جست‌وجوی استاد و پژوهشگر

Ali Wanis Ali Elshaariمشاهده پروفایل

دانشیار

• Quantum Photonics
• Topological Photonics
• Quantum Integrated Photonics
• +۷ مورد دیگر

Ali W. Elshaari is an Associate Professor at the Royal Institute of Technology (KTH) in Stockholm, Sweden. He holds a B.S. in Electrical Engineering from the University of Benghazi (2007) and a Ph.D. in photonics from the Rochester Institute of Technology (2011). His postdoctoral research at TU Delft’s Kavli Institute of Nanoscience focused on quantum transport. Currently, he leads the Quantum Nano Photonics Group, pioneering work in topological and quantum integrated photonics to develop high-performance circuits for communication, sensing, and metrology. His research spans hybrid quantum photonics, strain-tunable systems, and superconducting detectors, with applications in quantum communication and quantum materials characterization. Elshaari's research interests include integrating single-photon emitters into CMOS-compatible platforms, exploring quantum phenomena like entanglement and coherence, and developing advanced photonic materials (e.g., hexagonal boron nitride and Cu₂O). He has contributed to on-chip single-photon generation/filtering, strain-tunable photonic circuits, and slow-wave superconducting detectors. His work bridges experimental and theoretical approaches, leveraging imaging techniques and phase retrieval algorithms. Elshaari is an editorial board member for Nature Portfolio - Scientific Reports , Wiley Advanced Quantum Technologies , and EPJ Quantum Technology . He teaches courses in quantum technology, electromagnetism, and optical physics. His funding includes grants from the Wallenberg Foundation, Swedish Research Council, Vinnova, and the European Research Council. His lab actively recruits students for bachelor’s and master’s projects in quantum photonics and nanophotonics.

• Biosensors
• Nanotechnology
• Materials Science
• +۴ مورد دیگر

Prof. Vivek Pachauri holds the Chair of Materials for Electrical Engineering I at RWTH Aachen University, leading research at the Institute of Materials for Electrical Engineering. His work bridges materials science and bioelectronics, focusing on graphene-based transducers, silicon nanowires, and metal-organic frameworks (MOFs) for biosensing applications. University: RWTH Aachen University (Germany) Department: Materials for Electrical Engineering Academic Rank: Professor Email: pachauri@iwe1.rwth-aachen.de His research spans nanoscale sensor development , microfluidic platforms , and bioelectronic systems , with applications in disease detection, environmental monitoring, and cellular analysis. Recent work highlights programmable molecular amplification and multi-parametric point-of-care diagnostics. Key trends in his publications include: Advanced 2D materials (graphene oxide, MoS 2 ) Metal-organic frameworks for fluorescence sensing Microfluidic integration of biosensors Plasmonic and Fano resonance-based detection Low-cost cellular assays using organic electronics

Gul N. Khanمشاهده پروفایل

استاد

• Embedded Systems
• Hardware/Software Co-design
• Network-on-Chip (NoC)
• +۷ مورد دیگر

Dr. Gul N. Khan is a Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University (formerly Ryerson University). He has held academic positions at the University of Saskatchewan, Nanyang Technological University, RMIT University, and Quaid-i-Azam University. His career spans over three decades with a focus on embedded systems , network-on-chip (NoC) , and heterogeneous computing . Education: Ph.D. (Imperial College, 1989), M.Sc. (Syracuse University, 1982), B.Sc. (UET Lahore, 1979) Dr. Khan’s research interests include hardware-software co-design , CPU-GPU systems , fault-tolerant computing , and smart RFID systems . His work has led to over 125 refereed publications and three US patents. His recent publications highlight advancements in GPU auto-tuning , NoC synthesis , and digital time interpolators . Despite being listed in a Google Scholar block with unrelated public health topics, these appear to be errors, as his core expertise remains in computer engineering. Dr. Khan has supervised numerous graduate projects in embedded systems and SoC design . He served as Program Director for Computer Engineering from 2004–2015 and leads the Microsystems Research Lab at Toronto Metropolitan University.

