NAUMSMOGERS
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ABOUT

PERSONAL DETAILS

BIO

ABOUT ME

I am a first year PhD student in the CDT Pervasive Parallelism programme (CDT PPar homepage) at the University of Edinburgh (University website).

My PhD supervisor is Dr Christophe Dubach (Chirstophe's homepage); I am a member of the Compiler and Architecture Design research group (CArD website).

My research interests are artificial intelligence, automatic optimization and functional programming; I believe that combined these methodologies allow to develop high-performance software without the need for tailoring it manually to low-level hardware specifications.

Functional programming allows implementing algorithms in a hardware-agnostic fashion; rewrite rules-based compilation provides a mechanism for adaptive compilation; finally, huge optimizational space produced by rewrite rules can be searched using machine learning algorithms. This approach targets multi-core platforms such as CPUs, GPUs and FPGAs.

For more information, see my research poster (link to a A0 PDF file).

HOBBIES

INTERESTS

I am fascinated by the Japenese culture: books, movies, music and — guilty — anime.

Another passion of mine is jazz of all kinds — especially contemporary — as well as some hip hop/trip hop and occasional rock. Check out my music library on Tumblr.

I like DIY art and 3D modelling and printing in particular. See examples of my work in the "Works" section.

Informatics Forum, 10 Crichton Street, Edinburgh EH8 9AB, UK
naums.mogers@gmail.com
naums.mogers@ed.ac.uk
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WORKS

Examples of my work
mogersppar2017poster_ld

Research poster #2

naums_mogers_research_poster

Research poster #1

catapult

Auto-aiming catapult

(c) http://www.hobbytronics.co.uk/
Robotics

Pololu 3pi robot

(c) http://www.hobbytronics.co.uk/

Pololu 3pi robot

The second year of the Bachelor’s course, University of York, 2013.

The group assessment was to program the Mbed microcontroller so that robot can follow a wall and avoid obstacles using IR proximity sensors, follow a line using bottom illuminance sensors and navigate on a floor using USB optical mouse tail.

Image source: www.hobbytronics.co.uk

swarm_maze_opencl_solver
Artificial IntelligenceGPGPU

A GPU-Accelerated stigmergic BCMM swarm

swarm_maze_opencl_solver

A GPU-Accelerated stigmergic BCMM swarm

This is my diploma project called “A GPU-Accelerated stigmergic BCMM swarm”. In short, it is a Python maze solver, that simulates a swarm on GPU using OpenCL. Swarm agents use neural networks to navigate in an unknown environment.

The project was developed using Python 3.4.2, OpenCL 1.2 (the code should be 1.0-compatible), PyOpenCL, Pygame, Numpy and FFmpeg. The platform is 64-bit Windows 7 and AMD Radeon HD 7870.

This work is distributed under MIT License: you are free to use and change it with appropriate references to the source.

Bachelor’s, the University of York, 2015.

baxter_cropped_compressed
Artificial IntelligenceRoboticsSimulation

Simulated Baxter robot

metallic_checkers
Raspberry PiRobotics

Raspberry Pi project

3dmodel1
3D modelling

The Muse

simulation
RoboticsSimulation

Pololu 3pi robot simulation

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AWARDS

HONORS AND AWARDS
  • Sep
    2016
    Zurich

    IBM and Swiss Re first prize and the hackathon finalist

    HackZurich hackathon

    My team won in the IBM & Swiss Re challenge against 20 teams. Additionally, we became one of 25 finalists out of 152 teams in the main hackathon challenge. We developed a Machine Learning app for risk prediction using home IoT sensors and IBM analytic technologies.
    Demo: https://youtu.be/iuJrS0WwNWQ
  • Mar
    2016
    Edinburgh

    Best Poster

    National Student Research Conference by EUYSRA

    My poster about the YCCSA summer research project "The Sensor Organism" won the contest for the best poster at the National Student Research Conference 2016.
    The poster: PDF
    EUYSRA webpage: http://euysra.wix.com/euysra
    Project blog: https://sensororganism.wordpress.com/
  • Oct
    2015
    York

    Best Poster

    York Doctoral Symposium

    This award was obtained on the 8th York Doctoral Symposium 2015 for the poster on the YCCSA summer research project "The Sensor Organism".
    For a link to the poster, see above.
  • Jul
    2015
    York

