George Kesidis
Scholar

George Kesidis

Google Scholar ID: g-WedwYAAAAJ
Professor of Computer Science and Engineering, Pennsylvania State University; Professor of Electrical Engineering, Pennsylvania
networkingsecuritymachine learningoptimizationstochastic processes
Citations & Impact
All-time
Citations
3,259
 
H-index
27
 
i10-index
67
 
Publications
20
 
Co-authors
12
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Book: 'Adversarial Learning and Secure AI', Cambridge University Press, 2023
  • - Multiple research projects funded by NSF, DARPA, Facebook, Cisco, etc.
Research Experience
  • - Adversarial AI – recent papers
  • - NSF CPS: Clustering, Auto-Encoding, and Generative Modelling of 3D Object Representations for Manufacturing
  • - NSF CNS: Collaborative Research: Rethinking Multi-User VR - Jointly Optimized Representation, Caching and Transport
  • - Cisco Systems Ltd Gift: Adversarial Learning Towards a Comprehensive Framework to Secure Deep Learning
  • - NSF CNS: Principled Methodologies and Systems Support for Automated Cost-Effective Service Blending in the Emerging Public Cloud
  • - Facebook Research Award: Virtual Reality Support at the Edge Cloud
  • - NSF CCF: Cross-layer Design for Cost-Effective HPC in the Cloud
  • - Navy ROTC Projects on Cyber Security: Adversarial AI/ML
  • - Cisco Systems Ltd Gift: Online Active Learning for Classification and Zero-Day Exploit Discovery in Large-Scale Datasets
  • - AFOSR DDDAS: Adversarial Learning & Active Learning
  • - NSF CSR: Using Burstable Instances For Cost-Effective Tenant Orchestration in the Public Cloud
  • - DARPA XD3: Democratizing DDoS Defense using Secure Indirection Networks
  • - NSF NeTS: Competition, Neutrality and Service Quality in Cellular Wireless Access
  • - Cisco Systems Gift: Low-latency detection of networks with fast-flux both in IP address proxies and in domain names
  • - NSF SaTC TWC: Towards Securing Coupled Financial and Power Systems in the Next Generation Smart Grid
  • - Cisco System Ltd URP: Unsupervised flow-level clustering in network routers for anomaly detection
  • - NSF NeTS: Inter-provider dynamics in neutral and non-neutral networks
  • - NSF EAGER: GENI Experiments to Explore Adoption of New Security Services
  • - NSF NeTS: Supporting unstructured peer-to-peer social networking
  • - NSF NetSE: Unsupervised flow-based clustering
  • - Cisco Ltd URP: Per-flow state management in Internet routers: mass purging and heavy-hitter detection
  • - NSF Cyber Trust and Cyber Infrastructure: Router Models and Downscaling Tools for Scalable Security Experiments
  • - DHS/NSF Cyber Trust: Testing and benchmarking methodologies for future network security mechanism
Education
  • - Ph.D. (1992 – Networking and Performance Evaluation), EECS, University of California at Berkeley, advisor: Jean Walrand
  • - M.S. (1990 – Machine Learning and Stochastic Optimization), EECS, U.C. Berkeley, advisor: Eugene Wong
  • - B.A.Sc. (1988) in Electrical Engineering, University of Waterloo, Canada
Background
  • Research interests include networking and performance evaluation, machine learning, and stochastic optimization. He is a professor in the CSE and EE Depts at The Pennsylvania State University.
Miscellany
  • Contact Information:
  • - Email: gik2 at psu dot edu
  • - Phone: 814-865-9190