NARESH KUMAR PEGADA

1. Post-Doctoral Fellowship (PDF) in Artificial Intelligence– S.R. University, Warangal, Telangana, Dec, 2025–till date.

2. Ph.D. in Computer Science and Engineering – J.S. University, Shikohabad, Uttar Pradesh, Apr, 2022 – Nov, 2025.

3. M.Tech. in Software Engineering – Mother Teresa Institute of Science and Technology, Sathupalli, JNTU Hyderabad, Sep, 2009 – Dec, 2011.

4. B.Tech. in Computer Science and Engineering – Nagarjuna Institute of Technology and Science, Miryalaguda, JNTU Hyderabad, Sep, 2003 – May, 20

07.

International Journal Publications:

1. D. Vetrithangam, Dr. Subba Reddy, Naresh Kumar Pegada, Dr. B. Arunadevi, Dr. M. Pompapathi, Amar Choudhary, Ashok Bekkanti, "DeepSegNet: An Innovative Framework for Accurate Blood Cell Image Segmentation", 2024, Published in “International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC)”, (Scopus Indexed)

DOI: https://doi.org/10.17762/ijritcc.v11i9.8987 

Link: https://ijritcc.org/index.php/ijritcc/article/view/8987 

2. D. Vetrithangam, R. Himabindu, S. Saranya, Neha, Naresh Kumar Pegada, Azra Fathima, Ashok Bekkanti, Akanksha Kulkarni, "Improved ResNet Models for Chronic Kidney Disease Prediction", 2024, Published in Journal of Electrical Systems (Scopus Indexed). 

DOI: https://doi.org/10.52783/jes.1121

Link: https://journal.esrgroups.org/jes/article/view/1121/1153

3. D. VETRITHANGAM, P.SHRUTI, B. ARUNADEVI, R. HIMABINDU, P. NARESH KUMAR, A. RAMESH KUMAR, "Optimum Feature Selection based Breast Cancer Prediction using Modified Logistic Regression Model", 2023, Published in Journal of Theoretical and Applied Information Technology (JATIT), (Scopus Indexed)

Link: http://www.jatit.org/volumes/Vol101No8/1Vol101No8.pdf 

4. P. Naresh Kumar, N. Soujanya, G. Yugandhar, K. Nageswara Rao, “The Image Level Tainting: A New Approach For Preventing SQL Injection Attacks”, 2011, International Journal of Engineering Science and Technology (IJEST), UGC Journal.

International Conference Papers/Presentations:

1. Naresh Kumar Pegada, Vetrithangam, Azra Fathima, Arunadevi, “A Survey on various Image Analysis Techniques”, 2022, Published in AIP Proceedings, (Scopus Indexed).

DOI: https://doi.org/10.1063/5.0108909

2. D. Vetrithangam, PM. Ebin, P. Nareshkumar, B. Arunadevi, Azra Fathima, A. Ramesh Kumar, "Enhanced Vgg-19 Model for Accurate Brain Tumor Prediction", 2023, Published in NMITCON and IEEE (Scopus Indexed).

DOI: https://doi.org/10.1109/NMITCON58196.2023.10276235 

IEEE Link: https://ieeexplore.ieee.org/document/10276235 

3. D. Vetrithangam, Naresh Kumar Pegada, R. Himabindu, A. Ramesh Kumar, "A state-of-the-art review on image analysis techniques, datasets and applications", 2024, AIP Conference Proceedings, (Scopus Indexed),

DOI: https://doi.org/10.1063/5.0198675 

Book Chapters/Books:

1. D. Vetrithangam, Naresh Kumar Pegada, R. Himabindu, A. Ramesh Kumar, "State-of-the-Art Review on the models, techniques and datasets to diagnose COVID-19 diseases, 2023, Published in IGI Global (Scopus Indexed)

DOI: https://doi.org/10.4018/978-1-6684-6519-6.ch014  

Link: https://www.igi-global.com/gateway/chapter/321496  

2. J. Praveenchandar, D. Vetrithangam, S. Kaliappan, M. Karthick, Naresh Kumar Pegada, Pravin P. Patil, S. Govinda Rao, Syed Umar, "IoT-based Harmful Toxic Gases Monitoring and Fault Detection on the Sensor Dataset Using Deep Learning Techniques", 2022, Published in Scientific Programming (SCI and Scopus Indexed), 

DOI: https://doi.org/10.1155/2022/7516328 

Patents:

1. “Automated Diet and Exercise Recommendation System Based on Personalized Health Data using Deep Learning”, (Patent ID: 202211021061), Indian Patent, Published in 2022.
2. “Machine Learning Based Products Classification and Prediction in Departmental Stores”, (Patent ID: 202111059216), Indian Patent, Published in 2021. 
3. “Smart Wearable Device to Monitor Fetal Health During Third Trimester for Pregnant Woman”, (Patent ID: 202111061150), Indian Patent, Published in 2021.
4. “Automated IoT-Based Smart Harmful Toxic Gases and Environment Monitoring System Using AI&ML”, (Patent ID: 202111040150), Indian Patent, Published in 2021.
5. “Cloud IoT-Based Monitoring and Detection of Potholes in Roads and Dangerous in Living Area”, (Patent ID: 202111051858), Indian Patent, Published in 2021

1. Served as Head of the Department (HoD), CSE (AI & ML) at Keshav Memorial Engineering College (KMEC), from September, 2024 to May, 2026.

2. Represented KMEC on the Board of Studies (BoS), Osmania University, as Head of the Department from 2024 to 2026.

3. Served as a Member of the Internal Board of Studies (BoS) Committee and contributed to the design and development of the Autonomous Curriculum.

4. Contributed to NBA, NAAC, and Autonomous Accreditation processes and SAR documentation.

5. Served as a Mentor for Project School at KMEC and NGIT.

6. Served as Institution-Level Coordinator for Academic Administration, IQAC, Project Quality, Program Assessment, and Training & Placement activities.

7. Served as a Member of the MHRD Innovation Cell (Startups), Examination Branch, and Discipline Committee.

8. Served as a Member of the Departmental Pedagogical Teaching and Learning Activities Committee.

9. Served as Single Point of Contact (SPOC) for NPTEL Course.

10. Initiated and served as a Member of the Data Science and AIDIA (Artificial Intelligence Digital Innovators Alliance) Clubs.

11. Worked as an Oracle Database Administrator (Oracle DBA), responsible for database administration, performance monitoring, backup and recovery, security, and overall database management.

Enhancing the Level of Accuracy for Hand-Written Text Recognition in Optical Character Recognition using Advanced Pre-processing Techniques

Doing Research on more advanced approaches for achieving higher accuracy.