Birla Institute of Technology, Mesra
Sitanshu Sekhar Sahu
Associate Professor, Electronics and Communication Engg
Contact Address
Permanent Address Flat No: E/3, Sai Nimain Residency, Dakhinakali Road, Dhenkanal,Odisha-759001
Local Address Dept. of ECE, BIT Mesra, Ranchi Jharkhand - 835215
Phone (Office) 09472760260
Phone Residence 09437415338
Email Id
Joined Institute on : 27-Sep-2011

  Work Experience
Teaching : 12 Years

Research : 12 Years

Individual: 12 Years

  Professional Background

Aug. 2021-till date    Associate Professor, Birla Institute of Technology (BIT) Mesra, Ranchi, India

Sept. 2011-July 2021    Assistant Professor, Birla Institute of Technology (BIT) Mesra, Ranchi, India

2010-2011       Guest Faculty, Indian Institute of Technology (IIT) Bhubaneswar, India

2012-2014       Postdoctoral Research Fellow, Oklahoma State University (OSU), USA

  Research Areas
  • Biomedical Signal processing
  • Machine learning,
  • Image Processing
  • Speech processing
  • Bioinformatics
  • Computer Vision 
  Award and Honours

Received DFAIT-GSEP Fellowship, Canada Government, 2008-2009

Received National Merit Scholarship, Govt. of India, 1995

Received State Merit cholarship, Govt. of Odisha, 1993



  1. Satyajit Mahapatra, Sitanshu Sekhar Sahu, “Improved prediction of protein-protein interaction using hybrid of functional-link Siamese neural network and gradient boosting machines”, Briefings in Bioinformatics, 2021 (SCIE)

  2. Biswajit Karan, Sitanshu Sekhar Sahu,” An improved framework for Parkinson’s Disease Prediction using Variational Mode Decomposition-Hilbert Spectrum of speech signal”, Biocybernetics and Biomedical Engineering, vol. 41 (2), pp: 717-732, 2021(SCIE)

  3. Satyajit Mahapatra, Sitanshu Sekhar Sahu, “Integrating Resonant Recognition Model and Stockwell Transform for Localization of Hotspots in Tubulin” IEEE Transactions on NanoBioscience, Vol. 20 (3), 2021 (SCIE)

  4. Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave and Kartik Mahto,“Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson’s disease prediction,” Computer Speech and Language, Vol.69, 101216, 2021 (SCIE Indexed)

  5. Satyajit Mahapatra, Vivek Raj Gupta, Sitanshu Sekhar Sahu, Ganapati Panda, “Deep neural network and extreme gradient boosting based Hybrid classifier for improved prediction of Protein-Protein interaction” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19 (1), 2021 (SCIE Indexed)

  6. Ankita Mishra, Sitanshu Sekhar Sahu, Rajeev Sharma, Sudhansu Kumar Mishra, “Denoising of Electrocardiogram Signal Using S-Transform Based Time–Frequency Filtering Approach” Arabian Journal for Science and Engineering, pp. 1-11, 2021 (In press) (SCIE Indexed)

  7. Priya Sagar, Ashruti Upadhyaya, Sudhansu Kumar Mishra, Rudra Narayan Pandey, Sitanshu Sekhar Sahu, Ganapati Panda, “A Circular Adaptive Median Filter for Salt and Pepper Noise Suppression from MRI Images ” Journal of Scientific & Industrial Research, Vol. 79, pp. 941-944, October, 2020 (SCIE Indexed)

  8. Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu, “Hardware implementation of infinite impulse response anti-notch filter for exon region identification in eukaryotic genes” International Journal of Circuit Theory and Applications, vol. 48(12), pp: 2242-2256, July 2020 (SCIE Indexed)

  9. Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto, “Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech” Biomedical Signal Processing and Control, vol. 61, August 2020 (SCIE Indexed)

  10. Shikha Prakash, Sitanshu Sekhar Sahu, “Soil Moisture Prediction Using Shallow Neural Network” International Journal of Advanced Research in Engineering and Technology, Vol. 11, 6, pp: 426-435, June 2020 (SCOPUS Indexed)

  11. Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu, “VLSI implementation of anti-notch lattice structure for identification of exon regions in Eukaryotic genes” IET Computers & Digital Techniques, vol. 14 (5), pp: 217-229 Sept. 2020. (SCIE Indexed)

  12. Biswajit Karan, Sitanshu Sekhar Sahu, Kartik Mahto, “Parkinson disease prediction using intrinsic mode function based features from speech signal” Biocybernetics and Biomedical Engineering, vol. 40, pp: 249-264, 2020, (SCIE Indexed)

  13. Sitanshu S. Sahu, Cristian D. Loaiza , Rakesh Kaundal, “Plant-mSubP: a computational framework for the prediction of single and multi-target protein subcellular localization using integrated machine-learning approaches” AoB PLANTS, plz068, 2019, (SCI Indexed) ISSN:2041-2851

  14. Navneet Nayan, Sitanshu Sekhar Sahu, Sanjeet Kumar, “Detecting anomalous crowd behavior using correlation analysis of optical flow”, Signal, Image and Video Processing, 13(6),  pp: 1233-1241, 2019, (SCI Indexed) ISSN: 1863-1711

  15. Rupesh Kumar Sinha and S.S. Sahu, “Adaptive firefly algorithm based optimized key generation for image security” Journal of Intelligent & Fuzzy Systems, Vol. 36, no. 5, pp: 4437-4447, 2019, DOI:10.3233/JIFS-169998, (SCI Indexed) (ISSN: 1064- 1246)

  16. S Kumari, SS Sahu, B Gupta, " Efficient  SSHI circuit  for piezoelectric energy harvester uses one shot pulse boost converter"  Journal of Analog Integrated Circuits and Signal Processing, vol.97, pp.545–555, 2018 (SCI Indexed) (ISSN: 0925-1030)

  17. Rupesh Kumar Sinha and Sahu S.S, “Secure Image Encryption Based on Improved Bat Optimized Piecewise Linear Chaotic Map through Integrated Permutation-Confusion and Double diffusion”, Journal of Intelligent & Fuzzy Systems- Applications in Engineering and Technology, 2018, In Press (SCI Indexed) (ISSN: 1064- 1246)

  18. Chandan Pandey, Rokkam Sandeep, Aikansh Priyam, Satyajit Mahapatra, Sitanshu S. Sahu, “Predicting Protein-RNA Interaction Using Sequence Derived features and Machine Learning Approach” International Journal of Data Mining and Bioinformatics, 2018, Vol. 19, issue.3, pp: 270-282, 2017  (SCI Indexed) (ISSN:1748-5681)
  19. Jai Utkarsh, Raju Kumar Pandey, Shrey Kumar Dubey, Shubham Sinha, S. S. Sahu, “Classification of Atrial Arrhythmias using Neural Networks”, IAES International Journal of Artificial Intelligence,  Vol. 7, No. 2, pp. 90-94, 2018, (SCOPUS Indexed), DOI:, (ISSN:2089-4872)
  20. Ram Chandra Barik, Sitanshu Sekhar Sahu and Suvamoy Changder, “A Novel Smooth texture based visual cryptography approach for secure communication” Journal of Electronic Security and Digital Forensic, Vol. 10, No. 2, pp: 109-137, 2018 (Scopus Indexed)   (ISSN:1751-9128)
  21. M. Kumar, S.K. Mishra and Sitanshu S.Sahu,“Cat Swarm Optimization based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images” Applied Computational Intelligence and Soft Computing, Volume 2016, pp:1-6, Article ID 6304915. (Scopus Indexed) (ISSN: 1687-9724)
  22. Nithin V George, Kristy F Tiampo, Sitanshu S.Sahu, Stephane Mazzotti, LaluMansinha, Ganapati Panda” Identification of Glacial Isostatic Adjustment in Eastern Canada Using S Transform Filtering of GPS Observations” Journal of Pure and Applied Geophysics, vol. 169(8), pp: 1507-1517, 2012. (SCI Indexed) (ISSN: 0033-4553)
  23. SitanshuS.Sahu and Ganapati panda” Efficient Localization of Hot Spot in Proteins Using A Novel S-Transform Based Filtering Approach” IEEE /ACM Transaction on Computational Biology and Bioinformatics, vol. 8, issue 5, pp. 1235-1246, 2011. (SCIE Indexed)  (ISSN:1545-5963)
  24. SitanshuS.Sahu and Ganapati panda” A Novel Feature Representation Method based Chou’s Pseudo Amino Acid Composition for Protein Structural Class Prediction” Journal of Computational Biology and Chemistry, vol. 34, issues 5-6, pp. 320-327, 2010. (SCI Indexed)  (ISSN: 1476-9271)
  25. SitanshuS.Sahu and Ganapati panda” Identification of Protein Coding Regions In DNA Sequence Using  a Time-Frequency Filtering Approach” Journal of Genomics, Proteomics and Bioinformatics, vol. 9(1-2), pp. 45-55, 2011. (SCIE Indexed)  (ISSN:1672-0229)
  26. SitanshuS.Sahu and Ganapati Panda, “A Hybrid Method of Feature Extraction for Tumor Classification Using Microarray Gene Expression Data”, International Journal of Computer Science & Informatics, vol.1, issue-1, pp. 22-26, 2011. (ISSN: 2231 –5292)
  27. SitanshuS.Sahu and G. Panda, “A DSP Approach for Protein Coding Region Identification In DNA Sequences”, International Journal of Signal and Image Processing, Vol. 1, Issue 2, pp. 75-79, March 2010.


  1. Rupesh Kumar Sinha, Baddigam Asha, Niraj San, Savvy Prasad, S.S.Sahu, “Chaotic Image Encryption Scheme Based on Modified Arnold Cat Map and Henon Map”, IEEE International Conference on Current trends towards Converging Technologies (ICCTCT 2018), Coimbatore, India, March 1-3,2018
  2. Sweta kumari, Sitanshu Sekhar Sahu and Bharat Gupta, “A Thyristor based Self Start up Integrated Circuit for Piezo-Electric Energy Harvester” International Conference on Intelligent Computing and Control, Coimbatore,23-24 June. 2017, pp: 94-98. (ISBN: 978-1-5386-0373-4)
  1. Sweta kumari, Sitanshu Sekhar Sahu and Bharat Gupta, “A Low Voltage Pre Start Up Circuit for Thermal Energy Harvesting Applications” IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 22 -24 March, 2017, pp-1999-2002. (doi: 978-1-5090-4442-9/17)
  2. Spriha Chandrayan, Aarushi Agarwal, Mohammad Arif, Sitanshu S Sahu,"Selection of dominant voice features for accurate detection of Parkinson's disease" IEEE International Conference on Biosignals, Images and Instrumentation (ICBSII), 2017, 7-8 March, Chennai, India (doi: 978-1-5090-4980-6/17)
  3. R.K.Sinha and S.S.Sahu, “Quantum Key Distribution: Simulation of BB84 Protocol in C” International conference on Engineering Technology, Science and Management Innovation, 15th Jan, Chandigarh, India, 2017 (ISSN: 2345-117X)

6.  Ankita Mishra, Ashutosh Kumar Singh and Sitanshu Sekhar Sahu,  “ECG Signal Denoising using Time-Frequency based Filtering Approach” IEEE International Conference on Communication and Signal Processing, Melmaruvathur, April 6-8, 2016. 

7.  Aarushi Agarwal, Spriha Chandrayan and Sitanshu S Sahu, “Prediction of Parkinson’s Disease using Speech Signal with Extreme Learning Machine” IEEE International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) , Chennai, March 3-5, 2016.

8.  Ashutosh Kumar Singh and Sitanshu Sekhar Sahu, “Prediction of host-pathogen protein-protein interaction network using Machine learning approach” National Conference on Emerging & Innovative Trends in Computer Science, Hyderabad, India, April 12-14, 2016. (ISBN:978-93-82570-78-3)

9.  Ashutosh Kumar Singh, Sitanshu S Sahu, Ankita Mishra, “Sub-Cellular Localization Prediction Using Machine Learning Approach” International Conference on Instrumentation, Electrical and Electronics Engineering, Raipur, India, Dec., 2015

10.  Ram Ch. Barik, Sitanshu S. Sahu and S. P. Bhoi, “A novel data encryption approach in the grid structured binary image” International Conference on Microelectronics, Computing & Communication Systems, Ranchi, India, Nov., 2015

11.  Sitanshu S. Sahu, AmitaKaundal, Clemencia Rojas, Seonghee Lee, Tyler Weirick, Kiran S. Mysore and Rakesh Kaundal,“Computational prediction and experimental validation of host-pathogen protein-protein interactome:a case study on Arabidopsis thaliana - Pseudomonas syringae model system”, Plant Biology, Portland, Oregon,USA,2014.

12.  Sitanshu S.Sahu and Rakesh Kaundal, “Prediction of Arabidopsis-Pseudomonas syringaeinteractome based on domain and interolog based approaches”, MCBIOS Conference, OK, USA, 2014.

13.  Sitanshu S.Sahu and Rakesh Kaundal. “Predicting Multi-target Protein Subcellular Localization combining homology and Machine Learning Approaches”, MCBIOS Conference, Columbia, MO, USA, 2013.

14.  Sitanshu S Sahu and Rakesh Kaundal “A Bioinformatics Approach to Predict Host-Pathogen Protein-Protein Interactions Network”, BMB Graduate Research Symposium, Oklahoma State University, OK, USA, 2013.

15.  Sitanshu S.Sahu, Ganapati panda and RamchandraBarik ,“ Cancer Classification Using Microarray Gene Expression Data: Approached Using Wavelet Transform and F-score Method”, International Conference on Electronic Systems, NIT, Rourkela, Jan. 07-09, 2011.

16.  Sitanshu S.Sahu, Ganapati Panda, “An Efficient Signal Processing Approach in Eukaryotic Gene Prediction”, The Eighth Asia Pacific Bioinformatics Conference, Bangalore, India, Jan. 18-21, 2010 

17.  Sitanshu S. Sahu, Ganapati Panda, Nithin V. George, “An Improved S-Transform for Time-Frequency Analysis”, IEEE International Advance Computing Conference   (IACC), Thapar University, Patiala, India, pp: 315-319, 2009, DOI No: 10.1109/ IADCC. 2009. 4809028

18.  Sitanshu S.Sahu, Ganapati Panda ,“A New Approach for Identification of Hot Spots in Proteins Using S-Transform Filtering”, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Radisson University, Minnesota, USA, pp: 1-4, 2009, DOI No: 10.1109/GENSIPS. 2009. 5174374

19.  Nithin V. George, Sitanshu S.Sahu, L. Mansinha, K.F. Tiampo and Ganapati Panda, “Time Localized Band Filtering Using Modified S-Transform”, International Conference on Signal Processing Systems (ICSPS ), Singapore, pp. 42-46, 2009,  DOI No: 10.1109/ICSPS.2009.63

20.  Sitanshu S.Sahu, Ganapati panda and Satyasai Jagannath Nanda,” Improved Protein Structural Class Prediction Using Genetic Algorithm and Artificial Immune System”, World Congress on Nature and Biologically Inspired Computing (NaBIC), Coimbatore, India, Dec.9-11, 2009, pp. 731-735, DOI No: 10.1109/NABIC.2009.5393488

