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Dr. Shiru Sharma

Associate Professor
School of Biomedical Engineering IIT BHU
Phone No(s): +91-9792200922
Email: shiru.bme@iitbhu.ac.in
Area of Interest: Bioinstrumentation, Mathematical modeling and analysis of biological control system, Prosthetic devices, Brain computer interface
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Official Address: Associate Professor, School of Biomedical Engineering, IIT (BHU), Varanasi-221005

Ph.D.Biomedical Engineering (2009) Institute of Technology, Banaras Hindu University. Varanasi, India

Title of Thesis: Modeling of dynamic cerebral pressure autoregulation mechanism)

               

B. E.       Electrical Engineering (Gold Medalist) 1995

               Regional Engineering College Kurukshetra*, India

                   *Presently National Institute of Technology, Kurukshetra

               

B. E.       Electrical Engineering (Gold Medalist) 1995

                Regional Engineering College Kurukshetra*, India

               *Presently National Institute of Technology, Kurukshetra

 

Fellowships/Life Memberships of Professional Societies: Life member of Indian Society of Technical Education

    Subjects Taught: Network Analysis and Synthesis, Electronic Circuits, Control System, Biological Control System, Bioinstrumentation

    Teaching Experience:  Since Oct. 1997

    Level Course Code & Title
    UG BM-301 Electronic Measurement and instrumentation for biomedical application
    UG BM-301 Linear control system and its application to the physiological system
    PG BM-514 Mathematical modelling and simulation
    UG BM-401 Bioinstrumentation and medical imaging modalities

     

    • An optoelectronic muscle contraction sensor for prosthetic hand application N Sharma, A Prakash, S Sharma - Review of Scientific Instruments Volume 94 Issue 3 , 2023 Cited by 2

    • Classification of Gait Abnormalities Using Transfer Learning with EMG Scalogram Features, PCBS Negi, SS Pandey, S Sharma, N Sharma International Conference on ICT for Sustainable Development, 407-415,  2023

    • Deep learning-based automated multiclass classification of chest X-rays into Covid-19, normal, bacterial pneumonia and viral pneumonia A Tiwari, TS Sharan, S Sharma, N Sharma Cogent Engineering 9 (1), 2105559

    • Encoder modified U-net and feature pyramid network for multi-class segmentation of cardiac magnetic resonance images TS Sharan, S Tripathi, S Sharma, N Sharma IETE Technical Review 39 (5), 1092-1104
    • Magnetic-based detection of muscular contraction for controlling hand prosthesis A Prakash, N Sharma, AK Katiyar, SK Dubey, S Sharma Sensors and Actuators A: Physical 344, 113709, 2022
    • An augmented deep learning network with noise suppression feature for efficient segmentation of magnetic resonance images S Tripathi, TS Sharan, S Sharma, N Sharma IETE Technical Review 39 (4), 960-973, 2022
    • Motor imagery EEG spectral-spatial feature optimization using dual-tree complex wavelet and neighbour hood component analysis NS Malan, S Sharma IRBM 43 (3), 198-209, 2022
    • Cascaded Model (Conventional+ Deep Learning) for Weakly Supervised Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images TS Sharan, R Bhattacharjee, A Tiwari, S Sharma, N Sharma IETE Technical Review, 1-13, 2022
    • Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach A Tiwari, S Tripathi, DC Pandey, N Sharma, S Sharma Technology and Health Care, 1-14, 2022
    • Non-rigid registration (computed tomography-ultrasound) of liver using B-splines and free form deformation R Bhattacharjee, A Verma, N Sharma, S Sharma International Journal of Biomedical Engineering and Technology 39 (4), 327-346, 2022
    • Prakash, Alok, Neeraj Sharma, and Shiru Sharma. “An Affordable Transradial Prosthesis Based on Force Myography Sensor.” Sensors and Actuators A: Physical, March 20, 2021, 112699. https://doi.org/10.1016/j.sna.2021.112699. (IF-2.9).
    • T. S. Sharan, S. Sharma, N. Sharma, "DENOISING AND SPIKE REMOVAL FROM RAMAN SPECTRA USING DOUBLE DENSITY DUAL-TREE COMPLEX WAVELET TRANSFORM". J Appl Spectrosc  (Published in Russian Version, English Version will come online in March 2021)
    •  Prakash, Alok, and Shiru Sharma. “Single-Channel Surface Electromyography (SEMG) Based Control of a Multi-Functional Prosthetic Hand.” Instrumentation Science & Technology 0, no. 0 (February 8, 2021): 1–18. https://doi.org/10.1080/10739149.2021.1880933. (IF-1.5)
    • Prakash, Alok, and Shiru Sharma. “A Low-Cost Transradial Prosthesis  Controlled by the Intention of Muscular Contraction.” Physical and Engineering Sciences in Medicine 44, no. 1 (March 1, 2021): 229–41. https://doi.org/10.1007/s13246-021-00972-w. (IF-1.2)
    •  T. S. Sharan, R. Bhattacharjee, S. Sharma and N. Sharma, "Evaluation of Deep Learning Methods (DnCNN and U-Net) for Denoising of Heart Auscultation Signals," 2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA), Mumbai, India, 2020, pp. 151-155, doi:10.1109/CSCITA47329.2020.9137813.(Published).
       
