Abdelaziz Darwiesh – risk management Award  – Best Researcher

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Mr. Abdelaziz Darwiesh - risk management Award  - Best Researcher 

Mathematics Department, Faculty of Science - Egypt

Author Profile

Early Academic Pursuits

Mr. Abdelaziz Darwiesh's academic journey commenced with a Bachelor of Science in Pure Mathematics & Computer Science from Al-Azhar University, Nasr City, Egypt, where he graduated with honors in 2012. Building upon this foundation, he pursued a Master of Science in Statistics & Computer Science at Damietta University, Egypt, from 2017 to 2019. His master's thesis focused on modeling and providing explicit solutions for computer-based storage systems. This early academic pursuit laid the groundwork for his subsequent endeavors in academia and research.

Professional Endeavors

Throughout his career, Mr. Darwiesh has held various teaching and research positions, contributing significantly to the fields of data science and computer science. From 2019 to 2020, he served as an Assistant Lecturer at Delta Higher Institute for Computers, where he imparted knowledge on topics such as Data Structure with C# and Preparing Reports using Computer Applications. Simultaneously, he worked as an Instructor at IBI Institute for Survey and Information Systems, teaching courses on Web Design, Excel, and Windows.

Mr. Darwiesh's dedication to academia is evident from his current role as a part-time Assistant Lecturer at Damietta University, where he teaches a diverse range of courses including Information Security, Machine Learning, and Artificial Intelligence. Additionally, he is actively involved in research, focusing on areas such as natural language processing, social media analysis, and risk management.

Contributions and Research Focus

Mr. Darwiesh's research interests center around the utilization of natural language processing techniques for risk management based on social media user perceptions. His current research endeavors include exploring innovative approaches to identify, assess, and control risks using big data analysis from social media platforms. This interdisciplinary approach bridges the gap between computer science and social sciences, offering valuable insights for businesses and organizations.

Accolades and Recognition

Mr. Darwiesh's contributions to academia and research have garnered significant recognition both nationally and internationally. Notable accolades include the Best Paper Award at the 8th International Conference On Business Intelligence in Turkey (2023) and the Best Master Thesis Award from the Egyptian Mathematical Society (2022). His commitment to excellence and scholarly achievements have earned him the International Distinguished Student Award from Natural Science Publishing, USA (2021), further affirming his standing as a prominent figure in the field of data science.

Impact and Influence

Mr. Darwiesh's research outputs, including published papers and conference presentations, have contributed to advancing knowledge in areas such as intelligent risk management systems, business intelligence, and artificial intelligence. His work has been published in reputable journals and presented at prestigious conferences, garnering attention from peers and scholars globally. Furthermore, his role as the Chair of the NLP Track at the 4th Annual International Competition in Data Science & Artificial Intelligence underscores his leadership and influence within the academic community.

Legacy and Future Contributions

Mr. Darwiesh's legacy lies in his dedication to education, research, and community engagement. As the Founder and CEO of Egyptian Data Scholars, he has initiated initiatives aimed at nurturing the next generation of data scientists and promoting scientific research in Egypt. Through his leadership roles and professional activities, he continues to inspire and empower aspiring researchers and scholars. Looking ahead, Darwiesh remains committed to pushing the boundaries of knowledge in data science and making meaningful contributions to academia and society at large.

Notable Publication

 

 

Umair Jalil Malik – Application of ML in Civil Engineering – Young Scientist Award 

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Mr. Umair Jalil Malik - Application of ML in Civil Engineering - Young Scientist Award 

National University of Sciences & Technology - Pakistan

Author Profile

Early Academic Pursuits

Mr. Umair Jalil Malik embarked on his academic journey with a Bachelor of Science in Civil Engineering from the prestigious National University of Science and Technology (NUST), Islamabad, Pakistan. During his undergraduate years from September 2019 to June 2023, he demonstrated exceptional aptitude in structural engineering, majoring in Structural Engineering, and maintained an outstanding CGPA of 3.81/4.00. His academic pursuits were characterized by a keen interest in innovative and sustainable concrete technology, evidenced by his thesis titled "Evaluation of Effective Stiffness of High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite at the Material Level, cross-section Level, and Structural Level."

