Ishan is a Masters student at the Robotics Institute, Carnegie Mellon University. He works with Professor Martial Hebert in the area of Computer Vision. His research is rooted in object detection and scene understanding. Over the past year he has worked on algorithmic and systems aspects for making object detectors practical for applications like first person vision (FPV), cloudlets etc. He is currently working on using data-driven methods to discover discriminative variations in real world objects. The hope is to learn good object detectors without use of heuristics and human intervention. Such systems can be used by robots to learn detectors on the fly when encountering unknown objects on the field. Ishan got his undergraduate degree in Computer Science from IIIT-Hyderabad, India. His research was largely in the areas of systems and high performance computing. As part of the Honors programme, he focused on algorithmic improvements to vision and data-compression algorithms. In his internship at Yale University, he worked on deterministic distributed operating systems. Additionally, as an intern in INRIA Paris, he worked on 3D reconstruction from images using shading cues. Academics aside, he was the lead singer for the college rock band, and one of the founding members of the college newspaper. He was given the “IIIT-Hyderabad All Round Achievement Award” for his academic, cultural and sports contributions. He also received the National Talent Search Scholarship from NCERT, Govt. of India for his studies from high school to undergraduate. He is an Open Source enthusiast and in his free time he enjoys singing, cooking and learning about different cultures.