Erick Delage

edelage@{at}stanford.{dot}edu

344 Olmsted Road. Apt 106

Stanford, CA 94305

(650) 497-9860

 


Objective:

Undertake an extensive research project toward obtaining a PhD degree in the field of Intelligent Systems and Machine Learning.  I am seeking a rich research environment in which to further develop my investigation skills and participate to the development in the Artificial Intelligence community.

To influence and shape the development of new systems models and signal manipulation techniques by undertaking an extensive research project.


 


Education:

Stanford University – California, USA   (2003-Present)

Masters of Science in Electrical Engineering, Dynamic Systems Systems and OptimizationConcentration

 

Coursework:                Approximate Dynamic Programming

Machine Learning

 Statistical Signal Processing, Adaptive Signal Processing

Convex Optimization with Engineering Applications

, Dynamic Linear Systems, Convex Optimization with Engineering Applications, The Fourier Transform and its Applications

 

McGill University – Montreal, Canada  (2000)

Bachelor of Science in Computer Engineering, GPA 3.9/ 4.0


Graduated with Distinction

J. W. McConnell Award – Presented to the top 5% of the Faculty of Engineering

McGill Golden Key Honor Society – Top 15% of Faculty

Dean’s Honor List

Coursework:                Artificial Intelligence

Introduction to VLSI SystemsControl Systems

Electronic Design

, Control Systems Theory, Artificial Intelligence


 

Work and Long-Term Project Experience:

Depth Reconstruction from a Single Image

§      Studied the problem of  3D reconstruction of in-door environments from a single image.

§      Applied concepts of Machine Learning to the recognition of the ground plane in an image.

§      Developed an algorithm to generate a Virtual Reality model of a room from a single picture.

 

EEG Artifact Cancellation using Adaptive Signal Processing

§      Studied the problem of artifact removal from Electroencephalographic readings.

§      Applied adaptive noise canceling and component-based methods to isolate and extract artifacts  from a montage of EEG signals.

§      Presented encouraging results of common artifact removal using an online algorithm of Independent Component Analysis.

 

Gamma Large Area Space Telescope Project

§      Developed Python scripts for testing and validation of different electronic components of the Data Acquisition System (DAQ).

§      Developed a common Graphical User Interface for the large suite of tests for the DAQ.

 

Research & Development for OFDM technology

Digital Signal Design Laboratory   (2001-2003)

Wavesat Wireless Inc.  

Designer for COFDM (Coded Orthogonal Frequency Division Multiplexing) technology research and development team

§      Developed different algorithms for the 802.16a/d OFDM encoding and decoding path (burst synchronization, frequency correction, digital IF conversion)

§      Conceived an OFDM Digital Radio Transceiver Implemented many signal processing algorithms in hardware descriptive language targeting an Application Specific Integrated Circuit production

§      Researched for Synchronization on a Burst Stream of OFDM Encoded SymbolsParticipated in the architecture and the validation of the corporation’s first large-scale, multi-million gate ASIC product.

 

OFDM Digital Radio Transceiver  (2003)

Wavesat Wireless Inc.

Designed, developed, and tested a low-cost digital radio transceiver for a COFDM chip

§Presented a prototype design for an  optimized, high-performance digital IF transmission and reception stages in the 15-25 MHz range

§Implemented discrete-time non-integer  interpolation using polyphase FIR filters

§Designed, simulated, and integrated successfully on a Virtex 2 FPGA chip

§Presented a professional technical lecture regarding signal conversion techniques and covering: DFT representations, sampling theorem, single side band up/down-conversion

 

Synchronisation on a Burst Stream of OFDM Encoded Symbols  (2001)

Wavesat Wireless Inc.

Designed and implemented a patent pending synchronization algorithm for a COFDM modem chip

§Developed a minimal overhead and signal power independent synchronization process using novel cross-correlation techniques

§Modeled and simulated most OFDM channel impairment: such as AWGN noise, frequency offsets and multipath interference, SUI models

§Filed the algorithm for patent and successfully integrated it in the corporation’s latest ASIC product


Robo Cup Challenge - Artificial Intelligent Autonomous Agent  (2000)

McGilll University - Department of Computer Engineering

Created a computerised “thinking” soccer players using artificial intelligence techniques

§Developed and trained neural networks for ball manipulation (strength and orientation of kick)

§Applied reinforcement learning techniques to develop computer player strategy

§Awarded third place at McGill’s Robo Cup Competition

 

CAD Support Group  (Summer 2000)

PMC-Sierra

Evaluated, designed and supported various CAD acceleration solutions

§Implemented a test scan logic insertion tool for VHDL designs

§Deployed a batch workload managing tool on the company’s distributed IT environment

 

Research Assistance for the Face Recognition & Tracking Project  (1999)

 

McGill University - Center for Intelligent Machines

Assisted Professor Martin D. Levine in his study of novel face recognition and tracking techniques for real-time streaming video application

§Developed a software program that locates and tracks dynamic bodies in a streaming video

§Researched and evaluated the commonly used techniques for their speed of execution and robustness

§Studied and implemented FIR filters, clustering techniques and Kalman filtering

§Presented a thesis discussing the robustness and efficiency of the chosen algorithm

 

 PublicationsPatents:

* Labs J., Delage E., Ullman R., Beaton G. (2003) Synchronizing Method and Apparatus.

 

 

* Labs J., Delage E. (2003) Method and Apparatus for Estimating Frequency Offset for an

OFDM Burst Receiver.

 

    

  * - Patent Pending

 

Skills:

Fluent Languages: French, English

Computer Languages: C, C++, Java, Python, MATLAB, VHDL, HSpice, MIPS & DSP

 Assembly language

Productivity Software: Microsoft Office, Visio

 

Awards:

 

Women  Associates  Scholarship for exceptional academic standing in an undergraduate program

First prize at the Electrical Engineering Competition of Engineering Games 2000