جست‌وجوی استاد و پژوهشگر

Manuel Quevedoمشاهده پروفایل

استاد

• Materials Science
• Flexible Electronics
• Semiconductor Devices
• +۶ مورد دیگر

Manuel Quevedo holds the rank of Professor in the Department of Materials Science & Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He also serves as a Research Professor at UTD and holds adjunct roles at the University of Sonora (Mexico) and University of North Texas. His primary research focuses on advanced materials for flexible electronics, semiconductor devices, and thin film technologies, emphasizing applications in radiation detection, energy storage, and optoelectronics. Quevedo’s academic qualifications include a Ph.D. in Materials Science & Engineering (University of North Texas, 2002), M.S. in Materials Science (Saltillo Institute of Technology, 1998), and B.Sc. in Chemistry/Biology (University of Sonora, 1996). He has advised 7 PhD and 4 M.S. students, supervised 3 post-docs, and mentored visiting scholars and faculty. His research spans flexible electronics, silicon-based devices (e.g., high-k gate dielectrics), and thin film semiconductors. Key projects include low-temperature integration of hybrid CMOS devices on plastic substrates and development of neutron detectors using perovskite materials. He has attracted over $1.3M in funding as co-PI and $700K as PI, and holds 5 issued patents and 4 pending patents related to semiconductor materials and device fabrication. Quevedo has received notable awards, including the SEMATECH Corporate Excellence Award (2005) and Inventor Recognition Award (SRC, 2003). He is active in professional organizations (MRS, AVS) and has organized international conferences, including the 2010 MRS Flexible Electronics conference. His work emphasizes cross-border academic collaboration, particularly between the U.S. and Mexico, through exchange programs funded by CONACYT. His lab specializes in device fabrication, material characterization, and thin film deposition techniques (e.g., pulsed laser deposition, chemical bath deposition). Current focus areas include perovskite-based detectors, gallium oxide UV sensors, and sustainable energy materials. He contributes to the field through invited reviews, editorships (MRS Bulletin), and over 30 international conference presentations.

Gregory Timpمشاهده پروفایل

استاد

• Nanotechnology
• Nanopore Sensing
• Single-Molecule Detection
• +۱۳ مورد دیگر

Gregory Timp is the Keough-Hesburgh Professor of Electrical Engineering and Biological Sciences at the University of Notre Dame, with a cross-appointment in the Department of Electrical Engineering within the College of Engineering. He leads a multidisciplinary research group at the intersection of nanotechnology and biology, operating laboratories in both Stinson-Remick Hall and Galvin Life Sciences. Ph.D., Electrical Engineering, Massachusetts Institute of Technology, 1984 M.S., Electrical Engineering, Massachusetts Institute of Technology, 1980 B.S., Electrical Engineering, University of Illinois, 1978 His research focuses on developing nanoscale tools for biomedical applications, particularly using nanopore sensors for single-molecule detection of proteins and nucleic acids, and live cell lithography via optical tweezers to engineer 3D tissue models. He also investigates THz transistors and high-frequency CMOS devices. His lab leverages advanced nanofabrication, electron microscopy, and microfluidics to push the boundaries of bio-nano integration. The recent publications highlight a strong trend toward single-molecule biophysics , protein sequencing via nanopores , and synthetic tissue engineering . His work spans from fundamental physics of ion transport to translational applications in diagnostics and synthetic biology. Gregory Timp has not been explicitly awarded any scientific prizes in the provided text, but his extensive publication record in top journals like Nature , Science Advances , and ACS Nano reflects high scientific impact. He actively mentors students and postdoctoral researchers, with recent job postings indicating ongoing research in nanobiotechnology , confocal imaging , and transmission electron microscopy . His collaborations include work with Professor Tetsuya Tanaka on single-cell electroporation. His research is supported by access to state-of-the-art facilities including a 9,000 sq ft cleanroom, the Notre Dame Integrated Imaging Facility, and advanced microscopy suites. His lab, the Timp Nano-Bio Group, utilizes facilities such as the NDNF cleanroom, Stinson-Remick microscopy suite (including Jeol 2010 and FEI Titan TEMs), and specialized quiet rooms for low-noise electrical measurements. The integration of semiconductor processing with biological experimentation enables unique capabilities in creating solid-state nanopores , optical trapping systems , and microfluidic devices for real-time single-cell analysis.