21.  Sitanshu S.Sahu, Ganapati panda and Chinmaya Mahapatra, “Development of a new low complexity ANN based Drug discovery method for efficient design of SARS Co3CL Protease Inhibitors” ,International Congress of Environmental Research (ICER), BITS, Pilani, Vol.2, pp: 1044, Dec. 18-20, 2008

22.  Sitanshu S. Sahu and Ganapati panda ,“Gene Prediction by Sliding DFT Algorithm”, International Conference Advance Bio-Engineering (ICAB), Satyabhama University, Dec. 05-07, 2007


Book Chapter

1.Navneet Nayan, Sanjeet Kumar and Sitanshu Sekhar Sahu “Accidental Event Detection Based on Optical Flow Analysis” Advances in Communication, Devices and Networking, Lecture Notes in Electrical Engineering vol. 462, pp: 1-8, 2018, Springer, Singapore (ISBN: 978-981-10-7900-9)

2. Ram Chandra Barik, Suvamoy Changder, Sitanshu Sekhar Sahu, “Image Texture-Based New Cryptography Scheme Using Advanced Encryption Standard” Computational Intelligence in Data Mining, Springer, Singapore, vol. 556, pp: 449-458, 2017 (ISBN: 978-981-10-3873-0)

3. Barik R.C., Sahu S.S., Bhoi S.P., Changder S. "A Novel Data Encryption Approach in the Grid-Structured Binary Image.", Lecture Notes in Electrical Engineering, vol 453, pp:103-115, Springer, Singapore, 2018 (ISBN: 978-981-10-5564-5)

4. Mishra A., Pandey C., Sahu S.S. "Detection of Atrial Arrhythmias Using Autoregessive Modeling"  Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 7, pp: 193-200, 2018 Springer, Singapore (ISBN: 978-981-10-3811-2)

  Member of Professional Bodies

Institute of Electrical and Electronics Engineers (IEEE), USA

International Society for Computational Biology (ISCB),USA

International Association of Engineers (IAENG)

  Current Sponsored Projects
  1. Title: Development of end-to-end speech-based AI system for Parkinson's Disease Prediction; IDEAS, TIH, ISI Kolkata, 2022-2023, amount: 5.14 Lakhs  (PI)
  2. Title: Computational identification and validation of genome wide protein-protein interaction network in rice and rice blast, Funding Agency:  SERB, DST, Govt. of India, 2017-2020, Amount: 21.62 Lakhs
  3. Title: Development of   Low Cost Cryptography Approach for Cyber Security, Funding Agency: JCST, Jharkhand Govt., 2017-2019, Amount: 2 Lakhs
  4. Title: Electroencephalogram based Sleep Stages Detection using Advance Wavelet Techniques, from NPIU, MHRD, Govt. of India, 2019-2021, amount: 14.42 Lakhs
  Text and Reference Books
  1. Rajeev Sharma, Sitanshu Sekhar Sahu, Abhay Upadhyay, Rishi Raj Sharma, and Ajit Kumar Sahoo, “Sleep Stage Classification Using DWT and Dispersion Entropy Applied on EEG Signals” ?Computer-Aided Design for Biomedical Applications, CRC Press, Taylor & Francis Group, pp:35-56, 2021 ISBN: 978-0-367-63883-2
  2. Biswajit Karan, Kartik Mahto and Sitanshu Sekhar Sahu, “Intelligent Speech Processing in the Time-Frequency Domain”, Intelligent Speech Signal Processing, Elsevier, PP: 153-169. 2019, ISBN: 978-0-12-818130-0
  3. Sweta Kumari, Sitanshu Sekhar Sahua, Bharat Gupta, Sudhansu Kumar Mishra, “Energy harvesting via human body activities” Smart Biosensors in Medical Care, Academic Press, Elsevier, PP: 87-106, 2020