    • Prakash, P.S., Sharan, T.S., Pawar, S.J. et al. Wavelet-Based Noise Removal from Raman Signal to Study PLD Coated Forsterite–Hydroxyapatite Thin Film on Stainless Steel 316l Substrate. J Appl Spectrosc 87, 545–552 (2020). https://doi.org/10.1007/s10812-020-01037-8(Published).
       
    • Alok Prakash, Shiru Sharma, Neeraj Sharma, “A compact-sized surface EMG sensor for myoelectric hand prosthesis”,Biomedical Engineering Letters , Vol-9, Page no: 467-479.
       
    • Prakash, Alok, Bindu Kumari, and Shiru Sharma. 2019. “A Low-Cost, Wearable SEMG Sensor for Upper Limb Prosthetic Application.” Journal of Medical Engineering & Technology 43 (4): 235–47. https://doi.org/10.1080/03091902.2019.1653391.
       
    • Prakash, Alok, and Shiru Sharma. 2020. “A Low-Cost System to Control Prehension Force of a Custom-Made Myoelectric Hand Prosthesis.” Research on Biomedical Engineering 36 (3): 237–47. https://doi.org/10.1007/s42600-020- 00064-w.
       
    • Prakash, Alok, and Shiru Sharma. 2020. “Development of an Affordable Myoelectric Hand for Transradial Amputees:” International Journal of Biomedical and Clinical Engineering 9 (1): 1–15. https://doi.org/10.4018/IJBCE.2020010101.
       
    • Prakash, Alok, Ajay Kumar Sahi, Neeraj Sharma, and Shiru Sharma. “Force Myography Controlled Multifunctional Hand Prosthesis for Upper-Limb Amputees.” Biomedical Signal Processing and Control 62 (September 1, 2020): 102122. https://doi.org/10.1016/j.bspc.2020.102122. (IF-3.127)
       
    • R.Bhattacharjee, F.Heitz, V.Noblet, S.Sharma, N.Sharma, ”Evaluation of a Learning-based Deformable Registration Method on Abdominal CT Images", Innovation and Research in BioMedical Engineering (IRBM) Journal [SCI Expanded, Scopus indexed, IF: 1.022]. DOI: https://doi.org/10.1016/j.irbm.2020.04.002.
    • Prakash, Alok, Neeraj Sharma, and Shiru Sharma. “Novel Force Myography Sensor to Measure Muscle Contractions for Controlling Hand Prostheses.” Instrumentation Science & Technology 48, no. 1 (January 2, 2020): 43–62. https://doi.org/10.1080/10739149.2019.1655441. (IF-1.5)
       
    • R. Bhattacharjee, A. Verma, N. Sharma, S. Sharma, "Non-rigid Registration (Computed Tomography Ultrasound) of Liver Using B-Splines and Free Form Deformation", International Journal of Biomedical Engineering and Technology (IJBET) [Scopus indexed, Accepted, July 2019, in press].
       
    • Bhattacharjee, R., Verma, A., Sharma, N., & Sharma, S. (2017, July). Non-rigid registration of multimodal images (Ultrasound and CT) of Liver using gradient orientation information. In 2017 IEEE 2nd International Conference on Opto- Electronic Information Processing (ICOIP) (pp. 35-39). IEEE.
    •  
    • Sharma, Neeraj, Alok Prakash, Ajay Kumar Sahi, Neeraj Sharma, and Shiru Sharma. “Multimodal Sensor to Measure the Concurrent Electrical and Mechanical Activity of Muscles for Controlling a Hand Prosthesis.” Instrumentation Science & Technology 49, no. 2 (March 4, 2021): 146–63. https://doi.org/10.1080/10739149.2020.1804932. (IF-1.5)
       
    • Prakash, Alok, Neeraj Sharma, Neeraj Sharma, and Shiru Sharma. “An affordable transradial prosthesis based on Force myography sensor” Sensors and Actuators:A. Physical (Under minor revision).
       
