Sumarga Sahtyagi

EMAIL: sumarga.sahtyagi@famu.edu
PHONE: 850-599-3222
OFFICE: Computer & Information Systems

Commons, G139

Tuesday/Wednesday/Thursday • 2:00 p.m. - 4:00 p.m.
Monday/Friday • 2:00 p.m. - 4:00 p.m. Online (via Zoom)

COP4656-301 Intro to Mobile Programming • Tu. Th. — 12:30 p.m. - 1:45 p.m.
COP4656E-501 Intro to Mobile Programming • Online Sat. 6.15 p.m. - 8.30 p.m.

Dr. Sumarga K. Sah Tyagi is a computer scientist with expertise in artificial intelligence, cybersecurity, IoT/IIoT, biomedical informatics, and next-generation sequencing (NGS) data analytics. He holds a Ph.D. in Computer Science and Technology from the University of Chinese Academy of Sciences and currently serves as an Assistant Professor at Florida A&M University. His academic journey includes prior roles as a Postdoctoral Scholar at the University of South Florida, Assistant Professor at Zhongyuan University of Technology, and Postdoctoral Researcher at the Federal University of Ceará, Brazil.

Dr. Sah Tyagi has authored two books and more than 20 peer-reviewed publications in leading journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, Future Generation Computer Systems, and IEEE Sensors Journal. His research spans on deep learning-based biosequence alignment and genome assembly, as well as large-scale AI/IoT initiatives supported by international agencies.

He is actively engaged in mentoring graduate and undergraduate students on projects involving AI-driven cybersecurity, LLMs, and biomedical. He has served as guest editor for IEEE and Springer journals, reviewer for leading conferences and journals, and committee member for international symposia. An IEEE member since 2019, he integrates teaching excellence, research innovation, and professional service to advance secure, intelligent, and scalable computing systems addressing critical challenges in Bio Cybernetics arena.

AL/ML
Synthetic Intelligence
Cybernatics
IoT
Intelligent Genomics
Quantum ML
Soccer
Swimming
Hiking
Cooking

Ph.D. in Computer Science and Technology • 2019
University of Chinese Academy of Sciences, China
Ms. in Computer Science • 2014
South Asian University, India
BE. in Electronics and Communication • 2011
Purbanchal University, Nepal

Assistant Professor • 2025 - Present
Florida A&M University (FAMU), Tallahassee, FL
Postdoctoral Scholar • 2022 - 2025
University of South Florida, Tampa, FL
Postdoctoral Researcher • 2020 - 2021
Federal University of Ceará , Brazil.
Assistant Professor • 2019 - 2022
Zhongyuan University of Technology, China.

Books:

Sumarga K. Sah Tyagi and Y. Zhou, "Thermal-aware Energy-efficient Dynamic BBU Pooling in Cloud Radio Access Networks", Lambert Academic Publishing, Germany, ISBN: 978-613-944563-9.
Sumarga K. Sah Tyagi and Deepak K. Jain, "Power Efficient Thermal-aware Task Allocation in Multi-Core Systems with Real-Time Constraints", Lambert Academic Publishing, Germany, ISBN: 978-3-659-88640-9.

Journals:

Sumarga K. Sah Tyagi, R. Yadav, D. K. Jain, Y. Tu and W. Zhang, "Paired Swarm Optimized Relational Vector Learning for FDI Attacks Detection in IoT-aided Smart Grid", IEEE Internet of Things Journal, Nov. 2022.
W. Zhang, R. Yadav, Y.C. Tian, Sumarga K. Sah Tyagi, Ibrahim A. Elgendy and O. Kaiwartya "Two-Phase Industrial Manufacturing Service Management for Energy Eciency of Data Centers", IEEE Transactions on Industrial Informatics, Feb. 2022.
D. K. Jain, Sumarga K. Sah Tyagi, S. Neelakandan, M. Prakash and L. Natrayan "Metaheuristic Optimization-based Resource Allocation Technique for Cybertwin-driven 6G on IoE Environment", IEEE Transactions on Industrial Informatics, Dec. 2021.
Sumarga K. Sah Tyagi, P. Goswami, S. Pokhrel and A. Mukherjee, "Internet of Things for Healthcare: An Intelligent and Energy Ecient Position Detection Algorithm", IEEE Transactions on Industrial Informatics, Sep. 2021.
Sumarga K. Sah Tyagi and Qu Boyang, "An Intelligent Internet of Things aided Financial Crisis Prediction Model in FinTech", IEEE Internet of Things Journal, June 2021.
P. Goswami, A. Mukherjee, M. Moinak, Sumarga K. Sah Tyagi and L. Yang, "A Neural Network Based Optimal Resource Allocation Method for Secure IIoT Network", IEEE Internet of Things Journal, May 2021.
Sumarga K. Sah Tyagi, A. Mukherjee, Qu Boyang and D. K. Jain, "Computing Resource Optimization of Big Data in Optical Cloud Radio Access Networked IIoT", IEEE Transactions on Industrial Informatics, Jan. 2021, Vol. 17, Issue: 11.
Sumarga K. Sah Tyagi, S. Pokhrel, M. Nemati, D. Jain, G. Li, J. Choi, "Redesigning compound TCP with cognitive edge intelligence for WiFi-based IoT", Future Generation Computer Systems, July 2021.
Mukhopadhyay S., Sumarga K. Sah Tyagi, Suryadevara N., Piuri V., Scotti F., and Zeadally S., "Artificial Intelligence-based Sensors for Next Generation IoT Applications: A Review", IEEE Sensors Journal, Jan. 2021.
Sumarga K. Sah Tyagi, A. Mukherjee, S. Pokhrel, and K. Hiran, "An Intelligent and Optimal Resource Allocation Approach in Sensor Networks for Smart Agri-IoT", IEEE Sensors Journal, Sep. 2020.
A. Mukherjee, P. Goswami, L. Yang, Sumarga K. Sah Tyagi, UC Samal, and SK Mohapatra, "Deep neural network-based clustering technique for secure IIoT", Neural Computing and Applications, Springer, Feb. 2020.
P. Wei, D. Wang, Y. Zhao, Sumarga K. Sah Tyagi and N. Kumar, "Blockchain data-based cloud data integrity protection mechanism", Future Generation Computer Systems, Elsevier, Dec. 2019.
Guest Editorials: IEEE Sensors Journal, Neural Computing and Applications, Springer, Computer Communications, Elsevier, Wireless Communications and Mobile Computing, Wiley, International Journal of Network Management, Wiley, etc.
Conference chairs: ICIBM-23, St. Pete., FL (Trainee-committee), ALLSENSORS-25, Nice, France (TPC), EAI SmartGov 2021, Portugal (Poster-track), ATIS 2021, Australia (OCM), ICCCPQT-2022, Xiamen, China (TPC)

CAS-TWAS President’s Fellowship funded Ph.D. : 2014 -2018
SAARC Silver Jubilee Scholarship from Government of India funded my MSc: 2012-2014

COP4656 Intro to Mobile Programming.
COP4656E Intro to Mobile Programming.