About me
Welcome to my home on the web! My name is Frank, I am currently a Software Engineer (SDE-II) at Amazon AWS.
Before joining Amazon, I was an ECE Ph.D. student from the University of Illinois Urbana-Champaign (UIUC) under Prof. David M. Nicol. My research combined network security, graph theory, probability theory, and quantitative risk to answer a fundamental question "how to accurately and efficiently estimate the risk of cyber-attacks against networks?" The answer to the question helps network defenders make timely, optimal, and risk-informed defense decisions proactively and reactively--i.e., prior to and during a network breach.
Prior to Illinois, I worked for four years as a full-time Software Engineer at the Advanced Digital Sciences Center (ADSC), a Singapore-based research center established and led by UIUC and funded by Singapore's Agency for Science, Technology, and Research (A*STAR). I worked with Prof. Ravishankar Iyer, Prof. Zbigniew Kalbarczyk, Prof. David Yau, Prof. Rui Tan, Prof. Binbin Chen, and Dr. Daekwoo Jung on smart grid security, demand response, building energy efficency, and wireless sensor networks.
I got my bachelor degree in Computer Engineering from the School of Computing, National University of Singapore (NUS) in 2011. In my undergrad thesis, I designed a control scheme to save mobile device's battery power by adapting the LCD screen brightness level to the ambient light and the running applications.
Contact
Email: nhh311(at)gmail(dot)com
Phone: (217) 751-2eight4six
Phone: (217) 751-2eight4six
Announcement
September 06th, 2022: Happy to share that I have joined Amazon AWS as a Software Engineer (SDE-II).
May 24th, 2022: I passed the doctoral final examination! The title of my thesis is “Modeling and analysis of trustworthy systems using extensions of network reliability”. </div>
March 14th, 2022: Our paper "Exploiting monotonicity and symmetry for evaluation of highly dependable systems" has been accepted to the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2022).
February 23rd, 2022: Our paper "A model-based approach for quantitative decision-making in cybersecurity incident response", has been accepted to the 9th Annual Hot Topics in Science of Security, Special Session on Works-in-Progress (HotSoS 2022).
February 20th, 2022: Happy to share that I will be working at iManage as a Data Science Intern this summer. My role is to work on various algorithms and use Natural Language Processing (NLP) methods to "rigorously measure the product quality, improve enterprise products, and understand the behavior of end-users".