    • Malan, N.S. and Sharma, S., 2019. “Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals”. Computers in biology and medicine, 107, pp.118-126. (IF=3.434)
       
    • Malan, N.S. and Sharma, S., “Motor imagery EEG spectral-spatial feature optimization using Dual-Tree Complex Wavelet and Neighbourhood Component Analysis”. Innovation and Research in BioMedical Engineering (IF=1.022).
       
    • Malan, N.S. and Sharma, S., “Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification”. Biomedical Signal Processing and Control, 67, p.102550. (IF = 3.137).
       
    • Malan, N.S. and Sharma, S., 2018, July. Removal of Ocular Artifacts from Single Channel EEG Signal Using DTCWT with Quantum Inspired Adaptive Threshold. In 2018 2nd International Conference on Biomedical Engineering (IBIOMED) (pp. 94-99). IEEE.
    • Soni, D., Malan, N.S. and Sharma, S., 2019, July. CCA Model with Training Approach to Improve Recognition Rate of SSVEP in Real Time. In Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality (pp. 56-59).
    • Anuranjeeta, R. Bhattracharjee, S. Sharma, K.K. Shukla, “Classification and QuantitativeAnalysis of Histopathological Images of Breast Cancer”, International Journal of Biomedical Engineering and Technology (IJBET) [Scopus indexed, Accepted, March 2018, in press].
       
    • Anuranjeeta, S Sharma, N Sharma, M Singh, KK Shukla, “Enhancement and segmentation of histopathological images of cancer using dynamic stochastic resonance”,International Journal of Medical Engineering and Informatics, Vol-  12 (Page No- 180-193)
       
    • Anuranjeeta, Shiru Sharma, K.K Shukla, ‘Evaluation of Morphological Changes in Histopathological Images of Ovarian and Breast Cancer Tissues and its Correlation with their Biochemical Parameters’, Research Journal of Biotechnology. (SCI Index Journal ) 2017
       
    • Anuranjeeta,        Shiru        Sharma,        K.K         Shukla,         ‘Classification  of Histopathological Images of Breast Cancerous and Non-cancerous Cells based on Morphological Features’, Biomedical and Pharmacology Journal Vol. 10 (1), 2017.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘Noninvasive blood glucose measurement utilizing a newly designed system based on modulated ultrasound and infrared light’, International Journal of Diabetes in Developing Countries; Springer, 1-10, December 2015. DOI 10.1007/s13410-015-0459-0.
       
    • Saxena S., Sharma N., Sharma S., “Multithreaded Approach for Registration of Medical Images using Mutual Information in Multicore Environment and its PUBLICATIONS Applications in Medical Imaging ” in International Journal of Computer Application,vol. 113(3):23-32, March 2015.
       
    • Saxena S., Sharma S., Sharma N., Verma A., Singh S., “An Automated System for Atlas Based Multiple Organ Segmentation of Abdominal CT images ” in British Journal ofMathematics and Computer Science , in Press (Accepted for Publication).
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘Error Grid Analysis of Reference and Predicted Blood Glucose Level values as obtained from the Normal and Prediabetic Human Volunteers’, American Journal of Biomedical Engineering, 5(1); 2015, pp.6-14.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘The Error Grid Analysis of invasive and indigenously developed noninvasive technique based blood glucose readings obtained from the effect of various glucose concentration sample solutions over blood glucose levels on the human subjects’, Research Journal of Biotechnology. Vol. 10(1), January, 2015.pp.76-84.
       
    • Srivastava, A., Chowdhury, M.K., Sharma, S., Sharma, N., ‘The utilization of ultrasonic standing waves for predicting glucose concentration levels in dextrose mixed intralipid based tissue phantom’, Research Journal of Biotechnology, Vol.10(6), 50-56, 2015.
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘Noninvasive blood glucose assay utilizing a newly designed biosensor system based on modulated ultrasound and infrared technique’, International Journal of Diabetes for developing countries, (Under Review).
       
