{"id":7267,"date":"2026-07-29T07:34:12","date_gmt":"2026-07-29T07:34:12","guid":{"rendered":"https:\/\/www.aastu.edu.et\/research\/?page_id=7267"},"modified":"2026-07-29T07:58:03","modified_gmt":"2026-07-29T07:58:03","slug":"ai-and-robotics-center-of-excellence","status":"publish","type":"page","link":"https:\/\/www.aastu.edu.et\/research\/ai-and-robotics-center-of-excellence\/","title":{"rendered":"AI and Robotics Center of Excellence"},"content":{"rendered":"\t\t
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Message from the Head of the CoE<\/h2>\n \n

I am honored and deeply committed to welcoming you to the AI and Robotics Center of Excellence (AIR CoE)<\/strong> at Addis Ababa Science and Technology University (AASTU). In an era defined by rapid technological advancement, complex societal challenges, and unprecedented access to data and computational power, research has never been more critical to national development, global competitiveness, and human well-being.<\/p>\n \n

Our Center is committed to fostering a vibrant, ethical, and impact-driven research ecosystem that advances knowledge while responding to real-world needs. The research areas outlined in this document\u2014including artificial intelligence, machine learning, computer vision, robotics, industrial automation, expert systems, digitalization & smart cities, and natural language processing\u2014represent strategic domains with transformative potential for science, industry, and society.<\/p>\n \n

We recognize that meaningful research today is inherently interdisciplinary. Breakthroughs increasingly emerge at the intersection of disciplines, where engineering meets medicine, data science informs public policy, and digital technologies enable smarter, more sustainable cities. I therefore strongly encourage our researchers to pursue collaborative, cross-disciplinary initiatives that integrate theory, experimentation, and application.<\/p>\n \n

Equally important is our commitment to responsible research and innovation. As we develop advanced intelligent systems and digital infrastructures, we must ensure that our work upholds the highest standards of scientific rigor, transparency, inclusiveness, data privacy, and ethical responsibility. Research excellence must go hand in hand with social accountability.<\/p>\n \n

To our early-career researchers and graduate students: you are the backbone of our future scientific leadership. I urge you to be bold in your ideas, rigorous in your methods, and persistent in your pursuit of excellence. To our senior researchers and research leaders: your mentorship, vision, and leadership are essential in shaping a culture of innovation and integrity.<\/p>\n \n

Finally, I extend my sincere appreciation to all members of our research community for your dedication, creativity, and resilience. Together, through sustained inquiry and collaborative effort, we can generate knowledge that not only advances science but also contributes meaningfully to national development and global progress.<\/p>\n \n

I look forward to witnessing the impactful outcomes of your research endeavors and to supporting you in this shared mission.<\/p>\n \n

\n

Habib Mohammed Hussien (PhD)<\/p>\n

Head, Artificial Intelligence and Robotics Center of Excellence
Addis Ababa Science and Technology University (AASTU)
Addis Ababa, Ethiopia<\/p>\n <\/div>\n \n \n

\n

\ud83d\udcde<\/span> Tel.:<\/strong> +251 912 06 61 67<\/a><\/p>\n

\ud83d\udce7<\/span> E-mail:<\/strong> habib.mohammed@aastu.edu.et<\/a><\/p>\n <\/div>\n <\/div>\n \n \n

\n \"Habib\n <\/div>\n \n <\/div>\n<\/div>\n\n
\n \n \n
<\/div>\n \n \n

About the CoE<\/h1>\n \n

The Artificial Intelligence and Robotics (AIR) Center of Excellence<\/strong> is established to create a close collaboration between academia and industry in the fields of AI and robotics.<\/p>\n \n \n

Core Values<\/h2>\n \n
\n
\n \u2696\ufe0f<\/span>\n Professional Ethics<\/strong>\n <\/div>\n
\n \ud83d\udca1<\/span>\n Innovation & Excellence<\/strong>\n <\/div>\n
\n \ud83d\udd13<\/span>\n Academic & Research Freedom<\/strong>\n <\/div>\n
\n \ud83d\udee1\ufe0f<\/span>\n Integrity<\/strong>\n <\/div>\n
\n \ud83c\udfaf<\/span>\n Commitment<\/strong>\n <\/div>\n
\n \ud83e\udd1d<\/span>\n Collaboration<\/strong>\n <\/div>\n <\/div>\n \n \n

Objectives of the CoE<\/h2>\n \n
\n
\n \u25b8<\/span> Strengthen industry-academia linkage through close collaboration.\n <\/div>\n
\n \u25b8<\/span> Promoting standard and real problem-solving research works in AI and Robotics.\n <\/div>\n
\n \u25b8<\/span> Disseminate knowledge and expertise in the areas of AI and robotics.\n <\/div>\n
\n \u25b8<\/span> To carry out advanced interdisciplinary research in the areas of AI and Robotics.\n <\/div>\n
\n \u25b8<\/span> To generate trained manpower through MSc and Ph.D. programs in the fields of AI and Robotics.\n <\/div>\n
\n \u25b8<\/span> To take up industrial projects with specific deliverables in the areas of AI and Robotics.\n <\/div>\n
\n \u25b8<\/span> To conduct outreach programs through workshops and training.\n <\/div>\n <\/div>\n \n \n

Vision of the CoE<\/h2>\n \n
\n

To be the leading Center of Excellence in Africa with state-of-the-art laboratories in the fields of AI and Robotics.<\/p>\n <\/div>\n \n \n

Mission of the CoE<\/h2>\n \n
\n

Bridging the gap between Industries and Universities with state-of-the-art AI and robotics technologies.<\/p>\n <\/div>\n \n \n

Identified Thematic Research Areas of the CoE<\/h2>\n \n \n
\n

7.1. Artificial Neural Networks (ANNs)<\/h3>\n

Artificial Neural Networks (ANNs) are computational models inspired by the structure and functioning of biological neural networks. An ANN consists of interconnected processing units called neurons, organized in layers and connected by weighted links. These weights represent the strength of connections and are iteratively adjusted during training to minimize error and improve performance.<\/p>\n

ANNs are capable of learning complex nonlinear relationships from large datasets and are widely used in pattern recognition, classification, regression, and decision-making tasks. While inspired by the brain, ANNs are mathematical abstractions rather than direct simulations of human cognition.<\/p>\n

Core Research and Application Areas:<\/strong><\/p>\n

    \n
  • \n \u25b8<\/span> Character and handwriting recognition.\n <\/li>\n
  • \n \u25b8<\/span> Image and video processing.\n <\/li>\n
  • \n \u25b8<\/span> Speech and audio processing.\n <\/li>\n
  • \n \u25b8<\/span> Time-series forecasting (e.g., finance, sensor data).\n <\/li>\n
  • \n \u25b8<\/span> Medical diagnosis and clinical decision support.\n <\/li>\n
  • \n \u25b8<\/span> Credit scoring, fraud detection, and risk assessment.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
    \n

    7.2. Evolutionary and Genetic Computing<\/h3>\n

    Evolutionary computing is a branch of artificial intelligence inspired by biological evolution mechanisms such as natural selection, mutation, and recombination. Genetic Algorithms (GAs) encode candidate solutions as chromosomes and evolve them toward optimal solutions using fitness functions.<\/p>\n

    Genetic Programming (GP), a specialized form of evolutionary computing, evolves computer programs themselves rather than fixed-length parameter vectors. Research in this area focuses on representation, fitness evaluation, scalability, and convergence behavior.<\/p>\n

    Core Research and Application Areas:<\/strong><\/p>\n

      \n
    • \n \u25b8<\/span> Engineering design optimization and multi-objective optimization.\n <\/li>\n
    • \n \u25b8<\/span> Planning and scheduling problems.\n <\/li>\n
    • \n \u25b8<\/span> Control systems and robotics parameter tuning.\n <\/li>\n
    • \n \u25b8<\/span> Pattern recognition and classification.\n <\/li>\n
    • \n \u25b8<\/span> Telecommunications routing optimization.\n <\/li>\n
    • \n \u25b8<\/span> Cryptography, security, and computational biology.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
      \n

