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Overview

The data and decision sciences team undertakes cutting-edge research in the field of artificial intelligence (AI), machine learning (ML), and analytics to create enterprise automation offerings.

Fields

With an emphasis on autonomous intelligent systems and knowledge systems, the group is working on the following areas:

  • Planning and control: This team works on improving the efficiency of networked operational systems in domains such as transportation, logistics, and supply chain, as well as automating decision-making in competitive, multi-agent situations

  • Knowledge extraction and text and data mining: This group focuses on three areas: extracting information elements such as named entities, relations, and events from given documents; building analytics-based tools for automatic candidate evaluation, performance appraisal mining, trainings recommendation, survey responses mining, and human capital evaluation; and building tools for fraud and money laundering detection in domains such as stock markets and banking

  • Knowledge representation and reasoning: The focus of this team is on learning and reasoning using structured knowledge graphs for complex automation tasks such as question answering and problem resolution for specific domains. The techniques used range from Bayesian hierarchical modelling and probabilistic graphical models, to probabilistic logic, Monte Carlo sampling, and natural language processing (NLP). The goal is to significantly improve the accuracy and efficiency of business operations

  • Natural language processing, text mining, and speech: This team develops user-friendly natural language chat and voice interfaces for business applications to aid the extraction of business intelligence and enable the self-help line of applications

  • Analytics for cyber-physical systems: This group works on developing analytics for cyber-physical systems that have physical sensing and actuation tightly coupled with real-time control. Key result areas include efficient utilities operations, smart mobility management, and smart parking systems

  • Intelligent transportation: This team uses image processing, machine learning, and mobile computing to tackle emerging challenges in transportation

  • Requirements and contracts analysis: The research focus of this group is automating the disambiguation and interpretation of complex texts such as regulations and contracts to solve practical problems in software engineering using NLP, machine learning, and deep learning

People & Patents

  • Research team: Led by Anand Sivasubramaniam, the team includes Harshad Khadilikar; Shripad Salsingkar; Sanjay Bhat; Sharadha Ramanan; Girish Palshikar; Rajiv Srivastava; Manoj Apte; Sachin Pawar; Swapnil Hingmare; Lipika Dey; Indrajit Bhattacharya; Rajesh Jayaprakash; Avinash Achar; Arvind Ramanujam; C. Anantaram; Sunilkumar Kopparapu; Arun Vasan; Srinarayana Nagarathinam; Venkataramakrishna P.; Smita Ghaisas; P. Rajaram; Sangameshwar Patil; Preethu Rose; Abhishek Sainani; Ramasubramanian Suriyanarayanan

  • Academic partners: IIT Madras, India; IIT Bombay, India; IIIT Hyderabad, India; IIT Kharagpur, India
  • Patents: This team has received six patents
  • Publications:

End-to-end Relation Extraction using Neural Networks and Markov Logic Networks

European Chapter of the Association for Computational Linguistics

03/12/2016

Sachin Pawar ,Girish Keshav Palshikar,

 

Aspects from Appraisals! A Label Propagation with Prior Induction Approach

International Conference on Applications of Natural Language to Information Systems

18/04/2016

Nitin Ramrakhiyani ,Sachin Pawar,Girish Keshav Palshikar,Manoj Apte,

 

Why Coarse Class Classification is Bottleneck in Noun Compound Interpretation?

International Conference on Natural Language Processing

01/11/2016

Girish Keshav Palshikar

 

Measuring Topic Coherence through OptimalWord Buckets

European Chapter of the Association for Computational Linguistics

01/02/2017

Nitin Ramrakhiyani ,Sachin Pawar, Swapnil Vishveshwar Hingmire, Girish Keshav Palshikar,

 

WikiLDA: Towards More Effective Knowledge Acquisition in Topic Models using Wikipedia

Knowledge Capture

18/10/2017

Swapnil Vishveshwar Hingmire ,Girish Keshav Palshikar, Abhay Sodani,

 

Concept-based Classification of Software Defect Reports

International Conference on Mining Software Repositories

02/04/2017

Sangameshwar Suryakant Patil

 

Identification of Alias Links among Participants in Narratives

Association for Computational Linguistics

20/04/2018

Girish Keshav Palshikar, Swapnil Vishveshwar Hingmire ,Sachin Pawar, Sangameshwar Suryakant Patil ,

 

Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets

European Conference on Information Retrieval

08/12/2017

Girish Keshav Palshikar ,Sachin Pawar, Nitin Ramrakhiyani, Shashank Gupta,

 

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets

European Conference on Information Retrieval

08/12/2017

Girish Keshav Palshikar, Sachin Pawar, Nitin Ramrakhiyani, Shashank Gupta,

 

Identifying Participant Mentions and Resolving their Coreferences in Legal Court Judgements

International Conference on Text, Speech and Dialogue

16/05/2018

Sachin Pawar, Sangameshwar Suryakant Patil ,Swapnil Vishveshwar Hingmire ,Girish Keshav Palshikar ,Ajay Gupta,Devendra Verma,

 

Resolving Actor Coreferences in Hindi Narrative Text

International Conference on Natural Language Processing

06/10/2018

Nitin Ramrakhiyani ,Swapnil Vishveshwar Hingmire,Sachin Pawar,Sangameshwar Suryakant Patil,Girish Keshav Palshikar,

 

Event Timeline Generation from History Textbooks

Workshop on NLP Techniques for Educational Applications

01/10/2017

Sangameshwar Suryakant Patil ,Swapnil Vishveshwar Hingmire,Girish Keshav Palshikar,Harsimran Bedi,

 

An Unsupervised Approach for Cause-Effect Relation Extraction from Biomedical Text

International Conference on Applications of Natural Language to Information Systems

04/04/2018

Raksha Sharma ,Girish Keshav Palshikar,Sachin Pawar,

 

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Extraction

Workshop on Data and Text Mining in Biomedical Informatics

16/08/2017

Sachin Pawar ,Nitin Ramrakhiyani, Girish Keshav Palshikar, Shashank Gupta,

 

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction

BMC Bioinformatics

13/06/2018

Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Shashank Gupta,

 

A Simple Neural Approach to Spatial Role Labelling

European Conference on Information Retrieval

04/12/2018

Nitin Ramrakhiyani ,Girish Keshav Palshikar,

 

Extracting message sequence charts from software use-case descriptions

Annual Conference of the North American Chapter of the Association for Computational Linguistics

22/02/2019

Girish Keshav Palshikar ,Nitin Ramrakhiyani, Sangameshwar Suryakant Patil, Sachin Pawar, Swapnil Vishveshwar Hingmire,

