Philip "Sam" Davis is pursuing a PhD in electrical engineering from New Mexico State University with a focus on signal processing, embedded programming, and machine learning. He has extensive academic and research experience in these areas, including coursework, research projects analyzing EEG signals to predict human perceptions, and internships. His skills include signal processing, machine learning, embedded systems, and software/hardware design. He is currently finishing his dissertation and has published several papers in the field.
Click to edit summaryLooking for an opportunity to start my Industrial career in the culture that encourages talent and innovation, promotes growth with utilization of my educational skills and where I can prove my Technical and Non-Technical competence and creative thinking as an individual and as a team player.
Opeed optimal energy efficient neighbor discovery scheme in opportunistic ne...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Click to edit summaryLooking for an opportunity to start my Industrial career in the culture that encourages talent and innovation, promotes growth with utilization of my educational skills and where I can prove my Technical and Non-Technical competence and creative thinking as an individual and as a team player.
Opeed optimal energy efficient neighbor discovery scheme in opportunistic ne...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
2022_02_25 «Aprovechar la infraestructura de la ciudad inteligente para capac...eMadrid network
«Aprovechar la infraestructura de la ciudad inteligente para capacitar de forma remota a estudiantes universitarios de ingeniería». Johann Marquez-Barja
The human brain is a complex system consisting of connections between different neurons and regions creating networks, known as Brain Networks. Particularly relevant in this context are Resting State Networks (RSNs), which are synchronous fluctuations between spatially distinct regions, occurring in the absence of a task or stimulus. Neuroscientists have identified modifications in RSNs in many neurodegenerative diseases, thus a long-term analysis of them is fundamental to monitor alterations in brain functional connectivity. Nonetheless, the statistical tools in charge of analyzing RSNs currently fail in reaching significant levels of throughput, due to the huge amount of data to process. For this reason, our work consists of a hardware acceleration on FPGA design of the Independent Component Analysis (ICA), a state-of-the-art statistical method for RSNs recognition, in order to accelerate the data analysis process. We evaluated and deployed our implementation on Amazon F1 instances. The experimental results show that our hardware implementation is able to outperform GIFT, one of the most commonly used tools to identify RSNs, by a factor of 5x.
A Novel Three-Dimensional Adaptive Localization (T-Dial) Algorithm for Wirele...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Presentation done at the 9th Summer School on Ontological Engineering and the Semantic Web (SSSW2012, http://sssw.org/) in July 2012. Please do treat references to people (e.g., Manfred Hauswirth) and nationalities (e.g., about Swiss) in the context in which they were done.
2022_02_25 «Aprovechar la infraestructura de la ciudad inteligente para capac...eMadrid network
«Aprovechar la infraestructura de la ciudad inteligente para capacitar de forma remota a estudiantes universitarios de ingeniería». Johann Marquez-Barja
The human brain is a complex system consisting of connections between different neurons and regions creating networks, known as Brain Networks. Particularly relevant in this context are Resting State Networks (RSNs), which are synchronous fluctuations between spatially distinct regions, occurring in the absence of a task or stimulus. Neuroscientists have identified modifications in RSNs in many neurodegenerative diseases, thus a long-term analysis of them is fundamental to monitor alterations in brain functional connectivity. Nonetheless, the statistical tools in charge of analyzing RSNs currently fail in reaching significant levels of throughput, due to the huge amount of data to process. For this reason, our work consists of a hardware acceleration on FPGA design of the Independent Component Analysis (ICA), a state-of-the-art statistical method for RSNs recognition, in order to accelerate the data analysis process. We evaluated and deployed our implementation on Amazon F1 instances. The experimental results show that our hardware implementation is able to outperform GIFT, one of the most commonly used tools to identify RSNs, by a factor of 5x.
A Novel Three-Dimensional Adaptive Localization (T-Dial) Algorithm for Wirele...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Presentation done at the 9th Summer School on Ontological Engineering and the Semantic Web (SSSW2012, http://sssw.org/) in July 2012. Please do treat references to people (e.g., Manfred Hauswirth) and nationalities (e.g., about Swiss) in the context in which they were done.
