability in persons with movement disorders. His work integrates magnetoquasistatics , neural interfacing , and muscle physiology . Ph.D. in Media Arts and Sciences (Biomechatronics) MIT, 2020 M.S. in Media Arts and Sciences (Biomechatronics) MIT, 2016 B.S. in Electrical Engineering Brigham Young University, 2014 A.S. Mesa Community College, 2012 His research interests include novel electromagnetic strategies for sensing and imaging the human body, with applications in wearable technologies and clinical interventions. His lab’s innovations include magnetomicrometry —a first-of-its-kind technology for real-time muscle tissue tracking in humans. Awards : - 2023 Promising Investigator Award from the Rocky Mountain Muscle Symposium Lab and Team : The Hi-PHI Lab, launching Fall 2025, seeks graduate students and postdocs with expertise in electromagnetics , algorithm development , or signal processing . Current advisees include Mahavir Prasad (PhD candidate focused on affordable human interfacing technologies) and John Goebel (PhD candidate working on bioelectronic equipment for tissue measurements). His work has been featured in Physics World , MIT Technology Review , and Electronic Design .

Dennis Pratherمشاهده پروفایل

استاد

• RF-Photonics
• Antenna Design
• Integrated Photonics
• +۶ مورد دیگر

Dennis Prather is the Engineering Alumni Distinguished Professor at the University of Delaware's Department of Electrical and Computer Engineering within the College of Engineering. A retired U.S. Navy Captain with over 38 years of service, he holds BSEE, MSEE, and PhD degrees from the University of Maryland. His research focuses on RF-photonic devices, including ultra-high bandwidth modulators, silicon photonic RF sources, and integrated RF-photonic phased array antennas. He leads projects in Silicon Photonics, Conformal Antennas, Passive Millimeter-wave Imaging, and High-Frequency Optical Modulators. Professor Prather is an IEEE Fellow, SPIE Fellow, OSA Fellow, and National Academy of Inventors Fellow. He has authored over 650 papers, holds 40+ patents, and authored 16 books/chapters. His work emphasizes photonic integration for advanced phased array systems, microwave photonic radiometry, and high-power photodiode engineering. Current research includes ultra-wideband photonic receivers, holographic beam conversion, and thin-film lithium niobate modulators. His lab develops fabrication processes for state-of-the-art devices, with applications in imaging, communications, and radar. Notable projects include modular antenna systems, optically-fed phased arrays, and photonics-based microwave radiometers. Awards include multiple fellowships recognizing his contributions to photonics and engineering innovation.

• Labour Markets
• Workplace Inequality
• Digital Labour
• +۴ مورد دیگر

Alex J. Wood is a sociologist of work and employment at the Oxford Internet Institute (OII), University of Oxford. He holds roles as Research Associate (2019–2023) and Researcher (2015–2019). His work focuses on employment relations, labour market transformation, and digital labour dynamics. Wood completed his PhD at the University of Cambridge Department of Sociology (2015), titled The insecure worker: workplace control in the 21st Century , exploring flexible work forms like zero-hour contracts. His research interests include job insecurity, workplace resistance, industrial relations, and the gig economy. Notable projects include the Microwork and Virtual Production Networks study examining digital labour in Africa/Asia and the iLabour project analyzing global labour market shifts. He has contributed to policy initiatives like the ESRC-funded Zero2Zero workshops addressing workplace stress from insecure scheduling. Wood’s publications span topics such as algorithmic control in gig economies, online freelancer organisation, and temporal flexibility in work. He has co-authored reports for global unions and think tanks, emphasizing policy reforms for vulnerable workers. His work bridges academic research with practical advocacy, focusing on digital-age labour challenges and systemic inequalities.

Rémy Jacquemondمشاهده پروفایل

پژوهشگر

• Redox Flow Batteries
• Membrane Technology
• Materials Science
• +۳ مورد دیگر

Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.

• Sports Biomechanics
• Exercise Physiology
• Rowing Performance
• +۴ مورد دیگر

Dr. Mathijs Hofmijster is an Assistant Professor affiliated with the Faculty of Behavioural and Movement Sciences, Physiology Department at Vrije Universiteit Amsterdam, as well as the Amsterdam Movement Sciences (AMS) and the Institute for Brain and Behavior Amsterdam (IBBA). His research focuses on biomechanics and physiology in sports performance, particularly in rowing and cycling. Key areas include power output measurement, neuromuscular adaptations, and training optimization. He teaches courses such as 'Moving Matters in Health' and supervises graduate research in elite athlete performance. Research Interests: Rowing biomechanics and power output analysis Neuromuscular fatigue and training adaptations Para-cycling performance and adapted physical activity Instrumentation for sports performance monitoring Recent work highlights include a 2024 scoping review on elite para-cycling performance and advancements in blade force measurement techniques (2019). His articles explore topics ranging from muscle morphology in Olympic rowers (2018) to real-time feedback systems improving training compliance (2017). He has supervised one PhD thesis and maintains active collaborations in sports science, contributing to UN Sustainable Development Goals related to health and well-being.

