Mohammad Belal | Policy Implications | Best Researcher Award

Posted on by ScienceFather

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.

đź’Ľ 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.

đź“š 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

Dip Patel | Data Analyst | Global Data Innovation Recognition Award

Posted on by ScienceFather

Mr. Dip Patel | Data Analyst | Global Data Innovation Recognition Award

Vira Design LLC | United States

PUBLICATION PROFILE

Google Scholar

INTRODUCTION 🌟

Mr. Dip Patel is a passionate and detail-oriented IT professional with a strong background in both civil engineering and information technology. With a natural flair for problem-solving and a zero-tolerance attitude toward errors, Dip is committed to delivering precise and innovative solutions in every role he undertakes. Currently based in Ashburn, Virginia, he brings creativity, dedication, and a deep desire to showcase his technical skills and knowledge in real-world applications.

EARLY ACADEMIC PURSUITS 🎓

Dip began his academic journey in civil engineering, earning a Bachelor of Engineering degree from Government Engineering College, Modasa, where he studied from May 2013 to May 2017. His strong technical foundation and analytical mindset led him to pursue a different path aligned with his growing interest in the digital world. He later obtained a Master of Science in Information Technology from the University of North America, Fairfax, VA, graduating in September 2022. This educational transition marked a pivotal point in his career, equipping him with cross-disciplinary knowledge in both structural systems and digital infrastructure.

PROFESSIONAL ENDEAVORS đź’Ľ

Dip has accumulated valuable experience in roles that showcase both his technical and analytical capabilities. Starting as an AWS Data Engineer at Vira Design, LLC in Sterling, VA (Oct 2022 – Apr 2024), he honed his skills in cloud infrastructure and data processing. His career evolved into a series of impactful Data Analyst roles at D3 Services (May – June 2024), Ramji LLC (July 2024 – Feb 2025), and again at Vira Design, LLC (Feb 2025 – Present), where he continues to contribute to intelligent data solutions. Dip’s professional network includes strong references from colleagues and supervisors such as Priyank Vira, Sunil Joshi, and Shital Patel, reflecting his reputation for reliability and innovation in the workplace.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

In addition to his work experience, Dip has demonstrated an active interest in cybersecurity and the intersection of technology with public health. His personal project, “Cyber Security in Health Sector” (June–August 2022), explored data privacy and information protection within healthcare systems, an increasingly critical issue in today’s digital age. Dip’s approach blends technical expertise with a problem-solving mindset, making him well-suited for roles that demand both innovation and strategic thinking.

IMPACT AND INFLUENCE 🌍

Through his various roles in the IT and data analytics sectors, Dip has contributed to enhancing data quality, optimizing systems, and supporting informed decision-making. His work has helped businesses streamline operations, secure sensitive information, and utilize data for strategic growth. Dip’s cross-disciplinary education and multicultural fluency (English, Gujarati, and Hindi) allow him to connect and collaborate across diverse teams and industries, making him a valuable asset in the global workforce.

ACADEMIC CITATIONS AND PUBLICATIONS đź“š

While Dip has not yet published formal academic research or citations, his Cyber Security in Health Sector project stands as a testament to his independent research capability and interest in real-world technical challenges. His academic journey suggests a potential for future contributions to white papers, technical blogs, or case studies in data analytics and cybersecurity.

HONORS & AWARDS 🏅

Although formal awards are not listed, Dip has earned recognition through continued trust and re-employment by top firms such as Vira Design, LLC, highlighting his dependable performance and consistent contributions. His growing reputation in the fields of AWS data engineering and analytics demonstrates a career marked by impact and potential.

LEGACY AND FUTURE CONTRIBUTIONS đź”®

Dip Patel is a professional on the rise, with ambitions to continue exploring innovative data technologies and making meaningful contributions in cybersecurity and data science. He aims to further expand his knowledge, take on leadership roles, and drive transformation across industries through data-driven insights and secure technology systems.

FINAL NOTE ✨

Dip Patel represents the new generation of tech-savvy professionals who combine cross-functional expertise with a global perspective. With solid experience in data analytics, cloud engineering, and cybersecurity, paired with a relentless drive for perfection, he is ready to take on new challenges and make a lasting mark in the world of information technology. His journey so far reflects not only technical excellence but also the mindset of a lifelong learner and visionary thinker.

