Find Academic Supervisors

Audrey TaylorView profile

Researcher

• Electrochemistry
• Materials Science
• Fuel Cell Technology
• +3 more

Audrey Taylor is a Researcher at the National Renewable Energy Laboratory (NREL) within the Chemistry and Nanoscience department. Her work focuses on advancing electrochemical systems for energy conversion and carbon dioxide utilization. B.Sc. in Chemistry, Evergreen State College M.Sc. in Chemistry, Western Washington University Ph.D. in Chemistry, Simon Fraser University Dr. Taylor's research explores fuel cell diagnostics , electrode durability , and scalable CO2 reduction technologies. She investigates structure-property relationships in electrocatalytic materials and their transport properties. Recent publications reveal trends in electrochemical CO2 conversion , catalyst layer phenomena , and solid electrolyte systems . Collaborations span institutions including the University of Delaware and Stanford University. Scientific Awards Barbara Ferrier Research Award (2019) Mitacs Award for Outstanding Innovation (2020) Oral and Poster Award (2016) Simon Fraser University Graduate Fellowship (2018) S-STEM Scholarship (2012) Audrey contributes to professional networks through membership in the Canadian Society for Chemistry and The Electrochemical Society . Her work addresses critical challenges in clean energy technologies and electrochemical manufacturing.

Nathalie P. de LeonView profile

Associate Professor

• Quantum Information Science
• Applied Physics
• Condensed Matter Physics
• +5 more

Nathalie P. de Leon is an Associate Professor of Electrical and Computer Engineering at Princeton University and an Associated Professor of Physics. She is affiliated with the Princeton Plasma Physics Laboratory and co-leads the Co-Design Center for Quantum Advantage (C 2 QA). Her lab focuses on quantum hardware development using color centers in wide bandgap materials and superconducting qubits, with applications in quantum networks and nanoscale sensors. Ph.D., Chemical Physics, Harvard University, 2011 B.S., Chemistry, Stanford University, 2004 Her research spans optical materials , light-matter interactions , and quantum information processing , integrating nanophotonics , surface science , and quantum metrology . Recent publications highlight advances in diamond-based quantum sensors , superconducting circuit engineering , and noise/loss mitigation in quantum systems. Scientific Awards: APS Rolf Landauer and Charles H. Bennett Award in Quantum Computing (2023) DOE Early Career Award (2018) DARPA Young Faculty Award (2018) NSF CAREER Award (2018) Her lab has advised 22 graduate students and collaborates extensively with institutions like Princeton Plasma Physics Laboratory, University of Chicago, UZH, and Brookhaven National Laboratory. Current projects emphasize hybrid quantum devices , telecom band photonics , and many-body quantum physics .

• Nanomaterials Chemistry
• Electron Microscopy
• Electrocatalysis
• +3 more

Dr. Lucy Gloag is a Lecturer at the Research School of Chemistry at the Australian National University (ANU), where she joined in 2024 after previously serving as a Lecturer at the University of Technology Sydney in 2023. Her research focuses on the development of advanced nanomaterials for energy applications, particularly in electrocatalysis and energy storage. Education: BSc/BCA and BSc(Hons) from Victoria University of Wellington, New Zealand PhD from the University of New South Wales (2018) on synthesis and characterization of Ru-based nanocatalysts Dr. Gloag is a nanomaterials chemist and electron microscopist specializing in the synthesis and characterization of nanomaterials for electrocatalytic applications. Her research addresses the fundamental question of how nanostructure can be used to enhance the performance of electrocatalysts . She employs solution-phase synthesis techniques to create nanoparticles with precise control over crystal structure, dimensions, and surface faceting, then correlates these structural features with electrocatalytic properties using transmission electron microscopy and electrochemistry. Her work spans energy conversion technologies, biomedical applications of nanoparticles, and advanced materials characterization. Analysis of her recent publications reveals a strong focus on single-atom catalysts, hierarchical nanostructures, and the relationship between nanomaterial structure and function. Her research spans both fundamental materials science and practical applications in energy conversion, with significant work on oxygen evolution reaction, hydrogen evolution reaction, and methanol oxidation electrocatalysts. She has also made notable contributions to biomedical applications of nanoparticles, particularly in magnetic particle imaging and Alzheimer's disease diagnostics. Scientific Awards: ARC Discovery Project Grant (2023) ARC Linkage Project Grant (2023) UNSW Science COVID19 Strategic Support Grant (October 2021) Dementia Australia Research Foundation – Yulgilbar Innovation Grant (2019-2022) Australian Postgraduate Research Scholarship (2015) AMN-7 Image Competition Finalist (2015) Dr. Gloag currently leads the ANU Futures Scheme 2.0 project (2024-2028) and has secured multiple competitive research grants, demonstrating strong research leadership. Her work involves extensive collaboration with researchers at UNSW and other institutions, particularly with Professors Richard Tilley and Justin Gooding. She has published 28 research outputs since 2015, with significant citation impact (h-index of 17). Her laboratory at ANU (Building 137, room 2.49) focuses on developing single atom and nanomaterials for energy storage and conversion technologies, continuing her trajectory as an emerging leader in advanced materials synthesis and electron microscopy characterization.

