Find Academic Supervisors

• Applied and Computational Statistics
• Biostatistics and Bioinformatics
• Robust and Semiparametric Statistical Methods
• +3 more

Douglas G. Simpson is a Professor of Statistics at the University of Illinois Urbana-Champaign (UIUC) and Affiliate Professor at the Beckman Institute for Advanced Science and Technology. He has held leadership roles, including Chair of the Department of Statistics (2000–2019) and Associate Director of the Institute for Mathematical and Statistical Innovation (2020–2022). His research focuses on applied computational statistics, biostatistics, robust statistical methods, functional data analysis, and quantitative image analysis. Education: BA in Mathematics (Carleton College, 1980), MS and PhD in Statistics (UNC Chapel Hill, 1983 and 1985). He has served on editorial boards for journals like the Journal of the American Statistical Association and Biometrics , and on NIH’s Biostatistical Research and Design Study Section. Awards include Fellowships from the American Statistical Association (2000), Institute of Mathematical Statistics (1998), and AAAS (2017). Recent work emphasizes preterm birth risk prediction via quantitative ultrasound, leveraging interdisciplinary collaborations. His publications explore statistical methodologies for functional data, medical imaging, and clinical decision-making. He advises on external relations for the Statistics Department and maintains active roles in professional societies like the ASA and SIAM. Key contributions include advancing robust statistical techniques, developing algorithms for medical image analysis, and leading institutional initiatives in statistical innovation. His work bridges theory and application, addressing challenges in biomedicine, environmental science, and public health.

Robert WexlerView profile

Assistant Professor

• Computational materials
• Sustainable energy
• Electrocatalysis
• +2 more

Dr. Robert Wexler is an Assistant Professor of Chemistry at Washington University in St. Louis, leading a research group focused on computational materials design for sustainable energy applications. His work develops advanced methods to model interfacial phenomena in electrocatalysis, solar energy conversion, and environmental energy harvesting. Key research thrusts include predicting catalyst surface structures under operational conditions, designing perovskites for solar thermochemical hydrogen production, and optimizing nanocrystal synthesis. The group employs first-principles calculations, Monte Carlo simulations, and machine learning to establish structure-function relationships in energy materials. Dr. Wexler received a $1.25M DOE grant for hydrogen production research and leads multiple projects on solar fuel generation. His publications demonstrate expertise in surface science, thermochemical cycles, and materials informatics. Awards include the Ralph E. Powe Junior Faculty Enhancement Award and multiple young investigator recognitions.

Yingying WuView profile

Assistant Professor

• Quantum materials
• Quantum devices
• Nanoelectronics
• +7 more

Yingying Wu is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Florida. Her research focuses on quantum materials, spintronics, nanoelectronics, and unconventional computing paradigms like neuromorphic systems. She holds a PhD from UCLA (2020) and completed postdoctoral research at MIT’s Center for Integrated Quantum Materials (2023). Her work spans multiferroic heterostructures, 2D magnetic materials, and topological quantum phenomena. Notable achievements include the NSF CAREER Award (2025) and the IBM Pat Goldberg Memorial Best Paper Award (2023). She serves on editorial boards for Nanotechnology and NPJ Spintronics . Publications highlight innovations in magnetic skyrmion dynamics, neuromorphic computing architectures, and room-temperature spintronic devices. Her research bridges quantum materials with practical applications in low-power electronics and next-generation computing technologies.

Toshikazu NishidaView profile

Professor

• Semiconductor Devices
• MEMS
• Ferroelectric Materials
• +5 more

Toshikazu Nishida is a Professor and Associate Dean for Academic Affairs at the University of Florida's Herbert Wertheim College of Engineering, Department of Electrical and Computer Engineering. He holds a PhD (1988) and MS (1985) in Electrical & Computer Engineering, and a BS in Engineering Physics (1983), all from the University of Illinois at Urbana-Champaign. His research focuses on multi-functional semiconductor devices, sensors, actuators, and MEMS, with emphasis on materials like strained Si, SiGe, GaN, ferroelectrics, and polymers. He has pioneered innovations in ferroelectric thin films, nanoelectromechanical systems, and flexible hybrid electronics, with applications in wearable sensors, energy harvesting, and microfluidic devices. Dr. Nishida has authored over 150 peer-reviewed publications and holds 11 U.S. patents. His awards include the NASA Invention Award (2008), IEEE Electron Device Society Distinguished Lecturer (2006-2011), and multiple teaching accolades such as the 2003 College of Engineering Teacher of the Year. His work bridges fundamental materials science with applied engineering systems. Lab/Team Affiliation : Interdisciplinary Microsystems Group (IMG) Grants : Not explicitly listed but implied through patent and publication activity. Future Work : Continued exploration of ferroelectric materials for ultra-low-power electronics and advanced MEMS integration.