      7.3. Computer Vision and Pattern Recognition<\/h3>\n

      Computer Vision is the scientific discipline that enables machines to extract meaningful information from images and videos. Pattern Recognition focuses on the classification and interpretation of structured data and overlaps significantly with computer vision research.<\/p>\n

      This field integrates image processing, geometry, machine learning, and statistical modeling to understand visual scenes.<\/p>\n

      Core Research Areas:<\/strong><\/p>\n

        \n
      • \n \u25b8<\/span> Object detection and recognition (including face analysis).\n <\/li>\n
      • \n \u25b8<\/span> 3D reconstruction from 2D images.\n <\/li>\n
      • \n \u25b8<\/span> Motion analysis and object tracking.\n <\/li>\n
      • \n \u25b8<\/span> Shape-from-shading and texture analysis.\n <\/li>\n
      • \n \u25b8<\/span> Biometrics and identity recognition.\n <\/li>\n
      • \n \u25b8<\/span> Medical image analysis (MRI, CT, ultrasound).\n <\/li>\n
      • \n \u25b8<\/span> Image watermarking and steganography.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
        \n

        7.4. Robotics<\/h3>\n

        Robotics is an interdisciplinary research area combining artificial intelligence, mechanical engineering, electronics, and control theory to design, build, and operate autonomous or semi-autonomous machines. Robotics systems integrate perception, reasoning, learning, and actuation to operate in real-world environments.<\/p>\n

        Modern robotics research emphasizes autonomy, adaptability, and human-robot interaction, including biologically inspired and learning-based approaches.<\/p>\n

        Core Research Areas:<\/strong><\/p>\n

          \n
        • \n \u25b8<\/span> Autonomous navigation and motion planning.\n <\/li>\n
        • \n \u25b8<\/span> Aerial, underwater, and space robotics.\n <\/li>\n
        • \n \u25b8<\/span> Search and rescue robotics.\n <\/li>\n
        • \n \u25b8<\/span> Medical and assistive robotics.\n <\/li>\n
        • \n \u25b8<\/span> Soft and micro-robotics.\n <\/li>\n
        • \n \u25b8<\/span> Bio-inspired and swarm robotics.\n <\/li>\n
        • \n \u25b8<\/span> Human-robot interaction and haptics.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
          \n

          7.5. Industrial Automation and Control<\/h3>\n

          Industrial Automation refers to the application of control systems, computers, and communication technologies to operate industrial processes with minimal human intervention. Automation systems enhance efficiency, safety, reliability, and productivity across industrial sectors.<\/p>\n

          Typical automation technologies include Programmable Logic Controllers (PLCs), Distributed Control Systems (DCS), Supervisory Control and Data Acquisition (SCADA), and industrial communication networks.<\/p>\n

          Application and Research Areas:<\/strong><\/p>\n

            \n
          • \n \u25b8<\/span> Manufacturing and flexible production systems.\n <\/li>\n
          • \n \u25b8<\/span> Process industries (chemical, cement, metals, paper).\n <\/li>\n
          • \n \u25b8<\/span> Power generation, transmission, and substations.\n <\/li>\n
          • \n \u25b8<\/span> Oil, gas, and petrochemical industries.\n <\/li>\n
          • \n \u25b8<\/span> Water treatment and desalination plants.\n <\/li>\n
          • \n \u25b8<\/span> Smart buildings and HVAC automation.\n <\/li>\n
          • \n \u25b8<\/span> Transportation and logistics automation.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
            \n

            7.6. Expert Systems<\/h3>\n

            Expert Systems are artificial intelligence systems designed to emulate the decision-making abilities of human experts. They typically consist of a knowledge base containing domain expertise and an inference engine that applies logical rules to draw conclusions.<\/p>\n

