Specialization

Machine Learning, Image Processing, Medical Imaging, Computer Vision

Email

rahul.nijhawan@thapar.edu

Education

Ph.D.           I I T Roorkee                Machine Learning
M. Tech       I I T Roorkee                 Machine Learning,Multispectral images
B. Tech       College of Engineering Roorkee                           

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (April, 2023 - present)
2.    Assistant Professor, Department of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India (October 2020- March 2023)
3.    Assistant Professor, Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India (October 2018 – September 2020)

Journal publications
1.    Nijhawan, Rahul, et al. " VTnet+Handcrafted based approach for food cuisines classification”, Multimedia Tools and Applications, 2023-Accepted. [Impact factor=2.577, h-index=80, SCI Index]

2.    Nijhawan, Rahul, et al. "Gun identification from gunshot audios for secure public places using transformer learning." Scientific Reports 12.1 (2022): 1-10. [Impact factor=5.5, h5-index=242, SCI Index]

3.    Bagwari, Shubham, Nijhawan, Rahul, et al. "A Edge Filter Based Approach of Neural Style Transfer to the Image Stylization." IEEE Access (2022). [Impact factor=3.367, SCI Index]

4.    Huma Naz., Rahul Nijhawan et al." An Automated Unsupervised Deep Learning based approach for Diabetic Retinopathy Detection." Medical and Biological Engineering Computing (2022). [Impact factor=3.079, SCI Index]

5.    Nijhawan, R., Das, J., and Raman, B. A Hybrid of Deep Learning and Hand-Crafted Features based approach for Snow Cover Mapping. International Journal of Remote Sensing, 40.2 (2019): 759-773 [Impact factor=3.4, h5-index=42, SCI Index]

6.    Nijhawan, R., Raman, B., and Das, J. (2018). Proposed Hybrid-Classifier Ensemble Algorithm to Map Snow Cover Area. Journal of Applied Remote Sensing, 12(1), 016003. [Impact Factor=1.531, h5-index=23, SCI Index]

7.    Nijhawan, R., Das, J., and Balasubramanian, R. (2018). A Hybrid CNN+ Random Forest Approach to Delineate Debris Covered Glaciers Using Deep Features. Journal of the Indian Society of Remote Sensing, 1-9. [Impact factor=1.894, h5-index=16, SCI Index]

8.    Nijhawan, R., Garg, P., and Thakur, P. (2016). A comparison of classification techniques for glacier change detection using multispectral images. Perspectives in Science (Elsevier), 8, 377-380.

9.    Nijhawan, R., Garg, P. K., and Thakur, P. K. (2016). Monitoring of glacier in Alaknanda basin using remote sensing data. Perspectives in Science (Elsevier), 8, 381-383.
 

International Conferences:
1.    Nijhawan et.al "A Modern Replica for COVID-19 Pestilential Disease Identification." 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), London, United Kingdom.

2.    Nijhawan, Rahul, et al. "Automated Deep Learning Based Approach for Albinism Detection." Recent Trends in Image Processing and Pattern Recognition: 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Springer Nature Switzerland, 2023.

3.    Ishtiaq, Muhammad, et al., Nijhawan, Rahul, "Detecting Depression on Social Platforms Using Machine Learning." Innovations in Bio-Inspired Computing and Applications: Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022) Held During December 15-17, 2022, Machine intelligence research labs, USA. Cham: Springer Nature Switzerland, 2023.

4.    Jerripothula, Koteswar Rao, Sharik Ali Ansari, and Rahul Nijhawan. "A Vision-based Solution for Track Misalignment Detection." 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Brazil, IEEE, 2021.

5.    Pancholi, Nikhil, Nijhawan, Rahul, et al. "Classification and Detection of Acne on the Skin using Deep Learning Algorithms." 2021 19th OITS International Conference on Information Technology (OCIT). IEEE, 2021.

6.    Mohanty, Shalok, Nijhawan, Rahul, et al. "Identification of Diabetic Foot Ulcer in Images using Machine Learning." 2021 19th OITS International Conference on Information Technology (OCIT). IEEE, 2021.

7.    Nijhawan, Rahul, et al. "An integrated deep learning framework approach for nail disease identification." 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2017.

8.    Nijhawan, Rahul, et al. "A deep learning hybrid CNN framework approach for vegetation cover mapping using deep features." 2017 13th international conference on signal-image technology & internet-based systems (SITIS). IEEE, 2017.

Patent
A System of stand-alone electronically temperature-controlled utensils (Published)
 

Invited Talks:
       1.    RMSC: BIT'S 12th World Congress of Regenerative Medicine and Stem Cell, December 2018, X'ian, China.
       2.   Deep Learning Architectures, September 2018, Graphic Era University, Dehradun.
Awards
1.    Received Young Scientist Award in Uttarakhand State Science and Technology Congress, UCOST, 2017-2018, Uttarakhand State Council for Science and Technology, Dehradun, INDIA.

2.    Received Best Ph.D. Thesis Award in Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2019, NIT Kurukshetra, INDIA.

3.    Received Best Speaker Award in International Conference on Advances in Computing and Data Sciences, ICACDS, 2018, Springer.

Reviewer
1.   IEEE Transactions on Geoscience and Remote Sensing {Impact Factor 5.630}
        2. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing {Impact Factor 3.392}
        3. Earth Systems and Environment {Impact Factor 0.83}
        4. SN Applied Sciences {Impact Factor 0.83}

Achievements
- Branch second topper in B.Tech first year. 
- M.Tech second topper in first semester.
- Cleared GATE (2012) in computer science with a 99.56 percentile.
-Secured first position in GIGABIT in MANTHAN'11, Annual Inter-College Techno Management Fest of College of Engineering Roorkee, Roorkee.
- Distinction throughout