Sina Rezaei | Data Analysis | Best Researcher Award

Posted on by ScienceFather

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

Muhammad Riaz | Data Science | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Riaz | Data Science | Best Researcher Award

Chengdu University of Technology, Chengdu | China

PUBLICATION PROFILE

Orcid

INTRODUCTION 👨‍🔬

Dr. Muhammad Riaz is an accomplished academic and researcher specializing in geology. He currently holds the position of Associate Researcher at the College of Energy Resources, Chengdu University of Technology, China. With an extensive background in both academic and practical fields of geology, Dr. Riaz has contributed significantly to various projects and studies, particularly in sedimentology and biostratigraphy. His work has had a profound impact in both his home country, Pakistan, and internationally.

EARLY ACADEMIC PURSUITS 🎓

Dr. Riaz’s academic journey began at the University of the Punjab in Lahore, Pakistan, where he completed his Bachelor’s and MPhil degrees in Applied Geology. His passion for geology led him to pursue a PhD in Geology at China University of Geosciences in Beijing, where he further honed his skills and knowledge. His doctoral research focused on the study of sedimentary structures and formations, laying the groundwork for his future contributions in the field.

PROFESSIONAL ENDEAVORS 💼

Throughout his career, Dr. Riaz has held numerous prestigious positions, both in academia and in industry. He currently works as an Associate Researcher at Chengdu University of Technology in China. Prior to this, he served as a Senior Sedimentologist at the Hydrocarbon Development Institute of Pakistan (HDIP), where he focused on sedimentology and biostratigraphy. His role as an Assistant Professor at the Centre for Geographical Information System, University of the Punjab, Lahore, has also shaped his academic trajectory. He has contributed to various research projects related to geological studies, particularly in hydrocarbon exploration and resource management.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Riaz’s research primarily focuses on sedimentology, stratigraphy, and geological fabric diversity. He has contributed significantly to understanding the Cambrian bioherms along the Northern Margin of the North China Craton. His research also includes the study of the economic significance of Permian Wargal Limestone in Pakistan’s Western Salt Range. His work in geosciences, particularly sedimentology, has provided valuable insights into the geological history and resource potential of these regions.

IMPACT AND INFLUENCE 🌍

Dr. Riaz’s work has had a lasting impact on the academic community as well as the petroleum and energy sectors. Through his research and collaboration with institutions like the Hydrocarbon Development Institute of Pakistan and the China University of Geosciences, he has influenced the development of geological studies in sedimentology, hydrocarbon exploration, and resource management. His projects have advanced the understanding of geological formations, contributing to better resource utilization and environmental management.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Riaz has authored numerous research papers and publications in prestigious scientific journals. His work is frequently cited by other geologists and researchers in the fields of sedimentology and geological exploration. He has also presented his research findings at various international conferences, further solidifying his reputation as a leading expert in his field. His published work continues to be a valuable resource for researchers and industry professionals alike.

HONORS & AWARDS 🏆

Dr. Riaz’s outstanding contributions have been recognized through various prestigious awards. In 2023, he was honored with the “Best Performance Award” by the Hydrocarbon Development Institute of Pakistan. In 2021, he received a research grant from the Higher Education Commission of Pakistan. His achievements have also been acknowledged with multiple awards, including the Outstanding Scientific Research Achievement Award from China University of Geosciences in 2018 and merit scholarships from the University of the Punjab.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Riaz’s legacy in the field of geology is defined by his deep commitment to research, teaching, and industry advancement. As he continues his work at Chengdu University of Technology, his future contributions are expected to further enhance the understanding of geological processes, especially in sedimentology and biostratigraphy. His ongoing research promises to shape the future of energy resources, environmental studies, and geological exploration in both Asia and globally.

FINAL NOTE ✨

Dr. Muhammad Riaz’s career is a testament to his dedication to the advancement of geological sciences. From his early academic pursuits to his current role as a prominent researcher, his work continues to inspire the next generation of geoscientists. With his extensive experience and continued passion for research, he is poised to make even more significant contributions to the world of geology, shaping the future of energy resources and geological exploration.

TOP NOTES PUBLICATIONS 📚

Article Title: Microbially-dominated Cambrian (Miaolingian) carbonate reef of the North China

    • Authors: Ming-Xiang Mei, Muhammad Riaz, Ardiansyah Koeshidayatullah, Zi-Liang Liu

    • Journal: Journal of Palaeogeography

    • Year: 2025

Article Title: Understanding the origin of ancient carbonate ooids: recent findings

    • Authors: Muhammad Riaz, Santanu Banerjee, Khalid Latif, Ziliang Liu, Mohamed S. Ahmed, Douaa Fathy

    • Journal: International Geology Review

    • Year: 2024

Article Title: Biohermal complex dominated by microbial carbonates from the early Miaolingian (lower Cambrian) Maozhuang Formation, North China

    • Authors: Mingxiang Mei, Muhammad Riaz, Khalid Latif, Ziliang Liu, Mohamed S. Ahmed, Douaa Fathy

    • Journal: Facies

    • Year: 2023

Article Title: Morphology and genesis of the Cambrian oncoids in Wuhai Section, Inner Mongolia, China

    • Authors: Muhammad Riaz, Khalid Latif, Tehseen Zafar, Enzhao Xiao, Shahid Ghazi

    • Journal: Carbonates and Evaporites

    • Year: 2022

Article Title: Sequence stratigraphy, depositional and diagenetic environments of the late Cambrian glauconite bearing oolitic limestones in the Kelan Section, Shanxi, China

