Ahsan Z Rizvi

About

Ahsan Z Rizvi received an M.Tech in BioElectronics from Tezpur University, India, and a Ph.D. in Electronics Engineering from the Defence Institute of Advanced Technology, India. He worked as a postdoctoral fellow at the Indian Institute of Technology-Indore, India; Laboratoire des Symbioses Tropicales et Méditerranéennes, France; and Institut Gustave Roussy, France. He was an assistant professor at the Institute of Advanced Research in India. He works as a bioinformatician at the Umeå Plant Science Centre, Swedish University of Agricultural Sciences, Sweden.

Employment

• Institut Gustave-Roussy PostDoc
• Umeå Plant Science Centre Bioinformatician
• Indian Institute of Advanced Research Assistant Professor

Education

• Tezpur University M Tech in BioElectronics
• Defence Institute of Advanced Technology PhD in Electronics Engineering

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• A Multi-Layer Deep Graph Attention Model for Decoding lncRNA-miRNA-mRNA Communication Networks
  IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2026 DOI: 10.1109/TMBMC.2026.3720579
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• A Novel Kernel-Based Hilbert Space Framework for Predictive Modeling of lncRNA-miRNA-Disease Interaction Networks
  IEEE Transactions on Computational Biology and Bioinformatics 2025 DOI: 10.1109/TCBBIO.2025.3598013
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• Stacked Graph Attention Network With Temporal Modeling for lncRNA-miRNA Association Network
  IEEE Transactions on Computational Biology and Bioinformatics 2025 DOI: 10.1109/TCBBIO.2025.3587877
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• Analysis of Abnormality in Heart Rhythm Using Machine Learning Approach
  2024 ITU Kaleidoscope: Innovation and Digital Transformation for a Sustainable World (ITU K) 2024 DOI: 10.23919/ituk62727.2024.10772894
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• Comparative Study for Performance Analysis of Machine Learning Algorithms for Survival of COPD Patients
  2024 21st Learning and Technology Conference (L&T) 2024 DOI: 10.1109/lt60077.2024.10469286
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• ANALYSIS OF ABNORMALITY IN HEART RHYTHM USING MACHINE LEARNING APPROACH
  Itu Kaleidoscope: Innovation and Digital Transformation for a Sustainable World, Itu K 2024
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• Feature Extraction Using Naive Bayes and Logistic Regression for Survival of the COPD Patients
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-68617-7_2
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• Signal Restoration with Fractional Transform Sparse Representation and Autoencoder
  2023 9th International Conference on Computer and Communication Engineering (ICCCE) 2023 DOI: 10.1109/iccce58854.2023.10246107
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• Construction of wavelet using M-estimation and its Application in R-peak detection*
  2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) 2023 DOI: 10.1109/reedcon57544.2023.10151449
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• Diverse Resistance Mechanisms to the Third-Generation ALK Inhibitor Lorlatinib in ALK-Rearranged Lung Cancer
  Clinical Cancer Research 2020 DOI: 10.1158/1078-0432.CCR-19-1104
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