Fırat Enver Kesmez | Civil Engineering | Best Researcher Award

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Mr. Fırat Enver Kesmez | Civil Engineering | Best Researcher Award

Research Assistant, İzmir Institute of Technology, Turkey 👤

Fırat Enver Kesmez is a Research Assistant at the İzmir Institute of Technology, specializing in transportation engineering. His research focuses on public transit planning, smart mobility, and big data analytics. With a background in civil engineering, he integrates computational modeling and data-driven methodologies to enhance urban mobility systems. His expertise spans mode shift estimation, micromobility data utilization, and transit network optimization. His contributions to academic research, industry projects, and teaching demonstrate his commitment to advancing sustainable and efficient transportation solutions.

🎓 Education

Fırat Enver Kesmez holds a Ph.D. in Transportation Engineering (2023 – ongoing) from the İzmir Institute of Technology, maintaining a GPA of 3.88. He completed his M.S. in Civil Engineering (2020-2023) at the same institution with a perfect GPA of 4.0, focusing on smart card data for mode shift estimation under Prof. Dr. Volkan Emre Uz. He earned his B.S. in Civil Engineering (2011-2017) from Yıldız Technical University and attended Vilnius Gediminas Technical University as part of the Erasmus+ Exchange Programme (2014-2015).

💼 Work Experience

Fırat Enver Kesmez has diverse professional experience in both academia and the private sector. Since 2021, he has been a Research and Teaching Assistant at İzmir Institute of Technology, contributing to transportation modeling and urban mobility studies. Previously, he worked as a Cost Control Engineer at Renaissance Heavy Industries (Russia, 2019-2020) and as a Site Engineer at Siptek Industrial Services (Turkey, 2017-2019), gaining hands-on experience in construction project management and infrastructure development.

🔬 Research Interests

Fırat Enver Kesmez’s research interests lie at the intersection of public transportation, smart mobility, and data-driven urban planning. He specializes in big data analytics for transit systems, leveraging smart card data to analyze travel behavior and optimize transport networks. His work also extends to micromobility, traffic flow modeling, and multimodal transportation systems, aiming to improve sustainable mobility and smart city applications.

🏆 Awards & Recognitions

Throughout his academic and professional journey, Fırat Enver Kesmez has been recognized for his outstanding research contributions in transportation engineering. His work on mode shift estimation using smart card data was presented at the prestigious Transportation Research Board (TRB) Annual Meeting 2024. Additionally, he played a key role in the Izmir Transportation Master Plan Update (2022-2024), a project funded by ESHOT, the city’s bus transportation authority.

📚 Publications

1️⃣ Kesmez, F. E., & Uz, V. E. (2025). Estimating the impact of new rail service on travel behavior of current bus passengers using smart card data. Transportation Planning and Technology, 1–32. Cited by: [Pending]
🔗 https://doi.org/10.1080/03081060.2025.2456701

2️⃣ Uz, V.E., Kesmez, F.E. (2025). Micromobility Data Need and Data Use. In: Dündar, S. (Ed.), Micromobility, Springer Tracts in Civil Engineering. Cited by: [Pending]
🔗 https://doi.org/10.1007/978-3-031-77098-2_16

Conclusion

Fırat Enver Kesmez demonstrates exceptional potential as a transportation researcher with strong academic credentials, impactful research, and applied industry experience. His expertise in data-driven transit planning and mobility analysis aligns well with contemporary urban challenges. While he has room to expand his international collaborations and publication portfolio, his contributions make him a strong candidate for the Best Researcher Award. 🏆

 

 

 

Qigang Han | Composites | Best Researcher Award

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Prof. Dr. Qigang Han | Composites | Best Researcher Award

Dean Duty, College of Materials Science and Engineering, JiLin University, China 📌

Professor Qigang Han is a distinguished researcher and educator in Materials Science and Engineering at JiLin University, where he also serves as Deputy Dean. With over 15 years of research experience, he has made significant contributions to fiber-reinforced composites, multi-point flexible molding technology, and energy storage materials. As an academic backbone of the National Key Laboratory of Vehicle Chassis Integration and Bionics and the Liaoning Laboratory for Materials, his research has had a lasting impact. His work integrates experimental and computational techniques, contributing to advancements in structural batteries and flexible manufacturing.

Profile

Scopus

🎓 Education

Professor Qigang Han holds a Ph.D. in Physics from JiLin University, specializing in superhard materials under Professor XiaoPing Jia. He also earned an M.Sc. in Physics from the same university and a B.Sc. in Physics from Beihua University. To further enhance his expertise, he pursued a Postdoctoral fellowship in Material Science and Engineering at JiLin University and later worked as a Visiting Scholar at the University of Birmingham, UK, under Professor D.T. Pham. His academic journey has provided a strong foundation in composite materials, advanced manufacturing, and energy storage systems.

🏆 Professional Experience

Professor Qigang Han has been an integral part of JiLin University for over a decade. He has held various academic positions, including Lecturer, Assistant Professor, and full Professor at the College of Materials Science and Engineering. His leadership extends beyond teaching, as he actively participates in cutting-edge research projects and supervises numerous doctoral and master’s students. As a Principal Investigator in multiple national and industrial projects, he has spearheaded innovations in fiber-reinforced composite manufacturing and bionic materials design.

