Hershey, Pennsylvania
New York, New YorkBeijing, China

Aswathy Ravikumar

Aswathy Ravikumar is a Research Associate at the Vellore Institute of Technology. A passionate AI/ ML Associate consultant with both industry and nine years of teaching experience at graduate and postgraduate levels. An enthusiast in the domains of artificial intelligence and data science, with numerous publications and projects and an excellent academic track record. Her research interest includes Distributed Deep Learning, Big Data and Accelerating Deep Learning performance using an HPC environment.

Publications

Parallelization and Scaling of Deep Learning and HPC: Libraries, Tools, and Future Directions
Parallelization and Scaling of Deep Learning and HPC: Libraries, Tools, and Future Directions
Aswathy Ravikumar, Harini Sriraman. © 2025. 32 pages.
Optimal high-performance computing (HPC) use for deep learning is a difficult task that requires progress in a variety of research domains. Complex systems and events are...
Understanding Convolutional Neural Network With TensorFlow: CNN
Understanding Convolutional Neural Network With TensorFlow: CNN
Aswathy Ravikumar, Harini Sriraman. © 2024. 24 pages.
In academia and business, deep-learning-based models have exhibited extraordinary performance over the last decade. The learning potential of Convolutional Neural Networks (CNNs)...
A Deep Understanding of Long Short-Term Memory for Solving Vanishing Error Problem: LSTM-VGP
A Deep Understanding of Long Short-Term Memory for Solving Vanishing Error Problem: LSTM-VGP
Aswathy Ravikumar, Harini Sriraman. © 2024. 17 pages.
Long Short-Term Memory (LSTM) is a specific kind of recurrent neural network (RNN) structure that addresses the constraints of conventional RNNs in effectively capturing and...
Data Analytics to Forecast Brain Cancer Risk and Suitable Digital Solutions in India
Data Analytics to Forecast Brain Cancer Risk and Suitable Digital Solutions in India
Aswathy Ravikumar, Harini Sriraman, Ritika Kumari Pandey, Dhruviben Ajitsinh, Abhinav Goswami. © 2024. 44 pages.
Brain tumours are among the worst human malignancies. Accurate and dependable segmentation of brain tumours using MRI images aids in treatment planning and extends patients'...
Acceleration of Image Processing and Computer Vision Algorithms
Acceleration of Image Processing and Computer Vision Algorithms
Aswathy Ravikumar, Harini Sriraman. © 2023. 18 pages.
Image processing combined with computer vision is creating a vast breakthrough in many research, industry-related, and social applications. The growth of big data has led to the...
Evaluation of the Distributed Strategies for Data Parallel Deep Learning Model in TensorFlow
Evaluation of the Distributed Strategies for Data Parallel Deep Learning Model in TensorFlow
Aswathy Ravikumar, Harini Sriraman. © 2023. 18 pages.
Distributed deep learning is a branch of machine intelligence in which the runtime of deep learning models may be dramatically lowered by using several accelerators. Most of the...
Smart Distributed Contactless Airport Baggage Management and Handling System
Smart Distributed Contactless Airport Baggage Management and Handling System
Ritik Agarwal, Azam Siddiqui, Shaunak Deshpande, Nikhil Chandrashekhar Chapre, Anmol Mishra, Ansh Khattar, Aswathy Ravikumar, Harini Sriraman. © 2023. 12 pages.
Smart contactless airport baggage management and handling system is a problem solver that fits in maximum aspects of airport luggage security and management system. Thus...
The Role of Machine Learning and Computer Vision in the Agri-Food Industry
The Role of Machine Learning and Computer Vision in the Agri-Food Industry
Aswathy Ravikumar. © 2022. 19 pages.
The food industry has been unable to control the demand-supply cycle and has also fallen short on food safety due to human engagement. Food production and distribution activities...