Efficient Research Assistant versed in completing diverse range of support tasks under strict schedules. Systematic and meticulous in all work. Eager to contribute to Machine Learning and Signal Processing research. Dependable student with proven success in Machine Learning research currently completed degree in Master in computer science. Adept in developing laboratory experiments, mentoring students in laboratory best practices and techniques and managing research related collateral. Proficient in Matlab and Octave. Dedicated researcher familiar with Machine learning and Computer vision Algorithms. Well- coordinated in handling study documentation and records. Bring 2 years of Research Assistant facility experience.
Supervisor: Dr. Syed Aun Irtaza
Thesis Title: Blur image region detection and segmentation
Cgpa: 3.70
In Master's thesis work, we have designed a low cost and highly accurate system for automatic detection and segmentation of defocus blur from blurry images. The proposed system is a fusion of two phases including the detection of defocus blur via LDMP and segmentation of that blur regions via KNN matting. Additionally, the proposed LDMP features descriptor is robust to noise and successfully detects defocus blur in high-dense noisy images. The fusion of LDMP extractor with KNN matting provides superior performance in terms of obtaining high-quality segmented regions in the image.
Thesis Title: Performance analysis of 802.11 protocol
Cgpa: 3.36
In Bachelor's thesis work, we have perform the performance Analysis of IEEE 802.11 Protocol. Wireless local area network has been very popular especially in public places like shopping malls, airports, coffee cafes, hotels and in universities. Intelligent algorithms were used to learn the surrounding environment, and the knowledge thus the obtained information is utilized by trans-receiver to achieve the best performance. For IEEE 802.11 wireless LAN's with multiple access points, it is critical to allocate limited number of radio channels dynamically and efficiently. We analyze the performance of this protocol with different environments and validate its performance when the distance and number of nodes in the network are increased or in the presence of the hurdles inside the network.
Marks: 90%
I have covered various technical and professional courses including projects in this program. The courses includes system analysis and design, web development using PHP & MySQL, graphic design and animation, Computer Networking. The project includes in this program are Airline reservation system, University management system, Online Shopping websites and many more.
Milwaukee, WI, 01/2020 - 04/2020
- Taught diverse student population by employing various learning styles and abilities.
- Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations, including visual, aural and social learning modalities.
- Developed semester outlines and instructional plans for each session to comply with stated course objectives
Gaithersburg, MD, 09/2017 - 02/2020
● More than two-year research position, working within the Fully funded UET program
● Planned, modified, and executed research techniques, procedures and tests
● Analyzed statistical data using both modern and traditional qualitative and quantitative analysis
● Developed Local Directional Mean Patterns (LDMP) feature extractor by enhancing the local descriptors
● Developed automatic segmentor for the blurry regions by using machine learning algorithms
● Assisted in research support of data processing operations for large survey research projects
Dallas, TX, 01/2017 - 01/2019
● Configured hardware, devices and software to set up work stations
● Broke down and evaluated user problems using test scripts, Responded to support requests from end users
● Removed malware, ransomware and other threats from systems
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School Attended
- University Of Engineering And Technology
- University Of Wah
- Welfare Computer Centre
Job Titles Held:
- Lecturer
- Research Assistant
- Lab Assistant
Degrees
- Master of Science
- Bachelor of Science
- Diploma: Information Technology
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