{"691539":{"#nid":"691539","#data":{"type":"event","title":"Ph.D. Dissertation Defense - La\u0027Darius Thomas","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Decentralized Peer-to-Peer (P2P) Energy Trading Market Improvements in Electrical Distribution Systems\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Valerie Thomas, ISyE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Daniel Molzahn, ECE, Co-Advisor\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Santiago Grijalva, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Constance Crozier, ISyE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Samuel Coogan, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Rabab Haider, University of Michigan\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPeer-to-peer (P2P) energy trading has emerged as a decentralized market architecture for\u0026nbsp;\u003Cbr\u003Eintegrating distributed energy resources into modern electricity distribution systems. In these\u0026nbsp;\u003Cbr\u003Emarkets, prosumers exchange surplus electricity directly through bilateral transactions rather\u0026nbsp;\u003Cbr\u003Ethan relying on centralized wholesale market clearing. While decentralized P2P trading offers\u0026nbsp;\u003Cbr\u003Elocal energy utilization and consumer participation, it also introduces strategic interactions\u0026nbsp;\u003Cbr\u003Eamong self-interested participants operating within the physical constraints of low-voltage, three\u0002phase distribution networks. Existing research has investigated strategic electricity markets,\u0026nbsp;\u003Cbr\u003Enetwork sensitivity analysis, and three-phase distribution system modeling as largely\u0026nbsp;\u003Cbr\u003Eindependent problems. Comparatively, less attention has been devoted to developing a unified\u0026nbsp;\u003Cbr\u003Edecentralized framework in which strategic bilateral market interactions, prosumer duality, and\u0026nbsp;\u003Cbr\u003Ethree-phase network feasibility are jointly represented while preserving decentralized market\u0026nbsp;\u003Cbr\u003Ebehavior. This dissertation develops a decentralized game-theoretic framework for P2P energy trading that\u0026nbsp;\u003Cbr\u003Eintegrates strategic market behavior with distribution network operation. First, a P2P market\u0026nbsp;\u003Cbr\u003Emodel is formulated to analyze bilateral trading under fixed buyer and seller roles where strategic\u0026nbsp;\u003Cbr\u003Epricing and market equilibrium is determined. Second, the framework is extended through\u0026nbsp;\u003Cbr\u003Eprosumer duality, allowing each participant to simultaneously determine energy purchases and\u0026nbsp;\u003Cbr\u003Eenergy sales where that market roles emerge from equilibrium rather than being assigned a fixed\u0026nbsp;\u003Cbr\u003Eassignment. Finally, the decentralized market is coupled with a three-phase AC power flow\u0026nbsp;\u003Cbr\u003Eformulation that explicitly incorporates voltage constraints into the coordination of bilateral\u0026nbsp;\u003Cbr\u003Eenergy exchanges.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Decentralized Peer-to-Peer (P2P) Energy Trading Market Improvements in Electrical Distribution Systems "}],"uid":"28475","created_gmt":"2026-08-07 15:08:29","changed_gmt":"2026-08-07 18:53:01","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-18T14:00:00-04:00","event_time_end":"2026-08-18T16:00:00-04:00","event_time_end_last":"2026-08-18T16:00:00-04:00","gmt_time_start":"2026-08-18 18:00:00","gmt_time_end":"2026-08-18 20:00:00","gmt_time_end_last":"2026-08-18 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room W218, Van Leer","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/meet\/249971405921129?p=v3rKUBuF6VMa95Pw3c","title":"Microsoft Teams Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691452":{"#nid":"691452","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Adou Sangbone Assoa","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Scalable, Modular, and Robust Architectures for Array Signal Processing\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Arijit Raychowdhury, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Visvesh Sathe, ECE\u003C\/p\u003E\u003Cp\u003EDr. Saibal Mukhopadhyay, ECE\u003C\/p\u003E\u003Cp\u003EDr. Subhashish Chakravarty, Collins Aerospace\u003C\/p\u003E\u003Cp\u003EDr. Yan Fang, Kennesaw State\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis dissertation presents scalable, low-power hardware architectures for real-time direction-of-arrival (DOA) estimation in large antenna arrays. Through algorithm\u2013hardware co-design, it develops FPGA- and ASIC-based processors that combine sparse signal recovery, distributed processing, lightweight neural networks, and neural calibration to achieve low-latency, energy-efficient, and robust array signal processing.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Scalable, Modular, and Robust Architectures for Array Signal Processing "}],"uid":"28475","created_gmt":"2026-08-04 22:48:39","changed_gmt":"2026-08-05 21:51:11","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-17T09:00:00-04:00","event_time_end":"2026-08-17T11:00:00-04:00","event_time_end_last":"2026-08-17T11:00:00-04:00","gmt_time_start":"2026-08-17 13:00:00","gmt_time_end":"2026-08-17 15:00:00","gmt_time_end_last":"2026-08-17 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 2456, Klaus","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/meet\/225478930447140?p=SE8sv6mko6TYYULq9t","title":"Microsoft Teams Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691453":{"#nid":"691453","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Ellie Pond","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Assuring Autonomous Performance through Safety and