Dr. Sudarsan Sahoo

April 20, 2022 by Sudarsan Sahoo
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Jupitara Hazarika
Assistant Professor
Email: sudarsan@ei.nits.ac.in | sudarsan_iisc@yahoo.in | sura.cuttack@gmail.com
Date of Joining: 25/04/2013
Academic/Industrial Experience: 16 years
Google Scholar: Click Here
 
 

 

 

 

 

 

 

 

 

 

 

 

 

ACADEMIC QUALIFICATIONS

  • B. Tech. from Sant Longowal Institute of Engineering and Technology (SLIET), Punjab
  • M.Tech. from Indian Institute of Science Bangalore (IISc Bangalore)
  • Ph.D. from IIT Bhubaneswar and KIIT University, Bhubaneswar

EXPERIENCE

  • Working as Assistant Professor in NIT Silchar from April 2013 to till date. 
  • Worked as Assistant Professor in KISD Engineering College, Bhubaneswar  

RESEARCH INTERESTS

  • Condition monitoring and fault diagnosis using advanced signal processing techniques.
  • Biomedical signal and image processing.
  • Artificial intelligence and machine learning applications.
  • IoT and IIoT.
  • Renewable energy.
  • Intelligent instrumentation.
  • Industrial noise control.

SHORT BIOGRAPHICAL SKETCH

Dr. Sudarsan Sahoo was born in Cuttack, India. He received his B.Tech degree from Sant Longowal Institute of Engineering and Technology (SLIET), Punjab in Instrumentation Engineering, and M. Tech degree from Indian Institute of Science Bangalore (IISc Bangalore) in Instrumentation engineering. He completed his Ph.D. in Electronics Engineering from IIT Bhubaneswar and KIIT University Bhubaneswar. He is currently working as an Assistant Professor in the Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar (NIT Silchar), India. His research is specialized in Condition monitoring and fault diagnosis using advanced signal processing techniques, Biomedical signal and image processing, Artificial intelligence and machine learning applications, IoT and IIoT, Renewable energy, Intelligent instrumentation, Industrial noise control.

 

PROJECTS

One completed project titled “Development of Piezoelectric Energy Harvesting Mat & Supercapacitor Based Storage Device for E-Rickshaw” funded by Innovation & Enterpreneurship Development Centre (IEDC).

PATENTS

  • Sudarsan Sahoo et. al. (2022), A Device and A Method for Detecting Severe Acute Respiratory Syndrome (SARS) Coronavirus Based on Filtered Cough Sound Signals, South African Patent No. 2022/01879, (Patent granted).
  • Sudarsan Sahoo et. al. (2022), A System for diagnosing the Cognitive Effect of Tele-series on the Human Brain using De-noised EEG Signals, German Patent No. 202021106795.0, (Patent granted).
  • Sudarsan Sahoo et. al. (2022), A Wireless Communication System for Mining Environment, German Patent No. 202022100010.7, (Patent granted).
  • Sudarsan Sahoo et. al. (2022), A User Device Modem System to Provide Higher Throughput with Lower Power, German Patent No. 202022100009.3, (Patent granted).

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

  • Biomedical Instrumentation
  • Virtual Instrumentation
  • Industrial Instrumentation
  • Sensors and Transducers
  • MEMS
  • Mechatronics
  • Fibre optics and laser instrumentation
  • Optoelectronics and Fiber Optics
  • Control System

PROFESSIONAL MEMBERSHIPS

  • Fellow IETE.
  • Member IEEE,
  • life time member ISTE.

ADMINISTRATIVE RESPONSIBILITY

  • Faculty In-Charge, Virtual Instrumentation Lab.
  • Faculty In-Charge, Industrial Process Control and Automation lab.
  • Member Secretary, DEC, EIE
  • Faculty In Charge, Public relation and industrial training, EIE
  • Faculty In Charge Gardening and beautification.
  • Faculty adviser, Gymkhana Committee.
  • Member, DPPC, EIE.
  • Member, DUPC, EIE.
  • Member, DPC, EIE
  • Member, DPMC, EIE.

