faculty-profile

Dr. Pramoda Patro

info

Associate Professor

Computer Science and Engineering (CS & AI)

Koneru Lakshmaiah Education Foundation

16

Research

Machine Learning, Deep Learning, Fuzzy Optimization Techniques

Mail: pramoda.patro@sru.edu.in

Educational
Qualifications
(From Highest)

2021

PhD in Machine Learning from K L University, Vijayawada

2009

Mtech in Computer Science from Berhampur University

2005

B. Sc from Berhampur University

Professional
Experience

2024

Associate Professor at SR University, Warangal, Telangana, from 2024-06-27 to .

2022

Associate Professor at KL University, Hyderabad, Telangana, from 2022-01-01 to 2024-06-25.

2012

Assistant Professor at Amrutvahini College of Engineering, Sangamner, Maharshtra, from 2012-09-28 to 2021-12-30.

2012

Assistant Professor at Sharad Chandra Pawar College of Engineering, Otur, Maharashtra, from 2012-03-22 to 2012-09-27.

2008

Assistant Professor at Sanjay Memorial Institute of Technology, Berhampur, Odisha, from 2008-07-07 to 2012-03-20.

Student
Supervision

2

PG

12

UG

Key Publications

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,

Pramoda Patro, Krishna Kumar, G Suresh Kumar, "Optimized hybridization of ant colony optimization and genetic algorithm (HACOGA) based IC-FNN classifier for abalone", Journal of Computational and Theoretical Nanoscience, 2020, Volume-17, Pages-2756-2764

Ghadekar, P., Joshi, S., Swain, D., Acharya, B., Pradhan, M. R. & Patro, P. (2021). Automatic Digitization of Engineering Diagrams using Intelligent Algorithms. Journal of Computer Science, 17(9), 848-854. https://doi.org/10.3844/jcssp.2021.848.854

Pramoda Patro, Krishna Kumar, Debabrata Swain, Hanumantha Rao Sama, "An Analysis of Drug-Drug Interactions (DDIs) Using Machine Learning Techniques in the Drug Development Process", Machine Vision for Industry 4.0, 2022, CRC press, eBook ISBN9781003122401

A. Yadav, P. K. Yadav, S. Toomula, S. Jaiswal and P. Patro, "Qualitative texture analysis on detection of plant disease," 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2021, pp. 1758-1761, doi: 10.1109/ICECA52323.2021.9676026.

P. Patro, R. Azhagumurugan, R. Sathya, K. Kumar, T. R. Kumar and M. V. S. Babu, "A hybrid approach estimates the real-time health state of a bearing by accelerated degradation tests, Machine learning," 2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2021, pp. 1-9, doi: 10.1109/ICSTCEE54422.2021.9708591.

D. Swain, S. Lakum, S. Patel, P. Patro, and Jatin, “An Efficient Crop Yield Prediction System Using Machine Learning”, EAI Endorsed Trans IoT, vol. 10, Mar. 2024.

Pragathi Chaganti Pramoda Patro, R Hari Kishore, A Chandra Sekhar, "A Novel Homomorphic And Matrix Operation For Randomization Encryption Schemes For Privacy In Cloud Computing Architecture", Journal of Theoretical and Applied Information Technology, Volume-101, Issue-3, 2023.

R. H. Kishore, A. Chandra Sekhar, P. Patro and D. Swain, "Multi-Key Privacy-Preserving Training and Classification using Supervised Machine Learning Techniques in Cloud Computing," 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-6, doi: 10.1109/ACCAI58221.2023.10200291.

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

Pramoda Patro, R Hari Kishore, A Chandra Sekhar, Pragathi Chaganti, "An Intelligent MORE Method For Privacy-Preserving Training Technique In Cloud Environment", Journal of Theoretical and Applied Information Technology, Volume-101,Issue-8, 2023.

Thangarasan, D. S. J, P. M, P. Patro, S. I. J and M. P, "Modified Imperialist Competitive Algorithm (MICA) For Smart Heart Disease Prediction in IoT System," 2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballar, India, 2023, pp. 1-6, doi: 10.1109/ICDCECE57866.2023.10150732.

K. Srinivas, J. Aswini., P. Patro and D. Kumar, "Functional overview of integration of AIML with 5G and beyond the network," 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2023, pp. 1-5, doi: 10.1109/ICCCI56745.2023.10128466.

A. A. Deshmukh, K. P. V. Kumar, B. A. Kumar, P. Patro, P. P. Singh and N. Ashokkumar, "Predicting the Impacts of the Environment on the Probability and Severity of Electrical Injuries by AIML," 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/ICCAMS60113.2023.10525918.

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

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

Research Projects / Patents

IoT ENABLED MOBILE PRINTER

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.

Awards and Honors / Achievements

Project

TensorFlow Developer Certification by Google