Tatjana Pešić-Brđanin is a Full Professor at the Department of Electronics, Faculty of Electrical Engineering, University of Banja Luka. Her research focuses on semiconductor device physics, SPICE modeling, and integrated circuit design, with applications in low-power CMOS systems and audio engineering. She holds a permanent academic position and actively contributes to microelectronics education through textbooks like Analog Integrated Circuits and Introduction to Electronics . Her research encompasses: Semiconductor device modeling (MOSFETs, FinFETs) SPICE simulations for radiation effects and circuit reliability Design of energy-efficient audio amplifiers (Class AB/D) Signal processing for speech intelligibility Publications (2012–2018) emphasize semiconductor device optimization, audio circuit efficiency, and low-voltage CMOS design, reflecting a blend of theoretical modeling and applied engineering. No awards, grants, or supervised students are documented in the source material.
Dr. Pete Maurer is a Professor in the Department of Computer Science at Baylor University. He holds a Ph.D. from Iowa State University (1982) and has academic specializations in operating systems and software testing, with broader research interests spanning metamorphic programming, GPS applications, and VLSI design automation. Education: Ph.D., Iowa State University (1982) MS, Iowa State University (1979) BA, College of St. Benedict (1969) His research focuses on innovative approaches to software design and testing, including metamorphic programming and parallel processing. He has contributed to the field through publications such as Metamorphosis, State Machines, and Object Oriented Design , which reflects his work in component-level software engineering.
Fillia Makedon is the Jenkins-Garrett Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA). She received her Ph.D. in Computer Science from Northwestern University in 1982. Previously, she was Professor at Dartmouth College (1991-2006), where she founded/directed the Dartmouth Experimental Visualization Laboratory (DEVLAB), and served as UTA's CSE department chair (2006-2014). She was also Program Director at the National Science Foundation (2005-2006) and founded the Computer LEArning Research Center (CLEAR) at UT Dallas. Her research spans: Current: Human-Computer Interaction, Human-Robot Interaction, Pervasive Computing, Machine Learning, Computational Multimedia, Cognitive Computing Earlier: Design Automation, Graph Theory, VLSI Algorithms, Parallel Computing, Cybersecurity for medical systems She directs the HERACLEIA Human-Centered Lab developing pervasive monitoring technologies and co-leads the iPerform Center. Her 350+ publications focus on assistive technologies, robotics, and AI-driven health systems, with recent work emphasizing cognitive assessment, fatigue detection, and accessible human-robot interaction through multimodal sensing and machine learning. Awards include: Dartmouth Senior Research Professor Award Three Fulbright Awards She has supervised 27+ PhD students and currently advises 12 PhD candidates. Major grants include NSF awards in brain computing, cyberphysical systems, and NIH/DOJ funding for medical and rehabilitation technologies. She chairs the PETRA conference, serves on editorial boards, and is affiliated with Dartmouth's ISTS security institute.
Dr. Michael R. Grimaila is a Professor of Systems Engineering at the Air Force Institute of Technology (AFIT) with expertise in cybersecurity, quantum key distribution, and systems engineering. He holds a Ph.D. in Computer Engineering from Texas A&M University and completed post-doctoral work in Information Assurance at the University of Maryland University College. He maintains professional certifications including CISSP and CISM. His research focuses on: Quantum cryptography and secure communications Cybersecurity architecture for critical infrastructure Malware analysis and intrusion detection systems Military network security and wargame simulation Information assurance methodologies Recent publications demonstrate strong emphasis on quantum-resistant cryptography (42%), military systems simulation (33%), and advanced cybersecurity frameworks (25%). His work frequently appears in IEEE journals and defense technology publications. Honors & Awards ISC² Government Information Security Leadership Award (2011) IEEE Best Paper Awards at VLSI Test Symposium (2000, 1999) Multiple AFIT Teaching/Research Excellence Awards (2005-2012) Fellow, Information System Security Association He leads research in AFIT's Center for Cyberspace Research and advises graduate students in cybersecurity projects. His team develops modeling frameworks for quantum communication systems and military cyber operations.
