Full Resume [Download PDF]
Interests:
Artificial Intelligence, Machine Learning, Data Sciences, Distributed Systems and Cloud Computing.
Research Student/Assistant of:
- Dr. Muhammad Fareed Zaffar
- Dr. Ihsan Ayyub Qazi [Webpage]
- Dr. Zartash Afzal Uzmi [Webpage]
Teaching Assistant:
Network Security (Spring 2015-16), Topics in Computer and Network Security (Fall 2015-16), Computer Networks: Principles and Practices (Fall 2013-14), Data Structures (Spring 2012-13), Introduction to Programming (Fall 2012-13)
Publication(s):
"A Classification Based Framework to Predict Viral Threads" [PDF]
Hashim Sharif, Saad Naveed Ismail, Shehroze Farooqi, Muhammad Taha Khan, Muhammad Ali Gulzar, Muhammad Fareed Zaffar, and Ahmed Abbasi
PACIS 2015, Singapore, June 2015
“Minimizing Flow Completion Times in Data Centers” [PDF]
Ali Munir, Ihsan Ayyub Qazi, Zartash Afzal Uzmi, Aisha Mushtaq, Saad Naveed Ismail, M. Safdar Iqbal, and Basma Khan
IEEE INFOCOM 2013, Turin, Italy, April 2013 (acceptance rate=17%)
Academic Projects:
Dream Team: FIFA 18 Data Interaction & Visual Analytics
Developed a web app that would "build" the best possible football team under varying constraints such as formation, nationality, and budget.
Image Classifier Artificial Intelligence
Made an image classifier that differentiates and identifies images of various numbers.
Real Time Strategy Game Computer Graphics
Developed a real time strategy game game in Unity, based off the popular game Red Alert 2.
TOR-enabled Chat Client Advanced Programming
Implemented a chat client system that communicated over a custom-made TOR network.
WiiMote Enabled 3D Boxing Game Intro. To Comp. Problem Solving
Developed a 3D boxing game in MATLAB where the player would interact via the Nintendo Wii Remote and Nunchuk.
Technical:
Programming Languages: C/C++, Python, Java, MATLAB, Ruby, Bash, AWK, HTML, PHP
Technologies: Ruby on Rails, Django, Oracle SQL, MySQL, NS-2 (Network Simulator).
Software: Android Studio, Unity, Visual Studio, Eclipse.
Platforms: Windows and Linux. Familiar with Linux Kernel Programming.
Interests:
Artificial Intelligence, Machine Learning, Data Sciences, Distributed Systems and Cloud Computing.
Research Student/Assistant of:
- Dr. Muhammad Fareed Zaffar
- Dr. Ihsan Ayyub Qazi [Webpage]
- Dr. Zartash Afzal Uzmi [Webpage]
Teaching Assistant:
Network Security (Spring 2015-16), Topics in Computer and Network Security (Fall 2015-16), Computer Networks: Principles and Practices (Fall 2013-14), Data Structures (Spring 2012-13), Introduction to Programming (Fall 2012-13)
Publication(s):
"A Classification Based Framework to Predict Viral Threads" [PDF]
Hashim Sharif, Saad Naveed Ismail, Shehroze Farooqi, Muhammad Taha Khan, Muhammad Ali Gulzar, Muhammad Fareed Zaffar, and Ahmed Abbasi
PACIS 2015, Singapore, June 2015
“Minimizing Flow Completion Times in Data Centers” [PDF]
Ali Munir, Ihsan Ayyub Qazi, Zartash Afzal Uzmi, Aisha Mushtaq, Saad Naveed Ismail, M. Safdar Iqbal, and Basma Khan
IEEE INFOCOM 2013, Turin, Italy, April 2013 (acceptance rate=17%)
Academic Projects:
Dream Team: FIFA 18 Data Interaction & Visual Analytics
Developed a web app that would "build" the best possible football team under varying constraints such as formation, nationality, and budget.
Image Classifier Artificial Intelligence
Made an image classifier that differentiates and identifies images of various numbers.
Real Time Strategy Game Computer Graphics
Developed a real time strategy game game in Unity, based off the popular game Red Alert 2.
TOR-enabled Chat Client Advanced Programming
Implemented a chat client system that communicated over a custom-made TOR network.
WiiMote Enabled 3D Boxing Game Intro. To Comp. Problem Solving
Developed a 3D boxing game in MATLAB where the player would interact via the Nintendo Wii Remote and Nunchuk.
Technical:
Programming Languages: C/C++, Python, Java, MATLAB, Ruby, Bash, AWK, HTML, PHP
Technologies: Ruby on Rails, Django, Oracle SQL, MySQL, NS-2 (Network Simulator).
Software: Android Studio, Unity, Visual Studio, Eclipse.
Platforms: Windows and Linux. Familiar with Linux Kernel Programming.