TOP NOTES PUBLICATIONS 📚

Title: Comparative Analysis of Data Visualization Tools: Tableau, Power BI & Looker

    • Authors: DB Patel

    • Journal: The Eastasouth Journal of Information System and Computer Science (ESISCS)

    • Year: 2023

Title: Reinforcement Learning in Dynamic Pricing Models for E-Commerce

    • Authors: DB Patel

    • Journal: The ES Economics And Entrepreneurship (ESEE)

    • Year: 2022

Title: Dynamic vs. Static Visualizations: Understanding Their Use Cases in Big Data Analysis

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2022

Title: Building Scalable Business Intelligence Systems in the Cloud: A Technical Approach

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2021

Title: Understanding the Impact of Text Analytics on Social Media Sentiment Analysis

    • Authors: DIPB Patel

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Posted on by ScienceFather

Dr. Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Prince Sattam Bin Abdulaziz University | Saudi Arabia

PUBLICATION PROFILE

Scopus

Orcid

INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS đź’Ľ

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS đź“š

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm

    • Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber

    • Journal: Scientific Programming

    • Year: 2022

Architecture of Data Lake

    • Authors: S Ahmad, A Singh

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things

    • Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon

    • Journal: Computers, Materials & Continua

    • Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption

    • Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …

    • Journal: Scientific Programming

    • Year: 2022

IoT Based Pill Reminder and Monitoring System

    • Authors: S Ahmad, H Mahamudul, M Gouse Pasha

    • Journal: International Journal of Computer Science and Network Security

    • Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol

    • Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …

    • Journal: Tsinghua Science and Technology

    • Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging

    • Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …

    • Journal: IEEE Access

    • Year: 2023

 

Imtiaz Ahmad | Peristaltic phenomenon | Best Researcher Award

Posted on by ScienceFather

Dr. Imtiaz Ahmad | Peristaltic phenomenon | Best Researcher Award

Mirpur University of Science and Technology (MUST), Mirpur | Pakistan

PUBLICATION PROFILE

Orcid

Scopus

Dr. Imtiaz Ahmad  Assistant Professor, Department of Mathematics | Mirpur University of Science and Technology (MUST), Mirpur AJ&K 🌟

👨‍🏫 Professional Background & Experience

Dr. Imtiaz Ahmad is an accomplished Assistant Professor in the Department of Mathematics at Mirpur University of Science and Technology (MUST), with a PhD in Mathematics. With over 20 years of experience in both teaching and academic administration, Dr. Ahmad has contributed significantly to the growth of higher education institutions in Pakistan. He has taught diverse mathematical courses at both undergraduate and graduate levels, specializing in Fluid Mechanics, Dynamical Systems, and Numerical Analysis. His leadership as the Director of the Quality Enhancement Cell (QEC) at MUST, where he launched Online Education, is a testament to his forward-thinking approach to education.

🎯 Research Interests & Areas of Expertise

Dr. Ahmad’s research interests are centered around Fluid Mechanics đź’§, Nonlinear Dynamical Systems 🔄, Bifurcation Theory 🌀, and Boundary Value Problems 🧩. His academic focus is aimed at understanding complex systems and exploring mathematical models that can help in real-world applications. His research plays a pivotal role in furthering the knowledge in Applied Mathematics and its practical applications.

🏆 Awards & Recognitions

Throughout his career, Dr. Ahmad has received multiple honors and awards for his outstanding contributions to academia. These include an HEC Scholarship for his PhD studies, as well as Certificates of Appreciation for his leadership in launching online education at MUST. He was also recognized for his contributions to quality assurance in higher education by the President of AJ&K in 2020. In addition, he is serving as a Technical Program Committee Member for the 3rd International Conference on Acoustics, Fluid Mechanics, and Engineering (AFME 2024) in Hangzhou, China.

🧑‍🎓 Graduate Students Mentorship

Dr. Ahmad has mentored numerous graduate students in the field of mathematics. His guidance has shaped the careers of many MPhil and MSc/BS students, with several of them continuing their academic journeys in the field. His supervision includes students such as Usama Munir, Farzeen Ashfaq, and Yusra Rani, with many students contributing to research areas related to Fluid Mechanics and Dynamical Systems.

đź“š Courses Taught

Dr. Ahmad has taught a wide array of courses at both the graduate and undergraduate levels, including Fluid Mechanics, Dynamical Systems, Calculus of One and Several Variables, MagnetoHydroDynamics (MHD), and Numerical Analysis. He aims to provide students with a deep understanding of complex mathematical concepts, helping them to apply these theories in practical, real-world contexts.

🌍 Professional Service & Committees

In addition to his teaching and research, Dr. Ahmad is actively involved in the academic community through his service roles. He has been a reviewer for national and international journals, an external reviewer for institutional evaluations, and has contributed to curriculum development and performance reviews at various universities. He also played a key role in the Pakistan Network of Quality Assurance in Higher Education (PNQAHE), helping to advance quality assurance practices in universities across the country.

đź“ś Academic Leadership & Contributions

Dr. Ahmad has demonstrated exemplary academic leadership through his tenure as Director of the Quality Enhancement Cell at MUST. Under his leadership, the university introduced online education, earning recognition from both the Vice Chancellor and the President of AJ&K. His efforts in academic administration have greatly enhanced the educational experience at MUST, furthering the university’s mission of providing quality education.

