Back close

Dr. Anand R.

Assistant Professor (Sr. Gd.), Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

Qualification: M.Tech, Ph.D
r_anand2@cb.amrita.edu
Orcid Profile
Google Scholar Profile
Scopus Author ID
Research Interest: Signal and Image Processing, Deep Learning, Hyperspectral Image Processing, Machine Learning, Quantum Processing.

Bio

Dr. Anand R is an Assistant Professor (Senior Grade) in the Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. He earned his Ph.D. from Amrita Vishwa Vidyapeetham in collaboration with RRSC, ISRO, Bangalore, with a thesis on optimization-based band selection for airborne hyperspectral imagery. He also holds an M.Tech. in Communication Engineering and Signal Processing from Amrita and a B.Tech. in Electronics and Communication Engineering from Kongu Engineering College. More recently, he completed an AICTE QIP-sponsored PG program in Data Science and Quantum Computing at ABV-IIITM, Gwalior.

He has nearly a decade of academic and industry experience. He began as a Machine Learning Engineer at Pixuate, Bangalore, His research covers hyperspectral remote sensing, signal and image processing, machine and deep learning, nature-inspired optimization and quantum signal processing. Recent work applies these to precision agriculture, soil nutrient estimation, environmental monitoring and biomedical signal analysis.

Dr. Anand has published in journals including IEEE JSTARS, IEEE GRSL, IEEE Access, SN Computer Science, Digital Signal Processing and Infrared Physics & Technology. His work has over 1,200 Scopus citations and a Scopus h-index of 17. He is listed among the World’s Top 2% Scientists (Stanford–Elsevier) for 2025 and 2026, and he received the Young Scientist Award under the CORE Research Excellence Awards 2026 from Desh Bhagat University. He currently guides four Ph.D. scholars and mentors a postdoctoral fellow. He has brought in sponsored research, workshop and consultancy funding, including grants from IITTNiF. He regularly gives invited lectures at institutions such as NIT Jamshedpur, Anna University, TNAU and Government College of Technology, Coimbatore. He reviews for IEEE and MDPI journals and is a member of IEEE, ISTE and IUPRAI.

Publications

Journal Article

Year : 2026

Single-stage ensemble learning with LDAM loss and threshold tuning for imbalanced respiratory sound classification

Cite this Research Publication : Nithinkumar K V, Anand R, Single-stage ensemble learning with LDAM loss and threshold tuning for imbalanced respiratory sound classification, Results in Engineering, Elsevier BV, 2026, https://doi.org/10.1016/j.rineng.2026.111038

Publisher : Elsevier BV

Year : 2026

Optimized Hybrid Texture and Spectral Feature Selection Using Hippopotamus Optimization Algorithm in Hyperspectral Imaging

Cite this Research Publication : A. Rachel Stefna Angeline, R. Anand, Optimized Hybrid Texture and Spectral Feature Selection Using Hippopotamus Optimization Algorithm in Hyperspectral Imaging, SN Computer Science, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s42979-025-04700-z

Publisher : Springer Science and Business Media LLC

Year : 2026

Nature Inspired FIR Filter Optimization Using Chameleon Swarm Algorithm for Image Denoising

Cite this Research Publication : R. Anand, Nature Inspired FIR Filter Optimization Using Chameleon Swarm Algorithm for Image Denoising, SN Computer Science, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s42979-026-04971-0

Publisher : Springer Science and Business Media LLC

Year : 2026

Deep Spectral Feature Learning With Evolutionary Band Selection for Environmental Monitoring of Plastic Debris

Cite this Research Publication : R. Anand, Deep Spectral Feature Learning With Evolutionary Band Selection for Environmental Monitoring of Plastic Debris, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/access.2026.3678938

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2026

Edge-prioritization based multi-head attention in graph convolutional network for electrical resistance image reconstruction