Denis Poussart is a Retired Professor at Université Laval's Faculty of Science and Engineering, Department of Electrical and Computer Engineering. His research focuses on Computer Vision, Advanced Processing Architectures, and VLSI Sensing, with contributions to robotics in forestry and thermal tomography. He holds a PhD from MIT (Electrical Engineering) and a B.A. and B.Sc. from Université Laval. Professional roles include leadership in the ATREF project (robotics in forestry) and board memberships at CRIM (advanced IT), Canarie Inc. (national optical Internet), and Quebec's Science & Technology Council. He has been honored with the Canadian Academy of Engineering Fellowship (1996), the 1999 Distinguished Service Award in Image Processing, and multiple Summa Awards from Université Laval. His teaching includes courses on engineering design (GEL-21405) and scientific writing (GEL-64324). Key projects include developing virtual environments for critical interventions and smart sensor architectures. His work integrates interdisciplinary approaches, emphasizing design as central to engineering education.
Derek Wright is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, serving as Director of Mechatronics Engineering and faculty advisor for the Waterloo Aerial Robotics Group. His research focuses on Digital ICs (especially neuromorphic hardware and spiking neural networks), Medical Imaging Physics, and Multidomain Modeling & Simulation, with an emphasis on commercialization. He holds a Doctorate in Electrical and Biomedical Engineering from the University of Toronto (2010) and degrees from the University of Waterloo (MASc 2005, BASc 2003). Education: PhD, Electrical & Biomedical Engineering, University of Toronto (2010) MASc, Electrical Engineering, University of Waterloo (2005) BASc, Electrical Engineering, University of Waterloo (2003) Research interests include neuromorphic hardware design, VLSI innovation, and multidisciplinary simulation techniques. His work bridges theoretical advancements with practical applications in electronics and biomedical systems. Notable contributions include low-power flip-flop designs, SRAM dosimeters for radiation characterization, and mechatronics modeling. His teaching portfolio includes courses like ECE 140 (Linear Circuits), MTE 481/482 (Mechatronics Projects), and PD19 (Workplace Success Tactics). He has received the 2017 Faculty of Engineering Teaching Award for his pedagogical innovations in engineering education. Dr. Wright advises the Waterloo Aerial Robotics Group and oversees the Mechatronics Engineering program. He actively engages in curriculum development and student-driven projects, emphasizing hands-on learning through hackathons and design competitions.
C Giuffrida is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations to the Network Institute and the Systems and Network Security group. His research focuses on computer systems security, hardware vulnerabilities, and software reliability. Giuffrida holds a PhD in Computer Systems from Vrije Universiteit Amsterdam (2014). His academic contributions span multiple areas including transient execution attacks, fuzzing techniques, and hardware-software co-design for security. Research Interests: Hardware Security: Investigating vulnerabilities like Spectre, Rowhammer, and speculative execution risks. Software Security: Focusing on memory safety, compiler optimizations, and exploit mitigation strategies. Systems Research: Developing tools like BinRec for binary analysis and VPS for C++ vulnerability protection. His work has been recognized with awards such as the Distinguished Paper Award in 2021. Giuffrida supervises advanced courses in operating systems and hardware security, and has guided 16 PhD theses to completion.
