Faculty

Core Research Domains:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Computer Vision
• Medical Image Analysis
• Cyber Security
• Cloud Computing
• Optimization Techniques

Research Focus:

• 20 Publications
• IEEE Xplore: 3
• Springer: 3
• AIP Conference Proceedings: 2
• International Journals: 12
• 3 Patents
• 2 Books
• 1 Book Chapter (CRC Press)

Journals and Conferences:

• Enhancing Cybersecurity of IT Infrastructure Through Robust Generative AI, BKVS M. L. Kumar, J. V. Rao, V. Chintamaneni, L. Paulin. Published in 2025 IEEE 1st International Conference on Smart Innovations in Systems and Technologies (SIST 2025), IEEE Xplore Digital Library, 2026.
• Comparative Study of Computational Modeling and AI-Driven Frameworks for Evaluating Soil Organic Carbon in Agricultural Systems, R. Mahesh, S. Jamalaiah, V. Srinivas. Published in 2026 Second International Conference on Multi-Agent Systems for Sustainable Development (MASSD 2026), IEEE Xplore Digital Library, 2026.
• An Explainable and Imbalance-Aware Machine Learning Approach for Classifying Sleep Disorders Using Lifestyle Data, V. Srinivas, S. Akshaya. Published in 2026 Second International Conference on Multi-Agent Systems for Sustainable Development (MASSD 2026), IEEE Xplore Digital Library, 2026.
• Developing Predictive Models for Wildfires by Utilizing a Novel Dataset with Advanced Machine Learning Techniques, M. Lenin Kumar, P. Pavan Kumar, Vadali Srinivas, J. S. Adeline Johnsana, P. Preethi. AIP Conference Proceedings, Vol. 3325, 2025.
• Real-Time Object Recognition Using Deep Learning with TensorFlow, M. Lenin Kumar, P. Pavan Kumar, Vadali Srinivas, R. Sugumar, P. Preethi. AIP Conference Proceedings, Vol. 3325, 2025.
• G., M. Khaja, S. P., A. Srinivas, V. Premalatha, M. R., S. “Strategic Decision-Making Enhancement Framework (SDE-Framework): Leveraging Neutrosophic Logic and Fuzzy Mathematics for Optimized Outcomes in IT Management and Computational Systems,” International Journal of Neutrosophic Science, pp. 179-189, 2024. DOI: 10.54216/IJNS.240316.
• Multi-Scale Attention FocusNet: A Precise Image Segmentation and Classification Approach for Advancing Liver Lesion Analysis, Srinivas Vadali, G.V.S.R. Deekshitulu, J.V.R. Murthy. Solid State Technology, Vol. 66, Issue 1, 2023.
• Severity Analysis of Liver Lesions Using Enhanced SqueezeNet-Based Feature Extraction with Unsupervised Learning Model, Srinivas Vadali, G.V.S.R. Deekshitulu, J.V.R. Murthy. Solid State Technology, Vol. 66, Issue 1, 2023.
• Chameleon-Inspired Evolutionary Optimization Enhanced with Deep Learning for Improved Lung Cancer Classification, Srinivas Vadali, G.V.S.R. Deekshitulu, J.V.R. Murthy. Solid State Technology, Vol. 66, Issue 1, 2023.
• Srinivas Vadali, G.V.S.R. Deekshitulu, and J.V.R. Murthy, “Overview on Cache Transition Techniques for Semantic Graph Parsing for Optimizing Search Process Using Text Mining,” IJAIR, Volume-8, Issue-3, ISSN: 2278-7844, 2019.
• Srinivas Vadali, G.V.S.R. Deekshitulu, and J.V.R. Murthy, “Analysis and Optimization of Data Classification Using K-Means Clustering and Affinity Propagation Technique,” IJAIEM, Volume-8, Issue-4, ISSN: 2319-4847, 2019.
• “Machine Learning Approach for Identification of Peer Quality Factors among Sportsman,” International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878 (Online), Volume-8, Issue-1, May 2019, pp. 243-246.
• Survey on Different Frugal File System for Cloud Backed Services, V. Srinivas, Karri Ashajyothi. Published in International Journal of Research (IJR), Volume 8, Issue 6, pp. 7013-7042, 2019.
• Srinivas Vadali, G.V.S.R. Deekshitulu, and J.V.R. Murthy, “Optimization of Hyperspectral Images and Performance Evaluation Using Effective Loss Algorithm,” Proceedings of Fifth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Singapore, 2016.
• Srinivas Vadali, G.V.S.R. Deekshitulu, and J.V.R. Murthy, “Bi-level Problem and SMD Assessment Delinquent for Single Impartial Bi-level Optimization,” Proceedings of Sixth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Singapore, 2017.
• Srinivas Vadali, G.V.S.R. Deekshitulu, and J.V.R. Murthy, “Analysis of Liver Cancer Using Data Mining SVM Algorithm in MATLAB,” Springer, Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing. DOI: 10.1007/978-981-13-1592-3_12.
• “Repairing Corrupted Block of Data Owner Files in Cloud,” International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), ISSN: 0976-1353, Volume 24, Issue 8, May 2017.
• “A Grid Resource Broker Based Approach for the Integration of Wireless Sensor Networks (WSN) with Grid for Healthcare Applications,” IOSR Journal of Computer Engineering (IOSRJCE), ISSN: 2278-0661, Volume 2, Issue 4, July-August 2012, pp. 05-11.
• “Diet Expert Advisory System,” International Journal of Computer Applications in Engineering, Technology and Sciences (IJ-CA-ETS), ISSN: 0974-3596, Volume 3, Issue 2, April 2011-September 2011.
• “Jaggery Marketing Expert System Using Decision Tree,” International Journal of Advanced Computer and Mathematical Sciences, ISSN: 2230-9624, Vol. 1, Issue 1, December 2010.

