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Sandro Carrara is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Bio/CMOS Interfaces (BCI) laboratory. He is affiliated with the School of Engineering (STI), the Institute of Electrical Engineering (SCI-STI-SC), and the Integrated Systems Laboratory (LSI). His academic leadership spans teaching, doctoral supervision, and editorial roles in major journals including IEEE Sensors Journal and BioNanoScience. Education: Diploma in Electronics, National Technical Institute of Albenga, Italy Master in Physics, University of Genoa, Italy PhD in Biochemistry and Biophysics, University of Padua, Italy His research focuses on the integration of biological systems with CMOS technology, particularly in the development of nanoscale biosensors for health monitoring. Key areas include memristive biosensors, wearable and implantable sensors, electrochemical detection, and therapeutic drug monitoring. His work bridges electronics, nanotechnology, and biomedicine to enable point-of-care diagnostics and personalized medicine. His recent publications (2023–2025) show a strong trend toward sustainable printed electronics, machine learning for biosensing, in-memory computing for cancer diagnostics, and remote health monitoring. These works appear in high-impact journals such as IEEE Sensors Journal , Nanoscale , and Biosensors and Bioelectronics: X . Scientific Awards: IEEE Fellow (2015) IEEE Sensors Council Technical Achievement Award (2016) Distinguished Lecturer, IEEE Sensors Council (2017) Best Paper Award, IEEE MeMeA Symposium (2020) Multiple Gold and Bronze Leaf Prizes at PRIME and IEEE conferences Best Poster Awards at EMBEC and Nano-Tera meetings He actively advises PhD students and leads research projects involving CMOS-based biosensors, wireless implants, and smart sensor systems. His lab collaborates widely across disciplines and institutions, focusing on real-world applications in oncology, neurology, and environmental health. He has also contributed to the development of battery-free wearable devices, optical power transfer systems, and IoT-enabled telemedicine platforms. Laboratories and Teams: Bio/CMOS Interfaces (BCI) Laboratory, EPFL Integrated Systems Laboratory (LSI), EPFL Collaborations with IEEE Sensors Council and Circuits and Systems Society Editorial leadership in IEEE Sensors Journal and BioNanoScience

• Bioelectronics
• Nanotechnology
• CMOS Technology
• +12 more

Dr. Akhilesh Jaiswal serves as Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin-Madison, where his research pioneers device-circuit co-design for next-generation computing systems. His work focuses on enabling extreme-edge intelligence through processing-in-pixel technology, in-memory computing architectures, and bio-inspired neuromorphic systems. His academic credentials include: PhD in Nano-electronics from Purdue University (2019) MS from the University of Minnesota (2014) Bachelor of Technology from Shri Guru Gobind Singhji Institute of Engineering and Technology (2011) Dr. Jaiswal's research program centers on revolutionizing edge computing through hardware innovations that integrate sensing and processing. His device-circuit co-design approach leverages alternate state variables to create energy-efficient systems for real-time applications, with particular emphasis on retina-inspired sensors and photonic memory architectures. This work bridges semiconductor physics with AI acceleration needs, targeting applications from autonomous systems to biomedical devices. Analysis of his 2023-2025 publications reveals dominant themes in photonic SRAM-based in-memory computing (40% of output), retina-inspired motion processing (30%), and secure hardware architectures (20%). His team consistently develops novel bitcell designs that enable XOR logic execution within memory arrays while maintaining compatibility with CMOS fabrication processes. Recent work shows increasing focus on biomedical applications of processing-in-pixel technology. His distinguished recognition includes: Three consecutive ISI Exploratory Research Awards (2020-2023) IEEE Brain Community Best Paper Award (2022) 27 issued US patents with multiple pending applications Nomination for USC Moore Inventor Fellowship (2022) Dr. Jaiswal actively mentors graduate researchers through ECE 790/890/990 courses while securing exploratory funding through ISI and Keston Foundation awards. His patent portfolio demonstrates exceptional translational impact, with industry game-changer classifications from USPTO. The 2022 VLSI-SoC nomination and multiple research highlights in major outlets validate his contributions to hardware security and neuromorphic vision sensors. His laboratory develops integrated hardware platforms combining magnetic tunnel junctions, photonic memory, and CMOS image sensors to create unified processing-in-sensor systems. Current projects include retina-inspired motion segmentation for event cameras and electro-optic frequency transducers for quantum computing interfaces, with strong industry collaboration through patent licensing.

