Announcements

 Course Announcement Fall 2024: Design and Fabrication of Micro-Electro-Mechanical Systems (ENEE605)

Course Description:ENEE605 is a multidisciplinary graduate course ideal for incoming first/second year graduate students (and senior undergrads) that covers fundamental design and fabrication aspects of Micro-Electro-Mechanical Systems (MEMS). For the past 10 years the course has focused on applications related to the monitoring or treatment of human health issues, and will continue this year by […]

 Course Announcement Fall 2024: Design and Fabrication of Micro-Electro-Mechanical Systems (ENEE605) Read More »

UPCOMING THESIS DEFENSE: MATTHEW KEELER

Author: Matthew Keeler Title: DESIGN NOVELTY EVALUATION THROUGH ORDINAL EMBEDDING: COMPARISON OF NOVELTY AND TRIPLET ERRORS Date/time: April 19th at 12:00pm Location: 2164 DeWALT Seminar Room, Glenn L. Martin Hall. Committee members:Professor Mark D. Fuge, Chair/AdvisorProfessor Shapour AzarmProfessor Nikhil Chopra Abstract:A practical and well-studied method for computing the novelty of a design is to construct

UPCOMING THESIS DEFENSE: MATTHEW KEELER Read More »

UPCOMING THESIS DEFENSE: CASHEN DINIZ

Author: Cashen Diniz Title: Denoising the Design Space: Diffusion Models for Accelerated Airfoil Shape Optimization Date/time: April 16th at 9:30am Location: 2164 DeWALT Seminar Room, Glenn L. Martin Hall. Committee members:Professor Mark D. Fuge, Chair/AdvisorProfessor James BaederProfessor Michael Otte Abstract: Generative models offer the possibility to accelerate and potentially substitute parts of the often expensive

UPCOMING THESIS DEFENSE: CASHEN DINIZ Read More »

UPCOMING THESIS DEFENSE: ANTHONY FABBRI

Author: Anthony Fabbri Title of dissertation: Second Wave Mechanics Date/time: April 16th, 2024 at 2:00pm Location: 2162 DeWALT Conference Room, Glenn L. Martin Hall. Committee members: Abstract: The COVID-19 pandemic experienced very well-documented “waves” of the virus’ progression, which can be analyzed to predict future wavebehavior. Common wave shape patterns can be identified in real-timedata, to predict the pattern

UPCOMING THESIS DEFENSE: ANTHONY FABBRI Read More »

Special Lecture: Digital models, scientific machine learning, and digital twins

Title: Digital models, scientific machine learning, and digital twins: a virtuous interplay between data-driven algorithms and physics-inspired numerical models. When: Spring 2024 ; Wednesdays from 12 till 2pm in MATH 3206 Instructor: Alfio Quarteroni Abstract: Problem setting is a critical precursor to problem solving. It involves the art of formulating the right problem statement. The

Special Lecture: Digital models, scientific machine learning, and digital twins Read More »

UPCOMING DISSERTATION DEFENSE: YEKANTH RAM CHALUMURI

Author: Yekanth Ram Chalumuri Title of dissertation: TOWARDS AUTOMATION OF HEMORRHAGE DIAGNOSTICS AND THERAPEUTICS Date/time:  April 10th, 2024 at 12pm Location:  ERF 1207 (IREAP Building) Committee members: Dr. Jin-Oh Hahn, Advisor and Chair Dr. Yang Tao, Dean’s Representative Dr. Hosam Fathy Dr. Mark Fuge Dr. Yancy Diaz-Mercado Dr. Andrew Reisner Abstract: This thesis primarily focuses on developing algorithms and methodologies to achieve

UPCOMING DISSERTATION DEFENSE: YEKANTH RAM CHALUMURI Read More »

UPCOMING THESIS DEFENSE: SIDNEY MOLNAR

Author: Sidney Molnar Title of dissertation: Metareasoning Strategies to Correct Navigation Failures of Autonomous Ground Robots Date/time: April 8th, 2024 at 10:00am Zoom: https://umd.zoom.us/j/9892794999?omn=94673990602 Location: 2164 DeWALT Conference Room, Glenn L. Martin Hall. Committee members: Abstract: Due to the complexity of autonomous systems, theoretically perfect path planning algorithms sometimes fail because of unexpected behaviors that occur when these systems

UPCOMING THESIS DEFENSE: SIDNEY MOLNAR Read More »