{"id":1414,"date":"2025-05-30T18:13:16","date_gmt":"2025-05-31T01:13:16","guid":{"rendered":"https:\/\/labs.wsu.edu\/scads\/?page_id=1414"},"modified":"2025-06-24T23:28:43","modified_gmt":"2025-06-25T06:28:43","slug":"gaann-program","status":"publish","type":"page","link":"https:\/\/labs.wsu.edu\/scads\/gaann-program\/","title":{"rendered":"GAANN Program"},"content":{"rendered":"\n

GAANN Program in AI and Data Science for Complex Engineering Applications<\/strong><\/h1>\n\n\n\n

AI and data science are crucial enabling technologies across a range of domains, and they are center pieces for understanding complex systems. The US electric power industry is increasingly adopting machine learning and data analytics technologies to improve the reliability, resiliency, and efficiency of power systems. The intersection of the power systems and information systems technologies helps define new architectures for the electric system with enhanced ability to accommodate a range of options from distributed to central station assets. As a result, the power industry is looking for people who \u201cspeak\u201d both data science and power engineering. Moreover, advancements in algorithms, software, and computing platforms have made AI empower and influence almost every aspect of our lives. Software engineers should not only know how to build and maintain complex software, but they also need to know how to extract knowledge from massive amounts of available data and adapt that knowledge to consider different human factors. Thus, there is huge demand for highly skilled cross-disciplinary manpower across these domains, but the talent to meet this demand is critically lagging. <\/p>\n\n\n\n

To fill in this critical national need, the School of Electrical Engineering and Computer Science (EECS) at Washington State University (WSU) established a Department of Education-funded Graduate Assistance in Areas of National Need (GAANN) program in 2022 to educate and train the highest quality domestic PhD students at the intersections of AI, data science, and engineering. Specific objectives of the program include: <\/p>\n\n\n\n

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  1. increasing the number of domestic PhD students focusing on the application of AI and data science for use in complex engineering applications and <\/li>\n\n\n\n
  2. providing excellent academic experiences to GAANN fellows through integrated mentoring and engagement opportunities at national labs, industry settings, and technology\/community alliances. <\/li>\n<\/ol>\n\n\n\n

    Having strong and thriving programs in machine learning and AI, software engineering, and power engineering, EECS is ideally situated to provide opportunities for this interdisciplinary education. The GAANN program is led by Dr. Assefaw Gebremedhin, and Drs. Anamika Dubey, Venera Aranoudova, and Noel Schulz serve as Co-PIs.<\/p>\n\n\n\n

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    GAANN Fellows Being Trained<\/strong><\/h2>\n\n\n\n
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    \n \"Jaren\n<\/figure>\n\n\n\n

    Jarren Briscoe<\/strong><\/h3>\n\n\n\n

    PhD in Computer Science
    AI and Machine Learning<\/p>\n\n<\/div>\r\n\n\n

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    \n \"Daniel\n<\/figure>\n\n\n\n

    Daniel Glover<\/strong><\/h3>\n\n\n\n

     PhD in Electrical Engineering
    Power Engineering<\/p>\n\n<\/div>\r\n\n\n

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    \"James<\/figure><\/div>\n\n\n

    James Halvorsen<\/strong><\/h3>\n\n\n\n

    PhD in Computer Science
    Cybersecurity, Machine Learning
    <\/p>\n\n<\/div>\r\n\n<\/div>\n\n

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    \r\n\t\n\n
    \n \"Charlotte\n<\/figure>\n\n\n\n

    Charlotte Wertz<\/strong><\/strong><\/strong><\/h3>\n\n\n\n

    PhD in Electrical Engineering
    Power Engineering<\/p>\n\n<\/div>\r\n\n\n

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    \n \"Casey\n<\/div>\n\n\n\n

    Casey Dettlaff<\/strong> <\/h3>\n\n\n\n

    PhD in Electrical Engineering
    Power Engineering<\/p>\n\n\n\n

    Starting Fall 2025<\/em><\/p>\n\n<\/div>\r\n\n\n

    \r\n\t\n\n
    \n \"Carlos\n<\/div>\n\n\n\n

    Carlos Munoz-Salazar<\/strong> <\/h3>\n\n\n\n

    PhD in Computer Science
    Cyber-Physical Systems Security<\/p>\n\n\n\n

    Starting Fall 2025<\/em><\/p>\n\n<\/div>\r\n\n<\/div>\n\n\n

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    Publication<\/strong>s<\/h2>\n\n\n\n
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