 

Extracting N-ary Relations Spanning Multiple Sentences using Constrained Subsequence Kernel

International Conference on Computational Linguistics and Intelligent Text Processing

04/03/2019

Sachin Pawar ,Girish Keshav Palshikar,

 

Techniques for Jointly Extracting Entities and Relations: A Survey

International Conference on Computational Linguistics and Intelligent Text Processing

26/02/2019

Sachin Pawar ,Girish Keshav Palshikar,

 

Towards Disambiguating Contracts for their Successful Execution_A Case from Finance Domain

International Joint Conference on Artificial Intelligence

15/05/2019

Preethu Rose Anish, Smita S Ghaisas, Girish Keshav Palshikar, Sachin Pawar, Nitin Ramrakhiyani, Abhishek Sainani,

 

Cold is a Disease and D-cold is a Drug: Identifying Biological Types of Entities in the Biomedical Domain

International Conference on Computational Linguistics and Intelligent Text Processing

01/03/2019

Girish Keshav Palshikar, Raksha Sharma

 

Cause-Effect Relation Extraction from Documents in Metallurgy and Materials Science

Transactions of Indian Institute of Metals

26/02/2019

Girish Keshav Palshikar, Sachin Pawar, Raksha Sharma,

 

Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM

International Conference on Computational Linguistics

17/05/2018

Girish Keshav Palshikar,

 

Medical Concept Normalization by Encoding Target Knowledge

Machine Learning for Health

06/10/2019

Sangameshwar Suryakant Patil ,Girish Keshav Palshikar, Pattisapu Nikhil Priyatam,

 

Enterprise Risk Analytics: Automatic Analysis of Risk Factors from Textual Feedbacks

IEEE International Conference on Systems, Man, and Cybernetics

03/06/2016

Tirthanka ,Lipika Dey,

 

Multi-Label Classification and Analysis of Customer Complaint Logs

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

23/06/2016

Tirthanka, Lipika Dey,

 

Fuzzy Multi-label Classification of Customer Complaint Logs Under Noisy Environment

International Joint Conference on Rough Sets

11/07/2016

Tirthanka, Lipika Dey, Ishan Verma,

 

A Framework for Mining Enterprise Risk and Risk Factors from Text Documents

International Conference on Computational Linguistics

01/10/2016

Lipika Dey, Tirthanka, Rupsa Saha, Prasenjit Dey,

 

Exploring Linguistic and Graph based Features for the Automatic Classification and Extraction of Adverse Drug Effects

International Conference on Computational Linguistics and Intelligent Text Processing

03/03/2017

Tirthanka , Abir Naskar, Lipika Dey,

 

Ontology Guided Purposive News Retrieval and Presentation

International ACM SIGIR Conference on Research & Development on Information Retrieval

31/05/2019

Lipika Dey, Tirthankar Dasgupta ,Abir Naskar, Rupsa Saha,

 

Automatic Segregation and Classification of Inclusion and Exclusion Criteria ofClinical Trials to Improve Patient Eligibility Matching

AAAI Conference on Artificial Intelligence

04/12/2019

Lipika Dey ,Tirthankar Dasgupta ,Abir Naskar,

 

Automatic Segregation and Classification of Inclusion and Exclusion Criteria of Clinical Trials to Improve Patient Eligibility Matching

AAAI Conference on Artificial Intelligence

05/12/2019

Tirthankar Dasgupta ,Abir Naskar,Lipika Dey,

 

Ontology Guided Purposive News Retrieval and Presentation.

Special Interest Group on Information Retrieval

07/06/2019

Lipika Dey ,Rupsa Saha, Abir Naskar,Tirthankar Dasgupta,

 

Database Buffer Cache Simulator to Study and Predict Cache Behavior for Query Execution

International Conference on Data Science, Technology and Applications

18/05/2016

Rekha Singhal ,Chetan Phalak,

 

Efficient Synthetic Data Generator for structured Data-USA

Computer Measurement Group

07/06/2016

Rekha Singhal ,Chetan Phalak,

 

Predicting SQL Query Execution Time for Large Data

International Database Engineering & Applications Symposium

10/05/2016

Rekha Singhal

 

Convergence of Big Data and HPC

TCS Eminence Talk

17/02/2017

Rekha Singhal

 

Big Data Analytics Performance Analysis on HPC Cluster

High Performance Computing Symposium

11/05/2016

Rekha Singhal

 

Performance Analysis of Big Data Systems

International Conference on Performance Engineering

19/11/2016

Rekha Singhal ,Dheeraj Chahal,

 

DB Volume Emulator

Computer Measurement Group

16/11/2016

Rekha Singhal

 

Survey of Big Data Frameworks for Different Application Characteristics

Computer Measurement Group

16/11/2016

Rekha Singhal, Praveen Singh,

 

Scalable IQRA_IG Algorithm: An Iterative MapReduce Approach for Reduct Computation

International Conference on Distributed Computing and Internet Technology

09/09/2016

Praveen Singh

 

Technology Migration Challenges in a Big Data Architecture Stack

International Conference on Performance Engineering

20/01/2017

Rekha Singhal ,Shruti Kunde,

 

SQL Query Volume Performance Estimation Tool(DEMO)

International Conference on Performance Engineering

25/01/2017

Rekha Singhal ,Chetan Phalak,

 

Predicting Job Completion Time In Heterogeneous MapReduce Environments

IEEE International Parallel & Distributed Processing Symposium

02/04/2016

Rekha Singhal

 

Performance Assurance Model for Applications

Springer

20/06/2017

Rekha Singhal ,Praveen Singh,

 

SPARK Job Performance Analysis and Prediction Tool(DEMO)

International Conference on Performance Engineering

13/02/2018

Rekha Singhal ,Chetan Phalak,

 

ABench: Big Data Architecture Stack Benchmark

International Conference on Performance Engineering

15/02/2018

Rekha Singhal

 

Performance Analysis of Big Data System

International Conference on Performance Engineering

23/11/2017

Rekha Singhal, Dheeraj Chahal,

 

Fast Online Next Best Offers using Deep Learning

ACM India Joint Conference on Data Science and Management of Data

28/11/2018

Rekha Singhal ,Gautam Shroff, Sharod Roy Choudhury, Rupinder Singh Virk, Vartika Tewari, Siddharth Verma, Mukund Kumar, Sanket Kadarkar,

 

Accelerating Eigen Pair computation using cuBLAS

Distributed & Embedded High Performance Computing

10/05/2016

Amit Kalele ,

 

