Publications (Journals, Conferences, Workshops)
18. Huy Tran, Abhishek Mukherji, Nirupama Bulusu, Santosh Pandey, Xu Zhang: Improving Infrastructure-based Indoor Positioning Systems with Device Motion Detection. IEEE PerCom 2019 (Best Industry Track Paper Award)
17. Abhishek Mukherji, Vinay Raghuram, Huy Tran, Santosh Pandey, Nirupama Bulusu: CommuterScanner: Towards Smart Indoor Positioning Systems in Urban Transportation. IEEE COMSNETS - Machine Intelligence in Networked Data and Systems (MINDS) Workshop 2019.
16. Abhishek Mukherji, Xika Lin, Ermal Toto, Christopher R. Botaish, Jason Whitehouse, Elke A. Rundensteiner, Matthew O. Ward: FIRE: A Two-level Interactive Visualization for Deep Exploration of Association Rules. International Journal of Data Science and Analytics (JDSA) 2018.
15. Alex Mariakakis, Vijay Srinivasan, Kiran Rachuri, Abhishek Mukherji: WatchUDrive: Differentiating drivers and passengers using smartwatches. IEEE PerCom Workshops 2016
14. Sougata Sen, Kiran K. Rachuri, Abhishek Mukherji, Archan Misra: Did you take a break today? Detecting playing foosball using your smartwatch. IEEE PerCom Workshops 2016
13. Xika Lin, Abhishek Mukherji, Elke A. Rundensteiner, Matthew O. Ward: SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration. PVLDB 7(13) Journal 2014
12. Abhishek Mukherji, Elke A. Rundensteiner, Matthew O. Ward: Facilitating Interactive Mining of Global and Local Association Rules. ACM PIKM@CIKM 2014
11. Abhishek Mukherji, Elke A. Rundensteiner, Matthew O. Ward: COLARM: Cost-based Optimization for Localized Association Rule Mining. EDBT 2014
10. Vijay Srinivasan, Saeed Moghaddam, Abhishek Mukherji, Kiran K. Rachuri, Chenren Xu, Emmanuel Munguia Tapia: MobileMiner: mining your frequent patterns on your phone. ACM UbiComp 2014 (Best Paper Nominee Award, Samsung Best Paper Award)
9. Abhishek Mukherji, Vijay Srinivasan, Evan Welbourne: Adding intelligence to your mobile device via on-device sequential pattern mining. ACM UbiComp Adjunct 2014
8. Vijay Srinivasan, Saeed Moghaddam, Abhishek Mukherji, Kiran K. Rachuri, Chenren Xu, Emmanuel Munguia Tapia: On-Device Mining of Mobile Users’ Co-Occurrence Patterns. ACM HotMobile 2014.
7. Xika Lin, Abhishek Mukherji, Elke A. Rundensteiner, Carolina Ruiz, Matthew O. Ward: PARAS: A Parameter Space Framework for Online Association Mining. PVLDB 6(3) Journal 2013
6. Abhishek Mukherji, Xika Lin, Jason Whitehouse, Christopher R. Botaish, Elke A. Rundensteiner, Matthew O. Ward: FIRE: interactive visual support for parameter space-driven rule mining. ACM CIKM 2013
5. Abhishek Mukherji, Jason Whitehouse, Christopher R. Botaish, Elke A. Rundensteiner, Matthew O. Ward: SPHINX: rich insights into evidence-hypotheses relationships via parameter space-based exploration. ACM CIKM 2013
4. Abhishek Mukherji, Xika Lin, Christopher R. Botaish, Jason Whitehouse, Elke A. Rundensteiner, Matthew O. Ward, Carolina Ruiz: PARAS: interactive parameter space exploration for association rule mining. ACM SIGMOD 2013
3. Abhishek Mukherji, Elke A. Rundensteiner, Matthew O. Ward: Achieving High Freshness and Optimal Throughput in CPU-Limited Execution of Multi-join Continuous Queries. BNCOD 2011
2. Abhishek Mukherji, Elke A. Rundensteiner, David C. Brown, Venkatesh Raghavan: SNIF TOOL: sniffing for patterns in continuous streams. ACM CIKM 2008
1. Venkatesh Raghavan, Elke A. Rundensteiner, John Woycheese, Abhishek Mukherji: FireStream: Sensor Stream Processing for Monitoring Fire Spread. IEEE ICDE 2007
Patents (Granted and Pending at USPTO)
1. Context-aware Compliance Monitoring (US Patent 9747778)
2. Automatic Semantic Labeling Based on Activity Recognition (US Patent 9565521)
3. Context-aware Hypothesis-driven Aggregation of Crowd-sourced Evidence for a Subscription-based Service (US Patent 9648089)
4. Sequential Behavior-based Content Delivery (US Patent 9871876)
5. Location Accuracy Assessment and Remediation for Indoor Positioning System Deployments (Application 16/029000)
6. Motion Detection for Passive Indoor Positioning System (Application 16/103781)
7. Precise Access Point Placement and Location Measurement (Application 16/178042)
8. Benchmarking and Measurement of Location Accuracy Using Crowdsourced Data (Application 16/181906)
9. Device Location Classification Using Data Collected by Wireless Access Points (Application 16/196701)
10. Partial Phase Vectors as Network Sensors (Application 16/356662)
11. Characterizing Movement Behaviors of Wireless Nodes in a Network (Application 16/250,043)
12. Location-Based, Context-Aware Challenge-Response Authentication (Application 16/273947)
13. Offloading location computation from cloud to access point (AP) with projection on base phase vectors (Application 16/380705)
14. Improving Scalability of Location in the cloud with angle-of-arrival search on the edge (Application 16/380668)