Qin WangView profile

Professor

• Food Science
• Nanotechnology
• Food Chemistry
• +7 more

Dr. Qin Wang is a Professor in the Department of Food Science and Human Nutrition at the University of Maryland, College of Agriculture and Natural Resources. His expertise spans Food Nanotechnology, Food Polymers Biophysics, and Food Chemistry. Dr. Wang holds a Ph.D. in Food Science/Food Engineering from the University of Illinois at Urbana-Champaign, an M.S. in Environmental Chemistry from Nanjing University, and a B.S. in Environmental Chemistry from Nanjing University. His research focuses on three core areas: 1) Design of nano-scale delivery systems for drug and bioactives in regenerative medicine, 2) Nanotechnology applications in food science to study component interactions, and 3) Development of nano-sensors for food safety. He teaches courses such as NFSC112 (Food Science and Technology), NFSC422 (Food Product Development), and NFSC633 (Food Polymer Science). Dr. Wang’s work emphasizes sustainable solutions like chitin-based substrates for vertical farming and antimicrobial packaging using food proteins. His innovations include cyclodextrin-modified green tea extracts and AI-driven food analytics systems. Recent studies explore microgreens' phytonutrient profiles under different lighting conditions and quantum dot applications for contamination detection. His research portfolio includes over 100 peer-reviewed articles spanning 2015–2025, covering topics like nanocomposite packaging, chlorine demand in produce washing, and electrochemical immunoanalysis. Collaborative projects involve material science, microbiology, and computer science disciplines.

Rigoberto AdvinculaView profile

Professor

• Polymers
• Nanomaterials
• 3D Printing
• +7 more

Rigoberto Advincula is the Governor’s Chair Professor at the University of Tennessee, Knoxville and Oak Ridge National Laboratory (ORNL), holding positions in the Department of Chemical and Biomolecular Engineering, Materials Science and Engineering, and Mechanical, Aerospace, and Biomedical Engineering. He also serves as an Adjunct Professor at Case Western Reserve University. His research focuses on advanced materials, including polymers, nanomaterials, and nanocomposites, with applications in 3D printing, energy, and biomedical engineering. Education: Ph.D. in Chemistry (1994), University of Florida B.S. in Chemistry (1987), University of the Philippines Postdoctoral Research at Stanford University and Max Planck Institute Research Interests: Design and characterization of functional polymers and nanomaterials for smart coatings, stimuli-responsive systems, and energy materials. His work spans nanotechnology, 3D printing, and sustainable materials science. He leads projects on hybrid materials, corrosion-resistant coatings, and additive manufacturing. Awards: Fellow, National Academy of Inventors International Prize, Society of Polymer Science (Japan) Fellowships from Royal Society of Chemistry, ACS, and others Over 23,000 citations and an H-index of 81 Grants & Leadership: Led DOE-funded projects on fiber composites and biomaterials. Served as Editor-in-Chief of MRS Communications and Chair of the American Chemical Society’s Polymer Chemistry Division. Active in professional societies like MRS and AAAS. Labs & Teams: Leads the Macromolecular Nanomaterials Group at ORNL’s Center for Nanophase Materials Sciences. Collaborates across disciplines, mentoring students in STEM and guiding interdisciplinary research initiatives.

