Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

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Mr. Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

Kiost | South Korea

Mr. Khurshid Hussain is a dynamic researcher whose work spans advanced automotive engineering, semiconductor design, integrated sensing and communications, and AI-driven signal processing, establishing him as a multidisciplinary contributor across next-generation wireless, cybersecurity, and intelligent vehicular systems. He holds a Master’s degree in Advanced Automotive Engineering from Sun Moon University, South Korea, where he specialized in high-performance millimeter-wave circuit design with emphasis on 60 GHz digital variable-gain amplifiers, beamforming architectures, low-power attenuators, and chip-level ISAC systems for secure and intelligent communication. His research extends into geomatics and remote sensing, focusing on multimodal mapping using optical, SAR, and LiDAR streams, change detection, 3D reconstruction, and uncertainty-aware geospatial pipelines, alongside self-supervised and weak-supervised learning approaches for large-scale spatial data modeling. He is the inventor of a patented transistor-array-based variable attenuator and has authored an expanding collection of peer-reviewed publications in leading journals such as Electronics, IEEE Access, Applied Sciences, and IEEE Transactions, addressing topics ranging from radar–communication co-design and ultrasonic 3D beamforming sensors to predictive maintenance of aerospace components, OTFS-based V2X ISAC architectures, and AI-enhanced signal intelligence. His scholarly profile includes 9 documents, 77 citations, and an h-index of 4, reflecting his growing influence in mmWave IC design, wireless sensing, and AI-integrated communication. Khurshid has delivered technical presentations at major international conferences covering maritime IT convergence, high-frequency amplifier design, battery analytics, advanced beamforming, and power-efficient RF front-end systems. His expertise spans Cadence, HFSS, Python, MATLAB, OrCAD, cybersecurity tools, and vector network analyzers, reinforced by experience in transceiver integration, AI-chip convergence, intrusion detection systems, battery research, and embedded engineering. Earlier, he completed his B.Sc. in Electrical Engineering with a focus on IoT-based renewable-energy automation, where he developed sensor-driven, cloud-connected, and energy-efficient systems. Fluent in English and active in multicultural environments, Khurshid is known for his creativity, leadership, communication skills, and passion for innovation, continually advancing secure, intelligent, and energy-efficient technologies for the automotive, wireless, and sensing industries.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Hussain, K., & Yoo, J. (2025). Low-latency marine-based OTFS echo parameter estimation enabled by AI. Sensors, 25(23), Article 7104. DOI: 10.3390/s25237104

Hussain, K., Ali, E. M., Hussain, W., Raza, A., & Elkamchouchi, D. H. (2025). Robust OTFS-ISAC for vehicular-to-base station end-to-end sensing and communication. Electronics, 14(21), Article 4340. DOI: 10.3390/electronics14214340

Hussain, K., Jeon, W., Lee, Y., Song, I., & Oh, I. (2025). CMOS-compatible ultrasonic 3D beamforming sensor system for automotive applications. Applied Sciences, 15(16), Article 9201. DOI: 10.3390/app15169201

Hussain, K., & Oh, I. (2024). Joint radar, communication, and integration of beamforming technology. Electronics, 13(8), Article 1531. DOI: 10.3390/electronics13081531

Hussain, K., & Oh, I. (2024). Review of joint radar, communication, and integration of beam-forming technology. Preprint. DOI: 10.20944/preprints202404.0208.v1

Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

University of Lisbon | Portugal

Dr. Rasool Taban, Ph.D, is a distinguished Data Scientist currently affiliated with Technical University Institute – University of Lisbon, where he continues to advance the frontiers of Artificial Intelligence and Data Science. His academic journey began in Computer Engineering and evolved into a profound focus on Artificial Intelligence during his M.Sc. studies at the University of Tehran, where he graduated with honors in Artificial Intelligence and Robotics. His early research centered on developing an automated screening system designed to assist in diagnosing Autism Spectrum Disorder in children, demonstrating his ability to merge technology with meaningful social impact. Dr. Taban recently earned his Industrial Ph.D. at Institute – University of Lisbon, funded by the prestigious Marie Curie BIGMATH project, where his research specialized in addressing one of the most persistent challenges in statistical learning-imbalanced data. He successfully developed three novel balancing techniques, each tailored to optimize performance across different variable classes, making significant contributions to data reliability and analytical accuracy in machine learning models. With two published journal papers indexed in Scopus and SCI, Dr. Taban’s scholarly work reflects both academic rigor and applied innovation. He has also participated in multiple research and industry projects, collaborating with institutions such as the SDG Group, CIF/N26, Evenco International, and CTAD–Tehran Autism Center. His involvement as part of the editorial team for the International Conference on Robotics and Mechatronics (ICRoM) further underscores his leadership in advancing interdisciplinary research. Dr. Taban’s primary research interests include imbalanced data, statistical learning, data science, and financial data modeling. His contributions have not only expanded methodological knowledge in statistical computing but have also bridged the gap between theoretical frameworks and real-world data-driven applications, reflecting his commitment to excellence in both academia and industry.

Profiles:  Google Scholar | Linked In

Featured Publications

Taban, R., Nunes, C., & Oliveira, M. R. (2023). RM-SMOTE: A new robust balancing technique.

Taban, R., Nunes, C., & Oliveira, M. R. (2025). Mixed-robROSE: A novel balancing technique tailored for mixed-type datasets.

Bozorgnia, F., Arakelyan, A., & Taban, R. (2023). Graph-based semi-supervised learning for classification of imbalanced data. Submitted to Conference ENUMATH.

Shahri, M. A., & Taban, R. (2021). ML revolution in NLP: A review of machine learning techniques in natural language processing. Journal of Applied Intelligent Systems & Information Sciences (JAISIS), 2(1), 2.

Taban, R., Parsa, A., & Moradi, H. Tip-toe walking detection using CPG parameters from skeleton data gathered by Kinect. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 9).

Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

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Assoc Prof. Dr. Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

Taiyuan University of Technology | China

Assoc Prof. Dr. Yongsheng Wang is an Associate Professor in the College of Materials Science & Engineering at Taiyuan University of Technology, China. His research focuses on alloy materials and coating design, fabrication, and characterization, including high-entropy alloys, additive manufacturing, diamond coatings, and surface treatments. He obtained his Ph.D. from the University of Science & Technology Beijing and completed postdoctoral research at Beihang University, with a visiting scholar experience at Purdue University, United States. Dr. Wang has made significant contributions to the development of advanced alloy systems and surface engineering technologies. He has published over 60 peer-reviewed scientific papers in reputed international journals, authored several high-impact studies on metallic glass composites, Ti-based alloys, and high-entropy materials, and holds nine patents, including one granted in the United States. His work has received multiple financial supports from the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, the Shanxi Provincial Natural Science Foundation, and the State Key Laboratory of Advanced Metal Materials. With an impressive h-index of 18, over 1,013 citations, and approximately 91 research documents, his research has established him as a leading expert in materials science. Dr. Wang’s technical expertise covers a wide range of experimental techniques such as scanning electron microscopy, X-ray diffraction, nanoindentation, and additive manufacturing, contributing to the understanding and optimization of mechanical properties, microstructures, and performance of next-generation alloy materials.

Profiles: Scopus | Orcid 

Featured Publications

Qi, J., Wu, Y., Zhang, C., Yu, S., Wang, Y., Liu, Y., & Hei, H. (2025). Ultraviolet photodetector of TiO₂ film in different phase on various substrates. Ceramics International.

Mu, Y., Liang, Y., Sheng, J., Zhang, C., Guo, Z., Yang, G., Sun, T., Wang, Y., & Lin, J. (2025). A novel approach to coating for improving the comprehensive high-temperature service performance of TiAl alloys. Journal name, volume(issue), page range.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Microstructural evolution and densification behavior of high-Nb TiAl produced by powder forging.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Low-temperature deposition of CVD diamond films on HfNbTaMo medium entropy alloy: Morphology, process and wear properties. Surface and Coatings Technology, 509, 130887.

