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Dr.Thanammal Indu.V

Assistant Professor, School of Computing, Amrita Vishwa Vidyapeetham, Nagercoil.

Qualification: B.E., M.E., MBA(HR), Ph.D.
v_thanammalindu@nc.amrita.edu
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Research Interest: Deep Learning, Computer Vision and Optimization Techniques

Bio

Dr.Thanammal Indu .V is an Assistant Professor at the Department of Computer Science and Engineering, School of Computing, Nagercoil. She was awarded a Ph.D. under the faculty of Information and Communication Engineering from Anna University in 2024.  Her research interests include Deep Learning, Computer Vision, and Optimization Techniques. She has published research papers in reputed journals (SCOPUS, SCI, and Web of Science). She holds a life membership with the Indian Society for Technical Education

Publications

Conference Paper

Year : 2025

Adaptive Scheduling and Managing Resources in Changing Industrial Settings: Deep Reinforcement Learning for the Internet of Things

Cite this Research Publication : M. Subalatha, V. Thanammal Indu, Maram Y. Al-Safarini, Bhukya Balakrishna, P. Muthuchelvi, Abinash. M, Adaptive Scheduling and Managing Resources in Changing Industrial Settings: Deep Reinforcement Learning for the Internet of Things, 2025 IEEE 2nd International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), IEEE, 2025, https://doi.org/10.1109/iciteics64870.2025.11341125

Publisher : IEEE

Year : 2025

Brain Tumor Identification, Classification and Severity Assessment Using a Comparative Analysis of ResNet50, EfficientNetB0, and CNN Architectures

Cite this Research Publication : Matan P, M. Gokuldhev, P Velvizhy, V.Thanammal Indu, E Bharath, Brain Tumor Identification, Classification and Severity Assessment Using a Comparative Analysis of ResNet50, EfficientNetB0, and CNN Architectures, 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), IEEE, 2025, https://doi.org/10.1109/icaaic64647.2025.11330248

Publisher : IEEE

Year : 2025

Coherent Restoration of Children’s Stories from Incomplete and Distorted Inputs with Large Language Model

Cite this Research Publication : Matan P, M. Gokuldhev, P Velvizhy, V.Thanammal Indu, Coherent Restoration of Children's Stories from Incomplete and Distorted Inputs with Large Language Model, 2025 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), IEEE, 2025, https://doi.org/10.1109/iccike67021.2025.11318171

Publisher : IEEE

Year : 2024

Advancements and Security Challenges in the Industrial Internet of Things (IIoT)

Cite this Research Publication : Ramesh Krishnan S, S. Ismail Kalilulah, V. Thanammal Indu, M. Gokuldhev, S. Deepa, G. Sushma, Advancements and Security Challenges in the Industrial Internet of Things (IIoT), 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW), IEEE, 2024, https://doi.org/10.1109/icietdw61607.2024.10939109

Publisher : IEEE

Journal Article

Year : 2025

Enhancing Malware Detection with Machine Learning

Cite this Research Publication : V.Thanammal Indu, Sathish.P, R.Saranya, N.Sharmila Banu, S.Gayathri, P.J.Beslin Pajila, Enhancing Malware Detection with Machine Learning, 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA), IEEE, 2025, https://doi.org/10.1109/icidca66325.2025.11280330

Publisher : IEEE

Year : 2025

Deep Residual Squeeze Excited Region Convolutional Network: A Robust Deep Learning Framework for Precision Agriculture and Plant Disease Diagnosis

Cite this Research Publication : V. Thanammal Indu, S. Suja Priyadharsini, Deep Residual Squeeze Excited Region Convolutional Network: A Robust Deep Learning Framework for Precision Agriculture and Plant Disease Diagnosis, Cybernetics and Systems, Informa UK Limited, 2025, https://doi.org/10.1080/01969722.2025.2573328

Publisher : Informa UK Limited

Year : 2025

Comparative evaluation of machine learning models for predicting clad bead geometry in gas metal arc welding

Cite this Research Publication : Kannan Thankappan, Jayaram Radhakrishnan Santhi, Thanammal Indu Vijayalakshmi, Comparative evaluation of machine learning models for predicting clad bead geometry in gas metal arc welding, Knowledge-Based Systems, Elsevier BV, 2025,

Publisher : Elsevier BV

Year : 2024

Leveraging Deep Learning for Accurate Diagnosis of Breast Cancer

Cite this Research Publication : Thanammal Indu V, Gokul Dev M, K Rejini. “Leveraging Deep Learning for Accurate Diagnosis of Breast Cancer”, African Journal of Biological Sciences, 6(14), pp. 728-739, 2024.

