Find out more working with us or even for us.

Our People

  • Mechanical design of metals and composites, computer aided design and optimization, finite element analysis
  • Liquid metal 3D printing technologies, viscous liquid spray system design and integration
  • M.S. Mechanical Engineering, Georgia Tech; B.S. Mechanical Engineering, Clemson University

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  • 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.

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  • high-level understanding and interpretation of images and has led to novel theories of human vision
  • applies computer vision and machine learning to the task of analyzing images of documents to enable computers to understand and interpret documents in the same ways humans can
  • BSc physics and computer science, Tel Aviv University; MSc, PhD computer science, Weizmann Institute

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  • 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

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  • 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

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  • 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.

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  • charter member of Xerox PARC
  • expertise includes acousto-optic interactions, electron spin resonance, disordered semiconductors, laser-induced thin-film crystallization, scanning tunneling microscopy, heteroepitaxial growth, and new fabrication methods and use of complex “smart matter” systems
  • over 100 US patents; Fellow of the APS

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  • 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

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  • Senior Manager, PARC’s Project Management Office
  • B.S., Mathematics, Santa Clara University
  • A.S. in Liberal Arts (Cum Laude), De Anza College

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  • Senior Scientist in Computational Design, with experience in DNA sequencing devices and next-generation energy storage systems
  • Process modeling and simulation for metal AM, energy systems design and manufacturing
  • Ph.D. Politecnico di Milano, postdocs at Brown University and MIT (Materials Science)

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  • General metallurgy, material characterization, materials processing, alloy design, gas metal reactions and surface modification of metals
  • Alloy design, characterization and mechanical testing of 3D printed metals
  • Ph.D. in Materials Science from The University of Arizona, MBA from Northwestern University, BS in Metallurgy from The University of Wisconsin and BS in Chemistry from the University of Wisconsin

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  • 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

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  • 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

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  • surface engineering and analytical chemistry
  • water purification, industrial printing, more
  • M.S., B.S., Materials Science and Engineering, Stanford University

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  • Area manager for Materials Interfaces and Processes group:
  • Materials, devices, and processes for Cleantech, 3D printing, and IoT applications
  • Polymer science, GHG mitigation, nanoporous materials, membranes, electrolytes
  • Ph.D. and M.S. Materials Science and Engineering, UC Berkeley, S.B. Materials Science, S.B. Physics, MIT

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  • 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

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  • Manager of PARC’s Microfabrication Technology & Prototype Devices Area
  • 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

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  • 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

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  • Research data scientist with physics background, developing algorithms to process and extract insight from optical sensor/detector data.
  • Current PARC projects: spectro-optical calorimetry (SPOC) and FiBridge/FO sensing.
  • PhD in Astrophysics, UCLA (2020). BA in Physics and Astrophysics, UC Berkeley (2013)

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  • 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

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  • 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

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  • focusing on new IoT industry solutions, AI, ML, Sensing, Actuation, and Automation
  • develops IoT New Venture opportunities for Xerox
  • developed alliances and go-to-market strategies for startups and Fortune 500 companies
  • MBA, Strategy, Pepperdine University

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  • Researcher in artificial intelligence and autonomy, with applications in systems health management, self-driving cars, robotics, electric powertrains, and unmanned aerial systems
  • Predictive maintenance, model-based diagnosis, physical systems modeling and analysis, artificial intelligence and machine learning
  • Ph.D. and M.S. in Computer Science at Vanderbilt University, B.S. in Computer Science, Computer & Systems Engineering at Rensselaer Polytechnic Institute

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  • 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

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  • Director of IT operations at PARC
  • drives strategic IT transformational initiatives to modernize, simplify and enhance High Performance Computing, Networking, Storage and Cloud services for the PARC research community

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  • 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

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  • Area manager for Sensor Devices and Systems group
  • Materials chemist with a background in electrochemistry
  • Ph.D., Physical Chemistry, UC Berkeley; B.S., Chemistry, UNC Chapel Hill

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  • 18+ years’ experience in Government Contracting & as a Small Business Liaison Officer
  • Primarily serve the Department of Defense, NASA and FFRDC contracting needs
  • B.S. Environmental Science & Technology (Univ. of Phoenix)
  • Master of Legal Studies (ASU)

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  • 20+ years’ experience developing fielded AI solutions for industrial problems
  • machine learning for asset health management (AHM)
  • Ph.D., Machine Learning and MS, Applied Statistics,  Rensselaer Polytechnic Institute

