Revati Nasikkar was awarded Best Poster at the New York Celebration of Women in Computing (NYCWiC) 2026 for her poster titled “Technical but Tongue-Tied? Helping Data Professionals Present Insights with Confidence,” mentored by Dr. Unnati Shah.
This recognition, voted by conference attendees, highlights both the strength of her research and the clarity and impact of her presentation. Her work addresses a critical challenge in the field by helping data professionals communicate insights with clarity, confidence and influence. It bridges the gap between deep technical expertise and effective storytelling, enabling professionals to translate complex findings for diverse audiences more effectively.
Makayla Coleman, a Computer Science major at Utica University, led a workshop titled “From Zero to Full-Stack: Build Your First Web App in 60 Minutes” at the New York Celebration of Women in Computing (NYCWiC) 2026. The session delivered an engaging, hands-on learning experience designed to introduce participants to core full-stack development concepts through real-time practice.
All participants actively engaged in building their first web application, gaining practical experience, confidence, and a strong understanding of foundational web development skills. The workshop effectively bridged theory with practice, making complex concepts accessible through interactive learning.
Computer Science students participated in the CCSCNE 2026 Conference at Smith College, Northampton, Massachusetts, mentored by Dr. Unnati Shah. The event brought together programming contests, paper presentations and poster sessions, featuring two research papers and four posters that highlighted strong technical depth and applied innovation.
Student participants included Alexander Gomez, Gavin Magill, Ju Mi La, Patrick Penna, Vonnie Magnusen, Colin Zouck, Makayla Coleman, Nathaniel Illingsworth, Connor Pirkl and Alan Catic.
Projects covered diverse areas such as full-stack development (ConnectPlus), an interactive learning game (Apache Sudoku), AI-driven decision-making systems for smart traffic routing, sustainable networking solutions and software vulnerability analysis using time-series forecasting and adaptive models. The experience emphasized collaboration, problem-solving, and technical growth through both research and implementation.
