Our research group focuses on theoretical as well as applied research in Computational Intelligence algorithms, such as Artificial Neural Networks, Fuzzy Logic Systems and Unsupervised Learning techniques. We are applying these methods in areas of Energy, Cyber Security, Human-Machine Interfacing,, Intelligent Control Systems, Software Defined Networks, Robotics, Visualizations and others. Please check the list of publications of our recently published conference and journal papers.

Milos Manic, Ph.D., FIEEE, Director, Modern Heuristics Research Group (MHRG); Director, VCU Cybersecurity Center: 

  • Cybersecurity/Resilience
  • Deep Learning
  • Trustworthy AI/XAI
  • Energy/Critical Infrastructures
  • Intelligent control
  • Network security and infrastructure protection
Daniel Marino Lizarazo, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Robot Learning
  • Deep Learning
  • Computer Vision
Chathurika Wickramasinghe, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Unsupervised Deep Learning
  • Generalization in Machine Learning
  • Embedded Representation Learning
Morgan Stuart, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Deep Learning
  • Data Science
  • Embedded Systems
Christos Tsoukaladelis, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Network Security
  • Intrusion Detection and Forensics- Computer and Operating Systems security
  • Online Privacy and Anonymity- Malware Analysis,
  • Detection and Reverse Engineering
Billy Tsouvalas, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Malware Analysis, Detection, and Classification
  • Critical Infrastructure Cybersecurity
  • Machine Learning & Generative Adversarial Learning
  • Network Security, Intrusion Detection, and Forensics
Mike Watson, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Cybersecurity
  • Networks
  • Deep Learning

Visiting Scholars

    • Hyeongwon Kang, South Korea, Spring 2016.
    • Min-Kyung Joo, Se-Jong University, South Korea, Spring 2015.
    • Yeonsoo Jung, Pukyong National University, South Korea, Spring 2014.
    • Carlos Cobos-Lozada, LISI-MIDAS: Universidad Nacional de Colombia Sede Bogotá, Summer 2011.
    • Prof. Radu Bãlan, University of Cluj-Napoca, Romania, Summer 2008.
    • Prof. Sergiu Dan-Stan, University of Cluj-Napoca, Romania, Summer 2010, 2008.
    • Prof. Juan Rodriguez-Andina, University of Vigo, Spain, Summer 2008.
    • Javier Grandio, University of Vigo, Spain, Fall 2019-spring 2020.
    • Jinho Jeong, West Korea Program, Dec. 2019 – Aug. 2020.
    • Kavin Vasudevan, Henrico High School, Richmond, VA, USA, Summer 2020- Fall 2021.
    • Alagappan Sellappan, Henrico High School, Richmond, VA, USA, Summer 2021- Fall 2021.

ALUMNI

 

 

Kasun Amarasinghe, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA

  • Developing explainable Neural Network based systems
  • Anomaly detection in Cyber-Physical Systems
  • Machine Learning for Social Good
Howard Jake Carey, Masters in Computer Science, Virginia Commonwealth University, Richmond, VA

  • Computational Intelligence
  • Neural Networks
  • Physics
  • Robotics
Dumidu Wijayasekara, Ph.D., in Computer Science, Virginia Commonwealth University, Richmond, VA

  • Ph.D. dissertation: “Improving understandability and uncertainty modeling of data using fuzzy logic systems” Link, Spring 2016
  • College’s Outstanding Student Publication Award, College of Engineering, University of Idaho, May 2014 (honored by $500 monetary award, a plaque)
Ondrej Linda, Ph.D. in Computer Science, University of Idaho, Idaho Falls
PhD Dissertation: PDF

  • Masters thesis “Applications of computational intelligence in critical infrastructures: network security, robotics, and system modeling enhancements”, Spring 2009 (pdf 1.7MB).
  • Outstanding student achievement award, College of Engineering, University of Idaho, 2010.
  • Outstanding graduate student achievement award, University of Idaho, Idaho Falls center, College of Engineering, 2012.
  • College’s Outstanding Student Publication Award, College of Engineering, University of Idaho, May 2012 (honored by $500 monetary award, a plaque)

Joel D. Hewlett, Ph.D., Post Doctoral Researcher, University of Idaho, Idaho Falls, 2011-2013.

  • Neural Networks
  • Numerical Optimization
  • Control Systems

 

Kurt Derr, Ph.D in Computer Science ,University of Idaho, Idaho Falls and INL researcher,

  • Swarm Robotics/Intelligence
  • Unmanned Vehicles
  • Autonomous Agents
  • Wireless Communications and Networking

Christopher Becker, Computer Science, University of Idaho, Idaho Falls

    • Netowrking
    • Computer Security
    • Fuzzy Systems
Udhay Ravishankar, M.E. in Computer Science ,University of Idaho, Idaho Falls

  • Computational Intelligence
  • Robotics
  • Adaptive Critic Designs

 

Todd Vollmer, Ph.D in Computer Science ,University of Idaho, Idaho Falls and INL researcher.
PhD Dissertation: PDF

  • Network and Computer Security
  • Machine Learning
  • Operating Systems
  • Growing Giant Pumpkins

 

Jason Wright, M.Sc. in Computer Science ,University of Idaho, Idaho Falls and INL researcher,

  • Critical infrastructure cyber security
  • Computational intelligence
  • Network topology/graph theory
  • Operating systems

 

Kevin McCarty, Ph.D in Computer Science, University of Idaho, Idaho Falls

  • Data Mining and Data Fusion
  • Machine Learning
  • Masters thesis “ Applications Of Modern Heuristics And Advanced Data Mining Techniques”, Fall 2008 (thesis pdf 1.8MB).

 

Ali Siahpush, Ph.D, Sr. Mechanical Engineer/Scientist ,Associate Adjunct Professor, May 2013-August 2013.
Miles McQueen, URL, Graduate faculty, Computer Science Department, University of Idaho and Idaho National Laboratory, 2005-2013.

  • Computer and network security
  • Engineering based security analysis
  • Security modeling and measurement
  • Human security and vulnerabilities
  • Cyber-physical system security and resilience