Vittorio Zaccaria is Associate Professor at Politecnico di Milano's Department of Electronics, Information and Bioengineering. His research focuses on secure embedded systems with emphasis on hardware security and cryptographic implementations. Research interests include: Side-channel attack mitigation Formal verification methods Secure processor architecture Probabilistic security models Hardware countermeasures His publications demonstrate expertise in developing mathematical frameworks for analyzing information leakage and implementing robust security measures for embedded devices. Recent work focuses on spectral analysis of probing security and formal verification of cryptographic implementations.
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.
Eric Kerrigan is a Professor of Control and Optimization at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He holds a joint appointment in the Department of Aeronautics. His research focuses on Model Predictive Control (MPC), numerical optimization techniques, and their applications in aerospace, renewable energy, and information systems. Key projects include developing real-time optimization algorithms for embedded systems, co-design frameworks for closed-loop systems, and drag reduction in aerodynamics. He has supervised over 30 PhD students and post-doctoral researchers, many of whom have secured academic positions. Education: PhD in Control Engineering from the University of Cambridge and BSc in Electrical Engineering from the University of Cape Town. Research interests emphasize robust control methods, dynamic optimization, and interdisciplinary applications. Notable contributions include the ICLOCS (Imperial College Optimal Control Software) toolbox and frameworks for energy-efficient UAV communication networks. His work is funded by EPSRC, the European Commission, and industry partners like Siemens and ESA. Funding and collaborations include grants from the Royal Academy of Engineering and Royal Society, with consulting roles in industrial control systems. Editorial roles include Associate Editor for IEEE Transactions on Automatic Control and former Senior Editor for IEEE Transactions on Control Systems Technology . Labs and affiliations include the Control and Power Research Group, Energy Futures Lab, and Space Lab at Imperial College.
Alan Hu is a Professor in the Department of Computer Science at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on formal verification, algorithms, computer architecture, and electronic design automation. He teaches courses such as Intermediate Algorithm Design and Analysis (CPSC 320) and Introduction to Formal Verification and Analysis (CPSC 513). Dr. Hu has received notable awards, including the IEEE Council on Electronic Design Automation Outstanding Service Award and the IBM Faculty Award. His work emphasizes scalable verification techniques, SAT-based algorithms, and optimization in cloud computing and hardware systems. His research spans formal methods for hardware/software systems, including verification of embedded software, cache coherence, and network function virtualization. Notable contributions include advancements in SAT modulo theories, data race detection in heterogeneous systems, and cloud resource allocation frameworks like Cospot. Dr. Hu has been actively involved in teaching and curriculum development, consistently offering courses on algorithms, formal verification, and software design since 2000. His publications reflect a blend of theoretical foundations and practical applications in electronic design, cloud infrastructure, and verification tools. His scientific achievements include innovations in post-silicon validation, emulation-based coverage reduction, and formal analysis for debug trace optimization. He also contributes to the academic community through conference organization and editorial roles in formal verification and computer-aided design.
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.
Aishik Mandal is an ELLIS PhD student at UKP Lab, Technical University of Darmstadt, supervised by Prof. Iryna Gurevych and co-supervised by Prof. Aurélien Bellet. He completed his Master's in Artificial Intelligence, Machine Learning and Applications and Bachelor's in Electronics and Electrical Communication Engineering at IIT Kharagpur, where he received the Silver Medal for best academic performance in his department. His research focuses on Dialogue Systems, Multimodality, and Privacy , with significant contributions to mental health AI applications, depression detection, and culturally diverse multilingual visual question answering. His work combines advanced machine learning techniques with practical applications for healthcare and human-computer interaction. Mandal's research output shows a clear progression from foundational work in dialogue understanding and representation learning to more specialized applications in mental health and privacy-aware AI systems. His recent publications demonstrate expertise in multimodal fusion techniques, ordinal classification for depression severity prediction, and developing culturally sensitive AI benchmarks. Silver Medal from Electronics and Electrical Communication Engineering department at IIT Kharagpur DAAD WISE scholarship for internship at TU Munich Charpak Lab scholarship for internship at INRIA Paris GKF International Internship scholarship for INRIA Paris Mandal has been actively involved in research collaborations across multiple institutions, including IIT Kharagpur's Centre of Excellence in AI, Complex Network Research Group, Technical University of Munich, and INRIA Paris. His academic journey shows a strong foundation in both theoretical computer science and practical AI applications, with increasing specialization in multimodal dialogue systems and privacy-conscious AI development.
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.