Professional Endeavors

Mr. Umair's professional journey reflects a commitment to excellence and a passion for research and development in civil engineering. He engaged in various roles, including his current position as a Laboratory Engineer at NUST, Pakistan, where he delivers lectures, advises students, and manages lab operations. His tenure as a Junior Engineer at INN Consulting Engineers and a Research Assistant under the supervision of Dr. Rao Arsalan Khushnood showcased his versatility and capacity for in-depth research, data analysis, and project documentation.

Contributions and Research Focus

Mr. Umair's research interests span a wide array of topics crucial to advancing civil engineering practices. Notably, his research articles and publications demonstrate a focus on cutting-edge areas such as High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite (ECC), Engineering Geopolymer Composite (EGC), innovative and sustainable concrete technology including 3D Printed Concrete, Micro-Mechanical Modeling, and applications of Machine Learning in civil engineering. His contributions to journals and ongoing research projects underscore his dedication to advancing knowledge and technology in these critical domains.

Accolades and Recognition

Mr. Umair's academic and professional achievements have been recognized through various honors and awards. He secured the 5th position in the National Competition on Design of long-span buildings organized by NED UET Karachi, Pakistan, showcasing his prowess in structural design and seismic evaluation. Additionally, his consistent academic performance earned him multiple merit-based scholarships at NUST. Furthermore, he received research funding for his Final Year Project from Prime Engineering & Testing Consultants, further validating the significance of his work in the industry.

Impact and Influence

Mr. Umair's contributions extend beyond academic and professional realms, as evidenced by his active involvement in volunteer experiences and leadership roles within various societies and organizations. His commitment to social responsibility, evident through initiatives such as providing education to street children and organizing donation drives, highlights his holistic approach to making a positive impact on society.

Legacy and Future Contributions

Looking ahead, Umair is poised to continue making significant contributions to the field of civil engineering. His diverse skill set, encompassing technical expertise, research acumen, and leadership abilities, positions him as a catalyst for innovation and progress in the industry. Through ongoing research endeavors, collaborative projects, and mentorship roles, Umair is set to leave a lasting legacy in advancing sustainable infrastructure development, seismic resilience, and cutting-edge construction technologies, thereby shaping the future landscape of civil engineering both locally and globally.

Notable Publication

 

Amirhosein Bodaghi – Predictive Analysis – Best Researcher Award

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Dr. Amirhosein Bodaghi - Predictive Analysis - Best Researcher Award

University of Ulster, Belfast UK

Author Profiles

Dr. Amirhosein Bodaghi

Early Academic Pursuits

Dr. Amirhosein Bodaghi obtained his Ph.D. in Information Technology Engineering from the University of Tehran, where he focused on modeling rumor spreading on online social networks. His doctoral research, enriched by a visiting period at the Federal University of Rio de Janeiro, explored how human behavior and dissenting opinions influence the dynamics of digital communication. This phase laid the groundwork for his enduring interest in computational social science and the intersection of technology, networks, and human behavior.

Professional Endeavors

Dr. Bodaghi currently works in a research and teaching role at Ulster University, Belfast, UK, contributing to data-driven innovations in predictive analytics and social computing.
He previously completed postdoctoral fellowships at the City University of Hong Kong—ranked among the world’s top 70 universities—and at the Federal University of Rio de Janeiro, Brazil’s leading research institution.

Earlier in his career, he served as an official delegate of the Asia-Pacific Telecommunity (APT) at the International Telecommunication Union (ITU), where he contributed to global ICT initiatives in cybersecurity, e-accessibility, and e-commerce. His professional trajectory reflects a unique blend of academic rigor and international collaboration.