Accelerating application of Lattice Gauge Theory using CUDA

Distributed & Embedded High Performance Computing

10/05/2016

Amit Kalele,

 

Cache Blocking using Tiling in a Molecular Dynamics Application

IXPUG

30/08/2016

Benny Mathew

 

DESiDE:Discrete Event Simulation Developers

International Conference on Performance Engineering

25/01/2017

Benny Mathew ,Dheeraj Chahal,

 

Time Of Use Tariff parameter Estimation: A data analysis approach on Multicore Systems

International Conference on Performance Engineering

10/02/2017

Amit Kalele ,

 

Performance Optimization of OpenFOAM on the new Intel® Xeon Phi™ Processor

European Scientific Institute

23/09/2016

Ravi Ojha ,Nishant Kumar Agrawal, Prasad Pawar,

 

OpenFOAM Optimization on KNL

Performance Optimization of OpenFOAM on KNL

30/08/2016

Nishant Kumar Agrawal ,Ravi Ojha, Prasad Pawar,

 

Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation

International Conference on Speech and Computer

15/05/2016

Chitralekha Bhat ,BHAVIK KUMAR VACHHANI, Sunil Kumar Kopparapu,

 

Automatic assesment of dysarthria severity level using audio descriptors

IEEE International Conference on Acoustics, Speech and Signal Processing

12/12/2016

Chitralekha Bhat ,Sunil Kumar Kopparapu, BHAVIK KUMAR VACHHANI,

 

Robust Phonetic Segmentation Using Multi-taper Spectral Estimation for Noisy and Clipped Speech

European Signal Processing Conference

29/05/2016

BHAVIK KUMAR VACHHANI ,Chitralekha Bhat, Sunil Kumar Kopparapu,

 

Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-taper Spectral Estimation

InterSpeech

10/06/2016

Chitralekha Bhat ,BHAVIK KUMAR VACHHANI, Sunil Kumar Kopparapu,

 

Deep Autoencoder based Speech Features for Improved Dysarthric Speech Recognition

InterSpeech

25/05/2017

BHAVIK KUMAR VACHHANI ,Sunil Kumar Kopparapu, Biswajit Das, Chitralekha Bhat,

 

MoPAReST - Mobile Phone Assisted Remote Speech Therapy Platform

InterSpeech

25/05/2017

Chitralekha Bhat ,Sunil Kumar Kopparapu, BHAVIK KUMAR VACHHANI,

 

Phonetic Segmentation Using Knowledge from Visual and Perceptual Domain

International Conference on Text, Speech and Dialogue

15/05/2017

BHAVIK KUMAR VACHHANI ,Sunil Kumar Kopparapu, Chitralekha Bhat,

 

Dysarthric Speech Recognition using Time-delay Neural Network based Denoising Autoencoder

InterSpeech

10/06/2018

Chitralekha Bhat ,BHAVIK KUMAR VACHHANI, Biswajit Das,

 

Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition

InterSpeech

10/06/2018

BHAVIK KUMAR VACHHANI ,Chitralekha Bhat,

 

Automatic Classification of Stages of Alzheimers Disease using Audio Descriptors

International Joint Conference on Artificial Intelligence

15/05/2018

Chitralekha Bhat ,Sunil Kumar Kopparapu, BHAVIK KUMAR VACHHANI,

 

FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors

IEEE Big Data

20/11/2018

Chitralekha Bhat ,Sunil Kumar Kopparapu,

 

On Employing a Highly Mismatched Crowd for Speech Transcription

InterSpeech

10/07/2016

Purushotam Gopaldas Radadia ,Rahul Kumar, Kanika Kalra, Shirish Karande, Sachin Lodha,

 

Integrated analysis of research publications and patents for strategic decision making

Workshop on Data Integration and Applications collocated with ICDM

14/09/2016

Nidhi Saraswat ,Lipika Dey,Ishan Verma,Hemant Gupta,

 

A Graph Analytics Framework for Ranking Authors, Papers and Venues

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

14/06/2016

Arindam PAL

 

Improved Algorithms for the Evacuation Route Planning Problems

Journal of Combinatorial Optimization

15/09/2016

Arindam PAL

 

Understanding the Impact of Early Citers on Long-Term Scientific Impact

ACM/IEEE-CS Joint Conference on Digital Libraries

21/03/2017

Arindam PAL

 

Automatic Catchphrase Identification from Legal Court Case Documents

ACM International Conference on Information and Knowledge Management

06/08/2017

Arindam PAL

 

Measuring Similarity among Legal Court Case Documents

ACM Compute

30/08/2017

Arindam PAL

 

Catch-phrase based Document Representation for Improved Prior Art Search.

ACM India Joint Conference on Data Science and Management of Data

26/10/2018

Nidhi Saraswat ,Ishan Verma,Viren Gupta,

 

Mining company sustainability reports to aid financial decision-making

AAAI Conference on Artificial Intelligence

06/12/2019

Tushar Goel ,Palak Jain, Ishan Verma, Lipika Dey, Shubham Paliwal,

 

Improved Speech Emotion Recognition using Error Correcting Codes

IEEE International Conference on Multimedia and Expo

23/04/2016

Rupayan Chakraborty

 

Knowledge-based framework for intelligent emotion recognition in spontaneous speech

International Conference on Knowledge Based and Intelligent Information and Engineering Systems

30/05/2016

Rupayan Chakraborty

 

ECC ANN and DNN based speech emotion recognition

IEEE International Conference on Systems, Man, and Cybernetics

04/06/2016

Rupayan Chakraborty

 

Spontaneous speech emotion recognition using prior knowledge

International Conference on Pattern Recognition

13/07/2016

Rupayan Chakraborty ,Meghna A Pandharipande, Sunil Kumar Kopparapu,

 

Knowledge driven feed-forward neural network for audio affective content analysis

AAAI Conference on Artificial Intelligence

23/01/2018

Sunil Kumar Kopparapu ,Rupayan Chakraborty ,Sri Harsha Dumpala

 

Audio-Visual Fusion for Sentiment Classification using Cross-Modal Autoencoder

Neural Information Processing Systems

16/11/2018

Sri Harsha Dumpala ,Imran Ahamad Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu,

 

Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech

Neural Information Processing Systems

19/11/2018

Sri Harsha Dumpala ,Sunil Kumar Kopparapu, Rupayan Chakraborty, Imran Ahamad Sheikh,

 

Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities

Association for Computational Linguistics

13/05/2018

Imran Ahamad Sheikh ,Sunil Kumar Kopparapu, Rupayan Chakraborty, Sri Harsha Dumpala,