Huaxiang FuView profile

Professor

• Ferroelectric Materials
• Quantum Dots
• Density Functional Theory
• +4 more

Dr. Huaxiang Fu is a Professor in the Department of Physics at the University of Arkansas' College of Arts & Sciences, where he has been since 2002. His research focuses on first-principles computational studies of bulk and nanomaterials, particularly ferroelectric materials, quantum dots, and organic-inorganic hybrid materials. Education: Ph.D., Fudan University, China (1994) Postdoctoral Associate, National Renewable Energy Lab, Colorado (1995–1998) Postdoctoral Associate, Geophysical Lab, Carnegie Institution of Washington, DC (1999–2000) Dr. Fu's research spans five key areas: phase transitions in low-dimensional ferroelectrics, finite electric fields in solids, defect physics in ferroelectrics, hyperferroelectricity, and organic-inorganic hybrid materials. His work often employs density functional theory and computational modeling to explore polarization behavior, strain effects, and electronic structure. His recent publications highlight trends in ferroelectricity under strain , defect-induced polarization changes , and spin-orbit coupling effects . Notable collaborations include researchers at Carnegie Institution and University of Arkansas. Teaching: Undergraduate: General Physics, Statics, Mechanics of Materials, University Physics II, Electromagnetism, Fortran Programming, Computational Physics in C++, Physics for Architects II, Thermal Physics. Graduate: Statistical Mechanics, Solid State Physics, Optical Properties of Materials, Advanced Solid State Physics, Physics at the Nanoscale, Quantum Mechanics, Mathematical Methods. Research Contributions: 2004: Nature publication on ferroelectric nanodisks 2000: Nature paper on polarization rotation in piezoelectrics 2013: Pioneering work on electromechanical angular momentum coupling

Sebastian KubeView profile

Assistant Professor

• Autonomous materials discovery
• Refractory alloys for extreme environments
• Glass forming ability and structure of metallic liquids
• +2 more

Sebastian Kube is an Assistant Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison's College of Engineering, with additional affiliation in Mechanical Engineering. His research accelerates alloy development through autonomous discovery methods combining robotics, data science, and advanced characterization. Dr. Kube's educational background includes: Postdoctoral Researcher (2023), University of California Santa Barbara (Tresa Pollock Lab) PhD (2021), Yale University (Jan Schroers Lab) BS (2016), Giessen University His work focuses on refractory multi-principal element alloys for extreme environments (>1300°C) and metallic liquid structure-property relationships. He develops autonomous platforms to navigate complex parameter spaces, targeting improved glass forming ability and rapid solidification processing through B2 precipitation strategies and novel characterization techniques. Recent publications emphasize refractory high-entropy alloys, BCC-B2 systems, and metallic glasses, integrating experimental and computational approaches to decode phase stability, deformation mechanisms, and glass formation for accelerated materials design. Major recognitions include: 2025 DARPA Young Faculty Award 2024 ARPA-E IGNIITE Early Career Award RCSA Scialog Fellowship for Automating Chemical Laboratories He mentors graduate students through thesis courses (M S & E 790/890/990) and leads the Autonomous Alloy Discovery Lab, which develops robotic systems for high-throughput experimentation. Current projects target next-generation turbine alloys and environmentally sustainable materials for aerospace, energy, and defense applications.

