Dr. Tajinder Singh

Basic Details


Dr. Tajinder Singh


Assistant Professor


Computer Science & Engineering


Phone (O)






Educational Details

Educational Qualification

Ph.D entitled “Machine Learning Based Text Mining in Social Media” from National Institute of Technology, Hamirpur, India.



Assistant Professor  in Department of Computer Science & Engineering and Technology, at SLIET Longowal, Punjab from 20th November 2020 to Till Date.


Worked as Assistant Professor Grade II (Level 11)  in the area of Information Technology & Systems at Indian Institute of Management Kashipur, Uttrakhand, India


Worked as Assistant Professor at St. Apostle The University of Information Sciences and Technology, Ohrid, Macedonia.


Worked as Assistant Professor in the department of Computer Science & Engineering at Chandigarh University, Gharuan, Mohali, Ounjab, India.

Book Authored

Book authored

Selected Book Chapters
1.    Tajinder Singh, Madhu KumariDaya Sagar GuptaNikolai Siniak, “Axiomatic Analysis of Pre-processing Methodologies using Machine Learning in Text Mining: A Social Media Perspective in the Internet of Things”, ,Wiley, A Social Media Perspective in Internet of Thing, pp.229-256,2023.


2.     Tajinder SinghMadhu KumariMachine Learning-Based Text Mining in Social Media for COVID-19, CRC Press, Computational Modeling and Data Analysis in COVID-19 Research, pp.1-32, 2021.


3. Deepti Rani, Anju Sangwan, Anupma Sangwan, Tajinder Singh, Machine Learning Techniques for Underwater Wireless Sensor Networks: A Comprehensive Study, IGI Global,  Energy-Efficient Underwater Wireless Communications and Networking, pp.194-211, 2021. DOI: 10.4018/978-1-7998-3640-7.ch013


4.     Tajinder Singh, Madhu Kumari, How Do Clustering Help Us with Better Understanding in Social Text Streams: Data clustering and classification with ML and DL, CRC Press, Security and Risk Analysis for Intelligent Cloud Computing, 2023 (Accepted).

Professional Memebership

Professional Membership

Member of IEEE



Selected Publications in journals

1.   Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, “Belief       Meets Rumor: Rumor identification and diffusion – A Reality Identification in Social Media Text Stream”  Springer, The Journal of Super Computing, 2023 (SCIE).


2.    Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, Context-based persuasion analysis of sentiment polarity disambiguation in social media text streams, Springer, New Generation Computing,, Issue 4, 2023 (SCIE).


3.    Tajinder Singh, M Kumari, “Burst: Real time event burst detection in social text streams”,  – The Journal of Supercomputing,  Springer, 2021, (SCIE).


4. Daya Sagar Gupta, Sangram Ray, Tajinder Singh, Madhu Kumari, Post-quantum lightweight identity-based two-party authenticated key exchange protocol for Internet of Vehicles with probable security, Computer Communications,  Elsevier, 2021, (SCI).


5.    Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, Real-time Event Detection and Classification in Social Text Steam using Embedding, Cluster Computing, Springer, 2022, (SCI).


6. Ranjeet Kaur, Yogesh Kumar Sharma, Tajinder Singh, Measuring Accuracy of Stock Price Prediction Using Novel Hybrid Model – A Machine Learning Classifier, , Ciencia e Technia, 2021, (SCI).


7. Ranjeet Kaur, Supreet Kaur, Tajinder Singh, Measuring Accuracy and analysis of Stock Price Prediction using various Machine Learning Classifiers, Jounal of Xidian Unicersity, 2020, (SCOPUS).


8. Mohammad Ahsan, MadhuKumari, Tajinder Singh, Triveni Lal Pal, Sentiment based information diffusion in online social networks, International Journal of Knowledge Discovery in Bioinformatics (IGI Global), 2018, (SCOPUS).


9. Triveni Lal Pal, Madhu Kumari, Tajinder Singh, Mohammad Ahsan, Semantic Representations in Text Data, International Journal of Grid and Distributed Computing, 2018, (ESCI, SCOPUS).


10.    Tajinder Singh, Madhu Kumari, Shweta Mahajan, Feature oriented fuzzy logic based web spam detection, Journal of Information and Optimization Science (Taylor and Francis), 2018, (ESCI, SCOPUS).


11.    Tajinder Singh, MadhuKumari, Triveni Lal Pal, Ahsan Chauhan, Current trends in text mining for social media, International Journal of Grid and Distributed Computing, 2017, (ESCI, SCOPUS).




1. Amar Nath, Rajdeep Niyogi, Tajinder Singh, Multi-agent Deep Q-learning based Navigation, The 37-th International Conference on Advanced Information Networking and Applications (AINA-2023) (Accepted).


2. Tajinder Singh, Amar Nath, Rajdeep Niyogi Ramification of sentiments on robot-based smart agriculture: An analysis using real-time tweets’ The 37-th International Conference on Advanced Information Networking and Applications (AINA-2023).


3. Amar Nath, Rajdeep Niyogi, Tajinder Singh,Virendra Kumar, Multi-Agent Q-learning based Navigation in an Unknown Environment, The 36-th International Conference on Advanced Information Networking and Applications (AINA-2022).


4. Naman Goyal, Major Singh, Tajinder Singh, An axiomatic analysis for object detection and recognition using Deep learning, International Conference on Human-Centric Smart Computing, ICHCSC-2022, (SCOPUS).


5. Tajinder Singh, Madhu Kumari, Amar Nath, Rajeev Bedi, Nikolai Siniak, Event tracking and analysis in social media text stream, 7th International Conference on Advanced Computing and Intelligent Engineering, 2022 (SCOPUS).


6. Madhu Kumari, Tajinder Singh, Food Image to Cooking Instructions Conversion Through Compressed Embeddings Using Deep Learning, IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 2019.


7. Tajinder Singh, Madhu Kumari, Role of text pre-processing in twitter sentiment analysis, Role of text pre-processing in twitter sentiment analysis, Procedia Computer Science, 2016.


8. M. Ahsan, Tajinder Singh, M. Kumari, “Influential node detection in social network during community detection,” 2015 International Conference on Cognitive Computing and Information Processing (CCIP), 2016, pp. 1-6.






Area of Specialization

Artificial IntelligenceMachine Learning, Text Analytics,  Online Social Text Stream Analysis and E-Commerce.


Research Project:

Principal Investigator: Dr. Tajinder Singh

Amount Sanctioned: 5 Lac

Project Title: “TDA: Deep Learning for Threat, Derogation, Animosity Detection in social media”, Project under seed grant OF SLIET, Longowal.




Total Journal Paper Published: 13


Total International Conference Paper Published/Accepted: 8

Total Book Chapters: 4


Faculty Development Programme (FDP) Attended: 10


Invited Lectures/Talks: 05


MOOCs – Online Certifications: Qualified First phase training (08 Modules) of AICTE – National Initiative for Training of Technical Teachers (NITTT) | Coordinating Institute: NITTTR Chennai.


M.Tech Thesis Guided: 01

Thesis Title:  A Deep Learning based model for human action recognition in the video sequences


PhD. Guided/Ongoing: 01

Area of research: Deep Learning