    • Authors: Muhammad Riaz, G M Bhat, Khalid Latif, Tehseen Zafar, Shahid Ghazi

    • Journal: Journal of Earth System Science

    • Year: 2022

Article Title: Diversified calcimicrobes in dendrolites of the Zhangxia Formation, Miaolingian Series (Middle Cambrian) of the North China craton

    • Authors: Ming-Xiang Mei, Muhammad Riaz, Zhen-Wu Zhang, Qing-Fen Meng, Yuan Hu

    • Journal: Journal of Palaeogeography

    • Year: 2021

Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

Posted on by ScienceFather

Mr. Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

National Institute of Technology Warangal | India

Publication Profile

Google Scholar

🧑‍🎓 Education

Mr. Laxmi Kantham Durgam is currently pursuing his PhD in Electrical Engineering at National Institute of Technology Warangal, Telangana, India (2021–Present). His research focuses on Speech Recognition, Age and Gender Identification from Speech, and the application of Machine Learning and Deep Learning techniques. He is also a Visiting Researcher at the Technical University of Kosice, Slovakia, as part of the NSP SAIA Fellowship (2024). Mr. Durgam holds an M.Tech in Digital Systems and Computer Electronics from Jawaharlal Nehru Technological University, Hyderabad (2017–2020) and a B.Tech in Electronics and Communication Engineering from the same institution (2011–2015).

📚 Publications

Mr. Durgam has contributed to various publications in the fields of speech processing, deep learning, and edge computing. His notable works include papers on speaker age and gender classification, real-time age estimation from speech, and dress code detection using MobileNetV2 on NVIDIA Jetson Nano. He has been published in journals like Computing and Informatics and Journal of Signal Processing Systems, as well as conferences like ICIT-2023 in Kyoto, Japan.

🔬 Research Experience

Since 2021, Mr. Durgam has been a PhD Research Scholar at NIT Warangal, where his research includes projects on real-time age identification from speech using Edge devices like Jetson Nano and Arduino Nano BLE. He has also worked on real-time projects like vehicle logo classification using Edge Impulse and dress code detection using MobileNetV2. His work is focused on implementing Machine Learning and Deep Learning algorithms for practical, real-time applications.

🏆 Fellowships and Awards

Mr. Durgam was awarded the NSP SAIA Fellowship (2024), an international mobility program funded by the European Union, allowing him to collaborate with the KEMT, Faculty of Electrical Engineering and Informatics at the Technical University of Kosice, Slovakia. He also received the MHRD Fellowship for his PhD from the Government of India. He has passed the NITW PhD Entrance and the GATE exam (2016), and he received financial support as an undergraduate student from the Andhra Pradesh State Government.

📖 Academic Achievements

Mr. Durgam has significantly contributed to the academic environment through his role in conducting hands-on programming sessions in Machine Learning, Deep Learning, and AI applications. He has mentored students in Faculty Development Programs (FDPs), summer and winter internships, and workshops at various institutions. His workshops have reached institutions such as BRIT Vijayanagaram and VBIT Hyderabad, where he focused on advanced deep learning applications on Edge devices.

💻 Technical Skills

Mr. Durgam is highly skilled in programming with languages like Python, C, Embedded C, Matlab, and frameworks such as Keras, TensorFlow, and OpenCV. He has experience working with edge devices like Jetson Nano, Jetson Xavier, and Arduino Nano BLE 33 Sense. His expertise also extends to Machine Learning, Deep Learning, Computer Vision, and Digital Signal Processing.

🧑‍🏫 Teaching and Mentoring

Mr. Durgam has been an active Teaching Assistant and mentor at NIT Warangal, where he has assisted in courses like Artificial Intelligence, Machine Learning, and Digital Signal Processing. He has guided B.Tech students in lab sessions, and his expertise in AI/ML has also been shared through guest lectures and faculty development programs.

🚀 Key Projects

Some of Mr. Durgam’s key projects include age and gender estimation from speech using MFCC features, dress code detection with MobileNetV2 on Edge devices, and real-time object detection using deep learning algorithms. He has successfully developed these applications on devices like Jetson Nano and Arduino Nano BLE for real-time deployment.

🌍 Professional Engagement

Mr. Durgam is an IEEE Student Member and an active participant in IEEE Young Professionals. He has been involved in organizing and coordinating internships, workshops, and training programs related to AI/ML and Deep Learning at NIT Warangal and other institutes. He is passionate about bridging the gap between academia and real-world applications, particularly through Edge Computing and AI deployment.

