An Immersive Granular Material Visualization System with Haptic Feedback. - Enkhtuvshin Dorjgotov; Bedrich Benes; Krishna Madhavan (TPCG, 2007)

Middleware Integration and Deployment Strategies for Cyberinfrastructures. - Sebastien Goasguen; Krishna Madhavan; David Wolinsky; Renato J. O. Figueiredo; Jaime Frey; Alain Roy; Paul Ruth; Dongyan Xu (GPC, 2008)

Case studies: First-Year engineering nanotechnology-based design projects. - Kelsey Joy Rodgers; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2013)

Security of graph data: hashing schemes and definitions. - Muhammad Umer Arshad; Ashish Kundu; Elisa Bertino; Krishna Madhavan; Arif Ghafoor (CODASPY, 2014)

First-year engineering students' nanotechnology awareness, exposure and motivation before and after educational interventions. - Oguz Hanoglu; Kerrie Anna Douglas; Krishna Madhavan; Heidi A. Diefes-Dux (FIE, 2014)

First-year engineering students' self-reported knowledge of nanotechnology - The development of a coding scheme. - Oguz Hanoglu; Kelsey Joy Rodgers; Yi Kong; Krishna Madhavan; Heidi A. Diefes-Dux (FIE, 2014)

Development and validation of a Nano Size and Scale Instrument (NSSI). - Yi Kong; Heidi A. Diefes-Dux; Kelsey Joy Rodgers; Kerrie Anna Douglas; Krishna Madhavan (FIE, 2014)

Mini workshop - Developing engineers for a changing world through modeling and simulation-based pedagogy. - Kelsey Joy Rodgers; Heidi A. Diefes-Dux; Krishna Madhavan; Yi Kong (FIE, 2014)

Integrating analytics and surveys to understand fully engaged learners in a highly-technical STEM MOOC. - Nathan M. Hicks; Doipayan Roy; Siddharth Shah; Kerrie Anna Douglas; Peter Bermel; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2016)

Surveying the motivations of groups of learners in highly-technical STEM MOOCs. - Brittany Mihalec-Adkins; Nathan M. Hicks; Kerrie Anna Douglas; Heidi A. Diefes-Dux; Peter Bermel; Krishna Madhavan (FIE, 2016)

Models for early prediction of at-risk students in a course using standards-based grading. - Farshid Marbouti; Heidi A. Diefes-Dux; Krishna Madhavan (Comput. Educ., 2016)

Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course. - Kerrie Anna Douglas; Peter Bermel; Md Monzurul Alam; Krishna Madhavan (J. Learn. Anal., 2016)

Using pre-course survey responses to predict sporadic learner behaviors in advanced STEM MOOCs work-in-progress. - Harsh Wardhan Aggarwal; Peter Bermel; Nathan M. Hicks; Kerrie Anna Douglas; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2017)

Instructor outcomes of teaching a STEM MOOC. - Mitchell Zelinski; Nathan M. Hicks; Su Wang; Kerrie Anna Douglas; Peter Bermel; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2017)

Utilizing visualization and feature selection methods to identify important learning objectives in a course. - Farshid Marbouti; Heidi A. Diefes-Dux; Krishna Madhavan (LAK, 2017)