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  • Systems Engineering Lead in Xerox Cleantech Business
  • Thermal fluids system design, modeling, performance characterization and optimization; fluid system control and operation
  • Ph.D. Health Sciences and Technology, MIT/Harvard; S.B. Aeronautics and Astronautics, MIT

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  • Computer Vision, Machine Learning, Deep Learning
  • 3D Semantic Segmentation, Perception
  • Ph.D. Computer Engineering, Arizona State University
  • MSC Electrical Engineering, Illinois Institute of Technology

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  • mechatronic prototypes from firmware to fabrication
  • creating prototype systems in the fields of IoT, Robotics, and Embedded Systems
  • B.S., Robotics Engineering, University of California, Santa Cruz

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  • model-based diagnosis, artificial intelligence, and cyber-physical systems
  • over 40 publications in leading conference proceedings and international journals
  • Ph.D. in Computer Science and M.Sc. in Parallel and Distributed Computer Systems, Delft University of Technology

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  • 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

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  • applications in embedded reasoning and machine learning with a focus on social network data analysis and technical infrastructure development therein
  • Master’s in Computer Science with a specialization in Machine Learning, Georgia Institute of Technology; Bachelor’s in Information Technology, University of Mumbai

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  • 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)

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  • Software Developer/Mechanical Engineer
  • software and research problems in additive manufacturing, image 3D printing, lattice structures and geometric modelling in Data Science group, Intelligent Systems Lab
  • M.S., Mechanical Engineering, University of Cincinnati, Ohio; B.Tech. , Production and Industrial Engineering, Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India

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  • 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

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  • 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

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  • Research Interest: Statistical Data Modeling, Machine Learning, Visualization, Explainable AI, Visual Analytics
  • Current Projects: Machine learning projects for sensor data and intelligent systems at PARC
  • 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

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  • 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

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  • 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

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  • large-area printed electronics; metal oxide electronics; many-sensor actuator control systems; task-based system design
  • machine learning; sensor/actuator machine learning; biosensing
  • Ph.D., M.S., Physics, UC Berkeley; Fellow, APS; 100 patents; 250 publications

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  • Data science, machine learning, materials engineering, surface characterization and chemistry, solar cells
  • Clean energy technologies, sensors and automation
  • PhD in Materials Science and Engineering, University of Washington, Seattle

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  • guided team that has developed laser diodes and light emitting diodes in the visible and UV spectral regions and made major contributions to fundamental understanding of the material and devices
  • over 420 research papers in technical journals and conference proceedings and more than 50 patents
  • Fellow of the American Physical Society and IEEE
  • Ph.D., Princeton University

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  • 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

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  • 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

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  • Full-Stack developer/architect in Digital Design and Manufacturing
  • Java, Javascript, AWS, design and manufacturing
  • Masters, Software Engineering, San Jose State University, California; B.Tech, Mechanical and Automation Engineering, Delhi, India

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  • Electrochemical Engineering Lead in the Xerox Cleantech Business
  • Electrochemical systems, energy storage and production, polymer electrolyte membranes, transport phenomena, product development
  • Ph.D. Chemical Engineering, Case Western Reserve University; B.S. Chemical Engineering, Texas A&M University

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  • Principal Scientist
  • nitride based light emitters, ultra sensitive detection systems
  • flow cytometry for biomedical applications
  • 80 issued and pending patents; 240 scientific publications

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  • 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

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  • multiscale computational methods, image processing, partial differential equations
  • multiscale modeling of properties of materials
  • Ph.D., Theoretical Physics, Institute for Spectroscopy at the Russian Academy of Sciences

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  • 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

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  • 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

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  • Leads a new PARC venture currently in stealth mode under the IoT Innovation tower
  • M.Sc. and a B.S. in Industrial Engineering and Management from Chalmers University of Technology in Gothenburg, Sweden

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  • member of Technical Staff
  • works on the COGLE XAI project
  • Bachelor of Science, Computer Science: Game Design, University of California at Santa Cruz

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  • 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

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  • Electrochemical Engineer in Xerox Cleantech Business
  • Research and development of electrochemical systems to mitigate greenhouse gas emissions
  • Ph.D. in Chemical Engineering, M.S. in Chemical Engineering Practice, MIT; B.S. in Chemical Engineering, Montana State University

