جست‌وجوی استاد و پژوهشگر

Anke Kirchnerمشاهده پروفایل

پژوهشگر

• Superconductivity
• Magnetic Materials
• Thin Film Deposition
• +۲ مورد دیگر

Dr. Anke Kirchner is a Researcher at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) in the Department of Functional Oxide Layers and Superconductors. Her work focuses on superconducting materials, magnetic systems, and advanced thin-film deposition techniques for applications in levitation and energy-efficient transportation. Her research spans high-temperature superconductivity, nanocrystalline magnetic materials, and REBCO coated conductor development. Key contributions include optimizing artificial pinning centers in superconducting films, analyzing grain boundary structures in permanent magnets, and pioneering microacoustic sol atomization (MASA) for thin-film deposition. Her interdisciplinary approach bridges fundamental materials science with practical engineering applications in transportation and energy. Analysis of her 15 most recent publications (2000-2024) reveals consistent focus on superconducting levitation technologies and REBCO conductor performance enhancement. Her work demonstrates evolution from foundational studies of NdFeB magnet microstructures to cutting-edge innovations in coated conductor joints and tape-stack levitation systems, with strong emphasis on nanoscale characterization and process optimization. No scientific awards are mentioned in the provided text. Information regarding student advising, doctoral supervision, or research grants is not specified in the source material. The department specializes in oxide layer engineering and superconductor development, with Dr. Kirchner contributing to IFW Dresden's internationally recognized research on quantum levitation and magnet-superconductor interactions, frequently collaborating with Prof. L. Schultz on applied superconductivity projects.

David Tseمشاهده پروفایل

استاد

• Information Theory
• Wireless Communication
• Networking
• +۳ مورد دیگر

David Tse is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (1994) and a B.A.Sc. in Systems Design Engineering from the University of Waterloo (1989). Education: B.A.Sc., Systems Design Engineering, University of Waterloo (1989) M.S., Electrical Engineering, MIT (1991) Ph.D., Electrical Engineering, MIT (1994) His research focuses on information theory , wireless communications , and networking , particularly on fundamental limits of communication systems, diversity-multiplexing tradeoffs, and capacity scaling in wireless networks. Selected work includes groundbreaking studies on MIMO channels , cooperative diversity , and spectrum sharing . Recent publications (2003–2007) analyze channel coherence, network capacity, and diversity-embedded coding, reflecting his emphasis on theoretical foundations of wireless communication. Key themes include fading channels, network optimization, and mathematical modeling using percolation theory and signal space approaches. Scientific Awards: IEEE Richard W. Hamming Medal (2019) National Academy of Engineering Member (2018) IEEE Information Theory Society Shannon Award (2017) IEEE Joint Paper Awards (2015, 2000, 2003) INFORMS Erlang Prize (2000) NSF CAREER Awards (1998) Okawa Research Grant (1997)

Michel Gendreauمشاهده پروفایل

استاد

• Operations Research
• Transportation
• Logistics
• +۳ مورد دیگر

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal . His research focuses on the application of Operations Research to Transportation , Telecommunications , and Energy Systems , with an emphasis on Stochastic Optimization and Real-time Planning . He co-directs the Intelligent Transportation Systems Laboratory and is affiliated with the CIRRELT , IVADO , and Trottier Energy Institute . Education : Ph.D. in Computer Science (1984), Université de Montréal His work includes developing metaheuristics for complex optimization problems and dynamic transportation systems . Recent projects address smart supply chains and real-time logistics . He has supervised over 40 doctoral and master's students, including notable graduates like Sanchez-Martinez, Guillen Reyes, and Parada Pradenas. Dr. Gendreau has been recognized with prestigious fellowships from IFORS (2022) and INFORMS (2010). His academic contributions span 420 publications, with recent studies appearing in Reliability Engineering and System Safety and Networks , focusing on stochastic programming , multiperiod routing , and UAV network design . He collaborates extensively with industry partners and has secured grants from organizations like FRQNT and CIRRELT . His research integrates machine learning with operations research to solve real-world challenges in transportation , energy , and logistics .

