Mohammad Belal | Policy Implications | Best Researcher Award

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Mr. Mohammad Belal | Policy Implications | Best Researcher Award

 Aalto University | Finland

Publication Profile

Google Scholar

Biography of Mr. Mohammad Belal 👨‍💻

👨‍💻 Passionate Data Science & Machine Learning Enthusiast

Mohammad Belal is a driven researcher and technology enthusiast specializing in Data Science, Machine Learning, and Natural Language Processing (NLP). With a keen interest in solving social-centric problems, he is currently pursuing his Doctoral Research at Aalto University in Finland (2023-2027). His academic journey has been marked by a constant desire to understand and leverage data for impactful solutions.

🎓 Education

Mohammad holds a Master’s in Computer Application (MCA) from Aligarh Muslim University (AMU), where he achieved a remarkable CGPA of 9.32 and was among the top 3 in his class. He was awarded the prestigious University Merit Scholarship and actively contributed as a member of the Training and Placement Team. Prior to this, he completed his Bachelor’s in Computer Application (BCA), achieving a CGPA of 7.66 while working on a cab-hiring web application project.

🔬 Research Interests and Projects

Mohammad’s research interests revolve around exploring the intersection of technology and society. His ongoing research at Aalto University focuses on the association between internet usage and psychological well-being. He has previously worked on several impactful projects, including a study of social media usage by regional and national journalists with The News Lab at IIITD, and a sentiment analysis project during Colombia’s national strike using NLP techniques. His work on clustering the neighborhoods of Toronto based on cost of living using machine learning is a testament to his practical skills in data science.

💼 Professional Experience

his professional career, Mohammad has gained extensive experience in data science and business analysis. As a Data Scientist at TCNS Clothing Ltd., he worked on predictive modeling, sales reporting automation, and data-backed decision-making for marketing and sales. He also worked as a Data Analyst for CraftBazar, where he assisted in generating insights from sales data. Additionally, Mohammad has experience as a Web Developer at The Wings of Desire, where he managed the company website and supported event organization, as well as a Content Creator for UC Browser.

🗣️ Workshops and Conferences

Mohammad has actively participated in various workshops and conferences to stay updated in his field. He attended the Responsible AI for Peace and Security conference organized by the United Nations in 2024 and participated in discussions on the ethics of disruptive technology at IIITD Delhi. He has also attended workshops on Data Science using Python and Cyber Security, further strengthening his skills in these areas.

🎓 MOOCs and Certifications

To further his expertise, Mohammad has earned numerous online certifications in data science and machine learning, including a Data Science Professional Certificate from IBM and Neural Networks and Deep Learning from DeepLearning.AI. He has also completed specialized courses in Statistics for Data Science with Python and Computational Thinking for Problem Solving from Coursera and the University of Pennsylvania.

🏆 Awards & Achievements

Throughout his academic journey, Mohammad has been recognized for his outstanding performance. He received the Merit-cum-Means Scholarship from the Indian Government for three consecutive years during his Master’s program. His academic excellence was further acknowledged with a University Merit Scholarship at AMU.

📚 Top Notes Publications

Leveraging ChatGPT as Text Annotation Tool for Sentiment Analysis

    • Authors: M Belal, J She, S Wong

    • Journal: arXiv preprint

    • Year: 2023

Islamophobic Tweet Detection Using Transfer Learning

    • Authors: M Belal, G Ullah, AA Khan

    • Journal: 2022 International Conference on Connected Systems & Intelligence (CSI)

    • Year: 2022

Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

    • Authors: AA Khan, M Belal, G Ullah

    • Journal: International Conference on IoT, Intelligent Computing and Security: Select

    • Year: 2023

Indian Healthcare Infrastructure Analysis During COVID-19 Using Twitter Sentiments

    • Authors: N Fatima, M Belal, K Kumar, R Sadaf

    • Journal: 2022 International Conference on Decision Aid Sciences and Applications

    • Year: 2022

Adapting to Change and Transforming Crisis into Opportunity-Behavioral and Policy Shifts in Sustainable Practices Post-Pandemic

    • Authors: E Zaidan, L Cochrane, M Belal

    • Journal: Heliyon

    • Year: 2025

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

Zafer Aslan | Atmospheric Science | Best Researcher Award

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Prof. Zafer Aslan | Atmospheric Science | Best Researcher Award

Istanbul Aydın University | Turkey

PUBLICATION PROFILE

Google Scholar 

Prof. Zafer Aslan⚡🌍

👩‍🏫 Summary

Prof. Zafer Aslan is a distinguished academic with a strong background in atmospheric sciences. She holds a Ph.D. from Istanbul Technical University and has extensive experience in international research, having visited top institutions like the University of Washington (USA) and ICTP (Italy). Currently, she serves as the Vice Rector and a Professor at Istanbul Aydın University, where she also leads international relations and research initiatives. With over 50 publications and extensive contributions to multiple academic journals, Prof. Aslan is a highly respected figure in her field.