 

SENTIMENT CLASSIFICATION ON ERRONEOUS ASR TRANSCRIPTS: A MULTI VIEW LEARNING APPROACH

IEEE Spoken Language Technology

03/09/2018

Sri Harsha Dumpala ,Imran Ahamad Sheikh,Rupayan Chakraborty,Sunil Kumar Kopparapu,

 

An Unsupervised Frame Selection Technique For Robust Emotion Recognition In Noisy Speech

European Signal Processing Conference

16/07/2018

Sunil Kumar Kopparapu ,Ashish panda ,Rupayan Chakraborty ,Meghna A Pandharipande ,

 

Robust Front-End Processing For Emotion Recognition In Noisy Speech

International Symposium on Chinese Spoken Language Processing

28/08/2018

Sunil Kumar Kopparapu ,Ashish panda ,Rupayan Chakraborty ,Meghna A Pandharipande ,

 

Improving ASR Robustness to Perturbed Speech using Cycle-Consistent Generative Adversarial Networks

IEEE International Conference on Acoustics, Speech and Signal Processing

01/02/2019

Sri Harsha Dumpala ,Sunil Kumar Kopparapu, Rupayan Chakraborty, Imran Ahamad Sheikh,

 

Vector Taylor Series Expansion with Auditory Masking for Noise Robust Speech Recognition

International Symposium on Chinese Spoken Language Processing

12/08/2016

Ashish panda ,Biswajit Das,

 

Taylor Series Expansion of Psychoacoustic Corruption Function for Noise Robust Speech Recognition

International Conference on Signal Processing

20/07/2016

Ashish panda ,Biswajit Das,

 

ROBUST FRONT-END PROCESSING FOR SPEECH RECOGNITION IN NOISY CONDITIONS

IEEE International Conference on Acoustics, Speech and Signal Processing

12/12/2016

Ashish panda ,Biswajit Das,

Modified Gammatone Frequency Cepstral Coefficients to Improve Spoofing Detection

International Conference on Computing, Communications and Informatics

06/07/2016

Ashish panda

 

INTEGRATING DENOISING AUTOENCODER AND VECTOR TAYLOR SERIES WITH AUDITORY MASKING FOR SPEECH RECOGNITION IN NOISY CONDITIONS

European Signal Processing Conference

18/05/2018

Biswajit Das ,Ashish panda

 

Analysis of the Effect of Speech-Laugh on Speaker Recognition System

InterSpeech

04/06/2018

Sri Harsha Dumpala ,Ashish Panda, Sunil Kumar Kopparapu,

 

Enhanced Denoising Auto-Encoder for Robust Speech Recognition in Unseen Noise Conditions

International Symposium on Chinese Spoken Language Processing

06/08/2018

Sonal Joshi ,Ashish Panda ,Biswajit Das,

 

Robust Front-End Processing For Emotion Recognition In Noisy Speech

International Symposium on Chinese Spoken Language Processing

28/08/2018

Sunil Kumar Kopparapu ,Ashish Panda ,Rupayan Chakraborty ,Meghna A Pandharipande ,

 

An Unsupervised Frame Selection Technique For Robust Emotion Recognition In Noisy Speech

European Signal Processing Conference

16/07/2018

Sunil Kumar Kopparapu ,Ashish Panda ,Rupayan Chakraborty ,Meghna A Pandharipande ,

 

A Machine Learning Approach for Scheduling Railway Networks DS&A

International Conference on Railway Operations Modelling and Analysis

20/01/2017

Harshad Khadilkar ,Shripad Salsingikar, Sudhir Kumar Sinha,

 

Scheduling of Vehicle Movement in Resource-Constrained Transportation Networks using a Capacity-Aware Heuristic DS&A

American Control Conference

20/01/2017

Harshad Khadilkar

 

Freight Train Routing and Scheduling

International Conference of the German Operations Research Society on Operations Research

15/05/2016

Shripad Salsingikar

 

Rule-based Discrete Event Simulation for Optimising Railway Hump Yard Operations

IEEE International Conference on Industrial Engineering and Engineering Management

25/07/2016

Harshad Khadilkar ,Sudhir Kumar Sinha,

 

Data Driven Stochastic Modelling for Evaluating Schedule Robustness of Railway Networks

Transportation Science Journal

20/06/2016

Harshad Khadilkar

 

An iterative bi-level hierarchical approach for train scheduling

Journal of Rail Transport Planning & Management

24/06/2016

Siddhartha SenGupta ,Sudhir Kumar Sinha, Shripad Salsingikar,

 

Analysis and planning of train movements at a complex railway junction DS&A

International Conference on Railway Operations Modelling and Analysis

20/01/2017

Shripad Salsingikar

 

Networked System Operations

GBF IIT Bombay

18/09/2017

Harshad Khadilkar,

 

TCS initiatives in reinforcement learning

IIT Mumbai

26/09/2017

Harshad Khadilkar ,

 

A Scalable Reinforcement Learning Algorithm for Scheduling Railway Lines

IEEE Transactions on Intelligent Transportation Systems

18/04/2018

Harshad Khadilkar,

 

A rolling horizon optimisation model for consolidated hump yard operational planning DS&A TTH-UDR

Journal of Rail Transport Planning & Management

19/09/2018

Sumit Raut ,Sudhir Kumar Sinha, Harshad Khadilkar, Shripad Salsingikar,

 

A Machine Learning and Big Data Solution for Rail Car Wheel Peak Kip Prediction DSA

Institute for Operations Research and the Management Sciences

29/09/2017

Harshad Khadilkar ,Sudhir Kumar Sinha, Shripad Salsingikar,

 

Identification of defective railway wheels from highly imbalanced Wheel Impact Load Detector sensor data DSA UDRTTH

International Conference of the German Operations Research Society on Operations Research

01/06/2019

Shripad Salsingikar, Shravana Kumar Yadav,

 

ICT value chains in the second half of the chessboard

International Conference on Advancement in Automation, Robotics and Sensing

22/06/2016

Siddhartha SenGupta,

 

An adaptive large neighborhood search heuristic for equipment delivery and installation scheduling problem DSA TTHUDR

Workshop of the EURO Working Group on Vehicle Routing and Logistics optimization

27/02/2019

Sudhir Kumar Sinha ,Shripad Salsingikar,

 

Automatic Ranking of Essays Using Structural and Semantic Features

International Conference on Advances in Computing, Communications and Informatics

08/07/2016

Sunil Kumar Kopparapu

 

Robust Vowel Landmark Detection using Epoch-based Features

InterSpeech

10/06/2016

Sri Harsha Dumpala

 