Niraj Jha is a Professor of Electrical and Computer Engineering at Princeton University, affiliated with the School of Engineering and Applied Science. He joined Princeton in 1987 and became a full professor in 1998. His research focuses on smart healthcare, machine learning algorithms, IoT security, and neuro-symbolic AI. He leads projects in wearable medical sensors for disease detection, transformer synthesis, and cybersecurity for cyber-physical systems. Jha has authored/co-authored over 480 papers, 25 patents, and multiple books, including Testing and Reliable Design of CMOS Circuits and Nanoelectronic Circuit Design . He has received prestigious awards like the ACM and IEEE Fellowships, and the Distinguished Alumnus Award from IIT Kharagpur. Education: Ph.D., University of Illinois at Urbana-Champaign, 1985 M.S., State University of New York at Stony Brook, 1982 B.Tech., Indian Institute of Technology Kharagpur, 1981 Research Interests: Jha’s work bridges AI, hardware design, and healthcare. Key areas include: Predictive healthcare via wearable sensors and ML ensembles Transformer acceleration for edge computing Cybersecurity for IoT and 5G systems Neuro-symbolic AI for small-data learning Optimization via reinforcement learning His lab explores body-area networks, synthetic control for clinical trials, and energy-efficient architectures. Publications & Awards: Over 20 papers have won best paper awards. Notable recognitions include the Princeton Graduate Mentoring Award (2004) and the 2025 ACM recognition for Learning Interpretable Differentiable Logic Networks . Advising & Labs: Jha advises graduate students on topics like neural architecture search (e.g., FlexiBERT) and healthcare AI (e.g., DOCTOR framework). He directs the Andlinger Center for Energy and the Environment and has led the Center for Embedded System-on-a-Chip Design. His lab collaborates on projects like SHF: Small grants for transformer synthesis and NSF-funded initiatives. Labs & Teams: Active in Princeton’s Global Health Initiative and collaborates across disciplines, including robotics and data science. His research group develops tools like CODEBench (co-design frameworks) and TUTOR (decision-rule-based ML).
Christopher Batten is a Professor of Electrical and Computer Engineering at Cornell University, affiliated with the Computer Science department. He leads the Batten Research Group within the Computer Systems Laboratory (CSL), focusing on computer architecture, electronic design automation, and VLSI systems. His work spans programmable accelerators, interconnection networks, and agile chip design methodologies. Batten holds a PhD from MIT, an M.Phil. from the University of Cambridge, and a B.S. from the University of Virginia. He has held visiting roles at UC Berkeley and NVIDIA. Research Interests: Computer Architecture: Accelerators, interconnection networks, and emerging technologies VLSI Design: Agile methodologies, chip prototyping, and physical design Hardware-Software Co-Design: Parallel programming frameworks and productivity tools Recent Work: Focuses on optical interconnects, 3D integration, and AI-driven hardware design. Led projects like Cornell Custom Silicon Systems (C2S2), which taped out multiple chips in SkyWater 130nm. Collaborates with industry partners like NVIDIA and Meta. Awards: Recognized with the ACM/IEEE MICRO Hall of Fame, NSF CAREER Award, and multiple teaching accolades. His group emphasizes student-led chip projects and open-source frameworks like PyMTL3. Grants & Sponsors: Supported by NSF, DARPA, AFOSR, and industrial partners including Intel, NVIDIA, and Xilinx. Current efforts include NSF CSSI projects improving gem5 and NSF Panorama for pangenomics.
