Find Academic Supervisors

• Advanced Semiconductor Packaging
• Thermal Management
• Co-Design and Multiphysics Modelling
• +3 more

Christopher Bailey is a Professor of Advanced Semiconductor Packaging and Director of the Centre for Advanced Semiconductor Packaging at Arizona State University (ASU). He previously served as Professor of Computational Mechanics & Reliability and Associate Dean for Research at the University of Greenwich, UK. At ASU, he leads research on advanced semiconductor packaging, including roles as Principal Investigator (PI) and Co-Investigator (Co-I) on major projects such as the SRC-funded Thermo-Mechanical Modelling and US Chips Act initiatives (e.g., SWAP-Hub, SHIELD, ITSI). His research focuses on semiconductor packaging reliability, thermal management, co-design methodologies, and multiphysics modeling. Education: MBA (Technology Management), Open University, UK PhD, Thames Polytechnic, UK Research Interests: Advanced Semiconductor Packaging Thermal Management Solutions Co-Design and Multiphysics Modeling Reliability of Electronic Components His work integrates computational mechanics, materials science, and engineering to address challenges in high-reliability electronics. Recent projects emphasize predictive modeling for semiconductor packaging failures under thermal-mechanical stress. Awards: IEEE Region 8 Europe Award (2024) IEEE David Feldman Award (2022) Visiting Professorships at IIT Kharagpur (2018/2022) and Hong Kong (2018) Service & Leadership: Former President of IEEE Electronics Packaging Society (2020–2021) Associate Editor for IEEE Transactions on Components, Packaging, and Manufacturing Technology Conference Leadership (e.g., Program Chair for IEEE PAINE 2024) He has secured over $40M in research funding and authored 400+ archival papers, with expertise spanning industry collaborations (e.g., BAe Systems, Rolls Royce) and government advisory roles (EPSRC Peer Review College, UK Research Excellence Framework).

Sani NassifView profile

Research Fellow

• Machine Learning
• Energy Analysis
• Integrated Circuits
• +4 more

Sani Nassif is a Research Fellow at the Technical University of Munich (TUM) under the Rudolf Diesel Industry Fellowship, hosted by Professor Ulf Schlichtmann. With 28 years of experience at Bell Labs and IBM Research, he has led teams in integrated circuit modeling, simulation, statistical analysis, and optimization. Research Interests: His work bridges integrated circuit technology with cross-disciplinary applications in medicine. Key areas include variability analysis in semiconductor manufacturing, low-power circuit design, and reliability engineering for nano-scale systems. He focuses on applying machine learning and statistical methods to solve challenges in energy-efficient computing and biomedical systems. Selected Publications: His research spans circuit variability trends, leakage current modeling, and reliability frameworks for nano-era systems. Work includes foundational studies on SRAM failure analysis and CMOS scaling limitations. Scientific Awards: He is recognized as an IEEE Fellow IBM Master Inventor (75 patents) Rudolf Diesel Industry Fellow

Patrick W. C. HoView profile

Lecturer

• Memristor
• Non-volatile memories
• VLSI
• +7 more

Dr. Patrick W. C. Ho is a Lecturer in the Department of Electrical & Computer Systems Engineering (ECSE) at Monash University Malaysia School of Engineering. He holds a PhD in Electronics Engineering from the University of Nottingham Malaysia Campus (2016), with research focusing on non-volatile FPGA architectures using memristors. His academic journey includes roles as a Scholarly Teaching Fellow and unit coordinator for courses like ECE2131 Electrical Circuits and ECE4063 Large Scale Digital Design. He has industry experience with Intel Microelectronics and Altera Corporation, alongside teaching A-level Physics at Methodist College Kuala Lumpur. Education: BEng (First Class Honours) in Engineering (2009) MSc in Science (2012) PhD in Electronics Engineering (2016) Research Interests: Dr. Ho specializes in memristor-based non-volatile memory systems, VLSI design, and FPGA architectures. His work bridges hardware design with emerging materials, as seen in his Q1 journal article on memristive LUTs. Collaborations with CAD-IT expand his focus into AI, image processing, and object recognition. Recent projects include studies on memristor substrate performance (2023–2026) and UAV communication reliability (2021–2024). Teaching and Industry Engagement: As ECSE’s Industrial Training Advisor and IAP representative, he actively connects academic curricula with industry needs. His teaching spans foundational engineering courses and advanced digital design modules. Labs and Collaborations: Active in CAD-IT partnerships for student FYP co-sponsorship. Research groups focus on nanotechnology, machine learning integration in UAV systems, and memristor material analysis.

