Ali Ayub – aja5755@psu.edu

News

08/2020 – Our paper on Context-specific online norm learning is accepted as long-form presentation at ICSR 2020 (25% acceptance rate).
08/2020 – Another paper for learning variants of connect four using game theory is accepted at ICSR 2020.
08/2020 – Shorter version of curiosity-based online learning is accepted at IEEE RoMan 2020 (Workshop on Lifelong Learning for Long-term Human-Robot Interaction)
07/2020 – CBCL for RGB-D Indoor Scene Classification is accepted at BMVC 2020 (29.1% acceptance rate).
07/2020 – Our paper on few-shot incremental object learning on a robot is accepted at IEEE IROS 2020 for Oral presentation.
07/2020 – Our paper on pedestrian density based path prediction is accepted at IEEE RoMan 2020.
06/2020 – Shorter version of EEC is accepted at ICML 2020 (Workshop on Lifelong Machine Learning)
06/2020 – Our paper on dialogue policies for learning board games is accepted at SIGDIAL 2020.
05/2020 – Our paper on incremental learning from a few examples is accepted at CVPRW 2020.
12/2019 – Shorter version of our paper on connect four learning through game-theory and demonstrations is accepted at AAAI2020 (Workshop on Intelligent Process Automation).
05/2019 – Our paper on dialog management for learning from demonstrations is accepted at International Conference on Foundations of Digital Games.
08/2018 – Our paper on game-theory based connect-four learning is accepted at ICSR 2018.
11/2017 – Our paper on random jitter elimination is accepted at ICCE 2018.
08/2017 – Started PhD at REAL lab at Penn State.
07/2017 – Graduated with Master of Science at Penn State.
11/2016 – Our paper on multiclass image clustering is accepted at ICCE 2017.
11/2016 – Our paper on random jitter modeling is accepted at ICCE 2017
08/2015 – Started Master of Science in Electrical Engineering at Penn State

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I will be graduating with my PhD from REAL lab at The Pennsylvania State University, under the supervision of Dr. Alan R. Wagner. Before joining Penn State, I completed my undergraduate in Electrical Engineering from University of Engineering and Technology, Lahore. I was also a part of Global UGRAD program funded by USEFP and spent a semester in University of Central Missouri during my undergraduate studies.

My research is highly inspired by neuroscience and focuses on continual concept learning in robots. In particular, I focus on robot learning from a few interactions with humans in a lifelong manner. With respect to applications, my research is applicable in different fields of robotics that require continual learning with limited labeled data via visual inputs, like domestic robots and home service robots. Overall the main purpose of my research is to develop continually learning robots that can adapt to dynamic real-world environments for the benefit of their respective users.

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Bio

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