Tushar Bhardwaj

Postdoctoral Associate


EC 2184



Tushar Bhardwaj, Postdoctoral Associate

Tushar Bhardwaj, Postdoctoral Associate

Dr. Tushar Bhardwaj is a Post Doctoral Associate at the Applied Research Center of Florida International University. He received his Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology Roorkee (IIT Roorkee), India, 2018. His M.Tech and B.Tech degrees in Computer Science and Engineering were received from UPTU, India. His research interests include Cloud Computing, Virtualization, Big Data, Machine Learning, Deep Learning and Cyber Security.

The objective of his Ph.D. thesis was to design and develop autonomic resource allocation frameworks that pro-actively allocates the optimal resources for both service-based and parallel scientific cloud applications during run-time.

He has published 14 research papers, which includes four papers in highly reputed journals with publishers like Elsevier and Springer (SCI-indexed : 3, Scopus-indexed : 1) as well as papers in International conferences of repute which includes IEEE HPCC and MASS.

His interaction with the different research groups at IIT Roorkee exposed him to the powerful world of Machine Learning and Soft Computing algorithms such as (Fuzzy Logic, Neural Network, Deep Learning, Linear Regression, Logistic Regression, SVM, KNN etc).

During his Ph.D, he got selected as an Intern in TCS Innovation Lab Mumbai, India and worked on a project entitled “Digital Citizen Engagement Platform”.

Dr. Tushar is currently working on two projects. The first project is on Big Data and Machine Learning which is funded by Department of Energy. In this project, his main responsibilities are to develop technologies for efficient anomaly detection of sensory data. In his second project, he is working as a developer in the Cyber Threat Automation and Monitoring (CTAM) Project funded by Department of Defense (DOD) – Test Resource Management Center (TRMC). Here, his main responsibilities are to design and develop solutions for virtualization technologies, smart memory acquisition and also to support the Advanced Cyber Analytics team for Cyber forensics.

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