Haixia Cui | Wireless Communication networks | Best Researcher Award

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Prof. Haixia Cui | Wireless Communication networks | Best Researcher Award

South China Normal University | China

PUBLICATION PROFILE

Scopus

🎓 EARLY ACADEMIC PURSUITS

Prof. Haixia Cui embarked on her academic journey in Electrical Engineering, earning her Bachelor of Science from China University of Petroleum (East China) in 2002. She then pursued her passion for communication technologies through graduate studies at South China University of Technology, where she obtained both her Master’s (2005) and Ph.D. (2011) in Communication and Information Systems. Her doctoral research, supervised by Prof. Gang Wei, focused on critical aspects of wireless sensor and ad hoc networks, laying the groundwork for her future research endeavors. Between 2014 and 2015, she expanded her academic horizon as a visiting scholar at The University of British Columbia, working under the mentorship of the renowned Prof. Victor Leung.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Prof. Cui’s academic career has been marked by steady advancement and recognition. She began as a Lecturer at Guangzhou University (2005–2011), where she honed her teaching and research skills. In 2011, she joined South China Normal University in Guangzhou as an Associate Professor, and by 2019, she was promoted to Professor. Her early professional experience also includes time as a communications engineer at China Telecom Co. Ltd.’s Guangzhou Research Institute, where she worked from 2004 to 2005. This industry exposure enriched her practical understanding of communication systems and enhanced her academic insights.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Cui’s research lies at the intersection of theory and application in wireless communication. Her interests encompass cooperative communication, access control protocols, quality of service (QoS), and power control within wireless sensor and ad hoc networks. Her work addresses both the efficiency and security of modern communication systems, contributing to the development of more reliable and scalable wireless infrastructures. Through numerous projects and publications, she has advanced knowledge in areas vital for emerging technologies such as the Internet of Things (IoT) and smart city infrastructure.

🌍 IMPACT AND INFLUENCE

Prof. Cui has significantly influenced the academic and scientific communities in wireless communication. Her research has been widely cited, especially in topics related to network protocol design and energy efficiency in wireless networks. Her collaborations with international scholars and institutions, including her work with Prof. Victor Leung in Canada, have elevated her profile on the global stage. She also plays a mentoring role, guiding graduate students and junior researchers in navigating the complexities of wireless systems.

📚 ACADEMIC CITES

Her scholarly work is referenced in key journals and conferences, contributing to both theoretical advances and practical implementations. Although a specific citation count is not provided here, her research continues to gain traction among peers and institutions focusing on next-generation wireless networks, security protocols, and smart communication architectures.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

As a respected figure in her field, Prof. Cui is poised to continue shaping the future of communication technologies. Her legacy lies not only in her academic contributions but also in her commitment to nurturing talent and fostering innovation. Looking forward, she is expected to play a pivotal role in integrating AI and machine learning into wireless network protocols and enhancing cross-layer design approaches for better performance and adaptability in dynamic environments.

 📚 TOP NOTES PUBLICATIONS

Title: Computation Offloading Optimization for UAV-Based Cloud-Edge Collaborative Task Scheduling Strategy

    • Authors: Haosheng Chen, Haixia Cui, Jiahuan Wang, Yejun He, Mohsen Mokhtar Guizan

    • Journal: IEEE Transactions on Cognitive Communications and Networking

    • Year: 2025

Title: Joint UAV Trajectory Optimization and Task Offloading in Integrated Air-Ground Networks

    • Authors: Yuanwei Zhang, Jiaqi Shuai, Weichang Wen, Haixia Cui

    • Type: Conference Paper

    • Year: Not explicitly listed, but assumed to be 2025 (same batch)

Title: Computation Offloading and Resource Allocation in LEO Satellite-Terrestrial Integrated Networks With System State Delay

    • Authors: Bo Xie, Haixia Cui, Ivan W.H. Ho, Yejun He, Mohsen Mokhtar Guizan

    • Journal: IEEE Transactions on Mobile Computing

    • Year: 2025

Title: Deep Reinforcement Learning-Based Dynamical Task Offloading for Mobile Edge Computing

    • Authors: Bo Xie, Haixia Cui

    • Journal: Journal of Supercomputing

    • Year: 2025

Title: Dynamic Service Caching Aided Computation Offloading Optimization Algorithm for Mobile Edge Networks

    • Authors: Bo Xie, Jinhua Xie, Haixia Cui, Yejun He, Mohsen Mokhtar Guizan

    • Journal: IEEE Internet of Things Journal

    • Year: 2025

Diem Tran | ECG processing | Best Researcher Award

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Dr. Diem Tran | ECG processing | Best Researcher Award

VietNam National University | Vietnam

PUBLICATION PROFILE

Orcid

📘 INTRODUCTION

Dr. Diem Tran is a distinguished academic and professional in the fields of electronics, telecommunications, and computing systems, with over 15 years of experience. Her journey is marked by a solid foundation in science and engineering, coupled with significant achievements in education, industry, and applied research. From developing Vietnam’s first IC to contributing to neural network research in Japan, Dr. Tran has carved a unique space for herself as both a mentor and an innovator.

