Zainab Elfatih Mohamed Malik
AI Researcher, Computer Vision, Sensing Systems, AI Instructor
Zainab Malik is an AI researcher specializing in sensing technologies, computer vision, biomedical signal processing, and NLP-driven machine learning. She currently contributes to Chinar Quantum AI as an AI Trainer and Turkey Outreach Lead, helping expand quantum–AI education and developing training content for regional learners.
Her research spans through-wall human detection, radar/ultrasound sensing, remote sensing image classification, and deep learning for object recognition. She has published multiple IEEE and journal papers and has experience across R&D engineering, electronics systems, and ML-focused academic research.
Experience
AI Trainer & Turkey OutreachPresent
Chinar Quantum AI
- Leads outreach activities to expand CQAI presence in Türkiye through workshops and training.
- Contributes to AI educational content, structured modules, and student mentoring.
- Supports integration of ML fundamentals into quantum-AI learning pathways.
ResearcherPresent
Intelligent Systems Laboratory - Yildiz Technical University
- Conducts research on collective learning, biomedical signal and image processing, and optimization.
- Develops ML models for sensing technologies including radar, UWB, and remote sensing imagery.
Python & ML Bootcamp Instructor
SDG AI Lab / UNDP
- Delivered hands-on ML training to international participants.
- Designed modules in computer vision, sensors, and applied data mining.
ML Bootcamp Trainee
SDG AI Lab / UNDP - Frontier Tech Leaders Program
- Completed advanced modules in ML, AI ethics, and applied data science.
Machine Learning Intern
NewMind (Istanbul)
- Supported ML pipeline development and research tasks for vision applications.
Software Solutions Engineer
Vision Valley
- Developed technical documentation, functional requirements, and system design layouts.
- Participated in research and engineering for applied software systems.
IoT Hardware Intern
Vision Valley
- Worked on IoT prototyping, sensor integration, and hardware evaluation.
PCB Engineer Intern
Valley Technology
- Designed electronics circuits and PCBs using Altium Designer.
- Supported R&D hardware design for industrial systems.
R&D Engineer
Baylasan Innovation
- Developed low-cost electronics solutions for agricultural use cases.
- Handled documentation and implementation for prototype devices.
R&D Engineer (Energy Meter Services)
SEDC - Sudanese Electricity Distribution Company
- Worked on design, testing, and validation of Sudanese energy meter prototypes.
- Built software tools using C++ and Visual Studio for technician workflows.
- Supervised production activities at Sudanese-Chinese meter factory.
Education
Ph.D. in Computer Engineering
Yildiz Technical University
M.Sc. in Computer Engineering
Yildiz Technical University
B.Eng (Hons.) in Electronics Engineering
Sudan University of Science & Technology
Projects
Through-Wall Human Detection (FMCW Radar)
Developed ML models for radar-based through-wall human detection as part of M.Sc. thesis.
UWB Sensor Human Detection
Implemented feature engineering and signal processing for people-detection behind walls.
Video Action Recognition
Designed deep learning frameworks for action recognition using video datasets.
Remote Sensing Image Classification
Applied transfer learning and Bayesian methods to classify land-use and satellite imagery.
Aircraft Identification via Deep Learning
Developed models for aircraft recognition in shared airspace using deep learning.
Fruit Grading System
Built an image-processing ML model for automated fruit grading (BEng thesis).