Dr. Rithesh Pakkala P.

Areas of Interest

• Data Analytics, Data Science, AI & ML, Deep Learning

Ph.D. SUPERVISION

Awards / Grants

No awards or grants details available.

Journal

• Thejaswi RA, Pakkala PGR, Rai BS, Shetty S, Rao PV, Rai S. Blockchain Enabled Decentralized Application for Securing Electronic Medical Records with Smart Contracts. Int J Drug Deliv Technol. 2026; 16(6):825-835. (SCOPUS Indexed - Q3)
• Thejaswi RA, Rai BS, Pakkala PGR, Shetty S, Rao PV, Rai S. Blockchain-Based Secure and Transparent Vaccine Delivery using Smart Contract Framework. Int J Drug Deliv Technol. 2026; 16(6):836-847. (SCOPUS Indexed - Q3)
• Rai, S., Pakkala, P. G. R., Shetty, S., & Naveen, S. N. (2026). Transformer Augmented Deep Reinforcement Learning for Fault Tolerant Autonomous Navigation in Aerospace Robotics. International Journal of Aquatic Research and Environmental Studies, 6(S4), 1176-1183.(SCOPUS Indexed - Q2)
• Akhila Thejaswi, R., Rai, B. S., & Pakkala, P. G. R. (2025). Graph data science-driven framework to aid auditory and speech impaired individuals by accelerating sign image analysis and knowledge relegation through deep learning technique. International Journal of System Assurance Engineering and Management, 16(1), 175-198. (SCOPUS Indexed - Q2)
• Pakkala, P. G. R., & Rai, B. S. (2024). System Modeling for Prognostic Reasoning and Insight Exploration of Arecanut Crop Using Data Analytics and Formal Statistical Approach. Wireless Personal Communications, 136(4), 2495-2520. (SCIE Indexed - Q1)
• Pakkala, P. G. R., Akhila Thejaswi, R., Rai, B. S., & Nagesh, H. R. (2024). Road safety analysis framework based on vehicle vibrations and sounds using deep learning techniques. International Journal of System Assurance Engineering and Management, 15(3), 1086-1097. (SCOPUS Indexed - Q2)
• Rai, P., Rai, B. S., Pakkala, P. G., & Thejaswi, R. A. (2024). Forecasting business status of organizations by analyzing historic earnings call transcripts with the aid of text refinement framework. Indian Journal of Science and Technology, 17(24), 2469-2477. (WoS Indexed)
• Pakkala PGR, Rai BS, Rai P. (2023) Statistical Driven Feature Selection for Prognostic Reasoning and Insight Exploration of Areca Nut Crop using Data Analytics Approach. Indian Journal of Science and Technology. 16(20): 1495-1504. (WoS Indexed)
• PermankiGuthu, R. P., Bellipady, S. R., Rai, S., & Rai, T. (2023). Early knowledge-driven prognostic reasoning model using effective data analytics approach. International Journal of Medical Engineering and Informatics, 15(4), 389-401. (SCOPUS Indexed - Q2)
• Guthu, R. P. P., & Bellipady, S. R. (2022). A formal statistical data modeling for knowledge discovery and prognostic reasoning of arecanut crop using data analytics. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-27. (WoS ESCI Indexed)
• Srinidhi Rai, Shamantha Rai B, Rithesh Pakkala P. Heterologous Prime-boost Approach for COVID -19 Vaccine - A Light at the End of the Tunnel?. PharmacologyOnLine. 2021, vol.3, 471-483. (SCOPUS Indexed - Q4).
• Rai S, Rai T, H. S, Rai B. S, Pakkala P. R. Covid vaccine dilemma curbing the herd immunity in India-Jab or no jab?. Biomedicine: 2021; 41(4): 706-713.(SCOPUS Indexed - Q4).
• Rai S, Sindhu, Prajna, Rai BS, Pakkala PR. The Potential Role of Vitamin B12 in the Prevention of COVID-19 Complications: A Narrative Review. J Pure Appl Microbiol. Volume 15, Issue 4, December 2021, Pages 1735-1744.(SCOPUS Indexed - Q4)
• Rai, S., Rai, T., Sindhu, Rai, B. S., Pakkala, P. R., Mathur, N., Sujith, N., & Orru, G. (2021). A Formal Analysis of Anthropometric Parameters for Effective Forecasting of Dyslipidemia in Healthy Young Adults. Journal of Pharmaceutical Research International, 33(44A), 308-319. (WoS ESCI Indexed)
• Rithesh Pakkala P., Akhila Thejaswi R. "Agricultural Data Modeling and Yield Forecasting using Data Mining Techniques" in International Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395-0056, Volume: 06, Issue: 09, pg. 448-452, September - 2019.
• Rithesh Pakkala P, Ravi Yadav, Pooja B, Rahin Shama, Vaishak Chandra K S. "Hypocrisy Detection in E-Transaction using Distributed Data Mining Technique" in International Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395-0056, Volume: 05, Issue: 05, pg. 3230-3234, May- 2018.
• Rithesh Pakkala P., Ahana Veeksha Rai B, Anusha Shetty, Deeksha K Rai, Namratha. "STaR System: Detecting Legitimate Information by Identifying and Prioritizing Prevalent News" in International Journal of Computer Science and Mobile Computing, ISSN: 2320-088X, Vol. 7, Issue.5, pg. 9-17, May- 2018.
• Suchetha G, Rithesh Pakkala P., Akhila Thejaswi R, Prakhyath Rai. "Ensuring Definite Coverage with Optimistic Data Diffusion in MANET" in International Journal of Computer Science and Mobile Computing, ISSN: 2320-088X, Vol.5, Issue.7, pg. 401-408, July- 2016.
• Shruthi Ramdas, Rithesh Pakkala P., Akhila Thejaswi R. “Determination and Classification of Interesting Visitors of Websites using Web Logs” in International Journal of Computer Science and Mobile Computing, ISSN 2320–088X, Vol.5, Issue.1, pg. 01-09, January- 2016.
• Rithesh Pakkala P., J.V.Gorabal. "Modeling of Empirical Approach to Ensure Secure and Efficient Data Forwarding in ADHOC Network" in International Journal of Computer Science and Mobile Computing, ISSN: 2320-088X, Volume 4, Issue 4, pg. 554-560, April 2015.
• Saritha, Rithesh Pakkala P. “Heightening the Performance Efficiency of Virtual Machines in Cloud Data Centres Using Dynamic Consolidation”, in International Journal of Engineering Research & Technology (IJERT), ISBN: 2278-0181, Volume 2, Issue 12, pg. 1666-1670, December 2013.

