Sina Rezaei | Data Analysis | Best Researcher Award

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Mr. Sina Rezaei | Data Analysis | Best Researcher Award

University of Tehran | Iran

Publication Profile

Orcid

Biography of Mr. Sina Rezaei 📚

📚 Passionate Photogrammetry & 3D Reconstruction Specialist

Sina Rezaei is an innovative researcher currently pursuing his M.Sc. in Photogrammetry at the University of Tehran. With a strong foundation in Surveying Engineering, Sina’s academic journey focuses on the application of photogrammetry, 3D modeling, and remote sensing in the preservation of cultural heritage and geospatial analysis. His work is aimed at enhancing 3D reconstruction using spherical cameras and photogrammetry techniques, combining both scientific research and technology.

🎓 Education

Sina holds a B.Sc. in Surveying Engineering from the University of Tehran, where he achieved an impressive GPA of 3.72/4. He ranked among the top students in his class, showcasing his academic excellence. He is currently pursuing an M.Sc. in Photogrammetry at the same institution, with a focus on 3D Reconstruction of cultural heritage structures. His thesis examines the use of spherical cameras and photogrammetry techniques to improve accuracy in cultural preservation.

🔬 Research Interests

Sina’s research interests lie at the intersection of photogrammetry, computer vision, and 3D modeling. He is particularly interested in remote sensing, machine learning, and data analysis. His goal is to push the boundaries of image processing and optimization techniques to improve the accuracy and efficiency of 3D reconstruction methods, especially in the context of cultural heritage conservation and geospatial engineering.

🔧 Research & Work Experience

Sina has worked extensively in the field of photogrammetry and remote sensing. He is currently augmenting GNSS devices with visual positioning systems using photogrammetry solutions and implementing Structure from Motion (SFM) and Bundle Adjustment (BA) algorithms. In his Research Intern role at i3mainz, he focused on 3D reconstruction using spherical cameras, DSLR cameras, and laser scanners. Additionally, he contributed to the super-resolution of Sentinel-2 satellite data for urban sprawl analysis.

👨‍🏫 Teaching Experience

Sina has also gained valuable teaching experience as a Teaching Assistant for several courses at the University of Tehran, including Photogrammetric Data Acquisition, Data Collection from Images, and Technical English. His teaching role reflects his dedication to sharing his knowledge and passion for photogrammetry with the next generation of students.

🖥️ Selected Course Projects

During his academic career, Sina has worked on a variety of technical projects, including Photogrammetry Calculations, where he optimized stereo and aerial images using Python. He has also implemented optimization algorithms and image matching techniques using fuzzy logic in Soft Computing and worked on satellite image processing and radiometric corrections in his Remote Sensing Laboratory.

🏅 Honors & Awards

Sina has earned multiple honors during his academic journey, including being ranked 5th among 40 students in the College of Surveying and Geospatial Engineering at the University of Tehran. He is a proud member of the Iran’s National Elites Foundation, which granted him direct admission into the M.S. degree program. He has also earned certificates from Stanford University and DeepLearning.AI for completing courses in Supervised Machine Learning and Advanced Learning Algorithms.

📚 Top Notes Publications

Evaluation of Network Design and Solutions of Fisheye Camera Calibration for 3D Reconstruction

    • Authors: Sina Rezaei, Hossein Arefi

    • Journal: Sensors

    • Year: 2025

Quality Analysis of 3D Point Cloud Using Low-Cost Spherical Camera for Underpass Mapping

    • Authors: Sina Rezaei, Angelina Maier, Hossein Arefi

    • Journal: Sensors

    • Year: 2024

Feng Tian | Big Data Analytics | Best Researcher Award

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Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS 💼

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE ✨

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024

 PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024

 Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Yuhuan Fei | Object Detection | Best Researcher Award

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Assist Prof Dr. Yuhuan Fei | Object Detection | Best Researcher Award

Qufu Normal University | China

PUBLICATION PROFILE

Scopus

👤 Summary

Dr. Yuhuan Fei is an Associate Professor at Qufu Normal University, China, with a strong background in Machine Learning, Intelligent Manufacturing, and Ceramic Cutting Tools. He holds a Ph.D. in Mechanical Manufacturing and Automation and focuses on the development and performance of advanced ceramic cutting tools, material microstructure, and mechanical properties. Dr. Fei has made substantial contributions to scientific research, including numerous journal publications, patents, and participation in national research projects.

