Departments
Admin

Dr. Anoop V.

Professor

Areas of Specialization

Signal and Image Processing
Artificial Intelligence and Machine Learning
Areas of Interest

Signal, Image and Speech Processing
Deep Learning
Cryptography and Network Security

Educational Summary


Course University Year
PhD-Signal Processing Visvesvaraya Technological University-Karnataka. 2017
M Tech-Communication Systems Anna University- Chennai 2008
B Tech-Electronics and Communication Engineering Cochin University of Science and Technology-Kerala 2005
PG Diploma in Artificial Intelligence and Machine Learning EC &I CT Academy-NIT Warangal 2023

Experience


From Date To Date Institution Name Designation
2020-11-01 continuing Jyothi Engineering College-Thrissur Professor
2018-06-27 2020-11-01 Jyothi Engineering College-Thrissur Associate Professor
2017-07-27 2018-06-25 Al-Ameen Engineering College-Shornur-2 Associate Professor and HOD
2011-06-15 2017-07-27 Al-Ameen Engineering College-Shornur-2 Associate Professor
2005-07-13 2010-11-08 Al-Ameen Engineering College-Shornur-2 Assistant Professor
2025-07-01 0000-00-00 Jyothi Engineering College-Thrissur Professor and Dean Academics

Achievements


Achievement Year
Fellow-IEI, Institution of Engineers-India 2026
Member-Board of Studies (Electronics and Communication Engineering) -APJ Abdul Kalam Technological university-Kerala 2021
Approved Ph.D. Supervisor of APJ Abdul Kalam Technological University- Kerala 2020
Associate Member, Institution of Engineers-India 2015
Life member - ISTE 2012

Papers Published


1. A Hybrid ConvNeXtV2–MaxViT Framework with CNN-based Feature Refinement for Skin Lesion Classification. Bipin P.R., Anoop V., Ramu R., Santhi K., Upendra Kumar. Journal of Innovative Image Processing 8, 747-764. 2026.
2. Multimodal neuroimaging-based deep learning framework for pattern analysis and early prediction of neurodegenerative diseases. V Asmabi, V Anoop. Neuroscience. 2026.
3. A Vessel-Aware Preprocessing Framework with Deep Neural Networks for Accurate Retinopathy of Prematurity Classification. KR Bharathy, V Anoop. 2026 International Conference on AI-Driven Solutions for Sustainable Smart Systems. 2026.
4. Lung Cancer Segmentation Using an Enhanced TransUNet++ Architecture. V Anoop, GM Karthik, S Savitha, B Ramu. Journal of Biomedical Photonics & Engineering 12 (1), 010305. 2026.
5. Efficient Intrusion Detection with DL-Protect: Balancing Accuracy, Interpretability, and Resource Efficiency. N Narkhede, KV Balaramakrishna, GM Karthik, V Anoop. International Journal of Intelligent Engineering & Systems 19 (3), 1. 2026.
6. Early detection of retinopathy of prematurity using a CNN-LSTM-attention model: A non-invasive risk classification approach. KR Bharathy, V Anoop. Biomedical Signal Processing and Control 113, 108950. 2026.
7. Early Prediction and Risk Analysis Using Hybrid Deep Learning Techniques in Multimodal Biomedical Image. A Vylala, B Plakkottu Radhakrishnan, A Balakrishnan Kadan. Developmental Neurobiology 85 (4), e23001. 2025.
8. AI-Powered Smart Glasses for Real-Time Speech-to-Text Transcription. TP Ashique, H Girish, IP Sabu, T Raju, V Anoop. 2025 4th International Conference on Advances in Computing, Communication and Applied Informatics. 2025.
9. Multi-Class Lung CT Image Classification for Enhanced Cancer Detection Using Fine-Tuned EfficientNet-B7 Framework. A Ananthan, V Anoop. 2025 International Conference on Power, Instrumentation, Control and Computing. 2025.
10. Optimising Optic Disc and Blood Vessel Segmentation using Ladder Net for grading of Retinopathy of Prematurity. V Anoop. 2025 4th International Conference on Advances in Computing, Communication and Applied Informatics. 2025.
11. Advanced health care monitoring in IOMT systems through integrated CNN and LSTM. JS Alikhan, A Sankaran, S Isaac, D Jaishree, S Vinayagapriya, V Anoop. 2025 3rd International Conference on Communication, Security, and Artificial Intelligence. 2025.
12. Machine Learning Architecture for Detection of Cancer from DNA. JM Jerry, JL Mathew, A Parakkal, V Anoop. 2025 4th International Conference on Advances in Computing, Communication and Applied Informatics. 2025.
13. A Hybrid DWT-NLM-PSO Based Denoising Method for Enhanced Brain Imaging. DR Pillai, V Anoop. 2025 4th International Conference on Advances in Computing, Communication and Applied Informatics. 2025.
14. A Deep Learning System Model For Detecting Neurodegenerative Diseases From Retinal Optical Coherence Tomography. V Asmabi, V Anoop. 2025 4th International Conference on Advances in Computing, Communication and Applied Informatics. 2025.
15. Functional Imaging in Radiology: Assessing Metabolic and Molecular Changes in Disease Diagnosis. V Anitha, Ashirwad P, Hement Kumar Ahirwar, Sheffy, V Anoop. Journal of Neonatal Surgery 14 (7). 2025.
16. Advancing Sign Language Prediction with Neural Network Models. G KP, V Anoop, A V, A Parakkal, JP Joji. 2024 International Conference on Advancement in Renewable Energy and Sustainable Development. 2025.
17. Chromatic Diagnostics: Enhancing Paddy Disease Detection with Filter-Based Feature Transformation. Deipali Vikram Gore, S. Rahamat Basha, S Vinayagapriya, V Anoop. Journal of Information Systems Engineering and Management. 2025.
18. Sadananda Lingayya, Anoop Vylala, Dynamic task offloading for resource allocation and privacy-preserving framework in Kub edge-based edge computing using machine learning-Cluster Computing-Springer (SCIE)-March 2024. https://doi.org/10.1007/s10586-024-04420-8(0123456789 (Impact Factor 3.6)
19. Jayesh George Melekoodappattu, Anoop Vylala , Brain cancer classification based on multistage ensemble generative adversarial network and convolutional neural network- Cell Biochemistry and Function-Wiley (SCIE) -October 2023. DOI: 10.1002/cbf.3870 (Impact Factor 3.6)
20. Anoop V · Bipin PR · Anoop BK Automated biomedical image classification using multi‑scale dense dilated semi‑supervised u‑net with CNN architecture- Multimedia Tools and Applications-Springer (SCIE). August 2023, https://doi.org/10.1007/s11042-023-16659-1 (Impact Factor 2.9)
21. V Anoop, PR Bipin, Exploitation whale optimization based optimal offloading approach and topology optimization in a mobile ad hoc cloud environment. Journal of Ambient Intelligence and Humanized Computing – Springer, (SCIE) February 2021, https://doi.org/10.1007/s12652-021-02945-z (Impact Factor- 3.662)
22. Jayesh George Melekoodappattu, Anoop Balakrishnan Kadan, V Anoop, Early detection of breast malignancy using wavelet features and optimized classifier- Int J Imaging Syst. Technol. 2021;1–13. Wiley(SCIE). December 2020 (Impact Factor- 2.88)
23. V Anoop, PR Bipin, Super-Resolution Based Automatic Diagnosis of Retinal Disease for Clinical Applications, Neural Processing Letters,1-16- Springer (SCIE), 2020. https://doi.org/10.1007/s11063-020-10292-x (Impact Factor- 2.891)
24. V Sunderaraj, V Anoop. et.al, CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system, Progress in Photovoltaics: Research and Applications -Wily (SCIE) 2020. https://doi.org/10.1002/pip.3315 (Impact Factor- 7.62)
25. Irine c Jose, Anoop. V, Speech Enhancement using LQE and Optimization Techniques, IEEE Xplore (Scopus), 2020. DOI: 10.1109/ICCSP48568.2020.9182288.
26. Anoop Vylala, B Plakkottu Radhakrishnan, Spectral feature and optimization-based actor-critic neural network for arrhythmia classification using ECG signal, Journal of Experimental & Theoretical Artificial Intelligence-Taylor & Francis, (SCIE) 2019, ISSN:0952-813X(Print)1362-3079(Online), https://doi.org/10.1080/0952813X.2019.1652355 (Impact Factor- 2.111)
27. F Joseph, V Anoop, Detection of Waves in ECG for Arrhythmia Classification, IEEE Xplore, (Scopus) 2019, DOI: 10.1109/ICOEI.2019.8862653.
28. Security framework for Internet of Things (IoT)-A systematic Review Anoop Balakrishnan, Anoop Vylala, Lap Lambert Publications,2019.-Book Chapter.
29. V Anoop, P.V Rao, Speech Signal Enhancement using GS Optimization, International Journal of Scientific Engineering & Technology Research, 2017, https://doi.org/10.1070/0742613X.2017.010225 (Impact Factor- 1.04)
30. V Anoop, P.V Rao, Noise Destruction and Improvement of Speech Signal Quality using Group Search Optimization (GSO) algorithm, Lecture notes in network and systems – Springer, 2017. (Impact Factor- 0.863)
31. An effective speech emotion recognition using artificial neural networks. V Anoop, PV Rao, S Aruna. International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications. 2017.
32. V Anoop, P.V Rao, Speech Enhancement Using Hybrid Optimization Technique. Elsevier- Procedia Technology. 5, 5–11. 2016, DOI: 10.1016/j.protcy.2016.08.074
33. V Anoop, P.V Rao, Adaptive Noise Cancellation in Speech Signals Using Optimization Algorithms, IEEE Xplore, 2016. (Scopus) DOI:10.1109/ICCSP.2016.7754274.
34. V Anoop, P.V Rao, An Efficient Modified Cuckoo Search based Noise Destruction and Improvement of Speech Signal Quality. eISSN: 2319-1163 ,International Journal of Research in Engineering and Technology, 2016. (Impact Factor- 0.172)
35. V Anoop, P.V Rao, M. Nidhin, Performance Analysis of Speech Enhancement Methods Using Adaptive Algorithms and Optimization Techniques pages. IEEE Xplore-2015. DOI: 10.1109/ICCSP.2015.7322720.
36. V Anoop, P.V Rao. Speech Signal Quality Improvement Using Cuckoo Search Algorithm. International Journal of Engineering Innovation & Research. Volume2, Issue6, ISSN: 2277–5668. 2015

