Department of Mathematics

Department of Mathematics

The Mathematics Department is dedicated to being a nucleus of research in diverse fields from basic research to the most innovative and emerging applied technologies, and to providing quality instructions in mathematics and fundamentals.

The Mathematics Department is a unit within the College of Arts and Science at Khalifa University and hosts a vibrant community of scholars who actively engage in research and development within rapidly emerging scientific fields. Research in the Mathematics Department is funded by local and international agencies. The department is actively working on setting up and developing modern experimental and computing research facilities.

The department offers a BSc in Applied Mathematics and Statistics with two optional concentrations in Financial Mathematics and Mathematical Biology. Students may choose to complete a broad program of study leading to the award of the BSc degree in Applied Mathematics and Statistics, or select one of the two concentrations in order to focus their final year in the program on a particular area of application.

Mathematics Department faculty are members of prestigious worldwide professional organizations such as ACS, AMS, APS, IEEE, MRS, SIAM, AAPT and others, and several are winners of prestigious peer-reviewed research awards. The department is committed to disseminating mathematical knowledge through innovative teaching, excellence in research and friendly learning environment

The BSc in Applied Mathematics and Statistics program offers training in mathematical problem-solving techniques with a reduced emphasis on abstract theory. The program is tailored to the student who will need to apply mathematical, statistical, and computational methods to practical problems.

Applied mathematics includes the theoretical portions of physics, chemistry, biomedicine, engineering, economics, finance, and a wide variety of other disciplines. Recent advances in computing technology have made the use of quantitative methods of even greater importance in these disciplines.

Prospects for employment opportunities for graduates in the mathematical and statistical sciences are excellent. There is a growing demand for professional mathematicians and statisticians in almost every sector of the job market, including the engineering and telecommunications industries; computer services and software development; actuarial and financial services; pharmaceutical industry and medical services; market research agencies; government laboratories and the military services; as well as academics and teaching.

Program Objectives

  • Graduates will meet the expectations of employers of applied mathematicians and statisticians.
  • Qualified graduates will pursue advanced study if they so desire.

Student Outcomes

Students graduating with a BSc in Applied Mathematics and Statistics will attain the following

  • An ability to apply knowledge of mathematics, statistics and computing
  • An ability to design statistical experiments, as well as to analyze and interpret data.
  • An ability to read, understand and construct mathematical and statistical proofs.
  • An ability to function on a multi-disciplinary team as a member or leader.
  • An ability to formulate, and to solve, mathematical models of real-world problems.
  • An understanding of professional and ethical responsibility.
  • An ability to communicate effectively.
  • The broad education necessary to understand the strengths and limitations of mathematical and statistical models, and their solutions, in a global and societal context.
  • A recognition of the need for, and an ability to engage in, life-long learning.
  • A knowledge of contemporary issues.
  • An ability to select, and use, appropriate software packages and/or computer programming to solve mathematical models.
  • Familiarity with, and use of, sources of current research and an understanding of how new knowledge is generated.

Career Opportunities

BSc in Applied Mathematics and Statistics – Base Concentration

Students in Applied Mathematics and Statistics complete their undergraduate education with superior analytical and problem-solving skills, a rare and highly-valued commodity in today’s job market. Graduates work in industry, business, research laboratories, or government agencies as applied mathematicians and statisticians. Some graduates work in education, and some will continue their education in graduate programs in applied mathematics, statistics, or areas of application.

BSc in Applied Mathematics and Statistics – Financial Mathematics Concentration

In the banking and financial investment industries there are many, highly-paid, positions for suitably qualified analysts in portfolio optimization, option pricing, stock market prediction, loan risk management and currency trading. In the insurance industry, actuaries model the risks and potential returns associated with life insurance, pensions and private healthcare programs.

BSc in Applied Mathematics and Statistics – Mathematical Biology Concentration

The biotechnology and health industries are currently providing an increasing number of positions, especially in the field of biostatistics. There are also many employment opportunities in the fields of agricultural and food science, biomedical engineering, marine biology, pharmacy, environmental modeling and meteorology.

To be recommended for the degree of BSc in Applied Mathematics and Statistics, students must satisfactorily complete the courses in the specified categories as set out below. The categories cover an extended set of requirements, including the Applied Mathematics and Statistics core and Technical Electives requirements. The normal length of the program is 140 credits.

Degree Requirements

To be recommended for the degree of BSc in Applied Mathematics and Statistics, students must satisfactorily complete the courses in the specified categories as set out below. The categories cover the University General Education Requirements and the Applied Mathematics and Statistics core and Technical Electives requirements. The normal length of the undergraduate BSc in Applied Mathematics and Statistics program is 134 credits, comprising 43 credits of University General Education Requirements (GER) and 91 credits of specific Major requirements.

