Kwantae Kim is an Assistant Professor at the Department of Electronics and Nanoengineering within Aalto University's School of Electrical Engineering . He leads the Tiny Systems and Circuits (TSirc) Group , focusing on power-efficient analog/mixed-signal ICs for biomedical and neuromorphic sensor systems. IEEE Senior Member (2025) Collaborates with institutions across Europe, Asia, and America Specializes in ultra-low-power AI-embedded IoT platforms His research emphasizes Tiny, Sensory, Intelligent, and Wireless IoT systems through: Development of energy-efficient IC architectures Democratizing access to advanced chip design Hardware-software co-design for edge computing Recent publications highlight innovations in: Spoken-language-understanding SoCs Temporal-sparsity-aware keyword spotting Open-source silicon frameworks Awards include: 2025 IEEE Senior Member 2023 Best Poster Award (AICAS) 2019 Samsung HumanTech Silver Award Research partnerships span: Prof. Tobi Delbruck (UZH/ETH Zurich) Prof. Hoi-Jun Yoo (KAIST) Prof. Shih-Chii Liu (UZH) Prof. Sohmyung Ha (NYU Abu Dhabi)
Dr. Thalia Dominguez Bucio is a Senior Research Fellow at the Optoelectronics Research Centre (ORC), University of Southampton, within the Faculty of Engineering and Physical Sciences. She is a key member of the Silicon Photonics research group and actively contributes to the Horizon Europe PIXEurope project, advancing integrated photonic technologies. Her work focuses on silicon nitride as a material platform for next-generation photonic integrated circuits. Her research interests center on integrated photonics , silicon nitride platforms , nonlinear optics , and CMOS-compatible fabrication . She investigates low-loss photonic devices, efficient coupling mechanisms, and high-speed electro-optic modulators, with applications in optical communications and signal processing. Recent publications (2024) demonstrate a strong trend toward high-efficiency grating couplers , broadband wavelength conversion via intermodal four-wave mixing, and monolithic integration for low-power operation. These works reflect a cohesive research direction focused on enabling scalable, high-performance photonic integrated circuits using advanced silicon nitride technology. Speaker, Advanced Silicon Nitride Integration for CMOS Photonic Circuits, 2023 She currently supervises PhD students Qian Zhang and Lifeng Bao , and is accepting new PhD applicants. Her research is supported by major EU-funded initiatives like Horizon Europe. She is part of the Photonic Systems, Circuits and Sensors Group and the broader Silicon Photonics team at the ORC, fostering interdisciplinary collaboration in photonics research and development.
Donald Lie is a Professor and the Keh-Shew Lu Regents Chair in Electrical and Computer Engineering at Texas Tech University's Whitacre College of Engineering. His research focuses on low-power RF/analog integrated circuits, System-on-a-Chip (SoC) design, and interdisciplinary applications in medical electronics, biosensors, and biosignal processing. PhD, Electrical Engineering, California Institute of Technology (1995) MS, Electrical Engineering, California Institute of Technology (1990) BS, Electrical Engineering, National Taiwan University (1987) Donald Lie's research bridges RF/analog circuit design with biomedical engineering, emphasizing millimeter-wave power amplifiers for 5G systems and non-contact vital signs monitoring using software-defined radio (SDR). His work explores CMOS FD-SOI, GaN HEMTs, and SiGe technologies for high-efficiency, linear RF front-end modules and wearable biosensors. His 15 most recent publications focus on 5G communication systems , millimeter-wave power amplifier design in CMOS FD-SOI and GaN , digital predistortion techniques, and non-contact biosensors . These works highlight advancements in wideband amplifiers for 5G FR2 bands and wireless power transfer for medical devices. Institute of Electrical and Electronics Engineers (2017) Excellent Paper Award Winner (2019) Best Student Poster Paper Award Winner (2019) Donald Lie has secured NSF Student Travel Grants for conferences like RFIC 2022 and 2020. He leads the RF/Analog System-on-a-Chip (SoC) Design Lab , which develops innovative solutions for 5G RF front-ends and biomedical sensing systems.