Conferences / Workshop / FDPs Attended


1.Two-week online workshop on Deep learning from 11 – 22 March 2024 organized by SIAS Research Forum
2. National level faculty development program on Outcome based Education and Essential AI tools for teachers.10-16 January 2024, organized by St. Thomas College Pali and Kerala State Higher Education Council.
3. National level faculty development program on Research methodology Using Chat GPT and AI tools-21-29 September 2023 organized by Marian college Kuttikkanam and Kerala State Higher Education Council.
4. AICTE Recognized Faculty Development program on OBE and NBA Accreditation, 07-11 August 2023, Conducted by NITTR -Chandigarh.
5. Machine learning and its applications using Python from 8-27 August 2022 organized by Edux labs Pvt.Ltd.
6. Designing and Modelling of AI, IoT and ML Systems, 01-05 August 2022-AICTE-ATAL Faculty development Program.
7. The Art of Doing Research, 12-22 July 2021, Organized by Jyothi Engineering College, Christ University and Pelita Bangsa University
8. TEQUIP Sponsored FDP on 5G Technologies and IoT, 15-19 March 2021-Government Engineering College-Palakkad.
9. AICTE Recognized Faculty Development Program on programming using MATLAB, 08-12 June 2020 organized by NITTR-Chandigarh.
10. AICTE Recognized Faculty Development Program on Neural Networks,20-24 April 2020, organized by NITTR-Chandigarh.

Projects Guided


Projects Name Details Year
5. A Deep Learning Framework for automatic contouring of Organs at Risk (OAR) in Computed Tomography images for radiation treatment planning Ph.D. work - Ms. Fousiya K K (Ongoing) 2024
3. Early Prediction and Risk Analysis using Hybrid Deep Learning Techniques in Multimodal Biomedical Image Ph.D. work - Ms. Divya R Pillai (Ongoing) 2023
4. A Deep Learning Framework for Lung Cancer Detection and Disease Progress Prediction Ph.D. work - Ms. Anjali Ananthan (Ongoing) 2023
2. A Deep Learning System Model for Detecting Neurodegenerative Diseases from Retinal Optical Coherence Tomography Ph.D. work - Ms. Asmabi V (Ongoing) 2022
1. Automated screening of ROP based on ICROP3 classification protocol using hybrid deep neural networks Ph.D. work - Ms. Remya Bharathy K (Ongoing) 2021