CSCI Majors present their research at Celebration of Undergraduate Research

October 31st, 2017

Congratulations to our CSCI Majors who presented their work at the 2017 Celebration of Undergraduate Research  

  • Dominic Bosco  Mentors: Lakshminarayanan Mahadevan, Christoph Weber, Orit eleg, Alex Heyde and Sarah Iams, Harvard University, Cambridge, MA
    Understanding Collective Motion: Jamming and Crowd DynamicsXinnan (Frank) Cheng  Mentor: Adam Eck, Computer Science                              Impact of Real-Time Ride-sharing Software on Traffic Congestion in Metropolitan Cleveland:  Multi-Agent Simulation Approach

    Jane Hsieh Mentor: Yumi Ijiri, Physics                                                                                                                                               Determining the Magnetic Structure of Ferrite Nanoparticles

    Mark Ligonde    Mentor: Stephen FitzGerald, Physics                                                                                                                                                         The Uses of Hydrogen in Metal-Organic Frameworks

    Yasmeen Mussard-Afcari     Mentor: Adam Eck, Computer Science
    Creating Barriers to Determination of Structurally Cohesive Subgroups

    Diep Nguyen   Mentor: Emily Miraldi, Immunobiology and Biomedical Informatics, Cincinnati Children’s Hospital                                                                                                                                                   Transcriptional Regulatory Network inference from Single-Cell RNA Measurements in Embryonic Stem Cells

    Pedro Ribeiro   Mentors: Jenelle Feather and Josh McDermott, MIT, Cambridge, MA
    Sound Classification with Convolutional Neural Networks

    Noel Warford   Mentors: Maithilee Kunda and Adriane Seiffert, Psychology, Vanderbilt University                                                                                                                                               Information Salience: Artificial Intelligence Models of Human Attention