Mr. Enrico Bargagna | Best Researcher Award

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Mr. Enrico Bargagna | Best Researcher Award

University of Pisa | Italy

Dr. Enrico Bargagna is a Post-graduate Research Fellow at the Department of Civil and Industrial Engineering, University of Pisa, Italy, following completion of his M.Sc. (2022-2025) and B.Sc. (2018-2022) in Mechanical Engineering at the same institution. He is currently enrolled in a Ph.D. programme in Mechanical Engineering (2025-2028) within the same department. His research interests centre on the design and optimization of hybrid quantum electro-optical transducers capable of bidirectional microwave-to-optical conversion at millikelvin temperatures, integrating superconducting radio-frequency cavities with electro-optic optical resonators to realise enhanced coupling, improved heat dissipation and mechanical robustness an investigation recently presented in the journal Sensors. His scholarly output includes this peer-reviewed article, and his citation metrics reflect an h-index of 12. He has contributed to a growing corpus of documents (including journal articles, conference proceedings and technical reports) and achieved several citations across his work. His work has been recognised with internal academic awards (e.g., the Best Scholar Award) underscoring his emerging stature in quantum‐engineering interfaces and cryogenic mechanical systems. In conclusion, Dr. Bargagna is developing as a promising early-career researcher advancing hybrid quantum systems through an engineering-mechanics lens and is poised to make impactful contributions to quantum transducer architectures and cryogenic device design.

Profile : Orcid

Featured Publications

Bargagna, E., Delgado, J., Wang, C., Gonin, I., Yakovlev, V. P., Neri, P., Passarelli, D., & Zorzetti, S. (2025). Design and optimization of a hybrid design for quantum transduction. Sensors, 25(20), 6365.

Assist. Prof. Dr. Ying Tang | Best Researcher Award

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Assist. Prof. Dr. Ying Tang | Best Researcher Award

Shenzhen Technology University | China

Dr. Ying Tang is an Assistant Professor at Shenzhen Technology University in the College of Integrated Circuits and Optoelectronic Chips, appointed in March 2024. She earned her Ph.D. in Opto-electronics Information Science and Engineering from South China University of Technology in 2022 and conducted research at the National Laboratory of Solid State Microstructures and the Collaborative Innovation Center of Advanced Microstructures. Her research expertise spans semiconductor optics, single-particle spectroscopy, ultrafast spectroscopy, exciton dynamics, and quantum photonics, with particular focus on perovskite and CdSe/CdS nanocrystals. Dr. Tang has authored 10 high-impact publications with over 526 citations and an h-index of 9, addressing topics such as exciton fine structures, multiexciton emission, electric-field modulation, and low-threshold lasing in nanostructures. Her contributions advance the understanding and control of optical properties in nanoscale materials, bridging fundamental physics with practical optoelectronic applications. She is recognized for pioneering studies in quantum photonics and high-performance nanomaterials, establishing herself as an emerging leader in the field.

Profiles : Research Gate | Orcid

Featured Publications

Tang, Y., Qin, Q., Yang, H., Feng, S., Zhang, C., Zhang, J., Xiao, M., & Wang, X. (2022). Electrical control of biexciton Auger recombination in single CdSe/CdS nanocrystals. Nanoscale.

Zhang, L., Yang, H., Tang, Y., Xiang, W., Wang, C., Xu, T., Wang, X., Xiao, M., & Zhang, J. (2022). High-performance CdSe/CdS@ZnO quantum dots enabled by ZnO sol as surface ligands: A novel strategy for improved optical properties and stability. Chemical Engineering Journal.

Tang, Y., Yin, C., Jing, Q., Zhang, C., Yu, Z.-G., Lu, Z., Xiao, M., & Wang, X. (2022). Quantized exciton motion and fine energy-level structure of a single perovskite nanowire. Nano Letters.

Hu, J., Bi, C., Zhang, X., Lu, Y., Zhou, W., Zheng, Z., Tang, Y., Lu, F., Yao, Z., & Tian, B. (2022). Yellow-light emitted single halide CsPbI3 nanowire. Applied Materials Today.

Yang, H., Zhang, L., Tang, Y., Xiang, W., Wang, X., Xiao, M., Cui, Y., & Zhang, J. (2021). Enhanced multiexciton emission property in gradient alloy core/shell CdZnSeS/ZnS quantum dots: Balance between surface passivation and strain-induced lattice defect. The Journal of Physical Chemistry C.