• Device-Circuit Co-design
• Processing-in-Pixel
• In-Memory Computing
• +4 more

Prof Aaron Thean is the Deputy President (Academic Affairs) and Provost at the National University of Singapore (NUS). Formerly, he served as Dean of the College of Design and Engineering at NUS and held senior roles at IMEC (Belgium) as Vice President of Logic Technologies and Director of Logic Devices Research. His expertise spans advanced semiconductor device technologies, including FinFETs, nanowire FETs, III-V/Ge channels, and emerging beyond-CMOS architectures. He holds degrees from the University of Illinois Urbana-Champaign (B.Sc., M.Sc., Ph.D. in Electrical Engineering) and has published over 300 papers with 50+ patents. His awards include the Gregory Stillman Award (2001) and Compound Semiconductor Innovation Award (2014). Research interests focus on semiconductor innovation, device-process co-optimization (DTCO), and monolithic 3D integration. Notable contributions include industry-first Gate-First HKMG technologies, advanced strained silicon platforms, and neuromorphic computing hardware. His work bridges academia and industry through collaborations with Qualcomm, IBM, and foundry partners. Current initiatives emphasize energy-efficient computing and wearable sensor systems. Prof Thean’s leadership spans NUS-wide academic strategy and global research partnerships. His technical legacy includes foundational advancements in transistor scaling, low-power CMOS design, and AI-driven failure analysis methodologies.

• Semiconductor Technology
• Advanced Electronics
• Nanoelectronics
• +6 more

A.T. Charlie Johnson serves as the Rebecca W. Bushnell Professor of Physics and Astronomy at the University of Pennsylvania's School of Arts & Sciences, where he has been a standing faculty member since 1994. His research program focuses on nanoscale systems and has established him as a leading figure in condensed matter physics, earning recognition from major scientific societies. His educational foundation includes: Ph.D. in Physics from Harvard University (1990) B.S. in Physics from Stanford University (1984) Professor Johnson's research centers on the development and application of atomic-layer nanomaterials, particularly graphene and transition metal dichalcogenides , for fundamental studies of transport phenomena and practical biosensor applications. His group employs advanced nanofabrication techniques at Penn's Singh Center for Nanotechnology to create devices that leverage biological molecules for chemical recognition in disease diagnosis, security screening, and environmental monitoring. This work bridges condensed matter physics with biomedical engineering , yielding innovative solutions for real-world detection challenges. Analysis of his 2023-2025 publications reveals three dominant research thrusts: (1) scalable graphene-based biosensor development for medical diagnostics, (2) exploration of quantum phenomena like Klein tunneling in novel nanoelectromechanical systems, and (3) interdisciplinary applications spanning oncology, planetary science, and fetal medicine. His work consistently emphasizes materials synthesis , device integration , and practical translation of nanoscale phenomena. His scientific contributions have been recognized with prestigious honors: Defense Science Study Group Fellow (2018-2019) Fellow of the American Association for the Advancement of Science (2017) Fellow of the American Physical Society (2011) Lindback Foundation Award for Distinguished Teaching (2003) David and Lucille Packard Foundation Fellowship (1994-1999) As an educator, Professor Johnson has mentored numerous graduate students and postdoctoral researchers, with notable alumni like Michael Biercuk (founder of Q-CTRL). His research has been supported through significant leadership roles including Director of the Nano/Bio Interface Center (2014-2017) and Packard Fellowship funding, enabling sustained innovation in nanotechnology. His group actively collaborates across disciplines to advance both fundamental understanding and practical applications of nanomaterials. Based at the Singh Center for Nanotechnology, Johnson leads a dynamic research team utilizing state-of-the-art facilities for nanofabrication and characterization. His laboratory maintains strong campus collaborations through secondary appointments in Electrical and Systems Engineering and Materials Science and Engineering, fostering an interdisciplinary environment for developing next-generation nanoscale devices.

