The National Center for Women & Information Technology (NCWIT) Selects Finalists for the 2020 NCWIT Collegiate Award
NCWIT is pleased to announce finalists for the 2020 NCWIT Collegiate Award, celebrating 85 undergraduate and graduate students who self-identify as women, genderqueer, or non-binary from 66 academic institutions nationwide.
Conferred annually, the NCWIT Collegiate Award recognizes technical contributions to projects that demonstrate a high level of innovation and potential impact. The 85 finalists were selected based on their achievements and technical abilities exhibited through their projects submitted in their Preliminary Round applications.
View a complete list of the 2020 finalists below.
Final Round application reviews are open through February 17. Find out how to volunteer at www.aspirations.org/VolunteerReviewer.
The entire NCWIT AiC program platform is supported generously by Apple. AiC also receives support for specific national program elements; the NCWIT Collegiate Award is sponsored by Qualcomm and Amazon with additional support from Palo Alto Networks.
Finalists
| • Medha Aiyah, University of Texas - Dallas, Mobile STEM MakerSpace - We Come to You! |
| • Lauren Alonso, Miami Dade College, Capstone: Networking Prospal |
| • Soheyla Amirian, University of Georgia, Automatic Video Caption Generation |
| • Alexis Anderson, University of South Carolina - Columbia, Deployment of 500 Chromebooks |
| • Alexandra Ballow, Youngstown State University, Modeling Micro-scale Pressure Sensors Using Direct Simulation Monte Carlo |
| • Michelle Bao, Stanford University, Enhancing Real-Time Driver Identification Checks Using Liveness Detection for the Uber Driver App |
| • Charmaine Beluso, Mississippi State University, D-SEA: The Underwater Depth Sensing Device for Standalone Time-Averaged Measurements |
| • Reina Bermudez Rivera, Cornell University, Computational Fluid Analysis of Skin Friction Drag on Bush Plane Banners |
| • Amanda Bolden, University of Dayton, Smart Cane |
| • Blaire Bosley, Georgia State University, The Ethnographic Exhibit: The Remaking of the Human Zoo using Unity |
| • Tara Broome, Mississippi State University, Launch of Automation Anywhere in Operational Technology Field |
| • Rebecca Castelan, University of Houston, Express Me |
| • Kira Corbett, Oregon State University, Synthesis: A Robotics Simulation Tool to Combine CAD and Code |
| • Amie Croteau, Pennsylvania State University, Resilient Resumes |
| • Erica Cruz, Carnegie Mellon University, Reclaiming Haunted Spaces |
| • Jenna Delozier, Maryville College, Optimization of Memory Resource Utilization for Integral Storage in The Hartree-Fock Algorithm for Supercomputing |
| • Anna Dodson, Dartmouth College, Privacy-Sensitive Network Bandwidth Prediction via On-Device Learning for Streaming Applications |
| • Tiffanie Edwards, Southern Connecticut State University, Deep Learning for Score-based Serial Fusion for User Verification |
| • Erica Fagnan, University of California - Santa Barbara, Graph-Theoretic Analysis of Nanocarbon Structures |
| • Kelly Finke, Swarthmore College, Ancestral Haplotype Reconstruction for Identifying Recessive Risk Factors |
| • Katelyn France, University of Minnesota - Duluth, "Anaphylactic Shocker!": The Creation and Use of a Dynamic QR Code Medical Bracelet System To Locate and Administer a Practice Epinephrine Auto-Injector During a Staged Medical Emergency |
| • Vinitha Gadiraju, University of Colorado - Boulder, BrailleBlocks |
| • Annie Gao, Yale University, Image Quality Assessment in an Autonomous Robot Photographer |
| • Grace Guan, Princeton University, Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis |
| • Jennifer Guerrero, City Colleges of Chicago - Wilbur Wright College, PlanIt |
| • Fumi Honda, Brown University, NLU in Financial Trade Chatbot |
| • Zohreh Sadat Hosseini, University of Denver, A Modified Machine Learning-based Clustering Approach for Residential Customers' Phase Identification in Power Systems |
| • Joy Hsu, Stanford University, Co-Teaching Glaucoma Models Medical Annotation Quality |
| • Israa Jaradat, University of Texas - Arlington, Excavator: Truth Diggers Never Get Lost |
| • Gabriella Johnson, University of Colorado - Boulder, Game Changer: Accessible Audio and Tactile Guidance for Board and Card Games |
| • Mackenzie Jorgensen, Villanova University, Automated Machine Learning for Multi-Class Classification of Hate Speech on Twitter |
| • Edden Kashi, Hofstra University, Investigating Techniques of User Tracking Through Mobile- and Web-Applications |
| • Yasmin Kassim, University of Missouri - Columbia, Deep U-net Regression and Hand-crafted Feature Fusion for Accurate Blood Vessel Segmentation |
| • Ehdieh Khaledian, Washington State University - Pullman, Phagetherapy by Data Analysis and Machine Learning |
| • Evelyn Krasnik, University of Illinois - Urbana Champaign, Skill Tracker |
| • Elizabeth Kresock, University of San Diego, Engineering Exchange for Social Justice (ExSJ) Web and Mobile Application |
| • Iza Lantgios, University of Pittsburgh, Reducing Emissions of Transit Buses - Intersection of Sustainability, Techno-economics and Data-Driven, Multi-fidelity, Multi-physics Modeling |