PUBLICATIONS

JOURNALS

  1. Sudarsan Sahoo, Ruhul Amin Laskar and Sudipta Chakraborty. “Fault Identification and Classification in Motorcycle Engine Using Acoustic Emission Signal and Machine Learning Techniques”. Journal of Physics, vol.1950, no.1, pp.012029,2021. , 10.1088/1742-6596/1950/1/012029.
  2. Sudarsan Sahoo, Priyanuj Borthakur, Niharika Baruah and Bhaskar Pratim Chutia. “IoT and Machine Learning Based Health Monitoring and Heart Attack Prediction System”. Journal of Physics, vol.1950, no.1, pp.012056,2021. , 10.1088/1742-6596/1950/1/012056.
  3. Sudarsan Sahoo, J. K. Das, Investigation of the Effect of Video Game Play on Cognitive Behaviour using Adaptive Noise Cancellation and Wavelet Transform, Indian Journal of Science and Technology, Volume 10 (27), July 2017.
  4. Sudarsan Sahoo, J. K. Das, Bapi Debnath, Rolling Element Bearing Condition Monitoring Using Filtered Acoustic Emission, International Journal of Electrical and Computer Engineering, vol. 8, No. 5, October 2018, pp. 3560~3567.
  5. Sudarsan Sahoo and Jitendra Kumar Das, “Application of Adaptive Wavelet Transform for Gear Fault Diagnosis Using Modified-LLMS Based Filtered Vibration Signal”, Recent Advances in Electrical & Electronic Engineering, Volume 1 (11), 2018.
  6. Sudarsan Sahoo, D.P. Jena, S.N. Panigrahi, Gear Fault Diagnosis Using Active Noise Cancellation and Adaptive Wavelet Transform, Measurement, Volume 47, January 2014, pp. 356-372.
  7. Sudarsan Sahoo and Jitendra Kumar Das, Bearing Health Monitoring and Diagnosis Using ANC Based Filtered Vibration Signal, Journal of Engineering and Applied Sciences, Volume 13, 2018, pp. 3587-3593.
  8. Sudarsan Sahoo, J. K. Das, Bapi Debnath, Fault Diagnosis in Rolling Element Bearing Using Filtered Vibration and Acoustic Signal, International journal of pure and applied mathematics, Volume 118 (8), 2018, pp. 95-102.
  9. S.K. Barik, K.K. Gogoi, S. Sahoo, H.J. Kim and S. Hajra, A lead-free perovskite Bi1/2(Na1/4Li1/4)TiO3: Investigation on structural, electrical properties and device application, Journal of Materials Science:Materials in Electronics 32 (2021) 4629.
  10. Subrat Kumar Barik, Maheswar Panda, Kintali Manohor Prasad, Sudarsan Sahoo, R.N.P. Choudhary, Impedance and modulus spectroscopic studies of lead free Na1/2Dy1/2TiO3 Ceramic, Memories – Materials, Devices, Circuits and Systems, 2022, p-100013, ISSN 2773-0646.

CONFERENCES

  1. Arup Anupam, N Jagan Mohan, Sudarsan Sahoo and Sudipta Chakraborty. “PRELIMINARY DIAGNOSIS OF COVID-19 BASED ON COUGH SOUNDS USING MACHINE LEARNING ALGORITHMS”. Fifth International Conference on Intelligent Computing and Control Systems (ICICCS 2021). PP.1391-1397,May 2021,, 10.1109/ICICCS51141.2021.9432324.
  2. D. Nath, M. J. Singh, S. Sahoo and J. Hazarika, “Wavelet Based De-noising of EEG Signal Acquired from Tele-serial Addicted Persons,” 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), NOIDA, India, 2019.
  3. M. R. Sethi, B. Hemasudheer, S. Sahoo and S. Kanoongo, “A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers,” 2022 4th International Conference on Energy, Power and Environment (ICEPE), 2022, pp. 1-5, doi: 10.1109/ICEPE55035.2022.9798026.
  4. S. Sahoo, K. Kushwah and A. K. Sunaniya, “Health Monitoring of Wind Turbine Blades through Vibration Signal Using Advanced Signal Processing Techniques,” 2020 Advanced Communication Technologies and Signal Processing (ACTS), 2020, pp. 1-6, doi: 10.1109/ACTS49415.2020.9350405.
  5. Sudarsan Sahoo, R. A. Laskar, J.K. Das, S. H. Laskar, Gear Fault Diagnosis and Classification Using Machine Learning Classifier, 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2019), Male, Maldives, 23-24 February 2019.
  6. S. Chakraborty, V. C. Pal and S. Sahoo, “2DOF Robust PID Controller Design for Industrial Large Time-constant Plus Dead-Time Processes,” 2020 International Conference on Contemporary Computing and Applications (IC3A), Lucknow, India, 2020, pp. 271-274, doi: 10.1109/IC3A48958.2020.233312.
  7. M. R. Sethi, S. Sahoo, S. Kanoongo and B. Hemasudheer, “A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Rule Classifier,” 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), 2022, pp. 1-6, doi: 10.1109/ICEFEET51821.2022.9848401.
  8. Sudarsan Sahoo, Smruti Ranjan Jagadeb, Hybrid Active and Passive Control of a Server Room Noise: A Comparative Study of Results Obtained by using Different Algorithms, Proceedings of the fourth International Conference on Soft Computing for Problem Solving SocProS, Silchar, India, 27-29 Dec 2014.
  9. Sudarsan Sahoo, Jitendra Kumar Das, Bearing Fault Detection and Classification using ANC Based Filtered Vibration Signal, International Conference on Communication and Cyber Physical Engineering (ICCCPE-2018), Hyderabad, India, 2018.
  10. Sudarsan Sahoo, J.K. Das, Chokka Upendra, Krishnananda Sahu, Online Condition Monitoring and Fault Analysis of Bearing of a Rotating Machinery using IoT, ICRIEECE-2018, Bhubaneswar (India), 2018.
  11. Sudarsan Sahoo, Smruti Ranjan Jagadeb, Performance Analysis of RLS and LMS, Used in Adaptive Filters for Active Noise Cancellation of an Elevator Noise, International Conference on Computing, Communication and Sensor Network (CCSN-2014), India, 2014.

BOOK CHAPTER

  1. Kushwah K., Sahoo S., Joshuva A, Health Monitoring of Wind Turbine Blades Through Vibration Signal Using Machine Learning Techniques, Lecture Notes in Networks and Systems, vol 170, 2021, Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_22.
  2. Sahoo S., Das J.K. (2019) Bearing Fault Detection and Classification Using ANC-Based Filtered Vibration Signal. In: Kumar A., Mozar S. (eds) ICCCE 2018. ICCCE 2018. Lecture Notes in Electrical Engineering, vol 500. Springer, Singapore, https://doi.org/10.1007/978-981-13-0212-1_34.
  3. Sudarsan Sahoo and Smruti Ranjan Jagadeb, Hybrid Active and Passive Control of a Server Room Noise: A Comparative Study of Results Obtained by Using Different Algorithms, Advances in Intelligent Systems and Computing, 2015, Springer, Singapore, 336: 577-594, DOI: 1007/978-81-322-2220-0_48.

WORKSHOPS ORGANIZED

  • Coordinator of TEQIP-III sponsored One week short-term course on MATLAB applications in control system and signal processing at NIT Silchar from 18-22 February 2019.
  • Coordinator of TEQIP-III sponsored One week short-term course on Data acquisition and LabVIEW applications at NIT Silchar from 21-16 March 2018.
  • Coordinator of TEQIP-III sponsored One week short-term course on Recent Trends in Communication, Signal Processing and Solid State Devices at NIT Silchar from 13-17 March 2018.
  • Coordinator of  Hands-on training on LabVIEW and data acquisition systems from 05-09 August 2014.
  • Coordinator of STTP on modular automation production system at NIT Silchar from 03-07 March 20214.

CONFERENCE ORGANIZED

  • Organzed 4th International Conference on “SocPros-14″, at NIT Silchar, during 27-29 December 2014.
  • Organized ONLINE International Conference on “Computational Intelligence & Sustainable Technologies (ICoCIST-2021)”, jointly organized by NIT Silchar and NIT Sikkim, during 28-30 Oct. 2021.
  • Organized, 1st International Conference on Emerging Electronics and Automation (E2A 2021), 17-19 December 2021, NIT Silchar.. URL: http://e2a.nits.ac.in.
  • Organized 2nd International Conference on Emerging Electronics and Automation (E2A 2022), 16-18 December 2022, NIT Silchar. http://e2a2022.nits.ac.in

Ph.D SUPERVISION


Sl. No.		 Name of the Scholar Status Thesis Title Supervision
1 Manas Ranjan Sethi Ongoing Fault diagnosis in wind turbine generators using advanced signal processing techniques. Supervisor
2 Mohd. Faisal Ongoing Performance enhancement of EEG+fNIRS hybrid BCI system. Supervisor
3 Smruti Ranjan Mohanty Ongoing Energy enhancement from solar panels. Supervisor
4 Subhranshu Parhi Ongoing Fault diagnosis in wind turbine generators using IoT and machine learning techniques. Supervisor

 

M.TECH SUPERVISION

Sl. No. Student Dissertation Topic Status Year
1 Banala Hemasudheer Damage Detection of Wind Turbine Blades Based on Signal Processing Approach. Completed 2022
2 Arup Anupam Preliminary Diagnosis of Covid-19 based on Cough Sounds using Machine Learning, Artificial Neural Network and Deep Learning Algorithms. Completed 2021
3 Kuldeep Kushwah Health Monitoring of Wind Turbine Blades Through Vibration and Acoustic Emission Signals using Machine Learning Techniques. Completed 2020
4 Suraj Saha Fault Diagnosis in Bearings and Gears of Rotating Machinery Using Machine Learning Techniques. Completed 2019
5 Nayan Jyoti Boro Efficiency Enhancement and Reflectance Reduction of single Junction Compound Semiconductor Solar Cell. Completed 2018
6 Abdus Samad Development of a Micro-Controller Based Robotic Arm Control System for Educational Purpose Completed 2018
7 Ruhl Amin Laskar Intelligent Fault Monitoring in Rotating Machinery Completed 2017
8 Bapi Debnath Fault Detection in Rolling Element Bearing Completed 2017
9 E. Limhachan Kikon Active Noise Control in a Laboratory Duct Completed 2015
10 Bagdevi Moharana Adaptive Algorithm based Active Technique for Acoustic Noise Control and its Performance Evaluation Completed 2015
11 Smruti Ranjan Jagadeb Hybrid Active & Passive Control of A Server Room Noise – A Comparative Study of Results Obtained By using Different Algorithms Completed 2014

 

Awards and Recognitions

  • Active reviewer of various reputed journals namely ISA Transactions, IJECE.
  • Active reviewer of many conferences namely IEEE MIND , IEEE ACTS, IEEE SILCON, MNDCS, E2A.
  • TPC Member of many conferences namely IEEE MIND , IEEE ACTS, IEEE SILCON, MNDCS, E2A.
  • Session Chair for E2A.

Invited Talks

  • Delivered expert lecture in TEQIP-III sponsored faculty development program on “Role of artificial intelligence in data science and internet of things applications” at IGIT sarang.
  • Delivered expert lecture in TEQIP-III sponsored STTP program on “Communication and signal processing in engineering applications” at Capital Engineerig College.
  • Delivered expert lecture in TEQIP-III sponsored STTP program on “IoT, Machine learning and optimization in engineering applications” at Capital Engineerig College.
  • Delivered expert lecture in TEQIP-III sponsored webinar on “Energy management under Large Scale Renewable Integration” at Raajdhani Engineering College. Bhubaneswar.
  • Delivered invited lecture on “Application of artificial intelligence and machine learning in biomedical field” at Gandhi Institute for Technolgy, Bhubaneswar.
  • Delivered an expert talk in Hands-on training and workshop on “Biomedical Instrumentation System for Clinical Diagnosis and Research” at NIT Silchar.

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About Sudarsan Sahoo

Sudarsan Sahoo was born in Cuttack, India. He received his B.Tech degree from Sant Longowal Institute of Engineering and Technology (SLIET), Punjab in Instrumentation Engineering, and M. Tech degree from Indian Institute of Science Bangalore (IISc Bangalore) in Instrumentation engineering. He completed his Ph.D. in Electronics Engineering from IIT Bhubaneswar and KIIT University Bhubaneswar. He is currently working as an Assistant Professor in the Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar (NIT Silchar), India. His research is specialized in Condition monitoring and fault diagnosis using advanced signal processing techniques, Biomedical signal and image processing, Artificial intelligence and machine learning applications, IoT and IIoT, Renewable energy, Intelligent instrumentation, Industrial noise control.