Jungsang Kim is the Schiciano Family Distinguished Professor of Electrical and Computer Engineering and Professor of Physics at Duke University. He serves as Associate Director of the Duke Quantum Center and leads the Multifunctional Integrated Systems Technology group. Quantum Computing with Trapped Ions Quantum Information Science Photonic Device Development Quantum Communication Networks His research focuses on scalable quantum information processors using trapped atomic ions and advanced photonic technologies. Key innovations include microfabricated ion traps, optical MEMS, and cryogenic systems for quantum integration. Recent publications highlight trapped ion quantum simulation, high-fidelity gate design, and photonic error mitigation. His group develops practical quantum hardware and co-founded IonQ, the first publicly traded pure-play quantum computing company. Fellow, American Physics Society (2021) Stansell Family Distinguished Research Award (2016) Fellow, National Academy of Inventors Fellow, Optica (formerly OSA) Kim's work bridges quantum physics and engineering, with over 80 patents and leadership in Duke's quantum computing initiatives. He recently stepped down as IonQ's CTO while maintaining active research and strategic roles at Duke.
Burak Ozdoganlar is a Ver Planck Endowed Chair Professor of Mechanical Engineering at Carnegie Mellon University (CMU) and Associate Director of the Engineering Research Accelerator. He holds courtesy faculty positions in Biomedical Engineering and Materials Science and Engineering. Ozdoganlar earned his Ph.D. in Mechanical Engineering from the University of Michigan (1999), M.S. degrees from Ohio State University (1993, 1995), and a B.S. in Aeronautical Engineering from Istanbul Technical University (1991). Ph.D., Mechanical Engineering, University of Michigan (1999) MS, Mechanical Engineering, Ohio State University (1995) MS, Aeronautical and Astronautical Engineering, Ohio State University (1993) BS, Aeronautical Engineering, Istanbul Technical University (1991) Ozdoganlar’s research focuses on multi-scale manufacturing processes (macro/micro/nano), precision engineering , structural dynamics , and modal testing , with applications in biomedical device fabrication , microneedle arrays , soft electronics , and 3D ice printing for vascular networks. His work bridges computational modeling with experimental validation. Recent scientific awards include the 2023 AIMBE College of Fellows induction, ASME Fellow (2019), and NSF CAREER Award (2006). He served as interim CTO of the Advanced Robotics for Manufacturing (ARM) Institute and chaired the ASME-MED Manufacturing Equipment Technical Committee. Ozdoganlar leads projects in scalable manufacturing for implantable medical devices , bioelectric medicine , and wearable robotics . His lab develops 3D ice-printed vascular templates for tissue engineering and liquid metal circuits for soft electronics, funded by institutions like the Manufacturing Futures Institute and ARPA-H.
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.
Jonathan M. Baker is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin, holding the Advanced Micro Devices Chair in Computer Engineering. His research centers on quantum computer architecture with emphasis on practical quantum error correction implementation across the quantum computing stack. His educational background includes a Ph.D. in Computer Science from the University of Chicago (advised by Fred Chong) and dual B.S. degrees in Mathematics and Chemistry and Computer Science from the University of Notre Dame. Baker's research spans quantum compilation, logic synthesis, multi-radix architectures, and error mitigation for both near-term and fault-tolerant quantum systems. His work addresses critical challenges in quantum hardware-software co-design, with particular focus on optimizing quantum circuits for real-world hardware constraints and noise characteristics. Current projects emphasize qudit-based computing, neutral atom architectures, and efficient error correction implementations. His publication record shows strong focus on quantum architecture innovations, with recent work exploring qudit advantages, modular chiplet designs, and dynamic noise adaptation. Key trends include hardware-aware compilation techniques, communication optimization across quantum systems, and practical approaches to fault tolerance. Best Paper Award Runner Up, MICRO 2020 IEEE Micro Top Pick, 2020 (Virtualized Logical Qubits) IEEE Micro Top Pick, 2020 (Extending Frontier with Qutrits) IEEE Micro Top Pick, 2021 (Emerging Technologies) Best Poster Award, MICRO 2018 Baker actively mentors graduate students in quantum computing architecture research and serves on conference review committees including MICRO and ASPLOS. His teaching includes specialized quantum systems courses at UT Austin and online EdX modules covering quantum computation fundamentals and architecture. He collaborates with the Duke Quantum Center and maintains strong industry connections through the AMD Chair position, focusing on bridging academic research with practical quantum computing implementations.
