Specialization

Explainable Artificial Intelligence, Machine Learning and Cyber Security

Email

chinu@thapar.edu

Education
1.    PhD in Computer Science and Engineering from National Institute of Technology Jalandhar, Punjab.
o    Title – Design & Analysis of Explainable Methodology to improve the Performance of Artificial Intelligence Model 
2.    M. Tech. in Computer Science and Engineering from Guru Nanak Dev University, Amritsar.
3.    B. Tech. in Computer Science and Engineering from Punjab Technical University. 

Trainings
1.    Certifications in various QIPs/FDPs/STC from organizations like NIT Jalandhar, NITTTER Chandigarh etc.

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (Jan 2026 - present)
2.    Assistant Professor, Computer Science and Engineering Department, SLIET University, Longowal, Sangrur (Mar 2021 – Jan 2026)
3.    Assistant Professor, Computer Science and Engineering Department, Baba Farid College of Engineering & Technology, Deon, Bathinda (20 Jul 2015 – 4 Sep 2020). 
4.    Assistant Professor, Computer Science and Engineering Department, MMU, Sadopur, Ambala (5 Sep 2014 – 16 Jul 2015)

Journal publications
1.    Chinu and Urvashi Bansal, “Fair XIDS: Ensuring fairness and transparency in intrusion detection models”, Concurrency and Computation: Practice and Experience, vol. 36, pp. 1–21, 2024. (SCIE)
2.    Chinu and Urvashi Bansal, “Explainable AI: To Reveal the Logic of Black-Box Models”, New Generation Computing, pp. 53–87, 2023. (SCIE)
3.    Chinu and Urvashi Bansal, “Enhancing Trust and Privacy in Cybersecurity: A Transparent Malware Detection Model with Quality Explanation Metrics”, Cyber-Physical Systems. (Scopus) 
4.    Chinu, Amit Chhabra, "Overview and Comparative Analysis of Edge Detection Techniques", IJICT, 2014.
5.    Chinu, Ramil, Ekta, “Web Searching an Art”, International Journal of Computer Science & Engineering, 2018.
6.    Ramil Gupta, Chinu, Navjot Singh, “Mutation Operators in Python using SMT-P”, IJCSE, 2018.
7.    Shaganpreet Kaur and Chinu, “Comparative analysis of data mining techniques”, IJCSE, 2018.
 

Conference publications
•    Chinu and Urvashi Bansal, “Towards Resilient Cyber Defense: Exploring the Synergy of Adversarial Robustness and Explainable AI in NIDS,” in 6th Intl. Conf. on Deep Learning, AI and Robotics (ICDLAIR), 2024. 
•    Chinu and Amit Chhabra, “A Hybrid approach for color-based image edge detection”, IEEE Third International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014).
•    Chinu and Ritika, "Comparison of Cluster, Grid and Cloud Computing", ELSEVIER International Conference on Information and Mathematical Sciences, ISBN-9789351071624, pp. 207-210, 2013.
•    Chinu, Ritika and Sheetal Charbathia, "Web Analytics: Security", ELSEVIER International Conference on Information and Mathematical SciencesISBN-9789351071624, pp. 262-264, 2013.
•    Chinu and Amit Chhabra, "A Novel Approach For Color Based Image Edge Detection Technique", ELSEVIER ERCICA-2014.
•    Chinu and Amit Chhabra, "Edge Detection Techniques", National Conference on IT & Cyber Security, 2013. 
•    Shaganpreet Kaur, Chinu, Sunny Kumar, “Real-Time Sentimental Analysis of Twitter using R and RHIPE”, ICIM’19. 
•    Chinu, Kulwinder Kaur, “Effective Image Forgery Detection Using Improved Local Binary Patterns”, ICIM’19. 

Book Chapter publication
1.    Chinu, Urvashi Bansal (2023). Power of IoT in smart healthcare systems. In Applications of optimization and machine learning in image processing and IoT (pp. 79–91). Chapman and Hall/CRC. (SCOPUS Indexed).

Peer reviewer for Journals
Engineering Applications of Artificial Intelligence
Computers & Electrical Engineering
New Generation Computing
Cluster Computing