Muhammad Hamza Sharif

About Me

I am currently a Research Associate at the Mohammed Bin Zayed University of Artificial Intelligence (MBZUAI), where I also completed my master’s degree in Computer Vision. During my master’s studies, I was affiliated with the Xu Lab at Carnegie Mellon University, where I worked under the primary supervision of Dr. Min Xu and the secondary guidance of Dr. Mohammad Yaqub.

I received my undergraduate degree from the University of Engineering and Technology (UET) Lahore, Pakistan. During this period, I gained valuable research experience through internships at the German Research Center for Artificial Intelligence (DFKI GmbH) and the Technical University of Kaiserslautern, Germany.

After completing my undergraduate studies, I served as a Research Associate at Barrett Hodgson University, working under the supervision of Dr. Rizwan Khan. Alongside my academic career, I also gained practical industry experience as a machine learning engineer at leading firms such as Ephlux and Afiniti, where I honed my expertise in machine learning applications.

Research Interests

My research centers on Multi-modal Generative and Discriminative Learning with a specific focus on medical imaging. Key areas of exploration include 1. Multimodal Vision-Language Models for Medical Image and Text Analysis, 2. Integrating generative and discriminative techniques to enhance segmentation performance, 3. World-centric evaluations of multi-modal segmentation models, and 4. Self-supervised learning methods to enhance segmentation performance while minimizing labeled data requirements.

News

• [Feb. 2023] Awarded VISAPP 2023 Travel Grant.
• [Nov. 2022] Our paper about Salient Mask-Guided Vision Transformer for Fine-Grained Classification got aacepted at VISAPP 2023.
• [Nov. 2022] Awarded BMVC 2022 Travel Grant.
• [June. 2022] Our paper about Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting got aacepted at BMVC 2022.
• [Dec. 2021] I joined Xu Lab at CMU under the supervision of Dr. Min Xu.
• [Nov. 2021] Our paper about use of machine learning for Detection of Autism Spectrum Disorder (ASD) got accepted at The Journal of AAI.
• [Aug. 2021] I joined MBZUAI as a graduate student in Computer Vision with full scholarship.
• [Feb. 2021] Our paper about use of AI using EEG waveform to predict failure in early school grades got accepted at The Journal of PLOS ONE.
• [Feb. 2021] I joined as Data Analyst-AI at Afiniti.
• [Dec. 2019] I joined as Machine Learning Engineer at Ephlux.
• [May. 2018] I joined as a Research Associate at BHU.
• [Aug. 2017] I completed my undergraduate studies in Computer Engineering from UET Lahore, Pakistan.
• [June. 2016] I joined as a DAAD Research Intern at the DFKI and the TUKL.

Thesis

Publications

Services

Conference Reviewing

• Served as a Reviewer at BMVC'22, CVPR'23, MICCAI'23, and MIDL'23

Academic Services

Teaching Assistant

• Deep Learning (AI702) course - Spring 2023
• Machine Learning (ML701) course - Fall 2023

Awards and Merits

• Awarded VISAPP 2023 Travel Grant.
• Awarded BMVC 2022 Travel Grant.
• Full scholarship to study Masters in Computer Vision at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI).

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