Yong Lin KongView profile

Assistant Professor

• Additive Manufacturing
• Nanomaterials
• Biomedical Devices
• +4 more

Yong Lin Kong is an Assistant Professor in the Department of Mechanical Engineering at Rice University. Previously, he held an Associate Professor position with tenure at the University of Utah before joining Rice in 2024. He earned his Ph.D. from Princeton University in 2016 and completed a postdoctoral fellowship at MIT. His research focuses on additive manufacturing of nanomaterial-based functional devices and biomedical systems, with a particular emphasis on 3D-printed bioelectronics and gastric resident electronics. Kong’s work addresses unmet clinical needs through innovative fabrication techniques and material integration. He has been recognized with prestigious awards such as the ONR Young Investigator Program Award, NIH Trailblazer Award, and MIT Technology Review Innovators Under 35 Asia Award. His research is supported by sponsors including the Office of Naval Research, NIH, and the Department of Defense. The Kong Research Group develops multiscale 3D printing methods to create devices with unprecedented functional integration, targeting applications in wearable systems, ingestible robotics, and smart medical sensors. In education, Kong is a recipient of the University of Utah’s Top Undergraduate and Graduate Teaching Awards. His lab collaborates on projects involving functional nanomaterials, medical device prototyping, and advanced manufacturing technologies. Current research themes include diffusiophoresis-enhanced particle deposition, soft electronics, and autonomous robots for confined spaces.

Geoff WehmeyerView profile

Assistant Professor

• Nanoscale Heat Transfer
• Thermal Property Measurements
• Nanomaterials
• +5 more

Geoff Wehmeyer is an Assistant Professor in the Department of Mechanical Engineering at Rice University, leading the Nanoscale Heat Transfer Lab. He specializes in experimental and theoretical studies of heat transfer mechanisms in nanomaterials and designs thermal management systems. His work bridges mechanical engineering, nanoscience, and materials science to address challenges in electronics cooling, energy conversion, and thermal control. Dr. Wehmeyer earned a B.S. in Mechanical Engineering from the University of Texas at Austin (2013) and a Ph.D. from the University of California, Berkeley (2018), supported by NSF and Berkeley Graduate Fellowships. His research focuses on thermal property measurements, nanoscale thermometry via electron microscopy, and nonlinear thermal systems. Notable projects include developing ultra-high resolution temperature mapping tools and designing magnetic thermal diodes for building insulation. His scientific awards include the CTE Faculty Fellow (2021–2027), the Sophia Meyer Farb Prize for Teaching (2021), and the NASA Early Career Faculty Award (2019). His lab’s research emphasizes translating fundamental thermal insights into macroscopic technologies, such as energy-efficient thermal regulators and high-conductivity nanomaterials.

Yimo HanView profile

Assistant Professor

• Electron Microscopy
• Nanomaterials Characterization
• Cryo-EM in Structural Biology
• +6 more

Dr. Yimo Han is an Assistant Professor in the Department of Materials Science and NanoEngineering at Rice University. She holds a B.S. in Physics from Tsinghua University (2012) and a Ph.D. in Applied Physics from Cornell University (2018). Her research focuses on advanced electron microscopy techniques to study nanomaterials, biomaterials, and interfaces at the atomic scale. Key areas include 2D material characterization, cryo-EM for structural biology, and applications in clean energy, biosensing, and next-generation electronics. Education: Ph.D., Applied Physics, Cornell University, 2018 B.S., Mathematics and Physics, Tsinghua University, 2012 Research emphasizes multi-dimensional microscopy to explore material systems such as van der Waals heterostructures, ferroelectric domains, and catalytic nanoparticles. Her lab develops novel synthesis methods (e.g., flash Joule heating) and analytical frameworks like the PEAR automation tool for ptychography. Current projects include operando electrochemical imaging, strain engineering in nanocatalysts, and PFAS mineralization through carbon-based materials. Collaborations span materials science, biology, and engineering, with recent work on neuromorphic computing materials and fast-charging battery interfaces. The Han Lab is part of Rice's interdisciplinary materials innovation ecosystem, emphasizing scalable synthesis and real-world applications.