Use of Vowels in Discriminating Speech-laugh from Laughter and Neutral Speech

InterSpeech

10/06/2016

Sri Harsha Dumpala

 

Repairing General-Purpose ASR Output to Improve Accuracy of Spoken Sentences in Specific Domains Using Artificial Development Approach

International Joint Conference on Artificial Intelligence

23/04/2016

Chandrasekhar Anantaram ,Sunil Kumar Kopparapu,

 

Improved Speaker Recognition System for Stressed Speech using Deep Neural Networks

The International Joint Conference on Neural Networks

05/02/2017

Sri Harsha Dumpala ,Sunil Kumar Kopparapu,

 

Formalizing and Verifying Natural Language System Requirements using Petri Nets and Context based Reasoning

International Joint Conference on Artificial Intelligence

13/07/2018

Aishwarya Chhabra, Chandrasekhar Anantaram, Amit Sangroya,

 

Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot

International Joint Conference on Artificial Intelligence

13/07/2018

Amit Sangroya ,Pratik Saini, Mrinal Rawat, Chandrasekhar Anantaram,

 

Repairing ASR output by Articial Development and Ontology based Learning

International Joint Conference on Artificial Intelligence

13/07/2018

Chandrasekhar Anantaram ,Aishwarya Chhabra,Mrinal Rawat,Amit Sangroya,

 

Delay Tolerant Routing Protocol for Heterogeneous Marine Vehicular Adhoc Networks

IEEE International Conference on Pervasive Computing and Communications

22/12/2016

Subhasri Duttagupta

 

Performance Modeling of IoT applications

Computer Measurement Group

10/10/2016

Subhasri Duttagupta

 

Performance Analysis

International Conference on the Internet of Things

07/08/2016

Subhasri Duttagupta ,Manoj Karunakaran Nambiar, Mukund Kumar,

 

Estimating Effective Web Server Response Time

International Conference on Information System Engineering

13/02/2017

Mehul Nalin Vora ,Dhaval Shah1,

 

Workload Dependent Fault Analysis

International Symposium on Software Reliability Engineering

16/08/2017

Mehul Nalin Vora, Manoj Karunakaran Nambiar,

 

Lightweight Web Service Dependency Tool

International Conference on COMmunication Systems and NETworkS

03/12/2018

Dhaval Shah1 ,Manoj Karunakaran Nambiar,

 

Service Demand Modeling and Prediction with Single-user Performance Test

ACM Compute

02/09/2016

Manoj Karunakaran Nambiar ,Ajay Kattepur,

 

Service Demand Modeling and Prediction with Single-user Performance Tests P

Performance Evaluation

01/03/2017

Ajay Kattepur ,Manoj Karunakaran Nambiar,

 

ATA: Architecture-based Technology Advisor for Functional Application Domains

IEEE International Systems Conference

22/12/2017

Shruti Kunde, Chetan Phalak, Rekha Singhal, Manoj Karunakaran Nambiar,

 

LSTM based Encoder Decoder for Multi-sensor Anomaly Detection

International Conference on Machine Learning

11/05/2016

Gaurangi Anand, Anusha Ramakrishnan, Pankaj Malhotra,

 

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

10/07/2016

Pankaj Malhotra ,Lovekesh Vig,Puneet Agrawal,Gautam Shroff,

 

TimeNet: Pre-trained deep recurrent neural network for time series classification

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

31/01/2017

Pankaj Malhotra ,Puneet Agrawal,Gautam Shroff,Lovekesh Vig,

 

Bayesian Networks for Interpretable Health Monitoring of Complex Systems

International Joint Conference on Artificial Intelligence

08/06/2017

Vishnu TV ,Narendhar Gugulothu, Pankaj Malhotra, Lovekesh Vig, Puneet Agrawal, Gautam Shroff,

 

Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

09/07/2017

Narendhar Gugulothu ,Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agrawal, Gautam Shroff,

 

CSRS: A Context and Sequence Aware Recommendation System

Forum for Information Retrieval Evaluation

24/10/2016

Rajiv Radheyshyam Srivastava ,Swapnil Vishveshwar Hingmire, Girish Keshav Palshikar, Saheb Chourasia,

 

Time Up! Predictive Models for Project Team Member Release

International Conference on Business Analytics and Intelligence

15/08/2016

Kuleshwar Sahu ,Girish Keshav Palshikar, Rajiv Radheyshyam Srivastava,

 

Role Models: Mining Role Transitions Data in IT Project Management

IEEE International Conference on Data Science and Advanced Analytics

29/07/2016

Girish Keshav Palshikar ,Sachin Pawar, Nitin Ramrakhiyani,

 

Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals

International Conference on Computational Linguistics and Intelligent Text Processing

03/03/2017

Girish Keshav Palshikar ,Sachin Pawar, Saheb Chourasia, Nitin Ramrakhiyani,

 

Analytics-led Talent Acquisition

IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence

12/02/2017

Swapnil Vishveshwar Hingmire ,Girish Keshav Palshikar, Rajiv Radheyshyam Srivastava,Sachin Pawar, Mahek Shah,

 

Whats Next A Recommendation System for Industrial Training

Data Science for Human Capital Management

06/09/2017

Rajiv Radheyshyam Srivastava, Girish Keshav Palshikar, Saheb Chourasia,

 

NEW APPROACHES OF RESUME SECTIONING FOR AUTOMATING TALENT ACQUISITION

International Conference on Business Analytics and Intelligence

17/09/2017

Mahek Shah ,Girish Keshav Palshikar,Rajiv Radheyshyam Srivastava,

 

Analytics-led Talent Acquisition for Improving Efficiency and Effectiveness

Springer

19/01/2018

Rajiv Radheyshyam Srivastava ,Mahek Shah, Ankita Jain, Swapnil Vishveshwar Hingmire, Sachin Pawar,Girish Keshav Palshikar, Saheb Chourasia,

 

Whats Next A Recommendation System for Industrial Training

Data Science and Engineering

11/09/2018

Rajiv Radheyshyam Srivastava ,Girish Keshav Palshikar, Saheb Chourasia,

 

Automatic Shortlisting of Candidates in Recruitment

Workshop on Professional Search

25/05/2018

Girish Keshav Palshikar ,Rajiv Radheyshyam Srivastava, Mahek Shah, Sachin Pawar,

 

Identification of Repeated Sections within Documents

Computacion y Sistemas

01/05/2019

Girish Keshav Palshikar ,Rajiv Radheyshyam Srivastava, Sachin Pawar, Mahek Shah,

 

