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May 23, 2023

Dr. A. Saravanan – Assistant Professor

Dr. A. Saravanan – Assistant Professor

IT

Dr. A. Saravanan
B. Tech, M.E, Ph.D.,

Assistant Professor

Email: [email protected]

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INTERNATIONAL
JOURNALS

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INTERNATIONAL
CONFERENCES

Education and Area of Interest:

Dr. Saravanan Alagarsamy was born in 1985. In 2007, he got his Bachelor’s Degree in Information Technology through Arulmigu Kalasalingam College of Engineering in Krishnankoil, Virudhunagar, India. In 2009, he earned a Master’s Degree in Computer Science and Engineering from the Thiagarajar College of Engineering in Madurai, India. In 2019, he earned a Ph.D. in Computer Science and Engineering. He has taught for more than fifteen years and has done research for more than five years. His fields of study include medical image processing and machine learning.

 

He has supervised 1 full-time Ph.D. scholar, and 1 part-time Ph.D. scholar.

Research Publications:

Published ten SCI journals and 30 papers in Scopus journal/Conferences. Some of the notable publications are listed below:

 

  1. Harish Garg, Saravanan Alagarsamy, D Nagarajan, A Senthilkumar, Smart system for identifying the various pathologies in MR brain image using Monkey Search based Interval Type-II Fuzzy C-Means technique, Multimedia Tools and Applications (Springer), (Impact Factor: 3.6).
  2. SV Hemanth, Saravanan Alagarsamy, T Dhiliphan Rajkumar, A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM, Journal of Biomolecular Structure and Dynamics, 2024. (Impact Factor:4.4).
  3. Visalini K. Saravanan Alagarsamy, Nagarajan D. Event-Based Epileptic Seizure Detection with Stacked Convolutional Restricted Boltzmann Machine, IETE Journal of Research, https://doi.org/10.1080/03772063.2023.2234854,2023. (Impact Factor:1.5).
  4. S V Hemanth, Saravanan Alagarsamy, T Dhiliphan Rajkumar, Convolutional neural network-based sea lion optimization algorithm for the detection and classification of diabetic retinopathy, Acta Diabetologica (Springer),60, pp.377–1389 (2023). https://doi.org/10.1007/s00592-023-02122-y. (Impact Factor:3.8).
  5. Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A Senthilkumar, Automated Brain Tumor Segmentation for MR Brain Images using Artificial Bee Colony Combined with Interval Type-II Fuzzy Technique, IEEE Transactions on Industrial Informatics, DOI:10.1109/TII.2023.3244344, 2023. (Impact Factor:11.648).
  6. Saravanan Alagarsamy, Yudong Zhang, Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Sakthivel Sankaran, Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School based Fuzzy Clustering Approach,  IEEE Transactions on Fuzzy Systems, vol. 29, no. 10, pp. 3165-3177, Oct. 2021. (Impact Factor:12.029).
  7. K. Visalini, Saravanan Alagarsamy, D. Nagarajan, Neonatal seizure detection using deep belief networks from multichannel EEG data, Neural Computing and Applications, Springer, (2023). https://doi.org/10.1007/s00521-023-08254-0. (Impact Factor: 5.102).
  8. A Senthilkumar, A Anderson, Saravanan Alagarsamy, Performance enhancement and ANN prediction of R600a vapour compression refrigeration system using CuO/Sio2 hybrid nanolubricants: an energy conservation approach, Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06681-5,2021(Impact Factor:5.102).
  9. Saravanan Alagarsamy and Kartheeban Kamatchi, “Multi-Channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors”, Biocybernetics and Biomedical Engineering, ELSEVIER, 39 (7), 1005-1035, 2019.  (Impact Factor: 4.314).
  10. Saravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj, Arun Prasath Thiyagarajan, A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation, International Journal of Imaging Systems and Technology, Wiley, 27 (4), 317-332, 2017. (Impact Factor: 2.0).

Funded Project Details

S. No. Title of the proposal Funding Agency Amount Status
1 Awareness programs to the school children on AI, Machine Learning, IoT and Cyber security through Beehive Type Training BTT for the region of Virudhunagar district, Tamilnadu. [NCSTC/PROV/2021/108] DST-CHILDREN CENTRIC OUTREACH PROGRAMME Rs.22,05,900 Granted
2 Decoding Pulmonary Health: Enhancing Rapid Patient Lung Assessment via Computer-Aided Analysis of Interlobular Septum Thickness SSN Trust Rs.300000 Granted
3 Analysis of lungs computed tomography images for the detection of nodules using deep learning techniques SSN Trust Rs.300000 Granted
4 Smart Bus Seat Management and Location Tracking System SSN Trust Rs.35000 Granted

Reviewer for Journals:

  • Reviewer for Elsevier in Applied Soft Computing
  • Outstanding Contribution for Applied Soft Computing Journal,Biocybernetics and Biomedical Engineering, Elsevier, 2019.
  • Reviewer for IEEE Transaction on Fuzzy Systems.
  • Reviewer for IEEE Transaction on Circuits and Video Technology.
  • Reviewer for IEEE Transactions on Industrial Informatics.
  • Reviewer for the Journal of Ambient Intelligence & Humanized Computing (Springer).

Research Citations:

ORCID: 0000-0001-7362-6950

Scopus ID: 57197755012

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