• Neuromorphic Computing
• Memristor-Based Architectures
• Energy-Efficient AI Hardware
• +7 more

Said Hamdioui serves as a full Professor in the Department of Computer Engineering within the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His research focuses on cutting-edge hardware architectures for neuromorphic computing and energy-efficient AI acceleration, with particular emphasis on memristor-based systems, emerging memory technologies, and fault-tolerant designs for edge applications. His research interests span Neuromorphic Computing , Memristor-Based Architectures , and Energy-Efficient AI Hardware , addressing critical challenges in hardware security, computation-in-memory, and reliable edge AI deployment. Recent work demonstrates significant advancements in RRAM/FeFET testing methodologies, spiking neural network implementations, and spin wave computing alternatives to traditional CMOS. His publications reveal strong trends toward real-world deployment of brain-inspired hardware with practical constraints like power efficiency, testability, and security. Award highlights include: DATE'20 Best Paper Award DFT'21 Outstanding Student Paper ETS 2021 Best Paper Award LATS 2018 & 2022 Best Paper Awards Professor Hamdioui actively contributes to the research community through editorial roles at IEEE Transactions on VLSI Systems , IEEE Design & Test , and Journal of Electronic Testing from 2017-2018. His leadership in multi-partner projects like CONVOLVE and NEUROKIT2E demonstrates strong industry-academia collaboration for edge AI solutions. Current work shows increasing focus on practical deployment challenges including in-field fault monitoring, security vulnerabilities in neuromorphic systems, and realistic brain simulation frameworks.

Wenjing RaoView profile

Associate Professor

• VLSI Test
• Fault-Tolerance
• Reliability
• +3 more

Wenjing Rao is an Associate Professor at the Department of Electrical and Computer Engineering, College of Engineering, University of Illinois at Chicago (UIC). Her research focuses on VLSI test, fault-tolerance, reliability, and hardware security in emerging nanoelectronic systems. Education: Ph.D. in Computer Science from University of California, San Diego (2008) B.S. in Computer Science from Peking University (2001) Her work explores novel computation paradigms through physical unclonable functions (PUFs), defect-tolerant logic implementation, and scalable fault tolerance in many-processor arrays. Publications emphasize hardware security, reconfiguration strategies, and reliability challenges in nanoscale architectures. Notable honors include the 2017 Harold A. Simon Award for Excellence in Teaching and the 2012 NSF CAREER Award. She has contributed to key journals like IEEE Transactions on Computer-Aided Design and conferences including DATE, ASPDAC, and NANOARCH.

Mercouri KanatzidisView profile

Professor

• Inorganic Chemistry
• Solid State Chemistry
• Chalcogenide Chemistry
• +7 more

Mercouri Kanatzidis is the Charles E. and Emma H. Morrison Professor of Chemistry at Northwestern University's Weinberg College of Arts and Sciences, with a joint appointment at Argonne National Laboratory. His research spans multiple cutting-edge areas of materials science and solid-state chemistry. His research interests focus on inorganic chemistry, solid state and coordination chemistry of chalcogenide and halide compounds, with emphasis on the design of new materials through exploratory synthesis. His work particularly targets thermoelectric materials, nanostructured materials, intermetallics, and applications for solar energy conversion, radiation detection, heat-to-electrical conversion, and nuclear and environmental remediation. Kanatzidis's recent publications reveal a strong focus on perovskite materials for radiation detection and solar cells, thermoelectric materials, and chalcogenide chemistry. His group has made significant advances in understanding the fundamental properties of these materials while developing practical applications. His work on CsPbBr3 perovskite detectors has demonstrated exceptional performance for X-ray and gamma-ray detection, while his thermoelectric research has led to materials with record-high efficiency. Centenary Prize, 2023, the Royal Chemical Society Elected to the American Academy of Arts and Sciences, 2023 Global Energy Prize, 2022 Clarivate Highly Cited Researcher since 2015 National Academy of Sciences election, 2024 DOE Ten at Ten Award for perovskite solar cell work, 2019 ACS Award in Inorganic Chemistry, 2016 MRS Medal, 2014 Professor Kanatzidis has mentored over 95 Ph.D. students and nearly 130 postdoctoral fellows throughout his career. His group maintains active collaborations with multiple research centers including Argonne National Laboratory, the Trienens Institute, and research groups led by Dravid, Seidman, Wessels, Wolverton, Mohite, and Chabinyc. His laboratory is equipped with extensive facilities for materials synthesis and characterization, including multiple gloveboxes, X-ray diffractometers, thermal analysis equipment, and specialized furnaces for crystal growth.

