Faculty

Core Research Domains:

• Machine Learning
• Data Science
• Deep Learning and Neural Networks
• Quantum Computing

Research Focus:

• Domain: Finance
• Technology: Machine Learning

Journals and Conferences:

• Shankarlingam G, Reddy KT. (2023) Predicting a Small Cap Company Stock Price using Python with Best Accuracy Rate: How the Data Science Working for Predictions and Accuracy Rate. Indian Journal of Science and Technology. 16(48): 4620-4623. https://doi.org/10.17485/IJST/v16i48.2793
• Predicting Stock Price Using Python with Best Accuracy Rate: How the Data Science and Machine Learning Working for Predictions and Accuracy Rate, IJTE, ISSN: 0971-3034.
• Reddy KT, Vannala S, Vardhan KV. Modeling and visualization of corn-based ethanol fermentation using stoichiometric and kinetic simulation. Energy Intelligence and Sustainability. 2025;1(1):37-45. DOI : 10.19101/EIS.2025.11002
• K Thirupathi Reddy, Srujan Vannala, K Vishnuvardhan. A Real time Drone Detection System for Airspace Security in India using YOLOv8 and Deep Learning. J. Contemp. Politics 2026;5(1):5-13. https://doi.org/10.53989/jcp.v5i1.25.112
• Multi-Scale CNN-Based Early Detection of Lung Nodules from LowbDose CT Scans, 16 / Issue 94 / Feb / 2026 International Bimonthly (Print) – Open Access ISSN: 0976 – 0997.
• Analyze and Prediction of Stock Price using LSTM Algorithm of Machine Learning, Vol.15 / Issue 87 / Dec / 2024 International Bimonthly (Print) – Open Access ISSN: 0976 – 0997.
• The Behavioural Study of Stocks and LSTM Algorithm,
  Thirupathi, G. Shankar Lingam, Eliva Press, ISBN: 9999323545.
• How the Data Science and Machine Learning Revolutionizing the Agriculture (Page No: 77), G. Shankar Lingam, K. Thirupathi, New Delhi Publications, ISBN: 9788196887049.
• Kandadi, Thirupathi and Shankarlingam, G., DRAWBACKS OF LSTM ALGORITHM: A CASE STUDY (January 01, 2025). Available at SSRN: https://ssrn.com/abstract=5080605or http://dx.doi.org/10.2139/ssrn.5080605
• Kandadi Thirupathi Reddy. A FRAMEWORK TO PREDICTING STARTUP SUCCESS GROWTH WITH MULTIPLE ALGORITHMS. TechRxiv. 25 September 2025.
  DOI: https://doi.org/10.36227/techrxiv.175751434.42657764/v2
• Kandadi Thirupathi Reddy. EXPLAINABLE DEEP LEARNING FOR AUTOMATED PNEUMONIA DETECTION FROM CHEST X-RAY IMAGES USING MOBILENETV2 AND GRAD-CAM CNN. TechRxiv. 21 October 2025.
  DOI: https://doi.org/10.36227/techrxiv.176108165.56312001/v1
• kandadi thirupathi reddy, vannala srujan. Machine Learning-based Breast Cancer Classification Using Logistic Regression and Random Forest, 23 September 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-7638704/v1]
• A Streamlit-powered System for Simulating and Visualizing Qubit States, 11 September 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-7579530/v1]
• Kandadi Thirupathi Reddy. A STUDY ON BRAIN TUMOR TECHNOLOGY USING MACHINE LEARNING WITH FEWER IMAGES ON TRAINING WITH HIGH ACCURACY. Authorea. 03 December 2025.
  DOI: https://doi.org/10.22541/au.176478088.86005575/v1
• Kandadi Thirupathi. MULTI-SCALE CNN-BASED EARLY DETECTION OF LUNG NODULES FROM LOW-DOSE CT SCANS. ScienceOpen Preprints.  DOI: 10.14293/PR2199.002511.v1
• Reddy, Thirupathi. (2025). A Survey of Large Language Models: Architectures, Training, and Applications. 10.13140/RG.2.2.27853.09444.

Certified Courses:

• Co-convener of  ICCISD 2022 & 2023(International Conference on Computational Intelligence and Sustainable Development) of CDU(Chaitanya Deemed to be University) Currently reviewing articles in Web of Science through openre view

 FDPs & Workshops Attended:

• Attended FDP on AI and ML for Intelligent Applications Using Python and MATLAB conducted by ABES Engineering College, Ghaziabad between 21/02/2022 – 25/02/2022.
• Attended FDP on Quantum Computing conducted by GITAM University, Bengaluru between 04/01/2021 – 08/01/2021.
• Attended FDP on Lab on Chip conducted by Defence Institute of Advanced Technology (DU) between 14/12/2020 – 18/12/2020.
• Attended FDP on Exploring Immersive Realities of AR and VR conducted by Vaagdevi Engineering College between 20/11/2023 – 25/11/2023.