Program

Friday, January 7, 2022
Fully virtual sessions on AirMeet
	Track 1	Track 2
8:15-8:30am	Opening 1: Opening Remarks by General and Tutorials Chairs Session Chair: Yogesh Simmhan
8:30-10:00am	Tutorial 1: Responsible AI Tutorial Session Chair: Ramanathan Subramanian	Tutorial 2: Cryptographic Techniques for Data Processing Session Chair: Madhumita Mallick
10:00-10:30am	Break
10:30-12:00pm	Tutorial 3: End-to-end Machine Learning using Kubeflow Session Chair: Ramanathan Subramanian	Tutorial 4: Code-Mixed NLG: Resources, Metrics, and Challenges Session Chair: Madhumita Mallick
12:00-1:00pm	Break
1:00-2:30pm	Tutorial 5: Explainability in Deep Learning Session Chair: Ramanathan Subramanian	Tutorial 6: Log and Event analysis using ELK stack Session Chair: Chiranjib Sur
2:30-3:00pm	Break
3:00-4:30pm	Tutorial 7: Quantum Computing and applications in Data Science Session Chair: Chiranjib Sur	Tutorial 8: Green Computing for Big data and Machine Learning Session Chair: Kalapriya Kanan
4:30-5:00pm	Break
5:00-6:30pm	Tutorial 9: Uncertainty Quantification 360: A Hands-on Tutorial Session Chair: Chiranjib Sur	Tutorial 10: Data Science and NLP to extract information in clinical domain Session Chair: Kalapriya Kanan
6:30-7:30pm	Break
7:30-8:45pm	Closing 1: Keynote Session Chair: Srujana Merugu
7:30-8:45pm	Keynote 1: Prof. Cynthia Rudin (Duke University) Scoring Systems: At the Extreme of Interpretable Machine Learning

Saturday, January 8, 2022
Moved to Fully Virtual sessions on AirMeet
8:30-10:15am	Opening 2: Keynote Session Chair: Yogesh Simmhan
8:30-9:00am	Opening Remarks: General Chairs, PC Chairs
9:00-10:15am	Keynote 2: Prof. Jayant Haritsa (IISc) Shedding Light on Opaque Database Queries
10:15-10:30am	Break
10:30-12:00pm	Research-BP: Best Research Paper Finalists’ Session Session Chair: Balaji Vasan Srinivasan
10:30-11:00am	AGGLIO: Global Optimization for Locally Convex Functions Debojyoti Dey, Bhaskar Mukhoty and Purushottam Kar
11:00-11:30am	Universalization of Any Adversarial Attack using Very Few Test Examples Sandesh Kamath, Amit Deshpande, Venkata Subrahmanyam and Vineeth Balasubramanian
11:30-12:00am	Time Series Representation Learning with Contrastive Triplet Selection Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri and Timothy Dinger
12:00-1:00pm	Break
1:00-2:30pm	ADS-BP: Best Applied Data Science (ADS) Paper Finalists’ Session Session Chair: Amith Singhee
1:00-1:30pm	FoodNet: Simplifying Online Food Ordering with Contextual Food Combos Rutvik Vijjali, Deepesh Bhageria, Ashay Tamhane, Mithun T M and Jairaj Sathyanarayana
1:30-2:00pm	ComParE : A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas and Sanjay Agrawal
2:00-2:30pm	Towards Context-based Model Selection for Improved Crop Price Forecasting Ayush Jain, Smit Marvaniya, Shantanu Godbole and Vitobha Munigala
2:30-3:00pm	Break
3:00-4:00pm	Keynote 3: Prof. Vasanthi Srinivasan (IIM-Bangalore) Session Chair: Srujana Merugu
4:00-4:30pm	Closing 2: Awards and Recognitions Session Chairs: Gargi Dasgupta, Yogesh Simmhan