• Condensed Matter Physics
• Nanotechnology
• Nanomaterials
• +4 more

Albert H. Titus is a Professor in the Department of Biomedical Engineering and an Adjunct Professor in the Department of Electrical Engineering at the University at Buffalo, State University of New York. He serves as Associate Vice President for Regulatory Support in the Office of the Vice President for Research and Economic Development. His research focuses on analog VLSI design for neuromorphic visual processing, biosensors, wearable devices, optoelectronic systems, and neural networks. Education: PhD in Electrical and Computer Engineering, Georgia Institute of Technology (1997) MS in Electrical Engineering, University at Buffalo (1991) BS in Electrical Engineering, University at Buffalo (1989) Research Interests: His work spans wearable and implantable sensors, bioinstrumentation, neural network-based visual processing, analog VLSI implementations, optoelectronics, and electronic packaging. He pioneered CMOS-based neuromorphic systems and developed patented technologies for glare sensing and RF power calorimetry. Publication Trends: His recent articles emphasize CMOS-integrated sensors, machine learning for bioimpedance analysis, implantable medical devices, and xerogel-based optical biosensors. These works bridge biomedical engineering and microelectronics. Scientific Recognition: He is a Fellow of the National Academy of Inventors and has received the SUNY Chancellor’s Award for Excellence in Service (2017), NSF CAREER award, and Western New York Inventor of the Year (2010). His inventions include a patented low-power glare sensor (U.S. Patent 7,586,079) featured in Popular Science’s 2011 Top Ten Inventions. Academic Leadership: As a faculty member, he has supervised nearly 20 PhD and over 40 MS students, while teaching courses in circuits, IC design, sensors, and signal processing across electrical and biomedical engineering disciplines.

• Wearable Sensors
• Biosensors
• Bioinstrumentation
• +5 more

Daniele Caviglia serves as Full Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, Italy. He holds the position of Coordinator for the Master's Degree in Electronic Engineering and teaches advanced courses including Radio Frequency Electronics, Electronic Devices, and Electronic Systems for Telecommunication across both Bachelor's and Master's programs. His research program focuses on ultra-low-power electronics for biomedical and environmental applications, with three primary thrusts: (1) nW-scale circuit design for bio-signal processing and neural interfaces, (2) advanced beamforming techniques in medical ultrasound imaging, and (3) energy harvesting systems for autonomous environmental monitoring. His group has pioneered inverter-based OTAs achieving sub-10nW operation and developed novel genetic algorithm-optimized apodization methods for plane-wave ultrasound imaging. Recent publications (2024-2025) reveal strong thematic continuity with increasing emphasis on practical implementations - particularly sea wave energy harvesters for environmental buoys and satellite microwave link systems for rainfall monitoring in urban settings. The work consistently bridges fundamental circuit innovation with real-world medical and environmental applications, maintaining high impact in IEEE and Elsevier journals.

• Ultra-Low Power Electronics
• Biomedical Circuit Design
• Ultrasound Imaging Systems
• +3 more

Matthew Johnston is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on integrating sensors with CMOS circuits, stretchable electronics, and bio-energy harvesting. He holds a B.S. from Caltech and a Ph.D. from Columbia University. Prior to academia, he co-founded Helixis, a biotech instrumentation startup, and worked in venture capital. His awards include the 2020 SRC Young Faculty Award and 2021 Teaching Excellence Award. Education : B.S., Electrical Engineering, California Institute of Technology, 2005 M.S., Electrical Engineering, Columbia University, 2006 Ph.D., Electrical Engineering, Columbia University, 2012 Research Interests : Johnston explores lab-on-CMOS platforms, stretchable sensor systems, and energy harvesting for low-power applications. His work bridges electronics engineering with biomedical and environmental fields, emphasizing practical applications through interdisciplinary collaboration. Awards : 2020 Semiconductor Research Corporation Young Faculty Award 2021 Oregon State University Teaching Excellence Award 2021 Provost Fellowship Advising & Grants : Johnston’s research is supported by grants from industry and federal agencies. His lab, the SIM Lab, develops innovative electronic systems for healthcare and environmental monitoring. Labs & Teams : He leads the SIM Lab , focusing on interdisciplinary projects in integrated circuits and biomedical applications.

• Integrated Sensors with CMOS
• Stretchable Electronics
• Lab-on-CMOS Platforms
• +3 more

Atila Alvandpour serves as Professor and Head of the Integrated Circuits and Systems Division at Linköping University's Department of Electrical Engineering (ISY), concurrently holding the position of Vice Head of the Department. He joined the university in 2003 following senior research scientist roles at Intel Corporation's Circuit Research Lab (1999-2003). His educational foundation includes M.S. and Ph.D. degrees earned from Linköping University in 1995 and 1999 respectively. Alvandpour's research centers on advanced nano-scale integrated circuit design , with pioneering work in data converters (ADCs/DACs) , RF transceivers , and ultra-low-power systems . His expertise spans sensor interfaces, energy-harvesting architectures, and multi-GHz digital circuits, driving innovations for IoT and biomedical applications through novel analog/mixed-signal techniques. Recent publications (2024-2025) reveal a strategic focus on system-level integration for emerging technologies, particularly energy-efficient SoCs for wireless optical sensing, RF energy harvesting, and bio-implantable devices. This trend emphasizes circuit miniaturization, power optimization, and multi-functional integration in cutting-edge CMOS processes. No formal scientific awards are documented in the source materials. As Division Head and active researcher with 24 U.S. patents, Alvandpour leads a significant research group within the Division of Electronics and Computer Engineering (ELDA). His IEEE senior membership and editorial roles for flagship journals like IEEE Journal of Solid-State Circuits demonstrate substantial professional influence, though specific grant details remain unspecified.