University General Education Requirements (GER)

  1. English Communication (8 credits)
ENGL111 English Communication I 4 cr.
ENGL112 English Communication II 4 cr.
  1. Mathematics and Sciences (20 credits)
MATH111 Calculus I 4 cr.
MATH112 Calculus II 4 cr.
CHEM115 Introduction to General Chemistry for Engineers 4 cr.
PHYS121 University Physics I 4 cr.
PHYS122 University Physics II 4 cr.
  1. Business Studies (6 credits)

Two, three-credit, courses in Business Studies are required for all students, and one of these courses must be BUSS322 Innovation and Private Enterprise in Science.

  1. Humanities and Social Sciences (9 credits)

Three, three-credit, courses in Humanities and Social Sciences are required for all students.

Applied Mathematics and Statistics Requirements

  1. Additional Science, Computing and Business Requirements (10 credits)

Students must take the following three courses

Course Code Course Title Credit Hours
BIOL101 Fundamentals of Biology 3 cr.
ENGR113 Introduction to Computing using Matlab 4 cr.
BUSS201 Fundamentals of Accounting and Finance 3 cr.
  1. Science/Engineering Electives (12 credits)

Students can choose from the following list to satisfy their Science/Engineering Elective requirements for Applied Mathematics and Statistics.

Course Code Course Title Credit
BMED202 Biomedical Engineering Fundamentals 4 cr.
BMED211 Physiological Systems and Modeling I 4 cr.
BMED212 Physiological Systems and Modeling II 4 cr.
CHEM211 Organic Chemistry 4 cr.
CHEM311 Biochemistry 4 cr.
ECCE230 Object-Oriented Programming 3 cr.
ENGR200 Statics 3 cr.
ISYE331 Stochastic Processes 3 cr.
ISYE341 Simulation Analysis and Design 4 cr.
ISYE351 Production, Operations and Inventory Management 3 cr.
ISYE430 Supply Chain and Logistics 3 cr.
ISYE431 Forecasting and Time Series 3 cr.
ISYE441 Advanced Simulation 4 cr.
ISYE480 Financial Engineering 3 cr.
MECH201 Engineering Dynamics 3 cr.
MECH225 Mechanics of Solids 4 cr.
MECH240 Thermodynamics 3 cr.
MECH335 Fluid Dynamics 4 cr.
  1. Applied Mathematics and Statistics Core Requirements (54 credits)
Course Code Course Title Credit
MATH231 Calculus III 3 cr.
MATH204 Linear Algebra 3 cr.
MATH206 Differential Equations 3 cr.
MATH243 Probability and Statistical Inference 3 cr.
ISYE251 Operations Research I 4 cr.
MATH214 Mathematical and Statistical Software 3 cr.
MATH352 Elementary Theory and Applications of Functions of a Complex Variable 3 cr.
MATH314 Real Analysis and Probability 4 cr.
MATH315 Advanced Linear Algebra 3 cr.
MATH316 Partial Differential Equations 3 cr.
MATH317 Nonparametric Statistics 3 cr.
MATH318 Multivariate Statistics 3 cr.
MATH319 Numerical Analysis I 3 cr.
MATH399 Internship 1 cr.
MATH412 Optimization 3 cr.
MATH419 Numerical Analysis II 3 cr.
MATH450 Senior Project I 3 cr.
MATH451 Senior Project II 3 cr.

Applied Mathematics and Statistics Technical Electives (15 credits)

To satisfy the BSc in Applied Mathematics and Statistics Technical Elective requirement, students must take courses from the following list. Students may be allowed to choose technical electives from the Financial Mathematics concentration and Mathematical Biology concentration with department approval.

Course Code Course Title Credit
MATH411 Modern Algebra 3 cr.
MATH413 Game Theory 3 cr.
MATH414 Discrete Mathematics 3 cr.
MATH415 Design of Experiments 3 cr.
MATH416 Sample Survey Design and Analysis 3 cr.

Applied Mathematics and Statistics – Financial Mathematics (Concentration)

Students may select a Financial Mathematics Concentration before selecting the Science/Engineering Electives. A concentration at the Khalifa University of Science and Technology leads to a specialized award or degree and will be specified on the diploma and the student’s academic record.

The Financial Mathematics concentration requires the student to select BUSS150 as their Business Elective and ISYE480 from the list of Science/Engineering Electives and replace all technical electives with the following five courses.

Course Code Course Title Credit
MATH421 Econometrics 3 cr.
MATH422 Stochastic Differential Equations 3 cr.
MATH423 Financial Risk Analysis 3 cr.
MATH424 Optimal Control Theory 3 cr.
MATH425 Financial Portfolio Management 3 cr.

Applied Mathematics and Statistics – Mathematical Biology (Concentration)

Students may select a Mathematical Biology Concentration before selecting their Science/Engineering Electives. The Mathematical Biology concentration requires the student to select BMED202, BMED211 from the list of Science/Engineering Electives and replace all technical electives with the following five courses.

Course Code Course Title Credit
MATH431 Computational Methods in Biology 3 cr.
MATH432 Mathematical Models in Biology 3 cr.
MATH433 Biostatistics 3 cr.
MATH434 Bioinformatics 3 cr.
MATH435 Mathematical Imaging 3 cr.

Academic Faculty

Rachad Zaki

Assistant Professor

Faisal Shah Khan

Assistant Professor

Joel Lucero-Bryan

Assistant Professor

Samuel Feng

Assistant Professor

Anoop Sivasankaran

Assistant Professor

Waldo Arriagada Silva

Assistant Professor

Zanin Kavazovic

Assistant Professor

Oluwaseun Sharomi

Assistant Professor

Mohamed Kamel Riahi

Assistant Professor

Jianyi Lin

Assistant Professor

Mohammad Al Khaleel

Assistant Professor

Abdullahi Umar

Assistant Professor

Alip Mohammed

Assistant Professor

Alrazi Abdeljabbar

Assistant Professor

David Allison

Assistant Professor

Davide Batic

Assistant Professor

Fawaz Hjouj

Assistant Professor

Gary Miller

Assistant Professor

Mohamed Soufiane Jouini

Assistant Professor

Ryan Fernandes

Assistant Professor

Khaled Dib

Assistant Professor

Robert Bennell

Assistant Professor

Mohd Halim Shariff

Interim Chair of Mathematics

Andriy Didenko

Associate Chair

Lecturers

Mo’tassem Al-Arydah

Senior lecturer

Ahmed Ameur

Lecturer

Denis Blouin

Math Lecturer

John Clark

Mathematics Lecturer

Neville Martin

Lecturer

Mariam Helal Al Hanai

Lecturer

Nadia Nwayhed

Math Lecturer

Samira Stitou

Lecturer

The following is a typical study sequence for a student enrolled BSc in Applied Mathematics and Statistics

BSc in Applied Mathematics and Statistics – Base Concentration

Year 1 ENGL111 English Communication I 4 cr. ENGL112 English Communication II 4 cr.
MATH111 Calculus I 4 cr. MATH112 Calculus II 4 cr.
CHEM115 Introduction to General Chemistry for Engineers 4 cr. PHYS121 University Physics I 4 cr.
BIOL101 Fundamentals of Biology 3 cr. ENGR113 Introduction to Computing using Matlab 4 cr.
Summer HUMAXXX Humanities and Social Sciences 3 cr.
Year 2 MATH231 Calculus III 3 cr. MATH352 Elementary Theory and Applications of Functions of a Complex Variable 3 cr.
MATH204 Linear Algebra 3 cr. MATH206 Differential Equations 3 cr.
MATH243 Probability and Statistical Inference 3 cr. ISYE251 Operations Research I 4 cr.
PHYS122 University Physics II 4 cr. BUSS201 Fundamentals of Accounting and Finance 3 cr.
HUMAXXX Humanities and Social Sciences 3 cr. MATH214 Mathematical and Statistical Software 3 cr.
Summer HUMAXXX Humanities and Social Sciences 3 cr.
Year 3 MATH314 Real Analysis and Probability 4 cr. MATH316 Partial Differential Equations 3 cr.
MATH315 Advanced Linear Algebra 3 cr. MATH317 Nonparametric Statistics 3 cr.
MATH318 Multivariate Statistics 3 cr. MATH319 Numerical Analysis I 3 cr.
Science/Engineering Elective 4 cr. Science/Engineering Elective 4 cr.
BUSSXXX Business Elective 3 cr. Science/Engineering Elective 4 cr.
Summer MATH399 Internship 1 cr.
Year 4 BUSS322 Innovation and Private Enterprise in Science 3 cr. MATH413 Game Theory 3 cr.
MATH419 Numerical Analysis II 3 cr. MATH414 Discrete Mathematics 3 cr.
MATH412 Optimization 3 cr. MATH415 Design of Experiments 3 cr.
MATH411 Modern Algebra 3 cr. MATH416 Sample Survey Design and Analysis 3 cr.
MATH450 Senior Project I 3 cr. MATH451 Senior Project II 3 cr.

