With the increase in popularity of portable computing devices such as PDAs and handheld computers, non-keyboard based methods of data entry are receiving more attention in the research and commercial sector. The most promising options are pen-based and speech-based inputs. Pen-based input devices generate handwritten documents which have on-line (temporal) information encoded in them. Understanding the structure of on-line documents helps in their transcription and retrieval. In this talk, I will address some of the problems related to document understanding such as document segmentation, script separation and retrieval based on ink-matching.

Part 1 :
Evaluation of IT system is not a new term for corporate world but as far as the evaluation for academic institutes is concerned not much work has been done. We have recently evaluated IT system of IIT Kanpur. In this talk, we first introduce and discuss various methods for IT evaluation. We have used survey method for evaluating IT system of IIT Kanpur. Target population for the survey is the students and the computer lab administrators. Scoring technique is used to quantify the views of the participants. Our results provide a report that can help the institute to provide better IT system to support teaching, learning and research.
Part 2 :
Information available on the web is enormous. Anyone can compose Web pages, documents of widest range of ideas and widest range of quality. A search engine has no way of assessing the quality of a web page. A search engine only worries about relevance. The present work focuses on assessing the quality of information of the web documents. We propose an institution IERC that conducts the Evaluation, Rating & Certification of online documents. We present evaluation, rating and vigilance method for web documents. We show cost effectiveness of IERC.

Mr. Vinod Khosla was a co-founder of Daisy Systems and founding Chief Executive Officer of Sun Microsystems where he pioneered open systems and commercial RISC processors. He founded Sun Microsystems along with his Stanford University fellows Scott McNealy, Andy Bechtolsheim (another arnegie-Mellon University graduate school alumnus), and a UC Berkeley masters degree holder named Bill Joy. Mr. Khosla serves on the boards of Centrata, Indian School of Business, Infinera, Juniper Networks, Kovio, OnFiber Communications, QWEST Communications, StorAD and Zaplet. He holds a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology in New Delhi, a Master's in Biomedical Engineering from Carnegie Mellon University and a MBA from the Stanford Graduate School of Business. Mr Khosla has been a General Partner of Kleiner Perkins Caufield & Byers since 1986. Mr Khosla is also one of the founding fathers of The Indus Entrepreneurs.

Biology today, in the post-genomic era, occupies the fore front in the context of a multitude of recent scientific and technological developments. With biology interfacing with almost all walks of life, a typical bio-related R and D environment today needs to interface with skills in diverse areas of mathematics and statistics, sciences and engineering, especially from the domain of computer science and IT. This has spurred the demand for high quality manpower in the rapidly developing interdisciplinary domain of Bioinformatics which interfaces biological and computational sciences. In addition to large scale data management and data processing issues, this scientific field deals with the computational management of diverse biological information, which may be about genes, their products and their structures, about biochemical processes and interactions in the cells, tissues, organs or whole organisms or even about ecological systems and evolution.

The seminar is intended to address future IT professionals about the IT and computational challenges and opportunities, both in industries and research environments dealing in biotechnology and bioinformatics. It also will highlight aspects of bioinformatics which requires serious inputs from the areas of computational linguistics, language technologies, data engineering, data and web mining, Software engineering and technologies, AI and soft computing techniques and computer vision.