Find Academic Supervisors

• Integrated Circuits
• Micro/Nano Electro Mechanical Systems (MEMS)
• Computer Architecture & Engineering
• +4 more

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.

• Agricultural Engineering
• Precision Agriculture
• Biosensors
• +5 more

Stefano Bona is an Associate Professor at the University of Padua, Italy, affiliated with the Department of Agricultural, Food, Environmental and Animal Sciences (DAFNAE). His academic field is AGR/02 (Agronomy and Field Plant Production). He is based at Agripolis - Viale dell'università, 16 in Legnaro (Padova), Italy, and can be contacted at stefano.bona@unipd.it. Dr. Bona's research spans the intersection of agricultural engineering, electronics, and biosensor development. His primary research interests include: Radiation effects on semiconductor devices and electronic systems Development of biosensors for agricultural and medical applications Electrochemical sensing systems for food safety and health monitoring Microfluidics-integrated detection systems Precision agriculture technologies Semiconductor device physics in agricultural contexts His recent publications demonstrate a strong focus on radiation effects in nanoscale CMOS technologies, particularly examining Total Ionizing Dose (TID) effects in FinFET and other advanced transistor architectures. A significant portion of his work applies these concepts to develop biosensors for agricultural applications, including detection systems for pathogens in food production and monitoring systems for livestock health. His research shows a clear trend toward developing portable, field-deployable sensing technologies that bridge the gap between advanced electronics and practical agricultural needs, with increasing emphasis on microfluidics integration and wearable sensing platforms for continuous monitoring in agricultural environments. Dr. Bona appears to be actively involved in collaborative research projects, particularly those related to radiation effects in electronic components and their application in agricultural monitoring systems. His work spans both fundamental semiconductor physics and applied agricultural technology development, with connections to high-energy physics research through his contributions to detector technologies for particle physics experiments.

Torsten LehmannView profile

Associate Professor

• Solid-state circuits and systems
• CMOS circuits at cryogenic temperature
• Ultra low-power CMOS design
• +6 more

Associate Professor Torsten Lehmann is a faculty member in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He holds the position of Associate Professor in Microelectronics and maintains an active research program focused on advanced circuit design for biomedical applications and cryogenic systems. His work spans multiple disciplines at the intersection of electronics engineering, biomedical technology, and quantum computing interfaces. Dr. Lehmann's research interests encompass several cutting-edge areas of microelectronics: Solid-state circuits and systems CMOS circuits at cryogenic temperature Ultra low-power CMOS design Bio-medical microelectronics Cochlear implants and vision prostheses High-performance analogue circuits in deep sub-micron CMOS His recent publication record demonstrates a strong focus on neural interfaces and optrode technology, with significant contributions to the development of optical neural stimulation and recording systems. Over the past five years, his research has increasingly concentrated on optrode arrays, biopotential sensing, and charge-balanced stimulation techniques for neural applications. His work bridges the gap between traditional electronic circuit design and emerging biomedical applications, particularly in vision and hearing prostheses. A consistent theme throughout his publications is the development of specialized circuits for challenging environments, whether ultra-low temperatures for quantum computing or implantable medical devices requiring extreme power efficiency. Dr. Lehmann has made significant contributions to the field of microelectronics for biomedical applications, particularly in the development of circuits for vision prostheses and neural stimulation systems. His work on cryogenic circuits for quantum computing interfaces represents an important bridge between traditional electronics engineering and emerging quantum technologies. His research group appears to be actively involved in several collaborative projects related to neural engineering and biomedical implants, working with colleagues across UNSW and with clinical partners. The lab likely focuses on the design and testing of specialized integrated circuits for challenging applications where conventional electronics face significant limitations.

