Muhammad Arshad

Muhammad Arshad

Dean & Associate Professor

Education
Ph.D. In Computer Science - Liverpool John Moores University, Liverpool, UK

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A seasoned academic leader with over two decades of experience in Computer Science, specializing in areas like the Internet of Things (IoT), Cloud Computing (AWS), and Software Engineering. Serving as a Professor, Head of Department, and Dean at various esteemed institutions, including City University of Science and Information Technology, Has spearheaded curriculum innovation and fostered industry partnerships to prepare students for the evolving tech landscape. Recognized as an Approved Supervisor by the Higher Education Commission, has guided numerous research initiatives, contributed extensively to academic publications, and played an instrumental role in accreditation processes. Known for his strategic vision and ethical leadership, remains committed to nurturing future tech leaders and advancing the field of Computer Science.

Publications & Highlights

  1. Early and late blight disease identification in tomato plants using a neural network-based model to augmenting agricultural productivity
  2. A hybrid approach for automatic segmentation and classification to detect tuberculosis
  3. Efficient context-aware computing: a systematic model for dynamic working memory updates in context-aware computing
  4. Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration
  5. A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems
  6. ABMRF: An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu
  7. An Agent-Based Model of Task-Allocation and Resource- Sharing for Social Internet of Things
  8. Agent-Based Modeling of a Self-Organized Food Safety System
  9. Multi-criteria based zone head selection in Internet of Things based wireless sensor networks
  10. Nature-Inspired Computational Model of Population Desegregation Under Group Leaders Influence

Contact Info
m.arshad@kimep.kz
Office Ext:2509

Anel Ibrayeva

Assistant Professor

Education
Eurasian National University (Astana, Kazakhstan)

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Ph.D. in Nuclear Physics with extensive experience in both education and scientific research. Over the course of my career, I have held academic and research positions at leading international institutions in Russia, South Africa, Spain, and Austria, where I have led research projects while actively teaching and mentoring students at various levels.
My background combines hands-on experimental physics, including techniques like Transmission Electron Microscopy (TEM), spectroscopy, and X-ray diffraction (XRD), with advanced skills in time series predictive modeling, deep learning, and data analysis.
I’ve had the opportunity to lead projects focused on energy efficiency, materials science, and predictive modeling of physical processes, helping to push forward our fundamental understanding in these areas. Currently, I collaborate with respected organizations such as the Joint Institute for Nuclear Reactions, the Center for High Resolution Transmission Electron Microscopy, and FH JOANNEUM.

Research & Teaching Interests

  1. Effects of swift heavy ion irradiation on complex ceramics
  2. Changes in structure and morphology of materials under ion impact
  3. Experimental methods: TEM, spectroscopy, XRD
  4. Modeling and predicting ion-induced material modifications
  5. Nanomaterials

Publications & Highlights

  1. Post-Irradiation Annealing of Bi Ion Tracks in Si3N4: In-Situ and Ex-Situ Transmission Electron Microscopy Study
  2. Swift heavy ion tracks in nanocrystalline TiO2
  3. The effect of aluminium concentration on the resistance of Si3N4 to ion track formation
  4. Transmission Electron Microscopy and Molecular Dynamic Study of Ion Tracks in Nanocrystalline Y2Ti2O7: Particle Size Effect on Track Formation Threshold
  5. High-Energy Heavy Ion Tracks in Nanocrystalline Silicon Nitride
  6. Nanoindentation testing of Si3N4 irradiated with swift heavy ions
  7. Raman Study of Polycrystalline Si3N4 Irradiated with Swift Heavy Ions

Contact Info
a.ibrayeva@kimep.kz

Madina Yermakhan

Lab Assistant

Education
MS Chemistry, Al-Farabi Kazakh National University (Almaty, Kazakhstan)

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M.S. in Chemistry, with experience in environmental analysis and advanced techniques such as GC-MS, SPME.

