Specialization

Active Learning, Data Centric AI, Incremental learning, Graph Neural Networks, Machine Learning

Email

ritesh.sharma1@thapar.edu

Education
1.    PhD in Computer Science and Engineering from IIT (BHU), Varanasi
2.    M. Tech. in Information technology from Tezpur Central University
3.    B. Tech in Computer Science and Engineering from Institute of Chartered Financial Analysts of India University, Dehradun

Awards & Achievement
• GATE qualified with 98.6 percentile in Computer Science & Engineering.
• UGC-NET qualified in computer science and applications with 64 percent marks.
• Awarded with full time institute assistantship in MTech and Ph.D by MHRD.
• Awarded with fellowship in B. TECH for having good academic performance.
• Awarded with fellowship in class 10th and 11th by Himachal Board.

Experience
1.    Assistant Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala, Punjab (Aug 2024 – Present)
2.    Assistant Professor, Department of Information and Communication Technology, Manipal Academy of Higher Education, Manipal (Aug 2023 – July 2024)
3.    Lecturer, Department of Computer Science and Engineering, National Institute of Technology Hamirpur and IIIT UNA, India (August 2017 – June 2018)
4.    Assistant Professor, Department of Computer Science and Engineering, Indus International University (Aug 2015 – Aug 2017)

Journal publications
1)    Kumar, Sushant and Sharma, Ritesh, et al. "Potential Impact of Data-Centric AI on Society." IEEE Technology and Society Magazine, vol.42, no.3, pp. 98-107, Sept. 2023 (SCIE, Q1) [IF =2.1]
2)    Singh, Vishakha and Sharma, Ritesh, et al. "Designing New Blood-Brain Barrier Penetrating Molecules Using Novel Hybridized Gravitational Search Algorithm and Explainable AI." IEEE Transactions on Artificial Intelligence, vol.5, no.5, pp. 2127-2138, May 2024 (Q1)
3)    Kumar, Sushant and Sharma, Ritesh, et al "Opportunities and Challenges in Data-Centric AI " IEEE Access, vol. 12, pp. 33173-33189, 2024(SCIE, Q1) [IF =3.4]
4)    Singh, Vishakha and Sharma, Ritesh, et al. "A novel framework based on explainable AI and genetic algorithms for designing neurological medicines." Nature Scientific Reports 14.1 (2024): 12807. (SCIE, Q1) [IF =3.8]
5)    Kumar, Sushant and Sharma, Ritesh, et al "Applications, Challenges, and Future Directions of Human-in-the-Loop Learning" IEEE Access, vol. 12, pp. 75735 - 75760, 2024 (SCIE, Q1) [IF =3.4]
6)    Sharma, Ritesh, et al. "EnDL-HemoLyt: Ensemble of deep learning classifiers to identify low hemolytic therapeutic peptides." IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 4, pp. 1896-1905, April 2024 (SCIE, Q1) [IF = 6.7]
7)    Sharma, Ritesh, et al. "Artificial intelligence-based model for predicting the minimum inhibitory concentration of antibacterial peptides against ESKAPEE pathogens." IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 4, pp. 1949-1958, April 2024 (SCIE, Q1) [IF = 6.7]

Conference publications
Singh, Vishakha and Sharma, Ritesh, et al. "Using explainable AI and genetic algorithms to drive the discovery of novel antiviral molecules." In 2023 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, pp. 348-352. IEEE, 2023. 

Peer reviewer for Journals
•    IEEE Transactions on Artificial Intelligence 
•    IEEE Transactions on Computational Social Systems
•    IEEE/ACM Transactions on Computational Biology and Bioinformatics
•    IEEE Access 
•    Nature Scientific Reports