Mehdi JavanmardView profile

Professor

• Nanobiotechnology
• BioMEMS
• Point of care diagnostics
• +4 more

Mehdi Javanmard is a Professor and Paul S. & Mary W. Monroe Endowed Faculty Scholar at Rutgers University's Department of Electrical and Computer Engineering. He leads the NanoBioElectronics Laboratory, focusing on integrating micro/nanotechnologies with biomedical applications to develop low-cost, rapid diagnostic tools. His work emphasizes point-of-care diagnostics, biomarker detection, and microfluidics-based solutions. Education: PhD (Electrical Engineering) from Stanford University (2008), MS (EE) from Stanford (2004), BS (EE) from Georgia Tech (2002 with Highest Honor). Research Interests: Nanobiotechnology and BioMEMS Point-of-care diagnostics Microfluidics and electrokinetic phenomena Applications of nanotechnology in medicine Key Achievements: Recipient of DARPA Young Faculty Award (2020) and NSF CAREER Award (2019) Founded RizLab Health (2018), a startup commercializing lab-on-a-chip technologies Developed wearable biosensors and wireless diagnostic platforms Published over 50 peer-reviewed articles on microfluidics, impedance cytometry, and biosensor integration Lab Focus: The lab's innovations include nanowell-based impedance sensors, smartphone-integrated diagnostics, and wearable health monitoring systems. Current projects include DARPA-funded research on continuous biomarker monitoring and NSF-supported work on environmental sensor integration.

Adrijan BarićView profile

Researcher

• Integrated Circuits
• Electromagnetic Compatibility
• FPGA
• +3 more

Adrijan Barić is a Researcher at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing (University of Zagreb). His work focuses on integrated circuit design, electromagnetic compatibility (EMC), and sensor systems. Expertise in CMOS technology and FPGA-based systems Developed on-chip sensors for stress effects and electromagnetic emissions Contributed to wireless sensor nodes and power converter design His research involves behavioral modeling of integrated circuits, time-domain simulations, and EMC-aware design methodologies. Key projects include: Smart temperature sensors using ring oscillators Conducted emissions analysis in DC-DC converters High-frequency modeling of surface-mount components Contact: adrijan.baric@fer.unizg.hr

Eric LarsonView profile

Associate Professor

• Machine Learning
• Deep Learning
• Cyber Security
• +8 more

Dr. Eric Larson is an Associate Professor of Computer Science at the Bobby B. Lyle School of Engineering , Southern Methodist University (SMU), with a courtesy appointment in Operations Research & Engineering Management. He is the Bobby B. Lyle Endowed Professor in Engineering Innovation and a member of multiple institutes, including the Hunt Institute for Engineering Humanity, Darwin Deason Institute for Cybersecurity, and SMU AT&T Center for Virtualization. Ph.D. in Electrical and Computer Engineering, University of Washington (2013) M.S. in Electrical and Computer Engineering, Oklahoma State University (2008) B.S. in Electrical and Computer Engineering, Oklahoma State University (2006) His research spans machine learning , signal/image processing , and ubiquitous computing , with applications in healthcare, security, education, and sustainability. Key areas include privacy and security , human-machine teaming , mobile health , context-aware computing , and biometrics . He holds patents for sustainability sensing and smartphone-based health monitoring. His recent publications focus on interdisciplinary applications, including robotic surgery , automated molecular detection , sentinel satellite data analysis , and aviation workload prediction . These works integrate deep learning with sensor technology across healthcare, environmental monitoring, and cybersecurity. Scientific Awards : Altshuler Distinguished Teaching Award (2023) Platinum Best Paper, IITSEC (2020) Dr. Larson actively mentors students through research labs, emphasizing culture-building strategies like graduate-undergraduate collaboration and research-integrated coursework. He has secured over $9 million in grants from NSF, NIH, DOE, and USAFA. His lab, the SMU UbiComp Lab , explores biometric sensing and cognitive computing.