🎓 Education

  • B.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1975)
  • M.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1981)
  • Ph.D. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1987)

💼 Professional Experience

Prof. Aslan’s career spans across various institutions in both academic and leadership roles:

  • Vice Rector & Professor at Istanbul Aydın University, Department of Computer Engineering (2009–Present)
  • Vice Dean at Kafkas University (1994–1997)
  • Vice Rector & Dean at Beykent University (1997–2004)
  • Teaching Member & Vice Director at Istanbul Commerce University (2004–2005)
  • She has also been involved with international organizations such as ICTP, where she held roles like Senior Associate and Project Coordinator.

📚 Academic Citations & Recognition

  • Over 50 publications in refereed journals.
  • Editor for 9 international journals.
  • Awarded the Paul Tissandier Award (2013) and the Simons Associate Award (2014) for her research contributions.
  • A member of notable organizations such as ICTP-OWSD and FAI-OSTIV.

🛠️ Technical Skills

Prof. Aslan’s expertise encompasses a wide range of disciplines:

  • Atmospheric Physics & Climatology
  • Renewable Energy, particularly Wind and Solar Energy Potential
  • Applied Mathematics and Data Mining techniques for research and analysis
  • Satellite Data applications in environmental research.

👨‍🏫 Teaching Experience

Prof. Aslan has guided numerous students at the Master’s and Ph.D. levels, with ongoing supervision of graduate theses in the fields of:

  • Atmospheric Sciences
  • Renewable Energy (Wind and Solar)
  • Machine Learning applications in environmental and engineering problems.

🔬 Research Interests ON Atmospheric Science

Her primary research interests include:

  • Atmospheric Convection & Thermal Soaring (related to aviation and meteorology)
  • Data Analysis in Atmospheric Sciences (e.g., using data mining and machine learning techniques for environmental modeling)
  • Contributions to Renewable Energy studies, especially regarding wind and solar energy potential in Turkey.

📚 Top Notes Publications

Article: Earth virtualization engines (EVE)

Author(s): B Stevens, S Adami, T Ali, H Anzt, Z Aslan, S Attinger, J Bäck, J Baehr, …
Journal: Earth System Science Data
Year: 2024

Article: Effects of climate change on soil erosion risk assessed by clustering and artificial neural network

Author(s): Z Aslan, G Erdemir, E Feoli, F Giorgi, D Okcu
Journal: Pure and Applied Geophysics
Year: 2019

Article: Rank determination of mental functions by 1D wavelets and partial correlation

Author(s): Y Karaca, Z Aslan, C Cattani, D Galletta, Y Zhang
Journal: Journal of Medical Systems
Year: 2017

Article: Harmonic analysis of precipitation, pressure, and temperature over Turkey

Author(s): Z Aslan, D Okcu, S Kartal
Journal: NUOVO CIMENTO-SOCIETA ITALIANA DI FISICA SEZIONE C
Year: 1997

Article: Global wind energy assessment of Turkey and a case study in the northwest

Author(s): Z Aslan, S Mentes, MA Yukselen, S Tolun
Journal: International Energy Symposium 21st Century, Istanbul
Year: 1994

Article: Güneş enerjisi potansiyelinin çoklu lineer regresyon ve yapay sinir ağları ile modellenmesi

Author(s): D Gabralı, Z Aslan
Journal: AURUM Journal of Engineering Systems and Architecture
Year: 2020

Jinming Sha | Geospatial Intelligence | Excellence in Research

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Mr. Jinming Sha | Geospatial Intelligence | Excellence in Research

Fujian Normal University | China

PUBLICATION PROFILE

Scopus

Mr. Jinming Sha⚡🌍

👨‍🏫 Summary

Dr. Jinming Sha is a renowned researcher and academic specializing in remote sensing, GIS, and environmental monitoring. With extensive experience in rural development, landscape management, and the application of remote sensing technologies in natural resource management, he has contributed significantly to the field through both his research and teaching. His multidisciplinary expertise spans several continents, working with academic institutions in China, the USA, the Netherlands, the UK, and Canada.

