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Dr. Anand R.

Assistant Professor, Department of Electrical and Electronics Engineering , School of Engineering, Coimbatore.

Qualification: M.Tech., Ph.D
r_anand2@cb.amrita.edu
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Research Interest: Signal and Image Processing, Deep Learning, Hyperspectral Image Processing, Machine Learning, Pattern Classification

Bio Publications Experience Reviewer Invited Talks Awards Research
Bio

Dr. Anand R joined the in 2023 after completing completed PhD in Optimization band selection for hyperspectral remote sensing from Amrita Vishwa Vidyapeetham and RRSC, ISRO, Bangalore. He is currently pursuing AICTE QIP SPONSORED PG (Diploma Program) on Data science and Quantum Computing at Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior.  He Completed M.Tech in Communication Engineering and Signal processing from Amrita School of Engineering, Coimbatore. His broad research area is Signal and Image Analysis and hyperspectral image. The sub-areas of his research interests include Machine and deep learning for signal and image processing.

Publications

Journal Article

Year : 2024

An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators

Cite this Research Publication : Anand, R. (2024). An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators. Evolving Systems, 15(1), 83-97.

Publisher : Springer Nature Link

Year : 2024

Flower pollination optimization based hyperspectral band selection using modified wavelet Gabor deep filter neural network

Cite this Research Publication : Anand, R., Samiappan, S (2024). Flower pollination optimization based hyperspectral band selection using modified wavelet Gabor deep filter neural network. Infrared Physics & Technology, 105215.

Publisher : Elsevier

Year : 2024

Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging

Cite this Research Publication : Aravinth, J., Anand, R., & Samiappan, S. (2024). Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging. Digital Signal Processing, 155, 104740.

Publisher : Elsevier

Year : 2024

Fine-tuning digital FIR filters with gray wolf optimization for peak performance

Cite this Research Publication : Anand, R., Samiappan, S., & Prabukumar, M. (2024). Fine-tuning digital FIR filters with gray wolf optimization for peak performance. Scientific Reports, 14.

Publisher : Scientific Reports

Year : 2024

Optimizing Land Mine Detection Across Diverse Mining Environments: A Hyperspectral Data Approach with Regression Models

Cite this Research Publication : Anand, R., Andrew, J., & Makki, I. (2024). Optimizing Land Mine Detection Across Diverse Mining Environments: A Hyperspectral Data Approach with Regression Models. International Journal of Intelligent Networks.

Year : 2023

Assessing Soil Nutrient Content and Mapping in Tropical Tamil Nadu, India, through Precursors IperSpettrale Della Mission Applicative Hyperspectral Spectroscopy

Cite this Research Publication : Anand, R & Subramoniam, R. (2023). Assessing Soil Nutrient Content and Mapping in Tropical Tamil Nadu, India, through Precursors IperSpettrale Della Mission Applicative Hyperspectral Spectroscopy. Applied Sciences, 14(1), 186.

Publisher : MDPI

Year : 2022

Airborne hyperspectral imagery for band selection using moth–flame metaheuristic optimization

Cite this Research Publication : Anand, R., Samiaappan, S., Veni, S., Worch, E., & Zhou, M. (2022). Airborne hyperspectral imagery for band selection using moth–flame metaheuristic optimization. Journal of Imaging, 8(5), 126.

Year : 2021

Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images

Cite this Research Publication : Anand, R., Sowmya, V., Menon, V., Gopalakrishnan, A., & Soman, K. P. (2021). Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images. Biomedical and Biotechnology Research Journal (BBRJ), 5(1), 43-49.

Year : 2021

Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms

Cite this Research Publication : Anand, R., Veni, S., Geetha, P., & Subramoniam, S. R. (2021). Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms. International Journal of Intelligent Networks, 2, 1-6.

Year : 2021

Robust classification technique for hyperspectral images based on 3D-discrete wavelet transform

Cite this Research Publication : Anand, R., Veni, S., & Aravinth, J. (2021). Robust classification technique for hyperspectral images based on 3D-discrete wavelet transform. Remote Sensing, 13(7), 1255.

Conference Paper

Year : 2022

Based Airborne Hyperspectral Image Classification with Extended Morphological Profiles Features

Cite this Research Publication : Anand, R., Veni, S., & Geetha, P. (2022). Hybrid 3D-CNN Based Airborne Hyperspectral Image Classification with Extended Morphological Profiles Features. In Modeling, Simulation and Optimization: Proceedings of CoMSO 2021 (pp. 511-522). Singapore: Springer Nature Singapore.

Publisher : SpringerLink

Year : 2021

A Robust Approach Using Fuzzy Logic for the Calories Evaluation of Fruits

Cite this Research Publication : Veni, S., Sameera, A. K., Samuktha, V., & Anand, R. (2021, August). A Robust Approach Using Fuzzy Logic for the Calories Evaluation of Fruits. In 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 738-744). IEEE.

Publisher : IEEE

Year : 2021

Lidar Based Lane-Change Assistance For Motor Vehicle

Cite this Research Publication : Veni, S., Anand, R., Mohan, D., & Sreevidya, P. (2021, March). Lidar Based Lane-Change Assistance For Motor Vehicle. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 248-254). IEEE.