Cite this Research Publication : Sathesh Ammaiappan, Anand Raju, Guanghui Liang, Awais Ahmed, Chao Tan, Feng Dong, Edge-prioritization based multi-head attention in graph convolutional network for electrical resistance image reconstruction, Measurement Science and Technology, IOP Publishing, 2026, https://doi.org/10.1088/1361-6501/ae59a9

Publisher : IOP Publishing

Year : 2026

Region Coherence-Aware Edge-Prioritized Attention Based Dual-Branch Graph Convolutional Fusion Network for Hyperspectral Image Classification

Cite this Research Publication : Sathesh Ammaiappan, Anand Raju, Guanghui Liang, Feng Li, Prabukumar M, Region Coherence-Aware Edge-Prioritized Attention Based Dual-Branch Graph Convolutional Fusion Network for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/jstars.2026.3720539

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2026

Improvised HOA-Optimized Hyperspectral Analysis of Moringa Oleifera Using Vegetation Indices and a GCN–GAT Network

Cite this Research Publication : Rachel Stefna Angeline A, Anand R, Improvised HOA-Optimized Hyperspectral Analysis of Moringa Oleifera Using Vegetation Indices and a GCN–GAT Network, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/jstars.2026.3709691

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2026

A Deep Learning Model for Integrating Landsat-8 and Sentinel 2 Satellite Images to Improve the Spatiotemporal Fusion Network for Drought Monitoring

Cite this Research Publication : Aravinth J, Anand R, A Deep Learning Model for Integrating Landsat-8 and Sentinel 2 Satellite Images to Improve the Spatiotemporal Fusion Network for Drought Monitoring, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/jstars.2025.3637223

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2026

Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures

Cite this Research Publication : Nithinkumar, K. V., & Anand, R. (2026). Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures. Computer Methods and Programs in Biomedicine Update, 100227.

Year : 2026

Hyperspectral Imagery-Based Precision Monitoring of Corn Phenological Stages Using DOA-Wavelet-CNN and Ensemble Pixel Augmentation

Cite this Research Publication : R. Anand, Hyperspectral Imagery-Based Precision Monitoring of Corn Phenological Stages Using DOA-Wavelet-CNN and Ensemble Pixel Augmentation, SN Computer Science, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s42979-025-04678-8

Publisher : Springer Science and Business Media LLC

Year : 2026

Branch-and-Bound Compressive Learning and Reconstruction of Hyperspectral Data With Deep Tucker Decomposition Using Spatial–Spectral Learning Network

Cite this Research Publication : Aravinth J, Anand R, Sankaran Rajendran, Branch-and-Bound Compressive Learning and Reconstruction of Hyperspectral Data With Deep Tucker Decomposition Using Spatial–Spectral Learning Network, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/access.2026.3652604

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Battle Royale Optimization for Optimal Band Selection in Predicting Soil Nutrients Using Visible and Near-Infrared Reflectance Spectroscopy and PLSR Algorithm

Cite this Research Publication : Jagadeeswaran Ramasamy, Anand Raju, Kavitha Krishnasamy Ranganathan, Muthumanickam Dhanaraju, Backiyathu Saliha, Kumaraperumal Ramalingam, Sathishkumar Samiappan, Battle Royale Optimization for Optimal Band Selection in Predicting Soil Nutrients Using Visible and Near-Infrared Reflectance Spectroscopy and PLSR Algorithm, Journal of Imaging, MDPI AG, 2025, https://doi.org/10.3390/jimaging11030083

Publisher : MDPI AG

Year : 2025

Feature Extraction in 5G Wireless Systems: A Quantum Cat Swarm and Wavelet-Based Approach

Cite this Research Publication : Anand Raju, Sathishkumar Samiappan, Feature Extraction in 5G Wireless Systems: A Quantum Cat Swarm and Wavelet-Based Approach, Future Internet, MDPI AG, 2025, https://doi.org/10.3390/fi17050188

Publisher : MDPI AG

Year : 2025

Soil Nutrient Estimation from Hyperspectral Data Using FOX-Based Band Selection and Machine Learning: A Case Study in Radhapuram, Tirunelveli, India, with PRISMA Applications