 

BSc in Applied Mathematics and Statistics – Financial Mathematics Concentration

Year 1 ENGL111 English Communication I 4 cr. ENGL112 English Communication II 4 cr.
MATH111 Calculus I 4 cr. MATH112 Calculus II 4 cr.
CHEM115 Introduction to General Chemistry for Engineers 4 cr. PHYS121 University Physics I 4 cr.
BIOL101 Fundamentals of Biology 3 cr. ENGR113 Introduction to Computing using Matlab 4 cr.
Summer HUMAXXX Humanities and Social Sciences 3 cr.
Year 2 MATH231 Calculus III 3 cr. MATH352 Elementary Theory and Applications of Functions of a Complex Variable 3 cr.
MATH204 Linear Algebra 3 cr. MATH206 Differential Equations 3 cr.
MATH243 Probability and Statistical Inference 3 cr. ISYE251 Operations Research I 4 cr.
PHYS122 University Physics II 4 cr. BUSS201 Fundamentals of Accounting and Finance 3 cr.
HUMAXXX Humanities and Social Sciences 3 cr. MATH214 Mathematical and Statistical Software 3 cr.
Summer HUMAXXX Humanities and Social Sciences 3 cr.
Year 3 MATH314 Real Analysis and Probability 4 cr. MATH316 Partial Differential Equations 3 cr.
MATH315 Advanced Linear Algebra 3 cr. MATH317 Nonparametric Statistics 3 cr.
MATH318 Multivariate Statistics 3 cr. MATH319 Numerical Analysis I 3 cr.
Science/Engineering Elective 4 cr. Science/Engineering Elective 4 cr.
BUSS150 Introduction to Economics 3 cr. ISYE480 Financial Engineering 3 cr.
Summer MATH399 Internship 1 cr.
Year 4 BUSS322 Innovation and Private Enterprise in Science 3 cr. MATH422 Stochastic Differential Equations 3 cr.
MATH419 Numerical Analysis II 3 cr. MATH423 Financial Risk Analysis 3 cr.
MATH412 Optimization 3 cr. MATH424 Optimal Control Theory 3 cr.
MATH421 Econometrics 3 cr. MATH425 Financial Portfolio Management 3 cr.
MATH450 Senior Project I 3 cr. MATH451 Senior Project II 3 cr.

 

BSc in Applied Mathematics and Statistics – Mathematical Biology Concentration

Year 1 ENGL111 English Communication I 4 cr. ENGL112 English Communication II 4 cr.
MATH111 Calculus I 4 cr. MATH112 Calculus II 4 cr.
CHEM115 Introduction to General Chemistry for Engineers 4 cr. PHYS121 University Physics I 4 cr.
BIOL101 Fundamentals of Biology 3 cr. ENGR113 Introduction to Computing using Matlab 4 cr.
Summer HUMAXXX Humanities and Social Sciences 3 cr.
Year 2 MATH231 Calculus III 3 cr. MATH352 Elementary Theory and Applications of Functions of a Complex Variable 3 cr.
MATH204 Linear Algebra 3 cr. MATH206 Differential Equations 3 cr.
MATH243 Probability and Statistical Inference 3 cr. ISYE251 Operations Research I 4 cr.
PHYS122 University Physics II 4 cr. BUSS201 Fundamentals of Accounting and Finance 3 cr.
HUMAXXX Humanities and Social Sciences 3 cr. MATH214 Mathematical and Statistical Software 3 cr.
Summer HUMAXXX Humanities and Social Sciences 3 cr.
Year 3 MATH314 Real Analysis and Probability 4 cr. MATH316 Partial Differential Equations 3 cr.
MATH315 Advanced Linear Algebra 3 cr. MATH317 Nonparametric Statistics 3 cr.
MATH318 Multivariate Statistics 3 cr. MATH319 Numerical Analysis I 3 cr.
BMED202 Biomedical Engineering Fundamentals 4 cr. BMED211 Physiological Systems and Modeling 4 cr.
BUSSXXX Business Elective 3 cr. Science/Engineering Elective 4 cr.
Summer MATH399 Internship 1 cr.
Year 4 BUSS322 Innovation and Private Enterprise in Science 3 cr. MATH432 Mathematical Models in Biology 3 cr.
MATH419 Numerical Analysis II 3 cr. MATH433 Biostatistics 3 cr.
MATH412 Optimization 3 cr. MATH434 Bioinformatics 3 cr.
MATH431 Computational Methods in Biology 3 cr. MATH435 Mathematical Imaging 3 cr.
MATH450 Senior Project I 3 cr. MATH451 Senior Project II 3 cr.