Sunday, January 9, 2022
Fully virtual sessions on AirMeet
	Track 1	Track 2	Track 3
9:00-10:15am	Opening 3: Keynote Session Chair: Shourya Roy
9:00-10:15am	Keynote 4: Prof. Susan Dumais (Microsoft Research Labs, New England) The Importance of Context in Search
10:15-10:30am	Break
10:30-12:00pm	Research 1: Data Management Session Chair: Balaji Ganesan	Demo 1 Session Chair: Alpan Raval	Sponsors’ Session G1 Session Chair: Manoj Agarwal
12:00-1:00pm	Lunch
1:00-2:30pm	ADS 1: NLP Session Chair: Srikanta Bedathur	YRS 1: Video Pitch by YRS students on their posters Session Chair: Bivas Mitra	DNI 2: Panel Discussion & Invited Talks Session Chair: Srujana Merugu
2:30-3:00pm	Break
3:00-4:30pm	Research 2: Information Extraction and ML Session Chair: Diptikalyan Saha	YRS 2: Video Pitch by YRS students on their posters Session Chair: Sriparna Saha	DNI 3: Distinguished Guest Talk & Virtual Mentorship Roundtables Session Chair: Shourya Roy
4:30-5:00pm	Break
5:00-6:30pm	Closing 3: Keynote Session Chair: Gargi Dasgupta
5:00-6:30pm	Keynote 5: Dr. Ruchir Puri (IBM Research, USA) Engineering the future of software with AI

Monday, January 10, 2022
Fully virtual sessions on AirMeet
	Track 1	Track 2	Track 3
9:15-10:30am	Opening 4: Keynote Session Chair: Balaji Vasan Srinivasan
9:15-9:30am	Opening Remarks and Messages
9:30-10:30am	Keynote 6: Prof. Pushpak Bhattacharyya (IITB) “Alice in Wonderland”: Navigating the Landscape of Multilinguality for NLP
10:30-12:00pm	ADS 2: Prediction and Network Analysis Session Chair: Animesh Mukherjee	Tutorial 11: Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow Session Chair: Ramanathan Subramanian	Demo 2 Session Chair: Anirban Chakraborty
12:00-1:00pm	Lunch
1:00-2:30pm	Research 3: Learning, Optimization and NLP Session Chair: Dipanjan Chakraborty	Tutorial 12: Automatic Assessment of Quality of your Data for AI Session Chair: Chiranjib Sur	YRS 3: Virtual Posters by All YRS Students Session Chair: Bivas Mitra
2:30-3:00pm	Break
3:00-4:00pm	ADS 3: Vision and Video Session Chair: Srikrishna Karanam
4:00-4:30pm	Break
4:30-6:30pm	Closing 4: Keynote and Conference Conclusion Session Chair: Maya Ramanath
4:30-5:45pm	Keynote 7: Prof. Tova Milo (Tel Aviv University) Getting Rid of Data
5:45-6:15pm	Indo Language Translation Demo
6:15-6:30pm	Closing remarks

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Technical Program

Best Research Papers Finalists

• Debojyoti Dey, Bhaskar Mukhoty and Purushottam Kar, AGGLIO: Global Optimization for Locally Convex Functions
• Sandesh Kamath, Amit Deshpande, Venkata Subrahmanyam and Vineeth Balasubramanian, Universalization of Any Adversarial Attack using Very Few Test Examples
• Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri and Timothy Dinger, Time Series Representation Learning with Contrastive Triplet Selection

Best Applied Data Science Papers Finalists

• Rutvik Vijjali, Deepesh Bhageria, Ashay Tamhane, Mithun T M and Jairaj Sathyanarayana, FoodNet: Simplifying Online Food Ordering with Contextual Food Combos
• Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas and Sanjay Agrawal, ComParE : A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms
• Ayush Jain, Smit Marvaniya, Shantanu Godbole and Vitobha Munigala, Towards Context-based Model Selection for Improved Crop Price Forecasting

Research 1

20mins for full papers, 10mins for short papers

• Sai Kiran Narayanaswami, Nandan Sudarsanam and Balaraman Ravindran, An Active Learning Framework for Efficient Robust Policy Search (Full)
• Geetika Arora, Shantanu Vichare and Kamlesh Tiwari, IrisIndexNet: Indexing on Iris Databases for Faster Identification (Full)
• Rosario Uceda-Sosa, Nandana Mihindukulasooriya, Atul Kumar, Sahil Bansal and Seema Nagar, Domain specific ontologies from Linked Open Data (LOD) (Short)
• Athul M A and Arun Rajkumar, Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs (Short)
• Diptikalyan Saha, Aniya Aggarwal and Sandeep Hans, Data Synthesis for Testing Black-Box Machine Learning Models (Short)