Navid Bayatiمشاهده پروفایل

دانشیار

• Renewable/Hybrid Power Systems
• Protection and Transient Analysis of Power Grids
• Microgrids and Active Energy Networks
• +۵ مورد دیگر

Navid Bayati is an Associate Professor at the University of Southern Denmark, affiliated with the Institute of Mechanical and Electrical Engineering and the Centre for Industrial Electronics. He leads the Control and Protection of Smart Grids (CAP-SG) group and focuses on renewable/hybrid power systems, microgrid protection, and grid code compliance. Education: Ph.D. in Power Systems & Microgrid Protection (2020, Aalborg University); M.Sc. in Power Systems (2017, Amirkabir University of Technology) His research spans renewable energy integration , transient analysis , grid interconnection , and digital twin applications . Recent work includes machine learning for carbon emission prediction, fault localization in DC microgrids, and supercapacitor resilience in hybrid systems. Collaborations include projects like IEA Wind Task 50 and RePoSys , addressing grid renovation, life cycle assessment, and digital twin resilience. His teaching portfolio covers power electronics , energy management , and microgrid control .

• Quantum Dot Light-Emitting Diodes (QLEDs)
• Organic Light-Emitting Diodes (OLEDs)
• Device Physics
• +۳ مورد دیگر

Prof. CHEN Shuming is a Tenured Professor and Doctoral Supervisor at the Department of Electronic and Electrical Engineering , Southern University of Science and Technology (SUSTech) . He has held academic positions since joining SUSTech in 2013 and was promoted to Professor in 2024. Education: PhD in Electronic and Computer Engineering (HKUST, 2012), Master in Optical Engineering (Sun Yat-sen University, 2008), Bachelor in Optoelectronics (South China University of Technology, 2005) Research Focus: Prof. Chen specializes in quantum dot light-emitting diodes (QLEDs) and organic light-emitting diodes (OLEDs) , with expertise in device engineering , device physics , and display/lighting applications . His work includes: Novel device structures (tandem, top-emitting, flexible) Charge transport and exciton dynamics Low-cost fabrication techniques (inkjet printing, laminating) Publication Trends: His recent papers address QLED stability , high-efficiency architectures , and AC-compatible devices , reflecting advancements in quantum dot technology and consumer electronics integration . Scientific Awards: Guangdong Natural Science Award (2024) Shenzhen Youth Science and Technology Award (2017) China Invention Association Innovation Award (2024) International Society for Information Display Outstanding Paper Award (2018) Advising and Grants: Prof. Chen has supervised 6 doctoral students, 5 master's students, and multiple undergraduates. He has led over 10 major projects, including National Natural Science Foundation grants and National Key R&D Program initiatives.

• Wireless Communication
• 6G Networks
• 5G Networks
• +۶ مورد دیگر

A. Asadi is an Assistant Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science at TU Delft. He leads the Wireless Communication and Sensing (WISE) Lab within the Embedded Systems Group, focusing on the integration of wireless communication and sensing systems for Beyond-5G and 6G networks. His research leverages machine learning to develop practical solutions for next-generation wireless networks, with strong industrial collaborations from companies such as Nokia, NEC, and National Instruments. Research Themes : Wireless Sensing, 6G Networks, Physical Layer Security, Reconfigurable Intelligent Surfaces (RIS), mmWave Communication Key Collaborations : Industry partnerships with Nokia, National Instruments, and NEC Recent research outputs highlight his work on Reconfigurable Intelligent Surfaces (RIS) for 6G systems, including liquid crystal-based designs for fast beam switching and temperature compensation. His publications emphasize practical implementations in mmWave communication, security protocols, and experimental validation. Scientific Awards : Athene Young Investigator Prize (2017) Educational Fellowship (2025) Asadi contributes to the academic community through committee roles at major conferences like IEEE INFOCOM , IEEE ICNP , and ACM CoNEXT , and his work on D2D communication has been cited as an ESI highly cited paper.

• Wireless Communications
• Antenna Systems
• Microwave Engineering
• +۶ مورد دیگر

