About me

About me

Welcome to my home on the web! My name is Frank, I am a fifth year Ph.D. student in Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC). My academic advisor is Prof. David M. Nicol.


My research at UIUC lies at the intersection between network security, graph theory, probability theory, and quantitative risk. My first goal is to develop a theoretical framework for expressing uncertainty in modeling of multi-step cyber-attacks. My next goal is to design efficient algorithms based on Monte Carlo methods for quantifying the impacts of cyber-attacks against networked computer systems. The estimated impact will help network defenders make quantitative and risk-informed defense decisions prior to and during a cyber-attack.


Prior to Illinois, I worked for four years (2011-2015) 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. 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 undergraduate 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

Office: 448, Coordinated Science Lab, 1308 W Main St, Urbana, IL 61801
Email: nhh311(at)gmail(dot)com
Phone: (217) 751-2eight4six


Announcement

March 14th, 2022: My 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: My 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: I'm excited 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".