| • Rachel Lauf, California State University - Long Beach, 2019 NASA Student Launch Competition |
| • Sriya Lingampalli, University of California - Santa Cruz, RecipeMe: Modernizing Food Storage |
| • Victoria Lloyd, Harvey Mudd College, Simulation of Light Propagation Through CsI for the Mu2e Experiment |
| • Chandra Manivannan, North Carolina State University, Sensitivity Analysis for a Kidney Transplant Model |
| • Ruby Martinez Gomez, University of Colorado, Boulder, D.O.T.T.S. (Debris Orbital Tumbler and Thermal Sensor) |
| • Hannah Mason, Lipscomb University, Robust yet Computationally Inexpensive Algorithms for Lane Detection and Following for Autonomous Vehicles |
| • Krystal Maughan, University of Vermont, Personalized Robotics Using MISL |
| • Sahithi Meduri, University of North Carolina - Charlotte, CISE REU Evaluation Dashboard |
| • Fatemehsadat Mireshghallah, University of California - San Diego, Shredder: Learning Noise Distributions to Protect Inference Privacy |
| • Nancy Mogire, University of Hawaii - Manoa, Tokens of Interaction: Psycho-Physiological Signals, A Potential Source of Evidence of Digital Incidents |
| • Gaige Moore, Rensselaer Polytechnic Institute, Vorpal the Hexapod |
| • Yasaman Mostafavi, Illinois Institute of Technology, Online Catalog for Pirate Pete's Closet |
| • Mariana Munoz, University of Texas - El Paso, Technology to Reduce Consumerism |
| • Sonia Murthy, Princeton University, Towards a Comprehensive, Psychologically-Grounded Computational Model of Human Word-Color Associations |
| • Shreya Nallapati, University of Denver, Application of Supervised Machine Learning Algorithms to Historical Repositories of Mass Shooting Instances to Classify the Plausibility of Ongoing Threats |
| • Lily Linh Nguyen, San Jose State University, An eLearning Mobile Application for Parents of Disability Children Using Recommendation Algorithms |
| • Chariane Nkengfack, Fairleigh Dickinson University, Toute |
| • Ruth Okoilu, North Carolina State University, Let's Watch Math Game Become Easier By ReOrdering Curriculum Sequence |
| • Sofia Ongele, Fordham University, ReDawn |
| • Janelle Otero, Florida State University, Glode (Global Code) |
| • Cassandra Overney, Franklin W. Olin College of Engineering, A Unified User Interface for Analyzing Flow Cytometry Data |
| • Linette Pan, University of Chicago, Multimission Ground Systems and Services Documentation Automation |
| • Kelley Paskov, Stanford University, Inherited Deletions Contribute to Autism Risk |
| • Joslenne Pena, Pennsylvania State University, Designing and Developing Computing Workshops for Diverse Faculty and Staff Professionals |
| • Samhita Pendyal, Cornell University, Tracknee: Knee Angle Measurement Using Stretchable Conductive Fabric Sensors |
| • Isha Puri, Harvard University, A Scalable and Freely Accessible Machine Learning Based Application for the Early Detection of Dyslexia |
| • Fatemeh Radaei, University of California - Davis, Developing a Delirium Predictive Model for Post Stroke Patients |
| • Maria Ramos Garzon, California State University - East Bay, Future Founders |
| • Alexandra Rindone, Johns Hopkins University, Development of a Quantitative 3D Imaging Platform to Characterize Blood Vessel-bone Cell Interactions in Craniofacial Bone |
| • Naba Rizvi, University of Toledo, Hera |
| • Jennifer Rojas, Connecticut College, Waste Watcher: Tracking Your Consumption and Environmental Impact |
| • Anne Ross, University of Washington - Seattle, A Large-Scale Analysis of Mobile App Accessibility |
| • Aarushi Sarbhai, University of Utah, Managing Sensor Metadata in Exposomic Studies Using Blockchain |
| • Eshika Saxena, Harvard University, HemaCam: A Computer Vision-Enhanced Mobile Phone Imaging System for Automated Screening of Hematological Diseases with Convolutional Neural Networks |
| • Arpita Singhal, University of California - Berkeley, CSEA: Cell Set Enrichment Analysis |
| • Ariana Isabel Sokolov, University of Southern California, Trill Project |
| • Samantha Speer, Carnegie Mellon University, MinfulNest |
| • Ashwarya Srinivas, University of California - Berkeley, The Training Games - A Cybersecurity Training Platform |
| • Vaidehi Srinivas, Carnegie Mellon University, Following the Leader in Online Algorithms |
| • Shruthi Sundar, Georgia Institute of Technology, Ask Your Kid About |
| • Valeria Torres-Olivares, Princeton University, iInsure |
| • Stacey Truex, Georgia Institute of Technology, Protecting Data Privacy in the Age of Machine Learning |
| • Anjali Vemuri, University of California - Davis, Connected Unit Tests |
| • Sherrie Wang, Stanford University, Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning |
| • Faith Williams, Columbia University, Quantum Entanglement in Medical Diagnosis |
| • Gabriella Wojtanowski, Gallaudet University, Voice Assistants |
| • Arissa Wongpanich, University of California - Berkeley, Asynchronous Methods for Scaling Up Distributed Deep Learning on High Performance Computing Clusters |
| • Hairuo Xu, Auburn University, Toward the Verifiability Problem in Distributed Machine Learning: Attack Models and Detection Algorithms |
