Vijayalakshmi Saravanan

Dr. Vijayalakshmi Saravanan is currently working as Assistant Professor, Computer Science, at the University of South Dakota. Prior to this, she was a Visiting Assistant Professor, Computer Science, Vassar College, NY and an Adjunct Faculty at Rochester Institute of Technology, USA. Earlier she was a Postdoctoral Associate at University at Buffalo, SUNY, USA and University of Waterloo, Canada under the prestigious "Schlumberger Faculty for the Future" Fellowship award (2015-2017). She completed her Ph.D. under the prestigious Erasmus Mundus EU-Govt Fellowship award at Malardalen University, Sweden as a research exchange student. Prior to this, she was Assistant Professor of Practice at UTSA, USA. She is serving as a program committee member for reputed conferences & journals such as GHC, SIGCSE and Springer. Her research interests include Power-Aware Processor Design, Big Data and SW/HW Co-Design of MultiCore Architecture. She is also a lead editor for Pattern Recognition Letters (2020), Special Issue of Multimedia Tools and Applications (2020) and CRC Press Taylor & Francis, USA. She is a Senior Member of IEEE, ACM, ACM Distinguished speaker, CSI and Chair of IEEE WIE Affinity Group at VIT University during 2009-2015, Chair of NPA (National Postdoctoral Association) Annual Meetings and a Board Member of N2WOMEN. She is a recipient of SRP-HPC ECP Fellow.

Data Science, Big Data, Machine learning, Data Mining, Data Visualization, HPC, AI and Computer Architecture

Big Data, HPC, AI and Computer Architecture

Saravanan, Vijayalakshmi, Real-Time Change Point Detection in Molecular Dynamics Streaming Data. Presented at the SC23, Denver. (November 2023)
Saravanan, Vijayalakshmi, An Analysis of Change Point Detection in High Performance Computing. Presented at the WHPC (Women in HPC) workshop at SC23, Denver. (November 2023)
Saravanan, Vijayalakshmi, "CODAR/NWChemEx: Online Streaming Change Point Detection for Molecular Dynamics,". Presented at the ECP Annual meeting, Houston, TX. (January 2023)
Saravanan, Vijayalakshmi, An Exploration of an Enhanced Scheduling Algorithm Approach with Feasibility Analysis on a Single CPU System. Presented at the 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2022), (January 2022)
Saravanan, Vijayalakshmi, ADCCF: Adaptive deep concatenation coder framework for visual question answering. Presented at the Elsevier, Pattern Recognition Letters (January 2022)
Saravanan, Vijayalakshmi, . Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis. Presented at the J Ambient Intell Human Comput (January 2022)
Saravanan, Vijayalakshmi, Deep learning assisted convolutional auto-encoders framework for glaucoma detection and anterior visual pathway recognition from retinal fundus . Presented at the J Ambient Intell Human Computing (January 2022)
Saravanan, Vijayalakshmi, Predictive Analytics of Drug Discovery and Early Detection of Infections Using Deep Learning and AI. Presented at the SRP-HPC (January 2022)
Saravanan, Vijayalakshmi, Applying Artificial Intelligence to fundus photography for early detection of diabetic retinopathy . Presented at the USD IdeaFest 2022 (January 2022)
Saravanan, Vijayalakshmi, .A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents. . Presented at the ACM Trans. Asian Low-Resour. Lang. Inf. Process (January 2021)
Saravanan, Vijayalakshmi, SACNN: self-attentive convolutional neural network model for natural language inference. . Presented at the ACM Transactions on Asian and Low-Resource Language Information Processing, 20(3), 1-16. (January 2021)
Saravanan, Vijayalakshmi, Mathematical Modelling of an Application Specific Processor Architecture with Power Optimization. Presented at the IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE (January 2021)
Saravanan, Vijayalakshmi, Sparse self-attentive network-based aspect-aware model for sentiment analysis.. Presented at the J Ambient Intell Human Computing (January 2021)
Saravanan, Vijayalakshmi, Creating Collision-Free Communication in IoT with 6G Using Multiple Machine Access Learning Collision Avoidance Protocol. Presented at the Mobile Netw Appl (January 2021)
Saravanan, Vijayalakshmi, An Efficient Optimizing Hybrid Deep Learning Model for Big Data in Healthcare and Urban Intelligence. Presented at the SRP-HPC (January 2021)
Saravanan, Vijayalakshmi, The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities. Presented at the Sustainable Energy Technologies and Assessments (January 2021)
Saravanan, Vijayalakshmi, Machine learning for mobile network payment security evaluation system. Presented at the Transactions on Emerging Telecommunications Technologies (January 2021)

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