Find Academic Supervisors

• Antenna Systems
• Electromagnetic Design
• Array Beamforming
• +5 more

Oleg Iupikov is an experienced researcher at Chalmers University of Technology specializing in antenna systems. He is affiliated with the Antennas research group within the Department of Electrical Engineering, where he coordinates the OTA characterization of Antenna Systems research direction. Having received his PhD from Chalmers in June 2017, Dr. Iupikov has established himself as a specialist in electromagnetic design of antenna systems with expertise spanning active antennas with integrated frontends, array beamforming and signal processing techniques, antenna optimization and synthesis methods, and Over-The-Air characterization using reverberation, anechoic, and hybrid chambers. Dr. Iupikov's educational background includes: PhD in Electrical Engineering from Chalmers University of Technology (completed June 2017) Licentiate degree in Electrical Engineering from Chalmers University of Technology (2014) His research interests focus on electromagnetic design of antenna systems , with particular expertise in active antennas with integrated frontends, array beamforming and signal processing techniques, antenna optimization and synthesis methods, and Over-The-Air characterization using reverberation, anechoic, and hybrid chambers. His work bridges theoretical electromagnetic principles with practical wireless communication applications, especially in mmWave and emerging 5G/6G technologies. Dr. Iupikov has developed specialized knowledge in reconfigurable intelligent surfaces (RIS) and their applications for wireless testing and channel emulation. Dr. Iupikov's publication record demonstrates a clear research trajectory toward advanced antenna testing methodologies and reconfigurable intelligent surfaces (RIS). His recent work shows increasing focus on hybrid test environments that combine reverberation and anechoic chamber principles, as well as innovative applications of RIS for wireless testing and channel emulation. This represents a significant contribution to the field of antenna measurement techniques and next-generation wireless system validation. Dr. Iupikov has been actively involved in research projects, most notably as a key participant in the "OTA - Over-The-Air Characterization of Active Integrated Antennas for Mobile Systems" project (2019-2023), which involved collaboration with Ericsson and other researchers at Chalmers. His work has resulted in numerous publications in top-tier IEEE journals and conference proceedings, reflecting his significant contributions to the field of antenna systems and wireless communications. Dr. Iupikov is part of the Antennas research group at Chalmers, which maintains state-of-the-art facilities for antenna measurement and characterization. His work on hybrid test chambers represents an innovative approach to wireless device testing that combines the advantages of different testing methodologies to create more realistic and comprehensive evaluation environments for next-generation wireless technologies.

Craig MariannoView profile

Associate Professor

• Nuclear Counter Terrorism
• Nuclear Instrumentation Development
• Exercise Development
• +4 more

Craig Marianno is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University and serves as Deputy Director of the Center for Nuclear Security Science and Policy Initiatives (NSSPI). His work bridges nuclear security policy and technical instrumentation development for counter-terrorism applications. Educational Background: Ph.D. in Radiation Health Physics, Oregon State University (2000) M.S. in Radiation Health Sciences, Colorado State University (1996) B.S. in Physics, University of California at Davis (1993) Research Focus: Marianno specializes in nuclear counter-terrorism , radiation detection instrumentation , and radiological consequence management . His lab develops novel systems for spent nuclear fuel monitoring, source localization, and emergency response exercises, with recent work applying radiation physics to wildlife conservation (e.g., rhino poaching deterrence). Research integrates Monte Carlo simulations with experimental validation for nuclear safeguards. Publication Trends: His 15 most recent articles (2021-2025) reveal three dominant threads: (1) remote monitoring systems for spent nuclear fuel casks using neutron/gamma detectors, (2) directional radiation detection techniques for nuclear security applications, and (3) educational tools for nuclear security training. The work consistently combines computational modeling with field-deployable hardware solutions. Professional Affiliations: As Deputy Director of NSSPI, he leads a multidisciplinary team focused on nuclear security education and technology development. The group collaborates with national laboratories and government agencies on projects spanning border security, emergency response, and nonproliferation policy.

