Scholar
Amit Kumar Jaiswal
Google Scholar ID: wnbd3BYAAAAJ
Indian Institute of Technology (BHU) Varanasi, University College London
Citations & Impact
Citations
2,037
H-index
14
i10-index
16
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Organized an IEEE ICDM 2025 workshop on Graph-Augmented LLMs (GaLM): Bridging Language and Structured Knowledge. Reorganized the DHOW: Diffusion of Harmful Content on Online Web workshop at ACMMM 2025. Served as a program committee member for the 17th ACM Web Science Conference 2025. Guest Editor for a special issue on Advanced technologies as a catalyst for green innovation in the resources and operations management in Resources, Conservation and Recycling (JCR Q1). Co-organized a WebSci'2024 workshop on DHOW: Diffusion of Harmful Content on Online Web Workshop. Full paper titled 'FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas War' accepted in ECIR 2024. Visiting researcher in the Department of Radiology, University of Cambridge under Prof. Tristan Barrett. Program committee member for the SyntheticData4ML and Machine Learning and the Physical Sciences workshops at NeurIPS 2022. Poster titled 'Baseline Prediction of Prostate Cancer Progression on Active Surveillance using Clinical Parameters' accepted.
Research Experience
- Worked as a Research Engineer in the School of Mathematics, Department of Statistics at the University of Leeds, collaborating with Dr. Leonid Bogachev on statistical machine learning approaches for Financial AI projects. Postdoctoral Research Fellow at University College London (UCL), working with Prof. Alexey Zaikin and Dr. Oleg Blyuss on developing statistical machine learning and deep temporal vision models for risk stratification of Prostate cancer progression. Since April 2023, Postdoctoral Research Fellow at the University of Surrey, focusing on applied research at the intersection of Generative AI, Web 3.0, and Blockchain.
Education
- Bachelor's degree in Computer Science from Chhatrapati Shahu Ji Maharaj University (formerly Kanpur University) in India; PhD in Quantum Information Retrieval from the University of Bedfordshire, supervised by Dr. Haiming Liu and Dr. Ingo Frommholz, and was a Marie Skłodowska-Curie fellow within the QUARTZ ITN consortium.
Background
- Research interests include quantum-inspired information retrieval frameworks, user-oriented IR, Information Foraging Theory, formal IR models, quantum probability, and Hilbert space in contextual IR. Also interested in the synergy between machine learning/deep learning and quantum probabilistic frameworks, with applications in finance and healthcare.
Miscellany
- Participated in the Google Summer of Code program and interned with the Linux Foundation, working with the Kubernetes, CNCF, and Openstack teams at the Open Mainframe Project.
