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Professor Kevin Kittilstved is a faculty member in the Department of Chemistry at Washington State University. His research focuses on chemically controlling the properties of inorganic materials through colloidal synthesis and advanced spectroscopic techniques. He earned his B.S. in Chemistry from Gonzaga University (2001), Ph.D. from the University of Washington (2006), and completed postdoctoral studies at the University of Washington (2010) and Université de Genève (2006–2010). Research interests include nanocrystal synthesis, semiconductor doping, and electronic structure analysis using techniques like X-ray diffraction and magneto-optical spectroscopy. His work explores applications in energy storage, electronics, and materials design. Key contributions include studies on ZnO nanocrystals, SrTiO3 systems, and molecular nanomagnets. Publications emphasize tunable electronic properties, dopant effects, and nanocrystal design. Advising has prepared students for careers in academia, industry, and engineering. His Kittilstved Lab supports interdisciplinary exploration of functional materials.

• Inorganic Materials Chemistry
• Nanocrystal Synthesis
• Semiconductors
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Kayla Nguyen is an Assistant Professor in the Department of Physics at the University of Oregon, affiliated with the College of Arts and Sciences. Her research focuses on advancing electron microscopy techniques, particularly ptychography, to study magnetism, topology, and material properties at the angstrom scale. She leads the kxnlab , which develops innovative imaging methods for topological materials, magnetic textures, and nanoscale systems. Key research interests include high-resolution imaging beyond diffraction limits, cryo-electron microscopy for biological specimens, and quantitative analysis of magnetic materials using 4D-STEM and Lorentz microscopy. Her work integrates computational approaches with experimental techniques to address challenges in material characterization and structural analysis. Nguyen’s publications highlight advancements in ptychography, sub-angstrom resolution, and imaging chiral magnetic systems. Her research often bridges fundamental physics with applications in nanotechnology, materials science, and art conservation (e.g., analyzing pigments in historical artworks). Advising and grants: While specific grant details are not listed, her research aligns with cutting-edge microscopy and materials science initiatives. She mentors graduate students in experimental and theoretical projects related to her lab’s focus areas. Labs/teams: The kxnlab collaborates with interdisciplinary groups to pioneer microscopy innovations, including air-compatible electron microscopy and pixel array detector technologies.

• Electron Microscopy
• Ptychography
• Magnetism
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Robert McLeod is the Richard & Joy Dorf Endowed Professor in the Department of Photonics & Quantum Engineering at the University of Colorado. His research focuses on advanced materials and technologies for photonics, holography, and additive manufacturing. Key areas include the design of holographic photopolymers, volumetric 3D printing, and high-performance optical materials. He has pioneered innovations in thiol-ene chemistry for dynamic polymer networks and developed methodologies for precision manufacturing techniques like parallax manufacturing and latent image volumetric additive manufacturing. His work bridges materials science, optics, and engineering, with applications in biomedical devices, environmental sensors, and next-generation optical systems. Education details are not explicitly provided in the text. Current research emphasizes optimizing material properties for 3D printing, enhancing holographic storage, and creating bio-inspired materials for medical applications. McLeod’s contributions span over 50 peer-reviewed articles since 2018, with a strong focus on interdisciplinary approaches to manufacturing and photonics. His lab develops cutting-edge solutions for challenges in refractive index control, occlusion management in additive manufacturing, and high-precision optical component fabrication. Notable advancements include the suppression of parasitic reflections using elastomeric films, the integration of self-healing electronics for plant monitoring, and the synthesis of biodegradable resins for 3D-printed biomaterials. McLeod collaborates on projects such as photosensitive materials development and the creation of gradient-index lenses via digital light processing. His work is supported by strategic initiatives aligning with the University of Colorado’s focus on quantum engineering and advanced manufacturing technologies.

