SPS Events

Young Professionals Event: Engineering Career Speed Dating

Wednesday, 28 November 2018 - 12:30-14:30
Location: Mark Twain & Terrace

At this event students and young professionals will move among tables every 15 minutes. At each table there will be an engineer who will give a brief overview of about 5 minutes on their career path, their current position, educational background and skills necessary for this field. The remaining minutes will be spent fielding questions from students and young professionals. A bell will signal students and young professionals to move to another table and the process will begin again for a total of 6 presentations with each group having approximately 5 - 8 students.

The goal is to give an opportunity for students and young professionals to ask questions that will help them better understand the variety of opportunities available in signal processing related fields.

Jeremy Webb

Jeremy Webb is currently a Senior Design Engineer in the Mac Hardware group at Apple. He also owns his own consulting firm; J. Webb Consulting. He has previously worked at Keysight Technologies in the Lightwave, Spectrum Analysis, and Digital Photonic Test divisions on bit error ratio testers (BERTs) and Spectrum Analyzers performing high-speed digital PC board and FPGA design. He received both his Bachelor's and Masters degrees from UC Davis in 2000 and 2011, respectively.

Reza Firoozabadi

Reza is a Senior Research Scientist at Advanced Algorithm Research Center (AARC) in Philips Healthcare, performing research and algorithm development for physiological data analysis. He has worked on a broad range of medical applications by Philips products, such as cardiac analysis using ECG and PPG signals from monitoring and diagnostic bedside and wearable devices, enhanced resuscitation, sleep disorder treatment, and critical care applications.

Reza received his PhD in Electrical Engineering from Northeastern University, where he performed his research on solutions to inverse problem. He holds a bachelor’s degree from Sharif University of Technology and a master's degree from Amirkabir University, both in Electrical Engineering. Reza has a Project Management certificate and a 6-Sigma Lean Green-Belt certificate from University of California, Irvine (UCI).

Reza has a proven track record of accomplishments in research, publication, and invention with 14 journal papers, 33 abstracts and conference papers, and 8 patents. Prior to joining Philips in 2011, Reza was a Senior Engineer at Airvana Inc., designing signal processing algorithms and software implementation for EV-DO mobile systems. Prior to that at Dexela Limited, Reza developed a novel Tomosynthesis algorithm using limited-view X-ray imaging. He also has a background in 3-D modeling of wave propagation and design of active and passive microwave circuits. He has hand-on experience in design of analog and digital electronic circuits, and software and hardware of embedded systems. Reza is an IEEE Senior Member. He has received several recognition awards for being an active volunteer officer at the IEEE California Buenaventura section and its EMBS chapter. During the last four years, he has invited 25 academic/professional experts to the EMBS monthly speaker events, has elevated 74 IEEE members to senior level by organizing the annual Senior Elevation clinics, and has organized 4 expert panels by inviting 19 scientists to the section year-end events. Reza has also represented IEEE as a volunteer member at the National Engineering Week Committee and at the Ventura County Office of Education for their engineering and healthcare employment events and the science fair.

Pin-Yu Chen

Pin-Yu Chen received the B.S. degree in electrical engineering and computer science (undergraduate honors program) from National Chiao Tung University, Taiwan, in 2009, the M.S. degree in communication engineering from National Taiwan University, Taiwan, in 2011, and the Ph.D. degree in electrical engineering and computer science and the M.A. degree in Statistics from the University of Michigan, Ann Arbor, USA, in 2016. He is currently a research staff member in the AI Foundations Learning Group, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA.

Dr. Chen’s recent research is on adversarial machine learning and robustness analysis of neural networks. His research interest includes graph and network data analytics and their applications to data mining, machine learning, signal processing, and cyber security. He is a member of the Tau Beta Pi Honor Society and the Phi Kappa Phi Honor Society, and was the recipient of the Chia-Lun Lo Fellowship from the University of Michigan Ann Arbor. He received the NIPS 2017 Best Reviewer Award, and was also the recipient of the IEEE GLOBECOM 2010 GOLD Best Paper Award and several travel grants, including IEEE ICASSP 2014 (NSF), IEEE ICASSP 2015 (SPS), IEEE Security and Privacy Symposium, NSF Graph Signal Processing Workshop 2016, and ACM KDD 2016.

Kirthi K. Devleker

Kirthi K. Devleker is a Sr. Product Manager at MathWorks focusing on Machine Learning and Deep Learning applications for sensor data. Kirthi specializes in helping the scientific community see the benefits of latest advanced signal processing techniques / algorithms to obtain insights from sensor data directly influencing and evolving the signal processing product roadmaps to cover the entire workflow. The capabilities in signal processing products serve the needs of multiple industry verticals such as Medical Devices, Aero-Defense, Automotive and other industries. Kirthi has been with MathWorks for 8 years; and has a master’s in electrical engineering from San Jose State University, CA USA. Prior to joining MathWorks, Kirthi worked as a software evangelist developing sensor characterization tools in MATLAB.

Ethics for Authors and Volunteers Workshop [Event canceled]

Thursday, 29 November 2018 - 12:30-14:00
Location: Mark Twain & Terrace

The Author Ethics workshop will provide a comprehensive review of author ethics and best practices that covers the proper preparation of a manuscript, application for funding and grants, avoiding bibliometric and citation manipulation, submission and the peer review process, and offers suggestions towards the best ethical practices to ensure successful publication.