Nonappa Nonappa is an Associate Professor (tenure track) in Nanochemistry at Tampere University's Faculty of Engineering and Natural Sciences since 2020. With a multidisciplinary background spanning organic chemistry, supramolecular systems, nanoparticle self-assembly, and advanced electron microscopy, he leads research at the intersection of materials science and biomedical applications. PhD in Organic Chemistry (IISc Bangalore, 2008) Docent in Soft Matter Microscopy (Aalto University, 2017) Executive MBA (Quantic School, 2020) Research focuses on bio-based optical materials using nanocellulose for sustainable photonics, breast cancer models via lab-on-a-chip systems, and precision nanomaterials through tailored self-assembly mechanisms. His team develops 3D extracellular matrices for cancer tissue culture and plasmonic nanodevices for photonic applications. Recent publications highlight gold/silver nanocluster assemblies (43+ citations in 2021-2025), electron tomography for structural analysis, and metastasis modeling systems. Key awards include Italy's Abilitazione Scientifica Nazionale (2018) and Aalto University's Docent title (2017).
Suman Datta is a Professor at the Georgia Institute of Technology , holding the Joseph M. Pettit Chair in Advanced Computing and Georgia Research Alliance Eminent Scholar titles. He has a joint appointment with the School of Materials Science and Engineering. Education : B.Tech in Electrical Engineering from IIT Kanpur; Ph.D. in Electrical and Computer Engineering from the University of Cincinnati. Prior Appointments : Stinson Endowed Chair Professor of Nanotechnology at University of Notre Dame (2015–2022); Professor at Penn State (2007–2015); Intel Corporation (1999–2007) in Advanced Transistor Group. Research Interests : His work focuses on high-performance heterogeneous computing using advanced CMOS and beyond-CMOS semiconductors. Key areas include ferroelectric field-effect transistors (FeFETs) , cryogenic computing , in-memory computing , and brain-inspired computing . He explores materials like ferroelectric gate stacks , insulator-to-metal phase transition oxides , and high-mobility oxides for next-generation compute architectures. Recent Article Trends : His group’s publications emphasize BEOL-compatible oxide transistors , negative capacitance , radiation-resilient devices , and machine learning-aided modeling . Subfields include low-voltage memory , 3D Ising machines , dynamic logic at cryogenic temperatures , and monolithic integration of power delivery systems. Scientific Awards : IEEE Fellow (2013) for contributions to transistor technologies NAI Fellow (2016) for societal impact via patents Intel Achievement Award (2003) for high-k/metal gate CMOS Intel Logic Technology Quality Award (2002) for Tri-gate transistors SEMI Award (2012) for high-k dielectrics Penn State Outstanding/ Premier Research Awards (2012, 2015) Advising & Grants : He has mentored students like Wriddhi Chakraborty , Khandker Akif Aabrar , and Sourav Dutta . His research is funded by SRC , DARPA , and NSF , including leadership of the ASCENT and EXCEL centers. Labs & Collaborations : Datta directs the STAR Lab at Georgia Tech, which specializes in atomistic modeling , nanofabrication , and compact model development . The lab collaborates with industry giants like Intel , Micron , and IBM through the ASCENT center.
Lan Wei is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. She leads the Waterloo Emerging Integrated Systems Group, focusing on device-circuit co-optimization, cryogenic CMOS for quantum computing, and emerging technologies like GaN, RRAM, and low-dimensional materials. Her work bridges nanoelectronics and system-level applications, with notable contributions to the MIT Virtual Source GaN HEMT (MVSG) compact model, an industry-standard tool. Education: B.S. in Microelectronics and Economics, Peking University (2005) M.S. and Ph.D. in Electrical Engineering, Stanford University (2007, 2010) Research Interests: Nanoelectronic devices Cryogenic CMOS for quantum computing GaN-based circuits and systems RRAM-based neuromorphic computing Device-circuit interactive design Publications reflect her expertise in GaN modeling, quantum computing hardware, and RRAM applications. Recent work emphasizes scalable quantum control circuits and error-resilient neural networks using emerging technologies. Awards include the 2019 Ontario Early Researcher Award and the 2020 UWaterloo President's Excellence Award in Research. She has served on technical committees for IEDM, DATE, and ICCAD, and contributed to the ITRS roadmap. Teaching includes courses like ECE 240 (Electronic Circuits) and ECE 730 (Solid State Devices). Her group actively seeks graduate students with interest in integrated systems and nanoelectronics.
