S. Bapi Raju's Profile

Faculty Profile
	S. Bapi Raju Professor Ph.D University of Texas, Arlington	Contact Address: DCIS,University of Hyderabad, Central University P.O, Hyderabad - 500 046. INDIA. Phone: 91-040-23134014

Recent Publications Conferences Academic Outreach	Areas of Interest: Theory and applications of Neural Networks, Brain Modelling, Cognitive Neuroscience, Bioinformatics Professional Exposure: Visiting Researcher, Kawato Dynamic Brain Project, JST, JAPAN. Research Fellow, University of Plymouth, Plymouth, UK.

Recent Publications

S. Bapi Raju, V. S. Chandrasekhar Pammi, K. P. Miyapuram, Ahmed. Investigation of Sequence Learning: A Cognitive and Computational Neuroscience Perspective. Current Science, 89(10), 1690-1698, 2005.

S. Bapi Raju, Shesharao Wanjerkhede. Role of Presynaptic Reuptake on Dopamine Modulation of Cortico-striatal Activity in TD Learning. Proceedings of IEEE International Joint Conference on Neural Networks, IJCNN’05, 31 July – 4 Aug, 2005, Volume 4, pp. 2145 – 2149, 2005.

S. Bapi Raju, Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna. Using Sub-sequence Information with kNN for Classification of Sequential Data. In Goutam Chakraborty (Ed.): Distributed Computing and Internet Technology, Second International Conference, ICDCIT 2005, Bhubaneswar, India, December 22-24, 2005, Proceedings. Lecture Notes in Computer Science (LNCS) 3816, Springer, pp. 536-546, 2005.

S. Bapi Raju, Pradeep Kumar, P. Radha Krishna, S. K. De. Web usage mining using rough agglomerative clustering. In: Chin-Sheng Chen, Joaquim Filipe, Isabel Seruca, José Cordeiro (Eds.): ICEIS 2005, Proceedings of the Seventh International Conference on Enterprise Information Systems, Miami, USA, May 25-28, pp. 315-320, 2005.

S. Bapi Raju, Pradeep Kumar, M.Venkateswara Rao, P. Radha Krishna, A.Laha. Intrusion Detection System using Sequence and Set Preserving Metric. In: Paul B. Kantor, Gheorghe Muresan, Fred Roberts, Daniel Dajun Zeng, Fei-Yue Wang, Hsinchun Chen, Ralph C. Merkle (Eds.): Intelligence and Security Informatics, IEEE International Conference on Intelligence and Security Informatics, ISI 2005, Atlanta, GA, USA, May 19-20, 2005, Proceedings. Lecture Notes in Computer Science (LNCS) 3495, Springer, pp. 498-504, 2005.

