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Dr. Bharat Ramkrishna

Assistant Professor

About me

Dr. Bharath Ramkrshna, before Joining DIAT, worked as a Research Assistant Professor at Ritsumeikan University BKC, Japan. I have done my Ph.D. from IIT Hyderabad in the Department of Electrical Engineering. My research interests lie in computer-aided diagnostics for medical ultrasound imaging systems and autonomous navigation in rural/ agriculture scenarios.

Education

  • 2018: Ph.D. in Electrical Engineering, IIT Hyderabad
  • 2012: M.Tech in Digital Electronics and Communication Systems, Madanapalli Institute of Technology and Science
  • 2008: B.Tech in Electronics and Communication Engineering, Kuppam Engineering College

Research Domain

  • Computer aided diagnostics for medical imaging
  • Autonomous navigation in rural scenario Precision agriculture

Research Publications

  • Rajalakshmi, P., D. Santhosh Reddy, and R. Bharath. "CNN based framework for representative detection of liver images for CAD and tele-sonography applications." CSI Transactions on ICT (2019): 1-5.
  • R Bharath, P Rajalakshmi, Mohammed Abdul Mateen. “Multi-modal Framework for Automatic Detection of Diagnostically Important Regions in Nonalcoholic Fatty Liver Ultrasonic Images" Elsevier Biocybernetics and Biomedical Engineering, vol.38.3, pp-586- 601, 2018. IF:2.537
  • R Bharath, Pradeep Kumar Mishra, P Rajalakshmi. “Automated Quantification of Ultrasonic Fatty Liver Texture based on Curvelet Transform and SVD" Elsevier Biocybernetics and Biomedical Engineering, vol.38.1, pp-145-157, 2018.
  • K Divya Krishna, Vivek Akkala, R Bharath, P Rajalakshmi, Mohammed Abdul Mateen, S.N. Merchant, and U. B. Desai. “Computer-Aided Abnormality Detection for Kidney on FPGA based IoT Enabled Portable Ultrasound Imaging System", Elsevier Innovation in Research and Biomedical Engineering, 37(4), pp-189-197, 2016.
  • R Bharath, Punit Kumar, Chandrashekar Dusa, Vivek Akkala, Suresh Puli, Harsha Ponduri, K.Divya Krishna, P Rajalakshmi, S. N. Merchant, Mohammed Abdul Mateen, and U. B. Desai. “FPGA based Portable Ultrasound Scanning System with Automatic kidney detection", Journal of Imaging, 1(1), pp-193-219, 2015

