Applied Science Graduates 2021-onward
2024
Reed Beverstock, Ph.D (2024, Applied Science - Accelerator Science) Advisor: Dennis Manos
"Superconducting Niobium Titanium Nitride Films and Structures for Accelerator Applications"
LV, Miranda, Ph.D (2024, Applied Science - Data Science) Advisor: Dan Runfola
"Advancing Infrastructure and Environmental Monitoring with Deep Learning and Satellite Imagery."
Carlos Da Silva, Ph.D (2024, Applied Science - Neuroscience) Advisor: Christian Del Negro
"Contributions of the persistent sodium and M-type potassium currents in the prebotzinger comples for breathing rhythm generation."
2023
Samantha Applin, Ph.D (2023, Materials Science & Engineering) Advisor: Hannes Schniepp
"Investigation of Reversibly Assembling Materials Using Force Spectroscopy"
Benjamin Skopic, Ph.D (2023, Materials Science & Engineering) Advisor: Hannes Schniepp
"Tape-Based Structural Metamaterials"
Bahgat, Karim, PhD (2023, Applied Science) Advisor: Daniel Runfola
"Where's My Data? Geospatial Techniques For Mapping And Monitoring Administrative Boundaries"
Abeywickrama, Walakulage Dona Avishi, PhD (2023, Applied Science) Advisor: Hannes Schniepp
"Direct Measurements Of Interfacial Interactions Of 2D Materials"
2022
Ethan Brewer, Ph.D. (2022, Computational Geography ND) Advisor: Dan Runfola
"Deep Learning from Space: Methods & Applications in High-Resolution Satellite Imagery Analysis"
Eden Maness, Ph.D. (2022, Neuroscience) Advisor: Hosh Burk
"Orexin receptor antagonism and schizophrenia: addressing attentional impairment in an NMDA receptor hypofunction model of psychosis"
Dinidu Perera, Ph.D. (2022, Nanomaterials & Imaging) Advisor: Hannes Schniepp
"Structure, Formation, and Mechanics of Nanofibrillar Spider Silk"
Mary Therese Rooney, Ph.D. (2022, Biophysical Chemistry) Advisor: Myriam Cotten
"Metal-ion Binding in the Anti-microbial Peptides Piscidins 1 and 3: Insights into the Molecular Structures of Metallopeptides and Their Mechnisms of Membrane Disruption"
Sudip Paudel, Ph.D. (2022, Biomolecular Engineering) Advisor: Margaret Saha
"Analysis of Calcium Activity During Early Neural Development"
Yawei Xiong, Ph.D. (2022, Biophysical Chemistry) Advisor: Myriam Cotten
"Structural and Functional Studies of Membrane-Interacting Anti-microbial and Neuroimmune Peptides: Insights Gained from Investigating Piscidin and Orexin"
Cameron Grover, Ph.D. (2022, Neuroscience) Advisor: Christopher Del Negro
"The Origins of Inspiratory and Sign Breathing Rhythms: Ion Channels, Bursting Mechanisms, and Synaptic Topologies Studied in Vitro and in Silico"
2021
Daniel Borrus, Ph.D. (2021, Neuroscience) Advisors: Christopher Del Negro and Greg Conradi Smith
"Cellular and Synaptic Mechanisms that Underlie Eupnea and Sigh Rhythms for Breathing Behavior in Mice"
Prajkta Kallurkar, Ph.D. (2021, Neuroscience) Advisor: Christopher Del Negro
"Physiological and Transcriptomic Analyses of Inspiratory Rhythm- and Pattern-generating Interneurons of the preBötzinger Complex in Mice"
Spencer Kirn, Ph.D. (2021, Non-Destructive Evaluation) Advisor: Mark Hinders
"Uncovering Information Operations on Twitter Using Natural Language Processing and the Dynamic Wavelet Fingerprint"
Peiwen Liu, Ph.D. (2021, Lasers and Optics) Advisor: Gunter Luepke
"Ultrafast Optical Control and Characterization of Carrier and Spin Dynamics in Novel Magnetic Topological Insulator Systems"
Margaret Mary Rooney, Ph.D. (2021, Non-Destructive Evaluation) Advisor: Mark Hinders
"Characterization of Wireless Communications Networks Using Machine Learning and 3D Electromagnetic Wave Propagation Simulations"
Seth Goodman, Ph.D. (2021) Advisor: Dan Runfola
"Filling in the Gaps: Applications of Deep Learning, Satellite Imagery, and High Performance Computing for the Estimation and Distribution of Geospatial Data"
