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Ali Manzak is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at Florida State University (FSU). He holds a M.Sc. in Control Systems from the University of Colorado Boulder and a Ph.D. in VLSI Systems from Arizona State University. Prior to academia, he worked as a digital IC design engineer at Lattice Semiconductor in California. His research focuses on low-power VLSI design, embedded systems, mixed-signal IC design, and hardware implementation of machine learning algorithms. He actively contributes to academia through teaching and lab supervision, designing ICs for both educational and research purposes. Education: Ph.D., Electrical Engineering (VLSI Systems), Arizona State University M.Sc., Electrical Engineering (Control Systems), University of Colorado Boulder Research Interests: Dr. Manzak’s work emphasizes energy-efficient VLSI circuits, emerging nanotechnologies like carbon nanotube FETs, and applying machine learning to hardware systems. His publications span IEEE journals and conferences, addressing topics such as power-aware cache design, low-power latch optimization, and AI-driven solutions for electromagnetic problems. Teaching & Labs: He instructs courses like EEL 3705/L, EEL 3927, and EEL 4742/L, and maintains hands-on IC design experience across multiple platforms. His labs integrate industry practices with academic research, fostering practical engineering skills.

• Low Power VLSI Design
• Embedded Systems
• Mixed-Signal IC Design
• +3 more

Sihong Yan is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). His research focuses on multiphase and thermal fluids in hazardous atmospheric conditions (e.g., icing clouds, freezing drizzle, hailstones) and advanced vertical lift vehicles, including rotor aerodynamics and fluid-structure interactions. He holds a Ph.D. and M.S. in Aerospace Engineering from Penn State University and a B.Sc. in Aeronautical and Astronautical Engineering from Shanghai Jiao Tong University. Prior to UCF, he served as a postdoctoral scholar at Penn State’s and Georgia Tech’s Vertical Lift Research Center of Excellence (VLRCOE) programs. His work includes developing icing experiment techniques for eVTOL certification and studying aero-propulsive coupling in electric ducted fans. Awards include the First Place in the 41st Annual Student Design Competition (as Faculty Advisor), the Leonard J. LeVasser Scholarship, and the Best Paper Award in the 74th AHS Annual Forum’s Test and Evaluation Session. Key research areas also encompass quantum computing for smart building controls, ventilation optimization in elevators, and thermal comfort models in automotive environments. His interdisciplinary approach bridges aerospace engineering, environmental science, and smart technology for aviation safety and sustainable systems.

• Multiphase Fluid Dynamics
• Thermal Fluid Science
• Aerospace Engineering
• +4 more

Visvesh S. Sathe is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. Previously, he served as Associate Professor at the University of Washington (2013-2022) and held roles at AMD (2007-2013), where he contributed to energy-efficient microprocessor design. His research focuses on energy-efficient computing, implantable electronics, and closed-loop neural interfaces. He leads the Processing Systems Lab (PSyLab), exploring computational techniques for hardware optimization in digital and mixed-signal systems. Education: B.Tech from IIT Bombay; M.S. and Ph.D. from the University of Michigan, Ann Arbor. Research Interests: Energy-efficient IC design, power management architectures, bi-directional neural interfaces, adaptive baseband processing, and SoC optimization. His work emphasizes run-time control of clocking, voltage regulation, and thermal management. Key Awards: NSF CAREER Award (2019), Intel Outstanding Researcher Award (2021), and IEEE Distinguished Lecturer (2021-2022). Notable contributions include the first resonant-clocked production processor and adaptive clocking for supply droop mitigation. Advisees/Grants: While specific grant details aren't provided, his lab’s work is funded by NSF and industry partnerships. His research spans from circuit-level innovations to system-level integration, with applications in biomedical and high-performance computing. Labs/Teams: PSyLab at Georgia Tech drives interdisciplinary projects in energy-efficient systems and neural interfaces, collaborating with industry and academic partners globally.

• Energy-Efficient Computing
• Implantable Electronics
• Power Management Systems
• +5 more

Jun-Chau Chien is an Assistant Professor of Electrical Engineering and Computer Science at the University of California, Berkeley, and holds the Weber Family Engineering Faculty Fellowship. He is affiliated with the Berkeley Sensor & Actuator Center (BSAC) and the Berkeley Wireless Research Center (BWRC). His research bridges integrated circuits with bio- and quantum technologies, focusing on biosensors, molecular engineering, and mm-wave ICs for biomedical and quantum applications. Education: B.S. and M.S., National Taiwan University Ph.D. in Electrical Engineering, UC Berkeley (2015) Postdoctoral Training, Stanford University (2016–2017) Prior Experience: Research Engineer, Stanford EE (2017–2021) Assistant Professor, National Taiwan University Industrial roles at Xilinx, InvenSense, LifeSignals, and INanobio Research Interests: Analog/mixed-signal IC design for biomedical applications Bioelectronics and implantable/ wearable sensors RF/mm-wave circuits for quantum interfaces and medical imaging CMOS-microfluidics integration for point-of-care diagnostics Advanced calibration techniques for high-frequency devices Awards: 2022 IEEE BioCAS Best Paper Award 2019 IEEE CICC Outstanding Paper Award NSF CAREER Award (2025) MTT-S Graduate Fellowship (2014) Lab & Outreach: Chien Lab focuses on bio-IC convergence and quantum interfaces Develops wearable/implantable biosensors and mm-wave imagers Hosts community outreach programs for junior high/high school students He teaches EE 194 and EE 290 on integrated circuit testing and is actively involved in ISSCC technical committees.

