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Rajesh C. B.

Assistant Professor (Sr. Gr), Electronics and Communication Engineering, School of Engineering, Coimbatore

Qualification: M.Tech.
cb_rajesh@cb.amrita.edu
Research Interest: Embedded Systems, Image Processing, Very-Large-Scale Integration (VLSI)

Bio Publications Education Professional Experience Academic Workshops /Conferences Achievements
Bio

Rajesh C. B. currently serves as Assistant Professor (Sr. Gr.) at Department of Electronics and Communication Engineering, School of Engineering, Coimbatore Campus. He joined Amrita, Coimbatore Campus in 2008 and has more than 9 and half years service in Amrita. His areas of research include Embedded Systems and Image Processing.

 

Publications

Conference Paper

Year : 2025

Precision Data Collection for Enhanced Agricultural and Environmental Monitoring Using LoRa Communication

Cite this Research Publication : Praneeth R, Arjun V A, Sneha P, Rajesh C B, Precision Data Collection for Enhanced Agricultural and Environmental Monitoring Using LoRa Communication, 2025 7th International Conference on Energy, Power and Environment (ICEPE), IEEE, 2025, https://doi.org/10.1109/icepe65965.2025.11139591

Publisher : IEEE

Year : 2024

Groundnut Crop Disease Detection Using Learning Rate Annealing Methods

Cite this Research Publication : B. B. S. H. Vardhan, H. Paluvadi, V. K. S. Srihari and R. C B, "Groundnut Crop Disease Detection Using Learning Rate Annealing Methods," 2024 IEEE North Karnataka Subsection Flagship International Conference (NKCon), Bagalkote, India, 2024, pp. 1-7, doi: 10.1109/NKCon62728.2024.10774913.

Publisher : IEEE

Year : 2024

Plant Disease Detection using Feature Fusion

Cite this Research Publication : D. Kakarla, S. Putta, S. Chitraksh, V. Charan and R. C B, "Plant Disease Detection using Feature Fusion," 2024 6th International Conference on Energy, Power and Environment (ICEPE), Shillong, India, 2024, pp. 1-6, doi: 10.1109/ICEPE63236.2024.10668914.

Publisher : IEEE

Year : 2022

Model Validation to Enhance Precision Agriculture Using DeepDream and Gradient Mapping Techniques

Cite this Research Publication :

Publisher : Inventive Communication and Computational Technologies

Year : 2022

Design of an Efficient Mobile Communication and an Armament System for Women Safety

Cite this Research Publication : Design of an Efficient Mobile Communication and an Armament System for Women Safety, Sesha S. Sankar, Valavala Sandeep, K. S. Viswesh, S. Vigneshwar & C. B. Rajesh, Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 903), 2022

Publisher : Part of the Lecture Notes in Electrical Engineering book series (LNEE)

Year : 2022

Hurdle Dodging Robot Using Lidar with a Built-On Gas Detection System

Cite this Research Publication : Ragavendra, B.M., Gogul Sriman, R., Saiganesh, H., Saileswar, K.S., Santhanakrishnan, R., Rajesh, C.B. (2022). Hurdle Dodging Robot Using Lidar with a Built-On Gas Detection System. In: Ranganathan, G., Fernando, X., Shi, F. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 311. Springer, Singapore.

Publisher : Springer

Year : 2022

Implementation of Machine learning Algorithms to Identify Freshness of Fruits

Cite this Research Publication : 'Implementation of Machine learning Algorithms to Identify Freshness of Fruits’ in IEEE International Conference on “INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES (ICICICT-2022)” on Aug 12th,2022.

Publisher : ICICICT-2022

Year : 2021

Modelling the minislump spread of superplasticized PPC paste using Random forest, decision tree and multiple linear regression

Cite this Research Publication : Sathyan, Dhanya & K B, Anand & Jose, Chinnu & Aravind, N. (2018). Modelling the minislump spread of superplasticized PPC paste using RLS with the application of Random Kitchen sink. IOP Conference Series: Materials Science and Engineering. 310. 012035. 10.1088/1757-899X/310/1/012035.

Publisher : IOP

Year : 2016

Improving the Performance of Cardiac Abnormality Detection from PCG Signal

Cite this Research Publication : N. R. Sujit, Dr. Santhosh Kumar C., and Rajesh C. B., “Improving the Performance of Cardiac Abnormality Detection from PCG Signal”, in AIP Conference Proceedings, 2016, vol. 1715.

Publisher : AIP Conference Proceedings, American Institute of Physics Inc.

Year : 2010

Differential Power Analysis on FPGA Implementation of MICKEY 128

Cite this Research Publication : S. Sandeep and Rajesh C. B., “Differential Power Analysis on FPGA Implementation of MICKEY 128”, in Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, Chengdu, 2010, vol. 9, pp. 667-671.