📚 Top Notes Publications 

Thermal analysis of hybrid nanofluid flow in blood vessels with peristalsis: Case study for Hall current and radiative heat transfer

    • Authors: Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan, Lioua Kolsi, Nidhal Becheikh, Kaouther Ghachem

    • Journal: Case Studies in Thermal Engineering

    • Year: 2025

Exploring thermal characteristics of Carreau-hybrid nanofluid (Ag–CuO/EG) in curved channels with convective boundaries

    • Authors: Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan

    • Journal: Modern Physics Letters B

    • Year: 2024

Peristaltic transport of Prandtl hybrid nanofluid (MWCNTs-SWCNTs/engine oil) in non-uniform ducts: Exploring electro-osmosis and Joule heating effects through Keller box simulations

    • Authors: Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan

    • Journal: Modern Physics Letters B

    • Year: 2024

Complex Dynamics of a Discretized Predator–Prey System with Prey Refuge Using a Piecewise Constant Argument Method

    • Authors: Rizwan Ahmed, Abdul Qadeer Khan, Muhammad Amer, Aniqa Faizan, Imtiaz Ahmed

    • Journal: International Journal of Bifurcation and Chaos

    • Year: 2024

Properties of Functions with Symmetric Points Involving Subordination

    • Authors: Malik Ali Raza, Syed Zakar Hussain Bukhari, Imtiaz Ahmed, Muhammad Ashfaq, Maryam Nazir, Wasim Ul-Haq

    • Journal: Journal of Function Spaces

    • Year: 2022

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

Posted on by ScienceFather

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

Universidad AutĂłnoma de Madrid | Spain

PUBLICATION PROFILE

Scopus

Orcid

INTRODUCTION 👩‍🔬

Dr. Isabel Lastres-Becker is an Associate Professor at the Universidad AutĂłnoma 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 AutĂłnoma de Madrid since October 2021, after having previously served as a RamĂłn 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 đź“š

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 đź”®

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. RodrĂ­guez-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. MartĂ­n-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. MartĂ­nez, I. Lastres-Becker
    • Journal: Frontiers in Neuroscience
    • Year: 2024

Jinming Sha | Geospatial Intelligence | Excellence in Research

Posted on by ScienceFather

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)

đź’Ľ 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.

đź“š 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

yunhao zhao | Data Analysis Innovation | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. yunhao zhao | Data Analysis Innovation | Best Researcher Award

Qingdao Huanghai University, China

Author Profile

Orcid 

🧑‍🎓 Early Academic Pursuits

Yunhao Zhao was Shandong, P.R. China. His academic journey began with a strong foundation in International Economics and Social Security studies, setting the stage for his future research. After completing his undergraduate education, he became an associate professor at Qingdao Huanghai University, where he also supervises undergraduate students. His quest for further knowledge continues as he pursues a Ph.D. at The Catholic University of Korea, focusing on the evolving fields of economics and social security.

👨‍🏫 Professional Endeavors

Dr. Zhao’s academic career has been marked by significant contributions in the realms of data analysis and economic research. As an All-Media Operator and Associate Professor, he actively engages in both teaching and research at Qingdao Huanghai University. His dedication to advancing knowledge in the academic sphere extends to overseeing the academic progress of undergraduate students, ensuring they are equipped with the necessary skills and insights to excel in their respective fields.

đź“Š Contributions and Research Focus

Dr. Zhao’s primary research areas are data analysis, internet of things (IoT), and auction theory. His most notable work focuses on congestion control in IoT systems, where he applied auction theory to improve performance and efficiency. His research contributions are significant in their potential to drive forward the development of smarter and more efficient IoT networks. Furthermore, his work on energy consumption reduction demonstrates the real-world impact of his methods, achieving a remarkable 24.13% reduction in energy usage in experimental scenarios.

🌍 Impact and Influence

Dr. Zhao’s work has already made notable contributions to the global research community, evidenced by his publication in Scientific Reports (SCI) and recognition in high-impact journals. His research on IoT and auction theory has contributed to solving critical issues in technology and energy efficiency, impacting industries reliant on smart technology. His scholarly output has the potential to influence policy and innovation in areas such as network management and resource optimization.

🔧 Technical Skills

Dr. Zhao possesses advanced technical skills in data analysis, machine learning, and network optimization, particularly within the context of IoT systems. His expertise in auction theory and its applications in real-world scenarios is a testament to his depth of understanding and innovation in these areas. He is also adept at utilizing advanced analytical tools and methods to derive actionable insights from complex datasets.

