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Dr. Pankaj Sharma

Dr. Pankaj Sharma

Designation Professor
School Anand School of Engineering & Technology
Department Computer Science & Engineering (CSE)
E-mail pankaj.sharma@agra.sharda.ac.in
About

Prof. (Dr.) Pankaj Sharma has been associated with Sharda University Agra as Associate Professor in Department of Computer Science & Engineering, Anand School of Engineering & Technology. He has a wide experience of 27 years in industry, academics, research and administration. He is having more than 30 research papers in his name. He has guided 05 PhD scholars under his supervision.

Experience

27+ Years

Qualification

PhD, M.Tech, B.E. (Computer Science)

Award & Recognition

  • Publication in SCOUPS/SCI journals: 06
  • International journals papers: 15
  • International Conference papers: 08
  • National Conference papers: 03
  • Patent: 01

Achievement

  • Delivered Expert Talk on “Artificial Intelligence and Its Emerging Applications” at SRGOC, Gwalior on 15th May 2026.
  • Delivered a session as expert on Artificial Intelligence, organized by Dainik Jagran, Agra on 23rd February, 2026.
  • Delivered a guest lecture on “Smart Shoe” at Dawar Footwear Industries, Agra on 12th February, 2026.
  • Delivered a talk on “Role of AI and Cyber Security in Business” during FDP on “Technology Innovations and Entrepreneurship” organized by CDAC-Mohali, sponsored by Ministry of Electronics and Information Technology held at Eshan College of Engineering in January 2025.
  • Panelist in the session on “Smart Shoe: AI in Footwear” during the event “Meet At Agra” organized by Agra Footwear Manufacturers and Exporters Chamber at Agra Trade Centre, Agra from 08th November – 10th November, 2024.
  • Session chair in the International Conference on Applied Artificial Intelligence (AAI-2024) held from 02nd – 4th July, 2024 at Shoolini University, Solan, Himachal Pradesh.
  • Panelist in the session during “Startup Era Conclave 2024” organized by Corporate Council for Leadership & Awareness (CCLA) on 10th May, 2024 at ITC Mughal, Agra.
  • Panelist in the session on “Smart Footwear, use of AI, Digital Marketing” during the event “Meet At Agra” organized by Agra Footwear Manufacturers and Exporters Chamber at Agra Trade Centre, Agra from 27th October – 29th October 2023.
  • Delivered a talk on “Sustainable Ecosystem: Our responsibility for the future”” at CSIR-NEERI, Delhi on 09th October 2023.
  • Delivered a talk on “Growth of Digitalization and E-Governance” during Technical Training Programme “Attechment of Danics Probationers (59th Batch)” at Delhi Technological University, Delhi organized by Human Resource Development Centre (HRDC) IN ASSOCIATION WITH Directorate of Training (Union Territories Civil Services), Govt. of NCT of Delhi from 11th – 29th September, 2023
  • Delivered lecture for Pre-PhD Course work at Dr. Bhimrao Ambedkar University Agra in August, 2022.
  • Delivered Guest lecture on “Cyber Security Awareness” at Dawar Footwear Industries, Agra on 22nd July, 2022.
  • Delivered Guest lecture on “Cyber Security” at Central Footwear Training Institute (CFTI), Agra on 27th May, 2022.
  • Delivered an expert talk on “Computer Networks and its Application” at Hindustan College of Science & Technology, Mathura on 23rd April, 2022.
  • Delivered an expert talk on “Cyber Security” at Ministry of Small & Medium Enterprise MSME-PPDC, Agra on 06thApril, 2022.
  • Conducted workshop on “AI in Healthcare” at AbyM Technologies, Noida on 24th April, 2022.
  • Delivered a session as a Guest Speaker on Topic “Introduction to Cyber Security” on 11th February, 2022 at R.B. Gautam Group Of Colleges.
  • Delivered a guest lecture as a Speaker on Topic “Introduction to Computer Applications” on 20th September, 2021 at R.B. Gautam Group Of Colleges.
  • Delivered Guest Lecture on “Cyber Security” at Hindustan College of Science & Technology, Mathura on 23th March, 2021.

