Works-In-Progress (WiP) Session Presenters
S P E C I A L W O R K S H O P S E S S I O N - W O R K S I N P R O G R E S S (W i P)
In keeping with the goal of collaborative community engagement, this year’s Symposium will again feature a special working session for works in progress (WiP). WiP papers offer an opportunity for authors to get early feedback on a research direction, technology, or idea before it has been fully evaluated, or to discuss systems in an early, pre-prototyping phase. WiP authors will appear on stage with a discussant for up to one hour of in-depth discussion of their submission. Authors are expected to incorporate session feedback into revisions of their manuscript prior to their next submission for publication. Manuscripts accepted for discussion will not be published at the symposium, and access to the submissions will remain confidential and be restricted to session attendees.
Attendees have an opportunity to receive advance copies of the unpublished manuscripts to help further the discussion. If you would like to receive advance copies for a session, please send an email to hotsos2020[at]cps-vo.org noting the title of paper.
SESSION 1: Tuesday, September 22 at 2:00pm
Sohaib Kiani is currently a PhD-Computer Science candidate in University of Kansas. His research interests include Adversarial Machine Learning and applications of machine learning algorithms for various security applications. He did his MS in Information Technology from RWTH Aachen, Germany and BS in Communication Engineering from NU-FAST Islamabad, Pakistan.
Michael Bechtel is a Computer Science Ph.D. candidate at the University of Kansas. His current research interests include Real-Time Systems, Embedded Systems, and Machine Learning. He received a B.S. in Computer Science from the University of Kansas in 2017.
SESSION 2: Wednesday, September 23 at 1:45pm
Hao Xue graduated from the University of Kansas and got his PhD Degree in Computer Science in Aug 2019. During his PhD program, his research interests are online spam review detection and information security.
Ryan Karl is a 4th year graduate student in the Department of Computer Science and Engineering at The University of Notre Dame. He is broadly interested in Theoretic/Applied Cryptography and Computer Security, and focuses on leveraging trusted computing platforms to provide practical solutions to problems in Secure Multiparty Computation, Secure Aggregation, and Machine Learning. He holds a B.S. in Mathematics from Saint Vincent College.
SESSION 3: Thursday, September 24 at 2:45pm
Tsion Yimer received her B.S. degree in Electrical Engineering from New Jersey Institute of Technology (NJIT) in 2015, and the M.S. degree in Electrical Engineering from the University of Morgan States, Baltimore, Maryland in 2017. She is currently a Cybersecurity Assurance & Policy (CAP) Center Doctoral Fellow at Morgan State University located in Baltimore, Maryland. Her research interests include IIoT security, intrusion detection system, and hardware security.
Sana Awan is currectly a PhD-Computer Science Candidate at the University of Kansas. Her area of research is Cybersecurity, particulary security in the Internet of Things domain. She designed and implemented network security solutions and intrusion detection systems that employ machine learning to improve security while maintaining reliability and continued deployment. She did her MS in System Engineering from University of Maryland, USA and BS in Electrical Engineering from NUST Islamabad, Pakistan.