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
David W. Jacobs is a Professor in the Department of Computer Science at the University of Maryland, with a joint appointment at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He also served as the interim Director of the University of Maryland Center for Machine Learning starting in 2018. University: University of Maryland School: College of Computer, Mathematical, and Natural Sciences Department: Department of Computer Science Academic Rank: Professor Education: He received his B.A. from Yale University, and M.S. and Ph.D. in Computer Science from MIT. Research Interests: His research primarily focuses on computer vision and machine learning, particularly visual object recognition, lighting variation modeling, 3D reconstruction, perceptual organization, motion understanding, and the integration of vision with graphics and human-computer interaction. A major applied contribution is the development of Leafsnap , an electronic field guide app for plant identification, which has been downloaded over 1.5 million times and used in biodiversity and educational contexts. Publication Trends: His recent scholarly output centers on deep learning, convolutional networks, residual architectures, generative models (especially GANs), and interpretability. His work often bridges theoretical insights with practical applications in vision and AI. Scientific Awards: Honorable Mention, Best Paper Award, CVPR 2000 Best Student Paper Award, UIST 2003 Best Paper Award, Eurographics 2016 2011 Edward O. Wilson Biodiversity Technology Pioneer Award for Leafsnap Teaching and Advising: He has taught advanced courses such as CMSC 422 (Introduction to Machine Learning) and CMSC 828L (Deep Learning). He mentors students through course projects and research, though specific advisees are not listed. He has collaborated with institutions like Columbia University and the Smithsonian on impactful interdisciplinary projects. Labs and Teams: He is affiliated with UMIACS and leads research efforts in vision and learning, contributing to the University of Maryland Center for Machine Learning. His team has developed several mobile applications including Leafsnap, Birdsnap, and Dogsnap, demonstrating a strong focus on real-world deployment of vision technology.
Hugo de Lasa is a Full Professor at the Department of Chemical and Biochemical Engineering, Faculty of Engineering, University of Western Ontario. He holds a Bachelor in Chemical Engineering (1968) from Universidad Nacional del Sur, Argentina, and a Doctoral degree (1971) from Université de Nancy, France. Research Focus: Catalysis, Photocatalysis, Chemical Reactor Engineering, Fluidization, Biomass Gasification Awards: Research Excellence Prize (1998), Fellow of the Chemical Institute of Canada (2000), Medal of Research and Development (2000), Doctor Honoris Causa (2004, 2018) His work spans chemical reactor design , photocatalytic hydrogen production , and fluidized bed technologies . Recent publications highlight machine learning applications in chemical equilibrium modeling and CO2 capture using microalgae. He founded the Chemical Reactor Engineering Centre (CREC) and Recat Technologies Inc. , a university spin-off commercializing reactor innovations. Awards include the Vanguard Award (2019) and Commemorative Issue in Catalysts Journal (2020). His research has generated 389 peer-reviewed publications , 14 patents , and over 10,000 citations .
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.
Dr. Can Bayram is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He serves as a resident faculty member at the Nick Holonyak, Jr. Micro and Nanotechnology Laboratory and leads the Innovative Compound Semiconductor Laboratory (ICORLAB). His research focuses on semiconductor technologies, particularly cubic GaN and diamond-based devices for next-generation electronics and photonics. Current research includes cubic GaN quantum wells for green LEDs Diamond semiconductor devices for high-power applications Photonic technologies and nanoscale device fabrication Investigation of efficiency cliff phenomena in micro-LEDs Recent Article Trends : His work spans photonic devices, power electronics, and nanoscale systems, with particular emphasis on diamond photoconductive switches and cubic GaN efficiency improvements. Notable contributions include record-breaking diamond diodes and efficiency droop mitigation in green LEDs. Scientific Awards : IEEE Electron Devices Society Early Career Award NSF CAREER Award AFOSR Young Investigator Award Dean's Award for Early Innovation (2024) SPIE Fellow (2025) Editor's Pick & Front Cover Article, Applied Physics Letters (2024) Dr. Bayram teaches courses in electronics, including ECE 110: Introduction to Electronics, ECE 443: LEDs and Solar Cells, and ECE 500: ECE Colloquium.
