I am a computer scientist and data scientist and have organized my research activities around two tracks: a Data Science track and a Data Management, Mining and Modeling (i.e., machine learning/AI) track. With the Data Science track, my team engages with real-world problems that can benefit from AI powered and data scientific solutions, consisting of all data life-cycle components from data collection and extraction, to management and querying, to learning and mining, to visualization and storytelling, all given various combinations of the V3 Big Data challenges: Volume, Velocity and Variety. In particular, my lab has extensive experience with developing AI based intelligent decision-making systems in various application areas, such as health informatics, personalized medicine, computational biology, intelligent edge computing and IoT, intelligent transportation, smart infrastructures, and geospatial analysis, using variety of data types including sequence, time series, network/graph, spatiotemporal, tabular, image and video data. The Data Science track complements the Data Management, Mining and Modeling track by providing practical real-world problems, which my team generalizes, formalizes, and rigorously studies as novel data management and mining, as well as machine learning/AI problems. I have published more than 120 referred papers and has received several awards, including 5 Best Paper awards. I frequently serves as a senior program committee member in AI, data science and database conferences (including KDD, ICLR, IJCAI, SIGMOD, VLDB, ICDE and SIGSPATIAL), and have also chaired many workshops and conferences over last few years. My research has been supported by grants from both governmental agencies (NIH, NSF, DOE, DOD, DOT, DoEd, DOJ and NASA) and industry (Google, IBM, Chevron, Intel and United Healthcare). In the past, I have worked on a number of DDSs from various application areas (including, health, energy, safety and security, transportation, and scientific computing). My research has been supported by grants from both governmental agencies (NSF/CENS, NIH/CTSI, DOT/METRANS, DOJ/NIJ, NASA/JPL) and industry (Google, IBM, Chevron, NGC).
Links to: Publications, Research Projects, Teaching, Services
All my current projects are presented on my lab website.
Past projects include:
- iWatch (Multi-Modal and Multi-Source Event Detection System for Effective Surveillance of Criminal Activities)
- POCM (Point-of-Care Mobility Monitoring)
- DOR (Real-time Data-driven Oil Recovery Optimization)
- TransDec (Real-time Transportation Decision Making)
- GeoSIM (Crowdsourcing Documentation of the Urban Texture - A Mobile Computing Application)
- GeoDA (Geospatial Data Analysis)
- GeoDec (Geospatial Decision Making)
My current students are listed on my lab website.
Past Mentees:
- Leyla Kazemi (PhD studnet)
- Houtan Shirani-Mehr (PhD Student)
- Ugur Demiryurek (PhD student)
- Bei Pan (PhD Student)
- Dafei Yin (PhD student)
- Yosuke Shimizu (MS student)
- Laksh Gupta (MS student)
- Nicholas Bopp (undergraduate student)