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.  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, 2020.  (Scopus Indexed).


2. Tajinder Singh, Madhu Kumari, “Machine Learning Based Text Mining in Social Media for COVID-19”, CRC Press, Taylor and Francis, 2020  (Scopus,ESCI Indexed).


3. Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, Nikolai Siniak, “Axiomatic Analysis of Pre-processing Methodologies using Machine Learning in Text Mining: A Social Media Perspective in the Internet of Things”, Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation (CCAB-2022), (Scopus Indexed).



Selected Publications in journals


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


2. 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).


3. 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).


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


5. 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).


6. 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).


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


8. 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).


9. 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. Tajinder Singh, Madhu Kumari, Role of text pre-processing in twitter sentiment analysis, Procedia in Computer Science (Elsevier), 2016 (SCOPUS).


2. Mohammad Ahsan, Tajinder Singh, Madhu Kumari, Influential node detection in social network during community detection, IEEE, CCIP, 2016 (SCOPUS).


3. 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, (SCOPUS).


4. 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).


5. 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).



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

Total Journal Paper Published: 13

Total International Conference Paper Published/Accepted: 5
Total Book Chapters: 3

Faculty Development Programme (FDP) Attended: 07

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