• Integrated Circuits and Systems
• VLSI Design
• Analog and Mixed-Signal Circuits
• +6 more

Aravind Nagulu is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University's Oakland, California campus. His research focuses on analog/RF/millimeter-wave integrated circuits, quantum computing hardware, bio-medical scanners, and analog computing systems. He leads the Nagulu Lab, which explores interdisciplinary applications of circuits and systems in quantum computing, biomedical imaging, and wireless communications. Education: PhD in Electrical Engineering from Columbia University (2021). Research Highlights: Current projects include cryogenic-CMOS circuits for scalable quantum systems (NSF CAREER Award, $500K) and dense spectrum monitoring for 6G networks (NSF NewSpectrum grant, $800K). His work bridges circuit design with emerging technologies like Floquet topological insulators and superconducting non-reciprocity. Awards: 2024 NSF CAREER Award Grants & Collaborations: NSF NewSpectrum (with Duke, Oregon State, Notre Dame) Institute for NanoSystems Innovation affiliation Labs/Teams: Directs the Nagulu Lab, part of Northeastern's interdisciplinary research ecosystem addressing quantum infrastructure and future wireless systems.

• Analog/RF/millimeter-wave integrated circuits
• Analog computing
• Bio-medical scanners
• +3 more

Prof. Taekwang Jang is an Associate Professor at the Department of Information Technology and Electrical Engineering, ETH Zürich. He leads the Energy Efficient Circuits and IoT Systems Group, focusing on analog and mixed-signal circuits for energy-constrained applications such as wireless sensor nodes and biomedical electronics. His research includes sensor interfaces, energy harvesters, power converters, and communication systems. He holds 15 patents and has authored over 80 peer-reviewed publications. Key awards include the 2024 IEEE Solid-State Circuits Society New Frontier Award and the SNSF Starting Grant. Educations: B.S. and M.S. in Electrical Engineering, KAIST (2006, 2008) Ph.D. in Electrical Engineering, University of Michigan (2017) Affiliations: Chair of IEEE Solid-State Circuits Society, Switzerland Chapter Associate Editor for Journal of Solid-State Circuits (JSSC) Research Interests: His work spans energy-efficient integrated circuits, biomedical interfaces, and IoT systems. Notable contributions include low-power keyword spotting ICs, ultra-low-noise amplifiers, and neural stimulation systems. He emphasizes practical applications in healthcare and wearable devices. Awards: 2024 IEEE Solid-State Circuits Society Distinguished Lecturer 2022 IEEE ISSCC Jan Van Vessem Award 2009 IEEE CAS Guillemin-Cauer Best Paper Award Advising & Grants: Supervises a team of researchers and has secured grants including the SNSF Starting Grant. His lab collaborates with institutions like the Competence Center for Rehabilitation Engineering and Science. Labs & Teams: Leads the Energy-Efficient Circuits and Intelligent Systems group at ETH Zurich, focusing on interdisciplinary projects at the intersection of circuits, systems, and biomedical engineering.

• Analog and Mixed-Signal Circuits
• Energy-Efficient Systems
• Wireless Sensor Networks
• +3 more

Dr. Yang Yi, a researcher at the National University of Singapore (NUS), has a multidisciplinary background in civil engineering, sustainability, and biomedical device development. He earned his BEng (1st Class Honours) and PhD in 2013 and 2017 respectively from NUS, focusing on lightweight sustainable construction materials and dynamic responses under blast loading. PhD, National University of Singapore, 2017 BEng (1st Class Honours), National University of Singapore, 2013 His research spans two distinct domains: sustainable construction and flexible bioelectronic devices . At NUS, he contributes to advancing implantable and wearable technologies for neuroscience applications, while previously driving sustainability initiatives at JTC Corporation and structural design at Meinhardt. The 15 most recent publications highlight his work on implantable optogenetic devices , flexible bioelectronics , and neural interfaces . These studies integrate materials science, neuroscience, and wireless engineering for applications in neuromodulation and biomedical systems. Scientific Awards: IES Sustainability Awards (Engineering Projects, 2023) Public Sector Engineering Innovation Challenge Award (2022) Silver Prize, ACI Singapore Chapter (2022) President Graduate Fellowship (2013-2017) Class of 1977 Silver Medal (2013) Multiple book prizes and medals (2010-2012) Contact: yangyi@nus.edu.sg

• Low-carbon building technology
• Sustainable Urban Development
• Life cycle assessment
• +9 more

Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits. His educational background includes: M.Sc. in Electronics Engineering from Politecnico di Milano (2022) B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018) Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies. His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation. Key recognition includes: 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat' As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors. The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.

