Latest Updates

• • [Feb 2019] Lumme is shortlisted to present at 2019 BIO CEO & Investor Conference in New York city.

  • [Feb 2019] Lumme presents the results of randomized clinical trial of Lumme's smoking cessation platform at SRNT 2019 in San Francisco.

  • [Dec 2018] Lumme is selected for MassChallenge HealthTech 2019 cohort in Boston.

  • [Jul 2017] A chapter titled Detecting Eating and Smoking Behaviors Using Smartwatches published in a graduate textbook by Springer.

  • [Nov 2016] Congratulations Swadhin Pradhan! Our paper got accepted for INFOCOM 2017. In this paper, we present a new automated system that is designed to manage unwanted notifications on smartphones.

  • [Oct 2016] "What's that you are wearing?" Founders of Lumme gave a talk, at the TEDx Springfield 2016 event, about the upcoming technology that will help people lead a healthy life. [VIDEO]

  • [Oct 2016] Going beyond monitoring app crashes and slow actions: A complete new approach in Mobile App Analytics to monitor end-to-end user experience in completing tasks using mobile apps. Our RECKON mobile app analytics framework presented in SmartObjects workshop at MobiCom 2016.

  • [Jun 2016] A new hierarchical span-based CRF approach for segmenting events in wearable sensor data published in ICML 2016. Congratulations Roy Adams from UMass-Amherst who led this work.

Biography

I joined Lumme Inc. in October 2015 to develop a mobile health application designed to help people who are trying to quit smoking. This product is based on my Ph.D. research work on smoking detection using wearable inertial sensors. This project is funded by a Direct-to-Phase II NIH SBIR Contract Award.

I received my Ph.D. from University of Massachusetts Amherst in 2014 and bachelors degree from Indian Institute of Technology, Kanpur in 2005. During my PhD, I was advised by Prof. Deepak Ganesan and I was a member of Sensor Networks Research Group. For my M.S., I worked with Prof.Gerome Miklau in the area of Database Privacy research at UMass-Amherst. Prior to that, I worked at IBM India Research Labs, New Delhi (2005-2007). Most recently, I worked at HP Labs between Oct 2014 - Oct 2015 as a researcher in Networking and Mobility Group.

Research

My primary focus area of research is context-aware mobile computing. In my research, I work at the intersection of machine learning and big-data analytics over multi-modal sensor data to build mobile health applications.

Book Chapter

• • Abhinav Parate, Deepak Ganesan, Detecting Eating and Smoking Behaviors Using Smartwatches, In Mobile Health: Sensors, Analytic Methods, and Applications, edited by James M. Rehg, Susan A. Murphy, & Santosh Kumar. [Springer]

List of Patents

• • Akshaya Shanmugam, Deepak Ganesan, Christopher Donovan Salthouse, Sherry Ann McKee

  • Systems and methods for health monitoring, [Patent]

  • Abhinav Parate, Kyu-Han Kim

  • Extracting task flows from application usage records , [Patent]

  • Swadhin Pradhan, Abhinav Parate, Kyu-Han Kim,

  • Mobile device notification scheduling , [Patent]

  • Ioannis Pefkianakis, Abhinav Parate, Shruti Sanadhya,

  • Occupancy Sensing, [Patent]

  • Uma Parthavi MoravaPalle, Shruti Sanadhya, Abhinav Parate, Kyu-Han Kim,

  • Device Throughput determination, [Patent]

List of Publications

• • Swadhin Pradhan, Lili Qiu, Abhinav Parate, Kyu-Han Kim,

  • Understanding and managing notifications,

  • Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM 2017). [PDF]

  • Abhinav Parate, Puneet Jain, Kyu-Han Kim,

  • Reckon: An Analytics Framework for App Developers,

  • Proceedings of the 2nd International Workshop on Experiences with the Design and Implementation of Smart Objects (SmartObjects-MobiCom). ACM, 2016. [PDF]

  • Roy Adams, Nazir Saleheen, Abhinav Parate et. al.

  • Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams,

  • Proceedings of the 33rd International Conference on Machine Learning (ICML 2016).[PDF]

  • Uma Parthavi Moravapalle, Shruti Sanadhya, Abhinav Parate, Kyu-Han Kim,

  • Pulsar: Improving Throughput Estimation in Enterprise LTE Small Cells,

  • Proceedings of the 11th International Conf. on emerging Networking EXperiments and Technologies (CoNEXT 2015).[PDF]

  • Gustavo Angarita, Annamalai Natarajan, Edward Gaiser, Abhinav Parate, Benjamin Marlin, Ralitza Gueorguieva, Deepak Ganesan, Robert Malison,

  • A remote wireless sensor network/electrocardiographic approach to discriminating cocaine use,

  • Drug and Alcohol Dependence 146 (2015): e209.[PDF]

  • Abhinav Parate, Meng-Chieh Chiu, Chaniel Chadowitz, Deepak Ganesan, Evangelos Kalogerakis,

  • RisQ: Recognizing Smoking Gestures with Inertial Sensors on a Wristband,

  • Proceedings of the 12th International Conf. on Mobile Systems, Applications and Services (MobiSys 2014). [PDF]

  • Abhinav Parate, Matthias Böhmer, David Chu, Deepak Ganesan, Benjamin Marlin,

  • Practical Prediction and Prefetch for Faster Access to Applications on Mobile phones,

  • Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing (UbiComp 2013). [PDF]

  • Abhinav Parate, Meng-Chieh Chiu, Deepak Ganesan, Benjamin Marlin,

  • Leveraging Graphical Models to Improve Accuracy and Reduce Privacy Risks of Mobile Sensing,

  • Proceedings of the 11th International Conf. on Mobile Systems, Applications and Services (MobiSys 2013). [PDF]

  • Annamalai Natarajan, Abhinav Parate, Gustavo Angarita, Edward Gaiser, Robert Malison, Deepak Ganesan, Benjamin Marlin,

  • Detecting Cocaine Use with Wearable Electrocardiogram Sensors,

  • Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing (UbiComp 2013). [PDF]

  • Abhinav Parate and Gerome Miklau,

  • A Framework for Safely Publishing Communication Traces,

  • Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009). [PDF]

  • Abhinav Parate and Gerome Miklau,

  • A Framework for Safely Publishing Communication Traces,

  • University of Massachusetts, Amherst. Technical Report 2009. [PDF]

  • Abhinav Parate and Gerome Miklau,

  • A Framework for Utility-Driven Network Trace Anonymization,

  • University of Massachusetts, Amherst. Technical Report 2008. [PDF]

  • Abhinav Parate, Ashish Verma and Jayanta Basak,

  • Evaluation of Syllable Stress using Single Class Classifier,

  • Proceedings of the 8th Annual Conference of the International Speech Communication Association (Interspeech 2007), Antwerp, Belgium. [PDF Link]

  • Abhishek Chandel, Abhinav Parate, Himanshu Pant, Maymon Madathingal, Nitendra Rajput, Shajith Ikbal, Om Deshmukh, Ashish Verma,

  • Sensei: Spoken English Assessment for Call Center Agents,

  • Automatic Speech Recognition & Understanding (ASRU 2007), Kyoto, Japan. [CONTACT AUTHOR]