Year : 2023

Generating Musical Compositions with GRU and LSTM Neural Networks

Cite this Research Publication : V. Thanammal Indu, M. Kishanthini, M. Gokuldhev, Generating Musical Compositions with GRU and LSTM Neural Networks, International Journal of Advanced Trends in Engineering and Management (IJATEM), pp. 195-202, 2023.

Year : 2023

Optimized deep feature selective concatenation of recurrent encoder model and pretrained convolutional neural network model for leaf disease identification

Cite this Research Publication : Vijayalakshmi Thanammal Indu, Subramoniam Suja Priyadharsini, "Optimized deep feature selective concatenation of recurrent encoder model and pretrained convolutional neural network model for leaf disease identification," Journal of Electronic Imaging, 32(1) 013046, 2023.

Publisher : SPIE

Year : 2022

Crossover-based wind-driven optimized convolutional neural network model for tomato leaf disease classification

Cite this Research Publication : Thanammal Indu V., Suja Priyadharsini S, Crossover-based wind-driven optimized convolutional neural network model for tomato leaf disease classification, Journal of Plant Diseases and Protection 129, 559–578,2022.

Publisher : Springer

Year : 2022

Affinity based Virtual Machine Migration (AVM) Approach for Effective Placement in Cloud Environment

Cite this Research Publication : Thanammal Indu V.,Gokuldhev M, Affinity based Virtual Machine Migration (AVM) Approach for Effective Placement in Cloud Environment, International Research Journal of Engineering and Technology (IRJET), 09(02), 1-11, 2022.

Year : 2022

Darts game optimization with intuitionistic fuzzy kernel ridge regression for IoT based smart farming model

Cite this Research Publication : Gokuldhev, M., Raju, D.N, V.Thanammal Indu, Darts game optimization with intuitionistic fuzzy kernel ridge regression for IoT based smart farming model, International Journal of Information Technology, 14, 3123–3131 (2022)

Publisher : Springer

Year : 2019

Web-Page Recommendation Based On Conceptual Prediction Model Supported By Web-Semantics And Session Time

Cite this Research Publication : Thanammal Indu V., Gokuldhev M, Web-Page Recommendation Based On Conceptual Prediction Model Supported By Web-Semantics And Session Time, Journal of Emerging Technologies and Innovative Research, 6(6), 406-412, 2019

FDP / Workshops
  • Participated in a 5-day Online FDP on the theme “Inculcating Universal Human Values in Technical Education” organized by All India Council for Technical Education (AICTE) from 02/01/2023 to 06/01/2023.
  • Participated in the AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “Implementation of National Education policy- 2020” from 24/01/2022 to 28/01/2022 at ATME College of Engineering.
  • Participated in the Online Training Programme on “Soft Skills” conducted by National Institute of Technical Teachers Training and Research, Chennai from 07/02/2022 to 11/02/2022.
  • Attended training on Basics of Java, Apache, Postgresql, React JS, Bootstrap, Java Script, Servlet, and Elastic Search at Zoho Corp, Tirunelveli as a part of “Train the Trainers” of Zoho Rural Youth Empowerment Programme from 29/10/2021 to 2/11/2021.
  • Undergone Innovation Ambassador Training (Foundation Level) conducted by MoE’s innovation cell and AICTE from 30/06/2021 to 30/07/2021.
  • Participated in the AICTE Training and Learning (ATAL) Academy Faculty Development Program on “Generative and ethical AI: Techniques and Applications with hands-on” from 20/01/2025 to 25/01/2025 at National Institute of Technology Tiruchirappalli.
  • Participated in the AICTE Training and Learning (ATAL) Academy Faculty Development Program on “Programmable Cities” from 09/12/2024 to 14/12/2024 at Indian Institute of Information Technology Dharwad.
  • Participated in the workshop on “Knimbus Online User Awareness Training Session” organised by Amrita Vishwa Vidyapeetham, Kollam in association with Knimbus on 31-01-2025.
  • Attended the workshop on “Research opportunities in Computer Science” hosted by Amrita Vishwa Vidyapeetham, Amritapuri Campus on October 19, 2024.
  • Participated in ISTE Approved Six Days Short Term Training Programme (STTP) in association with Pristine InfoSolutions Pvt. Ltd. India on the “Cybersecurity and Artificial Intelligence” Conducted during 06 June to 11 June, 2022 organised by Department of Computer Engineering.
  • Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “Machine Learning Applications on Image Processing” from 17/01/2022 to 21/01/2022 at Nagarjuna College of Engineering and Technology
  • Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “Role of Mathematics in Future Technologies” from 2021-07-12 to 2021-07-16 at Stanley College of Engineering and Technology for Women.
  • Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “PATENT LAW FOR ENGINEERS AND RESEARCHERS” from 2021-07-26 to 2021-07-30 at PRATHYUSHA ENGINEERING COLLEGE.
  • Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on “Augmented Reality (AR)/ Virtual Reality (VR)” from 23-11-2020 to 27-11-2020 at GANDHI INSTITUTE OF TECHNOLOGY AND MANAGEMENT GITAM OFF CAMPUS BENGALURU.
  • Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on “Block Chain” from 27-05-2020 to 31-05-2020 at MSME- Technology Development Centre (PPDC), Meerut.
  • Has successfully completed the Skill Development Training Program on “Artificial Intelligence and Machine Learning-II” from 27/07/2021 to 23/09/2021 under the joint venture of ISTE & BNY Mellon.
  • Attended two-day workshop on “Introduction to Robotics” at St.Xavier’s College Autonomous, Tirunelveli, Tamil Nadu on 9th & 10th January 2020.
Membership