Claes Beckman is a part-time senior researcher in the Division of Communication Systems at KTH Royal Institute of Technology. He was appointed Professor in antenna systems at KTH in 2013 and previously served as Professor in microwave engineering at HIG in 2004. Beckman was the founding director of the research center Wireless@kth in 2001. His career spans over 40 years across academia, government, and industry, with significant contributions to wireless communications, antenna systems, and spectrum management. Beckman's research interests focus on wireless communications systems, particularly antenna design, MIMO technology, 5G networks, and mobile connectivity solutions for challenging environments including transportation systems and remote regions. His work bridges theoretical research with practical implementation, resulting in numerous patents, products, and industry standards. Recent research has examined satellite-cellular integration, high-reliability communication for transportation systems, and private 5G networks for industrial applications. Analysis of his recent publications reveals a strong focus on practical wireless communication challenges, with particular emphasis on real-world implementation issues in mobile and transportation environments. His work spans theoretical antenna design, field measurements, network performance analysis, and spectrum policy considerations, reflecting his unique position at the intersection of academic research, industry application, and regulatory frameworks. Beckman has advised close to 100 M.Sc. students, 7 licentiate, and 3 PhD theses throughout his career. He has secured over $30 million in research funding through multiple Vinnova, KK-foundation, and SSF projects, including serving as KTH's Principal Investigator for the EU FP7 METIS project on 5G. His industry experience includes roles as a microwave design engineer for Ericsson and research manager for Allgon Systems. Beckman serves as a technical expert for Icomera AB and technical consultant to Proan t AB. He has significant regulatory experience, having served on international standards committees (ETSI and 3GPP) and consulted for the Swedish National Regulator for Post- and Telecommunications (PTS), the Swedish Competition Authority, Swedavia, Teracom, and the Swedish Armed Forces.

Phil Pavilionisمشاهده پروفایل

دانشیار

• Concussion Research
• Head Injury Prevention
• Virtual Reality Applications
• +۳ مورد دیگر

Phil Pavilionis is an Associate Professor of Kinesiology in the School of Public Health at the University of Nevada, Reno. With over 20 years of clinical experience as a Certified Athletic Trainer (ATC) and Certified Strength and Conditioning Specialist (CSCS), he bridges academic research with practical applications in sports medicine. His roles include teaching undergraduate/graduate courses, conducting research in the Neuromechanics Laboratory, and serving as an adjunct clinical athletic trainer for Nevada Sports Medicine. Education: Ph.D. in Neuroscience, University of Nevada, Reno (2024) M.S. in Exercise Science, California University of Pennsylvania (2007) B.S. in Health Science, University of Nevada, Reno (1995) Dr. Pavilionis specializes in head injury prevention and virtual reality applications for concussion evaluation. His research leverages clinical experience to develop standardized assessment protocols, focusing on vestibular-ocular motor screening (VOMS) using virtual reality to reduce administrator variability. Key investigations include oculomotor deficits following concussion, head impact biomechanics in football using instrumented mouthguards, and minimal detectable change metrics for neurocognitive tests like ImPACT. His work integrates neuroscience, kinesiology, and engineering to improve concussion diagnosis and management. Analysis of his 45 publications (2022-2025) reveals three dominant trends: (1) Virtual reality standardization of concussion assessments, particularly VOMS protocols; (2) Head impact monitoring using instrumented mouthguards to evaluate protective equipment like Guardian Caps; and (3) Machine learning applications for objective concussion detection through eye-tracking and biomechanical data. These studies consistently address the critical need for objective, standardized tools to overcome subjective symptom reporting in sports concussion management. Dr. Pavilionis actively collaborates with the Neuromechanics Laboratory and Nevada Sports Medicine, translating research into clinical practice. While no specific grants are documented in the provided materials, his extensive publication record (including 15 articles in 2023 alone) demonstrates sustained research productivity and interdisciplinary collaboration across neuroscience, engineering, and sports medicine disciplines.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +۵ مورد دیگر

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.

Saikat Duttaمشاهده پروفایل

استادیار

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Saikat Dutta is an Assistant Professor in the Department of Computer Science at Cornell University. He is affiliated with the Software Engineering Group and focuses on the intersection of Software Engineering and Machine Learning . His work aims to enhance the reliability of ML-based systems while applying ML techniques to solve software engineering challenges. PhD in Computer Science from University of Illinois Urbana-Champaign (Summer 2023) Postdoctoral Researcher at University of Pennsylvania Bachelor's in Computer Science and Engineering from Jadavpur University Research Interests: Dr. Dutta's research spans several key areas: Automated test generation and debugging for ML/DL libraries Using AI/ML for automated software engineering tasks Improving performance of regression tests in ML libraries Static and dynamic analysis for probabilistic programming Article Trends: His recent publications emphasize: Automated testing of ML systems Security vulnerability detection using LLMs Probabilistic program analysis Neurosymbolic learning frameworks Flaky test management in stochastic environments Stochastic regression test optimization Scientific Awards: Meta AI LLM Evaluation Research Grant (2025) Mavis Future Faculty Fellowship (2022-23) Facebook PhD Fellowship (2020-22) 3M Foundation Fellowship (2019-2020) Advising & Grants: Dr. Dutta actively recruits PhD students and postdocs. He leads research projects supported by grants from Meta AI and participates in program committees for top conferences like ICSE and ISSTA. His lab focuses on neurosymbolic systems and ML-based software verification.

