• Venues : IIT Madras, Chennai - 600036
  • Posters: ICSR AC Dining Hall
• Time : 1400-1830
• Date : 18th April (Wednesday)

Poster Titles

1. Evaluation of Clustering Algorithms for the Prediction of Trends in Bus Travel Time Hima Elsa Shaji, Arun K. Tangirala and Lelitha Devi Vanajakshi
2. Identification of Reaction Systems using Spectroscopic Measurements and Micro-reactors Manokaran V, Sridharakumar Narasimhan, Nirav P Bhatt
3. Deciphering metabolism of Bifidobacterium spp. with constraint based genome scale models Devika N.T., Karthik Raman
4. Systematic comparison of NGS pipelines using five gold standard datasets (HG001 - HG005) Likith Reddy P, Priyanka Maripuri, Karthik Raman
5. Classification and identification of tumour suppressor genes and oncogenes Malvika Sudhakar, Karthik Raman, Raghunathan Rengaswamy
6. A systems-theoretic approach towards finding design principles for biological networks capable of adaptation Priyan Bhattacharya, Arun K. Tangirala, Karthik Raman
7. RAIL: Risk-averse Imitation Learning S. Avancha, D. Mudigere, D. Das, B. Ravindran, Abhishek Naik Anirban Santara, B. Kaul
8. Identification of FIR Models for LTI Multiscale Systems using Sparse Optimization Techniques Vivek Shankar Pinnamaraju, Arun K. Tangirala
9. DCEIL: Distributed Community Detection with the CEIL Score Akash Jain, Rupesh Nasre, B. Ravindran
10. Sparse Tensor Decomposition for Multiplex Networks Deepak Maurya, Manikandan Narayanan
11. Training a Deep Learning Architecture for Vehicle Detection Using Limited Heterogeneous Traffic Data Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran
12. Network-based Features Enable Prediction of Essential Genes Across Diverse Organisms A. Karthik, Karthik Raman, B. Ravindran
13. Towards Exploiting Structured and Unstructured Background Knowledge for Building Conversation Systems Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh Khapra
14. Affordance Learning: A developmental learning approach Priyatosh Mishra, B. Ravindran
15. Towards a Better Metric for Evaluating Question Generation Systems Preksha Nema, Mitesh Khapra
16. Smoother Imitation with Lipschitz Costs Sapana Chaudhary, Akshat Dave, B. Ravindran
17. Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal, Shweta Bharadwaj, Mitesh Khapra, B. Ravindran
18. Code mixing in goal oriented conversation systems Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh Khapra
19. Representation Learning in Hypergraphs Tarun Kumar, B. Ravindran
20. A Novel Topic Modelling Based Weighting Framework for Class Imbalance Learning S. Santhiappan, J. Chelladurai, B. Ravindran
21. Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning Sahil Sharma, Girish Raguvir J, Srivatsan Ramesh, Balaraman Ravindran
22. Edge Replacement Grammars : A Formal Language Approach for Generating Graphs Revanth Reddy, Balaraman Ravindran
23. Kinetic Modeling of Hyaluronic acid Production based on Experimental Data Mythili A., Sreeja S. Doss, Guhan Jayamanan, Nirav Bhatt
24. Root cause analysis of interacting stable systems Mohd Faheem Ullah, Raghunathan Rengaswamy
25. Model identification for control using historical data Manikandan S, Raghunathan Rengaswamy
26. Input reconstruction using process data and first principles model Danny Raj M, Venkataraman N V, Raghunathan R
27. Optimal Bidding using Reinforcement Learning for Commodity Markets Satya Jayadev P, Manu SH, Ramkrishna Pasumarthy, Nirav Bhatt
28. Target prediction of microRNA miR-34b from TCGA cervical cancer data Ashley Xavier , Nalini Venkatesan, Himanshu Sinha , Karunagaran
29. Graph-theoretic and experimental framework to study microbial communities Aarthi Ravikrishnan, Meghana Nasre, Lars M Blank, Smita Srivastava, Karthik Raman
30. Identification of driver genes across tumor samples in a Pan-cancer study Shayantan Banerjee, Karthik Raman, B. Ravindran
31. Designing Modular Gene Circuits Pradeep Natarajan, Saransh Umale, Karthik Raman, Raghunathan Rengaswamy
32. What is the Right Sample Size for Fixed Horizon Online Experiments? Balaji Pitchaikannu and Nandan Sudarsanam
33. Improved Insights on Financial Health Using Auto Regressive Hidden Markov Models Dibu John Philip and Nandan Sudarsanam
34. An Experimental Study for Leak detection by in intermittent Water Distribution Networks Prasanna Mohan Das, Murthy B.S, Shankar Narasimhan, Sridhar kumar Narasimhan
35. Eliminet : A model for eliminating options for reading comprehension with MCQs Ananya Sai, Preksha Nema, Mitesh Khapra, Soham Parikh
36. Natural Language Generation from Structured Data Shreyas Shetty, Preksha Nema, Parag Jain, Anirban Laha, Karthik Sankara Narayanan, Mitesh Khapra