    • Sanjay Saxena, Neeraj Sharma, Shiru Sharma, “Multithreaded Approach for Registration of Medical Images using Mutual Information in Multicore Environment and Its Applications in Medical Imaging” in International Journal of Computer Application, IJCA, New York, USA, 113(3):23-32, March 2015.
       
    • Sanjay Saxena, Shiru Sharma and Neeraj Sharma “Parallel Image Processing Techniques, Benefits and Limitations” in Asian Journal of Information Technology, Medwells Publications, in Press. (Accepted for Publication)
       
    • Sanjay Saxena, Shiru Sharma and Neeraj Sharma “An Automated System for Atlas Based Multiple Organ Segmentation of Abdominal CT images” in IAENG International Journal of Computer Science. In Press (Accepted for Publications).
       
    • Saxena S., Sharma N., Sharma S., “A Significant Approach for Implementing Parallel Image Processing using MATLAB with Java Threads and Its Implementation in Segmentation using Otsu’s-Method-in-Multi-Core- Environment” in-International Journal of Applied Engineering and Research, Vol. 10, No 17, pp. 37651 – 37657, 2015.
       
    • Sanjay Saxena, Shiru Sharma and Neeraj Sharma “An Intelligent Parallel System for Segmenting abdominal CT images using atlas based allocation from Spine” in Journal of Healthcare Engineering, in Press. (Accepted for Publication).
       
    • Saxena S., Sharma N., Sharma S., “Parallel Image Processing Techniques, Benefits and Limitations” in Research Journal of Applied Science, Engineering & Technology in Press (Accepted for Publication).
       
    • Saxena S., Sharma N., Sharma S., “Parallel Computing in Genetic Algorithm (GA) with The Parallel Solution of n Queen’s Problem Based on GA in Multicore Architecture”in International Journal of Applied Engineering and Research, Vol 10, No 17, pp. 37707–37716, 2015.
       
    • Ankitkajaria, Neeraj Sharma, Shiru Sharma, Satyajit  Pradhan,  Lalit.M.Aggarwal, “Monte Carlo calculation of 6 MV Varian Linac photon beam spectral characteristics using the BEAM code” communicated to Journal of Applied Clinical Medical Physics (American association of physicists in medicine.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘Estimation of fasting Blood glucose levels by invasive and indigenously developed noninvasive technology and its correlation with the glycated hemoglobin(HbA1c)biomarker in healthy  and diabetic subjects’ , Research Journal of Biotechnology, 
      Vol. 9(12),       December, 2014, pp.64-71.
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘Prospective Analysis of Developing Noninvasive Blood Glucose Monitoring Biosensors for Diabetic population’, Bioscience Biotechnology Research Asia, December 2014. Vol. 11(3), December, 2014, pp.593-602.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘The role of  amplitude modulated ultrasonic standing waves in noninvasive blood glucose level detections’, Advances in Bio Research, Vol 5 (4) December 2014, pp.103- 109.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘Five days daily sessions of noninvasive blood glucose level predictions based on amplitude modulated ultrasound and infrared technique over a healthy and diabetic subject’, Journal of Electrical and Electronics Engineering, Vol.5.Ver. IV , Sep-Oct, 2014, pp-34-41.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘The potential application of amplitude modulated ultrasound with Infrared Technique for blood glucose level determination in non invasive manner’. Biomedical and Pharmacology Journal, Vol.7, No.1, June, 2014 , pp.195-206.
       
    • Srivastava, A., Chowdhury, M.K., Sharma, S., Sharma, N., ‘Measurement of Glucose Concentration using Amplitude Modulated Ultrasound with Infrared Technique in Intralipid Phantoms and Human Whole Blood mixed intralipid phantom of Healthy and Diabetic Subjects’, Bioscience Biotechnology Research Asia, August 2014. Vol. 11(2), 593-602 (2014).
       
    • Srivastava, A., Chowdhury, M.K., Sharma, S., Sharma, N., ‘Determination of glucose concentration in various optical phantoms by indigenously developed ultrasound collaborated infrared technology’, Biomedical and Pharmacology Journal, Vol. 7(2), 727-736 (2014).
       
    • Srivastava, A., Chowdhury, M.K., Sharma, S., Sharma, N., ‘Prospective utilization of Modulated Ultrasound with Infrared unit to predict three different ranges of known glucose concentration levels in various human whole blood mixed intralipid samples and its performance evaluation by Clarke and Parkes Error Grid Analysis’, Adv. Biores., Vol 5 (4) December 2014:131-139.
       
