Andreas Schmidt is affiliated with the University of Kassel, Germany, and holds a PhD in Computer Science from the University of Koblenz and Landau (2022). His research spans interdisciplinary domains including artificial intelligence, business management, and neuroscience. He has published extensively in journals like NeuroImage, SIAM Journal on Scientific Computing, and Remote Sensing of Environment, demonstrating expertise in computational methods, neural networks, and applied data science. Key research themes include propagation network modeling, home-office productivity analysis, and autonomous driving safety frameworks. His work integrates technical innovation with practical applications, such as optimizing district heating systems and advancing neurovascular coupling studies in primates. While no formal awards are listed, his contributions reflect impactful interdisciplinary collaboration across computer science, environmental science, and medical imaging.
Nuno Horta is a researcher at Instituto de Telecomunicações specializing in electronic design automation. His work integrates machine learning with analog IC design, developing optimization methodologies for RF circuits and biomedical devices. Recent publications focus on neural network-based placement tools, millimeter-wave power amplifiers, and ultra-low-power wearable sensors. Collaborative projects include automated design flows for radiation-hardened space electronics and ANN-based yield optimization techniques. He co-leads research on AI-driven circuit synthesis and serves as reviewer for IEEE TCAS and Integration journals. Current NSF-funded projects explore physically integrated design concepts for additive manufacturing.
Panagiota Nikolaou is a Lecturer in Computer Engineering and Course Leader of the BEng (Hons) Computer Engineering program at the School of Sciences, UCLan Cyprus. She holds a PhD in Computer Science from the University of Cyprus (2020), along with MSc and BSc degrees in Computer Science from the same institution. Her research focuses on computer architecture, fault tolerance, edge/cloud deployments, memory reliability, power optimizations, and intelligent vehicles. She has held roles including Research Associate at the KIOS Research and Innovation Center of Excellence and Lecturer at Alexander College. Her teaching responsibilities include Digital Electronics, Probability Theory for Engineers, and Engineering Professionalism. She has extensive research experience in EU-funded projects such as SESAME (Horizon 2020) and UNISERVER, addressing topics like reliability in embedded systems and energy-efficient computing. Her publications span domains like UAV reliability, real-time forest fire detection, and cost analysis of edge vs. cloud deployments. Notable awards include the Best Poster Award at the 2020 SERESSA conference. She actively participates in academic activities, including serving as Program Chair for the VLSI-SoC conference (2026) and roles in IEEE committees. Her research grants include leadership in projects like CERCIRAS (2020–2024) and participation in Horizon 2020 initiatives. She emphasizes interdisciplinary collaboration, bridging hardware reliability, software optimization, and real-world applications in critical systems.
Yunsi Fei is a Professor in the Electrical and Computer Engineering Department at Northeastern University, serving concurrently as Associate Dean of Faculty Affairs. She leads the Northeastern site of the NSF IUCRC Center for Hardware and Embedded System Security and Trust (CHEST). Her research focuses on hardware-oriented security, computer architecture, embedded systems, and IoT security, with significant contributions to mitigating side-channel and fault attacks on neural networks and hardware systems. Fei holds a PhD in Electrical Engineering from Princeton University (2004), and bachelor’s and master’s degrees in Electronic Engineering from Tsinghua University. She joined Northeastern in 2011 after faculty roles at the University of Connecticut. Her research interests span secure computer architecture, energy-efficient embedded systems, and underwater sensor networks. Notable projects include RINGS (a NSF-funded IoT resilience initiative) and secure RISC-V processor design. She has received the NSF CAREER Award and multiple best paper awards at top conferences. Fei’s work integrates hardware-software co-design to address vulnerabilities in AI accelerators and cryptographic systems. She leads the Energy-Efficient and Secure Systems (ENESS) Lab and collaborates with industry and academia through CHEST. Recent grants include $1.5M for cybersecurity in additive manufacturing and $1M for spectrum-agile IoT systems. Her awards include a 2023 Distinguished Paper Award (AsiaCCS) and 2022 Best Paper (Great Lake VLSI). She mentors students like Ruyi Ding, who joined LSU as faculty in 2025. Fei also chairs sessions on hardware security and is an affiliated faculty member with Northeastern’s Institute of Information Assurance.
