Dr. Tajinder Singh

Basic Details

Name

Dr. Tajinder Singh

Designation

Assistant Professor(Regular)

Department

Computer Science & Engineering

Contact

Phone (O)

91-9779017839

Phone(R)

91-9779017839

e-mail

tajindersingh@sliet.ac.in

Educational Details

Educational Qualification

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

Experience

Experience

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

Assistant Professor (Grade-II) at Indian Institute of Management Kashipur, Uttrakhand  in the department of Information Technology and Systems from 25th June 2020 to Nov-18-2020.

Assistant Professor at the University of Information Sciences and Technology, Ohrid, Macedonia from October 2019 to 24th – June-2020 as a faculty of Information System, Visualization, Multimedia and Animation.

 

Book Authored

Book authored

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)

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

Publications

Publications

1.         Burst: real-time events burst detection in social text stream, T Singh, M Kumari – The Journal of Supercomputing,  Springer, 2021, (SCIE, IMPACT FACTOR 2.47).
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, IMPACT FACTOR 3.17).
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, IMPACT FACTOR  0.8).
4.        Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, Real-time Event Detection and Classification in Social Text Steam using Embedding, Information System Frontiers, Springer, 2021, (Accepted, SCI, IMPACT FACTOR 6.19).
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).
INTERNATIONAL CONFERENCES
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).
1.

Research/Projects

Research

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