Optimization\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Matthew Hale, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Maegan Tucker, ECE\u003C\/p\u003E\u003Cp\u003EDr. Samuel Coogan, ECE\u003C\/p\u003E\u003Cp\u003EDr. Sean Wilson, GTRI\u003C\/p\u003E\u003Cp\u003EDr. Sarah Li, AE\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAutonomous networked systems are increasingly tasked with completing complex assignments in challenging environments. In these settings, individual agents must remain safe while, as a collective, making progress towards completing the network\u0027s objective. It is especially important, as these systems are brought into the public sphere, that preserving the safety of humans is kept as a top priority. Autonomous systems typically make decisions using online optimization so that their control actions are determined by minimizing a given objective function. One technique to develop safe autonomous behavior is to incorporate a constraint into optimization problems that, when satisfied, guarantees that the system remains in a safe set of the state space. One challenge with this approach is that it is unknown beforehand if this problem will be continuously feasible, that is, whether it will always be possible to satisfy the constraint that guarantees safe behavior. This dissertation addresses this challenge by formulating a priori techniques that guarantee continued system safety prior to implementation. In the latter half of this dissertation, we address the challenge of reliable network performance, that is, the ability of a group of autonomous agents to collaboratively complete an assigned objective. Agents within the network make decisions using their own locally computed information and information gathered from communication with other agents in the network. As a result of communication delays or varying computational power, agents often make decisions using outdated information. In this dissertation, we propose a distributed algorithm that is guaranteed to accomplish its objective even with arbitrarily outdated information. We then analyze a collection of algorithms that can tolerate this type of asynchrony, and we derive formal assurances on which algorithm is guaranteed to accomplish its objective in the smallest number of iterations. We also consider the setting in which the level of asynchrony within the network is bounded. In such a setting, we propose a general class of algorithms and show that it is reliably convergent.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Assuring Autonomous Performance through Safety and Optimization "}],"uid":"28475","created_gmt":"2026-08-04 22:51:44","changed_gmt":"2026-08-04 22:52:47","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-17T09:00:00-04:00","event_time_end":"2026-08-17T11:00:00-04:00","event_time_end_last":"2026-08-17T11:00:00-04:00","gmt_time_start":"2026-08-17 13:00:00","gmt_time_end":"2026-08-17 15:00:00","gmt_time_end_last":"2026-08-17 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 523A, TSRB","extras":[],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691451":{"#nid":"691451","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Sergio Dorado-Rojas","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Approximate Internal Models and Transmission Network Reconfiguration for Reliable Power Grid Operations\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Daniel Molzahn, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Samuel Coogan, ECE\u003C\/p\u003E\u003Cp\u003EDr. Constance Crozier, ISyE\u003C\/p\u003E\u003Cp\u003EDr. Sorin Olaru, Centrale Supelec\u003C\/p\u003E\u003Cp\u003EDr. Ermin Wei, Northwestern\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EConverter-interfaced generation and large data center loads that connect to or disconnect from the bulk grid abruptly expose the power system to abnormal frequency excursions and to transmission congestion. At the device level, this dissertation develops a theory of approximate internal models for sinusoids of varying frequency, embedding a receding horizon approximation of the instantaneous frequency in the controller. The resulting current controller for single-phase grid-following inverters preserves tracking under frequency deviations well beyond the ranges contemplated by power quality standards. At the network level, optimal transmission switching is formulated within the linear-coupled AC power flow model using a node-breaker representation of the substations. Under an apparent power congestion metric, the resulting mixed-integer linear program departs from DC-based decisions and approaches the full AC reference. Together, these contributions support reliable grid operation under the stress imposed by large flexible loads.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Approximate Internal Models and Transmission Network Reconfiguration for Reliable Power Grid Operations "}],"uid":"28475","created_gmt":"2026-08-04 22:45:11","changed_gmt":"2026-08-04 22:46:57","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-14T10:00:00-04:00","event_time_end":"2026-08-14T12:00:00-04:00","event_time_end_last":"2026-08-14T12:00:00-04:00","gmt_time_start":"2026-08-14 14:00:00","gmt_time_end":"2026-08-14 16:00:00","gmt_time_end_last":"2026-08-14 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room C1215, CODATitle:  Approximate Internal Models and Transmission Network Reconfiguration for Reliable Power Grid Operations Committee: Dr. Daniel Molzahn, ECE, Chair, Advisor Dr. , Co-Advisor Dr. Samuel Coogan, ECE Dr. Constance Crozier, ISyE Dr. Sori","extras":[],"related_links":[{"url":"https:\/\/gatech.zoom.us\/j\/96041708235?pwd=FbVN4J2xE5lUoTFtDAQXOzoyqKYK35.1","title":"Zoom Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691450":{"#nid":"691450","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Roderick