• Biosystems & Computational Biology
• Bioelectronics
• Microfluidics
• +7 more

Borivoje Nikolic is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. from UC Davis (1999) and academic degrees from the University of Belgrade (Dipl.Ing. 1992, M.Sc. 1994). His research focuses on integrated circuits, VLSI design, and energy-efficient electronics, with contributions to analog/digital circuit design, signal processing algorithms, and wireless communication systems. Notable roles include Technical Program Chair for the 2022 Symposium on VLSI Technology and Circuits, and General Chair for the 2024 IEEE Symposium on VLSI Technology and Circuits. He was an IEEE Distinguished Lecturer (2014–2015). His work has led to over 100 publications in top-tier venues like ISSCC, IEEE Journal of Solid-State Circuits, and IEEE Transactions on Circuits and Systems. Research interests span: VLSI Design Automation and Generators Low-Power and Energy-Efficient Circuits Wireless Communication Systems and MIMO Architectures Robotics and Heterogeneous SoC Design His publications highlight innovations in clock generators, data converters, and hardware-software co-design for AI/ML acceleration. Awards include the NSF CAREER Award (2003), IEEE Fellow (2017), and the 2024 SSCS Innovative Education Award.

• Integrated Circuits (VLSI)
• Computer Architecture
• Signal Processing
• +3 more

Bogdan M. Wilamowski is a Professor and Director of the Alabama Nano/Micro Science and Technology Center (ANMSTC) at Auburn University's College of Engineering, Department of Electrical and Computer Engineering. He holds the Alumna Professor title and leads cutting-edge research in microelectronics and intelligent systems. MS in Computer Engineering, 1966 PhD in Neural Computing, 1970 Dr. Habil. in Integrated Circuit Design, 1977 Full Professor title awarded by the President of Poland, 1987 His research spans semiconductor devices and sensors, analog and mixed-signal processing, and computational intelligence. He has pioneered work in neural networks, intelligent control, and microelectronic fabrication, with applications in industrial electronics and embedded systems. His academic leadership includes editorial roles in top IEEE journals and co-editing the CRC Book Series in Industrial Electronics. The recent publications highlight a sustained focus on analog signal processing, neural networks, microelectronic fabrication, and computational intelligence. These works reflect a strong integration of theoretical development with practical engineering applications, particularly in circuit design, sensor systems, and intelligent automation. The trend shows continued innovation in both analog electronics and AI-driven microsystems. IEEE Fellow Honorary Member of the Hungarian Academy of Sciences Commander Cross of the Order of Merit of the Republic of Poland (2008) Dr. Wilamowski has advised approximately 150 graduate students and has authored 9 books and over 300 refereed publications. He has held editorial leadership as Editor-in-Chief of IEEE Transactions on Industrial Electronics (2008–2010) and IEEE Transactions on Industrial Informatics (2011–2013). His research has been supported by extensive collaborations and institutional leadership, including directing research centers at Auburn and Idaho. He has also led major professional initiatives within IEEE, contributing significantly to the global engineering community. He leads the Alabama Nano/Micro Science and Technology Center (ANMSTC), a multidisciplinary research hub focused on advancing microelectronics, nanotechnology, and intelligent systems. The center fosters collaboration across academia and industry, supporting innovation in semiconductor devices, analog circuits, and computational intelligence applications.

• Semiconductor Devices and Sensors
• Mixed Signal and Analog Signal Processing
• Computational Intelligence
• +7 more

Shoba Krishnan is a Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering. Her work spans analog and mixed-signal integrated circuit design, carbon nanotube interconnect modeling, and engineering education initiatives. Education: B. Tech., Jawaharlal Nehru Technological University (1987) M.S., Michigan State University (1990) Ph.D., Michigan State University (1993) Her research focuses on high-speed data communication ICs, particularly clock/data I/O circuits, and explores carbon nanotubes as interconnect materials. She's expanding into bio-engineering instrumentation and renewable energy power electronics. Publications highlight work on low-power high-speed drivers, carbon nanotube via resistance analysis, microwave frequency modeling, and BIST structures for transceivers. She advises IEEE and Engineers Without Borders chapters at SCU.

• Analog and Mixed-Signal Integrated Circuit Design
• High-Speed Data Communication Systems
• Clock and Data I/O Circuits
• +4 more