Ahmad Badeenezhad | Environmental Health | Environmental Engineering Award

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Dr. Ahmad Badeenezhad | Environmental Health | Environmental Engineering Award

Ahmad Badeenezhad, Behbahan faculty of medical sciences, Iran

Ahmad Badeenezhad is an Assistant Professor in Environmental Health Engineering at Behbahan University of Medical Sciences. With a Ph.D. in Environmental Health Engineering from Shiraz University of Medical Sciences (2020), he specializes in the impact of environmental pollutants on human health. Dr. Badeenezhad has a strong academic and professional background, having worked for over a decade in various environmental health projects, particularly related to air and water quality. His extensive research explores heavy metals, air pollution, and their effects on public health, and he is actively involved in teaching, mentoring, and community outreach. His work contributes significantly to public health improvement and environmental sustainability, with a focus on human biomonitoring and risk assessment.

Profile

Scopus

Education

Dr. Ahmad Badeenezhad holds a Ph.D. in Environmental Health Engineering from Shiraz University of Medical Sciences (2020). His doctoral thesis investigated the impact of short-term exposure to PM10 and PM2.5, bound heavy metals, and their effects on central nervous system biomarkers during dust storms. He completed his Master’s degree (2011) in Environmental Health Engineering from Iran University of Medical Sciences, focusing on factors affecting nitrate concentrations in Shiraz groundwater using Geographic Information Systems (GIS). His undergraduate degree (2007) in Environmental Health Engineering was earned at Ahvaz Jundishapur University of Medical Sciences. His strong academic foundation, coupled with research experience in environmental health, has enabled him to contribute greatly to improving public health and sustainability through interdisciplinary studies on air quality, water pollution, and human health risk assessments.

Experience

Dr. Ahmad Badeenezhad has accumulated over 11 years of expertise in environmental health. He began his career as an expert at Shiraz Health Center, contributing to community health initiatives and public health assessments. In 2020, he transitioned into academia as an Assistant Professor at Behbahan University of Medical Sciences, where he is responsible for teaching and guiding students in the field of environmental health engineering. His teaching includes courses on environmental chemistry, water treatment, air pollution, radiation hygiene, and health food management, among others. Dr. Badeenezhad is a prolific researcher with numerous publications and international conference papers related to environmental health. His research spans areas such as water quality, air pollution, heavy metals, and human health risk assessments, with a focus on improving public health systems and developing mitigation strategies for environmental pollutants.

Awards and Honors

Dr. Ahmad Badeenezhad has earned recognition for his outstanding academic achievements. He secured the five-rank position in the entrance exam for his Master’s in Environmental Health Engineering in 2008, showcasing his commitment to excellence. His achievements continued through his Ph.D. studies, where he ranked first in the Ph.D. entrance exam for Environmental Health Engineering in 2016 and graduated as the top Ph.D. candidate from Shiraz University of Medical Sciences in 2020. His dedication to environmental health has garnered him various awards, including honors for his exceptional research in public health, environmental pollution, and water safety. These honors reflect his significant contributions to advancing the scientific understanding of environmental health and his leadership in promoting public health through education and research.

Research Focus

Dr. Ahmad Badeenezhad’s research primarily focuses on the human health risk assessment of chemical pollutants, particularly in relation to water and air quality. His work involves evaluating the health impacts of heavy metals, particulate matter (PM), and other contaminants in ambient air. He also examines the chemical quality of water resources, using advanced methodologies like Geographic Information Systems (GIS) and Monte Carlo simulation to assess risks related to nitrates, fluoride, and other pollutants in drinking water. A significant part of his research involves human biomonitoring, where he studies the effects of environmental pollutants on the human body, particularly on the central nervous and cardiovascular systems. Dr. Badeenezhad is committed to improving public health through interdisciplinary studies aimed at mitigating the adverse effects of environmental pollutants and developing strategies for sustainable, healthy living environments.

Publication Top Notes

  1. Nitrite and Nitrate Concentrations in the Drinking Groundwater of Shiraz City, South-central Iran by Statistical Models 📊💧
  2. Health Risk Assessment to Fluoride and Nitrate in Drinking Water of Rural Residents Living in Bardaskan City, Arid Region, Southeastern Iran 💧🔬
  3. Performance of Household Water Desalination Devices and Health Risks Assessment of Fluorides (F−) and Nitrate (NO3−) in Behbahan City Southwest Iran 🌊⚗️
  4. Factors Affecting Nitrate Concentration and Its Health Risk Assessment in Drinking Groundwater by Application of Monte Carlo Simulation and Geographic Information System 📉🌍
  5. Assessing Fluoride and Nitrate Contaminants in Drinking Water Resources and Their Health Risk Assessment in Southwest Iran 💧⚠️
  6. Estimation of the Groundwater Quality Index and Investigation of the Affecting Factors Their Changes in Shiraz Drinking Groundwater, Iran 💧🔍
  7. Efficiency of Activated Carbon and Clinoptilolite Particles Coated with Iron Oxide Magnetic Nanoparticles in the Removal of Methylene Blue 🧪🌿
  8. Removal of Methylene Blue Dye from Aqueous Solutions by Natural Clinoptilolite and Clinoptilolite Modified by Iron Oxide Nanoparticles 🧬💧
  9. Analysis of the Microbial Quality in Drinking Water Distribution Networks Using the Logistic Regression Model in Dasht-e Azadegan County, Iran 🔬🚰
  10. Modeling and Optimizing Pyrene Removal from the Soil by Phytoremediation Using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm 🌱💻

 

 

Naveed Iqbal | Geosciences | Best Researcher Award

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Mr. Naveed Iqbal | Geosciences | Best Researcher Award

Geophysical Specialist, Petro-Explorers Inc, Canada

Naveed Iqbal is a passionate geophysicist with over 8 years of industry experience. He holds a Master’s degree in Geophysics and Geology, with expertise in seismic data interpretation, reservoir analysis, and geophysical data integration. Naveed has worked across several international projects and has contributed significantly to the geoscience field through innovative research and advanced data analysis techniques. He is proficient in various software, including Petrel, SeisWare, and OpendTect, and has a strong background in machine learning and Python programming.