Patents

• Regenerative Farming Carbon Flux Modeling via Physics-Informed Learning. Application No.: 202641000670. Date of Filing: 04 January 2026. Publication Date: 16 January 2026. Applicant: SR University, Warangal, Telangana, India. Inventors: Rangana Mahesh, Dr. S. Jamalaiah, Dr. Vadali Srinivas.
• Application Number: 436747-001, CBR Number: 220542, CBR Date: 08/11/2024 9:14:32. Applicants: Mr. V. Srinivas, Dr. B. Ravikrishna, T. Sai Lalith Prasad, Ch. Naresh, N. Mahesh, Mr. M. Vijaya Kanth, Dr. Chukka Santhaiah, K.V. Siva Prasad Reddy.
• Patent: “Discover the Labels from Multivariate Liver Cancer Using QE-MICA, TLA, and ARM-CNN Algorithms.” Patent Number: IN202341046130. Filing Date: July 10, 2023. Publication Date: September 22, 2023. Co-Inventors: Dr. G. Rajavikram, Dr. Vadali Srinivas, and Dr. M. Lenin Kumar.

Book Chapter

• Intelligent Transport System in Smart Cities: Aspects and Challenges of Vehicular Networks and Cloud Computing. Authors: Shaik Khaja Mohiddin, Shaik Sharmila, Vadali Srinivas. Book: Energy Efficient Vehicles, pp. 173-185. Publisher: CRC Press, 2024.

Books Authored

• Lenin Kumar, M., Vadali Srinivas, & Gudisela Ravi Kanth (2026). Artificial Intelligence and Machine Learning in Real-world Applications. Publisher: Pencil Bitz. ISBN: 978-93-89911-13-8.
• Venkat Sanka, Kadupukotla Satish Kumar, Vadali Srinivas, & Bagadi Visalakshi (2025). The Economics of Software Engineering: Guiding Principles for a Balanced Career. Publisher: Notion Press. ISBN-13: 979-802078562.

Certificate Course

• Certificate in Data Science & Generative AI (LLMs) –
  Successfully completed the Six-Month Online Certificate Course in Data Science and Generative AI (LLMs) offered by JNTUH – Directorate of Innovative Learning and Teaching (DILT), securing 93% (First Division with Distinction) and earning 15 academic credits. The course covered Python Programming, Machine Learning, Deep Learning, Generative AI, Large Language Models, and a capstone project.

Academic Leadership & Administration

• HOD and Department Administration
• Placement Coordination and Industry Interaction
• Academic Coordination
• NBA/NAAC Documentation
• Faculty Mentoring
• Student Project Guidance
• Workshop/FDP Organization
• NPTEL/SWAYAM Promotion

Certifications & Memberships

• NPTEL Certifications
• SWAYAM Certifications
• Cisco CCNA
• Microsoft Office Specialist
• Dale Carnegie High Impact Teaching Skills
• Wipro Mission10X
• Computer Society of India
• IACSIT Member

Awards & Achievements

Recognized for academic leadership, research contributions, quality teaching, international exposure and faculty development initiatives.