Google Cloud Faculty Experts Program

Get recognized for helping educators learn about Google Cloud

Professor giving a lesson with a large screen on the back

The Faculty Experts program rewards Google Cloud’s top faculty advocates with professional development, recognition, networking opportunities, and access to Google developers for helping other educators explore the benefits of Google Cloud in the classroom.

Why join?

As a member, you’ll get access to benefits including admission to Google conferences and events, speaking opportunities, additional faculty credits, and more.

  • None

    Exclusive access

    • Early access to new product features
    • Access to Google Cloud events and summits
    • Support from Google developers
    • Program swag and gear

  • None

    Professional development

    • Special training days at events like Google I/O, NEXT, and Cloud Summits
    • Monthly office hours
    • One year access to Coursera and Qwiklabs training
    • One free Google Cloud certification exam
    • $1,000 in additional faculty credits

  • None

    Expand network and exposure

    • Meet other cloud educators in our community groups
    • Get invitations to speak at industry events
    • Be featured in videos, case studies, blog posts, and other faculty resources

Applications for the 2021 Faculty Experts cohort are closed.

Join the Google Cloud Faculty Community for the latest news.

How to apply

We’re seeking faculty and researchers who exhibit strong knowledge and use of Google Cloud in the classroom as evidenced in their resume, and support from campus leadership.

Apply now
Follow our application checklist.
Online application Icon

Online application

Submit the online application form with resume.

Phone interview Icon

Phone interview

Attend a brief phone interview to discuss advocacy opportunities.

Letter of support Icon

Letter of support

Submit a letter of support from your department and sign an NDA.

Review eligibility criteria

  • Minimum 1 year of teaching experience in higher education

  • Show significant use of Google Cloud in the classroom

  • Be passionate about sharing your GCP knowledge with others through workshops, tutorials, academic papers, blog posts, etc.


Faculty Experts 2020 Cohort

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  • Alexander Afanasyev

    Alexander Afanasyev

    Assistant Professor at Florida International University, Miami, FL

    Alexander Afanasyev is an Assistant Professor in the School of Computing and Information Sciences in Florida International University. His main research focus is on the next generation Internet architecture as part of the Named Data Networking (NDN) project; and his research interests include a variety of topics that are vital for the success of NDN, including scalability of name-based routing, auto-configuration, distributed data synchronization, application and network security. Alexander is also leading the development effort of the overall NDN codebase.

    Faculty website
  • Spyros Angelopoulos

    Spyros Angelopoulos

    Assistant Professor at Tilburg University, Tilburg, The Netherlands

    Spyros Angelopoulos is an Assistant Professor in Information Management at the Tilburg School of Economics and Management of the University of Tilburg, in the Netherlands. Previously, a Research Fellow at the InterDisciplinary Institute of Data Science, at the Università della Svizzera italiana, in Switzerland and the Horizon Digital Economy Research Institute of the University of Nottingham, in the UK. He holds a PhD in Information Systems and Management from Warwick Business School, in the UK, a Diploma (equivalent to MEng) in Production Engineering and Management, as well as an MSc in Organization and Management from the Technical University of Crete, in Greece.

    Faculty website
  • Shreenidhi Bharadwaj

    Shreenidhi Bharadwaj

    Adjunct Faculty at University of Chicago & Northwestern, Chicago/Palo Alto

    Shree Bharadwaj is a data enthusiast and an analytics practitioner with expertise in Innovation and Strategy (AI, Data, Product & Platforms), M&A Due Diligence, post-close Value Creation and Digital Transformation. With 20+ years of experience, Shree has been successful in aligning future state with corporate goals, driving major transformation initiatives and large-scale M&A integrations at Fortune 100 companies.

    Faculty website
  • Massimo Canonico

    Massimo Canonico

    Assistant professor at University of Piemonte Orientale, Alessandria - Italy

    Since 2006, Massimo Canonico has been an assistant at the Computer Science Institute of the University of Piemonte Orientale (Italy) where he is a member of the Distributed systems research lab. He received the Ph.D. in Computer Science from the University of Torino (Italy), in 2006 and the Laurea degree summa cum laude in Computer Science from the University of Piemonte Orientale, in 2002. He also was a Research scholar at the Department of Computer Science, University of California (S. Barbara) in 2005.