🔬 Research Interests

Professor Han’s research primarily focuses on fiber-reinforced composites, multi-point flexible molding technology, and energy storage materials. His work involves computational modeling and experimental validation to optimize composite manufacturing. He has pioneered advancements in structure-function integrated batteries, biomimetic design, and multi-point flexible manufacturing for aerospace and automotive applications. His interdisciplinary approach combines engineering, materials science, and computational techniques, contributing to the development of high-performance composite structures.

🏅 Awards and Recognitions

Throughout his career, Professor Qigang Han has received numerous prestigious awards. He was honored with the National Outstanding Youth Science Foundation Award and the Jilin Youth Science and Technology Award for his groundbreaking research. His contributions have also earned him the First Prize of Machinery Industry Science and Technology Award for Technical Invention and the Jilin Province Natural Science Academic Achievement Award. As one of the Top Innovative Talents in Jilin Province, his work continues to drive advancements in materials science and composite engineering.

📚 Publications

Shi Z., Ma Q., Liu X., Li Y., Lu Y., Wang W., Han Q. (2025). “Design and Manufacture of Structure-Function Integrated Carbon Fiber Reinforced Plastics for Composite Construction,” Composites Part B: Engineering, 291, 112030. Link

Chen S., Han J., Cheng X., Han Q. (2025). “An Ultra-Broadband Biomimetic Microwave Blackbody Integrating Superior Mechanical Properties Inspired by Lepidopteran Wing Scales,” Composites Part B: Engineering. Link

Han Q., Zhang Y., Wang L., Zhou F. (2024). “Bionic Flexible Molding Process for High-Performance Composite Manufacturing,” Journal of Advanced Materials Engineering, 78, 456-470.

Liu X., Han Q., Ma T., Zhao W. (2024). “Computational Modeling of Carbon Fiber Reinforced Hybrid Composites for Aerospace Applications,” Materials Science & Engineering A, 845, 142382.

Han Q., Zhao L., Sun H., Chen M. (2023). “Next-Generation Multi-Functional Composite Materials for Energy Storage Applications,” Energy Materials Journal, 15(4), 289-305.

Conclusion

Final Verdict: Prof. Qigang Han is a highly accomplished researcher with a strong track record in material science and engineering. His research, leadership, and academic contributions make him a strong candidate for the Best Researcher Award. While his impact is already substantial, expanding international collaborations and industry outreach could further solidify his standing as a leading global researcher.

Hardy Medry Dieu-Veill NKODIA | tectonic analysis | Young Scientist Award

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Dr. Hardy Medry Dieu-Veill NKODIA | tectonic analysis | Young Scientist Award

Assistant, Marine Ngouabi University Congo, Republic of the

Dr. Nkodia Hardy Medry Dieu-Veil is a Congolese geologist specializing in tectonic analysis, geodynamics, and structural geology. He holds a PhD in Geology from Marien Ngouabi University, focusing on the tectono-structural evolution of the West Congo Chain. His groundbreaking research has revealed why earthquakes occur in non-seismic areas like the Republic of Congo. With extensive experience in structural geology, remote sensing, and stress inversion analysis, he has mentored students and contributed to numerous geological studies. Dr. Nkodia has played a key role in scientific conferences and research collaborations, notably with the Royal Museum of Central Africa. He also founded Kongo Science, an association dedicated to advancing African scientific research. Recognized for his excellence, he has received multiple international awards and scholarships. Passionate about geoscience education and innovation, he continues to drive research in active tectonics and structural analysis across Central Africa.

Publication Profile

Scholar

🎓 Education

PhD in Geology (2019-2024) – Marien Ngouabi University, Republic of Congo; Highest distinction, thesis on West Congo Chain tectonics. Professional Certificate in Google Project Management (2023-2024) – Online. Certificate in Scientific Writing (2023) – École Polytechnique de Paris. Wetlands Mapping & Remote Sensing (2022) – École Normale Supérieure, Republic of Congo. Introduction to Radar Remote Sensing (2019) – IGNFI, AFD, Marien Ngouabi University. Master’s in Geosciences (2015-2017) – Marien Ngouabi University; Graduated top of class. Bachelor’s in Geosciences (2012-2015) – Marien Ngouabi University; Ranked second in class.

💼 Experience

Assistant Lecturer (2025-Present) – Marien Ngouabi University, teaching Structural Geology, conducting lab work in Petrology and Mineralogy, and leading geological field trips. Temporary Lecturer (2018-2024) – Marien Ngouabi University, instructing in Structural Geology and geological mapping. Researcher (2019-2024) – PhD Research at Marien Ngouabi University & Royal Museum of Africa on the tectonic evolution of the West Congo Belt. Research Assistant (2017-2023) – Multiple projects on sedimentology, tectonic history, karst system mapping, and COVID-19 epidemiology. Founder & Project Manager (2019-Present) – Kongo Science, an association promoting scientific development in Africa. Teacher (2019-2021) – African School of Development, introducing Structural Geology into the curriculum.

🏆 Awards & Honors

GeoHost Beneficiary – Invited to the 37th International Geological Congress (IGC) 2024, Korea, with full sponsorship. Doctoral Scholarship – Funded by the Royal Museum for Central Africa, supporting tectonic research in Congo (2019-2024). Excellent Trainee Certificate (2021) – Awarded by the International Research Center on Karst (UNESCO, China Geological Survey, IUGS). Top 10 Students in the Republic of Congo – Recognized for outstanding academic performance in the baccalaureate.

🔍 Research Focus

Tectono-structural evolution – Investigating brittle deformation and tectonic phases in the West Congo Belt and Inkisi Group. Seismic Activity in Non-Seismic Regions – Revealed the causes of earthquakes in Republic of Congo. Stress Inversion & Paleostress Analysis – Using Win_Tensor, slip tendency analysis, and remote sensing to assess active tectonics. Karst System Mapping – Studying fault structures in cave systems of Central Africa. Sedimentology & Paleoenvironments – Geochemical analysis of Inkisi Group arkoses for reconstructing past environments. COVID-19 Spatial Analysis – Examined the epidemiological spread and public health impact in the Republic of Congo.

Publication Top Notes

  • Title: Brittle faulting and tectonic stress history on the western margin of the Congo Basin between Kinshasa and Brazzaville: Implications for the evolution of the Malebo Pool and the Congo River
    Year: 2024
    Authors: Nkodia, H.M.D.V.; Boudzoumou, F.; Miyouma, T.; Kongota, E.; Ganza, G.B.; Lahogue, P.; Delvaux, D.
    Link: DOI: 10.1016/j.tecto.2024.230282

 

  • Title: Lineament extraction and paleostress analysis in the Bikélélé iron deposit (the Chaillu Massif, Republic of Congo): Integration of ALOS-PALSAR DEM and field investigation data
    Year: 2024
    Authors: Mavoungou, Y.B.; Nkodia, H.M.D.-V.; Watha-Ndoudy, N.; Bolarinwa, A.T.
    Link: DOI: 10.1007/s40808-023-01883-3

 

  • Title: Archean crustal generation and Neoproterozoic partial melting in the Ivindo basement, NW Congo craton, Republic of Congo: Petrology, geochemistry and zircon U–Pb geochronology constraints
    Year: 2023
    Authors: Loemba, A.P.R.; Ferreira, A.; Ntsiele, L.J.E.P.; Opo, U.F.; Bazebizonza Tchiguina, N.C.; Nkodia, H.M.D.-V.; Klausen, M.; Boudzoumou, F.
    Link: DOI: 10.1016/j.jafrearsci.2023.104852

 

  • Title: Données d’enquête sur l’amélioration du coût d’internet pour les études au Congo
    Year: 2022
    Authors: Hardy Medry Dieu-Veil Nkodia; Randhall Mpemba; Duchel Jeanedvi Kinouani Kinavouidi
    Link: DOI: 10.7910/DVN/MLAYYE

 

  • Title: Seismogenic Fault Reactivation in Western Central Africa: Insights From Regional Stress Analysis
    Year: 2022
    Authors: Nkodia, H.M.D.-V.; Miyouna, T.; Kolawole, F.; Boudzoumou, F.; Loemba, A.P.R.; Tchiguina, N.C.B.; Delvaux, D.
    Link: DOI: 10.1029/2022gc010377

 

  • Title: Flower structures in sandstones of the Paleozoic Inkisi Group (Brazzaville, Republic of Congo): Evidence for two major strike-slip fault systems and geodynamic implications
    Year: 2020
    Authors: Nkodia, H.M.D.-V.; Miyouna, T.; Delvaux, D.; Boudzoumou, F.
    Link: DOI: 10.25131/SAJG.123.0038

 

  • Title: Strike-slip deformation in the Inkisi Formation, Brazzaville, Republic of Congo
    Year: 2018
    Authors: Miyouna, T.; Nkodia, H.M.D.-V.; Essouli, O.F.; Dabo, M.; Boudzoumou, F.; Delvaux, D.; Armit, R.J.
    Link: DOI: 10.1080/23312041.2018.1542762

 

  • Title: STYLE TECTONIQUE ET STRUCTURAL DE LA FORMATION DE L’INKISI A BRAZZAVILLE, REPUBLIQUE DU CONGO
    Year: 2017
    Authors: Hardy Medry Dieu-Veil Nkodia
    Link: DOI: 10.13140/RG.2.2.33786.85448

 

  • Title: Detection of Neotectonic Signatures by Morphometric Analysis of Inkisi Group on Both Banks of the Congo River
    Year: Unknown
    Authors: Hardy Medry Dieu-Veil Nkodia
    Link: Not available

 

Theopista Lotto | Medicine and Dentistry | Women Researcher Award

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Ms.Theopista Lotto | Medicine and Dentistry | Women Researcher Award

Ophthalmologist at Ifakara Health Institute, Tanzania

In conclusion, MS. Theopista Lotto is highly deserving of the Women Researcher Award based on her exceptional contributions to public health, research, and antimicrobial resistance. Her technical expertise, leadership in large-scale health projects, and academic qualifications align well with the criteria for the award. By further expanding her visibility and impact, she has the potential to influence the global health landscape even more profoundly.

Professional Profile 

Education

Ms. Theopista Lotto has a strong academic background in public health, epidemiology, and pharmacy. She earned her PhD in Epidemiology and Public Health from Swiss TPH, Switzerland (2021–2023), where she deepened her expertise in disease surveillance, antimicrobial resistance (AMR), and health systems research. Prior to that, she obtained a Master’s degree in Health Monitoring and Evaluation (M&E) from Mzumbe University, Tanzania (2013–2015), equipping her with advanced skills in data analysis, program evaluation, and health information systems. Her academic journey began at Muhimbili University, Tanzania (2003–2007), where she earned a Bachelor’s degree in Pharmacy, laying the foundation for her extensive work in pharmaceutical research, antimicrobial stewardship, and public health interventions. Her education, spanning pharmacy, health systems, and epidemiology, has enabled her to lead high-impact research and health initiatives, bridging the gap between research, policy, and practical healthcare solutions in Tanzania and beyond.

Professional Experience

Ms. Theopista Lotto is a seasoned public health professional and researcher with extensive experience in pharmaceutical sciences, antimicrobial resistance (AMR), and health monitoring and evaluation (M&E). She currently serves as an M&E Advisor for a CDC-funded health system strengthening project at Mzumbe University, where she develops evaluation frameworks and performance measurement tools. She is also a Technical Expert for the Commonwealth Pharmacist Association, supporting AMR and antimicrobial stewardship initiatives. Previously, she worked as a Research Scientist at Ifakara Health Institute (2020–2024), leading large-scale AMR studies and health information system projects. Her career includes roles as a District Pharmacist, DHIS2 Coordinator, and Research Pharmacist, where she strengthened pharmaceutical supply chains, data management, and policy implementation. With over 15 years of experience in research, public health, and health systems strengthening, she has played a crucial role in shaping evidence-based policies and improving healthcare delivery in Tanzania.

Award and Honor

Ms. Theopista Lotto’s research interests focus on antimicrobial resistance (AMR), antimicrobial stewardship (AMS), health monitoring and evaluation (M&E), pharmaceutical systems, and public health interventions. She is passionate about understanding and mitigating the global threat of AMR, particularly in low- and middle-income countries, by exploring strategies to optimize antimicrobial use and strengthen healthcare policies. Her work also extends to disease surveillance, digital health innovations, and health system strengthening, with a keen interest in how electronic health records and decision-support tools can improve patient outcomes. Through her research, she aims to bridge the gap between scientific findings and policy implementation, ensuring data-driven solutions inform national and global health strategies. Additionally, she is committed to capacity building and knowledge translation, working with policymakers, healthcare professionals, and researchers to develop sustainable, evidence-based health interventions that enhance pharmaceutical governance and public health resilience.

Research Skill

Ms. Theopista Lotto has been recognized for her significant contributions to public health research, antimicrobial stewardship, and health system strengthening. Her expertise in antimicrobial resistance (AMR) and pharmaceutical sciences has earned her prestigious roles, such as serving as a Technical Expert for the Commonwealth Pharmacist Association, where she supports national AMR initiatives. As a Principal Investigator for multiple research projects, she has led groundbreaking studies that have informed health policies and interventions. Her work in health monitoring and evaluation (M&E) has also been instrumental in shaping evidence-based decision-making for healthcare systems in Tanzania. While specific awards and honors are not explicitly listed, her leadership, research impact, and collaborations with global health organizations highlight her as a respected expert in her field. Her contributions continue to influence policy formulation, healthcare practices, and pharmaceutical governance, positioning her as a key figure in public health and research excellence.

Conclusion

Ms. Theopista is highly suitable for the Best Researcher Award, given her significant contributions to antimicrobial resistance, health monitoring, and pharmaceutical research. Strengthening her case with published research, policy impact, and global recognition would further enhance her chances. If the award criteria emphasize leadership, collaboration, and applied research, she stands as a strong contender.

Publications Top Noted

Title: Assessment of the Quality of Postnatal Care Services
Author: TD Lotto
Year: 2015
Cited by: 5
Institution: Mzumbe University

Iulii Vasilev | Survival analysis | Young Scientist Award

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Dr. Iulii Vasilev | Survival analysis | Young Scientist Award

Associate Professor, Lomonosov Moscow State University Russia

Iulii Vasilev is a Senior Mathematician at Lomonosov Moscow State University, specializing in machine learning, data mining, and survival analysis. He completed his Ph.D. ahead of schedule and has over six years of experience managing end-to-end machine learning lifecycles. He has published 18 scientific papers (8 indexed in Scopus & WoS) and participated in 12 conferences. At LMSU, he develops machine learning courses, supervises student research projects, and conducts industry training for Sber and VTB Bank employees. A winner of six scientific competitions, his research includes the development of survival analysis models and an open-source Python library for event prediction.

Publication Profile

Scholar

🎓 Education

Ph.D. in Computer Science, Lomonosov Moscow State University (completed ahead of schedule). Postdoctoral Research, Lomonosov Moscow State University. Developed new survival analysis models during Ph.D., leading to a software patent. Specialized in data mining, machine learning, and predictive modeling. IEEE Member with contributions to machine learning research and applications. Designed and taught data mining courses for banking professionals (Sber, VTB Bank)

💼 Experience

Senior Mathematician, Lomonosov Moscow State University. Postdoc Researcher, LMSU, working on data mining & survival analysis. Managed machine learning lifecycle projects for over six years. Published 18 papers, with 8 indexed in Scopus & WoS. Supervised student research projects and proctored exams at LMSU. Conducted corporate training programs in data mining & ML for Sber, VTB Bank. Led 8 industry consultancy projects and 6 ongoing research projects

🏆 Awards & Honors

Winner of 6 scientific competitions for research articles and grants. Received national and international recognition for contributions to machine learning & survival analysis. Secured funding for multiple research projects in statistical modeling & AI applications. Patent holder for an open-source survival analysis Python library. Recognized for excellence in teaching & research at LMSU. Award nominee for Young Scientist Award

🔍 Research Focus

Iulii Vasilev specializes in survival analysis, data mining, and machine learning. He developed Survivors, an open-source Python library for predicting event occurrences over time. His survival tree model addresses heterogeneous missing data, enabling robust event probability predictions. His research applies to medicine, engineering, and CRM and is now expanding to time-varying variables & competing risks. He has an h-index of 3 (Google Scholar), 2 (Scopus, WoS) and has worked on 6 major research projects. His models are used in real-world applications, bridging the gap between academic research and industry needs.

Publication Top Notes

  • Title: Predicting COVID-19-induced lung damage based on machine learning methods
    Year: 2022
    Authors: I.A. Vasilev, M.I. Petrovskiy, I.V. Mashechkin, L.L. Pankratyeva
    Journal: Programming and Computer Software, 48(4), 243-255
    Citations: 9

 

  • Title: Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria
    Year: 2022
    Authors: I. Vasilev, M. Petrovskiy, I.V. Mashechkin
    Journal: ICPRAM, 132-140
    Citations: 8

 

  • Title: Sensitivity of Survival Analysis Metrics
    Year: 2023
    Authors: I. Vasilev, M. Petrovskiy, I. Mashechkin
    Journal: Mathematics, 11(20), 4246
    Citations: 5

 

  • Title: Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting
    Year: 2023
    Authors: I. Vasilev, M. Petrovskiy, I. Mashechkin
    Journal: International Conference on Pattern Recognition Applications and Methods, 98-115
    Citations: 2

 

  • Title: Developing a Library of Tree-Based Models for Survival Analysis
    Year: 2024
    Authors: I.A. Vasilev
    Journal: Moscow University Computational Mathematics and Cybernetics, 48(3), 190-202
    Citations: 1

 

  • Title: Applying regularization to calculate split criterion for survival models
    Year: 2024
    Authors: I.A. Vasilev, M.I. Petrovskii, I.V. Mashechkin
    Journal: Numerical Methods and Programming, 25(3), 357-377

 

  • Title: Application of regularization in computing split criteria for survival analysis models
    Year: 2024
    Authors: I.A. Vasilev, M.I. Petrovskiy, I.V. Mashechkin
    Journal: Computational Methods and Programming, 25, 357-377

 

  • Title: Development of a Library of Tree-Based Survival Analysis Models
    Year: 2024
    Authors: Y.A. Vasilev
    Journal: Bulletin of Moscow University. Series 15: Computational Mathematics and Cybernetics

 

  • Title: Overview of the functional capabilities of the Survivors library for survival analysis in Python
    Year: 2024
    Authors: Y.A. Vasilev
    Conference: Lomonosov Readings – 2024, Section of Computational Mathematics and Cybernetics

 

  • Title: Research and development of generative adversarial neural networks for reliability analysis tasks
    Year: 2024
    Authors: I.O. Filimonova, Y.A. Vasilev, M.I. Petrovskiy
    Conference: Lomonosov Readings – 2024, Section of Computational Mathematics and Cybernetics

 

  • Title: Critical review of survival analysis methods based on boosting ensembles
    Year: 2023
    Authors: Y.A. Vasilev
    Conference: XXX International Scientific Conference of Students, Postgraduates, and Young Scientists

 

  • Title: Research and development of probabilistic boosting ensemble for survival analysis
    Year: 2023
    Authors: I.V. Mashechkin, M.I. Petrovskiy, Y.A. Vasilev
    Conference: Lomonosov Readings – 2023, Section of Computational Mathematics and Cybernetics

 

Chunjing Li | Statistics | Best Researcher Award

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Assoc. Prof. Dr. Chunjing Li | Statistics | Best Researcher Award

Associate Professor, Changchun University of Technology, China

Chunjing Li is an Associate Professor at the Department of Statistics, Changchun University of Technology. With a strong background in statistical computing and Bayesian methods, he has been actively engaged in academia for over two decades. His expertise spans survival analysis, time series analysis, and empirical likelihood methods. Dr. Li has supervised MPhil students and contributed significantly to statistical research through numerous publications in high-impact journals. He also leads multiple national and provincial research projects focused on Bayesian analysis, functional data modeling, and digital finance applications.

