Hamed Rahmani is an Assistant Professor of Electrical and Computer Engineering at New York University (NYU Tandon School of Engineering). He is affiliated with NYU WIRELESS and the Center for Advanced Technology in Telecommunications (CATT), leading the Research in Advanced Integrated Systems and Electronics (RAISE) Lab. His research focuses on integrated circuits and systems for biomedical applications, IoT, and 5G/6G communication. Education: Ph.D., Electrical and Computer Engineering, UCLA (2020) M.Sc., Electrical and Computer Engineering, Rice University (2017) B.Sc., Electrical Engineering, Sharif University of Technology (2014) Research Interests: RF/mm-Wave circuits, low-power biomedical sensors, energy-efficient IoT systems, and wireless power transfer. His work emphasizes miniaturized implants, smart healthcare, and sustainable electronics. Awards: Recipient of the NSF CAREER Award (2025), IEEE MTT-S Graduate Fellowship (2019), and the 2023 Best Paper Award in the Journal of Microwave. He serves on technical committees for major conferences like CICC and IMS. Labs & Groups: Directs the RAISE Lab, collaborating with NYU WIRELESS on 6G research and CATT for technology transfer.
Gert Cauwenberghs is a Professor of Bioengineering at the University of California San Diego (UCSD), affiliated with the Jacobs School of Engineering. He co-directs the Institute for Neural Computation and holds a visiting professorship at MIT. His research focuses on neuromorphic engineering, energy-efficient neural interfaces, and wearable biosensors. Key contributions include silicon-based adaptive neural circuits, implantable neural recording systems, and in-ear biosensing devices. Education: M.Eng. in Applied Physics (University of Brussels, 1988), M.S. and Ph.D. in Electrical Engineering (Caltech, 1989–1994). Prior roles include Professorships at Johns Hopkins University and Visiting Professor at MIT. Research Interests: Biomedical integrated circuits, neuromorphic computing, brain-machine interfaces, and energy-efficient neural systems. His work bridges neuroengineering and clinical applications, emphasizing adaptive intelligence and low-power designs. Recent Work: Development of femtojoule-efficient neural chips, high-density neural interfaces, and closed-loop wearable systems. Projects include neurobench benchmarking frameworks and RRAM-based neuromorphic hardware. Awards: NSF Career Award (1997), ONR Young Investigator (1999), PECASE (2000), IEEE Distinguished Lecturer (2003–2004). Grants & Labs: Active in NIH and DoD-funded projects, co-directs the UCSD Institute for Neural Computation. Collaborates with industry on neural interface technologies. Labs/Teams: Cauwenberghs Lab at UCSD focuses on integrated neuroengineering systems, including neural recording systems and neuromorphic computing architectures.
Muhannad S. Bakir is the Dan Fielder Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology and serves as the Director of the 3D Systems Packaging Research Center. His research focuses on heterogeneous integration of microsystems, including 2.5D and 3D ICs and packaging technologies, with significant contributions to advanced cooling systems, electrical and photonic interconnects, and biosensor integration with CMOS. Dr. Bakir's research interests span heterogeneous microsystem design and integration, advanced cooling and power delivery for emerging architectures, electrical and photonic interconnect technologies, biosensor technologies, and nanofabrication. His work addresses critical challenges in next-generation electronics, enabling polylithic integration that concatenates heterogeneous ICs of various functionalities while mimicking monolithic-like densities. His research particularly focuses on co-design of thermal technologies, power delivery networks, and signaling networks for silicon nanoelectronic systems. His recent publications demonstrate strong trends in fused-silica stitch-chip technology for heterogeneous integration, with particular emphasis on RF and mm-wave applications, power delivery for AI accelerators, and thermal management solutions. His work bridges electrical engineering, materials science, and thermal management to solve critical bottlenecks in computing performance and efficiency. 2013 Intel Early Career Faculty Honor Award 2012 DARPA Young Faculty Award 2011 IEEE CPMT Society Outstanding Young Engineer Award 2012 National Academy of Engineering Frontiers of Engineering Symposium Invited Participant 2015 IEEE CPMT Society Distinguished Lecturer 2014 Best Paper of the IEEE Transactions on Components Packaging and Manufacturing Technology More than 25 conference and student paper awards Twelve issued US Patents Dr. Bakir leads the Integrated 3D Systems Lab (I3DS) at Georgia Tech, which is actively researching advanced packaging, interconnects, electrical and thermal design, and system integration. His team has received significant recognition for their work, including multiple best paper awards from major conferences like ECTC, IITC, and CICC. The lab is currently seeking postdoctoral researchers and research faculty to advance next-generation electronics through collaborative research. His lab focuses on enabling the next phase of Moore's Law through polylithic integration, which concatenates heterogeneous ICs of various functionalities (digital, analog, photonic, and mm-wave) using advanced off-chip '2.5D' and '3D' heterogeneous interconnects and packaging. This work impacts applications in high-performance computing, machine learning, edge intelligence, autonomous vehicles, augmented/virtual reality, and healthcare.
Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award
Jonathan Klamkin is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB). He also serves as the Director of the Nanofabrication Facility, overseeing advanced photonics fabrication resources. His research focuses on integrated photonics, silicon photonics, optical communications, and compound semiconductor integration. Klamkin holds a PhD in Materials from UCSB, an MS in Electrical and Computer Engineering from UCSB, and a BS in Electrical and Computer Engineering from Cornell University. His research interests span cutting-edge areas such as electronic-photonic integration, nanophotonics, and microwave photonics. He has pioneered techniques for heterogeneous integration of compound semiconductors on silicon, enabling scalable photonic systems for applications in LiDAR, high-speed communications, and quantum technologies. Notable awards include the DARPA Young Investigator Award, NASA Early Career Faculty Award, and the PIERS Young Scientist Award. His recent work emphasizes beam steering systems, high-power quantum dot lasers, and photonic integrated circuits for remote sensing and lidar. Klamkin’s lab develops both fundamental materials science and applied photonic devices, with a focus on bridging the gap between semiconductor growth and integrated system design. Key contributions include innovations in grating coupler design, antiphase boundary-free epitaxy for GaAs on silicon, and analog coherent detection for energy-efficient data centers. His research bridges photonics, electronics, and materials science to address challenges in high-performance integrated systems.
Jan Madsen is a Professor at DTU Compute, Technical University of Denmark, and Head of the Embedded Systems Engineering section. His research focuses on system-level modeling and design of embedded computing systems, particularly cyber-physical systems, microfluidic biochips, and synthetic biology applications. Develops design automation tools and methodologies for embedded systems Supervises numerous PhD students and leads major research projects Research Interests Key areas include: Embedded systems-on-a-chip Cyber-Physical Systems (Internet-of-Things) Microfluidic Lab-on-Chip devices Synthetic biology with molecular computing Design, modeling, and optimization of complex systems Scientific Awards DATE Fellow (2019) IEEE CEDA Outstanding Recognition (2019) DTU Scientific Advise Award (2013) Best Paper Awards at MECO (2013) and CASES (2009) Jorck’s Foundation Research Award (1995) Publications His 14+ journal papers and 115+ conference papers demonstrate expertise in: SystemC-based modeling frameworks Energy-aware sensor networks Self-healing eDNA architectures Microfluidic biochip synthesis RTOS modeling and MPSoC exploration
Dmitri Strukov is a Professor at the University of California, Santa Barbara in the Department of Electrical and Computer Engineering. His work spans material science, electrical engineering, and computer science, focusing on novel computing paradigms using emerging memory devices. Education: PhD in Electrical and Computer Engineering from SUNY Stony Brook, MS in Applied Physics and Mathematics from Moscow Institute of Physics and Technology. Research Interests include neuromorphic computing , non-volatile memory applications , and mixed-signal circuits for machine learning and hardware security. His group develops memristive crossbar arrays and 3D NAND flash for energy-efficient systems. Scientific Leadership features Fellow of IEEE and Distinguished Lecturer roles. His work has been recognized with best paper awards at ASPLOS’19 and Computing Frontiers’13. Students: Mentored PhD graduates in neurocomputing, security, and memristor design including Z. Fahimi, S. Larimian, M.R. Mahmoodi, and X. Guo. Grants: Funded by AFOSR, ARO, DARPA, NSF, and industry leaders like Google and Samsung. Labs: Utilizes UCSB’s nanofabrication center and advanced tools for memristor characterization.
