Dr. Karuppasamy Soundarapandian is a Postdoctoral Researcher at ICFO (Institute of Photonic Sciences) within the Quantum Nano-Optoelectronics research group. He holds a PhD in Photonics from Universitat Politècnica de Catalunya (Spain). His work focuses on advanced materials and nanostructured systems for optoelectronic applications, with emphasis on graphene-based devices, quantum phenomena in 2D materials, and terahertz communication technologies. Dr. Soundarapandian's research spans from fundamental studies of exciton dynamics and carrier behavior to applied developments in high-speed data transmission and wearable sensors. His technical expertise includes fabrication and characterization of photonic devices, spectroscopic analysis, and integration of nanomaterials into functional systems. Recent projects involve exploring graphene's potential for 6G wireless communications, investigating topological edge states in hyperbolic media, and developing corrosion-resistant materials using natural inhibitors. Extensive experimental capabilities include ultrafast spectroscopy, terahertz time-domain spectroscopy, and advanced electron microscopy techniques. His contributions bridge nanotechnology, quantum physics, and applied photonics, addressing challenges in both fundamental science and next-generation technologies.
Dr. Viktor Gruev is a distinguished academic holding multiple professorships at the University of Illinois: Professor of Electrical and Computer Engineering, Bioengineering, and Biomedical and Translational Sciences. He also serves as the Program Leader at the Beckman Institute for Advanced Science and Technology and the Cancer Center at Illinois. His research focuses on bioinspired imaging systems, with applications in medical diagnostics, underwater geolocation, and polarization-based technologies. Gruev’s work integrates optical engineering, nanotechnology, and biomedical innovation. Key areas of expertise include multispectral imaging sensors, polarization sensors for tumor detection, and polarization-based underwater navigation systems. He has pioneered devices such as the 9-band camera for image-guided surgery and bioinspired polarization event cameras, leveraging machine learning and bio-inspired design principles. His research has led to advancements in fluorescence-guided surgical tools, nanoparticle contrast agents, and polarization division multiplexing for optical communication. Gruev’s interdisciplinary projects bridge engineering and medicine, with collaborations spanning cancer imaging, marine robotics, and material science. He holds leadership roles in university research initiatives and is affiliated with the Office of the Vice Chancellor for Research and Innovation.
Harijot Singh Bindra is an Assistant Professor in the field of Integrated Circuit Design. His research focuses on analog and mixed-signal circuit design, with a strong emphasis on data converters, low-power electronics, and high-speed signal processing. He has contributed to advancements in ADC architectures, delta-sigma modulators, and radar systems. His work spans technologies like CMOS and FDSOI, addressing challenges in energy efficiency, noise reduction, and high-frequency operations. Notable research areas include sub-sampling ADC front-ends, programmable frequency translators, and latch-based circuits. His publications span IEEE journals and conferences, with contributions to both academic and applied domains. Bindra has also been involved in patent development, including a notable invention related to latch circuitry. His research aligns with applications in telecommunications, radar systems, and agricultural monitoring. Key collaborators include prominent figures like Bram Nauta and Erik Klumperink. Despite no listed student advisees or explicit grants, his prolific output since 2013 reflects sustained engagement in cutting-edge circuit design and signal processing.
Franco Maloberti is a distinguished Professor of Electrical and Computer Engineering at the University of Macau's Faculty of Science and Technology. With a prolific research career spanning over three decades, he has authored over 315 publications in top-tier IEEE journals and conferences, demonstrating sustained scholarly productivity and significant contributions to the field of analog and mixed-signal circuit design. His educational background, though not explicitly detailed in the provided text, is inferred from his research trajectory to include advanced degrees in Electrical Engineering, likely from Italian institutions given his early career patterns. His research focuses on analog circuit design, data converters, low-power systems, biomedical circuits, and power management solutions for modern electronic applications. Professor Maloberti's publication record shows remarkable consistency and impact, with recent work (2020-2024) demonstrating continued innovation in high-speed data converters, biomedical instrumentation, and energy-efficient circuit design. His work bridges theoretical advances with practical implementations, often addressing challenges in emerging applications like implantable medical devices, high-speed communication systems, and edge computing architectures. His scientific contributions include pioneering work in data converter architectures, low-voltage circuit techniques, and power management solutions. The breadth of his research is evident in publications spanning IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems, and major conferences like ISCAS, ISSCC, and ESSCIRC. Professor Maloberti has mentored numerous researchers who have become prominent in the field, including Edoardo Bonizzoni, Rui Paulo Martins, and Sai-Weng Sin. His collaborative network spans institutions worldwide, with particularly strong ties to the University of Macau where his recent work is primarily conducted. His laboratory focuses on cutting-edge research in analog and mixed-signal integrated circuits, with current projects addressing challenges in biomedical instrumentation, high-speed data conversion, and energy-efficient circuit design for next-generation electronic systems.
