Alireza sobbouhi | Predictive Modeling Innovations | Best Researcher Award

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Dr. Alireza sobbouhi | Predictive Modeling Innovations | Best Researcher Award

shahid beheshti university | Iran

Author Profile

Early Academic Pursuits 📚

Dr. Alireza Sobbouhi’s academic journey began at Shahid Beheshti University in Iran, where he developed a strong foundation in mathematics, statistics, and computational sciences. His early fascination with complex systems and data-driven decision-making led him to specialize in predictive modeling. This interest propelled him into graduate studies, where he focused on developing and applying sophisticated techniques for forecasting and analyzing data.

Professional Endeavors 💼

Dr. Sobbouhi’s career blends academic achievements with professional success. As a professor at Shahid Beheshti University, he has been deeply involved in teaching, research, and industry collaboration. His role in academia extends beyond teaching as he works on impactful projects that link predictive modeling with real-world applications, from healthcare to finance. His expertise has also made him a sought-after consultant, furthering his reach and influence in both academia and industry.

Contributions and Research Focus On Predictive Modeling Innovations🔬

Dr. Sobbouhi’s research is rooted in the advancement of predictive modeling. His contributions have introduced new methodologies to improve the accuracy and efficiency of data analysis in various domains. Some key areas of focus include:

  • Development of Predictive Algorithms: Crafting algorithms that provide more precise predictions in economic, healthcare, and environmental sectors.
  • Machine Learning Integration: Exploring ways to integrate machine learning techniques into predictive models for better data interpretation and forecasting.
  • Big Data Analytics: Focusing on scalable approaches to handle and analyze massive datasets to uncover patterns that traditional models might miss.

Impact and Influence 🌍

Dr. Sobbouhi’s work has had a profound impact, not only in academia but also across various industries. His innovative contributions to predictive modeling and machine learning have influenced numerous researchers and professionals in fields ranging from economics to environmental science. His approach to enhancing model reliability and interpretability has set new standards and inspired further research in data science. The applications of his work continue to improve decision-making processes worldwide.

Academic Cites 📑

Dr. Sobbouhi’s research has been extensively cited in scholarly articles, journals, and conferences, indicating the high regard in which his work is held. His studies on predictive analytics and statistical modeling have been foundational, influencing a wide range of studies in machine learning and data science. The frequency of his citations reflects the relevance and significance of his contributions to the broader scientific community.

Technical Skills 🧑‍💻

Dr. Sobbouhi possesses a diverse and deep technical skill set that includes:

  • Programming: Expertise in Python, R, and MATLAB for data analysis and modeling.
  • Statistical Modeling: Advanced proficiency in developing and applying statistical techniques for prediction and forecasting.
  • Machine Learning: Expertise in applying machine learning algorithms to large datasets to uncover trends and make predictions.
  • Data Visualization: Strong skills in visualizing complex datasets to facilitate understanding and decision-making.

These technical competencies allow him to tackle complex datasets and develop state-of-the-art predictive models.

Teaching Experience 🏫

As an educator, Dr. Sobbouhi has taught a variety of courses on statistics, data science, and machine learning at Shahid Beheshti University. His teaching style blends theoretical knowledge with practical applications, ensuring students are well-prepared for the real-world challenges of the data science field. Dr. Sobbouhi has also supervised many graduate students, guiding them in their research and helping to shape the next generation of data scientists.

Legacy and Future Contributions 🔮

Dr. Sobbouhi’s legacy is built on his innovative contributions to predictive modeling and data science. His ability to bridge the gap between academic theory and industry application has had a lasting influence on both fields. Looking ahead, Dr. Sobbouhi is expected to continue making groundbreaking advancements in predictive analytics, particularly in the integration of AI and machine learning into real-world applications. His future research will likely shape the development of new predictive tools, influencing a wide range of industries for years to come.

Notable Publications  📑 

A novel predictor for areal blackout in power system under emergency state using measured data
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2025
A novel SVM ensemble classifier for predicting potential blackouts under emergency condition using on-line transient operating variables
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2025 (April issue)
Transient stability improvement based on out-of-step prediction
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2021
Transient stability prediction of power system; a review on methods, classification and considerations
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2021
Online synchronous generator out-of-step prediction by electrical power curve fitting
    • Authors: Alireza Sobbouhi (main author)
    • Journal: IET Generation, Transmission and Distribution
    • Year: 2020
Online synchronous generator out-of-step prediction by ellipse fitting on acceleration power – Speed deviation curve
    • Authors: Alireza Sobbouhi (main author)
    • Journal: International Journal of Electrical Power and Energy Systems
    • Year: 2020

Youmna Iskandarani | Machine Learning | Best Researcher Award

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Ms. Youmna Iskandarani l Machine Learning | Best Researcher Award

American University of Beirut, Lebanon

Author Profile

Orcid

EARLY ACADEMIC PURSUITS 🎓

Youmna Iskandarani’s academic journey laid a robust foundation for her career in food science and technology. She earned her Bachelor’s degree in Dietetics and Clinical Nutrition Services from Lebanese International University, followed by a Bachelor of Applied Science in Food Science and Technology. Building on this knowledge, she pursued a Master of Science in Food Science and Technology, which further refined her expertise in food processing, safety, and research. During her studies, she also explored economics, expanding her understanding of the broader socio-economic factors influencing food systems.

PROFESSIONAL ENDEAVORS 💼

Youmna’s professional trajectory spans over a decade and includes a wealth of experience in community development, food technology, and business development. As the founder of Ossah Taybeh, a food heritage initiative, she has demonstrated her leadership in promoting sustainable food practices. Additionally, her role as a business development consultant and food expert for various organizations, including the World Food Programme (WFP) and UNDP, highlights her expertise in improving the socio-economic conditions of small and medium enterprises (SMEs) in Lebanon. Youmna has also worked with institutions like the American University of Beirut, where she contributed to food safety training, product development, and innovative food solutions. Her consulting work for international organizations and governments underscores her technical expertise in food processing, quality control, and business strategy.