🎓 EARLY ACADEMIC PURSUITS

Dr. Tran began her academic path at Vietnam National University – University of Natural Sciences, where she studied Electronics Physics from 2002 to 2006. She maintained a GPA of 7.61 and secured an impressive thesis score of 9.5/10, ranking 3rd out of 50 students. Her thirst for deeper knowledge led her to pursue a Master’s degree in Electronics and Telecommunications, graduating with a GPA of 7.65 and topping her class. Furthering her interdisciplinary interests, she also completed finance and banking courses in 2014, adding a layer of business understanding to her technical expertise.

💼 PROFESSIONAL ENDEAVORS

Dr. Tran’s career began as a lecturer at the University of Science, Vietnam, where she served from 2006 to 2019. Her teaching responsibilities included subjects such as C language, Data Structures, Algorithms, Computer Architecture Lab, and VLSI. Her passion for guiding students in their thesis work also marked her tenure. She expanded her technical horizons as a consultant at VSMC, contributing to synthesis design and IC layout, and later joined Esilicon, where she played a key role in ASIC flow development, using tools like VCS, PrimeTime, and ICC. Since 2014, she has also managed an online sales business, handling logistics and staff while distributing pet housing products across Ho Chi Minh City.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Tran’s technical contributions are extensive, particularly in IC design and neural network implementation. At VSMC, she helped design and physically implement Vietnam’s first digital power management controller, VS8881A. At Esilicon, she worked on ALU architecture, timing delay analysis with Nanotime, and floor planning for RAM-based layouts. During her PhD at NAIST in Japan, her research pivoted to AI and neural networks, where she explored PCA, ANN, CNN, and SNN models. She implemented these systems using Python, Pytorch, TensorFlow, and deployed solutions on FPGA platforms, integrating software and hardware through tools like Vivado_HLS.

🌐 IMPACT AND INFLUENCE

Throughout her career, Dr. Tran has impacted both academia and industry in Vietnam and abroad. Her work in IC development laid foundational stones in the country’s semiconductor industry. As an educator, she influenced generations of students, instilling both theoretical depth and practical knowledge. Her transition into AI and FPGA platforms positions her as a bridge between classical electronics and modern machine learning applications, inspiring cross-disciplinary innovation.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Tran’s doctoral research culminated in several publications that gained international recognition. Her work was awarded Best Paper at the 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing in 2020, and she received the Best Student Paper Award at the 4th Conference on Computing, Electronics & Communications Engineering in 2021. These recognitions highlight the global relevance and rigor of her work.

🏆 HONORS & AWARDS

Over the years, Dr. Tran has earned multiple prestigious awards. These include a High Speed PCB Design Certificate in 2005, recognition at the VEF Summer Seminar in 2008, and the Toshiba Scholarship in Japan the same year. Her academic excellence was further acknowledged through a NAIST scholarship from 2019 to 2022. The accolades she received at international conferences reflect her active engagement in the research community and her ability to deliver impactful work.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Tran’s legacy is reflected in the success of her students, the innovation she brought to semiconductor design in Vietnam, and her cross-disciplinary work in AI and image processing. As she looks to the future, she is well-positioned to lead initiatives at the intersection of AI, hardware acceleration, and education. Her plans may involve mentoring, research leadership, or launching tech-driven startups, all aimed at uplifting the next wave of tech talent.

📝 FINAL NOTE

Dr. Diem Tran exemplifies what it means to be a lifelong learner, passionate educator, and forward-thinking engineer. Her journey from classroom teaching to advanced chip design and AI research demonstrates a rare combination of adaptability and vision. Her story inspires not only those in STEM but anyone aiming to leave a meaningful legacy in both local and global communities.

 📚 TOP NOTES PUBLICATIONS

MINA: A Hardware-Efficient and Flexible Mini-InceptionNet Accelerator for ECG Classification in Wearable Devices

    • Authors: Hoai Luan Pham, Thi Diem Tran, Vu Trung Duong Le, Yasuhiko Nakashima

    • Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

    • Year: 2025

    • DOI: 10.1109/TCSI.2025.3553837

Training SNNs Low Latency Utilizing Batch Normalization Through Time and Iterative Initialization Retraining

    • Authors: Thi Diem Tran, Huu Han Hoang

    • Conference: International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

    • Year: 2023

    • DOI: 10.1109/ICAIIC57133.2023.10067096

    • WOSUID: WOS:001012997600047

A Novel Approach for Long ECG Synthesis Utilize Diffusion Probabilistic Model

    • Authors: Diem Thi Tran, Quoc Ngoc Tran, Thi Thu Khiet Dang, Dat Hoang Tran

    • Conference: 2023

    • DOI: 10.1145/3591569.3591621

Self-Adaptive Threshold Clustering in Abnormal Cardiac Beat Detection on Lightweight Embedded Devices

    • Authors: Thi Diem Tran, Ngoc Quoc Tran, Thi Thu Khiet Dang, An Dong Bui

    • Conference: 2022 IEEE 8th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

    • Year: 2022

    • DOI: 10.1109/icsima55652.2022.9929228

SLIT: An Energy-Efficient Reconfigurable Hardware Architecture for Deep Convolutional Neural Networks

Valentin Menoury | Agriculture science | Young Scientist Award

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Mr. Valentin Menoury | Agriculture science | Young Scientist Award

National Research Institute for Agriculture, Food and Environment (INRAE) | France

PUBLICATION PROFILE

Orcid

🎓 EARLY ACADEMIC PURSUITS

Mr. Valentin Laurent Sylvain Menoury embarked on his academic journey with a strong foundation in agricultural sciences. He graduated as an Agricultural Engineer from ESA (École Supérieure d’Agricultures) in Angers, France. Building on this foundation, he pursued a Master of Science in Animal Nutrition and Metabolism at Wageningen University and Research (WUR), The Netherlands, where he graduated with cum laude distinction. His early academic focus demonstrated a deep interest in sustainable animal nutrition and the intersection between feed processing and animal health.

