The National Center for Women & Information Technology (NCWIT) Selects Finalists for the 2020 NCWIT Collegiate Award

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NCWIT Collegiate Award LogoNCWIT 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

 

Aspirations Community: 
National Award

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