Research

Publications: Research Papers Published (Journal/Conference details with year)

1. Piyush Jain, Deepak Motwani, Pankaj Sharma, “RetinaGlauco: Multi-Model Deep Feature Fusion for Automated Glaucoma Classification in Retinal Fundus Images”, International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA), June 2026.
2. Prachi Saraswat, Pankaj Sharma, “Robust Image Pre-Processing Pipeline for Deepfake Detection using Deep Learning Techniques”, 5th International Conference on Advanced Computing and Intelligent Technologies, March 2026.
3. Vyom Kulshreshtha, Deepak Motwani, Pankaj Sharma, “Optimized Multi-Task Evolutionary Artificial Neural Network Fostered Crypto-Ransomware Prevention in File-Sharing Scenarios with Encrypted Traffic”, Engineering, Technology and Applied Science Research, Vol 15, Issue 6, pp 30663-30668, December 2025. https://doi.org/10.48084/etasr.11023
4. Vyom Kulshreshtha, Deepak Motwani, Pankaj Sharma, “Enhancing Ransomware Detection Accuracy through Data-Driven Incremental Machine Learning Models for Predictive Analysis”, 2nd International Conference on Multidisciplinary Research and Innovations in Engineering (MRIE-2025), pp. 727-732, July 2025. DOI: 10.1109/MRIE66930.2025.11156558
5. Vyom Kulshreshtha, Deepak Motwani, Pankaj Sharma, “Multiple Feature-Based Recurrent Neural Network for Highly Accurate Ransomware Detection in Android Devices", Fusion: Practice and Applications, Vol. 19, Issue 1, pp  75-83, 2025 Doi: https://doi.org/10.54216/FPA.190107
6. Himanshu Sharma, Javed Wasim, Pankaj Sharma, ”An Efficient System for Identifcation of Eye Disease in Fundus Images using a Deep Transfer Learning--based Pre-trained Model”, Engineering, Technology & Applied Science Research, Vol 14, No.5, pp 17398-17404, 2024 DOI: 10.48084/etasr.8408
7. Himanshu Sharma, Javed Wasim, Pankaj Sharma, “A Newly Developed Deep Learning-Based Xception Model for Classification and Detection of Eye Disease Using Fundus Images”, International Journal of Intelligent Systems and Applications in Engineering, Vol 12 (4), pp 3664-3675, May 2024.
8. Himanshu Sharma, Javed Wasim, Pankaj Sharma, “Analysis of Eye Disease classification by Fundus Images using Different Machine/Deep/Transfer Learning Techniques”, 4th International Conference on Innovative Practices in Technology and Management (ICIPTM). February 21st-23rd, 2024. DOI: 10.1109/ICIPTM59628.2024
9. Vyom Kulshreshtha, Deepak Motwani, Pankaj Sharma, “An Efficient Crypto Based Ransomware Prevention Method in Android Platform", IEEE World Conference on Applied Intelligence and Computing (AIC2024), July 27th-28th, 2024. pp. 1322-1330.  doi: 10.1109/AIC61668.2024.10730872.