Research in the Mathematics Department is funded by local and international agencies and the department is actively working to setting up and developing modern experimental and computing research facilities. Mathematics Department faculty are members of prestigious world-wide professional organizations such as ACS, AMS, APS, IEEE, MRS, SIAM, AAPT and others, and several are winners of prestigious peer-reviewed research awards.

Research interests of the Mathematics Department faculty are as follows:

Faculty Member Research Areas
Dr. Robert Bennell
  • Algorithms for practical approximation of curves and surfaces
Dr. Faisal Shah Khan
  • Quantum Information and Communication Technology (Q-ICT)
  • Non-cooperative Game Theory
  • Categorical Reasoning in Quantum Physics and General Relativity
Dr. Rachad Zaki
  • Homogenization
  • Perforated domains
  • Multiple scales
  • Partial differential equations
Dr. Joel Gregory Lucero-Bryan
  • Modal Logic
  • General Topology
  • Relational Structures
Dr. Mohd Shariff
  • Elasticity
  • Continuum Modelling,
  • Damage Mechanics
  • Finite Element
  • Numerical Methods (including large scale computing/parallel computing),
  • Application of AI in Metal Forming
  • Optimization Methods,
  • Digital Phase Locked Loop.
Dr. Samuel Feng
  • Stochastic processes in modeling and understanding decision making
  • Large scale computation
  • Limitations on artificial and human intelligence
Dr. Anoop Sivasankaran
  • Celestial Mechanics
  • Dynamical Systems
  • Gravitational few-body problems
Dr. Waldo Arriagada
  • Dynamical Systems and ODE’s
  • Complex Geometry
Dr. Oluwaseun Sharomi
  • Mathematical Modeling: Epidemiology (HIV, Chlamydia, Tuberculosis, H1N1)
  • High Performance Computing (Parallel Computing)
  • Problem Solving Environment (PSE)
  • Heart Simulation
Dr. Gary Miller
  • Multilinear Algebra
  • Symmetry methods, Integrating factors, and Conversation lows for differential equations
  • Finsler Geometry
Dr. Fawaz Hjouj
  • Numerical Methods
  • Radon Transform and Tomography
Dr. Davide Batic
  • General Relativity/Differential Geometry
  • Quantum Field Theory in curved space-times
  • Spectral theory of Schrödinger, Dirac and Klein-Gordon operators
  • Complex differential equations
  • Electromagnetic levitation
Dr. Alip Mohammed
  • Functions of a complex variables
  • Several complex variables and analytic spaces
  • Partial differential equations
  • Operations research, Mathematical programming
Dr. Mohamed Kamel RIAHI
  • Partial Differential Equations: Finite element methods, Finite difference methods, Integral equations, Numerical Analysis
  • Mathematical physics: Reaction diffusion systems, Fluid-structure interaction, Heat and Mass Transfer, Computational fluid dynamics, Acoustic wave propagation, Electromagnetism & Eddy-current
  • Robust solver:  Domain decomposition method, Parareal in time method, High performance computing, Parallel programming
  • Optimization and Inverse problems: Optimal Control, Shape optimization, Parameters Estimation
Dr. Mohamed Soufiane Jouini
  • Image processing
  • Digital Rock Physics and porous media
Dr. Zanin Kavazovic
  • Mathematical Modeling : Heat and Mass Transfer; Hot Pressing of Wood-based Panels; Drying and Deformation of Wooden Boards;
  • Finite Element Method
Dr. Andriy Didenko
  • Mathematical educations
  • Integro-differential equations of fractional order
  • Integral transforms
  • Functional analysis
Dr. Mohammad Al-Khaleel
  • Numerical Solutions; high performance computations and efficient numerical algorithms for Differential Equations (parallel and sequential)
  • Circuit Simulations and Computer Arithmetic
  • Functional Analysis and Fixed Point Theory
Dr. Jianyi Lin
  • Computational complexity of geometric clustering
  • Sparse representation techniques
  • Computational methods for bioinformatics
  • Stochastic models for pattern statistics
  • Machine learning
Dr. Abdullahi Umar
  • Algebraic Semigroup Theory
  • Discrete Mathematics
Dr. Ryan I. Fernandes
  • Numerical Analysis
  • Numerical Solution of Partial Differential Equations
  • Scientific Computing Applications

New to site? Create an Account


Login

Lost password? (close)

Already have an account? Login


Signup

(close)