Hamdi Altaheri
PhD | Assistant Professor | Founder, AcademeX | IEEE Senior Member
PhD | Assistant Professor | Founder, AcademeX | IEEE Senior Member
Designed and built a learning platform covering interactive content generation, course delivery, live exams, AI-assisted grading, and NCAAA/ABET accreditation reporting.
Built Bayyina, an offline agentic AI system using local LLMs to evaluate ~900 Arabic and English project proposals with rubric-based scoring and verifiable audit trails, and mentored participating teams.
Developing EEG–LLM integration project for next-gen brain signal decoding using self-supervised learning and foundation models.
Courses: Discrete Math, Data Structures, E-business, Computer Networks.
Developed AI solutions in brain–computer interfaces, Arabic sign language recognition, computer vision, automated harvesting, robotics, and crowd analysis.
Tutorials for courses in Digital Signal Processing and Speech Processing.
Operated drones and real-time monitoring systems to support crowd analytics during Hajj 2017.
Lab sessions and tutorials for courses in Software Engineering and Information Technology.
Engaged in research and development projects focused on embedded control systems.
King Saud University, Riyadh, Saudi Arabia | GPA: 4.93 / 5.0
Thesis: "A Vision System for Date Harvesting Robot"
Taiz University, Taiz, Yemen | Honours Degree | Rank: 1st / 64
Graduation Project: "Universal Control and Security System"
University of Waterloo
- Centre for Pattern Analysis and Machine IntelligenceThis project investigates self-supervised learning on large-scale brain datasets to develop a large brain foundation model, aiming to enhance the accuracy, generalization, and robustness of brain–computer interface (BCI) systems.
King Saud University
- Center of Smart Robotics ResearchThis project aims to develop deep learning models that automatically emphasize the most informative temporal, spatial, and spectral features of EEG signals to improve brain signal decoding performance.
King Saud University
- Center of Smart Robotics ResearchThis project aims to developed an intelligent machine vision system based on deep learning for automated date fruit harvesting in natural orchard environments. The system performs date fruit detection, segmentation, variety classification, maturity analysis, and visual yield estimation to enable robotic harvesting operations.
Taiz University - Microprocessor and Control Lab
Designed and implemented a scalable control and security system that integrates an embedded microprocessor-based electronic unit with a networked 3D software interface for smart-building automation, monitoring, and security management.
This project received national and university-level recognition, including the 12th Annual Prize of the President of the Republic of Yemen in Applied Sciences (2012). (System User Manual)
Two-way sign language translator robot using Transformer-based deep learning for Arabic sign recognition.
Intelligence-based crowd-management system to track Hajj and Umrah, predict and detect incidents using smart wearables and mobile devices.
Portable mail sorting and notification device using MSER for text detection, Tesseract OCR for recognition, and fuzzy name matching.
Interactive visualization and solution approaches for the classic Travelling Salesman Problem using various optimization algorithms.
| IEEE Transactions on Industrial Informatics Top 5% ISI Journal
| IEEE Internet of Things Journal Top 5% ISI Journal
| IEEE/CVF CVPR Workshop (MSLR)
| arXiv preprint
| IEEE Dataport
| IEEE SMC Conference
| IEEE SMC Conference
U.S. Patent No. 11910751
U.S. Patent No. 10485171
Object-oriented programming in Java: classes and objects, encapsulation, inheritance, polymorphism, abstract classes and interfaces, and exception handling.
Abstract Data Types (ADTs) and implementation fundamentals, stacks, queues, linked lists, recursion, trees, heaps, graphs, and traversal methods.
Detection, analysis, containment, eradication, and recovery from cybersecurity incidents, including incident response planning and post-incident review.
Cybersecurity policy, legal and regulatory frameworks, professional ethics, and compliance standards.
Elementary logic and methods of proof, relations, Boolean algebra, graph theory, trees, and their applications.
Internet architecture using the five-layer model, application-layer protocols, networking services, and protocol fundamentals.
E-commerce models (B2B, B2C, C2C), online marketing and customer relationship management, e-procurement, supply chain management, and security considerations.
I am currently seeking motivated students and collaborators in Foundation Models for Biosignals, Multimodal Learning, and Agentic AI. If you're interested in any of the following areas, feel free to reach out!
Large-scale pre-trained models for EEG, EMG, and other physiological signals
Integrating brain signals with text, speech, and visual modalities
RAG systems, AI assistants, and autonomous agents for research
Interested? Get in touch to discuss potential collaborations!
Centre for Pattern Analysis and Machine Intelligence
University of Waterloo
Waterloo, ON, Canada