Conference Proceedings

  • R. Bharath, and P. Rajalakshmi. "Nonalcoholic Fatty Liver Texture Characterization based on Transfer Deep Scattering Convolution Network and Ensemble Subspace KNN classifier." In 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), pp. 1-4. IEEE, 2019.
  • R Bharath, Punit Kumar, Santhosh reddy, P Rajalakshmi. “Compact and Programmable Ultrasound Front-end Processing Module for Research Activities" 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 921-924, 2018, Honolulu, HI
  • D. S. Reddy, R Bharath and P. Rajalakshmi, "Classification of Nonalcoholic Fatty Liver Texture Using Convolution Neural Networks," 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1-5, 2018, Ostrava, Czech Republic.
  • D Santhosh reddy, R Bharath, P Rajalakshmi. “A Novel Computer-Aided Diagnosis Framework Using Deep Learning for Classification of Fatty Liver Disease in Ultrasound Images" 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1 to 5, 2018, Ostrava, Czech Republic.
  • R Bharath, P Rajalakshmi. “WebRTC based Invariant Scattering Convolution Network for Automated Validation of Ultrasonic Videos for IoT Enabled Tele-sonography" Internet of Things (WF-IoT), IEEE 4th World Forum on, pp. 790-795, 2018, Singapore.
  • R Bharath, and P Rajalakshmi. “Deep Scattering Convolution Network based Features for Ultrasonic Fatty Liver Tissue Characterization." In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, pp. 1982-1985. IEEE, 2017. Jeju Island, South Korea.
  • Vaish Pallavi, R Bharath, and P Rajalakshmi. “Smartphone based Automatic Organ Validation in Ultrasound Video." In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, pp. 4289-4292. IEEE, 2017. Jeju Island, South Korea.
  • R Bharath, P Rajalakshmi, Uday B Desai. “Subjective Liver Ultrasound Video Quality Assessment of Internet based Videophone Services for Real-Time Telesonography" 19th internal conference of, pp. 1-6, IEEE Healthcom 2017, Dalian, China.
  • R Bharath, P Rajalakshmi. “Nonlocal Means Kernel Regression based Despeckling of Bmode Ultrasound Images", 18th International Conference on E-health Networking, Application & Services (HealthCom), pp. 1-6, 14-17 Sept. 2016, Munich, Germany.
  • R Bharath, Punit Kumar, P Rajalakshmi. “Novel Architecture for Wireless Transducer Based Ultrasound Imaging System" 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2016, pp. 432-436. Kuala Lumpur, Malaysia.
  •         R. Bharath, Punit Kumar, P Rajalakshmi “Implementation of Diagnostically Driven Compression Algorithms Via WebRTC for IoT Enabled Tele-sonography" 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2016, pp. 204-209. Kuala Lumpur, Malaysia (Awarded best paper.)
  • Pallavi Vaish, R Bharath, P Rajalakshmi. “Smartphone based Automatic Abnormality Detection of Kidney in Ultrasound Images" 2016 IEEE 18th International Conference on e- Health Networking, Applications and Services (Healthcom), 2016, pp. 1-6, Munich, Germany.
  • Pradeep Kumar Mishra, R Bharath, P Rajalakshmi, Uday B Desai. “Compressive Sensing Ultrasound Beamformed Imaging In Time and Frequency Domain", 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), 2015, pp. 523- 527, Boston, MA.
  • M Srinivas, R Bharath, P Rajalakshmi, C KrishnaMohan. “Multi-level Classification : A Generic Classification Method for Medical Datasets", 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), 2015, pp. 262-267, Boston, MA.
  • R Bharath, Dusa Chandrashekar, Vivek Akkala, Divya Krishna, Harsha Ponduri, P Rajalakshmi, Uday B Desai. “Portable Ultrasound Scanner for Remote Diagnosis", 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), 2015, pp. 211-216, Boston, MA.
  • M Srinivas, R Bharath, P Rajalakshmi, C Krishna Mohan, “Sparse land Model for Speckle Suppression of B-mode Ultrasound images", Communications (NCC), Twenty First National Conference on, pp.1,6, Feb. 27 2015, Mumbai, India.
  • Krishna, K.D., Akkala, V., R Bharath, P Rajalakshmi, Mohammed, A.M. “FPGA based preliminary CAD for Kidney on IoT enabled Portable Ultrasound Imaging System", IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom), 2014, pp. 257-261, Natal, Brazil.
  • R Bharath, Vivek.A, Punitkumar, P Rajalakshmi, “FPGA based Implementation of Low Complex Adaptive Speckle Suppression Filter for B-mode Ultrasound images", IECBES 2014 IEEE Conference on, pp.545-550, 8-10 Dec. 2014, Kuala Lumpur, Malaysia.
  • Akkala Vivek, R Bharath, P Rajalakshmi, P Kumar, “Compression Techniques for IoT Enabled Handheld Ultrasound Imaging System", Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on, pp. 648-652, Dec. 2014, Malaysia.
  • R Bharath, P Rajalakshmi, “Automatic Organ Validation of B-mode Ultrasound Images to cloud", Advances in Computing, Communications and Informatics (ICACCI), International Conference on, pp.479-482, 24-27 Sept. 2014, New Delhi, India.
  • R Bharath, P Rajalakshmi, “Fast Region of Interest Detection for Fetal Genital Organs in B- mode Ultrasound Images", Bio signals and Bio robotics Conference: Bio signals and Robotics for Better and Safer Living (BRC), ISSNIP-IEEE, pp.1-5. IEEE, 26-28 May, 2014, Salvador, Brazil.

Awards and Achievements

  • Awarded best paper for the research article “Implementation of Diagnostically Driven Compression Algorithms Via WebRTC for IoT Enabled Tele-sonography" IEEE IECBES, Kuala Lumpur, Malaysia-2016
  • Awarded outstanding paper for the research article “Novel Computer-Aided Diagnosis Framework Using Deep Learning for Classification of Fatty Liver Disease in Imaging" IEEE Healthcom, Ostrava, Czech Republic-2018
  • Runner up in Global Conference on Cyber Space (GCCS), 2017 Hackathon
  • Awarded travel grant by DST to attend the conference EMBC-2018, Hawaii, USA