Lab

Artificial Intelligence and Robotics Research Lab (AIRR) [This page is under construction]

The AIRR Lab brings together researchers across the areas of artificial intelligence, machine learning, and robotics. 

****We are currently recruiting new members at the graduate and undergraduate level. 

General Information

The AIRR lab was founded in Fall 2017. We are located in Engineering A0405C. 

If you have experience in the any of the following topics and/or interested joining our group I encourage you to take my Artificial Intelligence course:

Topics:

• Generative AI, such as Variational Auto Encoders and Diffusion Models

• Model based and model free (deep) reinforcement learning

• Adversarial purification

Details about our research projects can be found here.

Students @ Artificial Intelligence and Robotics Research Lab:

• Jeffrey Thomson (MS): Adversarial Machine Learning with variational auto encoders

• Sriharshitha Ayyalasomayajula (MS): World models with  variational auto encoders

• Steve Willoughby (PhD): Adversarial Machine Learning

• Saba Izadkhah (PhD): Deep Reinforcement learning

• Bahareh Golchin (PhD): Reinforcement learning for anomaly detection

• Shayan Jalalipour(PhD): Adversarial Machine Learning with variational auto encoders

• Sai Sharath Japa (PhD): Chatbot  -> Now @ ATT

Alumni:

• Sameerah Talafha (PhD): Poem Generation with Deep Learning 

• Emilia Zeledon Lostalo (MS): FMRI Brain image analysis with Deep Learning

• Paul Coen (MS): Real time 3D object recognition 

• Mahdi Moradi (MS): Deep learning for operational research

• Charith Atapattu (MS): Generative Adversarial Network in Robotics

• Cameron Niccum (MS): Sentiment Analysis using Tensor2Tensor (Transformer)

• Dmitrii Pianov (MS): Bot Detection with Deep Learning

• Mahesh Ravi (MS): Deep Reinforcement Learning