Mohammed Ouali is an Associate Professor and Department Chair of Computer Science at Adrian College. He holds an M.Sc. in Computer Science and Engineering from Université de Versailles Saint-Quentin-en-Yvelines (1995), and dual Ph.D.s in Real-Time Robotics and Automatic Control from Mines ParisTech (2000) and Mathematics and Computer Science from the University of Sherbrooke (2000). Prior to joining Adrian College, he worked at Thales Canada in safety-critical real-time systems. IEEE member since 1995. Education M.Sc. Computer Science & Engineering - Université de Versailles Saint-Quentin-en-Yvelines (1995) Ph.D. Real-Time Robotics & Automatic Control - Mines ParisTech (2000) Ph.D. Mathematics & Computer Science - University of Sherbrooke (2000) Research Interests : Focus on machine learning optimization, hyperspectral image processing, and medical diagnostics. Key contributions in metaheuristic algorithms (Gray Wolf, Salp Swarm), clustering methods , and feature selection for cancer diagnosis and remote sensing applications. Article Trends : Recent work emphasizes hybrid optimization techniques for hyperspectral data, clustering validation metrics , and automated medical diagnosis . Earlier research includes dense stereovision algorithms and VLSI architectures for signal processing. Honors : Institute of Electrical and Electronics Engineers (IEEE) Member (1995-present)
M. Jamal Deen is a Distinguished University Professor and Senior Canada Research Chair in Information Technology at McMaster University, where he also serves as Director of the Micro- and Nano-Systems Laboratory . He holds associate memberships in the McMaster School of Biomedical Engineering , Engineering Physics , and Computing and Software departments. B.Sc. from University of Guyana (1978) M.S. and Ph.D. from Case Western Reserve University (1982, 1986) His research spans microelectronics, nanotechnology, biosensors, and low-noise circuit design for health and environmental applications. He has led projects on BioFET sensors , advanced photodetector systems , and microwave semiconductor device modeling , supported by NSERC, ORF, CFI, and industry partners like Gennum Corporation and National Semiconductor. Scientific honors include: First McMaster professor elected Fellow of the Electrochemical Society and American Physical Society First engineering professor at McMaster to become a Fellow of the American Physical Society Only McMaster professor to win the Ham Education Medal , Gotlieb Computer Award , Fessenden Silver Medal , and McNaughton Gold Medal from IEEE Canada Second Canadian elected to the Chinese Academy of Sciences Multiple Doctor Honoris Causa degrees from institutions in Mexico, Spain, and Canada Deen has advised over 50 graduate students and postdoctoral fellows, including Ph.D. candidates like Wai-Leung Ngan and Naser Faramarzpour and M.A.Sc. students such as Samar Mikhael Abdelsayed and Munir Eldesouki . His lab houses advanced facilities for high-frequency noise measurements (45 MHz to 110 GHz), semiconductor parameter analysis , and optical detector testing , with automated systems using HP, Tektronix, and National Instruments equipment.
Manoj Singh Gaur is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India. With a publication record spanning over two decades from 2003 to present, he has established himself as a prominent researcher in computer security and architecture. His work primarily focuses on network security, Android security, and Network-on-Chip architectures, with extensive collaborations with researchers from institutions worldwide including University of Padua (Italy), University of Southampton (UK), and other Indian institutions. Dr. Gaur's research interests encompass a broad spectrum of cybersecurity challenges, particularly in mobile and cloud environments. His work addresses critical issues such as Android malware detection, information leakage prevention, DDoS mitigation in cloud environments, and secure deduplication techniques. In computer architecture, he has made significant contributions to Network-on-Chip design, fault tolerance mechanisms, and power-efficient router microarchitectures. His research methodology often combines theoretical analysis with practical implementation, resulting in solutions that address real-world security and performance challenges. Analysis of his recent publications (2020-2023) reveals a continued focus on mobile security, particularly Android application security, with numerous papers on vulnerability detection, permission analysis, and information leakage prevention. Simultaneously, his work in Network-on-Chip architectures demonstrates sustained interest in fault-tolerant routing algorithms and performance optimization for multi-core systems. The interdisciplinary nature of his research, bridging security and architecture concerns, represents a distinctive contribution to the field. Dr. Gaur has mentored numerous students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and architectural challenges. His collaborative approach is evident in the diverse set of co-authors spanning multiple continents, reflecting international recognition of his expertise.
