Ph.D.: CSE, SRM University, 2025.
M.Tech.: Computer Science & Technology, Andhra University, Visakhapatnam, 2009
B.Tech.: Computer Science & Engineering, Aditya Engineering College, Surampalem, 2006
Teaching Experience: 16 Years
Research Experience: 4 Years
BVRITN Employee ID: 549
JNTUH Registration ID: 91150404-113436
AICTE Registration ID: 1 – 2184570643
- Bio Medical Signal Processing
- Deep Learning Models for ECG segmentation and classification
- ECG-based cardiac arrhythmia detection using Siamese adversarial deep neural networks.
- Robust ECG signal preprocessing, feature extraction and segmentation for automated diagnosis.
- Jyothirmai, V. M. Gayathri, and R. Pitchai, “Dilated U-Net model assisted Swin Patch deep convolutional network for enhanced segmentation and classification of cardiac arrhythmia,” Biomedical Signal Processing and Control, vol. 97, p. 106744, Nov. 2024, doi: 10.1016/j.bspc.2024.106744. SCI Indexed, IF: 3.8
- Jyothirmai., Gayathri, V.M. and Pitchai, R. Cardiac arrhythmia detection from ECG signal using Siamese adversarial neural network. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-17071-5. SCI Indexed, IF: 3.6
- Jyothirmai, V. M. Gayathri, and R. Pitchai, “Recognition of Cardiac Arrhythmia using ECG signals and Bio-inspired AWPSO Algorithms,” Iraqi Journal for Electrical and Electronic Engineering, vol. 20, no. 1, pp. 95–103, Nov. 2023, doi: 10.37917/ijeee.20.1.10. Scopus Indexed.
- Deepika, N. Purushotham, Ch. Sarada, M. S. Kumar, J. Digumarthi, and G. S. Rao, “Enhancing Self-attention Training in Transformers for Image Captioning Using ViT and BERT,” Bio-Inspired Computing, pp. 445–453, 2025, doi: 10.1007/978-3-031-78940-3_47.
- Jyothirmai, N. S. Karthikeya, P. Jagadeesh, S. S. C. Reddy, S. D. Reddy and R. Pitchai, “Pothole Detection and Enhanced Road Safety Using Machine Learning,” 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2024, pp. 1392-1395, doi: 10.1109/ICESC60852.2024.10690147.
- Jyothirmai, B. Surekha, B. S. Chandra, B. Ramyasri, C. H. Reddy and R. Pitchai, “A Framework for Automated Generation of Floor Plan Images through Deep Learning,” 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA), Salem, India, 2024, pp. 228-234, doi: 10.1109/ICSCSA64454.2024.00043.
- Jyothirmai, A. A. Reddy, C. Srinidhi, B. Praneeth, B. Pranavi and P. Ramu, “Maize Disease Prediction Using RESNET and LSTM,” 2024 3rd International Conference for Advancement in Technology (ICONAT), GOA, India, 2024, pp. 1-7, doi: 10.1109/ICONAT61936.2024.10775057.
- Mokshagna Sai, G. Indira Priyadarshini, G. Pranay Goud, D. Haswanth Venkat Sai Varma, R. Pitchai and D. Jyothirmai, “Smart and Sustainable Framework for Maize Leaf Disease Prediction using Deep Learning Techniques,” 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP), Bali, Indonesia, 2024, pp. 467-471, doi: 10.1109/TIACOMP64125.2024.00084.
- Santhosh, M. Vishleshana, M. B. Prasad, R. Pitchai, D. K. Kadali and D. Jyothirmai, “DSA Proficiency Tracker: Personalized Problem Solving and Performance Insights using ReactJS,” 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2024, pp. 760-764, doi: 10.1109/ICESC60852.2024.10690077.
- Ramudu, V. M. Mohan, D. Jyothirmai, D. V. S. S. S. V. Prasad, R. Agrawal, and S. Boopathi, “Machine Learning and Artificial Intelligence in Disease Prediction,” Contemporary Applications of Data Fusion for Advanced Healthcare Informatics, pp. 297–318, Jun. 2023, doi: 10.4018/978-1-6684-8913-0.ch013.
- Jyothirmai, V. M. Gayathri and R. Pitchai, “Recognition of Heart Disease Based on Primitive Parameters Using Machine Learning Model,” 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2023, pp. 649-653, doi: 10.1109/ICECA58529.2023.10395049.
- Jyothirmai, A. Kamuganti, D. N. Gorle, A. Eragadinla and K. P. Gundu, “Cardiac Arrhythmia Class Segmentation Using the Deep 2D CNN Technique,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-6, doi: 10.1109/RMKMATE59243.2023.10369974.
- Jyothirmai, B. Vineela, R. Pitchai, B. Dinesh, M. Indhu and A. G. Avinash, “Data Leakage Detection Using Secret Key Exchange,” 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India, 2023, pp. 218-222, doi: 10.1109/ICECAA58104.2023.10212102.
- Jyothirmai, P. Muktevi, G. R. Varun, H. V. Mantada, J. Moturi and R. Pitchai, “Detection of Cardiac Arrhythmia using Machine Learning,” 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India, 2023, pp. 633-637, doi: 10.1109/ICIMIA60377.2023.10425867.
- J. Digumarthi, V. M. Gayathri and R. Pitchai, “Early Prediction of Cardiac Arrhythmia using Novel Bio-inspired Algorithms,” 2022 8th International Conference on Smart Structures and Systems (ICSSS), Chennai, India, 2022, pp. 01-04, doi: 10.1109/ICSSS54381.2022.9782178.
- Practical Cyber Security for Cyber Security Practitioners, 12 Weeks, Jul-Oct 2025, Gold
- OBE and Accreditation, 12 Weeks, Jul-Oct 2025, Silver
- NBA Accreditation and Teaching and learning in Engineering (NATE), 12 Weeks, Jan-Apr 2025, silver
- Introduction To Internet of Things, 12 weeks, Jan-Apr 2025, Silver
- Accreditation and Outcome Based Learning, 8 Weeks, Aug-Oct 2024, Elite
- Responsible & Safe AI Systems, 12 Weeks, Jul-Oct 2024, Elite
- Data Analytics with Python, 12 Weeks, Jan-Apr 2024, Elite
- Affective Computing, 12 Weeks, Jan-Apr 2024, Elite
- Completed NPTEL (Elite) certification in software Engineering in the duration December-April 2020.
- Completed NPTEL( Elite) certification in software Engineering in the duration July-November 2019.
- Completed NPTEL (Elite with Silver) certification in Cloud Computing in the duration December-April 2018.
- NPTEL BELIEVER, Jan-Apr 2025
- NPTEL MOTIVATED LEARNER, Jul-Dec 2024
- NPTEL DISCIPLINE STAR, Jan-Apr 2024
- One Week FDP on Software Test automation with Selenium, 27-11-2023 to 1-12-2023, organized by BVRIT Narsapur in association with Tata Consultancy Services (TCS)
- One Week FDP on Cloud Infrastructure (AWS), 21-08-2023 to 25-08-2023, organized by Potti Sriramulu Chaluvadi Mallikarjuna Rao College of Engineering and Technology, AP in collaboration with Brainovision Solutions private limited and AICTE
- FDP on Virtual labs, 26th, 27th, 29th September 2023, organized by NITK Surathkal.
- Attended One week National level FDP on Recent trends in Cyber Security and Machine learning from 02-06-2022 to 05-06-2022 organized by CSE department,Sri Vishnu Engineering College for Women, Bhimavaram.