Profile

Google Scholar

Education

Naveed holds a Master of Science in Geology from the University of Regina (2023) and in Geophysics from Quaid-i-Azam University (2013). He is also certified in Data Analytics, Python programming, and Machine Learning Foundations from institutions like SAIT and Amii. His academic path has been marked by a commitment to furthering his knowledge in both theoretical and applied geoscience. His comprehensive education empowers him to integrate geological and geophysical data for real-world applications and innovations in geoscience.

Experience

Naveed has extensive geoscience experience in seismic data interpretation, reservoir analysis, and hydraulic fracturing operations. At Petro-Explorers Inc., he specializes in seismic mapping and geophysical data integration. He also worked at ShearFRAC on real-time hydraulic fracturing analysis. He has contributed to major research projects, including studying sedimentological and reservoir properties of the Winnipeg Formation. His past roles at Parex Resources and Shaw Petroleum Consulting highlight his diverse expertise in geophysical data processing, reservoir characterization, and core analysis.

Awards and Honors

Naveed’s academic and professional excellence has been recognized with numerous awards, including the NSERC Master’s Scholarship, Master’s Award 2023, and the University of Regina Graduate Scholarship. He was also honored with the Graduate Teaching Assistantship Award in both 2020 Fall and Winter. His commitment to research has been further acknowledged through scholarships such as the LWV Graduate Scholarship and the Association of Exploration Geochemists Scholarship.

Research Focus

Naveed’s research focuses on sedimentology, reservoir characterization, and geophysical data integration, specifically within the Winnipeg Formation. His recent projects have explored the reservoir properties of the Black Island Member, which hold potential for hydrocarbon exploration and CO2 storage. His work in seismic geomorphology and interpretation aims to advance understanding of depositional systems and improve resource management strategies. He combines traditional geoscience methodologies with machine learning techniques to enhance the accuracy and efficiency of his research.

Publications

  • “Sedimentologic properties and depositional setting of the Black Island Member of the Late Ordovician Winnipeg Formation, Southeastern Saskatchewan” 📄
  • “Ferruginous sandstone in Late Ordovician Winnipeg Formation, SE Saskatchewan: sedimentary properties and their genetic implications” 📄
  • “Sedimentologic and lithostratigraphic properties and reservoir characterization of the Winnipeg Formation, Southern Saskatchewan” 📄
  • “Sandstone Reservoir Characterization and Its Capacity for Subsurface CO2 Capture and Storage: A Case Study of the Black Island Member of the Winnipeg Formation” 📄
  • “Seismic geomorphology and interpretation of the Cretaceous system, Penobscot Prospect, Sable Island, Canada” 📄
  • “Volumetric distribution and reservoir analysis of the Late Ordovician Black Island Member of the Winnipeg Formation, Southeastern Saskatchewan” 📄

 

 

Dr. Manami Yamaguchi | Dentistry | Best Researcher Award

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Dr. Manami Yamaguchi | Dentistry | Best Researcher Award

D.D.S, Kanagawa dental University, Japan

Dr. Manami Yamaguchi is a promising orthodontist and researcher, currently completing her Master’s Program in Orthodontics at Kanagawa Dental University, Japan. She obtained her Bachelor of Dentistry from Meikai University School of Dentistry in 2021. Through her rigorous clinical and academic training, Dr. Yamaguchi has developed a keen interest in orthodontic treatment planning and skeletal growth analysis. Her research focuses on predicting final mandibular length using the cervical vertebrae, offering critical insights for more accurate and personalized orthodontic care. Dr. Yamaguchi is dedicated to advancing the orthodontic field, both through her research and her clinical practice, with an aspiration to mentor the next generation of orthodontists and researchers. Her membership in the Japanese Orthodontic Society further underpins her commitment to staying at the forefront of orthodontic science.

Profile

Orcid

Education

Dr. Manami Yamaguchi’s educational journey began at Meikai University School of Dentistry, where she earned her Bachelor of Dentistry in 2021. Building on this foundation, she pursued advanced studies at Kanagawa Dental University, where she is currently enrolled in the Master’s Program in Orthodontics, expecting to graduate in March 2024. Throughout her academic career, Dr. Yamaguchi has excelled in her studies, consistently demonstrating a strong aptitude for orthodontics and a deep interest in skeletal growth analysis. Her time at Meikai University and Kanagawa Dental University has equipped her with both theoretical knowledge and hands-on experience, enabling her to undertake cutting-edge research in predicting final mandibular length. This blend of strong academic training and research experience positions Dr. Yamaguchi as an emerging leader in the field of orthodontics.

Experience

Dr. Manami Yamaguchi’s clinical experience includes a year-long postgraduate clinical training at Showa University Dental Hospital, which took place from 2021 to 2022. During this time, she gained valuable hands-on experience in various orthodontic procedures, working alongside renowned professionals in the field. This clinical exposure allowed her to hone her skills in diagnosing and treating orthodontic conditions, particularly those related to skeletal growth. At Kanagawa Dental University, Dr. Yamaguchi has continued to integrate her clinical expertise with academic pursuits, focusing on patient-centered care and innovative treatment planning. Her clinical experience has also played a crucial role in shaping her research, particularly in the area of mandibular growth prediction. Dr. Yamaguchi’s unique ability to combine theoretical knowledge with real-world clinical practice ensures that her research directly impacts patient care and advances orthodontic science.