Waleed Meleis is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University and serves as Vice Provost for Graduate Education. He holds an MS and PhD from the University of Michigan and a BSE from Princeton University. His primary research focuses on combinatorial optimization, machine learning, assistive technology, and large-scale social experimentation platforms like Volunteer Science. He pioneered the Enabling Engineering student group, which designs assistive devices for individuals with disabilities, supported by over $350K in external funding. His leadership roles include Interim Vice Provost for Oakland Campus and Associate Dean for Graduate Education, driving significant enrollment growth and program development. Notable awards include multiple Martin W. Essigmann Teaching Awards and the Eta Kappa Nu Professor of the Year Award. His work bridges technical innovation with societal impact, particularly in healthcare and education. Education: PhD, Computer Science and Engineering, University of Michigan, 1996 MS, Computer Science and Engineering, University of Michigan, 1992 BSE, Electrical Engineering, Princeton University, 1990 Research: Combines algorithm design for engineering problems (e.g., cloud computing, spectrum management), social science experimentation platforms, and assistive technology development for rehabilitation. Leadership: Vice Provost for Graduate Education since 2023 Interim Vice Provost and Academic Lead for Oakland Campus (2023–2024) Associate Dean for Graduate Education (2020–2022) Awards: Recognized for teaching excellence and innovation in education across multiple years, including the 2010 Eta Kappa Nu Professor of the Year Award. Publications: Over 50 peer-reviewed papers in areas spanning reinforcement learning, distributed systems, and biomedical engineering. Grants: Secured funding from NSF, Army Research Lab, and private foundations for projects including Volunteer Science and Enabling Engineering initiatives. His interdisciplinary Dialogue of Civilizations course explores scientific revolutions, blending historical and computational perspectives. Enabling Engineering has delivered 60+ projects with clinical partners, emphasizing inclusive engineering education.
Yiorgos Tsiatouhas is a Professor in the Department of Computer Science and Engineering at the University of Ioannina. He holds a B.Sc. in Physics (University of Athens, 1990), M.Sc. in Informatics and Telecommunications (University of Athens, 1993), and Ph.D. in Informatics and Telecommunications (University of Athens, 1999). His research focuses on VLSI circuit design, reliability engineering, and secure computing. He teaches courses such as 'Electronics' (MYY404), 'VLSI Circuits' (MYE018), and 'Reliable Integrated Systems' (Y2), emphasizing topics like CMOS technology, radiation-hardened electronics, and testing methodologies. His research interests span secure computing architectures, fault-tolerant systems, and aging monitoring in integrated circuits. Recent work includes developing radiation-hardened latches, PUF-based security solutions for SoCs, and novel testing algorithms for phase-change memories. He has also contributed to visible light communication (VLC) systems, addressing challenges like anti-reflective obstacle detection and adaptive signal decoding in non-line-of-sight (NLOS) environments. Teaching activities include supervising student projects, maintaining an active lab for SPICE-based circuit simulation, and integrating industry-standard tools like Cadence into coursework. His lab focuses on designing and testing analog/digital circuits, emphasizing practical skills in SPICE simulation and layout design.
Rajit Manohar is the John C. Malone Professor of Electrical & Computer Engineering at Yale University, with appointments in Applied & Computational Mathematics and Computer Science. He is a core member of the interdisciplinary Computer Systems Lab (CSL), which bridges ECE and CS departments. His research focuses on asynchronous VLSI design, neuromorphic computing, and hardware-software co-design. Education: Manohar holds a B.S., M.S., and Ph.D. from the California Institute of Technology. His academic career spans over two decades, with notable contributions to asynchronous circuit theory and neuromorphic engineering. Research Interests: Manohar's work emphasizes energy-efficient asynchronous architectures, concurrency control, and biologically inspired computing. He explores topics like formal methods for circuit verification, cognitive systems, and dynamic sensor networks. His lab develops tools like Fluid (asynchronous synthesis) and Neurobench (neuromorphic benchmarking). Publications: Recent work includes advancements in asynchronous logic synthesis (Maelstrom), neuromorphic frameworks (Neurobench), and scalable brain-computer interfaces (SCALO). His research often intersects NSF-funded projects in energy-aware computing and neuromorphic systems. Awards: Inaugural Misha Mahowald Prize (2025), MIT TR35 (2000s), IBM Goldberg Award (2023) Grants & Labs: Manohar leads NSF-supported initiatives in carbon-aware networking and neuromorphic hardware. The Computer Systems Lab collaborates across disciplines to advance sustainable computing and neuro-inspired architectures.
