Intelligent Wireless Systems

Abstract: This talk discusses AI/ML-based techniques to model nonlinear distortion and hardware impairments of Radios intended for 5G and beyond wireless networks. The talk focuses on the neural network (NN) based digital pre-distortion techniques for linearizing multi-band, and multiple-input multiple-output (MIMO) phased array transmitters. We will review the most popular NN-based behavioral models using Deep Neural Networks, Augmented Neural Networks, and Shallow Neural Networks. The talk will concentrate on various aspects of DPD implementation using AI/ML techniques and discuss the evolution of NN-based DPD modeling techniques for dynamic nonlinear systems. We will also present State-of-the-art approaches such as Real-Valued Focused Time-Delay Neural Network. (RVFTDNN) and Convolutional Neural Networks (CNN) and discuss their suitability for in-field applications. These models' performance will be assessed in terms of their capability to mitigate the transmitter's distortion and hardware impairments such as antenna's crosstalk, PA's nonlinearity, I/Q imbalance, and dc offset for multi-band and MIMO applications for 5G and 6G applications.

Bio: Fadhel M. Ghannouchi (Life Fellow IEEE) is currently a Professor, the iCORE/Canada Research Chair, and the Director of the iRadio Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Alberta. He was with École Polytechnique de Montréal until 2005, where he taught microwave theory and techniques and RF communications systems since 1984. He has held several invited positions at several academic and research institutions in Europe, North America, and Japan. He has provided consulting services to several microwave and wireless communications companies. His research interests include RF and wireless communications, nonlinear modeling of microwave devices and communications systems, design of power- and spectrum-efficient microwave amplification systems, and design of SDR systems for wireless and satellite communications applications. His research has led to over 600 refereed publications, twelve U.S. patents, and seven patent applications. He is an IET Fellow, Royal Society of Canada Fellow, Canadian Academy of Engineering Fellow, and an IEEE-MTT-S Distinguished Microwaves Lecturer.

Application of Surface Modification Technology in the Medical Industry

Abstract: The advancement of surface modification technologies has revolutionized the medical industry, enabling the development of innovative biomaterials with enhanced performance and functionality. This presentation will explore cutting-edge research and applications of surface modification in biomaterials, focusing on biointerfaces that improve protein and cell interactions and enhance blood compatibility. Case studies will highlight successful applications in medical implants, diagnostic devices, and advanced therapeutic solutions. Additionally, the talk will address challenges in transitioning these technologies from academic research to industrial-scale production, emphasizing the importance of integrating innovation with market needs to achieve sustainable development in the medical field.

Bio: Professor Hong Chen is a distinguished researcher in biomaterials and surface modification, with over 20 years of experience in the field. She received her Ph.D. in Polymer Chemistry and Physics from Nanjing University in 2001 and conducted postdoctoral research at McMaster University, Canada, from 2001 to 2004. Upon returning to China, she served as a full professor at Wuhan University of Technology before joining Soochow University in 2010. She established the Macromolecules and Biointerface Laboratory (MacBio), leading groundbreaking research on biomaterial surface modification, protein/cell-material interactions, and hemocompatibility of biomaterials. Professor Chen has published over 200 papers in leading international journals and led numerous national-level projects, including the prestigious National Science Fund for Distinguished Young Scholars. She is a Fellow of the Royal Society of Chemistry (FRSC) and served as an editor for Colloids and Surfaces B: Biointerfaces and as an associate editor of Polymer Chemistry. Beyond academia, she founded Jiangsu Biosurf Biotech Co., Ltd. in 2017 to develop high-quality medical coatings, addressing key challenges in the localization and commercialization of implantable medical devices. Under her leadership, the company has driven innovation in hydrophilic, antibacterial, and anticoagulant coatings, supporting China’s healthcare industry with competitive domestic solutions.

