Personal profile
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I am interested in studying the brain's general-purpose learning to develop next-generation AI models that can efficiently learn from multiple tasks.
I co-direct the NeurAI Lab, where we develop Neuro-Inspired AI models capable of efficient learning from multiple tasks. Our primary goal is to conduct fundamental research in deep learning, drawing inspiration from how the brain works and learns, with a focus on continual learning, self-supervised learning, and meta-learning.
At our lab, we train the next generation of AI specialists who can bridge the gap between academia and industry standards, and develop cutting-edge AI technologies resulting in numerous patent applications and publications in top AI and Robotics venues such as ICLR, AAAI, IROS, and ICRA.
In addition, I am a strategic business analyst and executive with expertise in various domains, including smart cities, transportation, autonomous vehicles, mapping, and healthcare. In industry, I have a track record of delivering results, leading and nurturing advanced engineering, AI, and product teams, and building cross-functional consensus.
To learn more, please visit my website:
https://sites.google.com/view/bahramzonooz
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Gowda, S., Arani, E. & Zonooz, B., 15 Apr 2024, arXiv.org, 15 p.Research output: Working paper › Preprint › Academic › peer-review
Open AccessFile10 Downloads (Pure) -
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Gowda, S., Zonooz, B. & Arani, E., 26 Jan 2024, 12 ed., ICLR 2024.Research output: Working paper › Preprint › Academic › peer-review
File82 Downloads (Pure) -
Enhancing performance of vision transformers on small datasets through local inductive bias incorporation
Akkaya, I. B. (Corresponding author), Kathiresan, S. S., Arani, E. & Zonooz, B., Sept 2024, In: Pattern Recognition. 153, 10 p., 110510.Research output: Contribution to journal › Article › Academic › peer-review
24 Link opens in a new tab Citations (Scopus) -
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
Gowda, S., Zonooz, B. & Arani, E., 13 Oct 2023, In: Transactions on Machine Learning Research. 2023, 10, 21 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)15 Downloads (Pure)