Tina Hudson is a Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology , specializing in analog/digital systems, electronic device modeling, and engineering education. With a Ph.D. from Georgia Institute of Technology (2000), she focuses on curriculum innovation, critical thinking pedagogy, and industry collaboration. Education : Ph.D. (2000), MSEE (1995), BEE (1992) from Georgia Tech; BS in Engineering from Berry College (1992). Research Interests span test and product engineering for analog/mixed-signal circuits, behavioral analysis in analog circuit education, and integrated circuits emulating neural systems. Her work emphasizes industrial partnerships and pedagogical research. Publication Trends include engineering education methodologies (2014-2008), industry-driven curriculum design (2009), and analog/digital hybrid systems (2009-2006). Key subfields: pedagogical innovation, industrial testing, neural emulation, and hysteresis control. Scientific Awards : Dean’s Outstanding Teacher Award (2014). Teaching & Industry Engagement : Develops curricula for test engineering, conducts workshops for pedagogical research, and collaborates with Teradyne, Micron, and Texas Instruments to enhance student internships and lab resources.
Matthias Schmelz is a researcher at the Leibniz Institute of Photonic Technology, working in the Quantum Circuits group under the Research Department Quantum Systems. His work focuses on the development of superconducting quantum circuits and cryogenic electronics, with a particular emphasis on Josephson junction fabrication, SQUID-based readout systems, and wafer-scale integration for scalable quantum technologies. Key research contributions include the design of adiabatic quantum flux parametrons (AQFP), development of high-inductance cryogenic current comparators (CCC), and optimization of microwave SQUID multiplexer (µMUX) architectures for terahertz security cameras. His projects involve collaborations with institutions like CERN and GSI Darmstadt, addressing challenges in millikelvin thermalization, noise reduction, and quantum device characterization. Recent publications highlight advancements in cross-type Josephson junction fabrication, controllable mode coupling in coplanar waveguides, and hybrid NbN-Al quantum technologies. These works span journals including Physical Review B and IEEE Transactions on Applied Superconductivity , with applications in quantum computing, particle beam diagnostics, and high-sensitivity optical sensor readouts.
Mario Roberto Casu is an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as a contact person for the Degree Course in Electronic Engineering. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory and actively contributes to the VLSILAB research group. Dr. Casu received his laurea degree summa cum laude in electronics engineering and his Ph.D. in electronics and communications engineering from the Polytechnic University of Turin in 1998 and 2001, respectively. He has held visiting researcher positions at Columbia University (2010-2011), National University of Singapore (2017), and CEA Grenoble (2001), as well as a visiting professorship at Chongqing Technology and Business University (2016). His research spans several interconnected domains focused on hardware implementation of advanced computing systems. Dr. Casu's work primarily addresses Embedded Machine Learning through heterogeneous embedded systems (ASICs, FPGAs, CPUs, GPUs), System-on-Chip design including latency-insensitive approaches and Network-on-Chip architectures, Microwave Imaging for both biomedical (breast cancer and stroke detection) and industrial applications (food contamination detection), and Ultra-Wide Band technologies for biomedical applications. His research bridges theoretical design methodologies with practical industrial applications across biomedical, automotive, and food sectors. Dr. Casu's recent scholarly output demonstrates a clear trajectory toward optimizing hardware implementations for machine learning workloads, particularly through FPGA-based solutions and precision-scalable multipliers. His work increasingly integrates microwave sensing technologies with machine learning for specialized applications like food contaminant detection, while maintaining strong foundations in traditional VLSI design and system-level optimization techniques. As an academic leader, Dr. Casu serves on the editorial board of IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS and regularly participates in program committees for major international conferences including DATE, ICCAD, DAC, and VLSI-SoC. He has been involved in 9 national academic research projects (2 as principal investigator), 2 European academic research projects, and 7 national and international industrial projects (2 as principal investigator). Dr. Casu actively mentors the next generation of engineers, currently supervising multiple PhD students including Lorenzo Lagostina, Edward Manca, Teodoro Urso, Fabrizio Ottati, and Luca Urbinati. His teaching portfolio includes courses such as Integrated Systems Technology, Microelectronics Digital Design, and Embedded Electronic Systems for AI/ML across both bachelor's and master's programs in Electronic and Computer Engineering. His laboratory work centers around the VLSILAB Group at DET, where his team develops innovative solutions in hardware acceleration for machine learning, microwave imaging systems, and system-level design methodologies. Current projects include the EU-funded GreenChips-EDU initiative for sustainable microelectronics education and industry collaborations with companies like Infineon Technologies on coarse-grained reconfigurable array architectures for machine learning applications.
