
Distractors are the Real Enemy: Visual Distraction Adversarial Perturbations on SAM2-Based Video Tracking and Segmentation [New]
A. D. Gebremedhin, M. Alansari, W. Shehieb, M. Naseer
WACV, 2027

Software | ML | Computer Vision
Computer Engineering
Computer Engineering undergraduate and Researcher with interests in grounded multimodal learning, robust visual perception, and reinforcement learning. Research experience spans medical imaging, visual tracking, and segmentation, complemented by practical experience in developing, evaluating, and deploying practical intelligent systems.

A. D. Gebremedhin, M. Alansari, W. Shehieb, M. Naseer
WACV, 2027

A. D. Gebremedhin*, M. Alansari*, W. Shehieb, M. Naseer, H. AlMarzouqi, S. Javed, N. Werghi
WACV, 2027

A. D. Gebremedhin, W. Shehieb, S. Alansari, M. Alansari, M. Naseer, S. Javed, N. Werghi
BMVC, 2026
A. D. Gebremedhin, W. Shehieb
Zayed University Student Research Conference (Short Paper), 2025
BSc. Computer Engineering
CGPA: 4.0
UAE Ministry of Higher Education and Research Fully-funded Scholarship
Jun. 2026–Present
Conduct funded research in hyperspectral histopathology, contributing to experimental design, model development, and evaluation for hyperspectral tissue imaging.
Feb. 2026–Aug. 2026
Led MVP development and provided technical support for university-incubated startups, transforming early-stage ideas into functional products.
Jun. 2025–May 2026
Led club initiatives by coordinating technical and community events, workshops, and competitions, managing four committee members, and increasing engineering student engagement in technical skill and portfolio building.
Jun. 2025–May 2026
Managed the chapter’s digital presence through website development and CI/CD while growing social engagement through consistent content creation and platform optimization.
Jun. 2025–Aug. 2025
Developed and deployed three computer vision models for automated retail shelf auditing, reducing inference latency by about half and improving one model’s accuracy by 27% through careful data curation and augmentation.
Jun. 2024–Oct. 2024
Led cross-functional integration across AI, backend, frontend, and database teams while developing web applications and machine learning solutions using Flask, React, and PyTorch.
Third Place · Khalifa University SMAC Competition
An automated, scalable disaster response system using vision and machine learning.
Gemini API Developer Competition · Google
A web platform for building no-code, multi-agent LLM systems from scratch, created for the Gemini API Developer Competition.