Publisher : ICCSIT 2010

Conference Proceedings

Year : 2024

Disease Detection in Groundnut Crop Using Deep Learning Models

Cite this Research Publication : Bojja Bala Sai Harsha Vardhan, Hitesh Paluvadi, Vasudha Karthikeya Sai Srihari, Rajesh C B, Disease Detection in Groundnut Crop Using Deep Learning Models, 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP), 2024.

Publisher : IEEE

Year : 2024

Comparative Analysis of CNN Models’ Accuracy Using Synthetic and Original Datasets for Cotton Leaf Classification

Cite this Research Publication : Pujiita Srieya Bolisetty, Lakkshmi Yogesh N A, Siva Dhanush Kosuri, Puppala Sravan, Sivaraju Venkata Sai Karthik, Rajesh C.B, Comparative Analysis of CNN Models' Accuracy Using Synthetic and Original Datasets for Cotton Leaf Classification, 4th International Conference on Artificial Intelligence and Signal Processing (AISP), 2024.

Publisher : IEEE

Year : 2024

Prediction of Cardiovascular Disease from Retinal Images using Deep Learning

Cite this Research Publication : Harika G T S, Harsha Sai K, Abhiram P, Uday Kumar E V, Rajesh C B, Prediction of Cardiovascular Disease from Retinal Images using Deep Learning, 4th International Conference on Artificial Intelligence and Signal Processing (AISP), 2024.

Publisher : IEEE

Year : 2024

Accuracy Analysis of Various CNN Models with Synthetic and Original Dataset for Cotton leaf

Cite this Research Publication : Lakkshmi Yogesh N A, Shreyas S; Rajesh C. B; Bharathraj G; Sanjay Prasanth A S "Accuracy Analysis of Various CNN Models with Synthetic and Original Dataset for Cotton leaf", Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE), 2024

Publisher : IEEE

Year : 2022

Implementation of Machine learning Algorithms to Identify Freshness of Fruits

Cite this Research Publication : Shanmukha Sai Rohit Mamidi; Chandra Akhil Munaganuri; Thanuja Gollapalli; Andra Tejo Venkata Sai Aditya; Rajesh C. B, Implementation of Machine learning Algorithms to Identify Freshness of Fruits, 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)

Publisher : IEEE

Year : 2022

Deep Learning Model to Enhance Precision Agriculture using Superpixel

Cite this Research Publication : Jai Vignesh P S; Kaliswar Adhish R; Rithik R; S Sanjeev; C.B. Rajesh, Deep Learning Model to Enhance Precision Agriculture using Superpixel, 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)

Publisher : IEEE

Year : 2014

Low-Complexity Systolic Design for Finite Field Multiplier

Cite this Research Publication : T. P. Rajalakshmi and Rajesh C. B., “Low-Complexity Systolic Design for Finite Field Multiplier”, International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), 2014. 2014.

Publisher : ICGCCEE

Journal Article

Year : 2023

In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape

Cite this Research Publication : C.B. Rajesh,C. V. S. S. Manohar Kumar,Sudhanshu Shekhar Jha,K.I. Ramachandran,Rama Rao Nidamanuri, In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape.

Publisher : Elsevier

Year : 2023

Generating Synthetic Dataset for Cotton Leaf using DCGAN

Cite this Research Publication : L. Y. N. A, B. G, S. P. A. S, S. S and R. C. B, "Generating Synthetic Dataset for Cotton Leaf using DCGAN," 2023 4th International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, 2023, pp. 249-252, doi: 10.1109/ICSPC57692.2023.10126067.

Publisher : IEEE

Year : 2021

Analysing Effect of t-SNE and 1-D CNN on Performance of Hyperspectral Image Classification

Cite this Research Publication : Hariharan S, Dakshin T K, Vijayaraghav K, Vignesh M, Rajesh C.B., Analysing Effect of t-SNE and 1-D CNN on Performance of Hyperspectral Image Classification, Turkish Journal of Computer and Mathematics Education, Vol.12 No.6 (2021), 1828-1833

Publisher : Turkish Journal of Computer and Mathematics Education

Year : 2021

Modelling the Rheological Properties of Fly Ash Incorporated Superplasticized Cement Paste at Different Temperature Using Multilayer Perceptrons in Tensorflow

Cite this Research Publication : R. C. Robert, Kuriakose, N. Mani, Gopikrishnan, K., Dhanya Sathyan, and Rajesh, C. B., “Modelling the Rheological Properties of Fly Ash Incorporated Superplasticized Cement Paste at Different Temperature Using Multilayer Perceptrons in Tensorflow”, Proceedings of SECON 2020, 2021.

Publisher : Proceedings of SECON 2020, Springer International Publishing

Year : 2020

Modelling the shear flow behaviour of cement paste using machine learning-XGBoost

Cite this Research Publication : Dhanya Sathyan, Govind, D., Rajesh, C. B., Gopikrishnan, K., G Kannan, A., and Mahadevan, J., “Modelling the shear flow behaviour of cement paste using machine learning-XGBoost”, Journal of Physics: Conference Series, vol. 1451, 2020.