👨‍🔬 PROFESSIONAL ENDEAVORS

Currently, Mr. Menoury is a PhD student at UMR Herbivores, INRAE – the French National Research Institute for Agriculture, Food and Environment. His research tackles a crucial challenge in feed sustainability: replacing hexane, a toxic and petroleum-based solvent used in oilseed processing, with 2-methyloxolane, a more sustainable, biobased alternative. This aligns with global goals for greener and safer food systems. In parallel, he has engaged in one industry consultancy project and has co-authored one journal article indexed in SCI/Scopus.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Valentin’s primary research assesses the nutritional value of 2-methyloxolane-defatted oilseed meals in dairy cow diets and evaluates their impact on milk quality. His work is pioneering in that it is the first study to report n-hexane residues in milk from cows fed with hexane-defatted soybean meal. Additionally, his application of equivalence testing in livestock feeding trials marks a methodological breakthrough. Until now, most studies relied on non-significant results from traditional difference testing. His collaboration with statisticians from WUR underlines his interdisciplinary approach and dedication to improving research standards in animal science.

🌍 IMPACT AND INFLUENCE

By addressing both environmental and food safety concerns, Mr. Menoury’s work contributes significantly to the modernization of feed processing practices. His research paves the way for broader adoption of biobased solvents and more statistically robust evaluation techniques. The implications of his study stretch beyond dairy science, influencing policy, feed manufacturing, and consumer health. His findings are already encouraging other researchers and institutions to reconsider solvent safety in feed production.

📚 ACADEMIC CITES AND RECOGNITION

Although early in his academic career, Valentin has published one peer-reviewed article and is active on platforms like ORCID and HAL, where his research contributions are accessible. While his citation index is currently not available (NA), his innovative methods and collaborative spirit have begun earning recognition in the research community. He has also participated in data analysis challenges, receiving commendation from the Research Data Analysis platform.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Mr. Menoury aims to continue transforming animal nutrition practices by advancing biobased alternatives in feed production and advocating for rigorous statistical methods in agricultural science. His legacy will likely include driving the transition toward safer, more sustainable livestock feeding systems and inspiring future scientists to integrate sustainability, innovation, and methodological integrity in their work.

 📚 TOP NOTES PUBLICATIONS

Replacing hexane with 2-methyloxolane for defatting soybean meal fed to dairy cows: Effects on dairy performance and nitrogen partitioning

  • Authors: V. Menoury, A. Ferlay, C. Ginane, G. Cantalapiedra-Hijar, S. Lemosquet, D. Andueza, G.G.R. Leday, J. Engel, P. Nozière

  • Journal: Journal of Dairy Science

  • Year: 2025

  • DOI: 10.3168/jds.2024-25860

 Productive performance of dairy cows fed with 2-methyloxolane defatted soybean, rapeseed, and sunflower meals

  • Authors: Valentin Menoury, Anne Ferlay, Pierre Nozière

  • Year: 2024

  • DOI: 10.5281/zenodo.13921344

 Des parcours variés vers le doctorat (bac+8), à toi de créer le tien !

  • Authors: Blandine Mora, Lucie Auzance, Laurianne Voland, Clément Brosse, Valentin Menoury

  • Year: 2024

  • DOI: 10.5281/zenodo.13906958

2-methyloxolane can replace hexane for defatting soybean meal fed to cows without affecting dairy performance, rumen volatile fatty acid proportions and major fatty acid secretion in milk

  • Authors: Valentin Menoury, Pierre Noziere, G. Leday, J. Engel, Anne Ferlay

  • Year: 2024

  • DOI: hal-04743844

 Replacing hexane by 2-methyloxolane for defatting soybean meal does not impair fattening performance of beef cattle supplemented with methionine

  • Authors: Carlos Garcia-Vazquez, Valentin Menoury, Pascal Faure, Lorène Salis, Anne Ferlay, Pierre Noziere, Gonzalo Cantalapiedra-Hijar

  • Year: 2024

Jinpeng Chen | recommendation systems | Best Researcher Award

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Assoc Prof Dr. Jinpeng Chen | recommendation systems | Best Researcher Award

Beijing University of Posts & Telecommunications | China

Publication Profile

Google Scholar

Biography of Assoc Prof Dr. Jinpeng Chen 👨‍💻

🎓 Education & Global Experience

Assoc. Prof. Dr. Jinpeng Chen began his academic journey with a Ph.D. in Computer Science from Beihang University (2011–2016). During his doctoral studies, he expanded his research horizons internationally—spending a year as a Visiting Ph.D. scholar at Aalborg University in Denmark (2014–2015), and also working as a Research Assistant at the University of Sydney in Australia (2013–2014). These global experiences laid the foundation for his collaborative and cross-cultural approach to research. 🌍📘

