http://research.sethi.org/ricky

My research projects tend to be inter-disciplinary in nature. I conduct research in machine learning, computer vision, social computing, and science learning/social eLearning. I rely upon fundamental ideas from theoretical computational science to address significant research problems in these areas. My PhD thesis mainly utilized stochastic, physics-based, neurobiologically-inspired models for computer vision but I've also conducted research in the areas of physics education research, collaborative intelligence, and financial modelling.

Current Research Projects

My projects are:

1. Human Action Image
2. Phase Space Analysis:
   1. Multi-Resolution Phase Space descriptor for Activity Recognition
   2. Crowd Analysis in Phase Space
   3. Collaborative Intelligence in Phase Space
3. Data-Driven Hamiltonian Monte Carlo
4. Hamiltonian Energy Signatures for Activity Recognition
5. Threaded Discussion Analysis and Social Computing
6. Argumentation and Social Learning
7. Physics Education Research
8. Financial Modelling

Ricky's Google Scholar Profile

1. Ayelet Baram-Tsabari, Ricky J. Sethi, Lynn Bry, and Anat Yarden (2006).
   Using questions sent to an Ask-A-Scientist site to identify childrens interests in science. Science Education. 
2. Ayelet Baram-Tsabari, Ricky J. Sethi, Lynn Bry, and Anat Yarden (2009). 
   Asking scientists: A decade of questions analyzed by age, gender, and country. Science Education. 
3. Ricky J. Sethi, and Amit K. Roy-Chowdhury (2010).
   The Human Action Image. Intl. Conf. on Pattern Recognition (ICPR). 
4. Ricky J. Sethi, and Amit K. Roy-Chowdhury (2010).
   A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video. Intl. Conf. on Pattern Recognition (ICPR). 
5. Nandita M. Nayak *, Ricky J. Sethi *, Bi Song, and Amit K. Roy-Chowdhury (2011).
   Motion Pattern Analysis for Event and Behavior Recognition. In T. B. Moeslund, L. Sigal, V. Kruger, and A. Hilton (Eds.), Visual Analysis of Humans (pp. 289-309). Springer-Verlag.  
   (* Both first authors listed in alphabetical order)
6. Bi Song, Ricky J. Sethi, and Amit K. Roy-Chowdhury (2011).
   Robust Wide Area Tracking in Single and Multiple Views. In T. B. Moeslund, L. Sigal, V. Kruger, and A. Hilton (Eds.), Visual Analysis of Humans (pp. 1-18). Springer-Verlag. 
7. Ricky J. Sethi and Yolanda Gil (2011).
   A Social Collaboration Argumentation System for Generating Multi-Faceted Answers in Question and Answer Communities. In Proceedings of the AAAI Workshop on Computational Models of Natural Argument (CMNA). 
8. Matheus Hauder, Yolanda Gil, Ricky J. Sethi, and Yan Liu, and Hyunjoon Jo (2011).
   Making Data Analysis Expertise Broadly Accessible through Workflows. In Proceedings of the Sixth Workshop on Workflows in Support of Large-Scale Science (WORKS), held in conjunction with SC 2011.