Publisher : IEEE

Year : 2021

Leaf recognition and disease detection using content based image retrieval

Cite this Research Publication : Veni, S., Anand, R., Mohan, D., & Sreevidya, P. (2021, March). Leaf recognition and disease detection using content based image retrieval. In 2021 7th international conference on advanced computing and communication systems (ICACCS) (Vol. 1, pp. 243-247). IEEE.

Publisher : IEEE

Year : 2020

Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone

Cite this Research Publication : S. Veni, Anand, R., and Vivek, D., “Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone”, in Soft Computing for Problem Solving, Singapore, 2020.

Publisher : Springer Singapore

Year : 2017

Implementation of noise cancellation using least mean square in GNU radio

Cite this Research Publication : R. K Kumar, Anand, R., and Gandhiraj R., “Implementation of noise cancellation using least mean square in GNU radio”, in 2017 IEEE International Conference on Computer Communication and Informatics (ICCCI 2017), Coimbatore, 2017.

Publisher : 2017 IEEE International Conference on Computer Communication and Informatics

Year : 2017

Big Data Challenges in Airborne Hyperspectral Image for Urban Landuse Classification

Cite this Research Publication : R. Anand, S. Veni, and Aravinth J., “Big Data Challenges in Airborne Hyperspectral Image for Urban Landuse Classification”, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). pp. 1808-1814, 2017.

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Year : 2016

An Application of image processing techniques for Detection of Diseases on Brinjal Leaves Using K-Means Clustering Method

Cite this Research Publication : Anand R, S. Veni, and Aravinth J., “An Application of image processing techniques for Detection of Diseases on Brinjal Leaves Using K-Means Clustering Method(2016)”, Fifth International Conference on Recent Trends in Information Technology 2016 (ICRTIT 2016). Anna University, Chennai campus , 2016.

Publisher : Fifth International Conference on Recent Trends in Information Technology 2016 (ICRTIT 2016), Anna University, Chennai campus.

Book Chapter

Year : 2022

Initial Stage Identification of COVID-19 Using Capsule Networks

Cite this Research Publication : Ganesan, S., Anand, R., Sowmya, V., & Soman, K. P. (2022). Initial Stage Identification of COVID-19 Using Capsule Networks. In Smart Computer Vision (pp. 203-222). Cham: Springer International Publishing.

Publisher : SpringerLink

Year : 2021

Road accident detection and severity determination from CCTV surveillance

Cite this Research Publication : Veni, S., Anand, R., & Santosh, B. (2021). Road accident detection and severity determination from CCTV surveillance. In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2020 (pp. 247-256). Springer Singapore.

Publisher : SpringerLink

Experience

Professional Experience

  • Machine learning Engineer at Pixuate, Bangalore (November 2016 to July 2017).
  • Assistant Professor, Department of ECE, Sona College of Technology, Salem (July 2017 to June 2022).
  • Assistant Professor, Department of ECE, Sri Eshwar College of Engineering, Coimbatore (July 2022 to July 2023).
  • Assistant Professor, Department of EEE, Amrita Vishwa Vidyapeetham, Coimbatore (August 2023 to till date).

Professional Members

  • IEEE
  • ISTE
  • IUPRAI
Reviewer
  • IET Image Processing
  • Signal and Image Processing
  • Wireless Networks
  • Helyion
  • International journal of intelligent networks
  • Current genomics etc.,
  • MDPI Journals
Invited Talks
  • Delivered a session on “Hyperspectral Image Analysis Using Deep Learning with Python and MATLAB” on 26th November 2024, organized by CMR Institute of Technology, Bengaluru, India.
  • Delivered a session on “Introduction to Hyperspectral Image Analysis” on 23rd September 2024, organized by Nehru College of Engineering and Research Centre, Palakkad.
  • Delivered a session on “Applications of Drones in Precision Agriculture – Remote Sensing, Image Processing, and Analysis” on 4th September 2024, organized by Sri Eshwar College of Engineering, Coimbatore.
  • Delivered a session on “Data Structures and Algorithms” on 25th April 2024, organized by PSG College of Technology, Coimbatore.
  • Delivered a session on “Machine Learning with oneAPI” on 24th February 2024, organized by PSG College of Technology, Coimbatore.
  • Delivered a session on “Impact of Artificial Intelligence on Innovation” on 12th August 2023, organized by Sri Krishna College of Engineering and Technology, Coimbatore.
  • Delivered a session on “Airborne Hyperspectral Image Analysis” in November 2022, organized by Jawaharlal College of Engineering and Technology, Palakkad.
Workshop
  • Conducted an IIT-Tirupati Navavishkar (IITTNiF)-sponsored two-day workshop on “Hyperspectral Image Analysis Using Machine Learning Algorithms” on 29th and 30th January 2024, with a grant of ₹1,00,000 received.
Awards
  • Received Best department Researcher award on 2022-2023 .
Research
PhD Research Scholar
Sl No Roll Number Name Type
1 CB.EN.R4EEE23003 Nithinkumar K V Part Time
2 CB.EN.R4EEE24007 Nithin Joe Part Time
3 CB.EN.R4EEE24008 Rachel Stefna Angeline A Full Time
4 CB.EN.R4EEE24003 Mariam M Kassim Full Time
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