Birla Institute of Technology, Mesra
Faculty Image

Mr. Abhishek Thakur

Joined Institute on : 12-Mar-2026

  • Assistant Professor
  • Electrical and Electronics Engineering
  • M.Tech, Ph.D. (Thesis Submitted)
Contact Address

Birla Institute of Technology (BIT) Jaipur Campus , Malviya Industrial Area, near Apex Circle , Jaipur, Rajasthan- 302017

Narendra Sadan, Laheriasarai, Darbhanga, Bihar-846001

  • Phone Office - 8917443457
  • Phone Residence - 8917443457
  • Email - abhishekthakur9396@gmail.com
Work Experience
Research : 4 Years
Publications

Journals:

  1. Thakur, A., & Mishra, S. K. (2024). “An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles.” Engineering Applications of Artificial Intelligence, Elsevier, Vol. 133, Part F, Article No. 108550. ISSN: 0952-1976; Online ISSN: 1873-6769. DOI: https://doi.org/10.1016/j.engappai.2024.108550. Impact Factor: 8.0; CiteScore: 9.5; Indexed in Scopus and Science Citation Index Expanded (SCIE).
  2. Thakur, A., & Mishra, S. K. (2025). “A comprehensive review on deep learning based adaptive methods for obstacle detection in autonomous ground vehicles using sensor fusion.” International Journal of Heavy Vehicle Systems, Inderscience Publishers, DOI: https://doi.org/10.1504/IJHVS.2025.10072587. ISSN Online: 1741-5152; ISSN Print: 1744-232X. Impact Factor: 0.6; 5-Year Impact Factor: 0.8; CiteScore: 1.2. Indexed in Scopus, Science Citation Index Expanded (SCIE), Journal Citation Reports, Compendex/Ei, and J-Gate.
  3. Thakur, A., Kumar, A., Mishra, S. K., Behera, S. K., Sethi, J., Sahu, S. S., & Swain, S. K. (2024). “Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting.” SN Computer Science, Springer Nature Singapore, Vol. 5, Article No. 659. DOI: https://doi.org/10.1007/s42979-024-02999-8. Electronic ISSN: 2661-8907; Print ISSN: 2662-995X; CiteScore: 5.8; SJR: 0.565; SNIP: 1.137; Indexed in Scopus and other major academic databases.
  4. Thakur, A., Das, S., Mishra, S. K., & Swain, S. K. (2025). “Adaptive stochastic gradient descent with least angle regression enhanced navigation: intelligent path planning in cluttered environments for autonomous robots.” Transactions on Energy Systems and Engineering Applications, Universidad Tecnológica de Bolívar, Vol. 6, No. 2, pp. 1–26. DOI: https://doi.org/10.32397/tesea.vol6.n2.602. ISSN: 2745-0120; Indexed in Scopus, DOAJ, Dialnet, and Google Scholar.
  5. Thakur, A., Mishra, S. K., Bhutani, M., Dash, P. P., Upadhyay, P. K., & Sahu, S. S. (2026). “Deep learning approaches for detecting malignant melanoma in dermoscopic imagery.” International Journal of Information Technology, Springer Nature, Vol. 18, pp. 91–109. DOI: https://doi.org/10.1007/s41870-025-02651-5. Electronic ISSN: 2511-2112; Print ISSN: 2511-2104; Indexed in Scopus.

Book Chapters:

