The National Center for Women & Information Technology (NCWIT) Selects Finalists for the 2022 NCWIT Collegiate Award
NCWIT is pleased to announce finalists for the 2022 NCWIT Collegiate Award, celebrating 80 undergraduate and graduate women, genderqueer, and non-binary students from 59 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 80 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 2022 finalists below.
Final Round application reviews are open January 21 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
Sophia Abraham, University of Notre Dame, Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems | Bryn Loftness, University of Vermont, Constructing a Low Cost Stress-Detection Biosensor |
Laalitya Acharya, Columbia University, Nereid: Using a Convolutional Neural Network (CNN) Approach, an AI Technique, to Rapidly and Accurately Detect Microbial Contamination That May Cause Water-Borne Diseases | Olivia Logan, Vanderbilt, Fire Mitigation App |
Lauren Zoe Baker, Colorado School of Mines, Multi-Instance Support Vector Machine with Incomplete Data for Clinical Outcome Prediction of COVID-19 | Kelly Mack, University of Washington - Seattle, Designing Tools for High-Quality Alt Text Authoring |
Emily Bartusiak, Purdue University, A Stochastic Grammar Approach to Predict Flight Phases of a Hypersonic Glide Vehicle | Becky Mashaido, Northeastern University, Low Precision Arithmetic in Deep Learning |
Caroline Bell, University of Virginia, Save our Schools | Krystal Maughan, University of Vermont, Forgetful Compositional Isogeny Schemes |
Alyshia Bustos, University of New Mexico, New Technologies and Approaches to Teaching Diverse Youth About Computer Science Through Interactive Murals | Samina Mondal, University of Virginia, Rinth: Leveraging the metaverse for a non-pharmacological treatment of pain |
Ye Won Byun, Carnegie Mellon University, Vision-Language Navigation | Divya Nagaraj, Stanford University, Novel Evaluation Framework of Transformers for Clinical Summarization |
Julia Christina Camacho, Massachusetts Institute of Technology (MIT), GrassrootsGov | An Nguyen, University of Texas - Arlington, Watchable, an Internet of Things Watch User Interface for Distributed Interactions |
Christine Campbell, Indiana University - Bloomington, Finding Effector III Genes in Phytophthora infestans and Magnaporthe oryzae Using Machine Learning | Margaret Nicoli, Embry-Riddle Aeronautical University, Collins Aerospace Systems Engineering |
Saivasudha Chalasani, University of Illinois - Urbana Champaign, Falling Fruit | Shannon O'Hara Wiora, Tidewater Community College, Comparison of Algorithms for Predicting Membrane Protein Structures |
Mihret Chernet, George Mason University, Web Development Camp | Marian Obuseh, Purdue University, Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective Analysis |
Sylvia Chin, Stanford University, Investigating the Extent to which Discrepancies in SpO2 Readings Occur due to Differences in Patient Skin Pigmentation | Obianuju Okafor, University of North Texas, Helping Students with Upper-body Motor Impairments Program via Voice-Enabled Block-based Programming |
Kimaya Colaco, Georgia Institute of Technology, SERVE Trauma App | Srishti Palani, University of California - San Diego, Supporting Coordinated Knowledge Discovery by Contextualizing Web Search in Personal and Collaborative Knowledge Work |
Elizabeth Copps, Middlebury College, Analyzing scientific data sharing patterns for in-network data caching | Bridget Peterkin, University of Nebraska - Lincoln, Smart-Bandage Android App |
Pradnya Desai, New Jersey Institute of Technology, Continual Learning with Differential Privacy | Trisha Prabhu, Harvard University, ReThink: Conquering Cyberbullying |
Anjali Donthi, University of Minnesota - Twin Cities, Operation Serenity | Rifat Ara Proma, University of South Florida, Tools for monitoring air quality and self-managing health hazards caused by air pollution. |
Upasana Dutta, University of Colorado - Boulder, Sampling uniform random networks with fixed degree sequences | Gayatri Rajan, Carnegie Mellon University, LaunchScape: Revolutionizing CS Education with a Novel Augmented Reality App |
Shreyosi Endow, University of Texas - Arlington, Compressables: A Haptic Prototyping Toolkit for Wearable Compression-Based Interfaces | Angie Reyes Mendoza, Fairleigh Dickinson University, Ham or Spam? - Cybersecurity Machine Learning Applications |
