Work Experience:

1. Teaching: 6 years 10 months

Professional Background:

Name of Organization Period Designation

From | To                                                                                                                                                                    

1.  RTC Institute of Technology, Ranchi 21/02/2017 21/12/2023 Assistant Professor

Research Areas:

1. Machine Learning

2. Deep Learning

3. Image Processing

4. Internet of Things

5. Data Mining

6. Security in Cloud Computing

7. Wireless Sensor Networks

Subjects Taught:

1. Compiler Design

2. Design and Analysis of Algorithms

3. Data Structure

4. Data Science

5. Python

6. Programming for problem solving

7. Computer Graphics 

SCI:

1. Kumar, N., Mishra, G., Kumar, S. et al. Efficient Real-Time Fruit Quality Segregation Using Deep Image Features. Applied Fruit Science 68, 74 (2026). https://doi.org/10.1007/s10341-026-01782-8 

Conferences:

1. Kumar, N., Dhole, A., Kamble, S., Mishra, G. (2026). Brain Tumor Detection and Classification on MRI Images Using YOLO Based Deep Learning Model. In: Chandrakar, P., Naik, K.J., Akhtar, Z., Ming Chen, C., Mohan, K. (eds) Computational Intelligence and Network Security. ICCINS 2025. Communications in Computer and Information Science, vol 2738. Springer, Cham. https://doi.org/10.1007/978-3-032-09572-5_9 

2. R. Gavas, D. Kanikar, N. Kumar and G. Mishra, "Fruit Quality Assessment using Supervised Learning Techniques based on Image Features," 2025 International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU), Bhubaneswar, India, 2025, pp. 1-6, doi: 10.1109/IC-CGU67042.2025.11338101. 

3. Agarwal, Vikash Kumar, Amit Kumar Rai, and Nitish Kumar. "Countermeasures of different jamming attacks in wireless sensor networks." Trends in Wireless Communication and Information Security: Proceedings of EWCIS 2020 (2021): 197-206. 

4. Agarwal, Vikas Kumar, et al. "Operating Systems Support and Network Optimization View of Internet of Things." Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3. Springer Singapore, 2021. 

5. Sharma, Mini Rani, et al. "Integrated Intrusion Detection System (IDS) for Security Enhancement in Wireless Sensor Networks." Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks. IGI Global, 2020. 177-196. 

Book Chapters:

1. Sharma, Mini Rani, et al. "Integrated Intrusion Detection System (IDS) for Security Enhancement in Wireless Sensor Networks." Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks. IGI Global, 2020. 177-196. 

Workshop: