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Dr. Bipin P. R.
Associate Professor
Dr. Bipin P. R.
Areas of Interest : Image Processing, Deep Learning, IOT
  • Email : bipin.ec@adishankara.ac.in
  • Designation : Associate Professor
  • Mobile No : 9656128850
  • Date Of joining : 16-09-2019

Dr. Bipin P.R.

Qualification Details

 

DEGREE INSTITUTION/UNIVERSITY YEAR
Ph. D (Signal Processing) VTU Belgaum 2018
M.E. (Communication Systems) Anna University, Chennai 2009
B.E. (ECE) Anna University, Chennai 2006
Diploma (Electronics) Govt. Polytechnic, Kothamangalam 2002

 

Ph.D Guideship: APJ KTU Approved Ph.D Guide (Area: Signal/Image Processing, Machine Learning, Deep Learning

 

Experience

1. Worked as Component Engineer at  Adarsh Solutions Pvt. Ltd, Bangalore, 2006-2007

2.  Worked as Senior Lecturer at Adishankara Institute of Engg. & Tech., Kalady from 01-01-2009 to 17-07-2010

3. Worked as Associate Professor at Ilahia College of Engg. & Tech., Mulavoor, Muvattupuzha from 19-07-2010 to 16/09/2019

4. Currently working as Associate Professor at Adishankara Institute of Engg. & Tech., Kalady since 16/09/2019.

Publications Details
  1. Journal of Ambient Intelligence and Humanized Computing(Springer), Exploitation whale optimization based optimal offloading approach and topology optimization in a mobile ad hoc cloud environment, https://doi.org/10.1007/s12652-021-02945-z, March 2021, SCIE Indexed

  2. Neural Processing Letters (Springer), Super-Resolution Based Automatic Diagnosis of Retinal Disease  for Clinical Applications, https://doi.org/10.1007 /s11063-020-10292-x,July 2020, SCIE Indexed

  3. Journal of Medical Systems (Springer), Medical Image Enhancement by a Bilateral Filter using Optimization Technique, https://doi.org/10.1007/s10916-019-1370-x, 1573-689X, June 2019, SCIE Indexed

  4. Journal of Experimental & Theoretical Artificial Intelligence (Taylor & Francis), Spectral feature and Optimization- based Actor-Critic Neural Network for arrhythmia classification using ECG signal, ISSN: 1362-3079, https://doi.org/10.1080/0952813X.2019.1652355, June 2019, SCIE Indexed

  5. Advances in Intelligent Systems and Computing Series (Springer), A New Pre-distorter for Linearizing Power Amplifiers Using Adaptive Genetic Algorithm, ISSN 2194-5357, 2018, Scopus Indexed

  6. International Journal of Engineering Research & Technology (IJERT), Face Recognition Using Combined Features of DRLBP and SIFT Algorithms, ISSN: 2278-0181, Vol. 7 Issue 03, March-2018

  7. Lecture Notes in Networks and Systems (Springer), Efficient Pre-Distortion Power Amplifiers for OFDM Transmitters, ISBN 978-981-10-3811-2, 2017, Scopus Indexed

  8. Procedia Technology Journal (Elsevier), Linearization of High Power Amplifier Using Modified Artificial Bee Colony and Particle Swarm Optimization Algorithm, ISSN 2212-0173, 2016, Scopus Indexed

  9. International Journal of Scientific Engineering and Technology Research,A New Pre-Distorter for Linearizing Power Amplifiers, ISBN 2319-8885, Vol.06, pp.1293-97, 2016

  10. IEEE International conference on emerging trends in Engineering technology and science, A Novel Predistorter Based on MPSO for Power Amplifier Linearization, Kings college of engineering, Thanjavur, 2016, Scopus Indexed

  11. A Novel Predistorter for Power Amplifier Using Flower Pollination Algorithm, International Conference on New Frontiers in Science Engineering & Technology ICNFSET ’15, AWH Engineering College, Kozhikode, 2016

  12. Improved Firefly Algorithm based Predistorter for Memory Power Amplifier, International conference on recent advancement & challenges in engineering, Jai Bharath college of management and engineering technology, Perumbavoor, OCTOBER 3, 2015.

