Simon Woo

About me
Simon Woo ◼ SKKU Fellowship Professor, 2022 (News)
◼ Early tenure is granted in 2024
◼ Ph.D. Computer Science, University of Southern California (USC) , Los Angeles, CA, USA
◼ M.S. Computer Science, University of Southern California (USC) , Los Angeles, CA, USA
◼ M.S. Electrical and Computer Engineering , University of California, San Diego (UCSD) , CA, USA
◼ B.S. Electrical Engineering, University of Washington (UW), Seattle, WA, USA
◼ Lynnwood High School, Lynnwood, WA, USA
(Fluent in Korean and English)
Education/Research Statements (Not Technical)

1. I would like to train students to get out of their comfort zone, and challenge themselves to become better persons not necessarily technically, but also be mindful and open to differences

2. I want my students to aim higher, to be open, competitive, cooperative, and recognized globally on the things that they are working on or good at (Either being the best at SKKU or Korea is not our goal. We look beyond…)

3. Last but not least, I strive to create the positive synergy and co-work between Korean and International students/scholars. And, I believe in that different people can help each other

Work Experience
◼ Currently, Tenured Associate Professor at SKKU affliated with, 2019-
- Applied Data Science (데이터사이언스)
- CSE (소프트웨어/융합보안대학원)
- Applied AI Dept.(인공지능융합학과)
- AI (인공지능학과)
- 지능형소프트웨어학과
◼ Research Assistant Professor, Stony Brook University (SBU), Stonybrook, NY, 2017-2019
◼ Assistant Professor, The State University of New York (SUNY), Korea, 2017-2019
◼ Member of Technical Staff, NASA Jet Propulsion Lab (JPL), Pasadena, CA, 2005-2014
◼ Verisign Research Lab, Reston, VA, 2016
◼ Intel Corp 2001, 2002 (Co-op Intern)
◼ Part-time cook at Burger King, Waiter & Dishwasher, once upon a time in highschool/college years
Research Interests
◼ Generative AI Model (Some Media Coverages: 중앙일보, 경향신문, 아리랑TV)
◼ AI Security
◼ Deepfake Detection and Generation
◼ Time Series Analysis/Anomlay Detection
◼ Computer Security (Usable Security, Blockchain, Intrusion/Anomaly Detection)
◼ Satellite Image Processing, Object Detection, Communications and Protocols
◼ DataScience
International Honors and Awards
◼ 2024 The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Best Paper Running-Up Award (2nd Place Best Paper out of 720 papers)
◼ 2023 The 38th ACM/SIGAPP Symposium on Applied Computing (SAC), Best Paper Award (AI and Agents) (ACM Best Paper Awards Archive)
◼ 2023 Invited for Schloss Dagstuhl (Leibniz Center for Informatics) on 23021 Media Forensics and the Challenge of Big Data
◼ 2021 PLP 2021: Workshop on Programming Language Processing, Best Paper Award, 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
◼ 2016 The 17th World Conference on Information Security Applications (WISA), Best Paper Award, Korea
◼ 2003 Mary Gates Scholar, University of Washington, Seattle, USA
Services
◼ 2024-2025 KDD Research Track Area Chair
◼ 2024 CIKM Senior PC on Resource/Demo Track
◼ 2024 IJCAI Web Chair
◼ 2024 ACML Area Chair
◼ Conference/Workshop Charing: ACM CoNext Finance Chair (2017), EAI CyDiP Technical Program Committee Chair (2021)
◼ TPCs: SecureComm (2019, 2020), SOUPS (2020), TheWebConf (WWW) (2000, 2021, 2022, 2024), ACM SAC Machine Learning Application Track (2020, 2021), ECCV (2020, 2024), ACCV (2021, 2024), BMVC (2022), ICCV, (2023), Cyber Security Experimentation and Test (CSET) Workshop (2021), CIKM (2020, 2021, 2022, 2023, 2024), AAAI (2022, 2023, 2024), KDD (2022, 2023, 2024), IJCAI (2022, 2023, 2024), WACV (2021, 2022, 2024), ICML (2023, 2024), CVPR (2023, 2024), ICPR (2024), SDM (2024), NeurIPS (2023, 2024)
◼ Journals: TIIS Editor (2019-2021), IEEE TIFS (2019), AIAA Journal of Aerospace Information Systems (2020)
◼ Session Chair: ACM SAC MLA (2021, 2024), TheWebConf (2021, 2024), ACM CCS (2021), PAKDD (2024)
◼ Workshop Organizers:
- ACM AsiaCCS Workshop on the security implications of Deepfakes and Cheapfakes (WDC) Organizer (2022, 2023, 2024) at ACM AsiaCCS
- The 1st International Workshop on Anomaly and Novelty detection in Satellite and Drones systems (ANSD) at CIKM 2023, Birmingham UK
- The First International Workshop on AI-Driven Modeling and Management of Data (AIMM 2024) at International Conference on Conceptual Modeling (ER) 2024, Carnegie Mellon University, PA, USA
Course
◼ ADS (Graduate) Data-driven Security (2020F)
◼ ADS (Graduate) Data Science Application (2019F, 2020S)
◼ CSE (Undergraduate) Computer Security (2019F)
◼ CSE (Undergraduate) Probability and Random Processes (2020S)
◼ ADS (Graduate) Data Science MS Thesis Supervision (2019S, 2019F, 2020S, 2020F)
◼ CSE 215 Discrete Math (Undergrad) (2018F)
◼ CSE 517 Science for Society II (Gradaute) (2018S)
◼ CSE 353 Machine Learning (Undergrd) (2018S)
◼ CSE 512 Machine Learning (Graduate) (2018S)
◼ CSE 509 Systems Security (Graduate) (2017F)
◼ Security Seminar (Fall/Spring)
Contact me
Openings for Post-Doc, Ph.D./M.S students, and highly motivated undergrads, interested in vision, time-series, anomaly detection, security and privacy, and Satellite systems/networking.
Email me for a chat(swoo @ g dot skku dot edu)
우리 연구실은 단순 성균관대 졸업장이 아니라, 좋은 연구를 하고, 좋은 논문을 쓰고 싶은 highly motivated한 석사/박사, 포닥분들 모집, who want to make a difference in the field and future!
→CS 석/박사지원 융합보안대학원
→인공지능학과 석/박사지원
→인공지능융합학과 석/박사지원
→학석연계 email me