Marcus Powers

Harvard College

“Ultimately, my fascination with computers comes from what lies under the hood. When I watch a movie, I think about the behind-the- scenes work that went on involving special effects and computer simulation. Playing a video game,

I ponder how the programmer theorized and modeled the behavior exhibited by the computer. Working in my editor/compiler, I can’t help but wonder how one goes about designing the environment that compiles the code. I’m not just satisfied with a great final product–I know from experience that the most challenging (and fun) aspects of coding lie beneath the surface, in the aspects of technology that most of society takes for granted.”

“With all of the space required to store such complex data as music files, how can we become more efficient at data storage and management? Programs like iTunes have become ubiquitous in our society today, but they’ve barely been around a decade. Ten years from now, what will the digital world look like? No-one can predict, and that is another of the astounding aspects of Computer Science. The field itself is still in its infancy compared to most other disciplines, and yet it has already become permanently entrenched in every aspect of modern science and society. As such a new and yet diverse topic of study, The field of Computer Science has been and will continue to grow at an incredibly rapid pace – so rapid, in fact, that in all likelihood the job that I will hold five years from now hasn’t even been thought-up yet.”

 

Neel Shah

Northern University

“Currently, I am part of research team developing state-of-the-art parallel Computer Vision algorithms at Northeastern University. We are working with SURF (Speeded up Robust Features) algorithm [1] in the Northeastern University Computer Architecture (NUCAR) lab under the direction of Professor David Kaeli. e research requires the use of OpenCL and C++ to program heterogeneous platforms such as (AMD and NVIDIA) Graphics Processing Units (GPUs) and CPUs. Our code can be used in a number of emerging problem domains including computer-assisted medical imaging and airport security.”

“The need for efficient Object Detection has grown rapidly, mainly due to the recent growth in the rate of cybercrimes, where terrorists can harm the general public, collective sensitive information aiming to disrupt the normalcy of not only the government, but also generate fear and panic across a nation. The technology behind object recognition can be used in various ways to disarm these criminals and secure sensitive places, and anything else that is crucial for the safety of a country, company or even an individual. The primary concern for my future research would be to eliminate inaccuracy and enable safer methods which cannot be “hacked into” by malicious intruders. To achieve this goal, I plan to build on my past research and focus on the fidelity and robustness of the resulting object detection algorithms.”