🎓 Education

Dr. Fei completed his Ph.D. in Mechanical Manufacturing and Automation at Shandong University in 2012, with a thesis on fabrication and cutting performance of Al2O3-TiC-TiN ceramic cutting tools. Prior to that, he earned a Master’s degree in Materials Processing Engineering from Northeastern University in 2007, focusing on the phase analysis of Ti-700 alloy. He also holds a Bachelor’s degree in Material Forming and Controlling Engineering, completed in 2004 at Northeastern University.

🧑‍🏫 Professional Experience

Dr. Fei has held various academic and professional positions. He served as a Visiting Scholar at McGill University from 2017 to 2018. Since 2013, he has been an Associate Professor at Qufu Normal University in Shandong Province. Before that, he worked as a Patent Examiner at the Patent Examination Cooperation Center (SIPO) in Jiangsu Province, focusing on intellectual property evaluations related to material sciences.

📚 Academic Citations

Dr. Fei has authored numerous papers in high-impact journals. Some of his most cited works include those published in the Journal of Real-Time Image Processing (2025), Journal of Ceramic Science and Technology (2021, 2019), and Ceramics International (2014). His research also appears in Materials Science and Engineering A, Rare Metal Materials and Engineering, and several other prestigious journals, significantly contributing to the fields of material science and engineering.

🛠️ Technical Skills

Dr. Fei’s technical expertise includes:

  • Advanced ceramic material development and cutting tool fabrication

  • Phase composition analysis and microstructure characterization of materials

  • Machine learning applications in intelligent manufacturing systems

  • Patent analysis and intellectual property research

👨‍🏫 Teaching Experience

Dr. Fei has an active teaching role at Qufu Normal University, where he imparts knowledge on material science and engineering, particularly focusing on ceramic cutting tools and intelligent manufacturing. He supervises graduate students, guiding them through research projects and theses, while also leading research seminars and educational workshops.

🔬 Research Interests

Dr. Fei’s primary research interests include:

  • Development of ceramic cutting tools for advanced manufacturing

  • Study of material processing techniques and phase transitions in cutting materials

  • Application of machine learning to optimize manufacturing processes

  • Investigation of mechanical properties and microstructural characteristics of ceramics

📚 Top Notes Publications 

The Influence of Ni Addition on the Microstructures and Mechanical Properties of Al2O3–TiN–TiC Ceramic Materials

    • Authors: Yuhuan Fei, Chuanzhen Huang, Hanlian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2018

Study on the Cutting Performance of Al2O3-TiC-TiN Ceramic Tool Materials

    • Authors: Yuhuan Fei, Chuan Zhen Huang, Han Lian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2016

On the Formation Mechanisms of Fine Granular Area (FGA) on the Fracture Surface for High Strength Steels in the VHCF Regime

    • Authors: Yong-De Li, Limin Zhang, Yuhuan Fei, Mei-Xia Li

    • Journal: Not mentioned in the provided text

    • Year: 2015

Mechanical Properties of Al2O3–TiC–TiN Ceramic Tool Materials

    • Authors: Yuhuan Fei, C.Z. Huang, H.L. Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2014

Establishment of the Low Defect Ceramic Cutting Tool Database

    • Authors: Chang Bin Zou, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2013

The Effects of Sintering Process on Microstructure and Mechanical Properties of TiB2-Ti(C0.5N0.5)-WC Composite Tool Materials

    • Authors: Yan Zhao, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2012

 

Yue Xin | inventory management | Women Researcher Award

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Dr. Yue Xin | inventory management | Women Researcher Award

Ocean university of chain | China

PUBLICATION PROFILE

Google Scholar

📝 Summary

Dr. Yue Xin is a dedicated researcher currently pursuing a Ph.D. in Probability Theory and Mathematical Statistics at China People’s University. His academic work focuses on time series analysis, data-driven decision-making, and inventory management strategies. With numerous published papers in top-tier SCI-indexed journals, he has gained recognition for his innovative contributions to mathematical modeling, particularly in financial markets and environmental science.

🎓 Education

Dr. Yue completed his Bachelor’s in Information and Computational Science from Shandong University, earning a GPA of 87.9/100. He is currently pursuing his Ph.D. at China People’s University with an impressive GPA of 3.84/4, specializing in Probability Theory and Mathematical Statistics. Additionally, he spent a year as a joint Ph.D. student at Nanyang Technological University in Singapore, enhancing his global academic exposure.

💼 Professional Experience

Dr. Yue has participated in several high-profile research projects, contributing to areas such as missile defense strategies, game theory, and underwater confrontation analysis. He played a key role in modeling and solving critical problems using differential game theory. His collaboration with top researchers and institutions has honed his expertise in both theoretical and applied mathematics.

