School of Engineering and Digital Sciences
School of Engineering and Digital Sciences
School of Engineering and Digital Sciences
Research groups
Environmental Science & Technology Group (ESTg)
Environmental Science & Technology is an interdisciplinary and multidisciplinary area covering Air, Water, Soil, Waste, Resource Efficiency and Climate Change. However, ESTg is not restricted to purely environmental-related areas as its core interests revolve around Advanced Porous Materials and their applications to Environment and Biomedical problems. ESTg has an international network fostering high quality research, engineering solutions and education.
Environmental Science & Technology is an interdisciplinary and multidisciplinary area covering Air, Water, Soil, Waste, Resource Efficiency and Climate Change. However, ESTg is not restricted to purely environmental-related areas as its core interests revolve around Advanced Porous Materials and their applications to Environment and Biomedical problems. ESTg has an international network fostering high quality research, engineering solutions and education.
NU IoT research group
The Internet of Things research group is led by Prof. Dimitrios Zorbas. Its purpose is to conduct research on and develop modern Internet of Things communication and sensing systems. The topics of interest include but are not limited to communication protocols, embedded programming, smart sensing systems, machine learning for IoT, and prototype development.
The Internet of Things research group is led by Prof. Dimitrios Zorbas. Its purpose is to conduct research on and develop modern Internet of Things communication and sensing systems. The topics of interest include but are not limited to communication protocols, embedded programming, smart sensing systems, machine learning for IoT, and prototype development.
GEERG (Green Energy and Environmental Research Group)
The research group is providing optimal scientific and engineering solutions for global environmental and energy problems by focusing on the following research fields
– Environmental & Energy Catalysts;
– Carbon Capture, Conversion, & Sequestration;
– Development of Sustainable Water & Wastewater Treatment Systems with Energy Production;
– Environmental System Modeling for Optimization, Risk Assessment, & Life Cycle Assessment.
The research group is providing optimal scientific and engineering solutions for global environmental and energy problems by focusing on the following research fields
– Environmental & Energy Catalysts;
– Carbon Capture, Conversion, & Sequestration;
– Development of Sustainable Water & Wastewater Treatment Systems with Energy Production;
– Environmental System Modeling for Optimization, Risk Assessment, & Life Cycle Assessment.
Advanced Energy Storage Systems and Functional Nanomaterials Research Group
Advanced Energy Storage Systems and Functional Nanomaterials Research Group at Nazarbayev University is an international research group focused on innovative materials preparation and characterization, new devices and systems development with the emphasis on energy storage and conversion, catalysis, advanced sensors, hydrogen energy, mechanical energy harvesting, self-powered systems as well as for environmental and biomedical use.
We have an excellent international network, active mobility and exchange programs with the best research centers worldwide. In collaboration with National Laboratory Astana and Institute of Batteries LLP, local and international universities, our Group is successfully executing a large number of projects, funded by the Government, local and international companies and funds.
Our Group has successfully accomplished two commercialization projects and two State Targeted Programs from the World Bank and the Government of Kazakhstan.
Advanced Energy Storage Systems and Functional Nanomaterials Research Group at Nazarbayev University is an international research group focused on innovative materials preparation and characterization, new devices and systems development with the emphasis on energy storage and conversion, catalysis, advanced sensors, hydrogen energy, mechanical energy harvesting, self-powered systems as well as for environmental and biomedical use.
We have an excellent international network, active mobility and exchange programs with the best research centers worldwide. In collaboration with National Laboratory Astana and Institute of Batteries LLP, local and international universities, our Group is successfully executing a large number of projects, funded by the Government, local and international companies and funds.
Our Group has successfully accomplished two commercialization projects and two State Targeted Programs from the World Bank and the Government of Kazakhstan.
Applied Mechanics Research Group (AMRG)
The Applied Mechanics Research Group covers a wide range of research topics found in the Mechanical and Aerospace disciples. Topics include, but are not limited to, structural dynamics, shape optimization, decision modeling, aeromechanics, thermal management techniques, missile and satellite control techniques, 3/4D printing, propulsion, and smoothed particle hydrodynamics. In addition, a strong contribution to different aspects of engineering education is made, with an emphasis on PhD and Masters Students’ development.
The Applied Mechanics Research Group covers a wide range of research topics found in the Mechanical and Aerospace disciples. Topics include, but are not limited to, structural dynamics, shape optimization, decision modeling, aeromechanics, thermal management techniques, missile and satellite control techniques, 3/4D printing, propulsion, and smoothed particle hydrodynamics. In addition, a strong contribution to different aspects of engineering education is made, with an emphasis on PhD and Masters Students’ development.
Circular Economy Indexing in Construction Industry Using Big Data and AI
This research aims to utilize state-of-the-art Artificial Intelligence (AI) techniques to develop a novel Circular City Indexing (CCI) method for construction job site management and operation. Creating circularity indexes for cities is a new research area. CCI typically involves Big Data Analysis (BDA) and provides a concise measurement of the factors extracted from the data related to urban performances supporting local, national, and international green policies. This project focuses on a novel contribution to the built environment part of the circular developments in cities. Thus, it will facilitate the development of a CCI for the built environment, focusing on construction activities.