🎓 Education

  • Post-doctoral Research in Remote Sensing for Agriculture, University of California, Davis, USA (2014)
  • Post-doctoral Research in Rural Development and Remote Sensing, ITC, University of Twente, Netherlands (2011)
  • Post-doctoral Research in Rural Development and Remote Sensing, Royal Holloway, University of London (2010)
  • Post-doctoral Research in Agricultural Remote Sensing, Agriculture Canada (2006)
  • Post-doctoral Research in Environmental Monitoring, Chengdu University of Technology (2004)
  • Ph.D. in Remote Sensing, Zhejiang University, China (2000)

💼 Professional Experience

Dr. Sha has held prestigious post-doctoral research positions across multiple leading institutions worldwide, focusing on remote sensing applications in agriculture, rural development, environmental monitoring, and ecological assessments. His work spans continents, enriching both global and local understanding of these critical environmental issues.

📚 Academic Cites and Publications

Dr. Sha has authored numerous influential papers and a book titled Remote Sensing Theories and Applications (2017). Some notable publications include:

  • Farmland dynamics in Pingtan, China: Understanding its transition, landscape structure, and driving factors, Environmental Earth Sciences (2019)
  • Monitoring of beach litter by automatic interpretation of unmanned aerial vehicle images, Marine Pollution Bulletin (2018)
  • Geographically Weighted Regression Effects on Soil Zinc Content, Hyperspectral Modeling, Remote Sensing (2019)
  • Review of the Spatial Distribution of Heavy Metal Pollution in China, Journal of Health & Pollution (2018)

🔧 Technical Skills

Dr. Sha is proficient in advanced GIS and remote sensing techniques, with expertise in:

  • Remote sensing for agriculture, rural development, and environmental monitoring
  • GIS-based spatial analysis and environmental modeling
  • Use of advanced image classification and land cover change detection techniques
  • Application of machine learning algorithms and spatial statistics for ecological studies

🧑‍🏫 Teaching Experience

Dr. Sha teaches and mentors students at Fujian Normal University in the School of Geographical Sciences, specializing in remote sensing, GIS, and environmental management. He has guided numerous Ph.D. and master’s students in these fields, fostering the next generation of environmental scientists and researchers.

🌍 Research Interests ON Geospatial Intelligence 

Dr. Sha’s research interests include:

  • Remote Sensing and GIS: Focus on the application of spatial technologies for environmental monitoring and land use analysis
  • Rural Development and Landscape: Exploring the intersection of rural growth, landscape dynamics, and sustainable resource management
  • Environmental Evaluation and Monitoring: Assessing the health and quality of ecosystems through remote sensing techniques
  • Eco-environmental and Resource Management: Using GIS and remote sensing tools to address challenges in eco-environmental conservation and natural resource management

📚 Top Notes Publications

Article: An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators

Authors: E. Shifaw, J. Sha, X. Li, Z. Ji, Y. Yang
Journal: Journal of Hydrology: Regional Studies
Year: 2025

Article: Does land use change decline the regional ecosystem health maintenance? Case study in subtropical coastal region, Fuzhou, China

Authors: Z. Fan, X. Li, C. Yang, S. Lai, J. Sha
Journal: Journal of Environmental Management
Year: 2025

Article: The effects of land cover transition and its patch mosaics on soil erosion using geospatial technology in South Wollo, Ethiopia

Authors: E. Shifaw, M.M. Assen, A.A. Eshetu, H. Birhanu, A.Y. Kassaye
Journal: Advances in Space Research
Year: 2025

Article: Application of a Modified Ecological Quality Monitoring Method in the Southeastern Hilly Region of China

Authors: Y. Huang, X. Fu, J. Sha, E. Shifaw
Journal: Remote Sensing
Year: 2024

Article: Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada

Authors: X. Wang, X. Li, J. Sha, S. Lai, J. Wang
Journal: Ecological Indicators
Year: 2024

Article: Detecting Trends in Post-Fire Forest Recovery in Middle Volga from 2000 to 2023

Authors: E.A. Kurbanov, L.V. Tarasova, A. Yakhyayev, D.M. Dergunov, A.V. Yastrebova
Journal: Forests
Year: 2024

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