Identification of Repeated Sections within Documents

International Conference on Computational Linguistics and Intelligent Text Processing

31/03/2019

Girish Keshav Palshikar ,Rajiv Radheyshyam Srivastava, Sachin Pawar Mahek Shah,

 

A Semantic Overlapping Clustering Algorithm for Analyzing Short-Texts

International Joint Conference on Rough Sets

11/07/2016

Lipika Dey ,Kunal Ranjan, Ishan Verma, Abir Naskar,

 

Email Repository Analysis – Learning from communications

International Conference on Computational Linguistics and Intelligent Text Processing

03/03/2017

Lipika Dey ,Kunal Ranjan, Shashank Mittal, Gargi Roy,

 

Framework for Analyzing and Improving Quality of Available Data for Enterprise Automation Tasks

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

28/07/2019

Lipika Dey ,Mohammad Shakir ,Tirthankar Dasgupta, Aninda Sukla, Gargi Roy, Geetika Sharma,

 

Learning Multi-Label Classification from Data Annotated with Unique Labels

International Conference on Computational Linguistics and Intelligent Text Processing

22/02/2019

Gargi Roy ,Lipika Dey,

 

Learning to Identify Subjective Sentences

International Conference on Natural Language Processing

01/11/2016

Girish Keshav Palshikar ,Manoj Apte, Deepak Pandita,

 

Weakly Supervised Classification of Tweets for Disaster Management

Social Media for Emergency Relief and Preparedness

06/03/2017

Girish Keshav Palshikar, Manoj Apte, Deepak Pandita,

 

Weakly Supervised and Online Learning of Word Models for Classification to Detect Disaster Reporting Tweets

Information Systems Frontiers

22/02/2018

Girish Keshav Palshikar ,Manoj Apte, Deepak Pandita,

 

High Performance Computing and Big Data Analytics for solving Computational Challenges across Many Domains

BRICS Young Scientist Forum

25/08/2016

Nishant Kumar Agrawal

 

Quantifying The Impact of Electric Vehicles On The Electric Grid - A Simulation Based Case-Study

ACM e-Energy

28/03/2017

Arvind Ramanujam ,Pandeeswari, Arunchandar Vasan, Rajesh Jayaprakash, Venkatesh Sarangan, Anand Sivasubramaniam,

 

Use of Social Media for Traffic Information in Indian Cities

Transportation Research Journal

25/10/2017

Ramasubramanian Suriyanarayanan ,Rajesh Jayaprakash,

 

Predicting Vehicular Travel times by Modeling Heterogeneous Influences between Arterial Roads

AAAI Conference on Artificial Intelligence

08/11/2017

Avinash Achar ,Venkatesh Sarangan, Rohith R, Anand Sivasubramaniam,

 

Bus Arrival Time Prediction: A Spatial Kalman Filter Approach

IEEE Transactions on Intelligent Transportation Systems

11/03/2019

Avinash Achar

 

Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations

The International Joint Conference on Neural Networks

08/03/2019

Avinash Achar ,Rohith R,

 

Detecting, Quantifying and Accessing impact of News events on Indian Stock Indices

International Conference on Web Intelligence

26/06/2017

Ishan Verma ,Lipika Dey, Hardik Meisheri,

 

CNN-LSTM Model at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

07/07/2017

Hardik Meisheri ,Rupsa Saha,Priyanka Sinha,Lipika Dey,

 

Multi-structured Data Analytics using Interactive Visualization to aid Business Decision Making

ACM Compute

30/08/2017

Ishan Verma ,Lokendra Singh,

 

CrimeProfiler: Crime Information Extraction and Visualization from News Media

International Conference on Web Intelligence

06/06/2017

Tirthanka ,Abir Naskar,Rupsa Saha,Lipika Dey,

 

DemandMiner: Automatic Extraction and Visualization of Product Demands from Open Web

European Conference on Semantics Systems

12/07/2017

Tirthanka ,Rupsa Saha,Abir Naskar,Lipika Dey,

 

Sentiment Extraction from Consumer-Generated Noisy Short Texts

IEEE International Conference on Data Mining

10/10/2017

Hardik Meisheri ,Kunal Ranjan,Lipika Dey,

 

A System for Analysis, Visualization and Retrieval of Crime Documents

ACM India Joint Conference on Data Science and Management of Data

15/11/2019

Tirthankar Dasgupta ,Rupsa Saha ,Lipika Dey,Abir Naskar,

 

Detecting, Quantifying and Accessing impact of News events on Indian Stock Indices

International Conference on Web Intelligence

26/06/2017

Ishan Verma ,Lipika Dey, Hardik Meisheri,

 

CNN-LSTM Model at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

07/07/2017

Hardik Meisheri, Rupsa Saha, Priyanka Sinha, Lipika Dey,

 

Multi-structured Data Analytics using Interactive Visualization to aid Business Decision Making

ACM Compute

30/08/2017

Ishan Verma ,Lokendra Singh,

 

CrimeProfiler: Crime Information Extraction and Visualization from News Media

International Conference on Web Intelligence

06/06/2017

Tirthanka, Abir Naskar, Rupsa Saha, Lipika Dey,

 

Enterprise Contextual Awareness from News and Social Media - A Framework

International Conference on COMmunication Systems and NETworkS

09/11/2017

Lipika Dey ,Ishan Verma,

 

Multi-Document Summarization using Distributed Bag-of-Words Model

International Conference on Web Intelligence

30/09/2018

Ishan Verma ,Hardik Meisheri, Lipika Dey, Kaustubh Mani,

 

Air pollutant severity prediction using Bi-directional LSTM Network

International Conference on Web Intelligence

30/09/2018

Ishan Verma ,Hardik Meisheri,Lipika Dey,Rahul Ahuja,

 

Event-based Predictive Analytics for Financial Data

International Conference on Web Intelligence

01/09/2018

Lipika Dey, Ishan Verma

 

Hi-SPEED: A System for Mining Performance Appraisal Data and Text

IEEE International Conference on Data Science and Advanced Analytics

25/07/2017

Girish Keshav Palshikar, Manoj Apte, Sachin Pawar, Nitin Ramrakhiyani,

 

Topic Segmentation in ASR Transcripts using Bidirectional RNNs for Change Detection

IEEE Automatic Speech Recognition and Understanding Workshop

31/08/2017

Imran Ahamad Sheikh

 

An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition

International Conference on Speech and Computer

23/05/2017

Sri Harsha Dumpala

 

