Sara Khanchi
Title: Assistant Professor
Department: College of Engineering & Computing Sciences
Campus: Vancouver
Area(s) of Expertise: Computer Networks, Network Security, Intrusion Detection, Streaming Classification, Malware Analysis, Network Traffic Analysis
Education Credentials: Ph.D.
Joined New York Tech: 2021
Sara Khanchi is an assistant professor of computer science at New York Tech's Vancouver campus. She received her Ph.D. in computer science from Dalhousie University in Halifax, Canada in 2019. She has several years of experience in industry, mainly in areas of malware analysis and development of secure network devices and services. Her current research interests are in the intersection of intrusion detection systems (IDS), malware analysis, machine learning, and network traffic analysis.
Selected Publications
- S. Khanchi, A. Vahdat, M. I. Heywood, A. N. Zincir-Heywood, On botnet detection with genetic programming under streaming data label budgets and class imbalance, Swarm and Evolutionary Computation, Volume 39, 2018.
- S. Khanchi, M. I. Heywood, A. N. Zincir-Heywood, Network Analytics for Streaming Traffic Analysis, IFIP/IEEE International Symposium on Integrated Network Management, IM 2019, Washington, DC, USA, April, 2019.
- S. Khanchi, A. Vahdat, M. I. Heywood, A. N. Zincir-Heywood, On botnet detection with genetic programming under streaming data label budgets and class imbalance, Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO, Kyoto, Japan, July 2018.
- D. C. Le, S. Khanchi, A. N. Zincir-Heywood, M. I. Heywood, Benchmarking evolutionary computation approaches to insider threat detection, Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO, Kyoto, Japan, July 2018.
- S. Khanchi, A. N. Zincir-Heywood, M. I. Heywood, Streaming Botnet traffic analysis using bio-inspired active learning, IEEE/IFIP Network Operations and Management Symposium, NOMS, Taipei, Taiwan, April, 2018.
- S. Khanchi, M. Heywood, and N. Zincir-Heywood, Properties of a GP Active Learning Framework for Streaming Data with Class Imbalance, GECCO, July. 2017.
- S. Khanchi, M. Heywood, and N. Zincir-Heywood, On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets, EuroGP, Apr. 2016.
Professional Honors and Awards
- CAN-CWiC Grant: Canadian Computing Conference for Women in Technology, Canada. (2018, 2019)
- Postgraduates Scholarship: Dalhousie University, Halifax, Canada. (2014)
- Nova Scotia Graduate Scholarship: Dalhousie University, Halifax, Canada. (2019)
- Best Paper Award: Gecco’18 Conference, Kyoto, Japan. (2018)
- KDD Scholarship: Knowledge Discovery and Data Mining(KDD) conference, Halifax, Canada. (2017)
- ACT Grant: Atlantic ConnecTions Conference, Halifax, Canada. (2017)
- EuroGP Travel Grant: European Conference on Genetic Programming conference, Porto, Portugal. (2016)
Courses Taught at New York Tech
- Computer Networks
- Advanced Network and Internet Security
- Intrusion Detection and Hacker Exploits