Heikki RemesView profile

Associate Professor

• Marine Engineering
• Structural Engineering
• Fatigue and Fracture Mechanics
• +3 more

Heikki Remes serves as Associate Professor in the Department of Energy and Mechanical Engineering at Aalto University's School of Engineering, where he investigates high-performance steel structures for marine environments with emphasis on lightweight ship designs using advanced materials and manufacturing techniques. His research integrates fundamental fatigue and fracture mechanics with practical structural challenges, spanning from crystal-level material behavior to continuum-scale modeling. Key focus areas include welded joint integrity, additive manufacturing defects, and computational analysis of marine structures under extreme conditions. Recent publications reveal strong trends in fatigue assessment methodologies for complex welded geometries, experimental validation of distortion effects, and AI-enhanced damage prediction systems, reflecting his commitment to bridging theoretical mechanics with shipbuilding applications. Scientific Awards: Aalto Education Impact Award (2018) for establishing Marine Technology study programs SNAME Honorable Mention for 2018 Vice Admiral E. L. Cochrane Award Teaching Award of Aalto School of Engineering (2012) for educational tools No specific student advising or grant information appears in available sources, though his active publication record indicates ongoing research leadership. He contributes significantly to the Marine and Arctic Technology research group, driving projects on structural integrity assessment and advanced manufacturing solutions for next-generation marine vessels.

• Machine Learning
• Deep Learning
• Anomaly Detection
• +5 more

Peter Karsmakers serves as Associate Professor at KU Leuven's Department of Computer Science within the Faculty of Engineering Technology, based at the Geel Campus. He coordinates the Declarative Languages and Artificial Intelligence (DTAI) research group and holds leadership roles including coordinator of Research and Education for Computer Science across Geel and Diepenbeek Campuses. Karsmakers earned his PhD in Engineering Science in May 2010, focusing on kernel-based learning algorithms for sparse modeling and efficient predictions from large datasets. His doctoral work established foundations for his current research trajectory in resource-constrained machine learning systems. His research integrates machine learning with signal processing for real-time sensor data interpretation, specializing in anomaly detection from acoustic, radar, and accelerometer signals on embedded devices. Current projects address industrial condition monitoring, elderly care systems, and livestock facility monitoring through three main tracks: acoustic monitoring (e.g., SINS, WATCHDOG), radar-based systems (e.g., FARADAY, NextPerception), and smart electronics for power converters. Recent publications demonstrate strong trends in constraint-guided deep learning architectures for industrial applications, cross-environment robustness in sensor systems, and domain-knowledge integration to reduce data requirements. His work consistently bridges theoretical machine learning with practical implementations in resource-constrained environments. No scientific awards or fellowships were mentioned in the provided materials. Karsmakers supervises over 10 master's theses annually and coordinates a research team of 10 PhD students and a post-doc within DTAI-ADVISE. He has secured approximately 2.3 million euros in funding through VLAIO, EU-ECSEL, and bilateral industry contracts, including 10 active projects such as AutoEdgeML (2024-2028) and Fault Tolerant Neural Networks for Space Applications (2024-2027). He leads the DTAI-ADVISE research group focused on developing software that attaches semantics to sensor data on resource-constrained devices. The team operates across multiple campuses with specialized labs for acoustic monitoring (Geel), radar-based systems (in collaboration with ESAT-TELEMIC), and smart electronics (with Electrical Engineering department), maintaining strong industry partnerships with companies in healthcare, manufacturing, and agriculture sectors.

Abdol-Hossein EsfahanianView profile

Professor

• Graph Theory
• Computer Networks
• Algorithm Design
• +3 more

Abdol-Hossein Esfahanian is a Professor and Chairperson of the Computer Science and Engineering (CSE) Department at Michigan State University (MSU), part of the College of Engineering. He joined MSU in 1983 and has held leadership roles, including Graduate Director for 10 years and Associate Chair. His research focuses on applying graph theory to computer networks, algorithm design, and fault-tolerant computing. He has published extensively in journals like IEEE Transactions on Computers and Discrete Applied Mathematics, and serves as an editor for professional journals. Education: Ph.D. in Electrical Engineering and Computer Science from Northwestern University (1983), M.S. in Computer, Information, and Control Engineering from the University of Michigan (1977), and B.S. in Electrical Engineering from the University of Michigan (1975). Research interests include graph theory applications in network design, distributed systems, and fairness-aware algorithms. Notable awards include the Withrow Teaching Excellence Award (2005, 2015) and recognition as an IEEE Senior Lifetime Member. Teaching includes courses like CSE 835 (Algorithmic Graph Theory). He has contributed to curriculum development, emphasizing computational competencies for engineering students. His work integrates theoretical foundations with practical applications in networking and distributed systems.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +5 more

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.

