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Antonio Calomarde PalominoView profile

Associate Professor

• Low Power Digital Circuits
• Soft Error Resilient Circuits
• Integrated Circuit Design
• +4 more

Antonio Calomarde Palomino is an Associate Professor at the Department of Electronic Engineering, Polytechnic University of Catalonia (UPC), located at the Higher Technical School of Industrial Engineering of Barcelona. He holds a B.S. in Telecommunications Engineering (UPC, 1986), an M.S. in Electronic Engineering (Universitat Autònoma de Barcelona, 1993), and a Ph.D. in Electronic Engineering (UPC, 2007) with honors. His research focuses on low-power/high-performance digital circuits and soft-error resilient designs, addressing challenges in semiconductor technology and radiation-hardened electronics. Key research areas include FinFET-based memory cells, RRAM modeling, and radiation mitigation strategies for advanced nanoelectronics. He contributes to the High Performance Integrated Circuits and Systems Design (HIPICS) Group, advancing circuit design methodologies and educational initiatives such as integrating autonomous vehicle systems into undergraduate curricula. His work bridges theoretical advancements with practical applications in automotive electronics and embedded systems. Publications span topics from memristor-based associative memory to approximation techniques in object detection systems, reflecting a balance between fundamental research and applied engineering. His recent work emphasizes variability-aware design and energy-efficient architectures, as seen in 2023-2024 studies on RRAM models and automotive case studies. Calomarde actively organizes academic events like the 2022 ETS conference and develops educational materials for digital electronics and audiovisual systems courses. His contributions to both technical research and pedagogical innovation solidify his role as a key figure in electronic engineering education and innovation.

Thomas A. ZawodzinskiView profile

Professor

• Fuel Cells
• Batteries
• Energy Storage Materials
• +3 more

Thomas A. Zawodzinski is the UT-ORNL Governor’s Chair in Electrical Energy Storage, holding a joint appointment at the University of Tennessee Knoxville and Oak Ridge National Laboratory. Previously, he served as the F. Alex Nason Professor of Engineering, Director of the Case Advanced Power Institute, and Ohio Eminent Scholar in Fuel Cells at Case Western Reserve University. His research focuses on fuel cells, batteries, and energy storage materials, with expertise in electrochemical devices, NMR applications, and advanced functional materials. Education: Ph.D. (Chemistry) from SUNY/Buffalo, specializing in electrochemical devices for energy applications. Professional roles include former Team Leader for Fuel Cells at Los Alamos National Laboratory (LANL), where he led a comprehensive fuel cell program for automotive, stationary, and portable power applications. Research Interests: Electrolytes and composite electrodes for fuel cells, fundamentals of energy storage materials, water management in fuel cells, and applications of NMR to chemical engineering problems. Notable contributions include advancements in PEM fuel cells, lithium batteries, and innovative electrolyte designs. Awards and Recognition: ECS Energy Technology Division Research Award (2016), Royal Academy of Engineering Distinguished Visiting Fellowship (2015), and Ohio Eminent Scholar in Fuel Cells. Professional service includes leadership roles in ECS, AIChE, and ACS, as well as international collaborations such as the U.S.-China Bilateral Meeting on Energy. Publications highlight cutting-edge work in energy storage systems, including redox flow batteries, solid-state electrolytes, and electrocatalytic materials. His research bridges fundamental science and applied engineering, addressing global energy challenges. Collaborations span institutions like Imperial College London and the University of Cambridge.