Erica Fagnan, University of California - Los Angeles, Graph Theoretic Analysis of Nanocarbon Structures | Nikita Rubocki, Oregon State University, Feature Analysis |
Paula Faidley, East Tennessee State University, Covid-19 Tracking Android Application | Kate Sanborn, University of Alabama, AirFlute: A Virtual Flute and Tutoring System |
Katelyn France, University of Minnesota - Twin Cities, “Solutions with a SMYLE” The Genesis of Novel Life-Saving Medical Technology | Nurani Saoda, University of Virginia, Altair |
Patricia Garcia, University of Southern California, College Thrifts | Mehrnoosh Shakarami, University of Texas - San Antonio, Access Control for Smart Home IoT |
Emily Gavrilenko, California Polytechnic State University - San Luis Obispo, Hack4Impact: Meals that Connect | Azin Shamshirgaran, University of California - Merced, Robotics in Agriculture |
Mary Gerhardinger, Kenyon Colllege, The Hubble Tension, and Early Dark Energy: Simulating Nonlinear Instabilities | Christa Simaan, University of Pennsylvania, The Formalization of Permutation Networks |
Grace Guan, Stanford University, Early Detection of COVID-19 Outbreaks Using Human Mobility Data | Rachel Sterneck, Yale University, Energy Efficient and Robust Adversary Detection in Neural Networks |
Fatemeh Haghighi, Arizona State University - Tempe, Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning | Olivia Strasburg, Denison University, Identification of Novel nrEVEs in Wild-Caught Aedes aegypti Mosquitos |
Jacqueline He, Princeton University, Detecting and Classifying Online Abusive Content via BERT-based Transfer Learning | Niharika Suravarjjala, University of California - Davis, Project T.E.R.S.U.S - Technologically, Efficient, Rapid, Smart, Unmanned, Sanitizer |
Ciara Horne, University of Virginia, Identifying Marginalized Populations Near Deficient High-Hazard Dams | Marisa Tania, University of San Francisco, AI-Powered 3D Human Pose Tracking and Analysis |
Erin Howard, Western Washington University, Eclipsa: Eclipsing Binary Detection with Convolutional Neural Networks | Aishwarya Tare, University of Maryland - College Park, AR Community Garden |
Yuansi Hu, Monmouth University, Resource-Oriented Timed Workflow Nets and Simulation Tool Design | Grace Tian, Harvard University, Verifying Differentially Private Transformations for OpenDP |
Fatemeh Jamshidi, Auburn University, A Technological Platform to Teach Music Online via Machine Learning | Margaret Trimpin, Towson University, Modeling Crime With Stochastic Processes |
Lucy Jiang, University of Washington - Seattle, VerbalEyes: A Large-Scale Inquiry into the State of Audio Description | Aakriti Upadhyay, University at Albany - SUNY, A Topology-Aware Sampling-Based Motion Planner |
Dana Joseph, Yale University, Catalace | Anjali Vadlamudi, University of Illinois - Urbana Champaign, Predicting Blood Brain Barrier Permeability of Neural Drugs: a Novel Approach Using SMILES and Machine Learning |
Deanna King, Tennessee Tech University, TALUS | Sarah Wielgosz, University of Pittsburgh, Parametric Modeling of NASA's Radioisotope Thermoelectric Generators for Future Deep-Space Missions |
Fulya Kocaman, California State University - Fullerton, Machine Learning for Classification of Cancer Dataset for Gene Mutation Based Treatment | Sherry Wong, University of Wisconsin - Madison, Cosmic Ray and Magnetically Driven Bubbles in Galaxies |
Aparna Kumar, Columbia University, ARC | Catherine Yeh, Williams College, Cognitive Task Analysis for Post-hoc, Empirical AI Explanations |
Megan Le, University of Texas - Austin, Computational and statistical methods to understand natural selection in humans from time series ancient DNA data | Christina Zhang, University of Texas - San Antonio, Pwing: Survey Software for Businesses during COVID-19 |
Tabitha Lee, Carnegie Mellon University, Structural Sim-to-Real Transfer of Robot Manipulation Policies using Causal Reasoning | Victoria Zhang, Harvard University, Monitoring of Radiotherapy X-Rays during Cancer Treatment Employing a Novel Sensor Array |
Marceline Lewis, Kennesaw State University, Renewable Ocean Wave Energy Harvesting Device for Sustainable Boats and Ships | Michelle Zhao, Carnegie Mellon University, Matching Navigation Instructions to Human Knowledge |
Sequoah Lloyd, Broward College, Newborn Hearing Screen Program - Missed Baby Report | Rebecca Zhu, Princeton University, MyGraine: Predicting Migraines Using Machine Learning |
