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Jie Han


Electrical and Computer Engineering
University of Alberta
Canada

Biography

Biography Jie Han received his BSc degree in electronic engineering from Tsinghua University in 1999, and his PhD degree from Delft University of Technology in 2004. He was a NASA INAC (Institute for Nanoelectronics and Computing) Postdoctoral Fellow in the Department of Electrical and Computer Engineering at the University of Florida from 2004 to 2007. From 2007 to 2009, he worked as a Research Scientist at the Advanced Medical Diagnostics SA/BV in Belgium. Dr. Han was named in the “Milestones of Science” for 2003 by the 125th anniversary issue of Science (July 1, 2005, Vol. 309, No. 5731), for developing theory of fault-tolerant nanocircuits. He was nominated for the 2006 Christiaan Huygens Price of Science by the Royal Dutch Academy of Science (Koninklijke Nederlandse Akademie van Wetenschappen (KNAW) Christiaan Huygens Wetenschapsprijs). He is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Association for Computing Machinery (ACM), and the American Society for Engineering Education (ASEE).

Research Interest

Current Research Approximate Computing: Tutorial + Presentation; Adders: Design and Analysis; Multipliers: Design (+ Poster ) and Compressors. Stochastic Computation: Reliability Evaluation (at the logic and transistor levels); Fault Tree Analysis: Priority AND and Spare gates. Gene Networks: Stochastic Boolean Networks, Context-Sensitive Networks, Multiple-Valued Networks, and Asynchronous Networks. Teaching ECE 412 Fault-Tolerant Computing (Winter 2017, Winter 2016, Winter 2015, Winter 2014, Winter 2013, Winter 2012, Winter 2011, Winter 2010) ECE 410 Advanced Digital Logic Design (Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2012, Fall 2011, Fall 2010) ECE 511 Digital ASIC Design ( Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2012 and Fall 2011) ECE 750 Advanced Topics in Micro- and NanoSystems (Winter 2010)

Publications

  • Peican Zhu, Jinghang Liang and Jie Han, "Toward Intracellular Delivery and Drug Discovery: Stochastic Logic Networks as Efficient Computational Models for Gene Regulatory Networks," a chapter in Intracellular Delivery II, Fundamental Biomedical Technologies, Volume 7, 2014, pp 327-359. Springer Netherlands: Dordrecht

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