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  • Electrocatalysis in fuel cells and electrolyzers, root cause analyses of battery failures and gas pipeline failures, pipeline characterization for integrity management
  • Modular electrochemical generation of ammonia 
  • Ph.D. and M.S., Chemical Engineering, Caltech; B.S. Chemical Engineering and Materials Science and Engineering, UC Berkeley

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  • 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

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  • 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

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  • 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

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  • modeling, analysis, and design of dynamical systems
  • reliability and diagnosis studies for cyber-physical systems, developing failure mechanisms models for physical components
  • 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

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  • efficient algorithms for parsing, generation, and translation
  • machine learning techniques for processing natural language
  • pioneered WYSIWYG music notation editor; part of original Smalltalk object-oriented programming team; helped develop Cedar experimental programming environment
  • technical lead for PARC’s XLE parser, commercialized most recently through Powerset, Inc. (acquired by Microsoft)
  • SB and SM, Computer Science, MIT

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  • 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

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  • Product Manager in Xerox Cleantech Business
  • Previous experience in liquid desiccant and conventional HVAC, power generation, food trucks, brewing and office furniture
  • M.S. Mechanical Engineering, University of North Florida; B.S. Mechanical Engineering, Rose-Hulman Institute of Technology

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  • 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

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  • 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

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  • Developing physics-infused data-centric models for scientific applications ranging from climate science, and energy systems
  • At PARC, working in the IoT and Machine Intelligence focus areas. Projects with DARPA’s Ocean Of Things (OOT) team and the Novity – failure prognostics, team.
  • Ph.D., Mechanical Engineering, University of Massachusetts Amherst
B.E., Civil Engineering, Birla Institute of Technology

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David Mittelman – Senior Software Development Engineer

  • Cloud architect
  • Machine learning
  • Product development leader
  • Startup experience

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  • 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

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  • 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

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  • 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

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  • Intersection of materials design, computational design, and machine learning
  • Development of novel engineering materials and systems
  • Ph.D., Mechanical Engineering, University of Texas at Austin; B.S., Mechanical Engineering, University of California at Berkeley

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  • 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)

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  • project management and customer success
  • AI-driven response tools
  • B.S., Business Administration and Management, University of Detroit Mercy

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  • Research Director for 3D Technologies
  • R&D strategy and innovation for 3D design and digital manufacturing
  • Principal Investigator on DARPA-funded efforts in next-gen design technologies
  • research expertise in computational design, geometric reasoning, spatial planning
  • Executive Board Member of the Solid Modeling Association, Associate Editor for Journal of Computer-Aided Design
  • Ph.D., M.S., Mechanical Engineering, University of Wisconsin-Madison; M.Sc., Manufacturing, University of Bath, U.K.; B.E., Mechanical Engineering, RV College of Engineering, India

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  • 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

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  • High fidelity multi-physics modeling with an emphasis in fluid dynamics and tribo-mechanical systems.
  • Focus on implementing multi-physics models for model-based prognostics and condition health monitoring of industrial equipment.
  • Ph.D. in Aerospace Engineering from U.C. San Diego, B.S. in Aerospace Engineering from San Diego State University.

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  • 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

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  • 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.

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  • Experienced with chip, board, FW, SW design and architecture
  • Currently working on IoT Structural Health Monitoring
  • B.S. in Computer Engineering, University of the Pacific. 11 patents.

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  • 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

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  • Principal Scientist in Intelligent Systems Lab
  • Major contributor to W3C Web Ontology Language (OWL)
  • Over 200 publications
  • Fellow of the Association for the Advancement of Artificial Intelligence
  • Ph. D. and M. Sc. in Computer Science, University of Toronto; B. Math, University of Waterloo

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  • 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

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  • 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.

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  • 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.

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  • 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

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  • 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

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  • 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

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  • automating monitoring of printer repair reports 
  • deep learning techniques 
  • M.Sc., Computer Science, University of Saskatchewan

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  • VP of Corporate Growth & Business Operations that includes business development, contract management and project management
  • Previous experience in technology transfer, energy and infrastructure finance, and advanced manufacturing policy
  • Interdisciplinary Degree in Environmental Engineering, Economics and Public Policy from the University of California, Berkeley

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  • 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

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  • 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

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  • 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)

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  • 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

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  • 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

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  • General Manager of the Xerox Cleantech Business
  • commercializing technologies to mitigate greenhouse gas emissions
  • Ph.D. and M.S., Mechanical Engineering, UC Berkeley; S.B., Mechanical Engineering, MIT.