Luca SterponeView profile

Professor

• Reconfigurable computing
• Computer-aided design algorithms
• Fault tolerance and reliability
• +7 more

Luca Sterpone is a Full Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He serves as Head of the Control and Computer Engineering Department (2023-2027), coordinates the Aerospace and Safety Computing Lab, and is a member of the Academic Senate and Power Electronics Innovation Center (PEIC). His research spans reconfigurable computing, fault tolerance, and radiation effects analysis in electronic systems. Professor since 2021 Department Head (DAUIN) since 2023 Coordinates international collaborations with ESA, AMD Xilinx, NVIDIA, and Thales Alenia Space Develops radiation-hardened FPGA tools (SETA, VERI-Place, PyXEL) 2007 EDAA Outstanding Dissertation Award and 2005 IEEE Best Paper Award Research Focus : Designing radiation-tolerant systems for aerospace, including fault-tolerant AI accelerators, FPGA reliability, and software-based error mitigation. He investigates soft error propagation in nanoscale circuits and develops tools for radiation sensitivity analysis in VLSI. His work integrates hardware-software co-design for mission-critical applications. Awards : EDAA Outstanding Dissertation Award (2007) IEEE European Test Symposium Best Paper (2005) SMACD Best EDA Tool Award (2018) ARC Best Paper candidate (2018) Teaching : He leads courses in Reconfigurable Computing (PhD level), GPU Programming , and Operating Systems . He has formal responsibility for teaching roles across 9 bachelor's and 7 master's years, and mentors multiple PhD students. Collaborations : Coordinates with the European Space Agency (ESA), University of Bielefeld, Universidad de Sevilla, and industrial partners like AMD Xilinx, NVIDIA, and General Motors. He leads projects such as RESCHIP4EU, VEGAS, and TERRAC for radiation-hardened computing solutions.

Sueda SAYLANView profile

Assistant Professor

• Memristive Devices
• Photovoltaics
• Light-Matter Interactions
• +3 more

Dr. Sueda Saylan is an Assistant Professor at the Faculty of Engineering, Özyeğin University, since 2024. Her academic journey includes a Ph.D. in Interdisciplinary Engineering (2016) from Masdar Institute (now Khalifa University), postdoctoral research at Khalifa University (2016-2022), and an MSCA Postdoctoral Fellowship at Bilkent University (2022-2024). She has also held visiting researcher positions at MIT (2014) and the University of Tokyo (2016). Education Doctorate: Interdisciplinary Engineering, Masdar Institute of Science and Technology (2016) Master's: Microelectronic Manufacturing Engineering, Rochester Institute of Technology (2004) Bachelor's: Mechanical Engineering, Middle East Technical University (2002) Dr. Saylan's research focuses on memristive devices , photovoltaics , and light-matter interactions at micro/nanoscale . Her work bridges materials science and electronic engineering, with recent publications on memristor-based sensors, spectral filtering in silicon, and machine learning integration for biomedical diagnostics. Key trends from her 15 most recent articles (2013-2025) include: Advancing memristor technology for radiation sensing and vacuum monitoring Optimizing photovoltaic efficiency through light management and antireflection coatings Developing compact, low-power diagnostic devices for pathogen detection Exploring nanoscale electrode materials and switching mechanisms Applying Fourier transforms and interferometry in optical systems Scientific Awards Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship (2022-2024) Dr. Saylan has received research support from prestigious programs and has contributed to interdisciplinary projects involving semiconductor physics, optical engineering, and biomedical diagnostics. Her collaborations span institutions like Khalifa University, MIT, and the University of Tokyo.

