Millenium Falcon Model
Portfolio
Millenium Falcon Model
Portfolio
Completed a 1/72 model of Millenium Falcon consisting of 904 pieces. Gosh, what a pleasure that was!
More close-ups in Google Photos.
Hello
I'm Naums Mogers
a PhD student in AI
- Degrees MRes, MSc, BEng
- Pages Summer project blog, GitHub
- E-mail naums.mogers@gmail.com
- Neural Networks, computational efficiency of ML, GPGPU, functional representation of DNNets
I am a first year PhD student in the CDT Pervasive Parallelism at the University of Edinburgh. My PhD is supervised by Dr Christophe Dubach and co-supervised by Dr Michel Steuwer; I am a member of the Lift research group.
The goal of my project is to bring performance portability to deep neural networks (NN). The approach is three-fold: abstracting NN implementation from hardware by expressing NNs in a functional language Lift, encoding generic and NN-specific optimisations as rewrite rules and producing corresponding OpenCL kernels. This methodology removes the need for expensive manual tuning of NN implementations to target hardware, and allows compiling NNs for a wide range of OpenCL-supporting GPUs and CPUs. High performance is delivered using such optimisational methods as memory access coalescing, parallel mappings space exploration, faster memory types exploitation, neuron pruning, approximate computations using weight quantisation and convolutional kernel singular-value decomposition. For more information, see my research poster and project page.
Bio highlights
6
Internships
4
Awards
3
Scholarships
1
Publication
8
Courses tought
Education
2017 – 2020
PhD in Optimising Compilation of Machine Learning Models for Heterogeneous Hardware
University of Edinburgh
2016 – 2017
Master of Science by Research in Pervasive Parallelism
University of Edinburgh
Dissertation title: ‘Computational Efficiency Optimisation Of Convolutional Neural Networks Using A Functional Data-Parallel Language‘.2015 – 2016
Master of Science in Artificial Intelligence
University of Edinburgh
Dissertation title: ‘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
Bachelor of Engineering in Computer Science (with a year in industry)
University of York
Dissertation title: ‘Memory In Simulated Swarms’ (First-class honours). Project topics: neural networks, swarm intelligence and GPU-accelerated computing.2005 – 2011
Programming Courses
Progmeistars Programming School
OOP, SQL, Algorithms, Calculation methods, Logo, Object Pascal, Delphi and C++.Awards and achievements
Google PhD Summit Participant
December 2017, Google Munich
Selected by Google to join the Compiler and Programming Language Summit 2017, where I presented a poster on my research project. Participated in the Round Tables where Google engineers shared highlights of Google’s latest research in the area of programming language implementation and how this research is applied to compilers and language tooling at Google.
Google Inside Look Participant
August 2017, Google London
Selected by Google for their exclusive Inside Look Program, offering top Technical students a fully sponsored two day program of tech talks, workshops, and other technical development content. Awarded to only 31 students out of thousands of applicants from Europe, Middle East and Africa.
Facebook PhD Tech Talk
October 2018, Facebook London
Selected by Facebook for a PhD Open House event for a talk and panel about research at Facebook.
Best poster
March 2016, National Student Research Conference
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.
IBM and Swiss Re first prize and the hackathon finalist
September 2016, HackZurich
My team won in the IBM & Swiss Re challenge against 20 teams in the largest European hackathon HackZurich. 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.
York Award
July 2015, 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.
Best Poster
October 2015, 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”.
Work Experience
Aug 2018 — Oct 2018
Research intern
Microsoft Research Cambridge
I worked on the project BrainWave, extending the functional data-parallel Lift compiler to a specialized machine learning accelerator. This work included extensive changes to all parts of the compilation chain including type checking, memory management, rewriting and code generation.
2006 - 2018
Teaching Assistant
Engaged in teaching in weekend school and university courses. Co-wrote two four-day courses on artificial intelligence; prepared, maintained and marked courseworks and exams; conducted tutorials in software testing, microcontroller programming and statistics.
Sep 2016 – Jun 2017
News Annotator
Thomson Reuters
As a part of a research project in natural language processing at Thomson Reuters R&D department, I annotated news articles with semantic tokens that aid automatic learning for a machine learning system.
Jul 2015 – Sep 2015
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
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
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
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
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
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).
Scholarships
CDT Pervasive Parallelism
2016 – 2020, University of Edinburgh
Four-year scholarship sponsored by the Engineering and Physical Sciences Research Council.
Summer Research Scholarship
2015, York Centre for Complex Systems Analysis
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.
Raspberry Pi project funding
2014, 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.