Cite this Research Publication : Anand Raju, Sudarshini Boopathy, Nivetha Karthi, Priyaranjan Saravanan, Raghavan Sudarsan, Sankaran Rajendran, Soil Nutrient Estimation from Hyperspectral Data Using FOX-Based Band Selection and Machine Learning: A Case Study in Radhapuram, Tirunelveli, India, with PRISMA Applications, AgriEngineering, MDPI AG, 2025, https://doi.org/10.3390/agriengineering7120428

Publisher : MDPI AG

Year : 2025

Quantum-Enhanced Soil Nutrient Estimation Exploiting Hyperspectral Data With Quantum Fourier Transform

Cite this Research Publication : Anand R, Quantum-Enhanced Soil Nutrient Estimation Exploiting Hyperspectral Data With Quantum Fourier Transform, IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/lgrs.2025.3591445

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Layered Resource Sharing for Distributed Computing in IoT Using Hybrid MILP-Chameleon Swarm Optimization

Cite this Research Publication : Sathishkumar Samiappan, Anand R, Layered Resource Sharing for Distributed Computing in IoT Using Hybrid MILP-Chameleon Swarm Optimization, Journal of Computational and Cognitive Engineering, BON VIEW PUBLISHING PTE, 2025, https://doi.org/10.47852/bonviewjcce52026865

Publisher : BON VIEW PUBLISHING PTE

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 : 2024

Comparative Analysis of A*, Dijkstra’s, and Breadth-First Search Algorithms: Evaluating Complexity, Optimality, and Efficiency in Shortest Pathfinding

Cite this Research Publication : Adithya S S, Harsh Jaishanker, Sai Ganesh S, Anand R, Comparative Analysis of A*, Dijkstra’s, and Breadth-First Search Algorithms: Evaluating Complexity, Optimality, and Efficiency in Shortest Pathfinding, 2024 Global Conference on Communications and Information Technologies (GCCIT), IEEE, 2024, https://doi.org/10.1109/gccit63234.2024.10862821

Publisher : IEEE

Year : 2024

Electric Vehicle Range Estimation and Optimization

Cite this Research Publication : Aravind S, B Aryan, R Adithya, Anand R, Electric Vehicle Range Estimation and Optimization, 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP), IEEE, 2024, https://doi.org/10.1109/aisp61711.2024.10870680

Publisher : IEEE

Year : 2024

Development and Implementation of a Smart Parking System in Coimbatore, Tamil Nadu: Enhancing Urban Mobility and Efficiency

Cite this Research Publication : Aswin S, Ruthra L, Sudheep Jashwanth G, Anand R, Development and Implementation of a Smart Parking System in Coimbatore, Tamil Nadu: Enhancing Urban Mobility and Efficiency, 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP), IEEE, 2024, https://doi.org/10.1109/aisp61711.2024.10870665

Publisher : IEEE

Year : 2022

Hybrid 3D-CNN 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 : Springer

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 : Veni, S., Anand, R., & Vivek, D. (2020). Driver assistance through geo-fencing, sign board detection and reporting using android smartphone. In Soft Computing for Problem Solving: SocProS 2018, Volume 2 (pp. 361-372). Springer Singapore.

Publisher : Springer

Year : 2017

Implementation of noise cancellation using least mean square in GNU radio

Cite this Research Publication : Kumar, K. R., Anand, R., & Gandhiraj, R. (2017, January). Implementation of noise cancellation using least mean square in GNU radio. In 2017 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-5). IEEE.

Publisher : IEEE

Year : 2017

Big Data Challenges in Airborne Hyperspectral Image for Urban Landuse Classification

Cite this Research Publication : Anand, R., Veni, S., & Aravinth, J. (2017, September). Big data challenges in airborne hyperspectral image for urban landuse classification. In 2017 international conference on advances in computing, communications and informatics (ICACCI) (pp. 1808-1814). IEEE.