Ramadan El Shatshatمشاهده پروفایل

دانشیار

• Power Distribution Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Ramadan El Shatshat is an Associate Professor (Teaching Stream) and Director of the Electric Power Engineering Program at the University of Waterloo's Department of Electrical and Computer Engineering. He holds a PhD from the University of Waterloo (2001) and is a registered Professional Engineer in Ontario. His research focuses on distribution system engineering, smart grids, renewable energy integration, and electric vehicle impact analysis. Dr. El Shatshat has received multiple awards, including the James A. Field Teaching Excellence Award (2016) and the University of Waterloo Outstanding Performance Award (2010, 2017, 2021). He teaches courses like ECE 360 (Power Systems and Smart Grids) and ECE 668 (Distribution System Engineering). Education: PhD in Electrical Engineering, University of Waterloo (2001) MSc in Electrical Engineering, University of Garyounis, Libya (1992) BSc in Electrical Engineering, University of Garyounis, Libya (1984) Research Interests: Smart grids and microgrids Optimization for distribution systems Electric vehicles and renewable energy integration AI-based monitoring techniques Awards: 2021 University of Waterloo Outstanding Performance Award 2018 Marsland Faculty Fellowship 2016 James A. Field Teaching Excellence Award Advising & Grants: Supervised/co-supervised 26 students (undergraduate, master's, doctoral, and postdoctoral) His work spans over 50 peer-reviewed publications and patents in fault detection, voltage control, and EV integration.

Patrick Dumondمشاهده پروفایل

دانشیار

• Vibration and Acoustic System Design
• Inverse Eigenvalue Methods
• Mechanical/Biomechanical Design
• +۳ مورد دیگر

Associate Professor Patrick Dumond holds a Ph.D., M.A.Sc., and B.A.Sc. from the University of Ottawa. He is affiliated with the Department of Mechanical Engineering, Faculty of Engineering. His research focuses on vibration/acoustic system design, inverse eigenvalue methods, biomechanical design, design theory, musical acoustics, and experiential engineering education. He actively contributes to the Centre for Entrepreneurship and Engineering Design (CEED) and advises students in engineering competitions. His work bridges mechanical engineering with biomedical and educational applications, emphasizing practical, hands-on learning. Education: All degrees earned at the University of Ottawa—Ph.D. (2015), M.A.Sc. (uOttawa), B.A.Sc. (uOttawa). Research interests include vibration systems, biomedical prosthetics (e.g., hip joint prostheses), and machine learning for fault diagnosis. He has published extensively on topics like bearing fault detection, data fusion, and educational program design. Professional Involvement: CEED co-development, advising student teams, and advancing multidisciplinary engineering education. Labs/Teams: Core contributor to the Centre for Entrepreneurship and Engineering Design (CEED).

Masum Billahمشاهده پروفایل

مدرس ارشد

• Data Analytics
• Telecommunications
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Masum Billah is a Senior Lecturer at Staffordshire University, affiliated with the Digital, Tech, Innovation & Business School. He joined the university in 2022 after teaching full-time at other universities since 2019. His academic journey includes a B.Sc. in Engineering from Bangladesh, an M.Sc. in Computer & Network Engineering from the University of Greenwich (UK), and a PhD in Electrical and Electronic Engineering from Staffordshire University. He also holds postgraduate certificates in Higher Education and Research Methods. As a course leader for the B.Sc. Embedded Electronic Systems Design and Development Engineer program, he teaches both undergraduate and postgraduate courses such as IoT Devices, Artificial Intelligence, and Communications. His research focuses on data analytics, telecommunications, IoT security, and healthcare research, with a particular interest in wireless sensor networks and machine learning applications. He actively promotes STEM education as a STEM Ambassador and contributes to initiatives like university competitions and school outreach. Masum’s professional memberships include Fellow of The Higher Education Academy (FHEA), IEEE, and roles in academic leadership. His work integrates flipped learning methodologies and spans engineering consultancy, short courses, and enterprise-focused projects. Recent recognitions include Whatuni Student Choice Awards 2023 for Facilities and Social Inclusion, reflecting his commitment to educational excellence.

Vivienne Szeمشاهده پروفایل

استاد

• Energy-Efficient Machine Learning
• Computer Vision
• Video Compression/Processing
• +۷ مورد دیگر

Vivienne Sze is a Professor at MIT's Department of Electrical Engineering and Computer Science (EECS), part of the School of Engineering. Her research focuses on energy-efficient computing systems for machine learning, computer vision, and video compression, with applications in autonomous systems, healthcare, and IoT. She leads projects integrating algorithmic innovations with hardware design to achieve low-power solutions for embedded and mobile devices. Her work has been recognized through prestigious awards, including the Primetime Engineering Emmy Award for co-developing the HEVC video compression standard and multiple faculty awards from tech giants like Google and Qualcomm. She co-authored the book *Efficient Processing of Deep Neural Networks*, emphasizing practical hardware-software co-design strategies. Research Interests: Energy-Efficient Machine Learning Accelerators Video Coding and Compression Standards Embedded Systems and Mobile Computing Processing-in-Memory (PIM) Architectures AI for Health Monitoring and Digital Health Sustainability in AI Infrastructure Publications highlight trends in: Optimizing DNNs for edge devices Innovations in entropy coding and CABAC Memory-efficient Gaussian-based algorithms Energy-aware design for photonic computing Awards include IEEE conference best paper awards and industry recognitions for her contributions to video coding and hardware acceleration. Her lab's collaborative efforts span academia and industry, aiming to bridge theoretical research with real-world deployable systems.

Enzo Mastinuمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Prosthetics and Neuroprosthetics
• Embedded Systems
• +۴ مورد دیگر

Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.