Jean-Luc AutranView profile

Professor

• Semiconductor device physics
• Physics of singular events
• Radiation effects on microelectronics
• +3 more

Jean-Luc Autran is a University Professor and Director of the IPR (Institut de Physique de Rennes) at the University of Rennes. He maintains an active research program in semiconductor physics and radiation effects on electronic devices. Position: University Professor and Director of IPR Institution: University of Rennes Contact: jean-luc.autran@univ-rennes.fr | +33 223233223 Office: 128 - Bat 11E Professor Autran's research focuses on semiconductor device physics, radiation effects on microelectronics, and particle-semiconductor interactions. His work spans from fundamental physical phenomena to practical applications in radiation-hardened electronics. His research encompasses both theoretical modeling and experimental validation across multiple radiation environments including atmospheric radiation, space applications, and particle accelerator settings. His recent publications demonstrate ongoing research activity in radiation effects on microelectronics, with his 2024 open-access Springer book continuing his work that began with the 2015 CRC Press publication on soft errors. His research shows consistent focus on understanding how radiation affects semiconductor devices and developing methods to predict and mitigate these effects. Member of University Institute of France As Director of the IPR, Professor Autran leads research initiatives in semiconductor physics and radiation effects. His work has significant applications in space technology, nuclear environments, and high-reliability electronic systems where radiation-induced failures must be prevented. His research bridges fundamental physics with practical engineering solutions for radiation-hardened electronics.

Yuri PashkinView profile

Professor

• Quantum Computing
• Quantum Metrology
• Nanoelectromechanical Systems
• +7 more

Professor Yuri Pashkin, a Fellow of the Institute of Physics (FInstP) and the Higher Education Academy (FHEA), holds the Chair of Experimental Condensed Matter Physics at the Department of Physics, Lancaster University . His research focuses on quantum computing, quantum metrology, and nanoelectromechanical systems using superconducting and hybrid nanocircuits. He collaborates with the Ultra Low Temperature (ULT) group and international theorists, and leads projects at the Quantum Technology Centre. Research Themes : Quantum computing, superconducting nanocircuits, Coulomb blockade devices, nanomechanical resonators, quantum information processing. Methodology : Nanofabrication in cleanrooms, mK-temperature measurements, dilution refrigeration, microwave engineering. Recent Publications highlight advancements in axion dark matter detection, superconducting parametric amplifiers, and nanomechanical resonator design. His scientific awards include the Royal Society Wolfson Research Merit Award and the Japan Society of Applied Physics Superconductors Division Best Paper Award. Quantum sensing for hidden sector research (QSHS) Josephson junction-based quantum devices Nanoelectromechanical systems for cryogenic applications Professional Activities encompass peer-review roles for journals like Nature Communications and Applied Physics Letters , and service on EPSRC panels. He actively supervises PhD students in experimental quantum technologies.

• Solar Energy Conversion
• Nanomaterials
• Semiconductor Physics
• +3 more

Matt Law is a Professor in the Department of Chemistry at the University of California, Irvine (UCI), with a joint appointment in Chemical and Biomolecular Engineering. His research focuses on nanomaterials for solar energy conversion and storage, integrating synthesis, opto-electronic characterization, and device optimization. Ph.D. in Chemistry, University of California, Berkeley (2006) B.A. in Chemistry and Government, Wesleyan University (1999) Research interests include: Semiconductor nanocrystal synthesis and assembly Surface chemistry of nanomaterials Quantum dot solar cells Nanorod photovoltaics Tandem water-splitting devices The 15 most recent publications (2025–2021) highlight his work in nanoporous metal oxides, quantum dot superlattices, plasmonic hybrids, and defect engineering for solar fuels. His methods span experimental synthesis, electron tomography, and computational modeling.