Lane W. MartinView profile

Professor

• Materials Science
• Ferroelectric Materials
• Multiferroics
• +3 more

Lane W. Martin is the Robert A. Welch Professor at Rice University and Director of the Rice Advanced Materials Institute. He holds joint appointments in the Departments of Materials Science & NanoEngineering, Chemistry, and Physics and Astronomy. Previously, he served as Chancellor’s Professor and Chair of Materials Science and Engineering at UC Berkeley, and as a Faculty Senior Scientist at Lawrence Berkeley National Laboratory. His research focuses on synthesizing and characterizing complex oxides to explore emergent functionalities like ferroelectricity and multiferroicity, with applications in nanotechnology and energy storage. Education: B.S. in Materials Science from Carnegie Mellon (2003), M.S. and Ph.D. from UC Berkeley (2006–2008). Postdoctoral research at Lawrence Berkeley National Laboratory (2008–2009). Research interests include epitaxial thin films, strain engineering, and defect-driven material behavior. His work bridges experimental and theoretical approaches, yielding over 300 publications and an h-index of 78. Key contributions include discovering tunable relaxor behavior in oxide superlattices and developing methods for nanoscale domain control. Awards: Fellowships from MRS (2024), ACerS (2023), and APS (2022); Presidential Early Career Award (2014); NSF CAREER Award (2012). Active in professional societies including IEEE UFFC and APS. Leadership: Served as Vice Chair and Chair of UC Berkeley’s Materials Science Department, and as elected Secretary/Chair of the UC Berkeley Engineering Faculty. Currently advises on the Defense Science Study Group (2022–2024). Lab focus: The Martin Research Group at Rice explores functional oxides, with recent emphasis on polar vortices, antiferroelectric materials, and AI-driven microscopy. Collaborates across disciplines in physics, chemistry, and engineering.

Rachel KurchinView profile

Research Professor

• Computational Materials Science
• Electronic Structure Theory
• Data Science
• +5 more

Rachel Kurchin is an Assistant Research Professor in the Materials Science and Engineering Department at Carnegie Mellon University's College of Engineering. She is a faculty affiliate of the Scott Institute for Energy Innovation and a member of the Pittsburgh Quantum Institute. Kurchin leads the Accelerated Computation of Materials for Energy (ACME) group and serves as an editor of the Journal of Open Source Software. Ph.D. in Materials Science and Engineering from MIT (2019) M.Phil. in Materials Science and Metallurgy from Cambridge (2014, supported by Gates Cambridge Scholarship) B.S. in Physics (intensive) from Yale (2013) Dr. Kurchin is a computational materials scientist whose research focuses on using electronic structure theory, data science, and energy device modeling to address climate crisis challenges. Her work spans artificial intelligence applications in materials science , materials computation and informatics , and sustainable energy production, conservation, and storage . She develops scientific codes that bridge computational methods with practical energy solutions, with particular emphasis on making computational materials science more reproducible and accessible. Analysis of her recent publications reveals a strong focus on computational methods for materials discovery, particularly in electrochemical systems and 2D materials. Her work integrates Bayesian statistics for uncertainty quantification, machine learning for materials discovery, and first-principles calculations for understanding material properties. A notable trend is her increasing focus on reproducibility in computational science, reflecting her active participation in initiatives to improve research standards in condensed matter physics. Gates Cambridge Scholarship Blue Waters Graduate Fellowship Manufacturing Futures Initiative Fellowship MolSSI Faculty Fellow (2024) Scientific Software Research Faculty Award from Simons Foundation Dr. Kurchin advises students and researchers working at the intersection of computational methods and energy materials. She collaborates with CBI fellow Evan Spotte-Smith on electrochemical ammonia synthesis research as part of her work with the Carnegie Bosch Institute. Her research is supported by fellowships from CMU's Manufacturing Futures Initiative, the Molecular Sciences Software Institute, and the Simons Foundation. She actively participates in shaping research standards, having contributed to discussions at the International Conference on Reproducibility in Condensed Matter Physics. Dr. Kurchin leads the ACME (Accelerated Computation of Materials for Energy) research group at CMU, which focuses on developing computational approaches to accelerate materials discovery for energy applications. The group works at the intersection of computational materials science, machine learning, and energy systems engineering, with particular emphasis on making computational research more reproducible and accessible to the broader scientific community.