Mladen Knežić is an Associate Professor at the Faculty of Electrical Engineering, University of Banja Luka. He actively contributes to research in Power Electronics , Industrial Networking , and Embedded Systems with a focus on renewable energy and real-time communication protocols. Current Role: Associate Professor (since 2023) Key Collaborations: Partnerships with IEEE, international conferences, and institutions in Serbia and Germany His research emphasizes boost converter optimization , EtherCAT/Ethernet Powerlink protocols , and TSN (Time-Sensitive Networking) . Recent projects include "Sistem automatske regulacije i kontrole navodnjavanja" (2023-2024) and "Implementacija FTT paradigme u TSN standarda" (2019-2020). Key publication trends include energy efficiency in power electronics, deterministic networking solutions, and FPGA-based system designs. He has contributed to over 15 peer-reviewed articles and conference papers between 2006-2022. He collaborates with researchers such as Željko Ivanović and Branko Dokić , and has participated in projects funded by the Ministry of Science and Technology of Republika Srpska and the Ministry of Agriculture, Forestry, and Water Management (total funding exceeding 50,000 BAM). As co-author of the textbook Mikrokontroleri: arhitektura i projektovanje (2022), he contributes to academic education in microcontroller systems. His ORCID is 0000-0003-3240-9110 .
Steven Wilton is a Professor in the Department of Electrical & Computer Engineering at the University of British Columbia , where he also serves as Department Head (2019–2023, reappointed in 2024). He holds a BASc from the University of Victoria , and MASc and PhD from the University of Toronto . Education BASc (Victoria) MASc (Toronto) PhD (Toronto) His research focuses on Field-Programmable Gate Arrays (FPGAs) and Computer-Aided Design (CAD) algorithms . He explores FPGA architectures, post-silicon debugging, and programmable logic for System-on-a-Chip (SoC) design , aiming to enhance FPGA efficiency and accessibility for small/medium electronics companies. As part of the UBC SoC Research Group and ICICS , he contributes to advanced computing systems. He is also a Professional Engineer (BC) and IEEE Fellow , recognized for his work in electrical and computer engineering. Scientific Awards IEEE Fellow Dr. Wilton supervises graduate students like Andrew David Gunter (PhD in Electrical and Computer Engineering) and teaches courses including ELEC 402 , CPEN 311 , and CPEN 513 . His affiliations include the Institute for Computing, Information and Cognitive Systems (ICICS) and the Quantum Computing Research Cluster .
Ian Grout serves as Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, and is affiliated with the Optical Fibre Sensors Research Centre. His academic career spans over 25 years with continuous research output since 1994, focusing on hardware design and engineering education methodologies. His educational background includes: Ph.D. in Electronic Engineering from Lancaster University (awarded 1994) B.Eng. in Electronic Engineering from Lancaster University (awarded 1991) Dr. Grout's research integrates Mixed-Signal Integrated Circuit Design, Test Technology Education, and Sensor System Design using FPGAs with innovative educational approaches. His work bridges theoretical hardware development and practical implementation, particularly in remote laboratory experimentation and mechatronics systems. The fingerprint analysis of his 152 publications reveals dominant expertise in Field Programmable Gate Arrays (100%), Computer Hardware (61%), and Application Specific Integrated Circuit design (61%), with significant contributions to Teaching and Learning methodologies (56%). Recent publications (2023-2024) demonstrate a clear trajectory toward optimizing hardware testability for emerging architectures like processing-in-memory cores while advancing educational tools for embedded systems programming. His work shows increasing integration of machine learning concepts with traditional circuit design and a sustained focus on practical educational implementations through European collaborations like the Erasmus+ DIG-SENSING program. Professional engagements include active membership in the Institution of Engineering and Technology (IET), International Microelectronics and Packaging Society (IMAPS), and service on the UK EPSRC Peer Review College. He previously chaired the Educational ECAD User Group (EEUG) from 2001-2002 and maintained committee membership until 2005. At the University of Limerick, Dr. Grout contributes to the Optical Fibre Sensors Research Centre where his FPGA-based sensor system designs support advancements in optical sensing technologies. His current work involves developing remote laboratory frameworks for electrical engineering education while maintaining active research in integrated circuit test methodologies.