• Photonics
• Holographic Materials
• Additive Manufacturing
• +4 more

Christina M. Rost is an Assistant Professor in the Department of Materials Science and Engineering at Virginia Polytechnic Institute and State University (Virginia Tech) , part of the College of Engineering . She holds a Ph.D. in Materials Science and Engineering from North Carolina State University (2016), following a B.S. and M.S. in Physics from Indiana University of Pennsylvania. Prior to joining Virginia Tech, she served as an Assistant Professor of Physics at James Madison University. Research Focus: Atomic-level disorder in ceramics, particularly high entropy and compositionally complex systems. Key Techniques: X-ray absorption/emission spectroscopy, multi-length-scale characterization. Applications: Functional materials for extreme environments, energy, and electronics. Research Interests include designing materials with tunable properties via controlled disorder, leveraging high entropy oxides and amorphous systems. Her work integrates advanced spectroscopy, computational modeling, and machine learning to accelerate materials discovery. Recent emphases include understanding local structure- property relationships in entropy-stabilized oxides and spinel ferrites. Publications reflect a focus on high entropy materials' synthesis, thermal stability, magnetic behavior, and functional applications. Notable trends include: (1) exploring cation roles in rock salt oxides, (2) optimizing thin film growth for pyroelectric applications, and (3) studying phase evolution under thermal/mechanical stress. Scientific Awards : 2023 Provost Award for Excellence in Research (James Madison University) 2017 Postdoctoral Teaching Fellowship (University of Virginia) 2015 First Place, Best Student Presentation (ACerS) Lab Team includes 5 graduate students (e.g., John Barber, Gerald Bejger), 4 undergraduates, and former members now at institutions like Pratt & Whitney. Lab Facilities : Located in Holden Hall, equipped with state-of-the-art characterization tools.

• High Entropy Ceramics
• Compositionally Complex Materials
• Bulk and Thin Film Synthesis
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Chirag Gupta is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin, Madison, affiliated with the College of Engineering and Materials Science & Engineering. His research focuses on wide-band-gap (GaN, SiC) and ultra-wide-band-gap (GaOx, C) semiconductor materials and devices, addressing challenges in power electronics, communications, bio-electronics, and quantum applications. He designs novel devices like transistors, diodes, LEDs, and lasers using advanced fabrication techniques and material characterization. Education includes a Ph.D. (2018) and M.S. (2016) from UC Santa Barbara, and a B.Tech. (2013) from IIT Kanpur. He has taught courses including ECE 548 (Integrated Circuit Design), ECE 340 (Electronic Circuits I), and various research supervision courses. Research interests span semiconductor device physics, optoelectronics, and quantum applications. Recent work emphasizes high-voltage HEMTs, UV lasers, and GaN-based devices. Articles highlight advancements in quantum dots, heterojunction diodes, and strain-engineered materials. Key Awards: 2024 Early Career Innovator Award (UW-Madison), 2020 IEEE Best Paper Award, 2019 SSLEEC Outstanding Researcher Award. Grants include the Air Force Office of Scientific Research DEPSCoR Award (2023) and Wisconsin Alumni Research Foundation Electrification Challenge (2022). He advises students on semiconductor fabrication, device modeling, and characterization techniques. Collaborative efforts involve lattice engineering for III-nitride devices and Ga2O3-based power electronics.

• Wide-Band-Gap Semiconductors
• Ultrawide-Band-Gap Materials
• GaN and GaOx Devices
• +5 more