Gray","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Passive Magnetic-Field Sensing for Detection of Grounding-Conductor and Environmental States using Controlled Narrowband Excitation\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Morris Cohen, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Raheem Beyah, ECE\u003C\/p\u003E\u003Cp\u003EDr. Lukas Graber, ECE\u003C\/p\u003E\u003Cp\u003EDr. Emmanuel Rowe, AFRL\u003C\/p\u003E\u003Cp\u003EDr. Manos Tentzeris, ECE\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe reliable detection of buried electrical conductors is essential for utility mapping, infrastructure maintenance, and excavation safety, yet environmental factors such as soil moisture can influence measured magnetic field responses. This research presents a controlled experimental investigation of the effects of conductor presence and soil moisture on measured magnetic field signatures using a custom magnetic sensing system and frequency-domain analysis centered on a 3.111 kHz injected excitation. Three orthogonal magnetic field components were measured over a two-dimensional spatial grid under multiple experimental configurations, with quantitative analysis focused on the 3106\u20133116 Hz frequency region and the three-row spatial region. Peak FFT amplitudes, spatial difference maps, RMS differences, and mean absolute differences were used to compare conductor, moisture, and baseline conditions. The results demonstrate that conductor presence produces substantially larger and more spatially localized magnetic field perturbations than soil moisture alone, while moisture primarily modifies the magnitude and distribution of the conductor-induced response rather than masking it. The horizontal magnetic field components exhibited the greatest sensitivity to conductor presence, whereas the vertical component was more responsive to moisture-induced changes. These findings establish that combining targeted frequency-domain analysis with localized spatial measurements provides a robust and quantitative framework for distinguishing buried electrical conductors from environmental effects, laying the foundation for future automated buried infrastructure detection and classification systems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Passive Magnetic-Field Sensing for Detection of Grounding-Conductor and Environmental States using Controlled Narrowband Excitation "}],"uid":"28475","created_gmt":"2026-08-04 22:42:15","changed_gmt":"2026-08-04 22:43:25","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-12T10:00:00-04:00","event_time_end":"2026-08-12T12:00:00-04:00","event_time_end_last":"2026-08-12T12:00:00-04:00","gmt_time_start":"2026-08-12 14:00:00","gmt_time_end":"2026-08-12 16:00:00","gmt_time_end_last":"2026-08-12 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room W225, Van Leer","extras":[],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691335":{"#nid":"691335","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Ken Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; High-Resolution Digital-Alike ADC Architectures and Design Automation\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Shaolan Li, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Jane Gu, ECE\u003C\/p\u003E\u003Cp\u003EDr. Shimeng Yu, ECE\u003C\/p\u003E\u003Cp\u003EDr. Visvesh Sathe,ECE\u003C\/p\u003E\u003Cp\u003EDr. Levent Degertekin, ME\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis dissertation presents high-resolution digital-alike analog-to-digital converter (ADC) architectures and design automation techniques for improving energy efficiency, scalability, and design productivity in advanced CMOS technologies. First, an automated design methodology is developed for first- and second-order VCO-based delta-sigma ADCs. The proposed framework integrates architecture-level exploration, circuit sizing, and simulation-based optimization to reduce the manual effort and design time required for analog and mixed-signal circuits. Second, a third-order continuous-time delta-sigma modulator using a phase-time two-step quantizer is presented. By combining VCO-based and time-domain quantization techniques, the proposed architecture achieves high-resolution conversion with low power consumption. Finally, a high-resolution pipeline-SAR ADC is developed using a driver-relaxed input interface, capacitor mismatch shaping, and a power-efficient closed-loop dynamic residue amplifier. These techniques improve input drivability, robustness, and conversion efficiency without requiring intensive calibration. Together, these works demonstrate how digital-alike circuit techniques, architectural innovation, and design automation can enable scalable and energy-efficient high-resolution ADCs.