Contributions and Research Focus on Predictive Analysis

Dr. Bodaghi’s research lies at the intersection of big data analysis, complex networks, and computational social science. His studies investigate the mechanisms of information diffusion, fake news propagation, and semantic dynamics on large-scale social networks such as Twitter and Instagram.

Recent works include pioneering methods for financial anomaly prediction and election forecasting through the semantic analysis of news flows. His publications have appeared in top-tier journals, including Computer Communications, Expert Systems with Applications, Decision Analytics Journal, Journal of Computational Social Science, and Social Network Analysis and Mining.

Accolades and Recognition

With an h-index of 8, Dr. Bodaghi has authored and co-authored papers in highly ranked Q1 and Q2 journals and presented at international conferences such as UCAmI 2024 (Belfast) and Computer Networks, Big Data and IoT 2022 (India).
He holds the title of Associate Fellow of the Higher Education Academy (AFHEA) in the United Kingdom and has secured research funding for FinTech projects in the Hong Kong Science Park.

Impact and Influence

Dr. Bodaghi’s interdisciplinary work bridges data science, artificial intelligence, and social behavior modeling. His insights into online information dynamics contribute to combating misinformation, enhancing financial forecasting systems, and improving algorithmic transparency. His research offers valuable guidance for policymakers, technology companies, and academic communities navigating the challenges of the digital information era.

Legacy and Future Contributions

Continuing his research at Ulster University, Dr. Bodaghi aims to expand predictive modeling frameworks that integrate semantic networks and AI-driven decision systems. His work remains instrumental in advancing computational methods that decode the complexity of social interactions in digital spaces.

Citations

Citations: 300

h-index: 8

i10-index: 8

Notable Publications

Financial Anomaly Prediction by Using Semantic Space of News Flow on Twitter, Decision Analytics Journal, 2024.

A Big Data Analysis of the Adoption of Quoting Encouragement Policy in Twitter during the 2020 U.S. Presidential Election, Journal of Computational Social Science, 2024.

The Theater of Fake News Spreading: Who Plays Which Role? A Study on Real Graphs of Spreading on Twitter, Expert Systems with Applications, 2022.

The Characteristics of Rumor Spreaders on Twitter: A Quantitative Analysis on Real Data, Computer Communications, 2020.

A Longitudinal Analysis on Instagram Characteristics of Olympic Champions, Social Network Analysis and Mining, 2022.

The Rumor Categorizer: An Open-Source Software for Analyzing Rumor Posts on Twitter, Software Impacts, 2022.

Chi-Jung Chung – Environmental Epidemiology – Best Researcher Award 

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Prof Chi-Jung Chung - Environmental Epidemiology - Best Researcher Award 

China Medical University - Taiwan 

Author Profile

Early Academic Pursuits

Prof. Chi-Jung Chung embarked on his academic journey at Taipei Medical University, where he pursued a Ph.D. in Committee on Public Health from 2005 to 2009. This foundational phase of his education equipped him with the expertise and research methodologies that would later become instrumental in his distinguished career in public health.

Professional Endeavors

Over the years, Prof. Chung has held several key positions at China Medical University in Taichung, Taiwan. Starting as an Assistant Professor in the Department of Health Risk Assessment in February 2011, he steadily climbed the academic ladder. By August 2019, he had risen to the position of Associate Professor in the Department of Public Health. His current roles include Professor in the Department of Public Health and Adjunct Principle Investigator in the Department of Medical Research at China Medical University Hospital.

Contributions and Research Focus

Prof. Chung's research primarily centers on the intricate relationship between environmental factors, such as heavy metal exposure and air pollution, and their impact on human health. His groundbreaking studies have explored the associations between metal exposure and diseases like urothelial carcinoma and Alzheimer's disease. Utilizing methodologies such as high-sensitivity inductively coupled plasma-mass spectrometry and advanced statistical analyses like generalized weighted quantile regression, he has made significant contributions to the fields of cancer epidemiology and molecular epidemiology. Furthermore, Dr. Chung has delved into machine learning and predictive model construction, reflecting his commitment to leveraging innovative technologies in public health research.

