Prof. Randy Moulic came to UAA in the fall of 2012 after a nearly forty year career at IBM.Although he has primarily worked in industry, he isn't new to academia, having taught as an adjunct professor at NYU-Polytechnic and Columbia for the past 25 years
At IBM, Prof. Moulic focused on research, concentrating on supercomputers and parallel and personal computing.His most noted efforts include work on the Deep Blue chess computer, which beat the world chess champion in 1997, and the recently decommissioned Roadrunner supercomputer, which in 2008 was the world's fastest supercomputer.In addition, IBM has been the top US patent recipient for the past twenty years in a row, receiving thousands each year. Prof. Moulic worked on a several of these, many of which are only just now finding their niche in industry.
Recently, however, IBM has begun concentrating less on building and selling hardware and more on services.As IBM changed its focus, Prof. Moulic changed his, too, retiring from industry and transitioning to teaching full time.Despite this change of direction, he isn't done with research.
Although he is not working on any projects at the moment, the research he is planning to pursue is of a more personal interest to him.Prof. Moulic wears hearing aids, which are an imperfect technology with a vast amount of room for improvement.With hearing aids, it is difficult to note the direction of sound, and when multiple people are speaking at the same time, it is impossible to concentrate on one voice and tune out the others.Hearing aids cannot triangulate sounds like the unaided human ear can.
Hearing aids are computers, but they merely process information. They don't talk to each other, and could therefore benefit from parallel computing.Prof. Moulic wants to utilize cellphones to help solve this issue by using Bluetooth to connect with hearing aids and adopt parallel processing to triangulate sounds and get crisp, adaptive hearing.
Prof. Moulic's interest align nicely with Prof. Sam Siewert's, making UAA a serendipitous choice.Prof. Siewert is interested in using parallel computing to improve visibility aspects of cyber-sensing, and both professors are working towards using sophisticated computing to augment human senses.