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Adrian M. IonescuView profile

Professor

• Nanoelectronic devices
• Nanotechnology
• Steep-slope tunnel FETs
• +7 more

Adrian M. Ionescu is a Full Professor at the Department of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL). He directs the Nanoelectronic Devices Laboratory (Nanolab) and contributes to the Doctoral Program in Microsystems and Microelectronics. His research bridges nanoelectronics, quantum computing, and biomedical sensing. B.S./M.S. in Electronics, Politehnica University Bucharest Ph.D. in Microelectronics, Politehnica University Bucharest Ph.D. in Physics of Semiconductor Devices, INPG Grenoble Research spans energy-efficient nanoelectronics , steep-slope switches , quantum computing qubits , edge AI sensors , and lab-on-skin wearable systems . Key projects include ERC Advanced Grant Milli-Tech for millivolt technology, DIGIPREDICT for digital twins in healthcare, and Sinergia NeMO for memristors. Recent publications focus on 2025 VO 2 phase-change devices, 2024 graphene biosensors, and 2023 III-V tunnel FETs. Awards include the 2024 IEEE Cledo Brunetti Award , 2017 IEEE George Smith Award , and IBM Faculty Award (2013) . As EPFL doctoral program director, he has guided 10+ PhD students in biosensing, ferroelectric FETs, and neuromorphic systems.

Vanessa SmetView profile

Assistant Professor

• Micro and Nano Engineering
• Electronics Packaging
• Thermal Management
• +3 more

Vanessa Smet is an Assistant Professor at the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology . Her research focuses on Micro and Nano Engineering , Electronics Packaging , and Thermal Management , with particular emphasis on advanced materials design for high-performance computing and power electronics applications. Her work spans topics such as nanoporous copper interconnections, low-CTE composites, and Bayesian-optimized package architectures. Key innovations include socketable BGA interconnections, Cu-pillar interconnect reliability, and integrated cooling solutions for SiC power modules. She has pioneered methods for mitigating thermal stress in glass substrates and improving solder diffusion barriers using polymer layers. Key Contributions: Development of Cu-Graphene composites for thermal management Advances in all-Copper interconnections for chip-to-substrate bonding Machine-learning-driven optimization of power card architectures Her research bridges materials science, mechanical engineering, and electronics packaging to address challenges in next-gen semiconductor systems.

Chuan FohView profile

Senior Lecturer

• Computer Networks
• Wireless Communication Protocols
• 5G/6G Networks
• +6 more

Dr Chuan Foh is a Senior Lecturer at the University of Surrey, affiliated with the Institute for Communication Systems within the School of Computer Science and Electronic Engineering. His research focuses on advanced communication protocols and performance analysis across diverse networks, including 5G/6G, vehicular networks, and satellite systems. He explores topics such as network security, federated learning, and reconfigurable intelligent surfaces to enhance communication efficiency and reliability. Dr Foh has contributed to over 50 peer-reviewed publications since 2015, with recent work addressing Open RAN vulnerabilities, NOMA-enhanced 5G protocols, and AI-driven network automation. His research interests span protocol design for wireless networks (e.g., IEEE 802.11bd, V2X systems), low-latency access mechanisms, and secure edge computing architectures. Collaborations involve industry standards bodies and academic institutions. He actively publishes in top-tier venues like IEEE Transactions and Vehicular Technology Conferences, with a focus on practical solutions for emerging telecom challenges. Key contributions include scalable resource allocation in MIMO-LEO satellite networks, ML-based fault detection in cellular systems, and energy-efficient UAV communication via RIS. His work bridges theoretical advancements with real-world deployment scenarios, emphasizing network security and automation in 5G/6G ecosystems.

• Computer Engineering
• Embedded Systems
• Radiation-Hardened Electronics
• +3 more

Andrea Portaluri is a Ph.D. candidate in Computer Engineering (37th cycle, 2021-2024) at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN). He also serves as an external lecturer and teaching collaborator for the course 'Operating Systems' in the 2024/25 academic year. His research focuses on radiation-hardened FPGA design, real-time embedded systems reliability, and fault tolerance in software-hardware co-design. Research interests include radiation effects on electronics, FPGA-based acceleration, real-time operating systems (RTOS), and mitigation techniques for soft errors in embedded systems. He collaborates with researchers like Luca Sterpone, Sarah Azimi, and Corrado De Sio on projects addressing reliability in space and safety-critical applications. His recent publications analyze radiation-induced errors in FPGAs, GPU-enhanced CAD tools for radiation-hardened designs, and multi-core neural network accelerators. Work trends emphasize improving embedded system reliability through hardware-software co-design, domain isolation, and fault-tolerant architectures. Portaluri actively participates in international conferences, presenting at venues like ACM Computing Frontiers, IEEE IOLTS, and IEEE Parallel and Distributed Computing. He has contributed to over 15 peer-reviewed articles and conference proceedings since 2021, focusing on radiation-hardening techniques and embedded system resilience.

• Wireless Communications
• 5G/6G Networks
• Massive MIMO
• +6 more

Maged Elkashlan is a Professor in the Department of Electronic Engineering at Queen Mary University of London, UK. He specializes in wireless communications, with a focus on 5G/6G systems, massive MIMO, reconfigurable intelligent surfaces (RIS), and ultra-reliable low-latency communication (URLLC). His research spans physical layer security, energy-efficient networks, and non-orthogonal multiple access (NOMA). He has authored over 200 papers in top-tier journals and conferences and holds editorial roles in IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and others. He has supervised numerous PhD students, including current scholars working on RIS and cell-free MIMO. His teaching includes courses on digital signal processing, communication theory, and wireless communications at Queen Mary, the University of Sydney, and the University of New South Wales. He has organized major symposiums at IEEE ICC and VTC, and his work has been recognized through best paper awards and industry collaborations. Editorships: IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Molecular, Biological and Multi-Scale Communications Key Research Areas: Cell-Free Massive MIMO, RIS-aided systems, NOMA, URLLC, physical layer security Recent Activities: Symposium co-chair for IEEE VTC 2018 and ICC 2018, guest editor of IEEE Communications Magazine special issues on millimeter-wave and green media Grants & Funding: China Scholarship Council (CSC) for PhD students, various research grants supporting RIS and URLLC projects

Monika HenzingerView profile

Professor

• Combinatorial Optimization
• Dynamic Optimization
• Parallel and Distributed Optimization
• +5 more

Monika Henzinger is a Full Professor of Computer Science at the Institute of Science and Technology Austria (IST Austria) and Deputy Speaker of the Vienna Graduate School on Computational Optimization. She holds a PhD from Princeton University and has held positions at Cornell University, Digital Equipment Corporation, Google, EPFL, and the University of Vienna. Her research focuses on combinatorial algorithms, dynamic optimization, and efficient graph algorithms. She leads a group at IST Austria exploring algorithm design for dynamic environments, privacy-preserving algorithms, and practical implementations of theoretical results. Research Interests: Combinatorial algorithms (especially graphs), dynamic algorithms, approximation algorithms, algorithmic game theory, and privacy-preserving computation. Her work includes breakthroughs in decremental graph algorithms, submodular optimization, and computational advertising. Collaborations: Works with Vladimir Kolmogorov, Nysret Musliu, Günther Raidl (Combinatorial Optimization), Birgit Rudloff (Dynamic Optimization), and Dan Alistarh (Parallel/Distributed Optimization). Awards: Wittgenstein Award (2021), ERC Advanced Grants (2021, 2014), ACM Fellow (2016), and numerous others listed in her CV. Grants & Labs: Principal investigator on an ERC Advanced Grant for graph algorithms. Her team includes PhD students (e.g., Bardiya Aryanfard, Antoine El-Hayek) and postdocs focused on algorithmic challenges in dynamic systems.

