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,
