Hamdi Kavak

I am conducting research on the areas of data-driven agent-based simulations (DD-ABS) and data mining. The DD-ABS research combines big data, agent-based simulation, and machine learning to address problems that are challenging to tackle by each domain independently. Currently, I apply DD-ABS to study human mobility and cybersecurity problems. My data mining research focuses on investigating the domain of human dynamics.

I am a Ph.D. Candidate in the department of Modeling, Simulation and Visualization Engineering at Old Dominion University, Virginia USA. I am working in my doctoral advisor Dr. Padilla's Human Dynamics Lab at VMASC . See my research and publications.

Email:
hkavak {at} odu.edu

Office Address:
Human Dynamics Lab
Virginia Modeling, Analysis and Simulation Center
1030 University Boulevard
Suffolk, VA 23435

Latest updates [See all updates]

2017

April
I have presented two papers in the Spring Simulation Multi-Conference 2017

  • CNS Symposium: The Spread of Wi-Fi Router Malware Revisited
  • DEMO Session: A Data-Driven Spatial Agent-Based Simulation Application With In-Memory Caching Support

March
Our submission titled "A Data-Driven Spatial Agent-Based Simulation Application With In-Memory Caching Support" was accepted for the M&S Demo Session in Spring Simulation Multi-Conference 2017.

January
Our Wi-Fi malware spread paper was accepted for the 20th Communications and Networking Simulation Symposium.


2016

December
Our teaching simulation using games paper was presented at the 2016 Winter Simulation Conference.

August
Our enhanced trace validation of agent-based models paper was published in the Sage journal SIMULATION: Transactions of The Society for Modeling and Simulation International.

July
Our cyber attacker modeling paper was presented at the 2016 Summer Simulation Conference.

April
I presented our cyber scenario characterization paper and human mobility framework poster at the 2016 Spring Simulation Conference at Pasadena, California, USA. My poster won the best presentation award.