  1. Thakur, A., & Mishra, S. K. (2023). “Review on Vision-Based Control Using Artificial Intelligence in Autonomous Ground Vehicle.” In R. P. Yadav, S. J. Nanda, P. S. Rana, & M.-H. Lim (Eds.), Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences, Algorithms for Intelligent Systems, Springer Nature Singapore, pp. 617–626. DOI: https://doi.org/10.1007/978-981-19-8742-7_49. Print ISBN: 978-981-19-8741-0; Online ISBN: 978-981-19-8742-7; First Online: 24 February 2023.
  2. Das, S., Kumari, R., Kumar, A., Thakur, A., & Singh, R. K. (2024). “Unveiling Superior Lane Detection Techniques Through the Synergistic Fusion of Attention-Based Vision Transformers and Dense Convolutional Neural Networks.” In A. E. Hassanien, S. Anand, A. Jaiswal, & P. Kumar (Eds.), Innovative Computing and Communications, ICICC 2024, Lecture Notes in Networks and Systems, Vol. 1020, Springer Nature Singapore, pp. 15–27. DOI: https://doi.org/10.1007/978-981-97-3588-4_2. Print ISBN: 978-981-97-3587-7; Online ISBN: 978-981-97-3588-4; First Online: 24 July 2024.
  3. Kumar, A., Thakur, A., Mishra, S. K., & Swain, S. K. (2024). “LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Median-Lane Positioning for Prototype Autonomous Vehicle.” In S. J. Nanda, R. P. Yadav, A. H. Gandomi, & M. Saraswat (Eds.), Data Science and Applications, ICDSA 2023, Lecture Notes in Networks and Systems, Vol. 821, Springer Nature Singapore, pp. 169–179. DOI: https://doi.org/10.1007/978-981-99-7814-4_14. Print ISBN: 978-981-99-7813-7; Online ISBN: 978-981-99-7814-4; First Online: 25 February 2024.
  4. Thakur, A., Kumar, A., & Mishra, S. K. (2024). “Control Techniques for Vision-Based Autonomous Vehicles for Agricultural Applications: A Meta-analytic Review.” In H. Sharma, A. Chakravorty, S. Hussain, & R. Kumari (Eds.), Artificial Intelligence: Theory and Applications, AITA 2023, Lecture Notes in Networks and Systems, Vol. 843, Springer Nature Singapore, pp. 1–14. DOI: https://doi.org/10.1007/978-981-99-8476-3_1. Print ISBN: 978-981-99-8475-6; Online ISBN: 978-981-99-8476-3.
  5. Das, S., Thakur, A., Mishra, S. K., Swain, S. K., & Kumari, R. (2024). “Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance.” In S. J. Nanda, R. P. Yadav, A. H. Gandomi, & M. Saraswat (Eds.), Data Science and Applications, ICDSA 2023, Lecture Notes in Networks and Systems, Vol. 820, Springer Nature Singapore, pp. 43–55. DOI: https://doi.org/10.1007/978-981-99-7817-5_5. Print ISBN: 978-981-99-7816-8; Online ISBN: 978-981-99-7817-5.
  6. Lohani, M. P., Raj, A., Rawat, P., Thakur, A., & Mishra, S. K. (2026). “Deep Q-Learning for Autonomous Path Following: A Multi-environment Study with Obstacle Avoidance.” In H. Sharma, A. Bhatt, C. Modi, & A. Engelbrecht (Eds.), Computer Vision and Robotics, CVR 2025, Lecture Notes in Networks and Systems, Vol. 1770, Springer, Cham, pp. 453–466. DOI: https://doi.org/10.1007/978-3-032-14038-8_36. Print ISBN: 978-3-032-14037-1; Online ISBN: 978-3-032-14038-8.
  7. Kumari, R., Das, S., Thakur, A., Kumar, A., & Singh, R. K. (2024). “Autonomous Vehicles.” In K. Malik, M. Sharma, S. Deswal, U. Gupta, D. Agarwal, & Y. O. B. Al Shamsi (Eds.), Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications, CRC Press/Taylor & Francis, Chapter 1, pp. 1–24. DOI: https://doi.org/10.1201/9781003502432-1. eBook ISBN: 9781003502432.
  8. Das, S., Kumari, R., Thakur, A., Singh, R. K., & Nigam, A. (2024). “Path Planning for Autonomous Ground Vehicles by Applying Modified Harris Hawks Optimization Technique.” In M. Pant, K. Deep, & A. Nagar (Eds.), Proceedings of the 12th International Conference on Soft Computing for Problem Solving, SocProS 2023, Lecture Notes in Networks and Systems, Vol. 994, Springer Nature Singapore, pp. 161–171. DOI: https://doi.org/10.1007/978-981-97-3180-0_11. Print ISBN: 978-981-97-3179-4; Online ISBN: 978-981-97-3180-0; First Online: 23 July 2024.

Conferences:

1.Thakur, A., Gupta, V., Joshi, A., Mishra, S. K., & Swain, S. K. (2025). “α-Blend MPC: A Curvature-Adaptive Dual-Weight Model Predictive Control for Autonomous Vehicle Navigation.” In Proceedings of the 2025 IEEE 4th International Conference on Smart Technologies for Power, Energy and Control (STPEC 2025), IEEE, NIT Goa, India, 10–13 December 2025. IEEE Xplore Document No.: 10826927; Conference Paper.

2.Thakur, A., Gupta, V., Joshi, A., Mishra, S. K., & Swain, S. K. (2025). “α-Blend MPC: A Curvature-Adaptive Dual-Weight Model Predictive Control for Autonomous Vehicle Navigation.” In Proceedings of the 2025 IEEE 4th International Conference on Smart Technologies for Power, Energy and Control (STPEC 2025), IEEE, NIT Goa, India. DOI: https://doi.org/10.1109/STPEC66316.2025.11490864. IEEE Xplore Document No.: 11490864; Conference Paper.
Intellectual Property Rights (IPR)

1.Ankit Kumar, Abhishek Thakur, Sudhansu Kumar Mishra, Subrat Kumar Swain, and Sitanshu Sekhar Sahu, “An Autonomous Vehicle Navigation System and Method Thereof,” Indian Patent / Indian Design Patent, Application No. 202331066870, Indian Patent Office, Government of India, filed on 05 October 2023 and published in Patent Journal on 03 November 2023.