Conference

• Shetty, S., Pakkala, P. G. R., Rai, B. S., PV, V. R., Poojary, A., & Achar, G. (2026, February). Investilyze-Personalized Investment Advisor for Diverse Asset Classes. In 2026 International Conference on Artificial Intelligence and Data Engineering (AIDE) (pp. 75-80). IEEE.
• Thejaswi, R. A., Pakkala, P. G. R., Rai, B. S., Shetty, S., Rao, P. V., & Kulal, N. (2025, November). EchoSpeech: Enhancing Speech for Children with Autism and Language Disorder using Deep Learning. In 2025 Second International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 80-85). IEEE.
• Rao, P. V., Pakkala, P. G. R., Thejaswi, R. A., Rai, B. S., Shetty, S., & Bhaktha, M. (2025, November). AI Enhanced IELTS Preparation using Custom Neural Networks. In 2025 Second International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 313-318). IEEE.
• Thejaswi, R. A., Pakkala, P. G. R., Rai, B. S., Shetty, S., Raghurama, S. R., & Shetty, N. P. (2025, November). Smart Wearable Device for Enhanced Mobility and Safety of the Visually Impaired Person. In 2025 Second International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 86-91). IEEE.
• Pakkala, P. G. R., Thejaswi, R. A., Rai, B. S., Shetty, S., Rao, P. V., & Upadhyaya, S. (2025, November). Visionary Code: An AI-Driven Platform for Blind and Visually Impaired Programmers. In 2025 Second International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 73-79). IEEE.
• PV, V. R., Pakkala, P. G. R., Shetty, S., Naik, K., Shetty, S. S., & Shetty, S. S. (2024, November). Cotton Pest Trap Using Machine Learning Models. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 1-6). IEEE.
• Pakkala, P. G. R., Shetty, S., PV, V. R., HR, N., Rai, B. S., & Rai, P. (2024, November). Road Surface Analysis Through Prognostic Model Using Image Processing and Deep Learning Techniques. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 183-188). IEEE.
• PV, V. R., Pakkala, P. G. R., Shetty, S., Bhat, A., Abbas, U., Adhikari, A., ... & Nayak, V. (2024, November). Early Detection of Diabetic Retinopathy and Glaucoma Using Machine Learning. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 251-256). IEEE.
• Pakkala, P. G. R., Shetty, S., PV, V. R., Abbas, V., Shetty, V., & Raghurama, S. R. (2024, November). An Intelligent Framework for Early Detection of Brain Haemorrhage Using Graph Neural Network. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 189-194). IEEE.
• Pakkala, P. G. R., Rai, B. S., Rai, P., Shetty, C. P., Vaishnavi, R., & MG, A. (2024, October). Data-Driven Beauty: Unleashing the Power of Deep Learning in Skincare. In 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 7-13). IEEE.
• Rai, B. S., Pakkala, P. G. R., Bhat, N., Poojary, N. V., Gangoli, S. N., & Shrikanth, S. (2023, October). Detection and Localization of Lung Nodules by Accelerating Multi-dimensional Images using Graph Data Science. In 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 213-218). IEEE.
• Rai, B. S., Pakkala, P. G. R., Alva, P. P., & NV, V. (2023, October). Intelligent Framework for Auditory and Speech Impaired Individuals by Accelerating Sign Image Analysis using Graph Data Science. In 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 13-18). IEEE.
• Rai, B. S., Pakkala, P. G. R., & Desai, K. (2023, October). Intelligent framework for early prediction of type–II diabetes by accelerating palm print images using graph data science. In 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 207-212). IEEE.
• Pakkala, P. R., & Rai, B. S. (2022, October). A Prognostic Reasoning Model for Improving Areacanut Crop Productivity using Data Analytics Approach. In 2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 1-6). IEEE.