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.
Ramalingam Sridhar is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, part of the State University of New York. He holds a PhD in Computer Engineering from Washington State University. His research focuses on VLSI systems, embedded technologies, computer architecture, and wireless networks security. He leads the High Performance VLSI Systems and Architecture Laboratory, emphasizing energy-efficient designs and hardware security. Affiliations: School of Engineering and Applied Sciences, Adjunct role in Electrical Engineering. Educations: PhD (Computer Engineering, Washington State University, 1987). Research interests include low-power VLSI circuits, secure embedded systems, wireless security protocols, and energy-aware mobile systems. His work bridges cross-layer design challenges in networks and hardware reliability. He has contributed to over 100 publications, including key advancements in register file design, secure RFID systems, and intrusion detection. Recipient of the IEEE CAS Society Distinguished Lecturer (2003-2004) and Best Poster Award (2005). Advised numerous PhD and MS students in areas like network-on-chips and security. Collaborates with industry partners like IBM and NASA on projects involving FPGA architectures and space communication security.
Marios Pattichis is a Professor of Electrical and Computer Engineering at the University of New Mexico (UNM), serving as Director of Online Programs since 1999. He leads the Image and Video Processing and Communications Lab (ivPCL) and co-founded Cosmiac. His work focuses on biomedical image analysis, video analytics for clinical decision support, and educational technology initiatives like the AOLME project targeting underrepresented middle-school students. Pattichis holds 10 patents, over 80 journal papers, and $15.9M in research funding from NSF, NIH, and AFRL. Education: Ph.D. and M.S. in Computer/Electrical Engineering from UT Austin (1998, 1993), with dual B.A./B.Sc. in Mathematics and Computer Sciences (1991). Research Interests: Biomedical CAD systems, explainable AI in imaging, dynamically reconfigurable architectures, and bilingual STEM education. His lab develops tools for stroke risk assessment via carotid ultrasound, solar coronal hole segmentation, and classroom activity analysis to measure student participation. Awards: 2022 EAMBES Fellow for contributions to biomedical image analysis. Editorships include IEEE Transactions on Image Processing and IEEE Signal Processing Letters. Grants & Teams: Directed over $15.9M in grants, advised numerous students (though none listed explicitly), and collaborates with educators on AOLME's integrated math/CS curricula. Active in codec comparisons for healthcare video streaming (VVC vs. AV1) and FPGA-based image processing acceleration. Labs/Initiatives: ivPCL (medical imaging/video systems); DRASTIC (adaptive video processing); ESTRELLA (bilingual STEM outreach). Involved in IEEE journal special issues on video analytics and multilingual 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.
William Frensley is a Professor of Electrical Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science since 1990. Previously, he served as a Member of the Technical Staff at Texas Instruments (1977–1990) and held postdoctoral positions at the University of California, Santa Barbara (1976–1977). He earned a B.S. in Physics from the California Institute of Technology (1973) and a Ph.D. in Physics from the University of Colorado (1976). His research focuses on semiconductor device physics, quantum transport theory, and heterostructure development. Notable areas include electron transport in nanoscale devices, quantum effects in resonant tunneling, and advanced fabrication techniques for III-V semiconductors. He has contributed to pioneering work on GaAs devices, including heterojunction bipolar transistors and vertical FETs, as well as computational tools for device simulation and quantum-state analysis. His publications highlight advancements in modeling MIM capacitors, III-V FET channel designs, and biosensor performance. Frensley holds multiple patents, including innovations in optically powered resonant tunneling devices and three-terminal tunneling structures. His industry collaborations span defense agencies (DARPA, Army Research Office) and semiconductor technology development programs, emphasizing nanoelectronics and high-frequency applications. He has advised numerous R&D initiatives, including millimeter-wave device development, permeable base transistor fabrication, and quantum device theory. His contributions bridge academic and industrial research, with a focus on translating theoretical models into practical device innovations. Active in education, he has developed interactive simulation tools for teaching semiconductor device physics.