Bogdan M. WilamowskiView profile

Professor

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

• Microelectronics
• Analog Filters
• Signal Processing
• +10 more

Nuno Miguel de Figueiredo Garrido is an Assistant Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa (ISCTE-IUL). He is also an Associate Researcher at the Institute of Telecommunications – IUL, affiliated with the Radio Systems Group. His academic work bridges microelectronics, signal processing, and smart city technologies. PhD in Information Sciences and Technologies, ISCTE-IUL (2012–2015) Bachelor's in Electrical and Computer Engineering, Higher Technical Institute – UTL (1994) His research interests include microelectronics, analog filters, CMOS technology, smart cities, IoT systems, machine learning, and low-power circuit design. He has contributed significantly to adaptive analog filter design for hard disk drives and more recently to smart parking and interactive systems using BLE, Arduino, and Raspberry Pi. The analysis of his recent publications (2018–2024) reveals a strong interdisciplinary focus. Early work centered on high-frequency CMOS transconductors and signal equalization in storage systems. Recent research expands into machine learning for healthcare, NLP for IT automation, and educational tools for programming. His work frequently appears in international conferences such as IEEE ISCAS, INTELEC, and ACM ITiCSE, indicating active engagement in both engineering and computer science communities. Although no formal scientific awards are listed, his work has accumulated 94 Google Scholar citations, with publications in Q2 and Q3 ranked venues, reflecting scholarly impact. Garrido advises students and collaborates on research projects involving port classification automation, kidney disease prediction, and smart urban systems. He has contributed to the development of tools like Jask (question generation for Java code) and Sprinter (a didactic linter), showing commitment to computing education. He is involved in multiple research initiatives related to IoT, smart cities, and embedded systems, particularly those utilizing open hardware and software. His lab and team affiliations include the Radio Systems Group at the Institute of Telecommunications – IUL, where he conducts research on wireless and embedded systems for smart environments.

• VLSI Systems
• Analog Signal Processing
• Optoelectronic Systems
• +7 more

Valencia Joyner Koomson is an Associate Professor in the Department of Electrical and Computer Engineering at Tufts University’s School of Engineering. She also holds concurrent appointments in the Tisch College and the Department of Computer Science. Her primary affiliation is with the Advanced Integrated Circuits and Systems Lab, where her research focuses on silicon-based VLSI systems, optoelectronic integration, and biomedical imaging applications. Dr. Koomson received her Ph.D. from the University of Cambridge and previously worked at the University of Southern California’s Information Sciences Institute (USC/ISI), specializing in radiation-hardened VLSI systems for military and aerospace applications. Her academic journey includes a B.S. and M.Eng. from MIT, followed by a Marshall Scholarship and Intel Foundation support. She has held visiting professorships at MIT, Boston University, and Rensselaer Polytechnic Institute. Notable awards include the NSF CAREER Award and recognition as a National Science Foundation Graduate Research Fellow. Research interests span mixed-mode VLSI systems (analog/digital/optical), optoelectronic system-on-chip integration, and applications in medical imaging and optical wireless communication. Her lab develops wearable health monitoring devices, including the AHOMKA hypertension management platform for Ghana. Recent work includes miniaturized NIRS instruments, microfluidic devices for cell analysis, and millimeter-wave circulators in CMOS. Dr. Koomson has authored over 85 publications and secured grants from NIH, NSF, and industry partners. Current projects include mHealth platforms, noninvasive brain stimulation systems, and culturally adapted healthcare solutions. She actively mentors graduate students in interdisciplinary research combining electrical engineering with biology and public health. Grants: Over 39 funded projects, including NIH’s AHOMKA initiative and NSF’s HDR Tripods Center. Labs: Advanced Integrated Circuits and Systems Lab (AICS Lab) with collaborators in biomedical and materials sciences. Teaching: Courses on VLSI design, digital electronics, and wearable systems.

• Semiconductor Devices
• Nanoelectronics
• Quantum Transport
• +3 more

Jesus A del Alamo is the Donner Professor and Mac Vicar Faculty Fellow in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), a position he has held since joining the faculty. His primary affiliation is with the School of Engineering. As part of his roles, he leads the Xtreme Transistors Group, a research team focused on advancing semiconductor and nanoelectronics technologies. His research interests span semiconductor devices, nanoelectronics, quantum transport phenomena, and ferroelectric materials. He has pioneered work in ultra-scaled transistors, III-V semiconductor integration, and memristive systems. Key areas include vertical nanowire tunneling transistors, ferroelectric field-effect transistors (FeFETs), and neuromorphic hardware leveraging ionic synapses. Dr. del Alamo has been recognized for his contributions with prestigious titles such as the Donner Professorship and Mac Vicar Fellowship, as well as the 2019 MRS Fellow distinction. His work intersects device physics with practical applications in high-frequency electronics, low-power computing, and energy-efficient memory systems. His research outputs reflect a strong focus on semiconductor scaling, with recent studies addressing challenges in nanoscale device fabrication and reliability. He has collaborated extensively on initiatives to reassert U.S. leadership in microelectronics through academic-industry partnerships, as highlighted in papers like "Reasserting U.S. Leadership in Microelectronics" (2022). As an educator and mentor, he has advised numerous graduate students and postdoctoral researchers in semiconductor device engineering. His contributions to the field are further reflected in his editorial roles, including serving as Editor-in-Chief of IEEE Electron Device Letters (EDL).