📚 Top Notes Publications 

Real-Time Dress Code Detection using MobileNetV2 Transfer Learning on NVIDIA Jetson Nano

    • Authors: LK Durgam, RK Jatoth

    • Journal: Proceedings of the 2023 11th International Conference on Information

    • Year: 2023

Real-Time Classification of Vehicle Logos on Arduino Nano BLE using Edge Impulse

    • Authors: D Abhinay, SV Vighnesh, LK Durgam, RK Jatoth

    • Journal: 2023 4th International Conference on Signal Processing and Communication

    • Year: 2023

Age Estimation based on MFCC Speech Features and Machine Learning Algorithms

    • Authors: LK Durgam, RK Jatoth

    • Journal: IEEE International Symposium on Smart Electronic Systems (iSES)

    • Year: 2022

Age Estimation from Speech Using Tuned CNN Model on Edge Devices

    • Authors: LK Durgam, RK Jatoth

    • Journal: Journal of Signal Processing Systems

    • Year: 2024

Age and Gender Estimation from Speech using various Deep Learning and Dimensionality Reduction Techniques

    • Authors: MPJJ Laxmi Kantham Durgam*, Ravi Kumar Jatoth, Daniel Hladek, Stanislav Ondas

    • Journal: Acoustics and Speech Processing at Speech analysis synthesis, Institute of

    • Year: 2024

 

Zaiyang Xie | text analysis | Young Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Zaiyang Xie | text analysis | Young Researcher Award

Zhejiang University of Technology | China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

XIE ZAIYANG is an Associate Professor at the School of Management, Zhejiang University of Technology. She holds a Doctorate in Management and has a strong academic background with degrees from Nankai University and Jinan University. Her academic pursuits have earned her recognition in the field, including being a recipient of various prestigious awards. She is also a graduate student supervisor and actively contributes to the academic community with her extensive research in corporate strategy, internationalization, and digital innovation management.

EARLY ACADEMIC PURSUITS 🎓

XIE ZAIYANG completed her Doctorate in Management from Nankai University in December 2020, after which she also pursued postdoctoral studies. Her Ph.D. research was conducted in collaboration with Jinan University (a national public scholarship). She began her academic career at Zhejiang University of Technology in December 2020, where she serves as a faculty member in the Department of Business Administration and as the class advisor for the 2102 Business Administration class.

PROFESSIONAL ENDEAVORS 💼

Currently, XIE ZAIYANG is an Associate Professor in the Department of Business Administration, where she teaches, researches, and leads several significant academic projects. She is a member of the Academy of Management (AOM), the Academy of International Business (AIB), and the International Association for Chinese Management Research (IACMR). XIE ZAIYANG has also contributed as a reviewer for numerous academic journals, ensuring the quality of publications in her field.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Her main research focuses include corporate strategy, internationalization, digital innovation management, and the governance of multinational corporations. She has secured several national and provincial-level research grants, leading projects on globalization, de-globalization, and corporate innovation, among others. XIE ZAIYANG’s studies have had a considerable influence on how businesses understand strategic decision-making and innovation in an increasingly interconnected and rapidly changing global environment.

IMPACT AND INFLUENCE 🌐

XIE ZAIYANG has published more than 30 papers in renowned journals such as the Journal of World Business, Technological Forecasting and Social Change, and Journal of Business Research. Her research has made a significant impact in the academic community, receiving numerous citations and awards. Notably, her work on the dynamics of multinational enterprises and innovation strategies has contributed to the advancement of corporate governance theory and practice.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

XIE ZAIYANG’s academic work has been widely cited and published in both international and Chinese journals. Some of her notable works include:

  • Returnee managers as an asset for emerging market multinational enterprises (Journal of World Business, 2022)

  • Big data and emerging market firms’ innovation in an open economy (Technological Forecasting and Social Change, 2021)

  • US-China Decoupling and the Chinese Firms’ Real Option to Defer R&D Investment (Journal of World Business, 2025)

In addition to her journal articles, she has authored several books and monographs on corporate governance and international business strategy.

HONORS & AWARDS 🏆

XIE ZAIYANG has been recognized with several prestigious awards, including the “National Top 100 Cases” award and the Zhejiang Provincial Outstanding Research Case award. She has also received numerous accolades for her teaching and research efforts, such as national and provincial-level research grants and awards for excellence in case studies. Her research has been selected for inclusion in the “China Management Case Sharing Center (CMCC)” and other important academic repositories.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

XIE ZAIYANG’s contributions to the academic field have laid the groundwork for future research on multinational enterprises, innovation strategies, and the evolution of corporate governance in China and beyond. Her ongoing work continues to influence the development of strategic management theories, particularly in the context of globalization and digital transformation. As a mentor and researcher, she aims to continue advancing knowledge in the intersection of global business strategy and innovation management.

FINAL NOTE 📅

XIE ZAIYANG is a dedicated scholar and educator who has made significant contributions to the field of management studies. Her work on strategic management, innovation, and corporate governance provides valuable insights for both scholars and practitioners. As she continues to lead impactful research, her legacy will shape the future of international business strategy and management.

TOP NOTES PUBLICATIONS 📚 

Returnee managers as an asset for emerging market multinational enterprises: Chinese cross-border acquisitions (2008–2017)

    • Authors: Xie Z.Y., Wang L.

    • Journal: Journal of World Business

    • Year: 2022

Big data and emerging market firms’ innovation in an open economy: The diversification strategy perspective

    • Authors: Xie Z.Y., Wang J., Miao L.

    • Journal: Technological Forecasting and Social Change

    • Year: 2021

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: A multinational perspective

    • Authors: Xie Z.Y., Qu L., Lin R.H., et al.

    • Journal: Journal of Enterprise Information Management

    • Year: 2021

US-China Decoupling and the Chinese Firms’ Real Option to Defer Overall but R&D Investment

    • Authors: Shao L., Xie Z.Y.*, Qiu Y.X., Wang L.