Research Focus

Dr. Yamaguchi’s research primarily focuses on orthodontics, with a special emphasis on skeletal growth analysis and the prediction of mandibular growth. Her current study, titled “A New Method of Predicting Final Mandibular Length Based on the Morphology of Cervical Vertebrae”, aims to improve the accuracy of orthodontic treatment planning by forecasting the final growth trajectory of the mandibular region based on cervical vertebral maturation. This novel approach integrates clinical examination with advanced diagnostic techniques to provide a more accurate prediction of growth patterns, leading to more personalized treatment plans for patients. Through this research, Dr. Yamaguchi seeks to bridge the gap between orthodontic science and clinical practice, offering tools that will allow practitioners to plan more effective treatments. Her work holds great promise for advancing the field of orthodontics, contributing to both scientific understanding and clinical excellence.

Publication Top Notes

  • A New Method of Predicting Final Mandibular Length Based on the Morphology of Cervical Vertebrae – Diagnostics 2024, 14(24), 2879 📚

 

 

Mostafa Elgayar | Depression Detection and Diagnosis | Best Researcher Award

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Dr. Mostafa Elgayar | Depression Detection and Diagnosis | Best Researcher Award

Assistant Professor, Mansoura University and Egypt

Mostafa Mahmoud El-Gayar is an Assistant Professor in Information Technology at Mansoura University, Egypt. He holds expertise in Cyber Security, Internet of Things (IoT), Image Processing, Computer Vision, and Machine Learning. He is recognized for his contributions to enhancing security measures in IoT systems, developing intelligent frameworks for machine learning, and deep learning applications in various domains. El-Gayar has made significant strides in the detection of phishing attacks, heart disease prediction, and the detection of deep fake videos. His work is highly regarded for its practical implications in modern technology, and his research continues to influence both academic and industrial communities. He is actively engaged in researching solutions for cybersecurity challenges, including IoT botnet detection, anomaly detection, and semantic-based search engines. El-Gayar’s extensive publication record reflects his significant impact on technology and innovation.

Profile :

Google Scholar

Education :

Mostafa Mahmoud El-Gayar completed his academic journey at Mansoura University, Egypt, where he earned his undergraduate and postgraduate degrees in Computer Science and Information Technology. His academic career is defined by a deep commitment to exploring the intersection of machine learning, artificial intelligence, and cybersecurity. El-Gayar has published extensively in prestigious journals and conferences, earning recognition for his research contributions. His doctoral research focused on areas like image processing, machine learning applications, and their impact on real-world security challenges. Throughout his career, he has continuously engaged in advanced studies to refine his knowledge and skills in the rapidly evolving domains of artificial intelligence and cybersecurity. As an academic leader, El-Gayar mentors students and researchers, fostering an environment of intellectual growth and innovation in his field. His educational foundation, coupled with his ongoing academic pursuits, positions him as a prominent figure in his areas of research.

Experience:

Dr. Mostafa Mahmoud El-Gayar has a distinguished career as an academic professional and researcher, currently serving as an Assistant Professor in Information Technology at Mansoura University, Egypt. His experience spans teaching, research, and consulting in cutting-edge areas of computer science, particularly focusing on cybersecurity, machine learning, and Internet of Things (IoT). Dr. El-Gayar has been actively involved in several research projects aimed at developing innovative solutions for real-world security problems, including IoT botnet attack detection, heart disease prediction, and deep fake detection. He has collaborated with numerous researchers and practitioners from both academia and industry, contributing to the development of advanced algorithms and frameworks. His work has had a significant impact on the academic community, as evidenced by his numerous high-citation publications in top-tier journals and conferences. In addition to his research, Dr. El-Gayar actively participates in academic mentoring, teaching courses, and supervising postgraduate students.

Research Focus :

Dr. Mostafa Mahmoud El-Gayar’s research focus lies at the intersection of Cyber Security, Machine Learning, Internet of Things (IoT), Image Processing, and Computer Vision. His work aims to address some of the most pressing challenges in modern computing, including anomaly detection, phishing attack mitigation, and deep fake video detection. El-Gayar is particularly interested in enhancing the security of IoT networks through the development of robust machine learning-based intrusion detection systems (IDS). He also explores semantic search engines, leveraging advanced algorithms to improve search accuracy and ranking using deep learning techniques. Additionally, El-Gayar is involved in innovative healthcare solutions, such as heart disease prediction using hybrid classifiers and genetic algorithms. His research contributes to safety, privacy, and efficiency across diverse fields, and he continues to push the boundaries of knowledge with his cutting-edge, interdisciplinary research.

Publication Titles :

  • A Comparative Study of Image Low-Level Feature Extraction Algorithms 📷
  • HDPF: Heart Disease Prediction Framework Based on Hybrid Classifiers and Genetic Algorithm ❤️🧬
  • Enhanced Search Engine Using Proposed Framework and Ranking Algorithm Based on Semantic Relations 🔍🔗
  • Enhancing IoT Botnets Attack Detection Using Machine Learning-IDS and Ensemble Data Preprocessing Technique 📡💻
  • Efficient Proposed Framework for Semantic Search Engine Using New Semantic Ranking Algorithm 🔎🧠
  • A Novel Approach for Detecting Deep Fake Videos Using Graph Neural Network 🎥🤖
  • Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems 🚁📶
  • Detection Technique and Mitigation Against a Phishing Attack 🔒💻
  • A Computerized System for SEMG Signals Analysis and Classification 🧠📊
  • Comparative Study Between Metaheuristic Algorithms for IoT Wireless Nodes Localization 🌐🔍
  • Semantic Pneumonia Segmentation and Classification for Covid-19 Using Deep Learning Network 🦠💻
  • Intelligent System for Ranking Big Data in Search Engine 📊🔍
  • Automatic Generation of Image Caption Based on Semantic Relation Using Deep Visual Attention Prediction 🖼️🧠
  • A Novel Model for Securing Seals Using Blockchain and Digital Signature Based on QR Codes 🔐📱
  • A Novel Knowledge-Based Semantic Search Engine 🔍🧠
  • Smart Collaborative Intrusion Detection System for Securing Vehicular Networks Using Ensemble Machine Learning Model 🚗🛡️
  • Efficient Real-Time Anomaly Detection in IoT Networks Using One-Class Autoencoder and Deep Neural Network 🖥️💡
  • Novel Biomarkers for Colorectal Cancer Prediction 🎗️🧬
  • A Novel Model for Securing Seals Using Blockchain and Digital Signature Based on Quick Response Codes 🔐📲