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  • 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

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  • 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.

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  • 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

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  • Research Scientist: Computational physics.
  • Experience in multi-physics modeling, turbulence, uncertainty quantification, computational fluid dynamics, and finite element analysis.
  • Current focus: Process modeling and simulation for metal 3D printing
  • Education: Postdoc, Pediatrics, Stanford University; Ph.D / M.S, Mechanical Engineering, Stanford University, B.S, Mechanical Engineering (Summa Cum Laude), Seoul National University.

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  • behavior recognition and surveillance, computer vision, image processing and artificial intelligence
  • Ph.D., Computer Science, University of South Florida, M.S., Mathematics, Youngstown State University

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  • Head of Hardware Engineering, IoT
  • leading engineering at a new business venture commercializing optical sensing-based health monitoring solution for transportation infrastructure
  • Ph.D., Electrical Engineering, University of Southern California; B.S., Electrical Engineering, Georgia Institute of Technology

 

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  • 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

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  • Leads business development for the Cleantech Tower.
  • Experience encompasses the lifecycle of materials advancement: materials design, development, characterization, and manufacturing systems engineering.
  • M.S. and B.S.E., Biomedical Engineering, Tulane and Purdue; M.B.A., University of Washington.

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  • Principal Scientist, Intelligent Systems
    Laboratory, working on natural language processing and deep learning
  • Previously, Senior Director at the AI Center of Samsung Research
    America; Principal Scientist at Nuance Communications;
    Professor of Linguistics at UCLA
  • Ph.D. Linguistics and Philosophy, Massachusetts Institute of Technology;
    B.A. Philosophy and Psychology, University of Arizona

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  • PARC Research Fellow
  • Manages Human-Machine Collaboration area
  • Principal Investigator for XAI project COGLE
  • AAAI and AAAS Fellow
  • Ph.D., Stanford University

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  • over 15 years of research in AI, with focus on heuristic search, automated planning for single and multiple agents, and automated diagnosis and reasoning. Also, 8 years of experience as a software engineer and project manager.
  • planning and learning in unknown environments, heuristic search, and automated reasoning and design.
  • Ph.D., Software and Information Systems Engineering, Ben Gurion University; M.Sc., Computer Science, Bar Ilan University

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  • 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.

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  • computer vision, pattern recognition, video and image processing
  • B.E, Electronics and Communication Engineering, Anna University, India
  • Holds 2 U.S Patents

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  • Predictive modeling and uncertainty quantification of multiscale/multiphysics systems
  • Deep learning for accelerating decision-making in design
  • PhD, Engineering Physics, UC San Diego; MS, Engineering Physics, UC San Diego; MS, Physics, Katholieke Universiteit Leuven

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  • 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

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  • 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

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  • Chief Scientist for a new venture in IoT Tower at PARC
  • leads a team of scientists and engineers to deliver on development and requisition of state-of-the-art health management product for anomaly detection and remaining useful life estimation of industrial assets.
  • Ph.D., Illinois Institute of Technology, Physics; B.Tech., Indian Institute of Technology, Mumbai, India

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  • GM of the IoT Global Business Unit and New Ventures
  • launching high-growth businesses through incubation, M&A and partnerships
  • previously VP of R&D, and global director of commercialization strategy
  • Ph.D., UC Irvine, Computer Science; M.S., UC Irvine, Networked Systems

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  • 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

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  • Business Development Leader and CRO for IoT Tower
  • overviews the IoT tower revenue and business development around the world
  • MBA in Finance and Operations, University of Pittsburgh, USA
  • B.S Honors in Electrical Engineering, University of Pittsburgh

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  • 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

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  • extensive background in MEMS fabrication and microsystems integration
  • currently focusing on the development of advanced MEMS structures
  • Ph.D. degree from the Department of Mechanical Engineering, University of Colorado at Boulder; M.Eng. degree  from Peking University, Beijing; B.Eng. degree from Xi’an Jiaotong University

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  • 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

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  • Physics-based modeling and simulation engineer with an emphasis on the biological and chemical process industries
  • Computational fluid dynamics, heat and mass transfer, transport phenomena, reduced order modeling
  • Ph.D. Biological and Environmental Engineering from Cornell University, B.S. in Mathematics from Michigan State University, B.S. in Chemical Engineering from Michigan State University

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  • 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

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  • 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

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  • 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

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  • 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.

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  • 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

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  • 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

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“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