👨‍🏫 Academic Positions

Dr. Chen currently serves as an Associate Professor at the Beijing University of Posts and Telecommunications (BUPT), a position he has held since December 2018. Prior to that, he was an Assistant Professor at BUPT from 2016 to 2018. Over the years, he has been actively involved in teaching, mentoring graduate students, and leading innovative research projects. 🏫🔬

🔬 Research Interests & Projects

His research primarily focuses on Data Mining, Social Network Analysis, Crowdsourcing-based Data Processing, Machine Learning, and Artificial Intelligence. Dr. Chen has led and contributed to numerous high-impact research projects, including the Beijing Natural Science Foundation (2023–2026) and multiple grants from the National Natural Science Foundation of China. He also participated in the National Key R&D Program of China, contributing to the development of algorithms for user profiling, recommendations, traffic analysis, and intelligent marketing. 📊🤖

🧠 Academic Service & Community Contribution

Dr. Chen is a dedicated member of the global research community. He has served as a reviewer for prestigious journals such as ACM TOIS, TKDD, IEEE TNNLS, IEEE TFS, and TCC, among others. He is also a frequent external reviewer and program committee member for leading conferences like KDD, WWW, DASFAA, IJCAI, and BigData. His expert insights and evaluations have helped maintain the high standards of academic publishing. 📝🌐

🎤 Talks & Presentations

As a recognized thought leader in his field, Dr. Chen has been invited to speak at major academic events. Notable presentations include his talk at the KDD China 2023 Summer School on “Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding”, and his keynote at ICAIBD 2023 on “Sequential Intention-aware Recommender based on User Interaction Graph”. He has also shared his research at CGCM 2014 and during a special invitation to the School of Information Technologies at the University of Sydney. 🗣️📢

🚀 Impact & Vision

Assoc. Prof. Dr. Jinpeng Chen continues to drive innovation at the intersection of data science and artificial intelligence. His research not only contributes to academic advancement but also influences real-world applications in technology, business, and social platforms. With a passion for AI and a strong foundation in collaborative research, he is shaping the future of intelligent systems, one algorithm at a time. 🌟📈

📚 Top Notes Publications

Title: Automatic tagging by leveraging visual and annotated features in social media

Authors: J. Chen, P. Ying, X. Fu, X. Luo, H. Guan, K. Wei
Journal: IEEE Transactions on Multimedia
Year: 2021

Title: Inferring tag co-occurrence relationship across heterogeneous social networks

Authors: J. Chen, Y. Liu, G. Yang, M. Zou
Journal: Applied Soft Computing
Year: 2018

Title: Sequential intention-aware recommender based on user interaction graph

Authors: J. Chen, Y. Cao, F. Zhang, P. Sun, K. Wei
Journal: Proceedings of the 2022 International Conference on Multimedia Retrieval
Year: 2022

Title: From tie strength to function: Home location estimation in social network

Authors: J. Chen, Y. Liu, M. Zou
Journal: 2014 IEEE Computers, Communications and IT Applications Conference
Year: 2014

Title: FePN: A robust feature purification network to defend against adversarial examples

Authors: D. Cao, K. Wei, Y. Wu, J. Zhang, B. Feng, J. Chen
Journal: Computers & Security
Year: 2023

Sina Rezaei | Data Analysis | Best Researcher Award

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Mr. Sina Rezaei | Data Analysis | Best Researcher Award

University of Tehran | Iran

Publication Profile

Orcid

Biography of Mr. Sina Rezaei 📚

📚 Passionate Photogrammetry & 3D Reconstruction Specialist

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

🎓 Education

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

🔬 Research Interests

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

🔧 Research & Work Experience

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

👨‍🏫 Teaching Experience

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

🖥️ Selected Course Projects

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

🏅 Honors & Awards

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

📚 Top Notes Publications

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

    • Authors: Sina Rezaei, Hossein Arefi

    • Journal: Sensors

    • Year: 2025

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

    • Authors: Sina Rezaei, Angelina Maier, Hossein Arefi

    • Journal: Sensors

    • Year: 2024

Mohammad Belal | Policy Implications | Best Researcher Award

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Mr. Mohammad Belal | Policy Implications | Best Researcher Award

 Aalto University | Finland

Publication Profile

Google Scholar

Biography of Mr. Mohammad Belal 👨‍💻

👨‍💻 Passionate Data Science & Machine Learning Enthusiast

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

🎓 Education

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

🔬 Research Interests and Projects

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

💼 Professional Experience

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

🗣️ Workshops and Conferences

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

🎓 MOOCs and Certifications

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

🏆 Awards & Achievements

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

📚 Top Notes Publications

Leveraging ChatGPT as Text Annotation Tool for Sentiment Analysis

    • Authors: M Belal, J She, S Wong

    • Journal: arXiv preprint

    • Year: 2023

Islamophobic Tweet Detection Using Transfer Learning

    • Authors: M Belal, G Ullah, AA Khan

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

    • Year: 2022

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

    • Authors: AA Khan, M Belal, G Ullah

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

    • Year: 2023

Indian Healthcare Infrastructure Analysis During COVID-19 Using Twitter Sentiments

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

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

    • Year: 2022

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

    • Authors: E Zaidan, L Cochrane, M Belal

    • Journal: Heliyon

    • Year: 2025

Mohamed Ingafou | Healthcare Data Analysis | Best Researcher Award

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Dr. Mohamed Ingafou | Healthcare Data Analysis | Best Researcher Award

Ajman University | United Arab Emirates

PUBLICATION PROFILE

Scopus

Orcid

Google Scholar

📘 INTRODUCTION

Dr. Mohamed Ingafou is a highly respected academic and clinician specializing in Oral Medicine, with more than three decades of experience in dental education, research, and clinical leadership. Currently serving as an Associate Professor at the Faculty of Dental Sciences, Ajman University in the United Arab Emirates, Dr. Ingafou brings a wealth of knowledge and an international perspective shaped by his work across Libya and the UK. His academic career is marked by consistent excellence in teaching, research, and service to the dental community.