Joshua Gess is an Associate Professor in the Mechanical, Industrial, and Manufacturing Engineering department at Oregon State University's College of Engineering. He joined Oregon State in 2015 and serves as a co-principal investigator at the Enhanced Heat Transfer Laboratory, where he leads research in thermal management solutions for high-performance microelectronics. His educational background includes: PhD, Mechanical Engineering, Auburn University, 2015 MS, Mechanical Engineering, Auburn University, 2012 B.E., Mechanical Engineering, Vanderbilt University, 2005 Before academia, he worked as a mechanical engineer at SSOE Group (including consulting for Johns Manville) and Northrop Grumman where he focused on military communication equipment. Professor Gess specializes in advancing thermal management solutions for high-performance microelectronic equipment. His research spans multiple scales, examining single and two-phase heat transfer on the macro-scale with passive and active liquid immersion techniques, as well as on the micro and nano scale for complex embedded thermal management solutions. He combines fundamental heat transfer knowledge with novel experimental methods such as two-phase PIV and high-speed image capture to develop reliable and energy-efficient cooling solutions for demanding electronics systems. His publication record demonstrates a clear trajectory toward increasingly sophisticated thermal management solutions, with recent work focusing on additive manufacturing applications for cooling systems, semiconductor thermal management, and nuclear reactor cooling systems. His research has significant implications for data center energy efficiency, where even small improvements in cooling efficiency could save enormous amounts of energy that could be returned to the grid. Gess is deeply committed to mentoring graduate students, emphasizing the practical applications of engineering principles. He attributes his interest in engineering to childhood influences like the movie RoboCop and the TV series MacGyver, and finds the reality of engineering work just as gratifying as he'd imagined. He particularly values the moments when his graduate students "get it" and watching them grow with each new accomplishment. As a person with a disability himself, Gess is passionate about establishing more robust support systems for people with disabilities at Oregon State. He is working with the School of Public Health to start an adaptive sports program, with the goal of building infrastructure that allows anyone to feel welcome and pursue advanced degrees at the university.
Jonathan Baugh is a Professor in the Department of Chemistry at the University of Waterloo, serving as Director of the Quantum Information Graduate Program. His research focuses on quantum devices, nanoelectronics, and molecular electronics with affiliations at the Institute for Quantum Computing and Waterloo Institute for Nanotechnology. He leads the Baugh Research Lab, exploring quantum control, semiconductor spin qubits, and superconducting hybrid systems. Research interests include quantum information processing, nanoscale charge transport, and the development of next-generation photonic sources. His work bridges quantum physics and materials science, with recent breakthroughs in dopant-free semiconductors and single-molecule transistors. Publications emphasize scalable quantum architectures, noise mitigation in quantum control, and phase-coherent molecular electronics. Current projects involve cryogenic CMOS device modeling and topological quantum computing in silicon-based systems. No awards are explicitly listed, though his work has been highlighted in invited reviews and special sessions on quantum systems. Advising focuses on graduate students in quantum nanotechnology and condensed matter physics. His lab collaborates on integrated quantum networks and III-V/Si nanowire photodetectors. Labs/Teams: Baugh Research Lab (Quantum Nanoelectronics Group), Institute for Quantum Computing (IQC), Waterloo Institute for Nanotechnology (WIN).