Mona Hellaمشاهده پروفایل

استاد

• Integrated Circuits Design
• High Frequency Systems
• Power Management
• +۴ مورد دیگر

Professor Mona Hella was a Full Professor in the Department of Electrical, Computer, and Systems Engineering (ECSE) at Rensselaer Polytechnic Institute (RPI), part of the School of Engineering. Her roles included leading RPI’s Chips Initiative and collaborations with industries such as Qorvo Inc. and GlobalFoundries. She held a PhD in Electrical Engineering from Ohio State University (2001) and joined RPI in 2004 after industry work in RF design. Notable recognitions include a Fulbright Scholarship (2015) and IEEE Senior Member status (2016). Her research focused on integrated circuits (IC) design, high-frequency systems (RF/mm-Wave/THz), power management, and biomedical applications. Collaborations spanned departments like Mechanical Engineering and Biomedical Engineering, leveraging clean rooms at RPI, Cornell, and MIT Lincoln Labs. She pioneered IC design education, establishing ECSE’s analog and RF curricula and leading the ECSE Maker Space and Mercer Lab. Research outputs included over 150 peer-reviewed publications, 5 patents, and industry partnerships with Analog Devices and Efabless. Her work emphasized THz gas sensing, silicon photonics, and energy-efficient circuits. A commemorative event highlighted her legacy as a mentor to 14 PhD, 8 master’s students, and many undergraduates, many of whom now lead roles in semiconductor and tech industries. Awards : Fulbright Scholar (2015), IEEE Senior Member (2016) Labs/Teams : ECSE Maker Space, Mercer Lab, Collaborations with MIT, Cornell, and international foundries Grants/Contracts : Supported by GlobalFoundries, TSMC, Fraunhofer Institute, and others

• Analogue and Mixed Signal IC Design
• Digital System Design (FPGA)
• CMOS Lab-on-Chip Platforms
• +۴ مورد دیگر

Junming Zeng is a Researcher at the Department of Electrical and Electronic Engineering, Faculty of Engineering at Imperial College London. His work focuses on advanced CMOS technologies for biomedical applications, including lab-on-chip platforms and ion imaging systems. He holds a PhD from Imperial College London (2022), following a Master's in Analogue and Digital Integrated Circuit Design (2017) and a Bachelor's in Electronic Engineering (2016), both from UK institutions. His research interests span analogue/mixed-signal IC design, FPGA-based digital systems, and ultra-high-speed ion sensing solutions. He has pioneered CMOS lab-on-chip platforms for real-time chemical monitoring and developed compressed sensing techniques for optimizing sensor array performance. His work integrates deep learning for applications like diabetes glucose prediction and drift compensation in ISFET sensors. Zeng has received the Best Student Paper Award (1st Prize) at ISCAS 2018 and Imperial's Department PhD Scholarship. His research bridges electrical engineering and biomedical engineering, with a focus on scalable, energy-efficient systems for healthcare and diagnostics. He leads projects involving edge computing, temporal fusion transformers, and microfluidic integration, demonstrating expertise in both hardware innovation and algorithmic development. His lab develops cutting-edge systems such as 1000fps ISFET SoCs with programmable gain and high-throughput digital readout architectures. Recent work includes live demonstrations of real-time pH monitoring in 3D-printed microfluidic systems and spatio-temporal ion membrane characterization platforms.

Andrei Faraonمشاهده پروفایل

استاد

• Solid State Quantum Optics
• Nano-photonics
• Quantum Information Processing
• +۶ مورد دیگر

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.

Andreas Andreouمشاهده پروفایل

استاد

• Neuromorphic Engineering
• CMOS Microsystems
• Sensory Information Processing
• +۶ مورد دیگر

