DESCRIPTION :

Dr. Santosh kumar Behera completed Ph.D. in Electrical (Control) Engineering from National Institute of Technology (NIT), Rourkela after obtaining B.E. in Instrumentation Engineering from Sant Longowal Institute of Engineering and Technology (Deemed University Established by MHRD Govt. of India), Punjab. Now, he is working as Principal Scientist at process Engineering and Instrumentation Department of CSIR-Institute of Minerals and Materials Technology, Bhubaneswar. Prior to his joining CSIR-IMMT, he was working at Wind tunnel of National Trisonic Aerospace facility Department, CSIR-NAL, Bangalore from 2004 to 2007. He has been undertaking research on interdisciplinary field of research in mineral processing instrumentation that would have a strong direct impact to the industry as well as scientific society. He has filed 4 patents and published 33 papers in international journal and conferences. He has executed 12 projects as principal investigator, 4 projects as co-principal investigator and 33 projects as a member. He is fellow of Institution of Electronics and Telecommunication Engineers (IETE) & Institute of Engineers. He received the prestigious IETE (The Institution of Electronics and Telecommunication Engineers) – Hari Ramji Toshniwal Award (2022) on 25^th September 2022 at 65th Annual IETE Convention held at Hyderabad for his excellent contribution to the development and commercialization of two unique industrial instruments for use in iron ore pelletization plant automation.  He received IIME Mineral Excellence award at Bhubaneswar in 2022.He also received a prestigious National Instrument Engineering Impact Awards (Runners up) under system category in the year of 2014 at Bangalore. He has been adjudged for the best poster presentation of the Dept. of Electrical Engineering, NIT, Rourkela at the Research Scholars Week 2016.

 He developed two novel industrial instrument named as EYE-ON-PELLET (Online pellet size monitoring system) and EXPERT EYE-ON-PELLET (Pelletization Disc Control System) for Pelletization Industry. The EYE-ON-PELLET and EXPERT EYE-ON-PELLET technology licenses were transferred to M/S SVNT Infotech Pvt. Ltd. Hyderabad for production and marketing. Both technologies were commercialized at JSW Steel Limited PP1, PP2, Vidyanagar and BMM Ispat, Hospete, Karnataka through SVNT Infotech Pvt. Ltd. Hyderabad. These two indigenously developed instruments are competitive both in quality and price with foreign brands. This activity supported Atmanirbhar Bharat through import substitution as these are very high value equipment, thereby saving significant amount of foreign currency. Such industrial monitoring and control system development capability would help Indian industries in digitalization for industry 4.0 standard.

His research interests include Industrial Instrumentation and Control, Computer Vision, Machine Learning,  Active Noise Control, and LabVIEW based soft sensor development.

• Principal Scientist, CSIR-IMMT, Bhubaneswar from 2017 till date.
• Senior Scientist, CSIR-IMMT, Bhubaneswar from 2014 to 2017.
• Scientist-C, CSIR-IMMT, Bhubaneswar from 2010 to 2014.
• Scientist-B, CSIR-IMMT, Bhubaneswar from 2007 to 2010.
• JTA, CSIR-NAL, Bangalore from 2004 to 2007.
  

• A. J. Deo, S. K. Behera and D. P. Das, "Online Monitoring of Iron Ore Pellet Size Distribution Using Lightweight Convolutional Neural Network", in IEEE Transactions on Automation Science and Engineering, 2023, Impact Factor: 6.636, doi: 10.1109/TASE.2023.3253574.
• S. P. Sethi, D. P. Das, S. K. Behera and N Ray "Instability and fault analysis of arc plasma using advanced signal processing methods" Review of Scientific Instruments, vol. 94, no. 10, pp. 1434-1445, Oct 2023, doi: doi.org/10.1063/5.0161187.
  
• S. P. Sethi, D. P. Das and S. K. Behera, "Monitoring of Arc Plasma Process Parameter Using CNN-Based Deep Learning Algorithm to Accommodate Sensor Failure," in IEEE Transactions on Plasma Science, vol. 51, no. 6, pp. 1434-1445, June 2023, Impact Factor: 1.368, doi: 10.1109/TPS.2023.3274788.
  
