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NewUU Research Project
The New Uzbekistan University Research Project (NewUU RP) is NewUU’s internal competitive research funding programme, established under Presidential Resolution No. RP–5158 (23 June 2021) “On the Establishment of New Uzbekistan University” and Presidential Resolution No. RP–151 (28 April 2025) “On Measures to Further Improve the Activities of New Uzbekistan University”.
As a pioneering university-based competitive funding mechanism in Uzbekistan, this grant-based programme supports projects that combine scientific excellence with relevance to Uzbekistan’s development priorities.
Each year, NewUU RP funds a portfolio of awarded projects that prioritise international collaboration and strong research integrity. NewUU operates a highly competitive selection process supported by independent peer review, implemented in collaboration with leading international university partners. Below, you can explore the supported projects.
Ubiquitous wireless power transfer technology using highly uniform magnetic field resonators
This project aims to develop unique wireless power transfer technology that can be implemented in the entire volume of a residential or industrial space using a specially designed volumetric resonator as an energy transmitter. The scientific and technical novelty of the proposed research lies in the new designs and development of volumetric resonators that will create a uniform and high-amplitude radio frequency magnetic field and a low-amplitude electric field in the working area (a given volume), as well as new engineering solutions for designing receiving devices of WPT systems. This approach opens new opportunities for free placement in the volume of mobile and stationary electronic devices, allowing them to receive continuous power at various points of a given volume without the necessity for wires and batteries. It is especially important for wearable electronics, smart home sensors, industrial sensors, and robotic systems.
Development of new bio-insecticide based on the secondary metabolites of endophytic fungi
According to the Food and Agriculture Organization (FAO) of the United Nations, insect pests and pathogenic fungi cause 20–40% of annual crop yield losses worldwide, resulting in billions of dollars in economic damage each year. Farmers often rely on chemical pesticides to mitigate these problems; however, their excessive use leads to pesticide resistance, environmental contamination, and negative effects on non-target organisms. Therefore, the development of natural and eco-friendly bioinsecticides based on secondary metabolites of microorganisms has become a pressing global need. This project aims to develop a new bioinsecticide based on the secondary metabolites of endophytic fungi isolated from endemic medicinal plants naturally growing in Uzbekistan, Hyssopus officinalis, Ziziphora clinopodioides, and Eremostachys isochila (family Lamiaceae). In the first phase, the insecticidal activity of fungal metabolites will be evaluated under in vitro conditions against major greenhouse and field insect pests (Anticarsia gemmatalis, Helicoverpa zea, Lymantria dispar, Spodoptera exigua, Spodoptera frugiperda, Trichoplusia ni, Heliothis virescens). The most active extracts will then be tested in greenhouse and field trials to assess their efficacy and safety. Based on the obtained results, an environmentally safe and economically viable bioinsecticide will be developed as a sustainable alternative to conventional chemical pesticides, utilizing the metabolic potential of endophytic fungi associated with Lamiaceae plants.
Porous Material Technology for Health and Climate Diagnostics (Ultra-sensitive Label-free Yolk–shell Gap-enhanced Hybrid Pathogen Sensors, ULUGH)
Emerging and re-emerging pathogens pose a major threat to global health resilience and biosecurity. Rapid, label-free detection of harmful microorganisms at ultra-low concentrations — before they cause outbreaks — remains a significant challenge. The project aims to develop a next-generation, portable diagnostic platform by engineering hierarchically porous yolk–shell nanostructures, fabricated through precise microfluidic droplet synthesis. The particles will act as plasmonic nano-probes embedding plasmonic antennae for optical detection. The research will explore how tuning core/shell ratios, porosity, and refractive index can maximize pathogen capture and signal amplification, and will integrate real-time monitoring with scalable synthesis for broad deployment. Combining innovative nanomaterials, microfluidics, and plasmonic sensing, this multidisciplinary work delivers a robust pathway to faster diagnostics, improved sample purification, and early-warning systems against accidental or deliberate biological threats. The outcomes will strengthen public health preparedness, environmental surveillance, and climate-related pathogen monitoring, contributing to Uzbekistan’s sustainable development.
Improvement of the processing technology for gray kaolin raw material used in the production of ceramic sanitary ware
The global sanitary ware market is growing rapidly, driven primarily by global population growth and urbanization. The main raw material for sanitary ware production is kaolin. Uzbekistan has substantial reserves of gray kaolin that can meet local demand and support exports. The physicochemical properties of kaolin are significantly influenced by the characteristics of their geological reserves. Consequently, these properties determine the potential applications of kaolin in various industrial processes. While numerous studies have focused on characterization, beneficiation, and potential uses of kaolin, including some on Uzbekistan’s kaolin, research aimed at developing and optimizing process technologies based on physical and chemical methods such as froth flotation, delamination, and chemical bleaching tailored to Uzbekistan's gray kaolin remains underexplored. Comprehensive research is therefore necessary to characterize crude gray kaolin and implement processing techniques for its full utilization. This project highlights the importance of research on the characterization and processing of Uzbekistan's gray kaolin.
