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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
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Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Hamid Mofidi

Hamid Mofidi

     Assistant Professor    
Assistant Professor Hamid Mofidi

Group: Computational Mathematics

Office: A3-4-201

Email: h.mofidi@bimsa.cn

Research Field: Dynamical Systems of Differential Equations

Webpage: https://sites.google.com/view/hamid-mofidi

CV

Research Interest


  • Study of Electrical Diffusions in Ionic Flows
  • Application of GSP theory on Multiple timescale dynamics
  • Nonlinear dynamics of differential equations and bifurcation theory
  • Mathematical neuroscience: Multiple timescale neural dynamics
  • Machine Learning and Neural Networks

Education Experience


  • 2014 - 2020      University of Kansas      Mathematics      Ph.D      (Supervisor: Prof. Weishi Liu)
  • 2008 - 2011      Tarbiat Modares University      Applied Mathematics      Master
  • 2002 - 2006      Amirkabir University of Technology (Tehran Polytechnic)      Pure Mathematics      Bachelor

Work Experience


  • 2022 - 2024      BIMSA      Postdoctoral Fellow
  • 2020 - 2022      University of Iowa      Visiting Assistant Professor

Honors and Awards


  • 2022      Chair's Award for Outstanding Teaching and Scholarship by a Visiting Faculty Member, Department of Mathematics, University of Iowa
  • 2020      Paul F. Conrad Graduate Scholarship, Department of Mathematics, University of Kansas
  • 2019      Travel funding, by Simons Foundation Mathematics and Physical Sciences-Collaboration Grants for Mathematicians to attend a workshop in Chicago
  • 2018      U. G. MITCHELL Graduate Scholarship, Department of Mathematics, University of Kansas
  • 2016      U. G. MITCHELL Graduate Scholarship, Department of Mathematics, University of Kansas
  • 2013      Ranked 8, out of (around) 500 participants, in Iran’s National Graduate Entrance Examination For Ph.D. degree (Konkour)
  • 2008      Ranked 51, out of (more than) 3, 000 participants (top 2%), in Iran’s National Graduate Entrance Examination For Master degree (Konkour)

Publication


  • [1] Hamid Mofidi, New insights into the effects of small permanent charge on ionic flows: A higher order analysis, Mathematical Biosciences and Engineering , 21 (2024), 5 , 6042-6076
  • [2] Hamid Mofidi, Ion Flow Dynamics with Higher-Order Permanent Charge, arXiv(2023)
  • [3] Hamid Mofidi, Bifurcation of Flux Ratio in Ionic Flows via a PNP model, arXiv (2023)
  • [4] W. Liu and H. Mofidi Local Hard-Sphere Poisson-Nernst-Planck Models for Ionic Channels with Permanent Charges. (Submitted) (2022)
  • [5] Y. Fu, W. Liu, H. Mofidi and M. Zhang, Finite ion size effects on ionic flows via PNP systems: Higher order contributions. Journal of Dynamics and Differential Equations, 2022
  • [6] H. Mofidi, Geometric Mean of Concentrations and reversal permanent charge in Ionic Flows via PNP models. Quarterly of Applied Mathematics 79 (4), 581-600 (2021)
  • [7] H. Mofidi, B. Eisenberg, W. Liu, Effects of diffusion coefficients on reversal potentials in ionic channels. Entropy 22 (2020), 325(1-23)
  • [8] H. Mofidi and W. Liu, Reversal potential and reversal permanent charge with unequal diffusion coefficients via PNP models. SIAM J. on Applied Math, 80 (2020), 1908-1935
  • [9] H. Mofidi and F. Hadadifard, Weights guaranteeing polefree barycentric rational interpolation, INDJST, Vol 6(11), 5450-5458, 2013
  • [10] H. Mofidi, Behzad Ghanbari, Mehdi gholami-porshokouhi, A class of iterative methods with cubic convergence to solve nonlinear equations, IJMA, Vol 4(8), 2013, 130-134
  • [11] H. Mofidi, M. Raissi, W. Yang , Studying Multiple Timescale Dynamics via Physics-Informed Neural Network

 

Update Time: 2025-05-20 15:34:26


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