HIMALA PRAHARSHA CHITTATHURU
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Born in 2003 in Srikalahasti, Andhra Pradesh, India, I have always valued education as a means of personal and professional growth. I completed my secondary and higher secondary education at Jawahar Navodaya Vidyalaya, Chittoor (2014–2021), where I cultivated lifelong friendships and cherished memories that made the campus a home away from home.
My primary research interests lie in image classification using cognitive sensing. I am working on multiple projects, including zebrafish behavior analysis using deep learning, and EEG-based epilepsy detection in neonatal patients. These projects align with my passion for solving real-world challenges using advanced computational techniques.
In 2021, I enrolled in the prestigious Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, Kerala, to pursue a BS-MS (Integrated Master’s) in Data Science. My academic journey led me to join the Deep Intelligence Learning (DIL) Lab in 2023, under the guidance of Dr. Alwin Poulose. Here, I have been actively engaged in research at the intersection of deep learning and computer vision.
In my leisure time, I like to paint nature picturesque and poetry.
Latest📰
Latest📰
Machine and Deep Learning for Vision-based real-world problems
Machine and Deep Learning for Vision-based real-world problems
Computer Vision applications for happy and safer lives
Computer Vision applications for happy and safer lives
Life in 21st century is data driven. Every aspect of our life is eased by deep learning applications like your music recommender, shopping list recommender, safety systems and on. The power that Deep learning has is pivotal and generates a huge impact in our lives upon unleashed.
Computer vision is an advanced field of Intelligent systems which could improve the quality of life by applications based on images and videos. One of the interesting application of Deep learning for computer vision is in Driver Distraction detection. Many lives are lost due to distracted driving and we can prevent accidents using deep learning techniques for image and video classification of Distracted driving to alert the driver before the unthinkable can happen.
Projects
CBAM VGG16: An Efficient Driver Distraction Classification Architecture, published in the Journal of Computers in Biology & Medicine, Elsevier
ISLC SCNN: Indian Sign Language Classification System using Shallow Convolution Neural Network, published in IEEE Conference on Contemporary Computing and Communication 2024
Real Time sign language recognition and classification using Transfer Learning
Current Research Works
Zebra Fish Detection and Tracking using Deep learning methods for image-based data.
Epilepsy prediction using EEG signals of Neo-natal patients
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