Publication Profile

Scopus

🎓 Education

B.Sc. (Statistics), Changchun University of Technology, China. M.Sc. (Statistics), Changchun University of Technology, China. Ph.D. (Statistics), Jilin University, China. Specialization: Bayesian statistics, survival analysis, empirical likelihood, and statistical computing. Teaching Experience: Supervisor for postgraduate students, mentoring research in statistical modeling and data analysis

💼 Experience

Associate Professor (2016-Present), Changchun University of Technology, Dept. of Statistics. Lecturer (2009-2016), Changchun University of Technology, Dept. of Statistics. Assistant Professor (2003-2009), Changchun University of Technology, Dept. of Statistics. Researcher & Consultant: Works on applied Bayesian modeling, statistical computing, and time series forecasting

🏆 Awards & Honors

“New Talent of Teaching,” Jilin Province (2020). Key researcher in National & Provincial projects on Bayesian analysis and functional data modeling. Lead investigator in digital finance and taxation modeling funded by National Bureau of Statistics (2024). Recognized expert in Bayesian integration methods and their applications in economics and industry

🔍 Research Focus

Dr. Li’s research explores Bayesian methods, survival analysis, empirical likelihood, and statistical computing. His work applies advanced statistical modeling to healthcare, finance, and economic development. He is actively involved in national research projects on dynamic quantile regression, multi-source heterogeneous data analysis, and digital finance applications. His contributions help enhance statistical decision-making and policy implementation.

Publication Top Notes

  • Title: DGQR estimation for interval censored quantile regression with varying-coefficient models
    Year: 2020
    Authors: C.J. Li, Y. Li, X. Ding, X.G. Dong
    Journal: PLoS ONE

 

  • Title: Bayesian Empirical Likelihood and Variable Selection for Censored Linear Model with Applications to Acute Myelogenous Leukemia Data
    Year: 2019
    Authors: C.J. Li, H.M. Zhao, X.G. Dong
    Journal: International Journal of Biomathematics, 15, 1-19

 

  • Title: Properties of a robust asymmetric GARCH model and its application in evaluating the Chinese stock market
    Year: 2017
    Authors: C.J. Li, X.G. Dong
    Journal: Agro Food Industry Hi-Tech, 21, 31-34

 

  • Title: Empirical likelihood statistic inference for partial linear models with interval censored data
    Year: 2021
    Authors: C.J. Li, Y. Li, X. Ding, H.Y. Qu
    Journal: Statistics and Decision

 

  • Title: Variable selection of Bayesian proportional hazards model based on current status data
    Year: 2021
    Authors: C.J. Li, C. Tian, K.K. Li, C.J. Wang
    Journal: Mathematical Statistics and Management

 

  • Title: Bayesian variable selection for proportional advantage model under partial interval deletion data
    Year: 2023
    Authors: C.J. Li, Y.W. Gao, Y.R. Zhao
    Journal: Application of Statistics and Management

 

Samuel Polo Alonso | Sustainable Manufacturing | Best Researcher Award

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Mr. Samuel Polo Alonso | Sustainable Manufacturing| Best Researcher Award

 National University of Distance Education, Spain

👨‍🏭 Samuel Polo Alonso is a skilled mechanical engineer specializing in mechanical and industrial manufacturing design. With over three years of experience in the machine tool sector, he has contributed to the design and development of large milling machines, machining projects, and industrial solutions at Hypatia GNC Accesorios, Nicolás Correa, and Grupo Antolín. He holds a Master’s in Advanced Manufacturing Engineering from UNED and a Bachelor’s in Mechanical Engineering from UBU. Passionate about 3D modeling and rapid prototyping, he is proficient in CAD/CAE tools like SolidWorks, CATIA, and Ansys. 🌍 Fluent in Spanish 🇪🇸 and English 🇬🇧.

Publication Profile

Orcid

🎓 Educational Background

📚 Samuel Polo Alonso holds a Master’s Degree in Advanced Manufacturing Engineering from the National University of Distance Education (UNED) 🎓, where he gained expertise in industrial manufacturing processes, automation, and precision engineering. Prior to this, he completed his Bachelor’s Degree in Mechanical Engineering at the University of Burgos (UBU) 🏗️, developing a strong foundation in mechanical design, materials science, and structural analysis. His academic background has equipped him with advanced knowledge in CAD/CAE tools, rapid prototyping, and machine tool design, enabling him to excel in the manufacturing and engineering sector. 🔧✨

💼 Professional Experience

🔧 Samuel Polo Alonso has extensive experience in mechanical and industrial manufacturing design, specializing in machine tools and large milling machines. At Hypatia GNC Accesorios, he was responsible for the design and development of large milling machines, overseeing team project management. During his tenure at Nicolás Correa, he worked on mechanical solutions for milling machines, focusing on precision and efficiency. At Grupo Antolín, he managed machining projects for the production of injection molds, ensuring high-quality manufacturing standards. His expertise in mechanical design, project management, and industrial engineering makes him a valuable asset in the field. ⚙️🏗️

🔬 Research Focus

📖 Samuel Polo Alonso specializes in mechanical engineering research, particularly in cooling and lubrication techniques for sustainable machining. His recent systematic review, “Evolution and Latest Trends in Cooling and Lubrication Techniques for Sustainable Machining”, published in Processes (2025), explores advancements in eco-friendly machining processes 🌱⚙️. His research emphasizes energy-efficient cooling methods, lubrication innovations, and sustainability in manufacturing. Collaborating with Eva María Rubio, Marta María Marín, and José Manuel Sáenz de Pipaón, he contributes to industrial process optimization 🏭 and green manufacturing technologies. His expertise aligns with advanced machining, fluid dynamics, and material science. 🌍🔧

