Associate Professor & Director, Centre of AI and Deep Learning
School of Computer Science and Artificial Intelligence
Koneru Lakshmaiah Education Foundation
17
Research
Machine Learning, Deep Learning, Medical Imaging
Mail: pramoda.patro@sru.edu.in
PhD in Machine Learning from K L University, Vijayawada
Mtech in Computer Science from Berhampur University
B. Sc from Berhampur University
Associate Professor at SR University, Warangal, Telangana, from 2024-06-27 to .
Associate Professor at KL University, Hyderabad, Telangana, from 2022-01-01 to 2024-06-25.
Assistant Professor at Amrutvahini College of Engineering, Sangamner, Maharshtra, from 2012-09-28 to 2021-12-30.
Assistant Professor at Sharad Chandra Pawar College of Engineering, Otur, Maharashtra, from 2012-03-22 to 2012-09-27.
Assistant Professor at Sanjay Memorial Institute of Technology, Berhampur, Odisha, from 2008-07-07 to 2012-03-20.
PG
UG
T. Gayathri, S. Uma Maheswari, S. Ponni Alias Sathya, T. Satyanarayana Murthy, and P. Patro, “Machine Learning-Enhanced DDoS Attack Detection and Mitigation in VANET Infrastructure,” ETT: Expert Systems for Telecommunications and Technology, vol. 36, no. 10, e70262, Oct. 2025, doi: 10.1002/ett.70262 (Q2)
Patro, P., Fathima, S.H., Harikishore, R. et al. Breast cancer image classification by using HCNN and LeNet5. Discov Sustain 5, 491 (2024). https://doi.org/10.1007/s43621-024-00725-1 (Q1)
Pramoda Patro, Krishna Kumar, G. Suresh Kumar, Gandharba Swain, Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network, Journal of King Saud University - Computer and Information Sciences, Volume 34, Issue 6, Part B, 2022, Pages 3424-3432, ISSN 1319-1578 (Q1)
Sahu, A.K., Sahu, M., Patro, P. et al. Dual image-based reversible fragile watermarking scheme for tamper detection and localization. Pattern Anal Applic 26, 571–590 (2023). https://doi.org/10.1007/s10044-022-01104-0 (Q2)
Patro, P., Kumar, K., Kumar, G. S., & Sahu, A. K. (2023). Intelligent Data Classification Using Optimized Fuzzy Neural Network and Improved Cuckoo Search Optimization. Iranian Journal of Fuzzy Systems, 20(6), 155-169. doi: 10.22111/ijfs.2023.44767.7887 (Q1)
Pitchai, R., Patro, P et al. "Convergence of Artificial Intelligence and Self-Sustainability: Ethical Considerations and Social Implications." Technological Advancements in Data Processing for Next Generation Intelligent Systems, edited by Shanu Sharma, et al., IGI Global, 2024, pp. 107-140. https://doi.org/10.4018/979-8-3693-0968-1.ch005
Verma, Rakesh, Patro, P et al. "Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks." AI and Machine Learning Impacts in Intelligent Supply Chain, IGI Global, 2024, pp. 156-179. https://doi.org/10.4018/979-8-3693-1347-3.ch011
R. Pitchai, Shiv Kant Tiwari, R. Krishna Kumari, K. Janaki, Pramoda Patro, S. Murugan, "Convergence of Artificial Intelligence and Self-Sustainability: Ethical Considerations and Social Implications", 2024, Pages-107-140
Kolli S, Elangovan M, Vamsikrishna M, Patro P. AI Fuzzy Based Prediction and Prorogation of Alzheimer’s Cancer . EAI Endorsed Trans Perv Health Tech . 2024 Mar. 20 ;10.
Kumar, K. K., Sivakumar, S., & Patro, P. Improving the Efficiency of IoMT Using Fuzzy Logic Methods. Advances in Fuzzy Based Internet of Medical Things (IoMT), 107-120., 2024, https://doi.org/10.1002/9781394242252.ch7
Kolli, S., Patro, P., Sharma, R., & Sharma, A. "Classification and Diagnosis of Heart Diseases Using Fuzzy Logic Based on IoT", Advances in Fuzzy?Based Internet of Medical Things (IoMT) 149-162, 2024, https://doi.org/10.1002/9781394242252.ch10
The Internet of Things (IoT) has revolutionized how we interact with technology, and IoT-enabled mobile printers are a prime example of this innovation. These compact, portable devices are designed to seamlessly connect with the broader IoT ecosystem, offering unprecedented flexibility and convenience for users across various industries. By leveraging wireless connectivity options such as Wi-Fi, Bluetooth, or NFC, these printers can easily communicate with smartphones, tablets, and other smart devices.
TensorFlow Developer Certification by Google