Dominique Ginhac is a Professor of Electrical Engineering at the Laboratory of Electronics, Informatics and Image (Le2i UMR 6306) at the University of Burgundy in Dijon, France. He joined Le2i as an assistant professor in 2000 and was promoted to professor in 2009, also becoming head of the Sensors & Hardware Architectures team. In 2010, he became head of the Electronic department of Le2i, and in 2011, he was appointed Deputy Director of Le2i, overseeing approximately 200 people across three scientific departments: Computer Sciences, Vision, and Electronic. Ginhac holds a Master's Degree in Engineering from Polytech Clermont-Fd (1995) and a PhD in Computer Vision from Blaise Pascal University (1999). In 2008, he received his Habilitation qualification (Accreditation to supervise research) from the University of Burgundy. From 2007 to 2009, he was a visiting professor at Université Libre de Bruxelles in the Consciousness, Cognition & Computation lab, expanding his expertise into cognitive science applications for imaging systems. His research focuses on the development of smart imaging technology where sensing and processing are integrated as closely as possible to achieve low cost, low power, and high processing capabilities. His work spans hardware design of smart vision systems, implementation of real-time image processing applications, VLSI CMOS imaging technology, and embedded image processing on DSP/FPGA platforms. His research activities represent the crossroads between algorithmic and hardware solutions dedicated to real-time embedded image processing applications. An analysis of Ginhac's recent publications reveals a strong focus on smart camera and sensor development, particularly in high dynamic range imaging, single-photon detection, and configurable hardware accelerators. His work shows a clear trajectory from fundamental VLSI image sensor design toward increasingly sophisticated integrated systems combining sensing, processing, and specialized applications in medical imaging and real-time vision. His interdisciplinary approach bridges electronics, computer vision, and application-specific system design. Throughout his career, Ginhac has supervised 8 PhD students and published 20 papers in international peer-reviewed journals, 3 book chapters, and more than 50 conference papers. His research has resulted in several significant projects including VerIDIS (Vertically Integrated Digital Image Sensor), CAPTIvA (Asynchronous Photon-counTing Image sensor Architecture), HDR-ARtiSt (High Dynamic Range Adaptive Real-time Smart camera), and ASTICO (Assistance Textile Cognitive). Ginhac leads the Electronic department at Le2i, which is part of a research laboratory under the supervision of the University of Burgundy and the CNRS. His work involves close collaboration with industry partners and has resulted in practical implementations of smart imaging systems for applications ranging from medical monitoring to automotive vision systems. His current research continues to push the boundaries of integrated vision systems, with particular emphasis on 3D-stacked image sensors and photon-counting technologies.
Dr. Ajoy Opal is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. He serves as a Faculty Advisor and has held academic roles since completing his doctoral studies at the same institution. His research focuses on circuit theory, numerical algorithms for analog and switched circuits, and mixed analog-digital systems. He has co-authored a book and published extensively in VLSI, CMOS technology, and ESD protection circuits. Education: Doctorate in Electrical Engineering, University of Waterloo, 1987 Master's in Electrical Engineering, University of Waterloo, 1984 Bachelor's in Electrical Engineering, Indian Institute of Technology Delhi, 1981 Research Interests: Dr. Opal's work spans circuit simulation, analog filter design, VLSI systems, and low-leakage ESD protection circuits. His recent publications emphasize CMOS-based solutions for ESD clamps and power supply noise mitigation. He employs numerical algorithms to optimize circuit performance and reliability. Teaching: Recent courses include ECE 106 (Electricity and Magnetism) and ECE 140 (Linear Circuits), taught in 2020–2024. His academic contributions blend theoretical circuit analysis with practical VLSI applications. Labs/Teams: While no specific lab names are provided, his research aligns with advanced circuit design and VLSI systems, likely conducted through collaborative projects at the University of Waterloo's engineering facilities.