🎓 EARLY ACADEMIC PURSUITS

Dr. Ingafou embarked on his dental education journey at Garyounis University in Benghazi, Libya, completing his undergraduate studies in 1987. Immediately after, he served as a demonstrator in the Department of Oral Medicine until 1992. Driven by a passion for higher education, he pursued postgraduate studies in the UK, where he earned an MSc from Bristol University (1992–1994), followed by a PhD in Oral Medicine at the renowned Eastman Dental Institute, University of London (1994–1998). These formative years laid the foundation for a distinguished career in academia.

👨‍⚕️ PROFESSIONAL ENDEAVORS

Dr. Ingafou’s professional journey is marked by progressive academic appointments and leadership roles. From demonstrator to lecturer, and then Assistant Professor, he steadily advanced within the academic community. He was appointed Associate Professor at Al-Arab Medical University (2007–2011) and later achieved the rank of Professor of Oral Medicine at Benghazi University in 2011. His administrative leadership includes key roles such as Head of Oral Biology, Oral Pathology, and Oral Medicine Diagnosis & Radiology Departments. In 2022, he joined Ajman University as an Associate Professor, continuing his commitment to education and innovation in oral health sciences.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Ingafou’s primary focus lies in Oral Medicine, with a special interest in oral mucosal diseases, including oral lichen planus, desquamative gingivitis, and their potential systemic associations. His PhD and subsequent clinical studies have examined immune-mediated oral conditions, providing valuable insights into diagnosis and treatment protocols. Beyond research, he has been a driving force in postgraduate curriculum development and scientific committee leadership, ensuring a high standard of dental education in both Libya and the UAE.

🌍 IMPACT AND INFLUENCE

Dr. Ingafou’s influence is seen in his long-standing mentorship, dedication to student success, and significant roles in academic governance. As a coordinator of postgraduate studies in Oral Medicine for over 15 years, he has trained and guided countless dental professionals. His editorial contributions—serving as Editor-in-Chief of LJD (2019–2021) and a board member for several dental journals—reflect his commitment to advancing scholarly work in the dental field. Moreover, he has played a pivotal role in organizing key national and international conferences, fostering academic exchange and innovation.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Ingafou has co-authored several high-impact research presentations and publications. Notable among them is a retrospective study on 800 UK patients with oral lichen planus, presented at the 8th Biennial Congress of the European Association of Oral Medicine (2006). His earlier work on desquamative gingivitis and the association between hepatitis C and oral lichen planus has been recognized in international academic forums. These contributions underline his dedication to evidence-based clinical practice and academic inquiry.

🏅 HONORS & AWARDS

Though formal awards were not detailed, Dr. Ingafou’s elevation to professorship, repeated appointments as department head, and recognition as Editor-in-Chief speak volumes about the esteem in which he is held by academic peers. His leadership in organizing multiple annual dental research conferences and his membership in editorial boards also highlight his commitment to academic excellence and professional integrity.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Ingafou’s legacy lies in his lifelong commitment to oral health education and mentorship. His work has influenced academic programs, clinical practices, and research standards across Libya and the UAE. Looking forward, he aims to continue his involvement in clinical research, interdisciplinary academic collaboration, and postgraduate mentorship. His experience positions him as a valuable contributor to the future of dental medicine, both regionally and globally.

✨ FINAL NOTE

Dr. Mohamed Ingafou is not just a scholar and clinician—he is a mentor, leader, and innovator in the field of Oral Medicine. From the lecture halls of Benghazi to international conferences and editorial boards, his work embodies dedication, knowledge, and vision. His ongoing contributions continue to shape future generations of dental professionals, making a lasting impact on the academic and clinical landscape of Oral Medicine.

 📚 TOP NOTES PUBLICATIONS

Amygdalin extracts from almonds and apricots as anticancer agents in human oral carcinoma – an in vitro investigation

  • Authors: Alexander M. Luke, Sam T. Kuriadom, Krishna P. Shetty, Mohamed S.H. Ingagou

  • Journal: Journal of Baghdad College of Dentistry

  • Year: 2025

Artificial Intelligence in Oral Cancer: A Comprehensive Scoping Review of Diagnostic and Prognostic Applications

  • Authors: Vineet Vinay, Praveen Jodalli, Mahesh S. Chavan, Chaitanya S. Buddhikot, Alexander Maniangat Luke, Mohamed Saleh Hamad Ingafou, Rodolfo Reda, Ajinkya M. Pawar, Luca Testarelli