• Machine Learning
• Artificial Intelligence
• Bioinformatics
• +7 more

Eric Poe Xing is a Professor at Carnegie Mellon University's School of Computer Science, holding joint affiliations with the Machine Learning Department, Language Technology Institute, and Computer Science Department. He also serves as President of the Mohamed bin Zayed University of Artificial Intelligence. His research focuses on machine learning methodology, statistical systems, and large-scale computational architectures, with recent work on foundation models for biology (AIDO), world/agent models (PAN), and open-source LLM initiatives (LLM360). He advises numerous students and postdocs in areas like AI, NLP, and computational biology. He teaches graduate courses in Machine Learning and Probabilistic Graphical Models, and actively contributes to academic leadership roles, including ICML program chairs and editorial boards. Research interests span automated reasoning, AI ethics, and scalable computing. His lab, SAILING, develops cutting-edge models for vision-language tasks, bioinformatics, and multi-modal learning. Notable projects include LLM360's open-source AGI efforts and innovations in distributed ML systems. His work emphasizes interdisciplinary applications, from healthcare decision-support (PetuumMed) to climate modeling (ClimSatDiff).

• Supramolecular Chemistry
• Crystal Engineering
• Metal-Organic Frameworks
• +2 more

Christopher Richardson is Associate Professor in the School of Chemistry and Molecular Bioscience at the University of Wollongong. He holds a PhD from the University of Canterbury and completed postdoctoral training at University of Bath, Auckland Medical Research Foundation, and University of California, Riverside. His research applies supramolecular chemistry and crystal engineering to develop functional materials with applications in sensing, catalysis, and nanomedicine. Current projects focus on metal-organic frameworks, molecular recognition systems, and catalytic nanomaterials. Recent publications demonstrate innovations in heterocyclic synthesis methodologies and functional material design. Richardson's group develops novel synthetic pathways for complex molecular architectures with tailored properties. Supervises PhD candidates working on nickel catalysis, MOF post-synthetic modification, radical frameworks, and photocatalytic systems. Secured ARC funding for charge-controlled separation materials and automated synthesis platforms.

Lei CuiView profile

Senior Lecturer

• Robotics
• Mechatronics
• Biorobotics
• +2 more

Lei Cui is a Senior Lecturer in Mechatronics at Curtin University's School of Civil and Mechanical Engineering, where he heads the Biorobotics Research Lab. He holds a PhD in Engineering (Robotics) from King's College London and was a Postdoctoral Fellow at Carnegie Mellon University's Robotics Institute. Research focuses on robotics and mechatronics with applications in biomedical engineering and environmental monitoring. Key areas include: rehabilitation robotics (exoskeletons for hand/knee function), underwater bio-inspired sensing systems, robotic manipulation via rolling/sliding contact, and neural-adaptive control systems. Recent projects integrate AI for soil carbon analysis and attention-based rehabilitation. Publications emphasize interdisciplinary innovation, with trends showing progression from fundamental kinematics (2015-2017) to AI-enhanced biomedical applications (2018-2022). Notable methodological advances include neural control frameworks, biomimetic sensor designs, and optimization techniques for assistive devices. Awards include: Editors' Choice Award, Journal of Mechanical Design (ASME 2018) IEEE/RSJ IROS Best Paper Finalist (2016) Curtin University Commercial Innovation Award (2015) Laboratory work centers on the Biorobotics Research Lab, focusing on human-robot interaction and neuromotor devices. No students or grants are detailed in provided materials.

• Live computer music
• Musical artificial intelligence
• Computational musicology
• +3 more

Nick Collins is a Professor in the Department of Music at Durham University specializing in live computer music, musical artificial intelligence, and computational musicology. He is an active international performer as a composer-programmer-pianist, working across genres from algoraves to electronic chamber music. His research interests include algorithmic composition, machine listening, audio database analysis, and historical electronic music. Collins has authored significant publications including co-editing 'The Cambridge Companion to Electronic Music' and 'The SuperCollider Book', and writing 'Introduction to Computer Music' and 'Electronic Music'. His recent publications demonstrate interdisciplinary work combining artificial intelligence with music creation, including AI voice modeling, audio corpus studies, and algorithmic criticism. Research trends show strong focus on computational analysis of musical works, generative systems development, and innovative applications of machine learning to music composition and analysis. Collins currently supervises PhD student Andrew Brown. His creative practice includes frequent performances and compositions utilizing novel computer music techniques.