Malu G is a Assistant Professor in the School of Computer Science and Engineering (SoCSE). She holds a PhD in Computer Science and Technology and a Master’s degree in Computer Applications from the University of Kerala, along with a Postdoctoral Fellowship from the Indian Institute of Information Technology and Management-Kerala. With over nineteen years of experience in teaching and research, Malu G specializes in Pattern Recognition, Medical Image Processing, Shape and Margin Descriptors, and Graph Algorithms. Her research interests focus on the development of new sophisticated methodologies and algorithms in these areas for the betterment of people and society.

Furthermore, she has contributed to the early diagnosis of breast cancer in collaboration with the Regional Cancer Center (RCC), Thiruvananthapuram, as well as the diagnosis of Neurodegenerative diseases such as Alzheimer’s, Mild Cognitive Impairment, and Hydrocephalus using structural descriptors, among other projects.

Malu G also plays a crucial role in the digital transition of intangible cultural art forms of Kerala. She serves as the Principal Investigator of the Center for Digital Transformation in Culture. The center aims to enhance the livelihood of artists and promote art forms of Kerala and beyond through Intelligent Digital Systems.

Malu G has made significant contributions to her field, as evidenced by an Indian patent she filed titled ‘An automated lesion detection system for DCE-MRI using circular mesh-based shape and margin descriptor.’ She is a recipient of the SPEED-IT research fellowship and actively contributes to various central and state government projects.

Centres of Excellence / Laboratories

• Centre for Digital Transformation in Culture (CDTC)
• Centre for Excellence in Pattern and Image Analysis (CEPIA)

• Ph.D in Computer Science (Applied Science and Technology) University of Kerala-2017
• Master of Computer Applications (MCA) University of Kerala- 2004
• B.Sc Computer Science, University of Kerala- 2000

• Assistant Professor, Digital University Kerala

• Research Officer, Digital University Kerala

• Post-Doctoral Fellow, Indian Institute of Information Technology and Management–Kerala

• Senior Research Fellow, Indian Institute of Information Technology and Management–Kerala

• SPEED-IT Research Fellow, Indian Institute of Information Technology and Management–Kerala

• Assistant Professor, Sree Narayana Institute of Technology

Papers Published:

