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Our People
- Executive Assistant to Jan Vandenbrande, Head of Research
- B.S. Business, graduated with distinction, San Jose State University
- Project Manager, PARC’s Project Management Office
- Experience with ops project management and customer success in F20 companies in Tech, Healthcare, Manufacturing and Global Trade.
- MBA, St. Louis University, St.Louis,MO
- Developing solutions to climate change. Materials expertise in membranes and porous materials; process expertise in carbon capture and chemical separations; aspiring electrochemist.
- Design and characterization of porous materials for carbon capture; development of novel ion exchange membranes for novel electrochemical processes.
- Ph.D., Chemical & Biomolecular Engineering, U.C. Berkeley; B.S.E., Chemical Engineering, Univ. of Iowa.
- Area Manager for Computational Design
- Principal Investigator on DARPA projects spanning AI, geometry, and physics for design and manufacturing applications
- Leads research in design for manufacturing, hybrid manufacturing process planning, and physics-based process simulation
- Executive Committee member of Solid Modeling Association (SMA)
- Ph.D. in Mechanical Engineering (ASME Best Dissertation Award winner) and M.Sc. in Computer Science and Engineering, University of Connecticut
- Vice President and Director of the Hardware Research and Technology Laboratory
- expertise in advanced system prototyping and commercialization
- developed small-scale manufacturing in a research environment
- Ph.D., Stanford University; B.A., Princeton University
- Research Scientist in the Intelligent Systems Laboratory; Experience in Topology Optimization, Adjoint Sensitivity, Smart Materials and High-Performance Computing
- Current Projects: Design for Manufacturing and Assembly, Adaptive Structures
- Education: Ph.D. and M.S. from the University of Illinois Urbana Champaign, B.Tech. from the National Institute of Technology, Durgapur, India.
- Synthetic chemist focusing on organometallics and nanoparticle chemistry
- Gas sensing and THC sensing projects at PARC
- SB MIT ’09, MS Stanford ’13, PhD Université Paul Sabatier ’17
- helps knowledge workers use information and collaborate with each other
- enterprise collaboration and content management, intelligence analysis, medical sensemaking, and historical collections
- user interface software; techniques for sharing computers among multiple users; entity-based notebooks
- Research Strategy Manager, Office of the Head of Research
- R&D Operations and Strategy
- B.S., Mathematics, Santa Clara University
- Hardware & Software for liquid metal 3D printing, micro-LED display assembly, & drug delivery microdevices
- Experience with aircraft structure design, controls for robotics, and warehouse robotics software
- M.Eng. Control of Robotic & Autonomous Systems, University of California, Berkeley
- B.S. Mechanical Engineering with Computer Science Minor, University of Southern California
- Signal processing, machine learning, security and privacy
- Focus cyber-physical system security, building energy modeling and sensor streaming, adversarial and privacy-preserving machine learning, and applied cryptography
- Ph.D. in Computer Engineering from The University of Texas at El Paso
- Project management of Digital Design and Manufacturing, 3D Printing and IoT projects, delivering to Xerox, government and commercial customers
- Coordinating, removing roadblocks, increasing efficiency, helping teams to be successful
- M. Sc. Engineering Management, California State University, Northridge. B. Sc. Electrical and Electronics Engineering, Middle East Technical University. B. Sc. Mathematics, Middle East Technical University
- Manager, Innovation Services Group
- providing User Experience Research, Design and Business Discovery to PARC customers.
- M.Sc. in Engineering from the Royal Institute of Technology, Stockholm, Sweden
- surface engineering and analytical chemistry
- water purification, industrial printing, more
- M.S., B.S., Materials Science and Engineering, Stanford University
- Scientific machine learning for computational physics
- High performance computing
- Theory of deep learning
- Turbulence and climate dynamics
- Research: Optical sensors and sensing systems
- Projects: Fiber optics sensing, flow cytometer
- Education: Ph.D., Biomedical Engineering, University of Michigan; B.S., Applied Physics, Peking University
- Focus areas: IoT and Machine Intelligence, microsystems, and smart devices
- PARC Competences: optical sensors, optical and mechanical microsystems, data science and analysis
- Augmented Reality, Virtual Reality, Human-Computer Interaction, and Computer Vision
- Ph.D., Computer Science, University of Delaware, M.S., Communications Engineering, National Cheng-Chung University in Taiwan
- MEMS, packaging, and printing
- microsprings for integrated circuit packaging and testing; novel viscous liquid printing concepts; xerographic micro-chip assembly
- thin-film transistor integration with MEMS; large-area printed organic electronics research
- Ph.D. and M.S., Electrical Engineering, & M.S. in management science and engineering, Stanford University; B.S., engineering physics, U.C. Berkeley
- Control of multi-agent systems, modeling and output feedback control of nonlinear systems, anomaly detection using data science, and optimization of desalination systems.
