Find IU experts who are studying Internet of Things and artificial intelligence at IU.
Artificial intelligence and IoT research at IU
Faculty
Sohel Anwar
anwar@iupui.edu
Associate Professor of Mechanical Engineering, IUPUI
Novel sensors, advanced diagnostics, biomechanical device design and control, smart structures, wind turbine modeling, autonomous vehicles
Katy Borner
katy@indiana.edu
Victor H. Yngve Distinguished Professor of Information Science, IU Bloomington
Study of the structure and evolution of scientific disciplines; the analysis and visualization of online activity; and the development of cyberinfrastructures for large scale scientific collaboration and computation
Mehmet M Dalkilic
dalkilic@indiana.edu
Associate Professor of Informatics and Computing, IU Bloomington
Data mining, data science, climate change, autonomous vehicles, scRNA seq (single cell expression), cancer, computational biology, HPC
Qin Hu
qinhu@iu.edu
Assistant Professor of Computer Science, IUPUI
Information security, game theory
Rebecca Bartlett Ellis
rjbartle@iu.edu
Associate Professor of Nursing, IUPUI
Ethical and social implications of AI as it relates to digital health technologies (IoT)
Mohamed El-Sharkawy
melshark@iupui.edu
Professor of Electrical and Computer Engineering, IUPUI
Embedded systems, autonomous systems, wireless communications, digital signal processing and multimedia systems
Xiaonan Guo
xg6@iu.edu
Assistant Professor of Computer and Information Technology, IUPUI
Cybersecurity and privacy, security in mobile devices, IoT security, mobile healthcare and large data analysis
John Lee
johnlee@iupui.edu
Associate Professor of Electrical and Computer Engineering
Implementation of algorithms, high-performance parallel/GPGPU computing, IoT, IoE, big data processing
Greg Lewis
lewigr@iu.edu
Assistant research scientist, Kinsey Institute Traumatic Stress Research Consortium and assistant professor of intelligent systems engineering, IU Bloomington
Deep learning based brain-computer interface for real-time control in assistive technologies, and Private AI Edge EM/RF Sensor Fusion to Enhance Cognitive Performance for Pilots
Lingxi Li
ll7@iupui.edu
Associate Professor of Electrical and Computer Engineering, IUPUI
Transportation systems, intelligent vehicles, power systems, biological systems, networked systems
Yao Liang
yaolinag@iupui.edu
Professor of Computer Science, IUPUI
Internet of Things, sensor netowrks, wireless networks
Lantao Liu
lantao@iu.edu
Assistant Professor of Intelligent Systems Engineering, IU Bloomington
Robotics, artificial intelligence, machine learning, unmanned vehicles
Karl MacDorman
kmacdorm@iu.edu
Associate Dean of Academic Affairs; Director of Informatics and Data Science; and Associate Professor of Human-Computer Interaction, IU Bloomington
Android science, machine learning, social robots, computational neuroscience, computer security
Aqueasha Martin-Hammond
aqumarti@iupui.edu
Assistant Professor of Human-Computer Interaction, IUPUI
Human-computer interaction, accessibility, intelligent user interfaces, persuasive health technology, health informatics
Khairi Reda
redak@iupui.edu
Assistant Professor of Data Science and Human-Computer Interaction, IUPUI
Data visualization, visual perception and cognition, data science, human-computer interaction
David Russomanno
drussoma@iupui.edu
Dean of the School of Engineering and Technology, IUPUI
Intelligent sensors, knowledge representation and inference, semantic web applications, data, and knowledge visualization, logic programming applications, STEM education
Renran Tian
rtian@iupui.edu
Assistant Professor of Computer and Information Technology, IUPUI
Autonomous driving, cyber-human system, computation behavior modeling, cognitive psychology, data mining and machine learning
Qingxue Zhang
qxzhang@iu.edu
Assistant Professor Electrical and Computer Engineering, IUPUI
AI learning and IoT sensing into smart systems for big data-driven smart health/home/world applications
Jiang Zheng
jzheng@iupui.edu
Professor of Computer and Information Science, IUPUI
Computer vision, pattern recognition