            Although less dominant than data-driven AI approaches, expert systems remain important in domains requiring explainability and rule-based reasoning.<\/p>\n

            Core Research and Functional Areas:<\/strong><\/p>\n

              \n
            • \n \u25b8<\/span> Diagnosis and fault detection.\n <\/li>\n
            • \n \u25b8<\/span> Classification and interpretation.\n <\/li>\n
            • \n \u25b8<\/span> Planning and scheduling.\n <\/li>\n
            • \n \u25b8<\/span> Process monitoring and control.\n <\/li>\n
            • \n \u25b8<\/span> Design and configuration systems.\n <\/li>\n
            • \n \u25b8<\/span> Decision support and intelligent tutoring.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
              \n

              7.7. Digitalization and Smart City Research Area<\/h3>\n

              Digitalization refers to the integration of digital technologies into economic, social, and governmental processes to improve efficiency, sustainability, and service delivery. A Smart City leverages digitalization, artificial intelligence, IoT, and data analytics to optimize urban infrastructure and services.<\/p>\n

              Smart city research focuses on data-driven decision-making, real-time monitoring, citizen engagement, and sustainable urban development.<\/p>\n

              Core Research Areas:<\/strong><\/p>\n

                \n
              • \n \u25b8<\/span> Smart governance and e-government services.\n <\/li>\n
              • \n \u25b8<\/span> Smart transportation and intelligent mobility systems.\n <\/li>\n
              • \n \u25b8<\/span> Smart energy systems and smart grids.\n <\/li>\n
              • \n \u25b8<\/span> Smart buildings and infrastructure management.\n <\/li>\n
              • \n \u25b8<\/span> Urban data analytics and digital twins.\n <\/li>\n
              • \n \u25b8<\/span> IoT-based sensing and monitoring.\n <\/li>\n
              • \n \u25b8<\/span> Cybersecurity and data privacy for urban systems.\n <\/li>\n
              • \n \u25b8<\/span> Citizen-centric platforms and open data ecosystems.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
                \n

                7.8. Natural Language Processing (NLP)<\/h3>\n

                Natural Language Processing (NLP) enables computers to understand, interpret, and generate human language. NLP combines linguistics, machine learning, and knowledge representation to support human-computer interaction and automated text analysis.<\/p>\n

                Core Research Areas:<\/strong><\/p>\n

                  \n
                • \n \u25b8<\/span> Information retrieval and extraction.\n <\/li>\n
                • \n \u25b8<\/span> Text mining and semantic annotation.\n <\/li>\n
                • \n \u25b8<\/span> Question answering and summarization.\n <\/li>\n
                • \n \u25b8<\/span> Machine translation.\n <\/li>\n
                • \n \u25b8<\/span> Dialogue systems and conversational agents.\n <\/li>\n
                • \n \u25b8<\/span> Plagiarism detection and authorship analysis.\n <\/li>\n
                • \n \u25b8<\/span> Syntax, semantics, and discourse modeling.\n <\/li>\n <\/ul>\n <\/div>\n \n \n
                  \n

                  7.9. Machine Learning<\/h3>\n

                  Machine Learning is a core subfield of artificial intelligence that enables systems to learn from data and improve performance without explicit programming. It includes supervised, unsupervised, and reinforcement learning paradigms.<\/p>\n

                  Machine learning underpins many modern AI systems, including deep learning and data-driven decision systems.<\/p>\n

                  Core Application Areas:<\/strong><\/p>\n

                    \n
                  • \n \u25b8<\/span> Image and video classification.\n <\/li>\n
                  • \n \u25b8<\/span> Face detection and recognition.\n <\/li>\n
                  • \n \u25b8<\/span> Speech and language technologies.\n <\/li>\n
                  • \n \u25b8<\/span> Spam, malware, and anomaly detection.\n <\/li>\n
                  • \n \u25b8<\/span> Recommendation systems.\n <\/li>\n
                  • \n \u25b8<\/span> Bioinformatics and genetics.\n <\/li>\n <\/ul>\n <\/div>\n \n \n

                    Thematic Areas and Corresponding Thematic Chairs<\/h2>\n \n
                    \n \n \n \n \n \n \n \n \n \n \n \n \n \n
                    S.No<\/th>\n Research Thematic Area<\/th>\n Thematic Area Chair<\/th>\n <\/tr>\n <\/thead>\n
                    1<\/td>\n Artificial Neural Networks<\/td>\n Mr. Merid Nigussie<\/td>\n <\/tr>\n
                    2<\/td>\n Evolutionary and Genetic Computing<\/td>\n Dr. Tesfay Gidey<\/td>\n <\/tr>\n
                    3<\/td>\n Computer Vision & Pattern Recognition<\/td>\n Dr. Habib Mohammed<\/td>\n <\/tr>\n
                    4<\/td>\n Robotics<\/td>\n Mr. Mulat Tigabu<\/td>\n <\/tr>\n
                    5<\/td>\n Industrial Automation and Control<\/td>\n Mr. Mitku Berhie<\/td>\n <\/tr>\n
                    6<\/td>\n Expert Systems<\/td>\n Mr. Felix Edesa<\/td>\n <\/tr>\n
                    7<\/td>\n Digitalization and Smart City<\/td>\n Dr. Yodit G\/alif<\/td>\n <\/tr>\n
                    8<\/td>\n Natural Language Processing<\/td>\n Dr. Girma Neshir<\/td>\n <\/tr>\n
                    9<\/td>\n Machine Learning<\/td>\n Mr. Chere Lemma<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n \n \n

                    Research Projects<\/h2>\n \n
                    \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
                    S. No<\/th>\n Title of the Project<\/th>\n Type of Grant<\/th>\n Status<\/th>\n <\/tr>\n <\/thead>\n
                    1<\/td>\n Item Definition, Classification, Adaptation, Translation, and Mapping of the United Nations Standard Products and Services Code (UNSPSC)<\/td>\n External, Consultancy<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    2<\/td>\n Development of the Addis Ababa Smart City Roadmap<\/td>\n External, Consultancy<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    3<\/td>\n Development of Maintenance System for EEG Industries<\/td>\n External, Joint Applied Research<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    4<\/td>\n DELTA - Digital Empowering Learning Tools for Africa<\/td>\n External, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    5<\/td>\n Development of Laboratory Information Management System<\/td>\n Internal, TT<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    6<\/td>\n Development of Innovation Center Management Systems<\/td>\n Internal, TT<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    7<\/td>\n Gap Assessment to Advancing Digitalization for Civil and Residents Services provided by CRRSA<\/td>\n External, Consultancy<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    8<\/td>\n Digital Transformation and Smart City Plan for Shaggar City<\/td>\n External, Consultancy<\/td>\n Completed<\/span><\/td>\n <\/tr>\n
                    9<\/td>\n Artificial Intelligence for Fault Diagnosis of Rotating Machines<\/td>\n Internal, Research<\/td>\n Final Stage<\/span><\/td>\n <\/tr>\n
                    10<\/td>\n Crop Yield Prediction Using Deep Learning<\/td>\n Internal, Research<\/td>\n Final Stage<\/span><\/td>\n <\/tr>\n
                    11<\/td>\n Court System for the Ministry of Justice<\/td>\n External, Consultancy<\/td>\n \u2014<\/td>\n <\/tr>\n
                    12<\/td>\n Design, Supply, Installation, Migration, Training, and Commissioning of Modular Datacenter Infrastructure Project on a Turnkey Basis for Adama University<\/td>\n External, Consultancy<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    13<\/td>\n Supply, Construction, Installation, Migration, Training, and Commissioning of Modular Data Center Infrastructure, Fiber Backbone Cabling System, and Network Project on a Turnkey Basis for Ambo University<\/td>\n External, Consultancy<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    14<\/td>\n Diversity and Gender Equity in the AI ecosystem funded by IPAR (2023)<\/td>\n External, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    15<\/td>\n AI in Ethiopia: Ethical and Legal Policy Implications and Perspectives<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    16<\/td>\n Charging Station Placement and Sizing on an Overloaded Distribution System Using Particle Swarm Optimization Technique for Electric Vehicle Application [The Case of Kality Distribution System]<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    17<\/td>\n A Comparative Study of the Awareness and Utilization of AI-Powered Writing Tools in Research Writing among Academic Staff at Addis Ababa and Adama Science and Technology Universities<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    18<\/td>\n Unleashing the potential of Artificial Intelligence Solutions to Enhance Quality Education in Ethiopian Science and Technology Universities<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    19<\/td>\n A Comparative Study of AI Learning Tools Integration into Instructional Practices of Faculties at Addis Ababa Science and Technology University and Adama Science and Technology University<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    20<\/td>\n Critical Virtual Exchange in Artificial Intelligence<\/td>\n External, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    21<\/td>\n IT Projects Resource Pool Service<\/td>\n External, Consultancy<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    22<\/td>\n Designing a Web-Based Laboratory Information System for Health Facilities in Ethiopia<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    23<\/td>\n Bridging the Divide: Fostering Inclusive Higher Education for Students with Visual Impairment in Ethiopia Using Artificial Intelligence<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n
                    24<\/td>\n Bridging Accessibility Gap through Artificial Intelligence: Ethiopian Currency Denomination Recognition for Persons with Visual Impairment<\/td>\n Internal, Research<\/td>\n Ongoing<\/span><\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n \n \n