Hyeongrak ChoiView profile

Assistant Professor

• Quantum Information Science
• Quantum Computing
• Quantum Photonics
• +3 more

Hyeongrak Choi is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. His research focuses on quantum information science, quantum computing, quantum photonics, and quantum networks. He is affiliated with the Light Engineering research group and specializes in developing scalable quantum systems through innovations in spin-photon interfaces, photonic integrated circuits, and entanglement protocols. His work emphasizes practical applications of quantum technologies, including congestion-free quantum networks, heterogeneous integration with CMOS platforms, and reinforcement learning-driven gate synthesis. Key contributions include designs for optical interconnects using 2D atomic emitters, cavity-based light-matter interactions, and entanglement distribution protocols leveraging percolation-based architectures. His research also intersects with nanofabrication techniques and superconducting materials for enhanced magnetic field control. Research Highlights Developed scalable quantum computing architectures using optical interconnects Pioneered congestion-free hierarchical entanglement routing protocols Advanced photonic integrated circuits for spin-photon coupling in CMOS platforms Designed ultrastrong magnetic light-matter interaction systems via cavity engineering Grants & Advising No specific grants or advisees are currently listed in the provided information. Labs & Teams His work is conducted in collaboration with the Light Engineering research group at Stony Brook, focusing on experimental and theoretical advancements in quantum photonics and integrated quantum systems.

• Bioelectronics
• Bio-MEMS
• Biotelemetry
• +4 more

Dr. Virgilio Valente serves as an Assistant Professor in the Department of Electrical, Computer and Biomedical Engineering within Toronto Metropolitan University's Faculty of Engineering and Architectural Science. His research focuses on miniaturized wireless medical sensors for continuous remote health monitoring and future autonomous microintervention systems. His educational background includes a BSc from the University of York (2004), MSc from Aalborg University (2006), and PhD from University College London (2011). Research interests span bioelectronics, biotelemetry, Bio-MEMS, analog/mixed-mode IC design, and wireless biosensors, with emphasis on enabling continuous health monitoring and targeted therapies through grain-of-rice-scale autonomous systems. His recent publications reveal strong focus on wireless power transfer , implantable sensor interfaces , and energy-efficient circuit design for biomedical applications, with consistent contributions to IEEE journals on biotelemetry systems and microelectronics. Research trends show progression from fundamental circuit design toward integrated bidirectional bioelectronic interfaces. Senior Member, IEEE (2020) EPSRC i-sense Mobility Fellowship (2016) Best Poster Award, UCL Cullen Prize (2008) Actively supervises graduate students in biomedical engineering research, teaching courses including EES 604 (Electronics and Sensors) and BME 804 (Design of Bio-MEMS). Serves on IEEE Biomedical Circuits and Systems Technical Committee and as Track Chair for IEEE APCCAS 2019. His lab (WisLab) develops wireless biosensors for remote diagnostics and microintervention systems, with vision toward autonomous in-body therapies for controlled drug release and microsurgery.

• Nanofabrication
• Nanoelectronics
• Nanofluidics
• +5 more

Chao Wang is an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), with additional affiliation as Associate Faculty in the Biodesign Center for Molecular Design and Biomimetics. He joined ASU in 2015 as a Research Assistant Professor, became Assistant Professor in 2016, and was promoted to Associate Professor in 2022. His research bridges nanoscience and biotechnology, focusing on scalable nanomanufacturing, quantum optics, and liquid biopsy for biomedical, communication, and energy applications. Ph.D. Electrical Engineering, Princeton University (2012) M.S. Institute of Microelectronics, Tsinghua University (2006) B.E. Electronic Engineering, Tsinghua University (2003) His research emphasizes multidisciplinary integration of nanofabrication, photonics, fluidics, and biochemistry to develop compact sensing systems. Key areas include plasmonics, nanofluidics, and biosensor design for early disease detection. Recent publications highlight advancements in metasurface optics, nanopore DNA sensing, and structural color printing. He holds 32 U.S. patents for innovations in nanobiotechnology and nanofabrication. Notable awards include the NIH Director’s New Innovator Award (2022) and NSF CAREER award (2019). He serves on ASU committees such as the Nanofab Governance Board and reviews for 34 scientific journals. His lab at ASU (https://nanobio.engineering.asu.edu/) trains graduate students and researchers in nanotechnology applications.