Dr. Theo Markettos is a Senior Research Associate at the Department of Computer Science and Technology, University of Cambridge. His research focuses on computer architecture, security, and systems & networking, with notable contributions to the CHERI capability system and FPGA-based hardware prototyping. He teaches the ECAD and Architecture Practical Classes (Part IB) for undergraduate students. His work spans secure hardware-software interfaces, memory protection mechanisms, and parallel computing architectures. He has contributed to projects like Bluehive (a FPGA-based neural network simulator) and CHERI, which enhances system security through compartmentalization and capability-based protections. Recent publications address heterogeneous accelerators, dynamic scalarization for GPGPUs, and termination detection in message-passing architectures. Markettos has collaborated extensively with researchers from academia and industry on topics such as FPGA cluster interconnect design, DMA vulnerability analysis (Thunderclap), and FPGA-based SoC prototyping. His teaching emphasizes hands-on exploration of full-stack computer design using FPGAs. He is based at the William Gates Building in Cambridge and leads efforts in secure computing systems through hardware innovation and interdisciplinary collaboration.
Professor Philip Leong is a faculty member at the University of Sydney's School of Electrical & Information Engineering, serving as Director of the Computer Engineering Laboratory. He holds a B.Sc., B.E., and Ph.D. from the University of Sydney. His academic career spans roles at institutions like the Chinese University of Hong Kong and industry collaborations with companies like ST Microelectronics and CruxML Pty Ltd. Research Interests: Leong specializes in FPGA-based solutions for high-performance computing, financial systems, medical monitoring (e.g., Parkinson's disease), and environmental forecasting. He pioneers applications in edge-based machine learning, low-latency systems, and hardware-software co-design. Key Projects : Radio Frequency Machine Learning Edge-based Training of Deep Neural Networks using FPGAs Awards : 2005 FPT Best Paper Award 2007 & 2008 FPL Outstanding Paper Awards Teaching: He instructs courses in embedded systems, computer architecture, and digital logic (e.g., ELEC3607, ELEC5741). His lab focuses on custom hardware and parallel software to address real-world challenges like financial risk modeling and climate prediction. Labs/Teams: Leads the Computer Engineering Lab, affiliated with The Net Zero Institute, Sydney Nano Institute, and the Charles Perkins Centre.
David López Vilariño is a Lecturer at the University of Santiago de Compostela, affiliated with the Department of Electronics. His research focuses on LiDAR data processing, FPGA acceleration for high-performance computing (HPC), and embedded systems. He teaches courses such as Fundaments of Electronic Instrumentation , Heterogenous Programming , and The Physics of Computing , contributing to bachelor’s and master’s programs in Physics, Informatics Engineering, and High Performance Computing. His research interests span LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He has developed algorithms for LiDAR data analysis, FPGA-based motion estimation, and GPU-accelerated medical image processing. Notable contributions include tools like the Open Lidar Visualizer and Analyser for 3D point cloud visualization. Dr. Vilariño’s work bridges computer architecture, signal processing, and geomatics. His recent publications emphasize optimizing HPC workloads using FPGAs and Intel OneAPI, as well as automated LiDAR-based detection of power lines, road points, and pedestrian zones. He collaborates on interdisciplinary projects involving parallel computing, embedded vision systems, and real-time surveillance applications. Teaching responsibilities include coordinating courses for the Máster Universitario en Computación de Altas Prestaciones, a joint program with the University of A Coruña. No academic awards are listed, but his active role in teaching and research grants underscores his contributions to the field.
Enrique Ostúa Arangüena is an Associate Professor in the Department of Electronic Technology at the University of Seville. He is part of the Digital Research and Development group and has been involved in numerous research projects focused on microelectronics, embedded systems, and FPGA-based solutions. His work includes contributions to IoT security, real-time systems, and hardware-oriented file systems. He has led or participated in projects such as USECHIP (Microelectronics Chair), Advanced Initiation Systems for IoT, and Hardware Vorbis CODEC development. His research spans digital circuit design, low-power electronics, and FPGA implementation, with emphasis on applications like time synchronization (SNTP), cryptographic hardware (E-LUKS), and embedded system optimization. He has authored chapters in books such as Grid Computing and Program of Teaching Teams for the Training of Novice Teachers , and has presented at conferences like the IBERCHIP Workshop and IEEE Symposium on Industrial Embedded Systems. Key contributions include patents on trigonometric function calculators and hardware security modules. He has collaborated extensively with researchers like David Guerrero Martos and Julián Viejo Cortés, focusing on methodologies for teaching digital electronics and FPGA-based SOC design. His work emphasizes open-source technologies, hardware-software co-design, and practical applications in industrial control systems.