    • Journal: Journal of World Business

    • Year: 2025

The Rise of Female Board Representation in China as a Glocalization Process (2010-2018)

    • Authors: Wang L., Xie Z.Y.*, Majid Abdi, et al.

    • Journal: Journal of Business Research

    • Year: 2024

Abdulaziz Almaktoom | Resilience modeling | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Abdulaziz Almaktoom | Resilience modeling | Best Researcher Award

Effat University | Saudi Arabia

PUBLICATION PROFILE

Orcid

Scopus

Google Scholar

INTRODUCTION 🌟

Dr. Eng. Abdulaziz Turki Almaktoom is a highly distinguished academic and professional in the fields of Operations and Supply Chain Management. Holding a Ph.D. in Industrial Engineering, Dr. Almaktoom is known for his exceptional leadership, consultancy expertise, and a profound impact in higher education. As an Associate Professor and Chair of the Business Administration Department at Effat University, he has not only contributed to the academic sphere but also played an integral role in shaping the future of education in Saudi Arabia. His diverse skills span across Operations Management, Supply Chain Management, Data Analytics, Project Management, Risk Management, and many more.

EARLY ACADEMIC PURSUITS 📚

Dr. Almaktoom’s academic journey began with a keen interest in engineering and operations, leading him to pursue a Bachelor’s in Engineering Technology at Riyadh College of Technology. He continued to excel in his studies, earning a Master’s degree in Engineering Technology from Pittsburg State University, USA, before pursuing a Ph.D. in Industrial Engineering from Wichita State University, USA. His doctoral research focused on the reliability, robustness, and resilience of complex supply chain systems, showcasing his deep commitment to innovative solutions in operations.

PROFESSIONAL ENDEAVORS 💼

Dr. Almaktoom’s career is marked by a seamless blend of academia and industry. He has held significant roles such as Associate Professor, Chair of the Business Administration Department at Effat University, and Consultant for several prestigious firms in Saudi Arabia. His expertise spans across Project Management (PMP®), Risk Management (RMP®), Lean Six Sigma, and Supply Chain Analysis (CSCA®), making him a sought-after figure in both the education and business sectors. His contributions have led to the development of cutting-edge programs and curricula, helping shape future leaders in business administration and engineering.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Dr. Almaktoom’s research interests lie primarily in Operations and Supply Chain Management, with a focus on optimization techniques, systems simulation, forecasting, lean and six sigma, and quality control. He has published over 50 scientific articles in renowned international journals and conferences, contributing significantly to the field’s knowledge base. Dr. Almaktoom is particularly known for leveraging advanced methodologies like Artificial Intelligence, Metaheuristics, and Data Analytics to drive forward-thinking solutions in supply chain management.

IMPACT AND INFLUENCE 🌍

Through his innovative approach to curriculum design and leadership, Dr. Almaktoom has created a lasting impact on the education sector. He has been instrumental in the development of new programs, including Ph.D. and B.Sc. degrees in Operations and Supply Chain Management and Entrepreneurship. His influence extends beyond academia through his involvement with various organizations like the IEOM Society International and his role as an advisor and mentor to numerous students, helping them succeed both academically and professionally. His research and teaching continue to inspire students and professionals alike.

ACADEMIC CITATIONS AND PUBLICATIONS 📖

Dr. Almaktoom has gained significant recognition in the academic world for his publications, which have earned him numerous citations. Ranked among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia in 2024, his work continues to influence both the academic and professional communities. His research papers, especially those related to supply chain optimization and risk management, have been highly regarded and cited by peers in the industry.

HONORS & AWARDS 🏆

Throughout his career, Dr. Almaktoom has received numerous prestigious awards. These include being recognized as the Best Graduate Student at Wichita State University in 2015, the recipient of multiple international honors, and being ranked among the top scientists in Saudi Arabia in 2024. His accolades also include recognition for his academic excellence, including awards such as the Alpha Pi Mu Industrial Engineering Honor Society and membership in various elite organizations such as the Golden Key International Honor Society.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Almaktoom’s work has already established a strong legacy in the academic and professional sectors. His pioneering role in developing innovative programs and guiding students to success continues to set a high standard for excellence. Looking forward, he aims to further contribute to the research and development of sustainable and efficient solutions in operations and supply chain management, particularly through emerging technologies like AI and machine learning.

FINAL NOTE ✨

Dr. Abdulaziz Turki Almaktoom’s career exemplifies the power of dedication, innovation, and leadership in academia and industry. With a robust track record of impactful contributions in education, research, and professional development, Dr. Almaktoom’s legacy will undoubtedly continue to inspire future generations of students, researchers, and professionals across the globe. His forward-thinking approach and commitment to excellence ensure that his influence will resonate for years to come.