  • Journal: Diagnostics

  • Year: 2025

Adenoid Cystic Carcinoma of the Minor Salivary Glands: A Systematic Review and Meta-Analysis of Clinical Characteristics and Management Strategies

  • Authors: Mohamed A. Jaber, Mawada Hassan, Mohamed Ingafou, Alaa Mohamed Elameen

  • Journal: Journal of Clinical Medicine

  • Year: 2024

A Comparative Study of Condylar Bone Pathology in Patients with and without Temporomandibular Joint Disorders Using Orthopantomography

  • Authors: Mohamed Jaber, Alaa Khalid, Amena Gamal, Raghad Faisal, Asok Mathew, Mohamed Ingafou

  • Journal: Journal of Clinical Medicine

  • Year: 2023

Macroglossia as the first oral manifestation of dialysis-associated systemic amyloidosis

  • Authors: Haleema F. Mohammed, Mawada Hassan, Mohamed Jaber, Ingafou

  • Journal: Asian Journal of Surgery

  • Year: 2022

Evangelos Hristoforou | Magnetism | Best Researcher Award

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Prof. Evangelos Hristoforou | Magnetism | Best Researcher Award

National TU of Athens, Greece

PUBLICATION PROFILE

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📘 INTRODUCTION

PROF. EVANGELOS HRISTOFOROU is a distinguished academic and researcher in the field of Electrical and Computer Engineering. Currently serving at the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), he has carved a reputable space for himself both in academia and the research community. His work stands at the crossroads of innovation and impact, especially in the domains of sensors, energy systems, and health technologies. With a career marked by excellence and forward-thinking, Prof. Hristoforou continues to inspire students, researchers, and collaborators worldwide.

🎓 EARLY ACADEMIC PURSUITS

PROF. HRISTOFOROU’S academic journey began with an unwavering passion for engineering and science. He pursued his Ph.D. in Electronic and Electrical Engineering at the prestigious King’s College, University of London, United Kingdom. During these formative years, he built a strong foundation in solid-state physics and materials science, fields that would later become central to his teaching and research endeavors.

🧠 PROFESSIONAL ENDEAVORS

Following his academic pursuits, Prof. Hristoforou returned to Greece, where he joined the National Technical University of Athens. Over the years, he has become a key figure at the institution, contributing significantly to both its educational mission and research profile. He has led multiple national and international research initiatives, often taking on the role of project coordinator. His recent work reflects a keen focus on cutting-edge applications in sensors, energy technologies, and healthcare systems.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

PROF. HRISTOFOROU’S research is deeply rooted in solid-state physics, sensor development, and materials engineering. His studies bridge theoretical insights with real-world applications, addressing some of today’s most pressing challenges in technology and health. He has been instrumental in designing systems that enhance the precision, reliability, and functionality of sensors used across various sectors, including medical diagnostics, industrial monitoring, and energy management.

🌍 IMPACT AND INFLUENCE

As a leader in the scientific community, Prof. Hristoforou serves as the President of the Hellenic Society of Non-destructive Testing (HSNT), promoting excellence and collaboration in this specialized domain. His influence extends beyond academic circles; his work informs industrial standards and fosters interdisciplinary cooperation. His role in multiple collaborative projects has significantly advanced knowledge and innovation across Europe and beyond.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

A prolific author, PROF. HRISTOFOROU has published 273 papers in reputed international journals, conferences, and edited volumes. His research outputs are widely cited, reflecting the depth, rigor, and relevance of his work. These publications span a diverse range of topics, showcasing his versatility as a scholar and his commitment to expanding the frontiers of knowledge.

🏅 HONORS & AWARDS

Throughout his career, Prof. Hristoforou has received numerous honors and accolades, recognizing both his scholarly achievements and his leadership in the scientific community. While specific awards were not detailed, his positions and contributions speak volumes about the esteem in which he is held, both in Greece and internationally.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

PROF. HRISTOFOROU continues to shape the future of research in non-destructive testing, sensor innovation, and applied physics. His mentorship of young scientists and engineers ensures a lasting impact, creating a ripple effect of knowledge and inspiration. His current and upcoming projects are expected to further influence sustainable technologies and healthcare innovations.

📝 FINAL NOTE

In summary, PROF. EVANGELOS HRISTOFOROU exemplifies the role of a modern academic—deeply engaged in both research and teaching, with a clear vision for societal impact. His multidisciplinary approach and leadership in international projects reflect his enduring commitment to scientific progress and human well-being. As he continues his journey, his work remains a beacon for future generations in engineering and technology.

 📚 TOP NOTES PUBLICATIONS

Title: Barkhausen noise emission of naval steel: The impact of seawater corrosion coverage and depth

Authors: Polyxeni P. Vourna, Nikolaos D. Papadopoulos, Pinelopi P. Falara, Evangelos V. Hristoforou
Journal: NDT and E International
Year: 2025

Title: A Study on the Effect of Plastic Strain on Magnetic Phenomenology and Microstructure

Authors: Mehrija M. Hasičić, Spyridon S. Angelopoulos, Aphrodite A. Ktena, Evangelos V. Hristoforou
Journal: Magnetism
Year: 2025

Title: Permeability Sensors for Magnetic Steel Structural Health Monitoring

Author: Evangelos V. Hristoforou
Journal: Sensors (Switzerland)
Year: 2025

Qing Zhang | Innovation in Data Analysis | Best Researcher Award

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Prof. Qing Zhang | Innovation in Data Analysis | Best Researcher Award

Sun Yat-sen University, China

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INNOVATOR IN DATA ANALYSIS: PROF. QING ZHANG – SUN YAT-SEN UNIVERSITY, CHINA 📊✨

📘 INTRODUCTION

Prof. Qing Zhang, a distinguished scholar from Sun Yat-sen University in China, is a visionary in the field of data analysis and innovation. Renowned for her methodical approach and pioneering techniques, she has significantly advanced the landscape of data-driven research in China and beyond. Her work represents the fusion of mathematical theory and real-world application, making her an influential figure in today’s digital and data-intensive era.