Dr. Shyamal Mondal | Best Research Article Award

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Dr. Shyamal Mondal | Best Research Article Award

Defence Institute of Advanced Technology | India

Shyamal Mondal is a leading researcher with an h-index of 9, 58 publications, and 293 citations across 235 documents, demonstrating significant contributions in photonics, terahertz technologies, and ultrafast optics. He earned his Ph.D. in Physics and Meteorology from the Indian Institute of Technology Kharagpur and is currently a faculty member at SRM Institute of Science and Technology, Kattankulathur, India. His research focuses on terahertz imaging and antenna design, deep learning for image enhancement, nonlinear optical phenomena, ultrafast fiber lasers, and advanced materials such as carbon nanostructures and MXenes. Dr. Mondal has advanced interdigitated photoconductive antennas, coherent mid-infrared laser sources, and modelocked fiber lasers, integrating theoretical and experimental approaches. He has published in high-impact journals including ACS Applied Optical Materials, Optics Express, and Journal of Applied Physics, and presented his work at international conferences. His contributions have strengthened the fields of terahertz communications, optical nonlinearity, and laser technologies. Dr. Mondal continues to drive innovation, mentoring emerging researchers, and bridging fundamental science with applied photonics solutions, thereby expanding the frontiers of optical and terahertz research.

Profiles : Google Scholar | Orcid | Scopus | Research Gate

Featured Publications

Mondal, S., Jampani, K., Raj, A. R., Roy Chowdhury, D., & Sethi, A. (2025). Implementing W-Net deep learning for terahertz image enhancement and segmentation. Engineering Research Express.

Mondal, S., Raj, A. R., & Saha, S. (2024). Advancements in the use of artificial saturable absorbers for modelocking of 2 µm ultrafast fiber lasers. Annalen der Physik.

Rathinasamy, V., Thipparaju, R. R., Boby, E. N. F., & Mondal, S. (2022). Interdigitated photoconductive antenna for future wireless communications. Microwave and Optical Technology Letters, 64(12), 2189–2196.

Boby, E. N. F., Prajapati, J., Rathinasamy, V., Mukherjee, S., & Mondal, S. (2022). Parametric investigation of interdigitated photoconductive antenna for efficient terahertz applications. Arabian Journal for Science and Engineering, 47(3), 3597–3609.

Mitra, N., Patra, A. K., Singh, S. P., Mondal, S., Datta, P. K., & Varshney, S. K. (2020). Interfacial delamination in glass-fiber/polymer-foam-core sandwich composites using singlemode–multimode–singlemode optical fiber sensors: Identification based on experimental investigation. Journal of Sandwich Structures and Materials.

Mondal, S., Mukherjee, S., Singh, S. P., Rand, S. C., Bhattacharya, S., Das, A. C., & Datta, P. K. (2016). Dynamic gain aperture modelocking in picosecond regime based on cascaded second-order nonlinearity. Optics Express, 24(15), 15274–15285.

Dr. Rongfeng Huang | Best Research Article Award

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Dr. Rongfeng Huang | Best Research Article Award

Fujian Agriculture and Forestry University | China

Dr. Rongfeng Huang is an Associate Professor at the Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, China. With 6 research publications, an h-index of 6, and 416 citations from 406 documents, he has established a strong academic presence in plant developmental biology and molecular signaling. He obtained his B.S. and M.S. degrees from Shandong Normal University, majoring in Biotechnology and Developmental Biology, respectively, and earned his Ph.D. in Cell Biology from the University of Chinese Academy of Sciences. Since 2018, Dr. Huang has been engaged in pioneering research on auxin signaling, plant hormone perception, lateral root formation, and plant stress physiology. His notable works published in Cell and PNAS have advanced understanding of non-canonical auxin signaling pathways and plant endocytosis mechanisms. Dr. Huang’s interdisciplinary approach combines cell biology, metabolomics, and molecular genetics to address key challenges in plant growth regulation and agricultural sustainability. His contributions continue to enhance the scientific understanding of plant signaling networks and promote innovations in crop resilience and productivity.

Profile :  Scopus 

Featured Publications

Huang, R., Zheng, R., He, J., Zhou, Z., Wang, J., Xiong, Y., & Xu, T. (2019). Non-canonical auxin signaling regulates cell division pattern during lateral root development. Proceedings of the National Academy of Sciences of the United States of America, 116(27), 14349–14357.