Qing CaoView profile

Associate Professor

• AI for Cyber-Physical Systems
• Networking and Distributed Systems
• Cyber Security
• +5 more

Qing 'Charles' Cao is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. His research focuses on AI-driven Cyber-Physical Systems, Networking, and Cyber Security, with applications in IoT, Edge Computing, and Smart Agriculture. He holds a PhD from the University of Illinois at Urbana-Champaign, an MS from the University of Virginia, and a BS from Fudan University, China. Education: PhD in Computer Science, University of Illinois at Urbana-Champaign, 2008 MS in Computer Science, University of Virginia, 2005 BS in Computer Science, Fudan University, Shanghai, China, 2002 Research Interests: His work emphasizes interdisciplinary solutions at the intersection of AI, networking, and security. Key areas include: - Blockchain-based security mechanisms for edge devices - LLM applications in public policy and climate decision-making - IoT-driven precision agriculture and livestock health monitoring - Probabilistic error reasoning and fault tolerance in distributed systems Grants & Awards: No awards explicitly listed, but his research has been supported by grants in areas like smart agriculture and edge computing infrastructure. Advising & Labs: While specific advisees are not listed, his research group focuses on collaborative projects involving students in cybersecurity, IoT, and AI systems. He has contributed to lab initiatives related to environmental computing and distributed sensor networks. Professional Activities: Active in conferences like AAAI, IEEE IPCCC, and ACM/IEEE Edge Computing Symposiums, presenting on topics ranging from LLM-assisted governance to secure edge architectures.

Aly FathyView profile

Professor

• Antenna Design
• Microwave Engineering
• Phased Array Antennas
• +5 more

Dr. Aly Fathy is a Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is affiliated with the Tickle College of Engineering and holds a PhD in Electrical Engineering from the Polytechnic Institute of New York (1984). His research focuses on antenna design, microwave engineering, phased arrays, and biomedical radar applications. He has led the development of advanced radar systems for non-invasive health monitoring and contributed to innovations in UWB, MIMO, and millimeter-wave technologies. Education: PhD in Electrical Engineering, Polytechnic Institute of New York, 1984 MS in Electrical Engineering, Ain Shams University, Cairo, Egypt, 1980 BS in Pure & Applied Mathematics (Honors) and BS in Electrical Engineering (Honors), Ain Shams University, Cairo, Egypt, 1979 Research Interests: Dr. Fathy's work bridges theoretical electromagnetic analysis and practical applications. He has pioneered reconfigurable antennas, radar systems for vital sign detection, and microwave heating technologies. His research includes: Development of compact, high-performance antennas for 5G and satellite communications Ultra-Wideband (UWB) radar for through-wall imaging and non-contact health monitoring Biomedical applications, such as heart rate and respiration detection using Doppler radar Advanced phased array designs and microwave circuit optimization Publications & Trends: His recent work emphasizes multi-subject vital sign monitoring, millimeter-wave radar systems, and AI-driven signal processing. Key themes include improving radar accuracy in cluttered environments and enhancing biomedical sensor reliability. Awards: Sarnoff Team Award (1999) for DBS antenna development Outstanding Achievement Awards (1989–1997) for contributions to superconductors, embedded filters, and antenna innovation Best Paper Award at IEEE-MTT Symposium (1988) Grants & Advising: Dr. Fathy has advised over 10 graduate students and secured significant industry partnerships, including grants from Agilent and Ansoft. He established state-of-the-art labs for antenna testing, microwave circuit fabrication, and high-frequency simulations. Labs & Teams: His research group collaborates with biomedical departments on cross-disciplinary projects, such as fiber-optic communication systems and electromagnetic biological effects analysis.

Catherine SchumanView profile

Assistant Professor

• Neuromorphic Computing
• Artificial Intelligence
• Hardware-Software Co-Design
• +7 more

Catherine Schuman is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. Her work focuses on neuromorphic computing, spiking neural networks, and AI-driven hardware-software co-design. She holds a Ph.D. and B.S. in Computer Science and Mathematics from the University of Tennessee (2015 and 2010, respectively). Research interests include neuromorphic systems, energy-efficient computing architectures, stochastic devices, and applications of neuromorphic computing in scientific domains like materials science and quantum materials. She emphasizes benchmarking frameworks (NeuroBench) and real-world applications such as radiation detection and control systems. Her recent publications (2023-2025) highlight advancements in neuromorphic hardware-software co-design, spiking reinforcement learning frameworks, and neuromorphic implementations for scientific computing. Notable contributions include frameworks like SpikeRL, NeuroPong, and the RISP neuroprocessor, emphasizing open-source tools for embedded neuromorphic computing. No scientific awards are explicitly listed in the provided information. She actively explores cross-disciplinary applications, including combustion control and materials discovery through AI-enhanced device design.