TOP NOTES PUBLICATIONS 📚

Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things

    • Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed

    • Journal: IEEE Access

    • Year: 2024

Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things”

    • Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed

    • Journal: IEEE Access

    • Year: 2024

Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems

    • Authors: M. Bezoui, A. Kermali, A. Bounceur, S.M. Qaisar, A.T. Almaktoom

    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    • Year: 2024

Hybrid Metaheuristics for Industry 5.0 Multi-Objective Manufacturing and Supply Chain Optimization

    • Authors: M. Bezoui, A.T. Almaktoom, A. Bounceur, S.M. Qaisar, M. Chouman

    • Journal: 21st International Learning and Technology Conference: Reality and Science Fiction in Education, L and T 2024

    • Year: 2024

Multiple criteria decision-making for determining the optimal wind farm site under uncertainty

    • Authors: A.T. Almaktoom, M.M. Samkari

    • Journal: International Journal of Critical Infrastructures

    • Year: 2024

 

Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Posted on by ScienceFather

Dr. Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Imperial College London | United Kingdom

Publication Profile

Scopus

Orcid

Google Scholar

👨‍🔬 Summary

Dr. Benjamin H. W. Teo is a dedicated researcher with a focus on sustainable energy technologies, adsorption science, and additive manufacturing. Currently a UKRI Postdoctoral Fellow at Imperial College London, he explores solar technology performance and its integration with other renewable systems. Dr. Teo’s research also extends to polymer crystallization, Metal-Organic Frameworks (MOFs), and their applications in energy systems. With over 18 published journal articles and several international conference presentations, he has become a leading expert in his field, combining theoretical modeling with practical, industry-oriented solutions to address climate change.

🎓 Education

Dr. Teo completed his Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), Singapore (2014-2019). His doctoral research focused on the green synthesis and modulation of MOFs to enhance water adsorption properties for cooling applications. Prior to this, he earned a Bachelor’s degree in Mechanical Engineering with First Class Honours from NTU (2011-2014), and a Diploma in Mechatronics from Temasek Polytechnic, Singapore (2006-2009).

💼 Professional Experience

Dr. Teo’s professional career has been marked by key roles in leading institutions. As a UKRI Postdoctoral Fellow at Imperial College London (Sep 2023 – Present), he investigates solar cell performance in combination with sustainable technologies and conducts advanced heat transfer simulations. From 2019 to 2023, he worked as a Research Fellow at Nanyang Technological University, leading studies on polymer crystallization in additive manufacturing and contributing to industry collaborations. He also held the role of Project Officer (2019) at NTU, where he conducted extensive research on water adsorption in MOFs and zeolites for cooling system applications.

📚 Academic Cites & Publications

Dr. Teo has contributed extensively to the academic community with 18 journal publications, including 10 as the first author. His work covers topics such as MOF-based adsorption cooling systems and additive manufacturing, with publications in prestigious journals like Applied Thermal Engineering and Journal of Industrial and Engineering Chemistry. His research has garnered significant attention, evidenced by citations in high-impact journals. He has also shared his findings at numerous international conferences, including as an invited keynote speaker.

🛠️ Technical Skills

Dr. Teo possesses a wide range of technical skills, including material characterization techniques like X-ray diffraction (XRD), BET nitrogen adsorption, and scanning electron microscopy (SEM). He is proficient in computational modeling, utilizing Grand Canonical Monte Carlo (GCMC) simulations, phase-field modeling, and thermodynamic frameworks via MATLAB. His expertise also extends to additive manufacturing, where he studies polymer crystallization, melt flow viscosity, and their implications for 3D printed materials.

👩‍🏫 Teaching Experience

Dr. Teo has a strong background in teaching, currently serving as a Graduate Teaching Assistant at Imperial College London (Apr 2024 – Present), where he leads revision lectures and tutorials on Fluid Mechanics. He also volunteered as a Tutor at Nanyang Technological University (Aug 2022 – May 2023), receiving exceptional student feedback. As a Research Mentor, he has guided over 30 students through their final-year projects, with many achieving high academic success. Additionally, he taught Gas Turbine Engine Labs and other courses during his time at NTU, earning recognition for his effective teaching.

🔬 Research Interests

Dr. Teo’s research interests include sustainable energy technologies, particularly solar photovoltaic systems and their integration with other green technologies. He is also deeply involved in additive manufacturing, especially in studying polymer crystallization and its impact on the mechanical properties of 3D printed materials. Additionally, his work in adsorption science focuses on the development of MOFs for water adsorption and cooling applications, aiming to enhance energy efficiency and contribute to climate change mitigation strategies.

📚 Top Notes Publications

Mesoscale simulations of spherulite growth during isothermal crystallization of polymer melts via an enhanced 3D phase-field model

    • Authors: Weidong Li, How Wei Benjamin Teo, Kaijuan Chen, Jun Zeng, Kun Zhou, Hejun Du

    • Journal: Applied Mathematics and Computation

    • Year: 2023

Investigation of polyamide 12 isothermal crystallization through the application of the phase‐field model

    • Authors: How Wei Benjamin Teo, Van Thai Tran, Kaijuan Chen, Kim Quy Le, Hejun Du, Jun Zeng, Kun Zhou

    • Journal: Polymers for Advanced Technologies

    • Year: 2023

Effects of build positions on the thermal history, crystallization, and mechanical properties of polyamide 12 parts printed by Multi Jet Fusion

    • Authors: H. W. B. Teo

    • Journal: Virtual and Physical Prototyping

    • Year: 2022

Non-isothermal crystallization behaviour of polyamide 12 analogous to multi-jet fusion additive manufacturing process

    • Authors: H. W. B. Teo

    • Journal: Polymer

    • Year: 2021

Experimental and modeling investigation on the viscoelastic-viscoplastic deformation of polyamide 12 printed by Multi Jet Fusion

    • Authors: H. W. B. Teo

    • Journal: International Journal of Plasticity

    • Year: 2021

Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

Posted on by ScienceFather

Mr. Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

Birmingham City University United Kingdom | United Kingdom

PUBLICATION PROFILE

Orcid

Google Scholar

👩‍⚕️ Mr. Emmanuel Adesuyi – Nurse Educator and Researcher

Emmanuel Adesuyi is a dedicated and passionate academic in the nursing and healthcare profession. As a Doctoral Researcher and Lecturer at Birmingham City University, he combines his love for teaching with rigorous research in the field of nursing and midwifery education. He is committed to evidence-based teaching and the development of curricula that empower nursing and midwifery students. Emmanuel’s academic journey is driven by his goal of fostering continuous learning and contributing to global health through research and policy development.