 

Menglu Liang | Bayesian methods | Best Researcher Award

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Dr. Menglu Liang | Bayesian methods | Best Researcher Award

Assistant Professor, University of Maryland, United States

Dr. Menglu Liang is an Assistant Professor of Biostatistics at the University of Maryland, with a strong background in biostatistics, epidemiology, and public health. Her journey into the field of biostatistics began during her studies at Johns Hopkins University, where she first encountered survival analysis in large cohort studies. Dr. Liang’s academic and research career has focused on developing advanced statistical models for real-world health challenges, particularly in the areas of cardiovascular disease, cancer, and public health. She has received extensive training at prestigious institutions, including Beijing University of Chinese Medicine, Peking University, Johns Hopkins University, the University of Minnesota, and Penn State University. Her work has resulted in numerous impactful publications in top-tier journals, and she is highly regarded for her interdisciplinary collaborations with clinicians, epidemiologists, and statisticians to address pressing health issues.

Profile

Education

Dr. Menglu Liang completed her undergraduate studies in Preventive Medicine at Beijing University of Chinese Medicine, graduating in 2011. She further pursued a Master’s degree in Public Health (MPH) from Peking University, Beijing, in 2014. Her passion for applying statistical methods in public health led her to Johns Hopkins University, where she earned a Master of Science in Epidemiology in 2016. Dr. Liang’s academic path continued with a Master of Science in Statistics from the University of Minnesota in 2019, and she earned her PhD in Biostatistics from Penn State University in 2023. Her doctoral research, titled “Modeling and Dynamic Prediction for Recurrent Time-to-event Data with Competing Risks,” focused on advanced Bayesian techniques for survival analysis and statistical modeling. Dr. Liang’s education across multiple disciplines and prestigious institutions has provided her with a comprehensive foundation in biostatistics, epidemiology, and public health.

Experience

Dr. Menglu Liang has built an impressive academic and professional career, culminating in her current position as an Assistant Clinical Professor of Biostatistics at the University of Maryland. Prior to this, she gained invaluable experience as a Graduate Assistant at Penn State University (2019–2023) and the University of Minnesota (2018–2019), where she developed advanced statistical models and conducted research on cardiovascular disease and clinical epidemiology. Dr. Liang’s early career included roles at Johns Hopkins University, where she worked as a Data Analyst (2016–2017) and a Graduate Assistant (2015–2016), contributing to significant research in epidemiology and biostatistics. Throughout her career, she has demonstrated a commitment to collaborative research and statistical consulting, working closely with clinicians and researchers to tackle complex health issues. Dr. Liang has also served as a mentor to students and researchers, providing guidance in statistical modeling, data analysis, and scientific writing.

Awards and Honors

Dr. Menglu Liang has received numerous awards and honors that recognize her outstanding contributions to biostatistics and public health research. In 2022, she was awarded the prestigious Travel Award by the International Chinese Statistical Association, highlighting her commitment to advancing statistical methods in health research. She was also the recipient of the Statistical Significance Award in the JSM Statistical Significance Competition, which acknowledges innovative research in statistical methodology. Dr. Liang’s scholarly achievements have been recognized through her publications in top-tier journals, where her work on dynamic prediction models and Bayesian statistical methods has garnered significant attention. She has presented her research at various national and international conferences, demonstrating her leadership in advancing the application of statistical techniques to public health and clinical research. Her consistent recognition underscores her academic excellence and her ability to contribute to high-impact research in the field.

Research Focus

Dr. Menglu Liang’s research focuses on the application of advanced statistical methods to public health, epidemiology, and clinical research. Her primary areas of interest include survival analysis, Bayesian hierarchical modeling, and the development of dynamic prediction models for recurrent time-to-event data with competing risks. Her work often integrates complex statistical methods with real-world data to address key health challenges, particularly in cardiovascular disease, cancer, and public health policy. Dr. Liang is particularly interested in the intersection of statistical modeling and clinical research, where she collaborates with clinicians and epidemiologists to improve predictive models and decision-making processes. She has also applied Bayesian network meta-analysis techniques in dental research and developed spatial-temporal models to study the effects of extreme heat on health outcomes. Dr. Liang’s research is driven by the goal of making meaningful contributions to public health through the application of innovative statistical techniques to real-world problems.

Publication Top Notes

  1. Association of a Biomarker of Glucose Peaks, 1,5-Anhydroglucitol, With Subclinical Cardiovascular Disease 🩺📊
  2. Tackling Dynamic Prediction of Death in Patients with Recurrent Cardiovascular Events 💓🔍
  3. Bayesian Network Meta-Analysis of Multiple Outcomes in Dental Research 🦷📈
  4. A Spatial-Temporal Bayesian Model for Case-Crossover Design with Application to Extreme Heat and Claims Data 🌡️📉

 

 

Jinxu Yang | Power electronics | Best Researcher Award

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Dr. Jinxu Yang | Power electronics | Best Researcher Award

postdoctoral, ZJU-Hangzhou Global Scientific and Technological Innovation Center, China

Jinxu Yang is a Postdoctoral researcher at the ZJU-Hangzhou Global Scientific and Technological Innovation Center in Hangzhou, Zhejiang Province. He completed his bachelor’s degree at Shandong University in 2014 and earned his PhD in Electrical Engineering from Zhejiang University in 2022. With a robust academic foundation, he is at the forefront of power electronics research, particularly focusing on the optimization of high-frequency resonant converters and the design of high-efficiency magnetic components. Throughout his career, he has made notable contributions to both theoretical and applied aspects of power electronics, evidenced by numerous published articles and patents. His work bridges the gap between academia and industry, collaborating on national R&D projects, including those related to high-performance power supplies, energy storage systems, and on-board chargers. Jinxu Yang is recognized for his innovative approach and continues to push the boundaries of power electronics technology.

Profile

Google Scholar

Education

Jinxu Yang pursued his higher education in Electrical Engineering, beginning with a bachelor’s degree from Shandong University, which he completed in 2014. During his time at Shandong University, Jinxu laid the groundwork for his deep interest in power electronics. He went on to earn his PhD from Zhejiang University in 2022, where he specialized in the optimization of high-frequency resonant converters and the design of magnetic components. His doctoral research focused on enhancing power electronics systems by addressing critical issues such as size reduction, efficiency improvement, and the mitigation of leakage magnetic fields in magnetic integration. His academic journey was marked by a combination of rigorous theoretical learning and practical research applications, preparing him to become an active contributor to advancements in the field of power electronics. Today, as a postdoctoral researcher, he continues to build on his academic foundation to push forward innovative solutions in this area.

Experience

Jinxu Yang has accumulated significant experience in the field of power electronics, particularly focusing on high-frequency resonant converters and magnetic integration. After completing his PhD at Zhejiang University in 2022, he joined the ZJU-Hangzhou Global Scientific and Technological Innovation Center as a postdoctoral researcher. His involvement in major national R&D projects has allowed him to apply his knowledge to real-world solutions, including projects in server power supplies, on-board chargers (OBC), and household energy storage systems. Additionally, Jinxu’s work spans multiple industry-academia collaborations, such as developing a 600W communication power supply and a 6.6kW OBC power supply. His consultancy experience further expands his impact, advising on high-performance power supply systems. With 13 journal publications, 5 patents, and significant participation in international conferences, his contributions are well recognized in the scientific community. His career reflects a commitment to both innovation and practical, scalable solutions in the power electronics sector.

Research Focus

Jinxu Yang’s research primarily focuses on optimizing high-frequency resonant converters in power electronics, with particular attention to magnetic components and integration techniques. He has made significant advancements in improving the efficiency, size, and performance of power conversion systems, while addressing challenges such as leakage magnetic fields. His work in power electronics spans multiple areas, including topology and control optimization, high-frequency operation, and the design of magnetic components that enhance system efficiency. Through the development of novel integration methods, Jinxu has been able to reduce the size of magnetic components without sacrificing performance, creating solutions that are both compact and highly efficient. Additionally, his research explores advanced control schemes to optimize the operation of power converters, such as zero-voltage switching (ZVS) and soft switching techniques. By focusing on high-frequency resonant converters and their integration with magnetic components, Jinxu is contributing to the evolution of power supply technology, particularly for applications in energy storage, communications, and automotive sectors.

Publications Top Notes

  • A simplified real-time digital control scheme for ZVS four-switch buck–boost with low inductor current
  • External magnetic field minimization for the integrated magnetics in series resonant converter
  • A novel ZVS Control Scheme for Four-Switch Resonance Inverting bidirectional buck-boost DC/DC Converter for 5G-RF Power Amplifier
  • Suppressing methods of common-mode noise in LLC resonant DC-DC converters
  • Modeling and design of integrated inductor and transformer considering superposed flux density in on-board-charger
  • Linearized ZVS control scheme of a resonant four-switch buck-boost DC/DC converter for inverting voltage solution applications
  • Soft switching control for a resonant four-switch inverting buck-boost DC/DC converter with wide voltage range
  • High Density Planar Integrated Magnetics with Two-sided Merged Inductor Windings and Integrated Cores for Resonant DC/DC Converter
  • High Density Planar Integrated Magnetics with Two-sided Merged Inductor Windings and Cores for Resonant DC/DC Converter
  • Analysis and design considerations for an improved BCM buck AC-DC LED driver with high output voltage and low total harmonic distortion

 

 

Joao Proenca | Sustainability | Excellence in Research

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Prof. Dr. Joao Proenca | Sustainability | Excellence in Research

Full Professor, University of Porto, Portugal.

João F. Proença, born in Coimbra, Portugal, on April 21, 1963, is a renowned Full Professor at the University of Porto’s School of Economics and Management. He is also the President of the Scientific Department of Business and Management at the University of Porto. Proença’s career spans academia and business leadership, with past roles including Rector of Universidade Europeia and Chief Academic Officer for Laureate International Universities in Portugal. He has held several leadership positions, such as Dean of the School of Economics and Management at the University of Porto. Proença has published over 150 research papers and has been a Visiting Researcher at prestigious institutions worldwide. In addition to his academic achievements, he has also led business operations as CEO and Chairman in various commercial and industrial firms, contributing to both the academic and business communities. He specializes in Marketing, Business Management, and Services Management.

Profile :

Orcid

Scopus

Google scholar

Education :

João F. Proença’s academic journey began with a Bachelor’s in Business and Management Studies from Universidade Católica Portuguesa, Lisbon (1986). He then earned a Master’s in Marketing and Commercial Management from IE Business School in Madrid, Spain (1991), graduating second in his class. Proença further advanced his studies with a PhD in Business Studies from the University of Porto (1999), receiving unanimous approval for his dissertation. He later achieved the title of “Agregação” in Business Studies from the same institution in 2008, a required qualification for a full professor role in Portugal. His educational achievements have laid the foundation for his successful academic career and extensive research in business and management. Proença is committed to fostering excellence in education and research, mentoring students and scholars globally. His academic background plays a pivotal role in shaping his contributions to higher education, business practices, and management studies.

