VT Department of Computer Science
Highlights: October-December 2022

Publications, Scholarship, and Research Recognitions

1. Wu Feng's 2005 paper was recognized at SC22 with the Test of Time Award. Wu's paper, "A Power-Aware Run-Time System for High Performance Computing," was co-authored with Chung-hsing Hsu (ORNL).
2. Tijay Chung is co-author on a paper that received a best paper honorable mention award at the ACM Conference on Computer and Communications Security (CCS 2022). The paper is titled "Hammurabi: A Framework for Pluggable, Logic-based X.509 Certificate Validation Policies."
3. Na Meng is co-author on a paper that was recognized with the best paper award at the Symposium on Dependable Software Engineering (SETTA 2022). The paper, "Mastery: Shifted-Code-Aware Structured Merging," is joint work with colleagues at Tsinghua University.
4. Students Alex Giovannelli and Lee Lisle, and their advisor Doug Bowman received the Honorable Mention best paper award at IEEE ISMAR 2022 for their paper "Exploring the Impact of Visual Information on Intermittent Typing in Virtual Reality".
5. CT Lu and PhD students Shailik Sarkar, Abdulaziz Alhamadani, and Lulwah Alkulaib received the best paper award at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2022) for their paper "Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach."
6. Recent MS grad Tam Phan, Doug Bowman, and Sang Won Lee (Tam's advisor) received a best poster award at the ACM Spatial User Interaction (SUI 2022) conference.
7. Matt Hicks and his students were awarded a best poster award at the Annual Computer Security Applications Conference (ACSAC).
8. Hoda Eldardiry is co-author on a paper that received a most cited paper award from the International Journal of Transportation Science and Technology (IJTST).
9. Doug Bowman and Chris North each gave keynote addresses at the International Symposium on Visual Computing (ISVC 2022).
10. Alum Yue Cheng received the IEEE-CS Technical Community on High Performance Computing (TCHPC) Early Career Researchers Award for Excellence in High Performance Computing.
11. Papers accepted in top conferences:
    • Bowman, SUI 2022
    • Bowman, ISMAR 2022
    • Butt, IEEE Big Data 2022
    • Edmison, ITiCSE 2022
    • Eldardiry, IEEE Big Data 2022
    • Gulzar, ICSE 2023
    • Hasan, NSDI 2023 (2 papers)
    • Hicks, ACSAC 2022
    • Hicks, AsiaCCS 2022
    • Hoang, PETS 2023
    • Hoang, IEEE TPS 2023 (3 papers)
    • Ji, SIGMETRICS 2023
    • Ji, INFOCOM 2023 (2 papers)
    • Ji, Jian, Butt, FAST 2023
    • Lourentzou, IEEE Big Data 2022
    • McCrickard, CSCW 2022 (2 papers)
    • Noh, FAST 2023 (3 papers)
    • North, Bowman, ISMAR 2022
    • Raghvendra, ICLR 2023 (2 papers)
    • Rho, ICWSM 2023
12. Papers accepted in top journals:
    • Bowman, North, ACM Trans on Visualization and Computer Graphics
    • Bowman, ACM Trans on Visualization and Computer Graphics
    • Cho, ACM Trans on Cyber-Physical Systems
    • Cho, Lu, IEEE Trans on Computational Social Systems
    • Hoang, IEEE Trans on Information Forensics and Security
    • Ji, IEEE Internet of Things Journal
    • Lourentzou, Mechanical Systems and Signal Processing
    • Watson, ACM Trans on Mathematical Software

New External Funding (with CS PI)

1. Brown, Google, "Supporting Under-Resourced Software Engineering Job Seekers through Facilitating Online Collaboration in Technical Interview Preparation," $60,000.
2. Brown, CCI, "Understanding the Impact of Data Privacy Regulations on Software and Its Stakeholders," $60,000.
3. Cameron, LLNL, "Automating AI/ML-based Tuning for HPC Applications in Heterogeneous HPC Systems," $98,978.
4. David-John, Meta, "Enhancing Privacy Notices: Visceral Interfaces for Eye Tracking in VR," $25,000.
5. Edwards, NSF, "Transforming Grading Practices in the CS Education Community," $787,311.
6. Gao, Amazon (Amazon-VT Initative), "Platform-Agnostic Privacy Leakage Monitoring for Machine Learning Models" $98,372.
7. Gulzar, Ministry of Education, Culture, Research, and Technology (Indonesia), "Influence Debugging and Test Input Generation," $15,000.
8. Huang, Intuit, "Structure-Agnostic Few-Shot Learning Key Information Extraction," $80,001.
9. Huang, Amazon, "Alexa SocialBot Grand Challenge Competition: Conditional and Controllable Diffusion-LM for Coherent and Engaging Dialogue Generation," $250,000.
10. Huang, Google, "Commonsense Inspired User Behavior Modeling," $25,000.
11. Li, Ministry of Education, Culture, Research, and Technology (Indonesia), "Disaggregated Memory Management at Scale," $30,000.
12. Lourenztou, Amazon (Amazon-VT Initative), "Toward Unified Multimodal Conversational Embodied Agents," $100,000.
13. Lu, World Forest ID, "Machine learning methods for monitoring stolen grain using stable isotope ratio analysis (SIRA)," $230,000.
14. Viswanath, CCI, "Securing the Interactions with AI-based Question-Answering Dialog Systems," $30,000.
15. Zhou, CCI, "Towards Large-Scale Human-AI Interactive Curriculum Generation for Online Learning," $30,000.

Professional Service & Recognition, Outreach, etc.

1. Daphne Yao was named an IEEE Fellow.
2. Bo Ji received and Excellent Editor Award for the 2nd consecutive year from IEEE Transactions on Network Science & Engineering.
3. Shaddi Hasan is serving as treasurer for ACM COMPASS 2023
4. Ismini Lourentzou will serve as Associate Chair for ACM PETRA 2023 and as an area chair for ACL 2023.
5. Thang Hoang will serve as short-talks chair for IEEE S&P 2023.
6. Kurt Luther is serving as Posters & Demos co-chair for AAAI HCOMP 2023 and ACM Collective Intelligence 2023 (joint conference.)
7. Kurt Luther is co-organizing a workshop on "Designing for Safety in Human-AI Interactions" at ACM IUI 2023.
8. Peng Gao will serve on the program committee for ACM CCS 2023.

PhD Students Successfully Defending

1. Fengjiao Li, "Online Learning for Resource Allocation in Wireless Networks: Fairness, Communication Efficiency, and Data Privacy," Ji (chair).
2. Xinyue Wang, "Large Web Archive Collection Infrastructure and Services," Fox (chair), Zhiwu Xie (co-chair).
3. Sharmin Afrose, "Methodology Development for Improving the Performance of Critical Classification Applications," Yao (chair).
4. Lee Lisle, " Immersive Space to Think: Immersive Analytics for Sensemaking with Non-Quantitative Datasets," Bowman (chair).

Other Notables

1. TM Murali led a successful proposal to define a new VT Destination Area "Pandemic Prediction and Prevention (Destination Normal: Envisioning a World Free of Pandemics)". Deb Bhattacharya and Anuj Karpatne are co-PIs on this proposal as well.
2. In addiiton, CS faculty members are part of the team proposing two other successful DA 2.0 proposals: Shaddi Hasan with "Virginia Tech Public Interest Technology Initiative (VT-PIT)" and Denis Gracanin with "Human Systems Integration in Health Care."