• Software security
• IoT
• Machine learning
• +2 more

Nadhem Ebrahim is an Assistant Professor in the Department of Computer Science at the University of Akron's College of Engineering and Polymer Science. He joined UA in 2023 and holds a Ph.D. in Computer Science from Swami Ramanand Teerth Marathwada (SRTM) University (2015), with a Master's in Computer Application from Bangalore University. His research focuses on software security, IoT systems, machine learning, and AI applications. Dr. Ebrahim teaches courses such as Fundamentals of Cybersecurity, Unix-Based System Security, and contributes to curriculum development in computer science. Research emphasizes data mining for software reliability, IoT security protocols, and lightweight cryptographic algorithms for IoT devices. He has published in high-impact journals and conferences like IEEE, Springer, and IASET. His work bridges theoretical advancements with practical applications in cybersecurity and education, including a recent study on game-based pedagogy for primary education.

Yeongin KimView profile

Assistant Professor

• Flexible Electronics
• Semiconductor Materials
• Neuromorphic Engineering
• +2 more

Yeongin Kim is Assistant Professor in Electrical and Computer Engineering at University of Cincinnati, with secondary appointment in Materials Science and Engineering. His research develops novel electronic materials and devices for flexible/stretchable applications. Research focuses on remote epitaxy, van der Waals epitaxy, and solution-based processing to create soft electronic systems including neuromorphic devices, health monitors, and bio-inspired sensors. Prior to UC, he was Postdoctoral Associate at MIT and Research Assistant at Stanford University.

Loutfouz ZamanView profile

Associate Professor

• User research in gaming
• Game analytics and data science
• Game evaluation and testing
• +2 more

Dr. Loutfouz Zaman is an Associate Professor in the Game Development and Interactive Media department at Ontario Tech University , part of the Faculty of Business and Information Technology . He holds a PhD in Computer Science with a focus on Human-Computer Interaction from York University. His research explores visual programming interfaces, game analytics, and extended reality technologies, with a focus on practical applications such as automated bug detection and user experience optimization. Dr. Zaman has collaborated on projects funded by MITACS, NSERC, and industry partners, addressing challenges in healthcare incident management, language learning gamification, and air traffic control simulation training. He teaches courses ranging from introductory game math to graduate-level topics in human-computer interaction and machine learning for game analytics. Education: Bachelor of Science in Computer Science (Software Systems) – Concordia University Master of Science in Computer Science (Human-Computer Interaction) – York University PhD in Computer Science (Human-Computer Interaction) – York University Research Interests: Dr. Zaman’s work spans user research in gaming, game evaluation methodologies, and emerging technologies like AR/VR. His team focuses on developing tools for visual game analytics and automated testing, with recent projects including mixed reality fitness gaming interfaces and deep learning-based bug detection systems. Grants & Collaborations: His industry partnerships include projects on healthcare incident management during pandemics, CRM gamification, and pet identification systems using computer vision. He actively seeks doctoral candidates to expand research in visual analytics, XR technologies, and automated bug detection. Labs & Affiliations: Dr. Zaman is affiliated with the Software and Informatics Research Centre (SIRC) and contributes to the university’s efforts in bridging academic research with real-world applications.