• Neuromorphic Engineering
• Edge AI
• Computer Architecture
• +4 more

Dr. A. Yousefzadeh is an Assistant Professor in Edge AI at the University of Twente (joined February 2024), affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) within the Department of Computer Architecture Design and Test for Embedded Systems. He holds a Ph.D. in Neuromorphic Engineering from IMSE (Instituto de Microelectrónica de Sevilla), where his thesis focused on bio-inspired vision processing. His research specializes in neuromorphic computing systems, with emphasis on: Designing ultra-low-power AI processors and event-based vision systems Developing hardware accelerators for spiking neural networks (SNNs) Edge AI deployment for sensor-based applications Hardware-software co-design for energy-efficient computing His publication trends (2015-2025) reveal core foci on neuromorphic processor architectures (e.g., SENECA, NeuronFlow), event-based vision processing, hardware-aware neural network optimization, and 3D integration techniques. Recent work explores activation sparsification in transformers and hybrid analog-digital neuromorphic systems. Prior to academia, he contributed to industry neuromorphic projects: Architected the NeuronFlow processor at GrAI Matter Labs (acquired by Snap) Led SENECA processor development at imec's Hardware Efficient AI group He currently leads research on next-generation edge AI processors at UT's Embedded Systems lab.

Fausto RossiView profile

Professor

• Condensed Matter Physics
• Semiconductor Physics
• Quantum Transport
• +5 more

Fausto Rossi is a Full Professor in the Department of Applied Science and Technology (DISAT) at Politecnico di Torino, where he serves as Head of the Nanophysics and Quantum Systems Research Group. With expertise spanning condensed matter physics and semiconductor quantum devices, Professor Rossi has established himself as a leading researcher in ultrafast phenomena, quantum transport, and quantum information processing. Professor Rossi earned his Laurea in Physics with highest honors (110/110 cum Laude) from the University of Modena in 1988, followed by a Ph.D. in Physics from the University of Parma in 1993. His early career included research positions at the Max-Planck Arbeitsgruppe Halbleitertheorie in Berlin, Philipps-Universität Marburg in Germany, and the University of Modena. Professor Rossi's research focuses on theoretical investigations of ultrafast processes in semiconductors, quantum transport phenomena, and quantum information processing with semiconductor nanostructures. His work spans from fundamental studies of electron dynamics in low-dimensional systems to practical applications in quantum devices. Notably, he co-developed the first Monte Carlo method for simulating ultrafast coherent phenomena in semiconductors, which has become foundational in the field. An analysis of Professor Rossi's most recent publications reveals a continued focus on topological materials, quantum transport phenomena, and semiconductor-based quantum devices. His work increasingly explores the intersection of condensed matter physics with quantum information science, particularly in the context of topological edge states, quantum quenches, and spin-orbit coupled systems. The research demonstrates a strong emphasis on both theoretical foundations and practical device applications. Member of the Editorial Board of the Institute of Physics (IOP) Member of the Semiconductor Commission (C8) of the International Union of Pure and Applied Physics (IUPAP) Professor Rossi currently supervises PhD students Giuliano Artale and Edoardo Latini, and has advised numerous doctoral candidates throughout his career. His research has been supported by significant grants including TOPMASQ (2024-2026), PNRR Mission 4 projects on quantum photonic devices, and multiple PRIN grants from the Italian Ministry of Education and Research. As Head of the Nanophysics and Quantum Systems Research Group at DISAT, Professor Rossi leads a team investigating semiconductor quantum devices, ultrafast phenomena, and quantum information processing. The group maintains strong collaborations with international research institutions and has contributed to landmark developments including the design of the first Terahertz laser.