İrem Cömertoğlu is a Researcher at Istanbul Technical University in the Department of Electronics and Communication Engineering . Her work focuses on high-speed communication circuits and CMOS technology. Research Interests: She specializes in Amplifier Engineering, Communication Engineering, and CMOS Technology. Her research includes PAM-4/8 modulation, transimpedance amplifiers, and optical receiver systems. Recent Publications: Her contributions explore Variable-Gain Transimpedance Amplifiers (VG-TIA), Peak Detector Circuits for Automatic Gain Control, and inverter-based compact VGA designs, reflecting trends in high-speed communication and optical receiver circuits. Scientific Awards: No listed scientific awards. Advising and Grants: No explicit details on advising or grants provided in the text. Labs/Teams: No specific lab or team affiliations mentioned.
James Buckwalter is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on high-speed mixed-signal circuits, RF and millimeter-wave integrated systems, RF photonic interfaces, and optoelectronic integration using CMOS and III-V technologies. PhD: California Institute of Technology MS: University of California, Santa Barbara BS: California Institute of Technology His research explores heterogeneous integration of RF transistor chiplets, millimeter-wave power amplifiers, and energy-efficient optical communication systems. Recent work includes D-band and G-band circuit design, coherent optical links for data centers, and advanced packaging techniques. His 15 most recent publications (2024-2025) focus on millimeter-wave CMOS and III-V ICs, optical transceivers, and heterogeneous integration methods. Key trends include energy-efficient communication systems, DSP-free architectures, and high-frequency amplifier optimization. IEEE Fellow IEEE TMTT Young Engineer Award NSF Early Career Development Award DARPA Young Faculty Award IBM PhD Fellowship He leads the RF & Mixed-signal Integrated Systems Laboratory, which investigates radio-frequency CMOS, millimeter-wave ICs, optoelectronic transceivers, and software-defined radio technologies.
Xinyu Qin is a Professor at the Department of Electrical and Computer Engineering within the School of Information Engineering at Guangdong University of Technology. His research focuses on advanced robotics, signal processing, and integrated circuit design, contributing to fields like multi-manipulator systems and Delta-Sigma modulators. Education: Affiliated with prestigious institutions through collaborative research Research Interests: Robotics, Machine Learning, Electrical Engineering His recent publications (2023-2025) demonstrate expertise in robotic task allocation, high-speed circuit design, and explainable AI for healthcare. Award-winning work includes Interactive Explainable Deep Survival Analysis (2024) and SVP: Safe and Efficient Speculative Execution Mechanism through Value Prediction (2023). Key collaborations involve Guoxing Wang and Liang Qi across 16 records. Current projects involve optimizing convolutional neural network accelerators, analyzing atmospheric river impacts on Greenland's crustal deformation, and advancing MASH Delta-Sigma modulator architectures. His work bridges theoretical innovation with practical applications in smart energy systems and autonomous robotics.
Fabio Pareschi is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino, where he conducts research in circuit architectures, embedded systems, and signal processing with applications in security, AI, and power electronics. He is affiliated with the VLSILAB research group and leads multiple high-impact research projects. Research Interests: Chaos theory and true random number generation for cryptographic applications Compressed sensing for secure and efficient signal acquisition EMI reduction techniques in DC-DC power converters Tiny machine learning and low-power embedded systems Circuit design for IoT and biomedical applications The recent articles highlight a strong trend in integrating compressed sensing with encryption, leveraging chaos-based randomness for security, and optimizing power electronics for EMI reduction. His work bridges theoretical foundations with practical hardware implementations in microelectronics and embedded systems. Scientific Awards: Best Student Paper Award (IEEE, 2005) Best Paper Award (IEEE, 2005) IEEE PRIME Gold Leaf Certificate (2019) BioCAS Transactions Best Paper Award (2019) Best Student Paper Award at EMCCompo (IEEE, 2019) Advising and Grants: He supervises multiple PhD students in the Electrical, Electronics, and Communications Engineering program. He is the Scientific Director of the CESOIA project (Non-EU International Research, 2025–2028) on low-complexity AI models, and leads the ECS4DRES project (EU-funded, 2024–2027) on resilient energy systems. He also heads a commercial research project on high-performance DC-DC converters (2022–2025). His editorial roles include Associate Editor for IEEE Transactions on Circuits and Systems and guest editorships in multiple IEEE journals. Labs and Teams: He is a key member of the VLSILAB Group (DET), which focuses on VLSI systems, embedded signal processing, and secure hardware design.
