Conferences

1. Barathi Subramanian*, Rathinaraja Jeyaraj*, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis Langlotz, Andrew Y. Ng, Jeanne Shen, “STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology,” The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS) 2025. *Equally contributed
   
2. Rathinaraja Jeyaraj, Barathi Subramanian, Songmi Noh, Mitch Peterson, Terry Guo, George Fisher, Jeanne Shen, “A Novel AI-Powered Preprocessing Framework for Maximizing Whole-Slide Image Dataset Quality for Machine Learning Applications,” Pathology Research Retreat, Department of Pathology, Stanford University, California, USA, 2025.
   
3. Barathi Subramanian, Rathinaraja Jeyaraj, Songmi Noh, Mitch Peterson, Terry Guo, George Fisher, Jeanne Shen, “Generating Morphologically Diverse, Class-Balanced Training Datasets for Enhanced Histopathologic Tissue-Type Classification,” Pathology Research Retreat, Department of Pathology, Stanford University, California, USA, 2025.
   
4. Rathinaraja Jeyaraj, Barathi Subramanian, Songmi Noh, Mitch Peterson, Terry Guo, George Fisher, Thomas Montine, Jeanne Shen, “Artificial intelligence-based tile preprocessing for more effective whole-slide image tissue segmentation,” 2nd Annual Congress of the Asian Society of Digital Pathology (ASDP), Mumbai, India, 2025.
   
5. Barathi Subramanian, Rathinaraja Jeyaraj, Songmi Noh, Mitch Peterson, Terry Guo, George Fisher, Thomas Montine, Jeanne Shen, “A novel training sample collection framework for improving the performance of multi-tissue type classification in histopathology,” 2nd Annual Congress of the Asian Society of Digital Pathology (ASDP), Mumbai, India, 2025.
6. Rathinaraja Jeyaraj, Aobo Jin, Hilary Emerson, Daniel I. Kaplan, and Hardik A. Gohel, “Application of a GRU-Based Deep Learning Model to Environmental Monitoring at Complex Sites,” 50th WM Symposia, Phoenix, Arizona, USA, March 2024.
7. Rathinaraja Jeyaraj, Aobo Jin, Hilary Emerson, and Hardik A Gohel, “BTS-GANs: Impute Missing Values to Improve Predictive Modelling Power in Climate Change,” 50th WM Symposia, Phoenix, Arizona, USA, March 2024.
8. Karnam Yogesh, Aobo Jin, Rathinaraja Jeyaraj, Hilary Emerson, and Hardik A Gohel, “Analyzing Seq2Seq and Transformer Models for Time Series Forecasting in Climate Change Modeling at Hanford Site,” 50th WM Symposia, Phoenix, Arizona, USA, March 2024.
9. Aobo Zhou, Michael Stassi, Maulin Raval, Rathinaraja Jeyaraj, Aobo Jin, Hilary Emerson, and Hardik A. Gohel, “Utilizing U-Net Architecture for Advanced Climate Modelling at Hanford Site,” 50th WM Symposia, Phoenix, Arizona, USA, March 2024.
10. Rathinaraja Jeyaraj, Barathi Subramanian, Karnam Yogesh, Aobo Jin, and Hardik A Gohel, “YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks,” IEEE 3rd International Conference on AI in Cybersecurity (ICAIC), Houston, Texas, USA, pp. 1-6, February 2024. 
11. M.Shyamala Devi, J.Arun Pandian, D.Umanandhini, Aayush Kumar Sakineti, and Rathinaraja Jeyaraj, “Meat Freshness State Prediction Using a Novel Fifteen Layered Deep Convolutional Neural Network,” 1st International Conference on Data Science and Network Engineering (ICDSNE), Agartala, India, pp 111-123, July 2023.  
12. Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak, “Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study,” 19th Australasian Data Mining Conference (AusDM), Melbourne, Australia, November 2021.
13. Rathinaraja Jeyaraj, Ananthanarayana V S, Anand Paul, “MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase,” 18th IEEE/ACIS International Conference on Computer and Information Science (ICIS), Beijing, China, June 2019.
14. Rathinaraja Jeyaraj, Ananthanarayana V S, “Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment,” 16th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), Kunming, China, pp. 211-218, June 2018.
15. Rathinaraja Jeyaraj, Ananthanarayana V S, “Multi-Level Per Node Combiner (MLPNC) to Minimize MapReduce Job Latency on Virtualized Environment,” 33rd ACM Symposium on Applied Computing (SAC), Pau, France, pp. 167-174, April 2018.
16. Ganeshkumar Pugalendhi, Rathinaraja Jeyaraj, T.Aruldoss Albert Victoire, “A Combined MI-AVR Approach for Informative Gene Selection,” IEEE International Conference on Sustainable Energy and Intelligent Systems, Chennai, Tamil Nadu, pp. 870-875, 2011.
17. Rathinaraja Jeyaraj, Ganeshkumar Pugalendhi, “Workflow Scheduling using Heuristics-based Ant Colony Optimization,” SUNIIST, Nagerkovil, Tamil Nadu, pp. cse106, 2011.