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Sumit Kumar Jha
Graduate
Student
Computer
Science Department
School
of Computer Science
Carnegie Mellon University
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Research
- Research Interests: Model Validation, Machine Learning, Stochastic
Systems, Computational Finance, Systems Biology.
- Brief Bio
- Publications
- C. J. Langmead and S.
K. Jha, “Symbolic Approaches
to Finding Control Strategies in Boolean Networks,” Journal
of Bioinformatics and Computational Biology, vol. 7, no. 2, pp. 323
– 338, April 2009.
- S. K. Jha, E. M. Clarke, C. J. Langmead, A. Platzer, P. Zuliani, and A. Legay, “A Bayesian Approach to Model Checking Biological Systems,” in International Conference on Computational Methods in Systems Biology,
August 2009, pp.
218–234.
- E. M. Clarke, J. R. Faeder, C. J. Langmead, L. A. Harris, S. K. Jha, and A. Legay, “Statistical model checking in Biolab: Applications to the automated
analysis of t-cell receptor
signaling pathway,” in 6th International Conference on Computational
Methods in Systems Biology, October 2008, pp. 231–250.
- C. J. Langmead and S.
K. Jha, “Predicting protein
folding kinetics via temporal logic model checking,” in 7th
International Workshop on Algorithms in Bioinformatics, Lecture Notes
in Computer Science, R. Giancarlo and S. Hannenhalli, Eds., vol. 4645.
Springer, September 2007, pp. 252–264.
- S. K. Jha, “d-IRA: A distributed reachability
algorithm for analysis of linear hybrid automata,” in International
Conference on Hybrid Systems Computation and Control, April 2008, pp.
618–621.
- S. K. Jha, B. H. Krogh, J. E. Weimer, and E. M. Clarke, “Reachability for
linear hybrid automata using iterative relaxation abstraction,”
in International
Conference on Hybrid Systems Computation and Control, April 2007, pp. 287–300.
- G. Frehse, S. K. Jha, and B. H. Krogh, “A counterexample-guided approach to parameter synthesis for linear hybrid automata,” in International Conference on Hybrid Systems
Computation and Control,
April 2008, pp.
187–200.
- Xuandong Li, Sumit
Kumar Jha, Lei Bu, “A tool
for Bounded Model Checking of Linear Hybrid Automata.” In Proceedings of BMC 2006
(Electronic Notes in Theoretical Computer Science)
- S. Jha and S. K. Jha,
“Random Relaxation
Abstractions for Bounded
Reachability Analysis of Linear Hybrid Automata,” in IEEE
High Assurance Systems Engineering, 11th International Conference,
Proceedings, December 2008, pp. 147–153.
- C. J. Langmead and S. K. Jha, “Symbolic approaches for finding
control strategies in Boolean
networks,” in 6th Asia-Pacific Bioinformatics Conference,
ser. Advances in Bioinformatics
and Computational Biology, A. Brazma, S. Miyano, and T. Akutsu, Eds.,
vol. 6. , Imperial College Press, January 2008, pp. 307–320.
- S. K. Jha and S. Jha,
“Randomization Based
Probabilistic Approach to Detect Trojan Circuits,” in IEEE
High Assurance Systems Engineering, 11th International Conference,
Proceedings, December 2008, pp. 117–124.
- K. Mehra, S. K. Rajamani, A. P. Sistla, and S. K. Jha, “Verification of object
relational maps,” in Fifth IEEE
International Conference on
Software Engineering in
Formal Methods. IEEE Computer Society, September 2007, pp.
283–292.
- A. Fehnker, E. M. Clarke, S. K. Jha, and B. H. Krogh, “Refining abstractions
of hybrid systems using counterexample fragments,” in International Conference on Hybrid Systems
Computation and Control,
ser. Lecture Notes in Computer
Science, M. Morari and L. Thiele, Eds., vol. 3414. Springer, March 2005, pp.
242–257.
- S. K. Jha and S. Jha,
“Localizing Error in Traces
with Interpolants”. Short Paper in ACM India Software
Engineering Conference 2010.
- E. M. Clarke, A.
Fehnker, S. K. Jha, and H. Veith, “Temporal logic model checking,” in Handbook of
Networked and Embedded Control Systems, D. Hristu-Varsakelis and W. S. Levine, Eds. Birkha¨user, October 2005, pp.
539–558.
- Shengbing Jiang, Sumit
Kumar Jha and Thomas Fuhrman, “Fault
Isolation in Discrete Event Systems using Model Checking” In
the Proceedings of 45th IEEE
Conference on Decision and Control, San
Diego, California.
- Current Research Projects
- ModelDiscover:
Automatic Discovery of Stochastic Models using Machine Learning
- BehavioralLearning:
Learning Dynamic Bayesian Networks.
Teaching
- CS 15-411: Advanced Compilers (TA), Fall 05
- CS 15-390: Entrepreneurship in Computer Science (TA),
Fall 09
Past Projects
- Iterative
Relaxation Abstraction: Verification of Hybrid Systems
- BioLab: Automatic Verification of Biochemical Systems
Misc
Contact Info
Office:
Gates Center 6008
jha+website@cs.cmu.edu
412-256-8396