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Aiswariya Milan K

Faculty Associate, Department of Computer Science and Engineering, School of computing, Bengaluru

Qualification: B. Tech., M.Tech.
Research Interest: Machine Learning Applications to Healthcare, Federated learning For Healthcare, Deep Learning for Image Anomaly Detection, Eye Gaze Data Analytics

Bio Publications
Bio

Aiswariya Milan K is a Faculty Associate in the Department of Computer Science and Engineering at Bengaluru, leveraging over a decade of teaching expertise across diverse engineering institutions. She has handled courses such as Data Structures, Advanced Programming, Python for Machine Learning, Pattern Recognition, and Soft Computing. She has guided B.Tech projects, including innovative works like “Emotion Detection by Facial Expressions Using Federated Learning” and “RETINIFY: A Deep Learning Approach for BIG-4 Eye Diseases.”

Her academic journey began with a B.Tech in Computer Science and Engineering from Rajiv Gandhi College of Engineering and Technology and an M.Tech in Information Security from Pondicherry Engineering College. She cleared the GATE Exam in both 2012 and 2018. She is pursuing a Ph.D. in Computer Science and Engineering under Dr.Amudha J., Professor, Department of Computer Science and Engineering.

Her research interests are Deep Learning, Federated Learning, and Eye Gaze Data Analytics. She conducts research within the Eye Tracking and Computer Vision Research Lab, led by Dr. Amudha J. She is a member of the AI for Health and Well-Being Research TAG.

Publications

Journal Article

Year : 2020

Machine Learning Techniques in Healthcare—A Survey

Cite this Research Publication : Kummaya, Aiswariya & Kumar, Niharika. (2020). Machine Learning Techniques in Healthcare—A Survey. Journal of Computational and Theoretical Nanoscience. 17. 4276-4279.

Publisher : Ingenta Connect

Year : 2015

QoS enhanced scheduling framework for IoT Using LTE-A.

Cite this Research Publication : Aiswariya, M. K., and Shilpa Ramesh. "QoS enhanced scheduling framework for IoT Using LTE-A." Int.Adv. Res. Comput. Eng. Technol. 4.11 (2015): 4273-4276.

Conference Paper

Year : 2022

A Machine Learning Framework for Classification of Expert and Non- Experts Radiologists using Eye Gaze Data

Cite this Research Publication : S. R. S, A. J and A. M. K, "A Machine Learning Framework for Classification of Expert and Non- Experts Radiologists using Eye Gaze Data," 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), MANGALORE, India, 2022, pp. 314-320, doi:10.1109/ICRAIE56454.2022.10054277.

Publisher : IEEE

Book Chapter

Year : 2021

15 Lethal Vulnerability of Robotics in Industrial Sectors

Cite this Research Publication : G. Babukarthik; Terrance Frederick Fernandez; Sivaramakrishnan Sivaramakrishnan; Aiswariya Milan, "15 Lethal Vulnerability of Robotics in Industrial Sectors," in Big Data Management in Sensing: Applications in AI and IoT , River Publishers, 2021, pp.227-238.

Publisher : River Publishers

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