Dhanajit Brahma

I am Dhanajit, a postdoctoral associate at Duke University, where I work under the supervision of Prof. Ricardo Henao.

I completed my Ph.D. in Computer Science and Engineering at IIT Kanpur under the guidance of Prof. Piyush Rai, whose mentorship greatly strengthened my research skills and deepened my expertise.

I have also worked as a research consultant at KAUST.

My current research interests focus on developing algorithms for causal inference as well as advancing methodologies in machine learning more broadly.

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News

[October 2024] Joined Duke University as a Postdoctoral Associate working under Prof. Ricardo Henao.
[09 February 2024] Invited to ACM India ARCS/Annual Event 2024 at NISER, Bhubaneswar, to present our paper titled "A Probabilistic Framework for Lifelong Test-Time Adaptation".
[20 June 2023] I presented our paper "A Probabilistic Framework for Lifelong Test-Time Adaptation" at CVPR 2023, Vancouver, Canada.
[25 May 2023] I received Google Travel Grant for presenting our paper "A Probabilistic Framework for Lifelong Test-Time Adaptation" at CVPR 2023.
[27 February 2023] Our paper, "A Probabilistic Framework for Lifelong Test-Time Adaptation" has been accepted by CVPR 2023.
[02 October 2021] Our paper titled "Fine-Grained Emotion Prediction by Modeling Emotion Definitions" received the Best Student Paper award in ACII 2021.
[19 August 2021] I presented our work virtually at the CSSL workshop, IJCAI 2021. The video of the presentation is available here.
[21 July 2021] Our paper, "Hypernetworks for Continual Semi-Supervised Learning" received the Best Student Paper award at the CSSL workshop, IJCAI 2021.
[28 June 2020] Our team (my thesis supervisor and me) is one of the winners of Qualcomm Innovation Fellowship 2020 for the innovation titled "Continual Semi-Supervised Multi-Objective Learning".
[02 February 2020] I presented our work on "Zero-shot learning" in AAAI 2020, New York, USA.
[November 2019] Our paper titled "Meta-learning for generalized zero-shot learning" has been accepted by AAAI 2020.
[November 2019] Our paper titled "Deep Attentive Ranking Networks for Learning to Order Sentences" has been accepted by AAAI 2020.

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