• Photonics
• Quantum Computing
• Artificial Intelligence
• +۶ مورد دیگر

Jiaqi Gu is an Assistant Professor at the School of Electrical, Computer and Energy Engineering at Arizona State University. His work bridges photonics, quantum computing, and machine learning to develop next-generation hardware for efficient computing. PhD in Electrical and Computer Engineering, University of Texas at Austin (2023) His research focuses on emerging hardware design (photonics, post-CMOS electronics, quantum), hardware-algorithm co-design , AI/ML algorithms , and electronic-photonic design automation . He explores how photonic and quantum systems can be optimized for AI workloads, with recent work on differentiable photonic simulation, compact optical neurons, and quantum component placement tools. His publications include 20+ papers in 2025 on topics like photonic tensor cores, optical neural networks, and quantum-aware design. Key trends: integrating machine learning with photonic device simulation, optimizing photonic circuits for adversarial robustness, and advancing quantum computer compilation. Scientific awards include: Best Paper at ASP-DAC 2020 Best Poster at NSF Workshop on Machine Learning Hardware 2020 Margarida Jacome Dissertation Prize 2023 Outstanding Dissertation Award 2024 Dr. Gu advises students through EEE 490/590/790 courses and leads the ScopeX research group , which develops tools for photonic and quantum hardware design.

Gian Luca Barbruniمشاهده پروفایل

پژوهشگر

• Wireless Power Transfer
• Mixed-signal CMOS Design
• Low-power ICs
• +۵ مورد دیگر

Gian Luca Barbruni is a Postdoctoral Researcher at the Bio/CMOS Interfaces Laboratory at École polytechnique fédérale de Lausanne (EPFL), Switzerland, where he focuses on designing novel circuital architectures for in-memory sensing and computing, and on drinkable µm-sized bioelectronics for enhanced brain imaging and precise diagnostics. He also served as a Doctoral Assistant at the Integrated Systems Laboratory (LSI1) at EPFL. Dr. Barbruni earned his Ph.D. in Microsystems and Microelectronics from EPFL in 2023, focusing on the design and development of innovative cortical visual prosthesis to revert blindness. Prior to that, he received his M.Sc. in Biomedical Instrumentation (2019) and B.Sc. in Biomedical Engineering (2017) from Politecnico di Torino, Italy. His research primarily centers on the intersection of low-power mixed-signal IC design, wireless power transfer, and microfabrication techniques for biomedical applications. His work spans brain-computer interfaces, vision restoration technologies, cancer diagnostics, and electrochemical sensing systems. Dr. Barbruni's approach integrates circuit design with electrode-tissue interface engineering to create miniaturized, wireless neural interfaces that overcome limitations of traditional neurostimulation systems. His research on frequency-switching inductive links has demonstrated significant improvements in efficiency and power delivery for large-scale neural interfaces. His publication record shows a clear progression toward increasingly sophisticated and miniaturized neural interface systems, with recent work focusing on in-memory sensing for cancer diagnostics and advanced microfabrication techniques for electrode integration. The consistent theme across his publications is the development of wireless, miniaturized systems that can operate within safety constraints while delivering sufficient power for neural stimulation and sensing applications. Dr. Barbruni has received several notable recognitions for his work: Best Student Paper Award in Electronics at IEEE MOCAST, 2022 in Bremen, Germany As a Principal Investigator, he has secured multiple competitive grants including MINT-CMOS (Enable 2022) and WIMOS-RES (Enable 2022). He serves as a reviewer for prestigious journals including IEEE Transactions of Biomedical Circuits and Systems and IEEE Sensors Journal, and as a TPC member for major conferences such as IEEE BioCAS, IEEE Sensors, IEEE MeMeA, and IEEE ICECS. Dr. Barbruni is actively involved with the Bio/CMOS Interfaces Laboratory in Neuchâtel, part of EPFL's School of Engineering, where he leads research on novel circuital architectures for in-memory sensing and computing. His work on 'Neural Dot' represents a significant advancement in fully integrated monolithic chips for neural interfaces, featuring wafer-level CMOS-compatible post-processing techniques for electrode integration that address traditional challenges in miniaturized neural implant design.

