Specialization

Image Processing and Machine Learning

Email

nitin.arora@thapar.edu

Education
1.    PhD in Computer Science and Engineering from Indian Institute of Technology, Roorkee.
o    Title – Designing local patterns for content-based image retrieval and classification using machine learning techniques 
2.    M. Tech. in Computer Science and Engineering from G. B. Pant Engineering College, Pauri, Uttarakhand.
3.    B. Tech. in Computer Science and Engineering from NIT Allahabad. 

Experience
1.    Assistant Professor in the Department of Computer Science and Engineering, at Thapar Institute of Engineering and Technology (TIET), Patiala. (July 2024  – Present)
2.    Assistant Professor (SS) in the School of Computer Science, Department of Informatics at University of Petroleum & Engineering Studies (UPES), Dehradun (July 2017 – Dec. 2019)
3.    Assistant Professor in the Department of Computer Science & Engineering at Women’s Institute of Technology (WIT), a constituent institute of Uttarakhand Technical University, Dehradun. (Sept. 2012 – July 2017)
4.    Lecturer in the Department of Computer Science & Engineering at Shobhit Institute of Engineering & Technology (SIET), Saharanpur. (Nov. 2008 – Feb. 2010)

Journal publications
1.    Nitin Arora., S. C. Sharma, “A comparative study on facial image retrieval using local patterns”. Multimed Tools Appl (2024), pp. 1-56. [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-024-18311-y
2.    Nitin Arora, S. C. Sharma, “The practical applications of HLBP texture descriptor”. Multimed Tools Appl vol. 82 (18), pp. 29379–29404 (2023). [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-023-14406-0
3.    Nitin Arora, Sucharitha, G. & Sharma, S.C. MVM-LBP :  mean−variance−median based LBP for face recognition. Int. j. inf. tecnol. 15, 1231–1242 (2023) [Springer, Scopus indexed] [Status: Published]. https://doi.org/10.1007/s41870-023-01204-y
4.    Nitin Arora, Sharma, S.C. ETLBP and ERDLBP descriptors for efficient facial image retrieval in CBIR systems. Multimed Tools Appl vol. 83(4), pp. 9817–9851 (2024). [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-023-15832-w
5.    Sucharitha, G., Arora, Nitin. & Sharma, S.C. Medical image retrieval using a novel local relative directional edge pattern and Zernike moments. Multimed Tools Appl 82, 31737–31757 (2023).  [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-023-14720-7 
6.    Tripathi, K.N., Kaur, G., Arora, N. et al. An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression. J Grid Computing 21, 49 (2023).[SCIE indexed] [Springer, IF: 5.5, Q1]  https://doi.org/10.1007/s10723-023-09680-z 
7.    Arora, N., Kakde, A. & Sharma, S.C. An optimal approach for content-based image retrieval using deep learning on COVID-19 and pneumonia X-ray Images. Int J Syst Assur Eng Manag 14 (Suppl 1), 246–255 (2023).[ESCI indexed] [Springer]https://doi.org/10.1007/s13198-022-01846-4 
8.    Arora, N., Singh, A., Al-Dabagh, M. Z. N., & Maitra, S. K. (2022). A novel architecture for diabetes patients’ prediction using K-means clustering and SVM. [SCIE indexed] [MDPI]Mathematical Problems in Engineering, 2022. 
9.    Arora, N., Ashok, A., & Tiwari, S. (2019). Efficient Image Retrieval through Hybrid Feature Set and Neural Network. International Journal of Image, Graphics & Signal Processing, 11(1).[Scopus indexed]
10.    Martolia, M., Dhanore,N., Singh, A., Shahare, V., & Arora, Nitin. (2020). A modified local binary pattern (lbp) for content-based image retrieval. International Journal of Advanced Science and Technology, 29(1), 1630–1644 (Scopus).
11.    Nitin Arora, Shekhar Karnwal, Kuldeep Narayan Tripathi, Subhash C. Sharma, "Content-based Image Retrieval and Classification Using Modified Elliptical Local Binary Patterns and Machine Learning Techniques," Multimedia Tools and Applications, March 2024. [SCIE indexed] [Springer IF: 3.6, Q1] [Status: Submitted]

