Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

Amrita University, India

Dr. J. Uma is an accomplished academic and researcher in the fields of information technology, cloud computing, artificial intelligence, and cybersecurity. She holds a B.Tech in Information Technology, an M.E. in Computer Science and Engineering with distinction, and has submitted her Ph.D. thesis in Information and Communication Engineering at Anna University. With more than twelve years of academic experience, she has served as Assistant Professor in leading engineering institutions, contributing significantly to teaching, curriculum development, and research mentorship. Her research focuses on cloud resource allocation, deep reinforcement learning, intelligent optimization algorithms, blockchain technologies, IoT-based systems, and data security. She has published impactful journal articles in reputed outlets like Transactions on Emerging Telecommunications Technologies and Springer’s Lecture Notes in Networks and Systems, along with several book chapters and conference papers. Her work includes innovations in heuristic optimization, adversarial defenses in deep learning, and smart healthcare IoMT solutions. She is also a published patent holder in IoT-based agriculture monitoring systems and employee training platforms. Dr. Uma has organized major AICTE- and RGNIYD-funded programs, contributing to national-level capacity building in data science, IoT, and smart city technologies. Her career reflects a strong commitment to advancing research, innovation, and academic excellence.

Profiles:  ORCID

Featured Publications

Mr. Gabriel Amaizu | Charismatic Leadership | Best Researcher Award

Mr. Gabriel Amaizu | Charismatic Leadership | Best Researcher Award

Towson University | United States

Profile:  Google Scholar 

Featured Publications

Njoku, J. N., Nwakanma, C. I., Amaizu, G. C., & Kim, D. S. (2023).
Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems. IET Intelligent Transport Systems, 17(1), 1–21.

Amaizu, G. C., Nwakanma, C. I., Bhardwaj, S., Lee, J. M., & Kim, D. S. (2021).
Composite and efficient DDoS attack detection framework for B5G networks. Computer Networks, 188, Article 107871.

Amaizu, G. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2020).
Investigating network intrusion detection datasets using machine learning. In Proceedings of the 2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE.
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Sampedro, G. A. R., Agron, D. J. S., Amaizu, G. C., Kim, D. S., & Lee, J. M. (2022).
Design of an in-process quality monitoring strategy for FDM-type 3D printer using deep learning. Applied Sciences, 12(17), Article 8753.

Amaizu, G. C., Njoku, J. N., Lee, J. M., & Kim, D. S. (2024).
Metaverse in advanced manufacturing: Background, applications, limitations, open issues & future directions. ICT Express, 10(2), 233–255.