Professor B M Azizur Rahman is a distinguished academic in the field of photonics at City University London, where he has served as Professor of Photonics in the Department of Electrical and Electronic Engineering since 2000. Previously, he was Reader in Photonics (1996-2000) and Lecturer (1988-1996) at the same institution. His academic journey began with a BEng (1971-1976) and MSc (1976-1979) from Bangladesh University of Engineering and Technology, followed by a PhD from University College London (1979-1982). His educational background laid the foundation for his extensive research career focusing on photonics, integrated waveguides, and optical sensors. Professor Rahman has made significant contributions to fields including plasmonic biosensors, fiber optic sensing technologies, supercontinuum generation, and metamaterial-based sensing systems. His research bridges theoretical modeling with practical applications in environmental monitoring, healthcare diagnostics, and engineering solutions. An analysis of his most recent publications (2022-2025) reveals a strong focus on advanced sensing technologies with applications across multiple domains. His work demonstrates expertise in combining photonics principles with nanotechnology, artificial intelligence, and novel materials to develop highly sensitive detection systems. Key research trends include the integration of deep learning with optical sensing, development of plasmonic-enhanced biosensors, and innovative waveguide designs for improved optical performance. Professor Rahman has maintained a highly productive research career with over 443 publications documented in his ORCID profile. His work shows extensive international collaboration with researchers from institutions in the UK, Bangladesh, Thailand, and other countries. While specific grant information is not provided in the available data, his sustained publication record across high-impact journals indicates successful research funding and supervision of numerous research projects over his career. His research group appears to focus on experimental photonics, computational modeling of optical systems, and development of novel sensing platforms.
Dusan Milosevic is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Electrical Engineering department. He is affiliated with the Mixed-Signal Microelectronics research group and the RF Sensing & Communication Lab. His research focuses on analog and RF electronics, particularly in power amplifiers, ultra-low-power RF systems, and energy harvesting. He holds an MSc from the University of Niš and a PhD from TU/e. Education: MSc in Electronics and Telecommunications Engineering (University of Niš, 2001) PhD in Electrical Engineering (TU/e, 2009) Research Interests: Design of RF power amplifiers and mm-wave circuits Ultra-low-power communication systems RF energy harvesting technologies High-efficiency analog circuit design His work emphasizes circuit techniques for wireless communication and integrates analog methods with digital control for improved performance. Teaching: Electronic Circuits 1 RF Transceivers 1: Fundamentals Electronics: Selected Topics Collaborations: Active in mm-wave communication, satellite links, and sensor networks. His recent work includes inter-satellite link front-ends and optoelectronic modulation systems. Labs/Teams: Leads the RF Sensing & Communication Lab, focusing on mm-wave systems and energy-efficient RF design.