    York Award

    The University of York

    The York Award is a programme of personal and skills development offered by the University of York in partnership with leading public, private and voluntary sector organisations. The York Award certificate is awarded alongside the degree in recognition of achievement of a significant programme of activity and, in particular, the adoption of an analytical and reflective approach to learning and competence in a broad range of skills.
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EDUCATION

ACADEMIC DEGREES
  • 2016
    2020
    Edinburgh

    PhD at the CDT in Pervasive Parallelism

    University of Edinburgh

    I am a first year PhD student at the Centre for Doctoral Training in Pervasive parallelism that is sponsored by ARM, Microsoft Research and Google. My supervisor is Dr Christophe Dubach (Christophe's homepage). My research is focused on adaptive compilation of functional programs targeting heterogeneous platforms. My aim is to investigate the benefits of applying machine learning to the problem of choosing the most optimal mapping of functional patterns to parallel computing units: if proven beneficial, this approach will allow to optimize the hardware-agnostic code to a wide range of hardware platforms automatically.
  • 2015
    2016
    Edinburgh

    MSc Artificial Intelligence

    University of Edinburgh

    Dissertation on ‘Expressing artificial neural networks in a functional data-parallel language for GPU acceleration’. The curriculum included courses in Machine Learning, Computational Cognitive Science, Computational Cognitive Neuroscience, Sensorimotor Control in Robotics and Theories of Mind.
  • 2011
    2015
    York

    BEng Computer Science (with a year in industry)

    University of York

    Dissertation on ‘Memory in simulated swarms’. The project covered such topics as neural networks, swarm intelligence and GPU-accelerated computing. Project grade: First-class honours. Several of my course projects are available on GitHub.

    The curriculum was focused on two topics: low-level programming (schedulability analysis, embedded software, real-time systems, compilers) and artificial intelligence (neural computing, search algorithms, multi-agent systems).

  • 2005
    2011
    Riga

    Certificate of Completion

    Progmeistars Programming School

    Programming courses on Object-Oriented Programming, SQL relational databases, Algorithm construction methods, Calculation methods, Logo, Object Pascal, Delphi and C++.
  • 1999
    2011
    Riga

    Certificate of Secondary education

    Riga School No 40

    Average diploma grade: 9.1 out of 10. A-levels equivalent state examination results: A (Mathematics), A (Physics), A (Informatics), A (English language), A (Russian Literature), B (Latvian Language)
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SCHOLARSHIPS

Funding awards
  • 2016
    2020

    CDT Pervasive Parallelism

    University of Edinburgh

    Four-year scholarship sponsored by the Engineering and Physical Sciences Research Council.
  • 2015

    Summer Research Scholarship

    York Centre for Complex Systems Analysis, University of York

    Biologically inspired electronics project focused on building a Wireless Sensor Network system based on a model of a multicellular organism. The programme included participation in conferences and workshops on research skills. In the course of the programme, I maintained a 5,000 words-long research blog: https://sensororganism.wordpress.com/
  • 2014

    Raspberry Pi project funding

    Department of Computer Science, University of York

    I responded to a competitive call for proposals and acquired funding to design and develop a Raspberry Pi-related project that helps promote technology in schools. The project included microcontroller programming in Python and Scratch, electric circuit design and use of actuators. I conducted a Raspberry Pi workshop for schoolteachers and participated in technology exhibition.
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PUBLICATIONS

PUBLICATIONS LIST
SORTING BY DATE
01 Oct 2015

The Sensor Organism

York

Large-scale, distributed sensor networks are the projected weapon of choice for future pervasive computing applications such as, for example, environment monitoring, surveillance, (big) data mining and patient monitoring. However, state-of-the-art approaches face major challenges: specialized sensors are expensive and require careful calibration. Hardware sensors operating in uncertain, harsh environments eventually suffer from stress, ageing and physical damage, which leads to unforeseen effects that can render the device and the data recorded useless. Highly-tuned data processing algorithms are often not scalable and are not robust against faulty sensors delivering wrong data. Generally, systems can only adapt, if at all, in some predefined limited ways and are not capable of autonomously “inventing” new ways of adapting to unexpected changes in their internal and external environment.