Dr. Saraju P. Mohanty is a Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where he leads the Smart Electronic Systems Laboratory (SESL). He holds honorary and adjunct positions at IIIT-Naya Raipur, MNIT Jaipur, and Oriental University, Indore, in India. Education: Ph.D. in Computer Science and Engineering, University of South Florida (USF), 2003 Masters in Systems Science and Automation (AI), Indian Institute of Science (IISc), 1999 B.E. in Electrical Engineering (Honors), College of Engineering and Technology, Bhubaneswar (OUAT), 1995 Dr. Mohanty's research is centered on Smart Electronic Systems, with a strong focus on IoT, VLSI, hardware security, and healthcare applications. His work integrates machine learning, embedded systems, and nanoelectronics to develop secure and efficient solutions for smart cities, agriculture, and medical devices. He has authored over 550 peer-reviewed publications and five books, including a PROSE Award-winning textbook. His recent publications reflect a growing emphasis on AI-driven solutions for synthetic media detection, smart farming, driver monitoring, and personalized health. These works demonstrate a trend toward intelligent, edge-based systems that leverage sensor data and lightweight AI for real-time decision-making. Scientific Awards and Honors: Fulbright Specialist Award (2021) IEEE Consumer Electronics Society Outstanding Service Award (2020) IEEE-CS-TCVLSI Distinguished Leadership Award (2018) PROSE Award for Best Textbook (2016) Top 2% Scientist globally (PLOS Biology, 2019–2022) Multiple Best Paper and Best Poster Awards UNT Toulouse Scholars Award (2016–2017) President’s Scout Award, India (1988) Dr. Mohanty has supervised 3 postdocs, 18 Ph.D. students, 29 M.S. theses, and over 40 undergraduate research projects. Eleven of his advisees have received outstanding student awards. He has received multiple UNT Provost’s Thank a Teacher and Honors Day recognitions. His research has been funded by NSF, SRC, US Air Force, NIDILRR, and Mission Innovation. He has held key editorial roles, including Editor-in-Chief of IEEE Consumer Electronics Magazine and founding EiC of IEEE VLSI Circuits and Systems Letter. He is actively involved in IEEE leadership and conference organization, serving on steering committees for IEEE-iSES, ISVLSI, and OCIT. Laboratories and Teams: He directs the Smart Electronic Systems Laboratory (SESL) at UNT, which focuses on cutting-edge research in IoT, edge computing, hardware security, and smart healthcare. The lab fosters interdisciplinary collaboration and has produced numerous award-winning student projects and publications.
