Engineer Signal Processing

Samir Al-Stouhi

Machine Learning/Signal Processing

I am interested in a position developing machine learning and signal processing algorithms. I’m in the final stages of my Computer Engineering PhD pursuit at Wayne State University with an emphasis on Machine Learning. I have over 12 years of industry experience in embedded algorithm development and digital signal processing.

Qualifications

Machine Learning: Published in top machine learning and artificial intelligence venues with emphasis on transfer learning, imbalanced data classification, mining with rarity and multi-task learning.

Digital Signal Processing: Designed scalable architectures for signal processing and developed fixed-point DSP algorithms with C and assembly languages for high speed signal processing.

Embedded Algorithm Development: Developed several technology demonstrators and completed several software development cycles in a process-oriented environment for a wide range of platforms.

Leadership: Led multiple local and international (India, Germany and Canada) teams for a variety of applications ranging from advanced research to production oriented products.

Education

Doctors of Philosophy Computer Engineering (Wayne State University) (Computer Science: US Rank: :110 State Rank: 3) April 2013

Major: Machine Learning. Minor: Data Mining.

GPA:3.94/4.0

Extension of traditional learning methods for supervised transfer learning, rare and imbalanced data learning, multi-task clustering, self-taught learning and alternative clustering. Methods include Boosting, SVMs, low rank matrix factorization, sparse methods and kernel alignment.

Masters of Science Computer Engineering (University of Michigan-Dearborn) April 2004

Driver’s pose estimation using artificial neural networks.

Bachelor of Science Electrical Engineering (University of Michigan-Dearborn) August 2000

Laser triangulation system for 3-dimensional scanning.

Publications

- Samir Al-Stouhi and Chandan K. Reddy, “Transfer Learning for Rare cases”, Machine Learning. (Manuscript Submitted).

- Samir Al-Stouhi and Abhilash Pandya, “Over-Sampling from an Auxiliary Domain”, In Proceedings of the 19th International Conference on Neural Information Processing, (ICONIP), Doha, Qatar, November 2012. CORE: A

- Samir Al-Stouhi, Chandan K. Reddy and David E. Lanfear, “Label Space Transfer Learning”, In Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Athens, Greece, November 2012. CORE: B

- Samir Al-Stouhi and Chandan K. Reddy, "Adaptive Boosting for Transfer Learning using Dynamic Updates", In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Athens, Greece, September 2011. CORE: A

- Samir Al-Stouhi, “Adaptive Intersection Mapping”, 16th World Congress on Intelligent Transport Systems (ITSwc'2009), Stockholm, Sweden.

Professional Experience

2010-Present Wayne State University Detroit, MI

Graduate Research Assistant

Data Mining and Knowledge Discovery Lab (Website)

- Course work includes Machine Learning, Artificial Intelligence, Data Mining and Computer Vision.

Computer-Assisted Robot-Enhanced Systems Lab (Website)

- Lead development of an Optical Spectroscopy probe for breast cancer diagnosis. (Website)

- Assist in the development of Raman Spectroscopy analysis software for cancer detection. (Website)

2007-2010 Kostal Of America Troy, MI

Lead Engineer For The Terrain Management System (TMS)

V2V and V2I Overview

Lead development of “Vehicle to Vehicle (V2V)” and “Vehicle to Infrastructure (V2I)” demonstration vehicles for the 15th World Congress on Intelligent Transport Systems in New York.

Development of embedded hardware integrating differential GPS with 802.11p (WAVE) wireless transceivers for “Out of Sight” V2V and V2I communication and display.

Lead Research Engineer (Camera-based driver assistance)

- Research forward looking vision algorithms for headlight detection and tracking.

- Research lens configurations and perform competitive studies on different tracking technologies.

2000-2007 Visteon Corporation Van Buren, MI

DSP Platform Architect

- Lead DSP architecture development for dual core platforms that can perform audio/video decoding, noise/echo cancellation and synthetic audio playback.

- Define configurable/scalable signal processing architectures.

- Perform MIPS estimation; analyze code and buffer requirements and research sampling strategies.

- Provide effort, timing and cost estimates. Research suppliers and cost efficient implementations.

- Mentor and manage a team of local and offshore DSP developers.

DSP Lead Engineer

- Support the development of a compressed audio player with the industry’s smallest buffer space.

- Develop firmware for audio decoding (MP3, WMA, AAC) using TI C64XX/C55XX DSP series.

- Develop audio mixing and equalization algorithms for audio equalization and mixing.

- Assist in the development of a DSP equalization tool.

Software Engineer

- Develop demo software demonstrating industry’s first “In Band Off Channel” product enabling High Definition digital audio. (TI-Site) (IBOC-Site)(EE-Times)

- Implement a “Virtual Tuner Radio” to help design and test tuners with EQ controls and a smart DAC search algorithm for signal fine-tuning.

- Develop the hardware and software for a prototype remote AM/FM glass tuner. Improved tuner performance was achieved by decoding the signal at the antenna source.

- Design the hardware and software for a prototype audio gateway as a technology demonstrator.

- Develop the hardware and software for a passive emulator with a differential audio input as a prototype for a vehicle’s interface to a portable audio player.

1999-2000 DaimlerChrysler Corporation Detroit, MI

Electronics Design Engineer (Occupant Sensing and Airbags)

1998-1999 Automotive Systems Laboratory Farmington Hills, MI

Electronics Engineering Intern (Occupant Sensing and Airbags)

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