📚 Academic Citations & Publications

Dr. Yue has published several influential papers in prominent journals like the Journal of Computational and Applied Mathematics and Applied Mathematics and Computation. His work includes advanced topics like maximum likelihood estimation, uncertain autoregressive models, and the valuation of options in uncertain fractional-order environments. His papers are highly cited in the academic community, reflecting the impact of his research.

🔧 Technical Skills

Dr. Yue is proficient in multiple programming languages and software tools, including Python, Matlab, R, and C++. He is skilled in using LaTeX for scientific writing and is also well-versed in Microsoft Office. His expertise extends to statistical analysis, machine learning, and developing data-driven models for complex decision-making in finance and risk management.

👨‍🏫 Teaching Experience

With a passion for teaching, Dr. Yue has served as a teaching assistant for various courses, such as Mathematical Modeling, Game Theory, Probability Theory, and Higher Algebra. He has also assisted in courses on Big Data Analysis and Supply Chain Management, where he shares his extensive knowledge and fosters a dynamic learning environment.

🔬 Research Interests

Dr. Yue’s research interests lie in the fields of time series analysis, differential equations, and data-driven decision-making. He focuses on the development of innovative models for inventory management and risk assessment, and his work is particularly relevant to financial market analysis and environmental forecasting. He is dedicated to applying mathematical techniques to real-world problems.

📚 Top Notes Publications 

Maximum likelihood estimation for uncertain autoregressive moving average model with application in financial market

    • Authors: Y Xin, J Gao, X Yang, J Yang

    • Journal: Journal of Computational and Applied Mathematics

    • Year: 2023

Orthogonal series method for uncertain nonparametric regression with application to carbon dioxide emissions

    • Authors: Y Xin, J Gao

    • Journal: Communications in Statistics-Simulation and Computation

    • Year: 2024

Power-barrier option pricing formulas in uncertain financial market with floating interest rate

    • Authors: H Zhao, Y Xin, J Gao, Y Gao

    • Journal: AIMS Math

    • Year: 2023

Time series prediction method for multi-source observation data

    • Authors: X Gao, Y Xin, J Yang

    • Journal: International Journal of General Systems

    • Year: 2024

Regional express delivery network planning: A location-routing model and two-tier adaptive GA

    • Authors: W Li, Y Xin, G Yang

    • Journal: Information Sciences

    • Year: 2025

Estimation of parameters and valuation of options written on multiple assets described by uncertain fractional differential equations

    • Authors: Y Xin, Y Zhang, I Noorani, F Mehrdoust, J Gao

    • Journal: Applied Mathematics and Computation

    • Year: 2025

Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

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Dr. Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

Universidad Autónoma de Madrid | Spain

PUBLICATION PROFILE

Scopus

Orcid

INTRODUCTION 👩‍🔬

Dr. Isabel Lastres-Becker is an Associate Professor at the Universidad Autónoma de Madrid, specializing in biochemistry and neurodegenerative diseases. With over 20 years of research experience, her scientific work primarily focuses on the molecular mechanisms of neurodegeneration, including oxidative stress, neuroinflammation, and proteinopathies. Her contributions span several neurodegenerative disorders, including Parkinson’s disease, Alzheimer’s, ALS, and Huntington’s disease.

EARLY ACADEMIC PURSUITS 🎓

Dr. Lastres-Becker completed her Licenciatura en Ciencias Químicas (Bachelor’s degree in Chemistry) with a specialization in Biochemistry from Universidad Complutense de Madrid in 1997. She later earned her PhD in Biochemistry in 2003 from the same institution, with a focus on neurodegenerative diseases. Her doctoral research was awarded the prestigious European mention.

PROFESSIONAL ENDEAVORS 👩‍🏫

Throughout her career, Dr. Lastres-Becker has held various academic and research positions. She is currently an Associate Professor at the Universidad Autónoma de Madrid since October 2021, after having previously served as a Ramón y Cajal researcher and Postdoctoral Researcher in Spain and Germany. Her experience in both the academic and research environments has greatly contributed to her expertise in neurodegenerative diseases.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lastres-Becker’s research contributions have had a significant impact on the understanding of neurodegenerative diseases. Her work has focused on various aspects:

  • Cannabinoid System in Huntington’s Disease: Dr. Lastres-Becker explored how the dysregulation of the endogenous cannabinoid system affects Huntington’s disease. Her work laid the groundwork for clinical trials examining the neuroprotective effects of cannabinoids.
  • Parkinson’s Disease: She demonstrated how cannabinoid receptors, particularly CB1, are involved in neuroinflammation in Parkinson’s disease, and her research suggested potential therapeutic targets for modulating microglial activity.
  • Ataxin-2 in Spinocerebellar Ataxia: She was the first to identify the role of ataxin-2 in metabolism and protein synthesis, as well as its involvement in SCA2 neurodegeneration.
  • NRF2 Transcription Factor: Dr. Lastres-Becker’s research on NRF2 has revealed its central role in neurodegenerative diseases. She showed how NRF2’s involvement in inflammatory processes could be a therapeutic target, particularly in the context of Parkinson’s disease and tauopathies.
  • Neuron-Glia Communication: In Alzheimer’s disease, Dr. Lastres-Becker identified how neurons with overexpressed TAU protein release fractalkine (CX3CL1), triggering neuroinflammation and tau-related neurodegeneration.

IMPACT AND INFLUENCE 🌍

Dr. Lastres-Becker’s research is not only impactful within the academic sphere but also in the broader scientific and clinical communities. She serves as an external collaborator with several research groups and is a reviewer for high-impact scientific journals. Additionally, her collaborations with international research agencies and companies have advanced the therapeutic exploration of neurodegenerative diseases.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Lastres-Becker has authored more than 65 publications, contributing significantly to neurodegenerative disease research. Some of her high-impact publications include studies on the cannabinoid system, NRF2 modulation, and tauopathies, with her work frequently cited in the fields of neurobiology and pharmacology. These studies have not only contributed to scientific knowledge but have also provided the foundation for potential clinical therapies.

HONORS & AWARDS 🏆

Throughout her career, Dr. Lastres-Becker has received numerous awards and grants, including funding from the Spanish Ministry of Science and Innovation. Her work has been recognized through various prestigious research projects aimed at studying and developing therapeutics for Parkinson’s disease, ALS, and Alzheimer’s disease.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking ahead, Dr. Lastres-Becker continues to contribute to the advancement of therapeutic strategies for neurodegenerative diseases. She is currently involved in various cutting-edge research projects focused on the roles of NRF2, cannabinoids, and proteostasis. Her future work aims to bridge the gap between preclinical discoveries and clinical applications, ultimately improving treatment outcomes for patients with these devastating conditions.

TOP NOTES PUBLICATIONS 📚

Model organisms for investigating the functional involvement of NRF2 in non-communicable diseases
    • Authors: A.I. Rojo, B. Buttari, S. Cadenas, I.P. Trougakos, A.T. Dinkova-Kostova
    • Journal: Redox Biology
    • Year: 2025
Investigation in the cannabigerol derivative VCE-003.2 as a disease-modifying agent in a mouse model of experimental synucleinopathy
    • Authors: S. Burgaz, E. Navarro, S. Rodríguez-Carreiro, E.E. Muñóz, J.J. Fernández-Ruiz
    • Journal: Behavioral and Brain Functions
    • Year: 2024
Beneficial Effect of Dimethyl Fumarate Drug Repositioning in a Mouse Model of TDP-43-Dependent Frontotemporal Dementia
    • Authors: I. Silva-Llanes, R. Martín-Baquero, A. Berrojo-Armisen, E. De Lago, I. Lastres-Becker
    • Journal: Antioxidants
    • Year: 2024
Biomarkers of NRF2 signalling: Current status and future challenges
    • Authors: C. Morgenstern, I. Lastres-Becker, B.C. Demirdogen, A. Cuadrado, I.M. Copple
    • Journal: Redox Biology
    • Year: 2024
RIPK1 expression and inhibition in tauopathies: implications for neuroinflammation and neuroprotection
    • Authors: I. Silva-Llanes, E. Madruga, A.R. Martínez, I. Lastres-Becker
    • Journal: Frontiers in Neuroscience
    • Year: 2024

Fateme Dehghani-Arani | Optimization Techniques | Best Researcher Award

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Assist Prof Dr. Fateme Dehghani-Arani | Optimization Techniques | Best Researcher Award

Assist Prof Dr. Fateme Dehghani-Arani at University of Tehran, Iran

👨‍🎓 Professional Profile

🎓 Early Academic Pursuits

Dr. Fateme Dehghani-Arani completed her Ph.D. in Health Psychology at the University of Tehran (2013), focusing her thesis on developing an attachment-based intervention model for inpatient children and their mothers, achieving an impressive GPA of 19.84 out of 20. Her earlier academic achievements include a MSc. in Psychology (2008) with a thesis on the effectiveness of neurofeedback therapy for opiate-dependent patients (GPA: 19.60) and a B.A. in Clinical Psychology (2005).

🧑‍🏫 Professional Endeavors

Since 2016, Dr. Dehghani-Arani has served as an Assistant Professor in the Department of Psychology at the University of Tehran. Her teaching roles have extended to the Department of Radiotherapy and the University of Kashan. She has also been a researcher in the neuropsychological science laboratory at the International Center of Addiction Studies.

🌟 Contributions and Research Focus

Dr. Dehghani-Arani has held significant administrative roles, including the Head of the Counseling and Mental Health Center at her faculty and the Vice President for Student Services & Culture. Her research interests lie primarily in psychotherapy, particularly psychoanalytic and attachment-based approaches, and explore the interplay between personality, emotion, trauma, and health.

📊 Impact and Influence

Her research has contributed to understanding the psychological treatment of various conditions and has been recognized in national academic circles. She received a second-degree award for her M.A. thesis at the presidential drug control headquarters, highlighting her impactful work in the field.

📝 Academic Cites

Dr. Dehghani-Arani is an active member of the Psychology and Counseling Organization of Iran and the American Psychological Association (APA). She continues to engage with the academic community through workshops and training programs.

🔧 Technical Skills

Her training encompasses various methodologies, including psychophysics, statistical analysis using STATA, and comprehensive clinical trial design. She has experience with MATLAB software, enhancing her research capabilities.

👩‍🏫 Teaching Experience

Dr. Dehghani-Arani teaches a variety of courses, including:

  • Grief and Palliative Treatment in Health Psychology
  • Internship in Psychotherapy (Supervisor)
  • Abnormal Psychology
  • Theories in Personality
  • Mental Health
  • Fundamental Subjects in Psychology

🌈 Legacy and Future Contributions

As a prominent figure in the field of health psychology, Dr. Dehghani-Arani aims to further develop innovative therapeutic models and contribute to the understanding of psychological health in children and families. Her commitment to research and education positions her as a key player in advancing mental health practices in Iran and beyond.

 

📖 Top Noted Publications

Metaanalysis of Repetitive Transcranial Magnetic Stimulation (rTMS) Efficacy for OCD Treatment: The Impact of Stimulation Parameters, Symptom Subtype and rTMS-Induced …

Authors: F Dehghani-Arani, R Kazemi, AH Hallajian, S Sima, S Boutimaz, …
Journal: Journal of Clinical Medicine
Citation: 13 (18), 5358
Year: 2024

 The Relationship between Willingness to Help Others and Resilience with Post-Traumatic Growth in People with A History of Severe Covid-19 in Close Relatives: The Moderating …

Authors: F Dehghani-Arani, Z Asadi, H Farahani
Journal: Journal of Research in Psychological Health
Citation: 22 (4), 1-19
Year: 2024

The Mediating Role of Executive Functions in the Relationship Between E-Learning Readiness and Academic Performance During the COVID-19 Pandemic

Authors: SS Mirhosseini, F Dehghani-Arani, R Safarifard
Journal: Journal of Applied Psychological Research
Citation: 14 (3), 105-119
Year: 2023

 Systematic Review and Meta-analysis of Functional and Structural Neural Pathways in Attachment

Authors: Hasanzade Maharlouee F, Dehghani-Arani F, Vahhabi A, Sima S
Journal: Journal of Cognitive Psychology
Citation: 11 (2)
Year: 2023

The relationship between executive functions and academic achievement in high-school students during the coronavirus pandemic

Authors: SS Mirhosseini, F Dehghani-Arani, R Safarifard
Journal: Journal of Applied Psychological Research
Year: 2023

Milla Vehviläinen | Data collection | Best Researcher Award

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Ms. Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen at VTT Technical Research Centre of Finland, Finland

👨‍🎓 Profile

📜 Summary

Milla Vehviläinen is a dedicated research scientist specializing in electromobility. She has extensive experience in computational modeling and simulation of electromechanical powertrains, contributing to both academic research and practical applications in electrical engineering.

🎓 Education

Milla is pursuing a D.Sc. (Tech) at Aalto University in Espoo, Finland, expected to complete in Q4/2025, focusing on computational modeling with a GPA of 4.6/5.0. She earned her M.Sc. (Tech) in Mechatronic System Design from LUT University, Lappeenranta, in 2020, with a GPA of 4.2/5.0. Her academic journey began with a B.Sc. (Tech) in Mechanical Engineering from LUT University, where she graduated in 2018 with a GPA of 3.1/5.0.

💼 Professional Experience

Currently, Milla works as a Research Scientist at VTT in Espoo (since 09/2020), focusing on computational modeling and simulation of electromechanical systems. Previously, she was a Research Trainee at VTT (07/2020 – 09/2020), where she developed a simulation toolbox for smart electric vehicle systems. Milla also has experience as an R&D Engineer Trainee at ABB Oy in Helsinki, working on product development for wind generators (05/2018 – 04/2020), and as a Sales Engineer Trainee in spare parts sales (05/2017 – 04/2018). She started her career as a trainee at Way Structural Technology Oy, contributing to 3D design projects for power plants (05/2016 – 06/2016).

📚 Academic Citations

Milla has authored several peer-reviewed publications, including: “Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics” in Mechanism and Machines Theory (2024) and “Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck” in Energies (2022).

⚙️ Technical Skills

Milla is skilled in MBS dynamics, 3D CAD, and condition monitoring. She is proficient in programming languages such as Python and VBA, and she has experience with software tools like Siemens NX, Teamcenter, SAP, and Tekla.

🔬 Research Interests

Milla’s research interests include electromechanical systems, electromobility, and fault detection and monitoring in electrical systems.

📖 Top Noted Publications 

Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jari Halme, Jussi Sopanen, Olli Liukkonen, Antti Holopainen, Kari Tammi, Anouar Belahcen
  • Journal: Mechanism and Machine Theory
  • Year: 2024
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jenni Pippuri-Mäkeläinen, Marko Paakkinen, Jukka Pellinen, Kari Tammi, Anouar Belahcen
  • Journal: Energies
  • Year: 2022

Ouya Fang | Ecological risk| Best Researcher Award

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Dr. Ouya Fang | Ecological risk | Best Researcher Award

Dr. Ouya Fang at Institute of Botany, Chinese Academy of Sciences, China

  Profiles👨‍🎓

Early Academic Pursuits 🎓

Dr. Ouya Fang completed her Ph.D. in Physical Geography at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, in 2016. Her academic journey continued with postdoctoral research in Ecology at the same institute from 2016 to 2018, laying a strong foundation in environmental sciences.

Professional Endeavors 💼

Since 2023, Dr. Fang has served as an Associate Professor at the Institute of Botany, Chinese Academy of Sciences, after holding the position of Assistant Researcher from 2018 to 2023. She has also gained international experience as a Visiting Scholar at the Swiss Federal Institute for Forest, Snow, and Landscape Research (2019-2020) and contributes to the scientific community as an Associate Editor for Dendrochronologia and board member for several ecological journals.

Contributions and Research Focus 🔍

Dr. Fang has led significant research projects, including studies on tree ecological resilience and the Tamarix arbor phenomenon in Qinghai. Her work emphasizes forest ecology, dendrochronology, and climate change, advancing knowledge on tree resilience and ecological memory, particularly under climate stress.

Impact and Influence 🌍

With an H-index of 10 and 24 published research papers—19 as first or corresponding author—Dr. Fang’s work has influenced forest resilience assessments and the understanding of historical forest decline due to climate change. Her research findings are recognized for enhancing resilience indicators and developing strategies for tree survival in extreme conditions.

Academic Cites 📚

Dr. Fang’s research has appeared in prestigious journals, including Science, Nature Geoscience, and Global Change Biology, showcasing her impactful contributions to the field. Her editorial roles in notable journals reflect her standing in the academic community.

Technical Skills 🛠️

Dr. Fang possesses advanced technical skills in forest ecology research, dendrochronology, and climate change analysis. Her expertise enables her to conduct in-depth assessments of ecological resilience and historical growth patterns of forest trees.

Teaching Experience 👩‍🏫

As an Associate Professor, Dr. Fang engages in teaching and mentoring students in ecology and environmental sciences, fostering the next generation of researchers. Her academic background enhances her ability to convey complex concepts effectively.

Legacy and Future Contributions 🔮

Dr. Fang’s ongoing research, including a forthcoming book on forest tree health, underscores her commitment to understanding ecological systems and contributing to sustainability. Her work aims to shape future research directions in forest ecology and climate adaptation strategies.

In summary, Dr. Ouya Fang’s academic and professional journey is marked by significant contributions to forest ecology, demonstrating her dedication to advancing knowledge and fostering resilience in natural systems.

 

Top Noted Publications 📖

Tree-growth synchrony index, an effective indicator of historical climatic extremes
    • Authors: Hengfeng Jia, Jiacheng Zheng, Jing Yang, Lixin Lyu, Yuntao Dong, Ouya Fang
    • Journal: Ecological Processes
    • Year: 2024
Reducing continuous synchrony is an inherent property of tree growth in forests
    • Authors: Zhang, Q.-B.; Jia, H.; Zheng, J.; Fang, O.; Yang, J.; Langzhen, J.-Y.; Hebda, R.J.
    • Journal: Research Square
    • Year: 2023
Southeast Asian ecological dependency on Tibetan Plateau streamflow over the last millennium
    • Authors: Chen, F.; Man, W.; Wang, S.; Esper, J.; Meko, D.; Büntgen, U.; Yuan, Y.; Hadad, M.; Hu, M.; Zhao, X. et al.
    • Journal: Nature Geoscience
    • Year: 2023
Linkage between spruce forest decline and cloud cover increase in the Qilian Mountains of the northeastern Tibetan Plateau
    • Authors: Jing Yang, Baowei Zhao, Jiacheng Zheng, Qi Zhang, Yan Li, Fuhai Ma, Ouya Fang
    • Journal: Trees
    • Year: 2023
Tree-ring evidence of ecological stress memory
    • Authors: Yumei Mu, Lixin Lyu, Yan Li, Ouya Fang
    • Journal: Proceedings of the Royal Society B: Biological Sciences
    • Year: 2022
Non-linear modelling reveals a predominant moisture limit on juniper growth across the southern Tibetan Plateau
    • Authors: Hengfeng Jia, Ouya Fang, Lixin Lyu
    • Journal: Annals of Botany
    • Year: 2022

Mohamed Bendahan | Communication et réseaux | Best Researcher Award

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Mr. Mohamed Bendahan | Communication et réseaux | Best Researcher Award

Mr. Mohamed Bendahan at Université Mohammed V de Rabat, Morocco

👨‍🎓  Profiles

Early Academic Pursuits 🎓

The academic journey began with a Bachelor’s degree in French Language and Literature, followed by a DEA in Information and Communication Sciences. A Doctorate from Lyon 2 was completed, leading to an habilitation to supervise research obtained in 2013, which reinforced academic credibility in the field.

Professional Endeavors 💼

Currently a Professor of Higher Education at Mohammed V University in Rabat, the individual holds several key positions, including Director of the ALESCO Chair on “Territorial Communication and Social Dynamics” and the doctoral school “Information and Communication Sciences.” As an expert evaluator and member of various scientific committees, they actively contribute to research development in their domain.

Contributions and Research Focus 🔍

Research focuses on the evolution of communication in Morocco, media usage, and communication within public governance. International projects, such as those related to the mediation of civic and religious initiatives and crisis communication during the COVID-19 pandemic, demonstrate a commitment to regional and global engagement.

Impact and Influence 🌍

Involvement in international scientific networks and membership in associations such as SFSIC and AMSIC amplify the impact of their work. Responsibility for various research projects highlights a dedication to fostering dialogue between researchers and practitioners.

Academic Cites 📚

Publications include books, chapters, and articles in indexed and peer-reviewed journals. Contributions to conferences and coordination of journal issues enhance academic visibility. Academic evaluations further demonstrate recognition in the field.

Technical Skills 🛠️

Technical expertise encompasses research methodology, public and territorial communication, and digital communication strategies. Experience in supervising projects and theses showcases the ability to guide students through their academic journeys.

Teaching Experience 👩‍🏫

Since 2005, teaching various Bachelor’s and Master’s programs in communication has facilitated the transfer of knowledge on communication theories, audiovisual communication, and communication strategy. Involvement in internship supervision enhances students’ practical learning.

Legacy and Future Contributions 🔮

With a continued commitment to teaching and research, the professor aims to influence future generations of communicators. Ongoing projects focused on sustainable development and responsible communication indicate a promising future and a desire to leave a positive legacy in the field.

 

📖 Top Noted Publications

The Contribution of Religion to Protest Mobilization on Digital Social Networks
    • Authors: Khalid Ait Hadi; Mohamed Bendahan; Saad Chemaou
    • Journal: Religions
    • Year: 2024
Médiatisation, (nouveaux) militantismes et numérisation
    • Authors: Tudor, M.-A.; Bendahan, M.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2022
Social Entrepreneurship in Morocco: From Activism to Development Expertise
    • Authors: Chemaou, S.; Bendahan, M.; Bratosin, S.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2022
The Arabic-speaking press in England through the prism of the Gulf policies
    • Authors: Nader, A.; Bendahan, M.
    • Journal: Revue des Mondes Musulmans et de la Mediterranee
    • Year: 2022
Television channels in the face of the covid-19 pandemic: Case of public television channels in Morocco
    • Authors: Kabbadj, M.; Bendahan, M.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2021
Religious media in the Maghreb: What are the boundaries between the public and private spheres?
    • Authors: Bendahan, M.; Akhiate, Y.
    • Journal: Religions
    • Year: 2020
Communications and Mobility: The Migrant, the Mobile Phone, and the Container Box
    • Authors: Bendahan, Mohamed
    • Journal: HESPERIS-TAMUDA
    • Year: 2018

 

Noor Ul Hadi | Strategic Management | Best Researcher Award

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Dr. Noor Ul Hadi | Strategic Management | Best Researcher Award

Doctorate at Prince Mohammad Bin Fahd University, Saudi Arabia

PROFILES👨‍🎓

 BIOGRAPHY OF DR. NOOR UL HADI 🌟

EARLY ACADEMIC PURSUITS 🎓

Dr. Noor Ul Hadi began her academic journey with a strong foundation in Strategic Management. She earned her advanced degrees from prestigious institutions, where she honed her research skills and developed a passion for data analysis and sustainable business practices. Her commitment to education laid the groundwork for her future endeavors in academia and research.

PROFESSIONAL ENDEAVORS 💼

Currently an Associate Professor at Prince Mohammad Bin Fahd University, Saudi Arabia, Dr. Hadi has built a distinguished career in higher education. With over 30 published articles in reputable journals, she has significantly contributed to the academic community, engaging in editorial roles and fostering collaborations with fellow researchers.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Dr. Hadi’s research primarily revolves around Business Circularity, focusing on sustainable practices that align with the United Nations Sustainable Development Goals (SDGs). Her work addresses critical areas such as public health, quality education, and responsible consumption, making her contributions essential for advancing sustainability in industry and society.

IMPACT AND INFLUENCE 🌍

Her influential papers on data analysis have garnered substantial citations, underscoring her impact in the field. Notably, her insights into small enterprises and social entrepreneurship are pivotal for fostering economic growth and innovation. Dr. Hadi’s work in recycling and circular economy principles has inspired both academic peers and industry practitioners.

ACADEMIC CITES 📚

With a citation index of 2107 on Google Scholar, Dr. Hadi’s research is widely recognized and cited. Her notable publications highlight the importance of strategic management in contemporary business practices and demonstrate her leadership in fostering responsible innovation.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Noor Ul Hadi is committed to advancing knowledge and practices in sustainable business. Her future contributions aim to deepen the understanding of circular economy principles and promote sustainable development in academia and industry. Through her mentorship and research initiatives, she continues to inspire the next generation of scholars and practitioners.

TOP NOTED PUBLICATIONS 📖

Unveiling the Complex Relationship between Open Circular Innovation and Business Circularity: The Role of Circular-Based Dynamic Capabilities and Circular Ambidexterity
  • Authors: Hadi, N.U.
    Journal: Sustainability (Switzerland)
    Volume: 16
    Issue: 17
    Pages: 7647
    Year: 2024
Fostering hotel ambidexterity through knowledge-sharing culture and knowledge-sharing behavior: a study of the hospitality sector in Pakistan
  • Authors: Hadi, N.U., Sheikh, S.A.
    Journal: Business Process Management Journal
    Volume: 30
    Issue: 4
    Pages: 1297–1313
    Year: 2024
Promoting sustainable learning among accounting students: evidence from field experimental design
  • Authors: Hadi, N.U., Abdel-Razzaq, A.I.
    Journal: Higher Education, Skills and Work-based Learning
    Volume: 14
    Issue: 2
    Pages: 479–491
    Year: 2024
Exploring the Relationship Between Performance Assessment and Employee Performance: The Role of Performance Planning and Performance Review
  • Authors: Al Thawadi, M.M., Hadi, N.U.
    Book Title: Studies in Systems, Decision and Control
    Volume: 517
    Pages: 523–531
    Year: 2024
Simple Mediation Analysis: The Complementing Role of Parallel Multiple Mediation Approach via Process Analysis
  • Authors: Mahmood, N., Hadi, N.U., Talha, M.
    Book Title: Studies in Systems, Decision and Control
    Volume: 517
    Pages: 479–493
    Year: 2024