Experience :

João F. Proença boasts an extensive career in both academia and business leadership. As a Full Professor at the University of Porto’s School of Economics and Management, he has held key academic positions, including Director of multiple degree programs and Chairman of the Scientific Board. He was the Dean of the University of Porto’s School of Economics and Management (2010-2015), where he contributed to the institution’s high standing in international rankings. Proença also served as Rector of Universidade Europeia, overseeing multiple campuses, and as Chief Academic Officer for Laureate International Universities in Portugal. In addition to his academic career, Proença has significant business experience, having held executive roles such as CEO and Chairman at companies within the Probos Group, now part of H.B. Fuller. His leadership in business and education has shaped his approach to management and services studies, demonstrating a unique blend of academia and industry expertise.

Research Focus :

João F. Proença’s research primarily revolves around Marketing, Business Management, and Services Management. His work delves into the dynamics of service quality, consumer behavior, and sustainable business practices, with a focus on examining how companies can improve customer relations and operational efficiency. Proença is also interested in the intersection of sustainability and business, particularly in how businesses can integrate sustainable practices into their operations. His research explores innovative service strategies, value co-creation, and the role of business models in promoting long-term sustainability. Additionally, Proença has a particular focus on the influence of technology and digital transformation in services management. He has published numerous articles on service marketing, consumer behavior, and sustainability, contributing valuable insights to the academic community. Proença’s global collaborations and visiting researcher roles at various universities further enrich his research, creating a broader perspective on contemporary challenges in business and management.

Publications:

  1. Sustainable Campus Operations in Higher Education Institutions: A Systematic Literature Review 🌱🎓
  2. The Influence of Perceived Risk on Mobile Shopping Cart Abandonment 📱🛒
  3. How Farmers Present a Sustainable Product to Socially Responsible Consumers—An Approach to Local Organic Agriculture 🌾🌍
  4. The Influence of Service Quality on the Consulting Relationship 🤝💼
  5. The Influence of Sustainability on Psychological Ownership in Services Based on Temporary Access ♻️💡
  6. Determinants of the Purchase of Secondhand Products: An Approach by the Theory of Planned Behaviour 🔄🛍️
  7. Motivations for Peer-to-Peer Accommodation: Exploring Sustainable Choices in Collaborative Consumption 🏠🤝
  8. Sustainability in the Coffee Supply Chain and Purchasing Policies: A Case Study Research ☕🌍
  9. The Use of Positive and Negative Appeals in Social Advertising: A Content Analysis of Television Ads for Preventing HIV/AIDS 📺⚖️
  10. Tourism Co-Creation in Place Branding: The Role of Local Community 🏞️👥

Samaneh Abdi Qezeljeh | Energy and Sustainability | Best Researcher Award

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Ms. Samaneh Abdi Qezeljeh | Energy and Sustainability | Best Researcher Award

PhD Researcher, Technische Universität Darmstadt, FG SLA, Germany

Samaneh Abdi Qezeljeh is a passionate researcher in the field of mechanical engineering, currently pursuing her Ph.D. at the Technical University of Darmstadt. With a solid academic background and a CGPA of 17.51/20 in her Master’s studies, she has made notable contributions to fluid mechanics, heat transfer, and energy conservation. Samaneh’s research interests encompass fluid-structure interaction (FSI), computational fluid dynamics (CFD), turbulence, bio-mechanics, and numerical simulations. Throughout her academic career, she has earned recognition for her excellent performance, ranking 5th in her Master’s cohort and 3rd in her Bachelor’s program. Her work has been published in high-impact journals such as Energies and the International Journal of Multiphase Flow. Samaneh is also highly skilled in various engineering software, including Comsol Multiphysics, Ansys-Fluent, and SolidWorks. Alongside her research, she has tutored undergraduate and graduate students at the University of Tabriz.

Profile

Education

Samaneh Abdi Qezeljeh obtained her Bachelor’s degree in Mechanical Engineering from Seraj Higher Education Institute, Tabriz, Iran, where she ranked 3rd in her class. She excelled academically with a CGPA of 17.63/20 (excluding thesis) and earned a thesis grade of 19.75/20. Her thesis focused on Incompressible Flow Simulation in a Backward-Facing Step with an Elastic Wall, highlighting her expertise in computational fluid dynamics (CFD). Samaneh continued her academic journey by pursuing a Master of Science (M.Sc.) in Mechanical Engineering with a focus on Energy Conservation at the University of Tabriz, where she achieved a CGPA of 17.51/20. Her Master’s thesis, titled “Investigation of Different Fluids on the Performance of Organic Rankine Cycle with and Without Preheater,” reflects her research interests in energy systems. Currently, she is enrolled in the Ph.D. program at Technical University of Darmstadt, focusing on fluid mechanics and thermal load peak treatment.

Experience

Samaneh Abdi Qezeljeh has gained valuable practical experience through her internship at I.D.E.M Co. (Iranian Diesel Engine Manufacturing Co.), where she worked in the Research and Development (R&D) department from July to August 2017. During this internship, Samaneh was involved in the design and modification of engines, particularly focusing on optimizing engine performance. This hands-on experience enhanced her understanding of real-world mechanical engineering challenges and deepened her knowledge of energy systems. In her academic career, Samaneh has contributed to the advancement of fluid mechanics and energy conservation research at the Technical University of Darmstadt. As a Ph.D. student, she is currently working on the study of thermal load peak treatment in turbulent aerosol flows. She has also tutored undergraduate and graduate students at the University of Tabriz, focusing on SolidWorks and CFD software, sharing her expertise and mentoring future engineers.