Karen C. Cheung is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, with cross-appointments in the Faculty of Medicine and the School of Biomedical Engineering where she serves as Director of the Graduate Program. She holds her office in KAIS 3064 and can be reached at (604) 827-4114. Dr. Cheung received her BSc and PhD degrees in Bioengineering from the University of California, Berkeley in 1998 and 2002, respectively. From 2002-2005, she was a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne in Switzerland. She joined UBC in 2006 and has established herself as a leading researcher in biomedical microsystems. Her research spans multiple areas of biomedical engineering with particular focus on lab-on-a-chip systems for cell culture and characterization , inkjet printing for tissue engineering , and implantable neural interfaces . Her work integrates microfluidics, biosensors, and tissue engineering to create platforms that better mimic in vivo conditions for drug screening and disease modeling. Current projects include developing organ-on-a-chip models of the human airway for studying aerosol exposure effects, creating microscale tumor models for cancer research, and advancing silicon photonic biosensors for medical diagnostics. Dr. Cheung leads the Bio-Medical Micro Devices Laboratory at UBC, which houses multiple research teams working on cutting-edge biomedical technologies. Her lab has developed microfluidic platforms capable of precisely controlling oxygen levels around tumor spheroids to study cancer treatment responses under realistic physiological conditions. The lab also works on novel fabrication techniques for microelectrode arrays and tissue clearing protocols for 3D imaging of microtissues. As an educator, Dr. Cheung teaches several specialized courses including ELEC 361 (Molecules to Mechanisms), ELEC 464 (Nanotechnology and Nature), EECE 301 (Topics in Nanotechnology and Microsystems), ELEC 473 (Biological Micro-Electro-Mechanical Systems), and ELEC 521 (Biomedical Microdevices). She has supervised numerous graduate students through their MASc, PhD, and postdoctoral work, with many alumni now holding academic positions or working in the biomedical industry. Her research is supported through multiple funding sources and collaborations with industry partners. Dr. Cheung is affiliated with several research centers including the Airway Centre, Bionics Network, Centre for Blood Research, and the Institute for Computing, Information and Cognitive Systems (ICICS) at UBC.
Vadim Cherezov, the Ester Dornsife Chair in Biological Sciences and Professor at the University of Southern California (USC), leads groundbreaking research in membrane protein structure and function. Affiliated with the Bridge Institute, Department of Chemistry, and Michelson Center for Convergent Bioscience, his work focuses on GPCRs, ion channels, and transporters—critical targets for drug discovery. His team leverages advanced techniques like Lipidic Cubic Phase (LCP) and Serial Femtosecond Crystallography (SFX) at XFEL facilities to solve high-resolution structures under physiological conditions. Institutional Affiliations: Bridge Institute, USC Michelson Center, Department of Chemistry, Department of Pharmacology and Pharmaceutical Sciences. Key Collaborations: Katritch Lab, Kuhn Lab, NIH, European XFEL. His research explores the role of lipids in modulating GPCR function, addressing diseases like Alzheimer’s, diabetes, and cancer. By solving the structure of the A 2A adenosine receptor via sulfur SAD phasing at XFEL, Cherezov’s lab demonstrated de novo phasing without heavy atoms. This breakthrough enables structural studies of previously intractable membrane proteins. Scientific Awards & Grants: NIH R01 GM108635, U54 GM094618, U54 GM094599, R01 GM095583 Science Signaling Breakthroughs of the Year (2014) Cherezov mentors a dynamic team, including postdocs (e.g., Dong-Gyun Kim), graduate students (e.g., Behnaz Davoudinasab), and alumni (e.g., Benjamin Stauch at Eli Lilly, Nairie Michaelian at Genentech). His lab’s publications span Nature , Science , and Cell , with recent work on Science Advances (2025) addressing ABEL-FRET for GPCR dynamics.