10. Pankaj Sharma, Jay Shankar Prasad, Shaheen, Shaik Khaleel Ahamed, “An efficient Cyber Threat Prediction using a Novel Artificial Intelligence Technique”, Multimedia Tools and Applications, 2024. https://doi.org/10.1007/s11042-024-18169-0
11. Piyush Jain, Deepak Motwani, Pankaj Sharma, “Identification of DR (Diabetic Retinopathy) from Messidor-2 Dataset Images using various Deep and Machine Learning Techniques: A Comparative Analysis”. International Conference on Computation of Artificial Intelligence & Machine Learning, January 18th-19th, 2024.
12. Piyush Jain, Deepak Motwani, Pankaj Sharma, “A comparative analysis of early identification of Diabetic Retinopathy from Fundus images using different Machine and Deep Learning approaches”, National Conference on National Edge Computing Summit: Revolutionising Connectivity and Computing-2023”, December 20th-21st, 2023.
13. Piyush Jain, Deepak Motwani, Pankaj Sharma, “A Fusion-based Hybrid Model for Diabetes Retinopathy Classification from Fundus Images”, International Conference on Artificial Intelligence & Robotics in Life Science (ICAR-2023). November 24th and 25th, 2023.
14. Vyom Kulshreshtha, Deepak Motwani, Pankaj Sharma, “A study of Crypto-ransomware using Detection Techniques for Defence Research”, 3rd Congress on Intelligent Systems (CIS-2022), organized by CHRIST University, Bengaluru, 2022.https://doi.org/10.1007/978-981-19-9379-4_11
15. R. B. Vallabhaneni, Pankaj Sharma et al., "Deep Learning Algorithms in EEGSignal Decoding Application: A Review," in IEEE Access, vol. 9, pp. 125778-125786,2021,doi:10.1109/ACCESS.2021.3105917.
16. Rohan Singh and Pankaj Sharma, "An Overview of Social Media and Sentiment Analysis",5th International Conference on Information Systems and Computer Networks (ISCON), 2021, pp.1-4, doi:10.1109/ISCON52037.2021.9702359.
17. Rohan Singh and Pankaj Sharma, “Sentiment analysis using Microsoft Azure Machine learning and Python”, IJERT, Vol-10, Issue 11, November 2021.
18. Neha Tomar, Vyom Kulshreshtha, Dr. Pankaj Sharma, “Segmentation of Medical Images Using Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering”, IJCA, Vol-178, No. 13, May 2019.
19. Sushma Kumari, Vyom Kulshreshtha, Dr. Pankaj Sharma, “A Deep Learning Approach Based Plant Leaf Disease Detection Using Soft Computing Techniques”, IJARSET, Vol-6, Issue 2, February 2019.
20. Kalpna Suman, Vyom Kulshreshtha, Dr. Pankaj Sharma, “Smart Crawler: Two stage crawler for Efficiently Harvesting Deep Web”, IJARSET, Vol-6, Issue 2, February 2019.
21. Deeksha Verma, Dr. Pankaj Sharma, “Vision based computer mouse controlling using hand gestures”, IJESRT, June 2018.
22. Shubham Sharma, Vyom Kulshreshtha & Dr. Pankaj Sharma, “An enhanced MRF model for arbitrary shaped occluded objects segmentation”, IJESC, April 2018.
23. Archana Devee, Dr. Pankaj Sharma, “Automatic Face Detection using VIOLA-Jones for security purpose”, IJESC, April 2018.
24. Richa Kulshreshtha, Dr. Pankaj Sharma, “Image Encryption based on Total Shuffling Matrix and Chotic Gausss Iterative Map”,IJATEE, March 2018.
25. Deepak Agrawal, Dr. Pankaj Sharma and Vyom Kulshreshtha, “Brain Tumor Detection using K-means clustering and Threshold Segmentation”- IJARSET, March 2018.
26. Bhavna Sharma, Dr. Pankaj Sharma, and Vyom Kulshreshtha, “Study of Wavelets using Chaotic map on DWT based blind video watermarking”, IJATEE, December 2017.
27. Prashant Kumar Sharma, Dr. Pankaj Sharma, “Wireless Network Analysis using Hypernetwork Formulation and Energy Conservation for Internet of Things”.
28. Akanksha Dixit, Pankaj Sharma and Vyom Kulshreshtha, “Blind Video Watermarking based on DWT-SHUR and Optimized Firefly Algorithm”, IJCA, PP 30-6, vol. 147 (1), August 2016.
29. Archana Tiwari, Pankaj Sharma, “Side View Face Authentication Using DWT and Neural Network”, IJCADR, May 2016.
30. Pankaj Sharma & Dr. S.K. Gupta, “A Fuzzy Approach to Handwritten Devnagari Script up to Five Characters Recognition”, IJCA, vol. 120 (11), June 2015.
31. Pankaj Sharma & S.K. Gupta, “Segmentation and recognition of Handwritten Devnagari Characters using Neural Networks“, IJICC, International Journal of Interactive Computer Communication. December 2013.
32. Pankaj Sharma & S.K. Gupta,“A Research Survey on OCR Technologies used for Indian scripts”, IJICC, International Journal of Interactive Computer Communication. November 2012.
33. Pankaj Sharma, Pradeep Kr. Sharma & Vishal Sharma, “Performance Analysis of On-Demand Routing Protocols in MANETs”, International conference on data management ICDM-2011, held at IMT, Ghaziabad.
34. Pankaj Sharma, Pradeep Kr. Sharma, Vishal Sharma & Kshitiz Agrawal, “Performance & Analysis of 3G KPI GSM Network” VCAN-2011, an International conference held at IET, Alwar.
35. Pankaj Sharma, Sudeept Yadav & Nitin Rawat, “MANETs: Enhancing Performance for Stability & Security”, NCNS-2011, National Conference on Communication, Network & Security, held at IET, Alwar on 26th-27th February, 2011.
36. Krishna Vir Singh, Pankaj Sharma, Deepak Kr. Singh, Harivans P. Singh, “A Novel Algorithm for finding Non-Dominated Set in Multi Objective Optimization” at AIA-2009, A National Level Research Conference on Artificial Intelligence, held at RBS College, Agra.

Patents
1. • Patent Title: Smart Integrated Healthcare and Home Automation Computing Device with Predictive AI Capabilities
• Patent Number/Status: Design no. 6505778/Granted
• Year: 2026

2. • Patent Title: Automated Pest Controller for Smart Agriculture
• Patent Number/Status: 473468-001/Granted
• Year: 2026

3. • Patent Title: AI BASED PROJECTOR CUM SPEAKER
• Patent Number/Status: 420257-001
• Year: 2024

Certifications

  • AI for Everyone
  • Malware Analysis

Area of Interest

Machine Learning, Neural Networks, Cyber Security, Computer Networks, Computer Architecture & Organization, Doctoral & Masters thesis supervision, Student mentorship