I am a researcher, educator, and computer scientist specializing in Artificial Intelligence, Machine Learning, Geospatial Intelligence, Environmental Data Science, and Health AI. My research focuses on developing intelligent and explainable data-driven systems that integrate multimodal, spatial, and temporal information to understand and forecast complex environmental and health-related phenomena. My current research explores multimodal spatiotemporal Transformers for climate modeling and forecasting, while my broader research direction extends toward climate-driven disease forecasting and multimodal Health AI, integrating environmental, epidemiological, biological, and clinical data. As an educator, I have extensive experience teaching programming, data structures and algorithms, internet programming, and other computer science courses in higher education. I am passionate about interdisciplinary research, student mentorship, and innovative AI solutions that address real-world challenges and contribute to improved prediction, early warning systems, informed decision-making, and better environmental and human health outcomes.
+251938000054
miuz25mm@gmail.com
PhD in Artificial Intelligence and Robotics • October 2025
I am currently pursuing a Ph.D. in Artificial Intelligence and Robotics at Mekelle University, focusing on advanced research in artificial intelligence, machine learning, robotics, intelligent systems, computer vision, autonomous systems, and data-driven computational methods. The program is developing my expertise in conducting innovative, independent research and designing intelligent systems capable of learning, reasoning, and supporting complex decision-making. Through this doctoral research, I am working toward contributing to the advancement of AI and robotics through theoretical research, applied innovation, interdisciplinary collaboration, and the development of intelligent solutions to real-world problems.
MSc in Computer Science • October 2019
An M.Sc. in Computer Science from Adigrat University provides advanced knowledge and practical expertise in computer science, with a focus on artificial intelligence, machine learning, data science, software engineering, algorithms, and advanced computational methods. The program develops strong research, analytical, and problem-solving skills, preparing graduates to design and investigate innovative computing solutions for complex real-world problems and pursue careers in research, academia, software development, artificial intelligence, data science, and other technology-driven fields.
B.sc Computer Science and Engineering (Software Stream) • July 2014
A B.Sc. in Computer Science and Engineering (Software Stream) from Bahir Dar University provides a strong foundation in computer science, software engineering, programming, algorithms, data structures, databases, computer networks, operating systems, and software development. The program develops practical skills in designing, developing, testing, and maintaining reliable software systems while strengthening problem-solving, analytical thinking, and computational skills. It prepares graduates to apply modern computing technologies to real-world challenges and pursue careers or advanced studies in software engineering, artificial intelligence, data science, information technology, and related fields.
Lecturer, Software Development, System Administrator • September 2014 - October 2025
Serving as a Lecturer, Software Developer, and System Administrator at Adigrat University, with responsibilities spanning higher education, software development, information systems, and IT infrastructure management. My academic role includes teaching and mentoring students in Object-Oriented Programming, Advanced Programming, Internet Programming, Data Structures and Algorithms, Basic Computer Skills, and emerging computing topics. In addition, I contribute to software development and the design, deployment, maintenance, and administration of university information systems and IT infrastructure. This combined experience has strengthened my expertise in software engineering, programming, system administration, research, technical problem-solving, and academic mentorship.