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"High-Resolution Digital-Alike ADC Architectures and Design Automation "}],"uid":"28475","created_gmt":"2026-07-28 22:31:04","changed_gmt":"2026-07-28 22:32:15","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-12T09:30:00-04:00","event_time_end":"2026-08-12T11:30:00-04:00","event_time_end_last":"2026-08-12T11:30:00-04:00","gmt_time_start":"2026-08-12 13:30:00","gmt_time_end":"2026-08-12 15:30:00","gmt_time_end_last":"2026-08-12 15:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_OWJhMzZhN2ItMzNjMi00ZTY1LWFiNzAtMzAwYWNhNzM0MDRj%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22e76190a6-076f-4d3d-b21a-a60b8521f0e7%22%7d","title":"Microsoft Teams Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691334":{"#nid":"691334","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Brett Ringel","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Design and Characterization of Photonic and RF Integrated Circuits and Devices for Harsh-Environment Space Missions\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. John Cressler, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Nima Ghalichechian, ECE\u003C\/p\u003E\u003Cp\u003EDr. Stephen Ralph, ECE\u003C\/p\u003E\u003Cp\u003EDr. William Hunt, ECE\u003C\/p\u003E\u003Cp\u003EDr. James Wray, EAS\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis thesis explores the work performed towards characterizing, understanding, and mitigating observed degradation in radio frequency and photonic integrated circuits and systems for use in high-radiation space environments. Specifically, work towards creating and characterizing integrated radiation-hardened by design complementary-metal-oxide-semiconductor transistors, and comparisons of electrical versus optical radiation-induced degradation in vertical-cavity photo-detectors, are explored. Additionally, comparisons between the radiation responses of different photonic interconnects (silicon vs. silicon-nitride), and potential mitigation techniques for the observed damage, are shown. Finally, the vulnerability of small-form resonator-based electro-optic modulators to transient radiation effects, and the implications of this increased sensitivity on photonic data links, is confirmed contrary to the perceived radiation transient hardness of photonic components.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Design and Characterization of Photonic and RF Integrated Circuits and Devices for Harsh-Environment Space Missions "}],"uid":"28475","created_gmt":"2026-07-28 22:27:47","changed_gmt":"2026-07-28 22:29:29","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-11T10:30:00-04:00","event_time_end":"2026-08-11T12:30:00-04:00","event_time_end_last":"2026-08-11T12:30:00-04:00","gmt_time_start":"2026-08-11 14:30:00","gmt_time_end":"2026-08-11 16:30:00","gmt_time_end_last":"2026-08-11 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 523A, TSRB","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/meet\/268322752269811?p=VpH2ZUaUZNRSG4uyVa","title":"Microsoft Teams Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}},"691333":{"#nid":"691333","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Ranjani Narayanan","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Investigating a Human-Centered Approach Towards Supporting Shared Mental Models in Hierarchical Human-Agent Teams for Decision Making\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Karen Feigh, AE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Samuel Coogan, ECE, Co-Advisor\u003C\/p\u003E\u003Cp\u003EDr. Sonia Chernova, CoC\u003C\/p\u003E\u003Cp\u003EDr. Maegan Tucker, ECE\u003C\/p\u003E\u003Cp\u003EDr. Zahra Ashktorab, Microsoft\u003C\/p\u003E\u003Cp\u003EDr. Nancy Cooke, Arizona State\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAdvances in AI have transformed decision-support systems from simple tools for humans into collaborative teammates. As humans increasingly supervise multiple heterogeneous agents, effective collaboration depends not only on AI capabilities but also on human ability to understand them. While prior research has focused on improving AI accuracy, transparency, and explainability, comparatively little is known about how humans develop cognitive representations of multiple AI teammates and use them to supervise complex teams. This dissertation investigates how humans develop and apply mental models of AI, i.e., Team Models, in hierarchical Human-Agent Teams (HATs). Through human-subject studies for human-agent hierarchical triads, this dissertation examines whether Team Models improve supervisory decision making, the factors that influence their development, and how different forms of prior information about AI shape Team Model formation and joint outcomes. The findings demonstrate that Team Models improve supervisory coordination, reduce workload, and enhance task efficiency, particularly when AI teammates provide conflicting recommendations. However, Team Model development is constrained by inter-agent dependencies, users\u0027 limited ability to identify AI failure modes, and the abstraction level of information presented by the system. The research further shows that prior information about teammate characteristics only selectively improves Team Model development, with its effectiveness depending on team structure. Moreover, increased knowledge about AI teammates does not necessarily produce calibrated reliance or improved collaboration, as users often rely on environmental feedback and simple heuristics rather than reasoning about teammate capabilities. Overall, this dissertation extends shared mental model theory hierarchical HATs and provides human-centered design guidelines that support better supervision and collaborative decision making.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Investigating a Human-Centered Approach Towards Supporting Shared Mental Models in Hierarchical Human-Agent Teams for Decision Making "}],"uid":"28475","created_gmt":"2026-07-28 22:24:23","changed_gmt":"2026-07-28 22:25:52","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-11T15:00:00-04:00","event_time_end":"2026-08-11T17:00:00-04:00","event_time_end_last":"2026-08-11T17:00:00-04:00","gmt_time_start":"2026-08-11 19:00:00","gmt_time_end":"2026-08-11 21:00:00","gmt_time_end_last":"2026-08-11 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/meet\/226217387992002?p=SDowPwrvHSBLZbwSVN","title":"Microsoft Teams Link "}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"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":""}}}