Wang, Y., Hou, M., Huang, Z., Xu, Y., Tan, C., & Xiao, H. (2025). Effect of heat treatment on microstructure and mechanical properties of a new alpha-titanium alloy Ti-6.0Al-3.0Zr-0.5Sn-1.0Mo-1.5Nb-1.0V. Journal of Materials Engineering and Performance, 34, 12348–12358.

Martin Ferrand| Statistical Modeling and Simulation | Best Researcher Award

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Dr. Martin Ferrand | Statistical Modeling and Simulation | Best Researcher Award

EDF R&D | France

Dr. Martin Ferrand is an accomplished researcher and engineer whose academic and professional journey has been defined by excellence in fluid dynamics, smoothed particle hydrodynamics (SPH), and computational modelling, and he is currently affiliated with the University of Manchester in the MACE Department, where he has undertaken advanced research as part of his MPhil studies, focusing on SPH with the specialized software SPARTACUS developed at EDF R&D; his academic foundations were laid at École des Ponts ParisTech, one of France’s most prestigious engineering institutions, where he specialized in mechanics, fluid mechanics, and data processing, complemented by intensive preparatory studies in advanced mathematics and physics at Lycée du Parc, Lyon, following his French Scientific Baccalaureate with distinction in 2004, which marked the start of a career shaped by intellectual rigor and scientific curiosity. Professionally, Ferrand has gained diverse and impactful experience, including at EDF R&D in Chatou, France, where he developed turbulence models incorporating buoyancy effects and enhanced the hydrodynamic reproduction of the Berre lagoon using TELEMAC3D, and at Imperial College London, where he expanded his expertise into stochastic processes by designing models to reproduce rainfall patterns for optimizing sewage infrastructure, while his immersion at Bouygues Construction gave him early exposure to industry practices, broadening his adaptability. His academic impact is evident through a strong research record comprising 70 scholarly documents, collectively cited 749 times, with an h-index of 11, reflecting the recognition, influence, and sustained relevance of his work in computational and environmental fluid mechanics; his expertise extends across theoretical, computational, and applied domains, establishing him as a versatile contributor to advancing both scientific understanding and engineering practice. In addition to his technical accomplishments, Ferrand is multilingual, fluent in French and English with working knowledge of German, enabling him to collaborate effectively in international research environments, while his interests outside academia, including football, cooking, and model train construction, showcase his creativity, discipline, and appreciation for teamwork, all of which complement his professional excellence. Overall, Martin Ferrand stands as a dedicated scholar and engineer whose combination of intellectual achievement, technical expertise, and international experience continues to make a significant contribution to his field and positions him as a rising figure in the global scientific community.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“Unified semi‐analytical wall boundary conditions for inviscid, laminar or turbulent flows in the meshless SPH method”

“Unified semi-analytical wall boundary conditions applied to 2-D incompressible SPH”

“An innovative method based on CFD to simulate the influence of photovoltaic panels on the microclimate in agrivoltaic conditions”

“A time-step-robust algorithm to compute particle trajectories in 3-D unstructured meshes for Lagrangian stochastic methods”

“Unsteady open boundaries for SPH using semi-analytical conditions and Riemann solver in 2D”

Hexin Zhang | Descriptive and Inferential Statistics | Best Paper Award

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Dr. Hexin Zhang | Descriptive and Inferential Statistics | Best Paper Award

Dr. Hexin Zhang | Harbin Engineering University | China

Dr. Hexin Zhang serves as an Associate Professor and Ph.D. Supervisor at the School of Materials Science and Chemical Engineering, Harbin Engineering University. His academic journey has been guided by a dedication to advancing the field of high-temperature composite materials, superalloys, and additive manufacturing. With consistent contributions to research and education, Dr. Zhang has established himself as a recognized scholar whose work bridges fundamental understanding with industrial application. His expertise reflects not only in his technical research but also in the mentorship of students and the leadership of collaborative projects. Through his professional efforts, he has nurtured an academic path marked by innovation, curiosity, and the pursuit of impactful scientific progress. His work remains committed to developing solutions that align with the evolving challenges of materials science while setting benchmarks that inspire colleagues and students alike across research and industrial communities.

Profile

Scopus

Education

Dr. Zhang pursued rigorous academic training in materials science, which laid the foundation for his impactful career. His undergraduate education provided a comprehensive grounding in chemistry and material fundamentals, equipping him with the tools to navigate complex research challenges. His postgraduate journey deepened this knowledge through advanced study in high-temperature materials and structural applications, allowing him to build expertise in addressing technical frontiers of engineering innovation. The doctoral training he received emphasized both theoretical understanding and experimental practice, guiding him to investigate emerging material systems with precision and creativity. His educational background combines strong academic discipline with applied problem-solving, reinforcing his ability to contribute meaningfully to both scientific discovery and industrial implementation. This solid academic pathway has directly shaped his role as a researcher, educator, and supervisor, positioning him to guide future generations while continuing to explore new research possibilities in his chosen fields.

Experience

Dr. Zhang has successfully led and contributed to projects supported by various funding bodies, including national foundations, special research programs, and regional initiatives. His portfolio includes collaborations with both academic and industrial partners, reflecting his commitment to transforming laboratory findings into practical technologies. Through these roles, he has gained invaluable experience in project management, cross-disciplinary teamwork, and academic leadership. His efforts span from fundamental research into high-performance materials to applied studies that directly serve industrial needs. By working with industry collaborators, he has fostered the integration of cutting-edge knowledge into real-world applications, enhancing technological progress in key sectors. His role as a Ph.D. Supervisor highlights his ability to mentor students and nurture talent, ensuring the sustainability of research excellence. Collectively, his experience exemplifies a dynamic balance between scholarly inquiry, practical application, and academic mentorship within the evolving domain of materials science.

Research Interests

Dr. Zhang’s research interests revolve around the development and optimization of high-temperature composite materials, superalloys, and additive manufacturing techniques. He explores structural design strategies that improve material performance under demanding conditions, with particular emphasis on durability, thermal stability, and mechanical resilience. His work aims to refine the performance of engineering materials to meet the growing challenges of modern industries such as aerospace, energy, and advanced manufacturing. He also investigates innovative methods in additive manufacturing to enhance precision, reduce costs, and create complex structures that were previously unattainable with conventional techniques. By combining experimental approaches with theoretical insights, his research offers comprehensive solutions that bridge academic exploration and industrial need. This multidisciplinary focus underscores his commitment to fostering new knowledge while addressing practical challenges, making his contributions relevant both in academia and in fields that depend on advanced material technologies.

Award & Recognitions

Dr. Zhang has received recognition for his contributions to scientific research and academic leadership. His achievements have been acknowledged through competitive research grants, invitations to contribute to academic committees, and opportunities to collaborate on high-impact projects. These distinctions reflect his capacity to lead with innovation and to make lasting contributions within his area of expertise. His consistent pursuit of excellence, coupled with his ability to align research with industrial needs, highlights his distinguished role within the scientific community. His awards and honors not only represent personal success but also underscore the collective progress of his teams and collaborators. Each recognition reinforces the importance of his research in advancing material science applications, while also motivating future endeavors aimed at solving critical technological challenges. His professional acknowledgments illustrate his standing as a respected scholar and an influential contributor to the global research landscape.

Publication Top Notes

Impact of Secondary γ’ Precipitate on the High-Temperature Creep Properties of DD6 Alloy

Journal: Metals and Materials International
Authors: Xiaopeng Li, Shan Yu, Yao Huang, Yuqi Wang, Hexin Zhang, Chengzhi Zhao

Microstructural Evolution and Its Effect on Tensile Properties of 10Cr-2W-3Co Martensitic Steel During Thermal Exposure

Journal: Materials Today Communications
Authors: Yuqi Wang, Yihan Zhao, Yao Huang, Shan Yu, Jiaxin Shang, Chengkun Yang, Hexin Zhang, Chengzhi Zhao

