{"683129":{"#nid":"683129","#data":{"type":"event","title":"PhD Defense by Augustinos Saravanos","body":[{"value":"\u003Cp\u003EYou are cordially invited to my PhD thesis defense presentation on Friday, July 18th, 2025.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDistributed Optimization Architectures for Large-Scale Decision-Making\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EFriday, July 18th, 2025\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E1:00 - 3:00 pm EST\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation: \u003C\/strong\u003ECoda C1215 Midtown\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMeeting Link:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/91891408754\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/91891408754\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAugustinos Saravanos\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMachine Learning PhD Student\u003C\/p\u003E\u003Cp\u003ESchool of Electrical and Computer Engineering\u003Cbr\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E1. Dr. Evangelos Theodorou (School of Aerospace Engineering, Georgia Tech; Advisor)\u003C\/p\u003E\u003Cp\u003E2. Dr. Arkadi Nemirovski (School of Industrial and Systems Engineering, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E3. Dr. Yao Xie (School of Industrial and Systems Engineering, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E4. Dr. Justin Romberg (School of Electrical and Computer Engineering, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E5. Dr. Efstathios Bakolas (Department of Aerospace Engineering and Engineering Mechanics, UT Austin)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAs the scale and complexity of modern multi-agent systems are rapidly increasing, the development of scalable and reliable decision-making algorithms is becoming increasingly vital. This thesis introduces a series of novel distributed optimization, control, and learning-based architectures that address these challenges, ensuring computational efficiency, scalability, robustness under uncertainty and interpretability. The main contributions can be summarized as follows: (i) Two novel distributed dynamic optimization architectures for large-scale multi-agent control are introduced, providing state-of-the-art scalability for optimal control in autonomous systems and demonstrating their effectiveness through hardware experiments. (ii) A family of scalable decentralized methods for distribution steering in multi-agent stochastic systems is presented, providing trade-offs between safety capabilities and computational efficiency. (iii) A model predictive control version of the decentralized distribution steering framework is then proposed, enabling its application to real-world multi-agent systems operating under uncertainty. (iv) A hierarchical distribution optimization architecture is presented for very-large-scale clustered multi-agent systems, which exploits underlying hierarchies to achieve improved scalability and robustness. (v) Finally, a deep learning-aided distributed optimization architecture for large-scale quadratic programming is introduced, demonstrating substantially improved performance over traditional optimizers and strong generalization to large-scale problems.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDistributed Optimization Architectures for Large-Scale Decision-Making\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Distributed Optimization Architectures for Large-Scale Decision-Making"}],"uid":"27707","created_gmt":"2025-07-14 19:44:41","changed_gmt":"2025-07-14 19:45:11","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-07-18T13:00:00-04:00","event_time_end":"2025-07-18T15:00:00-04:00","event_time_end_last":"2025-07-18T15:00:00-04:00","gmt_time_start":"2025-07-18 17:00:00","gmt_time_end":"2025-07-18 19:00:00","gmt_time_end_last":"2025-07-18 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda C1215 Midtown","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}