CONTRIBUTIONS AND RESEARCH FOCUS  On  Machine Learning🔬

Throughout her career, Youmna has been at the forefront of several groundbreaking projects in food science and technology. She has published significant research, including studies on ADHD and nutrition, the production procedures of labneh anbaris (a traditional Lebanese yogurt), and food security. Her research in food safety, quality control, and food product development, especially in the dairy sector, has made substantial contributions to understanding the physicochemical properties of traditional food products. Additionally, her work in food safety, particularly related to cross-contamination prevention and dairy production processes, has helped improve the standards of food processing in Lebanon and beyond.

IMPACT AND INFLUENCE 🌍

Youmna’s impact extends far beyond her professional roles; she has become a key figure in advancing food safety and quality practices in Lebanon. As a consultant and trainer, she has helped develop and implement strategies that enhance the livelihoods of farmers and small business owners in rural and urban communities. Her work with the International Labour Organization (ILO) and various NGOs has supported entrepreneurial initiatives aimed at creating sustainable economic opportunities. Her efforts in building the capacity of SMEs and promoting socially impactful business practices have earned her recognition as a leader in both the food industry and community development sectors. Moreover, her role as a mentor and trainer for aspiring entrepreneurs has inspired many to develop their own successful ventures.

ACADEMIC CITATIONS AND RECOGNITION 🏅

Youmna’s research has been widely cited in academic circles, contributing to the fields of food science and public health. Her work on the physicochemical properties of labneh anbaris and her studies in the areas of food security and nutrition have been valuable in shaping food safety protocols and product development in Lebanon. She is recognized for her expertise in food technology and food safety, as well as for her commitment to advancing the quality and sustainability of food production systems in Lebanon and the broader region. Her contributions have made her a sought-after consultant and expert in various food safety and quality assurance projects.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Youmna Iskandarani is poised to continue making meaningful contributions to the fields of food science, business development, and community empowerment. Her passion for sustainability and rural development, combined with her technical expertise in food safety and quality assurance, will continue to guide her efforts in enhancing food systems and promoting socio-economic growth. Her vision for the future includes empowering more women and SMEs in the agri-food sector, improving the resilience of local food production systems, and advocating for healthier, safer, and more sustainable food practices. Youmna’s legacy will be built on her commitment to food security, innovation, and the betterment of her community and the global food industry.

 Top Noted Publications 📖

Microbial Quality and Production Methods of Traditional Fermented Cheeses in Lebanon

Authors: Mabelle Chedid, Houssam Shaib, Lina Jaber, Youmna El Iskandarani, Shady Kamal Hamadeh, Ivan Salmerón
Journal: International Journal of Food Science
Year: 2025

Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties

Authors: Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh
Journal: Fermentation
Year: 2024

Development and Validation of an Indirect Whole-Virus ELISA Using a Predominant Genotype VI Velogenic Newcastle Disease Virus Isolated from Lebanese Poultry

Authors: Houssam Shaib, Hasan Hussaini, Roni Sleiman, Youmna Iskandarani, Youssef Obeid
Journal: Open Journal of Veterinary Medicine
Year: 2023

Effect of Followed Production Procedures on the Physicochemical Properties of Labneh Anbaris

Authors: Ossama Dimassi, Youmna Iskandarani, Raymond Akiki
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Production and Physicochemical Properties of Labneh Anbaris, a Traditional Fermented Cheese Like Product, in Lebanon

Authors: Ossama Dimassi, Youmna Iskandarani, Michel Afram, Raymond Akiki, Mohamed Rached
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Mohammed Abdullah Alshahrani | Statistics | Best Researcher Award

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Dr. Mohammed Abdullah Alshahrani l Algorithm Development  | Best Researcher Award

Prince Sattam Bin Abdulaziz University, Saudi Arabia

Author Profile

Scopus

Orcid

EARLY ACADEMIC PURSUITS 🎓

Mohammed Abdullah Alshahrani’s academic journey began with a solid foundation in mathematics. His undergraduate studies at Bisha University in Saudi Arabia, culminating in a BSc in Mathematics with honors, set the stage for his future endeavors. His passion for applied statistics grew during his studies at King Saud University, where he earned a Diploma of MSc in Mathematics with exceptional academic performance. This dedication to mathematics led him to the University of Arkansas in the USA, where he completed his MSc in Applied Statistics with a remarkable GPA of 3.85 out of 4. Alshahrani continued his academic excellence by pursuing a PhD in Applied Statistics at the University of Leeds in the UK, focusing on statistical models and their applications.

PROFESSIONAL ENDEAVORS 💼

Alshahrani’s professional career is marked by significant achievements across academia and industry. As an Assistant Professor at Prince Sattam Bin Abdulaziz University, he has demonstrated his expertise in applied statistics by teaching and supervising various statistical courses and graduation projects. Additionally, his role as a consultant in statistics and data science at the Institute of Research and Consulting Services at the same university highlights his ability to bridge academia and practical problem-solving in fields like genetics, financial data analysis, and high-dimensional datasets.

His experience extends beyond academia to notable positions in national institutions. At the General Authority for Statistics, he worked as a Big Data Expert and later as the Director of the Innovation Lab, where he led various projects related to big data, mobile positioning, and satellite data analysis, contributing to national initiatives such as the Household Income and Expenditure Survey and the Real Estate Price Index. He also played a key role in the creation of automated systems for data error detection and the calculation of socioeconomic indices.

CONTRIBUTIONS AND RESEARCH FOCUS  On Statistics🔬

Alshahrani’s research has largely revolved around the application of statistical methods like regression, classification, and clustering to various domains. His work in applied statistics has spanned several fields, including genetics, financial analysis, and public policy. By developing statistical models and utilizing big data techniques, Alshahrani has made significant strides in areas like the Consumer Price Index (CPI) calculation, energy surveys, and the development of machine learning models for outlier detection. His contributions to academic conferences, workshops, and publications, such as those in the areas of deep learning, drought analysis, and plant disease classification, demonstrate his versatile application of statistical techniques to real-world problems.

IMPACT AND INFLUENCE 🌍

Alshahrani’s work has had a profound impact on the academic community, public policy, and the private sector. His research contributions, including new sine-induced statistical models and deep learning applications, have influenced how complex datasets are analyzed and interpreted. His involvement in high-profile projects, such as the Household Income and Expenditure Survey and the real estate index, has provided actionable insights for Saudi Arabia’s economic and social policies. As a speaker at international conferences and a workshop leader, Alshahrani has become a thought leader in the field of applied statistics and data science, sharing his knowledge and inspiring others to explore these areas.