Dr. Chih-Hung (James) Chen is a Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on noise-related issues in semiconductor devices, low-noise circuit design for medical and communication applications, and thermal noise characterization in nano-scale transistors. He holds senior member status in IEEE and is a licensed Professional Engineer in Ontario. Education: Ph.D., McMaster University, 2002 M.A.Sc., Simon Fraser University, 1997 B.Sc., National Central University, Taiwan, 1991 Research interests include biomedical technologies, microelectronics & VLSI, and digital/smart systems. He has collaborated with companies like Sony Corporation, United Microelectronics Corporation, and Focus Microwaves. His work is supported by grants from the Canada Foundation for Innovation (CFI), NSERC, and the Ontario Innovation Trust (OIT). Notable achievements include serving on the International Advisory Committee of the International Conference on Noise and Fluctuations (2015) and as an editor for the Journal of Low Power Electronics and Applications since 2022. Teaching includes courses like Analysis and Design of RF ICs for Communications and Electronic Devices and Circuits 2. His research lab focuses on advancing noise measurement techniques and designing ultra-low-power analog circuits for emerging applications.
Swiss Federal Institute of Technology in LausanneSwitzerland
Kirsten Emilie Moselund is a Full Professor of Electrical and Microengineering at École Polytechnique Fédérale de Lausanne (EPFL) and Head of the Laboratory of Nano and Quantum Technologies (LNQ) at Paul Scherrer Institut (PSI) since 2022. She bridges quantum and classical technologies through interdisciplinary research collaborations across the ETH domain. Her leadership spans multiple groups in quantum computing and nanotechnology, including the ETHZ-PSI Quantum Computing Hub. Education: M.Sc. in Engineering (2003) and Ph.D. in Microelectronics (2008), both from EPFL and Technical University of Denmark (DTU) Her research focuses on semiconductor device innovation, including low-power electronics , cryogenic electronics , and integrated photonics , with an emphasis on III-V on silicon monolithic integration for hybrid quantum-classical systems. Key subfields include topological devices , nanophotonics , and neuromorphic computing . Recent publications highlight advancements in III-V photonic integration , nanoscale lasers , and optoelectronic device physics , reflecting her expertise in bridging materials science with quantum engineering. Notably, her work on hybrid photonic-plasmonic nanolasers earned an ERC Starting Grant . As an academic leader, Moselund has directed multiple Ph.D. theses and contributed to over 100 publications with 25 patents filed. She serves on technical committees for major conferences like IEDM and participates in European and Swiss research initiatives. Labs & Teams: Lead the LNQ laboratory at PSI with six research groups Professional Memberships: Wissenschaftliche Beirat of IHP Microelectronics, Kuratorium IMS Chips
Swiss Federal Institute of Technology in LausanneSwitzerland
Christian Enz is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he serves as Director of the Institute of Microengineering and Head of the Integrated Circuits Laboratory. With M.S. and Ph.D. degrees in electrical engineering from EPFL (1984 and 1989), he has established himself as a leading researcher in low-power analog circuit design and semiconductor device modeling. His research interests focus on very low-power analog and RF IC design , semiconductor device modeling , and increasingly on cryogenic electronics for quantum computing applications . Professor Enz is particularly known for his work on FDSOI MOSFET behavior at cryogenic temperatures, developing comprehensive models that address challenges in subthreshold swing saturation, threshold voltage shifts, and self-heating effects. As a Life Fellow of IEEE with 282 publications and over 7,400 citations, Professor Enz has made significant contributions to the field. His recent work demonstrates how the $G_{m}/I_{D}$ design methodology remains effective in advanced technology nodes and can be extended to cryogenic temperature operation. His research bridges fundamental semiconductor physics with practical circuit design considerations for quantum computing interfaces. Life Fellow, IEEE Director of the Institute of Microengineering, EPFL Head of the Integrated Circuits Laboratory 282 publications with 7,400+ citations Specialist in cryogenic CMOS for quantum computing Professor Enz's work on cryogenic electronics addresses critical challenges for quantum computing scalability. By developing accurate models for transistor behavior at temperatures as low as 3.3K, his research enables the design of specialized control electronics that can operate inside dilution refrigerators, potentially solving major wiring constraints that currently limit quantum computer scaling. His laboratory continues to advance the understanding of semiconductor device physics at cryogenic temperatures while developing practical circuit design methodologies for this emerging application domain.
Professor Manolis Gavaises is a leading academic in the field of mechanical engineering and computational fluid dynamics at City St George's, University of London, where he holds the position of Professor in the School of Engineering and Mathematical Sciences. He earned his PhD from Imperial College London and has been a faculty member since 2001, progressing to full Professor in 2009. His research is centered on advanced modeling of multi-phase flows, cavitation, and fuel injection systems, with extensive collaborations across Europe and industry partners such as Delphi, Caterpillar, and BP. Education: DIC, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 PhD, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 Diploma (5 years), Mechanical Engineering, National Technical University of Athens, 1992 His research interests span computational fluid dynamics, cavitation, fuel injection, atomization, high-pressure and supercritical flows, and alternative fuels . He has developed advanced numerical models and experimental techniques, including X-ray phase contrast imaging and high-pressure test rigs. His work integrates fundamental DNS and LES simulations with industrial applications in automotive, marine, aerospace, and medical devices such as heart valves. The recent publications reflect a strong trend toward real-fluid thermodynamic modeling (e.g., PC-SAFT), multi-component fuel behavior, cavitation erosion, and advanced diagnostics . His research increasingly incorporates machine learning and high-fidelity imaging to understand complex flow phenomena across energy, transportation, and biomedical domains. Scientific Awards and Recognitions: Richard Way Prize (1998) Arch T. Collwell Merit Award (1998) Best Oral Paper, SAE World Congress (2006) PE Publication Award, IMechE (2007) Best Presentation Award, Engine Combustion Processes (2009) Fellow, IMechE (2013) Fellow, IMA (2015) As a dedicated mentor, Professor Gavaises has supervised 13 PhDs to completion and currently guides 23 doctoral students. He has secured over €16 million in EU and UK funding, including multiple Horizon 2020 Marie Skłodowska-Curie ITN projects (CAFÉ, HAOS, IPPAD), which support 46 early-career researchers globally. He has created academic opportunities for post-docs and junior faculty, significantly advancing the research profile of his institution. He leads the International Institute of Cavitation Research (IICR), co-founded in 2011 with partners from Loughborough University, TU Delft, and Imperial College, supported by The Lloyd’s Register Foundation. His lab maintains strong experimental capabilities, including a 2000bar pressure flow rig with micro-transparent nozzles and collaborations with Argonne National Laboratory for X-ray imaging.
Doç. Dr. Muhammed Aras is an Associate Professor in the Department of Mechanical Engineering at Baskent University (Başkent Üniversitesi), with a research focus on sustainable machining processes, tool wear monitoring, and surface roughness optimization. His work spans advanced manufacturing technologies, energy storage systems, and biomedical device design. PhD in Manufacturing Engineering (2018), Gazi Üniversitesi MSc in Mechanical Education (2013), Gazi Üniversitesi BSc in Mechanical Engineering (2010), Tabriz Islamic Azad University Research interests include sustainable machining (dry/hard turning, cooling-lubrication strategies), tool wear analysis (CBN, ceramic and coated inserts), and surface integrity optimization using AI-based methods (firefly algorithm, TOPSIS, Grey Relational Analysis). His 15 most recent articles (2017-2024) examine topics like: Surface roughness prediction in dry hard turning Energy storage technology viability assessments Cutting parameter optimization for various steels Acoustic/vibration monitoring in machining He has received scientific awards including the Teşvik Ödülü (Encouragement Award, 2015). His patent on an automatic orthognathic surgery articulator and book chapters on tool monitoring systems demonstrate his multidisciplinary impact.
Norwegian University of Science And TechnologyNorway
Nadia Shardt is an Associate Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). Her research focuses on interfacial thermodynamics, particularly in systems with nanoscale curvature, with applications spanning atmospheric science, biomedical cryopreservation, and industrial process optimization. She contributes to teaching courses such as TKP4580 - Chemical Engineering Specialization Project and KP3100 - Chemical Engineering . PhD in Chemical Engineering (University of Alberta, 2019) BSc in Chemical Engineering (University of Alberta, 2015) Postdoctoral researcher at ETH Zurich (2020-2022) Her work addresses fundamental challenges in phase behavior under curvature constraints, combining microfluidic experimentation , Gibbsian thermodynamic modeling , and machine learning techniques to study systems like CO 2 storage media, cloud microphysics, and food emulsions. Recent publications emphasize surface tension modeling for complex multi-component systems and cryoprotectant loading efficiency. Scientific awards include the ETH Postdoctoral Fellowship Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship Outstanding Academic Fellows Programme 2024-2028
