IMG Seminar

The speakers for this week's seminar are:

11:55am - 12:20pm: Dr. Myoseon Jang​ (Invited speaker - UF): Emerging issues on Atmospheric Aerosol: Modelling, characterization, and its Implications to Health and Climate​

12:20pm - 12:45pm: Dr. Xin Tang​ (Invited speaker - UF): new tools for the application in the systematic investigation of uni- and multi-cellular systems to understand how mechanical force and bioelectrical signals link the form and function of living systems​

The speaker for this week's seminar is the new IMG faulty memmber, Dr. Philip Feng, whose talk is on

Multimode Resonant MEMS in Liquid: from Microscale Chladni Patterns to Cancer Cell Cluster Analysis

The speakers for this week's seminar are:

11:55am - 12:20pm: James Fleetwood (Invited speaker - UF): Safety Simplified for IMG Researchers

12:20pm - 12:45pm: Dr. Chuck Hages (Invited speaker - UF): Developing next-generation semiconductors for energy research

1) Abstract: Curious about what safety concerns you are missing? Learn what resources HWCOE Safety has to offer and how Safety can work for you! From chemical safety to ergonomics HWCOE Safety has you covered.

For this week seminar, we will have Dr, Sae Miller talking about "Research Overview & Thermo–Acoustic Combustion Instability"

Abstract:

This presentation contains two parts. The first includes an overview of the PI’s research program, students, and teaching. The second discusses combustion instability, which causes rocket and jet engine failure. We will examine important equations for combustion instability and combustion acoustics.

This week, the speakers for the IMG Seminar are:

This week, the speaker for the IMG Seminar is Dr. Ant Ural on Low dimensional nanoscale materials and devices:

This week, the speaker for the IMG Seminar is Dr. Jennifer A. Nichols on Predictive Biomechanical Simulations: Applications to the Musculoskeletal System:

This week, the speakers for the IMG Seminar are:

• Dr. Chelsea Simmons on Cells as Microsystems
• Jacob Amontree (Dr. Fan's group) on Capillary Force Driven Single-Cell Spiking Apparatus for Studying Circulating Tumor Cell

Cells as Microsystems. Successful integration of MEMS with biomedicine requires an intimate understanding of biophysiological processes. Dr. Simmons will describe tools at the micro and mesoscale she uses to study these processes, including cells themselves! Specific applications in cancer and regeneration will be highlighted. 

Capillary Force Driven Single-Cell Spiking Apparatus for Studying Circulating Tumor Cell. The characterization of single cells within heterogeneous populations has great impact on both biomedical sciences and cancer research. By investigating cellular compositions on a broad scale, pertinent outliers may be lost in the sample set. Alternatively, an investigation focused on the behavior of specific cells, such as circulating tumor cells (CTCs), will reveal genetic biomarkers or phenotypic characteristics associated with cancer and metastasis. On average, CTC concentration in peripheral blood is extremely low, as few as one to two per billion of healthy blood cells. Consequently, the critical element lacking in many methods of CTC detection is accurate cell capture efficiency at low concentrations. To simulate CTC isolation, researchers usually spike small amounts of tumor cells to healthy blood for separation. However, spiking tumor cells at extremely low concentrations is challenging in a standard laboratory setting. We report our study on an innovative apparatus and method designed for low-cost, precise, and replicable single-cell spiking (SCS).

This week, the speaker for the IMG Seminar is Dr. Erin Patrick on Applied Computational Modeling: More-than-Moore Devices to Neurotechnology

Computational modeling is often used for design of devices, however; it also provides one the ability better explain experimental results. This presentation highlights some of my work using modeling and simulation to better understand the performance of two dissimilar devices: Gallium Nitride heterostructure transistors and peripheral nerve interfaces. 

This week, the speaker for the IMG Seminar is Dr. Alina Zare on Addressing spatial uncertainty during remote sensing data analysis.

Most supervised machine learning algorithms assume that each training data point is paired with an accurate training label (for classification) or value (for regression). However, obtaining accurate training label information is often time consuming and expensive, making it infeasible for large data sets, or may simply be impossible to provide given the physics of the problem. Furthermore, human annotators may be inconsistent when labeling a data set, providing inherently imprecise label information.

In the case of problems with imprecise label information, Multiple Instance Learning (MIL) methods are required. The Multiple Instance Adaptive Cosine Estimator (MI-ACE) approach is one of the few MIL methods that can estimate a representative target concept. In this presentation, an introduction to the MI-ACE approach will be provided along with a description of several MIL-based algorithms and results on a variety of data types and applications.