Muhammad umer
NUST
· 2024
Email
mumer.bee20seecs@seecs.edu.pk
Phone
923350526986
LinkedIn
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GitHub
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Academic
Program
BEE
CGPA
3.96
Year
2024
Education
SEECS
Address
House No. 229 Street 25, officers colony, phase 1 Wah cantt. , Pakistan
DOB
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Career
Current role
—
Target role
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Skills
Computer vision, Aws, regex, numpy, pandas, ocr, Tensorflow, keras, pytorch, Programming, python, r, Open cv, Pspice, spss, minitab, ms office, Matlab, Verilog programming, machine learning, mobile networking, artificial intelligence, communication theory, reinforcement learning, 6G networking
Interests / quote
To be furnished upon request.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Muhammad umer . Details Technical Skills Soft Skills Reference Cell: 923350526986 Email: mumer.bee20seecs@seecs.edu.pk Address: House No. 229 Street 25, officers colony, phase 1 Wah cantt. , Pakistan Computer vision Aws, regex numpy, pandas, ocr Tensorflow, keras, pytorch Programming (python and r) Open cv Pspice, spss, minitab, ms office Matlab Verilog programming Communication skills English speaking and writing To be furnished upon request. Professional Profile With experience in machine learning and mobile networking research, I possess a strong interest in the convergence of artificial intelligence and communication theory. Passionate about employing reinforcement learning to adeptly tackle evolving challenges of 6G networking. Leveraging my research and expertise, I am dedicated to fostering innovation and enhancing global connectivity. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.96 Intermediate Education HITEC School & College for Boys , 92.45% (03/2016 – 08/2020) Bachelor's Degree National University of Sciences & Technology , 3.96 (10/2020 – 06/2024) Internship Experience Information Processing and Transmission Lab ( 05-May-2023 - 19-Oct-2023 ) Research Intern: - Provide in-depth insights to evolving challenges in future wireless networks by performing statistical analysis - Presented a novel system model consisting of a coordinated NOMA cluster assisted by STAR-RIS to enhance edge-user conditions TUKL Research and Development Lab ( 06-Jun-2022 - 09-Mar-2023 ) Research Intern: - Implemented a multi-stage deep-learning pipeline to extract and understand tabular structure in image-based documents - Proposed an image transformer architecture and novel data augmentation strategies to push further the state-of-the-art metrics Signal Processing & Machine Learning Lab ( 08-Sep-2021 - 16-Mar-2022 ) Research Intern: - Proposed a pipeline to detect and classify sickle cell anemia in blood images - Implemented a high frames per second (FPS) vision model to detect and analyze overlapping blobs of red blood cells Projects Page No. 58 | BEE - Graduate Profile Booklet 2024 Page No. 59 | BEE - Graduate Profile Booklet 2024
AI enrichment
Muhammad Umer is a recent Electrical Engineering graduate with a 3.96 CGPA from NUST, specializing in machine learning, computer vision, and wireless network research. He has completed three research internships focusing on deep learning pipelines, statistical analysis for 6G networks, and medical image classification.
Skills (AI)
["Python", "R", "TensorFlow", "Keras", "PyTorch", "OpenCV", "Computer Vision", "Machine Learning", "Deep Learning", "AWS", "Pandas", "NumPy", "OCR", "Verilog", "MATLAB", "PSPICE", "Reinforcement Learning", "6G Networking", "NOMA", "STAR-RIS"]
Status: ai_done