Sustainable LFP Recycling: Novel Room-Temperature Regeneration Methods for a Circular EV Battery Economy

Abstract: Lithium iron phosphate (LFP) batteries are gaining prominence in the electric vehicle (EV) market due to their superior stability, safety, and sustainability, outperforming cobalt-based cathodes. However, the low economic value of iron and the intrinsic stability of LFP make traditional recycling processes less viable. Instead, direct recycling offers a more efficient and environmentally friendly alternative, crucial for mitigating resource depletion and reducing the ecological footprint of spent lithium-ion batteries (LIBs).
This work focuses on the direct chemical regeneration of LiFePO₄ cathodes, a process that minimizes energy consumption, chemical usage, and waste generation compared to conventional recycling techniques. By exploring greener reducing agents and lithium sources, we aim to develop more sustainable recycling methods that enhance efficiency, support resource management, and contribute to a circular battery economy.
We present three distinct approaches to regenerating spent LFP:
1. Solvent-Based Regeneration with LiI
2. Solvent-Free Mechanochemical Lithiation
3. Aqueous Regeneration with Greener Lithium Sources
We further demonstrated the feasibility of a fully closed-loop recycling process by fabricating new 18650 cells from 100% recycled LFP material. Additionally, these regeneration strategies are applicable to next-generation olivine-based batteries, including LMFP cathodes.
In conclusion, this work represents a significant step toward room-temperature, simple, and sustainable recycling of LFP, paving the way for large-scale, environmentally responsible battery regeneration.

Bio: Dr. Moulay-Tahar Sougrati is a CNRS Research Engineer at the Charles Gerhardt Institute in Montpellier, France. With a PhD in Physics and Materials Science from Rouen University and an HDR from the University of Montpellier, his research focuses on energy storage materials, battery recycling, and Mössbauer spectroscopy. He has led and contributed to numerous national and European research projects on lithium-ion and sodium-ion batteries, including sustainable recycling strategies for LFP and graphite. He has published more than 100 papers on the Mössbauer effect and its applications in top-ranking SCI journals, including Nature Energy and Nature Materials, with an h-index of 57. Dr. Sougrati has co-supervised several PhD and postdoctoral researchers and has been invited to speak at international conferences. His expertise is also recognized through consulting roles for ANSES, the IAEA, and the European Commission.

Development of Sustainable Concretes - Role of Industrial By-Products

Abstract: Due to ever increasing exponential growth in the generation of industrial by-products from manufacturing processes, service industries and municipal solid wastes, solid waste management has become one of the major environmental concerns globally. With increasing awareness about environment, scarcity of space for land-filling and due to its ever-increasing cost, utilization of industrial by-product has become an attractive alternative to disposal, and has gained significant importance in the development of sustainable greener cement-based materials. There are several types of industrial by-products such as fly ash, bottom ash, foundry sand, scrap-tires, cement kiln dust, waste glass, recycled plastic, dredged materials, MSW ash, etc. Extensive work has been reported on the influence of such materials on the fresh, strength and durability properties of various types of concrete. Use of such materials in concrete not only makes it economical, but also help in reducing disposal and environmental related issues. This presentation is about the possible uses of some of these materials in the development of sustainable greener concrete.

Bio: Rafat Siddique is Senior Professor of Civil Engineering & Dean Sustainability at Thapar Institute of Engineering and Technology (Deemed University), India. He obtained Ph.D (1993) from Birla Institute of Technology & Science, Pilani, and did post-doc research at University of Wisconsin-Milwaukee, USA. He has extensive teaching, research, and executive experience of more than 35 years. He is amongst 0.025% of academics as per Stanford University having total citations of 28000+ having H Index of 90 in the area of sustainable construction materials. He has published 250+ Q-1 Journal articles and 80+ conference papers. He is Editor of the Journal of Construction and Building Materials (Elsevier), Journal of Materials in Civil Engineering (ASCE), and European Journal of Environmental and Civil Engineering (Taylor & Francis), and Editorial Board Members of several Q1 Journals. His research interests are Fiber Reinforced Concrete; High Volume Fly Ash Concrete; Use of Industrial By- Products in Cement-Based Materials; Self-Compacting Concrete; Properties of Concrete at Elevated Temperatures; Microbial Concrete; Characterization of Leachate from Concrete made with Waste Materials. He has been Invited/Visiting Professor to (i) University of Wisconsin, Madison, USA; (ii) ENS Cachan, France; (iii) BAM Berlin, Germany; (iv) Consolis Technology, Finland; (v) INSA Rennes, France; (vi) University of Guanojuato, Mexico; (vii) University of Wolverhampton, U.K.; (viii) University of Cergy Pontoise, France, (ix) University of La Rochelle; (x) University of Melbourne, Australia; (xi) University of Western Sydney, Australia; (xii) University of South Australia, Australia; (xiii) University of New Castle, Australia; (xiv) KMUTT Bangkok; Monash university Malaysia; (xv) UNITEN Malaysia; (xvi) Harbin Institute of Technology, China; and (xvii) Beijing Jiatong University, China
He has been sought-after speaker, and been to several countries; Australia, Bangkok, Belgium, Botswana, Burkina Faso, Canada, China, Czech Republic, Finland, France, Germany, Hong Kong, Indonesia, Italy, Japan, Malaysia, Mexico, New Zealand, Poland, Portugal, Qatar, Saudi Arabia, Singapore, Spain, Sri Lanka, Switzerland, Turkey, United Kingdom, UAE, USA. He has held several executive positions at Thapar Institute. Prominent amongst them are; Dean, Research and Development (2018-2023); Dean of Faculty Affairs (2010-2014); Head of Department of Civil Engineering (2003-06).