Mekhail AnwarView profile

Associate Professor

• Bioengineering
• Radiation Oncology
• Integrated Circuit Design
• +5 more

Mekhail Anwar, MD, PhD is an Associate Professor at the University of California, San Francisco (UCSF) in the Department of Radiation Oncology. His work bridges bioengineering and integrated circuit design to develop novel solutions for cancer treatment , particularly in precision radiotherapy . Dr. Anwar is a core member of the UC Berkeley and UCSF Bioengineering group , combining expertise from both institutions. Dr. Anwar’s research focuses on miniaturized radiation detection , intraoperative imaging , and label-free biosensing using computer chip technology . His innovations include millimeter-scale dosimeters , chip-scale imagers , and ultrasonic backscatter implants for real-time monitoring in oncology. NIH DP2 New Innovator Award (2020) AACR-Novocure Career Development Award (2019) NIH Trailblazer Award (2019) New Directions in Prostate Cancer Research Award (2018) His lab ( Anwar Lab ) develops implantable sensors , wireless imaging systems , and single-cell characterization tools to enhance cancer diagnostics and treatment precision.

Gary H. BernsteinView profile

Professor

• Nanomagnet Logic
• Quilt Packaging
• Nanoantennas and Nanothermocouples
• +5 more

Gary H. Bernstein is the Frank M. Freimann Professor of Electrical Engineering at the University of Notre Dame, where he has been a faculty member since 1988. He is an IEEE Fellow and co-founder of Indiana Integrated Circuits, LLC, specializing in nanoelectronics and photonics research. His educational background includes: Ph.D., Electrical Engineering, Arizona State University, 1987 M.S., Electrical Engineering, Purdue University, 1981 B.S., Electrical Engineering, University of Connecticut, 1979 (Honors Scholar) Bernstein's research focuses on developing novel technologies for nanoscale systems, including Nanomagnet Logic for beyond-CMOS computing, Quilt Packaging for ultra-high-bandwidth chip interconnects, and nanoantenna-based infrared detectors for solar imaging. His work bridges materials science, nanofabrication, and device physics to solve challenges in high-speed communication and sensing. Recent publications reveal a dominant trend in infrared detection using thermoelectrically-coupled nanoantennas, with significant applications in solar astronomy and thermal imaging. Parallel research advances spin-wave devices and nanomagnet logic for energy-efficient computing architectures. His accolades include the IEEE Fellow designation and the Indiana Master of Innovation Award. Key honors recognize breakthroughs in Quilt Packaging commercialization and sensor technology. IEEE Fellow (2006) Sensors and Transducers Journal Best Paper of the Year (2006) IEEE Transactions on Advanced Packaging Best Paper of the Year (2007) Indiana Master of Innovation Award (2014) 1st Source Bank Commercialization Award (2016) NSF White House Presidential Faculty Fellowship (1992) UConn Academy of Distinguished Engineers (2011) Elevator Pitch Prize from MEMS Industry Group (2014) Bernstein has mentored 20 Ph.D. and 15 M.S. graduates. His research is funded by major initiatives including DARPA, NSF, and Semiconductor Research Corporation grants targeting next-generation nanoelectronics. DARPA magnetic logic research grant (2010) Semiconductor Research Corporation’s Nanoelectronics Research Initiative (2011) MID contract extension (2011) He directs the Bernstein Research Group operating the Notre Dame Nanoelectronics Facility (NDNF), collaborating with the Midwest Institute for Nanoelectronics Discovery (MIND). The group actively develops Quilt Packaging through Indiana Integrated Circuits while pioneering DNA origami nanopatterning and infrared sensor technologies.