Ranjan Singh is a Professor at the Division of Physics, Nanyang Technological University (NTU) Singapore, specializing in terahertz photonics and metamaterials. He holds an elected fellowship from OPTICA (OSA) for pioneering work in ultrafast terahertz photonics, active metamaterials, and sensors. His research focuses on hybrid THz-electronic-photonic technologies for 6G communications, topological photonics, spintronics, quantum materials, and high-Tc superconductors. Education: B.Eng. in Telecommunications (Bangalore University, 2001); M.Tech in Photonics (Cochin University, 2004); Ph.D. in Photonics (Oklahoma State University, 2009). Postdoctoral research at Los Alamos National Laboratory (2009–2013). Research emphasizes on-chip THz topological photonics for next-gen communication systems, with notable achievements including a $7M grant for TERACOMM (on-chip THz topological photonics). His work integrates AI-driven beamforming, reconfigurable metasurfaces, and phase-change materials for adaptive THz systems. Key awards include the 2020 Web of Science 'Top 1% Highly Cited Researcher' distinction. His lab, TeraX Labs (founded 2013), develops cutting-edge technologies like THz brain-computer interfaces, quantum emitters, and spintronic sensors. Over $12M in competitive grants has fueled innovations in THz integrated circuits, tunable optical coatings, and ultra-sensitive biosensors. Advancing 6G/XG wireless, Singh's team designs topological beamformers, intelligent reflecting surfaces (IRS), and terahertz metamaterials for multi-link systems. His work bridges theoretical physics and applied engineering, with a focus on energy-efficient, reconfigurable photonic systems.
Zhonghai Lu is a Professor of Electronic Systems Design (specializing in Dependable and Autonomous Systems) at KTH Royal Institute of Technology, part of the Department of Electrical Engineering in the School of Electrical Engineering and Computer Science (EECS). He serves as Program Director for KTH's Embedded Systems master's program and Director of Studies at the Division of Electronics and Embedded Systems. His research focuses on Network-on-Chip (NoC), computer architecture, embedded systems, and Prognostics and Health Management (PHM) of power electronics. He leads a research group exploring in-network processing and embedded intelligence, transforming passive networks into active computational frameworks. Lu holds a BSc from Beijing Normal University (1989), MSc and PhD from KTH (2002, 2007), and an MBA in Innovation and Growth from the University of Turku (2012). He has authored over 240 scientific papers, including journal articles and peer-reviewed conferences, with notable recognitions such as Best Paper Awards at NOCS’2015 and EU HiPEAC, and a Featured Paper in IEEE Transactions on Computers (2020). He serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and has chaired major conferences like HiPEAC’2017 and NOCS’2018. His research group’s recent work includes integrating AI into hardware acceleration, fault-tolerant neural networks, and RUL estimation for power electronics using recurrent neural networks. Lu has secured grants from the Swedish Research Council and Intel Corporation and developed courses like IL2230 (Hardware Architectures for Deep Learning) and IL2233 (Embedded Intelligence), pioneering embedded AI education at KTH. Education: BSc (Beijing Normal University), MSc/PhD (KTH), MBA (University of Turku) Awards: Best Paper Awards (NOCS, EU HiPEAC), Swedish Research Council Grants, Intel Research Gifts Labs/Teams: Research Group on In-Network Processing and Embedded Intelligence