Hongmei Dang, Ph.D., is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at the University of the District of Columbia (UDC). She holds a Doctor of Philosophy and specializes in VLSI and nanotechnology, with a focus on improving solar cell efficiency and nanotechnology education. Her roles include teaching courses like Electronics I and II, and she has served on committees such as the Undergraduate Study and Graduate Research Committee at UDC since 2016. Dr. Dang's research spans nanotechnology applications in solar energy, semiconductor device design, and materials science. She has secured significant grants, including NSF Major Research Instrumentation grants and a DOE MSRDC grant. Notably, she received the 2024 Excellence in Funding award from UDC. Her leadership roles include serving as a Grant Panel Reviewer for the Department of Energy (DOE) and membership in the American Semiconductor Academy. Her work emphasizes interdisciplinary approaches, combining computational modeling with experimental material science. Dr. Dang has authored over a dozen peer-reviewed publications since 2012, focusing on topics like CdS nanowire solar cells, perovskite solar cell stability, and nanotechnology education strategies. Her research often addresses real-world challenges in renewable energy and sustainable materials. Grants: DOE MSRDC (2022), NSF MRI (2020), Apple HBCU Initiative (2021) Leadership: DOE Grant Panel Reviewer (2022), Member of ECE Department (2019–2022)
Carlo H. Séquin is a Professor of Computer Science in the EECS Department at the University of California, Berkeley. He is affiliated with the Graphics (GR) and Human-Computer Interaction (HCI) research areas, and associated with the Berkeley Center for New Media (BCNM), Berkeley Institute of Design (BID), CITRIS, and the Visual Computing Lab (VCL). His research focuses on geometric modeling, artistic geometry, mathematical visualizations, and CAD tools. Education: Ph.D. in Experimental Physics (1969), University of Basel, Switzerland. Past Roles: Head of Computer Science Division (1980–1983), co-inventor of RISC architecture with David Patterson. His work spans computer graphics, VLSI design, and the intersection of art and mathematics. He has pioneered functional optimization for surface design and contributed to CCD technology at Bell Labs. Séquin's awards include the Berkeley Citation (2016), ACM Fellow (1997), and teaching excellence awards. He advises students in Ph.D. and M.S. programs, as seen in his Ph.D. alumni list . His research is supported through CITRIS and other institutional collaborations. Séquin's artistic projects, such as mathematical sculptures and architectural designs, bridge engineering and art, exemplified by his work on the Pillar of Engineering and Twisted Tori .
Vladimir Stojanović is an Adjunct Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on integrated electronic-photonic systems-on-chip, emerging technologies, and VLSI design. He has held positions at MIT (2005–2013) and Rambus, Inc. (2001–2004). Stojanović leads research initiatives in the Berkeley Deep Drive (BDD), Berkeley Emerging Technologies Research (BETR), and Center for Energy Efficient Electronics Science (E3S). Education: Ph.D. (2005, Stanford), M.S. (2000, Stanford), and Dipl. Ing. (1998, University of Belgrade). Awards include the IEEE Fellow (2024), NSF CAREER Award (2009), and multiple best-paper recognitions. He co-founded Ayar Labs, Numericcal, and MaxLinear (formerly NanoSemi). Key research areas include silicon photonics integration, nanoelectromechanical systems (NEMS), and energy-efficient computing architectures. His work spans optical interconnects, quantum photonics, and biomedical sensors, with emphasis on co-design of electronics and photonics in advanced CMOS processes.
Jens Lienig has been a Professor at Technische Universität Dresden since 2002, where he directs the Chair of Development and Design of Precision Engineering and Electronics. His research spans Electronic Design Automation (EDA), electromigration analysis, 3D IC design, constraint-driven methodologies, and precision device development. He holds memberships in IEEE, VDE/VDI GMM, and technical committees, and has led conferences like ISPD 2021 as General Chair. Research interests focus on: Reliability Engineering : Electromigration-aware IC design, thermal/stress modeling in interconnects. Advanced Design Automation : 3D physical design algorithms, analog layout generators, constraint propagation. Precision Devices : MEMS sensors, peristaltic pumps, SAW motors, pyroelectric detectors. Recent articles (2019–2025) emphasize electromigration robustness, aerosol sensor signal processing, and open-source EDA tools. Over 15 doctoral students have completed under his supervision, including dissertations on electromigration, MEMS, and infrared sensors.
Professor Sheng Chen at the University of Southampton holds a prestigious academic rank in the Electronics and Computer Science department. His research interests span wireless communication systems, machine learning for signal processing, underwater robotics, and digital twin technology. IEEE Fellow Royal Academy of Engineering Fellow Chartered Engineer Research Focus: Professor Chen specializes in advanced wireless communication systems including MIMO technologies, channel estimation techniques, and next-generation 6G protocols. His work extends to industrial cybersecurity applications and underwater stereo matching algorithms. Recent Contributions: His latest publications demonstrate expertise in memristor-based signal processing circuits, label distribution learning using renormalization group theory, and innovative interference mitigation strategies in dynamic TDD systems. Current research projects: Optimising control system integrity (Royal Academy of Engineering), NEWCOM (European Union)