Research & Teaching Interests

  1. Analytical Chemistry
  2. Sample Collection and Preparation
  3. Environmental analysis of water, soil
  4. Gas chromatography

Publications & Highlights

  1. On-site gas chromatographic quantitation of transformation products of unsymmetrical dimethylhydrazine in soil using vacuum-assisted headspace solid-phase microextraction

Contact Info
m.yermakhan@kimep.kz

Dr. Uldana Baizyldayeva

Dr. Uldana Baizyldayeva

Assistant Professor, Associate Dean of School of Computer Science and Mathematics

Education
PhD in Information Systems, K.I.Satbayev Kazakh National Technical University

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Dr. Uldana Baizyldayeva is an Assistant Professor at the School of Computer Science and Mathematics, KIMEP University. She earned her PhD in Information Systems from K.I. Satbayev Kazakh National Technical University joint research with University of Aveiro, Portugal.
Dr. Uldana has extensive experience in teaching, research, and academic leadership. At KIMEP University, she has been actively involved in curriculum design and program development. Together with senior colleagues, she contributed to the creation of the Minor in Information Systems and played a key role in developing the Bachelor of Information Systems (BIS) program, and in launching the new School of Computer Science and Mathematics, including the design of new courses that integrate theory with practical applications.
She has valuable experience in representing the BIS program before attestation and accreditation committees, ensuring its compliance with national and international quality standards. Through her teaching and academic initiatives, Dr. Uldana is committed to advancing Information Systems education and preparing students to become highly skilled professionals capable of addressing challenges in today’s digital economy. Dr. Uldana holds KIMEP University "Teaching Excellence " award 2025
Her research interests include decision support systems, database management, business intelligence systems, information systems in academic learning management systems, and technology-enhanced learning. She is particularly interested in the integration of decision support tools with emerging technologies to improve research and business performance and organizational decision-making.
Dr. Uldana has authored and co-authored a number of research papers and conference proceedings in the fields of information systems and computer science. Her publications cover topics such as decision support methodologies, the use of AI in organizational contexts, and the development of innovative approaches to teaching and learning in higher education.

Publications & Highlights

  1. The Moderating Role of Entrepreneurial Self-Efficacy and Locus of Control on the Effect of the University Environment and Program on Entrepreneurial Intention and Attitudes
  2. How Social Media Usage Influences Student Learning Outcomes
  3. The statistical research of problems of information support for innovative activity of enterprises in kazakhstan
  4. Decision making procedure: Applications of IBM SPSS cluster analysis and decision tree
  5. Multi-Criteria decision support systems. Comparative analysis
  6. Decision steps on adoption of learning management systems in Kazakhstan: Perspectives for improving studying efficiency
  7. Corporate governance and firm value of kazakhstani companies in the conditions of sanctions against the Russian Federation

Contact Info
bdana@kimep.kz
office #101 SCSM building

Dr. Haslinda Ibrahim

Dr. Haslinda Ibrahim

Chair and Professor, Department of Mathematics and Natural Sciences

Education
PhD Mathematics (Southern Illinois University, USA), MSc Mathematics (Indiana State University, USA). BSc Mathematics (Michigan State University, USA)

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Professor Dr. Haslinda Ibrahim is a distinguished academic leader in Mathematics, specializing in Combinatorial Design Theory, Graph Theory, and STEM education. She has served as Professor, Head of Department, Deputy Dean, and Dean at Universiti Utara Malaysia, where she has driven curriculum innovation, championed creative teaching, and fostered international research collaborations. As the creator of the Explore, Discover, and Develop (ExDiD) instructional model, she has advanced structured and innovative approaches to teaching and learning. Her research on nature-inspired combinatorial methods has generated new design formulations, enriching the discipline. Widely recognized, she has delivered invited talks and workshops, authored more than 120 indexed publications, and served as editor for Scopus-indexed proceedings. Her leadership extends globally through Visiting Scholar appointments in Bahrain, Morocco, and Uzbekistan. Honored with awards such as the Dissertation Research Award and Outstanding Teaching Assistant Award from Southern Illinois University, AKRI 2019 Transformative Teaching Award, PERSAMA 2021 Special Recognition Award, and the Distinguished Teacher Award (2023), she continues to inspire future scholars through innovation, collaboration, and transformative education.