Andreas Andreou is a Professor of Electrical and Computer Engineering at Johns Hopkins University (JHU), with secondary appointments in Computer Science and the Whitaker Biomedical Engineering Institute. He co-founded the JHU Center for Language and Speech Processing (CLSP) and co-directs the Andreou Lab, focusing on brain-inspired microsystems, neuromorphic engineering, and biomedical sensors. His research spans CMOS-based neuromorphic processors, event-based vision systems, and wearable health monitoring devices like the StethoVest. Key contributions include silicon retinas, polarization-sensitive imagers, and algorithms for pattern analysis. Research Interests: Neuromorphic Computing: Designing energy-efficient brain-inspired chips using 3D CMOS, FETs, and memristive technologies. Biomedical Microsystems: Wearable acoustic sensors for cardiac monitoring and vestibular prosthetics. AI Hardware: Neuromorphic accelerators for edge computing, leveraging LLMs for automated circuit design. Notable Achievements: IEEE Fellow (since 2020) Recipient of the 3rd Best Paper Award at IEEE BioCAS 2018 $2M DARPA grant for bio-inspired event cameras Labs/Teams: The Andreou Lab collaborates with the Kavli Neuroscience Discovery Institute and NSF-funded neuromorphic projects. Ongoing work includes neuromorphic Ising machines, LLM-driven chip design, and quantum sensing for medical applications.

• Sensor Engineering
• Photonics
• Machine Learning
• +۵ مورد دیگر

Associate Professor Ranjith Rajasekharan Unnithan is a Research Group Leader and Assistant Dean (Graduate Research Experience) at the University of Melbourne's Faculty of Engineering and Information Technology. He also serves as Director of Sensor Research at Hort-Eye Pty Ltd (precision agriculture drones) and Lead Scientific Advisor at KDH Design Co Ltd (AR technology). His academic affiliations include: Associate Professor, Department of Electrical and Electronic Engineering Advanced Sensors Spectral Image Sensors Researcher Topical Editor, Optics Letters (Optica/OSA Group) Research Focus: Spanning image sensors , augmented reality displays , nanophotonic engineering , and biomedical sensing with applications in space, agriculture, and neurological disorders. Key technologies include: Photonics and Electronics for sensor systems Machine learning integration with sensor data Miniscope Lab-on-chip Sensors Autonomous drone sensing platforms Scientific Recognition: Dean's Excellence Award in Industry Research (2024) EMI Emerging Leader Award (2020) MCN Tech Fellow Ambassador (2019) Transurban Innovation Competition Winner (2017) Academic Background: PhD in Electrical Engineering from the University of Cambridge and Executive Certificate in Management from MIT's Sloan School.

Nicole McFarlaneمشاهده پروفایل

دانشیار

• Electrical Engineering
• Microelectronics
• Biosensors
• +۳ مورد دیگر

Nicole McFarlane is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK), where she also holds the TCE Advance Professor title. She is affiliated with the Tickle College of Engineering and leads the Micro-Bio-Electronics Group (MLAB), focused on advanced sensor technologies. Education: Nicole McFarlane earned a PhD in Electrical Engineering from the University of Maryland, College Park (2010), and dual bachelor's (BS, 2001) and master's (MS, 2003) degrees in Electrical Engineering from Howard University, Washington D.C. Research Interests: Her work centers on developing compact, efficient sensor systems using mixed-signal CMOS strategies and nanotechnology. Applications span electrochemical biosensors, point-of-care medical devices, nuclear imaging panels, and hardware security for embedded systems. The MLAB lab emphasizes cost-effective, scalable solutions for healthcare, military, and research domains. Article Trends: Recent publications (2024) highlight innovations in perimeter-gated SPAD arrays for cryptographic security, silicon photomultipliers for nuclear imaging, and asynchronous readout architectures. 2023 work includes multimodal gesture recognition systems and pH sensors with integrated encryption. These studies reflect her focus on merging cutting-edge CMOS technologies with secure, multifunctional sensor design. Scientific Awards: No awards explicitly listed in the provided texts. Advising & Grants: Nicole advises students in the Kao Department's graduate and undergraduate programs. While specific advisee names are not provided here, her research is supported by grants in microelectronics and sensor integration. She has pioneered portable biosensor systems, including wireless pH-impedance devices and encryption architectures for wearable health monitors. Labs & Teams: As founder/leader of the Micro-Bio-Electronics Group (MLAB), she oversees projects combining CMOS fabrication with nano/micro-fabrication techniques. The lab explores applications ranging from implantable medical sensors to battlefield-ready detection systems, emphasizing interdisciplinary collaboration.

Donhee Hamمشاهده پروفایل

استاد

• Biomedical Engineering
• Semiconductor Technology
• Quantum Electronics
• +۴ مورد دیگر

Donhee Ham is the John A. and Elizabeth S. Armstrong Professor of Engineering and Applied Sciences at Harvard University , focusing on the intersection of semiconductor technology, biomedical engineering, and quantum electronics . His lab develops advanced CMOS-based systems for neuronal interfaces, magnetic resonance imaging, and bio-silicon hybrid platforms, with applications in cellular electrophysiology, data storage, and quantum sensing . Recent work includes: High-density microhole electrode arrays (iMEA) for synaptic connectivity mapping Portable NMR/MRI systems for molecular fingerprinting and bacterial monitoring Gigahertz plasmonic devices and 2D electron gas systems for microwave non-reciprocity Hybrid cyto-silicon systems with closed-loop modulation Exploration of low-power electronics and DNA-based data storage His research often bridges solid-state circuits with biological applications , as seen in his Nature and Nature Communications publications. Collaborations span Harvard SEAS, MIT, and international institutions.

• MEMS
• Biomedical Engineering
• Optics
• +۶ مورد دیگر

Prof. Dr. Onur Ferhanoğlu is an Associate Professor at the Department of Electronics and Communication Engineering, Istanbul Technical University. His research focuses on MEMS, biomedical engineering, optics, and photonics, with applications in laser scanning capsule endoscopy, photoacoustic imaging, and microfluidic sensors. Education: PhD in Electrical and Electronics Engineering from Koç University (2011), Master's and Bachelor's from Bilkent University (2003, 1999). Postdoctoral: University of Texas at Austin (2011-2014). Research Interests: He specializes in developing AI-supported CMOS-MEMS platforms for medical imaging, magnetic actuator systems for capsule endoscopy, and optical waveguide sensors for viscosity measurements. His work bridges microsystem technologies with clinical applications. Scientific Awards: Academic Performance Award (2022) Publication Award (2022) IEEE Türkiye Research Incentive Award (2018, 2022) Projects: He leads projects funded by TÜBİTAK and BAP, including the development of a laser scanning wireless capsule endoscopy device (2020-2023), photoacoustic endoscopes (2018-2021), and AI-driven optical communication systems for biomedical imaging (2024-2025).

Dominique Ginhacمشاهده پروفایل

استاد

• Hardware design of smart vision systems
• Real-time image processing applications
• VLSI CMOS imaging technology
• +۵ مورد دیگر

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.

Yeo Kiat Sengمشاهده پروفایل

استاد

• Low-power IC Design
• RF/mm-wave Integrated Circuits
• CMOS Technology
• +۴ مورد دیگر

Professor Yeo Kiat Seng is an internationally renowned academic and IEEE Fellow specializing in low-power integrated circuit (IC) design, RF/mm-wave systems, and CMOS technology. He currently serves as Associate Provost for International Relations and Chairman of the University Research Board at Singapore University of Technology and Design (SUTD), while holding adjunct roles at Nanyang Technological University (NTU). Yeo has over 30 years of industry and academic leadership, including founding NTU's VIRTUS IC Design Center and securing over S$70M in research funding. His work focuses on advancing semiconductor technologies for 5G/6G communications, IoT, and energy-efficient systems. Roles: Professor (EPD, SUTD), Associate Provost (International Relations), Adjunct Professor (NTU) Education: B.Eng. (EE, NTU, 1993), Ph.D. (EE, NTU, 1996) Research Interests: Low-power IC design, RF/mm-wave integrated circuits, CMOS technology, visible light communications, and IoT solutions. Yeo has authored 10 books, 7 book chapters, and over 600 refereed publications, with notable contributions to IEEE journals. His patented innovations include world-leading RF filters and transceiver chipsets (e.g., VIRTUS 60GHz chipset). Recent Articles Trends: Focus on 6G/5G systems, AI-driven circuit design, energy harvesting, and miniaturized RF components. Key areas include high-efficiency power amplifiers, low-power receivers, and advanced antenna designs for millimeter-wave applications. Awards: Public Administration Medal (2009), IEEE Fellow (2016), Long Service Medal (2020), Top 2% Global Scientists (2020–2023) Grants & Collaborations: Over S$70M in funding from agencies like Singapore Economic Development Board. Partnerships with industry leaders include Kulicke & Soffa, M1, and Silvaco for 5G robotics and AI-driven IC design platforms. Labs/Teams: Leads SUTD's RF/mm-wave research initiatives and collaborates with NTU's School of EEE. Active in international conferences as Technical Chair and Editor for IEEE Transactions.

