Faculty Directory
Ellick Chan

Adjunct Lecturer


2145 Sheridan Road
Evanston, IL 60208-3109

Email Ellick Chan


Industrial Engineering and Management Sciences


Master of Science in Machine Learning and Data Science Program


Postdoctoral Scholar, Stanford University, August 2014

PhD, Computer Science, University of Illinois at Urbana-Champaign, 2011

MBA, Business Administration, University of Illinois at Urbana-Champaign, 2011

MS, Computer Science, University of Illinois at Urbana-Champaign, 2004

BS, Computer Engineering, University of Illinois at Urbana-Champaign (with highest honors), 2004

Siebel Scholarship, 2004


Dr. Ellick Chan is passionate about bringing advanced artificial intelligence technology to students. He has taught deep learning in Northwestern's data science program for the past 3 years and he extends his commitment to AI education at Intel where he leads university relations and research worldwide for the Intel® AI Academy. Dr. Chan holds 3 computer science degrees and an MBA from the University of Illinois where he studied operating systems and security. He brings this deep technical expertise to optimize AI systems. Dr. Chan has also worked as a postdoc at Stanford University and as a deep learning consultant serving many industries including defense, automotive and healthcare.

Selected Publications

Yee R, Chan E, Senatore C, Cheng B, Bansal G. Collaborative Perception for Automated Vehicles Leveraging Vehicle-To-Vehicle Communications. Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, June 2018.

Chan E, Lam P, Mitchell J.  Understanding the challenges with medical data segmentation for privacy.  USENIX Workshop on Health Information Technologies, August 2013.

Cui W, Peinado M, Xu Z, Chan E.  Tracking rootkit footprints with a practical memory analysis system.  Proceedings, 21st USENIX Security Symposium, USENIX, August 2012.

Chan E, Venkataraman S, Tkach N, Larson K, Gutierrez A, Campbell R.  Characterizing data structures for volatile forensics.  IEEE Systematic Approaches to Digital Forensic Engineering (SADFE), 2011.  Best student paper award; best presentation award.

Chan E, Venkataraman S, Chaugule A, Campbell R.  Forenscope:  A framework for live forensics.  Annual Computer Security Applications Conference (ACSAC), 2010.

Chan E, Chaugule A, Larson K, Campbell R.  Performing live forensics on insider attacks.  Proceedings, CAE Workshop on Insider Threat, 2010.

Farivar R, Verma A, Chan E, Campbell R.  MITHRA:  Multiple data Independent Tasks on a heterogeneous resource architecture.  IEEE Cluster, 2009.

David F, Chan E, Carlyle J, Campbell R.  CuriOS:  Improving reliability through operating system structure.  USENIX Symposium on Operating Systems Design and Implementation, December, 2008.

Chan E, Carlyle J, David F, Farivar R, Campbell R.  BootJacker:  Compromising computers using forced restarts.  ACM Conference on Computer and Communications Security, October, 2008.

David F, Chan E, Carlyle J, Campbell R.  Cloaker:  Hardware supported rootkit concealment.  IEEE Symposium on Security and Privacy, May, 2008.