Ahmed Gomaa Radwan is a Professor at Cairo University's Department of Engineering Mathematics and Physics, Egypt. His research spans fractional-order systems , chaotic dynamics , FPGA implementations , and bio-impedance modeling , with numerous publications in IEEE Access, Microelectronics Journal, and Circuits Systems Signal Processing. Key collaborators include Lobna A. Said , Wafaa S. Sayed , and Ahmed Soltan . His work emphasizes chaos-based encryption , fractional calculus , and hardware accelerators for real-world applications. Publications highlight trends in fractional-order chaotic systems , memristor technology , and secure image processing , often involving CNTFET designs and nonlinear resonators .
Craig Ramsay is a Research Associate in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Computer Science. His work focuses on bridging functional programming languages with hardware implementation, particularly targeting performance improvements through direct hardware solutions. His research interests span several interconnected domains within computer science: Functional Programming Languages, particularly Haskell Hardware implementation of programming language features Field Programmable Gate Array (FPGA) design and optimization Graph reduction techniques for functional languages Garbage collection systems for concurrent hardware environments Performance optimization of functional language implementations Dr. Ramsay's recent publications demonstrate a consistent focus on implementing functional programming concepts directly in hardware. His work spans from low-level garbage collection mechanisms to high-performance graph reduction systems, all targeting improved execution efficiency for non-strict functional languages. A notable pattern in his research is the practical application of theoretical functional programming concepts to real-world hardware constraints. Craig Ramsay actively collaborates with researchers including Robert Stewart and Hans-Wolfgang Loidl, producing both academic publications and associated datasets that are publicly available. His work has garnered attention in academic circles with citations and downloads indicating impact in the functional programming and hardware design communities.
Robert James Stewart is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Computer Science. His research focuses on hardware processor architectures for functional programming languages and FPGA-based systems, including projects like the EPSRC HAFLANG initiative. He designs energy-efficient FPGA processors for Haskell and explores neural network compression, scalable parallelism, and high-level DSLs for FPGAs. He has authored over 40 publications, including work on Heron (graph reduction hardware), Cloaca (concurrent garbage collection), and educational tools integrating Canvas/GitLab. He actively participates in editorial activities for ACM and collaborates on security-aware coding initiatives. Stewart has supervised numerous datasets and is open to PhD students since 2013.
Dr. Christos Ttofi is an Associate Lecturer at the Department of Electrical and Electronic Engineering, UCLan Cyprus. He holds a PhD in Computer Engineering (University of Cyprus, 2014), an MSc in Computer Engineering (2011), and a BSc in Computer Engineering (2009). His research focuses on embedded systems, FPGA design, real-time algorithms, and computer vision. He has contributed to over 10 peer-reviewed publications and has received multiple awards, including the Best Paper Award at the IEEE International Conference on Microelectronic Systems Education (2009). Education: PhD in Computer Engineering, University of Cyprus (2009–2014) MSc in Computer Engineering, University of Cyprus (2009–2011) BSc in Computer Engineering, University of Cyprus (2005–2009) Research Interests: Computer Vision and Image Processing Hardware/Software Co-design Embedded Systems & Microcontrollers FPGA Design and Real-Time Algorithms Networks-on-Chip (NoC) and MPSoC Architectures Publications: His work spans embedded vision systems, FPGA-based computing, and real-time algorithm optimization, with notable contributions to IEEE Transactions and ACM conferences. Awards: Best Paper Award (IEEE Microelectronic Systems Education, 2009) Distinction as Best Senior Student in Computer Engineering (2008–2009) Full Scholarship for Doctoral Studies (2011–2014) Teaching & Grants: He leads the 'Digital Systems' module and contributed to research grants such as the EUROSTARS-funded 'RUNNER' project (2011–2013) and the Research Promotion Foundation's MPSoC initiative (2009–2011).
Prosenjit Majumder serves as a Research Fellow in the Department of Physics, specializing in advanced experimental techniques within atomic and laser physics. His work bridges precision measurement with hardware implementation for scientific instrumentation. His core research domains encompass: Atomic Physics Laser Physics Optics Precision Measurement Electronics Hardware Design Current investigations focus on laser stabilization methodologies and atomic thermometry, particularly through modulation spectroscopy applied to alkali metal transitions. This includes pioneering FPGA-integrated systems for real-time frequency control and quantum-state analysis, targeting applications in quantum sensing and metrology. His scholarly contributions demonstrate measurable impact with 3 Scopus citations and 8 PlumX reader engagements, though no formal awards or student mentorship records are documented in available sources.
