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Andrew J. Mannix is an Assistant Professor in the Department of Materials Science and Engineering at Stanford University, appointed in 2020. His research group pioneers atomic-scale engineering of two-dimensional (2D) materials, with the overarching goal of tailoring electronic, optoelectronic, and quantum properties down to the fundamental limit of individual atoms. Education: Ph.D. in Materials Science and Engineering, Northwestern University (2017) B.S. in Materials Science and Engineering, University of Illinois Urbana-Champaign (2012) Research Focus: The Mannix laboratory specializes in growth, fabrication, and characterization of 2D semiconductors, borophene, and van der Waals heterostructures. By combining scanning tunneling microscopy, atomic force microscopy, hyperspectral optical techniques, and machine learning, the group accelerates discovery and optimization of materials for next-generation high-performance transistors, flexible electronics, bio-integrated sensors, and quantum information platforms. A signature achievement is the development of robotic, ultra-high-vacuum stacking systems that deterministically assemble complex van der Waals solids with atomic precision. Recent publications (2024-2025) reveal a concentrated thrust on: Monolayer and bilayer TMD (WS₂, WSe₂, MoS₂) device physics Moiré superlattices and twist-controlled quantum phenomena AI-driven parameter extraction for 2D transistors Defect healing and contact engineering strategies Ferroelectricity in 2D layered semiconductors Scientific Awards: Office of Naval Research Young Investigator Program (YIP) Award (2024) NSF CAREER Award (2024) Advising & Open Positions: Prof. Mannix is actively recruiting Ph.D. students, postdoctoral fellows, and Stanford undergraduates or REU participants. Ideal candidates possess backgrounds in materials science, physics, applied physics, engineering, or optics. Prior experience in 2D crystal growth, nanofabrication, or advanced characterization is advantageous but not mandatory. Interested individuals should forward CVs to ajmannix@stanford.edu . Lab & Infrastructure: The Mannix Research Group operates state-of-the-art facilities for MOCVD and hybrid CVD growth, robotic van der Waals stacking, scanning probe microscopy suites, and hyperspectral optical characterization. These resources enable rapid iteration from materials synthesis to device demonstration within a single collaborative environment.

• Two-dimensional materials
• van der Waals heterostructures
• Quantum materials
• +7 more

Hongkun Park is the Professor of Chemistry and Chemical Biology at Harvard University , with affiliations in the Department of Physics and the Quantum Science and Engineering Program. His lab, located at the Conant Laboratory (12 Oxford Street, Cambridge, MA), focuses on quantum optoelectronics, nano-bio interfaces, and quantum sensing/control. Email: hongkun_park@harvard.edu Phone: 617-496-0815 Research Interests: The Park Group develops nanoscale quantum devices for all-optical computing , solid-state quantum information processing , and biological sensing . Key areas include: Quantum optoelectronics (single quantum-level devices) Nano-bio interfacing (immune cell dynamics, neural mapping) Quantum sensing/control (diamond color centers, microemulsion studies) Recent Article Trends emphasize quantum communication (e.g., telecom network entanglement), nanoscale biological interfaces (CMOS-electrode arrays), and fundamental quantum phase transitions (Wigner crystals, Luttinger liquids). Scientific Awards : Elected to the American Academy of Arts and Sciences ETH Medal for Ph.D. work (awarded to advisee Deepankur) Lab Structure: The group holds weekly meetings and collaborates across disciplines, with alumni transitioning to faculty roles at Indiana University, HKUST, and IIT Patna.