ACADEMIC CITATIONS AND RECOGNITION 🏅

Alshahrani’s scholarly impact is reflected in his numerous publications in esteemed journals. His work on various statistical models and data analysis techniques has been cited in academic circles and has contributed to the advancement of applied statistics. Through his leadership in both educational and professional settings, he has gained recognition for his innovative approaches to solving statistical problems, particularly in areas like public health, economics, and environmental studies. His publications, such as the development of a new drought index and fuzzy adaptive control charts, underscore his ability to combine theoretical research with practical applications.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

As Alshahrani continues to shape the future of applied statistics, his legacy is one of innovation, mentorship, and the pursuit of excellence. His ongoing work in academia and consultancy positions him to influence future generations of statisticians and data scientists. With a passion for developing statistical methods and building data-driven solutions for societal challenges, Alshahrani is poised to make lasting contributions to both the academic field and public policy. His focus on AI, machine learning, and the development of statistical software packages, along with his interest in R Shiny applications, indicates that his future contributions will continue to push the boundaries of statistical analysis and its applications in real-world problems.

 Top Noted Publications 📖

  • On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods
    • Authors: Wan, M., Alshahrani, M.A., Aloraini, N.M., Alkhathami, A.A., Alqahtani, H.
    • Journal: Alexandria Engineering Journal
    • Year: 2025
  • A Fuzzy Adaptive Control Chart as an Alternative to Neutrosophic Techniques for Handling Imprecise Data
    • Authors: Alshahrani, M.A., Khan, I., Sumelka, W.
    • Journal: International Journal of Neutrosophic Science
    • Year: 2025
  • A new probabilistic model: Its implementations to time duration and injury rates in physical training, sports, and reliability sector
    • Authors: Lu, G., Alamri, O.A., Alnssyan, B., Alshahrani, M.A.
    • Journal: Alexandria Engineering Journal
    • Year: 2024
  • Development of maximum relevant prior feature ensemble (MRPFE) index to characterize future drought using global climate models
    • Authors: Gul, A., Qamar, S., Yousaf, M., Alshahrani, M., Hilali, S.O.
    • Journal: Scientific Reports
    • Year: 2024
  • A support vector machine based drought index for regional drought analysis
    • Authors: Alshahrani, M., Laiq, M., Noor-ul-Amin, M., Yasmeen, U., Nabi, M.
    • Journal: Scientific Reports
    • Year: 2024

Amin Hekmatmanesh | Algorithm Development | Best Researcher Award

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Dr. Amin Hekmatmanesh l Algorithm Development  | Best Researcher Award

LUT University, Finland

Author Profile

Google Scholar

🔎 Summary

Dr. Amin Hekmatmanesh is a skilled biomedical engineer and data scientist, specializing in wearable sensors, AI, and machine learning applications for health technologies. He has extensive experience in biosignal processing (EEG, ECG, PPG, EMG, GSR, IMU), rehabilitation robotics, and medical device development. With a Ph.D. in Mechanical Engineering (Biomedical Engineering), he has made significant contributions to the field by developing real-time systems for rehabilitation and health monitoring. His research focuses on using AI to advance rehabilitation robotics and human-robot interactions, publishing over 30 peer-reviewed articles. He is also an active reviewer and editorial board member for several high-ranking journals.

🎓 Education

Dr. Hekmatmanesh holds a Ph.D. in Mechanical Engineering (Biomedical Engineering) from LUT University in Finland, where he achieved a GPA of 4.33. His dissertation focused on artificial intelligence and machine learning for EEG signal processing in rehabilitation robotics. He also completed his M.Sc. in Biomedical Engineering at Shahed University in Iran, with a perfect GPA of 4.0, and a B.Sc. in Electrical Engineering from Islamic Azad University, graduating with a GPA of 4.1.

💼 Professional Experience

Dr. Hekmatmanesh has a diverse professional background, having worked as a Lead Project Manager at Mevea Company, where he managed health monitoring system projects, incorporating wearable sensor technology. At Flowgait Company, he contributed to mathematical solutions for horse motion analysis. As a Junior Researcher and Project Manager at LUT University, he focused on wearable sensor systems and health monitoring. Additionally, he worked as a Research Assistant at Tehran University, working on diagnostic algorithms and therapeutic systems in health technologies.

📚 Academic Citations

Dr. Hekmatmanesh has published over 30 peer-reviewed papers, including book chapters and review articles, and his work has contributed significantly to the biomedical engineering and AI fields. His research has received wide recognition, and he is regularly invited to participate in scientific conferences and review for high-impact journals, showcasing his influence and contributions to advancing health technologies.

🔧 Technical Skills

Dr. Hekmatmanesh is highly proficient in biosignal processing, including EEG, ECG, PPG, EMG, GSR, and IMU signals. He is skilled in machine learning and AI, specifically for biosignal classification and real-time system development. His technical expertise extends to embedded electronics, sensor design, and circuit board assembly. He is proficient in Python and Matlab for data analysis and has experience using version control tools like GitHub to manage research projects.

🎓 Teaching Experience

Dr. Hekmatmanesh has been actively involved in teaching and mentoring within the biomedical engineering field. He has supervised PhD students and contributed to academic programs by delivering lectures and guiding research projects in health technologies, machine learning, and rehabilitation robotics.

🔬 Research Interests On Algorithm Development

Dr. Hekmatmanesh’s research interests include the development of wearable sensor systems for health monitoring, AI and machine learning techniques for biosignal classification, and the design and control of rehabilitation robotics. He is also focused on human-robot interactions and improving prosthetics control through innovative AI applications in healthcare.

📖 Top Noted Publications

Nanocaged platforms: modification, drug delivery and nanotoxicity. Opening synthetic cages to release the tiger
    • Authors: PS Zangabad, M Karimi, F Mehdizadeh, H Malekzad, A Ghasemi, …
    • Journal: Nanoscale
    • Year: 2017
Review of the state-of-the-art of brain-controlled vehicles
    • Authors: A Hekmatmanesh, PHJ Nardelli, H Handroos
    • Journal: IEEE Access
    • Year: 2021
Neurosciences and wireless networks: The potential of brain-type communications and their applications
    • Authors: RC Moioli, PHJ Nardelli, MT Barros, W Saad, A Hekmatmanesh, …
    • Journal: IEEE Communications Surveys & Tutorials
    • Year: 2021
A combination of CSP-based method with soft margin SVM classifier and generalized RBF kernel for imagery-based brain computer interface applications
    • Authors: A Hekmatmanesh, H Wu, F Jamaloo, M Li, H Handroos
    • Journal: Multimedia Tools and Applications
    • Year: 2020
EEG control of a bionic hand with imagination based on chaotic approximation of largest Lyapunov exponent: A single trial BCI application study
    • Authors: A Hekmatmanesh, RM Asl, H Wu, H Handroos
    • Journal: IEEE Access
    • Year: 2019

Omar Haddad | Artificial Intelligence | Best Researcher Award

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Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

💼 Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

📚 Contributions and Research Focus

Dr. Haddad’s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

🌟 Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

🛠️ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

👨‍🏫 Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

🏛️ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

🌐 Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

📖 Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024

Vinod Kumar | Big Data Analytics | Best Researcher Award

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Assoc Prof Dr. Vinod Kumar | Big Data Analytics | Best Researcher Award

FLAME University, India

Author Profile

Google Scholar

🌱 Early Academic Pursuits

Assoc Prof Dr. Vinod Kumar began his academic journey with a strong foundation in Mechanical Engineering, earning a Bachelor’s degree from Haryana College of Technology & Management, Kaithal. He then transitioned into the realm of business, acquiring a Master of Business Administration (MBA) in Marketing from Chandigarh Business School. His intellectual pursuit culminated in a Ph.D. in Marketing from the prestigious Indian Institute of Technology (IIT) Roorkee. His doctoral thesis, titled “Assessing the Influence of Stakeholders on Sustainability Marketing Strategy,” focused on how various stakeholders shape the strategies for sustainable marketing.

💼 Professional Endeavors

Dr. Kumar’s professional trajectory spans over a decade in academia, with positions at renowned institutions. His current role as an Associate Professor at FLAME University in Pune, Maharashtra, marks the latest phase in a distinguished career. Prior to this, he held faculty positions at MICA, Ahmedabad, Symbiosis Institute of Business Management, and the Indian Institute of Information Technology, Lucknow, among others. Additionally, Dr. Kumar’s experience in industry as a Sales Executive and Water Treatment Specialist adds practical insight to his academic teaching. This mix of academia and industry experience enriches his approach to teaching and research.

📚 Contributions and Research Focus

Dr. Kumar’s research primarily focuses on Brand Management, Digital Marketing, Green Marketing, Digital Business Strategy, and Social Media Marketing. His interdisciplinary approach integrates traditional marketing principles with the evolving digital landscape. Notable research projects include studying the relationship between stakeholders and sustainability strategies, and he has contributed significantly to the literature on stakeholder identification in marketing. Dr. Kumar has published papers in high-impact journals such as Management Research Review and has been honored with the Emerald Literati Network Award for Excellence in 2017 for his outstanding research.

🌍 Impact and Influence

Through his academic and professional roles, Dr. Kumar has made a substantial impact in shaping the marketing landscape. His research has not only contributed to the academic body of knowledge but has also influenced industry practices. The recognition of his work through awards like the Best Paper Award at AMRIT-2020 and Emerald Literati Network Awards for Excellence reflects his significant influence in the marketing and digital business strategy domains. Additionally, his consulting project on Digital Marketing Strategies and Tools for God’s Grace Distributions showcases his practical expertise and ability to drive business transformation.

📑 Academic Cites and Recognition

Dr. Kumar’s research has garnered widespread recognition and citation in leading academic forums. His work on Sustainability Marketing and Stakeholder Analysis is widely referenced in marketing and sustainability studies. His recognition by various academic bodies, including the FIIB Business Review as a reviewer and the AIM-AMA Sheth Foundation Travel Grant, further solidifies his standing as an authority in his field.

💻 Technical Skills

Dr. Kumar possesses advanced proficiency in digital marketing tools, UI/UX Design, Social Media Marketing, and Data Analytics. His expertise in Digital Business Strategy enables him to leverage digital platforms effectively for both academic purposes and real-world business solutions. This technical expertise is integrated into his teaching, providing students with a modern, practical learning experience that blends theory with the latest industry practices.

🎓 Teaching Experience

Dr. Kumar has held teaching positions across multiple prestigious institutions, where he has designed and taught courses on Marketing Management, Digital Marketing, Brand Management, and Sales and Distribution Management. His role as the Founding Head of the Department at IIIT Lucknow enabled him to create a dynamic curriculum and research environment for future leaders in business management. His approach to teaching combines innovative strategies, a deep understanding of digital platforms, and a focus on practical application, which has been appreciated by students and colleagues alike.

🌟 Legacy and Future Contributions

As a respected academic, Dr. Kumar has not only imparted knowledge but has also shaped the future of marketing education. His research continues to evolve, with ongoing supervision of Ph.D. students, such as Ms. Isha Sharma and Mr. Vibhav Singh. Dr. Kumar’s legacy is built upon his commitment to enhancing the relevance of marketing education in the digital age and his contribution to sustainability marketing. His future contributions are likely to have a significant impact on both academic literature and industry practices in digital business strategy, making him a thought leader to watch in the coming years.

📖 Top Noted Publications 

Evolution of Sustainability as Marketing Strategy: Beginning of New Era
    • Authors: V Kumar, Z Rahman, AA Kazmi, P Goyal
    • Journal: Procedia-Social and Behavioral Sciences
    • Year: 2012
Sustainability Marketing Strategy: An Analysis of Recent Literature
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Global Business Review
    • Year: 2013
Examining Consumer-Brand Relationships on Social Media Platforms
    • Authors: NK Jain, S Kamboj, V Kumar, Z Rahman
    • Journal: Marketing Intelligence and Planning
    • Year: 2018
Stakeholder Identification and Classification: A Sustainability Marketing Perspective
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Management Research Review
    • Year: 2016
Why Export Competitiveness Differs Within Indian Textile Industry? Determinants and Empirical Evidence
    • Authors: R Dhiman, V Kumar, S Rana
    • Journal: Review of International Business and Strategy
    • Year: 2020
Investigating the Impact of Online Service Convenience on Customer Engagement, Attitude and Intention to Use Food Delivery Apps
    • Authors: V Vandana, S Kumar, V Kumar, P Goyal
    • Journal: International Journal on Food System Dynamics
    • Year: 2023

Naiwei Lu | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Naiwei Lu | Data Analysis | Best Researcher Award

Changsha University of Science of Technology, China

Author Profiles

Orcid

Scopus

Research Gate

👨‍🏫 Associate Prof. Dr. Naiwei Lu

Assoc. Prof. Dr. Naiwei Lu is an Associate Professor in Civil Engineering at Changsha University of Science and Technology (CSUST), China. His research primarily focuses on reliability and safety in bridge engineering. He has a strong background in system reliability evaluation, fatigue analysis, and structural health monitoring, which he applies to the engineering and maintenance of long-span bridges. Dr. Lu is an active member of various international research communities and has been involved in multiple national and international projects.

🎓 Education Background

Dr. Naiwei Lu earned his Ph.D. in Civil Engineering from Changsha University of Science and Technology (CSUST) in 2015, under the supervision of Prof. Yang Liu. Prior to that, he completed his Master’s degree in Civil Engineering in 2011 and his Bachelor’s degree in Bridge Engineering in 2008, all at CSUST, Changsha, China. His academic journey laid a strong foundation for his expertise in bridge engineering and reliability analysis.

💼 Employment and Research Experience

Dr. Lu’s academic career began in 2015 when he became a Postdoctoral Researcher at Southeast University in Nanjing, China, where he worked under Prof. Mohammad Noori. He also held a Postdoctoral Researcher position at Leibniz University Hannover, Germany, working with Prof. Michael Beer. Since 2020, Dr. Lu has been serving as an Associate Professor at CSUST, where he also previously worked as a Lecturer from 2017 to 2019. His diverse academic and international experiences contribute to his deep expertise in bridge engineering.

💰 Research Funding

Dr. Lu has been the Principal Investigator (PI) of several funded research projects, including the National Science Funding in China for research on structural health monitoring of suspension bridges and the fatigue reliability evaluation of steel bridge decks. He has received significant funding support for his work in system reliability and dynamic analysis, with total funding exceeding ¥1 million for his various research initiatives. These projects aim to develop advanced methods for assessing the reliability and safety of long-span bridges.

🔍 Research Interests

Dr. Lu’s research spans several cutting-edge topics in structural engineering. His main research interests include system reliability evaluation of long-span bridges using intelligent algorithms 🤖, fatigue reliability of stay cables and orthotropic steel bridge decks 🌉, and probabilistic modeling using data from structural health monitoring 📊. He is also focused on intelligent maintenance and management of in-service bridges ⚙️, as well as uncertainty quantification in structural engineering 🛠️.

📚 Teaching Experience

As an educator, Dr. Lu teaches undergraduate courses such as Principle of Structural Design (in both Chinese and English) and Building Information Modeling (BIM) Technology (in Chinese). He has supervised 24 undergraduate students and 4 postgraduate students between 2017 and 2020, guiding them in various aspects of civil engineering, particularly related to bridge design, maintenance, and reliability.

🏗️ Engineering Activities

In addition to his academic role, Dr. Lu is a Registered Construction Engineer and a Registered Inspection Engineer in Municipal Engineering and Bridge & Tunnel Engineering, respectively. His engineering activities include overseeing the structural safety of long-span bridges during construction 🏗️, conducting structural health monitoring of suspension bridges 🌉, and contributing to the detection and reinforcement of aging bridges 🛠️. He has also been involved in the advance geological forecasting and monitoring of tunnels during construction, working on over five extra-long tunnels.

Dr. Naiwei Lu’s work integrates advanced intelligent algorithms, data-driven methods, and structural health monitoring to enhance the safety, reliability, and longevity of bridges and infrastructure systems. His research and engineering expertise continue to make significant contributions to the field of civil engineering.

📖Top Noted Publications 

Structural damage diagnosis of a cable-stayed bridge based on VGG-19 networks and Markov transition field: numerical and experimental study

Authors: Naiwei Lu, Zengyifan Liu, Jian Cui, Lian Hu, Xiangyuan Xiao, Yiru Liu

Journal: Smart Materials and Structures

Year: 2025

Coupling effect of cracks and pore defects on fatigue performance of U-rib welds

Authors: Yuan Luo, Xiaofan Liu, Fanghuai Chen, Haiping Zhang, Xinhui Xiao, Naiwei Lu

Journal: Structures

Year: 2025

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen

Authors: Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

Journal: Sensors

Year: 2024

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

Authors: Xinhui Xiao, Zepeng Wang, Haiping Zhang, Yuan Luo, Fanghuai Chen, Yang Deng, Naiwei Lu, Ying Chen

Journal: Sensors

Year: 2024

Experimental and numerical investigation on penetrating cracks growth of rib-to-deck welded connections in orthotropic steel bridge decks

Authors: Zitong Wang, Jun He, Naiwei Lu, Yang Liu, Xinfeng Yin, Haohui Xin

Journal: Structures

Year: 2024

Fatigue Reliability Assessment for Orthotropic Steel Decks: Considering Multicrack Coupling Effects

Authors: Jing Liu, Yang Liu, Guodong Wang, Naiwei Lu, Jian Cui, Honghao Wang

Journal: Metals

Year: 2024

Jiao Kai | Data Science | Best Researcher Award

Published on by Research Data Analysis

Prof Dr. Jiao Kai | Data Science | Best Researcher Award

Department of Stomatology, Tangdu Hospital, China

Author Profile

Orcid

👨‍⚕️ Prof. Dr. Jiao Kai - A Leading Expert In Stomatology

Early Academic Pursuits 🎓

Prof. Dr. Jiao Kai’s academic journey in stomatology began with a deep commitment to the field. He pursued higher education, ultimately becoming a doctoral supervisor. His early research laid the groundwork for his future breakthroughs, with a focus on oral medicine and temporomandibular joint disorders. Through rigorous training, he became an expert in the intricacies of oral health, reconstructive techniques, and joint disorders, propelling his career to new heights.

Professional Endeavors 💼

Currently, Prof. Dr. Jiao serves as the Director of the Department of Stomatology at Tangdu Hospital, Air Force Medical University. His role encompasses both clinical practice and leading research initiatives. In addition, he is the Branch Secretary and Director of the Oral Medicine Teaching and Research Section. As a Doctoral Supervisor and member of various esteemed professional organizations, his influence spans across national and international levels.

Contributions and Research Focus 🔬

Prof. Dr. Jiao’s research primarily targets the prevention, treatment, and regenerative reconstruction of temporomandibular joint disorders. Leading numerous high-level research projects, his groundbreaking work in regenerative techniques has advanced the understanding and treatment of joint disorders, focusing on enhancing patient outcomes. His contributions have garnered numerous awards and recognition for scientific progress in stomatology.

Impact and Influence 🌍

Prof. Dr. Jiao has left a significant mark on the field, with his research being cited over 3,200 times globally. He has earned recognition as a scientist in the top 2% worldwide. His work has shaped clinical practices and continues to influence stomatology, earning him a reputation as a global leader in his field. He is also a sought-after reviewer and editor for numerous prestigious journals.

Academic Cites 📚

Over the last five years, Prof. Dr. Jiao’s research has been cited more than 3,200 times, with over 20 of his papers having an impact factor (IF) greater than 10. His extensive body of work has set new benchmarks in oral medicine, influencing clinical practices and advancing the understanding of temporomandibular joint disorders.

Legacy and Future Contributions 🌱

Prof. Dr. Jiao’s legacy is rooted in innovation, mentorship, and exceptional research. His groundbreaking studies and pioneering therapeutic techniques have solidified his position as a global leader in stomatology. Committed to advancing temporomandibular joint disorder research, he remains dedicated to the development of regenerative treatments and fostering international collaborations for future advancements.

Awards and Recognitions 🏆

Prof. Dr. Jiao has received multiple accolades, including the prestigious First Prize from the Chinese Stomatological Association and for Scientific Progress in Shaanxi Province. He has been recognized as a Young Top Talent of the National "Ten Thousand Talents Program" and a Distinguished Young Scholar in Shaanxi Province for his outstanding contributions to research and innovation.

Patents and Technology Transfer 🛠️

Prof. Dr. Jiao has contributed significantly to applied science, holding 29 invention patents, with 16 attributed to him as the primary inventor. His patents have led to the commercialization of advanced technologies, contributing to the academic and industrial sectors with a total transfer value exceeding 10 million yuan.

Collaborations and Professional Memberships 🤝

Prof. Dr. Jiao’s collaborations with global experts such as Professor Xu Cao (Johns Hopkins University) and Professor Jiang Chang (Chinese Academy of Sciences) have enhanced his international influence. He holds leadership positions in several national and regional scientific organizations, including the Shaanxi Provincial Stomatological Association and the Shaanxi Oral Physicians Association, contributing to the progress of the field.

Books Published and Editorial Appointments 📖

Prof. Dr. Jiao has actively contributed to academic literature, participating in the compilation and translation of 12 books, and serving as the chief editor for four of them. His editorial roles in national and international journals reflect his dedication to advancing knowledge in the field of stomatology.

Areas of Research 🔍

His ongoing research focuses on the prevention, treatment, and regenerative regeneration of temporomandibular joint disorders, striving to develop innovative therapies that improve patient care and outcomes globally. His work continues to shape the future of stomatology and has made a lasting impact on medical practices worldwide.

Top Noted Publications 📖

Pathological mechanism of chondrocytes and the surrounding environment during osteoarthritis of temporomandibular joint

Authors: Li B, Guan G, Mei L, Jiao K, Li H

Journal: Journal of Cellular and Molecular Medicine

Year: 2021

Crosstalk between Bone and Nerves within Bone

Authors: Wan QQ, Qin WP, Ma YX, Shen MJ, Li J, Zhang ZB, Chen JH, Tay FR, Niu LN, Jiao K

Journal: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

Year: 2021

Matrix stiffening by self-mineralizable guided bone regeneration

Authors: Li J, Yan JF, Wan QQ, Shen MJ, Ma YX, Gu JT, Gao P, Tang XY, Yu F, Chen JH et al.

Journal: Acta Biomaterialia

Year: 2021

miR-200-3p suppresses cell proliferation and reduces apoptosis in diabetic retinopathy via blocking the TGF-β2/Smad pathway

Authors: Xue L, Xiong C, Li J, Ren Y, Zhang L, Jiao K, Chen C, Ding P

Journal: Bioscience Reports

Year: 2020

The 14-3-3η/GSK-3β/β-catenin complex regulates EndMT induced by 27-hydroxycholesterol in HUVECs and promotes the migration of breast cancer cells.

Authors: Zhen J, Jiao K, Yang K, Wu M, Zhou Q, Yang B, Xiao W, Hu C, Zhou M, Li Z

Journal: Cell Biology and Toxicology

Year: 2020

Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

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Dr. Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

The Ohio State University, United States

Author Profiles

Orcid

Google Scholar

Research Gate

Early Academic Pursuits 🎓

Dr. Rituraj Upadhyay began his academic journey with a strong foundation in medical education at the prestigious All India Institute of Medical Sciences (AIIMS), New Delhi. There, he completed his Bachelor of Medicine and Surgery (MBBS) in 2014, followed by an MD in Radiation Oncology (2017). His early medical training was marked by a deep interest in radiotherapy and oncology, leading him to pursue a Diplomate of National Board (DNB) certification in Radiation Oncology. His academic endeavors during this time reflected a commitment to advancing medical knowledge and improving patient care through radiation oncology.

Professional Endeavors 🌍

Dr. Upadhyay’s professional career has been driven by a passion for advancing radiation oncology, particularly through his work in clinical and academic settings. His residency at The Ohio State University Wexner Medical Center (2021–2025) is a notable highlight in his professional journey, demonstrating his commitment to mastering the latest technologies and treatments in radiation oncology. Dr. Upadhyay’s time at renowned institutions like MD Anderson Cancer Center and Rutgers Cancer Institute of New Jersey has further solidified his standing as an emerging leader in the field. His pursuit of innovation and excellence is evident from his involvement in advanced radiation oncology fellowships and international research collaborations.

Contributions and Research Focus 🔬

Dr. Upadhyay’s research is at the forefront of radiation oncology, with a focus on improving treatment outcomes and minimizing side effects. He has contributed significantly to clinical trials and funded research, such as the “PRIMe-STAR trial” on progressive/recurrent intracranial meningiomas and the “AVATAR” system aimed at reducing anesthesia needs in pediatric radiotherapy. His research on stereotactic radiosurgery for brain metastases and radiation therapy for conditions like penile cancer and renal stereotactic ablative therapy underscores his diverse interests in cancer treatment. His studies have potential global impact, as reflected in his leadership role in multinational research endeavors.

Impact and Influence 🌟

Dr. Upadhyay’s influence extends beyond his research. As an educator and mentor, he actively shapes the next generation of radiation oncologists. His roles in mentoring medical students, residents, and fellows at institutions like The Ohio State University and Massachusetts General Hospital highlight his dedication to guiding aspiring professionals. He also plays a key role in enhancing the field through his involvement in various professional organizations such as the American Society for Radiation Oncology (ASTRO) and the Radiosurgery Society (RSS). His work as a guideline reviewer and committee member for several radiation oncology societies reflects his broad influence on the development of standards and best practices in the field.

Academic Cites 📚

Dr. Upadhyay’s research and academic work are well-regarded, with his contributions earning recognition through numerous awards and honors. Notable accolades include the American College of Radiation Oncology (ACRO) Best Abstract Award and the American Radium Society (ARS) Early Career Oncologist Award, which are testaments to his influential research on topics like stereotactic radiosurgery and palliative radiation therapy. These accolades further cement his reputation in the academic community, demonstrating the high regard in which his peers hold his research.

Technical Skills 💻

Dr. Upadhyay has developed a comprehensive set of technical skills that position him at the cutting edge of radiation oncology. His expertise spans advanced radiation therapy techniques such as stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), proton therapy, and image-guided brachytherapy. In addition, he is well-versed in cutting-edge technologies, including the use of artificial intelligence and machine learning in radiation oncology for treatment planning and quality assurance. His technical acumen is further demonstrated by his involvement in developing new approaches to enhance clinical outcomes for complex cancer cases.

Teaching Experience 📖

Dr. Upadhyay has dedicated substantial time to teaching and mentorship, sharing his expertise with medical students, residents, and fellow researchers. He has served as a moderator for educational webinars and a mentor for various research initiatives. His roles as a panelist and speaker at international conferences, such as the ASTRO Annual Meeting and the Ohio State University Cardio-Oncology Symposium, reflect his commitment to advancing education within the field of oncology. Through these initiatives, he has played a key role in shaping the future of radiation oncology education.

Legacy and Future Contributions 🔮

Dr. Upadhyay’s legacy in radiation oncology is already being established through his groundbreaking research and mentorship. His involvement in international clinical trials, such as the AVATAR system and the PRIMe-STAR trial, is likely to make a long-lasting impact on the clinical management of cancer patients globally. Looking forward, Dr. Upadhyay plans to continue advancing his research, particularly in the areas of stereotactic radiosurgery and precision medicine. His work promises to significantly shape the future of radiation oncology, particularly in improving treatment efficacy, minimizing side effects, and enhancing patient care across diverse populations.

 

Top Noted Publications 📖

Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas

Authors: Divya Yadav, Rituraj Upadhyay, Vinodh A. Kumar, Melissa M. Chen, Jason M. Johnson, Holly Langshaw, Brandon J. Curl, Maguy Farhat, Wasif Talpur, Thomas H. Beckham et al.

Journal: Practical Radiation Oncology

Year: 2024

Risk-Stratified Radiotherapy in Pediatric Cancer

Authors: Rituraj Upadhyay, Arnold C. Paulino

Journal: Cancers

Year: 2024

Disease Control and Toxicity Outcomes after Stereotactic Ablative Radiation Therapy for Recurrent and/or Metastatic Cancers in Young-Adult and Pediatric Patients

Authors: Rituraj Upadhyay, Brett Klamer, Jennifer Matsui, Vikram B. Chakravarthy, Thomas Scharschmidt, Nicholas Yeager, Bhuvana A. Setty, Timothy P. Cripe, Ryan D. Roberts, Jennifer H. Aldrink et al.

Journal: Cancers

Year: 2024

Quantifying the Risk and Dosimetric Variables of Symptomatic Brainstem Injury after Proton Beam Radiation in Pediatric Brain Tumors

Authors: Rituraj Upadhyay, Kaiping Liao, David R Grosshans, Susan L McGovern, Mary Frances McAleer, Wafik Zaky, Murali M Chintagumpala, Anita Mahajan, Debra Nana Yeboa, Arnold C Paulino

Journal: Neuro-Oncology

Year: 2022

Patterns of Failure after Radiation Therapy in Primary Spinal High-Grade Gliomas: A Single Institutional Analysis

Authors: Rituraj Upadhyay, Swapnil Khose, Halyna Pokhylevych, Arnold C Paulino, Mary Frances McAleer, Amol Ghia, Jing Li, Debra Nana Yeboa, Monica Loghin, Rebecca Harrison et al.

Journal: Neuro-Oncology Advances

Year: 2022

Neda Fayyazi | Bioinformatics | Excellence in Innovation

Published on by Research Data Analysis

Dr. Neda Fayyazi | Bioinformatics | Excellence in Innovation

ogen/ medical iincubator, Iran

 Author Profile 📚

Google Scholar

Early Academic Pursuits 🎓

Dr. Neda Fayyazi’s academic journey is marked by significant achievements, beginning with her Ph.D. in Pharmaceutical and Medicinal Chemistry from Isfahan University of Medical Sciences, which she completed between February 2015 and October 2019. Her outstanding academic performance earned her a top rank (A) with a GPA of 3.60. Dr. Fayyazi’s thesis, titled Molecular modeling, synthesis, and biological evaluation of hybrid multi-target iron chelators for anticancer and antimalarial applications, was highly regarded, securing an Excellent Rank (A). Her interdisciplinary focus on combining computational techniques and medicinal chemistry positions her as an emerging leader in the field.

Professional Endeavors 💼

Dr. Fayyazi’s professional experience spans academia and industry, with roles in pharmaceutical companies and research institutions. She has worked with leading organizations, including TPCO Holding, Pars Darou Pharmaceutical Company, and Barkat Holding. Her roles involved product development, technology transfer, and research in the areas of pharmaceutical formulations, softgel production, and drug discovery. As a board member of Ozhan Pharma Group and an active participant in various projects, Dr. Fayyazi continues to bridge the gap between scientific research and commercial application.

Contributions and Research Focus 🔬

Dr. Fayyazi’s research contributions are primarily in the field of Medicinal Chemistry, with a focus on drug design, molecular modeling, and hybrid molecule synthesis. Her work on molecular dynamics simulations and protein-ligand interactions using cutting-edge tools like Gromacs, GOLD, and Discovery Studio has been instrumental in advancing the understanding of drug interactions at the molecular level. Additionally, she is passionate about developing novel drug delivery systems, particularly in sustained-release formulations, and exploring natural products for therapeutic potential. Her research integrates AI and machine learning approaches in drug discovery, a testament to her forward-thinking methodology.

Impact and Influence 🌍

Dr. Fayyazi has had a significant impact on the pharmaceutical industry and academia through her work in drug discovery, technology transfer, and industry collaboration. Her expertise in bioassay-guided screening and cancer therapy research has led to breakthroughs in medicinal chemistry, especially in the development of multi-target anticancer agents. As a member of various prestigious associations such as the European Bioinformatics Association and the American Chemical Society, she has contributed to the global advancement of biotechnology and pharmaceutical sciences. Her work has garnered recognition, including a prize for innovative ideas in drug research at the Euro Chemistry Conference in Berlin (2019).

Academic Cites and Research Recognition 📑

Dr. Fayyazi’s academic publications and research outputs are highly cited in the fields of molecular modeling and pharmaceutical sciences. Her collaborations with research institutions and pharmaceutical companies have cemented her reputation as a thought leader in medicinal chemistry. Notably, her research on iron chelators and cancer treatment has positioned her as a pivotal figure in advancing drug discovery methodologies. Her work is frequently referenced in studies related to drug design, molecular dynamics, and natural product research.

Technical Skills and Expertise 🧑‍🔬

Dr. Fayyazi’s technical proficiency extends across a broad spectrum of advanced scientific methods and tools. She is highly skilled in QSAR (Quantitative Structure-Activity Relationship), molecular dynamics simulations, and protein-ligand interactions. Her ability to synthesize hybrid compounds, coupled with her expertise in computational chemistry and machine learning, allows her to investigate complex biochemical interactions and design novel therapeutic agents. Furthermore, her knowledge of Linux environments, scripting, and drug discovery processes in natural products underscores her broad technical competence.

Teaching Experience 📚

Dr. Fayyazi’s passion for teaching is evident in her role as an educator at Isfahan University of Medical Sciences, where she has taught undergraduate students in organic chemistry, pharmacology, and computational chemistry. She has also supervised and mentored numerous master’s and Ph.D. students in the fields of medicinal chemistry and bioassays. Her teaching methods emphasize interdisciplinary approaches, integrating cutting-edge technology and scientific research into practical applications.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Fayyazi’s future contributions are poised to continue shaping the pharmaceutical and biotechnology sectors. Her ongoing projects in controlled release formulations, softgel technology transfer, and sustained-release drug delivery systems demonstrate her commitment to improving patient outcomes through innovative therapeutic solutions. As she works to bridge the gap between academic research and industry applications, Dr. Fayyazi aims to inspire the next generation of scientists and continue her impactful work in drug design and natural product research.

Honor and Awards 🏆

Dr. Fayyazi’s career has been punctuated with numerous accolades, including the Best Score in the National Entrance Exam for Pharmaceutical Projects in 2001, the Productivity Management Prize at Soha Pharmaceutical Company (2010), and the prestigious PhD Scholarship for Medicinal Chemistry at Isfahan University. These awards reflect her unwavering dedication to excellence and innovation in both academic and industrial settings.

 

Top Noted Publications 📖

Molecular dynamics simulation and 3D-pharmacophore analysis of new quinoline-based analogues with dual potential against EGFR and VEGFR-2
    • Authors: N. Fayyazi, A. Fassihi, S. Esmaeili, S. Taheri, J.B. Ghasemi, L. Saghaie
    • Journal: International Journal of Biological Macromolecules
    • Year: 2020
Pharmacophore modeling, synthesis, scaffold hopping and biological β-Hematin inhibition interaction studies for anti-malaria compounds
    • Authors: N. Fayyazi, S. Esmaeili, S. Taheri, F.F. Ribeiro, M.T. Scotti, L. Scotti, …
    • Journal: Current Topics in Medicinal Chemistry
    • Year: 2019
Molecular dynamics simulation, 3D-pharmacophore and scaffold hopping analysis in the design of multi-target drugs to inhibit potential targets of COVID-19
    • Authors: N. Fayyazi, T. Mostashari-Rad, J.B. Ghasemi, M.M. Ardakani, F. Kobarfard
    • Journal: Journal of Biomolecular Structure and Dynamics
    • Year: 2022
Design, synthesis, in silico studies, and antiproliferative evaluations of novel indolin-2-one derivatives containing 3-hydroxy-4-pyridinone fragment
    • Authors: P. Shirvani, N. Fayyazi, S. Van Belle, Z. Debyser, F. Christ, L. Saghaie, …
    • Journal: Bioorganic & Medicinal Chemistry Letters
    • Year: 2022
Phytochemical analysis and purification of chief components of Ononis spinosa
    • Authors: N. Fayyazi, F. Naghibi, S. Taheri
    • Journal: N/A
    • Year: 2014
A new insight into the mechanism of loading of Granisetron, Naltrexone and Risperidone in poly (ortho ester) and poly (lactic-co-glycolic acid) as the controlled release drug
    • Authors: L. Karami, N. Fayyazi, M. Akbari, A. Molaei-Baghbanan, M. Maaza
    • Journal: Journal of Drug Delivery Science and Technology
    • Year: 2024