HomePage of Student XYZ at KReSIT

Student

Back to KReSIT Homepage

ASHISH GAJANAN LAHANE
	K.R.School of Information Technology, Indian Institute of Technology Bombay, Powai, Mumbai - 400 076. (India) Phone: +91-9766459174 Email: ASHISH.G.LAHANE@GMAIL.COM ALT Email: ASHISH_G_LAHANE@YAHOO.COM	Courses Research Interests Interests and Activities Experience Resume

Courses

Communication and Presentation Skills

Mobile Computing

IT Foundation Lab

Foundation Course Of IT - Part II

Network Security

Computer Graphics

Embedded Systems

Introduction To Computing With Neural Nets

Machine Learning : Theory And Methods (Audit)

Fundamentals Of Digital Image Processing

Introduction To Computational Biology

Algorithms And Complexity

Research Interests

Network Security.

Neural Networks.

Seminar

Title- RFID Virus

Abstract:As the RFID devices are pervasive, so are viruses & worms. They have troubled the computers in wild since from 4-5 decades, are continuing to do so, & will continue on and on. They don’t at all seem to be taking a breath nor letting others take a one. First, the computers were pervasive devices, they got attacked with viruses. Networking became pervasive, so worms came there to trouble it. Recently mobile devices & cell phones were & are pervasive, which were attacked by few simple viruses & worms, expecting intelligent & complicated ones in the nearest future. Very new are the RFID devices, which are speedily pervading & luckily untouched by viruses & worms yet. But undoubtedly they are the next in the attack pipeline. This report explains a possible virus attack on RFID devices, which was recently shown to be possible successfully, to warn the RFID community towards security issues of RFID devices. This attack is based on SQL injection.

M.Tech Project

Title- FINANCIAL FORECASTING: Comparison Of ARIMA, FFNN And SVR

Abstract:This study compares statistical models such as ARIMA, and AI models such as Feed Forward Neural Networks (FFNN) and Support Vector Regression (SVR), for long term one-day-ahead forecast of financial indices. A number of forecasting experiments are conducted on three major indices in Indian stock market: BSE Sensex, CNX IT and S&P CNX Nifty. The models are studied for various parameters such as ARIMA(p; d; q) for 0 &le p, d, q &le 2, FFNNs with 1 to 2 number of hidden layers and different transfer functions, SVR with polynomial and RBF kernels. Our experiments show that FFNN models perform better in forecasting value of the index, while ARIMA models perform better in predicting the direction of movement of the index.

Interests and Activities

Playing 3D action games.

Movie Collection.

Match-Box Collection.

7 months of lecturership

IIT Bombay | KReSIT | People at KReSIT | Faculty