👩‍🏫 Teaching Experience

As an Associate Professor at Qingdao Huanghai University, Dr. Zhao has extensive experience in educating the next generation of scholars and professionals. His role as a supervisor for undergraduate students allows him to nurture young talent and help shape their academic journeys. His commitment to teaching is evident through his personalized mentorship approach, guiding students to succeed in both their academic and professional aspirations.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Zhao aims to continue contributing to the field of International Economics and Social Security Studies, with a strong emphasis on data-driven solutions. His work has already proven impactful, and he intends to further refine his methodologies to solve pressing global issues such as economic inequality, social security systems, and technological advancements in IoT. His legacy will undoubtedly inspire future researchers and practitioners in these fields, and his work has the potential to pave the way for groundbreaking solutions in economic policy and technological development.

🏆 Recognition and Awards

Dr. Zhao’s academic achievements have garnered recognition within the research community. He is a strong candidate for the Best Researcher Award for his ongoing contributions to data analysis and IoT research. His ability to surpass existing methodologies, particularly in terms of energy efficiency, sets him apart as an innovator in his field. His commitment to advancing knowledge and solving real-world problems makes him a deserving nominee for such accolades.

 

đź“– Top Noted Publications

Congestion control in internet of things (IoT) using auction theory
    • Authors: Zhenlong Li; Yunhao Zhao
    • Journal: Scientific Reports
    • Year: 2024
Enhancing China’s green GDP accounting through blockchain and artificial neural networks (ANNs) and machine learning (ML) modeling
    • Authors: Nasi Wang; Yunhao Zhao; Jun Li; Guanfeng Cai
    • Journal: Scientific Reports
    • Year: 2024
Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC)
    • Authors: Yunhao Zhao; Xiaoqing Shu
    • Journal: Scientific Reports
    • Year: 2023

zahrasadat momeni | Game theory | Best Researcher Award

Posted on by ScienceFather

Mrs. zahrasadat momeni | Game theory | Best Researcher Award

Concordia University, Canada

👨‍🎓Professional Profile

Google Scholar Profile

đź“ť Summary

Mrs. Zahrasadat Momeni is a Ph.D. candidate at Concordia University, Canada, specializing in Structural Control Engineering. With advanced expertise in bridge dynamics, seismic analysis, and control systems, she designs systems that enhance bridge resilience to seismic activity. Zahrasadat’s approach combines cutting-edge software tools and AI/ML techniques to improve structural safety and performance.

🎓 Education

Zahrasadat holds a Ph.D. in Structural Control Engineering from Concordia University (2018–Present). She also completed a Post Graduate Degree in AI & Machine Learning at Purdue University (2021–2022). Prior to this, she earned her Master’s (2014–2016) and Bachelor’s (2008–2013) degrees in Civil Engineering from Sharif University of Technology and K.N.T University of Technology, respectively.

đź’Ľ Professional Experience

At Concordia University, Zahrasadat works as a Research and Analysis Specialist in Bridge Dynamics and Seismic Design. She develops advanced models to assess bridge behavior under seismic conditions and designs control systems to reduce vibrations and increase resilience. Previously, at Sharif University, she worked as a Research Assistant, where she led the seismic analysis and finite element modeling of long-span bridges.

đź“š Academic Citations

Her research on bridge control systems and seismic resilience has been cited in numerous civil engineering publications. Zahrasadat continues to contribute to the academic community with ongoing work on seismic design and structural control systems.

đź’» Technical Skills

Zahrasadat is proficient in structural analysis software such as SAP2000, ETABS, ABAQUS, CSiBridge, and MATLAB/Simulink. She is also skilled in Python programming and familiar with machine learning and data science tools like Jupyter Notebook and Visual Studio Code.

👩‍🏫 Teaching Experience

As a research assistant and teaching collaborator at Concordia University, Zahrasadat has provided hands-on guidance in seismic design and bridge dynamics. She has also mentored students in the use of finite element analysis and structural control systems.

🔬 Research Interests

Zahrasadat’s research interests focus on enhancing the seismic resilience of bridge structures through innovative control systems and AI/ML integration. She aims to improve bridge performance under dynamic loads and reduce the risk of collapse during seismic events.

 

đź“–Top Noted Publications

Intelligent control methodology for smart highway bridge structures using optimal replicator dynamic controller

Authors: Z. Momeni, A. Bagchi
Journal: Civil Engineering Journal
Year: 2023

Multi-objective control optimization of isolated bridge using replicator controller and NSGA-II

Authors: Z. Momeni, A. Bagchi
Journal: Heliyon
Year: 2023

Optimal replicator dynamic controller for semi-active control of long span cable stayed bridge with considering special variability of seismic excitations

Authors: Z. Momeni, A. Bagchi
Journal: Structures
Year: 2023