Dr. Ava Hedayatipour is an Assistant Professor of Electrical Engineering at California State University at Long Beach (CSULB), where she joined in Fall 2020. She holds a Ph.D. from the University of Tennessee, Knoxville (2020), and degrees from Iran University of Science and Technology (B.S., 2012) and Shahid Rajaee Teacher Training University (M.S., 2015). Her research focuses on analog/mixed-signal circuit design, bio-implantable devices, low-power systems, and hardware security. Notable contributions include a first-of-its-kind integrated secure multimodal sensor and a flexible paper electrode for remote electrochemical experiments. Education: Ph.D., Electrical Engineering, University of Tennessee, Knoxville, 2020 M.S., Electrical Engineering, Shahid Rajaee Teacher Training University, Iran, 2015 B.S., Electrical Engineering, Iran University of Science and Technology, 2012 Research Interests: Analog and mixed-signal circuit design Biomedical devices and lab-on-chip applications Low-power, low-noise microelectronics Hardware security for IoT and biomedical sensors Flexible electrodes for wearable systems Awards: University of Tennessee Fellowship Award (2019) Outstanding Teaching Assistant Award (2018) BEST PAPER AWARD at IEEE DCAS 2025 2nd Place Winner at IEEE BIOCAS 2023 Innovation Challenge Advising & Grants: Lead CSULB LEAP program project on medical imaging braces Funded NSF project on chaotic analog security (2018–present) Collaborated with industry partners like Applied Medical and Synaptics Labs & Teams: Next Generation Wearable Lab at CSULB Focus on sensor design, hardware security, and biomedical applications
Q. Jane Gu is a Professor at the School of Electrical and Computer Engineering at Georgia Tech since September 2024, holding the Ed and Pat Joy Professorship. Previously, she was at the University of California, Davis (2012–2024) and the University of Florida (2010–2012). She earned her Ph.D. in Electrical Engineering from UCLA in 2007. Her research focuses on high-efficiency, low-power interconnects, millimeter-wave, sub-mm-wave, and terahertz integrated circuits and systems for applications in communication, radar, and imaging. Notable contributions include sub-THz resonator-based sensors, dielectric waveguide interconnect channels, and energy-efficient transmitters. Recipient of NSF CAREER Award (2013) 2015 UC Davis Outstanding Junior Faculty Award 2017 and 2018 Qualcomm Faculty Awards 2019 UC Davis Chancellor’s Fellow 2022–2023 IEEE SSCS Distinguished Lecturer Her group has garnered nine best paper awards, including top honors at the 2016, 2017, and 2020 IEEE MTT-S International Microwave Symposia. Research interests span terahertz interconnects, millimeter-wave radar systems, and integrated circuits for high-speed communication. Publications reflect advancements in sensor design, high-frequency transceivers, and phased-array systems, emphasizing energy efficiency and signal integrity.
Tathagata Srimani is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He previously served as a Postdoctoral Scholar in Electrical Engineering at Stanford University. His academic journey includes a Ph.D. and S.M. in EECS from MIT (2022 and 2018 respectively) and a B.Tech. in E&ECE from IIT Kharagpur (2016). Research Focus: Srimani’s work centers on nanoelectronics and transformative NanoSystems. Key areas include: Carbon nanotube field-effect transistors (CNFETs) and their monolithic 3D integration with silicon Ultra-dense 3D integration of logic and memory to address the 'memory wall' in AI/ML Technology-architecture co-design frameworks for energy-efficient computing Key Achievements: Developed first silicon fab-compatible CNFET processes (TNANO ’18, Nature ’19) Enabled CNFET RISC-V microprocessor and monolithic 3D integration with Analog Devices/SkyWater Recipient of MIT Presidential Fellowship (2016) and Morris Joseph Levin Award (2018) Teaching & Outreach: Teaches semiconductor devices and hardware design, including hands-on 'Hacker Fab' courses. Leads the NEXUS Research Group exploring heterogeneous nanomaterials (e.g., magnetic and oxide semiconductors) and thermal/power management in 3D systems. Future Directions: Expanding into probabilistic computing hardware, co-design frameworks for application-specific systems, and scaling 3D NanoSystem technologies for industrial adoption.
Dr. Youngchan Kim is a Lecturer in Quantum Biology at the University of Surrey , serving as Director of the Quantum Biology Doctoral Training Centre (QB-DTC). He is affiliated with multiple departments including the School of Biosciences, Advanced Technology Institute, and Quantum Sciences Group. PhD in Physics (2011), Korea Advanced Institute of Science and Technology MSc in Physics (2008), KAIST BSc in Physics (2006), Chung-Ang University Graduate Certificate in Learning and Teaching (2022), Advance HE His research focuses on quantum phenomena in biological systems at physiological temperatures, particularly using femtosecond optical spectroscopy and genetically engineered fluorescent proteins to explore evolutionary adaptations and develop quantum-bio-inspired technologies like room-temperature single-photon sources. The 15 most recent publications span quantum biology, biophotonics, and optical spectroscopy, with particular emphasis on quantum coherence in biological systems , terahertz birefringence , fluorescent protein dynamics , and biomedical imaging innovations . These works demonstrate his interdisciplinary approach bridging physics, biology, and medical applications. As QB-DTC Director, he leads transdisciplinary initiatives fostering collaboration between quantum physics and biosciences. His technical expertise includes time-correlated single-photon counting , common-path interferometry , and ultrafast fluorescence depolarization techniques.
