(CDSE) education is to prepare students the interdisciplinary skills to extract value from big data, identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data analysis approaches. The Coalition for CDSE Education is a community of multidisciplinary professors from Adams State University, Bethune-Cookman University, Embry-Riddle Aeronautical University, Hampton Sydney College, and potentially many other universities who share our mission, which is to make CDSE education accessible to all students through online education, collaborative course development, and sharing resources.
The Coalition for CDSE Education is a community of multidisciplinary professors from Adams State University, Bethune-Cookman University, Embry-Riddle Aeronautical University, Hampton Sydney College, and potentially many other universities who share our mission, which is to make CDSE education accessible to all students through online education, collaborative course development, and sharing resources.
Our Team
Hong Liu was awarded a Ph.D. in Mathematics and MS in Computer Science at the University of Arkansas, Fayetteville in 2000.
He serves as a professor in Mathematics and Computing at Embry-Riddle Aeronautical University. He served as PI and Co-PI of 14 sponsored projects, and published numerous articles in mathematics, data science, and STEM education. His current research interest is to develop a smart learning environment to promote peer learning.
Timothy Bernard graduated from Embry-Riddle Aeronautical University with a bachelor’s degree in Cybersecurity.
He also graduated with a Master of Science in Data Science while serving as a research assistant to develop software apps and maintain software systems for learning technology.
Currently, he works full time at IBM as an X-Force Red Penetration Tester in San Antonio, Texas.
Keshav Acharya was awarded a Ph.D. in Mathematics from University of Oklahoma in Norman, OK in 2013.
He serves as an assistant professor in Mathematics at Embry-Riddle Aeronautical University.
His research interests are in Mathematical Analysis and Applications and Mathematics Pedagogy.
He has published several articles in Mathematics and Pedagogy.
Fadjimata Anaroua is currently a Ph.D student in the field of Electrical Engineering & Computer Science at Embry-Riddle Aeronautical University. She received a Master of Science in Systems/Software Engineering in December 2021.
She has worked on several projects funded by the FAA which included systems designs, software development, data analytics and has published many articles.
Wenkai Tan is a recent computer science graduate with backend and frontend experience.
Three years ago he decided to re-enroll in Computer Science as his major for college, he knew this is the path career he wanted, so he has spent his spare time following courses, reading documentation, and building personal projects to achieve that goal.
His skills include Program Languages and Software Engineering Frameworks/Tools.
Anthony LoRe Starleaf, is an aspiring Astronautical Engineer with a passion for applying machine learning to solve engineering problems. Currently, he is involved in research into applying Physics-Informed Neural Networks to solving problems in soil mechanics.
This work has allowed him to further explore the intersection of machine learning and engineering, and he is excited to see the potential impact it can have on how we solve engineering problems.