• Semiconductor Device Simulation
• Nanoelectronics
• Quantum Transport in Nanostructures
• +۳ مورد دیگر

Natalia Seoane Iglesias is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering. She holds a PhD from the same institution (2007), focusing on optimizing parallel 3D simulators for studying HEMT device fluctuations under the guidance of Dr. Antonio García Loureiro. Her research expertise spans semiconductor device simulation, nanoelectronics, and quantum transport phenomena in nanostructures. She has pioneered work on advanced transistor architectures (e.g., nanosheet/nanowire FETs), materials like GaN and SiC for space applications, and machine learning-driven optimization tools for semiconductor technologies. Her work bridges computational modeling (Monte Carlo, NEGF methods) with experimental nanofabrication challenges. Recent contributions include developing MLFoMpy for TCAD data analysis, high-efficiency laser power converters using SiC, and benchmarking future transistor nodes below 2nm. Her research group (ARQCOMP) focuses on variability reduction in nanoscale devices and sustainable semiconductor manufacturing. Her publications emphasize statistical variability studies in FinFET/NFET architectures, quantum corrections in 3D simulations, and the application of AI to reduce carbon footprint in nanodevice design. She has co-authored over 100 peer-reviewed articles, with a focus on device physics, materials innovation, and computational tools for nanoelectronics.

Guido Giulianiمشاهده پروفایل

دانشیار

• Semiconductor Lasers
• Silicon Photonics
• Optical Sensors
• +۳ مورد دیگر

Guido Giuliani is an Associate Professor of Optoelectronics at the University of Pavia's Department of Industrial and Information Engineering. His research spans semiconductor lasers, silicon photonics, optical sensors, and non-contact laser measurement techniques. Giuliani co-founded Julight Srl, a photonics technology start-up developing sensor solutions. Research focuses on: Semiconductor laser dynamics and applications Silicon photonic devices and circuits Laser interferometry and vibrometry systems THz generation and detection techniques Optical methods for biomedical diagnostics His technical contributions include all-optical switching devices using semiconductor ring lasers, silicon micro-resonator filters, terahertz spectroscopy systems, and non-contact physiological monitoring techniques. Giuliani's work has been implemented in EU projects including FABULOUS (silicon photonics for optical access networks). He develops practical photonic solutions bridging fundamental research and industrial applications.

Marco Palaمشاهده پروفایل

دانشیار

• Quantum Transport
• Nanoelectronics
• CMOS Transistors
• +۲ مورد دیگر

Marco Pala is an Associate Professor at the University of Udine in the Department of Engineering and Architecture. He holds a PhD in Electronical Engineering from the University of Pisa and has held research positions at CEA-LETI and CNRS. His research focuses on quantum transport, nanoelectronics, and computational modeling of nanoscale systems. Research interests include spin-dependent transport, CMOS transistors, 2D materials, and ab-initio simulations. He leads projects on electronic properties of nanostructures and collaborates on European and national grants. Recent publications emphasize quantum confinement, 2D heterostructures, and Monte Carlo simulations. Trends show strong focus on material interfaces and device physics. Awards include Senior Member of IEEE (2022). He has supervised 15 PhD students and 6 post-docs, and led the computational electronics group at Centre for Nanoscience and Nanotechnology.

Fuze Jiangمشاهده پروفایل

استاد

• Physical Electrochemistry
• Molecular Biology
• Molecular/Cellular Sensing
• +۴ مورد دیگر