1. Govind, M. B., Humaid, A. S., & Malu, G. (2025, April). Revolutionizing Student Engagement: Real-Time Emotion Detection and Interest Identification in Live Video Streams. In International Conference on Computing and Network Communications (pp. 409-422). Singapore: Springer Nature Singapore.
2. Aruljothi, S., & Malu, G. (2025, April). Computational Models and Neural Insights in Music Neuroscience. In International Conference on Computing and Network Communications (pp. 129-146). Singapore: Springer Nature Singapore.
3. Raj, V. Amrutha, and G. Malu. “EnGesto: An Ensemble Learning Approach for Classification of Hand Gestures.” IEEE Access (2024), Q1.
4. Malu, G., et al. “CirMNet: A Shape-based Hybrid Feature Extraction Technique using CNN and CMSMD for Alzheimer’s MRI Classification.” IEEE Access (2024), Q1.
5. Amrutha Raj, V. and Malu, G. (2024), GAMNet: A Deep Learning Approach for Precise Gesture Identification, Journal of Intelligent & Fuzzy Systems, 1 Jan. 2024: 1 – 16. doi:10.3233/JIFS-219395.
6. Sreelakshmi, S., Malu, G., Sherly, E., & Mathew, R. (2023). M-Net: An encoder-decoder architecture for medical image analysis using ensemble learning. Results in Engineering, 17, 100927. IF – 5, Q1. https://doi.org/10.1016/j.rineng.2023.100927.
7. Rani, S., Malu, G., & Sherly, E. (2023, February). Kidney Stone Detection from CT images using Probabilistic Neural Network (PNN) and Watershed Algorithm. In 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) (pp. 1-6). IEEE. 
8. Sreelekshmi. S., M. G. and E. Sherly, “Alzheimer’s Disease Classification from Cross-sectional Brain MRI using Deep Learning,” 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2022, pp. 401-405, doi: 10.1109/SPICES52834.2022.9774135.
9. Rudhra, B., Malu, G., Sherly, E., & Mathew, R. (2021). A novel deep learning approach for the automated diagnosis of normal pressure hydrocephalus. Journal of Intelligent & Fuzzy Systems, 41(5), 5299-5307. doi: 10.3233/JIFS-189852. 
10. Sreelakshmi S, Malu G, Pixel-Label-based Segmentation of Hippocampus from Brain MRI using SegNet Architecture, Deep.Learn (2021) National Conference on Deep Learning and Applications, 20th February 2020, Computer Society of India, ISBN-978-93-5445-632-9.
11. Renju V R, Classification of Mild Cognitive Impairment and Normal Control Using sMRI features and Deep Learning, Deep.Learn (2021) National Conference on Deep Learning and Applications, 20th February 2020, Computer Society of India, ISBN-978-93-5445-632-9.
12. Anjaly Unnikrishnan, Malu G, Jaishankar R, Sooraj R, Elizabeth Sherly, Identification of Steady-State Vegetation Condition Patches within a Landscape Using Spatial Data Analytics: A Case Study of Kanha Tiger Reserve, Madhya Pradesh, India, International Conference on Ecological Informatics, 2021.
13. Jose, R. M., Malu, G., Binny, S., & Joseph, N. T. (n.d.). Deep Learning for Saliency : A Review, Int. Journal of Scientific Research in Science and Technology 9(3), 43–47, March, 2021. Print ISSN: 2395-6011, | Online ISSN: 2395-602X (www.ijsrst.com),  Themed Section: Science and Technology. 
14. Sini S Raj, Malu G., Elizabeth Sherly, Vinod Chandra S. S., A Deep Approach to Quantify Iron Accumulation in the DGM Structures of the Brain in Degenerative Parkinsonian Disorders Using Automated Segmentation Algorithm, International Conference on Advances in Computing, Communication & Control (ICAC -2019).
15. S. B. Rani, Malu G., “Mathematical Morphology Based Hippocampus Segmentation for the Detection of Alzheimer’s Disease (AD),” Int. J. Inf. Syst. Comput. Sci., vol. 8, no. 2, pp. 30–34, ISBN 2319-7595, 2019.
16. Malu, G., Sherly Elizabeth, and Sumod Mathew Koshy. “Circular Mesh based Shape and Margin Descriptor for Object Detection.” Pattern Recognition 84 (2018): 97-111. IF- 8, Q1.
17. Malu G, Elizabeth Sherly, “A study on different feature extraction techniques for lesion identification in MRI breast images”, Indian Journal of Computer Science and Engineering (IJCSE), ISSN : 0976-5166 Vol. 7 No. 5 Oct-Nov 2016 : 189- 202.
18. Malu, G., Elizabeth Sherly and Sumod Mathew Koshy, “A hybrid approach for Automatic Lesion detection in DCE-MRI of breast using Statistical and Kinetic Features”, Proceedings on the IETE International Conference on Robotics and Automation (ICRA-16), January, 2016. Print ISBN: 978-93-80609-35-5.
19. Malu, G., Elizabeth Sherly and Sumod Mathew Koshy. “An automated algorithm for lesion identification in Dynamic Contrast Enhanced MRI”, International Journal of Computer Applications in Technology, Inderscience 51(1), pp: 23 – 30, 2015. Print ISSN: 0952-8091, Online ISSN: 1741-5047.
20. Malu G., Elizabeth Sherly and Sumod Methew Koshy, “Texture based Analysis and Classification of lesions in Dynamic Contrast – Enhanced Magnetic Resonance Imaging (DCE-MRI)”. IEEE (RAICS 16), (Ph.D. Forum) December, 2015.
21. Rugma Mohan, Malu G, Gopakumar, Elizabeth Sherly, “Positioning Lesion from Breast MRI and Mammogram using Registration Method”, International Journal of Engineering Research & Technology. Vol.3(5), May. 2014. ISSN: 2278-0181. 
22. Lekshmi.B.G, Malu.G, Elizabeth Sherly, “Analysis of Algorithms for the Segmentation of Necrotic Tissues in Cardiac MRI”, Proceedings of the UGC Sponsored National Conference On Recent Trends In Information Technology, 2014. Print ISBN – 978-81- 925229-5-1.
23. Malu, G., K. Balakrishnan, and N. K. Bodhey. “Area and volume calculation of necrotic tissue regions of heart using interpolation”, Proceedings on the 2011 International Conference on Emerging Trends in Electrical and Computer Technology, pp: 728 – 730, IEEE Digital Explorer, 2011. DOI: 10.1109/ICETECT.2011.5760213.

Articles Published in Periodicals 

1. COVID kala vishu: Navasankethikayude ormmapeduthal – Janayugom daily 14th April 2020
2. Artificial Intelligence nu entellam sadhikkum – Deshabhimani daily 26th April, 2020
3. COVID ananthara vidhyabhasathil nirmitha budhiude edam, Kalakaumudi 14th June 2020.
4. Brain Computing Anantha sadhyathakal, Janayugom Sunday Daily, 19th July 2020
5. COVID -19 Manushya masthishkathil varuthunna mattangal, Manorama Online, July2020.                               https://www.manoramaonline.com/health/health-news/2020/07/22/world-brain-day.html
6. Paristhithiye punasthapikkam Digital Sankethika vidhyayude sahayathode. Mathrubhoomi, Online June 2021 https://www.mathrubhumi.com/environment/specials/environment-day-2021/environment-can-be-restored-through-digital-transformation-world-environment-day-2021-1.5724533
7. ‘Sankethikathayude Chirakileeram’ (To empower our girls in Digital Technologies) Deshabhimani newspaper, May 2022. https://epaper.deshabhimani.com/c/67914175.