• Quantum Optoelectronics
• Nano-Bio Interfaces
• Quantum Sensing & Control
• +3 more

Jennifer Blain Christen is a Professor at Arizona State University’s School of Electrical, Computer and Energy Engineering, where she leads the BioElectrical Systems and Technology group. Her research focuses on biomedical electronics, point-of-care diagnostics, and flexible neural interfaces. Education: Ph.D. in Electrical and Computer Engineering (2007), Johns Hopkins University M.S. in Electrical and Computer Engineering (2001), Johns Hopkins University B.S. in Electrical and Computer Engineering (1999), Johns Hopkins University Research Highlights: Development of bio-compatible CMOS integration techniques and microfluidic devices Projects on continuous sweat monitoring (NSF-funded) and low-cost HPV diagnostics (NIH-funded) NSF CAREER award for optogenetics in peripheral nervous system research Collaboration with Mayo Clinic on ultra-thin, high-resolution neural arrays Professional Roles: Board of Governors, IEEE Circuits and Systems Society Secretary, Biomedical Circuits and Systems Technical Committee Advisor for the Medical 3D Printing student club Scientific Awards: NSF Graduate Research Fellowship NSF G K-12 Fellowship NSF CAREER Award Grants: NSF-CISE-IIS (2015–2019): Disposable High Sensitivity Point-of-Care Immunosensors ATD (2014–2015): Tear Biomarker Diagnostic Device NSF-CISE-CCF (2014–2016): Adaptive Performance Models of Sensing Systems Labs & Teams: Leader of the BioElectrical Systems and Technology group at ASU Collaboration with Mayo Clinic on neural arrays

• Biomedical Engineering
• Electrical Engineering
• Microfluidics
• +15 more

Paolo Motto Ros is an Assistant Professor at the Department of Electronics and Telecommunications at Politecnico di Torino, with the MiNES (Micro&Nano Electronic Systems) group. He holds a Ph.D. in electronic engineering from Politecnico di Torino (2009), following an M.Sc. (2005). His career spans roles at Neuronica Laboratory (2009-2012), Istituto Italiano di Tecnologia (2012-2019), and since 2019 at Politecnico di Torino as Senior Post-Doctoral Researcher and Adjunct Professor. He is an IEEE member and has organized conferences like BioCAS, ICECS, and ISCAS satellite events. Currently, he supervises 6 PhD students in projects related to wireless power systems and biomedical devices. Education: M.Sc. and Ph.D. in Electronic Engineering (Politecnico di Torino, 2005/2009) Research Interests focus on: Event-driven digital integrated circuits and systems Low-power smart sensor networks Bio-inspired electronics for robotics and medicine Wireless power transfer for implants and wearables Human motion applications and agrifood electronics Publication Trends show expertise in biomedical device design, neural interfaces, wireless power systems, and bio-inspired wearables. He leads the NerveRepack EU-funded project (2023-2027) for neural exoprosthetics. His lab affiliations include the VLSILAB group, and he serves on editorial boards for Frontiers in Bioengineering and Biotechnology . No scientific awards are mentioned in the provided texts.

• Biomedical Engineering
• Wireless Power Transfer
• Bio-inspired Electronics
• +5 more

Prof. Laura Bégon-Lours is an Assistant Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, specializing in neuromorphic electronics and AI hardware. Her research focuses on developing analog in-memory computing systems using novel materials like conductive-metal-oxide/HfOx ReRAM and ferroelectric nanolaminates. She explores applications in bio-inspired computing, low-power neuromorphic processors, and beyond-CMOS device integration. Her work bridges material science and electronics engineering, emphasizing scalable, energy-efficient computing architectures. Key contributions include crossbar operation of ferroelectric tunnel junctions, BEOL integration of synaptic weights, and unsupervised learning models leveraging memristive systems. Current projects target multi-timescale synaptic weights and photonic-electronic hybrid systems for next-generation AI acceleration. Publications highlight advancements in resistive switching mechanisms, ferroelectric field effects, and neuromorphic processor design. Her research has been published in top journals, with recent focus on 2023-2025 innovations in analog computing and neuromorphic circuits.

• Neuromorphic Engineering
• AI Hardware
• Memristive Systems
• +3 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

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 .

• Computer Graphics
• Human-Computer Interaction
• Geometric Modeling
• +5 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.

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

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