Daniel LudoisView profile

Professor

• Power Electronics
• Electric Machines
• Non-contact Power Transfer
• +3 more

Professor Daniel Ludois is a faculty member in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with affiliations in Mechanical Engineering and Nuclear Engineering & Engineering Physics. His research focuses on power electronics, electric machines, non-contact power transfer, and sustainable energy technologies. He leads a research group developing capacitive (non-inductive) power conversion systems for applications in wind energy, electric vehicles, aerospace, and energy storage. PhD 2012, University of Wisconsin-Madison MS 2008, University of Wisconsin-Madison BS 2006, Bradley University Research Interests Ludois explores advanced power electronics architectures, including capacitive power transfer and electrostatic machines (e.g., rotors, generators, and drives). His work emphasizes sustainable energy systems, with recent breakthroughs in rotary double-layer capacitive power transfer achieving 97% efficiency at 9kW. He also designs novel antennas and high-efficiency transmitters that surpass traditional bandwidth-efficiency limits through non-linear time-invariant (non-LTI) circuit techniques. Recent Publications Trends Publications from 2023–2025 highlight advancements in: - Capacitive power systems for rotor excitation and brushless operation - Electrostatic motor design with fluid management for thermal performance - High-efficiency HF antennas overcoming size-related limitations - Liquid-immersed electronics for power converter cooling Awards & Honors 2024 U.S. Department of Energy InDEEP Prize (Stage 2) 2023 IEEE PELS Best Oral Presentation Award 2022 Vilas Faculty Fellow 2017 Moore Inventor Fellow 2016 NSF CAREER Award Education & Grants Ludois has secured multiple NSF and U.S. DOE grants for projects like the InDEEP Prize-winning distributed energy system. He mentors graduate students in courses such as Electromagnetic Design of AC Machines (ECE 713) and advises on high-power density motor design and electrostatic energy harvesting. Labs & Collaborations His research group collaborates with industry partners to develop prototypes for energy-efficient systems, including a 2kW capacitive power transfer system and novel wind turbine energy converters.

Md Maruf Hossain ShuvoView profile

Assistant Professor

• Edge AI
• Applied Machine Learning
• Deep Learning
• +3 more

Md Maruf Hossain Shuvo is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). His research focuses on artificial intelligence (AI) and edge computing, particularly in healthcare applications such as AI-driven medical decision support tools, biomedical signal/image analysis, and edge intelligence. He integrates engineering, data science, and medicine to develop hardware designs and experimental validations for cutting-edge AI algorithms. Dr. Shuvo's expertise spans AI-enabled biomedical instrumentation, deep learning for sensors and integrated circuits, and application-specific integrated circuits. His interdisciplinary work addresses challenges in computationally intensive AI techniques, emphasizing real-time healthcare solutions. He is affiliated with UTEP's IDRE (Interdisciplinary Research and Education) and AAI (Applied Artificial Intelligence) initiatives. His publications highlight advancements in explainable AI for hypoglycemia detection, wearable sensor data analysis, neuromorphic computing, and semiconductor device modeling. While no explicit awards are mentioned, his contributions to AI in healthcare and edge computing reflect significant academic impact. His research narrative includes collaborations on predictive analytics for glycemic control and hardware optimization for spiking neural networks. Dr. Shuvo's work also explores energy-efficient AI inference on edge devices and sensor-based plant health monitoring using VOC analysis.

• Electronic Design Automation
• Computer-Aided Design
• Analog/Mixed-Signal Circuit Design
• +7 more

David Z. Pan is a Professor at the University of Texas at Austin, where he leads a prominent research group specializing in Electronic Design Automation (EDA) and Computer-Aided Design for Integrated Circuits. His extensive publication record spanning from 1997 to the present demonstrates his leadership in advancing the field of electronic design. Dr. Pan's research focuses on solving fundamental challenges in analog/mixed-signal circuit design automation, physical design methodologies, and the integration of machine learning techniques with traditional EDA problems. His work bridges theoretical advances with practical applications in semiconductor design, with particular emphasis on photonic computing, quantum circuit design, and FPGA optimization. His research has evolved from traditional layout and placement algorithms to incorporate cutting-edge AI and machine learning approaches for next-generation design automation. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with EDA, including the use of large language models for circuit design automation, reinforcement learning for placement optimization, and deep learning for various aspects of the design flow. His work consistently addresses critical industry challenges while pushing the boundaries of what's possible in electronic design. Dr. Pan has advised numerous graduate students who have become significant contributors to the field, with many continuing their research careers in academia and industry. His research group has developed several influential tools and methodologies that have been adopted by both academic and industrial researchers. He actively contributes to major conferences in the field including ICCAD, DAC, ASP-DAC, and ISPD, often presenting invited talks that shape the future direction of EDA research. His work on open-source EDA tools has been particularly impactful, promoting accessibility and reproducibility in electronic design research.