• Power Electronics
• Power Converter Systems
• Motor Drive Systems
• +۲ مورد دیگر

Mahima Gupta is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison. Her research focuses on power electronics, motor drives, and power converter systems with applications in renewable energy integration and grid infrastructure. Her educational background includes: PhD in Electrical Engineering, University of Wisconsin-Madison (2019) MS in Electrical Engineering, University of Wisconsin-Madison (2015) BE in Electrical Engineering, Birla Institute of Technology & Science, Pilani (2011) Dr. Gupta's research spans multiple areas of power electronics with particular emphasis on Power Electronics Conversion & Control , Modular Multi-level Power Converters , and Motor Drive Systems . Her work addresses critical challenges in the application of Wide Band-gap Semiconductor Devices and mitigating Electromagnetic Interference Issues in modern power electronic circuits. Her research has significant implications for renewable energy integration, electric transportation, and next-generation power grid infrastructure, with a strong focus on efficiency, reliability, and power density optimization. Her recent publications demonstrate a cohesive research trajectory focused on high-performance power conversion systems, with particular attention to modular architectures, fault tolerance mechanisms, and innovative topologies that minimize energy storage requirements while maintaining high performance. Her work spans from fundamental converter designs to application-specific implementations for motor drives, wireless power transfer, and grid integration, showing increasing sophistication and real-world relevance. Dr. Gupta has received several prestigious awards including: Gerald Holdridge Teaching Excellence Award from University of Wisconsin-Madison (2018) Austrian Marshall Plan Scholar for Visiting Scholar position at Technische Universit¨at Graz, Austria (2016) Edward R. Felber Power Fellow from University of Wisconsin-Madison (2016) As a dedicated educator, Dr. Gupta advises graduate students through courses including ECE 699 (Advanced Independent Study), ECE 790 (Master's Research), and ECE 890 (Pre-Dissertator's Research). Her teaching portfolio also includes specialized courses like ECE 512 (Power Electronics Laboratory), demonstrating her commitment to both theoretical and practical aspects of power electronics education. Her research program has attracted significant scholarly attention, as evidenced by her productive publication record in top-tier power electronics conferences and journals.

Clinton Fookesمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Human Behavior Analysis
• +۷ مورد دیگر

Professor Clinton Fookes is a faculty member at the Queensland University of Technology (QUT) within the School of Electrical Engineering & Robotics . His research focuses on leveraging computer vision and artificial intelligence to develop automated systems that understand, anticipate, and interact with human behaviors, with applications in medical diagnostics, autonomous vehicles, defense, and industrial efficiency . Research areas include AI adaptability, multimodal biosignal analysis, and human-machine interaction Collaborates with CSIRO Data61, Defence Science and Technology Group, Orica, Airbus, and Sentient Vision Systems Develops systems for human action detection, infrastructure monitoring, and stress response prediction His work addresses critical challenges in AI deployment, such as environmental adaptability and reducing diagnostic errors in medical and autonomous systems. Recent publications highlight trends in self-supervised learning, zero-shot knowledge transfer, multimodal integration , and 3D reconstruction for healthcare , while exploring ethical AI use in sectors like mining and defense . Professor Fookes emphasizes interdisciplinary collaboration, bridging engineering, medicine, and social sciences to advance AI systems capable of real-world impact. His research agenda includes improving AI memory capabilities and explainability for safer, more reliable automation.