LP Report written by Coolidge Corner investment (CCVC)
2014 was a huge year for the new wave of Korea startups. Despite worries that the venture bubble may be about to pop, Korea hot startups had yet another blockbuster year
Presented at the Intel Global IoT DevFest (Oct 2017)
- Real-world use cases: healthcare, building management, retail, smart cities, transportation
- Time-series analysis
- AI / ML overview & applications
1. Philip “Sam” Davis
17620 Wagon Wheel Dr.
El Paso, TX 79938
Cell: (801) 891-9568
psdavis1@gmail.com
Objectives:
Pursue a career in electrical engineering focusing on digital signal processing,
embedded programing, and machine learning.
Academic Experience
Graduate Education:
I am currently in my last semester of combined Masters/PhD program in Electrical Engineering
focusing on Signal Processing at New Mexico State University
GPA: 4.0
Courses: Digital signal processing, Digital Image Processing, Machine Learning and
Pattern Recognition, Random Signal Analysis, Information Theory, Signal Detection and
Estimation Theory, Real Time DSP, Biosensor Electronics.
Undergraduate Education and Honors:
B.S. – Electrical Engineering and Supplemental Applied Mathematics – 2006, New Mexico State
University
GPA: 4.0
Dean’s List in NMSU College of Engineering – every semester during 2002-2006
Exchange Program at University of Utah – 2004-2005
Courses: Intro to digital signal processing, digital communications, signals and systems,
digital design.
Concurrent Enrollment – 2001-2002, Northern Arizona University
GPA: 4.0
Courses: Applied Statistics, Biology, Calculus I, II, and III
Online Uncredited Courses:
Machine Learning and Neural Networks for Machine Learning courses taken through the free
online website Coursera.
Research and Work Experience
New Mexico State University – August 2010 – present
Research Assistant exploring compressive sensing topics
Use Matlab and parallel processing toolbox to run simulations.
Study the human perception of video quality through the use of signal processing
techniques on electroencephalograph (EEG) signals. Feature vectors from raw data are
created to perform discriminant analysis between low and high quality video. Machine
learning techniques are applied to try to predict which quality of video a user is viewing.
Design of hardware in a FPGA to measure cross frequency coupling between low and
high brainwave frequencies in a single EEG channel.
Run human test subjects in audio and visual trials.
Medtronic – May 2015 to August 2015
Summer internship working on pulse oximetry.
Machine learning algorithms applied to pulse oximetry signal.
Covidien – May 2014 to August 2014
Summer internship working on pulse oximetry.
Integrating and testing new sensor designs with existing technology.
Interfacing sensors with Freescale Kinetis processor on an embedded platform.
2. Lowell Observatory – July 2007 to July 2010
Research and development of new distributed control systems on the telescope array.
These new control systems allow for remote monitoring and mirror alignment.
Embedded software design and development with Texas Instruments MSP430 micro-
controller, Altera’s Max II CPLD and Cyclone II FPGA.
Testing and debugging new and existing electrical control systems
Trouble shooting and fixing aging electronic systems on the array
RC Optical Systems – November 2009
PCB design for new telescope focusing control unit
CERN – June to August 2006
Nation Science Foundation Research Experience for Undergraduates through the
University of Michigan at CERN in Genève, Switzerland.
Engineering responsibilities include circuit verification and analysis using Quartus II.
Physics research using data generated in a Monte Carlo simulation representing data
from the new Large Hadron Collider particle accelerator to search for a theoretical
particle in a certain decay channel by suppressing background signals.
Senior Capstone Class – August 2005 to May 2006
Worked in a team to design and create a distributed sensor array.
Designed a Monte Carlo simulation in Matlab to determine the number of sensor nodes
and the distribution needed for a given test area.
Data analysis of sensor nodes.
Designed the PCB using PCB123 for the sensor nodes.
Pinnacle Mapping Technologies – January to May 2004
Co-operative work-study program in Flagstaff, Arizona.