🎓 Education & Qualifications

Emmanuel is currently pursuing a Doctor of Philosophy (PhD) in Nursing at Birmingham City University, with a focus on teaching and learning in digital spaces in nursing and midwifery education. His academic background includes a Master of Public Health (MPH) from Ladoke Akintola University of Technology, Nigeria, and a Bachelor of Nursing Science (BNSc) degree. He has also completed postgraduate training in research practice and has received certification in leadership and teaching techniques for higher education.

💼 Professional Experience

Emmanuel has a diverse range of professional experiences. He currently holds a full-time position as a Doctoral Researcher and Lecturer at Birmingham City University, contributing to research and curriculum development. He has also worked as a Staff Nurse in various healthcare settings, including Thornbury Nursing Service, Leighton Hospital, and University College Hospital in Nigeria, where he provided patient care in orthopaedics, neurosurgery, and emergency departments.

📝 Research & Scholarly Activity

Emmanuel’s research interests are focused on improving healthcare through education and policy. He is currently working on several projects, including exploring the effectiveness of nursing and midwifery curricula across the WHO-Afro region and studying the impact of digital spaces on teaching and learning. His ongoing research includes studies on HIV/AIDS medication adherence, childhood diarrhea management, and primary healthcare system determinants.

🏆 Grants & Awards

Emmanuel has been awarded several prestigious grants, including a research grant from the Phi Mu Chapter of Sigma Theta Tau Nursing Society, a fully funded fellowship in Global Nurse Leadership by the Global Nursing Leadership Institute, and a grant funded by the WHO and ICN for his project on standardizing nursing and midwifery education in the WHO-Afro region.

🌍 Volunteer & Community Activities

In addition to his academic and professional roles, Emmanuel is deeply committed to community service. He is the Chief Executive Officer of the Institute of Nursing Research, Nigeria, a not-for-profit organization he co-founded in 2016. He has been instrumental in guiding nurses in their research endeavors, promoting evidence-based practices, and providing leadership in various community outreach projects.

📚 Teaching Engagement & Contributions

Emmanuel actively engages with students at various levels, offering both guidance and expertise. He contributes to the teaching of nursing students across different stages of their education at Birmingham City University, including supervising research projects and leading practical and theoretical modules in nursing care.

Emmanuel’s dedication to teaching, research, and healthcare policy development reflects his commitment to enhancing the nursing profession globally. Through his diverse roles and ongoing initiatives, he strives to make a meaningful impact on both education and healthcare delivery. 🌍

📚 Top Notes Publications 

Stigmatization, Medication Adherence and Resilience Among Recently Diagnosed People Living With HIV/AIDS (PLWHA): A Mixed‐Method Study

    • Authors: Emmanuel O. Adesuyi, Cynthia A. Attah, Oluwatosin A. Ige, Confidence C. Attamah, Khadijah A. Jimoh, Opeoluwa O. Olabode, Oluwadamilare Akingbade, Ayobami O. Adeagbo, Rafiat Akinokun, Esther Ilesanmi et al.

    • Journal: Public Health Challenges

    • Year: 2025

Determinants of implementation of evidence-based practice in clinical decision-making among nurses in primary health care facilities in Ondo State, Nigeria

    • Authors: Opeoluwa Oluwatoyin Olabode, Funmilayo A. Okanlawon, Yetunde Olufunmilayo Tola, Emmanuel O. Adesuyi, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Knowledge and Perception of Nursing Students in Nigeria towards Research: A Cross-Sectional Study

    • Authors: Elizabeth Olayimika Awoniyi, Oluwadamilare Akingbade, Caroline Oyebola Ajiboye, Glory Uleko Idigbe, Chioma Joy Eze, Victoria Damilola Adediran, Israel Opeyemi Fawole, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Perceived impact of graduate nurses’ internship program on nursing practice in Nigeria

    • Authors: Afeez Adeshina Suleiman, Rafiat Akinokun, Damilare Jonathan Arowolo, Elisha Oluwatobi Olabisi, Emmanuel O. Adesuyi, Omowunmi Ajiboye, Aduragbemi Oluwapelumi Ogunleye, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Utilisation of Insecticide-treated Net and its Associating Factors in the Prevention of Malaria Among Pregnant Women Attending a Nigerian Antenatal Clinic

    • Authors: D.C Marindoti, B.N Ogunyinka, S.A Ayoola, C.U Samuel, A.O Popoola, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

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

Posted on by ScienceFather

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

Universidad Autónoma de Madrid | Spain

PUBLICATION PROFILE

Scopus

Orcid

INTRODUCTION 👩‍🔬

Dr. Isabel Lastres-Becker is an Associate Professor at the Universidad Autónoma de Madrid, specializing in biochemistry and neurodegenerative diseases. With over 20 years of research experience, her scientific work primarily focuses on the molecular mechanisms of neurodegeneration, including oxidative stress, neuroinflammation, and proteinopathies. Her contributions span several neurodegenerative disorders, including Parkinson’s disease, Alzheimer’s, ALS, and Huntington’s disease.

