Dr.Sudarsan Sahoo

Information

  • Designation : Assistant Professor
  • Email : sudarsan@ei.nits.ac.in
  • Phone : 8761932350

Key Notes

  • Conference: International - 10
  • Journals: 13
  • Conferences: 10
  • Book Chapters: 5
  • Book: 1
  • Patents: 5
  • PhD: Guided: 4

Cited by

AllSince 2020
Citations224186
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29

PUBLICATIONS

4

DOCTORAL STUDENTS

5

PATENTS

2

PROJECTS

Introduction [Biosketch]

  • Dr. Sudarsan Sahoo was born in Cuttack, Odisha. He has completed his B.Tech from Sant Longowal Institute of Engineering and Technology (SLIET), Punjab and M.Tech from IISc Bangalore. He has received his PhD from IIT Bhubaneswar & KIIT University. He is currently working as Assistant Professor in Department of Electronics & Instrumentation Engineering of NIT Silchar. He is a fellow of IEI and IETE. His research interests include condition monitoring and fault diagnosis, machine learning applications in renewable energy systems. Biomedical signal and image processing, Vibration and acoustics signal processing, AI and ML applications.

Areas of Interest

  • Condition monitoring and fault diagnosis
  • Machine learning applications in renewable energy systems
  • Biomedical signal and image processing
  • Vibration and acoustics signal processing
  • AI and ML applications

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
Assistant Professor
25 April 2013 - Present
NIT Silchar

Assistant Professor
25 July 2009 - 27 July 2011
Biju Patnaik University of Technology, Odisha

Lecturer
1 August 2003 - 27 July 2007
Biju Patnaik University of Technology, Odisha

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

Smruti Ranjan Mohanty
Ongoing
Supervisor : Dr. Sudarsan Sahoo

Mohd. Faisal
Ongoing
Supervisor : Dr. Sudarsan Sahoo

Subhransu Sekhar Parhi
Ongoing

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**)

Sl.No: 1

Title Of Research Project: " Development of Piezoelectric Energy Harvesting Mat & Supercapacitor Based Storage Device for E-Rickshaw "

Sponsored By: IEDC

Overall Budget: Rs 100000

Status: Completed

Sl.No: 2

Title Of Research Project: " Development of smart solar photovoltaic system having encapsulated phase change material with artificial intelligence based real-time condition monitoring "

Sponsored By: SERB or ANRF

Overall Budget: Rs 48,66,400.00

Duration: Feb 19, 2024 - Feb 19, 2027 (3 years)

Status: Ongoing

Important Notice