Education
University of California, Los Angeles, CA
Ph.D. in Computer Science, June 2006.
Ph.D. Thesis: Design of Embedded Systems using Data-Driven Statistical Techniques.
University of California, Los Angeles, CA
M.S. in Computer Science, December 2002.
Master's Thesis: Non-Parametric Statistical Techniques for Forensic Engineering.
University of California, Los Angeles, CA
B.S in Computer Science and Engineering, June 2000.
Work Experience
Assistant Professor, Department of Computer Science
Stony Brook University (Sept. 2006 - current)
- Pervasive Computing and Mobility: Working on creation of peer-to-peer pervasive computing application which aims to characterize mobility movement of data through mobile phones. Deployment and use will enable characterization of peer-to-peer movement and behaviors. Establishing algorithm to achieve data delivery guarantees in mobile wireless networks based on real world mobility traces. Packet forwarding is performed to wireless routers along the anticipated mobility path.
- Node Desynchronization for Wireless Networks: Creating desynchronization algorithms for low power wireless node communication. Applications of the approach include enhanced throughput routing, improved guarantee and time overhead for sensor node reprogramming.
- Exploitation of Mobile Agents in Multi-tiered Sensor Networks: Goals are enhancing the lifetime, throughput, and overall operation of a multi-tiered sensor network through active distributed path planning of mobile agents.
- Data-driven
Mobility Models: In the development of a statistics-based
model of mobility with maximum likelihood non-linear object
positioning, optimal polynomial approach for compact object
trajectories, Markov Chain-based high-level movement models.
Applications of the Model include Mobility-based routing, Broadcast, Multicast
and Aggregation, and Resource and Power Management.
Research Assistant, Department of Computer Science
University of California, Los Angeles (June 2000-June 2006)
Summer Associate, RAND Corporation (June 2002 Sept. 2002)Inter-Sensor Modeling: Developed statistical models that take into account physical, chemical and biological laws to predict readings of sensors. Developed new symmetric monotonic regression technique for multiple sensor prediction. Analyzed and explored mutual correlations of sensor readings to enhance modeling accuracy. Applied and analyzed the application of inter-sensor statistical models for power saving optimization applications such as sensor node assignment. Statistical Models of Lossy Links: Developed density estimation based techniques for characterization of lossy links in wireless low power ad-hoc networks in indoor and outdoor environments. Analyzed the relationship between localized algorithms and network protocols and communication properties of links. Conducted a study on the statistical temporal properties of links in low power wireless communications. Analyzed the impact of statistical temporal properties on routing protocols. Non-parametrical Statistical Techniques for Characterizing Interconnect Networks in Deep Sub-micron Designs: Built statistical model for accurate prediction of likelihood of interconnect length prior to routing. Analyzed model prediction abilities using the buffer insertion problem. Developed an a priori wirelength estimation approach using rigorous statistical modeling and validation techniques. Analyzed the approach on two new applications for a priori total wirelength predictions: rapid exploration of the placement solution space and identification of placement invariant long nets. Interconnect Optimization Using Architectural Transforms: Developed an efficient Integer Linear Programming approach to minimizing necessary interconnects through the use of deflection operations. Optimized interconnect in terms of power and area. Probabilistic Constructive Optimization Paradigm: Developed an Optimization Paradigm, Probabilistic Constructive, for Combinatorial Optimization Problems. Applied approach to two generic Optimization Problems: Graph Coloring and Boolean Satisfiability and two CAD-related problems: Sequence Covering and Template Matching. Intellectual Property Protection for VLSI and CAD Tools: Developed a system of Intellectual Property Protection techniques. The techniques provide sound mathematical proof of their effectiveness and ensure complete credibility and fairness. The techniques was applied to a variety of canonical design problems.
PublicationsInvestigated the processing requirements for Automatic Target Recognition (ATR) systems for Project Air Force. Studied the trade-offs between on-board and on-the-ground processing for ATR on unmanned aircrafts. Presented the technology limitations and expectations for the future development on ATR systems.
Please see Publications
Teaching and Advising Experience
- CSE 594 Special Topics in CS: Embedded Systems (Fall 2008)
- CSE 320 - Computer Architecture (Spring 2008)
- CSE 523 - Intro To Software Engineering Project Plan (Fall 2007)
- CSE 220 Computer Organization (Fall 2007)
- CSE 592 Special Topics in CS: Design and Analysis of Embedded Systems (Spring 2007)
- CSE 690 Special Topics in CS: Embedded Systems (Fall 2006)
Honors and Awards