• Developing and delivering academic content within the Computer Science department.• Supervising and guiding student projects and research.• Contributing to the academic community through research and publications.• Emphasizes agility, adaptiveness, and alignment in education.• Aims to equip students with skills to navigate the complexities of a digitally-driven businessenvironment.

As the CTO at AiTech, I have played a crucial role in establishing the company as a leader in the AI field, focusing on complex business challenges and improving decision-making and efficiency in various industries. My responsibilities include overseeing the development of AI-powered software, devices, and services, with a focus on continuous innovation in AI R&D.My key responsibilities are diverse and impactful, including leading strategic initiatives that align technology strategies with AiTech's business goals. I have been instrumental in creating AI solutions for sectors like healthcare, manufacturing, security, retail, education, marketing and e-commerce. Leading a team of AI specialists, I promote an innovative and collaborative work environment. I manage projects in critical AI domains such as NLP, computer vision and GIS, and business intelligence, and drive operational optimization with a focus on resource management and supply chain efficiency.I prioritize the development of user-friendly, customized AI solutions to enhance client experiences and uphold ethical AI practices. My tenure at AiTech has seen significant achievements, like enhancing customer interactions, implementing predictive analytics for strategic decision-making, and improving operational efficiency. I've played a key role in various technologies, boosting productivity and leveraging AI for in-depth data analysis to provide actionable business insights.Under my leadership, AiTech has developed innovative products like AiTech Smart Vision (ASV) for real-time video analysis, AiTech Deep Meeting (ADM) for enhanced meeting experiences, AiTech Safety Monitor (ASM) for workplace safety, AiTech Plate Detector (APD) for license plate recognition, and AiTech Success Tracker (AST) for educational insights. My leadership covers services in AI, NLP, computer vision, business intelligence, data analysis and robotic process automation, contributing to efficiency, customer experience, and security.

I focus on teaching and curriculum development in Python, machine learning, data science, and deep learning, with a strong emphasis on FinTech use cases. I design courses that equip students with practical skills to apply these technologies to real-world financial challenges, such as fraud detection, loan approval, and credit scoring. Through hands-on projects and coding exercises, I ensure students gain the expertise needed to solve complex problems using cutting-edge tools and techniques.

DS615: Data Science for Decision Support (for master's degree level):Course summary: Explore data science's current and future applications as a strategic decision-making tool to achieve competitive advantage in business. With an emphasis on obtaining decision-making value from an organization's data assets, this course will investigate using data science findings to develop solutions to competitive business challenges. Through case studies, you will examine how data science methods can support business decision-making and discover a range of methods the data scientist can use to get people within the organization on board with data science projects.DS588: Advanced programming (Python) for Data Science (for graduate diploma level):The course is designed to advance the programming skills for data science through three main objectives—advanced problem-solving using data structures in Python; Practising different Python packages for machine learning and data science, such as Pandas, Numpy, Matplotlib, Seaborn, Scipy, gensim, Nltk, Spacy, Pytorch, Tensorflow, Opencv, Pillow, Scikit-learn, Beautiful Soap, and Requests; and Deep understanding of state-of-the-art machine learning models such as BERT, AraBERT, Yolo, SurPRISE, ARIMA, GPT3, Wave2Vec, ResNet, and Chabot.