Jianqi XiView profile

Assistant Professor

• Nuclear Materials
• Fusion Materials
• Radiation Effects
• +5 more

Jianqi Xi is an Assistant Professor in the Department of Nuclear, Plasma & Radiological Engineering at the University of Illinois Urbana-Champaign, affiliated with The Grainger College of Engineering. His research focuses on nuclear materials, combining multiscale modeling with experimental techniques to understand material degradation under radiation and corrosive environments. He holds a Ph.D. in Materials Science and Engineering from the University of Tennessee-Knoxville (2017). Before joining UIUC, he held postdoctoral and industry positions at the University of Wisconsin-Madison and ThermoFisher Scientific. Research Interests: Fusion Materials Design Radiation-Corrosion Synergy Multiscale Modeling of Microstructure Evolution Data-Driven Materials Innovation Molten Salt Corrosion Recent publications emphasize atomic-scale mechanisms in silicon carbide (SiC) corrosion, radiation damage mitigation, and advanced ceramics design. His work bridges computational simulations with experimental validation to address challenges in nuclear energy systems. Awards include the Joseph E. Spruiell Award (2017) and recognition as an Outstanding Reviewer (2018). He leads the Modeling of Nuclear Materials (MNM) Group , focusing on interdisciplinary approaches to accelerate material discovery for next-generation nuclear reactors. Current openings exist for researchers interested in computational materials science and experimental collaborations.

Robert ThorneView profile

Professor

• Biological Physics
• Experimental Condensed Matter Physics
• Physics Education Research
• +7 more

Robert Thorne is a Professor in the Department of Physics at Cornell University's College of Arts and Sciences. His research spans biological physics, experimental condensed matter physics, and physics education innovations. He holds a B.Sc. from the University of Manitoba (1981) and a Ph.D. from the University of Illinois at Urbana (1987). Stephen H. Weiss Presidential Fellow (2011-present) Founder and CTO of MiTeGen LLC (2004-present) Research Interests: Thorne's work focuses on: Single-particle cryo-EM and time-resolved molecular movies Advanced X-ray crystallography and SAXS techniques Water/ice physics in biological and materials contexts X-ray fluorescence imaging for archaeology Physics education curriculum reform and outreach programs Publication Trends: His 15 most recent articles (2004-2021) demonstrate expertise in: Structural biology methodology Radiation damage mitigation Nanoconfined material behavior Cultural heritage imaging Physics education innovation Crystallography instrumentation Awards: Presidential Young Investigator (1988-1993) Alfred P. Sloan Fellow (1988-1990) Stephen H. Weiss Presidential Fellow (2011-present) Advising & Grants: Active mentor of M.S. student Myeonghak Lee and undergraduate Andrew DiFabbio . His research has received grants supporting student engagement and CHESS synchrotron upgrades.

• Composite Materials
• Structural Mechanics
• Lightweight Structures
• +3 more

Stefan Hallström is an Associate Professor in Lightweight Structures at KTH Royal Institute of Technology's Aeronautical and Vehicle Engineering School, affiliated with the MATERIAL AND STRUCTURAL MECHANICS department. He specializes in composite materials, structural mechanics, and lightweight design, focusing on aerospace and automotive applications. His research explores advanced composites, sandwich structures, and material behavior under various loading conditions. Hallström teaches courses including Lightweight Design (SD2432), Lightweight Structures and FEM (SD2411), and supervises degree projects in Lightweight Structures and Solid Mechanics. He has published extensively on topics like 3D-woven composites, damage tolerance, and mechanical reinforcement strategies, with over 90 peer-reviewed articles. His work emphasizes material characterization, finite element modeling, and practical applications in structural engineering. Key research trends include optimizing composite joint performance using metal inserts, analyzing moisture effects on composite laminates, and developing frameworks for modeling 3D textile architectures. His contributions address challenges in aerospace materials, energy absorption in beams, and improving simulation accuracy for molded composites. Hallström collaborates on projects involving novel instrumented test rigs for polymer composites and advanced manufacturing techniques for structural reliability. His expertise bridges theoretical mechanics with practical engineering solutions, influencing both academic research and industrial applications.