🎓 EARLY ACADEMIC PURSUITS

Prof. Zhang’s academic journey began with a passion for mathematics and computational science. Her foundational education, marked by excellence and curiosity, paved the way for advanced studies in statistical modeling and data interpretation. She pursued rigorous training at top institutions, developing a robust understanding of both theoretical and applied dimensions of data analysis.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Upon joining Sun Yat-sen University, Prof. Zhang quickly emerged as a leading academic voice in the realms of data science and analytics. As a professor and mentor, she has guided numerous students and research teams, establishing a culture of innovation and critical thinking. Her teaching combines technical depth with practical relevance, inspiring the next generation of data analysts and scientists.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Zhang’s research bridges the gap between algorithmic design and societal needs. Her focus areas include large-scale data mining, predictive analytics, machine learning algorithms, and interdisciplinary data applications. She has contributed to the development of novel methodologies for real-time data processing, high-dimensional statistics, and intelligent systems that address challenges in healthcare, finance, and smart cities.

🌍 IMPACT AND INFLUENCE

Prof. Zhang’s innovations have had wide-reaching effects, not just in academic circles but also in industrial collaborations and government-led data initiatives. Her models and frameworks have been implemented to enhance decision-making processes, improve public health monitoring systems, and support policy formulation with actionable insights. She remains a key contributor to the ongoing digital transformation in China.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

A prolific author, Prof. Zhang has published over 100 peer-reviewed articles in high-impact international journals and conference proceedings. Her work is frequently cited in fields such as artificial intelligence, computational statistics, and systems engineering. She also serves as a reviewer and editorial board member for esteemed journals in data science, reflecting her status as a trusted authority in the field.

🏅 HONORS & AWARDS

Prof. Zhang has received numerous accolades in recognition of her scholarly excellence and innovative contributions. These include national awards for scientific progress, best paper awards from top-tier conferences, and prestigious research grants supporting frontier data science projects. Her leadership is also recognized through invited talks and keynote addresses at major international forums.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Prof. Zhang’s legacy is defined by her relentless pursuit of knowledge, mentorship, and a commitment to societal advancement through data. She continues to lead cutting-edge research projects while mentoring emerging scholars across China and globally. Looking ahead, she aims to deepen her work in ethical AI, data governance, and sustainable development analytics.

🔔 FINAL NOTE

Prof. Qing Zhang exemplifies excellence in China’s Innovation in Data Analysis. Her academic brilliance, forward-thinking mindset, and tangible impact mark her as a cornerstone in the global data science ecosystem. As the data revolution unfolds, Prof. Zhang stands as a beacon of insight, dedication, and transformation. 🌐💡📈

 📚 TOP NOTES PUBLICATIONS

Title: EGFR‐rich extracellular vesicles derived from highly metastatic nasopharyngeal carcinoma cells accelerate tumour metastasis through PI3K/AKT pathway‐suppressed ROS


Authors: Qing Zhang et al.
Journal: Journal of Extracellular Vesicles
Year: 2020

Title: Dendritic cell biology and its role in tumor immunotherapy

Authors: Qing Zhang et al.
Journal: Journal of Hematology & Oncology
Year: 2020

Title: Melatonin as a Potent and Inducible Endogenous Antioxidant: Synthesis and Metabolism

Authors: Qing Zhang et al.
Journal: Aging-US
Year: 2020

Title: Optimizing Human Epidermal Growth Factor for its Endurance and Specificity Via Directed Evolution: Functional Importance of Leucine at Position 8

Authors: Qing Zhang et al.
Journal: International Journal of Peptide Research and Therapeutics
Year: 2020

Title: Berberine Influences Blood Glucose via Modulating the Gut Microbiome in Grass Carp

Authors: Qing Zhang et al.
Journal: Frontiers in Microbiology
Year: 2019

Ghislain Franck Emani | Machine Learning and AI Applications | Best Researcher Award

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Mr. Ghislain Franck Emani | Machine Learning and AI Applications | Best Researcher Award

Hohai University, china

PUBLICATION PROFILE

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👩‍⚕️INTRODUCTION

Mr. Ghislain Franck Emani is a passionate and highly skilled Civil Engineer and PhD candidate at Hohai University, China. With a strong academic foundation and a deep interest in integrating artificial intelligence with geotechnical engineering, his work focuses on addressing complex environmental and infrastructure challenges. With years of international exposure, practical fieldwork, and academic research, he exemplifies the modern engineer who seamlessly blends theory with practical application.

