Krishna Dubba

Cambridge, UK
Principal Researcher

Education

University of Leeds, UK
Ph.D., Machine Learning,  2008-2012

University of Hyderabad, India
Master of Technology, Artificial Intelligence, 2004-2006

J.N.T. University, India
Bachelor of Technology, Computer Science and Engineering, 2000-2004

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Statistical & Data Sciences

Selected Articles and Publications

Journals

1) Krishna S.R. Dubba, Anthony G. Cohn, David C. Hogg, Mehul Bhatt, Frank Dylla: Learning Relational Event Models from Video, In Journal of Aritificial Intelligence Research, 2015.

2) Krishna S.R. Dubba, Arun K. Pujari: N-gram Analysis for Computer Virus Detection, Journal in Computer Virology, Vol-2, Number-3, Dec-2006, Springer-France.

Conference Proceedings

1) Joachim Hertzberg, Jianwei Zhang, Liwei Zhang, Sebastian Rockel, Bernd Neumann, Jos Lehmann, Krishna S.R. Dubba et.al. The RACE Project. In KI-Künstliche Intelligenz, 2014.

2) Krishna S.R. Dubba; Miguel R. de Oliveira; Gi Hyun Lim; Hamidreza Kasaei; Luis Seabra Lopes; Ana Tome and Anthony G. Cohn: Grounding Language in Perception for Scene Conceptualization in Autonomous Robots. In AAAI Spring Symposium Series, 2014.

3) Rockel, S.; Neumann, B.; Zhang, J.; Dubba, K.; Cohn, A.; Konecny, S.; Mansouri, M.; Pecora, F.; Saffiotti, A.; Gunther, M.; Stock, S.; Hertzberg, J.; Tome, A.; Pinho, A.; Seabra Lopes, L.; von Riegen, S.; and Hotz, L: An Ontology-based Multi-Level Robot Architecture for Learning from Experiences. In AAAI Spring Symposium Series, 2013.

4) Krishna S.R. Dubba, Mehul Bhatt, Frank Dylla, Anthony G. Cohn, David C. Hogg: Interleaved Inductive-Abductive Reasoning for Learning Event-Based Activity Models, Proc. of ILP, 2011. Berkshire, UK.

5) Krishna S.R. Dubba, Anthony G. Cohn, David C. Hogg: Event Model Learning from Complex Videos using ILP, European Conference on Artificial Intelligence - 2010, Portugal.

6) Krishna S.R. Dubba, Subrat K. Dash, Arun K. Pujari: New Malicious Code Detection Using Variable Length n-grams, LNCS-4332/2006, Springer-Berlin / Heidelberg.

Books and Chapters

1) Subrat K. Dash, Krishna S.R. Dubba, Arun K. Pujari: New Malicious Code Detection Using Variable Length n-grams, Algorithms, Architectures and Information Systems Security, Statistical Science and Interdisciplinary Research - VOL3, World Scientific, 2008.