Established in 1999, as a center of excellence in Information Technology and allied areas. Institute was conferred the Deemed University status by Govt. of India in the year 2000.
With an enduring dedication to the pursuit of excellence, IIIT-A offers unparalleled students experiences across a broad spectrum of academic environment.
IIIT-A's administrative office deals with the diverse range of issues including human resource, financial activities, research administration and student affairs.
The range of research activities at IIIT-A is broad and deep. IIIT-A scholars conduct in research in variety of fields and seek to expand human knowledge through innovation and insight.
Our students have been selected on an all India basis and are the top 0.5% of the nation's talent pool. The students are mosaic of innovation, brilliance and sincerity with a zeal for making their mark in the world.
Living and learning are intimately interwined at IIIT-A. Extra-curricular programmes, organizations, performances, forums and athletics beckon students, faculty and staff as well as neighbours from the communities around us.
B.E.,M.Tech., Ph.D., FIE, FIETE
Director-Bangalore Educational Society for Technology Advancement and Research (BESTAR) and Principal – Bangalore Technological Institute, Kodathi, Off Sarjapur Road, Bangalore
Director – Planning Monitoring and Evaluation Board, (PMEB), University of Mysore
Professor, Computer Science and Engineering, University of Mysore, Mysore
Prof. P. Nagabhushan is Fellow of Institution of Engineers – FIE, and Institution of Electronic and Telecommunication Engineers FIETE.
He has been Awarded National Merit Scholarship throughout. Recognition and award by Govt. of India.
Areas of Academic Interest :
Pattern Recognition - Image Processing - Remote Sensing - Feature reduction Cluster Analysis Multistage classification - Exploiting the inherent parallel computational possibilities to devise parallel algorithms for the above problems, Dimensionality reduction integrated classification, Character recognition by dimensionality reduction, Automation of Pitman's short hand,Computer vision, Object recognition, Image analysis, Image compression
Artificial Intelligence, Symbolic data analysis for Pattern Recognition and Image Processing applications, Fuzzy approaches, Neural Network approaches, Cognition and recognition for path planning, Document Image Analysis, Document Language recognition, Distance measures, Postal automation, Knowledge mining, Time series data, Incremental learning, Image Security.
Algorithms: Graph theoretic algorithms,Computational techniques,Operations Research problems,Analysis of interconnected multi port systems,Simulation and Modeling,
Conventional interest in System Software and Computer Hardware.