News:

• 11/2023: One paper has been accepted to the IEEE ISM 2023.

• 10/2023: A prestigious grant from medical research foundation grant has been awarded!!

• 06/2023: Portland State University Faculty Development grant has been awarded!

• 06/2023: Five papers have been accepted to IEEE TransAI 2023.

• 05/2023: A journal paper has been accepted to Computers & Graphics journal [Impact factor: 2.5]

• 04/2023: A journal paper has been accepted to GIScience & Remote Sensing [Impact Factor: 6.7]

• 03/2023: Diversity President's Mini-Grant, Portland State University has been awarded!

• 02/2023: One paper has been accepted to the The International Conference on Deep Learning, Big Data and Blockchain.

• 11/2022: A journal paper has been accepted to the Journal of Intelligent Information Systems.

• Lots of papers have been accepted and published during 2021 and 2022. I will add those updates here soon.

• 04/2021: My undergraduate student won the high prestigious SIU REACH award!

• 03/2021: I have received a grant from Substance Abuse and Mental Health Services Administration (SAMHSA) (Subaward from University of Alabama).

• 03/2021: I serve as a session chair in HRI 2021.

• 02/2021: I joined the program committee of the 2021 International Symposium on Visual Computing (ISVC'21).

• 01/2021: One paper has been accepted in IEEE Conference on Virtual Reality and 3D User Interfaces (EEE VR 2021)!

• 01/2021: We are organizing the Semantic Machine Learning workshop, to be held in conjunction with the 15th IEEE International Conference on Semantic Computing (Jan 28-29, 2021).

• 12/2020: I have served as a program committee for HRI 2020.

• 12/2020: Two papers have been accepted in ICSC 2021.

• 09/2020: Two papers have been accepted in ISVC 2020.

• 03/2020: An NSF grant has been awarded from NSF GSS program!

• 01/2020: One paper got accepted in IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2020)!

• 01/2020: One paper got accepted in ICRA 2020- International Conference on Robotics and Automation.

• 01/2020: We are organizing the Semantic Machine Learning workshop, to be held in conjunction with the 14th IEEE International Conference on Semantic Computing, Feb 3-5, 2020.

• 01/2020: I joined the program committee of the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020).

• 01/2020: I joined the program committee of the 2020 International Symposium on Visual Computing (ISVC'20).

• 12/2019: One paper got accepted in IEEE ICSC 2020 [Acceptance rate: 23%].

• 09/2019: I joined the program committee of the 2019 AAAI Fall Symposium on AI for Social Good. 

• 08/2019: One paper got accepted in EuroVR 2019.

• 06/2019: One paper got accepted in IEEE INDIN 2019.

• 04/2019: I joined the organizing committee of the First IEEE International conference on Humanized Computing and Communication (HCC 2019).

• 04/2019: I served as a discussant/commentator in the SLAMM! 2019 @ SIU.

• 03/2019: I joined the program committee of the 2019 International Symposium on Visual Computing (ISVC'19).

• 03/2019: One paper got accepted in IJCNN 2019 [H Index: 31].

• 02/2019: Two papers (one full and one poster) got accepted in IEEE VR 2019 [Acceptance rate: 20%]!

• 02/2019: I served as an Invited panelist for the Fifth International Workshop on Semantic Machine Learning, ICSC 2019.

• 02/2019: Gave a talk at ICSC 2019 Conference.

• 12/2018: Two papers got accepted in IEEE ICSC 2019 [Acceptance rate: 24.79%].

• 11/2018: I will serve in the program committee of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA 2019). 

• 11/2018: Gave a talk at 2018 ITSC Conference.

• 07/2018: A full paper is accepted to IEEE ITSC 2018 [H Index: 57].

• 05/2018: A paper is accepted to Neurocomputing Journal [IF: 3.317].

• 04/2018: Gave a talk at SIU on "current state of deep learning"

• 03/2018: Gave a talk at 2018 HRI Conference. 

• 12/2017: A single-author paper is accepted to 2018 HRI Conference [H Index: 35].

• 01/2017: A full paper is accepted to 2017 GameNets Conference.

• 11/2016: A full paper is accepted to 2016 Humanoid Robotics Conference [H Index: 26]. 

• 07/2016: Gave a talk at 2016 IJCAI Conference. 

• 07/2016: A paper is accepted to 2016 IJCAI Conference [H Index: 61]. 

• 04/2016: A paper is accepted to Neural Computing and Application Journal [IF: 4.213].

• 05/2016: Gave a talk at 2016 RSS Conference.

• 05/2016: Two papers accepted to 2016 RSS Conference [H Index: 40].

Research: 

• Reinforcement Learning

• Generative AI (VAE, Diffusion Models)

• Machine Learning/Deep Learning

• Insider Threat detection, Adversarial Attacks and defense

Teaching:

• (Deep) Reinforcement Learning

• Deep Learning/Machine Learning

• Algorithm Design and Analysis 

Graduate 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): Video Generation with Deep Learning -> Now @ vectech

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

• Paul Coen (MS): Real time 3D object recognition and prediction using RNN

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

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

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

• Mahesh Ravi (MS): Deep Reinforcement Learning