• Analog circuit design
• Biomedical circuits and systems
• Ultra-low-power integrated circuits
• +4 more

Vijaykrishnan Narayanan is a Professor at the College of Engineering , Pennsylvania State University, with affiliations in both Computer Science & Engineering and Electrical Engineering departments. He co-directs the Microsystems Design Lab and leads the Architecture, Benchmarking, and Circuits Thrust at the DARPA/SRC LEAST Center. Education : Bachelors (1993) from University of Madras; Ph.D. (1998) from University of South Florida His research focuses on Power Aware Computing , Computer Architecture , Embedded Systems , and Emerging Device Integration . Recent work explores steep-slope devices for energy efficiency, nonvolatile processors for ambient energy harvesting, and neuromorphic architectures using hybrid VO₂-MOSFET oscillators. Key article trends span post-CMOS technologies (tunnel FETs, VO₂ devices), low-power design , and bio-inspired signal processing . Scientific Awards : IEEE Fellow, ACM Fellow, IEEE Transactions on VLSI Best Paper, IEEE Micro Best Paper Patents : Dynamically-configurable hardware architecture for audience analytics

• Power Aware Computing
• Computer Architecture
• Embedded Systems
• +4 more

Damu Radhakrishnan is an Associate Professor in the Department of Computer Engineering at SUNY New Paltz. He holds a Ph.D. in Electrical Engineering from the University of Idaho, following B.Sc. and M.Tech. degrees from the University of Kerala and IIT Kanpur, India. His research focuses on low-power digital architectures, high-performance arithmetic circuits, reversible logic, and bio-medical instrumentation. He teaches courses including Introduction to Engineering Science, Digital Logic Lab, Digital Systems Design, and Senior Design Project 2. Dr. Radhakrishnan has contributed to over 20 publications since 1983, emphasizing low-power circuit design, residue arithmetic, and biomedical device development. His work spans analog-to-residue converters, fault-tolerant systems, and medical instrumentation. Key technical reports include contributions to NASA Langley Research Center and EG&G Corporation projects. His research trends reflect a sustained focus on energy-efficient digital systems, with early contributions to CMOS power optimization and later advancements in biomedical device testing. His publications demonstrate expertise in both theoretical foundations (e.g., switching theory textbooks) and applied engineering (e.g., defibrillator analyzers). Dr. Radhakrishnan maintains an active lab in Resnick Engineering Hall, where he oversees senior design projects and collaborates on interdisciplinary engineering solutions. His technical reports highlight contributions to medical simulation tools, VLSI implementation methods, and analog-digital interface design.

• Low Power Digital Architectures
• High-Performance Arithmetic Circuits
• Reversible Logic
• +3 more

Andrei Faraon is the William L. Valentine Professor of Applied Physics and Electrical Engineering at the California Institute of Technology, where he has been a faculty member since 2012 and promoted to Professor in 2018. He works in the Division of Engineering and Applied Science within the Department of Applied Physics and Materials Science. Ph.D. in Applied Physics from Stanford University (2009) B.S. in Physics with Honors from Caltech (2004) His research focuses on solid-state quantum optics and nano-photonics , developing technologies for quantum information processing, ultra-low power optical signal processing, energy-efficient sensors, and bio-photonics. His group pioneers metasurfaces and cavity QED systems for quantum networks. Recent publications highlight expertise in dielectric metasurfaces , quantum memories , and photon pair generation . He leads research supported by grants from the Department of Energy (LMI-EFRC $15M renewal) and collaborates in MURI quantum engineering projects . 2023 Moore Foundation Experimental Physics Investigator 2018 Adolph Lomb Medal 2016 ONR Young Investigator 2015 NSF CAREER Award 2015 AFOSR Young Investigator He teaches graduate courses like APh/EE 130 – Electromagnetic Theory for Photonic Devices and APh/Ph 138 ab – Quantum Hardware and Techniques . The Nanoscale and Quantum Optics Lab at Caltech's T.J. Watson Laboratory develops quantum photonic platforms with rare-earth ions and inverse-designed meta-optics.

• Solid State Quantum Optics
• Nano-photonics
• Quantum Information Processing
• +6 more