Waqar Ahmed

+39 347 484 2236

Design & Development of an FPGA-based Multi-Scale Face Recognition System

Sep 2016 – Oct 2018, Project funded by National ICT R&D Fund, http://sp.gsse.pafkiet.edu.pk/Projects/RobustFaceRecognition

Logic-Intensive Reconfigurable Architectures and Supporting CAD Tools

Sep 2015 – Aug 2016, Project funded by Umm Al-Qura University, Saudi Arabia

Design & Development of Application-Specific FPGA/Reconfigurable Hardware Generator

Jan 2013 – Aug 2014, Project funded by National ICT R&D Fund, http://es.gsse.pafkiet.edu.pk/Projects/ERA

A Multivariate Data Mining Approach to Predict Match Outcome in One-Day International Cricket

2020
Ahmed W.^iit, Zunino A., Morerio P.^iit, Murino V.^iit

Compact CNN Structure Learning by Knowledge Distillation

International Conference on Pattern Recognition, pp. 8
Ahmed W.^iit, Amjad M., Junejo KN., Mahmood T., Khan AH.
DOI
Is the performance of a cricket team really unpredictable? A case study on Pakistan team using machine learning

Indian Journal of Science and Technology
2018
Asghar A., Iqbal M.M., Ahmed W., Ali M., Parvez H., Rashid M.
DOI
Logic algebra for exploiting shared SRAM-table based FPGAs for large LUT inputs

2017 1st International Conference on Latest Trends in Electrical Engineering and Computing Technologies, INTELLECT 2017, vol. 2018-January, pp. 1-4
2017
Asghar A., Iqbal M.M., Ahmed W., Ali M., Parvez H., Rashid M.
DOI
Exploring shared SRAM tables among NPN equivalent large LUTs in SRAM-based FPGAs

Proceedings of the 2016 International Conference on Field-Programmable Technology, FPT 2016, pp. 229-232
Asghar A., Iqbal M.M., Ahmed W., Ali M., Parvez H., Rashid M.
DOI
Exploring Shared SRAM Tables in FPGAs for Larger LUTs and Higher Degree of Sharing

International Journal of Reconfigurable Computing, vol. 2017

Feb 2010 – Sep 2012, BE Distinguished Academic Performance, College`s Honor Badge & Scholarships

Jan 2013 – Jul 2015, MS Scholarship, 100% tuition fee waiver, Rewarded by National ICTRnD fund, Gold Medalist

Compact CNN Structure Learning by Knowledge Distillation