Songbin Gong is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana Champaign, where he has been a faculty member since August 2013. He was promoted from Assistant Professor to Associate Professor in August 2019 and holds the Intel Alumni Fellowship. His research is centered at the Micro and Nanotechnology Lab, where he leads the Integrated RF Microsystems research group. Professor Gong's research focuses on RF and microwave photonics, microwave acoustics, and Micro-Electro-Mechanical Systems, with particular expertise in lithium niobate-based devices. His work spans the development of acoustic resonators, filters, and transducers operating from VHF to Sub-THz frequencies. Recent publications demonstrate significant advances in high-frequency acoustic devices, including GHz resonators with high electromechanical coupling and low loss characteristics. His research has direct applications in 5G communications, wireless sensing, and imaging systems. Gong has established himself as a leader in the field of RF MEMS and acoustic devices, with numerous high-impact publications in top journals including IEEE Transactions on Microwave Theory and Techniques, Journal of Microelectromechanical Systems, and Optics Express. His work shows a clear progression toward higher frequency operation, improved device performance, and novel integration approaches for next-generation communication systems. Among his notable achievements is the development of thin-film lithium niobate devices that overcome traditional frequency limitations of MEMS resonators, enabling operation beyond 10 GHz. This work addresses critical challenges in 5G and future wireless technologies where conventional approaches face scaling limitations. IEEE Ultrasonics Early Career Investigator Award DARPA Young Faculty Award 2014 NASA Early Career Faculty Award 2017 Intel Alumni Fellow 2017-present Multiple Best Paper Awards at major conferences including International Ultrasonic Symposium and International Microwave Symposium Professor Gong actively mentors graduate and undergraduate students, with several of his PhD students achieving notable success, including Ruochen Lu who joined UT Austin as a tenure-track assistant professor. His research group has secured significant funding from agencies including DARPA and NASA, supporting cutting-edge work in RF microsystems. The group maintains strong industry connections, particularly with Intel, reflecting the practical relevance of their research to commercial communication technologies. The Gong Research Group leverages micro/nano electro mechanical systems (N/MEMS), integrated photonic, and compound semiconductor technologies to develop chip-scale hybrid microsystems for RF communication, sensing, and imaging applications. Their current work focuses on pushing the boundaries of acoustic device performance while maintaining compatibility with standard semiconductor manufacturing processes.
Soner Sonmezoglu is an Assistant Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on implantable and wearable medical devices enabled by advanced microelectronics and microfabrication for neurological, diagnostic, and therapeutic applications. He leads the Sonmezoglu Lab and has secured major grants including a $13M ARPA-H award for developing photoacoustic imaging systems for early lung cancer detection. Education: PhD in Electrical and Computer Engineering, UC Davis (2017) BSc and MSc in Electrical Engineering with a minor in Solid-State Physics, Middle East Technical University (2010-2012) Postdoctoral Researcher, UC Berkeley EECS (pre-2022) Research Interests: His work spans integrated circuits, micro/nano electromechanical systems (M/NEMS), neural interfaces, and medical device integration. Key projects include ultrasonic wireless neural interfaces and millimeter-scale oxygen sensors for deep-tissue monitoring. Current initiatives include the PAIL project for lung cancer diagnostics. Awards: UC Davis Graduate Division Fellowship Scientific and Technical Research Council of Turkey Graduate Fellowship Grants & Collaborations: Principal Investigator of ARPA-H's $13M PAIL initiative. Active in the Institute for NanoSystems Innovation, contributing to chip-level technology advancements. Labs/Teams: Directs the Sonmezoglu Lab at Northeastern, focusing on next-generation biomedical device innovation through interdisciplinary microsystems engineering.
