Department of Mathematics

Department of Mathematics

The Applied Mathematics and Sciences (AMS) 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 instruction in mathematics, and fundamental and applied natural sciences. 

The AMS department is a unit within the College of 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 AMS 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. 

AMS 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. 

The department offers a B.Sc. program in Applied Mathematics & 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 a B.Sc. degree in Applied Mathematics & Statistics, or select one of the two concentrations in order to focus their final year in the program on a particular area of application.

B.Sc. in Applied Mathematics and Statistics (with optional concentration in Mathematical Biology or Financial Mathematics)

The B.Sc. in Applied Mathematics & Statistics graduates students who possess both the knowledge and skills to make an immediate contribution towards realization of the economic and educational aspirations for Abu Dhabi, defined in the Abu Dhabi Economic Vision 2030.

The concentration in Mathematical Biology helps students gain expertise in mathematical thinking related to biomedical systems and medicine.

The concentration in Mathematical Finance aims to provide training in the application of engineering methodologies and quantitative skills in finance.

Faculty at the AMS department are dedicated to innovative and interactive teaching methods, and have helped launch modern teaching methods and courses, both within and outside the AMS Department, such as:

  • Collaborative Workshop Physics
  • Freshmen Engineering Design
  • Innovation and Entrepreneurship
  • Senior Engineering Design
  • Game-based Chemistry Learning

In addition, the Department of AMS offers assistance to the Peparatory Program that aims to bridge the difficulties faced by UAE high school graduates when they enroll in college.

Academic Faculty

Rachad Zaki

Assistant Professor

Faisal Shah Khan

Assistant Professor

Joel Lucero-Bryan

Assistant Professor
  02- 5018565

Samuel Feng

Assistant Professor  

Anoop Sivasankaran

Assistant Professor
  02 5018443

Waldo Arriagada Silva

Assistant Professor  

Zanin Kavazovic

Assistant Professor

Oluwaseun Sharomi

  Assistant Professor

Mohamed Kamel Riahi

Assistant Professor

Jianyi Lin

Math & Stats
  Assistant Professor

Mohammad Al Khaleel

  Assistant Professor

Abdullahi Umar

  Associate 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
  02607 5620

Mohamed Soufiane Jouini

Assistant Professor

Ryan Fernandes

  Associate Professor
  02 607 5274

Khaled Dib

  Assistant Prof

Robert Bennell

Interim Associate Dean of UG Studies


Mohd Halim Shariff

Interim Chair of Mathematics


Andriy Didenko

Associate Chair


Mo’tassem Al-Arydah

Senior lecturer 

Ahmed Ameur


  971 2 607 5648

Denis Blouin

Math Lecturer
02-6075342 (PI)

John Clark

Mathematics Lecturer


Neville Martin


  02 675347

Mariam Helal Al Hanai



Nadia Nwayhed

Math Lecturer 


Samira Stitou



Research in the AMS 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. AMS 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.

Quantum Computing Research Group

The Quantum Computing Research Group (QCRG) is a multi-disciplinary research effort into the theory and the practical development of quantum computers and their innovative technological applications. The Group includes several Applied Mathematics and Sciences staff. You can read more about it on the QSRG web page

Research interests of the AMS faculty are as follows:

Faculty Member

Research Areas

Dr. Robert Bennell

  • Algorithms for practical approximation of curves and surfaces

Dr. David Sheehan

  • Aquatic toxicology
  • Toxicity of nanoparticles to biological systems
  • Redox proteomics
  • Oxidative stress in pathologies and extreme environments
  • Detoxification and stress response proteins
  • Protein isolation and characterization

Dr. Faisal Shah Khan

  • Quantum Information and Communication Technology (Q-ICT)
  • Non-cooperative Game Theory
  • Categorical Reasoning in Quantum Physics and General Relativity

Dr. Tufail Malik

  • Mathematical Biology
  • Epidemiology
  • Microbial Ecology
  • Environmental-Economic and Health-Capital Models
  • Syndromic Surveillance

Dr. Ibrahim Yildiz

  • Organic Synthesis
  • Nanoparticle Synthesis
  • Biomedical Sensing
  • Bioconjugation Reactions
  • Biomedical Imaging
  • Drug Delivery

Dr. Dirar Al Homouz

  • Computational Physics / Dynamics of protonic conductors
  • Computational Biophysics / Protein folding in vivo
  • Bioinformatics / gene expression regulation

Dr. Jamal Hassan

  • Water behavior in confined geometries (nano- cavities ) using Nuclear Magnetic Resonance (NMR).
  • Water-proton spin exchange study in mesoporous materials.
  • Study of hydration and de-hydration process in confined nano-spaces using NMR.
  • Magnetic Resonance Imagine (MRI) of water distribution in fuel cell components.
  • Study of water dynamics and phases in confined spaces using NMR and MRI.