Fabien HELIOTView profile

Lecturer

• Wireless Communications
• Signal Processing
• MIMO Systems
• +5 more

Fabien HELIOT is a Lecturer in Wireless Communications at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Institute for Communication Systems. His research focuses on wireless communication theory, signal processing for MIMO systems, electromagnetic exposure reduction, and visible/terahertz communications. He leads modules like Applied Mathematics for Communication Systems and chairs the EEE Student/Staff Liaison Committee. His awards include an IEEE Senior Membership and Advance HE Fellowship. Research highlights include projects on MIMO-RIS capacity analysis, EMF exposure measurement in 5G, and waveform design for terahertz systems. He has supervised 8 PhD students and contributed to over 100 peer-reviewed publications. Notable collaborations include EU-funded projects (LEXNET, EARTH) and industry partnerships. His work bridges theoretical analysis and practical implementations, with contributions to standards and patents like the pDCO-OFDM waveform. Teaching responsibilities include courses on 5G, mobile communications, and electronic laboratories. He has examined 18 PhD vivas and supervised 40+ student projects. His research also addresses energy-efficient communication and machine learning applications in network automation, reflecting a commitment to both academic rigor and real-world impact.

Yi MaView profile

Professor

• Semantic Communication
• Machine Learning for RF Design
• MIMO Technology
• +6 more

Prof. Yi Ma is a Chair Professor at the Institute for Communication Systems (ICS) and the Home of the 6G Innovation Centre (6GIC) at the University of Surrey. He holds a Professorial rank in the School of Computer Science and Electronic Engineering. His research focuses on semantic/effective communication, machine learning for RF and physical layer design, MIMO technology, and opportunistic networking. Current PhD students include Yupeng Zheng, Ashkan Jafari, Zohre M. Bakhsh, and Mehdi Tafazolli. Research interests span scalable quantum-based wireless communications, distributed hybrid beamforming, and satellite communication systems. Recent publications highlight advancements in SA-MIMO, non-uniform quantization, and distributed MIMO-LEO networks. Prof. Ma teaches courses such as EEEM017 and EEE3006, and serves as an EEE examination officer. His work integrates theoretical contributions with practical applications, emphasizing future wireless systems and sensing technologies. Collaborations with industry and academia, including projects on 6G innovation, underscore his commitment to cutting-edge research.

Gabriele MencagliView profile

Associate Professor

• Parallel Programming
• Parallel Architectures
• Self-* Systems
• +3 more

Dr. Gabriele Mencagli is an Associate Professor in the Department of Computer Science at the University of Pisa, Italy. He holds a Ph.D. in Computer Science (2012) and has served as an Assistant Professor (2014–2018) and Tenure-Track Professor (2018–2021) before his current position. His research focuses on parallel systems, including architectures, programming models, and runtime systems for data stream processing. He leads work on the WindFlow stream processing library and has contributed to projects like TEXTAROSSA, ADMIRE, and EUPEX. He co-organized major conferences like HPDC 2024 and DEBS 2025 and serves on editorial boards for journals like Future Generation Computer Systems and Cluster Computing. Education: B.Sc. (2006, summa cum laude), M.Sc. (2008, summa cum laude), Ph.D. (2012) in Computer Science, all from the University of Pisa. Research Interests: Parallel programming, self-adaptive systems, data stream processing, GPU/FPGA acceleration, and high-performance computing. Over 80 publications in top journals and conferences, including IEEE TPDS, JPDC, and Euro-Par. Awards include Italian Habilitation as Full Professor (2025). Teaching: Courses on High-Performance Computing and Computer Architecture, including CUDA programming and parallel design patterns. Active in curriculum development for both bachelor’s and master’s programs. Grants & Projects: Principal investigator in EU-funded projects (e.g., TEXTAROSSA, NOUS) and collaborations with industry (e.g., List-group S.p.A., Autodesk). Focus on exascale computing, digital twins, and edge computing.