• S. Bagha, D. P. Das and S. K. Behera, "Reference Microphone Free Active Headrest System for Noise Containing Varying Frequency Tonal Components," in IEEE Transactions on Circuits and Systems II: Express Briefs vol. 70, no. 8, pp. 3184-3188, Aug. 2023, Impact Factor: 3.69, doi: 10.1109/TCSII.2023.3246437.
• S. P. Sethi, D. P. Das and S. K. Behera, "Cathode Position Detection in a Transferred Arc Plasma Using Artificial Neural Network", in IEEE Transactions on Plasma Science, vol. 51, no. 3, pp. 913-921, March 2023, Impact Factor: 1.368,  doi: 10.1109/TPS.2022.3229199.
• A. J. Deo, A. Sahoo, S. K. Behera and D. P. Das, "Iron Ore Pellet Size Analysis: A Machine Learning-Based Image Processing Approach", in IEEE Industry Applications Magazine, vol. 29, no. 1, pp. 67-79, Jan.-Feb. 2023, Impact Factor: 0.756, doi: 10.1109/MIAS.2022.3214020. 
• A.J. Deo, A. Sahoo, S. K. Behera and D. P. Das, “Vision-based size classification of iron ore pellets using ensembled convolutional neural network”, Neural Computing & Applications, 34, 18629–18641, 2022, Impact Factor: 5.102, doi: 10.1007/s00521-022-07473-1.
• S. Bagha, D. P.  Das and S. K. Behera "An Efficient Narrowband Active Noise Control System for Accommodating Frequency Mismatch", in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.28, pp.2084-2094, 2020.Impact Factor: 4.364, doi: 10.1109/TASLP.2020.3008803.
• D. K. Nayak, D. P. Das, S. K. Behera, S. P. Das "Monitoring the fill level of a ball mill using vibration sensing and artificial neural network" Neural Computing and Applications, 1-11, 2020, Impact Factor: 5.102, doi: 10.1007/s00521-019-04555-5.
• D. K. Nayak, D. P. Das, S. K. Behera, S. P. Das, J. K. Sadangi, “Prevention of Hydrocyclone Choking Through Detection of Sub-Hz Frequency Shift of Vibration Signal”, Journal of Vibration Engineering & Technologies, Springer, 1-12, 2019. Impact Factor: 2.333, doi: 10.1007/s42417-019-00107-2.
• S. K. Behera, D. P.  Das and B. Subudhi “Head movement immune active noise control with head mounted moving microphones”, Journal of Acoustic Society of America, vol.142, no.2, pp.573-587, 2017, Impact Factor: 2.482, doi: 10.1121/1.4996125. 
• S. K. Behera, D. P.  Das and B. Subudhi “Adaptive nonlinear active noise control algorithm for active headrest with moving error microphones” Applied Acoustic, Elsevier, vol.123, pp.9-19, 2017. Impact Factor -3.614, doi: 10.1016/j.apacoust.2017.03.002.
• S. K. Behera, D. P.  Das and B. Subudhi "Functional link artificial neural network applied to active noise control of a mixture of tonal and chaotic noise" Applied Soft Computing, Elsevier, vol. 23, pp. 51–60, October 2014. Impact Factor: 8.263, doi: 10.1016/j.asoc.2014.06.007.
• S. P. Das, D. P. Das, S. K. Behera and B. K. Mishra, “Interpretation of mill vibration signal via wireless sensing”, Elsevier Minerals Engineering, Vol 24, Issues 3-4, Feb-Mar 2011, pp 245-251. Impact Factor: 5.479, doi: 10.1016/j.mineng.2010.08.014.

• S. K. Behera, D. P. Das & A.  J.  Deo “An apparatus and method for control of disc pelletizer by accurate size monitoring of pellets”, India, Application No. 201911042004, dated 17.10.2019, Patent No.504441, Date of Grant 29.01.2024.
• S. K. Behera, D. P. Das, S. Bhuyan, S. Rath, S. K. Mishra, S. K. Biswal, B. K. Mishra and A. S. Prasad "A method and apparatus for controlling the speed of pelletization disc using image processing based pellet-size-distribution trend to reduce recycling load", India, Application No. 3830DEL2013, dated 31.12.2013, Patent No. :430663, Date of Grant: 29.04.2023.
• S. K. Angadi, S. K. Behera, P. S. R. Reddy and B. K. Mishra ”A novel technique and apparatus for monitoring hydrocyclone spigot choking”, India and South Africa Application No-0618DEL2013 PP2014/01623, dated 04.03.2013, Date of Grant:26.11.2014.
• S. Rath, S. K. Pandey, D. P. Sandha, B. Rath, M. Mohapatra, B. K. Parida, T. Dash, D. P. Das, S. K. Behera, S. K. Mishra and B. K. Mishra "Software controlled and operated apparatus for real time location based air pollution monitoring system in a moving node", India, Application No 201611009092, dated 16.03.2016.