Matthias Kuhl is a Professor at the Institute of Microsystems Technology (IMTEK) at the University of Freiburg since April 2022. He leads research projects focused on neural probes, biomedical implants, and integrated microelectronic systems. His work includes developing low-power neural interfaces, stress sensors, and energy-efficient circuits for medical applications. Research Interests Neural probes with electronic depth control Implantable biomedical devices CMOS integrated sensors and actuators Energy harvesting for autonomous systems Microfabrication and 3D-printed electronics Key Projects Advanced EDC: Intracortical neural probes with electronic depth control ComBiNE: Bidirectional neural exchange components SEAM-WiT: Implantable neural probe transceivers Multi-material 3D-printed electronics His recent publications emphasize low-power neural front-ends, stress sensor integration, and biomedical system design. He advises numerous graduate students on topics ranging from CMOS circuit design to biohybrid systems. Labs & Teams He leads the Professur für Mikroelektronik lab, specializing in microelectronic systems for biomedical and industrial applications. Collaborates with orthodontic, neurobiology, and materials science groups.
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.
Dr. Chenhao Chu is a Professor at ETH Zürich, holding the Professur für Elektronik (Professorship for Electronics). He specializes in RF/mm-Wave circuits, AI-driven design methods, and advanced power amplification technologies. His research focuses on energy-efficient, wideband systems, antenna-in-package solutions, and GaN-based applications for 6G and beyond. Education: Ph.D. in Electronic Engineering, University College Dublin (2022) M.Sc. in Electronic Information Engineering, City University of Hong Kong (2017) Research Interests: His work bridges AI and hardware design, emphasizing reconfigurable circuits , high-linearity power amplifiers , and mm-Wave phased arrays . Key areas include: AI-assisted rapid design synthesis III-V/Si co-design for mm-Wave Efficient antenna integration Dynamic load modulation techniques Awards: Award-winning researcher with distinctions including the First Place Best Student Paper Award (2022 Royal Irish Academy Colloquium) and multiple HEPA-SDC Competition Awards (2021-2022). Recognized for innovations in PA efficiency and design automation. Advising & Grants: Leading projects on 6G PA architectures and AI-driven RF design. Active in IEEE with contributions to conferences like IMS and ARFTG. No explicitly stated grants mentioned but widely cited in industry-academia collaborations. Labs & Teams: Associated with ETH Zürich's Electronics Laboratory, focusing on next-generation wireless systems. Collaborates internationally on 5G/6G infrastructure and mm-Wave innovations.
Prof. Dr. Oliver Paul is a Full Professor at the Department of Microsystems Engineering (IMTEK), University of Freiburg, since 1998. He previously held roles such as Dean of Studies (1999–2002), Director of IMTEK (2006–2008), and Dean of the Faculty of Engineering (2016–2018). His research focuses on Microsystems for biomedical applications, MEMS technology, sensor systems, and advanced fabrication techniques. Key projects include the Excellence Cluster BrainLinks-BrainTools (2012–2017) and the Institute for Brain-Machine Interfacing Technology (IMBIT, 2015–present). Paul’s education includes a Diploma in Physics (1986, ETH Zurich) and a PhD in Solid-State Physics (1990, ETH Zurich). He has supervised numerous PhD students and postdocs, contributing to topics like neural probes, energy harvesting, and sensor calibration. His teaching spans courses in MEMS, semiconductors, and quantum mechanics. He co-founded Sensirion (1998) and Atlas Neuroengineering (2012), and holds editorial roles in journals like Sensors and Actuators A and IOP Journal of Micromechanics and Microengineering. His research interests include multisensory system calibration, biohybrid microsystems, and MEMS-based tools for neuroscience. Notable contributions include silicon neural probes, advanced microneedles, and telemetric smart orthodontic brackets. He has led large collaborative projects involving academia and industry, emphasizing interdisciplinary innovation in microsystems and biomedical engineering.
