Harini Sriraman

Harini Sriraman is an Associate Professor with Vellore Institute of Technology. She has more than 13 years of teaching experience. Her research interest includes Distributed and Parallel computing, Accelerating Deep Learning performance using HPC environment, Hardware based Domain Specific Acceleration and Energy efficient and sustainable computing. OrCID: Web of Science ResearcherID: AAB-4513-2019.

Publications

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...
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...
Scalable and Distributed Machine Learning and Deep Learning Patterns
Scalable and Distributed Machine Learning and Deep Learning Patterns
J. Joshua Thomas, S. Harini, V. Pattabiraman. © 2023. 286 pages.
Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training...
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...