Scholar
MD S Q Zulkar Nine
Google Scholar ID: shzkdzUAAAAJ
Assistant Professor of Computer Science, Tennessee Tech
Citations & Impact
Citations
140
H-index
8
i10-index
4
Publications
20
Co-authors
8
list available
Contact
Resume (English only)
Academic Achievements
- Paper 'GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints' accepted for publication in the international conference for high performance computing, network storage and analysis (SC 23) (acceptance rate: 18%); Paper 'Energy-saving cross-layer optimization of big data transfer based on historical log analysis' accepted for publication in IEEE International Conference on Communications (ICC); Paper 'A two-phase dynamic throughput optimization model for Big Data transfers' accepted for publication in IEEE Transactions on Parallel and Distributed Systems (TPDS).
Research Experience
- Assistant Professor, Department of Computer Science, Tennessee Technological University, Cookeville, TN, Aug 2023 - Present; Lecturer, Department of Computer Science, Georgia State University, Atlanta, GA, Aug 2020 - Aug 2023; Research Intern - Cloud and AI, IBM Thomas J Watson Research Center, Yorktown Heights, NY, June 2019 - Aug 2019; Research Intern - Cloud and AI, IBM Thomas J Watson Research Center, Yorktown Heights, NY, June 2018 - Aug 2018; Lecturer, University at Buffalo (State University of New York), Buffalo, NY, June 2017 - Aug 2017.
Education
- Ph.D. in Computer Science and Engineering from University at Buffalo (State University of New York); M.S. in Computer Science and Engineering from North South University, Dhaka, Bangladesh; B.S. in Computer Science and Engineering from Military Institute of Science and Technology, Dhaka, Bangladesh.
Background
- Main research focus is applying advanced AI/ML techniques to system level optimization, creating efficient distributed systems for advanced machine learning models, intelligent network design, AR/VR system design, IoT, and intelligent transport system design.
Miscellany
- Looking for highly motivated PhD and Masters students interested in IoT, Cloud systems, ML-based system design, Vehicular networks, and Intelligent network design. Funding opportunities available.
