Fourth RBCDSAI Workshop on Recent Progress in Data Science and AI

RBC-DSAI is organizing its fourth workshop on Recent Progress in Data Science and AI on May 10, 2019.
  • Venue : IIT Madras, Chennai - 600036
    • Posters: ICSR AC Dining Hall
  • Time : 15:30-18:30
  • Date : 10th May (Friday)
  • *Refreshment at 4pm

Poster Titles

  1. Rapid identification of reaction systems using spectroscopic measurements and microreactors Manokaran V, Sridharakumar Narasimhan, Nirav Bhatt
  2. Analysis of experimental conditions, measurement strategies and model identification approaches on parameter estimation in plug flow reactors Manokaran V, Tirthankar Sengupta, Sridharakumar Narasimhan and Nirav Bhatt
  3. Operation of Intermittent Water Distribution Networks Pavan Kotha, Sridharakumar Narasimhan
  4. Feature Selection in unlabelled spectroscopic data Yadav Ritik Ranjan, Sridharakumar Narasimhan, Nirav Bhatt.
  5. IoT enabled smart water network Saravanan Chinnusamy, Prasanna Mohandoss, Rohit Raphael, Sridharakumar Narasimhan.
  6. MaMiC : Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
  7. SEEL: Sample Efficient Ensemble learning Rohan Saphal, Balaraman Ravindran,Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
  8. Framework for Privacy preserving Deep Learning Patanjali SLPSK, Harish Reddy, Pratyush Kumar Panda, Chester Rebeiro and Kamakoti. V
  9. Developing the India-specific model for estimating gestational age in the first trimester in GARBH-Ini cohort. Nikhita Damaraju, Ramya Vijayram, Himanshu Sinha.
  10. A Web-Based Tool for Optimal Operation of Water Distribution Networks. Rohit Bokam, Varghese Kurian, Sridharakumar Narasimhan
  11. Incorporating structural information to improve dialogue response generation. Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, and Mitesh M. Khapra
  12. MATLAB Toolbox for Dynamic Iterative Principal Component Analysis(DIPCA) under Errors-In-Variables(EIV) Framework. Ranjeet Nagarkar, Sai Krishna Madhav Lella, Lokesh Rajulapati, Shankar Narasimhan, Arun Tangirala
  13. Identification of Error in Variables Model using Dynamic Iterative PCA for MIMO systems. Shanttam Jain, Shankar Narasimhan
  14. Corridor level mobility analysis using Wi-Fi data. Sharmili Banik, V. Lelitha Devi, and Bhargava Rama Chilikuri.
  15. Dealing with Heteroscedastic Noise in Matrix Factorization methods. Ashwin V, Shankar Narasimhan
  16. Injury severity prediction model for two-wheeler crashes at midblock road sections. Anju k Panicker, Gitakrishnan Ramadurai
  17. Successor Options: An Option Discovery Framework for Reinforcement Learning: Rahul Ramesh, Manan Tomar, Balaraman Ravindran.