                    Collaborations<\/h2>\n \n
                    \n
                    \n

                    National<\/h3>\n
                      \n
                    • \n \u25b8<\/span> Manufacturing Industries and Development Institute (MIDI)\n <\/li>\n
                    • \n \u25b8<\/span> National Bank of Ethiopia\n <\/li>\n
                    • \n \u25b8<\/span> Tirunesh Beijing Hospital\n <\/li>\n
                    • \n \u25b8<\/span> Ministry of Health\n <\/li>\n
                    • \n \u25b8<\/span> Ethiopian Artificial Intelligence Institute\n <\/li>\n
                    • \n \u25b8<\/span> Ministry of Innovation and Technology\n <\/li>\n
                    • \n \u25b8<\/span> Ethio Robotics\n <\/li>\n <\/ul>\n <\/div>\n
                      \n

                      International<\/h3>\n
                        \n
                      • \n \u25b8<\/span> Oryxun\n <\/li>\n
                      • \n \u25b8<\/span> Oslomet\n <\/li>\n
                      • \n \u25b8<\/span> CMU-Africa\n <\/li>\n
                      • \n \u25b8<\/span> BRICS+\n <\/li>\n <\/ul>\n <\/div>\n <\/div>\n \n \n

                        Researchers' Profile<\/h2>\n \n
                        \n \n \n \n \n \n \n
                        S. No<\/th>\n Name<\/th>\n Google Scholar<\/th>\n ORCID<\/th>\n LinkedIn<\/th>\n <\/tr>\n <\/thead>\n
                        1<\/td>\n Habib Mohammed (PhD)<\/td>\n Google Scholar<\/a><\/td>\n ORCID<\/a><\/td>\n LinkedIn<\/a><\/td>\n <\/tr>\n
                        2<\/td>\n \u2026.<\/td>\n \u2026..<\/td>\n \u2026..<\/td>\n \u2026..<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n \n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                        Message from the Head of the CoE I am honored and deeply committed to welcoming you to the AI and Robotics Center of Excellence (AIR CoE) at Addis Ababa Science […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/pages\/7267"}],"collection":[{"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/comments?post=7267"}],"version-history":[{"count":7,"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/pages\/7267\/revisions"}],"predecessor-version":[{"id":7294,"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/pages\/7267\/revisions\/7294"}],"wp:attachment":[{"href":"https:\/\/www.aastu.edu.et\/research\/wp-json\/wp\/v2\/media?parent=7267"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}