My research endeavour broadly revolves around (A) Systems sensing and mining & (B) Social and complex networks mining.
(A) Systems sensing: Mobile affective computing is one of my significant and unique research contribution. In this project, we developed smartphone based emotion detection framework, which determines emotions (say, stress, depression etc) based on keyboard interaction pattern. Moreover, we leverage on the user's smartphone & wearable engagements to detect her physical activities, as well as mine her ambience and mobility contexts. The gained expertise in systems allowed me to develop smartphone based assistive technology for commuters in public & private transport systems. This includes the development of (i) navigation system in public buses in the absence of GPS, (ii) generate a rich annotated city transit map with minimal GPS usage, (iii) route recommendation systems for commuters based on their own comfort definition. I have developed a unique expertise to work at the interface of data science and system science. For instance, sudden slowdown or shutdown of large scale enterprise applications affect a large population of customers. We proposed AI driven methodologies for early detection of anomalies & troubleshooting in large-scale systems.
(B) Social network mining: We investigated various structural and dynamical behaviors of social network through the lens of data science and network science. For instance, we developed analytical frameworks for modelling the cascade formation considering both retweet and mention activities in Twitter. Moreover, in the context of event-based social network (say, Meetup), we developed a deep learning based venue recommendation system, which provides context driven venue recommendations for the Meetup event-hosts to organize the popular upcoming events. Additionally, we have made few fundamental contributions in complex network and data science. For instance, we developed a fast and scalable network embedding framework, which is capable of generating high quality embeddings for billion scale networks.
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On the Role of Micro-categories to Characterize Event Popularity in Meetup Bhowmick A. K., Pramanik S. , Pathak S. , Mitra B. By ICWSM 2021 - (2021)
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On the Network Embedding in Sparse Signed Networks Bhowmick A., Meneni K. , Mitra B. By PAKDD 2019 94-106 (2019)
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Exploring Smartphone Keyboard Interactions for Experience Sampling Method driven Probe Generation (short paper) Ghosh S., Mandi S. , Mitra B. , De P. By IUI 2021 - (2021)
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LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Graph Embedding Bhowmick A. K., Meneni K. , Guillaume J. , Danisch M. , Mitra B. By WSDM 2020 43-51 (2020)
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Deep Learning driven Venue Recommender for Event-based Social Networks Pramanik S., Haldar R. , Kumar A. , Pathak S. , Mitra B. By IEEE Transactions on Knowledge and Data Engineering (TKDE) 32 2129-2143 (2020)
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Temporal Sequence of Retweets Help to Detect Influential Nodes in Social Networks Bhowmick A. K., Gueuning M. , Delvenne J. , Lambiotte R. , Mitra B. By IEEE Transactions on Computational Social Systems 6 - (2019)
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Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns Chatterjee S., Bhowmik A. , Singh A. , Ghosh S. , Mitra B. , Chakraborty S. By PerCom 2020 1-8 (2020)
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On the Splitting Dynamics of Meetup Social Groups (short paper) Bhowmick A. K., Pramanik S. , Pathak S. , Mitra B. By ICWSM 2020 929-933 (2020)
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GroupSense: A Lightweight Framework for Group Identification Das S., Chatterjee S. , Chakraborty S. , Mitra B. By IEEE Transactions on Mobile Computing 18 - (2019)
Principal Investigator
- Anomaly Detection using Logs
- Behavior Modeling in Multi-sensor Environments - Integrating Environment Sensing, Human Sensing and Social Sensing for Rich Insights
- Model Development for Storage System Troubleshooting and Workload Characterization
- StressSense: Developing a Framework for Early Detection of Stress and Depression from Smartphone Engagements
- SysFix: Building an End-to-end Troubleshooting Solution for Large-scale Systems with Automated Failure diagnosis, Root cause analysis and
Remediation
Co-Principal Investigator
- Computational Aspects and Role of Content for Persuasive Brand Positioning Adobe Systems Inc
- Development of Algorithms and Tools for Log Analytics and Vulnerability Assessment Indira Gandhi Centre For Atomic Research (IGCAR)
- Google Unrestricted Fund for Social Computing GOOGLE INDIA PRIVATE LIMTED
- Identifying topical experts on twitter Yahoo
- Real Time Failure Prediction System NetApp India Private Limited
- Unrestricted Travel Grant Various Institutes/Organisations
Ph. D. Students
Arpan Dam
Area of Research: Social Networks
Debasree Das
Area of Research: Developing Smart Transportation system
Salma Mandi
Area of Research: Affective Computing
Sugandh Pargal
Area of Research: Ubiquitous Computing
MS Students
Harsh Borse
Area of Research: Artificial Intelligence for IT Operations (AIOps)
Tarannum Ara
Area of Research: Ubiquitous computing