Waël JaafarView profile

Professor

• Wireless Communications
• 5G/6G Networks
• Space Telecommunications
• +7 more

Waël Jaafar is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ETS), a constituent school of the Université du Québec system in Montreal, Canada. His research spans multiple critical domains in modern communications and computing infrastructure, with a particular focus on next-generation wireless networks and intelligent systems. Dr. Jaafar holds a B.Eng. from Sup'Com Tunisie, and both M.Sc.A. and Ph.D. degrees from Polytechnique Montréal. His academic background provides a strong foundation for his interdisciplinary research that bridges theoretical concepts with practical engineering solutions. His research interests center around wireless communications systems, with particular emphasis on 5G/6G networks, UAV communications, space telecommunications, and machine learning applications for networking. He has developed significant expertise in federated learning techniques for distributed networks, cybersecurity applications for next-generation mobile systems, and edge computing architectures. His work frequently explores the intersection of communication theory, artificial intelligence, and network security, with applications ranging from industrial IoT to public safety communications. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with wireless networking infrastructure, particularly focusing on UAV-assisted communications, federated learning approaches for distributed networks, and security enhancements for 5G/6G systems. His research demonstrates increasing emphasis on practical implementation challenges including energy efficiency, communication overhead reduction, and reliability in non-ideal network conditions. As an academic supervisor, Dr. Jaafar actively mentors numerous graduate students across various projects. He currently supervises doctoral candidates working on blockchain-enhanced security for 5G networks, green network slice orchestration, and federated learning approaches for Open RAN architecture. His master's students are engaged in diverse topics including LiDAR-based power line monitoring, multimodal behavioral authentication, and 5G/6G security using AI techniques. Dr. Jaafar is affiliated with two prominent research laboratories at ETS: LASI (Computer System Architecture Research Laboratory) and LACIME (Communications and Microelectronic Integration Laboratory). At LASI, he contributes to research in AI-based systems engineering, resource orchestration in edge/cloud environments, and intelligent network design. Through LACIME, he engages with broader communications research spanning from microelectronic components to complex communication systems, with particular focus on wireless networks and signal processing applications.

Marc ReichenbachView profile

Professor

• Integrated Circuits
• Embedded Systems
• VLSI Design
• +7 more

Prof. Dr.-Ing. Marc Reichenbach serves as the Chair of Integrated Systems at the Institute for Applied Microelectronics and Data Technology at the University of Rostock. His office is located at Albert-Einstein-Straße 26, 18059 Rostock, Room 102 (1st floor), with contact information including telephone (0381) 498 7270 and email marc.reichenbach@uni-rostock.de. Professor Reichenbach's research focuses on the intersection of hardware design and artificial intelligence, with particular expertise in memory technologies and computing architectures. His work spans several key areas: Development of specialized computer architectures for deep learning applications Advanced VLSI design and CPU architecture Emerging memory technologies, particularly RRAM (Resistive Random-Access Memory) FPGA-based acceleration systems Hardware implementations for neural networks and AI applications Analysis of Professor Reichenbach's recent publications (2023-2025) reveals a strong focus on memory computing technologies, particularly RRAM-based systems. His work demonstrates expertise across multiple dimensions of computer architecture including ASIC design, FPGA acceleration, and novel memory systems. The publications show a clear trajectory toward implementing AI and machine learning capabilities directly in hardware, with applications ranging from edge computing to satellite systems. A significant portion of his recent work addresses the challenges of implementing neural networks using emerging memory technologies, focusing on efficiency, reliability, and performance optimization. Professor Reichenbach teaches several advanced courses including: Computer architectures for deep learning applications Project seminar Embedded Systems Advanced VLSI Design (Advanced CPU Design) His research group appears to be actively engaged in several cutting-edge projects related to hardware acceleration for AI applications, memory computing, and embedded systems design. The group collaborates on projects involving digital twins for hardware systems, real-time operating systems for heterogeneous architectures, and specialized computing systems for various applications from medical devices to drone technology.

Ricardo ZednikView profile

Professor

• Piezoelectricity
• Fracture Mechanics
• Microelectronic Mechanical Systems (MEMS)
• +4 more

Ricardo Zednik is a Professor at the Department of Mechanical Engineering, École de Technologie Supérieure (ÉTS) in Montreal. Holding degrees from Rice University (BA, BS) and Stanford University (MS, PhD), he specializes in piezoelectric materials, fracture mechanics, and microelectronic systems. His research focuses on sensors, innovative materials, and health technologies. Fields of Interest: Piezoelectricity, Fracture Mechanics, MEMS, Smart Materials, Crystallography With over 36 peer-reviewed publications and extensive supervision of graduate research (including 15+ co-directed theses and projects since 2016), Zednik contributes to applied research in materials science and biomedical engineering. He collaborates with LaCIME and PULÉTS laboratories on cutting-edge projects involving ultrasonic transducers, flexible sensors, and high-temperature material characterization. Current courses include Materials Technology (MEC200) and advanced research topics in Functional and Smart Materials (SYS877). His students explore applications like terahertz quality control, piezoelectric earcanal sensors, and Kirigami techniques for wearable electronics.