Publisher : IEEE

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., Veni, S., & Aravinth, J. (2016, April). An application of image processing techniques for detection of diseases on brinjal leaves using k-means clustering method. In 2016 international conference on recent trends in information technology (ICRTIT) (pp. 1-6). IEEE.

Publisher : IEEE

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 2024).
  • Assistant Professor (Sr. Gd.), Department of EEE, Amrita Vishwa Vidyapeetham, Coimbatore (August 2025 to till date).

Professional Members

  • IEEE
  • ISTE
  • IUPRAI
Reviewer
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • SN Computer Science
  • IET Image Processing
  • Signal and Image Processing
  • Wireless Networks
  • Helyion
  • International Journal of Intelligent Networks Current Genomics etc.,
  • MDPI Journals
Invited Talks & Workshop

Invited Talks

2026

  • Hyperspectral data acquisition and processing – Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai
  • Training Session on Real Time Implementation of Signal Processing Applications on 9th March 2026, in the Tamil Nadu State Government sponsored Faculty Development Programme on “Competency Based Training in Embedded Signal Processing and IoT Applications”, organized by the Faculty Development Training Centre, Government College of Technology, Coimbatore.
  • Expert lecture and hands-on session (online) in the Faculty Development Program on “Underwater Robotics and Acoustic Communication Networks”, 25th May to 5th June 2026, organized by the National Institute of Technology (NIT) Jamshedpur.
  • Scientific Writing Workshop for postgraduate and doctoral students, 20–22 July 2026, organized by the Department of Remote Sensing and GIS, Centre for Water and Geospatial Studies, Tamil Nadu Agricultural University (TNAU), Coimbatore.

2025

  • Real-Time Hyperspectral Data Analytics with AI and Machine Learning – Anna University, Chennai.
  • MATLAB in Scholarly Research for Problem Formulation and Journal-Ready Results – Dr.N.G.P., Coimbatore.
  • Remote Sensing and GIS – KPR Institute of Engineering and Technology, Coimbatore.
  • Artificial Intelligence in Satellite Image Processing & Applications – CMR Institute of Technology, Bangalore.

2024

  • Hyperspectral Image Analysis Using Deep Learning with Python and MATLAB on 26th November 2024, organized by CMR Institute of Technology, Bengaluru, India.
  • Introduction to Hyperspectral Image Analysis on 23rd September 2024, organized by Nehru College of Engineering and Research Centre, Palakkad.
  • Applications of Drones in Precision Agriculture – Remote Sensing, Image Processing, and Analysis on 4th September 2024, organized by Sri Eshwar College of Engineering, Coimbatore.
  • Data Structures and Algorithms on 25th April 2024, organized by PSG College of Technology, Coimbatore.
  • Machine Learning with oneAPI on 24th February 2024, organized by PSG College of Technology, Coimbatore.

2023

  • Impact of Artificial Intelligence on Innovation on 12th August 2023, organized by Sri Krishna College of Engineering and Technology, Coimbatore.

2022

  • Airborne Hyperspectral Image Analysis in November 2022, organized by Jawaharlal College of Engineering and Technology, Palakkad.

Workshop

  1. Conducted a two-day Internship-Oriented Workshop and Industry Hackathon on “Industry-Oriented Machine Learning Techniques” in collaboration with Niqo Robotics on 26th and 27th February 2026, organized by the Department of EEE, Amrita School of Engineering, Coimbatore.
  2. Conducted an three-day Second National level workshop on “Remote Sensing Image Analysis using Machine learning” on 06th to 8th August 2025.
  3. 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 the “Young Scientist Award” under the CORE Research Excellence Awards 2026, organized by the Centre for Research Excellence (CORE), Desh Bhagat University, Mandi Gobindgarh, Punjab, on 18th September 2026.
  • Listed among the World’s Top 2% Scientists (Stanford–Elsevier) in 2025 and 2026.
  • 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

PDF

Sl No Name Type
1 Dr. Sathesh A. PDF
Admissions Apply Now