- Optimal reconfiguration and control of autonomous systems
- Ph.D., Electrical Engineering, Michigan State University; M.Tech., Mechatronics, AcSIR; B.Tech., Electronics and Communication Engineering, Jalpaiguri Government Engineering College
- Manager of PARC’s Micro-Technology group
- Semiconductor optical emitters: VCSELs, LEDs and III-nitride lasers
- Epitaxy, design, and fabrication of infrared, visible, and ultraviolet photonics devices
- Pioneered VCSEL architecture widely adopted by commercial manufacturers
- Ph.D., Electrical Engineering, Cornell University; B.S., Physics and B.S., Electrical Engineering, MIT
- systems engineering, distributed sensor networks, machine learning, data analysis, robotics, and neurotechnology
- 3 patents (more pending) and 7 publications with over 1400 citations in the fields of optics and neuroscience.
- Ph.D., M.S., and B.S. in Mechanical Engineering, Stanford University
- design of state-of-the-art control, planning, and optimization algorithms for real physical systems
- interface between planning and control, control and coordination of large-scale distributed systems
- manufacturing systems, energy systems
- Ph.D. in Biophysics & M.S. in Electrical Engineering, U.C. Berkeley; A.B. in Physics, Harvard
- Senior Market Analyst for the Refinery, PARC’s venture services group
- Full stack marketer, inbound and outbound, B2B and B2C. Experience with product launch and management, startups, emerging technology, healthcare/med device and software industries
- BA, International Relations, Mount Holyoke College; MIM, Thunderbird School of Global Management
- Computational linguistics, especially in relation to reasoning, search, and interaction
- Task reasoning from perceptual input, note-keeping tools for knowledge management
- PhD Computer Science and BA Philosophy from Cambridge University
- PARC Research Fellow and leads the Model-based Reasoning area
- co-invented the field of Qualitative Reasoning; invented the Assumption-based Truth Maintenance System (ATMS) and the field of model-based diagnosis
- 19 patents; over 100 published papers and co-authored three books
- Recipient of the “Lifetime Achievement Award” at the 25th International Workshop on Principles of Diagnosis and Computers and the “Computers and Thought Award” at the International Joint Conference on Artificial Intelligence
- Ph.D., Artificial Intelligence EECS and S.M., Computer Science EECS, Massachusetts Institute of Technology; B.Sc. (Honors), Mathematics and Computer Science, University of British Columbia, Canada
- Chief Software Architect for the PARC IoT Tower
- leads product definition, development, and commercialization for IoT; incubation of new businesses
- product strategy, software architecture, development leadership
- 12 patents issued, 5 pending in domains including image compression, rich media, mobile communications, and IoT
- BS EE&CS Massachusetts Institute of Technology
- Computer Vision, Machine Learning, Deep Learning
- 3D Semantic Segmentation, Perception
- Ph.D. Computer Engineering, Arizona State University
- MSC Electrical Engineering, Illinois Institute of Technology
- Extensive background and experience in microfabrication, MEMS technology and silicon photodiode.
- Currently work on the development of microfabrication technology and processes, and prototyping microdevices.