This project follows a different approach to sensor network development drawing inspiration from nature, where biological systems self-organize, selfheal, sense, process information and react, emerging from evolutionary and developmental processes. Exploiting the advantages of a distributed structure of cellular systems this project perceives sensor networks as spatially distributed multicellular organisms where each sensor node represents a cell colony or a DNA bank. It is hypothesized that incorporating artificial cell development mechanisms and gene regulatory networks within each sensor node enable emerging beneficial properties of fault-tolerance, adaptivity and scalability in a sensor network. In order to investigate if this hypothesis holds in the context of a constrained distributed embedded system, the model is optimized for the Arduino microcontroller.

External link to the publication >>


Naums Mogers, Martin Trefzer, Dimitris Lagos

The Sensor Organism

Naums Mogers, Martin Trefzer, Dimitris Lagos

Large-scale, distributed sensor networks are the projected weapon of choice for future pervasive computing applications such as, for example, environment monitoring, surveillance, (big) data mining and patient monitoring. However, state-of-the-art approaches face major challenges: specialized sensors are expensive and require careful calibration. Hardware sensors operating in uncertain, harsh environments eventually suffer from stress, ageing and physical damage, which leads to unforeseen effects that can render the device and the data recorded useless. Highly-tuned data processing algorithms are often not scalable and are not robust against faulty sensors delivering wrong data. Generally, systems can only adapt, if at all, in some predefined limited ways and are not capable of autonomously “inventing” new ways of adapting to unexpected changes in their internal and external environment.

This project follows a different approach to sensor network development drawing inspiration from nature, where biological systems self-organize, selfheal, sense, process information and react, emerging from evolutionary and developmental processes. Exploiting the advantages of a distributed structure of cellular systems this project perceives sensor networks as spatially distributed multicellular organisms where each sensor node represents a cell colony or a DNA bank. It is hypothesized that incorporating artificial cell development mechanisms and gene regulatory networks within each sensor node enable emerging beneficial properties of fault-tolerance, adaptivity and scalability in a sensor network. In order to investigate if this hypothesis holds in the context of a constrained distributed embedded system, the model is optimized for the Arduino microcontroller.

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WORK

ACADEMIC AND PROFESSIONAL POSITIONS
  • Sep 2016
    Now
    Edinburgh

    News Annotator

    Thomson Reuters

    As a part of a research project in natural language processing at Thomson Reuters R&D department, I have been annotating news articles with semantic tokens that aid automatic learning for a machine learning system.
  • Jul 2015
    Sep 2015
    York

    Research Intern

    York Centre for Complex Systems Analysis

    As a holder of the Summer Research Scholarship, I worked on an interdisciplinary research project called “The Sensor Organism”. I designed a biologically inspired cellular model on a Wireless Sensor Network of Arduinos, capturing such biological properties as adaptivity, self-organization and fault-tolerance. Research topics covered include Artificial Epigenetic Regulatory Networks, Genetic Programming and Cell Signalling. Upon completion of the programme, I won two Best Poster awards for the project poster and was published in conference proceedings.
  • Feb 2014
    May 2014
    York

    Hardware Lab Demonstrator

    University of York

    During the prospective undergraduates’ interview days, I worked as a student guide and a hardware lab demonstrator, which required explaining technical terms in a simple and engaging manner, as well as representing my department in a positive way.
  • Jul 2013
    Jul 2014
    Abingdon

    Engineering Intern

    Sophos

    I worked in the Core Products department, where my responsibilities included antivirus engine development in C/C++/Python, manual and automated testing, code reviews, debugging, documentation maintenance and software release preparation. The team employed Agile Development extensively, involving a great deal of teamwork including pair programming and daily planning meetings.
  • Jul 2012
    Sep 2012
    Brighton

    IT and Digital Summer Intern

    EDF Energy

    As a member of EDF R&D department, I worked on OCR software development in C++ and IT market research. I was also responsible for preparing interactive Virtual Reality attraction for EDF sponsor hub in London Olympics 2012 park, which included a lot of IT support.
  • Feb 2012
    Aug 2012
    York

    Web Designer Intern

    Stockholm Environment Institute York

    During this part-time internship, I worked with the client on specifying requirements for the new website design and after a series of Adobe Photoshop mock-ups, I delivered a design project, which was approved by the client.
  • Jun 2009
    Dec 2014
    Riga, Latvia