  13. IEEE 4th International conference on communication and signal processing,Pre-distortion of non-linear power amplifiers using ABC and PSO algorithms,Adiparasakthi College of Engineering, Melmaravathur, April 2015, Scopus Indexed

  14. Comparison of Various Techniques for Power Amplifier Linearization- NTECC-14, ICET Muvattupuzha, 25-26 April 2014

  15. International Journal of Electronics &Communication Engineering &  Technology, Modified Cann Model Linearisation Using ABC Algorithm, ISSN 0976 – 6472, 2013

  16. International Journal of Engineering Innovation & Research,Artificial Bee Colony for Pre-Distortion of Nonlinear Power Amplifier, Volume 2, Issue 6, ISSN: 2277 – 5668

  17. International Journal of Advancements in Research & Technology, Fault detection of Induction Motor using Envelope Analysis, Volume 2, Issue 7, ISSN: 2278-7763, 2013

  18. Rotor fault detection of induction motor using support vector machine, ICEECS-2013, Pune, 2013

  19. Presented a paper on “ Motion blur reduction in LCDs a signal processing approach” at Hindusthan college of engg&tech, coimbatore

  20. Presented a paper on “ LCD motion blur reduction”  at Anna university Coimbatore campus

  21. Presented a paper on “ Power amplifier linearization methods” at Ilahia college of engg&tech, muvattupuzha

Projects Undertaken

 

  1. Project name: Development of a Contactless Fog Computing based System for COVID’19 Detection and Continuous Cardiac Health Monitoring using Deep Learning, Funding Agency: RSM-APJKTU, Kerala, India, Status: Ongoing, Sanctioned Year: 2021

  2. Project name: Development of a Cardiac Health Monitoring System for COVID’19 patients using Deep Learning, Funding Agency: RSM-APJKTU, Kerala, India, Status: Ongoing, Sanctioned Year: 2021

  3. Project name: Development of a Remote Cardiac Health Monitoring System for COVID'19 Patients using Deep Learning, Funding Agency: CERD-APJKTU, Kerala, India, Status: Ongoing, Sanctioned, Year: 2021
  4. Project name: MONI-Fi, Funding Agency: Kothamangalam Agriculture Producer Company Ltd, Kavalangadu, Kothamangalam, Kerala, India, Status: Completed, Sanctioned Year: 2016

Short Term Courses Attended
  1. Completed a course on "Convolutional Neural Networks" by Coursera, July 2020
  2. Completed a course on "AI for Medical Diagnosis" by Coursera, July 2020
  3. Completed a project "Covid’19 Data Analysis Using Python” by Coursera on 26 June 2020
  4. Attended a 5 day online STTP on “IOT and its Application in Industry” organized by RAIT, Navi Mumbai on 8-12 June 2020
  5. Attended a 5 Day FDP on “Pioneering AI Technology – A Case Study Approach” organized by DSU, Bengaluru 22-26 June 2020
  6. Attended a 5 day online National FDP on “Applications of Machine Learning and Deep Learning” organized by RKGIT, ghaziabadu (UP) on 24-28 June 2020
  7. Three day KTU FDP on Emerging Trends in VLSI and Embedded Systems, Jyothi Engineering College, Cheruthuruthi, 10-12 July 2019
  8. One weak KTU FDP on Interactive Learning Modules for Innovative Pedagogy in Circuits and Electronics, VimalJyothi Engineering College, Kannur, 27-31May 2019
  9. Five day workshop on Deep Learning, CUSAT, Cochin 19-23 February 2019
  10. Five day Quality Improvement Program on NBA Accreditation Process, NITTTR- MHRD India, 21-25 January 2019
  11. Two day workshop on Preparedness for Accreditation by NBA, College of Engineering, Thalassery, 14-15 December 2017
  12. Three day workshop on Research Methodologies and Latex, VTU e-learning Centre, Mysore, 9-11 September,2014