- Ph.D., Mechanical Engineering, Binghamton University, NY; M.S. and B.S., Mechanical Engineering, Harbin Institute of Technology, China
- Vice President and Director of the Intelligent Systems Lab
- leads research and development in artificial intelligence, computational design, cyber-physical security, knowledge representation, human-machine collaboration, computer vision, and data science
- supports Xerox’s various growth initiatives through identification of next wave of innovation and feasibility exploration of early stage ideas, in particular for AI, IoT, and CleanTech
- Ph.D., UC Berkeley, Mechanical Engineering/AI; Dipl. Ing., TU Muenchen, Mechanical Engineering (Design/Manufacturing)
- System design approaches for integrating structure, sensor/actuator architecture and control
- Optimal decision making and model-based/learning-based control of autonomous systems; Security of cyber-physical systems
- Ph.D., Aerospace Engineering, Texas A&M University-College Station; B.Tech., Mechanical Engineering, IIT Roorkee
- Research Scientist in the Intelligent Systems Laboratory.
- Design optimization and computational physics
- Ph.D. in Applied Mathematics at the University of North Carolina Chapel-Hill
- Research Interest: Statistical Data Modeling, Machine Learning, Visualization, Explainable AI, Visual Analytics
- Current Projects: AI/ML and Visual Analytics projects for Climate Science, Healthcare, and Sensor analytics
- Education: Ph.D., M.S , Ohio State University
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- Hydrocarbon conversion technology, heterogeneous catalyst development, reactor and process scale-up
- CO2-free hydrogen production from methane
- PhD, MS, and BS from Seoul National University in Korea, Post-doc at Los Alamos National Laboratory
- Head of Engineering of AI Software New Ventures
- responsible for developing and operating Alto AI-as-a-Service Platform and a plethora of high value AI services that leverage PARC’s unique AI technologies and expertise in Natural Language Processing, Computer Vision, Conversational AI, Augmented Reality, and other AI areas.
- leadership experience in Enterprise / AI / IoT / Analytical SaaS product development and operations
- MS in Computer Science from University of North Carolina at Charlotte, BS/MS/PhD in Engineering from Xian Jiaotong University
- Mechanical engineer in the Hardware Research and Technology Lab
- Supports the research, design, and industry integration of viscous liquid spray systems for the Advanced Manufacturing Office in the Department of Energy
- B.S. in Mechanical Engineering from the University of Illinois in Urbana-Champaign
- functional materials for 3D printing and energy applications
- advanced composite polymeric materials; colloidal particles synthesis and functionalization
- over 160 U.S. patents; 17 journal articles
- Ph.D., Materials Chemistry, Université Paris XI, France
- mechanical engineering, computer-aided design, rapid prototyping, and robotics
- design and fabrication of projects ranging from assembly of microelectronics to novel spray systems
- B.S., Mechanical Engineering, Santa Clara University
- Senior Scientist in the ACES area, focused on planning & scheduling of autonomous agents
- interests span autonomy, AI, optimization and controls
- Ph.D. and M.S., Mechanical Engineering, UCLA; B.Tech., Mechanical Engineering, IIT Madras
- Over 25 years of experience in Government Prime Contract Management and Subcontract Management including research and development contracts, demonstration validation contracts, and production contracts. Experience includes working for industry and the US Department of the Navy.
- Primary focus is the management of DOE and NIH prime contracts and subcontracts and support to the capture team in the pursuit of new business opportunities through the submittal of competitive proposals to both DOE and DARPA.
- B.S. in Business Administration and Certification in Government contracts management with the Naval Facilities Engineering Command.
- Principal Scientist
- nitride based light emitters, ultra sensitive detection systems
- flow cytometry for biomedical applications
- 80 issued and pending patents; 240 scientific publications
- Senior Research Scientist in PARC’s Intelligent Systems Lab.
- Research Interest: Deep Reinforcement Learning, Explainable-AI, Applied Machine Learning for Physical Science
- Education: Ph.D in Computational Material Science from Georgia Institute of Technology
- M.S in Computer Science and Engineering from Georgia Institute of Technology
- M.S in from Georgia Institute of Technology
- Innovative and scalable AI solutions for clients
- Strong expertise in technology and business: deep learning, predictive modeling, solution architecting, technical consulting
- MBA, Stern School of Business; MS Computer Sc., University of New Hampshire; B.E. Computer Eng., Delhi University
- mechanical analysis, design, and fabrication; electronic design, layout and construction; embedded systems development; system integration, control and software
- software design and implementation for computer vision, distributed programs, networking, object systems
- 39 Patents,19 Publications
- M.S., Computer Science, Stanford; B.S., Mechanical Engineering, MIT; B.S., Computer Science, MIT
- member of Technical Staff
- works on the COGLE XAI project
- Bachelor of Science, Computer Science: Game Design, University of California at Santa Cruz
- digital electronic design, field-programmable gate arrays, board layout, schematic capture, AD/DA interface, and design with power regulators
- B.S., Electrical Engineering, UC San Diego
- expertise in biophysics, biochemistry, and analytical chemistry.