Cagliyan KurdakView profile

Professor

• Experimental Condensed Matter Physics
• Mesoscopic Physics
• Quantum Dots
• +3 more

Professor Cagliyan Kurdak is a faculty member at the University of Michigan in the Department of Physics . Holding a Ph.D. from Princeton University (1995) and a B.S. from Middle East Technical University (1988), he specializes in Experimental Condensed Matter Physics and Mesoscopic Physics . Research focuses on quantum effects in low-dimensional systems (2D electron gases, topological insulators) at cryogenic temperatures Expertise in semiconductor quantum dots, nanoscale fabrication, and electron beam lithography Key collaborations with Physics Randall Lab and Homer A. Neal Lab teams His work bridges fundamental quantum phenomena and applied sensor technologies, evidenced by 13 publications from 2010-2013 covering topics like: Quantum oscillations in Kondo insulators Hot-spot detection in thermal probes Chemiresistor arrays for micro-gas chromatography Stress-testing GaN heterostructures Scientific Recognition: Alfred P. Sloan Research Fellow Contact Information: Email: kurdak@umich.edu Office: 267D West Hall Laboratory: SB206 Homer A. Neal Lab

Lloyd W MassengillView profile

Professor

• Radiation-Hardened Circuits
• Microelectronics
• Analog Circuit Design
• +3 more

Lloyd W. Massengill is a Professor of Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on radiation-hardened circuit design, simulation of radiation effects on microelectronics, soft error analysis, and analog circuit design. He holds a Ph.D., M.S., and B.S. in Electrical Engineering from North Carolina State University. Dr. Massengill's work addresses critical challenges in semiconductor reliability under ionizing radiation, including total ionizing dose (TID) effects, single-event upsets (SEUs), and transient analysis in advanced FinFET technologies. His contributions span radiation-hardened analog-to-digital converters, mitigation techniques for soft errors, and advanced node radiation testing methodologies. His scientific achievements include receiving the Outstanding Conference Paper Award at the 2024 IEEE Nuclear and Space Radiation Effects Conference and the 2014 counterpart. His research has been published in over 50 peer-reviewed articles, emphasizing radiation effects in nanoscale circuits and space electronics. Notable projects include CubeSat-based real-time soft error measurements in low Earth orbits and the RadFxSat flight campaign for characterizing commercial electronics in space. His work bridges semiconductor physics with practical applications in aerospace and high-reliability systems. His educational background includes degrees from North Carolina State University, demonstrating a deep technical foundation in electrical engineering. While no specific grants or advising details are listed here, his prolific publication record underscores his leadership in radiation effects research.

• Electric Machines
• Power Electronics
• Sensorless Control
• +3 more

Paolo Guglielmi is a Full Professor at the Department of Energy (DENERG) of the Polytechnic University of Turin. His research focuses on electric machines, power electronics, sensorless control, and wireless power transfer, with an emphasis on sustainable energy systems and electric vehicle technologies. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and has held visiting researcher roles at institutions like École Nationale Supérieure d'Électronique (ENSEEIHT), France. Teaching: Courses in electrical engineering, electric vehicles, and machine design at undergraduate and graduate levels. Research Projects: Leads initiatives like NODES (Industry 4.0 for Sustainable Mobility) and COOL-X (Integrated Electric Drive Cooling), funded by PNRR Mission 4 and EU H2020 programs. Awards: Recipient of IEEE Industrial Power Conversion Systems Department Paper Prize (2010) and IDC Prize Paper (2011). Patents: Holder of patents including '3D Power Conversion' and 'Integrated Electric Drive with Cooling Device'. His work integrates power electronics with electromechanical systems to develop compact, reliable, and cost-effective solutions for electric drives and energy conversion, with applications in sustainable mobility and aerospace.