A novel approach for effective learning in low resourced scenarios

Neural Information Processing Systems

02/11/2017

Sri Harsha Dumpala ,Rupayan Chakraborty, Sunil Kumar Kopparapu,

 

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios

International Joint Conference on Artificial Intelligence

16/04/2018

Sri Harsha Dumpala ,Rupayan Chakraborty,Sunil Kumar Kopparapu,

 

Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech

Neural Information Processing Systems

19/11/2018

Sri Harsha Dumpala ,Sunil Kumar Kopparapu, Rupayan Chakraborty, Imran Ahamad Sheikh,

 

Audio-Visual Fusion for Sentiment Classification using Cross-Modal Autoencoder

Neural Information Processing Systems

16/11/2018

Sri Harsha Dumpala ,Imran Ahamad Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu,

 

Analysis of the Effect of Speech-Laugh on Speaker Recognition System

InterSpeech

04/06/2018

Sri Harsha Dumpala ,Ashish panda,Sunil Kumar Kopparapu,

 

Knowledge driven feed-forward neural network for audio affective content analysis

AAAI Conference on Artificial Intelligence

23/01/2018

Sunil Kumar Kopparapu ,Rupayan Chakraborty ,Sri Harsha Dumpala

 

Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities

Association for Computational Linguistics

13/05/2018

Imran Ahamad Sheikh ,Sunil Kumar Kopparapu, Rupayan Chakraborty, Sri Harsha Dumpala,

 

SENTIMENT CLASSIFICATION ON ERRONEOUS ASR TRANSCRIPTS: A MULTI VIEW LEARNING APPROACH

IEEE Spoken Language Technology

03/09/2018

Sri Harsha Dumpala ,Imran Ahamad Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu,

 

Improving ASR Robustness to Perturbed Speech using Cycle-Consistent Generative Adversarial Networks

IEEE International Conference on Acoustics, Speech and Signal Processing

01/02/2019

Sri Harsha Dumpala ,Sunil Kumar Kopparapu, Rupayan Chakraborty, Imran Ahamad Sheikh,

 

Contextualizing Customer Complaints by Identifying Latent Beliefs and Tailoring a Chatbot Dialog through Epistemic Reasoning

International Joint Conference on Artificial Intelligence

02/08/2017

Chandrasekhar Anantaram ,Amit Sangroya,

 

PROWL: Towards Predicting the Runtime of BatchWorkloads

International Conference on Performance Engineering

09/02/2018

Dheeraj Chahal

 

Sentiment Extraction from Consumer-Generated Noisy Short Texts

IEEE International Conference on Data Mining

10/10/2017

Hardik Meisheri ,Kunal Ranjan,Lipika Dey,

 

Mining Financial Risk Events from News and Assessing their impact on Stocks

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

16/07/2019

Saumya Bhadani ,Ishan Verma,Lipika Dey,

 

Finding Shell Company Accounts using Anomaly Detection

ACM India Joint Conference on Data Science and Management of Data

15/10/2017

Girish Keshav Palshikar ,Manoj Apte,

 

Synthesizing Data for Collusion-based Malpractice of Shell Companies in Money Laundering

International Conference for Convergence of Technology (I2CT)

15/07/2018

Aditi Pawde ,Manoj Apte,Girish Keshav Palshikar,

 

Causality : An Overlooked Aspect in Anomaly Detection

IEEE Tencon

06/08/2019

Sushodhan Vaishampayan ,Manoj Apte,Girish Keshav Palshikar,

 

An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres

American Control Conference

28/01/2019

Vinita Baniwal ,Harshad Khadilkar, Dheeraj Shah, Padmakumar M,

 

A Reinforcement Learning Solution for the Container Selection and Sequencing Problem in Ports

International Conference on Autonomous Agents and Multiagent Systems

23/01/2019

Richa Verma ,Puneet Agrawal, Gautam Shroff, Harshad Khadilkar, Sarmimala,

 

Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning

International Conference on Autonomous Agents and Multiagent Systems

23/01/2019

Souvik Barat ,Vinay Kulkarni, Vinita Baniwal, Hardik Meisheri, Harshad Khadilkar, Monika Gajrani, Prashant Kumar,

 

Learning representations for sentiment classification using Multi-task framework

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

04/09/2018

Hardik Meisheri ,Harshad Khadilkar,

 

MABS Workshop: Reinforcement Learning of Supply Chain Control Policy using Closed Loop Multi-Agent Simulation

International Conference on Autonomous Agents and Multiagent Systems

13/03/2019

Harshad Khadilkar ,Souvik Barat ,Prashant Kumar, Monika Gajrani, Hardik Meisheri, Vinita Baniwal, Vinay Kulkarni,

 

Reinforcement Learning for Large and Variable Scale Problems using Improvement Based Rewards

International Joint Conference on Artificial Intelligence

28/05/2019

Richa Verma ,Harshad Khadilkar,Abhik Ray,

 

Deep RL Workshop: Accelerating Training in Pommerman with Imitation and Reinforcement Learning

Neural Information Processing Systems

01/10/2019

Hardik Meisheri ,Richa Verma, Omkar Shelke, Harshad Khadilkar,

 

A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing

AAAI Conference on Artificial Intelligence

07/12/2019

Richa Verma ,Aniruddha Singha, Harshad Khadilkar, Ansuma Basumatary, Swagat Kumar, Harsh Singh, Rajesh Sinha, Siddharth Nayak,

 

Using Reinforcement Learning for a Large Variable-Dimensional Inventory Management Problem

International Conference on Autonomous Agents and Multiagent Systems

26/03/2020

Hardik Meisheri ,Harshad Khadilkar, Vinita Baniwal, Nazneen Sultana,

 

Optimising a Real-time Scheduler for Railway Lines using Policy Search

International Conference on Autonomous Agents and Multiagent Systems

26/03/2020

Harshad Khadilkar ,Rohit Prasad,

 

HiSPEED: a system for mining performance appraisal data and text

International Journal of Data Science and Analytics

06/06/2018

Girish Keshav Palshikar ,Manoj Apte, Sachin Pawar, Nitin Ramrakhiyani,

 

Analyzing behavioral trends in community driven discussion platforms like Reddit

International Conference on Advances in Social Networks Analysis and Mining

05/08/2018

Sachin ,Hardik Meisheri, Ishan Verma, Arnab Chaterjee, Lipika Dey,

 

A Hierarchical Clustering Algorithm for Characterizing Social Media Users

ACM International World Wide Web Conference

13/02/2020

Priyanka Sinha ,Dilys Thomas, Lipika Dey,

 

Correlation between strategic and operational risk mitigation strategies in supply networks - Journal