    Faculty website
  • Michele Catasta

    Michele Catasta

    Research Scientist at Stanford University, Stanford, CA

    Michele Catasta is a Research Scientist and Instructor at Stanford University, working in the Statistical Machine Learning group. His research revolves around Machine Learning applied to a variety of applications and domains. He graduated at EPFL with a Ph.D. in Computer Science and has worked for MIT Media Lab, Google, and Yahoo Labs.

    Faculty website
  • Mark W. Dunn

    Mark W. Dunn

    Adjunct Professor at La Roche University, Pittsburgh, Pennsylvania

    Mark W. Dunn is a computing and education enthusiast. Dedicated to developing and enriching the next generations of computing and education leaders.

  • Jens Ehlers

    Jens Ehlers

    Professor at Lübeck University of Applied Sciences, Lübeck, Germany

    Jens Ehlers has been working as a Professor of Data Management at the Lübeck University of Applied Sciences in Germany since 2015. He teaches students in Data Management, Machine Learning, Distributed Databases, Software Engineering, and Web/Mobile Application Development. Previously, he has been a software engineer and project lead in the banking domain.

    Faculty website
  • Chadi El Kari

    Chadi El Kari

    Associate Professor at University of the Pacific, Stockton, CA

    Chadi joined the computer science faculty at the University of the Pacific in the fall of 2014. Prior to joining Pacific, Chadi received his Ph.D. in computer science from the University of Connecticut. His research focuses on topics in distributed computing, combinatorial optimization and cybersecurity.

    Faculty website
  • Rob Elliott

    Rob Elliott

    Senior Lecturer at Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA

    Rob Elliott is a Senior Lecturer in the Purdue School of Engineering and Technology at IUPUI where he teaches courses related to software development and notably the winner of the 2020 IU President’s Award for Distinguished Teaching. A devotee of “active teaching,” his scholarship and dissemination focuses on practical application for fellow instructors to provide tools that can be immediately incorporated into their courses. He is also a continual thorn in the side of anyone who tries to stand in the way of innovation in the classroom.

    Faculty website
  • Israel Emmanuel

    Israel Emmanuel

    Program Director Cybersecurity and Big Data Analytics at Century College & Metro state University, Saint Paul, Minnesota & Washington State

    Israel Emmanuel is the Lead Instructor for the Cybersecurity, Virtualization and Forensics (CVF) program at Century College, one of Minnesota's largest two-year colleges. Israel pioneered the CVF at Century and with collaboration of other faculty developed the curriculum and associated degree and certificate programs. Israel has more than 19 years of experience in IT security, computer forensics, vulnerability, intrusion detection/prevention, and incident response.

    Faculty website
  • Wu-chang Feng

    Wu-chang Feng

    Professor at Portland State University, Portland, OR

    Wu-chang Feng is a professor of Computer Science at Portland State University where he works on building capture-the-flag games and codelabs for teaching students a range of topics including web application exploitation, cloud security, blockchain vulnerabilities, reverse engineering, fuzzing, and symbolic execution. He also works on security education outreach to high-school students and teachers via camps and internships through CyberPDX and Saturday Academy.

    Faculty website
  • Derek Foster

    Derek Foster

    Associate Professor at School of Computer Science, University of Lincoln, Lincoln, UK

    Derek Foster's teaching and research encompasses the Cloud, Mobile and IoT areas of computing in the design, development, and evaluation of connected and scalable software systems.

    Faculty website
  • Erik Fredericks

    Erik Fredericks

    Assistant Professor at Grand Valley State University, Allendale, MI

    Erik Fredericks is a former software developer turned software engineering researcher and teacher. As he states, "Problems with no obvious solution, especially those in real-world systems, that can be solved via search heuristics or self-adaptation interest me. Also, any excuse to incorporate cloud-based technologies into my classroom is welcome!"

    Faculty website
  • Diego Gachet

    Diego Gachet

    Full-time Professor at Universidad Europea de Madrid, Madrid, Spain

    Professor Diego Gachet Páez holds a PhD. degree in Telecommunications Engineering and is a member of Internet of Things Emerging Technical Subcommittee of the IEEE Communication Society, guest editor at Health Informatics journal and Technical Chair of HealthyIoT 2015/ 2016. Previously working on research topics focused in Sensor Networks, Ubiquitous Computing, Internet of Things IoT, Ambient Assisted Living and Information Processing related with Health and Well Being, Diego's pays special attention to reliable and scalable architectures, Big-Data and real time sensor information processing. Is author of more than 70 articles both in scientific journals and congress proceedings.