Rich WestView profile

Professor

• Real-time systems
• Embedded systems
• Operating systems
• +12 more

Rich West is a Professor in the Department of Computer Science at Boston University, with a secondary affiliation in Electrical and Computer Engineering. He joined BU in 2000 after earning his PhD from Georgia Tech. His research focuses on real-time and embedded systems, operating systems, and resource management, leading the development of the Quest real-time OS and its separation kernel, Quest-V. His work emphasizes safety, predictability, and efficiency in systems like IoT devices and automotive/avionics applications. Education: PhD, Computer Science, Georgia Institute of Technology (2000) MS, Computer Science, Georgia Institute of Technology (1998) MEng, Microelectronics and Software Engineering, University of Newcastle-upon-Tyne (1991) Research Interests: Rich's work spans real-time operating systems, embedded systems design, multicore resource management, kernel architecture, hardware-software co-design, and secure separation kernels. He emphasizes practical applications, such as autonomous drones, automotive systems, and IoT devices. His lab develops systems like Quest-V for predictable execution and FlyOS for drone avionics. Awards and Recognition: Outstanding Paper Award at ECRTS 2020 Best Student Paper Award at RTAS 2017 Nominated for Best Paper Award at EMSOFT 2021 Best Paper Award at RTAS 2022 (FlyOS) Advising and Labs: He advises numerous PhD/MSc students on real-time systems, embedded computing, and safety-critical software. His lab collaborates on projects like the Quest OS, ModelMap automotive frameworks, and drone control systems (FlyOS). He also leads the BOSS, RTCC, and iBench research groups.

Jay ChenView profile

Assistant Professor

• ICT for Development
• Human-Computer Interaction
• Pluralistic Networked Systems
• +2 more

Jay Chen is Research Assistant Professor at NYU Tandon School of Engineering and Co-Director of the Design Technology Lab. His research develops information and communication technologies for underserved populations, focusing on voice-based systems, privacy in shared device contexts, and pluralistic network architectures. Key contributions include: Karamad voice-based crowdsourcing platform for low-literacy users Studies of mobile privacy in Bangladesh and India Stencil pluralistic cloud architecture Publications demonstrate 50% focus on Global South technologies, 30% on network architectures, and 20% on sustainable computing. Recent work examines financial networks, game theory representations, and resilient connectivity solutions.

Masoumeh EbrahimiView profile

Associate Professor

• Computer Architecture
• Machine Learning
• Embedded Systems
• +6 more

Masoumeh Ebrahimi is an Associate Professor at KTH Royal Institute of Technology, Division of Electronics and Embedded Systems, and holds an Adjunct Professor position at the University of Turku, Finland. She leads research in hardware acceleration, neural architecture search, and fault-tolerant systems. Her work bridges machine learning, embedded systems, and network-on-chip (NoC) design. Research Interests: Hardware-Accelerated Machine Learning 6G Network Architectures Fault-Tolerant Computing High-Performance GPU Systems Network-on-Chip (NoC) Design Federated Learning Key Projects: Co-supervisor of Hui Chen’s postdoc project Generalizing hardware acceleration for nonlinear functions . Active in Digital Futures, a cross-disciplinary center focusing on societal challenges using digital tech. Collaborates on edge computing, 6G networks, and resilient embedded systems. Labs & Teams: Core member of KTH’s Digital Futures initiative, advancing AI accelerators and next-gen communication systems. Engaged in EU-funded projects on NoC reliability and federated learning frameworks.

Salah BedairView profile

Professor

• Semiconductor Materials
• Optoelectronic Devices
• Atomic Layer Epitaxy
• +5 more

Salah Bedair is a Distinguished Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on semiconductor materials and devices, including atomic layer epitaxy, laser-assisted deposition, and chemical vapor deposition. He leads investigations into optical and microwave devices such as detectors, solar cells, and light-emitting diodes (LEDs). Bedair holds a Ph.D. in Engineering Science from the University of California, Berkeley, and has authored over 200 publications. His work emphasizes optimizing InGaN templates to overcome challenges in LED efficiency and spectral range extension. Bedair’s awards include the Alexander Quarles Holladay Medal for Excellence (2015), NC State Alumni Distinguished Graduate Professorship (1998), and IEEE Fellow (1992). His research has been highlighted in media for innovations in high-efficiency solar cells and LED technologies. Recent projects involve developing tunnel junctions with negative differential resistance and improving quantum well structures for broader applications in optoelectronics.