Flagship Research: High-Order Harmonic Generation in Plasmas and Nonlinear Spectroscopy of Materials in Extreme Ultraviolet Region
The Nobel Prize in Physics 2023 was granted “for experimental methods that generate attosecond pulsesof light for the study of the electron dynamics in matter” based on the high-order harmonic generation(HHG) of ultrashort pulses in noble gases. An alternative approach—HHG in laser-induced plasma(LIP)—has been widely developed in various countries following the pioneering experiments led by Prof.Ganeev, the leader of this project. The current project deals with challenges in the HHG that limit itsapplications—to increase the efficiency of the HHG and to increase the dataset of the properties ofmaterials in the short-wavelength range. The overall objective of the project is to develop, a high-ordernonlinear spectroscopy of materials in the extreme ultraviolet (XUV) region. The project will address theinternationally relevant scientific and technological problems of the formation of the coherent XUVsource using the advanced method of HHG in LIP.
RAPID-LIBS – Rapid Analysis for Precision in Industrial Diagnostics using LIBS (Laser Induced Breakdown Spectroscopy)
Project is aimed to introduction and development of laser induced breakdown spectroscopy (LIBS)methods into Uzbekistan for industrial applications, including mining and metal processing. LIBS is aspectrometry analytical technique where emission of a laser-induced plasma is used for qualitative andquantitative elemental analysis. High intense pulsed laser radiation can be used for ignition of plasmaemission on the surface of geological samples, metal parts during production processes, from liquid metalinside high-temperature furnaces and in volume of gaseous media. This defines broad applicability ofLIBS technique in many industrial applications. As an analytical technique, LIBS is known in for theintrinsic simplicity of the experimental arrangement and ability of rapid and remote elemental analysisat large distances, without the need in the time and resource consuming samples preparation. Asresult, development of LIBS provides an attractive alternative to other traditional material contentanalisys techniques.
Development of an internationally competitive acoustic research laboratory applicable to academic and industrial research
The proposed initiative will establish an Acoustic Research Laboratory at New Uzbekistan University,focusing on pioneering both fundamental and applied investigations of advanced acoustic devices andartificial (meta) materials. By harnessing engineered architectures capable of manipulating sound beyondconventional limits, the lab will explore lightweight noise-reduction materials effective in the frequencyrange of 50 to 3200 Hz, transducers for acoustic energy harvesting and wireless transfer, and platformsfor active and passive control of macro- and microscale objects through reconfigurable acousticholography. Strategic partnerships with leading institutions—including ITMO University, HarbinEngineering University, and Tongji University—will support research excellence and a verticallyintegrated training pipeline spanning outreach through doctoral education. Engagement with industrythrough prototyping, characterization, and modeling services will secure co-funding and foster innovationin noise mitigation, medical ultrasound, and energy-autonomous IoT devices. This effort will strengthenUzbekistan’s regional leadership in acoustics, stimulate national research and development, and promotesustainable academic–industry collaboration.
Autonomous inspection by mobile robots in the dangerous environment
This project develops a modular, platform-independent robotic inspection system for autonomous operation in hazardous and unstructured environments such as post-disaster zones, industrial accidents, and aging infrastructure. Current robotic inspection systems fail in unpredictable settings due to limited situational awareness and brittle navigation algorithms. Proposed solution integrates multimodal sensing (LiDAR, thermal, gas detection, cameras), real-time sensor fusion, and adaptive mission planning into a unified framework deployable across wheeled, legged, and aerial robots. The system features onboard AI for environmental risk detection, terrain-aware navigation, and autonomous decision-making under uncertainty. Field validation will demonstrate the technology's effectiveness in simulated disaster scenarios and industrial environments. This research addresses critical gaps in autonomous inspection capabilities, enabling safer and efficient monitoring of dangerous areas while reducing human exposure to life-threatening risks. The platform independent design ensures broad applicability and supports technology transfer to emerging economies, contributing to enhanced disaster preparedness and industrial safety.
Effect of Sm-Sb addition and Hot Extrusion on the Alteration of Mg2Si Particles in Strengthening Al-15%Mg2Si in-situ composite
Al–Mg₂Si composites are widely used in automotive and aerospace fields due to their high strength-toweight ratio, good formability, and corrosion resistance, primarily attributed to Mg₂Si particles. However, coarse, sharp-edged Mg₂Si particles formed during slow solidification can degrade mechanical properties. This study investigates the effects of 0.5 wt.% Samarium (Sm) and 0.2 wt.% Antimony (Sb) additions and hot extrusion on the microstructure and mechanical properties of Al–15 wt.% Mg₂Si composites. Techniques such as OM, SEM/EDS, EBSD, XRD, and LD-DIC were used to analyze microstructural evolution and strain distribution. Results show that Sm–Sb modification and extrusion refine Mg₂Si particle shapes, enhancing tensile strength and ductility. A near-spherical morphology reduces stress concentrations and dislocation motion, improving fracture resistance.
