Manikant Roy

Manikant Roy is Ph.D. in Information Systems (Submission Stage) at the Indian Institute of Technology (IIT) Delhi), where his research explores the applications of data science in digital healthcare. He has over five years of teaching experience as an Assistant Professor in Computer Science, Business Analytics, and Data Science, and has been recognized by Google and Microsoft for his contributions to technology education. His research and teaching interests include Social Computing, Human–Computer Interaction, and Information Systems, and he also serves as a Regional Mentor of Change for the Atal Innovation Mission, NITI Aayog, Government of India.

PhD-Information Systems (IIT Delhi),
MPhil Computer Science (IIITM-K) ,
UGC NET

Total: 6 Years
Academic: 5 Years
Industry: 1 Years

Research works

Journal Paper 

Kumar Singh, R., Roy, M., & Deshmukh, S. (2013). Implementation of Management Information System for colleges and Universities with unique ID. International Journal of Engineering Sciences ISSN: 0976-6693, 5(2), 43–48.

Conference Paper: 

Roy, M., Chhibber, H., llavarasan, P.V., Kar, A.K. (2024). Detecting and Characterizing Mental Health Using Social Media Analytics. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 698. Springer, Cham. https://doi.org/10.1007/978-3-031-50192-0_3

M. Roy, R. Chopra, S. Ghosh and N. Sethi, "Common data validation error in online web forms - A case study," 2018 4th International Conference on Computing Sciences (ICCS), Jalandhar, India, 2018, pp. 92-93, doi: 10.1109/ICCS.2018.00022. keywords: {Encyclopedias;Software systems;Software testing;Electronic publishing;Software Testing;Software Validation;Web Forms},

Book Chapter 

Roy, M., Paul, S., Ahsan, Z.B., Kar, A.K., Ilavarasan, P.V., Gupta, A. (2023). Applications of Big Data and Cloud Computing in Business and Management: A Systematic Literature Review. In: Singh, P.K., Wierzchoń, S.T., Pawłowski, W., Kar, A.K., Kumar, Y. (eds) IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges. Studies in Computational Intelligence, vol 1104. Springer, Cham. https://doi.org/10.1007/978-3-031-35783-1_12

Vyas, P., Ghosh, S., Roy, M., & Sharma, A. (2022). Machine Learning applications in dairy farm management. In Advances in Dairy Microbial Products (pp. 385-396). Woodhead Publishing.

Roy, M., Singh, A., Ghosh, S., & Sethi, N. (2019). Societal Implications of Emerging Technologies (SMAC) and Related Privacy Challenges. Security Designs for the Cloud, Iot, and Social Networking, 129-141.

Achievements and Awards

KaggleX Data Science Mentor by Kaggle 2023 & 2024.

Competitive Scholarship (4770 PLN): To attend the 2023 Computational Neuroscience Academy Summer School, Jagiellonian University, Poland.

Travel Grant to attend ACML 2022 (Asian Conference on Machine Learning), Hyderabad, India.

“Gems of Mentor India” By: Atal Innovation Mission, NITI Aayog (Govt. of India) 2021

Guinness World Records holder for being part of Most participant in single App Development Marathon-Windows App fest.