Richard West is a Professor and Associate Chair for Research in the Department of Chemical Engineering at Northeastern University's College of Engineering. He joined the department in Fall 2011 and has established himself as a leading researcher in computational chemical engineering, with a focus on microkinetic modeling and reaction mechanism generation. Education: B.A., M.Eng. (Chemical Engineering), University of Cambridge, 2004 Ph.D. (Chemical Engineering), University of Cambridge, 2009 Postdoctoral Research Associate, Massachusetts Institute of Technology, 2008-2011 Professor West's research primarily focuses on the development of detailed microkinetic models for complex reacting systems. His approach involves automating the discovery of reaction pathways and the calculation of key parameters using ab initio quantum chemistry calculations. This work spans applications in combustion, heterogeneous catalysis, electrochemical synthesis, and bio-fuel processing. His research group has developed computational tools that link microkinetic models to multi-scale reactor system models, enabling comprehensive process understanding and optimization. The ultimate goal of this research is to contribute to catalyst design and discovery through predictive modeling, with particular emphasis on creating computational frameworks that can accelerate innovation in catalytic processes. His recent publications demonstrate a strong trend toward automation and integration of computational methods in chemical kinetics. West's work increasingly combines machine learning approaches with traditional quantum chemistry calculations to accelerate reaction pathway discovery and parameter estimation. There's a clear progression from fundamental microkinetic modeling toward integrated systems that connect molecular-scale phenomena with reactor-scale performance, reflecting his vision of creating end-to-end computational frameworks for catalytic process design. Scientific Awards: 2025 Outstanding Faculty Service Award 2021 College of Engineering Faculty Fellow 2018 NSF CAREER Award 2017 Dick Sioui Teaching Award in Chemical Engineering 2014 American Chemical Society Doctoral New Investigator Award Professor West has secured significant research funding as Principal Investigator on multiple major grants, including an NSF CAREER award for predictive kinetic modeling of halogenated hydrocarbon combustion, an ARPA-E grant for accelerating electrocatalyst innovation, and collaborative NSF funding for autonomous systems in combustion kinetics research. He has also served as Co-Investigator on Department of Energy projects focused on exascale computing tools for chemical systems. His work on the Reaction Mechanism Generator (RMG) software has been particularly influential in the field, with Version 3.0 representing a major advancement in automatic mechanism generation capabilities. West leads the Computational Modeling Lab at Northeastern University, which focuses on developing computational tools for chemical kinetics and reaction engineering. His lab collaborates extensively with experimental groups to validate and refine computational models, creating a strong feedback loop between theory and experiment. The lab is particularly known for its work on the Reaction Mechanism Generator (RMG) software platform, which has become a widely used tool in the chemical kinetics community, and their recent work on integrating machine learning with traditional computational approaches to accelerate catalyst discovery.

• Chemical Kinetics
• Microkinetic Modeling
• Heterogeneous Catalysis
• +4 more

John Q. Xiao is the UNIDEL Professor of Physics & Astronomy at the University of Delaware's College of Arts & Sciences. His research focuses on spintronic devices, magnetism in nanostructured materials, metamaterials, and high-frequency magnetic materials. He is affiliated with the Physics & Astronomy department and has contributed to groundbreaking work on magnetic tunnel junctions, magnon dynamics, and terahertz spintronic systems. Xiao's work integrates experimental and theoretical approaches, often involving advanced characterization techniques like thin-film deposition and time-resolved spectroscopy. Research Areas: Spintronics, Magnetism, Metamaterials, Nanostructured Composites Affiliations: UNIDEL Professor role emphasizing interdisciplinary research His studies explore phenomena such as spin-polarized transport, ultrafast demagnetization, and magnon-photon interactions. Recent projects include developing flexible magnetic composites for microwave absorption and investigating quantum effects in layered materials like Fe5GeTe2. Xiao collaborates on projects involving advanced materials for high-frequency electronics and quantum sensing applications. Xiao’s publications span topics from topological insulators to nanomaterial synthesis, with a focus on practical applications in energy-efficient devices and electromagnetic systems. His work is supported by grants addressing spin-orbit torques, magnonics, and novel 2D materials.

• Spintronics
• Magnetism in Materials
• High-Frequency Magnetic Materials
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Andreas C Cangellaris is a Professor at the University of Illinois at Urbana-Champaign, affiliated with the College of Engineering and the Department of Electrical and Computer Engineering. He leads research in the Coordinated Science Lab, focusing on electromagnetic modeling, signal integrity, and high-speed interconnects. His work spans nanotechnology, stochastic analysis, and machine learning applications in electromagnetics. Education details are not explicitly provided in the text, but his academic career includes significant contributions to computational electromagnetics, including the development of PEEC methods and neural network-based models for high-speed systems. Research interests emphasize modeling uncertainties in electromagnetic systems, metamaterials, and power delivery networks. He has pioneered techniques like the Stochastic Latency Insertion Method (LIM) and FFT-based macromodeling for stochastic systems. Key awards include the Humboldt Research Award (2004) and IEEE Fellow designation (2000). His grants and advising activities are not detailed here, but his lab focuses on advancing electromagnetic compatibility and high-speed link design. Notable collaborations involve stochastic modeling of fiber-weave effects in PCBs and inverse design methodologies using tandem neural networks.

