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DBLPConstrained nonlinear optimization
Sequential quadratic programming, exact penalty functions, filter and nonmonotone strategies, and convergence analysis for nonlinear programming.
Faculty of Mathematics · K. N. Toosi University of Technology
Hani Ahmadzadeh
Assistant Professor in mathematical optimization and scientific computing.
My work focuses on optimization algorithms, numerical methods, and computational approaches for large-scale problems, with interests extending to AI and data science.
Profile
About
I work on the theory, design, implementation, and numerical evaluation of optimization algorithms, especially for constrained and large-scale nonlinear optimization.
Academic profile
I am an Assistant Professor in the Faculty of Mathematics at K. N. Toosi University of Technology, Tehran. I received my Ph.D. in Mathematical Sciences from Sharif University of Technology. My research covers linear and nonlinear programming, convex and nonconvex optimization, nonsmooth optimization, integer programming, scientific computing, and numerical linear algebra.
My doctoral research concerned inexact nonmonotone sequential quadratic programming algorithms for large-scale nonlinear optimization.
Computational tools
C/C++FORTRANPythonJuliaMATLABSeDuMiCVXCPLEXGAMS
Research
Research themes
My recent publications and broader interests center on reliable and computationally effective methods for continuous and discrete optimization.
Trust-region & line-search methods
Projected models, inexact subproblem solutions, globalization mechanisms, and local convergence behavior for constrained optimization algorithms.
Large-scale numerical optimization
Conjugate-gradient-type methods, matrix computations, numerical linear algebra, and computational techniques for large-scale optimization.
Broader optimization & data science
Convex/nonconvex and nonsmooth optimization, integer programming, scientific computing, and applications of optimization in AI and data science.
Scholarship
Publications
Journal articles
- Convergence analysis and competitive numerical results of a trust region-line search projected exact penalty algorithm
- A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results
- A new class of efficient and globally convergent conjugate gradient methods in the Dai–Liao family
Book chapter / proceedings
- A New Inexact Nonmonotone Filter Sequential Quadratic Programming Algorithm
Conference papers
- An SR1/BFGS Projected Exact Penalty Method for Constrained Nonlinear Optimization
- A Nonmonotone Trust Region-Line Search Exact Penalty Projected Hessian Algorithm for Constrained Nonlinear Optimization
- A Nonmonotone Conjugate Residual SR1-Trust Region-Line Search Algorithm for Large Scale Unconstrained Optimization
- A superlinearly convergent exact penalty method for constrained optimization
- A nonmonotone filter SQP algorithm
- An inexact filter SQP algorithm for nonlinear programming
- A modified secant condition and related conjugate gradient method
Teaching
Teaching & course materials
Featured courseGraduateSemester TBA
Optimization Methods for Data Science
A graduate-level course connecting modern optimization algorithms with data-science models, with emphasis on modeling, first-order and stochastic methods, composite optimization, constrained optimization, and scalable numerical computation.
Recent teaching
Approximation Theory (Graduate)
Mathematical Softwares (Undergraduate)
Advanced Programming (Undergraduate)
Linear Optimization (Undergraduate)
Numerical Methods for Data Sciences
Data Structures (Undergraduate)
Basics of Computer and Programming (Undergraduate)
Earlier courses
Calculus II (Undergraduate)
Convex Optimization (Graduate)
Advanced Numerical Analysis (Graduate)
Numerical Analysis I (Undergraduate)
Advanced Computer Programming (Undergraduate)
Basics of Computer Programming (Undergraduate)
Operations Research I (Undergraduate)
Introduction to Combinatorial Optimization (Undergraduate)
Introduction to Linear Algebra (Undergraduate)
Background
Education & recognition
Academic degrees, thesis topics, international research experience, and selected honors.
Education
Mathematical Sciences
Sharif University of Technology, Tehran, Iran
Thesis: Design and analysis of inexact nonmonotone sequential quadratic programming algorithms for large-scale nonlinear optimization
Applied Mathematics (Operations Research)
K. N. Toosi University of Technology, Tehran, Iran
Thesis: A nonmonotone filter method for nonlinear optimization
Applied Mathematics
K. N. Toosi University of Technology, Tehran, Iran
Thesis: Domination number of cubic graphs
Selected experience & honors
Visiting Researcher
Linköping University, Sweden · June–December 2018
Best Ph.D. Paper in Mathematics
Sharif University of Technology · 2022
National Ph.D. entrance examination
Ranked 2nd among 2,435 participants in Applied Mathematics · 2015
Ranked 1st among Applied and Pure Mathematics B.Sc. students at K. N. Toosi University of Technology (2007–2011).
Ranked 1st among Applied and Pure Mathematics M.Sc. students at K. N. Toosi University of Technology (2011–2014).
Admitted to the M.Sc. program at K. N. Toosi University of Technology as a gifted student (2011).
Ph.D. scholarships from the National Elites Foundation (2015 and 2016).
Contact
Contact
For research, teaching, and academic correspondence, please use my institutional email.
Office
Faculty of Mathematics
Shahid Rezaeinejad Campus
K. N. Toosi University of Technology Blvd.
East Zeinoddin Expressway
Tehran, Iran
Shahid Rezaeinejad Campus
K. N. Toosi University of Technology Blvd.
East Zeinoddin Expressway
Tehran, Iran