Abdullahel BariView profile

Associate Professor

• Marketing Strategy
• Operations Management
• Consumer Behavior
• +4 more

Abdullahel Bari is an Associate Professor of Management at the College of Business, The University of Texas at Tyler. He holds a DBA in Management and a DE in Mechanical Engineering from Louisiana Tech University. His research spans marketing strategy, operations management, and mechanical engineering applications. Current work focuses on subscription-based service models, competitive advertising dynamics, and consumer behavior analysis. Earlier contributions include pioneering studies on microchannel heat transfer in thermal systems. Research interests combine business strategy with technical systems: 1) Subscription service innovation and customer retention strategies, 2) Advertising-inventory interactions under asymmetric competition, 3) Supply chain information sharing complexities, and 4) Microchannel cooling solutions for high-power electronics. Uses analytical modeling and empirical analysis across disciplines. Notable contributions include developing frameworks for optimizing marketing mix policies across product types, analyzing service disadoption dynamics, and advancing understanding of R-134a refrigerant behavior in microchannels. Research bridges operational efficiency with strategic marketing decisions. Education background includes mechanical engineering roots complementing business acumen, enabling unique cross-disciplinary research perspectives. Active in both management and engineering research communities through journal publications and conference engagements.

• Machine Learning
• AI-Based Audio Signal Processing
• Digital Image Processing
• +7 more

Dr. Martin Loeser is a Professor and Program Director of Electrical and Computer Engineering at the ZHAW Zurich University of Applied Sciences, School of Engineering, Department of Information Technology, Electrical Engineering and Mechatronics. He holds a Ph.D. in Computational Physics from ETH Zurich (2008) and a Master's degree in Electrical and Computer Engineering from the Technical University of Munich (2003). His educational background includes: Ph.D. in Computational Physics, ETH Zurich (2004-2008) Master of Science in Economics and Management, University of Hagen (2010-2012) Master of Science in Electrical and Computer Engineering, Technical University of Munich (1997-2003) Study Abroad Degree in Applied Physics, University of Sydney (2001-2002) Dr. Loeser's research spans multiple interdisciplinary fields with a strong focus on Machine Learning, AI-Based Signal Processing, and Digital Image Processing . His work bridges theoretical computational methods with practical applications in healthcare, education, and optoelectronics. Recent research has focused on using machine learning and virtual reality for early detection of cognitive impairments, developing AI-based educational tools, and creating medical diagnostic devices. His earlier work centered on computational physics and optoelectronic device modeling, particularly for LEDs and solar cells. His publication record shows a clear evolution from fundamental computational physics and optoelectronics (2006-2010) toward AI applications in healthcare and education (2015-present). This transition reflects his ability to adapt core computational expertise to emerging technological challenges. His recent work demonstrates strong interdisciplinary collaboration, particularly with medical researchers for cognitive impairment detection and with educational specialists for AI-enhanced teaching tools. Among his recognitions is being named "Best graduate of the year in the Master's degree program in Management" from the University of Hagen in June 2012. Dr. Loeser maintains active research collaborations across disciplines and institutions, as evidenced by his diverse publication record spanning computer science, healthcare technology, education, and traditional engineering fields. His current research program focuses on edge AI applications, particularly in healthcare diagnostics and educational technology.