• Electromagnetics
• Signal Integrity
• High-Speed Interconnects
• +5 more

Monica Jinwoo Kang is a postdoctoral researcher at the University of Pennsylvania in the Department of Physics and Astronomy and the Center of Particle Cosmology. Previously, she was a Sherman Fairchild Postdoctoral Fellow at the California Institute of Technology (Caltech), following her PhD in Physics from Harvard University (2019). She also holds a bachelor's degree from UC Berkeley in Mathematics and Physics. Roles: Postdoctoral Fellow (UPenn), Sherman Fairchild Fellow (Caltech), Thesis Advisor: Mboyo Esole, Shing-Tung Yau Education: PhD in Physics (Harvard, 2019), BS in Mathematics and Physics (UC Berkeley, 2012) Her research explores the intersection of quantum gravity , string theory , and mathematical physics , with a focus on holography, operator algebras, and supersymmetric field theories. She combines techniques from conformal field theory, algebraic geometry, and quantum information to study spacetime geometry and entanglement. Her work includes constructing holographic tensor networks and analyzing nonperturbative gravitational corrections to bulk reconstruction. Recent publications examine: Holographic tensor networks in 3D spacetime Nonperturbative bulk reconstruction with infinite-dimensional Hilbert spaces Supersymmetric dualities in 4D and 6D SCFTs Geometric origins of anomalies and spectra in lower-dimensional theories Scientific awards include: Sherman Fairchild Postdoctoral Fellowship (Caltech) Center of Particle Cosmology Postdoctoral Fellowship (UPenn) At UPenn and Caltech, Kang has organized seminars and workshops connecting mathematicians and physicists on topics like integrability, geometry, and quantum field theory. She also lectures extensively on quantum field theory, holography, and algebraic geometry, with recent talks at Princeton , CERN , and the Isaac Newton Institute .

• Mathematical Physics
• High Energy Theory
• Quantum Information
• +7 more

Professor Kamil Ekinci is a faculty member in the Department of Mechanical Engineering at Boston University, with additional affiliations in Materials Science & Engineering and the Photonics Center. He holds a PhD from Brown University and specializes in nanoscale phenomena, including nanomechanics, nanofluidics, and nanophotonics. His research integrates advanced nanofabrication and ultrasensitive measurement techniques to study fundamental physical and biological processes. His research group explores applications in biotechnology, such as developing ultrasensitive measurement tools for antibiotic susceptibility testing and cardiac tissue engineering. Notable achievements include the NSF CAREER Award (2007) and pioneering work on nanofluidic systems. Collaborations span disciplines, including the School of Medicine and institutions like Argonne National Laboratory. Recent projects focus on transitional fluid dynamics, optomechanical transducers, and bacterial movement analysis. The group maintains labs in the Photonics Center and actively seeks graduate students and postdocs in NEMS and related fields.

• Nanomechanics
• Nanofluidics
• Nanophotonics
• +4 more

Dr. Priya Vashishta is a Professor with joint appointments in Computer Science, Materials Science, and Physics at the University of Southern California. His research integrates computational methods across multiple scales to address fundamental challenges in materials science and nanotechnology. Research focuses on multiscale simulation frameworks combining quantum molecular dynamics, machine learning interatomic potentials, and high-performance computing. Key areas include: energy storage materials, 2D materials characterization, catalytic processes, and AI-driven materials discovery. Publication trends reveal consistent development of computational methodologies: machine learning potentials for materials simulation, neural network quantum dynamics, GPU-accelerated computing, and multiscale modeling techniques. Recent work emphasizes practical applications in energy storage, nanoscale electronics, and advanced manufacturing. Research group activities include development of open-source simulation packages (PND, Allegro) and leadership in the MAGICS computational materials center. Contributions span fundamental theoretical frameworks to applied materials engineering.

