Research Talk Schedule

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The CWDS seminar series is centered around intellectual exchange and interaction, and the audience is encouraged to ask questions during presentations. The goal is a seminar that looks less like a lecture and more like a spirited discussion of issues raised in a relatively brief presentation of a paper or a research project.

All seminars will be held at 12:30 on Wednesdays in TLB 307B on the third floor of the Tioga Library Building. We will aim to conclude by 1:30.

If you are interested in learning more about our seminar series please contact Mohamed Ali.

Title Date of Presentation Speaker Affiliation Research Focus
Toward a Post-Quantum PKI 10/12/2016 Paulo S. L. M. Barreto Intitutue of Technology, UW Tacoma

Abstract - Standardization organizations like NIST have recently announced their interest in developing cryptographic standards that resist attacks mounted with the help of quantum computers. Among those so-called post-quantum cryptosystems, arguably the foremost contenders are schemes whose security stems from the hardness of certain computational problems on lattices, to the extent that large companies like Google have already started experimenting with lattice-based key agreement protocols in some of their products.

Autonomic Management of Cost, Performance, and Resource Uncertainty for Deployment of Applications to Infrastructure-as-a-Service (IaaS) Clouds 10/19/2016 Wes J. Lloyd Intitutue of Technology, UW Tacoma

Abstract - Infrastructure-as-a-Service (IaaS) clouds abstract physical hardware to provide computing resources on demand as a software service. This abstraction leads to the simplistic view that computing resources are homogeneous, and infinite scaling potential exists to easily resolve all performance challenges. Adoption of cloud computing presents challenges forcing practitioners to balance cost and performance tradeoffs to successfully host applications in the cloud.

Data Center: Backbone for Internet of Things 10/26/2016 Dr. Mani Prakash Intel Corporation

Abstract - The Internet of Things (IoT) landscape is billions of connected devices that generate megabytes to terabytes of data from simple smartphones to complex infrastructures.  In order to mine this data, efficiently, for useful purposes, there needs to be efficient hardware and software.  Whether one is looking for  patterns or useful conclusions from the data or one is looking for specific information from mounds of data, the hardware and software infrastructure needs to be able to deliver in a timely fashion.

Cost effective design-for-testability techniques and their implications on security 11/09/2016 Samah Mohamed Ahmed Saeed Institute of Technology, UW Tacoma

Abstract -The growing complexity of Integrated Circuits (IC) increases the test cost dramatically, while advancements in fabrication decrease the manufacturing cost, rendering the test cost the dominant factor in the overall IC cost. Maximizing the test quality necessitates large test time, and thus high test cost. The need for lowering the test cost and improving the test quality has forced the semiconductor industry to develop and adopt design-for-testability (DfT) methods. Scan-based DfT techniques are used to enhance the testability of the IC.

Generating Conflict-Free Treatments for Patients with Comorbidity using ASP 11/16/2016 Elie Merhej University of Ghent, Belgium

Abstract - Conflicts in recommended medical interventions regularly arise when multiple treatments are simultaneously needed for patients with comorbid diseases. An approach that can automatically repair such inconsistencies and generate conflict-free combined treatments is thus a valuable aid for clinicians. We propose an answer set programming based method that detects and repairs conflicts between treatments. The answer sets of the program directly correspond to proposed treatments, accounting for multiple possible solutions if they exist.

IBM Watson AI and the AI XPrize 11/23/2016 Stephen Rondeau Institute of Technology, UW Tacoma

Abstract - The amount of data will quadruple by 2020, and 80% of it is unstructured data (text, images, video). How can organizations effectively search through existing data or use that data to discover new, actionable information? IBM offers Watson Analytics, which is based in part on the AI technologies used to win the Jeopardy! game show. Those AI technologies will be explored and some open-source alternatives will be presented in brief. Can they be used by a team of people to solve a grand challenge and win a $3 million AI Xprize?