Wang, L., Cheng, M., Yang, Q., Li, J., Wang, X., Zhou, Q., Nagawa, S., Xu, T., Huang, R., He, J., Li, C., Fu, Y., Liu, Y., Bao, J., Wei, H., Li, H., Tan, L., Gu, Z., Xia, A., Huang, X., Yang, Z., & Deng, X. W. (2019). Arabinogalactan protein–rare earth element complexes activate plant endocytosis. Proceedings of the National Academy of Sciences of the United States of America, 116(28), 14349–14357.

Dou, M., Fan, S., Yang, S., Yu, H., Huang, R., & Feng, X. (2016). Overexpression of AmRosea1 gene confers drought and salt tolerance in rice. International Journal of Molecular Sciences, 18(1), 1–12.

Li, X., Ma, D., Lu, S., Hu, X., Huang, R., Liang, T., Xu, T., Tobin, E. M., & Liu, H. (2016). Blue light- and low temperature-regulated COR27 and COR28 play roles in the Arabidopsis circadian clock. The Plant Cell, 28(11), 2755–2769.

Liu, G., Shao, Q., Huang, R., & Feng, X. (2013). Characterization and expression analysis of DGAT gene family in soybean. Chinese Agricultural Science Bulletin, 29(12), 55–61.

Dr. Awani Bhushan | Best Researcher Award

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Dr. Awani Bhushan | Best Researcher Award

Velllore Institute of Technology, University (Chennai Campus) | India

Dr. Awani Bhushan is an Assistant Professor (Senior Grade) in the School of Mechanical Engineering at Vellore Institute of Technology, Chennai, with an h-index of 6, 33 documents, and 113 citations. He earned his Ph.D. in Machine Design from the Indian Institute of Technology (BHU), Varanasi, and holds prior degrees in machine and mechanical engineering. His research and teaching experience span nuclear engineering, solid mechanics, fracture mechanics, finite element analysis, and reliability assessment, combining analytical, experimental, and numerical approaches. He develops and validates computational models using ANSYS and COMSOL Multiphysics alongside custom FORTRAN and C++ implementations, and applies statistical Weibull-based methods for strength and size-effect characterization. His publications appear in Journal of Nuclear Materials, Journal of Testing and Evaluation, RSC Advances, and other peer-reviewed outlets. Key contributions include Weibull design criteria for nuclear graphite, fracture parameter correlation for unimodular and bimodular graphite, and studies on composites and functionally graded materials. He has secured research funding, filed patents, led collaborative proposals, and mentors students in interdisciplinary projects aimed at energy, defense, and structural-integrity applications. Overall, his work advances computational mechanics and material reliability with practical engineering impact and ongoing scholarly growth.

Profiles : Google Scholar | Scopus | Orcid

Featured Publications

Bhushan, A., & Panda, S. K. (2018). Experimental and computational correlation of fracture parameters KIc, JIc, and GIc for unimodular and bimodular graphite components. Journal of Nuclear Materials, 503, 205–225.

Kumar, H., Tengli, P. N., Mishra, V. K., Tripathi, P., Bhushan, A., & Mishra, P. K. (2017). The effect of reduced graphene oxide on the catalytic activity of Cu–Cr–O–TiO₂ to enhance the thermal decomposition rate of ammonium perchlorate: An efficient fuel oxidizer. RSC Advances, 7(58), 36594–36604.

Bhushan, A., Panda, S. K., Khan, D., Ojha, A., Chattopadhyay, K., & Kushwaha, H. S. (2016). Weibull effective volumes, surfaces, and strength scaling for cylindrical flexure specimens having bi-modularity. Journal of Testing and Evaluation, 44(5), 1978–1997.

Ram, S. C., Chattopadhyay, K., & Bhushan, A. (2023). A literature review on Al–Si alloy matrix based in situ Al–Mg₂Si FG-composites: Synthesis, microstructure features, and mechanical characteristics. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Suman, S., Yadav, A. M., Tomar, N., & Bhushan, A. (2020). Combustion characteristics and behaviour of agricultural biomass: A short review. Renewable Energy – Technologies and Applications.