- development of diagnostic assays, and fluorescence/Raman (scattering) assays
- optical detection, optical systems, microfluidics
- Principal Scientist working on a wide range of non-conventional electronics
- Ph.D., Electrical Engineering, Princeton University; B.S., Electrical Engineering, National Taiwan University
- holds more than 50 patents
- developing new optical technologies in laser scanning, imaging, optical sensing, solid-state illumination, and solar concentration
- M.S. in Electrical Engineering, Stanford University; B.S. degree in both Physics and Mathematics
- 28 patents in optical systems, diffractive optics, MEMS, optical sensors, image processing, laser scanning systems
- Area Manager Autonomous Systems & Life Sciences
- drug delivery, microfluidics, printing, hyperspectral imaging, light generation, delivery and detection, as well as all aspects of biophotonics
- Dr. rer. nat, Physics, Bielefeld University, Germany
- Machine learning, optimization, modeling, control
- Resilience of autonomous system, system design, micro-scale control
- B.S. and M.S., Electrical Engineering, Politehnica University of Bucharest Romania; M.S. and Ph.D. in Electrical Engineering, University of Maryland, College Park
- Currently working in computational mechanical engineering (DARPA COMP Mods, FUN Design)
- Technical lead for PARC’s XLE parser, commercialized through Powerset, Inc. (acquired by Microsoft)
- Helped develop Cedar experimental programming environment
- Wrote first WYSIWYG music notation editor (Mockingbird)
- SB and SM, Computer Science, MIT
- Scientist developing fossil-free technologies to mitigate global warming effects
- Current focus is on developing efficient aerosolization technologies to produce nano salts for marine cloud brightening and the generation of clean hydrogen for commercial scale
- Ph.D. in mechanical engineering from University of California San Diego and a bachelor’s degree from Universidade Federal de Minas Gerais
- printed electronics for digital processing and device integration toward low-cost manufacturing fabrication and novel device applications
- passion for developing disruptive technologies that may improve our lives
- Ph.D. and B.S., Physics, Rutgers University and Peking University respectively
- 60 issued U.S. patents and more than 60 journal publications and book chapters
- leads the engagement of public sector agencies and the development of PARC’s research proposals
- previous experience in Federal R&D Business Development and proposal management
- Operations Management Master of Business Administration Degree, University of Scranton. Currently an Industrial-Organizational Psychology Ph.D. candidate
- design automation for digital manufacturing
- analysis and manufacturing planning at multiple scales; additive and hybrid technologies
- Ph.D. and M.Sc., Mechanical Engineering, University of Wisconsin-Madison; B.Sc., Aerospace Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran
- Data Scientist in System Analytics
- Predictive maintenance, application of AI in diagnostics, nonlinear dynamics
- Ph.D. Candidate, Mechanical Engineering, Villanova University; B.Sc., Mechanical Engineering, University of Jordan
- adaptive agents for facilitating positive health behavior change and on knowledge representation and acquisition for task-driven dialog agents.