Research Focus

Samaneh Abdi Qezeljeh’s research focuses primarily on fluid mechanics, heat transfer, and energy systems, with a particular emphasis on computational fluid dynamics (CFD) and fluid-structure interaction (FSI). Her work also explores bio-mechanics, turbulence modeling, and numerical simulations to address real-world engineering problems. As a Ph.D. candidate at the Institute for Fluid Mechanics and Aerodynamics at Technical University of Darmstadt, Samaneh’s current research project, titled “Study of Thermal Load Peak Treatment in the Air Gap Utilizing Turbulent Aerosol Flows”, is investigating ways to optimize thermal performance in energy systems. Her previous work on the Organic Rankine Cycle has further solidified her interest in energy conservation techniques and sustainable energy solutions. Samaneh has also studied incompressible fluid flows in her Master’s thesis and has explored advanced fluid simulations, focusing on the interaction between fluids and structural elements.

Publication Top Notes

 

 

José Maria Rodrigues da Luz | Fermentation and Sensory Analysis | Outstanding Scientist Award

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Dr. José Maria Rodrigues da Luz | Fermentation and Sensory Analysis |Outstanding Scientist Award

Postdoctorate, FEDERAL UNIVERSITY OF VIÇOSA, Brazil

José Maria Rodrigues da Luz is a distinguished Brazilian biochemist, microbiologist, and researcher. He holds a Ph.D. in Agricultural Microbiology from Universidade Federal de Viçosa (UFV), Brazil, and currently holds a postdoctoral position at the same institution. With an extensive academic background, José Maria has contributed significantly to the fields of biochemistry and microbiology, focusing on fungi, mycorrhizal interactions, and biotechnological applications. His work in microbiology and biochemistry has garnered international recognition. He has also held teaching positions at Universidade Federal de Alagoas and Instituto Federal de Educação, Ciência e Tecnologia. His research interests center around environmental sustainability, such as utilizing fungi for biodegradation and waste management. Furthermore, his expertise extends to agricultural applications, including the development of biotechnological processes for enhancing coffee and mushroom production.

Profile

Education

José Maria Rodrigues da Luz has a robust academic foundation in Biological Sciences. He completed his undergraduate degree in Biochemistry from Universidade Federal de Viçosa (UFV), Brazil, in 2007. He went on to earn a Master’s and Ph.D. in Agricultural Microbiology at UFV, under the mentorship of Maria Catarina Megumi Kasuya. His Ph.D. research, which earned him a grant from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), delved into the biodegradation of plastics and lignocellulolytic enzymes, with a focus on developing sustainable agricultural solutions. In addition to his primary education, José Maria pursued postdoctoral studies at UFV, expanding his research on fermentation processes and microbiology applications in agriculture, environmental sustainability, and biotechnology. These postdoctoral opportunities were funded by prominent agencies like CAPES and CNPq, reflecting his continued commitment to advancing knowledge in his field.

Experience

José Maria Rodrigues da Luz has amassed a wealth of experience in both academia and research. His professional career includes roles at Universidade Federal de Alagoas (UFAL), where he worked as a visiting professor, imparting knowledge in fields such as agroecology, biochemistry, and microbiology. Additionally, he has contributed significantly to research projects at UFV, focusing on areas such as fungal biotechnology, biodegradation, and environmental sustainability. He has been involved in several research projects exploring the potential of fungi, such as Pleurotus ostreatus, for waste management and agricultural applications. Furthermore, José Maria has collaborated on projects examining microbial diversity in coffee production and the biotechnological processes involved. His extensive research output and involvement in teaching have cemented his reputation as an expert in his field. He has also held managerial positions at TecnMol, a civil association in biochemistry, further diversifying his experience in the scientific community.

Research Focus

José Maria Rodrigues da Luz’s research focuses on the intersection of biochemistry, microbiology, and environmental sustainability. His primary areas of interest include the use of fungi, such as Pleurotus ostreatus and Pisolithus, in the degradation of waste, particularly plastic materials and agricultural residues. His work emphasizes the application of lignocellulolytic enzymes and the biotechnological potential of mycorrhizal fungi in improving agricultural sustainability. Additionally, he is involved in the fermentation processes of coffee, exploring the microbial communities and their role in enhancing the sensory quality of the coffee beverage. José Maria’s research also covers the bioactivity of compounds like ergosterol and β-glucan produced by fungi, as well as the development of green polymers from lignocellulosic materials. His work in sustainable waste management, biodegradation, and improving food and agricultural production underscores his commitment to finding innovative solutions to global environmental and agricultural challenges.

Publication

  1. Genetic diversity of the fungal community that contributes to the sensory quality of coffee beverage after carbonic maceration and fermentation 🍄☕
  2. Intestinal microbial diversity of swines fed with different sources of lithium 🐖🔬
  3. Arbuscular mycorrhizal fungi community in coffee cultivation under different agroforestry management systems in the Maciço de Baturité region, Brazil 🌱🌍
  4. Mid-infrared spectroscopy and physicochemical analyses in the characterization of coffee roasting stages 🔬☕
  5. Chemical and sensorial profile of Coffea arabica cultivars fermented by different post-harvest processing methods ☕🔬
  6. Production of milk-coagulating protease by fungus Pleurotus djamor through solid-state fermentation using wheat bran as the low-cost substrate 🍄🧀
  7. Diversity of potential nitrogen-fixing bacteria from rhizosphere of Coffea arabica L. and Coffea canephora L. 🌱🔬
  8. Production, characterization, and application of a new chymotrypsin-like protease from Pycnoporus sanguineus 🍄💧
  9. Bacterial community and sensory quality from coffee are affected along fermentation under carbonic maceration 🍵🍄
  10. Lentinula edodes lignocellulolases and lipases produced in Macaúba residue and use of the enzymatic extract in the degradation of textile dyes 🍄🌿

 

 

Anatolij Prykarpatski | supersymmetric models of quantum physics | Excellence Award (Any Scientific field)

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Prof. Dr. Anatolij Prykarpatski | supersymmetric models of quantum physics | Excellence Award (Any Scientific field)