Suman, S., Yadav, A. M., Bhushan, A., Bhaskara Rao, L., & Rajak, D. K. (2022). Substitution of coking coal with biochar for thermal and metallurgical utilisation. International Journal of Sustainable Energy, 41(11), 1778–1794.*

Assoc. Prof. Dr. Yueguang Gao | Best Researcher Award

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Assoc. Prof. Dr. Yueguang Gao | Best Researcher Award

North University of China | China
Dr. Yueguang Gao is an Associate Professor at the North University of China, specializing in impact dynamics, explosion mechanics, and material fragmentation. He earned his Ph.D. from the State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, and his Bachelor’s degree in Engineering Mechanics from the North University of China. His research focuses on the dynamic fracture of materials under explosive loading, simulation of structural responses under extreme conditions, and theoretical modeling of fragment behavior and velocity distribution. Dr. Gao has published 12 research papers in internationally reputed journals such as the International Journal of Impact Engineering, Defence Technology, and the International Journal of Mechanical Sciences. His scientific contributions have earned him 79 citations and an h-index of 5, reflecting the growing influence of his work in the field of explosion mechanics. He has been recognized with several distinctions, including the National Scholarship (2022) and the North University of China Excellence Scholarship. Through his innovative studies on fragment dynamics and material failure, Dr. Gao continues to contribute significantly to the advancement of defense technology and applied mechanics research.
Profiles : Scopus | Orcid

Featured Publications

Gao, Y., Fu, J., Wu, S., Lan, X., Ren, K., & Yang, R. (2025). Effects of end caps of cylindrical casing on fragment velocity distribution. Defence Technology.

Gao, Y., Fu, J., Wu, S., Feng, S., Zhao, T., Chen, Z., Li, Y., & Liu, H. (2024). A theoretical model for the oblique impact of fragments. International Journal of Impact Engineering, 184, 104837.

Gao, Y., Feng, S., Xiao, X., Feng, Y., & Huang, Q. (2023). Fragment characteristics from a cylindrical casing constrained at one end. International Journal of Mechanical Sciences, 248, 108186.

Gao, Y., Feng, S., Xiao, X., Zhang, B., & Huang, Q. (2023). Fragment characteristics of cylinder with discontinuous charge. International Journal of Impact Engineering, 173, 104479.

Gao, Y., Feng, S., Huang, G., Feng, Y., & Huang, Q. (2022). Experimental study of the oblique impact and ricochet characteristics of cylindrical fragments. International Journal of Impact Engineering, 170, 104334.

Mr. Weijiang Xu | Best Researcher Award

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Mr. Weijiang Xu | Best Researcher Award

Guilin University of Electronic Technology | China

Dr. Weijiang Xu is a Lecturer at the School of Optoelectronic Engineering, Guilin University of Electronic Technology. He earned his Doctor of Science (2024) and Master of Science (2018) in Physics from Harbin Institute of Technology, following his Bachelor’s degree from Lingnan Normal University in 2016. His research centers on optical fiber sensors, quantum dot photonics, and upconversion luminescence for multifunctional sensing applications. Dr. Xu has authored 17 scientific documents with over 120 citations and maintains an h-index of 8, reflecting his growing influence in the field of optical materials and photonic sensing. His representative works, published in leading journals such as Optics Express, Optics Letters, Journal of Lightwave Technology, and Optics Communications, explore innovative fiber-based devices for temperature, curvature, and flow sensing. He has also contributed to the development of several patented optical fiber sensing technologies in China. Dr. Xu’s recent advancements include bubble-tunable and calibration-free optical fiber sensors employing quantum dots-filled liquid cores. His research continues to bridge nanomaterials with optical engineering for advanced environmental and biomedical sensing. With a record of impactful publications and technological innovation, Dr. Xu is emerging as a promising scholar in the field of optoelectronic sensing.

Profile :  Scopus 

Featured Publications

Xu, W., Li, Y., Shang, J., Wang, Y., Hou, L., Liu, Y., & Qu, S. (2022). Optical fiber sensor based on upconversion luminescence for synchronous temperature and curvature sensing. Optics Express, 30(18), 33136–33136.

Xu, W., Qu, J., Liu, Y., Bai, J., Li, Y., & Qu, S. (2023). Optical fiber inclinometer with dynamically controllable excitation length of quantum dots liquid-core waveguide based on a photo-controlled bubble. Optics Letters, 48(6), 1403–1406.

Xu, W., Qu, J., Liu, Y., Bai, J., Li, Y., & Qu, S. (2023). A calibration-free fiber sensor based on CdZnSe/ZnSe/ZnS quantum dots for real-time monitoring of human thermal activities. Measurement, 206, 112315.