Accolades and Recognition

Although specific accolades and awards are not listed in the provided information, Prof. Chung's extensive publication record and academic advancements speak volumes about his contributions to the field. His research has been published in reputable journals such as the American Journal of Geriatric Psychiatry, JAMA Network Open, and Genome Biology, among others. These publications underscore his recognition as a leading expert in environmental health risk assessment and epidemiology.

Impact and Influence

Prof. Chung's research findings have had a profound impact on public health policies and practices, particularly in Taiwan. By identifying the health risks associated with environmental metal exposure and air pollution, he has provided invaluable insights that inform regulatory measures and public awareness campaigns. Moreover, his interdisciplinary collaborations and development of a cloud-based automated statistical analysis platform signify his influence in fostering innovation within the healthcare research landscape.

Legacy and Future Contributions

As a prominent figure in the realm of environmental health risk assessment, Prof. Chung's legacy is characterized by his relentless pursuit of knowledge and dedication to improving public health outcomes. His research has laid the groundwork for future investigations into the complex interplay between environmental factors and human health. Looking ahead, Dr. Chung's commitment to raising awareness about environmental pollution issues and advocating for sustainable practices positions him as a pivotal figure in shaping policies and initiatives that prioritize public health and environmental stewardship.

In summary, Prof. Chi-Jung Chung's illustrious career is marked by significant contributions to public health research, particularly in the areas of heavy metals health risk assessment, air pollution, and molecular epidemiology. His academic achievements, research endeavors, and commitment to fostering interdisciplinary collaborations underscore his impact and influence in the field, setting a precedent for future generations of researchers and practitioners alike.

Notable Publication 

 

Zhe YUAN | Best Researcher Award | Data-informed Decision Making

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YUAN - Pôle universitaire Léonard de Vinci - Data-informed Decision Making🏆

Dr Zhe YUAN : Data-informed Decision Making

Professional profile:

Early Academic Pursuits

Zhe Yuan's academic journey began with a Bachelor's degree in E-commerce from the Management School of Information System, Hubei University of Economics, China, in 2013. This foundational education was followed by an MSc in Logistics Engineering from Huazhong University of Science & Technology, China, in 2015. His pursuit of knowledge culminated in a PhD in Industrial Engineering from Centrale Supelec, University of Paris Saclay, France, in 2019. His early academic pursuits laid the groundwork for a career focused on industrial engineering, logistics, and e-commerce.

Professional Endeavors

Post his academic achievements, Zhe Yuan has made significant strides in academia and research. Since 2019, he has served as a Professor-Researcher at EMLV, Paris la Defense, France. Concurrently, he has been actively involved in multiple research projects, notably partnering with esteemed organizations such as the National Natural Science Foundation of China. His role as a Project Coordinator for Erasmus+ Agency projects since 2019 further underscores his commitment to academic and research excellence.

Contributions and Research Focus

Zhe Yuan's research interests are vast and highly relevant in today's digital age. His primary areas of focus encompass Smart Services, AI, Big Data, E-commerce, Optimization, and Sustainable Information Systems. His scholarly contributions include numerous peer-reviewed articles published in renowned journals such as the International Journal of Production Economics, Regional Studies, and IEEE Transactions On Engineering Management. Additionally, he has actively participated in conferences worldwide, presenting his research findings and contributing to academic discourse.

Accolades and Recognition

Throughout his academic and professional journey, Zhe Yuan has garnered recognition for his exemplary work. His research projects have received substantial funding, including grants from the National Natural Science Foundation of China. His publications in esteemed journals and his active participation in academic committees highlight his stature in the academic community. Furthermore, his role as a reviewer for prestigious journals like the International Journal of Production Research and Energy Economics underscores his expertise and contributions to the field.