EARLY ACADEMIC PURSUITS 🎓

Dr. Lastres-Becker completed her Licenciatura en Ciencias Químicas (Bachelor’s degree in Chemistry) with a specialization in Biochemistry from Universidad Complutense de Madrid in 1997. She later earned her PhD in Biochemistry in 2003 from the same institution, with a focus on neurodegenerative diseases. Her doctoral research was awarded the prestigious European mention.

PROFESSIONAL ENDEAVORS 👩‍🏫

Throughout her career, Dr. Lastres-Becker has held various academic and research positions. She is currently an Associate Professor at the Universidad Autónoma de Madrid since October 2021, after having previously served as a Ramón y Cajal researcher and Postdoctoral Researcher in Spain and Germany. Her experience in both the academic and research environments has greatly contributed to her expertise in neurodegenerative diseases.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lastres-Becker’s research contributions have had a significant impact on the understanding of neurodegenerative diseases. Her work has focused on various aspects:

  • Cannabinoid System in Huntington’s Disease: Dr. Lastres-Becker explored how the dysregulation of the endogenous cannabinoid system affects Huntington’s disease. Her work laid the groundwork for clinical trials examining the neuroprotective effects of cannabinoids.
  • Parkinson’s Disease: She demonstrated how cannabinoid receptors, particularly CB1, are involved in neuroinflammation in Parkinson’s disease, and her research suggested potential therapeutic targets for modulating microglial activity.
  • Ataxin-2 in Spinocerebellar Ataxia: She was the first to identify the role of ataxin-2 in metabolism and protein synthesis, as well as its involvement in SCA2 neurodegeneration.
  • NRF2 Transcription Factor: Dr. Lastres-Becker’s research on NRF2 has revealed its central role in neurodegenerative diseases. She showed how NRF2’s involvement in inflammatory processes could be a therapeutic target, particularly in the context of Parkinson’s disease and tauopathies.
  • Neuron-Glia Communication: In Alzheimer’s disease, Dr. Lastres-Becker identified how neurons with overexpressed TAU protein release fractalkine (CX3CL1), triggering neuroinflammation and tau-related neurodegeneration.

IMPACT AND INFLUENCE 🌍

Dr. Lastres-Becker’s research is not only impactful within the academic sphere but also in the broader scientific and clinical communities. She serves as an external collaborator with several research groups and is a reviewer for high-impact scientific journals. Additionally, her collaborations with international research agencies and companies have advanced the therapeutic exploration of neurodegenerative diseases.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Lastres-Becker has authored more than 65 publications, contributing significantly to neurodegenerative disease research. Some of her high-impact publications include studies on the cannabinoid system, NRF2 modulation, and tauopathies, with her work frequently cited in the fields of neurobiology and pharmacology. These studies have not only contributed to scientific knowledge but have also provided the foundation for potential clinical therapies.

HONORS & AWARDS 🏆

Throughout her career, Dr. Lastres-Becker has received numerous awards and grants, including funding from the Spanish Ministry of Science and Innovation. Her work has been recognized through various prestigious research projects aimed at studying and developing therapeutics for Parkinson’s disease, ALS, and Alzheimer’s disease.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking ahead, Dr. Lastres-Becker continues to contribute to the advancement of therapeutic strategies for neurodegenerative diseases. She is currently involved in various cutting-edge research projects focused on the roles of NRF2, cannabinoids, and proteostasis. Her future work aims to bridge the gap between preclinical discoveries and clinical applications, ultimately improving treatment outcomes for patients with these devastating conditions.

TOP NOTES PUBLICATIONS 📚

Model organisms for investigating the functional involvement of NRF2 in non-communicable diseases
    • Authors: A.I. Rojo, B. Buttari, S. Cadenas, I.P. Trougakos, A.T. Dinkova-Kostova
    • Journal: Redox Biology
    • Year: 2025
Investigation in the cannabigerol derivative VCE-003.2 as a disease-modifying agent in a mouse model of experimental synucleinopathy
    • Authors: S. Burgaz, E. Navarro, S. Rodríguez-Carreiro, E.E. Muñóz, J.J. Fernández-Ruiz
    • Journal: Behavioral and Brain Functions
    • Year: 2024
Beneficial Effect of Dimethyl Fumarate Drug Repositioning in a Mouse Model of TDP-43-Dependent Frontotemporal Dementia
    • Authors: I. Silva-Llanes, R. Martín-Baquero, A. Berrojo-Armisen, E. De Lago, I. Lastres-Becker
    • Journal: Antioxidants
    • Year: 2024
Biomarkers of NRF2 signalling: Current status and future challenges
    • Authors: C. Morgenstern, I. Lastres-Becker, B.C. Demirdogen, A. Cuadrado, I.M. Copple
    • Journal: Redox Biology
    • Year: 2024
RIPK1 expression and inhibition in tauopathies: implications for neuroinflammation and neuroprotection
    • Authors: I. Silva-Llanes, E. Madruga, A.R. Martínez, I. Lastres-Becker
    • Journal: Frontiers in Neuroscience
    • Year: 2024

fuyou guo | Behavioral Economics Research | Best Scholar Award

Posted on by ScienceFather

Assoc Prof Dr. fuyou guo | Behavioral Economics Research | Best Scholar Award

Qufu Normal University, China

Author Profile

Orcid

🎓 Early Academic Pursuits

Assoc Prof Dr. Fuyou Guo began his academic journey with a deep interest in economics, specifically the behavioral aspects that influence decision-making processes. His early academic years were spent at [university name], where he obtained his undergraduate and graduate degrees in economics. It was during his studies that Dr. Guo developed a keen interest in understanding how psychological factors shape economic choices, which laid the groundwork for his future research in behavioral economics.