Philip Jackson is a Professor in Machine Audition at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. His research focuses on audio-visual machine learning, spatial audio technologies, object-based media production, and responsible AI applications. He has over 200 publications and an h-index of 30, contributing to projects like Nephthys, BALTHASAR, and SAVEE. He served as an associate editor for Computer Speech and Language and reviewer for major journals like IEEE/ACM Transactions on Audio, Speech and Language Processing. Key research interests include sound localization, audio-visual tracking, reverberation modeling, and ethical implications of AI in media. His work spans datasets such as Tragic Talkers, SurrRoom, and ForecasterFlexOBM, advancing immersive audio-visual systems and personalized media experiences. Notable projects include spatial audio reproduction for VR, parametric room acoustics, and citizen council research on algorithmic transparency. He has advised over 20 PhD/Master’s students and collaborates with industry on applications like the Catalan Pavilion's Venice Biennale installation. His grants include UK postdoctoral fellowships and leadership in EU-funded initiatives like UDRC2 and QESTRAL.
Dr. David Ricardo Sánchez Montero is an Associate Professor in the Department of Electronic Technology at the University Carlos III of Madrid. He serves as the Secretary of the Department and specializes in advanced optical fiber technologies with applications in telecommunications, aerospace, and renewable energy systems. His research focuses on Radio-over-Fiber systems, 5G/6G network infrastructure, power-over-fiber implementations, and sensor networks using polymer optical fibers. Education and professional background include expertise across multiple disciplines such as electronics, industrial engineering, and materials science. Key research areas involve optimizing fiber optic deployments for next-generation networks, analyzing signal integrity in 5G fronthaul scenarios, and developing energy-efficient solutions for telecommunication systems. Publications highlight contributions to multicore fiber designs, power delivery over optical links, and sensor applications in aerospace environments. His work bridges theoretical advancements with practical implementations in emerging technologies like 5G and IoT connectivity. Active in collaborative projects and academic activities, he maintains a research group within the Displays and Photonic Applications Group at UC3M.
Clara Marina Sanz Garcia is an Associate Professor in the Electronic Technology Department at Charles III University of Madrid (UC3M). She is a member of the Electronic Power Systems Group (GSEP) and teaches courses in Electronics, Mechanical Engineering, and Telecommunications. Her research focuses on power electronics with applications in photovoltaic systems, electric vehicles, and aerospace power systems. Dr. Sanz Garcia's research spans multiple critical areas of power electronics including DC-DC converters, photovoltaic systems integration, solid-state power controllers, and impedance modeling. Her work demonstrates particular expertise in converter topologies for renewable energy applications, with numerous publications on specialized converter designs like the AFZ converter, autotransformer forward-flyback converter, and Buck-Boost Modified Series Forward converter. She also has significant contributions in hardware-in-the-loop simulation techniques and digital control implementations using FPGAs. Her recent publications reveal a strong trend toward practical implementation of power electronic systems with a focus on stability analysis, control strategies, and system integration. The research consistently bridges theoretical modeling with practical applications, particularly in renewable energy systems and transportation electrification. Many of her papers address the challenges of integrating power electronic converters into larger systems, with special attention to stability issues that arise in cascaded converter architectures. Convertidor CC-CC reductor y elevador, método de conversión CC-CC, y planta fotovoltaica que incorpora dicho convertidor (2019) Active control procedures for the connection of very capacitive loads using SSPCs (2017) Active control procedures for the connection of very capacitive loads using SSPCs (2014) Método y dispositivo de transformación de corriente continua en corriente alterna (2014) Método y sistema de alimentación de una carga constituida por una pluralidad de cargas elementales, en particular de LED (2013) Dr. Sanz Garcia has supervised at least one doctoral thesis on novel converter families for photovoltaic applications and has been principal investigator on multiple research projects including 'Estrategias de modelado y control para la estabilización de la InterCONEXión de convertidos electrónicos de POTencia' (2018-2021) and 'SMARTMOD-Habilitación de funciones inteligentes en convertidores de potencia modulares para la movilidad eléctrica' (2022-2025). She has secured funding from diverse sources including the Ministry of Economy, European Commission, and industry partners like Siemens Healthcare. She leads research within the Electronic Power Systems Group (GSEP), focusing on power converter design, stability analysis, and applications in renewable energy systems and transportation electrification. Her team works on both theoretical modeling and practical implementation, with strong connections to industry applications in aerospace, railway systems, and medical equipment.