Dr. Edward Gebara is an Associate Professor of Electrical and Computer Engineering at Michigan State University's College of Engineering. His expertise spans radiation-tolerant electronics, extreme-temperature integrated circuits, and self-healing mixed-signal techniques. He holds B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology (1996–2003). Research Interests: Radiation-tolerant electronics for aerospace Extreme temperature environment circuits Self-healing and reconfigurable ICs Wireless cancellation and signal integrity solutions Professional Activities: Former Director of Engineering at Electromagnetic Sensor Technologies Inc. (2011–2023) Adjunct Assistant Professor at Georgia Tech (2010–2011) IEEE MTT-S Symposium roles: Vice Chair (2010–2012), Technical Committee Chair (2018–2021), and Workshop Chair (2021) Awards: Best Paper Award at IEEE International Microwave Symposia (2000) Grants & Advising: Directed Ph.D. students in mixed-signal and microwave systems Led industry-academia collaborations in GaAs/GaN technologies Labs & Teams: Mixed-Signal Research Group at Georgia Tech (2003–2011) Electromagnetic Sensor Technologies R&D team
Prof. Dr.-Ing. Christian Meltebrink is a faculty member at the Faculty of Engineering and Computer Science , Osnabrück University of Applied Sciences. His research focuses on intelligent sensor systems , autonomous agricultural machinery , and safe environmental perception for outdoor robotics. Key research areas include: Validation methodologies for sensor systems in variable conditions Humanoid test bodies for autonomous vehicle safety Reproducible simulation of agricultural interference factors Embedded systems for field robots Optoelectronic sensor technology Recent publications address sensor validation for autonomous machines, with emphasis on detection reliability and environmental perception . His work integrates CCD/CMOS imaging , spectral analysis , and sensor fusion for agricultural applications. As head of the Laboratory for Intelligent Sensor Systems (located in buildings SO and SP, Sedanstraße 26, Osnabrück), he leads projects like "Amaizeing" field robot and high-speed sensor chip development . Collaborative efforts extend to industry partners (e.g., SICK AG) and institutions like Technische Universität Berlin. Teaching responsibilities include Physics I/II and Sensor Systems for engineering students. His laboratory delivers hands-on research opportunities in imaging technology , autonomous systems , and embedded sensor solutions .
Gil Bub is an Associate Professor in the Department of Physiology at McGill University, focusing on cardiovascular research and cardiac dynamics. His lab develops advanced imaging and computational methods for studying excitable cell networks in heart and brain tissues. Current research involves high-speed microscopy technologies (Temporal Pixel Multiplexing, RAP imaging, remote focusing) and optogenetic techniques to control and image cardiac excitation patterns. Teaching includes the course Mathematical Models in Biology (BIOL 309) , with supplementary tools like cellular automata and logistic map iterators. Research themes explore excitable media, spiral wave dynamics, and real-time optical control of cardiac tissue. The lab combines bioengineered myocyte sheets, co-cultures, and whole-heart models with novel microscopy and simulation programs. Instrumentation projects include ultra-fast sensors, three-photon microscope prototypes, and parallel imaging systems for high-throughput screening. Optogenetics work collaborates with Emilia Entcheva's COOL lab to sensitize tissues to light control, enabling precise manipulation of wave patterns and rhythms. Lab members include postdocs, PhD/MSc students, and undergraduate trainees. Prior students have pursued careers in academia, medicine, and industry. Collaborators span institutions including Oxford, UBC, and industry partners like Cordin Scientific Imaging.
Bingbing Yao is a researcher with expertise spanning analog/digital integrated circuit design, blockchain systems, and scholarly knowledge graph applications. Her work focuses on high-precision ADC calibration , deep reinforcement learning for blockchain sharding , and semantic organization of scientific knowledge .
Shubin Liu is a researcher specializing in microelectronics, integrated circuits, and analog circuit design. His work focuses on advanced ADC architectures (e.g., pipelined SAR, time-interleaved, noise-shaping), phase-locked loops (PLL), and sensor readout systems for MEMS and biomedical applications. Recent publications highlight collaborations with Zhangming Zhu and colleagues on high-speed, low-power, and PVT-robust designs. Research interests span Analog-to-digital conversion Low-power RF front-ends Calibration techniques High-frequency oscillators Biopotential amplifiers Time-interleaved ADCs His 15 most recent articles (2023-2025) explore power-efficient ADCs, jitter reduction in PLLs, and sensor interfaces, with keywords including Electronics, Integrated Circuits, Signal Processing, and Microelectronics. Notable subfields: SAR ADCs, Time-Domain Interpolation, Capacitor Mismatch Compensation, and IoT-optimized designs. Shubin Liu’s work is published in journals like IEEE Journal of Solid-State Circuits , Microelectronics Journal , and conferences such as CICC and ISSCC, reflecting his active engagement in cutting-edge analog and mixed-signal research.
