BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Central Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN="Eulenfeld, Menda":mailto:menda.eulenfeld@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Brundrett, Bridget":mailto:bridget.brundrett1@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Chu, Tianx ing":mailto:tianxing.chu@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Demir, Kad ir Alpaslan":mailto:kadiralpaslan.demir@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Gillis, Br yan":mailto:bryan.gillis@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Hadimliogl u, Alihan":mailto:alihan.hadimlioglu@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Haghparast , Mahboobeh":mailto:mahboobeh.haghparast@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Heuermann, Lewis":mailto:lewis.heuermann@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Holland, S eneca":mailto:seneca.holland@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Huang, Luc y":mailto:lucy.huang@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Huang, Min hua":mailto:minhua.huang@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ji, Taoran" :mailto:taoran.ji@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Kar, Dulal" :mailto:dulal.kar@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="King, Scot t":mailto:scott.king@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Le, Huyen": mailto:huyen.le@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Liu, Bozhe n":mailto:bozhen.liu@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Liu, Zhihu i":mailto:zhihui.liu@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Medrano, A ntonio":mailto:antonio.medrano@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Rubio Medr ano, Carlos":mailto:carlos.rubiomedrano@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Sekharan, Chandra":mailto:chandra.sekharan@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Senol, Hab ib":mailto:habib.senol@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Serice, Jo hn":mailto:john.serice@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Song, Hong zhi":mailto:hongzhi.song@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Sookhak, M ehdi":mailto:mehdi.sookhak@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Starek, Mi chael":mailto:michael.starek@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Wang, Wenl u":mailto:wenlu.wang@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Yadav, Mam ta":mailto:mamta.yadav@tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Starek, Mi chael via Cs-phd-student":mailto:cs-phd-student@listserv.tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Eulenfeld, Menda via cosc-grad-students-list":mailto:cosc-grad-students-list@listserv .tamucc.edu ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Kirshtein, Tetiana":mailto:tetiana.kirshtein@tamucc.edu DESCRIPTION;LANGUAGE=en-US:Presentation 1\nTitle: FINAGENT: A BENCHMARK FOR EVALUATING LARGE LANGUAGE MODELS IN FINANCIAL ANALYSIS TASKS\nPresenter: Abiodun Adedeji\nSupervisor: Dr. Wenlu Wang\n\nAbstract\nI present FinaGen t\, a benchmark for evaluating large language models (LLMs) on financial a nalysis tasks grounded in real U.S. Securities and Exchange Commission (SE C) filings. FinaGent comprises 41 expert-validated question-context-answer triples across five task categories: Risk Analysis\, Comparative Analysis \, Strategic Reasoning\, Causal Reasoning\, and Financial Interpretation\, and four major companies: JPMorgan Chase\, Apple\, Pfizer\, and Exxon Mob il. I evaluate four state-of-the-art LLMs using ROUGE\, BERTScore\, and LL M-as-Judge. Key findings are: (1) Task type\, not model size\, is the stro ngest predictor of LLM performance\; (2) Risk Analysis is the most difficu lt task for all models\; (3) LLM-as-Judge provides more reliable evaluatio n than lexical or semantic measures for financial reasoning. Additionally\ , human-assigned difficulty labels do not align with computational difficu lty\, suggesting future benchmarks must better reflect actual task challen ges.\n\n\nPresentation 2\nTitle: Reasoning Under Uncertainty: LLM-Based Co ordination of Multi-Robot Systems with Intermittent Communication and Robo t Failures\nPresenter: Nyo Me Han\nSupervisor: Dr. Bozhen Liu\n\nAbstract\ nMulti-robot systems provide clear benefits for large-scale inspection\, m onitoring\, and search-and-rescue tasks\, but their effectiveness can be h indered by hardware issues\, unreliable communication\, and too much relia nce on fixed coordination methods. Current coordination structures often s truggle to balance scalability with the intelligence of individual robots and do not have ways to continuously assess trust in each robot. This make s it hard to spot performance drops and potential failures during missions . While large language models (LLMs) show promise for multi-robot planning \, existing methods usually use static coordination patterns and do not ef fectively tackle the best way to coordinate when assessing bridge structur es under communication limits and structural uncertainty. This thesis pres ents a hybrid agent framework that promotes proactive coordination strateg y selection\, ongoing trust monitoring\, clear decision-making\, and flexi ble replanning during missions. The framework includes four main component s: (i) Proactive Mission Strategy Selection (PMSS)\, a pre-mission module that picks the best coordination strategy using a structured mission descr iptor and rule-based scoring\; (ii) a Trust Generalization and Personaliza tion Mechanism (TGPM) that continuously calculates a Trust-Theoretic Score for each robot to detect reduced sensing\, mobility\, or communication ca pabilities\; (iii) LLM-Augmented Justification (LAJ)\, which gives natural language explanations to support clarity and accountability\; and (iv) LL M-Driven Adaptive Replanning (LDAR)\, which creates context-sensitive reco very plans in response to hardware\, battery\, and communication problems. The proposed model is used for autonomous assessments of bridge structure s and is tested with CommDeg-Bridge\, a new benchmark for trust-aware\, ag ent-based multi-robot bridge inspections. This benchmark measures damage d istribution\, resilience to communication issues\, and the accuracy of coo rdination strategy selection. Results show improved adaptability\, resilie nce\, and clarity compared to fixed-strategy methods. Although it is desig ned for bridge assessments\, the framework’s reasoning abilities allow i t to be applied in other inspection and post-disaster assessment fields.\n \n──────────\nJoin Zoom Meeting\nhttps://tamucc.zoom.u s/j/93413503585?pwd=x8zsNj2zcZkijfZWAYBNqEzPHYCboZ.1\n\nMeeting ID: 934 1350 3585\nPasscode: 522135\n\n---\n\nOne tap mobile\n+13462487799\,\,93413503585#\,\,\,\,*5221 35# US (Houston)\n+12532050468\,\,93413503585#\,\,\,\,*522135# US\n\n---\n \nJoin by SIP\n• 93413503585@zoomcrc.com \nPasscode: 522135\n\nJoin instructions\nhttps://tamucc.zoom.us/meetings/9 3413503585/invitations?signature=XDAymK_t8Qh6aikaFfZ0I5Ihem26He37k4-JaqcQ- Nc\n UID:040000008200E00074C5B7101A82E008000000004FF1573FE3D7DC01000000000000000 010000000552777B080465D4FA4B364CE5B76AA1C SUMMARY;LANGUAGE=en-US:2 Thesis Proposal Presentations - Abiodun Adedeji & Nyo Me Han DTSTART;TZID=Central Standard Time:20260505T130000 DTEND;TZID=Central Standard Time:20260505T140000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20260429T142425Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 LOCATION;LANGUAGE=en-US:CS 115 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2124736956 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-REQUESTEDATTENDANCEMODE:DEFAULT X-MICROSOFT-ISRESPONSEREQUESTED:TRUE X-MICROSOFT-LOCATIONS:[ { "DisplayName" : "CS 115"\, "LocationAnnotation" : ""\, "LocationSource" : 0\, "Unresolved" : false\, "LocationUri" : "" } ] BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR