Medhasree Ghosh

About

Decoding Complexity | Uncovering Truth in Networks

Hi, I'm Medhasree, a researcher on a mission to untangle complex networks with deep learning magic. I'm obsessed with sniffing out anomalies and exposing fraud in social networks, and currently, I'm digging deep into the world of Blockchain Anomalies.

When I'm not geeking out on graph neural networks, I'm probably bridging disciplines, because the best insights live at the intersections. Let's connect and co-create the future of network analysis!

Employment

• University of Oulu
• Indian Institute of Technology Patna

Education

• Indian Institute of Technology Patna

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• CM2VD: Enhancing smart contract vulnerability detection via a contrastive multimodal multiview framework
  Expert Systems with Applications 2027 DOI: 10.1016/j.eswa.2026.133405
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• A Systematic Review on Ethereum Phishing Scam Detection: Challenges, Empirical Insights, and Future Directions
  Blockchain: Research and Applications 2025 DOI: 10.1016/j.bcra.2025.100424
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• TEMPER: Capturing Consistent and Fluctuating TEMPoral User Behaviour for EtheReum Phishing Scam Detection
  2025 DOI: 10.1145/3690624.3709399
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• CATALOG: Exploiting Joint Temporal Dependencies for Enhanced Phishing Detection on Ethereum
  2025 DOI: 10.1145/3696410.3714903
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• SpaTeD: Sparsity-Aware Tensor Decomposition-Based Representation Learning Framework for Phishing Scams Detection
  IEEE Transactions on Computational Social Systems 2025 DOI: 10.1109/TCSS.2024.3462552
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• TREAT: Temporal and Relational Attention-Based Tensor Representation Learning for Ethereum Phishing Users
  IEEE Transactions on Services Computing 2025 DOI: 10.1109/TSC.2025.3568277
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• Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection
  Blockchain: Research and Applications 2023 DOI: 10.1016/j.bcra.2023.100153
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