Advanced Robotics for Effective Stroke Rehabilitation Treatment in Home Environment

Abstract: Stroke and neurological diseases have significant impact on our society, robotic technologies have shown potential for delivering effective care and presented many opportunities for the healthcare industry. The talk will cover the recent development of robotics for stroke rehabilitation, the research gaps and the need for new technologies in neuroscience, robotics and artificial intelligence. The talk will introduce a EPSRC-funded project on intelligent reconfigurable exoskeletons tailored to meet patients’ needs, deliver effective diagnosis and personalised treatment, and monitored remotely by rehabilitation therapists. Examples of some of the current ongoing research work at the Leeds Centre for Assistive/Rehabilitation Robotics will be presented including peanumatic Peano muscle, DEA, soft exoskeleton, bilaterial robot, neuromuscular and brain computer interfaces. The focus is on the enabling technologies for those whose strength and coordination have been affected by amputation, stroke, spinal cord injury, cerebral palsy and ageing.

Bio: Prof Shane (Sheng Q) Xie, Ph.D., FRSNZ, FEngNZ, FIEEE, FASME, FIMechE and FAAIA, is the Chair of Robotics and Autonomous Systems and Director of the Rehabilitation Robotics Lab at the University of Leeds, and he was the Director of the Rehabilitation and Medical Robotics Centre at the University of Auckland, New Zealand (NZ, 2002-2016). He has >30 years of research experience in healthcare robotics and exoskeletons. He has published > 500 refereed papers and 8 books in rehabilitation exoskeleton design and control, neuromuscular modelling, and advanced human-robot interaction. He has supervised >15 postdocs, 100 PhDs and 80 MEs in his team with funding of >£30M from five countries since 2003. His team has invented three award-winning rehabilitation exoskeletons. He is an expert in control of exoskeletons, i.e. impedance control, adaptive control, sliding mode control, and iterative learning control strategies. He has received many distinguished awards including the New Zealand Science Challenge Award, the David Bensted Fellowship Award, and the AMP Invention Award. He is an elected Fellow of Royal Society of New Zealand, Fellow of Engineering New Zealand, Fellow of IEEE, ASME, IMechE and AAIA. He was the Technical Editor for IEEE/ASME Transaction on Mechatronics, Associate Editor for Mechatronics Elservier and Editorial member of many top journals in Mechatronics and Robotics.

High-Capacity Sodium Transition Metal Oxides Cathode Materials for Rechargeable Sodium-Ion Batteries

Abstract: Mn-based P2-Nax[LiyTM1−y]O2 cathode materials are available to reach high capacity through the combination of cationic and anionic redox in Na cells.1–11 The Na–O–Li configuration induces the delivery of additional capacity assisted by the oxidation of oxygen when lone-pair electrons are formed in the O 2p orbital, provided that at least one of the following conditions is satisfied: 1) lattice oxygen evolution1 or 2) migration of the Li element to Na layers although the corresponding charge transfer is kinetically sluggish.2 The reaction is not limited to compounds that have alkali ions in the TM layer but is also available with divalent ions; namely, the presence of Mg in the TM layer, P2-Nax[MgyMn1−y]O2 (x = ~2/3, y = ~0.28). The effect of the 4d Ru element in P2-Na0.6[Mg0.2Ru0.2Mn0.6]O2 is investigated. Ru-free Na0.6[Mg0.2Mn0.8]O2 is activated with the Mn3+/Mn4+ redox, after which the charge is compensated by the sluggish oxidation of lattice oxygen (O2−) to O2n− triggered by O2 evolution from the oxide lattice. These effects are generally unfavorable and result in poor long-term cycle stability induced by the irreversible migration of Mg2+ from the transition metal (TM) to Na layers in the P2 structural framework. Benefiting from the covalent Ru bonded with O in the TM layers, the Mg migration reversibly progresses from the TM to sodium slabs without O2 evolution in the structure. The associated reaction progresses via the active Mn4+/Mn3+ and O2−/(O2)n− reaction in addition to the Ru5+/Ru4+/Ru3+ redox pairs, endorsing the capacity increase (~210 mAh g−1), with ~72.1% retention for 300 cycles.