International Journal of Production Economics

17/04/2018

Srinivasan Ramakrishnan ,Jeffrey Tew,

 

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services

ACM India Joint Conference on Data Science and Management of Data

27/09/2018

Shubhadip Mitra

 

Optimal Algorithms for Min-Closed, Max-Closed and Arc Consistency over Connected Row Convex Constraints

ACM Compute

05/10/2017

Shubhadip Mitra

 

DemandMiner: Extraction and Visualization of Product Demands from Open Web

European Conference on Semantics Systems

09/06/2017

Tirthankar Dasgupta ,Srinivasan Ramakrishnan, Lipika Dey,

 

PyMOSO: Software for multi-objective simulation optimization with R-PERLE and R-MinRLE

INFORMS Journal on Computing

28/03/2019

Kyle Cooper

 

Bi-objective simulation optimization on integer lattices using the epsilon-constraint method in a retrospective approximation framework

INFORMS Journal on Computing

14/06/2019

Kyle Cooper,

 

An introduction to multi-objective simulation optimization

ACM Transactions on Modeling and Computer Simulation

10/12/2018

Kyle Cooper,

 

PlumeWalk: Towards Threat Provenance Localization for IoT Networks

International Conference on COMmunication Systems and NETworkS

07/12/2018

Rajeev Shorey, Devadatta Kulkarni, Jeffrey Tew,

 

Decentralised Image Sharing and Copyright Protection using Blockchain and Perceptual Hashes

International Conference on COMmunication Systems and NETworkS

11/12/2018

Rajeev Shorey,

 

An epsilon-constraint method for integer-ordered bi-objective simulation optimization

Winter Simulation Conference

16/06/2017

Kyle Cooper

 

Machine Learning & Concept Drift Based Approach for Malicious Website Detection

International Conference on COMmunication Systems and NETworkS

30/09/2019

Rajeev Sirohi ,Rajeev Shorey

 

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services

ACM India Joint Conference on Data Science and Management of Data

27/09/2018

Shubhadip Mitra

 

Optimal Algorithms for Min-Closed, Max-Closed and Arc Consistency over Connected Row Convex Constraints

ACM Compute

05/10/2017

Shubhadip Mitra

 

An introduction to multi-objective simulation optimization

ACM Transactions on Modeling and Computer Simulation

10/12/2018

Kyle Cooper

 

An epsilon-constraint method for integer-ordered bi-objective simulation optimization

Winter Simulation Conference

16/06/2017

Kyle Cooper

 

IoT security - A tutorial

IEEE Global Communications Conference

29/10/2019

Rajeev Sirohi, Rajeev Shorey

 

Deep-Split: Dynamic Splitting of Collaborative Edge-Cloud Convolutional Neural Networks

International Conference on COMmunication Systems and NETworkS

30/10/2019

Rajeev Sirohi ,Rajeev Shorey

 

Energy Efficient Assembly Line Demonstration

International Conference on COMmunication Systems and NETworkS

05/11/2019

Devadatta Kulkarni

 

Decoding Regulatory Obligations in Healthcare

International Conference on Software Engineering

10/04/2019

Preethu Rose Anish ,Smita S Ghaisas, Abhishek Sainani, Vivek Joshi,

 

Implementation-centric Classification of Business Rules from Documents

IEEE Requirements Engineering Conference

01/08/2019

Preethu Rose Anish ,Abhishek Sainani, Ahmed Abdul, Smita S Ghaisas,

 

Towards Disambiguating Contracts for their Successful Execution A Case from Finance Domain

International Joint Conference on Artificial Intelligence

12/06/2019

Preethu Rose Anish ,Abhishek Sainani, Nitin Ramrakhiyani, Sachin Pawar, Girish Keshav Palshikar,Smita S Ghaisas,

 

The Future of Smart Parking Systems with Parking 4.0: Creating Smarter Mobility Networks

White Papers

08/02/2019

Prasant Misra ,Arunchandar Vasan, Balasubramaniam Krishnan, Venkatachari Srinivasa Raghavan,Anand Sivasubramaniam,

 

The Future of Smart Parking Systems with Parking 4.0

GetMobile: Mobile Computing and Communications Review

06/03/2019

Prasant Misra ,Anand Sivasubramaniam,Venkatachari Srinivasa Raghavan, Balasubramaniam Krishnan,Arunchandar Vasan,

 

City Scale Monitoring of On-Street Parking Violations with StreetHAWK

ACM BuildSys

01/08/2019

Prasant Misra ,Anand Sivasubramaniam,Sunil Komadam Krishnakumar,Arunchandar Vasan,Alok Ranjan,

 

Travel Smooth with MOBIX: An Intelligent Mobility Exchange

White Papers

19/12/2019

Prasant Misra ,Arunchandar Vasan,Anand Sivasubramaniam,

 

Good set-points make good neighbors - User seating and temperature control in uberized workspaces

ACM BuildSys

07/09/2018

Srinarayana Nagarathinam ,Arunchandar Vasan,Anand Sivasubramaniam,Rajesh Jayaprakash,Venkatesh Sarangan,

 

One for all, All for one - a scalable decision-making framework for demand response with a district cooling plant

ACM BuildSys

01/08/2019

Srinarayana Nagarathinam ,Arunchandar Vasan, Venkatesh Sarangan, Sermisha, Anand Sivasubramaniam, Harihara Subrahmaniam,

 

Energy efficient thermal comfort in open-plan office buildings

Elsevier - Energy and Buildings

13/01/2017

Srinarayana Nagarathinam ,Doddi Harish, Arunchandar Vasan,Venkatesh Sarangan,Venkata Ramakrishna P,

 

Incentive Design for Demand Response Based on Building Constraints A Utility Perspective

ACM BuildSys

18/09/2017

Kundan Kandhway ,Arunchandar Vasan, Srinarayana Nagarathinam, Venkatesh Sarangan, Anand Sivasubramaniam,

 

Sense and sensibility - The utility of HVAC sensors for large zones

Elsevier - Energy and Buildings

09/12/2016

Venkata Ramakrishna P, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam, Srinarayana Nagarathinam,

 

Suncover: Estimating the Hidden Behind-the-meter Solar Rooftop and Battery Capacities in Grids

IEEE- Innovative Smart Grid Technologies Conference

29/11/2018

Venkata Ramakrishna P ,Venkatesh Sarangan,Anand Sivasubramaniam,

 

Learning Knowledge Graph Schema via Dialog

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

30/03/2018

Indrajit Bhattacharya, Gautam Shroff,

 

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