V. S. Chandrasekhar Pammi, K. P. Miyapuram, Raju S. Bapi, Chakravarthy Bhagavati, T. Brahmaiah, Ch. Chandra Sekhar Rao. Investigation of Time Series Modelling to Explicate the Learning Related Activity Observed in fMRI Data. Accepted in the International Conference on Systemics, Cybernetics And Informatics (ICSCI 2004), India.
Shesharao M. Wanjerkhede, Raju S. Bapi. Towards Characterizing the Role of Dopamine in Temporal Difference Learning Models. Accepted in the International Conference on Systemics, Cybernetics And Informatics (ICSCI 2004), India.
Sameer Sharma, Vinod Kumar, T. Sobha Rani, S. Durga Bhavani, S. Bapi Raju. Application of Neural Networks for Protein Sequence Classification. In the proceedings of International Conference on Intelligent Sensing and Information Processing (ICISIP), Chennai, India, January 4-7, 2004.
V. S. Chandrasekhar Pammi, K. P. Miyapuram, Raju S. Bapi, K. Samejima, K. Doya. Acquisition of Complex Sequential Skills: Behavioral and fMRI Investigation. NBRC International Symposium, Building the Brain, Manesar, India, 2003. (adjudged as best poster)
Anuj Kumar, Pramod Kumar Upadhyay, T. Sobha Rani, S. Durga Bhavani, S. Bapi Raju. Identification of Promoter Region in a DNA Sequence using EM Algorithm and Neural Networks. In Proceedings of the First Indian International Conference on AI (IICAI), Hyderabad, Dec. 18-20, 2003.(In press)
Raju S. Bapi, V. S. Chandrasekhar Pammi, K. P. Miyapuram. Methods and Approaches for Characterizing Learning Related Changes observed in functional MRI Data - A Review. Proceedings of the International Conference on Theoretical Neurobiology, India, pp. 221-229, 2003.
Shesharao M. Wanjerkhede, Raju S. Bapi. Temporal Representation of Stimuli in Reinforcement Learning Models -A Critical Review, International Conference on Theoretical Neurobiology, New Delhi, India, February 2003.
Ahmed, Raju S. Bapi. Neural Network Architecture for Extracting Sequence Grammar, International Conference on Theoretical Neurobiology, New Delhi, India, February 2003.
V. S. Chandrasekhar Pammi, Raju S. Bapi, K. P. Miyapuram, K. Samejima, K. Doya. The activation of Orbitofrontal Cortex reflects Trial and Error processes in a Visuomotor Sequence Learning task. NCBS International Neurobiology Symposium, Networks and Behavior, Bangalore, India, 2003.
K. P. Miyapuram, Raju S. Bapi, F. X. Graydon, K. Doya. Time course of activation of visual and motor representations during visuomotor skill learning. NCBS International Neurobiology Symposium, Networks and Behavior, Bangalore, India, 2003.
Shesharao M. Wanjerkhede, Raju S. Bapi. Towards a biologically realistic model of temporal representation of stimuli in reinforcement learning models. NCBS International Neurobiology Symposium, Networks and Behavior, Bangalore, India, 2003.
Ahmed, S. Bapi Raju, Pammi V. S. Chandrasekhar, M. Krishna Prasad. Application of Multilayer Perceptron Network for Tagging Parts-of-Speech. Proceedings of the Language Engineering Conference (LEC'02), IEEE Computer Society, pp. 57-63, 2002.
Raju S. Bapi, K. P. Miyapuram, V. S. Chandrasekhar Pammi. A Multi-disciplinary Approach to the Investigation of Aspects of Serial Order in Cognition. Proceedings of the National Seminar on Cognitive Science, Hyderabad, 2002. (In press)
V. S. Chandrasekhar Pammi, M. Krishna Prasad, S. Bapi Raju. Statistical Parametric Mapping For Analysis of Functional Magnetic Resonance Images - A Case Study. Proceedings of the National Conference on Recent Developments and Challenges in Physics, Hyderabad, India, 2002. (In press)
K. P. Miyapuram, R. S. Bapi, V. S. C. Pammi, K. Samejima, K. Doya. fMRI Investigation of the Learning of Visuo-motor Sequences of increasing complexity. Annual Meeting of Society for Neuroscience, USA, 2001.
Raju S. Bapi and Kenji Doya. Multiple forward model architecture for sequence processing. In Sequence Learning: Paradigms, Algorithms, and Applications, R. Sun and L. Giles (Editors) (309-320), Springer Verlag: Germany 2001.
Guido Bugmann and Raju S. Bapi. Modelling Relative Recency Discrimination Tasks using a Stochastic Working Memory Model. BioSystems, 58 (1-3), 195-202, Oct-Dec 2000.
R.S.Bapi, K Doya, AM Harner (2000). "Evidence for Effector Independent and Dependent Representations and their differential time course of acquisition during Motor Sequence Learning". Experimental Brain Research. 132, 149-162, 2000.

Conferences

Invited Lecture: “An Introduction to SPM”, XI National Conference on Alzheimer’s & Related Disorders Society of India (Nov 12-14), Trivandrum, November 14, 2005.
Invited Lecture: “Imaging Sequence Learning”, XI National Conference on Alzheimer’s & Related Disorders Society of India (Nov 12-14), Trivandrum, November 14, 2005.

Academic Outreach

Invited Lecture: “Modelling in Systems Neuroscience: A Sequence Learning Perspective”, Short Course on Computational Neuroscience, IIT-Bombay, Mumbai, Oct 16, 2005.
Invited Lecture: “Neural Networks and Other Soft Computing Techniques for Data Regression”, National Remote Sensing Agency (NRSA), Hyderabad, September 24, 2005.
Invited Lecture: “Computational Neuroscience”, Pragyaa 2005, Nanded, Maharashtra, April 2, 2005.