    Faculty website
  • Mark Hills

    Mark Hills

    Associate Professor at East Carolina University, Greenville, NC, USA

    Mark Hills research focuses on the following areas: static and dynamic program analysis, empirical software engineering, software analytics, software repository mining, automated refactoring, programming language semantics, and program verification. He teaches courses in software engineering, software development, and programming languages. Mark has interests in learning how to integrate the cloud into all his classes, and in helping other faculty do this effectively.

    Faculty website
  • Jeremy Jacobson

    Jeremy Jacobson

    Lecturer at Emory University, Atlanta, GA, USA

    Previous to joining the Department of Quantitative Theory and Methods, Dr. Jacobson has been a Visiting Assistant Professor in the Department of Mathematics and Computer Science at Emory University. Prior to joining Emory, Dr. Jacobson taught at the University of Georgia and was a Fields Postdoctoral Fellow at the Fields Institute, Canada.

    Faculty website
  • Amir Jafari

    Amir Jafari

    Adjunct Assistant Professor and Lead Data Scientist at The George Washington University, Washington, DC

    Amir Jafari is an Adjunct Assistant Professor with the Data Science Program, George Washington University, Washington, DC, USA. He is also a Google Cloud Faculty Expert. He has been conducting research in the areas of neural network design, statistical modeling, artificial intelligence, and predictive modeling for the last ten years. His research has encompassed a variety of application areas: machine learning, deep learning, artificial intelligence, natural language processing, statistical modeling, signal processing, dynamic systems, neural network training, and optimization.

    Faculty website
  • Karen Jin

    Karen Jin

    Assistant Professor at University of New Hampshire, Manchester, NH

    Karen Jin is an assistant professor in computer science at University of New Hampshire at Manchester NH. Her research interests are AI and computing education. She has developed an ML Applications and Tools course, and also teaches the Google Applied Computing Series.

    Faculty website
  • Raja Kushalnagar

    Raja Kushalnagar

    Professor and Director, Information Technology Program at Gallaudet University, Washington, DC

    Raja Kushalnagar is the Director of the Information Technology program in the Department of Science, Technology and Mathematics at Gallaudet University in Washington, DC. Primarily teaching human-centered computing with a focus on accessible computing, and application development courses. He teaches cybersecurity related courses at both the introductory and specialized levels and also has research interests in the fields of accessible computing and accessibility/intellectual property law, with the goal of improving information access for deaf and hard of hearing individuals. In the accessible computing field, Raja investigates information access disparities between hearing and deaf such as investigating how deaf individuals acquire information through speech-to-text (e.g., enhanced captions that provide visual cues to non-speech information).

    Faculty website
  • Robert J. Lutz

    Robert J. Lutz

    Associate Professor and Chair of Studies at Georgia Gwinnett College, Lawrenceville, Georgia

    Prior to his current appointment, Robert worked in aerospace and the computer technology industries as: a scientific programmer, systems engineer, researcher, developer and lead architect. In the architect role, he was responsible for the identity subsystem of a cloud product offering. He has brought that experience to the academy in their Information Technology program, as both faculty member and Chair of Studies.

    Faculty website
  • Bill Nicholson

    Bill Nicholson

    Associate Professor Educator at University of Cincinnati, Cincinnati, OH

    In the words of Professor Nicholson, "Computer Science rocks!"

    Faculty website
  • Sang-Yun Oh

    Sang-Yun Oh

    Assistant Professor at University of California, Santa Barbara, Santa Barbara, California

    Sang-Yun Oh is a computational statistician, and he enjoys using the latest cloud technology and open-source software in his research as well as through teaching in his data science courses.

    Faculty website
  • Marco Papa

    Marco Papa

    Adjunct Assistant Professor of Computer Science Practice at University of Southern California, Los Angeles, CA

    Marco Papa is a former CTO of various internet companies and currently a teaching professor at the University of Southern California.

    Faculty website
  • Jayashree Ravi

    Jayashree Ravi

    Adjunct Faculty at Wayne State University and Lawrence Technological University, Detroit, Southfield

    Jayashree Ravi is a seasoned professional with decades of industry experience which includes positions in design, manufacturing, project management, and software development. Jayashree Ravi not only teaches at Wayne State University, Lawrence Technological University but is also the founder of Mobi Boot Camp Corp., a company involved in training students in all the cutting edge technologies of today which includes Data Science/Engineering, Java Enterprise and Web/Front End Development, Mobile Application Development and Cloud Computing.

    Faculty website
  • Robert Ray

    Robert Ray

    Instructor at Butler Community College, Kansas

    Former software developer, now Lead for Software Development at a Community College. Currently working with homeless providers and communities to use data science and machine learning to improve reporting and decision making.

  • Mohammad Soltanieh-ha

    Mohammad Soltanieh-ha

    Clinical Assistant Professor at Boston University, Boston, MA

    Mohammad Soltanieh-ha is a Clinical Assistant Professor at the Information Systems department at Boston University’s Questrom School of Business. Mohammad's current research interest revolves around computer vision applications in automating cancer diagnosis as well as large-scale high-performance computing. His teaching experience includes data science programming, big data analytics, and applications of data science in business.

    Faculty website
  • Adisak Sukul

    Adisak Sukul

    Associate Teaching Professor at Iowa State University Ames, IA

    Adisak Sukul's passion is to coach using practical data science and machine learning to solve challenging problems. He has extensive experience in teaching, coaching, and managing a team for end-to-end data project(s). He is also a hands-on practitioner with excellent academic and industrial skill sets previously working within academics, government, and businesses internationally with specialties in the following areas: Applied Machine Learning, Data Science, Big Data Analytics, Online Learning, and Training content development.

    Faculty website
  • Posco Tso

    Posco Tso

    Senior Lecturer (Associate Professor) at Loughborough University, Loughborough, England

    Posco Tso is a technology enthusiast. He enjoys using technologies to flip his classroom when having his teacher's head on. When acting as a researcher, he likes diving to computer networks and systems.

    Faculty website
  • Maurice Tyler

    Maurice Tyler

    CIO/Adjunct Professor at Cecil College, North East, MD

    Maurice Tyler is the Chief Information Officer and Adjunct Computer Science Professor at Cecil College.

    Faculty website
  • Byron J. Wufka

    Byron J. Williams

    Associate Professor at University of Florida, New Westminster, Gainesville, FL

    Byron Williams is an Associate Professor in the Department of Computer & Information Science & Engineering at the University of Florida. Dr. Williams's research has focused on the intersection of software engineering and cybersecurity. Specifically, his research interests include investigating approaches to secure software development, vulnerability assessment using static and dynamic analysis, and security modeling applying statistical and machine learning techniques.

    Faculty website
  • Michael Wufka

    Michael Wufka

    Instructor (Regular Faculty) at Douglas College, New Westminster, BC, Canada

    Dr. Wufka holds an undergraduate and MSc-level degree in Computer Science from the University of Technology in Darmstadt, Germany and a PhD in Information Systems from the University of British Columbia in Vancouver. He also has several years of experience in the system integration / IT consulting field. He loves to share his excitement for the opportunities of cloud computing with his students.

  • Jason Xiong

    Jason Xiong

    Assistant Professor at Appalachian State University, Boone NC

    Dr. Jason (Jie) Xiong is an Assistant Professor of Computer Information Systems in the Walker College of Business at Appalachian State University. Dr. Xiong's research focuses on IT for Development (IT4D), E-Commerce, and the value of Information Systems.

    Faculty website
  • Hui Yang

    Hui Yang

    Associate Professor at San Francisco State University, San Francisco, CA, USA

    Hui Yang received her Ph.D. in computer science from the Ohio State University. She currently works in the Computer Science Department at San Francisco State University. She enjoys teaching and applying data mining/machine learning to address real-world problems.

    Faculty website
  • Huaxi (Yulin) Zhang

    Huaxi (Yulin) Zhang

    Associate Professor at University of Picardy Jules Verne, Amiens, France

    Yulin Zhang is an associate professor, who works on Cloud and robotics. She loves programming and adventures.

    Faculty website

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Google is pleased to provide educational institutions whose members participate in the Faculty Experts program with attendance at related events and things of value at no cost where appropriate under applicable laws. Google may be required to report things of value provided to government officials, seek approval from your institution, or invoice you to avoid making an impermissible gift. Please contact if you have any questions, or if you’d like to reimburse Google for anything provided.

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