Narasimha ReddyView profile

Professor

• Computer Networks
• Storage Systems
• Multimedia Systems
• +3 more

Narasimha Reddy is a Professor and Department Head in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Truchard Foundation Chair Professorship. He earned his B.Tech. from the Indian Institute of Technology, Kharagpur (1985), and M.S./Ph.D. in Computer Engineering from the University of Illinois at Urbana-Champaign (1987/1990). His research focuses on Computer Networks Storage Systems Multimedia Systems Computer Architecture Cybersecurity with notable contributions to hybrid storage systems, cybersecurity frameworks, and network protocols. Reddy has held roles such as Associate Dean for Research (2016-21) and received accolades including IEEE Fellow (2003), NSF Career Award (1996-2000), and multiple teaching excellence awards. His work spans 5 patents and includes leadership in projects like IoTAegis (IoT security), CATS (Twitter spam detection), and SCMFS (storage class memory filesystem). His awards reflect industry and academic recognition: Fellow, IEEE Computer Society Outstanding Professor Awards (1997-98, 2003-04) IBM Technical Achievement Award (1995) Reddy’s research integrates hardware-software co-design, cybersecurity resilience, and scalable storage solutions. He leads initiatives in cyber-physical systems and digital manufacturing assurance, bridging theoretical advancements with practical applications in industry.

• High-Performance Computing
• Reconfigurable Computing
• Parallel and Distributed Systems
• +3 more

Alan George is a Professor and Department Chair at the University of Pittsburgh's Swanson School of Engineering. He holds the R&H Mickle Endowed Chair and directs the NSF-funded SHREC (Space, High-performance, and REsilient Computing) Center, a $1M/year Industry-University Cooperative Research Center with 40+ partners. His research focuses on high-performance architectures, reconfigurable systems, and dependable computing for space and supercomputing applications. Dr. George has over $30M in sponsored research and authored 200+ refereed publications with his students. Education: Ph.D. in Electrical and Computer Engineering from Florida State University (1987-1991). Prior to Pitt, he spent 20 years at the University of Florida, founding SHREC (then CHREC) and establishing the university's national-scale supercomputing center. Research Interests: Reconfigurable and parallel computing architectures Space-resilient computing systems High-performance distributed systems Dependable mission-critical networks Awards: IEEE Fellow (2017) NSF Schwarzkopf IUCRC Innovation Award (2020) University of Pittsburgh Service & Productivity Awards Grants & Advising: Principal investigator on $30M+ research projects. Advised numerous graduate students recognized at department/university levels. SHREC's work bridges academia-industry collaboration in resilient computing. Labs/Teams: Founder and Director of SHREC, which operates as a hub for cutting-edge research in space computing and high-performance systems.

Moon Seung KiView profile

Associate Professor

• Additive Manufacturing
• 3D Printing
• Digital Twins
• +7 more

Assoc. Prof. Moon Seung Ki is an Associate Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He serves as Assistant Chair (Research) and leads the Design Sciences Laboratory, focusing on additive manufacturing, digital twins, and sustainable design. His work bridges engineering fundamentals with advanced technologies like AI and IoT to innovate in smart manufacturing systems. Education: Ph.D. in Industrial Engineering, Pennsylvania State University (2008) M.S. and B.S. in Industrial Engineering, Hanyang University, South Korea (1995, 1992) Research Interests: His research spans additive manufacturing processes (e.g., 3D printing, laser deposition), design optimization for customization, smart factories, and sustainability. Key areas include modular product architectures, embedded sensor integration, and digital twin applications for real-time production monitoring. Grants & Projects: Leading over 30 funded projects, including Singapore’s National Additive Manufacturing Innovation Cluster and collaborations with industries like Hyundai, ST Aerospace, and Samsung. Recent grants focus on 3D printing for automotive components, AI-driven alloy design, and smart factory digital twins. Labs & Teams: He directs the Design Sciences Laboratory, a hub for interdisciplinary research in additive manufacturing, product lifecycle management, and Industry 4.0 technologies. The lab emphasizes practical applications such as customized medical devices and aerospace components.

