Faculty profile
Jie Han
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Research
Latest papers
Inference of epigenetic subnetworks by Bayesian regression with the incorporation of prior information.
Scientific reports · 2022 · senior author
Expression-based analyses indicate a central role for hypoxia in driving tumor plasticity through microenvironment remodeling and chromosomal instability.
NPJ systems biology and applications · 2018
Identification of Potential Drug Targets in Cancer Signaling Pathways using Stochastic Logical Models.
Scientific reports · 2016 · senior author
Latest funding
- $20,000
Power-Efficient Spiking Neural Networks
NSERC · 2022 · Principal investigator
- $180,000
Efficient computing systems for deep learning and combinatorial optimization
NSERC · 2020 · Principal investigator
- $198,000
Approximate and Stochastic Computing Systems
NSERC · 2020 · Principal investigator
7 publications.
Inference of epigenetic subnetworks by Bayesian regression with the incorporation of prior information.
Jing A, Han J
Expression-based analyses indicate a central role for hypoxia in driving tumor plasticity through microenvironment remodeling and chromosomal instability.
Jing A, Vizeacoumar FS, Parameswaran S, Haave B, Cunningham CE, Wu Y, Arnold R, Bonham K, Freywald A, Han J, Vizeacoumar FJ
Identification of Potential Drug Targets in Cancer Signaling Pathways using Stochastic Logical Models.
Zhu P, Aliabadi HM, Uludağ H, Han J
Computing: Naturally random.
Han J
Asynchronous stochastic Boolean networks as gene network models.
Zhu P, Han J
Gene perturbation and intervention in context-sensitive stochastic Boolean networks.
Zhu P, Liang J, Han J
Stochastic Boolean networks: an efficient approach to modeling gene regulatory networks.
Liang J, Han J
Power-Efficient Spiking Neural Networks
Principal investigators: Han, Jie J
Efficient computing systems for deep learning and combinatorial optimization
Principal investigators: Han, Jie J
Approximate and Stochastic Computing Systems
Principal investigators: Han, Jie
Keywords: approximate computing; stochastic computing; neural networks; deep learning; energy efficiency; image processing; neuromorphic computing; machine learning; nanotechnology; gene networks
Low-power and high-performance circuit modules for digital signal processing, wireless communications and deep learning
Principal investigators: Han, Jie
An Integrated Testing System for SKAA
Principal investigators: Han, Jie
Performance Evaluation and Application Development using FPGA-enhanced Cloud Computing Nodes
Principal investigators: Han, Jie
A scalable mobile platform for accessing services of experts in local and global markets
Principal investigators: Han, Jie
Toward Energy-Efficient, Bio-Inspired Circuits and Systems for Error-Resilient and Biomedical Applications
Principal investigators: Han, Jie
Optimized design verification methodology of variation-tolerant Nanoscale systems
Principal investigators: Han, Jie
Improved direction of simulation algorithms for variation-aware circuit design
Principal investigators: Han, Jie
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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