Impact and Influence

Zhe Yuan's research and pedagogical activities have had a profound impact on the fields of Industrial Engineering, Logistics, and E-commerce. His research on AI, Big Data, and Optimization has paved the way for innovative solutions in Smart Services and Sustainable Information Systems. Moreover, his teaching endeavors, supervising master's theses, and guiding Ph.D. students have shaped the next generation of scholars and professionals in these domains.

Legacy and Future Contributions

As a distinguished Professor-Researcher, Zhe Yuan's legacy is characterized by his relentless pursuit of knowledge, commitment to excellence, and impactful contributions to academia and research. His research focus on Smart Services, AI, and E-commerce continues to be highly relevant, given the evolving technological landscape. Moving forward, he is poised to further expand his research horizons, mentor budding scholars, and contribute significantly to addressing contemporary challenges in Industrial Engineering and related fields.

In summary, Zhe Yuan's early academic pursuits, professional endeavors, groundbreaking research, accolades, and future contributions collectively underscore his prominence in Industrial Engineering, Logistics, and E-commerce. His legacy as a visionary scholar and educator will undoubtedly inspire generations to come.

Notable Publication:

Tayfun Sengul | Best Researcher Award | Data-informed Decision Making

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 Tayfun Sengul - Kutahya Dumlupinar University - Data-informed Decision Making🏆

Assist Prof Dr Tayfun Sengul : Data-informed Decision Making

Professional profile:

Early Academic Pursuits:

Tayfun Şengül began his academic journey at Dumlupınar University, Kutahya, where he completed his Bachelor of Science in Civil Engineering between 1995 and 2000. Following this, he pursued his Master of Science in Geotechnical Engineering from 2000 to 2003 at the same university, focusing on the geotechnical properties of clays contaminated by heavy metals and salts. His dedication to the field led him to Yildiz Technical University, Istanbul, where he earned his Ph.D. in Geotechnics from 2004 to 2010. His doctoral research was centered on the improvement of soft soils by utilizing prefabricated vertical drains.

Professional Endeavors:

Over the years, Tayfun has gathered significant professional experience both nationally and internationally. He has served as a Visiting Scholar at Syracuse University, New York, on multiple occasions between 2008 and 2015. Furthermore, he has held various roles at Dumlupınar University, Kutahya, including Assistant Professor and Research and Teaching Assistant. Additionally, he enriched his academic portfolio with roles at Yildiz Technical University and the University of Wisconsin-Madison, where he also engaged in research and teaching.

Contributions and Research Focus:

Tayfun Şengül's research primarily revolves around soil mechanics, foundation engineering, and experimental soil mechanics. His publications span a range of topics, including the effects of stabilization on highway clay soils, factors affecting efficiency in flocculation, and the investigation of liquefaction potential using Geographical Information Systems. Tayfun has been instrumental in various scientific research projects, such as the stabilization of clayey soils with waste marble powder and investigating the use of geotextile tubes for industrial waste storage.

Accolades and Recognition:

While Tayfun Şengül's detailed accolades aren't explicitly mentioned in the provided content, his extensive list of publications, research projects, and affiliations with prestigious institutions like Syracuse University and the University of Wisconsin-Madison speaks volumes about his recognition and contributions to the field of geotechnical engineering.

Impact and Influence:

Tayfun's contributions have significantly impacted the field of geotechnical engineering, particularly in soil mechanics, foundation engineering, and environmental geotechnics. His research has provided valuable insights into soil stabilization methods, dewatering behavior, and the use of innovative materials like fly ash and geotextile tubes. By disseminating his findings through conferences, journals, and academic collaborations, he has fostered knowledge exchange and advancements in geotechnical practices globally.

Legacy and Future Contributions:

As an established figure in geotechnical engineering, Tayfun Şengül's legacy is marked by his comprehensive research, academic endeavors, and professional engagements. His commitment to advancing soil mechanics and foundation engineering is evident through his extensive publications, projects, and lectures. Looking ahead, Tayfun is poised to continue his research, mentor future geotechnical engineers, and contribute further to sustainable and innovative solutions in the realm of soil mechanics and foundation engineering.