The project will deliver a significant, open-source, and meticulously annotated dataset for construction sites from cities worldwide and develop a novel CCI with actions and strategies enabling support for circular and sustainable construction site management strategies and planning of investments. These outcomes may particularly impact enabling factors of the green transition that may differ across territories. It will help policymakers promote a smooth and fair transition by fostering municipalities’ preparedness to address the challenge. The development of circularity measures can help to improve local urban management.
This research aims to utilize state-of-the-art Artificial Intelligence (AI) techniques to develop a novel Circular City Indexing (CCI) method for construction job site management and operation. Creating circularity indexes for cities is a new research area. CCI typically involves Big Data Analysis (BDA) and provides a concise measurement of the factors extracted from the data related to urban performances supporting local, national, and international green policies. This project focuses on a novel contribution to the built environment part of the circular developments in cities. Thus, it will facilitate the development of a CCI for the built environment, focusing on construction activities.
The project will deliver a significant, open-source, and meticulously annotated dataset for construction sites from cities worldwide and develop a novel CCI with actions and strategies enabling support for circular and sustainable construction site management strategies and planning of investments. These outcomes may particularly impact enabling factors of the green transition that may differ across territories. It will help policymakers promote a smooth and fair transition by fostering municipalities’ preparedness to address the challenge. The development of circularity measures can help to improve local urban management.
Applications of Signal Processing Lab (ASP-LAB)
The main focus of our research activities is to investigate novel signal processing & machine learning techniques for "Acoustic & Biomedical" applications. We are eager to develop novel solutions on the basis of the so-called classical signal processing techniques, viz., digital signal processing, adaptive filtering, Fourier and Wavelet transformation, Independent component analysis, as well as advanced machine learning techniques. The topics of interest include, but are not limited to:
The main focus of our research activities is to investigate novel signal processing & machine learning techniques for "Acoustic & Biomedical" applications. We are eager to develop novel solutions on the basis of the so-called classical signal processing techniques, viz., digital signal processing, adaptive filtering, Fourier and Wavelet transformation, Independent component analysis, as well as advanced machine learning techniques. The topics of interest include, but are not limited to:
- Adaptive Digital Filters
- Active Noise Control
- Digital Hearing Aids
- ICA & Blind Source Separation
- Biomedical Signal Processing
- Audio Signal Processing
- BCI Methods & Applications
- Computer Vision & Applications
Biomaterials and Regenerative Engineering Laboratory (BIREL)
Research at BIREL focuses on the design and fabrication of nanotechnology-based functional biomaterials as well as controlled release systems to be utilized for orthopedic tissue-tissue interface regeneration. Regenerative engineering laden by stem/progenitor cell recruitment and utilization of Extracellular Matrix scaffolds for tissue/organ regeneration are also investigated at BIREL.
Research at BIREL focuses on the design and fabrication of nanotechnology-based functional biomaterials as well as controlled release systems to be utilized for orthopedic tissue-tissue interface regeneration. Regenerative engineering laden by stem/progenitor cell recruitment and utilization of Extracellular Matrix scaffolds for tissue/organ regeneration are also investigated at BIREL.
Bioengineering research group
Our bioengineering research group is dedicated to advancing healthcare through innovative applications of engineering and computational techniques. Our diverse projects include developing patient-specific approaches for breast cancer screening using machine learning, creating diagnostic tools for coronary artery disease through the integration of medical imaging and simulations, exploring the biomechanics of the spine, studying nasal aerodynamics, and investigating hemodynamics and blood-vessel interactions in the cardiovascular system. Through a multidisciplinary approach, we aim to contribute to the understanding and improvement of various aspects of human health, pushing the boundaries of bioengineering research.
Our bioengineering research group is dedicated to advancing healthcare through innovative applications of engineering and computational techniques. Our diverse projects include developing patient-specific approaches for breast cancer screening using machine learning, creating diagnostic tools for coronary artery disease through the integration of medical imaging and simulations, exploring the biomechanics of the spine, studying nasal aerodynamics, and investigating hemodynamics and blood-vessel interactions in the cardiovascular system. Through a multidisciplinary approach, we aim to contribute to the understanding and improvement of various aspects of human health, pushing the boundaries of bioengineering research.
Energy Research Group
This research group focuses on advancing computational methodologies for optimizing various engineering designs across multiple disciplines. Their primary expertise lies in aerodynamics and fluid-structure interactions, with applications ranging from aerospace to
energy systems. By developing and implementing advanced computational fluid dynamics (CFD) techniques, such as URANS/VLES and discrete two-way Fluid-Structure Interaction (FSI), they aim to enhance the efficiency, performance, and reliability of engineering
systems. Additionally, they explore multidisciplinary design optimization approaches to address complex engineering challenges, ultimately contributing to the advancement of various industries, including aerospace, energy, and materials science.
This research group focuses on advancing computational methodologies for optimizing various engineering designs across multiple disciplines. Their primary expertise lies in aerodynamics and fluid-structure interactions, with applications ranging from aerospace to
energy systems. By developing and implementing advanced computational fluid dynamics (CFD) techniques, such as URANS/VLES and discrete two-way Fluid-Structure Interaction (FSI), they aim to enhance the efficiency, performance, and reliability of engineering
systems. Additionally, they explore multidisciplinary design optimization approaches to address complex engineering challenges, ultimately contributing to the advancement of various industries, including aerospace, energy, and materials science.
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