Kevin Schneiderمشاهده پروفایل

استاد پژوهشی

• Power System Analysis
• Grid Modernization
• Microgrids
• +۵ مورد دیگر

Kevin Schneider is a Laboratory Fellow at Pacific Northwest National Laboratory (PNNL), a Research Professor at Washington State University (WSU), and an Affiliate Associate Professor at the University of Washington. As manager of PNNL's Office of Electricity Subsector, he leads business development, client relations, and strategic investments in R&D for the grid sector, overseeing portfolios in component design, system modeling, hierarchical controls, secure communications, and energy storage. Dr. Schneider is internationally recognized for his expertise in power system analysis, planning, and operations. His research focuses on improving grid reliability and system flexibility by harnessing advanced grid concepts at the edge of power systems, including microgrids, energy storage, electric vehicles, distributed energy resources, and smart home appliances. At WSU, he is a researcher for the WSU and PNNL Advanced Grid Institute (AGI), implementing layered control architectures to enhance operational flexibility of critical power systems. His work spans multiple disciplines within electrical engineering and power systems, with strong emphasis on practical applications for grid modernization, particularly in grid resilience, microgrid operations, and integration of distributed energy resources. Dr. Schneider is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), where he has served in multiple technical leadership roles. His scientific contributions have been recognized with significant awards: Presidential Early Career Award for Scientists and Engineers (PCASE), 2019 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Dr. Schneider earned his B.S. in Physics and M.S. and Ph.D. in Electrical Engineering from the University of Washington. He is a licensed Professional Engineer in Washington State. His research has resulted in numerous patents related to power grid technologies, including several focused on voltage and frequency stability of distribution systems. His work has substantial implications for grid modernization efforts and the development of more resilient power systems in the face of climate change and other challenges.

• Wireless Communications
• Machine Learning
• Digital Twins
• +۵ مورد دیگر

Pierluigi Salvo Rossi is a Professor at the Department of Electronic Systems , Norwegian University of Science and Technology ( NTNU ), with additional roles as Deputy Head of Department (since 2021) and Deputy Manager at the Center for Green Shift in the Built Environment (since 2022). He also serves as a part-time Research Scientist at SINTEF Energy's Gas Technology department. Education: Ph.D. in Computer Engineering, University of Naples “Federico II”, Italy (2005) Dr.Eng. (cum laude) in Telecommunications Engineering, University of Naples “Federico II”, Italy (2002) Research Interests span Wireless Communications , Digital Twins , Machine Learning , and Statistical Signal Processing , focusing on applications like Industrial IoT , Fault Detection , and Energy Systems . His recent Publications highlight trends in Federated Learning , Graph Signal Processing , and Multi-Sensor Anomaly Detection across domains from Natural Gas Pipelines to Subsea Leakages . Scientific Awards include: Exemplary Senior Editor, IEEE Communications Letters (2018) Department Ambassador, NTNU (2016) IEEE Senior Member (since 2011) Professional Roles encompass editorial leadership (e.g., IEEE Sensors Journal) and conference organization (e.g., General Chair for IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022). He leads major funded research projects like PREFERENCE (RCN, 2023-2027) and AUTOSHIP (RCN, 2020-2028).

• Memory Systems Design
• High-Performance Computing
• Exascale Systems Architecture
• +۷ مورد دیگر

Bruce Jacob is a Keystone Professor and Full Professor in the Department of Electrical & Computer Engineering at the University of Maryland College Park's College of Engineering. His research primarily focuses on memory systems design and exascale computing architectures, with significant contributions to DRAM simulation and high-performance computing systems. Dr. Jacob received his A.B. in Mathematics from Harvard University (1988), followed by his M.S. and Ph.D. in Computer Science & Engineering from the University of Michigan (1995 and 1997 respectively). His research interests include memory systems design, exascale computing architectures, embedded systems, circuit integrity, and algorithmic composition. His recent publications demonstrate a strong focus on next-generation memory technologies, particularly ReRAM and advanced DRAM architectures. His work bridges the gap between theoretical modeling and practical implementation, with significant contributions to memory system simulation through projects like DRAMsim. His research shows a consistent trajectory toward solving the memory bottleneck problem in high-performance computing systems. Named Fellow, IEEE (2021) Multiple University of Maryland Research Leader awards (2006, 2010, 2012, 2016, 2017) Clark School of Engineering Keystone Professor (2006) National Science Foundation CAREER Award (2000) University of Maryland Award for Teaching Excellence (2004) Dr. Jacob has led significant research initiatives including the University of Maryland Exascale Systems Research and Memory-Systems Research groups. He has developed important computational artifacts such as DRAMsim (a public-domain DRAM-system simulator) and BioBench (a set of bioinformatics workloads). His work has influenced both academic research and industry practices in memory system design.