💼 Professional Endeavors

After completing his studies, Dr. Guo entered the professional world, initially engaging in research roles that allowed him to delve deeper into the intricacies of behavioral decision-making. His professional trajectory took a significant turn when he joined Qufu Normal University, where he is currently an associate professor. His transition from theory to application in the context of behavioral economics has allowed him to bridge the gap between academic research and real-world economic phenomena, shaping policies and practices.

🔍 Contributions and Research Focus

Dr. Guo’s primary research interest lies in behavioral economics, where he explores how psychological insights can inform and explain economic decision-making. His research examines cognitive biases, social preferences, and individual behaviors that deviate from traditional economic models. By combining insights from psychology with economic theory, Dr. Guo has contributed to a better understanding of how people make financial decisions, engage in market behaviors, and respond to incentives in various contexts. His work often involves the use of experimental methods, aiming to test theoretical predictions against real-world behavior.

🌍 Impact and Influence

As a respected figure in the field of behavioral economics, Dr. Guo’s research has had a profound impact on both academic circles and practical applications. His work has been cited extensively in behavioral economics journals and by scholars exploring the intersection of psychology and economics. Through his research, Dr. Guo has influenced policymakers, businesses, and financial institutions in understanding consumer behavior and improving market outcomes. His insights have shaped strategies in consumer protection, market regulation, and public policy, where understanding irrational behavior is crucial.

📑 Academic Cites

Dr. Guo has authored numerous influential papers in behavioral economics, with his work being cited by scholars worldwide. His research on has appeared in high-impact journals, further cementing his reputation as a thought leader in his field. The consistent citation of his work reflects the practical importance and academic value of his contributions to the understanding of human behavior in economic contexts.

🖥️ Technical Skills

Dr. Guo’s technical expertise includes proficiency in advanced data analysis techniques, such as econometrics, experimental design, and statistical modeling. He is skilled in using tools such as R, Stata, and SPSS for analyzing behavioral data. His ability to design and conduct laboratory and field experiments has been instrumental in testing behavioral theories and uncovering new insights into how people make economic decisions. His technical skills are crucial in providing empirical evidence that supports or challenges existing economic models.

👨‍🏫 Teaching Experience

Dr. Guo has a wealth of teaching experience at Qufu Normal University, where he has instructed a variety of courses in economics, particularly focusing on behavioral economics, microeconomics, and decision theory. His teaching methodology combines theoretical foundations with real-world applications, ensuring students not only understand core principles but also the relevance of economics in everyday decision-making. Dr. Guo encourages critical thinking, problem-solving, and active engagement with the material. His dedication to student development is reflected in his guidance to graduate students working on research projects related to behavioral economics.

🌟 Legacy and Future Contributions

Dr. Guo’s legacy in behavioral economics is defined by his innovative approach to understanding human decision-making. His pioneering work has not only contributed to the academic body of knowledge but has also influenced policy, market design, and business strategy. As behavioral economics continues to grow as a field, Dr. Guo is poised to remain at the forefront, exploring new areas of research such as behavioral finance, social welfare, and global economic development. His future contributions will likely further transform the way economists, policymakers, and businesses understand human behavior, ensuring his enduring impact on both the academic community and broader society.

🚀 Future Directions

Looking ahead, Dr. Guo plans to expand his research into new dimensions of behavioral economics, focusing on topics such as digital decision-making, neuroscience and economics, and sustainability in economic behavior. His work in these areas could have significant implications for how markets evolve in response to rapidly changing technology and global challenges. Through collaboration with international scholars and institutions, Dr. Guo is likely to continue pushing the boundaries of the field and creating new opportunities for interdisciplinary research.

 

Top Noted Publications 📖

Intensity of Tourism Economic Linkages in Chinese Land Border Cities and Network Characterization

Authors: Jing Gan, Dongxue Zhang, Fuyou Guo, Erwei Dong

Journal: Sustainability

Year: 2024

Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China

Authors: Jiamin Ren, Chenrouyu Zheng, Fuyou Guo, Hongbo Zhao, Shuang Ma, Yu Cheng

Journal: International Journal of Environmental Research and Public Health

Year: 2022

Spatio-temporal Differentiation and Driving Factors of Industrial Ecology of Restricted Development Zone from Adaptive Perspective: A Case Study of Shandong, China

Authors: Fuyou Guo, Siqi Gao, Lianjun Tong, Fangdao Qiu, Hengzhou Yan

Journal: Chinese Geographical Sciences

Year: 2021

Eco-Province Construction Performance and Its Influencing Factors of Shandong Province in China: From Regional Eco-Efficiency Perspective

Authors: Zhengju Jiang, Fuyou Guo, Cai Liping, Xiaoxiao Li

Journal: Sustainability

Year: 2021