Steven Rogak is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. He holds a P.Eng. license and degrees including a B.A.Sc. in Mechanical Engineering from UBC, and M.Sc. and Ph.D. from Caltech. P.Eng., University of British Columbia B.A.Sc., University of British Columbia M.Sc., Ph.D., California Institute of Technology His research focuses on aerosol science, particularly solid nanoparticles from combustion processes, their climate and health impacts, and mitigation strategies. Key areas include: Soot morphology and transport properties Engine emission reduction via fuel injectors Indoor air filtration systems Membrane-based energy exchangers Atmospheric particulate analysis The 15 most recent articles span experimental and theoretical studies on soot characterization, membrane technologies, and aerosol dynamics, with applications in climate modeling, healthcare ventilation, and sustainable materials. Collaborations include Westport Innovations and interdisciplinary teams. Rogak leads the Aerosol Laboratory at UBC, where he applies fluid mechanics and heat transfer fundamentals to address environmental and health challenges. He emphasizes experimental rigor and welcomes graduate students with expertise in these areas.
Xiaoming Liu is the Anil K. and Nandita Jain Endowed Professor of Engineering and MSU Foundation Professor in the Department of Computer Science and Engineering at Michigan State University . Holding a Ph.D. from Carnegie Mellon University (2004), he leads cutting-edge research in computer vision and machine learning. Research Interests : Computer Vision Pattern Recognition Image and Video Processing Machine Learning Medical Image Analysis Multimedia Retrieval Recent Research Trends : Focus on 3D object detection and depth estimation Development of robust biometric recognition systems Integration of radar-camera fusion for autonomous systems Advancements in self-supervised and multimodal learning Exploration of adversarial AI security Creation of interpretable forgery detection frameworks Teaching : Spring 2013: CSE891-006 Computer Vision Seminar Fall 2012-2015: CSE803 Computer Vision Spring 2014-2017: CSE 471 Media Processing and Multimedia Contact Information : Email: liuxm@cse.msu.edu Office: EB 3137, Michigan State University Phone: +1 (517) 355-2359
Dr. Yogambha Ramaswamy is a Senior Lecturer in the School of Biomedical Engineering at The University of Sydney and a member of the Sydney Nano Institute. She holds a Master’s in Biotechnology from the University of Queensland and a PhD in Biomedical Engineering from the University of Sydney (2009). Her postdoctoral career began as a Vice-Chancellor’s Postdoctoral Research Fellow at the University of New South Wales, followed by a Peter Doherty Early Career Fellowship in 2013 before joining the University of Sydney in 2015. Dr. Ramaswamy’s research focuses on biomaterials, tissue engineering, and mechanobiology, with a particular emphasis on developing calcium silicate-based ceramics and biopolymers for orthopedic and regenerative applications. Her recent work explores the role of physical cues in modulating stem and cancer cell behavior. She teaches courses such as AMME1961 (Introduction to Biomedical Engineering B) and AMME5962 (Introduction to Mechanobiology). Her research has been supported by grants including the NHMRC Early Career Fellowship and collaborations with institutions like the CSIR-Indian Institute of Chemical Technology and the University of Otago. Her publications span biomaterials, nanotechnology, and mechanobiology, with recent work addressing atherosclerosis, hydrogel design, and nanomedicine. She currently supervises PhD students Frank (biomaterials) and Alexander (atherosclerosis research).