- artificial intelligence, agent design and learning, cognitive systems and architectures, and psycholinguistics
- Ph.D. from University of Michigan’s Computer Science and Engineering department; M.S. in computer science from University of Michigan; a B.Tech in instrumentation and control engineering from Delhi University in India
- artificial Intelligence, knowledge representation and reasoning, natural language understanding, commonsense reasoning
- research on deep understanding of unstructured and semi-structured text, tables, and diagrams; discourse; and narrative
- focus on solving difficult technological problems by working out underlying foundational AI research problems and integrating with state-of-the-art technology, and on transitioning solutions to customers
- PhD and MS, Computer Science, NYU Courant Institute of Mathematical Sciences; BA, Mathematics and Philosophy, City College of New York
- artificial intelligence, diagnostics and prognostics for cyber-physical system
- Ph.D., Electrical Engineering, University of North Carolina at Charlotte; M.Sc., Electrical Engineering, University of North Carolina at Charlotte; B.Sc., Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
- Fluid formulation, rheology, fluid processing, interfacial chemistry, organic chemistry
- Filament Extension Atomizer, coatings and films, polymeric materials
- M.Sc., Chemical Engineering, University of Alberta; B.Sc., Chemistry, Simon Fraser University
- focuses on understanding technical demands made by changing social practices
- information-sharing and collaboration-support tools in system engineering practices
- was a software engineer on large-scale, mission-critical, real-time systems
- MS, Computer Science, University of Wisconsin, Madison
- Senior Member of ACM
- predictive analytics for child support case management and public transportation; adapting lean and agile software development techniques for use in a research organization
- 17 patents
- M.S., Computer Science, Rochester Institute of Technology, B.S., Mathematics, St. John Fisher College
- Multiagent collaborative and robotic systems; task-based collaborative dialogues systems
- Commonsense reasoning (causation, counterfactuals, AI challenge problems)
- Hybrid AI systems
- SB in Physics, MIT; MS in Computer Science, Columbia; PhD in Computer Science, University of Pennsylvania, Postdoctoral Fellow, Harvard.
- Developing materials solutions to the biomedical problems; expertise in the design, synthesis and characterization of new materials for the imaging, therapy and biosensing purposes; firsthand experience in designing and experimenting with patient-derived and/ or cell lines and performing PK/ PD studies, imaging, etc in the animals.
- Current projects: Drug sensing and Printed pharma
- NIH Postdoctoral Fellow at the Stanford University, Ph.D. & MS in Bioengineering at the University of Illinois Urbana Champaign (2019), MS and BS in the Materials Science and Engineering at Sharif University of Technology
- Colloidal systems, rheological characterization, and materials development for energy applications
- High-performance electrochemical and fuel cells, advanced carbon nanotube-based gas sensors
- Ph.D., Chemical Engineering, University of Houston; M.S., Chemical Engineering, University of North Dakota; B.S., Chemical Engineering, Indian Institute of Technology
- Previous work experience includes NASA Ames Research Center (system admin and program management team), Design Response (non-profit, Exec. Asst. to Director), Sperling Jones & Stiff (advertising, Admin.), and the University of Southern California (Dept of Chemistry, Head of Grad Affairs/Admin).
- At PARC I assist the Hardware Research & Technologies Laboratory.
- BA Design Studies at San Jose State University & AS in Interactive & Multimedia Technologies
- leads the development of PARC’s research proposals to state and federal government agencies
- Ph.D. and A.M. in Chemistry and Chemical Biology, Harvard University; A.B.in Chemistry with honors, Bryn Mawr College
- Automated Planning, Artificial Intelligence, Heuristic Search.
- Development of adaptive intelligent agents, AI planning in hybrid systems, system reconfiguration algorithms.
- Ph.D. in AI, King’s College London; M.Sc. in Computing Science, University of Glasgow; B.Sc. in Computer Science, University of Strathclyde.
- Current research focuses on novel micro- and nano-systems and integrated 3D smart objects and sensors for healthcare and biomedical applications
- broad experience in MEMS, bioMEMS, lab-on-a-chip systems, microfluidics, and the lifecycle of advance biomedical microdevice development: including design, mechanics of materials, material and process development, and device and biological response study.
- Developed a battery-less MEMS ocular implant for controlled and on-demand delivery of drug for treatment of Diabetic Retinopathy
- Ph.D. and a M.A.Sc in Mechanical Engineering from the University of British Columbia; B.Sc. in Mechanical Engineering from University of Tehran.