Carlos Errando Herranz serves as an Assistant Professor in the Quantum and Computer Engineering Division at Delft University of Technology's Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) and as a Principal Investigator at QuTech. His research focuses on developing scalable quantum photonic integrated circuits using semiconductor fabrication processes compatible with existing infrastructure for quantum internet applications. He received Bachelor's and Master's degrees from Universitat Politècnica de València (2013) and a PhD in Micro and Nanosystems from KTH Royal Institute of Technology (2018), followed by postdoctoral positions at KTH and MIT as a Marie Curie fellow. His lab investigates quantum photonics, integrated photonics, and color centers with emphasis on diamond tin-vacancy systems and silicon-based quantum emitters. Recent publications demonstrate strong expertise in tuning quantum emitters via strain engineering, heterogeneous integration of spin-photon interfaces, and MEMS-enabled reconfigurable photonics. Key advancements include cavity-enhanced quantum memories, superconducting detector integration, and spectral control of solid-state emitters for quantum networks. Dr. Herranz advises seven graduate students including PhD candidates Vicky Dominguez Tubio, Arjan Mejas, Matteo Pirro, Christian Primavera, Jan Riegelmeyer, and Elena Volkova, along with Master student Bram Zijlstra. His team comprises postdocs Lin Jin and Pat Laferriere, and interns Elsa Herranz Valiente and Ernest Staffetti Cruañas. The Errando Herranz Lab operates within QuTech's Quantum Internet Division at Delft University, maintaining specialized facilities for nanofabrication and optical characterization of quantum photonic devices. Current research directions include developing CMOS-compatible quantum memories operating at telecom wavelengths and scalable architectures for quantum repeaters.
Justin A. Weibel is a Professor of Mechanical Engineering at Purdue University, affiliated with the School of Mechanical Engineering. He directs the Cooling Technologies Research Center (CTRC), a National Science Foundation Industry/University Cooperative Research Center. His research focuses on advanced electronics cooling, phase-change transport, additive manufacturing for thermal components, and machine-learning-driven design optimization. He has led projects funded by DARPA, ONR, ARPA-E, and industry partners, advancing cooling solutions for high-power electronics and energy systems. Research interests span thermal management, heat transfer, micro/nano-scale engineering, and sustainable energy. Key contributions include topology optimization for heat sinks, two-phase flow modeling, and embedded cooling systems for electric motors. His work integrates computational methods with experimental validation. Grants & Programs: DARPA TGP/ICECool, ONR NEPTUNE, ARPA-E ASCEND/COOLERCHIPS, SRC CHIRP Labs: Cooling Technologies Research Center (CTRC) Future Work: Expanding additive manufacturing applications, improving thermal efficiency in electrified transport, and advancing AI-driven thermal system design. Awards: Fellow of ASME (2023) Outstanding Faculty Mentor (2022) Multiple best paper awards from IEEE ITherm, ASME, and SEMI-THERM conferences
Professor Stefan Maier holds the position of Head of School in Physics and Astronomy at Monash University. Previously, he served as the Lee Lucas Chair in Experimental Physics at Imperial College London (2007–2018) and built a new chair at Ludwig-Maximilians-Universität München (2019–2022). His research focuses on nanophotonics, plasmonics, and metasurface engineering, with emphasis on optical trapping, nonlinear optics, and novel photonic devices. Education: Bachelor’s degree in Physics, Technical University of Munich M.Sc. and Ph.D. in Applied Physics, California Institute of Technology (Caltech) Research Interests: Development of metamaterials and metasurfaces for light manipulation Applications of nanophotonics in sensing, imaging, and quantum technologies Optical trapping and plasmonic catalysis Nonlinear optical phenomena in nanostructured materials Articles Trends: Recent work emphasizes bound states in the continuum (BICs), 3D nanoprinted optical platforms, and active metasurfaces with tunable properties. Key themes include hybrid nanophotonics, ultra-high-Q resonators, and plasmonic nanomaterials for energy applications. Awards: ISI Highly Cited Researcher (2017–present) Grants/Projects: Chief Investigator in the All-on-chip twisted light modulator project (2022–2025) Leadership in Monash’s nanophotonics research team Labs/Teams: Directs a multidisciplinary lab at Monash focused on integrating 3D nanofabrication with optical physics, including collaborations in metafiber development and plasmonic biosensing.
