Live as if you were to die tomorrow. Learn as if you were to live forever.
-Mahatma Gandhi
Indian Institute of Technology - Delhi, India.
I pursued an Internship program during December 24th, 2013-January 20th, 2014, at IIT, Delhi, under the guidance of Prof. Bijaya Ketan Panigrahi, Associate Professor, Electrical Engineering Department, IIT Delhi, on application of evolutionary computation and perceptron networks in biometric systems. The classification offered by binary perceptron system peaked my interest and I have studied it in length to incorporate this technique utilizing both supervised and unsupervised learning and applied it in a Finger-Ear-Palm print recognition system (submitted in SSCI 2014). The rest of my internship was dedicated to the formulation of a neural network based power demand forecasting algorithm.
National University of Singapore, Singapore.
I recently pursued another internship (from 19th May to 7th July, 2014) in the ECE department of National University of Singapore, under the supervision of Prof. Dipti Srinivasan. I was involved in modification of several multi-objective optimization algorithms for application in day-ahead thermal scheduling problem. Also, to increase the computational efficiency of the algorithms, I was able to develop a parallel architecture and implement it from my previous knowledge on OpenMP programming which showed prominent speed up with increasing number of threads. In the mean time, I was introduced to the fascinating field of parallel and distributed computation and have studied multi-threading libraries like CUDA and pthread in detail. I was also provided access to unix based NUS High-Performance-Computation (HPC) network to simulate the theorized architecture using GPUs.