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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.

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.

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.

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 Visitor scholar at the Department of Computer Science, University of California (S. Barbara) in 2005.

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.

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

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.

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.

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.

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.

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.

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.

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!"

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.

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.

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.

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.

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.

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).

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.

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

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.

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

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.

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 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.

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.

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.

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

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.

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.

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.

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.

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