• Computational Materials Science
• Molecular Dynamics
• Machine Learning
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Jessica Parr is a Professor (Teaching) in the Department of Chemistry at the Dornsife College of Letters, Arts and Sciences, University of Southern California. She maintains an office in SGM 222 with contact number (213) 821-6614 and email parr@email.usc.edu. Her academic credentials include: Ph.D. in Chemistry from the University of Southern California (2007) B.A. in Chemistry with ACS Certification from Goucher College (2002) Professor Parr's research centers on Physical Chemistry with emphasis on photodissociation dynamics in hydrogen-bonded complexes . Her work investigates vibrational energy transfer mechanisms and exit channel dynamics in weakly-bound molecular systems. Key research domains encompass: Photodissociation Dynamics Hydrogen Bonding Interactions Vibrational Energy Redistribution Molecular Spectroscopy Techniques State-to-State Reaction Dynamics Weakly-Bound Dimer Complexes Her publication record (2006-2007) demonstrates expertise in imaging-based studies of vibrational predissociation processes, particularly in hydrogen-bonded dimers like C2H2-NH3 and HCl-acetylene. These works integrate experimental imaging with theoretical modeling to elucidate energy transfer pathways and state-specific dissociation behaviors in molecular clusters. She has earned significant recognition including: USC Mellon Mentoring Award (2014-2015) WiSE Hanna Reisler Mentorship Award (2013-2014) Chemistry Department Teaching Excellence Award (2006-2007) USC University-wide Teaching Award (2006-2007) Department of Chemistry Predoctoral Fellowship (2002-2007) Jay Stuckhoff Leadership Award (2006-2007) Professor Parr's mentoring excellence is evidenced by dual mentorship awards, though specific student advisees aren't documented. Her teaching-focused role at USC is underscored by multiple instructional awards, while no research grant details appear in available records.

• Physical Chemistry
• Photodissociation Dynamics
• Hydrogen Bonding
• +3 more

Netta Engelhardt is the Biedenharn Career Development Associate Professor of Physics at MIT, specializing in quantum gravity and black hole physics. Her research resolves fundamental paradoxes at the intersection of gravity, quantum mechanics, and information theory. Current work addresses the black hole information paradox through holographic principles and quantum information theory. She develops frameworks to reconcile general relativity with quantum mechanics, particularly examining quantum aspects of black holes and spacetime emergence. Awards include the New Horizons in Physics Prize (2021) for calculating quantum information content of black holes, and the DOE Early Career Award (2021). Her research reexamines foundational principles of gravitational physics through quantum information approaches.

• Quantum Gravity
• Holography
• Black Hole Information Paradox
• +2 more

Peter Orth is an Associate Professor at Iowa State University, specializing in theoretical condensed matter physics. His research focuses on dissipative dynamics, quantum phase transitions, and novel quantum phases in cold-atom systems. He holds a Ph.D. from Yale University (2011), where his dissertation explored strongly correlated cold-atom mixtures under the advisement of Karyn Le Hur. His work investigates quantum spin systems interacting with bosonic baths, dynamics of quantum Ising models, and emergent phases like supersolidity in Bose-Fermi mixtures. Experimental setups proposed include cold-atom systems with state-selective trapping potentials for observing critical phenomena. No scientific awards or grants are explicitly mentioned. Advising records are not provided. Research emphasizes non-equilibrium quantum dynamics and theoretical modeling of many-body systems.

• Condensed Matter Physics
• Theoretical Physics
• Quantum Mechanics
• +3 more

James L. Beck is the George W. Housner Professor of Engineering and Applied Science, Emeritus at Caltech, with joint appointments in Computing and Mathematical Sciences and Mechanical and Civil Engineering. His research develops theory and algorithms for stochastic system modeling, uncertainty propagation, and Bayesian updating of dynamic systems. Research interests include: Probability logic and computational Bayesian statistics Stochastic dynamics and system reliability theory Bayesian system identification Stochastically robust structural control Quantum stochastic mechanics Awards and Honors: Distinguished Member of ASCE Masanobu Shinozuka Medal Housner Medal European Association of Structural Dynamics Senior Research Prize

• Probability Logic
• Computational Bayesian Statistics
• Stochastic System Modeling
• +2 more