• Semiconductor Devices
• Dielectric Materials
• Microelectronics
• +4 more

Dr. Durgamadhab Misra is a Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology. His research advances semiconductor devices and materials for next-generation computing and electronics. Research Focus: Dr. Misra's laboratory specializes in: Dielectric materials for advanced transistors Resistive switching memory devices Gate stack engineering Metal-oxide-semiconductor systems In-memory computing architectures Nanoelectronic device fabrication Research Trends: His publications show consistent focus on metal-oxide-based electronic devices, with recent emphasis on ReRAM technologies for in-memory computing, magneto-electric FETs, and low-power device design. Recent works demonstrate increased application focus on neuromorphic computing hardware. Research Funding: Co-PI: REU Site: Optics and photonics: Technologies, Systems, and Devices (NSF, 2024-2027) Co-PI: REU Site: Optics and photonics (NSF, 2019-2024) PI: KAUST-NSF Research Conference on Electronic Materials (NSF, 2015)

Ye WangView profile

Assistant Professor

• Fluid Dynamics
• Biomedical Engineering
• Microsystems Technology
• +3 more

Dr. Ye Wang is an Assistant Professor at the Department of Microsystems , Mechanical Engineering School , Eindhoven University of Technology . Active in UN Sustainable Development Goals related to biomedical technology, their work focuses on magnetic artificial cilia for microfluidic applications. Academic Rank: Assistant Professor University: Eindhoven University of Technology School: Mechanical Engineering Department: Microsystems Research Interests : Fluid dynamics in microsystems, magnetic actuation, biomechanical stimuli response, and biomedical device development. Key areas include programmable artificial cilia, shear-thinning fluid transport, and biofouling prevention through microscale engineering. Scientific Trends : Recent works emphasize cilia-based microfluidic mixing, non-Newtonian fluid dynamics, and organ-on-chip platforms. Collaborative projects with Prof. J.M.J. den Toonder and P.R. Onck dominate current publications. Advising : Supervised multiple student theses on topics ranging from microrheology to microheater reliability. Graduate students include F.W. Boots , M.H.J. Dekkers , and Y.-T. Lan . Projects : Currently involved in Accelerating Innovation in Microfabricated Medical Devices (2020-2023) with focus on continuous monitoring and advanced diagnostics. Scientific Impact : 1231 citations (Scopus) with collaborative networks spanning fluid dynamics, magnetic actuation, and biomedical applications. Featured in PNAS and Lab on a Chip publications.

Jonathan TerryView profile

Senior Lecturer

• Microfabrication
• Sensor Systems
• MEMS Technology
• +3 more

Dr. Jonathan G. Terry is Senior Lecturer and Head of Graduate School at the University of Edinburgh's School of Engineering, where he leads research in the Institute for Integrated Micro and Nano Systems. His work focuses on developing smart sensor systems using novel fabrication processes at the Scottish Microelectronics Centre facilities. His qualifications include: BEng in Electronic Engineering (UMIST) MSc in Microelectronic Materials and Device Technology (UMIST) PhD in Solid State Electronics (UMIST) Terry's research spans physical, biological, chemical, medical, astronomical, and harsh-environment sensing applications. He holds patents and has authored over 100 publications in microsystems development. Current projects examine implantable microsystems for anti-cancer therapy, enhanced boiling surfaces, and Leidenfrost-based energy harvesting. His teaching portfolio includes Microelectronics, Professional Engineering Issues, and Microfabrication Techniques courses. As Head of Graduate School, Terry oversees academic programs while maintaining research activities in sensor integration with foundry CMOS circuitry. His group develops novel fabrication techniques for applications ranging from medical diagnostics to renewable energy systems.

Shimeng YuView profile

Professor

• Semiconductor Devices
• Non-Volatile Memories
• 3D Integration
• +5 more

Shimeng Yu is a full professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering, holding the Dean’s Professorship. He earned his B.S. from Peking University (2009) and M.S./Ph.D. from Stanford University (2011/2013). His research focuses on semiconductor devices, non-volatile memories, 3D integration, and AI hardware accelerators. Yu leads SRC/DARPA JUMP 2.0 centers on memory/storage and 3D integration, with over 400 publications and 30,000+ citations (H-index 82). He serves on flagship conference committees (e.g., IEDM, VLSI) and editorial boards (IEEE EDL, JETCAS). Education: B.S., Microelectronics, Peking University (2009) M.S./Ph.D., Electrical Engineering, Stanford University (2011/2013) Research Themes: Emerging non-volatile memories for AI Monolithic 3D integration Energy-efficient computing systems His work spans device fabrication, circuit design, and system-level co-optimization. Recent projects are funded by NSF, DARPA, DOE, and industry partners (TSMC, Intel, Samsung), totaling >$17M. His lab, located at the Pettit Microelectronics Research Center, develops prototypes with cleanroom access. Awards: IEEE Fellow (2024) ACM/IEEE DAC Under-40 Innovators Award (2020) NSF CAREER Award (2016) Multiple editorship roles and distinguished lecturer appointments (IEEE EDS/CASS) Grants & Funding: Lead of two SRC/DARPA JUMP 2.0 centers Total research funding exceeds $17M

