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Welcome to my home page
I am Thummaluru Siddartha Reddy, a senior researcher at graph ML team at Fujitsu Research India Private Limited. I received my Ph.D. from IISc Bangalore. During Ph.D, I was a visiting researcher at ENS Lyon,France.
My research interests lie at the intersection of signal processing and machine learning, with a particular emphasis on representation learning for graphs and simplicial complexes. Currently, I focus on developing graph machine learning methods for multi-agent systems and knowledge graph reasoning, with applications in healthcare and enterprise-scale data.
Recent News:
Our paper title Learning Long Range Spatio-Temporal Representations over Continous Time Dynamic Graphs with State Space Models got accepted at ICML 2026.
Submitted my work on temporal knowledge graph reasoning to NeurIPS 2026.
Received Fujitsu Grand award for the innovation on explainable graph ML algorithm.
Our paper titled Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features got accepted at NeurIPS 2025.
Joined FUJITSU Research India Private Limited (FRIPL) as a senior researcher in the graph ML team.
Our work on Two-view and Multi-view Tensor Canonical Correlation analysis got published at IEEE Transactions on Signal and Information Processing over Networks.
Our work on Clustering with Simplicial Complexes received the student best paper award at EUSIPCO 2023.
Our work on Sampling on Simplicial Complexes got published at IEEE Signal Processing Letters.
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