Prof. Dr. Anatolij Prykarpatski, Lviv Polytechnic National University, Ukraine

Anatolij K. Prykarpatsky is a prominent Ukrainian mathematician and physicist, specializing in mathematical physics. He holds a Ph.D. and Habilitation degree in Mathematics and Physics. With a distinguished career as a full professor at Lviv Polytechnic National University in Ukraine, he has contributed extensively to applied mathematics, mathematical physics, and dynamical systems. Prof. Prykarpatsky has been a visiting professor at renowned institutions like the New Jersey Institute of Technology (USA), Massachusetts Institute of Technology (MIT), and Hacettepe University (Turkey). His work spans differential equations, algebraic methods, quantum mathematics, and nonlinear dynamical systems. Fluent in several languages, including English, Polish, and Russian, his contributions are recognized globally, having collaborated with researchers across Europe, the USA, and Russia. His dedication to teaching and research makes him a respected figure in the field of mathematical physics.

Profile :

Orcid 

Education :

Anatolij K. Prykarpatsky earned his Master’s degree in Physics from Ivan Franko Lviv State University in 1975. He later pursued a graduate program in Mathematical Physics at the Institute of Mathematics of the National Academy of Sciences of Ukraine, where he completed his Ph.D. in 1980. His dissertation focused on the integrability of ordinary Riccati and partial differential equations in mathematical physics. In 1987, he received his Habilitation degree, with a thesis on nonlinear dynamical systems of statistical and mathematical physics. His academic journey was further enriched through research at the Laboratory of Theoretical Physics at the Joint Institute for Nuclear Research in Dubna, Russia. Prof. Prykarpatsky’s advanced studies have shaped his multidisciplinary expertise in mathematics and physics, enabling him to explore complex systems and contribute significantly to scientific advancements in various fields, including quantum mathematics and dynamical systems.

Experience :

Prof. Anatolij K. Prykarpatsky has a distinguished academic career, serving as a full professor in the Department of Computational Mathematics at Lviv Polytechnic National University, Ukraine, since 1995. His international experience includes multiple visits as a professor to prestigious institutions such as the New Jersey Institute of Technology (USA), Massachusetts Institute of Technology (MIT), and Hacettepe University (Turkey). His teaching expertise covers a range of courses in mathematical physics, dynamical systems, algebra, and operator theory. He has advised numerous graduate and Ph.D. students across Europe, Ukraine, and Russia. His involvement in various international collaborations, alongside his extensive research background, has earned him a reputation as a leading figure in his field. Throughout his career, Prof. Prykarpatsky has made significant contributions to the development of mathematical theories and applied methodologies, particularly in nonlinear dynamics and quantum mathematics, establishing a solid academic legacy.

Awards and Honors :

Anatolij K. Prykarpatsky has received several prestigious awards in recognition of his groundbreaking work in mathematics and physics. In 1982, he was honored with a Diploma from the National Academy of Sciences (NAS) in Mathematical Physics, Kyiv. He received the Ostrovsky Republican Award in Science and Technology in 1984. In 2003, he was awarded the Silver Order “For the Service” by the President of the Polish Republic. Prof. Prykarpatsky’s scientific excellence was further recognized by the Western Scientific Centre of NAS of Ukraine in 2003. In 2009, he received the N. Bogolubov Award in Statistical and Mathematical Physics from NAS Ukraine. In 2019, he was awarded the prestigious State Prize in Science and Technology of Ukraine. These accolades reflect his significant contributions to the advancement of scientific knowledge, particularly in the fields of nonlinear dynamical systems, mathematical physics, and quantum mathematics.

Research Focus :

Prof. Anatolij K. Prykarpatsky’s research focuses on a wide range of topics within mathematical physics, emphasizing nonlinear dynamical systems, quantum mathematics, and differential geometric methods. His work in dynamical systems theory explores the mathematical properties and integrability of complex systems, particularly through functional-operator methods. He also investigates the role of algebraic structures in mathematical physics, with particular interest in Lie groups and algebras. His exploration of quantum mathematics in computer science has led to contributions in the areas of quantum deformations, statistical physics, and integrable Hamiltonian systems. Prof. Prykarpatsky’s research also extends into applied mathematics, including operator theory, ergodic theory, and mathematical analysis. His approach combines rigorous mathematical frameworks with practical applications, making significant strides in understanding the behavior of physical systems. His recent work has explored the supersymmetry of integrable systems, conformal Lie superalgebras, and related quantum mechanical structures.

Publications Titles with Emojis:

  1. On Superization of Nonlinear Integrable Dynamical Systems 📊🔬
  2. Some Remarks on the Inverse Problem in the Variational Calculus 🧩📐
  3. On Superization of Nonlinear Integrable Dynamical Systems (Preprint) 🔄💡
  4. Supersymmetric Integrable Hamiltonian Systems and Their Factorized Semi-Supersymmetric Generalizations 🌀🔒
  5. On Some Aspects of the Courant-Type Algebroids and Integrable Systems ⚙️📚
  6. On the Quantum Deformations of Associative Sato Grassmannian Algebras 🧪🧬
  7. Раціональна факторизація гамільтонових потоків 🔬🌐
  8. Symplectic Geometry Aspects of the Kardar–Parisi–Zhang Equation 🏛️🌪️
  9. Special Issue Editorial “Symmetry of Hamiltonian Systems” 📘📈
  10. Dark Type Dynamical Systems: The Integrability Algorithm 🌑🧮
  11. Quantum Current Algebra in Action 🔮⚡
  12. Entropy and Ergodicity of Boole-Type Transformations 🔄📉
  13. On the Finite Dimensionality of Closed Subspaces 🔢📐
  14. On the Bogolubov’s Chain of Kinetic Equations 🔗📉
  15. Quantum Current Algebra Symmetry and Description of Kinetic Equations 🧬💥