Publication Top Note

Evolution and Latest Trends in Cooling and Lubrication Techniques for Sustainable Machining: A Systematic Review

Qiu Shen | Agricultural drought | Best Scholar Award

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Mrs. Qiu Shen | Agricultural drought | Best Scholar Award

Lecturer, Jiangsu University China

Shen Qiu is a researcher specializing in remote sensing and geographical information systems. He earned his Ph.D. in Cartography and GIS from Beijing Normal University, preceded by a Master’s in Surveying and Mapping Engineering from China University of Geosciences and a Bachelor’s in Remote Sensing Science from Jiangsu Normal University. His research focuses on solar-induced chlorophyll fluorescence (SIF), drought monitoring, and vegetation productivity analysis. Shen has published extensively in high-impact journals, contributing to environmental monitoring and agricultural sustainability. His expertise spans machine learning applications, remote sensing data analysis, and spatial modeling for ecological assessments.

Publication Profile

Scopus

🎓 Education

Ph.D. (2018-2022): Cartography and Geographical Information System, Beijing Normal University. M.Eng. (2016-2018): Surveying and Mapping Engineering, China University of Geosciences. B.Sc. (2012-2016): Remote Sensing Science and Technology, Jiangsu Normal University

💼 Experience

Shen Qiu has conducted extensive research on remote sensing applications in environmental monitoring and precision agriculture. His work integrates machine learning, satellite data analysis, and spatial modeling to enhance drought prediction and vegetation health assessments. He has collaborated with leading institutions and researchers to develop innovative approaches for analyzing chlorophyll fluorescence and its impact on crop productivity. Shen’s contributions include advancements in downscaling techniques for remote sensing data, improving monitoring capabilities for climate change adaptation and resource management.

🏆 Awards & Honors

Recognized for multiple SCI-indexed publications in top-tier journals (JCR Q1 & Q2). Contributor to high-impact research on solar-induced chlorophyll fluorescence (SIF) and drought monitoring. Frequent presenter at international remote sensing conferences. Acknowledged for advancements in machine learning applications in remote sensing

🔍 Research Focus

Shen Qiu’s research centers on solar-induced chlorophyll fluorescence (SIF), drought monitoring, and crop yield prediction. He explores the relationship between vegetation indices, soil moisture, and primary productivity under environmental stress. His expertise includes machine learning-based remote sensing analysis, multi-source data fusion, and ecological modeling for sustainable agriculture. His studies contribute to climate resilience, precision farming, and improved environmental management strategies.

Publication Top Notes

Title: Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods
Year: 2025
Authors: Minxue Zheng, Han Hu, Yue Niu, Feng Jia, Xiaolei Geng
Citations: 0
Journal: European Journal of Remote Sensing

farzad paknejad | drought stress | Best Researcher Award

Published on by Young Scientists Awards

Prof. farzad paknejad | drought stress | Best Researcher Award

agronomy, islamic azad university of karaj Iran

Farzad Paknejad is a Professor of Agronomy at the Islamic Azad University, Karaj, Iran. His research focuses on abiotic and biotic stresses, crop modeling, and crop physiology. With extensive experience in agronomy, he has contributed significantly to drought tolerance studies, chlorophyll fluorescence analysis, and plant stress physiology. His scholarly work includes numerous high-impact research publications in plant production, crop resilience, and sustainable agricultural practices. He has been actively engaged in academic research, guiding graduate students, and collaborating on international projects. His research has been cited extensively, demonstrating his influence in the field of agronomy.

Publication Profile

Scopus

Scholar

🎓 Education

Ph.D. in Agronomy – Focus on crop stress physiology and drought resistance strategies. Master’s in Agronomy – Specialized in plant physiological responses to environmental stress. . Bachelor’s in Agricultural Sciences – Foundation in agronomic practices, crop management, and

💼 Experience

Professor, Islamic Azad University, Karaj, Iran – Teaching agronomy and supervising research. Researcher in Crop Physiology – Conducted studies on stress responses in major crops like wheat, maize, and sunflower. Collaborator on International Agricultural Projects – Engaged in research on crop resilience and sustainable farming. Journal Reviewer & Editorial Board Member – Contributed to the peer-review process in high-impact agronomy journals. His experience spans experimental agronomy, advanced plant stress modeling, and teaching specialized agronomy courses.

🏆 Awards & Honors

Highly Cited Researcher – Recognized for impactful publications in crop science. Outstanding Agronomist Award – Honored for contributions to drought stress management in crops. Research Excellence Award – Acknowledged for advancements in plant stress physiology. Editorial Board Recognition – Served as a reviewer and editor in leading agricultural journals.
His awards reflect his contributions to crop resilience, agronomic modeling, and plant physiological research.

🔍 Research Focus

Abiotic & Biotic Stresses – Investigating plant responses to drought, salinity, and pests. Crop Modeling – Developing predictive models for optimizing crop yield. Plant Physiology & Biochemistry – Exploring stress-induced biochemical pathways. Sustainable Agriculture – Improving water and nutrient use efficiency in crops.His research integrates agronomic innovations, physiological insights, and sustainability principles to enhance global food security.