Publications
- Mogers, Naums, Dimitris Lagos, and Martin Albrecht Trefzer. “The Sensor Organism” York Doctoral Symposium. York, 2015.
Teaching
2008 – 2016
Tutor / Teaching Assistant
Machine Learning, Facultative School For Talented Children
I assisted in teaching during the academic year and worked as a counsellor in five yearly summer camps. I wrote two courses from scratch on Neural Networks and Decision Trees, which involved preparing lectures and interactive courseworks; the challenge was to explain university-level materials to 8-9-grade students.
2017
Tutor
Software Testing, 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 – 2018
Teaching Assistant / Marker
Algorithms, Data Structures And Learning, University of Edinburgh
For two years in a row, my responsibilities include preparing assessed coursework materials, developing an automarker, providing support to students and marking pen & paper and programming assignments.
2017
Workshop tutor
Raspberry Pi workshop, Microsoft Student Partners
Co-organised two Microsoft-funded Raspberry Pi workshops for undergraduate and postgraduate students in Engineering and Informatics. Over two six hour-long workshops we introduced students to Windows IoT core, the cross-platform Visual Studio Code and the IoT dashboard. 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.
2017 – 2018
Teaching Assistant
Object-Oriented Programming, University of Edinburgh
The role includes preparing exam papers for assessing OOP in Java, developing an automarker and
providing feedback to students via a forum.
2017
Marker
Introductory Applied Machine Learning, University of Edinburgh
The responsibilities include marking two machine learning-related programming assignments, as well as a closed exam taken by 200+ students.
2016
Marker
Processing Formal And Natural Languages, University of Edinburgh
Developed an automarker, marked programming assignments, provided feedback on code quality.
Skills
Volunteering
Cohort Representative
Since 2016, I am representing my cohort in the Centre for Doctoral Training (CDT) staff-student meetings.
PGR Student Representative
Since 2017, I am representing my programme (CDT) in the department-wide Staff-student liaison committee.
Projects
Auto-aiming catapult
Portfolio
Auto-aiming catapult
Portfolio
In 2016, I organized a workshop in a scientific summer school, where we built four auto-aiming catapults with a group of 16 years-old students.
The catapults are based on Arduino Uno, Tamiya Twin-Motor Gear Boxes and HC-SR04 ultrasonic sensor; the frame is made of plywood.
The goal of the workshop was to learn how to operate the wood workshop tools, and learn the mechanisms of motors, microcontrollers and ultrasonic sensors.
Pololu 3pi robot
Portfolio
Pololu 3pi robot
Portfolio
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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 |
A GPU-Accelerated stigmergic BCMM swarm
Portfolio
A GPU-Accelerated stigmergic BCMM swarm
Portfolio
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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. |
Simulated Baxter robot
Portfolio
Simulated Baxter robot
Portfolio
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This is a V-Rep 3D simulation of Baxter robot reaching targets and comfortable poses from different initial positions. Produced as a part of a homework assignment for the Robot Learning & Sensorimotor Control course at the University of Edinburgh. Master’s, the University of Edinburgh 2016. |
Raspberry Pi project
Portfolio
Raspberry Pi project
Portfolio
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I participated in the York Raspberry Jam & Maker Event at the National STEM Centre. Together with other CS students we presented our raspberry projects, which we delivered for the “Raspberry Pi in the classroom” event — the idea was to design projects which could be repeated in schools with children learning to use Scratch on the Pi. The video above is a demo of my project called “Magnetic checkers” – the goal was to move metallic checker pieces around the field using an electromagnet. The machine ended up resembling a simple 3D printer: 3 stepper motors, one moving base in axis X, two moving the head (magnet) in Y and Z axes. Software allows user to control machine manually and give simple tasks for automatic control (i.e. “move piece from A2 to E7”). Software: Scratch for high-level control, Python for sending high-frequency PWM signal to GPIO pins. Hardware: Meccano structural parts, x3 NEMA 17 motors, x3 A4988 Pololu drivers, 12V 6W electromanget, Raspberry Pi, 3 PSUs. York, 2014. |
Pololu 3pi robot simulation
Portfolio
Pololu 3pi robot simulation
Portfolio
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The individual part of the Pololu 3pi robot group assessment: it is a Matlab simulation, which interacts with robot’s C program by feeding it sensor readings in exchange for motor commands. Bachelor’s course, the University of York, 2013. |
Contacts
Contact form
- E-mail naums.mogers@gmail.com
- Work address Informatics Forum, 10 Crichton St, Edinburgh, EH8 9AB, UK