Thomas Faulkner is an Associate Professor in the Department of Physics at the University of Illinois at Urbana-Champaign, where he has been a faculty member since 2014. His research bridges condensed matter physics, high energy physics, and quantum information science through the framework of holographic duality (AdS/CFT correspondence), exploring connections between quantum field theories and gravitational theories. Dr. Faulkner received his BSc in Physics from the University of Melbourne in 2003 and his PhD from MIT in 2009 under Hong Liu and Krishna Rajagopal. He held postdoctoral positions at the Kavli Institute for Theoretical Physics (2009-2012) and the Institute for Advanced Study in Princeton (2012-2013) before joining the Illinois faculty. His primary research focuses on three interconnected areas: entanglement entropy as a tool to study quantum phases and gravity; string-inspired models of strongly correlated phenomena including non-Fermi liquids and quantum criticality; and holographic approaches to QCD under extreme conditions. His work leverages theoretical tools from both condensed matter and string theory communities to address fundamental questions in quantum gravity and many-body physics. Dr. Faulkner's publication record shows an evolving research trajectory from early work on strange metal transport and QCD applications toward increasingly sophisticated investigations of entanglement structure, quantum information aspects of holography, and fundamental constraints on quantum field theories. His recent work demonstrates deep connections between quantum information theory, gravitational physics, and condensed matter phenomena. DOE Early Career Award (2018) DARPA Young Faculty Award (2015) Dr. Faulkner has taught a comprehensive range of physics courses from undergraduate College Physics to advanced graduate-level field theory courses. His research program receives significant external funding, supporting his investigations into the quantum structure of spacetime and its connections to condensed matter phenomena. He participates in a vibrant research ecosystem exploring the quantum information foundations of spacetime geometry, contributing to collaborative efforts that are reshaping our understanding of the relationship between quantum mechanics and gravity.
Yan Liu is a full professor in the Thomas Lord Department of Computer Science at the University of Southern California (USC), serving as Director of the USC Machine Learning Center within the Viterbi School of Engineering. He holds courtesy appointments in the Ming Hsieh Department of Electrical Engineering and the Quantitative and Computational Biology Department. Before joining USC in 2010, he was a research staff member at IBM's T.J. Watson Research Center. He earned his M.S. and Ph.D. from Carnegie Mellon University. His research focuses on machine learning for time series, physics-informed AI, and interpretable models, with applications in healthcare, sustainability, and social media. Notable projects include developing AI for surgical training, analyzing misinformation on social platforms, and predicting cancer treatment outcomes. He has held leadership roles in top conferences like ICLR and ACM KDD, and serves as Associate Editor-in-Chief of TPAMI and Board Member of ICLR. Education: Ph.D., Carnegie Mellon University Affiliations: USC Machine Learning Center, Viterbi School of Engineering Service: General Chair (ICLR 2023, ACM KDD 2020), Program Chair roles across multiple conferences His lab, the Melady Group, emphasizes foundational ML advancements and interdisciplinary applications. Recent work includes physics-aware neural networks and time-series foundation models.
Professor Jasper van Wezel is a distinguished academic in the field of Condensed Matter Theory at the University of Amsterdam's Faculty of Science, where he serves as Professor in the Institute for Theoretical Physics (ITFA) within the Institute of Physics. With a career spanning over two decades, he has progressed from Assistant Professor (2014-2016) to Associate Professor (2016-2024) and currently holds the position of Professor since 2024. His academic journey began with a PhD in theoretical condensed matter physics from Leiden University in 2007, followed by prestigious fellowships at Argonne National Laboratory and Homerton College, Cambridge. PhD in theoretical condensed matter physics (cum laude), Leiden University, 2007 Master's diploma in theoretical condensed matter physics (cum laude), Leiden University, 2003 Dutch VWO Diploma (cum laude), Dalton Scholengemeenschap, Den Haag, 1997 US High School Diploma (cum laude), Sanford High School, Maine, USA, 1998 Professor van Wezel's research focuses on several interconnected areas within Condensed Matter Theory. His work explores competing instabilities in Charge Density Wave materials, including Superconductivity and Charge Order, Combined Charge and Orbital Order, and Transition-metal dichalcogenides. He has made