• Reliable and Fault-Tolerant Computing
• RISC-V Architecture
• FPGA-Based Systems
• +12 more

Sarah Azimi is a fixed-term researcher at the Department of Control and Computer Science (DAUIN) within the College of Computer, Film and Mechatronics Engineering at Politecnico di Torino. She actively contributes to research and teaching in the domains of reliable computing, reconfigurable systems, and AI applications for space and smart city security. Research Interests: Reliability and fault tolerance in safety-critical and space systems RISC-V and FPGA-based architectures High-performance computing (HPC) and reconfigurable computing AI resilience and real-time gesture recognition for public safety Radiation effects and hardening techniques for aerospace applications Publication Trends: Her recent publications focus on RISC-V reliability, radiation effects in space missions, AI resilience in reconfigurable platforms, and smart city security through gesture recognition. Her work spans both journal and conference venues, emphasizing practical and mission-tailored solutions in embedded and aerospace computing. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Sarah Azimi supervises multiple PhD students including Federico Buccellato, Aobo Cui, and Giorgio Cora. She leads the competitive research project Safe Smart City: Detecting Violence and Requests for Help in Real Time Through Video Surveillance Devices (2024). She is also a member of the RAMSES CubeSat-1 Development project (2025–2026) and led the commercial research project on the Rempro fault-tolerant processor (2022–2023). Labs and Teams: She is a key member of the CAD - Electronic CAD & Reliability Group (DAUIN) at Politecnico di Torino, contributing to cutting-edge research in electronic design automation and system reliability for aerospace and terrestrial applications.

• Microelectronics
• Nanotechnology
• Flexible Electronics
• +8 more

Muhammad Hussain is a Professor at the Elmore Family School of Electrical and Computer Engineering, Purdue University. His research focuses on futuristic electronics spanning healthcare, environment, energy, robotics, and defense applications, utilizing state-of-the-art CMOS technology for mass production of IoT and IoE devices. These systems range from rigid to flexible/stretchable electronics, emphasizing manufacturability and sustainability. Campus: West Lafayette Office: BRK 2042 Email: mmhece@purdue.edu Labs: DREAM (Device Research Engineering Applications and Manufacturing) Research Interests: His work in microelectronics and nanotechnology drives innovations like: Flexible hybrid electronics for extreme environments and defense applications Brain organoid electrophysiology tools Dissolvable chip packaging for sustainable e-waste reduction 3D heterogeneous integration of CMOS systems Wearable sensors for marine environments and robotics

Ronald D SchrimpfView profile

Professor

• Semiconductor Device Physics
• Radiation Effects
• Reliability in Semiconductor Devices
• +4 more

Ronald D Schrimpf is the Orrin H. Ingram Professor of Engineering and holds joint appointments in Electrical Engineering and Materials Science at Vanderbilt University’s School of Engineering. He founded the Institute for Space and Defense Electronics (ISDE) in 2002, leading its mission to apply radiation effects and reliability research to practical industry and governmental challenges. His group is the largest of its kind in the U.S. Schrimpf has served as Faculty Head of House for Memorial House in Vanderbilt’s residential college program. Education: Ph.D., M.S.E.E., and B.E.E. in Electrical Engineering from the University of Minnesota. Research Focus: Semiconductor device physics, radiation effects in microelectronics, reliability engineering, and simulation tools. He leads the Air Force Center of Excellence in Radiation Effects. Awards: Chancellor’s Cup (2010), Harvey Branscomb Award (2008-09), Teaching Excellence (2008), Research Chancellor’s Award (2003), IEEE NPSS Merit (2021), and 11 outstanding paper awards. Grants/Leadership: Principal Investigator for Air Force Radiation Effects Center, ISDE founder and director (2002–present). Labs/Teams: Vanderbilt’s Radiation Effects and Reliability Group and the Institute for Space and Defense Electronics (ISDE).