    • Srivastava, A., Chowdhury, M.K., Sharma, S., Sharma, N., ‘The viability of Intralipid optical phantom for developing noninvasive blood glucometer’. Adv. Biores., Vol 5 (4) December 2014: 80-87.
       
    • Chowdhury, M.K., Srivastava, A., Sharma, N., Sharma, S., ‘The influence of blood glucose level upon the transport
    S.No. Name Year of Completion Title of Thesis Co-guides (if any)
    1. Md. Koushik Chowdhury  Awarded Noninvasive blood glucose measurement using modulated ultrasound and infrared light Supervisor Name Dr. Neeraj Sharma.
    Co-supervisor Name:
    Dr.Shiru Sharma.
     
    2. Anuranjeeta 
         		 Awarded Bio-Image Analysis Supervisor Name: Dr. Shiru Sharma.
    Co-supervisor Name: Dr. K. K. Shukla.
    3. Sanjay Saxena  Awarded Embedding parallelism in image processing techniques using a multi-core environment with its applications in medical imaging Supervisor Name: Dr. Shiru Sharma.
    Co-supervisor Name: Dr. Neeraj Sharma.
     
    4. Anuj Srivastava  Awarded Optical phantom based in-vitro study for developing non-invasive blood glucose monitoring technique using modulated ultrasound and infrared light Supervisor Name: Dr. Shiru Sharma.
     
    5. Hemlata Shakya Awarded Bio Feedback Design Supervisor Name: Dr. Shiru Sharma.
     
    6. Alok Prakash Awarded Modeling and control of Prosthetic limb Supervisor Name: Dr. Shiru Sharma.
    7. Romel Bhattacharjee Awarded Fusion and Co-registration of medical images. Supervisor Name: Dr. Shiru Sharma.
    Co-supervisor Name: Dr. Ashish Verma
    8. Taresh Sarvesh Sharan Awarded Application of Raman Spectroscopy and Multi-variate signal analysis for biomarker detection Supervisor Name: Dr. Shiru Sharma.
    9. Nitesh Singh Malan Awarded Brain-Computer Interface Supervisor Name: Dr. Shiru Sharma.
    10. Alok Tiwari Defended Viva Medical Image Segmentation using Deep Learning Supervisor Name: Dr. Shiru Sharma 
    11 Neeraj Sharma pursuing Multimodal sensing techniques for prosthetic hand Supervisor Name: Dr. Shiru Sharma 
    12 Balendra pursuing Motor imagery EEG signal processing and classification for BCI application  
    13 Fauzia  Pursuing BCI Application Supervisor Name: Dr. Shiru Sharma 
    14 Puneet Pursuing Hand Prosthesis Supervisor Name: Dr. Shiru Sharma 

     Ph d positions are available in my lab  for the current session to work in the following areas, 

    • Development of low cost biomedical devices
    • Prosthetic device development
    • Use of machine learning and artificial intelligent for biomedical applications
    • Brain computer interface for development of medical devices

    Interested candidate have to follow guidelines of IIT-BHU PhD admission.

    Research interest in Mathematical Modelling and simulation of physiological system, Bioinstrumentation, prosthetic limb development and use of AI, ML and deep learning for biomedical applications .The research team of my lab is currently engaged in the following research area,

     

    • Development of low cost biomedical devices
    • Prosthetic Hand development
    • Use of machine learning and artificial intelligent for biomedical applications
    • Brain computer interface for development of medical devices

    Research output till date: A low cost wearable EMG sensor has been developed, which is sensitive enough to capture clear sEMG signal from remaining forearm stump of a trans-radial amputee for generating stable control commands to drive prosthetic devices. The sensor was tested successfully with  different trans-radial amputees to control the movement of 3D printed prosthetic hand using their EMG signal. The amputees would were able to grasp various objects with their different level of muscle contraction using this prosthetic hand. the work has been presented at various levels. One patent being derived and one under process. The time is still in a a process to integrate the EMG and EEG signal to drive the prosthetic hand. 

    Lab facilities:

    NI hardware and software setup with various physiological sensor kits

    All Analog and digital circuit development facility

    3D printing machine

    32 channel wireless actichamp EEG setup

    AD instrument physiological signal data acquisition system

    wireless EMG sensor Trigno