Nikolaos StathopoulosView profile

Professor

• Optical Waveguides
• Nonlinear Optics
• Organic LEDs
• +5 more

Nikolaos Stathopoulos is a Professor in the Department of Electrical & Electronics Engineering at the University of West Attica since 2018, and previously held positions at the Technological Educational Institute of Piraeus (Assistant Professor from 1999, Associate Professor from 2003, and Professor from 2008). He serves as Head of the WaveComm Lab and Director of the Wireless-Optical Devices and Communication Networks Lab since 2019. His research focuses on optical waveguides, nonlinear optics, organic LEDs, and microwave pulse compression systems. Education: Received the Electrical Engineering diploma (1984) and Ph.D. (1995) from the National Technical University of Athens. Prior to academia, he worked as an RF Electronics Design Engineer and Research Engineer for over a decade. Research Interests: Explores fiber Bragg grating sensors, electromagnetic simulation, organic photovoltaics, and microwave systems. Recent work emphasizes pulse compression systems and advanced optical modeling techniques for perovskite solar cells and hybrid optoelectronic devices. Lab & Collaborations: Leads the WaveComm Lab and the Wireless-Optical Devices Lab, advancing research in optical communications and sensor technologies. His publications span over 30 years, addressing topics from nonlinear waveguides to textile-based antennas.

• Electronic Systems for Extreme Environments
• Quantum Physics Applications
• Power Electronics
• +5 more

Professor Alton Horsfall holds a position at Durham University's Department of Engineering. He earned his BSc (1993) and PhD (1997) in Physics from Durham before working at the Defence Evaluation and Research Agency. A former Reader at Newcastle University, he is now a Fellow of the Royal Academy of Engineering (since 2017). His research focuses on electronic systems for extreme environments, including nuclear reactors, jet engines, and volcanoes. Notable innovations include high-temperature power electronics operating beyond 300°C and quantum physics-based electric field mapping in semiconductors. He collaborates with institutions like Heriot Watt University and industry partners such as Rolls Royce and BAE Systems. Horsfall leads the development of Solid State Transformers and has pioneered nano-scale magnetometry for cell imaging. He has secured funding from EPSRC, Innovate UK, and major corporations, and sits on the EPSRC College and IEEE Sensors Conference Technical Programme Committee. With 27 successful PhD supervisions, he was honored as the Best Lecturer in Electrical Engineering (2014). Current projects include radiation-resistant amplifiers and high-temperature current monitors. Horsfall is Guest Editor for a special issue on Sensors for Extreme Environments in the Sensors Journal, highlighting his leadership in advancing frontier technologies.

Mirko PoljakView profile

Associate Professor

• Nanoelectronics
• Quantum Transport
• 2D Materials
• +4 more

Associate Professor Mirko Poljak holds a PhD in Nanoelectronics from the Faculty of Electrical Engineering and Computing (FER), University of Zagreb, supervised by Professors T. Suligoj (FER) and K. L. Wang (UCLA). His research focuses on quantum-transport modeling of nanoscale devices, including graphene, 2D materials, and ultra-thin semiconductor structures. He has authored over 30 journal papers and 50 conference papers, cited over 700 times. Poljak completed a Fulbright Fellowship at UCLA's Device Research Lab (2011-2012) and research visits at Queen's University Belfast (2014-2015). He reviews for top journals like Nature Electronics and IEEE Transactions on Electron Devices. His scientific awards include the Annual Science Award (2017), FER's World-Class Research Award (2016), and Fulbright Fellowship (2011). He is a Senior Member of IEEE and affiliated with MIPRO. Research interests span TCAD-based nanodevice simulation, topological superconductors for Majorana modes, and 2D material FETs. His work emphasizes atomistic quantum transport models for next-generation nanoelectronics. Affiliations: Laboratory for Micro and Nano Electronics (FER) Professional Memberships: IEEE, IEEE Electron Devices Society, Croatian Society MIPRO