School of Computing and Information Technology
Machine learning, applied optimization
Machine learning, applied optimization
PhD in Computer Science
7 years
Detection of Driver’s Distractedness Using Convolutional Neural Networks Shailaja Pasupuleti, Shobana Padmanabhan Intl Journal for Research in Applied Science & Engineering Technology, ISSN: 2321-9653; IC Value: 45.98 MUSIC RECOMMENDATION BASED ON CHILD EMOTION THROUGH MACHINE LEARNING TECHNIQUES Shanti Konda, Muralidhar Billa, Himanshu Bhatnagar, Shobana Padmanabhan LINO Journal, Vol 11, Issue 3, S.No. 56, 14 June 2021 Detecting autism from facial image Shaik Jahanara, Shobana Padmanabhan Intl. Journal of Advance Research, Ideas and Innovations in Technology Vol 7, Issue 2 – V712-1181, Mar – Apr 2021 Extracting and Improving Microarchitecture Performance on Reconfigurable Architectures Shobana Padmanabhan, P. Jones, D. V. Schuehler, S. J. Friedman, P. Krishnamurthy, H. Zhang, R. Chamberlain, R. K. Cytron, J. Fritts, J. W. Lockwood. Intl. Journal on Parallel Programming (IJPP), Vol. 33, numbers 2-3, pages 115-136, June 2005
Indian Patent, Application No.202341079506 A, published on 22/12/2023, “Development and Optimization of a Deep Learning Neural Network Framework for Advanced Image and Speech Recognition Applications”, Dr. Jesudas Thangaraju (Mahendra Engineering College), Dr. Shobana Padmanabhan (RV University), Dr. Sheila Mahapatra (Alliance University)
Chapter 1. Neural Networks for Human-Machine Interface Deepthi Dayanand (PESU), K. Sutejas (PESU), Vrishank Shishir (PESU), Shobana Padmanabhan (RV University), and Murthy Chavali (currently at MIT-WPU), Human-Machine Interface Technology Advancements and Application, CRC Press, Taylor & Francis, 2023. AI for Medical Science – Symposium Proceedings, Alliance University Editor, Mar 2022 AI in Early Diagnosis of Autism (book chapter), Shaik Jahanara, Shobana Padmanabhan Intl. Conf. on Machine learning Big data management cloud and computing, Thiruvanathapuram, Asian Society for Academic Research (ASAR), 2021
Over 50
Statistical Analysis of Student Data and Machine Learning Models for Performance Prediction, Resmi T J, Shobana Padmanabhan, 4th Int’l Conf. on Data Engineering and Communication systems ICDECS-2024, March 23, 24th 2024. Optimised Round Robin with Virtual Runtime for CPU Scheduling, Jagriti Bhatia (PES University), Sanskriti Mathuria (PESU), Vandana M Ladwani (PESU), Shobana Padmanabhan (RV University), 12th Computing Conference, 11-12 July 2024, London. Proceedings published in Springer series "Lecture Notes in Networks and Systems". Evaluation of different optimizers in LSTM (Long Short Term Memory) based Deep learning algorithm with imbalanced dataset, Santosh Raghavendraraju, Richar Martin, Keerthivarman G, Shobana Padmanabhan, Intl. Virtual Conf. on Recent Innovations in Science & Technology (RIST 2021), ERANAD Knowledge City Technical Campus and ISET Research & HEXAIND Technologies and Services, Conf. Proc. 06-20-2021. Detection of COVID 19 through X-rays using CNN and Transfer Learning, Kamran, Soumyakshya Das, Shobana Padmanabhan, Intl, Conf. on Machine Learning Big Data Management Cloud Computing, In Proc. Of Asian Society for Academic Research (ASAR), B’lore, 14 Feb 2021. Unchaining in Design-Space Optimization of Streaming Applications, Shobana Padmanabhan, Y. Chen, and R. D. Chamberlain, Data-Flow Execution Models for Extreme Scale Computing (DFM) Workshop, Int’l Conf. on Parallel Architectures and Compilation Techniques (PACT), 2013. Decomposition Techniques for Optimal Design-Space Exploration of Streaming Applications, Shobana Padmanabhan, Y. Chen, and R. D. Chamberlain, ACM Symp. on Principles and Practice of Parallel Programming (PPoPP), 2013. Convexity in Non-convex Optimizations of Streaming Applications, Shobana Padmanabhan, Y. Chen, and R. D. Chamberlain, IEEE Int’l conf. on Parallel and Distributed Systems (ICPADS) 2012. Optimal Design-Space Exploration of Streaming Applications, Shobana Padmanabhan, Y. Chen, and R. D. Chamberlain, IEEE Int’l Conf. on Application-specific Systems, Architectures and Processors (ASAP), 2011. Automatic Application-Specific Customization of Multi-Processor Microarchitecture, Shobana Padmanabhan, R. K. Cytron, and J. W. Lockwood, Workshop on Software Tools for Multi-Core Systems (STMCS), IEEE/ACM Intl. Symp. on Code Generation and Optimization (CGO), 2007. Automatic Application-Specific Microarchitecture Reconfiguration, Shobana Padmanabhan, R. K. Cytron, R. D. Chamberlain, and J. W. Lockwood, Reconfigurable Architectures Workshop (RAW), IEEE Intl. Parallel & Distributed Processing Symp. (IPDPS), 2006. Hierarchical Clustering using Reconfigurable Devices, Shobana Padmanabhan, M. Looks, D. Legorreta, Y. H. Cho and J. W. Lockwood, IEEE Symp. on Field-Programmable Custom Computing Machines (FCCM), 2006. Liquid Architecture, P. Jones, Shobana Padmanabhan, D. Rymarz, J. Maschmeyer, D. V. Schuehler, J. W. Lockwood, R. K. Cytron. NSF Workshop on Next Generation Software (NGS), IPDPS, 2004.
