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Home > Student Works > Graduate Student Events > Graduate Research Achievement Day > 2023 > Graduate School

2023 Graduate Research Achievement Day

The Graduate School Posters

 

Posters submitted by ODU graduate students in the Graduate School's programs for the 13th annual (4th Virtual) Graduate Research Achievement Day (GRAD) Poster Competition.

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  • Scalable Quantum Edge Detection Method for D-NISQ Imaging Simulations: Use Cases from Nuclear Physics and Medical Image Computing by Emmanuel Billias and Nikos Chrisochoides

    Scalable Quantum Edge Detection Method for D-NISQ Imaging Simulations: Use Cases from Nuclear Physics and Medical Image Computing

    2023

    Emmanuel Billias and Nikos Chrisochoides
    Department: Computer Science

  • Hydrodynamics and Sediment Transport in the Tidally Influenced James River by Ollie Gilchrest and Rip Hale

    Hydrodynamics and Sediment Transport in the Tidally Influenced James River

    2023

    Ollie Gilchrest and Rip Hale
    Department: Ocean & Earth Sciences

  • Using nsPEFs to Sensitize MRSA to Vancomycin Treatment by Areej Malik, Alexandra E. Chittams-Miles, Claudia Muratori, and Erin B. Purcell

    Using nsPEFs to Sensitize MRSA to Vancomycin Treatment

    2023

    Areej Malik, Alexandra E. Chittams-Miles, Claudia Muratori, and Erin B. Purcell
    Department: Chemistry and Biochemistry

  • Characterization of Cl-Par-4: WT vs. Mutant by Samjhana Pandey, Krishna K. Raut, Andrea M. Clark, Antoine Baudin, Lamya Djemri, David S. Libich, and Steven M. Pascal

    Characterization of Cl-Par-4: WT vs. Mutant

    2023

    Samjhana Pandey, Krishna K. Raut, Andrea M. Clark, Antoine Baudin, Lamya Djemri, David S. Libich, and Steven M. Pascal
    Department: Chemistry and Biochemistry

  • Evaluation of Scalable Quantum and Classical Machine Learning for Particle Tracking Classification in Nuclear Physics by Polykarpos Thomadakis, Emmanuel Billias, and Nikos Chrisochoides

    Evaluation of Scalable Quantum and Classical Machine Learning for Particle Tracking Classification in Nuclear Physics

    2023

    Polykarpos Thomadakis, Emmanuel Billias, and Nikos Chrisochoides
    Department: Computer Science

 
 
 

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