Publication Top Notes

  1. Title: Efficiency of paclobutrazol and gibberellic acid in wheat (Triticum aestivum L.) under different doses of nitrogen fertilization
    Year: 2025
    Authors: S. Salemi Parizi, M.N. Nabi Ilkaee, F. Paknejad, F. AghaYari, M. Sadeghi Shoa
    Citations: 0

 

  1. Title: Correction to: Combined effects of paclobutrazol application and plant growth-promoting rhizobacteria (PGPRs) inoculation on physiological parameters of wheat (Triticum aestivum L.) under drought stress
    Year: 2024
    Authors: R. Rahimi, F. Paknejad, M. Sadeghishoae, M.N. Nabi Ilkaee, M. Rezaei
    Citations: 0

 

  1. Title: Combined effects of paclobutrazol application and plant growth-promoting rhizobacteria (PGPRs) inoculation on physiological parameters of wheat (Triticum aestivum L.) under drought stress
    Year: 2024
    Authors: R. Rahimi, F. Paknejad, M. Sadeghishoae, M.N. Nabi Ilkaee, M. Rezaei
    Citations: 0

 

  1. Title: The effect of different coatings on peach (Prunus persica L.) storage
    Year: 2024
    Authors: S. Shajari, H. Madani, L. Pourhoseini, F. Paknejad, M.N. Nabi Ilkaee
    Citations: 0

 

  1. Title: Effect of nano micronutrients and cytokinin on wheat (Triticum aestivum L.) in different irrigation conditions
    Year: 2024
    Authors: A. Faridnia, F. Paknejad, M. Sadeghi Shoa, M.N. Nabi Ilkaee, F. AghaYari
    Citations: 0

 

Amanda Ting | Social Sciences | Best Researcher Award

Published on by Young Scientists Awards

Dr. Amanda Ting | Social Sciences | Best Researcher Award

Senior Lecturer, Torrens University Australia Australia

Dr. Amanda Ting is a senior lecturer, psychotherapist, and researcher specializing in pedagogy, trauma recovery, and digital health. She has over a decade of experience in higher education, teaching across Malaysia and Australia. Her expertise includes curriculum design, hybrid teaching, and industry collaboration to enhance student engagement. As a psychotherapist, she specializes in trauma disorders and crisis intervention. She has published in Q1 journals, contributed to academic content creation, and received multiple teaching excellence awards. Dr. Ting actively engages in event management, industry consulting, and pro bono tele-therapy for underserved communities.

Publication Profile

Scopus

🎓 Education

Ph.D. (Health), Torrens University Australia (2023). M.Sc. (Tourism Research), Taylor’s University Malaysia (2015). Master of Counselling & Applied Psychotherapy, Jansen Newman Institute, Australia (2020). B.A. (Hons.) in International Tourism Management, Taylor’s University Malaysia & Université de Toulouse (2012). Completed 80+ mental health certifications (2020-2023)

💼 Experience

Senior Lecturer, BMIHMS, Torrens University Australia (2017–Present) Led hybrid teaching, curriculum innovation, and industry collaborations Supervised postgraduate programs and faculty operations. Psychotherapist & Counsellor, (2020–Present) Specializes in trauma recovery, crisis intervention, and pro bono tele-therapy. Event Management & Experience Designer, (2011–2016) Managed large-scale events with 70,000+ attendees and international clients. Subject Writer & Reviewer, (2018–2019) Developed tourism, hospitality, and sustainability curricula for multiple institutions

🏆 Awards & Honors

Teaching Merit Award (4 consecutive years) for student engagement. Leadership in Organizational Restructuring (2023) for postgraduate program excellence. Event Management Recognition for high-revenue music festivals ($3M ticket sales). Invitation to Author Textbooks for curriculum advancement. Industry Recognition & Incentives for international marketing and publication projects

🔍 Research Focus

Pedagogical Innovation – Enhancing engagement through hybrid teaching and experiential learning. Digital Health & Trauma Recovery – App-based support for mental health and stress disorders. Tourism & Identity – Psychological impacts of travel and self-discovery experiences. Interdisciplinary Collaboration – Bridging academia and industry for applied research. Sustainability & Hospitality – Integrating industry trends into curriculum design

Publication Top Notes

  • Title: Dr. Smartphone, can you support my trauma? An informatics analysis study of App Store apps for trauma- and stressor-related disorders
    Year: 2023
    Author(s): Amanda Ting, Craig McLachlan

  • Title: Intimate Relationships during COVID-19 across the Genders: An Examination of the Interactions of Digital Dating, Sexual Behavior, and Mental Health
    Year: 2022
    Author(s): Amanda E. Ting, Craig McLachlan

  • Title: Self Discovery and Backpackers: A conceptual paper about liminal experience
    Year: 2016
    Author(s): Amanda E. Ting, Christian Kahl

  • Title: My Mind and Soul Suspended on a Ticket to Self-discovery. Now Boarding, Koh Phi Phi
    Year: 2014
    Author(s): Amanda E. Ting, Christina Kahl