Publisher : Journal of Physics: Conference Series

Year : 2018

Classification of Arrhythmia using Wavelet Transform and Neural Network Model

Cite this Research Publication : S. A., M., H. Sundar, S., S., Nithin M., and Rajesh C. B., “Classification of Arrhythmia using Wavelet Transform and Neural Network Model”, Journal of Bioengineering & Biomedical Science, vol. 8, no. 1, p. 244, 2018.

Publisher : Journal of Bioengineering & Biomedical Science.

Education
  • Pursuing: Ph. D. in Hyperspectral Image Processing
    Amrita Vishwa Vidyapeetham
  • 2005: Digital Electronics and Communication
    VTU/NMAMIT ,NITTE Karnataka
  • 2002: B. Tech. in Electronics Engineering
    Govt.Model Engineering College Ernakulam/ CUSAT
Professional Experience
Year Affiliation
July 2013 – Present Assistant Professor (Sr.Gr.), Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham
Domain : Teaching, Class Advisor, Guiding Student Projects etc
July 1, 2011 – June 30, 2013 Assistant Professor, Amrita Vishwa Vidyapeetham
Domain :Teaching, Class Advisor, Guiding Student Projects etc
December 1, 2008 – June 30, 2011 Lecturer, Amrita Vishwa Vidyapeetham
Domain : Teaching, Class Advisor, Guiding Student Projects
July 25, 2005 – November 20, 2008 Lecturer, SNGCE Kadayiruppu,Kolencherry
Domain : Teaching,councilling
July 24, 2003 – September 18, 2003 Lecturer, College of Engineering, Poonjar
Domain : Teaching,councilling

Undergraduate Courses Handled

Academic Year Semester Name of the Subject Taught Tutorial/ Lab. Assistance/ Other Courses
Theory Practical
2018-2019 ODD Microprocessor and Microcontroller,Electronics Circuits I Microprocessor and Microcontroller Lab,Electronic Workshop Microprocessor and Microcontroller
2017-2018 Even Microprocessor and Microcontroller Microprocessor and Microcontroller Lab,Electronic Workshop Microprocessor and Microcontroller
ODD Embedded Systems Microprocessor and Microcontroller Lab,Electronic Workshop,Digital Systems Lab Embedded Systems
2016-2017 ODD Microprocessors,Introduction to microcontrollers and its applications Microprocessor and Microcontroller Lab,Electronic Workshop
EVEN Image Processing,Seminar Microprocessor and Microcontroller Lab,Electronic Workshop
2015-2016 ODD Introduction to Microcontrollers and its applications Microcontroller Lab,Electronic Workshop
Even Introduction to Embedded Systems Embedded Systems Lab

Post-Graduate / PhD Courses Handled

  1. Embedded Systems (VLSI Design)
  2. Embedded Systems and DSP Architecture(VLSI Design)
Academic

Academic Responsibilities

SNo Position Class / Batch Responsibility
1. Class Adviser 2009 – 2013 ECE C Batch,2015 ECE B-Batch Continuing All the responsibilities related to that particular class (Councilling, Identifying the weak students, bridge the gap between the students and the subject handling faculties.)

 

Academic Research – PG Projects

SNo Name of the Scholar Programme Specialization Duration Status
1. SUJIT N R VLSI Design Testing and Verification 2014-15 Completed
2. RAJALAKSHMI T P VLSI Design Testing and Verification 2013-14 Completed
3 SANDEEP S VLSI Design Testing and Verification 2009-10 Completed
Workshops /Conferences

Participation in Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period Outcome
1. Geoconnect 2018 “Advanced remote sensing technologies : Hyperspectral and LiDAR” IIST Trivandrum June 11 – 14, 2018 The workshop gave a good introduction to the field of hyper spectral image analysis and LiDar. This workshop was useful for more research openings .
2. 3DPCM : LiDAR point cloud processing with LAStools.One day workshop with hands-on training on 3D LiDAR point cloud processing and visualization with LAStools IIST Trivandrum October 12, 2017 The workshop gave a good introduction to point cloud processing with LAStools.One day workshop with hands-on training on 3D LiDAR point cloud processing and visualization with LAStools
3 Signals and Systems(BMWEE210x) IIT Bombay in blended mode July16, 2015 to December 18, 2015 To make aware the basic requirements of signals and systems course.
4 TA101 VERIFICATION COURSE ITAA July 9 – 10, 2015 Awareness in Teaching and learning.

Organizing Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period Outcome
1. ISRO Sponsored National Seminar onTechniques and Applications of Hyperspectral Image Analysis Amrita Vishwa Vidyapeetham University April 19-20, 2016 The seminar gave a good introduction to the field of hyper spectral image analysis, along with an insight into rich applications. This seminar was useful for more research openings and opportunities
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