Teaching with CEOHP. - Vicki L. Almstrum; Deepa Muralidhar; Mary Z. Last; Barbara Boucher Owens (ITiCSE, 2011)

CEOHP evaluation, evolution, and archival storage (abstract only). - Vicki L. Almstrum; Barbara Boucher Owens; Mary Z. Last; Deepa Muralidhar (SIGCSE, 2012)

Computer science principles: analysis of a proposed advanced placement course. - Andrea C. Arpaci-Dusseau; Owen L. Astrachan; N. Dwight Barnette; Matthew Bauer; Marilyn Carrell; Rebecca Dovi; Baker Franke; Christina Gardner; Jeff Gray 001; Jean Griffin; Richard Kick; Andy Kuemmel; et al. (SIGCSE, 2013)

A first-year experience report on a model for statewide deployment of CS principles courses (abstract only). - Jeff Gray 001; Mokter Hossain; Jonathan Corley; Amber Wagner; Cassidy Lamm; Mary Boehm; Carol Crawford; Kathleen Haynie; Sheryl Packman; Deepa Muralidhar; Jeff Baker; Roy Black; et al. (SIGCSE, 2014)

A Mid-Project Report on a Statewide Professional Development Model for CS Principles. - Jeffrey G. Gray; Kathleen Haynie; Sheryl Packman; Mary Boehm; Carol Crawford; Deepa Muralidhar (SIGCSE, 2015)

Special Session: Perspectives on Adopting and Facilitating Guided Inquiry Learning. - Helen H. Hu; Clifton Kussmaul; Deepa Muralidhar; Kristine S. Nagel (SIGCSE, 2015)

A Hands-On Lab for Macro Malware Detection using Machine Learning on Virtual Machines. - Dan Chia-Tien Lo; Ruth Bearden; Deepa Muralidhar; Hossain Shahriar; Wei Chen 003; Pascal Paschos; Chung Ng (SIGCSE, 2020)

Examining Religion Bias in AI Text Generators. - Deepa Muralidhar (AIES, 2021)

Creating a framework for a Benchmark Religion Dataset. - Deepa Muralidhar; Ashwin Ashok (CIKM Workshops, 2022)

Elements that Influence Transparency in Artificial Intelligent Systems - A Survey. - Deepa Muralidhar; Rafik Belloum; Káthia Marçal de Oliveira; Ashwin Ashok (INTERACT (1), 2023)

Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems. - Deepa Muralidhar (AAAI, 2024)

The Effect of Progressive Disclosure in the Transparency of Large Language Models. - Deepa Muralidhar; Rafik Belloum; Káthia Marçal de Oliveira; Ashwin Ashok; Pardaz Banu Mohammad (CHIRA (1), 2024)

The Effect of Progressive Disclosure in the Transparency of Explainable Artificial Intelligence Systems. - Deepa Muralidhar (VL/HCC, 2024)