Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Deepak Gupta
Assistant Professor (SG)
(91) 01792 239374
[email protected], [email protected]
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Biography :

Deepak Gupta is working as Assistant Professor in the Department of Computer Science & Engineering at Jaypee University of Information Technology, Waknaghat (India). He has completed his Ph.D. in Computer Science & Engineering from Thapar Institute of Engineering and Technology (Deemed to be University), Patiala (India). Prior to his foray into academia, he worked in IT industry for a decade performing different roles in software product development and program management. In academics, he has gained extensive experience in teaching, research, and academic administration over the past decade. In all, he has more than 22 years of rich experience in IT industry and academics. His research interests include big data analytics, cybersecurity, machine/deep learning, and programming languages.

Author Publication Profile:

Publication(s): Click Here to Add New Publication(s)
2024 (2)	2023 (3)	2022 (2)	2021 (2)	2019 (1)	All

Book Chapter(s) :

Deepak Gupta, Ekta Gandotra, Yogesh Mohan, Sukhvir Singh (2023). Analysis of Ensemble Methods for Phishing Detection. In In Intelligent Multimedia Signal Processing for Smart Ecosystems pp. 85-100 Switzerland : Springer, Cham. [ISBN : 978-3-031-34872-3] [SCOPUS ]. Google Search
Meghna Dhalaria, Ekta Gandotra, Deepak Gupta (2023). Comparative Analysis of Feature Selection Methods for Detection of Android Malware. In Convergence of Deep Learning and Internet of Things: Computing and Technology pp. 263-284 : IGI Global. [ISBN : 9781668462751] [SCOPUS ]. Google Search
Ekta Gandotra, Deepak Gupta (2021). An Efficient Approach for Phishing Detection using Machine Learning. In Multimedia Security: Algorithm Development, Analysis and Applications pp. 239-253 Singapore: Springer. [ISBN : 978-981-15-8711-5] []. Google Search

Journal(s) :

Digvijay Puri, Deepak Gupta (2024). H-Mrk-Means: Enhanced Heuristic Mrk-Means for Linear Time Clustering of Big Data Using Hybrid Meta-Heuristic Algorithm. Journal of Information & Knowledge Management, Online (), pp. 2450054-, DOI: https://doi.org/10.1142/S0219649224500540 [SCOPUS ]. Google Citation
Digvijay Puri, Deepak Gupta (2024). A novel linear time clustering using heuristically improved mrk-medoids based on modified squirrel search algorithm. Australian Journal of Electrical and Electronics Engineering, Online (), pp. 1-16, DOI: https://doi.org/10.1080/1448837X.2024.2333670 [SCOPUS ]. Google Citation
Anubha Bhaik, Vaishnavi Singh, Ekta Gandotra, Deepak Gupta (2022). Detection of Improperly Worn Face Masks using Deep Learning A Preventive Measure Against the Spread of COVID-19. International Journal of Interactive Multimedia and Artificial Intelligence, 7 (7), pp. 14-25, DOI: 10.9781/ijimai.2021.09.003 [SCOPUS , SCI ]. Google Citation
Ekta Gandotra, Deepak Gupta (2021). Improving Spoofed Website Detection Using Machine Learning. Cybernetics and Systems, 52 (2), pp. 169-190, DOI: 10.1080/01969722.2020.1826659 [SCOPUS , SCI ]. Google Citation
Arushi Sharma, Ekta Gandotra, Divya Bansal, Deepak Gupta (2019). Malware Capability Assessment using Fuzzy Logic. Cybernetics and Systems, 50 (4), pp. 323-338, DOI: https://doi.org/10.1080/01969722.2018.1552906 [SCOPUS , SCI ]. Google Citation

Conference(s) :

Nikhil Jindal, Dhruv Rastogi, Kartik Joshi, Deepak Gupta (2023). Identification of Phishing Attacks using Machine Learning. Proceedings of the International Conference on Image Information Processing (ICIIP), pp. [7th : Solan, India : 22-24 November 2023], pp.941-946. [SCOPUS]. Google Citation
Divya Sharma, Kritika Shelly, Ekta Gandotra, Deepak Gupta (2022). Diagnosis of Covid-19 using Deep Learning. Proceedings of the International Conference on Contemporary Computing [14th : Noida, U.P. : 4-6 August, 2022], pp.388-395.. Google Citation

Computer Science & Engineering and Information Technology (CSE&IT)

FACULTY NAMES