Publications & Highlights

  1. Butterfly Triple System Algorithm Based on Graph Theory
  2. Historical Review of Existing Sequences and the Representation of the Wing Sequence
  3. Discovering the Fascinating Pattern in the Geometric Representation of Non-intersecting Chords on the Circle within the Motzkin Sequence
  4. Decompositions of Complete Multigraphs into Cyclic Design
  5. Nested chain movement of length 1 of beta number in James Abacus diagram
  6. Notes on krasnoselskii-type fixed-point theorems and their application to fractional hybrid differential problems
  7. A note on “The nearest symmetric fuzzy solution for a symmetric fuzzy linear system”
  8. A note on “solving fully fuzzy linear systems by using implicit gauss-cholesky algorithm”
  9. An algorithm for a positive solution of arbitrary fully fuzzy linear system
  10. Developing an algorithm for triad design

Contact Info
h.ibrahim@kimep.kz

Nurgissa Yessirkegenov

Nurgissa Yessirkegenov

Associate Professor

Education
Ph.D. in Mathematics (2020) from Imperial College London

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Nurgissa Yessirkegenov is an Associate Professor at the School of Computer Science and Mathematics, KIMEP University. He holds a Ph.D. in Mathematics (2020) from Imperial College London (UK). He was a postdoctoral fellow in the Department of Mathematics at Ghent University (Belgium, 2019–2021). His research interests lie at the intersection of noncommutative analysis and the analysis of hypoelliptic partial differential operators.

He is the recipient of several international awards, including the Santander Mobility Grant (UK, 2017), the Romberg Grant (Germany, 2017), the Doris Chen Merit Award (UK, 2018), the Doris Chen Mobility Grant (UK, 2018), the London Mathematical Society Early Career Fellowship (UK, 2019), and the Scopus Awards Kazakhstan from Elsevier (2023). He has also received national honors, including the Best Researcher Award from the Ministry of Science and Higher Education of Kazakhstan (2024) and the State Youth Award “Daryn” (2021). He is a member of the International ISAAC Committee, the International Society for Analysis, its Applications and Computation.

He has served and continues to serve as Principal Investigator on the research grants AP09058474 (2021–2023), AP14871691 (2022–2024), and AP23490970 (2024–2026), funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan.

Publications & Highlights

  1. (with A. Laptev and M. Ruzhansky) Hardy inequalities for Landau Hamiltonian and for Baouendi-Grushin operator with Aharonov-Bohm type magnetic field. Part I. Mathematica Scandinavica, 125(2):239–269, 2019.
  2. (with M. Ruzhansky and D. Suragan) Extended Caffarelli-Kohn-Nirenberg inequalities, and remainders, stability, and superweights for Lp-weighted Hardy inequalities. Transactions of the American Mathematical Society, Series B, 5:32–62, 2018
  3. (with A. Velicu) Rellich, Gagliardo-Nirenberg and Caffarelli-Kohn-Nirenberg inequalities for Dunkl operators and applications. Israel Journal of Mathematics, 247:741–782 (2022).
  4. (with M. Ruzhansky) Rellich inequalities for sub-Laplacians with drift. Proceedings of the American Mathematical Society, 147(3):1335–1349, 2019.
  5. (with M. Ruzhansky) Critical Sobolev, Gagliardo-Nirenberg, Trudinger and Brezis-Gallouet-Wainger inequalities, best constants, and ground states on graded groups. Communications in Contemporary Mathematics, art. no. 2150061.
  6. (with M. Ruzhansky) A comparison principle for higher order nonlinear hypoelliptic heat operators on graded Lie groups. Nonlinear Analysis, Theory, Methods and Applications, 215, art. no. 112621, 2022.
  7. (with M. Ruzhansky) Existence and non-existence of global solutions for semilinear heat equations and inequalities on sub-Riemannian manifolds, and Fujita exponent on unimodular Lie groups. Journal of Differential Equations, 308:455–473, 2022.
  8. (with M. Ruzhansky and N. Tokmagambetov) Best constants in Sobolev and Gagliardo-Nirenberg inequalities on graded groups and ground states for higher order nonlinear subelliptic equations. Calculus of Variations and Partial Differential Equations, 59, Art. 175, 2020.
  9. (with M. Ruzhansky) Hardy-Sobolev-Rellich, Hardy-Littlewood-Sobolev and Caffarelli-Kohn-Nirenberg inequalities on general Lie groups. Journal of Geometric Analysis, 34: art. no. 223, 2024.
  10. (with M. Ruzhansky) Hypoelliptic functional inequalities. Mathematische Zeitschrift, 307: art. no. 22, 2024.

Contact Info
n.yessirkegenov@kimep.kz

Aigerim Kalybay

Aigerim Kalybay

Professor

Education
Ph.D. in Mathematics - Luleå University of Technology, Sweden

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A Professor at the School of Computer Science and Mathematics at KIMEP University, with a career spanning research, teaching, and academic leadership in mathematics. After graduating from L.N. Gumilyov Eurasian National University in 1998, she joined the Laboratory of Functional Analysis at the Institute of Mathematics of the Academy of Sciences, where she earned the Candidate degree in Physical and Mathematical Sciences in 2002. Awarded a prestigious grant from the Royal Swedish Academy of Sciences, she pursued postgraduate studies at Luleå University of Technology, Sweden, culminating in a PhD defense in 2006, the same year she joined KIMEP University.
She has taught mathematics for more than 20 years. Author of over 50 publications, her research interests include functional and sequence spaces, Hardy-type inequalities, operator theory, and applications to differential and difference equations.
Winner of the national “Best Researcher – 2023” award, she is principal investigator and member of state-funded projects, as well as an active reviewer for the American Mathematical Society and several international journals.

Publications & Highlights

  1. Criteria for boundedness of a class of integral operators from Lp to Lq for 1<q<p<∞
  2. Alternative criteria for boundedness of one class of matrix operators in weighted spaces of sequences
  3. Oscillatory and spectral properties of a class of fourth–order differential operators via a new Hardy–type inequality
  4. New weighted Hardy-type inequalities for monotone functions
  5. On iterated discrete Hardy type inequalities for a class of matrix operators
  6. Boundedness of one class of integral operators from Lp to Lq for 1<q<p<∞
  7. On weighted inequalities for a class of quasilinear integral operators
  8. Oscillatory and spectral properties of fourth-order differential operator and weighted differential inequality with boundary conditions
  9. Boundedness of one class of integral operators from second order weighted Sobolev space to weighted Lebesgue space
  10. Oscillation and non-oscillation criteria for second order half-linear difference equation and extended discrete Hardy inequality

Contact Info
kalybay@kimep.kz
Office Ext:3022

Dr. Altynay Kadyrova

Assistant Professor

Education
PhD in Computer Science, Norwegian University of Science and Technology, Norway

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Holds a Ph.D. in Computer Science from the Norwegian University of Science and Technology (NTNU). Dr. Altynay Kadyrova has experience in international companies and research institutions across Europe, Japan, and South Korea. Collaborated with organizations such as Canon Production Printing Netherlands B.V., University of Leeds, and Fraunhofer Institute for Computer Graphics Research. Passionate about research and technology, poised to contribute to computer science at KIMEP University.

Research & Teaching Interests

  1. Artificial Intelligence
  2. Algorithms
  3. Human Perception

Publications & Highlights

  1. Effect of elevation and surface roughness on naturalness perception of 2.5 d decor prints
  2. How do image quality metrics perform on contrast enhanced images?
  3. A study on attributes for 2.5 D print quality assessment
  4. Quality Assessment of 2.5 D Prints Using 2D Image Quality Metrics
  5. What Elevation Makes 2.5 D Prints Perceptually Natural?
  6. Image enhancement dataset for evaluation of image quality metrics
  7. Evaluation of the human visual system in cosmetics foundation colour selection
  8. Do contrast measures correlate? a pilot investigation
  9. Effect of various ink types on naturalness perception of 2.5 D prints
  10. Naturalness Perception of 2.5 D Prints: Elevation and Size of Prints Relation

Contact Info
a.kadyrova@kimep.kz

Aishabibi Dukenbayeva

Aishabibi Dukenbayeva

Assistant Professor

Education
Ph.D. in Mathematics (2022) from Ghent University and Kazakh National University

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Aishabibi Dukenbayeva is an Assistant Professor at the School of Computer Science and Mathematics, KIMEP University.
She holds a Ph.D. in Mathematics (2022) from Ghent University and Kazakh National University , and an M.A. in Applied Mathematics (2017) from the University of Southern California, Los Angeles.
Her research interests include nonlocal boundary value problems, investigation of well-posedness and spectral properties, and inverse problems with several publications in international peer-reviewed journals.
She is also the recipient of the "Zhas Galym" research grant (2022-24) of The Ministry of Science and Higher Education of the Republic of Kazakhstan and the KIMEP University Research Excellence Award (2025).