Bio: Professor Seung-Taek Myung is a Daeyang Distinguished Professor in the Department of Nanotechnology and Advanced Materials Engineering at Sejong University, South Korea. Before 2011, he worked as a principal researcher at VK, a senior researcher at 3M, and an assistant professor at Iwate University. He received his Ph.D. in Chemical Engineering from Iwate University, Japan, in 2003. His research interests include the development of electro-active materials and the corrosion of current collectors in rechargeable lithium, sodium, potassium, and zinc ion batteries in both aqueous and nonaqueous solutions. He has authored over 300 publications in international journals and was recognized as a highly cited researcher by Clarivate in 2022 with an h-index of 94. Professor Myung has served as an Editor for the Journal of Power Sources since 2016 and as a Review Board Member for the National Research Foundation of Korea since 2021.

Emerging Trends and Future Perspectives in Quality Engineering

Abstract: Quality Engineering (QE) has evolved beyond its traditional roots in manufacturing to become a critical component across a wide range of industries, including healthcare, infrastructure, education, and energy systems. As organizations in these sectors strive for higher efficiency, reliability, and sustainability, quality methodologies have advanced to address complex operational challenges. Modern QE integrates statistical techniques, process optimization, and emerging technologies to support decision-making and enhance operational performance. This talk explores the applications of QE, including process monitoring, anomaly detection, and system optimization, across various industrial and service sectors. Emerging trends such as machine learning-driven QE, advanced statistical modeling, and multidimensional data analytics are reshaping how industries approach process stability and risk mitigation. With an increasing reliance on real-time analytics and adaptive control systems, QE is transitioning toward smarter and more autonomous solutions. Looking ahead, the integration of AI, big data, and Industry 4.0 technologies will redefine QE. Future directions include self-learning control charts, intelligent process automation, and cross-disciplinary quality frameworks that adapt to dynamic environments. Given these advancements, QE will continue to be a cornerstone of sustainable, data-driven decision-making in modern industries.

Bio: Dr. Salah Haridy is an Associate Professor in the Department of Industrial Engineering and Engineering Management at the University of Sharjah, UAE. Before joining the University of Sharjah in 2017, he served as an Assistant Professor at Benha University, Egypt, and as a Postdoctoral Fellow at the Georgia Institute of Technology and Northeastern University, USA. He earned his Ph.D. in Industrial Engineering from Nanyang Technological University, Singapore, in 2014. He is a recipient of prestigious awards, including the 2013 Mary G. and Joseph Natrella Scholarship from the American Statistical Association (ASA) and the 2014 Richard A. Freund International Scholarship from the American Society for Quality (ASQ). He is also an ASQ Certified Six Sigma Green Belt (Cert. No. 22165). His research interests encompass quality engineering, Six Sigma, statistical process control, and design of experiments. He has authored over 100 publications in international journals and conferences and has led several funded research projects. Dr. Haridy serves as an editorial board member for Discover Mechanical Engineering and is a regular reviewer for leading international journals in his field. Additionally, he has played key roles in international conferences as a track chair, steering committee member, and organizing committee member.

Recent advances in Electro-discharge Machining: Prospects & Challenges

Abstract: Electro-discharge machining (EDM) is a widely used non-traditional machining process known for its ability to fabricate complex geometries in hard-to-machine materials. This talk provides an in-depth exploration of EDM, beginning with its background and fundamental principles, followed by an analysis of what makes EDM unique compared to conventional machining methods. The discussion extends to the global market trends, highlighting the growing industrial adoption of EDM and its advancements. This talk also presents a series of case studies demonstrating EDM’s diverse applications. These include ceramic machining, where EDM’s precision enables the processing of brittle materials; numerical modeling and simulation of micro-EDM (MEDM) to optimize machining parameters; biomaterial machining, showcasing its role in medical device manufacturing; and post-processing of additive-manufactured parts, where EDM enhances surface quality and accuracy in 3D-printed components. This presentation will give attendees insights into EDM’s capabilities, challenges, and future potential, reinforcing its importance in modern manufacturing.