Xu, W., Liu, Y., Li, Y., & Qu, S. (2024). Horizontal clinometer based on a movable bubble in the arc-shaped quantum dots liquid cavity. Journal of Lightwave Technology, 42(6), 2193–2199.

Qu, J., Zhang, Y., Ling, M., & Xu, W.* (2025). Heat-typed fiber liquid flow sensor with wide sensing range and high sensitivity. Journal of Lightwave Technology, 43(1), 369–375.

Assoc. Prof. Dr. Xiaoping Yi | Best Researcher Award

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Assoc. Prof. Dr. Xiaoping Yi | Best Researcher Award

University of Science and Technology Beijing | China

Dr. Xiaoping Yi is a materials scientist specializing in first-principles calculations and molecular dynamics of lithium batteries and solid electrolytes, with strong experience in both simulation and experimental design. She earned her PhD in Chemistry from the University of Science and Technology Beijing (2018–2023) and also conducted research at the University of Birmingham, UK, focusing on novel inorganic solid electrolytes, polymer electrolyte design, and silicon-based anodes. After completing her doctorate, she joined the Institute of Physics at the Chinese Academy of Sciences as a postdoctoral researcher (2023–2025), and in 2025 she became Associate Professor at the University of Science and Technology Beijing. Her research interests include nanomaterials design, solid-state lithium/sodium ion batteries, interface electrochemistry, catalytic mechanisms, synchrotron spectroscopy, electron microscopy, and computational materials science. She has published over 25 peer-reviewed SCI articles in high-impact journals (e.g. Advanced Energy Materials, Energy Storage Materials), and her work is recognized for integrating theory and experiment to address performance and safety trade-offs in all-solid-state batteries. Her representative recent work is “Achieving Balanced Performance and Safety for Manufacturing All‐Solid‐State Lithium Metal Batteries by Polymer Base Adjustment” (Adv. Energy Mater., 2025). Her current h-index is approximately 13 with ~1,164 citations (estimated) according to public metrics. She has received recognition for her contributions in battery materials and solid-state electrolytes. Looking ahead, she aims to drive breakthroughs in safe, high-energy density solid-state battery systems via multiscale modeling and experimental validation.

Profile : Orcid

Featured Publications

Yi, X., Li, H.*, Yang, Y., Xiao, K., Zhang, S., Wang, B., Wu, N., Cao, B., Zhou, K., Zhao, X., Leong, K. W., et al. (2025). Achieving balanced performance and safety for manufacturing all-solid-state lithium metal batteries by polymer base adjustment. Advanced Energy Materials, 15(3), 2404973.

Yi, X., Li, H.*, et al. (2025). Strategically tailored polyethylene separator parameters enable cost-effective, facile, and scalable development of ultra-stable liquid and all-solid-state lithium batteries. Energy Storage Materials, 77, 104191.

Chen, N., Yi, X., Liang, Y., et al. (2025). Terminal steric shielding resolves solvent co-intercalation degradation: Molecularly tailored weak-solvation electrolytes for structurally durable K-ion batteries. Chemical Engineering Journal. (Accepted).

Qi, G., Yi, X.*, et al. (2025). Electrochemical-mechanical coupled phase-field modeling for lithium dendrite growth in all-solid-state lithium metal batteries. Journal of Energy Chemistry, 110, 80–87.

Chen, N., Yi, X., Liang, Y., et al. (2024). Dual-steric hindrance modulation of interface electrochemistry for potassium-ion batteries. ACS Nano, 18(32), 32205–32214.

Prof. Stefano Columbu | Best Research Article Award

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Prof. Stefano Columbu | Best Research Article Award

University of Cagliari | Italy

Stefano Columbu, Associate Professor at the University of Cagliari, is a distinguished researcher recognized with the Best Research Article Award for his contributions to mineralogy, petrography, geochemistry, and cultural heritage conservation. He has authored over 150 publications, including more than 90 in indexed international journals, with an H-index of 24, over 1,100 citations, and 50 Scopus-indexed documents.Dr. Columbu’s research focuses on the geochemical, mineralogical, and petrographic characterization of geomaterials, petroarchaeometric studies of archaeological artifacts, and the development of sustainable materials for restoration of historic monuments. He has conducted in-depth studies at key sites such as Villa Adriana, Tharros, Nora, and Forum Traiani, providing insights into the provenance, composition, and durability of ancient building materials.As a leader in national and international projects funded by PRIN, INTERREG, PON-AIM, and RAS L.7/2007, Dr. Columbu has advanced heritage science through innovative, non-destructive analytical methods. He also teaches courses in mining georesources, petroarchaeometry, and cultural heritage conservation, mentoring the next generation of geoscientists.The Stefano Columbu Best Research Article Award honors his exceptional research, high-impact publications, and contributions to preserving cultural heritage with scientifically rigorous and sustainable approaches.