Research 2

20mins for full papers, 10mins for short papers

• Govind K Gangadhar and Ashish Kulkarni, Extraction of Product Specifications from the Web – Going Beyond Tables and Lists (Full)
• Omkar Shelke, Hardik Meisheri and Harshad Khadilkar, Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget (Full)
• Anubha Kabra, Mehar Bhatia, Yaman Kumar Singla, Junyi Jessy Li and Rajiv Ratn Shah, Calling Out Bluff: Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems (Full)
• Neelamadhav Gantayat and Prateeti Mohapatra, Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach (Short)
• Sourya Dipta Das, Ayan Basak, Soumil Mandal and Dipankar Das, AdvCodeMix: Adversarial Attack on Code-Mixed Data (Short)

Research 3

20mins for full papers, 10mins for short papers

• Jayadev Naram, Tanmay Sinha and Pawan Kumar, A Riemannian Approach to Extreme Classification Problems (Full)
• Sapana Chaudhary and Balaraman Ravindran, Smooth Imitation Learning via Smooth Costs and Smooth Policies (Full)
• Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar and Srikanta Bedathur, VizAI : Selecting Accurate Visualizations of Numerical Data (Full)
• Dwaipayan Roy, Mandar Mitra, Philipp Mayr and Amritap Chowdhury, Local or Global? A Comparative Study on Applications of Embedding Models for Information Retrieval (Short)
• Abhinav Nagpal, Riddhiman Dasgupta and Balaji Ganesan, Fine Grained Classification of Personal Data Entities with Language Models (Short)

ADS 1

20mins for full papers, 10mins for short papers

• Vini Dixit, GCFI++: Embedding and Frequent Itemset based Incremental Hierarchical Clustering with Labels and Outliers, (Full)
• Sumanth Prabhu, Aditya Kiran Brahma and Hemant Misra, Customer Support Chat Intent Classification using Weak Supervision and Data Augmentation, (Full)
• Rohan Sukumaran, Sumanth Prabhu and Hemant Misra, Enhanced Text Classification using Proxy Labels and Knowledge Distillation, (Short)
• Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya and Shitala Prasad, An Intelligent Recommendation-cum-Reminder System, (Full)

ADS 2

20mins for full papers, 10mins for short papers

• Madhav Agrawal, Shubham Sharma, Amit A. Nanavati and Sougata Mukherjea, Study of Equities using Signed Social Network, (Short)
• Gaurav Pawar, Abhinav Ganesan, Ritwik Moghe, Bharat Nayak, Tanya Khanna and Kranthi Mitra Adusimilli, Learning to Predict Two-Wheeler Travel Distance, (Full)
• Sruthikeerthi Nandita R, Goutham Zampani, Gokul S Krishnan, Gitakrishnan Ramadurai and Balaraman Ravindran, Automated Incident Location Identification for EMS from Ambulance Geospatial Data, (Full)
• Abhinav Gupta, Supratim Ghosh and Anulekha Dhara, Deep Reinforcement Learning Algorithm for Fast Solutions to Vehicle Routing Problem with Time-Windows, (Short)

ADS 3

20mins for full papers, 10mins for short papers

• Hetvi Shastri, Dhruvi Lodhavia, Palak Purohit, Ronak Kaoshik and Nipun Batra, Vastr-GAN: Versatile Apparel Synthesised from Text using a Robust Generative Adversarial Network, (Short)
• Varad Srivastava and Ruchilekha, Diagnosing COVID-19 using AI based Medical Image Analysis, (Full)
• Ishaan Lodha, Lakshana Kolur, Keerthan Krishnan, Kumar D, Dinakar Sitaram and Siddhartha Nandi, Cost-Optimized Video Transfer using Real-Time Super Resolution Convolutional Neural Networks, (Full)
• Rohit Ramaprasad and Sundaresan Raman, SEMFD-Net : A Stacked Ensemble for Multiple Foliar Disease Classification, (Short)