Maxime Pelcat is a Full Professor at INSA Rennes, France, affiliated with the Department of Electronics, Computer Science and Systems within the College of Engineering. His research is conducted in the VAADER team at IETR, a CNRS research unit (UMR 6164), where he leads advanced work in sustainable, secure, and open embedded systems. PhD in Signal Processing, INSA Rennes, 2010 Habilitation (HDR), Université Clermont Auvergne, 2017 Researcher at Fraunhofer IIS, Germany Contractor at France Telecom R&D Faculty at INSA Rennes since 2011 Maxime Pelcat's research focuses on sustainable electronics, open hardware (especially RISC-V), hardware security against side-channel attacks, and machine learning at the edge. He emphasizes energy efficiency, system sovereignty, and end-of-life sustainability in electronic design. His work integrates models of computation, heterogeneous architectures, and reconfigurable hardware to improve system efficiency and design productivity in embedded signal processing and telecommunications. His publications and projects reflect a strong trend in sustainable computing, embedded AI, and secure system design. The work spans FPGA-based acceleration, MPSoC optimization, deep learning integration, and dataflow programming models, particularly applied to vision systems and signal processing. Scientific Awards and Honors: Best PhD Award 2016 (Fondation Rennes 1) - for advisee Erwan Nogues Chaire d’Excellence France-Nokia 2024 Maxime Pelcat has co-advised 11 PhD students in areas including deep learning on FPGAs, intrusion detection, eavesdropping exploitation, multi-view vision systems, and reconfigurable architectures. He has participated in major research projects including 1 H2020 ICT, 1 H2020 ITN, 1 NSF, 1 FUI, and 2 ANR projects. He leads the French PIA4 CMA project ESOS (Electronics: Sustainable, Open, Sovereign), funded by France2030. He has authored over 80 peer-reviewed publications and a Springer book on multi-core prototyping. He is a key member of the VAADER research team at IETR and leads the Sustainable Computing Workshop. He has held leadership roles in major conferences, including Program Chair of SAMOS-IC 2019 and General Chair of IEEE SiPS 2022 and GDR SOC2 2020. He was an elected member of CNRS CoNRS Section 07 (Information Science) from 2018 to 2021.
Brendan Jackman is a Lecturer in the Department of Computing and Mathematics at South East Technological University (SETU), where he contributes to the Automotive Control Group. His work bridges computer science and automotive engineering, focusing on embedded and real-time systems for intelligent vehicles. His research interests include: Automotive control systems and embedded software In-vehicle networks (CAN, FlexRay, OSEK) Model-driven architecture and UML for automotive software Advanced Driver Assistance Systems (ADAS) Fuzzy logic and intelligent control systems Automotive diagnostics and ODX standards His publications from 2005 to 2018 reveal a strong focus on real-time automotive software, network integration, and intelligent diagnostics. Key themes include timing modeling, migration from CAN to FlexRay, and model-based development using UML and MDA. His work often appears in SAE Technical Papers and IEEE conferences, indicating strong industry and academic engagement. Brendan Jackman has supervised at least five research projects, reflecting his role in mentoring students in automotive software and control systems. His research has practical applications in adaptive cruise control, power steering, and diagnostic gateways. He has contributed to software integration frameworks that improve vehicle software quality and interoperability across OEMs. He is actively involved in teaching and research, with no indication of retirement or part-time status. His ORCID profile and institutional page confirm ongoing academic activity.
Dr Tomasz Kazmierski is an Associate Professor in the Department of Electronics and Electrical Engineering at the University of Southampton. His research focuses on hardware security, VLSI design, and energy-efficient computing. He leads projects such as the EPSRC-funded 'Next Generation Energy-Harvesting Electronics' and 'Event-based parallel computing (POETS)'. Current Projects: Event-based parallel computing (EPSRC) Next Generation Energy-Harvesting Electronics (EPSRC) Supervision: PhD students Peiyao Sun, Xuan Ji, and Haosen Yu Research Interests: Hardware Security & Trojan Resilience Approximate Computing Ultra-Low Power Circuits Neural Network Accelerators Recent work emphasizes secure design of neural network hardware, optimization of VLSI interconnects, and aging-aware circuit techniques. His publications span conferences like IEEE ISCAS and IEEE AsianHOST, addressing topics from fault-tolerant signal processing to energy-harvesting systems.
Connor McCann is an Assistant Professor in the Robotics Engineering department at Worcester Polytechnic Institute (WPI). He leads the PRiSM Lab, which focuses on hybrid-stiffness mechanisms blending rigid and soft robotics to enhance robotic capabilities. His work integrates first-principles modeling with application-driven design for areas like robotic grasping, wearable robotics, and bioinspired systems. Education: Ph.D. and M.S. in Mechanical Engineering from Harvard University (2025, 2021), and B.S. in Mechanical Engineering from Yale University (2018). Research interests include the mechanics of rigid-soft material interactions, soft wearable robotics, bioinspired systems, and robotic manipulation. His lab emphasizes translating mechanical principles into functional prototypes for real-world applications. Key research trends in his articles include advancements in wearable robotics for industrial/medical use, aerodynamic control via textile metamaterials, and autonomous robotic exploration using low-cost hardware. His work bridges material science and robotics to create adaptive, high-performance systems. Labs/Teams: Director of the PRiSM Lab at WPI, focused on rigid-soft robotics innovation.
Jelena Dimitrijevic is a teaching associate at the Faculty of Electronics, University of Niš, Serbia, appointed in 2024 in the field of Automation. She is affiliated with the Department of Automation, contributing to academic programs in electronics and control engineering. Her research interests are centered on automation and control systems, with a focus on industrial applications, process control, and embedded systems in electronic engineering. While no publications or research projects are currently listed, her academic role emphasizes teaching and curriculum development within the Faculty of Electronics. She has not received any listed scientific awards or recognitions in the available information. Jelena Dimitrijevic advises no publicly listed students and is not associated with any named research labs or teams. There is no indication of grant funding or external research support at this time.