I am the Chief Technology Officer of WAKEB DATA leading AI and software development teams to program a wide range of software applications for customers in the Middle East, including:- Drone-based detection, classification, and tracking. - Chatbot: Automatic understanding and response to customer inquiries. - Speech and handwriting recognition.- Visual action recognition for autism diagnosis via pose estimation and video classification.In collaboration with the CEO, COO, IT, business and project managers, I have practised various tasks such as software design, technology selection, technical team management, and strategic planning. Over different data science and machine learning projects, I have guided data scientists, NLP specialists, and compute vision engineers to achieve high-quality software analysis, data collection, AI modelling and evaluation, and product deployment. I directly supervise a research unit to develop novel AI models for detecting DeepFakes, generating human-like chatbot conversations, and computing the optimal routes for drones and ground vehicle control. I also initiated the WAKEB GIS unit to localise the development of location intelligence and geospatial software development. My team have successfully built an original and novel software containing a large set of analytical and essential GIS functions, such as trend analysis, footfall, split view, location prediction, asset management and recourse allocation. I have participated in building an AI-Cybersecurity strategic plan to guide the technical team to develop and commercialise software packages for business mail compromise, email impersonation, mailbox compromise, business identity theft, and phone scams. I have participated in other top-level tasks, such as evaluating the current strategic plan and building a new strategic plan. I have guided different team leaders and strategy officers to develop the work objectives and set the key performance indicators (KPIs).

Machine Learning for structured input generation for network protocol stateful fuzzing.

• My PhD research focuses on visual representation learning for recognition and tracking. I am working on graph convolutional neural networks for image representation. I have published a paper in A-rank conference on object tracking using deep representation learning for modelling the visual uncertainty in the drone-based real-time scenario. My current objective is on visual multi-object tracking by detection and segmentation. • Computer Science Tutor (March 2020 to July 2020) of the user centre design course, giving tutorial/labs in the course for both theory and practical sides.• Computer science researcher (August 2019 to November 2019) in the CORE software development project for journals and conferences racking.

The research focus was on Drone-as-a-service (DaaS). I have worked using DaaS for delivery considering the context uncertainties such as in weather conditions, drone capabilities, and delivery package properties.

• Doing literature surveys, development data acquisition and cleaning algorithms. Design, program, and update machine learning models and algorithms. Conduct experiments using programming languages such as Python and R. Write reports and summarization for related experiments results. Participating in the writing of research articles for the related topics. I worked in multiple projects including the following:- 1 Jan 2018 to 31 June 2018: Qatar National Research Fund (NPRP) 7-481-1-088, Economic Models for QoS Optimization of Composite Cloud Services, 2018-01 to present.- 5 July 2017 to 31 Dec 2017: Gulf Cooperation Council (GCC)-2017-009, “Environmentally-Friendly Smart Home for Elderly and Physically Impaired People”, funded by the GCC funding program.- 5 July 2017 to 31 Dec 2017: National Priority Research Project (NPRP) 7-684-1-127, QHCN: Towards Reliable and Efficient mHealth System with Multimodal Processing and Communications for Effective Remote Patient Diagnosis – funded from Qatar National Research Funding (QNRF).- 12 Feb 2017 to 12 May 2017: NPRP No. 6-716-1-138, ““OMA: Opinion Mining for Arabic with Models of Semantics and Credibility”, funded by QNRF. Completed on May 10th, 2017.• Teaching assistant (12 Feb 2017 to 12 May 2017): Assisting in teaching a data science course offered to graduate students in the masters in computing program.

Development of data analytics and gathering applications for crime analysis, traffic monitoring, KPIs and performance measurements, employees’ evaluation, public and employees’ satisfaction, and sentiment analysis.

Courses in different topics such as:- Data mining, machine learning and NLP.- Software development and requirements analysis.- Web design (Photoshop, HTML, CSS).- Web development (Python, JavaScript, PHP and MySQL).Responsibility for:- Educate students using a methodical plan of lectures, debates and audio-visual presentations.- Arrange, manage and correct tests.My youtube channel: http://youtube.com/alihamdi

• Planning and delivering software applications used across AGEX different exhibitions using various technologies such as PHP, MySQL, schema design, and query tuning.

Experiences with:- Presenting initial design ideas to clients and identifying their needs collecting detailed website specifications.- Designing graphics, animations and manipulating digital photographs.- Registering web domain names and organising the hosting of the website.- Coding using a variety of programming such as HTML, CSS, JavaScript, PHP and MySQL. - Working with different content management systems;- Search engine optimisation;- Post-sales technical support and training client's staff.My Behance:https://www.behance.net/ali7amdi