Book / Book Chapter

• Title of the Book Authored 1: Stochastic Minds: Math, Models, and the Beautiful Chaos of Getting It Almost Right
• Title of the Book Authored 2: The Fixed Point: How Metacognition Generates Thought and Builds the Self
• Title of the Book Authored 3: Stochastic Futures: Agents, AGI, and the Mathematics of Control
• Title of the Book Authored 4: The Cascade: A Network Science Autopsy of History’s Most Enigmatic Collapse
• Book Chapter 1 : Rai, B. S., & Pakkala, P. G. R. (2023). Intelligent Framework for Smart Health Application using Image Analysis and Knowledge Relegation Approach. In AIoT and Big Data Analytics for Smart Healthcare Applications (pp. 151-165). Bentham Science Publishers.
• Book Chapter 2 : Pakkala, R., Rai, P., & Bellipady, S. R. (2021). Impact of syntactical and statistical pattern recognition on prognostic reasoning. In Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security (pp. 38-55). IGI Global Scientific Publishing.

Indian

• E-CHALK HOLDER USING IOT AND DEEP LEARNING TECHNIQUE (202541068105)
• WEARABLE SEIZURE DETECTION DEVICE USING DEEP LEARNING (202541070320)
• GRAPH DATA SCIENCE-POWERED FRAMEWORK FOR COMMUNICATION TRANSFORMATION (202541068107)

International

No international patent details available.

Attended

• Participated & Completed successfully AICTE Training and Learning (ATAL) Academy Online Advanced FDP on "Data Science" from 27/12/2021 to 31/12/2021 at Indian Institute of Information Technology, Una.
• Completed the AICTE-ISTE Approved Orientation/Refresher Programme on “Computer Science and Engineering” held from 17.12.2021 to 23.12.2021 organized by Coorg Institute of Technology, Ponnampet, Kodagu, Karnataka.
• Completed the 5-days online FDP on the theme “Inculcating Universal Human Values in Technical Education” organized by the All India Council for Technical Education(AICTE) from 8 March 2021 to 12 March 2021.
• Participated in the program on “Basic Fire Safety” conducted by USHA Fire Safety Equipments Pvt. Ltd. on 16/01/2021 at Sahyadri College of Engineering and Management, Mangaluru.
• Completed AICTE Training And Learning (ATAL) Academy Online FDP on "Data Sciences" from 05-10-2020 to 09-10-2020 at University College of Engineering(A).
• Participated in two days workshop on “System Design in the Era of Internet of Things” by Prof. Joseph Sifakis - Turing Awardee, organized by Sahyadri College of Engineering and Management, Mangaluru held on 11th and 12th January 2018.
• Participated in three days "Orientation Course in Value Education" organized by Ramakrishna Institute of Moral and Spiritual Education, Mysuru from 29th - 31st March 2018.
• Participated in Seminar on “Intellectual Property Rights : Significance in Business and Research” at Sahyadri College of Engineering and Management, Mangaluru on Saturday, 6th October 2018.
• Participated in the two days workshop on “Outcome Based Education and Blooms Taxonomy” organized by Sahyadri College of Engineering and Management, Mangaluru held on 14th and 15th July 2017.
• Participated in the Workshop entitled “Intellectual Property Rights : Significance for Academia in Business & Research” at Sahyadri College of Engineering and Management, Mangaluru held on 22nd June 2015.

Organised

No FDP organised details available.