IEEE Computer Society
Santa Clara Valley
IEEE

  • Event calendar

    • IEEE SCV CS Technical Talk : Topic/Speaker TBA
      Starts: 6:30 PM
      Ends: June 11, 2013 - 8:30 PM
      Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA
    • IEEE SCV CS Technical Talk : Topic/Speaker TBA
      Starts: 6:30 PM
      Ends: July 9, 2013 - 8:30 PM
      Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA
    • IEEE SCV CS Technical Talk : Topic/Speaker TBA
      Starts: 6:30 PM
      Ends: August 13, 2013 - 8:30 PM
      Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA
    • IEEE SCV CS Technical Talk : Topic/Speaker TBA
      Starts: 6:30 PM
      Ends: September 10, 2013 - 8:30 PM
      Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA

  • About IEEE CS SCV

    The IEEE Computer Society of Silicon Valley is the largest Chapter in the area. We operate as part of the global IEEE Computer Society, which with nearly 85,000 members, is the world’s leading organization of computing professionals. IEEE CS was founded in 1946, and is the largest of the IEEE’s 38 societies. The Computer Society is dedicated to advancing the theory and application of computing and information technology.
    Our Santa Clara Valley Chapter emphasizes all aspects of computing to our local members, and we welcome visitors. We organize monthly Technical Meetings, which give opportunity for professional networking, and where invited speakers from the industry share their vision on the computing domain.
    During early summer, the Chapter also organizes its own low-cost, high value, New Frontiers In Technology (NFIC) conference.

Benchmarking with Futuremark

May 19th, 2013

Benchmarking with Futuremark

Date: Tuesday, June 11, 2013

Speaker: Oliver Baltuch, President, Futuremark

Time: 6:30 PM (PT) Networking/Refreshments, 7:00 PM Presentation

Registration: Please register by ordering a ticket below

Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA (map)

Abstract:

Futuremark develops industry standard benchmarking software (such as 3DMark) that measures hardware performance of PCs, tablets, and smartphones.  Running benchmarks during the product development process can highlight setup and stability problems.  Comparing scores from similar systems can help you choose between upgrades and new components.

This talk will center on how Futuremark and the companies that are working in its programs are involved in benchmarking the new generation of processors.  These range from GPUs to CPUs to APUs and power the latest electronic devices.  Futuremark’s benchmarks are the most authoritative performance tests and are widely used by the world’s leading software publications and enthusiasts review sites when testing the latest devices.

Speaker Bio:
oliver_baltuchOliver Baltuch is a 25 year Silicon Valley veteran of several companies including National Semiconductor, Vadem, Standard Microsystems, NVDIA, NetCell, Chartered Semiconductor, and Furturemark.  With a B.Sc. in Theoretical Physics from Concordia University in Montreal and a Masters of Engineering in Physics Engineering from Cornell University, Oliver started out as a Yield Improvement Engineer in a 3 micron bipolar wafer fab and then proceeded into marketing after working in the Fairchild Research Center in the late 1980s.  He has then worked in various marketing roles from Staff Strategic Marketing Engineer at National up to his current position as VP Sales and Marketing Worldwide for Futuremark Oy (Finnish Company) and President of its North American subsidiary Futuremark Inc.  He is also a member of the Board of Directors of the Dian Fossey Gorilla Fund International working to preserve the last remaining Mountain Gorillas and their habitat.

Eventbrite - New ARM Architectures for Servers: 64 bit, Virtualization, and Energy Efficiency

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Data Mining in Practice: Key Techniques and Real World Applications

May 16th, 2013

Data Mining in Practice: Key Techniques and Real World Applications

Date: Tuesday, May 14, 2013

Speaker: Junling Hu, Data Mining Expert, Founder of aboutdm.com

Time: 6:30 PM (PT) Networking/Refreshments, 7:00 PM Presentation

Registration: Please register by ordering a ticket below

Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA (map)

Abstract:

This talk will provide an overview of major data mining areas and their practical application. It will cover the history of the development of data mining and will detail key techniques such as: Recommender Systems, Machine Learning, Graph Mining and Text Mining. Each technique will be illustrated with a practical applications including: mobile app commendation, credit scoring, social network mining, product search and a few more if time permits.

Speaker Bio:

junling_bio

Junling Hu is an expert in data mining and author of an upcoming book: Data Mining in Practice (O’Reilly Media). She is the main contributor for data mining blog site, aboutdm.com. She was a Senior Manager of Data Science at PayPal, where she led the research and development effort in the data science team. Before joining PayPal, Junling led a data mining team at eBay Inc for 2 years. She led the effort on large-scale data mining on structured and unstructured data. Before joining eBay, Junling was senior researcher and manager of data mining group at Robert Bosch research lab. At Bosch, she led the data mining effort on large-scale healthcare data. Prior to Bosch, Junling was an Assistant Professor of Computer Information System at University of Rochester from 2000
to 2003.

Junling has published many academic papers and has more than 1,000 scholarly citations on her work. Junling is a recipient of Sloan Fellowship for Distinguished Women in Engineering. Junling is also a recipient of CAREER award from National Science Foundation. She served on NSF review panels for funding decision on computer research projects in the U.S..

Junling received her Ph.D. in computer science and Ph.D. pre-candidacy in economics from University of Michigan in Ann Arbor, plus M.S. in economics from Florida State University.
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Eventbrite - New ARM Architectures for Servers: 64 bit, Virtualization, and Energy Efficiency

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