Jul 2014 – Sep 2018 · 4 yrs 2 mos · Greater Delhi Area

• Publications
• 1. [Full Paper] N Sengupta, A Bagchi, S Bedathur, M Ramanath, “Sampling and Reconstruction Using Bloom Filters” IEEE Transactions on Knowledge and Data Engineering (TKDE) 2017
• 2. [Full Paper] N Sengupta, M Hamann, D Wagner, “Benchmark Generator for Dynamic Overlapping Communities in Networks”. IEEE International Conference on Data Mining (ICDM) 2017 New Orleans, Louisiana, USA
• 3. [Short Paper] N Sengupta, A Bagchi, S Bedathur, M Ramanath, “Sampling and Reconstruction Using Bloom Filters”. IEEE International Conference on Data Engineering (ICDE) 2017. San Diego, California, USA
• Projects
• Sampling and Reconstruction Using Bloom Filters : Developed a novel data structure and algorithm to sample an element from a set stored in a compacted data structure.
• Approximating Reachability in Dynamic and Versioned Graph Data : Designed algorithms based on random walks on a graph to answer the reachability query.
• Internships
• IBM Research, India(May 2017 - Jul 2017)
• Extending the Traversal API of the TInkerPop3 framework to support time-based queries on a versioned graph
• Karlsruhe Institute of Technology, Germany (Jul 2016 - Dec 2016)
• Developed a dynamic graph generator that maintains statistical properties like those of real world graphs while simulating events such as emergence and dissolution of communities
• IBM Research, India (May 2016 - Jul 2016)
• Used IBM Genesis, that leverages the benefits of Apache Ignite for efficient processing in massive graphs on a distributed system, to implement a subgraph stream ingestion system for a versioned graph
• IBM Research, India (May 2015 - Jul 2015)
• Chronological Graphs on Spark: Maintenance of massive dynamic graphs in memory using Apache Spark’s GraphX platform. Worked on efficient ingestion of rapidly incoming data and fast querying of Time Varying Graph

Jul 2011 – Jul 2014 · 3 yrs · Greater Hyderabad Area

• Received IBM Certificate of Appreciation for contribution to the Microgrid Management System
• Research Areas
• Data Mining for Smart Grid Applications
• Renewable resources, storage – integration and optimization
• Publications
• 1. [Full Paper] M Jain, H Khadilkar, N Sengupta, Z Charbiwala, K U Tennakoon, R Wahab, L De Silva, DP Seetharam, “Collaborative energy conservation in a microgrid” – BuildSys 2014
• 2. [Full Paper] N Sengupta, S Aloka, B Narayanaswamy, H Ismail, S Mathew, " Time Series Data Mining for demand side Decision Support” Innovative Smart Grid Technologies- Asia (ISGT Asia), 2013
• 3. [Full Paper] DP Seetharam, V Arya, D Chakraborty, ... "Cyber Physical Systems for Smarter Energy Grids: Experiences at IBM Research—India". Journal of the Indian Institute of Science 2013
• 4. [Full Paper] N Sengupta, K Das, TS Jayram, DP Seetharam, "Optimal Allocation of Land Area for a Hybrid Solar Wind Power Plant". IEEE SmartGridComm 2012
• 5. [Full Paper] T Bapat, N Sengupta, S Ghai, V Arya, YB Shrinivasan, DP. Seetharam, "User-sensitive Scheduling of Home Appliances". ACM SIGCOMM Green Networking Workshop 2011
• 6. [Full Paper] VT Chakaravarthy, S Roy, Y Sabharwal, N Sengupta, "Maximizing Throughput of Jobs with Multiple Resource Requirements". International Conference on High Performance Computing 2011
• Projects
• 1. Developed website containing advanced charting and reporting functions with Java backend support. Responsible for usage, maintenance, and administration of Informix time series database with huge volumes of sensor data, software support for multiple hardware sensors and integration of the same into the system
• 2. Responsible for creation, administration, and maintenance of high performance Informix time series database. Developed Java backend for real time relay of data and demand response
• 3. Yupik - Responsible for writing optimization modules for user-sensitive scheduling of home appliances