Responsibilities included image analysis and rectification using ENVI and ArcView.
Professional Organizations:
IEEE
Mathematical Association of America
Relevant Skills
Signal Processing
Filter design and analysis
Fixed and floating point filter design and implementation.
Use of FFT for signal analysis
The use of up and down sampling signals.
Time series analysis.
Machine Learning
Extensive use of classifiers including Support Vector Machines (SVM), Deep Neural
Networks, Convolutional Neural Networks, Gaussian Mixture Models, and linear
discriminant analysis.
Feature extraction and analysis.
Use of Principle Component Analysis (PCA) for dimensionality reduction.
Embedded and Digital Design
Design in analog and digital electronics.
Work with Freescales Kinetis Low Power 32-bit arm MCU.
Use ISE to design and validate hardware in a Xilinx FPGA.
Use of Altera’s Quartus II software for programming Cyclone II FPGA’a and Max II
3. CPLD’s using Verilog HDL.
Use of Altera’s TimeQuest Analyzer to verify FPGA timing requirements
Work with Mentor Graphics Modelsim to verify FPGA design functionality and timing
Implementation of Nios II processor on Altera FPGA’s
Extensive use of Texas Instruments Code Composer V3 to program and test their 16
bit MSP430 microcontroller.
Assembly programming with the Freescale DSP56302 DSP
Fixed point implementation of signal processing algorithms in real time using Texas
Instruments TMS320C6416 DSP
Embedded Hardware design of 16 bit CPU’s. Embedded software design using
professional development and debugging environments and modern software
architectures.
Use of JTAG for programming and debugging software
Communication Protocols and Busses: RS232, Ethernet, SPI, and I2C
Programming in C and C++, work with wrappers and DLL’s in C/C++/C#, object
oriented design patters.
Designing, testing, and debugging prototype control systems with embedded CPU’s
and digital and analog components.
Software and Other Skills
Use of Matlab for data analysis, communication protocol simulation, and Monte Carlo
simulations.
Troubleshooting analog, digital, and communication signals using oscilloscopes and
other various lab equipment.
System design from concept to development.
Work with DC and Stepper motors. Use of Stepper motor controllers with micro
stepping capability for accurate positioning of devices. Use of PWM with DC motor
controllers for speed and resolution control.
Environments: Window and Linux (Fedora and Ubuntu)
Other Software: Multisim, PSpice, Microsoft Visual Studio, MPLab.
Multilayer, high-density PCB design using Cadsoft’s Eagle.
Surface mount soldering
Multi-Platform GUI design using QT4
Adept at reading schematics and data sheets
RTD/PT100 temperature sensors
Publications
P. Davis, C. Creusere, and J. Kroger. Assessing Cross Frequency Coupling in EEG Collected
from Subjects Viewing Video using a Modified Metric. Southwest Symposium on Image Analysis
and Interpretation. IEEE, 2016
P. Davis, C. Creusere, and W. Tang. Window length effect on cross frequency coupling in an
EEG processing circuit. 58th International Midwest Symposium on Circuits and Systems
(MWSCAS). IEEE, 2015
P. Davis, C. Creusere, and J. Kroger. Subject Identification Based on EEG Responses to Video
Stimuli. International Conference on Image Processing. IEEE, 2015
P. Davis, C. Creusere, and J. Kroger. Classification of Human Viewers Using High-Resolution
EEG with SVM. IEEE Conference Record of the Forty Eighth Asilomar Conference on Signals,
Systems and Computers (ASILOMAR). IEEE, 2014
P. Davis, C. Creusere, and W. Tang. ASIC Implementation of the Cross Frequency Coupling
Algorithm for EEG Signal Processing. 14th International Symposium on Integrated Circuits
(ISIC). 2014
P. Davis, C. Creusere, and J. Kroger. EEG and the human perception of video quality: Impact of
channel selection on discrimination. In 1st IEEE Global Conference on Signal and Information
Processing. IEEE, 2013.