Student Defenses

Author: Yonatan Saadon Date/Time: October 22 | 2-4pm Location: EGR 2164 Examining Committee Professor Patrick McCluskey, ChairProfessor Hugh BruckProfessor Mark FugeProfessor Peter SandbornProfessor Mohamad Al-Sheikhly (Dean rep) Abstract: Accurate prediction of the remaining useful life (RUL) of a degrading component is crucial to prognostics and health management for electronic systems, to monitor conditions and avoid reaching failure while minimizing downtime.

The Graduate School has stipulated that starting on August 30, 2021, all thesis and dissertation defenses must occur fully in person unless an exemption has been granted by the Graduate School. The defending student and committee must be physically present in the examination room during the entire defense and during the committee’s private deliberations following

Title: NEXT GENERATION HEAT PUMP SYSTEM EVALUATION METHODOLOGIES Author: Hanlong Wan Date/Time: 9/2/21 | 2:00PM-4:00PM Location/Room: EGR4164B Martin Hall (CEEE’s conference room). Advisory Committee:Prof. Reinhard K. Radermacher, ChairProf. Peter Sunderland, Dean’s RepresentativeResearch Prof. Yunho HwangProf. Nikhil ChopraProf. Jelena SrebricProf. Bao Yang Abstract:Energy consumption of Heat Pump (HP) systems plays a significant role in the world

Title: Analysis and Optimization of Input Trajectories for Parameter Identifiability in Multi-Compartment Dynamic System Models Author: Mahsa Doosthosseini Date/Time: 08/17/2021  12:30 pm-2:30 pm Examining Committee: Dr. Hosam K. Fathy  (Chair/Advisor)Dr. Alisa Morss Clyne (Dean’s representative)Dr. Joseph S. FriedbergDr. Jin-Oh HahnDr. Simona OnoriDr. Monifa Vaughn-Cooke Zoom Link: https://umd.zoom.us/j/6260893257 Abstract: This dissertation examines the interconnected problems of (i)

Title: DEGRADATION ANALYSIS OF LITHIUM-ION BATTERIES WITH KNEE POINTS Author: Weiping Diao  Day/Time: 08/26/2021 10:00 AM – 12:00 PM EST Examining Committee: Dr. Michael Pecht, ChairDr. Chunsheng Wang, Dean’s RepresentativeDr. Michael AzarianDr. Hosam FathyDr. Paul AlbertusDr. Stanislav I. Stoliarov Abstract:  Commercialization of lithium-ion batteries has enabled applications ranging from portable consumer devices to high-power electric vehicles to become commonplace.

Title: BAYESIAN METHODOLOGY FOR RELIABILITY GROWTH PLANNING, PROJECTION AND TRACKING FOR DISCRETE-USE SYSTEMS UTILIZING MULTI-SOURCE DATA Author: Paul Nation Day/Time: Monday, August 23rd from 1:00 pm to 3:00 pm Examining Committee:Professor Mohammed Modarres, Chair and AdvisorProfessor Aris ChristouAssistant Professor Katrina GrothProfessor Jeffrey HermannDoctor Martin Wayne, Special AdvisorProfessor Gregory Baecher, Dean’s Representative Abstract: This research aims to present a

Title: EXPERIMENTAL CHARACTERIZATION AND MODELING OF FLAME HEAT FEEDBACK AND OXIDATIVE PYROLYSIS FOR SIMULATION OF BENCH SCALE FIRE TESTS Author: Conor McCoy Date/Time: Thursday, August 5th | 9:30am Examining Committee:Professor Stanislav I. Stoliarov, ChairProfessor Mohamad Al-Sheikhly, Dean’s RepresentativeDr. Richard E. LyonProfessor Arnaud TrouvéProfessor Bao Yang Abstract: Two important bench scale fire tests, the cone calorimeter

Title: Experiments and Semi-empirical Modeling of Buoyancy-driven, Turbulent Frame Spread over Combustible Solids in a Corner Configuration. Author: Dushyant Chaudhari Day/Time: Aug 4, 2021 09:00 AM Eastern Time (US and Canada) Examining Committee: Professor Stanislav I. Stoliarov, ChairProfessor Christopher Cadou, Dean’s RepresentativeProfessor Arnaud TrouvéProfessor Johan Larsson Dr. Isaac Leventon Abstract: The increased use of engineered complex polymeric

Title: MODEL-BASED ESTIMATION AND CONTROL FOR LITHIUM-SULFUR BATTERIES Author: Chu Xu Date/Time: 08/02/2021  12:00pm-2:00pm Zoom: https://umd.zoom.us/j/9255782074 Examining Committee: Dr. Hosam K. Fathy, Chair/AdvisorDr. Chunsheng Wang, Dean’s representativeDr. Balakumar BalachandranDr. Miao YuDr. Michael G. PechtDr. Paul Stephen Albertus Abstract:This dissertation examines the challenge of (i) estimating the internal states of lithium-sulfur (Li-S) batteries based on an experimentally-parameterized