Microstructure Evolution and Mechanical Properties of Ti-6Al-4V Alloy Fabricated by Directed Energy Deposition Assisted with Dual Ultrasonic Vibration

Journal: Materials Science and Engineering A
Authors: Fang Chao Peng, Chunhuan Guo, Fengchun Jiang, Hexin Zhang, Sergey Konovalov

Effect of powder particle size on the microscopic morphology and mechanical properties of 316 L stainless steel hollow spheres

Journal: Granular Matter
Authors: Jianliang Li, Xu Cui, Qianfei Sun, Chunhuan Guo, Fengchun Jiang, Hexin Zhang

Study on Hot-Compressive Deformation Behavior and Microstructure Evolution of 12Cr10Co3MoWVNbNB Martensitic Steel

Journal: Steel Research International
Authors: Yuqi Wang, Yao Huang, Shan Yu, Chengkun Yang, Hexin Zhang, and Chengzhi Zhao

Conclusion

Dr. Zhang’s academic journey illustrates a consistent pursuit of excellence in scientific exploration, technological innovation, and educational mentorship. His contributions to high-temperature materials, superalloys, and additive manufacturing highlight his ability to merge theoretical knowledge with practical application, thereby fostering advancements that resonate across industries and research domains. As an active leader in research projects and an accomplished author of widely cited publications, he exemplifies the qualities of a researcher committed to addressing contemporary challenges. His mentorship of students and collaborations with industrial partners further amplify the impact of his work, ensuring its continued relevance and contribution to both knowledge and application. In light of his achievements, he stands as a highly deserving candidate for recognition, embodying the spirit of academic excellence, innovation, and professional dedication. His continued efforts will undoubtedly shape the future trajectory of materials science and inspire new generations of researchers.

Ezgi Yoldas | Mathematical Statistics | Best Researcher Award

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Dr. Ezgi Yoldas | Mathematical Statistics | Best Researcher Award

Dr. Ezgi Yoldas | Ege University | Turkey

Dr. Ezgi Yoldas is an accomplished astrophysicist whose academic and research career reflects a deep commitment to advancing knowledge in the field of stellar activity and astrophysical phenomena. She has devoted her career to understanding the mechanisms that govern stellar flares, chromospheric activity, and pulsations in various types of stars. Her research spans observational astronomy, astrophysical modeling, and the development of statistical approaches to stellar data analysis. Through her publications in prestigious journals and participation in international collaborations, she has contributed valuable insights into stellar evolution and magnetic activity. Beyond research, she has been actively engaged in science communication and public outreach, bringing astronomy closer to the broader community. With her strong academic foundation, innovative research, and dedication to scientific advancement, Dr. Yoldas stands out as a leading figure in her field and an inspiring scientist who bridges the gap between fundamental astrophysical theory and practical astronomical observations.

Profiles

Orcid
Scopus

Education

Dr. Ezgi Yoldas has pursued her education with excellence at Ege University in Turkey, where she has built a strong foundation in astronomy and astrophysics. She completed her undergraduate degree in Astronomy and Space Sciences, followed by a master’s degree focusing on chromospheric activity in stars observed by the Kepler mission. Her thesis analyzed flare activity across a wide spectral range, modeling flare parameters and exploring their correlation with stellar characteristics. She continued her doctoral studies in astrophysics at the same institution, further refining her expertise in stellar magnetic activity, flare behavior, and pulsational properties of different stellar systems. Throughout her academic journey, she consistently demonstrated outstanding performance and a passion for scientific inquiry. Her educational path reflects her strong dedication to the pursuit of astrophysics and her commitment to contributing to the advancement of astronomical research through both theoretical modeling and observational techniques.

Experience

Dr. Ezgi Yoldas has accumulated extensive experience in astrophysics research, combining long-term academic studies with active participation in international scientific collaborations. She has worked on multiple TÜBİTAK-supported projects, contributing to the study of flare saturation levels, mass–radius relations, and the impact of stellar rotation on magnetic activity. Her professional journey also includes the development and application of the OPEA model for solar and stellar flare studies, which has become a notable aspect of her research profile. Beyond her scientific research, she has actively engaged in science outreach, taking part in public science festivals and leading workshops to promote astronomy education. Her professional activities demonstrate a balance of advanced astrophysical research, mentoring, and public engagement. By contributing both academically and socially, she has built a diverse professional profile that highlights her ability to work effectively in both specialized research environments and broader science communication platforms.

Research Interests

Dr. Ezgi Yoldas has established her research interests in stellar astrophysics, with a focus on stellar magnetic activity, flare behavior, and pulsational properties in different types of stars. Her studies cover the analysis of eclipsing binaries, solar-type pulsating stars, flare energy distributions, and the long-term evolution of stellar activity. She is particularly interested in how chromospheric activity manifests across different stellar environments and how stellar rotation and magnetic fields shape the behavior of stars. By integrating photometric analysis, spectroscopic data, and statistical modeling, her research aims to uncover the physical mechanisms behind stellar variability. Additionally, she has contributed to studies of solar flare behavior, linking stellar processes to solar phenomena, thus bridging stellar astrophysics with heliophysics. Her interest in combining observational astronomy with computational modeling has positioned her as a versatile researcher contributing valuable insights to the understanding of stellar dynamics, variability, and magnetic activity across the cosmos.

Awards & Recognitions

Dr. Ezgi Yoldas has been supported and recognized by prestigious national programs throughout her academic career. She has received multiple fellowships from TÜBİTAK, including graduate and doctoral research grants under the Bilim İnsanı Destek Programları Başkanlığı. Her participation in projects under the 1001 and 1002 research schemes has enabled her to contribute actively to astrophysics and gain recognition for her role in advancing stellar studies. She has also taken leadership roles in TÜBİTAK science festivals and outreach programs, demonstrating her commitment not only to research but also to science communication and education. These awards and fellowships highlight her dual contributions to both the advancement of astrophysical knowledge and the promotion of public understanding of science. Through these achievements, she has demonstrated excellence in research, innovation in scientific exploration, and dedication to the development of astronomy within both academic and societal contexts.

Publication Top Notes

Long-term flare energy variation driven by the dipole moment of solar magnetic field

Journal: Publications of the Astronomical Society of Australia 
Authors: Ezgi Yoldas, Hasan Ali Dal

Variations of flare energy release behaviour and magnetic loop characteristics versus absolute stellar parameters

Journal: Monthly Notices of the Royal Astronomical Society 
Authors: E. Yoldas, H. A. Dal

Unexpected stratification in the equivalent-duration distributions of flare stars

Journal: Monthly Notices of the Royal Astronomical Society 
Authors: E. Yoldas, H. A. Dal

Analysis of seven low-mass eclipsing binaries discovered by the Kepler mission

Journal: Monthly Notices of the Royal Astronomical Society
Authors: Orkun Özdarcan, Hasan Ali Dal, Esin Sipahi Kılıç, Demet Tutar Özdarcan, Ezgi Yoldas

V1130 Cyg ve V461 Lyr Örten Çift Sistemlerinin Sergilediği Aktivitenin Doğası

Journal: Turkish Journal of Astronomy and Astrophysics 
Authors: Ezgi Yoldas, Ali Dal

Conclusion

Dr. Ezgi Yoldas exemplifies the qualities of an outstanding researcher, educator, and science communicator. Her academic background, combined with her research achievements, reflects a career dedicated to uncovering the complexities of stellar activity and contributing meaningful insights to astrophysics. Her participation in numerous projects, high-quality publications, and active involvement in science communication initiatives highlight her as a scientist with both intellectual depth and social responsibility. Through her interdisciplinary approach, she bridges observational techniques, theoretical models, and computational methods, making her contributions valuable not only for academic advancement but also for broader applications in astrophysics and space sciences. With her dedication, achievements, and vision for the future, Dr. Yoldas is highly deserving of recognition and stands as an inspiring candidate for awards that honor excellence and innovation in research.