Grad Student Colloquium KEC 1003 Monday, January 26, 2015 - 4:00pm to 4:50pm
Speaker Information Li Hao, Anh Pham and Sherif Abdelwahab ECE PhD students School of EECS Oregon State University Abstracts --------- Silicon Photonics Link for 100G Interconnect and Beyond -- Li Hao Over the past decade, the silicon photonics community has made fantastic progress in implementing high performance optical and electro-optical devices in silicon. Today silicon photonic integrated circuits have become one of the most promising technique to support the rapid scaling of internet bandwidth and high throughput of datacenters. This presentation will start from the motivation and development of silicon photonics based optical interconnects. Several key design challenges of practical silicon photonics based optical links will then be discussed and will briefly introduce several energy efficient silicon photonics transceiver systems. Efficient instance annotation in multi-instance learning -- Anh Pham The cost associated with manually labeling every individual instance in large datasets is prohibitive. Significant labeling efforts can be saved by assigning a collective label to a group of instances (a bag). This setup prompts the need for algorithms that allow labeling individual instances (instance annotation) based on bag-level labels. Probabilistic models in which instance-level labels are latent variables can be used for instance annotation. Brute-force computation of instance-level label probabilities is exponential in the number of instances per bag due to marginalization over all possible combinations. Existing solutions for addressing this issue include approximate methods such as sampling or variational inference. We propose a discriminative probability model and an efficient and effective expectation maximization procedure for inference to address the instance annotation problem. Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler -- Sherif Abdelwahab The recent emergence and success of cloud-based services has empowered remote sensing and made it very possible. Cloud-assisted remote sensing (CARS) enables distributed sensory data collection, global resource and data sharing, remote and real-time data access, elastic resource provisioning and scaling, and pay-as-you-go pricing models. CARS has great potentials for enabling the so-called Internet of Everything (IoE), thereby promoting smart cloud services. In this talk, we overview CARS. First, we describe its benefits and capabilities through real-world applications. Second, we present a multi-layer architecture of CARS by describing each layerÂs functionalities and responsibilities, as well as its interactions and interfaces with its upper and lower layers. Third, we discuss the sensing services models that CARS offers. Fourth, we discuss some popular commercial cloud platforms that have already been developed and deployed in recent years. Finally, we present and discus! s CARS major design requirements and challenges. Speaker Bios ------------ Hao Li received a B.S. in microelectronics from Tsinghua University, Beijing, in 2009, and an M.S. in computer architecture from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2012. He is currently a Ph.D. student in electrical engineering at Oregon State University. His current research interests include energy efficient high-speed circuits for electrical and optical I/O. Anh Pham received his B.Sc. in CS, with distinction, from the honors program of Hanoi University of Science and Technology and hisM.Sc. in CS from Kyung Hee University. Currently, he is a Ph.D. candidate at Oregon State University, advised by Raviv Raich, as a member of the bioacoustics group. His current research is using machine learning techniques to recognize bird species from recordings of bird songs. Sherif Abdelwahab received B.S. and M.S. degrees in electronics and communications engineering from Cairo University, Giza, Egypt, in 2004 and 2010, respectively, and is currently working toward his Ph.D. degree at Oregon State University. Before coming to OSU, Sherif worked in the mobile networks industry with Alcatel-Lucent from 2004 to 2007 and with Etisalat from 2008 to 2013.
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