Dr. N. Prasanna Venkatesh
Total Experience
Artificial Intelligence, Data Science, Biomedical Engineering, Biosignal and Image Processing, Cardiac electrophysiology, Medical instrumentation and Device development.
course handled
• Biomedical Signal Processing
• Artificial Intelligence
• Troubleshooting of medical devices
• Neuroengineering
• Healthcare data analytics
Area of interest
Education Details

Publication details
• N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, and J. Sivaraman, “Atrial lead system for enhanced P-wave recording: a comparative study on optimal leads using gradient boosting and deep learning algorithms,” Biomedical Signal Processing and Control, Vol. 97, p. 106730, 2024. https://doi.org/10.1016/j.bspc.2024.106730. Q1
• N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, and J. Sivaraman, “CatBoost-based improved detection of P-wave changes in sinus rhythm and tachycardia conditions: a lead selection study,” Physical and Engineering Science in Medicine, Vol. 46, pp. 925–944, May 2023, https://doi.org/10.1007/s13246-023-01274-z. Q2
• N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, and J. Sivaraman, “Can atrial lead system ameliorate the diagnosis of atrial arrhythmias?” Medical Hypotheses, Vol. 184, p. 111280, 2024, https://doi.org/10.1016/j.mehy.2024.111280. Q3
• N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, and J. Sivaraman, “Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: a deep network ensemble model,” Biomedical Signal Processing and Control, Vol. 97, p. 106703, 2024. https://doi.org/10.1016/j.bspc.2024.106703. Q1
• N. Prasanna Venkatesh, B. Arya, B. Dhananjay, and J. Sivaraman, “The role of optimal and modified lead systems in electrocardiogram,” In Advanced Methods in Biomedical Signal Processing and Analysis, Academic Press, pp. 311-340, January 2023, https://doi.org/10.1016/B978-0-323-85955-4.00014-4.
• N. Prasanna Venkatesh and J. Sivaraman, “A study on standard and atrial lead system for improved screening of P-wave using random forest classifier,” In IEEE Bombay Section Signature Conference (IBSSC), pp. 1-6, November 2021, http://doi.org/10.1109/IBSSC53889.2021.9673216.
• N. Prasanna Venkatesh, B. Arya, J. Sivaraman, and B. Dhananjay, “A new lead system for improved recording of P-wave amplitude and its significance with existing optimal leads,” In 7th IEEE International conference on Bio Signals, Images, and Instrumentation (ICBSII), pp. 1-5, March 2021. https://doi.org/10.1109/ICBSII51839.2021.9445183.
• N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, and J. Sivaraman, “Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model,” In 50th IEEE International conference on Computing in Cardiology (CinC), pp. 1-4, October 2023, https://doi.org/10.22489/CinC.2023.163.
• B. Arya, B. Dhananjay, N. Prasanna Venkatesh, C. Dibya, R. Pradeep Kumar, Kunal Pal, J. Sivaraman, N. Bala Chakravarthy, “A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using Electrocardiogram: A systematic review and meta-analysis,” Archives of Computational Methods in Engineering, May 2023, https://doi.org/10.1007/s11831-023-09935-8. (IF: 9.7) Q1
• B. Dhananjay, B. Arya, N. Prasanna Venkatesh, J. Sivaraman, “Heart rate variability,” In Advanced Methods in Biomedical Signal Processing and Analysis, Academic Press, pp. 31-59, January 2023. https://doi.org/10.1016/B978-0-323-85955-4.00015-6.
• B. Dhananjay, N. Prasanna Venkatesh, B. Arya, and J. Sivaraman, “Cardiac signals classification based on Extra Trees,” In 8th IEEE International Conference on Signal Processing and Integrated Networks (SPIN), pp. 402-406, August 2021. https://doi.org/10.1109/SPIN52536.2021.9565992.
• B. Dhananjay, N. Prasanna Venkatesh, B. Arya, and J. Sivaraman, “Design and Development of LSTM-RNN Model for the Prediction of RR Intervals in ECG Signals,” In Proceedings of the International e-Conference on Intelligent Systems and Signal Processing, Springer, pp. 133-141, August 2021. https://doi.org/10.1007/978-981-16-2123-9_10.
Awards and Achievements
• HTRA fellowship from Ministry of Education, Govt. of India (2022-2024).
• Project fellow under DST-SERB Project, Govt. of India (2019-2022).
• Qualified GATE Biomedical Engineering (2021).
• Best paper award in 2021 7th International conference on Bio Signals, Images, and Instrumentation (ICBSII).
Workshops / Seminars
1. Presented paper in IEEE Bombay Section Signature Conference (IBSSC) at ABV-IIITM Gwalior
2. Presented paper in IEEE Computing in Cardiology (CinC) at Georgia Institute of Technology, USA
3. Presented paper in IEEE International Conference on Bio Signals, Images, and Instrumentation (ICBSII) at IEEE Madras section.
4. Participated in ANRF sponsored workshop in NIT Puducherry.
5. Participated FDP on Sensors and IOT in Healthcare at SRM IST Kattankulathur 18 to 23 August 2025.
6. Successfully completed the UGC & NEP recommended Faculty Induction Training Program (Guru Dakshta) using CDIO and TPACK standards 40 Hours of Learning at SRM IST Kattankulathur.
7. Successfully completed the Online Faculty Refresher and Assimilation Programme (FRAP) conducted by SRM Institute of Science and Technology, Kattankulathur, Tamilnadu.
8. Successfully completed the UGC & NEP recommended "Workshop on eContent Development using AI" as part of in-service continuous professional Development using CDIO and TPACK standards 8 Hours of Learning.
9. Attended the five day online short-term program on Recent Advances in Biomedical Signal & Image Processing from 23rd to 27th February, 2026 organized by Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India
10. Analysed, designed, and implemented the eLearning modules in eCurricula (SRM Learning Management System) for the course Biomedical Signal Processing.
11. Reviewer in the Twelfth International Conference on Biosignals, Images, and Instrumentation organized by the Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, held from March 09 to 11, 2026
12. Participated the Samsung Webinar on Beyond the Image – Revolutionising Diagnosis through AI Innovation held on 14th March 2026.
13. Reviewer in the Journal “Computer Methods and Programs in Biomedicine” and “Scientific Reports”.
Work Experience
Total years of Experience: 7 +
• Assistant Professor, Department of Biomedical Engineering, School of Electrical and Electronics Engineering, SRMIST Tiruchirappalli (SRM University, Chennai) from June 2026 – Till now
• Assistant Professor, Department of Biomedical Engineering, SRMIST Kattankulathur (SRM University, Chennai) from Dec. 2024 –June 2026.
• Senior Research Fellow, National Institute of Technology Rourkela from Nov. 2021 – Dec 2024
• Junior Research Fellow, National Institute of Technology Rourkela from Dec. 2019 – Oct. 2021
• Calibration engineer NHHID, Anna University, Chennai from Feb. 2017 – Jun. 2017
Memberships
• IEEE
• Biomedical Engineering Society of India (BMESI)
• Society of Young Biomedical Scientist (SYBS) India
Funded Projects
NIL
Ph.D. Supervision Details

