Work Experience:

• Assistant Professor (Computer Science Engineering), Birla Institute of Technology,  Off-Campus Jaipur.  
• Assistant Professor (2018- 2025) Vivekananda Global University, Jaipur
• Assistant Professor (2014- 2017) Vivekananda Institute of Technology, Jaipur.
• Lecturer (2009-2011), Swami Keshvanand Institute of Technology, Mgt and Gramothan, Jaipur  

Professional Qualifications:

• Ph.D. from Malaviya National Institute of Technology Jaipur (2020-2025)
• M.E. (DC) from Institute of Engineering & Technology, Devi Ahilya Viswavidyalaya, Indore. (2012-2014).
• B.E. from SKIT, Jaipur. (2005-2009).

Signal Processing Applications, Artificial Intelligence, Optical Networks, Deep Neural Networks & State-Space Models.

1. Neeraj Sharma, Satyasai Jagannath Nanda, and Ravi Kumar Maddila, “Sparse Volterra Equalizer for Compensation of Frequency Offset and Laser Phase Noise in Standard Single Mode Fiber”, SN Computer Science, Springer, Vol. 6, No. 841, pp. 1-13, 2025.
2. Neeraj Sharma, Satyasai Jagannath Nanda, and Ravi Kumar Maddila, “A Volterra Equalizer for Compensation of Nonlinear Phase Noise and Frequency Offset in 100 Giga-Baud Fiber System”, 5th International Conference on Data Science and Applications (ICDSA-2024), MNIT Jaipur, India, 17-19 July 2024, Proceedings in Springer book series LNNS, Vol. 1237, pp. 245-256, 2025, Springer Nature Singapore.
3. Neeraj Sharma, Satyasai Jagannath Nanda, and Ravi Kumar Maddila, “Bidirectional GRU with Attention Mechanism based Equalizer for Mitigation of Nonlinear Effects in 50 Gbaud Optical System”, The 16th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT-2025), Indian Institute of Technology Indore, India, 6-11 July 2025.
4. Sharma, Neeraj, Satyasai Jagannath Nanda, and Ravi Kumar Maddila. "Compensation of Kerr Nonlinearity in Dual Polarization 16-QAM Coherent Optical Fiber Systems Leveraging Transformer Equalizer." In 2025 IEEE International Symposium on Smart Electronic Systems (iSES), pp. 30-35. IEEE, 2025.
5. Desai, Karishma, and Neeraj Sharma. "Harnessing the power of machine learning to predict and mitigate the impacts of climate change on global ecosystems." In 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET), pp. 1-6. IEEE, 2024.
6. Sharma, Mukesh Kumar, Neeraj Sharma, and M. Sudhakara Reddy. "Enhancing Robot Guided Navigation Through Visual Cues." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2024.
7. Sharma, Neeraj, S. Umakanth, and Alok Kumar Moharana. "Improving Diagnostics for Brain Cancer: An Application of Deep Learning." In 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), pp. 1-7. IEEE, 2024.
8. Chandani, Priyanka, Feon Jaison, Megha Pandeya, and Neeraj Sharma. "Investigating the Benefits of Multi-Task Transfer Learning for Medical Image Segmentation." In International Conference on Data Science, Machine Learning and Applications, pp. 487-493. Singapore: Springer Nature Singapore, 2023.
9. Nithya, M., Neeraj Sharma, K. S. Bhuvaneshwari, A. R. Aravind, Snehal R. Rathi, and Umesh M. Daivagna. "Enhancing Robustness of Time Series Predictions with Deep Learning Techniques." In 2023 2nd International Conference on Futuristic Technologies (INCOFT), pp. 1-6. IEEE, 2023.
10. Mand, Sumanpreet Kaur, and Neeraj Sharma. "Authentication tokens based smart backup and recovery system for modern android systems." In 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), pp. 210-214. IEEE, 2022.
11. Sharma, Neeraj, and Kushdeep Singh. "The smart secured harvesting technique for embedded wireless sensor networking using network deep learning model." In 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), pp. 198-203. IEEE, 2022.
12. Ojha, Ananta, Dhananjay Kumar Yadav, Neeraj Sharma, and Salahuddin. "An Analysis of 3D Magnetic Resonance Imaging Data for Diagnosing Neurodegenerative Diseases." In International Conference on Data Science, Machine Learning and Applications, pp. 894-899. Singapore: Springer Nature Singapore, 2023.

An Adaptive Machine Computation of Deep Learning by SK Research Group of Companies, SKRGC Publication.

Industrial IOT and Artificial Intelligence-Based Incentive and Claim Analysis in Human Resources Management System

Autonomous Unmanned Vehicles Traffic Sign Recognition using Deep Learning.