- Area Manager of Photonic Systems, research area interests in optical and fiber-optic sensing technologies and data analytics, strong research thrust in optical simulations, modeling and engineering
- Expert in single-molecule biophysics and fluorescence microscopy with more than 30 publications in the fields of biophotonics and microtechnology
- Ph.D. and M.Sc. in Condensed Matter Physics, University of Oxford, B.Sc. in Physics, University of Goettingen
- Head of Engineering in the IoT Global Business Unit
- manages engineering development and operations in the DARPA Ocean of Things program
- M.S., B.S., Electrical Engineering, University of Wisconsin – Madison
- inference, tracking, learning, and planning applications for government and industry clients
- model-based control on a system for improving the diagnostic information generated from automatically constructed plans; machine learning of rules to diagnose problems in printing engines from fault code sequences; and optimization of power loads on aircraft to minimize power and cost and maximize utility
- Ph.D. in Computer Science from the University of British Columbia
- Research Director for IoT Sensors and Services and Fibridge Lead
- cross-disciplinary portfolio spans sensing, modeling, analytics, and asset management
- track record in leading development/transitioning of innovative IoT technologies with major industry clients/agencies
- Ph.D., M.S., Aerospace Engineering, University of Michigan, Ann Arbor; B.S., Mechanical Engineering, IIT Bombay
- data scientist, machine learning engineer, quantitative modeler
- expertise in big data analytics, applied machine learning and deep learning, statistical and numerical modeling, operations research
- Ph.D., University of California, Davis; M.S., University of Southern California; B.E., Anna University, India
- signal processing and applied cryptography
- focus on privacy-aware computation and cyber-physical systems security
- Ph.D., Electrical Engineering, Stanford University; Masters, Electrical Engineering, University of Minnesota; Bachelors, Instrumentation and Control Engineering, Pune University (India)
- expertise is in colloidal processing and direct writing of colloidal fluids.
- B.S. and Ph.D. in materials science and engineering, University of Illinois in Urbana-Champaign
- semiconductor nanowire devices and applications
- solution-processing and inkjet-printing nanowire transistors
- disordered nanowire mat solar cells
- PhD, MS electrical engineering, U.C. San Diego
- colloidal synthesis and crystallization, soft material systems, surface chemistry
- printed microchips, electrical particle assembly, optical systems
- Ph.D., Chemical and Biomolecular Engineering, Johns Hopkins University
- Expertise in experimental and computational fluid dynamics, drop deformation and breakup, low Reynolds number hydrodynamics, transport phenomena.
- Filament extension atomization; Fiber alignment in 3D printing; Data analysis for gas sensors.
- Ph.D., M.S., Mechanical Engineering, University of Maryland – College Park; B.E., Mechanical Engineering, R V College of Engineering, India.
- Research Director for Cleantech
- drives PARC innovation to address climate change
- expertise in circuit design, printed sensors, refrigerant-free cooling, flexible electronics
- Ph.D., Electrical Engineering, Columbia University; B.S., Mathematics, Brown University
- Computational mechanics with a focus on the behavior of materials and flows under extreme environments, machine learning and surrogate modeling for multiscale modeling and uncertainty quantification
- Robust and improved predictive modeling of additive manufacturing process via deep learning and high-fidelity computational modeling
- PhD in Mechanical Engineering, University of Iowa; MS in Mechanical Engineering, Michigan State University; Bachelor of Technology (B.Tech) in Civil Engineering from the National Institute of Technology, Calicut.
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- Principal Scientist at Intelligent Systems Lab.
- Research focused on plan-based dialog management, natural language understanding, knowledge representation and reasoning.
- M.S. and Ph.D. in Computer Science, University of Massachusetts, Amherst; B.E. in Computer Science and Applications, Shanghai Jiao Tong University.
- Senior Director of Commercial Business Development and Innovation Partnerships
- leads commercial business development and innovation partnerships
- technology commercialization, strategic partnering, IP, and growth of PARC’s innovation and R&D commercial business
- Ph.D., Semiconductor Physics, University of California, Irvine and Electrical Engineering, Fullerton College, CA
- PARC Research Fellow
- Principal Investigator for XAI project COGLE
- AAAI and AAAS Fellow
- Ph.D., Stanford University
- 25 years Contract Management experience in Aerospace, Aeronautics, Space Systems, and Commercial Aviation, including 15 years in Executive Leadership at the Director and Vice President levels.
- Focused on Government and Commercial Contracts for all research projects over the entire Contracting Lifecycle.
- Bachelor’s Degree in Business Administration at the University of San Francisco; Juris Doctorate degree from Western State College of Law.
- computer vision, pattern recognition, video and image processing
- B.E, Electronics and Communication Engineering, Anna University, India
- Holds 2 U.S Patents
- Research and Development Engineer in PARC’s Intelligent Systems Lab
- Interested in natural language processing, text generation, author profiling, information extraction and retrieval, semantic space, human-computer interaction
- 21 publications in NLP/ML, over 300 citations, two of her articles cited as “classic work” in the emerging subfield of legal NLP
- PhD in CS, MSc in AI, MA in Linguistics, and BSc in CS from the University of Bucharest
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- Predictive modeling and uncertainty quantification of multiscale/multiphysics systems, domain-aware deep learning for accelerating design prototyping
- UQ, reduced order modeling and physics-aware deep learning of multiphysics problems, physics-based simulation of multiphase flows
- PhD, Engineering Physics, UC San Diego; MS, Engineering Physics, UC San Diego; MS, Physics, Katholieke Universiteit Leuven
- physics and materials science of nanophotonic systems
- applied electromagnetics for metamaterials, radiative cooling and biomedical applications
- postdoc in Applied Physics, Caltech; Ph.D., Photonics, EPFL, Switzerland; M.S., Physics, EPFL, Switzerland; B.Sc., Physics, St. Stephen’s College, University of Delhi, India
- Principal Scientist, member of the Photonic Systems Area
- Theoretical and computational design, modeling, and optimization of multi-physical processes and systems
- B.S. in Electrical Engineering, Middle East Technical University (Ankara, Turkey), 1989
- M.S. in Electrical Engineering, Texas Tech University, 1991
- Ph.D. in Electrical Engineering, Texas Tech University, 1994
- Head of PARC Research
- Strategy, innovation, public funding, program development
- Expertise in aerospace, automotive, hypersonics, design, manufacturing, simulation, materials, composites, computational methods, geometric reasoning
- Executive Board Member of the Solid Modeling Association
- Ph.D. Electrical Engineering, University of Rochester, NY; EE/ME Engineering Degree, Brussels Free University (VUB), Belgium
- Senior Director, Intellectual Property Management and Commericialization
- experience in venture fund formations, investments, due diligence and portfolio management, complex commercial transactions
- former counsel to the Acer Group’s venture funds in the U.S.
- U.C. Berkeley and Hastings College of the Law
- Interoperability between system and CAD/CAE models, model-order reduction
- System-based geometric design automation
- Ph.D., Mechanical Engineering, University of Wisconsin-Madison and M.S. and B.S. degrees, Mechanical Engineering, Harbin Institute of Technology, China
- synthesizing nanoparticles and polymer composites for energy applications
- Ph.D., Mechanical Engineering, Texas Tech University; M.E., illinois Institute of Technology; B.E., Beihang University in China
- 20+ publications with over 500 citations
- III-Nitride materials and device development
- Optoelectronic and Photonic Integration
- First key demonstrators of III-Nitride laser concepts for both lateral and vertical emission
- Studied and demonstrated various carrier injection schemes for high energy laser operation
(i.e., electrical, optical, and electron beam pumping) - Pioneer of 3D Ga(In)N growth of micron- and nano-scale heterostructures
- Recent interests include UV/VIS Photonic Integrated Circuit components development
- Data Scientist, Structural Analysis Engineer
- structural health monitoring, sensors, fault diagnosis, and prognosis
- Ph.D., Civil Engineering, Iowa State University; M.Sc., Georgia Institute of Technology; B.Sc., Central South University
- Topology optimization, computational design, geometric modeling.
- Design for manufacturing (DfM) and design for assembly (DfA).
- Ph.D. in Mechanical Engineering from State University of New York- Stony Brook University.
- interactive systems researcher, designer, architect, and builder
- currently focuses on mobile computing platforms and interactive artificial intelligence systems to facilitate positive behavior change in individual and social contexts
- Ph.D., M.S., and Honors B.S., Computer Science and Engineering, The University of Texas at Arlington
- designing simulation tools that incorporate fault diagnosis into systems modeling
- model-based diagnosis for complex electromechanical systems
- Ph.D. in Mechanical Engineering from the University of Delaware; Bachelor in Mechanical Engineering from Huazhong University of Science and Technology (HUST) in China
“The best part about working at PARC is and always has been the people.”
Alex Hegyi, Member of PARC Research Staff, Electronic Materials and Devices Laboratory