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Richard Chapman

Rensselaer Polytechnic Institute · US
Area of research
Hardware and Architecture · Artificial Intelligence
Research interest
Research interests include Embedded Systems Design Techniques, Logic, programming, and type systems, Software Engineering Research, and Parallel Computing and Optimization Techniques.
h-index
9
citations
295
works
67
NIH funding
primary concept
email

Recent publications

Multi-Agent Deep Reinforcement Learning for Access Point Activation Strategy in Cell-Free Massive MIMO Networks
2023cited by 9position: lastdoi
Development and assessment of MyAccessible Math: promoting self-learning for students with vision impairment
Universal Access in the Information Society 2023cited by 1position: lastdoi
Camouflaged Poisoning Attack on Graph Neural Networks
2022cited by 16position: middledoi
Developing an Online Music Teaching and Practicing Platform via Machine Learning: A Review Paper
Lecture notes in computer science 2021cited by 15position: lastdoi
A Multimodal Platform to Teach Mathematics to Students with Vision-Impairment
Lecture notes in computer science 2021cited by 8position: lastdoi
MyA+ Math: Teaching Math to Students with Vision Impairment
Lecture notes in computer science 2020cited by 7position: lastdoi
An Exploration of Methods for Identifying Conversation Participants
2020cited by 1position: middledoi
‘Uh-oh Spaghetti-oh’: When Successful Genetic and Evolutionary Feature Selection Makes You More Susceptible to Adversarial Authorship Attacks
2020cited by 0position: lastdoi
Multiplatform Stereoscopic 3D Terrain Mapping for UAV Localization
2019cited by 3position: lastdoi
Stereo-vision-based Collision Avoidance Simulation
2019cited by 1position: lastdoi
Using Technology to Provide Diabetes Education for Rural Communities
Online Journal of Rural Nursing and Health Care 2018cited by 7position: lastdoi
Comprehension and application of design patterns by novice software engineers
2018cited by 5position: lastdoi
Collision avoidance algorithms for unmanned aerial vehicles using computer vision
Journal of computing sciences in colleges 2017cited by 12position: lastdoi
An unmanned aircraft see and avoid algorithm development platform using opengl and opencv
Journal of computing sciences in colleges 2017cited by 1position: middle

Grants

Formally Verified, Efficient Tools for High-Level Synthesis and Hardware-Software Codesign
NSF9623604$281,3541996–2002PIRePORTER

Frequent collaborators

Daniela Marghitu · Auburn University4 papers (2020–2023)Saâd Biaz · Auburn University3 papers (2017–2019)Abhishek Jariwala · Auburn University3 papers (2020–2023)Gerry Dozier · Auburn University2 papers (2020–2020)Alexicia Richardson · Auburn University2 papers (2020–2020)Fatemeh Jamshidi · University of Mohaghegh Ardabili2 papers (2021–2023) · 1 papers (2019–2019)Hani Sedaghat-Pisheh · Auburn University1 papers (2017–2017)Michael C. King · University of Massachusetts Chan Medical School1 papers (2020–2020)Caralise W. Hunt · Apple (Israel)1 papers (2018–2018)Amaury Rodríguez Rivera · Auburn University1 papers (2017–2017)Manik Thogaripally · Auburn University1 papers (2020–2020)Sarp Aykent · Auburn University1 papers (2020–2020)Zachary H. Jones · Sandia National Laboratories1 papers (2017–2017)Andrew J. Morgan · The University of Melbourne1 papers (2017–2017)Kendall Henderson · Auburn University1 papers (2018–2018)Chao Jiang · Beijing University of Technology1 papers (2022–2022)Charles Kinzel · University of Notre Dame1 papers (2019–2019)Yi He · Jiangxi University of Traditional Chinese Medicine1 papers (2022–2022)Jing Hou · California State University, San Marcos1 papers (2023–2023)