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!مرحباً
Welcome!

LittlestTokyo model from MrDoob ThreeJS
Adam Ghanem 🦆

Adam Ghanem

M.Phil Student

University of Sydney

Hi there! I am a M.Phil student at the Univeristy of Sydney and I am researching artificial intelligence within the FSA lab team. My research interests include natural language models, text-to-image diffusion, systems and sparsity. I am a member of the FSA group within the university, which deals with system architectures and consists of an amazing collection of minds who contribute to a vast space of topics within the computer architecture and system fields.

Skills

Python

Among a collection of other languages.

Docker

Docker management of key apps and servers.

Machine Learning

Where we make machines learn to play jenga.

App and Web Development

Side projects for different groups and personal hobbies.

python

DJango Server Development

Experience

 
 
 
 
 
FMH Lab, University of Sydney
Virtual IT Assets Officer
FMH Lab, University of Sydney
February 2024 – Present Sydney

Responsibilities include:

  • Website Development
  • Docker Management
  • Software Security
  • Git Integration
  • Data Management
 
 
 
 
 
Taking Paediatrics Abroad, TPA
IT Expert Volunteering
Taking Paediatrics Abroad, TPA
October 2023 – Present Sydney

Responsibilities include:

  • IT Sysadmin
  • Software Maintenance
  • Website Development
  • Security
 
 
 
 
 
University of Sydney
Research Assistant
University of Sydney
January 2022 – Present Sydney
Research assistant for FSA Labs at the University of Sydney.
 
 
 
 
 
FMH Lab, University of Sydney
Casual Developer
FMH Lab, University of Sydney
November 2022 – December 2023 Sydney

Responsibilities include:

  • Developing
  • Maintaining
  • Sys Admin
  • Security
 
 
 
 
 
University of Sydney
Master of Philosophy
University of Sydney
January 2023 – Present Sydney
Research degree at the university of Sydney.
 
 
 
 
 
University of Sydney
University Tutor
University of Sydney
January 2018 – Present Sydney

Taught and marked for a variety of units at the university including:

  • SOFT3410
  • SOFT3202
  • SOFT2201
  • MEDS3888
  • INFO1113
  • INFO1111
  • INFO1110
  • OLET1301
 
 
 
 
 
University of Sydney
Bachelor of Advanced Computing
University of Sydney
January 2017 – January 2022 Sydney
 
 
 
 
 
EzyMaths
Mathematics Tutor
EzyMaths
January 2016 – January 2018 Sydney
Tutored high school mathematics for two years.

Accomplish­ments

DeepSpeed4Science AI Release
deepspeed-ai Sep 2023 – Aug 2023
DeepSpeed4Science Team
usyd
FMH Media Lab VR Open Day Hosting
huggingface
Personal DeepSpeed-Chat Model
huggingface Jan 2023 – Mar 2023
DeepSpeed-Chat on HuggingFace reaching 10000 downloads a month
usyd
First Class Honours
usyd Jan 2022 – Jan 2022
First Class Honours at the University of Sydney
Coursera
Machine Learning Specialisation
Coursera Jan 2021
See certificate
usyd
Invitation into Dalyell Scholars
usyd Jul 2018 – Jul 2018
See certificate
usyd
Bachelor of Advanced Computing (Hons)
usyd Jul 2017 – Dec 2021
See certificate

Teaching

SOFT3410

Concurrency for Software Development

SOFT3202

Software Construction and Design 2

SOFT2201 (marking)

Software Construction and Design 1

INFO1113

Object-Oriented Programmi

INFO1111

Computing 1A Professionalism

INFO1110

Introduction to Programming

OLET1301

Managing and Analysing Data with SQL

MEDS3888

Medical Science Interdisciplinary Project (Unity Development)

MEDS1001

Human Biology (Unity and Web Development)

Recent Posts

DavMail Guide - A local alternative to Microsoft Outlook
Even though Outlook does great at its job, some prefer to use their own email clients and calendars. This is a guide that aims to help those looking to use their own email client (Thunderbird, mbsync, mu4e, emacs etc) through DavMail.
Adam Ghanem
Feb 01 2023 7 min read DavMail, mail, FOSS, email, guides
DavMail Guide - A local alternative to Microsoft Outlook
The Case for Sparse Pattern Based Bayesian Neural Networks
The overconfidence of DNNs has attributed to the recent trend towards stochastic machine learning with uncertainty quantification becoming an important requirement across many different tasks. As stated, the ability for a network to give an interpretation and provide statistical insights of its predictions is critical across numerous application domains.
Adam Ghanem
Jul 15 2022 7 min read BNN, bayesian, AI, Deep Learning, sparsity
The Case for Sparse Pattern Based Bayesian Neural Networks

Projects

*
All Deep Learning Other
DeepSpeed4Science AI
Part of the DeepSpeed4Science AI Team, a Microsoft led initiative.
DeepSpeed4Science AI
Social VR Unity Trauma Room
In progress development of a multiplayr Trauma VR simulation
Social VR Unity Trauma Room
FMH Media Lab Website
Development of the FMH Media Lab website
FMH Media Lab Website
Using QEMU to bypass certain invasive proctoring tools
WIP
Slides
Using QEMU to bypass certain invasive proctoring tools
FSA Lab Website
Development of the Future System Architecture Lab website.
FSA Lab Website
Unity OBJ to HTML Viewer
Github project for the FMH Media Lab to create viewable OBJ views in the web. Supports MTL and textures.
Unity OBJ to HTML Viewer

Gallery

bondi_0.jpg
bondi_1.jpg
dalle-retro-kitty.png
roly.jpg

Recent & Upcoming Talks/Conferences

UMAC International Conference
A conference held by the FMH Media Lab on future technologies and integrations using Unity.
Sep 01 2023 11:00 AM — 1:00 PM FMH Media Lab
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Publications

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi Hanson, Thomas E Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin Aji, Angela Dalton, Michael Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens (2023). DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. Deepspeed4Science.

PDF Arxiv

Feixiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song (2023). RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. RenAIssance.

PDF Arxiv

Adam Ghanem (2022). Sparse Pattern Based Bayesian Neural Networks. SpBNN.

Arxiv

Popular Topics

Academic AI bayesian BNN DavMail Deep Learning Demo Development Exploits FOSS Fun guides mail Microsoft OBJ Privacy Source Themes Unity University Website

Contact

Please feel free to contact me regarding research, projects or any other suitable topic, it will be a pleasure.