significant contributions to Topology in Condensed Matter, particularly examining the Role of crystal symmetries and Topology in non-Hermitian systems. A major theme in his research involves investigating the Connections between Quantum and Classical behaviour, with special emphasis on Spontaneous Symmetry Breaking both in equilibrium (The role of the Thin Spectrum) and dynamically (Spontaneous loss of Unitarity). Analysis of Professor van Wezel's recent publications reveals a strong focus on quantum phenomena in condensed matter systems, with particular attention to topological aspects, symmetry breaking, and connections to fundamental physics concepts like black hole thermodynamics. His work often bridges theoretical concepts with potential experimental realizations, as evidenced by studies on electron patterns in materials like TaS2 and theoretical frameworks for understanding quantum phase transitions. Bristol Physics Teaching Award (2014) Students' Award for Outstanding Teaching (2014) Fellow of the Higher Education Academy (2014) Aneesur Rahman Fellowship at Argonne National Laboratory (2010-2012) Junior Research Fellowship at Homerton College, Cambridge (2007-2010) Physics 'Discovery of the year' by Leiden University Physics department (2005) 'Onderwijsprijs Natuurkunde' teaching award (2004/2005) Professor van Wezel has secured numerous research grants including an ENW-M grant (2023), an ENW-Groot project with Leiden University (2021), and a prestigious VIDI personal grant from NWO (2014). He has supervised over 50 students at various levels, including PhD candidates, MSc students, and BSc students, fostering the next generation of physicists. His leadership extends to organizing conferences, serving on PhD committees, and holding administrative roles such as chair of the educational committee for the Dutch Research School in Theoretical Physics. His research group at the University of Amsterdam's Institute for Theoretical Physics maintains active collaborations with institutions worldwide, including Leiden University, University of Cambridge, University of Bristol, and research centers in France, Germany, and Poland. The group's work combines analytical theoretical approaches with computational methods to tackle fundamental questions in quantum condensed matter physics.
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.
Prof. Marc Stamminger is a Professor of Visual Computing at FAU since 2002, leading the Chair of Computer Science 9 (Computer Graphics). His work focuses on algorithms for synthesizing and analyzing images through 3D modeling, LiDAR/Radar capture, and light simulation. He co-leads FAU Solar, applying 3D modeling for environmental lighting analysis under varying conditions. Stamminger has published over 250 papers, winning prestigious awards like the Siggraph Test-of-Time Award. He holds executive roles in Eurographics and is Vice Dean of FAU's Technical Faculty. Research interests span neural rendering , 3D reconstruction , radar imaging , and medical visualization . Recent work emphasizes radiance field rendering (e.g., VR-Splatting, INPC) and radar-based human motion tracking. His lab's FAU Solar project integrates large-scale 3D models with environmental lighting simulations. Publications trends highlight neural rendering optimizations , radar-MIMO systems , and agricultural digital twins . Key collaborations involve medical imaging (e.g., vocal fold reconstruction) and autonomous driving data generation. Awards: Siggraph Test-of-Time (2023?), 2× Siggraph Best-Of-Show Grants/Teams: FAU Solar Lab, Eurographics leadership, FAU Vice Dean Labs: Chair of Computer Science 9, FAU Solar Initiative
David Vocadlo is a Distinguished Professor of Chemistry and Molecular Biology & Biochemistry at Simon Fraser University (SFU), holding the Canada Research Chair in Chemical Biology. His research focuses on Chemical Glycobiology, investigating carbohydrate-processing enzymes and developing chemical tools to study glycan roles in health and disease. His lab explores O-GlcNAc signaling, neurodegenerative disorders (e.g., Alzheimer’s, Parkinson’s), and enzyme inhibitors for therapeutic applications. Education: PhD from University of British Columbia (UBC), followed by a CIHR postdoctoral fellowship at UC Berkeley. Key roles include E.W.R. Steacie Memorial Fellow and Royal Society Fellow. Research highlights include O-GlcNAcase inhibitors for neuroprotection, glycan structure-function relationships, and enzyme activity imaging tools. Collaborates globally with experts in glycobiology and employs cutting-edge techniques like chemical synthesis, mass spectrometry, and live-cell imaging. Awards: Distinguished Professor title, Canada Research Chair, Royal Society Fellowship. Active in training researchers through SFU’s graduate programs, emphasizing interdisciplinary approaches. Lab members work on topics ranging from enzyme mechanisms to disease modeling.
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.