Profiles :  Scopus | Orcid

Featured Publications

Ramacciotti, M., Gallello, G., Columbu, S., Fancello, D., Díez-Castillo, A., García-Puchol, O., Pastor, A., & Cervera, M. L. (2023). Smartphone photos as a non-destructive approach to characterise siliceous artefacts. Science & Technology of Archaeological Research, 9(1), 1–15.

Montesano, G., Verde, M., Columbu, S., Graziano, S. F., Guerriero, L., Iadanza, M. L., Manna, A., Rispoli, C., & Cappelletti, P. (2022). Ancient Roman mortars from Anfiteatro Flavio (Pozzuoli, Southern Italy): A mineralogical, petrographic and chemical study. Coatings, 12(11), 1712.

Columbu, S., Depalmas, A., Brodu, G., Gallello, G., & Fancello, D. (2022). Mining exploration, raw materials and production technologies of mortars in the different civilization periods in Menorca Island (Spain). Minerals, 12(2), 218.

Columbu, S., Picchizzolu, G. M. F., & Cazzani, A. (2020). The construction materials and static-structural aspects of the Budello tower (Teulada, southwest Sardinia, Italy). In Proceedings of FORTMED 2020 (pp. 1–8).

Buosi, C., Columbu, S., Ennas, G., Pittau, P., & Scanu, G. G. (2019). Mineralogical, petrographic, and physical investigations on fossiliferous Middle Jurassic sandstones from central Sardinia (Italy) to define their alteration and experimental consolidation. Geoheritage, 11, 1417–1433.

Mr. Nuriddin Safoev | Best Researcher Award

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Mr. Nuriddin Safoev | Best Researcher Award

Tashkent University of Information Technology | Uzbekistan

Nuriddin Safoev is a dedicated researcher in computer engineering and information security, currently working as an Assistant at the Department of Information Security, Tashkent University of Information Technology, Uzbekistan. He obtained his Master of Engineering in Computer Engineering from Kumoh National Institute of Technology, South Korea, and a Bachelor’s degree in Computer Engineering from the same university where he now teaches. His research primarily focuses on quantum-dot cellular automata (QCA), nanocomputing, hardware security, and cryptographic algorithms for trustworthy communication. Nuriddin Safoev has published more than 20 research papers, accumulating 265 citations and maintaining an h-index of 8 on Scopus. His recent contributions include efficient QCA-based nanoprocessor designs and encryption algorithms that enhance communication security and computational efficiency. His work has appeared in reputable journals such as Physica Scripta, China Communications, and the International Journal of System Assurance Engineering and Management. Safoev’s research aims to bridge the gap between secure computation and nanoscale technology, contributing to the advancement of next-generation communication and computing systems. His scholarly output and consistent research quality highlight his commitment to innovation and excellence in the fields of information security and computational nanotechnology.

Profiles : Google Scholar | Scopus | Orcid

Featured Publications

Khan, A., Safoev, N., Shaw, R. K., Maxmudova, D., Mardov, S., & Isakulova, N. (2025). Efficient two-pair-two-rail checker design using quantum dot cellular automata for nanoprocessors. Physica Scripta, 100(6), add6e2.

Das, R., Khan, A., Arya, R., Ilkhom, B., Bakhtiyor, A., Safoev, N., & Khudoykulov, Z. (2024). SSKA: Secure symmetric encryption exploiting Kuznyechik algorithm for trustworthy communication. International Journal of System Assurance Engineering and Management, 15(3), 1–12.

Khan, A., Safoev, N., & Arya, R. (2023). Modeling of Excess‐3 to BCD code converter for nano system using quantum‐dot cellular automata technology. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 36(3), e3055.

Safoev, N. (2021). Design of fault tolerant bifunctional parity generator and scalable code converters based on QCA technology. International Journal of Information Technology, 13(4), 1431–1441.

Safoev, N., & Jeon, J.-C. (2020). A novel controllable inverter and adder/subtractor in quantum-dot cellular automata using cell interaction based XOR gate. Microelectronic Engineering, 230, 111197.