AUGUST 2016 NEWSLETTER ]
MESSAGE FROM DEPARTMENT CHAIR To our ECE students, research and hands-on development experiences are a great way to build on, as well as branch out from, classroom learning. Thanks to the enthusiastic support of faculty, alumni and industry partners, the ECE department was able to provide a variety of opportunities for hands-on research and development experience to our undergraduate students. This past May, 19 teams comprised of 41 sophomore and junior students participated in the Junior design competition sponsored by our corporate partners, Everi and Amazon. S. Mendoza and R. Dizon’s impressive project on Violin Motion Sensing won first prize! Working in conjunction with several local companies, this past spring’s ECE 2016 Senior Design projects were some of the most advanced yet. Many of the projects were so unique that they will be implemented by the participating companies into their future model products. Engaging undergraduates in the cutting edge faculty-guided research pays dividends, both personal and professional. Mr. Justin Le won the first annual Outstanding Undergraduate Scholar Award for his outstanding accomplishments in research. And Justin was not playing solo. In spring 2016 alone, more than 20 students took part in various ongoing research projects under the supervision of ECE faculty members. These projects ranged from optical sensing, intelligent transportation systems, smart grids, big data, image processing, microelectronics design and testing, and biomedical instrument development, just name a few. In addition to being more self-confident and independent, the undergraduate researchers gained valuable experiences and specific skills such as critical-thinking, communications, and making presentations. Working with undergraduates on research is also a rewarding experience to faculty to bridge the gap between teaching and scientific exploration. Quite a number of our 2016 class students, including the award winning scholar, Justin Le, have chosen to attend our master and even Ph.D. programs this fall to advance their research careers. With quality students drawn from our own undergraduate programs and many quality domestic and international undergraduate programs, our graduate research is flourishing. In this issue, I feel so fortunate to highlight the research accomplishments of five graduate students who very recently completed their Ph.D. studies. As mentioned previously, both EE and CpE programs are up for accreditation review by ABET. The EE and CpE self-study reports were submitted before the July 1, 2016 deadline, and the initial feedbacks provided were fairly positive. In the meantime, we are working around the clock to prepare and mobilize ourselves, the faculty, the students, and other stakeholders, for the upcoming on-site visit by the ABET reviewers that has been scheduled to early October. (Yingtao Jiang, Professor and Chair)
GRADUTE STUDENT RESEARCH SPOTLIGHT Five Ph.D. students successfully completed their studies since the last issue of the ECE newsletter. Their research is highlighted below. Dr. Mohammad Shokrolah Shirazi completed his Ph.D. under supervsion of Dr. Brendan Morris in 2016. His Ph.D. dissertation focuses specifically on vision-based analysis of behavior and safety at intersections through providing reliable trajectories of vehicles and pedestrians followed by machine learning and statistical techniques. Las Vegas transportation cameras are accessed through RTIS laboratory and this provides a great source for automated processing using computer vision techniques. The foundational step of Shirazi’s dissertation is vehicle and pedestrian tracking in surveillance video and he has addressed different transportation applications regarding intersection scenarios. The primary step is to provide robust detection and tracking of vehicles and pedestrians since it is a challenging problem for intersection scenarios. When reliable tracking is provided, different applications can be addressed through investigation of vehicle and pedestrian trajectories. The visionbased pedestrian behavior analysis along with the proposed tracking framework addresses robust tracking of pedestrians through fusion of their motion and appearance cues. Other important applications that have been addressed are time to collision (TTC), Distance to Intersection (DTI), Time to Intersection (TTI), queue