Deepa Rani

@upes.ac.in

Assistant Professor, School of Computer Science
UPES Dehradun

Deepa Rani
Dr Deepa Rani is currently serving as an Assistant Professor in the School of Computer Science, UPES Dehradun. Previously served as a Teaching Faculty in the Department of Mathematics and Scientific Computing, NIT Hamirpur. She completed her PhD in Computer Science and Engineering at NIT Hamirpur, under the supervision of Dr. Rajeev Kumar.. Her research interests include Cyber Security, Internet of Things (IoT), Machine Learning, Smart Healthcare, Wireless Networks, and Computer Networks.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Networks and Communications, Information Systems
6

Scopus Publications

114

Scholar Citations

3

Scholar h-index

3

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Applying Ensemble Approach to Predict Maternal Health Risk
    S Thakur, R Thakur, D Rani, R Kumar
    Cambridge Scholars Publishing; https://www.cambridgescholars.com/product/978 … , 2026
    2026
  • Transformer-based Network Intrusion Detection: A Multi-dataset Analysis
    G Nemiwal, D Rani, R Kumar
    2025 3rd International Conference on Inventive Computing and Informatics … , 2025
    2025
  • Applying Genetic Algorithms in Machine Learning to Predict Risk in Pregnancy
    R Thakur, S Thakur, D Rani, R Kumar
    International Conference on Information Technology and Artificial … , 2025
    2025
  • Study Influencing Factors of Maternal Health and the Role of Internet of Things (IoT) to Improve Maternal Care
    D Rani, R Kumar, N Chauhan
    SN Computer Science 5 (6), 778 , 2024
    2024
    Citations: 3
  • A secure framework for IoT‐based healthcare using blockchain and IPFS
    D Rani, R Kumar, N Chauhan
    Security and Privacy 7 (2), e348 , 2024
    2024
    Citations: 22
  • Fuzzy logic-based delay efficient data collection technique for IoT environment
    D Rani, T Wala, R Kumar, N Chauhan
    International Journal of Communication Networks and Distributed Systems 29 … , 2023
    2023
    Citations: 1
  • Study and comparision of vectorization techniques used in text classification
    D Rani, R Kumar, N Chauhan
    2022 13th international conference on computing communication and networking … , 2022
    2022
    Citations: 29
  • Supervised machine learning based network intrusion detection system for Internet of Things
    D Rani, NC Kaushal
    2020 11th International conference on computing, communication and … , 2020
    2020
    Citations: 59

MOST CITED SCHOLAR PUBLICATIONS

  • Supervised machine learning based network intrusion detection system for Internet of Things
    D Rani, NC Kaushal
    2020 11th International conference on computing, communication and … , 2020
    2020
    Citations: 59
  • Study and comparision of vectorization techniques used in text classification
    D Rani, R Kumar, N Chauhan
    2022 13th international conference on computing communication and networking … , 2022
    2022
    Citations: 29
  • A secure framework for IoT‐based healthcare using blockchain and IPFS
    D Rani, R Kumar, N Chauhan
    Security and Privacy 7 (2), e348 , 2024
    2024
    Citations: 22
  • Study Influencing Factors of Maternal Health and the Role of Internet of Things (IoT) to Improve Maternal Care
    D Rani, R Kumar, N Chauhan
    SN Computer Science 5 (6), 778 , 2024
    2024
    Citations: 3
  • Fuzzy logic-based delay efficient data collection technique for IoT environment
    D Rani, T Wala, R Kumar, N Chauhan
    International Journal of Communication Networks and Distributed Systems 29 … , 2023
    2023
    Citations: 1
  • Applying Ensemble Approach to Predict Maternal Health Risk
    S Thakur, R Thakur, D Rani, R Kumar
    Cambridge Scholars Publishing; https://www.cambridgescholars.com/product/978 … , 2026
    2026
  • Transformer-based Network Intrusion Detection: A Multi-dataset Analysis
    G Nemiwal, D Rani, R Kumar
    2025 3rd International Conference on Inventive Computing and Informatics … , 2025
    2025
  • Applying Genetic Algorithms in Machine Learning to Predict Risk in Pregnancy
    R Thakur, S Thakur, D Rani, R Kumar
    International Conference on Information Technology and Artificial … , 2025
    2025