Publications & Highlights

  1. Global existence and blow-up of solutions to pseudo-parabolic equation for Baouendi- Grushin operator. Open Mathematics, 23:1, 2025
  2. (with M. Sadybekov) Spectral properties of the Laplace operator with variable dependent boundary conditions in a disk. Axioms, 13(11):794, 2024
  3. (with M. Sadybekov) On boundary value problems of the Samarskii–Ionkin type for the Laplace operator in a ball. Complex Variables and Elliptic Equations, 67(2):369–383, 2022
  4. (with M. Sadybekov) Direct and inverse problems for the Poisson equation with equality of flows on a part of the boundary. Complex Variables and Elliptic Equations, 64(5):777–791, 2019
  5. (with M. Sadybekov and N. Yessirkegenov) On a generalised Samarskii-Ionkin type problem for the Poisson equation. Springer Proceedings in Mathematics and Statistics, 264:207-216, 2018
  6. (with M. Sadybekov ) On a class of direct and inverse problems for the Poisson equation with equality of flows on part of the boundary. AIP Conference Proceedings, 2048, 040009, 2018
  7. (with M. Sadybekov) On a boundary value problem of the Samarskii-Ionkin type for the Laplace operator in a ball. Kazakh Mathematical Journal, 20:1, 84-94, 2020
  8. On a generalized problem of the Samarskii-Ionkin type for the Poisson equation in a disk (in russian)

Contact Info
a.dukenbayeva@kimep.kz

Dr. Lee Garner

Dr. Lee Garner

Department Head of Cybersecurity, Chair of Computer Science Department, SCSM

Education
Active Cisco, EC Council and Microsoft Instructor. City & Guilds certifications in, HGV Pneumatics, Electronic Vessel Systems.

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Dr. Lee Garner joined the School of Computer Science and Mathematics Faculty, bringing deep expertise in cybersecurity. He holds a Ph.D. in cybersecurity from the University of Bedfordshire in the United Kingdom, awarded in 2024. His doctoral research focused on cyber attacks within the maritime domains, particularly through the use of 3D-printed drones as covert attack tools. He also holds a first-class honours bachelor’s degree in computer security and forensics from the same institution, Dr Garner’s areas of expertise include cyber defence, ethical hacking, drone forensics, and maritime cybersecurity operations. His current research explores emerging cyber threats and innovative defence mechanisms, including forensic-resistant materials and autonomous cyber-controlled systems using 3D printed objects that are forensically free.

Research & Teaching Interests

  1. 3D Printing, Investigating the loss and recovery of forensic data in 3D-printed objects, Drone-Based Covert Attacks, Developing methodologies for forensically discreet electromagnetic induction deflection in autonomous drone systems, • Maritime Navigation System Disruption, Studying the vulnerabilities of AIS

Nurlan Karimzhan

Senior lecturer

Education
2010-2011 Carnegie Mellon University, Pittsburgh , Pennsylvania , USA ( state scholarship "BOLASHAK" ) Master of Science in Electronic Business Technologies 2006-2009 Kazakh National Technical University named after K.I. Satpayev Postgraduate studies, Information systems 2004-2006 Master of Information Systems 1999-2004 Systems Engineer

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In 1999, as a winner of the Republican Informatics Olympiad, he received a grant to study at Satbayev Kazakh National Technical University. He successfully graduated in 2004 with a degree in systems engineering. From 2004 to 2006, he earned a Master's degree in Information Systems and then pursued postgraduate studies. In 2009, he was awarded the "Bolashak" scholarship to study in the USA. In 2011, he successfully graduated from Carnegie Mellon University with a Master of Science in Information Technology. He is currently working as a senior lecturer at the KIMEP University, SCSM faculty.

Research & Teaching Interests

  1. Programming
  2. IoT
  3. Robotics
  4. Algorithms

Publications & Highlights

  1. MAS agents development for mining industry
  2. Design of a hand rehabilitation gaming platform