• Materials Engineering
• Nanotechnology
• Semiconductor Technology
• +۵ مورد دیگر

Prof Francesca Iacopi is an Adjunct Professor at the Faculty of Engineering & Information Technology , University of Technology Sydney (UTS). She also holds an adjunct position at Purdue University, IN, USA, and serves as Imec Fellow & Director of the Indiana R&D Center for Imec USA. With a PhD in Electrical Engineering/Materials Science from Katholieke Universiteit Leuven (2004) and MSc in Physics (1996) from Sapienza University of Rome, she has 20+ years of leadership in semiconductor R&D and academic innovation. IEEE Fellow & Elected Board of Governors Member (2021-2026) Inaugural Editor-in-Chief, IEEE Transactions on Materials for Electron Devices Chief Investigator & Industry Liaison Chair, ARC Centre of Excellence for Transformative Meta-Optical Systems Research Focus spans graphene electronics , additive manufacturing for microwave components , and energy-efficient nanodevice design . Her work bridges semiconductor industry experience (GlobalFoundries, IMEC) with academic breakthroughs in epitaxial graphene integration , nanoscale thermal emitters , and brain-machine interface sensors . Key Trends in her recent publications: 3D-printed metasurfaces for wireless communication, Fermi level tuning in graphene devices, and high-temperature operando characterization of graphene growth mechanisms. These align with her broader vision of multi-functionality on silicon platforms. Scientific Recognition : Australian Research Council Future Fellowship (2012-2016) Gold Graduate Student Award (2003, Materials Research Society) Global Innovation Award (2014) IEEE Fellowship (2024) Leadership & Education : Founded UTS's Bachelor of Engineering (Hons) Major in Electronics. Serves on UTS Academic Board (2021) and leads the Integrated Nano Systems Lab . Her teaching spans semiconductor physics, nanofabrication, and IoT component design, emphasizing cross-domain integration of CMOS, photonics, and energy storage systems.

Anand Raghunathanمشاهده پروفایل

استاد

• Brain-inspired Computing
• Machine Learning
• System-on-Chip Design
• +۷ مورد دیگر

Anand Raghunathan is a Silicon Valley Professor and Chair of the VLSI area at Purdue University's Elmore Family School of Electrical and Computer Engineering. He serves as Associate Director of the $36M SRC/DARPA Center for Brain-inspired Computing (C-BRIC) and Co-Director of the Purdue/TSMC Center for a Secure Microelectronics Ecosystem (CSME). His research focuses on Brain-inspired computing Energy-efficient machine learning System-on-chip design Post-CMOS devices Heterogeneous computing Educated with a B.Tech from IIT Madras, and MA/PhD in Electrical Engineering from Princeton University, he directs Purdue's Integrated Systems Laboratory (ISL) which explores domain-specific architectures and compute-in-memory technologies. His work spans security for embedded systems, battery-efficient computing, and computational imaging commercialized through High Performance Imaging, Inc. Research keywords include: Neural network acceleration Hardware-software co-design Security vulnerabilities Post-CMOS devices Transformer optimization Scientific awards include: IEEE Fellow MIT TR35 innovator 9 Best Paper Awards 2 NEC Technology Commercialization Awards Purdue Faculty Excellence Award Advising and grants: Co-founded High Performance Imaging, Inc. Founded Purdue/TSMC Center for Secured Microelectronics Ecosystem Hold 29 U.S. and 16 international patents Chair of 5 IEEE/ACM conferences Editorial roles in ACM/IEEE journals Labs and teams: Integrated Systems Laboratory (ISL) Collaborations with NEC Labs, Princeton University, and IIT Madras Lead $36M SRC/DARPA C-BRIC Center