Tech-Enabled Heritage: Enhancing Visits to Uzbekistan’s Historic Sites
The Tech-Enabled Heritage project aims to develop a multilingual digital platform to enhance visitor experiences at Uzbekistan’s historical and cultural landmarks. By integrating QR code and GPS-based technologies, the platform will deliver real-time, location-aware content in Uzbek, English, Russian, and other tourist-friendly languages through mobile application. Verified historical data, cultural narratives, and architectural context will be presented in both text and audio formats to improve accessibility and engagement. This initiative addresses the current lack of interactive and multilingual digital tools for tourists in Uzbekistan. Scientifically, the project contributes to the fields of digital humanities, cultural informatics, and smart tourism technologies. Practically, it supports Uzbekistan’s goals of sustainable tourism, digital innovation, and cultural preservation. Through phased development, the platform will serve as a scalable model that strengthens heritage appreciation and international tourism competitiveness.
AI-Driven Framework for Rapid Digital Twin Development and System Identification of Multicopter Drones
The growing demand for drones in logistics, agriculture, surveillance, and disaster response highlights the need for safe and efficient operation. Digital twin technology is essential for this, relying on accurate flight simulation and control based on precise dynamic models. However, creating these models requires identifying numerous parameters—many of which can’t be obtained theoretically or from specifications. Current system identification methods are often too slow or costly for practical use. This project introduces an AI-based framework to automatically extract key parameters from flight log data with high accuracy. By combining data-driven identification with hybrid grey-box models, it enables rapid digital twin development. Validation will involve real-world drone tests, comparing simulation and actual performance. The project also includes setting up a computational lab and drone testing facility, supporting future research and innovation in drone systems.
AI-Driven Estimation of Urban Air Pollution in Uzbekistan Using Multimodal Image-Based Techniques
This project aims to develop an AI-driven framework for estimating urban air pollution in Uzbekistan using image-based machine learning techniques. Leveraging publicly available street-level and satellite imagery combined with meteorological data, the proposed system will accurately predict PM2.5 and PM10 air quality indices without relying on expensive sensor infrastructure. This approach is especially relevant for Uzbekistan, where real-time pollution monitoring is limited and concentrated only in major cities. The project addresses a critical environmental and public health challenge through a low-cost, scalable, and innovative solution. Over three years, the research will result in a validated prediction model, an open-source AQI dataset, and a prototype tool for deployment in Uzbek cities. Outcomes will contribute to national sustainability goals and international research, with findings published in leading Q1/Q2 Scopus-indexed journals.
Causes of shrinkage, gas and liquation defects in continuously cast blanks manufactured in the electric steel making production of the plant, development and implementation methods to prevent these defects
This project addresses important metallurgical issues involved in the continuous casting of steel billets for seamless pipes used in the oil and gas sector. It aims to identify and eliminate the frequency of common defects (shrinkage, gas pores, liquation, oxide spots, and non-metallic inclusions) through systematic analysis of microstructure, chemistry, and mechanical factors of 32G2 steel billets. By utilizing a microscope and analysis techniques, the research will establish a link between defects and their sources and formation in stages of the process, including smelting, casting, and rolling. A practical output will be knowledge-based recommendations for developing steelmaking and casting processes and steel billets that improve final product performance and reliability. The project has national significance in terms of decreasing defect numbers, replacing imports, and increasing exports of seamless pipe steel for the oil and gas sector. It will also seek to develop new intellectual property and practices in the field, allowing domestic companies to produce quality pipe steel following international standards that enable them to remain globally competitive.
Creation of technology for the development of building materials based on solid and liquid waste of “Uzmetkombinat” JSC enterprise
The project seeks to create advanced technology for producing environmentally friendly construction materials from the solid and liquid waste produced by “Uzmetkombinat” JSC. It focuses on transforming industrial residues—such as slag, sludge, and wastewater by-products—into valuable raw materials for the building industry. Through physicochemical treatment and formulation optimization, the technology will ensure that the final materials achieve high performance in strength, durability, and environmental safety. This initiative responds to the pressing need for sustainable waste management and efficient resource use in Uzbekistan’s metallurgical sector, helping to cut pollution, reduce landfill volumes, and promote a circular economy. Scientifically, the project advances research in waste recycling and materials engineering by developing a scalable, cost-efficient, and eco-conscious process. From a practical perspective, it will allow the enterprise to lower waste disposal expenses while producing marketable building materials that offer both economic and environmental advantages.