Demo 1

20mins for presentations

• Aletheia: A Fake News Detection System for Hindi, Jathin Badam, Akash Bonagiri, Kvln Raju and Dipanjan Chakraborty
• ReviewMT: Sentiment Preserved E-commerce Review Translation System, Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavraj, Nikesh Garera and Asif Ekbal
• Discussion Forum Analyzer: A tool for finding the quality of affirmation and identifying points of intervention in an academic discussion forum, Aparna Lalingkar Lalingkar, Parithimalan A, Advait Lonkar, Prakhar Mishra, Sridhar Mandyam and Srinath Srinivasa
• Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization, Saravanan Krishnan, Alex Mathai, Amith Singhee, Atul Kumar, Shivali Agarwal, Keerthi Narayan Raghunath and Dave Wenk

Demo 2

20mins for presentations

• An Application to Generate Style Guided Compatible Outfit, Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah and Suyash Agarwal
• VPER: Visual Product Entity Recognition for Fashion-wear, Viral Parekh, Surbhi Mathur, Soma Biswas and Karimulla Shaik
• Accurate and Real Time Assisted Cataloging in E-commerce using Dual Images, Haricharan Aragonda, Karimulla Shaik, Harshit Jain and Samir Shah

YRS 1

5 min video pitch for each paper

• Towards Developing Better Object Detectors for Real-World Use, Akshay Gupta and Biplav Srivastava
• Ensemble Learning Approach for Short-term Energy Consumption Prediction, Sujan Reddy A, Akashdeep S, Harshvardhan R and Sowmya Kamath S
• Solving TC-type AWPs using external knowledge & learning, Suresh Kumar and P Sreenivasa Kumar
• A data driven approach for Sanskrit Derivative Nouns analysis, Arun Kumar Singh, Sushant Dave, Shresth Mehta and Prathosh A.P.
• Chemistry Inspired Molecular Representation for Property Prediction, Guna Sekhar Gedela, Joe Bobby and Nirav Bhatt
• Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms, Gadi Jaya Sathwika, Oswald C and Arnab Bhattacharya
• Analysis of Image generation using Scene graphs, Shril Mody and Janvi Thakkar
• Population-centric Profiling with Social Data for Large-scale Epidemiological studies, Reshma Unnikrishnan, Sowmya Kamath and V S Ananthanarayana
• Towards Continuous Respiration Monitoring Using Mask, Neel Patel, Rahul Gupta and Anas Ali
• Image Caption Generator using Siamese Graph Convolutional Networks and LSTM, Athulkumar R, Aarchi Agrawal, K S Ashin Shanly, Sudip Das and Nidhin Harilal
• Indian Classical Music Synthesis, Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni and Mayank Singh
• SciPred: An end to end approach to classify predatory journals, Poorva Satish Bedmutha and Manas Satish Bedmutha

YRS 2

5 min video pitch for each paper

• Local Linearity and Double Descent in Catastrophic Overfitting, Varun Sivashankar and Nikil Selvam
• Making Fractional Distances work in the presence of White Noise – Motivation and Challenges, Namasivayam Kalithasan, Megha Gupta and Balasubramaniam Jayaram
• Fair Federated Learning for Heterogeneous Data, Samhita Kanaparthy, Manisha Padala, Sankarshan Damle and Sujit Gujar
• Probing TryOnGAN, Saurabh Kumar and Nishant Sinha
• Network Enhancement using Spectral Properties, Abhishek Roy and Sandeep Kumar
• Program Synthesis: Does Feedback Help?, Harsh Patel, Shivam Sahni, Varun Jain, Praveen Venkatesh, Mrinal Anand and Mayank Singh
• A SPARQL to Cypher Transpiler: Proposal and Initial Results, Lakshya A Agrawal, Nikunj Singhal and Raghava Mutharaju
• Convergence time analysis of Asynchronous Distributed Artificial Neural Networks, Mauro Dalle Lucca Tosi, Vinu E. Venugopal and Martin Theobald
• Quantum Algorithm for Linear Regression for Large Feature-Set, Amey Kulkarni and Devvrat Joshi
• PPDL – Privacy Preserving Deep Learning Using Homomorphic Encryption, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti and Uttam Kumar
• Towards Building a Flexible Online Learning Model for Data Stream Classification, Deeksha Aggarwal, Uttam Kumar and J. Senthilnath
• VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data, Ankit Gupta, Aashu Khodwal and Nidhi Pal