Dr. Hardik Gohel is a Postdoctoral Fellow at the Applied Research Center of Florida International University. He holds a Ph.D. in computer science, awarded in 2015.
An academician and researcher, Dr. Hardik Gohel is working on cyber security research. He has 8 years of experience in teaching and research in the field of computer science and technology. His research spans social media security, web security and social engineering. He is the leading author for more than 50 publications in technical journals and proceedings of national and international conferences. He has participated over 10 technical workshops and Faculty Development Programs (FDPs). He has written two books titled: 1) Introduction to Network and Cyber Security, and 2) Human Brain Computer Interface (H-BCI). Hardik loves to find solutions for various research projects and also the ability to design and develop models and algorithms. He has received 1 national award in Asia in the category of academic excellence in 2015 and two international awards for the best research paper in international conferences held in Malaysia and Thailand. He has been invited to deliver keynote addresses and to chair sessions at many technical conferences. He has certifications in Cyberoam Certified Network & Security Professional-CCNS, Network & Cloud Security by IEEE, Wired & Wireless Networking using NS2 by IEEE Computer Society and Data Analysis using R. He is a professional and life member of various technical bodies including IEEE, ISTE, CSTA-USA, Internet of Society NY chapter, IACSIT Singapore, IAENG, CSI and many more.
Hardik is currently a task lead on the Department of Defense (DOD) – Test Resource Management Center (TRMC) funded project. The project includes hypervisor research with the purpose of improving cyberspace monitoring and analysis. This research is being conducted using virtualization technologies to deliver automated and real-time analysis of cyberspace attacks on distributed systems. This approach enables quick deployment and fine-grained monitoring of malware including analysis of their effects on live systems as well as their propagation patterns within the compromised network. He is investigating Linux kernel data structures as well as performing malware analysis. He is working with signature based malware, rootkit detection, Xen Project, Vmware and related APIs, hypervisors and malware analysis tools. He is actively mentoring undergraduate and graduate students. He is interested in pursuing additional research collaborations, linkages and MOUs with other universities, government agencies and corporate organizations.