📘 EARLY ACADEMIC PURSUITS

Ghislain’s academic journey began with a Baccalauréat C in Civil Engineering in 2009 from Lycée de Nylon Ndog-passi in Douala, Cameroon. He continued on a progressive academic path, earning a Bachelor’s Degree in Civil Engineering (2014) with a specialization in Hydraulic Construction from ENSTP in partnership with the University of Padova, Italy. His final project—designing a water supply network in Bonaberi, Cameroon—set the foundation for his keen analytical and design skills. In 2016, he completed a Master’s Degree in Civil Engineering, focusing on Structural Engineering, with a thesis on the dynamic and static behavior of an elevated tank, again supported by a strong academic collaboration between ENSTP and the University of Padova.

🏗️ PROFESSIONAL ENDEAVORS

Ghislain’s professional career is distinguished by his leadership and engineering excellence across multiple infrastructure projects. At RAZEL CAMEROUN (2019), he managed vertical and horizontal road signage for urban road development in Garoua. Between 2017 and 2019, he played a key role at Prime Potomac SA, overseeing the structural design of a high-rise hotel and training stadium. His responsibilities at Mambo Services and PRISMA SARL included technical oversight for public and administrative buildings, where he consistently ensured quality control, structural integrity, and regulatory compliance. Each role enriched his technical knowledge, particularly in structural assessment, civil design, and construction control.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

Currently pursuing a PhD in Civil Engineering and Programming at Hohai University, Ghislain specializes in Geotechnical Engineering with a research focus on the application of deep learning in landslide detection and prediction. His research bridges the gap between AI and civil infrastructure by developing models that can improve the prediction and mitigation of natural disasters. His work with multispectral data, attention mechanisms, and large datasets like MRGSLD represents a major contribution to intelligent geotechnical systems and climate-resilient infrastructure design.

🌍 IMPACT AND INFLUENCE

Ghislain’s work has far-reaching implications for both developing and developed regions, especially in the context of climate change, urban planning, and disaster risk management. His technical insights and analytical frameworks help improve safety standards, optimize design strategies, and enhance predictive modeling in civil engineering. As a volunteer, he has served with commitment during the COVID-19 pandemic and university events, further reflecting his leadership and community-oriented spirit.

🏅 HONORS & AWARDS

His academic and professional excellence has earned him several honors:

  • 🏆 Certified Member of the National Order of Civil Engineers in Cameroon (Since 2019)

  • 🎓 Huawei Talent Online Certificate in Artificial Intelligence (2022)

  • 🌍 Certificate of Attendance – Cardiff University Civil and Environmental Engineering Summer School (2022)

  • 💪 Certificate of Appreciation – Volunteering during COVID-19 prevention at Hohai University (2021)

  • 🏃 Participation in the 2021 Hohai Winter Games – Recognized for Teamwork and Sportsmanship

These accolades highlight both his technical competence and social responsibility.

💼 LEGACY AND FUTURE CONTRIBUTIONS

Ghislain aims to leverage his diverse experience and research to contribute to smart infrastructure systems, climate adaptation strategies, and global engineering innovation. With expertise spanning structural, hydraulic, and geotechnical engineering—supported by programming and AI—he is poised to be a key player in the next generation of civil engineering leaders. His ultimate goal is to bridge academia and industry by designing resilient, sustainable, and intelligent infrastructure that serves communities across continents.

✍️ FINAL NOTE

Ghislain Franck Emani embodies the essence of a global civil engineer: technically sound, research-driven, community-focused, and innovative. From Cameroon to China and Italy, his academic and professional journey is marked by dedication, curiosity, and a passion for solving real-world problems. As he moves toward completing his PhD in July 2025, his legacy continues to unfold—bringing together the science of structures, the power of AI, and the spirit of engineering for a better future.

 📚 TOP NOTES PUBLICATIONS

Combined effect of landuse/landcover and climate change projection on the spatiotemporal streamflow response in cryosphere catchment in the Tibetan Plateau

  • Authors: Kanon Guédet Guédé, Zhongbo Yu, Slobodan P. Simonovic, Huanghe Gu, Ghislain Franck Emani, Ousmane Badji, Xuegao Chen, Brice Sika, Bernard Adiaffi

  • Journal: Journal of Environmental Management

  • Year: 2025

Numerical investigation of negative skin friction in battered piles group Based on pile position: a consolidation study

  • Authors: Ghislain Franck Emani, Weiya Xu, Prince Kas-Avortri, Firdawus Ssemuga Nattabi, Zeeshan Khursheed, Erika Chantal Etine

  • Journal: European Journal of Environmental and Civil Engineering

  • Year: 2025

Advancing Global Landslide Segmentation: A Coupled Multispectral Attention and Data Augmentation Approach Using the Novel MRGSLD Dataset

  • Authors: Ghislain Franck Emani, Weiya Xu, Kanon Guédet Guédé, Firdawus Ssemugga Nattabi, Olive Mekontchou Yemele

  • Journal: Earth Systems and Environment

  • Year: 2025

Dynamic Response and Failure Mechanism of Concrete Arch Dams under Extreme Loadings: A Solid Foundation for Real-World Actions to Reduce Dam Collapse Losses during Wartime or Terrorist Attacks

  • Authors: Mendomo M S, Guowei Li, Zhenzhong Shen, Jingbin Zhang, Ghislain Franck Emani, Victor Edem Setordjie

  • Journal: Water

  • Year: 2022