By synthesizing his early academic pursuits, professional endeavors, contributions and research focus, accolades and recognition, impact and influence, and legacy and future contributions, Tayfun Şengül emerges as a prominent figure in geotechnical engineering with a profound commitment to advancing the field through research, education, and innovation.

Notable Publication:

Investigating the effects of stabilization carried out using fly ash and polypropylene fiber on the properties of highway clay soils Construction and Building Materials, 2023, 400, 132590

Laboratory determination of smear and transition zones due to prefabricated vertical drain installation Marine Georesources and Geotechnology, 2017, 35(7), pp. 895–904

Effect of polymer and fiber usage on dewatering and compressibility behavior of fly ash slurries Marine Georesources and Geotechnology, 2017, 35(5), pp. 678–687

Dewatering performance of fiber-reinforced fly ash slurry Geotechnical Special Publication, 2014, (243 GSP), pp. 98–107

Determination of a wall performance in multi-layered soil conditions - A case study Geotechnical Special Publication, 2014, (242 GSP), pp. 954–964

Citations:

A total of 27 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :27
  • h-index         :6
  • Documents  :3

 

Mriganka Mandal | Cryptography and Network Security | Best Researcher Award

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Assist Prof Dr Mriganka Mandal | Indian Institute of Technology (IIT) Jodhpur - Cryptography and Network Security

Assist Prof Dr Mriganka Mandal : Cryptography and Network Security

Professional profile:

Early Academic Pursuits:

Dr. Mriganka Mandal began his academic journey with a Bachelor's degree in Mathematics from the University of Calcutta, where he excelled with a strong foundation in the subject. Subsequently, he pursued a Master's degree in Pure Mathematics, delving into cryptographic lattices and exploring various hardness problems.

Professional Endeavors:

Dr. Mandal's professional journey encompasses diverse experiences across different countries and prestigious institutions. Notably, he completed his Ph.D. in Cryptography and Network Security from the Indian Institute of Technology (IIT), Kharagpur, under the guidance of Prof. Ratna Dutta. His doctoral research focused on the design and analysis of secure and efficient broadcast encryption protocols.

Contributions and Research Focus:

Dr. Mandal's contributions to the field of Theoretical Computer Science, specifically in Cryptography and Network Security, are significant. His research interests span a wide range of topics, including Broadcast Encryption, Attribute-Based Encryption, Functional Encryption, and Multivariate Public-Key Cryptosystems. He has actively engaged in postdoctoral research, contributing to the development of quantum-safe encryption for cloud computing and IoT, among other cutting-edge topics.

Accolades and Recognition:

His academic achievements include securing Junior and Senior Research Fellowships, the Rajiv Gandhi National Fellowship, and qualifying for the Joint CSIR-UGC National Eligibility Test. These recognitions underscore his comprehensive understanding of Mathematical Science.

Impact and Influence:

Dr. Mandal's work has had a global impact, demonstrated by his collaborations with institutions in Taiwan and Japan. His research projects, focusing on quantum-safe encryption and post-quantum security, highlight his commitment to advancing the field in response to emerging challenges.

Legacy and Future Contributions:

As an Assistant Professor at the Indian Institute of Technology (IIT) Jodhpur, Dr. Mandal continues to make significant contributions. His current research involves designing quantum attribute-based encryption, constructing lattice-based multi-signatures, and developing post-quantum secure functional encryption protocols. Additionally, his role as a course instructor and involvement in various administrative roles showcase his commitment to academic excellence and institution building.

Future Endeavors:

Dr. Mandal's ongoing and proposed research projects, such as the study of quantum attacks on attribute-based encryption and the construction of quantum-safe attribute-based encryption protocols, highlight his dedication to staying at the forefront of advancements in the field. His role in mentoring Ph.D., M.Sc., and M.Tech. students underscores his commitment to shaping the next generation of researchers and professionals in Theoretical Computer Science.

Notable Publications: