Drexel University’s College of Computing & Informatics (CCI) is proud to welcome seven new faculty members during the Fall 2022 Quarter. These new faculty members join CCI’s world-renowned, interdisciplinary faculty body and bring a wealth of professional experience and research expertise that span the computing and information technology fields, including cybersecurity, data science, human-centered computing, human-computer interaction and user experience, social informatics & computing, artificial intelligence and machine learning, software engineering, computer science (CS) and CS education.
Meet CCI's Newest Faculty Members
Michael Cordano, Assistant Professor
After studying mechanical engineering at Rowan University, Michael S. Cordano worked for various defense contractors, providing engineering and cybersecurity support for industrial control systems onboard U.S. Navy vessels. This work evolved into the development of digital models of naval control system networks, designed for ingestion by an advanced cyber vulnerability analysis tool. After receiving a Master’s in Cybersecurity with a concentration in Cyberterrorism, Cordano leveraged an in-depth understanding of control systems to develop and teach a six-module navy control system cybersecurity workforce training program for Naval Sea System Command (NAVSEA). Most recently, he has worked in the research, development, testing, and evaluation of control system cybersecurity tools, directly interfacing with the software development team in The Johns Hopkins University Applied Physics Laboratory.
Cordano has directed penetration testing teams, managed network enumeration tool development, and has built insight-generating, data-linked ontologies both for NAVSEA applications and for academic research. In March 2022, he helped develop an ontology to map and mitigate control system vulnerabilities, presenting the findings at the International Conference on Cyber Warfare and Security. Outside the defense and cyber industries, Cordano is passionate about the psychological and societal implications of social media engagement algorithms and has written on the lack of legal infrastructure in place to protect humans from its dangers. He holds an MS in Cybersecurity (with a concentration in Cyberterrorism) from Wilmington University, and a BS in Mechanical Engineering from Rowan University.
Sean Grimes, Assistant Teaching Professor
Sean Grimes joined Drexel in 2016 as a Computer Science PhD student with a research focus in biologically inspired prediction systems. His research interests include swarm intelligence, multi-agent systems, wisdom-of-crowds, prediction markets, and other classification and prediction methods. Prior to joining Drexel, Sean worked with a start-up company focused on gathering opinions from crowds, distilling the raw information, and presenting it in an impactful way. In addition to his PhD in Computer Science from Drexel CCI, he received his BS in Neuroscience from Ursinus College.
Brian Mitchell, Teaching Professor
Brian Mitchell's career has spanned both industry and academia, most recently holding the Distinguished Engineer role at a Fortune 15 company. He provided technical thought leadership and directed teams responsible for driving disruptive digital innovation that led to the creation of multiple generations of safety-critical products that help millions of people every day. Brian also has more than 20 years of teaching experience in a variety of areas including software engineering, software architecture, operating systems, networks, computer architecture, programming languages, and distributed systems. His recent research interests include exploring several interesting problems at the intersection of software engineering and cloud native computing. Previously, he was one of the founders of the Search-Based Software Engineering research space, publishing many influential papers focused on recovering software architecture insights directly from source code. He holds BS, MS and PhD degrees in Computer Science, and an ME in Computer & Telecommunication Engineering.
Daniel Moix, Associate Teaching Professor (Joint appointment with the School of Education)
Daniel Moix has taught computer science at the high school and college levels since 2003. He was a recipient of the 2015 Presidential Award for Excellence in Mathematics and Science Teaching and the 2016 Awards for Teaching Excellence in Computer Science. Before joining the faculty at Drexel, Moix developed curriculum and provided support to new high school computer science teachers across Arkansas. He holds an MSE in Curriculum & Instruction from Arkansas State University, a Graduate Certificate in Cyber Education from Louisiana Tech University, and a BS in Computer Science from Henderson State University
Afsaneh Razi, Assistant Professor
Afsaneh Razi’s research expertise is positioned at the intersection of Human-Computer Interaction (HCI) and machine learning (ML) to solve sociotechnical issues using human-centered approaches. Her research and teaching areas include HCI, social computing, privacy, ethics and online safety. Her work strives to deeply understand societal issues and identify ways that those could be meditated using technology. She completed her PhD in Computer Science at the Socio-Technical Interaction Research (STIR) Lab at the University of Central Florida. Her doctoral research was supported by NSF which addresses the critical and timely problem of adolescent online safety by leveraging a multi-disciplinary approach of human-centered machine learning to accurately detect risks teens encounter online.
She has a record of research publications from ACM’s premiere Conferences on Human Factors in Computing Systems (CHI) and Computer-Supported Cooperative Work (CSCW), as well as the Conference of the Association for the Advancement of Artificial Intelligence (AAAI) and IEEE Transactions on Medical Imaging (T-MI). She received Honorable Mention Award at CHI and NSF INTERN Funding. She also has experience working on fast-paced product projects using mix-methods in industry as a user experience researcher. The novelty of her work comes through filling the gaps between the techniques in HCI, natural language processing (NLP), and the domain of online safety for vulnerable populations to develop practical solutions to make online interactions safer.
She holds a PhD in Computer Science and an MS in Computer Science from the University of Central Florida; an MS in Software Engineering from Islamic Azad University Central Tehran Branch; and a BS in Computer Science from the University of Tehran.
John Seberger, Assistant Professor
John S. Seberger is an interdisciplinary scholar whose human-centered work crosses boundaries between Human-Computer Interaction (HCI), social informatics, information studies, and humanistic psychology. Using quantitative, qualitative and conceptual analysis, his work focuses on how people experience their daily worlds through and by means of computational technologies (e.g., apps, IoT devices, AI agents) and how such experience relates to contemporary transformations in historical discourses, such as 'privacy,' 'the self,' and 'the human.' He is passionate about dignity, equity, emerging ontologies and hopeful futures grounded in human resilience.
Prior to joining CCI, John has worked as a Postdoctoral Fellow at UCI (Informatics), Indiana University (Informatics), and Michigan State University (Communications) in addition to working as a Senior Fellow in the Faculty of Media at Bauhaus University Weimar. He is a core member of the Re:Enlightenment research collective and a former graduate fellow of the Intel Science and Technology Center for Social Computing. He publishes award-winning work across a range of communities, including the ACM Conference on Human Factors in Computing Systems (CHI) and the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). He holds a PhD in Information and Computer Science from University of California, Irvine (UCI), an MLIS from University of Pittsburgh, an MSc in Research Methods in the Psychology of Music from Keele University, and a BA in Psychology from Kenyon College.
Zhibo "Eric" Sun, Assistant Professor
Eric Sun’s research interests lie broadly in the area of computer security and privacy with an emphasis on human-centered analysis, aiming to identify human vulnerabilities and patch them to make people safer in cyberspace. Eric investigates real-world computer security problems and human vulnerabilities by using a mix of data-driven analytics, quantitative and qualitative analysis, machine learning, crime science, and system design. In particular, some of his research includes e-crime, threat intelligence, underground economies, Internet fraud and Web security. He holds a PhD in Computer Science from Arizona State University and an MS in Computer Science from the University of Wyoming.