Dr. Fuze Jiang is a Professor of Electronics at ETH Zürich, leading research in advanced CMOS-based bioelectronics and molecular sensing technologies. His work focuses on integrating physical electrochemistry, molecular biology, and microfabrication to develop innovative biosensors and environmental monitoring systems. Key areas include CMOS IC bioelectronics, molecular/cellular sensing, and post-CMOS processing techniques. Research interests span MEMS-free gas sensor arrays, ferrofluidic biomolecular platforms, and antifouling sensor arrays for real-time biophysical profiling. His recent work emphasizes subcellular-resolution ion-selective sensors and rapid genetic diagnostics using electrochemical platforms. Collaborations involve environmental monitoring of airborne pathogens, antibiotic resistance genes, and particulate matter post-disasters. Publications highlight breakthroughs in multi-functional biosensors, CMOS-compatible microcages, and aerosol capture systems. While no scientific awards are listed, his contributions to bioelectronics and environmental sensing are widely recognized in peer-reviewed journals. Experimental work is conducted at ETH Zürich's Integrated Systems Institute (IIS), with a focus on translating lab innovations into practical devices for healthcare and environmental applications.

Cora Salmمشاهده پروفایل

مدرس

• Semiconductor Devices
• Microelectronics
• Solid-State Physics
• +۳ مورد دیگر

Cora Salm is a Lecturer in the Department of Integrated Devices and Systems at the University of Twente, affiliated with the MESA+ Institute for Nanotechnology. Her research focuses on semiconductor device reliability, hot-carrier effects, and microelectromechanical systems (MEMS). She has contributed to studies on device degradation mechanisms, environmental impact on materials, and advanced fabrication techniques for high-performance electronics. Key research areas include hot-carrier degradation in MOSFETs, environmental recovery phenomena, and reliability of RFID tags under thermal stress. Her work spans semiconductor materials, plasma processing, and the integration of MEMS with CMOS technologies. Notable collaborations involve investigations into LHC dipole circuit transients and radiation detector development using wafer post-processing. Recent publications highlight advancements in understanding charge trapping dynamics, humidity effects on ferroelectric capacitors, and RF MEMS switch characterization. She has presented at multiple international conferences and contributed to proceedings on microelectronics education and semiconductor reliability.

• Nanophotonics
• Metamaterials
• Ultrafast Optics
• +۴ مورد دیگر

Rakesh Dhama is a Senior Research Fellow in Physics with active research output from 2022-2025. His work spans nanophotonics, metamaterials, and ultrafast optical phenomena, contributing to UN Sustainable Development Goals through advanced materials research. His research fingerprint reveals expertise in: Single-Walled Carbon Nanotube Engineering (100%) Ultrafast phenomena (91%) All-optical Switching (87%) Epsilon-near-zero Materials (79%) Hyperbolic Metamaterials (50%) CMOS Technology integration (50%) Dhama's publications demonstrate strong focus on nanoscale light-matter interactions. His recent work combines carbon nanotubes with perovskites for optoelectronics, develops CMOS-compatible metamaterials for optical switching, and investigates exciton dynamics in functionalized nanomaterials. Research trends show increasing emphasis on sustainable materials systems and ultrafast device applications. Collaborations span multiple international institutions with significant co-authorship networks centered around Prof. Caglayan and Dr. Dana. His work shows substantial real-world impact through news coverage (1 outlet), social media dissemination (14 X posts, 1 Facebook page), and academic readership (51 Mendeley readers).

Anthony Kolarمشاهده پروفایل

پژوهشگر

• 3D Vision Systems
• CMOS Image Sensors
• Mixed-Signal Circuits
• +۳ مورد دیگر

Anthony Kolar is a researcher in the Electrical and Electronic Engineering department at Université de Paris. His work focuses on advanced sensor systems, 3D vision, and biomedical electronics. He specializes in designing low-power circuits, mixed-signal architectures, and embedded systems for applications in medical imaging and diagnostics. Key research areas include: 3D vision systems (endoscopic capsules, stereo vision) _cmos-based image sensors and analog circuits Embedded real-time signal processing architectures Biomedical devices (pacemaker circuits, diagnostic systems) Recent projects emphasize: Integrated smart sensors with multi-spectral capabilities Efficient neural network implementations in embedded systems Low-power designs for medical applications His publications (2022–2025) highlight advancements in: 3D reconstruction algorithms for endoscopic imaging High-precision sigma-delta converters _cmos pixel circuit optimization No awards or grants are explicitly mentioned in the provided texts.