• Communications Systems
• Defence Information Systems
• Cybersecurity
• +7 more

Dr Philip Nobles is a Lecturer at Cranfield University, affiliated with the Centre for Defence Engineering and Physical Science within the College of Engineering and Physical Sciences. He holds a PhD and MEng from Swansea University and has over 25 years of experience in academic and applied research in communications and cybersecurity. PhD, Swansea University MEng, Swansea University His research expertise lies in communications systems, defence information systems, and cybersecurity, with a focus on wireless networks, software-defined networking, military communications, and intrusion detection. He leads the development and delivery of an MSc module on Networked Systems and Cybersecurity for Connected and Autonomous Vehicles, and supervises research students. His work is supported by collaborations with DSTL/MOD, Airbus, EPSRC, BBC, and Philips Research Laboratories. Dr Nobles has published extensively on topics including intrusion detection sensor characterization, false positive responses, insider threat detection, and wireless communication systems. His publications reflect a strong trend in network security, sensor deployment optimization, and secure communications for defence and autonomous systems. Notable scientific contributions include work on: Characterising intrusion detection sensors False positive response mechanisms Scalable intrusion detection architectures Bayesian approaches to insider threat detection He actively supervises research students and contributes to high-impact projects funded by EPSRC and other strategic partners. His research integrates theoretical modeling with practical system deployment, particularly in military and critical infrastructure contexts. Dr Nobles is associated with the Department of Informatics and Sensors at Cranfield University, where he contributes to advanced research in network-centric warfare concepts and secure communication systems.

Adrian SampsonView profile

Associate Professor

• Computer Architecture
• Programming Languages
• Hardware-Software Co-Design
• +4 more

Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University, where he is part of the Computer Systems Laboratory and the Programming Languages Group. He leads the Capra research group, focusing on programming languages, computer architecture, and hardware-software co-design. Previously, he was an Assistant Professor at Cornell (2016–2022) and a researcher at Microsoft and Google. Education: Ph.D. in Computer Science and Engineering from the University of Washington (2015), advised by Luis Ceze and Dan Grossman. Dissertation: Hardware and Software for Approximate Computing . B.S. in Computer Science from Harvey Mudd College (2009). Research interests include approximate computing, compiler optimization, hardware accelerators, and formal methods in systems programming. His work on Geometry Types and Reticle has advanced abstractions for graphics programming and FPGA design. Sampson is known for contributions to compiler infrastructure for accelerators, such as the Timeline Types framework for predictable hardware design. Awards include the Cornell Bowers CIS Research Excellence Award (2024), IEEE TCCA Young Computer Architect Award (2021), NSF CAREER Award (2019), and the Google Ph.D. Fellowship in Computer Architecture (2013–2015). He has advised over 30 graduate and undergraduate students, contributing to projects like compiler-driven accelerator simulation and vectorization techniques. Teaching includes courses on compilers, programming languages, and computer architecture at Cornell. He has served on program committees for major conferences (ASPLOS, PLDI, ISCA) and chairs roles in ISCA and ASPLOS. Sampson’s research is supported by grants from NSF, Google, and industry partnerships.

James SturmView profile

Professor

• Microelectronics
• Macroelectronics
• VLSI Technology
• +5 more

James C. Sturm is the Stephen R. Forrest Professor of Electrical Engineering and Associated Faculty at the Princeton Materials Institute. He leads the Sturm Lab, focusing on materials, processing, and devices for microelectronics and macroelectronics. His work spans silicon-based heterojunctions, three-dimensional integration, and large-area electronics for flexible displays and biomedical applications. He holds a B.S.E. from Princeton University and a Ph.D. from Stanford University. His research bridges nanoscale device scaling and low-cost, large-area manufacturing technologies for organic semiconductors and TFTs. Key research areas include VLSI scaling, optoelectronics, and applications of zinc-oxide thin-film transistors (ZnO TFTs) for GHz circuits. He has pioneered methods for microfluidic cell processing and structural health monitoring using sensing sheets. His lab develops soft robotics and hybrid LAE-CMOS systems for tactile sensing skins. Education: Ph.D., Stanford University, 1985 M.S.E.E., Stanford University, 1981 B.S.E., Electrical Engineering (Engineering Physics), Princeton University, 1979 His publications highlight breakthroughs in GHz-frequency electronics, piezoelectric robotics, and large-area RFID systems. Awards include the IEEE Fellowship and Princeton’s President’s Distinguished Teaching Award. He advises students in microelectronics, macroelectronics, and biomedical engineering. Recent work integrates AI with large-area electronics for smart spaces and explores drug gradient effects on cancer cell evolution. The Sturm Lab collaborates on projects like the 'evolution accelerator' for real-time cancer cell observation and 3D semiconductor integration with industrial FDSOI platforms.