Dr. Abdel Isakovic

  • X-ray nanofocusing and nano-diffraction (nano-XRD), micro- and nano-fluorescence
  • Nanoscale and mesoscale electron transport and noise, including spin transport
  • Nanofabrication methods for silicon, diamond, germanium in nanophotonics
  • Infrared and ultraviolet spectroscopy (absorption, reflectance, photo- and electroluminescence), with focus on spin-sensitive and strongly correlated systems
  • Spin and charge density waves, and statistical models of ultrathin magnetic films
  • Research involving undergraduates and Physics education research (in all topics above)
  • Noise and correlations and statistical physics methods applied to complex phenomena

Dr. Moh’d Rezeq

  • Nanotechnology: nano-materials and nano-devices
  • Scanning Tunneling Microscope
  • Field Ion and Electron Microscopes
  • Superconductivity

Dr. Issam A. Qattan

  • Electromagnetic and Spin Structure of the Nucleons.
  • Leptonic and Hadronic Scattering.
  • Heavy Ion Collisions.
  • Two-Photon Exchange and Coulomb Distortion Corrections to High-Precision Electron and Neutrino Scattering 
  • Measurements and Cross Sections.
  • Radiation Protection, Measurements, and Dosimetry.
  • Spintronics and Diluted Magnetic Semiconductors (DMSs).
  • Material Science and Nanotechnology: Mossbauer Spectroscopy, X-ray Diffraction, AFM, STM, NMR, Gamma, 
  • Alpha, Beta, and X-Ray Fluorescence Spectroscopy.

Dr. Rachad Zaki

  • Homogenization
  • Perforated domains
  • Multiple scales
  • Partial differential equations

Dr. Joel Gregory Lucero-Bryan

  • Modal Logic
  • General Topology
  • Relational Structures

Dr. Yanthe Pearson

  • Mathematical Biology
  • Growth and differentiation of developing neurons
  • Comparative phylogenetics

Dr. Mohd Shariff

  • Elasticity
  • Continuum Modelling,
  • Damage Mechanics
  • Finite Element
  • Numerical Methods (including large scale computing/parallel computing),
  • Application of AI in Metal Forming
  • Optimisation 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. Suryani Lukman

  • Disease-associated biomolecules
  • Structural bioinformatics
  • Structure-dynamics-based virtual screening and drug design
  • Data Analytics

Dr. Deborah Gater

  • Membrane Biophysics
  • Nuclear Magnetic Resonance Spectroscopy

Dr. Anoop Sivasankaran

  • Celestial Mechanics
  • Dynamical Systems
  • Gravitational few-body problems

Dr. Maguy Abi Jaoude

  • Material Engineering & Separation Sciences (selective extraction & purification, water desalination, waste-water treatment, catalysis)
  • Metal Oxides / Composite materials
  • Porous adsorbents (monoliths, core shell, pillar clays)
  • Porous membranes
  • Biomimetic / Biocompatible materials
  • Surface functionalization

Dr. Nayla El-Kork

  • Near- Field Optical Microscopy
  • Confocal Microscopy
  • Optical properties of nanoparticles
  • Quantum Chemical Simulations

Miss Safaa Mohamad Al Yousif

  • Super critical fluid in nanotechnology applications
  • Polymer synthesis and their applications

Dr. Sharmarke Mohamed

  • X-ray Crystallography
  • Computational Crystal Structure Prediction
  • Crystal Engineering

Mrs. Mualla Kara

  • Organic Geochemistry
  • Analytical Chemistry 

Dr. Waldo Arriagada

  • Dynamical Systems and ODE’s
  • Complex Geometry

Dr. Omar El Dakkak

  • Exchangeability, urn processes and applications to Bayesian Nonparmaetric Statistics,
  • Hoeffding-ANOVA decompositions and applications to Asymptotic Statistics,
  • Theory of Empirical processes and Vapnik-Chervonenkis combinatorics
  • Nonparametric Bootstrap
  • Probabilistic Limit Theorems and Stein’s method

Dr. Oluwaseun Sharomi

  • Mathematical Modeling: Epidemiology (HIV, Chlamydia, Tuberculosis, H1N1)
  • High Performance Computing (Parallel Computing)
  • Problem Solving Environment (PSE)
  • Heart Simulation