Richard D. Noble is a Research Professor in the Department of Chemistry at the University of Colorado Boulder. His research focuses on advanced membrane technologies for gas and liquid separations, with particular expertise in ionic liquids, liquid crystals, and the application of external fields for selective separations. He maintains an active laboratory in Cristol Chemistry (room 357) and collaborates extensively with Professor Doug Gin on many research projects. Noble received his BE and ME from Stevens Institute of Technology in 1968 and 1969 respectively, followed by a Ph.D. from the University of California, Davis in 1976. His educational background in engineering has provided a strong foundation for his research in chemical engineering and materials science. Professor Noble's research program centers on three interconnected areas. His primary focus is on ionic liquids for gas separations , where he evaluates various ionic liquids and complexation chemistry to tailor material properties to specific feed mixtures. He explores composite polymer/IL structures and incorporation of complexation chemistry and zeolites, and has developed specialized apparatus to measure gas solubility and diffusivity in ionic liquids. This work is conducted in collaboration with Professor Doug Gin. His second research thrust involves the use of external fields for selective separations . Noble studies how electric or light energy can enhance separation processes by changing binding affinity of complexing agents. His notable achievement is an electrochemical pump with no moving parts that produces pressures exceeding 20 atm, with applications in lab-on-a-chip and micro-scale devices. He also develops charged polymer structures for membrane separators with wide temperature and chemical stability. His third major area focuses on liquid crystals organized to form nanostructured polymer network films. These cross-linked stable films are evaluated for nanofiltration applications, particularly in water filtration including treatment of water from fracking operations. This work often intersects with his ionic liquids research, creating composite structures with potential applications in electrochemical pumps. Noble's publication record from 2017-2019 shows consistent focus on membrane technologies for separation processes, with increasing sophistication in membrane design incorporating ionic liquids, liquid crystals, and novel materials like pillar[5]arenes. His work demonstrates a clear trend toward addressing practical industrial challenges, particularly in natural gas purification (CO 2 /CH 4 separation) and environmental applications (treatment of fracking wastewater). His collaborations have produced high-impact work published in top journals including Nature Materials , Journal of Membrane Science , and Angewandte Chemie . Professor Noble has received numerous prestigious awards recognizing his contributions: AIChE Institute Service to Society Award (2005) Alfred T. and Betty E. Look Professor of Chemical Engineering (2005-present) Multiple Outstanding Graduate Teaching Awards from the Chemical Engineering Department (2006-2008) ACS Industrial & Engineering Chemistry Division Fellow (2007) CU Boulder Inventor of the Year (2008) Barrer Lecture at Penn State University (2008) Fellow at the Renewable and Sustainable Energy Institute (2009-2012) Robert L. Stearns Award from CU Alumni Association (2010) Chair d'Excellence Pierre de Fermat at Paul Sabatier University, Toulouse (2010) AIChE Institute Excellence in Industrial Gas Technology Award (2010) And numerous others through 2015 While specific grant details aren't provided, Noble's extensive publication record with multiple co-authors suggests active research mentoring and well-funded projects. His work on sophisticated apparatus and high-quality publications indicates substantial research support. His collaborations, especially with Doug Gin, suggest a strong research group environment focused on membrane science and separation technologies. Professor Noble's research operates at the intersection of chemistry, chemical engineering, and materials science. His laboratory includes facilities for membrane fabrication, gas separation testing, and characterization of novel materials. The development of specialized apparatus for measuring gas properties in ionic liquids suggests dedicated equipment for fundamental property measurements. His work on electrochemical pumps indicates capabilities in microfluidics and device fabrication, with the collaborative nature of his research suggesting a team approach to tackling complex separation challenges.