    System Administrator / Software Developer

    M2 Ltd

    Part-time during the academic year, full-time during summers except for 2012, I developed and maintained accounting software (first versions in PHP, later in Visual Basic) and provided extensive IT support such as maintaining and upgrading computers and advising on IT strategy. During the summer of 2014, I migrated and upgraded whole company's emails and file shares to the new providers (Rackspace Email, Google Drive).
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TEACHING

TEACHING EXPERIENCE
  • 2016
    Edinburgh

    Tutor

    “Software Testing” course, University of Edinburgh

    I tutored in a series of "Software Testing" course tutorials for third year UG students. The position required me to expand on the lecture material using practical examples, walk students through a set of exercises and answer questions.
  • 2016
    2017
    Edinburgh

    Teaching Assistant / Marker

    “Algorithms, Data Structures And Learning” course, University of Edinburgh

    Responsibilities include preparing assessed coursework materials, providing support to students and marking pen & paper and programming assignments.
  • 2016
    Edinburgh

    Marker

    “Processing Formal And Natural Languages” course, University of Edinburgh

    Responsibilities include marking programming assignments.
  • 2008
    2016
    Riga, Latvia

    Teaching Assistant / Camp counsellor

    ABFS School

    For one year, I assisted in teaching during the academic year and worked as a counsellor in four yearly summer camps. I organized courses and conducted entertainment activities; the curriculum included biology, physics, chemistry and history.
    In 2016, I conducted lessons in Computational Neuroscience on Multilayer Perceptrons.
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PRESENTATIONS

Delivered talks
  • 2017
    Edinburgh

    Raspberry Pi workshop

    Microsoft Student Partners

    Co-organised two Microsoft-funded Raspberry Pi workshops for undergraduate and postgraduate students in Engineering and Informatics. Apart from a hands-on experience of 16 crisp-new Raspberry Pis and an auxiliary board, the workshop gave students a skill-set that allows to quickly prototype and deploy low-cost IoT setups that interact with the environment using sensors and actuators, as well as communicate over the Internet. Over six hour-long workshops we introduced students to Windows IoT core, which comes with a range of handy debugging and over-the-Internet deploying tools such as the latest Visual Studio, the cross-platform Visual Studio Code and the IoT dashboard. For a broader Raspberry Pi experience, students also tried setting up microcontrollers from scratch using Raspbian. Apart from helping out with the Windows IoT tutorial, my personal contribution was the Raspberry Pi's Linux tutorial, which included a half-hour lecture with demos and a tutorial on setting up and programming on Raspbian.
  • Sep 2016
    Zurich, Switzerland

    Hackathon Pitch

    HackZurich 2016

    A pitch in front of an audience of 600 people.
  • Sep 2015
    York

    Research project presentation

    York Centre for Complex Systems Analysis

    Upon completion of the summer research internship, I presented my project in front of the members of the research group.
  • Jun 2015
    Riga, Latvia

    Lectures on artificial intelligence and computational cognitive neuroscience

    ABFS School

    In two summer camps for secondary school students, I delivered a lecture on nature-inspired computational methods in artificial intelligence as well as conducted a lesson on computational cognitive neuroscience, where I gave a lecture on modelling visual cognition in human brain using Recurrent Neural Networks.
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SKILLS

Computer Skills
Python, MATLAB, Visual Basic
LEVEL : Expert
Sophos University of York University of Edinburgh M2 Ltd
C, OpenCL, PHP, JavaScript, CSS, LaTeX
LEVEL : Advanced
University of York M2 Ltd Freelance Web Development University of Edinburgh
Java, MySQL, Xilinx
LEVEL : Intermediate
University of York
C++, Scala, Tensorflow, FPGA, Arduino, Raspberry Pi, mbed
LEVEL : Basic
University of York Sophos University of Edinburgh
R
LEVEL : Some familiarity
University of York Univesrity of Edinburgh
Languages
English
LEVEL : Fluent
Russian
LEVEL : Native
Latvian
LEVEL : Intermediate
German
LEVEL : Beginner
Hobbies
3D-modelling > Pursuing my interest in DIY art, I learned 3D modelling in Blender, as well as 3D printing.
LEVEL : 1 year of practice
3D printing 3D modelling
Piano > I graduated from an eight-year music school with the Certificate of Music Education in piano class; in 2012, I played in the university chamber orchestra.
LEVEL : 9 years of practice
Surfing > Occasional vacation features kitesurfing and windsurfing, with a certificate in the former.
LEVEL : Intermediate