Bio: Dr. Asma Perveen is an Associate Professor in the Mechanical & Aerospace Engineering department at Nazarbayev University (NU), Kazakhstan. Dr. Perveen earned her PhD from the National University of Singapore (NUS) under the Mechanical Engineering Department in 2012. After completing her PhD, she worked as a Research Scientist at the Singapore Institute of Manufacturing Technology (SIMTech) for over two years. She also worked as a Visiting Research Scholar at the University of Parma, Italy, and Western Kentucky University, USA. Her research interests are in the areas of EDM, hybrid Machining processes, Additive Manufacturing, Polymer extrusion, and non-conventional machining processes. She has served as a technical committee member, Co-Convener, Convener, and session chair for several conferences. She serves as a Reviewer and Editorial board member for several reputed journals. Apart from original research publications, she has also published several book chapters in different manufacturing research-oriented books published by Springer, Elsevier, Nova Science, etc.

Social robots for autism therapy

Abstract: Robot-assisted autism therapy has emerged as a promising approach for supporting social and communication development in children with autism. This research explores the effectiveness of adaptive robotic interventions in improving social outcomes for children on the autism spectrum. Through controlled experiments, we examine how real-time adaptability in robotic behavior—such as personalized feedback, behavior analysis, and dynamic engagement strategies—enhances children's responsiveness, joint attention, and interaction quality compared to static, non-adaptive approaches. By integrating insights from developmental psychology, human-robot interaction, and machine learning, this interdisciplinary research aims to advance the design of socially assistive robots that can provide more effective, individualized therapy for children with autism. The findings contribute to the broader field of assistive technology and inform best practices for integrating robotics into autism intervention programs.

Bio: Anara Sandygulova holds a PhD from University College Dublin, Ireland, and is currently an Associate Professor in the Department of Robotics at Nazarbayev University, Kazakhstan. Her research focuses on human-robot interaction, robots for social interaction, robot-assisted autism therapy, and sign language processing. She has been Principal Investigator of several grants, funded both internally and by the Ministry of Education and Science of Kazakhstan. Additionally, she has secured intellectual property rights for her work on robot-assisted therapy for children with autism spectrum disorder (ASD), which led to commercialization of her research and deployment of her proposed autism therapy into 22 autism centers across Kazakhstan. She published 95 scientific papers in international journals and conferences. Dr. Sandygulova has received several awards, including Best Paper Awards at the ACM/IEEE International Conference on Human-Robot Interaction, and the Google Anita Borg Memorial Scholarship.

At the intersection of Machine Learning, Software Engineering and Industry 4.0

Abstract: In this talk, I will provide an overview of the research my colleagues and I conducted over the past year, primarily within the framework of Industry 4.0 (I4.0) — the digitalization of manufacturing and the automation of industrial production. I will discuss various topics, including the standardization of Digital Twins, the application of Large Language Models (LLMs) for industrial tasks such as semantic matching and state diagram recognition, as well as advancements in Collaborative Editing and Predictive Maintenance.

Bio: Marko Ristin specialized in computer vision and machine learning, with a focus on automation, smart manufacturing and industrial Internet of Things (IIoT) applications. He earned his Ph.D. from ETH Zurich in 2015, and is currently affiliated with Nazarbayev University (NU). His work includes developing AI-driven solutions for industrial automation and smart manufacturing, and he has contributed to various publications in these fields.

Optical fiber biosensors: towards real-case applications

Abstract: Optical fiber biosensors are emerging as a technology for detecting a wide array of biological targets, offering high performance and the possibility for rapid, real-time detection. Single-mode fiber biosensors extend even further in terms of performances, as they can benefit from a better modal stability and the availability of devices such as gratings or interferometers. One of the main barriers towards a wide development of these devices is the scalability of fabrication. In this presentation, we propose sensors that can fabricated in a rapid and repeatable fashion (about one minute) using telecom-grade splicers; these methods have been entirely designed at NU. This biosensing structure can detect a wide array of biomolecules, from small targets (such as cancer biomarkers, in serum or in matrices such as tears, urine, saliva), up to larger cancer cells.

Bio: Dr. Daniele Tosi is a Full Professor at Nazarbayev University, School of Engineering and Digital Sciences, and Head of Biosensors and Bioinstruments Laboratory at National Laboratory Astana. He holds a PhD in Electronic and Communication Engineering at Politecnico di Torino (Italy, 2010) and BSc/MSc in Telecommunication Engineering at Politecnico di Torino. His research interest include optical fiber sensors, in particular for biomedical applications, optical biosensors, distributed sensors, and optical fiber propagation. He is the recipient of several awards, including IEEE Early Career Award in 2018, IEEE Sensors Journal Best Performing Associate Editor in 2025, and fellowships including Fulbright and Endeavour. He is Associate Editor of IEEE Sensors Journal, Biomedical Optics Express, IEEE Sensors Reviews.

Modular Construction in Kazakhstan: Drivers, Challenges, and Strategies for Alignment with Circular Economy Principles

Abstract: Modular construction (MC) is becoming a viable alternative to traditional construction due to its sustainable features that align with the circular economy (CE) principles. The faster processes, reduced waste, and resource consumption, among others, have prompted the global adoption of MC. However, many developing countries still face challenges adopting MC, including Kazakhstan. This research aims to identify and evaluate the drivers, challenges, and strategies for MC adoption in Kazakhstan. It also analyzes the alignment of MC with the core CE principles. Based on the research findings, the study identifies the relationships between the drivers, challenges, and strategies to develop actionable recommendations for stakeholders on MC adoption. Quantitative research methods were used to collect professionals’ perspectives through a structured questionnaire survey. Descriptive statistics were applied to assess the validity and reliability of the results, and Partial Least Squares Structural Equation Modelling (PLS-SEM) analysis was conducted to uncover the latent relationships between the constructs. As a result, the most significant drivers, challenges, strategies, and CE principles associated with the MC were found which aligned with existing literature. The research findings reveal a critical lack of awareness among the professionals regarding CE principles and MC, indicating that increasing the targeted awareness initiatives is a key strategy to develop MC adoption toward achieving CE principles in Kazakhstan. Additionally, specific recommendations for the adoption of MC in Kazakhstan have been developed based on the analysis results. Acknowledging the study’s limitations, recommendations for future research directions were also outlined.

Bio: Dr. Abid Nadeem is an Associate Professor specializing in Construction Engineering and Management at the Department of Civil and Environmental Engineering, Nazarbayev University. He has authored over 70 peer-reviewed research papers with 4000+ citations and an h-index of 28. His research drives innovation in sustainable construction, building information modeling (BIM), materials management, and facilities management, providing insights for transforming industry standards, policies, and project efficiencies. His current research on modular construction and circular economy principles in Kazakhstan bridges academic rigor with practical solutions for the built environment.

Advancements in Hydrogen Energy: Cutting-Edge Materials Engineering for Storage and Sensing Technologies

Abstract: Hydrogen is widely recognized as a promising clean energy carrier with the potential to revolutionize our energy landscape. Beyond the challenges of economical and sustainable production, realizing hydrogen's full potential depends on developing efficient and safe storage and sensing technologies.This presentation explores recent advancements in materials engineering that are crucial for overcoming these challenges, focusing on the latest research in solid-state hydrogen storage and chemiresistive sensing of carbon-based composites. Biomass-derived, highly porous graphene-like carbon materials were synthesized and modified, demonstrating enhanced hydrogen storage capacity at ambient conditions. For the first time, a chemiresistive sensor based on few-layered graphene powder was used to detect impurities in hydrogen gas. The sensor exhibited a remarkable ~25% response to the methane, and a competitive adsorption-based sensing mechanism was validated computationally. It highlights the potential of few-layered graphene chemiresistive sensors for hydrogen energy and gas detection.

Bio: Dr. Almagul Mentbayeva is an assistant professor at the Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, has PhD in Chemiсal Engineering. She is a winner of the “Science Leader” by the Thomson Reuters and “Best Scientific Worker 2023” state award from the Government of Kazakhstan. Her primary research interest is in the broad field of material science and engineering, with a specific emphasis on functional materials for gas sensing, hydrogen storage and electrochemical energy storage and conversion. The Ph.D. thesis and early works centered on the composite thin films for catalysis, biomedical and energy storage applications. Subsequently, her research focus shifted towards design and synthesis of nanostructured materials and devices for energy and environment. She has more than 70 articles on new materials for energy storage, conversion and safety applications.