Information
- Designation : Assistant Professor
- Email : sudarsan@ei.nits.ac.in
- Phone : 8761932350
Research Group
-
Condition monitoring and fault diagnosis
Machine learning applications in renewable energy systems
Biomedical signal and image processing
AI and ML applications
Vibration and acoustics signal processing
Key Notes
- Conference: International - 10
- Journals: 17
- Conferences: 10
- Book Chapters: 5
- Book: 1
- Patents: 6
- PhD: Guided: 5
33
PUBLICATIONS5
DOCTORAL STUDENTS6
PATENTS2
PROJECTSIntroduction [Biosketch]
- Dr. Sudarsan Sahoo was born in Cuttack, Odisha. He earned his B.Tech degree from Sant Longowal Institute of Engineering and Technology (SLIET), Punjab, and his M.Tech from IISc Bangalore. He completed his Ph.D. through IIT Bhubaneswar and KIIT University. Currently, he serves as an Assistant Professor in the Department of Electronics and Instrumentation Engineering at NIT Silchar. He is a Fellow of both the Institution of Engineers (India) (IEI) and the Institution of Electronics and Telecommunication Engineers (IETE). Dr. Sahoo’s research interests span a wide range of interdisciplinary domains, including condition monitoring and fault diagnosis, AI/ML/IoT applications in renewable energy systems, biomedical signal and image processing, intelligent instrumentation, and advanced applications of artificial intelligence and machine learning.
Areas of Interest
- Condition monitoring and fault diagnosis
- Machine learning applications in renewable energy systems
- Biomedical signal and image processing
- AI and ML applications
- Vibration and acoustics signal processing
| Institution | Year | Degree |
|---|---|---|
| Sant Longowal Institute of Engineering and Technology (SLIET), Punjab | 2002 | B.Tech. |
| Indian Institute of Science Bangalore (IISc Bangalore) | 2009 | M.Tech. |
| IIT Bhubaneswar & KIIT University | 2019 | Ph.D. |
Teaching Experience
NIT Silchar
Biju Patnaik University of Technology, Odisha
Biju Patnaik University of Technology, Odisha
Smruti Ranjan Mohanty, Chandrasekar Palanisamy, Sudarsan Sahoo, Soumyaranjan Routray, “Nanostructured Quadric‐Confined Quantum Dot–Quantum Well Kesterite Solar Cell: A Pathway for Cost‐Effective Photosensitive Devices”, physica status solidi (a), Volume 222, Issue 19, October, 2025, Indexed in SCI, Impact Factor: 1.9, Quartile: Q2
Mohd Faisal, Sudarsan Sahoo, Jupitara Hazarika, “Eye blink artefact removal framework for EEG signals using DWT and autoencoder”, International Journal of Biomedical Engineering and Technology, Volume 49, Issue 1, 2025, Indexed in E-SCI, Impact Factor: 0.6, Quartile: Q4
Mohd Faisal, Sudarsan Sahoo, Jupitara Hazarika, “STeCANet: spatio-temporal cross attention network for brain computer interface systems using EEG-fNIRS signals”, Journal of Neural Engineering, Volume 22, Issue 6, 066035, December, 2025, Indexed in SCIE, Impact Factor: 4.5, Quartile: Q1
Smruti Ranjan Mohanty, Chandrasekar Palanisamy, Sudarsan Sahoo, Soumyaranjan Routray, “Stride potential of CZGS/CZGSe quantum dot solar cell influence of nano-structured all-around-barriers”, Micro and Nanostructures, Volume 200, February, 2025, Indexed in SCIE, Impact Factor: 3.1, Quartile: Q2
Soumya Ranjan Mohapatro, Mayur Mulchandani, Nitish Mohanty, Manas Ranjan Sethi, Sudarsan Sahoo, “Fault Detection in Wind Turbine using Soft Sensing Approach”, In Proceedings 2024 3rd International Conference for Advancement in Technology (ICONAT), 2024, IEEE, Indexed in Others
Sahoo, S., Upendra, C., Sahu, K., Bharali, N., Nuthalapati, S., “IoT-Based Online Condition Monitoring and Fault Analysis of Bearings of a Rotating Machinery”, Lecture Notes in Networks and Systems, April, 2023, Springer, Indexed in Scopus
Banala, H.S., Sahoo, S., Sethi, M.R., Sharma, A.K., “Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques”, Lecture Notes in Electrical Engineering, 2023, Springer, Indexed in Scopus
Dr. Sudarsan Sahoo, Dr. Vipin Ch. Pal, Dr. Sudipta Chakraborty, “ELECTRICAL & ELECTRONIC MEASUREMENTS AND INSTRUMENTATION”, 2024, AICTE
Manas Ranjan Sethi
Supervisor : Dr. Sudarsan Sahoo
Academic Year : 2024-2025
Smruti Ranjan Mohanty
Ongoing
Supervisor : Dr. Sudarsan Sahoo
Mohd. Faisal
Ongoing
Supervisor : Dr. Sudarsan Sahoo
Subhransu Sekhar Parhi
Ongoing
Debashis Das
Co Supervisor : Dr. Sudarsan Sahoo
Awards And Honours
- Fellow IETE
- Fellow IEI
- Best paper award in the category of Big Data Analytics in ADCIS 2024
A DEVICE AND A METHOD FOR DETECTING SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CORONAVIRUS BASED ON FILTERED COUGH SOUND SIGNALS.
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
South Africa
Patent
Registration ID, 2022/01879
A DEVICE AND A METHOD FOR DETECTING SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CORONAVIRUS BASED ON FILTERED COUGH SOUND SIGNALS., (**GRANTED**)
A system for diagnosing the cognitive effect of tele-series on the human brain using denoised EEG signals
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Germany
Patent
Registration ID, 202021106795.0
A system for diagnosing the cognitive effect of tele-series on the human brain using denoised EEG signals, (**GRANTED**)
A WIRELESS COMMUNICATION SYSTEM FOR MINING ENVIRONMENT
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Germany
Patent
Registration ID, 202022100010.7
A WIRELESS COMMUNICATION SYSTEM FOR MINING ENVIRONMENT, (**GRANTED**)
A USER DEVICE MODEM SYSTEM TO PROVIDE HIGHER THROUGHPUT WITH LOWER POWER
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Germany
Patent
Registration ID, 202022100009.3
A USER DEVICE MODEM SYSTEM TO PROVIDE HIGHER THROUGHPUT WITH LOWER POWER, (**GRANTED**)
A METHOD AND SYSTEM FOR GENERATING GOOD QUALITY IMAGES FROM DEGRADED HAZY IMAGES
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
South Africa
Patent
Registration ID, 2023/07885
A METHOD AND SYSTEM FOR GENERATING GOOD QUALITY IMAGES FROM DEGRADED HAZY IMAGES, (**GRANTED**)
A SYSTEM FOR IMPROVING ACCURACY OF ULTRA-EDGE IN CRICKET AND A METHOD FOR THE SAME
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
India
Patent
Registration ID, 576513
A SYSTEM FOR IMPROVING ACCURACY OF ULTRA-EDGE IN CRICKET AND A METHOD FOR THE SAME, (**GRANTED**)
