Professor Alexander G. Ororbia II

Alexander G. Ororbia II, Ph.D. is Assistant Professor at the Rochester Institute of Technology (RIT) Computer Science Department, Affiliate Professor in the RIT Department of Psychology, Affiliate Faculty Member of RIT’s Center for Applied Neuroscience, and Affiliate Faculty in RIT’s Cognitive Science program. He is also the liaison for the CS department’s Nature-Inspired and Evolutionary Computing subarea, which falls under the RIT Computer Science Department’s Artificial Intelligence Cluster.

Since 2018, Alex has been Professor at the Department of Computer Science at Rochester Institute of Technology (RIT). He is the Founder and Scientific Director of the Neural Adaptive Computing (NAC) Laboratory, where he works on developing new learning procedures and computational architectures that embody various properties of biological neurocircuitry and are guided by theories of mind and brain functionality.

Read A Robust Backpropagation-Free Framework for Images and A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization.

His research focuses on predictive processing, competitive neural learning, metaheuristic optimization, developing computational models of neural information processing and synaptic plasticity, with contributions made to predictive coding, active inference and free energy optimization, spiking neural networks, neural-based cognitive modeling, and neurorobotic control.

Read Adversary Resistant Deep Neural Networks with an Application to Malware Detection, A Neural Temporal Model for Human Motion Prediction, CiteSeerX: AI in a Digital Library Search Engine, Using Prerequisites to Extract Concept Maps from Textbooks, Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild, and Biologically Motivated Algorithms for Propagating Local Target Representations.

He earned his Ph.D. in Information Science & Technology at Penn State University in 2018. There, he worked jointly for the Intelligent Information Systems (ISS) and Applied Cognitive Science (ACS) laboratories and was appointed as an IGERT Fellow and a NACME Sloan Scholar, receiving the Jordan-Rednor scholarships and Bunton-Waller scholarships.

His dissertation was Coordinated Local Learning Algorithms for Continuously Adaptive Neural Systems. Read Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization, Learning Simpler Language Models with the Differential State Framework, and CiteSeerX: AI in a Digital Library Search Engine.

Alex earned his Bachelor’s Degree of Science in Computer Science & Engineering at Bucknell University in 2013.

Alex has been also playing a guitar, being the Lead Guitarist in several bands throughout his studies at Bucknell and Penn State University. He also founded The Wingmen band.

Read Alexander Ororbia to Work in Collaboration with Google Research, New algorithm may help people store more pictures, share videos faster, and The neural coding framework for learning generative models.

Read Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems, VSL: Variational Shape Learner, Learning Simpler Language Models with the Differential State Framework, and The Neural Coding Framework for Learning Generative Models.

Watch Alexander G. Ororbia II – Brain Motivated Computation, Active Inference LiveStream 056.0 ~ Neural coding, Predictive processing, and Cognitive modeling (part 2, part 3).

Visit his LinkedIn profile, Mathematics Genealogy page, Home Page, Google Scholar page, and his Academic Page. Follow him on ACM Digital Library, Papers With Code, OpenReview, dblp, and IEEE Xplore.