Conference publications
1.    Nitin Arora, P. Sharma, P. Kumar and S. C. Sharma, "RTLBP-AN Efficient Local Pattern For Facial Images Retrieval," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 3525-3529, doi: 10.1109/ICASSP48485.2024.10446190.
2.    Nitin Arora, & S. C. Sharma, "Resource-efficient image retrieval: A study of local patterns vs. deep learning models," 2023 4th international conference on machine learning, advances in computing, renewable energy, and communication, (MARC), [Presented Springer, Scopus]
3.    Nitin Arora, P. Yadav, K. Tripathi, and S. Sharma, "Performance of CNN for different facial expression images with varying input dataset sizes," 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), Dehradun, India, 2023, pp. 351-355, doi: 10.1109/DICCT56244.2023.10110137
4.    P. Yadav, N. Arora and S. Chander Sharma, "Performance Analysis of Nature-Inspired Optimization Algorithms for Chronic Disease Prediction," 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), Dehradun, India, 2023, pp. 1-6, doi: 10.1109/DICCT56244.2023.10110169. 
5.    N. Arora, M. R. Mishra, V. Goswami, J. Chakraborty, L. Barik and S. S. Patra, "Blockchain based Qinsurancechain: Role of Smart Contracts in Fast and Secure Healthcare Insurance Claim," 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2022, pp. 635-641, doi: 10.1109/ICESC54411.2022.9885531. 

Book Chapter publication
1.    Hayat, A., Shahare, V., Sharma, A.K., Arora, N. (2023). Introduction to Industry 4.0. In: Namasudra, S., Akkaya, K. (eds) Blockchain and its Applications in Industry 4.0. Studies in Big Data, vol 119. Springer, Singapore. https://doi.org/10.1007/978-981-19-8730-4_2 
2.    Singh, A., Arora, N., & Singh, T. P. Role of IoT in Smart Cities: Proliferation and Challenges. In AI-Based Data Analytics (pp. 141-155). Auerbach Publications. 
3.    Singh, A., Singh, R., & Arora, N. Abnormality Classifications Using Machine Learning. In Artificial Intelligence and Machine Learning (pp. 101-112). CRC Press. 
4.    Arora, N., Singh, A., Shahare, V., & Datta, G. (2023). Introduction to Big Data Analytics. In Towards the Integration of IoT, Cloud and Big Data: Services, Applications and Standards (pp. 1-18). Singapore: Springer Nature Singapore. 
5.    Shahare, V., Arora, N., Hayat, A., & Mouje, N. (2023). Machine Learning Algorithms for Big Data Analytics. In Demystifying Big Data Analytics for Industries and Smart Societies (pp. 47-63). Chapman and Hall/CRC. 
Patents(s)
1.    Australian Innovation Patent, Application No: 2021103327, Title: System and Method for Measurement of Water Quality, Temperature and Level in a Storage Tank, Status: Granted 

Honours and Achievements
    2024 ICASSP 2024 Chaired a session during ICASSP 2024, held from April 14th to 19th, 2024, in Seoul, Korea.
    2024 ICASSP 2024 Received a travel grant (Part of registration fees) of Rs. 50,000/- from Dean of Resources and Alumni Affairs (DORA), IIT Roorkee for presenting my work in International conference. Link: https://alumni.iitr.ac.in/home
    2024 ICASSP 2024 Received a travel grant (Part of one side Airfair) of Rs. 30,000/- from CSIR-HRDG for presenting my work in International conference. Link: https://csirhrdg.res.in/Home/Index/1/Default/2677/69
    2023 IDEATHON Participated and won consolation prize in IDEATHON organized by Shobhit University, Meerut, India.
    2023 Essay writing Competition Won third prize in an essay writing competition organized by IIT, Roorkee.
    2020–till date MHRD Scholarship during Ph.D. based on GATE score.
    2019 Research Award at UPES, Dehradun.
    2016–17 Best Faculty Award at Women Institute of Technology, Dehradun.
    2012 University Gold Medalist during M.Tech. 2012 batch.
    UGC-NET qualified.
    2010–12 MHRD Scholarship during M.Tech. based on GATE score.
    2008–2012 GATE qualified (5 times)