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Sitanshu Sekhar Sahu

Contact Us

Email - sssahu@bitmesra.ac.in
Phone - 9472760260

Publication

Journals 

2023-2024

Rupesh Kumar Sinha, Sitanshu Sekhar Sahu, “Multi-level Image Security using Modified Rubik’s Cube Algorithm” Int. J. of Information and Computer Security, 2023 (SCOPUS)

2022-2023

Amit Kumar Sahoo, Sudhansu Kumar Mishra, Deep Shekhar Acharya, Sitanshu Sekhar Sahu, Sanchita Paul, Vikash Kumar Gupta, “Identification and control of Maglev system using fractional and integer order PID controller” Journal of Intelligent & Fuzzy Systems, vol. 44, no. 5, pp. 7277-7289, May 2023 (SCIE)

Biswajit Karan, Satyajit Mahapatra, Sitanshu Sekhar Sahu, Dev Mani Pandey, Sumit Chakravarty, “Computational Models for Prediction of Protein-Protein Interaction in Rice and Magnaporthe grisea” Frontiers in Plant Science, Vol. 13, PP: 5656, Feb. 2023 (SCIE), ISSN: 1664-462X

Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu, “Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease”, Biomedical Signal Processing and Control, Vol. 78, PP: 103909, Sept. 2022 (SCIE)

2021-2022

Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, “An investigation about the relationship between dysarthria level of speech and the neurological state of Parkinson’s patients”, Biocybernetics and Biomedical Engineering, Vol 42(2), June 2022, pp:710-726, (SCIE)

Satyajit Mahapatra, Sitanshu Sekhar Sahu, “ANOVA‐particle swarm optimization‐based feature selection and gradient boosting machine classifier for improved protein–protein interaction prediction”, Proteins: Structure, Function, and Bioinformatics, Sept. 2021 (SCIE), ISSN: 1097-0134

Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu, “FPGA implementation of high-speed tunable IIR band pass notch filter for identification of hot-spots in protein”, International Journal of Circuit Theory and Applications, Sept. 2021 (SCIE)

Satyajit Mahapatra, Sitanshu Sekhar Sahu, “ANOVA‐particle swarm optimization‐based feature selection and gradient boosting machine classifier for improved protein–protein interaction prediction”, Proteins: Structure, Function, and Bioinformatics, Sept. 2021 (SCIE)

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)

2020-2021

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)

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)

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)

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 (In press) (SCIE Indexed)

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)

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)

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)

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)

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)

2019-2020

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)

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, (SCI Indexed)

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, vol. 12, no. 3, pp: plz068, 2019 (SCIE Indexed)

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, https://doi.org/10.1007/s11760-019-01474-9 (SCI Indexed)

2018-2019

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)

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) https://doi.org/10.1007/s10470-018-1218-1

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, Vol. 35, no. 2, pp: 1567-1578, Aug. 2018 (SCI Indexed) (ISSN: 1064- 1246)

2017-2018

Ram Chandra Barik, Sitanshu Sekhar Sahu and SuvamoyChangder, “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, Jan. 2018 (SCOPUS Indexed)   (ISSN:1751-9128)

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: http://doi.org/10.11591/ijai.v7.i2. (ISSN:2089-4872)

Chandan Pandey, Rokkam Sandeep, AikanshPriyam, SatyajitMahapatra, Sitanshu S. Sahu, “Predicting Protein-RNA Interaction Using Sequence Derived features and Machine Learning Approach” International Journal of Data Mining and Bioinformatics, Vol. 19, issue.3, pp: 270-282, Sept. 2017  (SCIE Indexed) (ISSN:1748-5681)

2016-2017

M. Kumar, S.K. Mishra and S.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)

2012-2013

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)

2011-2012

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)

Sitanshu S.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. (SCI Indexed)

2010-2011

Sitanshu S.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)

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.

 
 Conferences 
  1.  
  2. Biswajit Karan, Kartik Mahto and Sitanshu Sekhar Sahu,"Detection of Parkinson Disease using Variational Mode Decomposition of the Speech Signal" International Conference on Communication and Signal Processing, April 3-5, 2018.
  3. 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
  4. 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)
  5. 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)
  6. 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)
  7. 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)
7.  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. 
8.  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.
9.  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)
10.  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
11.  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
12.  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.
13. Sitanshu S. Sahu, Tyler Weirick, and Rakesh Kaundal, “Predicting genome-scale Arabidopsis-Pseudomonas syringaeinteractome using domain and interolog-based approaches”,BMC Bioinformatics 15(S11): S13, 2014
14.Tyler Weirick, Sitanshu S. Sahu, R. Mahalingam and Rakesh Kaundal, “LacSubPred: predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in-silico approaches”, BMC Bioinformatics 15(S11): S15, 2014

15. Rakesh Kaundal, Sitanshu S. Sahu, RuchiVerma and Tyler Weirick, “Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning”, BMC Bioinformatics 14(S14): S7, 2013

16.  Sitanshu S.Sahu and Rakesh Kaundal. “Predicting Multi-target Protein Subcellular Localization combining homology and Machine Learning Approaches”, MCBIOS Conference, Columbia, MO, USA, 2013.
17.  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.
18.  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.
19.  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 
20.  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
21.  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
22.  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
23.  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
24.  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
25.  Sitanshu S. Sahu and Ganapati panda ,“Gene Prediction by Sliding DFT Algorithm”, International Conference Advance Bio-Engineering (ICAB), Satyabhama University, Dec. 05-07, 2007