David V. Plantمشاهده پروفایل

استاد

• Optical Communications
• Silicon Photonics
• Photonic Integrated Circuits
• +۷ مورد دیگر

David V. Plant is a Professor in the Department of Electrical & Computer Engineering at McGill University , where he leads the Plant Group . His research spans optical communications , silicon photonics , and photonic integrated circuits , with a focus on high-speed data transmission systems for data centers and beyond. Research Interests: Optical Communications: Coherent and direct detection systems, high-capacity WDM links, quantum encryption. Silicon Photonics: SiP modulators, receivers, switches, and PICs for next-gen interconnects. Data Center Interconnects: Tbps-scale links using TFLN MZMs, QD-MLL combs, and CMOS drivers. Microwave Photonics: Reconfigurable filters, optoelectronic oscillators, and signal processors. Biomedical Optics: Seismocardiography signal generation and analysis using ML techniques. Scientific Awards: Lumentum Diversity, Inclusion, & Belonging Scholarship (industrial award) The Marconi Society’s 2023 Paul Baran Young Scholar (international award) Advanced Photonic Congress SPPCom Best Student Paper Presentation (international award) 2023 IEEE Photonics Society Graduate Student Fellowship (international award) 2023 SPIE Scholarship in Optics and Photonics (international award) Supervision & Grants: Prof. Plant has supervised numerous Ph.D., M.Eng., and post-doctoral researchers, including recipients of prestigious awards. His group collaborates with industry leaders like Ericsson, Ciena, and Lumentum, securing patents and advancing commercial applications in optical networking. Labs & Teams: The Plant Group operates within McGill’s ECE department, fostering a multidisciplinary environment for experimental and theoretical research in photonics. The team includes research professionals, visiting scholars, and administrative support from STARaCom.

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

Wayne Burlesonمشاهده پروفایل

استاد

• Embedded Security
• Hardware Security
• VLSI Circuit Design
• +۷ مورد دیگر

Wayne Burleson is a Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, affiliated with the Manning College of Information and Computer Sciences. His research focuses on embedded security, hardware security, VLSI circuit design, and VLSI architectures for digital signal processing (DSP), cryptography, and graphics. He has pioneered work on physically unclonable functions (PUFs), remote power attacks on FPGAs, and thermal management strategies in chip multiprocessors. He holds a B.S. and M.S. from MIT (1983) and a Ph.D. from the University of Colorado (1989). His honors include the 2011 IEEE Fellow distinction and the 1999 Ben Dasher Award for Best Paper. He is actively involved in IEEE, ACM, ASEE, and Sigma Xi societies. Burleson’s recent work addresses grand challenges in embedded security, including IoT device vulnerabilities, medical device cybersecurity, and mitigation of hardware Trojans. His lab explores novel approaches in reconfigurable hardware security, energy-efficient asynchronous interconnects, and adaptive systems-on-chip.

• Neurosciences
• Clinical Sciences
• Analytical Chemistry
• +۳ مورد دیگر

Prof. Martyn Boutelle is a Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering, serving concurrently as Associate Provost (Estates Planning). His research focuses on biomedical sensor development, particularly electrochemical biosensors and microdialysis systems for real-time clinical monitoring in neurocritical care, organ transplantation, and musculoskeletal disorders. Key collaborations include work with neurosurgeons at King's College Hospital and surgeons at Imperial College on cerebral metabolism monitoring and post-transplant organ assessment. He leads COSBID (Cortical Spreading Depression in Brain Injury and Disease), investigating spontaneous brain depolarizations in traumatic injury. Notable contributions include wearable biosensors, microfluidic platforms, and AI-driven diagnostic tools for ALS and cardiac arrest. Education: PhD in Electrochemistry from Imperial College London, postdoctoral work at Oxford University Affiliations: Centre for Neurotechnology, Cancer Technology Network, Ovarian Cancer Tumour Heterogeneity and Bioengineering Research Themes: Neurochemical monitoring, organ-on-a-chip systems, multimodal biosensing integration His articles highlight advancements in sensor technology for clinical applications, including 10-day continuous brain monitoring systems and non-invasive fasciculation detection for ALS diagnosis. Current projects explore ex vivo organ perfusion monitoring and portable diagnostic platforms.