Life  Member of the Indian Society for Technical Education (ISTE)

Awards
  • Manonmaniam Sundaranar University 4th Rank Holder in B.E. (2004)
  • Anna University 8th Rank Holder in M.E. (2016)
  • First place in the elocution competition – (2021) from RUSA and EBSB club of Anna University, Chennai.
  • NPTEL Discipline Star – (July-December 2022) from NPTEL-Swayam
  • Recognised for the exceptional contribution as College SPOC in Smart India Hackathon, 2024.
  • Recognised for the outstanding contribution as a Mentor/Coach in ICPC Asia Amritapuri 2024
Conferences Attended
  • Presented the paper titled “Generating Musical Compositions with GRU and LSTM Neural Networks” at the 7th International Conference on Recent Innovations in Computer and Communication (ICRICC’23) on 26th June 2023.
  • Presented the paper titled ‘Rice Disease Classification using Deep Convolutional Neural Networks with Fuzzy Classifier’ at Second National Conference on “RECENT TRENDS IN ENGINEERING AND TECHNOLOGY” (PRECCON-2023), ISBN No. 978-93-5891-192-3, 1-39.
  • Presented the paper titled ‘A Study on Impact of Training and Development on Employees in Kurian Abraham Private Limited’, at the 1st National Conference on Recent Advancements in Civil, Mechanical and Management Studies (NCRACMM’22), ISBN No. 978-81-948459-4-2, 2(2), 131-187.
  • Presented the paper titled “Brain Tumor Identification, Classification and Severity Assessment using a Comparative Analysis of ResNet50, EfficientNetB0, and CNN Architectures” at the 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC 2025) organised by R. P. Sarathy Institute of Technology, Salem, India, on 17–19 December 2025.
  • Presented the paper titled “Automated Classification of Skin Cancer Using DenseNet201, ResNet50 and EfficientNet-B0 Deep Learning Models on Dermoscopic Images” at the AICTE Sponsored IEEE International Conference on Smart Technologies & Systems for Next Generation Computing (ICSTSN 2025) – Fourth Edition, held at IFET College of Engineering, on 20–21 November 2025.
  • Presented the paper titled “Enhancing malware detection with machine learning” at the 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2025) on 6-8 October 2025.
  • Presented the abstract titled, “AI-Driven Innovations in Bioenergy: Integrating Advanced Bioconversion Technologies, Nanomaterials, And Circular Economy for Sustainable Energy Futures” at the International Conference on Advanced Materials and Green Technologies organized by Department of Chemical Engineering & Materials Science, Amrita Vishwa Vidyapeetham, Coimbatore from 23rd to 26th July 2025.
  • Presented the paper titled, “A Novel Approach for Real-Time Identification of Online Fake Content using Hybrid CNN-LSTM and Passive Aggressive Classifier” at the 12th International Conference on Advanced Science and Engineering Research – 2024 (ASER – 2024) on 07.05.2024.
Talks Delivered
  • A session on “Knowledge Graphs and Semantic Networks in AI Reasoning.” for the FDP on “Neuro-Symbolic Intelligence: Merging Deep Learning with Human-Like Reasoning” (12 Nov 2025), organized by KSR College of Engineering, Tiruchengode.
  • A session on “Digital Twins for Personalized Medicine and Treatment Simulation” for the International FDP on “Artificial Intelligence for Health Research: Leveraging Next-Generation Computer Science Technologies” (8 Oct 2025) organized by KSR College of Engineering, Tiruchengode.
  • A session on “Moodle LMS” in the National Level Virtual FDP on TEACHERS, TEACHING & ICT’S jointly organized by IQAC, Amrita College of Education and IQAC, Innovation & Best Practices Centre, Tamil Nadu Teachers Education University, Chennai from 27th July 2020 to 2nd August 2020.
  • A session on “Neural Networks in Data science” for the Amrita-Hebeon online webinar cum workshop on “Data Science using Python” organized by Amrita College of engineering and Technology, Nagercoil and Hebeon technologies held from 17th June 2020 till 25th June 2020.
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