Farag Altalbawy | Organic Chemistry | Best Researcher Award

Published on by World Top Scientists

Prof. Dr. Farag Altalbawy | Organic Chemistry | Best Researcher Award

Prof. Dr. University of Tabuk, Saudi Arabia

Prof. Dr. Farag M. A. Altalbawy is a distinguished professor of Photoorganic Chemistry with a wealth of experience spanning academia and research. Born on August 23, 1966, in Giza, Egypt, he currently holds a professorial position at the University of Tabuk, Saudi Arabia, while also being associated with Cairo University, Egypt. His research spans various fields including organic chemistry, heterocyclic chemistry, spectroscopic chemistry, and nanotechnology. Prof. Altalbawy has authored numerous impactful papers in well-regarded journals and continues to explore the intersection of chemistry and emerging technologies. With a passion for advancing the understanding of chemical processes and the development of new materials, his contributions to science have had a lasting effect in both academic and practical domains. He holds a Ph.D. from Cairo University, where he has been involved in teaching, mentoring, and guiding future scientists.

Profile

Education 

Prof. Dr. Farag M. A. Altalbawy’s academic journey reflects his dedication to advancing scientific knowledge. He earned his Ph.D. in Organic Chemistry from Cairo University in 2005, which laid the foundation for his career as an expert in chemical research. Prior to that, he obtained his M.Sc. from Monify University in 2001, focusing on chemistry and its applications. His educational journey began at Cairo University, where he graduated with a Bachelor’s degree in 1988, earning Distinction for his exceptional academic performance. Prof. Altalbawy’s strong educational background has equipped him with the expertise to explore various branches of chemistry, including photoorganic, physical, and heterocyclic chemistry, while continuously contributing to the scientific community through research and teaching. His advanced academic degrees and extensive experience have shaped his leadership in both academic institutions and research projects.

Research Focus 

Prof. Dr. Farag M. A. Altalbawy’s research focus is rooted in organic chemistry, particularly in the areas of heterocyclic chemistry, spectroscopic chemistry, and nanotechnology. His work delves into the synthesis, characterization, and application of chemical compounds, particularly those with pharmaceutical significance. One of his key areas of interest is the development of dendrimers and nanoparticles as new drug carriers, with an emphasis on their therapeutic potential in drug delivery systems. He is also deeply engaged in exploring the photoorganic chemistry of molecular compounds, particularly the interactions between light and organic molecules. Prof. Altalbawy’s interdisciplinary research spans a wide array of topics such as nanocarriers for pharmaceuticals, antimicrobial agents, and environmental applications, including his studies on carbon capture and clean energy technologies. His ongoing research is at the forefront of developing sustainable chemical solutions that can benefit both science and society.

Publication Titles 

  1. Dendrimers: A New Race of Pharmaceutical Nanocarriers 🧬💊
  2. Curcumin Nanoparticles as Promising Therapeutic Agents for Drug Targets 💡🧪
  3. Regret-Based Multi-Objective Optimization of Carbon Capture Facility in CHP-Based Microgrid with Carbon Dioxide Cycling 🌍⚡
  4. Synthesis and Characterization of Some New Bis-Pyrazolyl-Thiazoles Incorporating the Thiophene Moiety as Potent Anti-Tumor Agents 🧫💉
  5. Synthesis and Tautomeric Structure of Novel 3,7-Bis(Arylazo)-2,6-Diphenyl-1H-Imidazo-[1,2-b] Pyrazoles in Ground and Excited States 🔬⚛️
  6. Synthesis and Antimicrobial Evaluation of Some Novel Bis-α,β-Unsaturated Ketones, Nicotinonitrile, 1,2-Dihydropyridine-3-Carbonitrile, Fused Thieno[2,3-b]Pyridine 🦠💊
  7. Infection Pattern, Case Fatality Rate and Spread of Lassa Virus in Nigeria 🦠🌍
  8. Synthesis and Tautomeric Structure of 3,7-Bis(Arylazo)-6-Methyl-2-Phenyl-1H-Imidazo[1,2-b]Pyrazoles in Ground and Excited States 🔬💡
  9. Synthesis, Acidity Constants and Tautomeric Structure of 7‐Arylhydrazono [1, 2, 4] Triazolo [3, 4‐b][1, 3, 4] Thiadiazines in Ground and Excited States 🔬🧪
  10. Numerical Assessment of the Impacts of Non-Newtonian Nanofluid and Hydrophobic Surfaces on Conjugate Heat Transfer and Irreversibility in a Silicon Microchannel Heat-Sink 🌡️🔧
  11. Synthesis and Antimicrobial Evaluation of Some New Pyrazole, Fused Pyrazolo[1,5-a] Pyrimidine and Pyrazolo[1,5-d]Pyrimido[4,5-d][1,2,3] Triazine Derivatives 🦠⚛️
  12. Employing Sisko Non-Newtonian Model to Investigate the Thermal Behavior of Blood Flow in a Stenosis Artery 💉💡
  13. Descriptive Analysis of Heavy Metals Content of Beef from Eastern Uganda and Their Safety for Public Consumption 🥩🌍
  14. Synthesis, Characterization, and Biological Activity of Some Transition Metal Complexes with Schiff Base Ligands Derived from 4-Amino-5-Phenyl-4H-1,2,4-Triazole-3 🔬⚗️
  15. Synthesis and Antimicrobial Activity of 1,2,4-Triazolo[4,3-b][1,2,4,5]Tetrazines 🦠💊
  16. Ultrasound-Promoted Metal-Free Homogenous Olefins Epoxidation and Direct Conversion of Alkenes to Cyclic Carbonates Using Catalytic TAIm [X](X= WO42-, HSO5-) Recyclable Ionic 🔬⚡
  17. Smartphone-Facilitated Mobile Colorimetric Probes for Rapid Monitoring of Chemical Contaminations in Food 📱🔬
  18. Effect of Porosity on the Electrical and Photoelectrical Properties of Textured n+ p Silicon Solar Cells ☀️⚡
  19. Synthesis, Characterization, and Antimicrobial Evaluation of Novel 5-Benzoyl-N-Substituted Amino- and 5-Benzoyl-N-Sulfonylamino-4-Alkylsulfanyl-2-Pyridones 💉🧫
  20. The Roles of Artificial Intelligence Techniques for Increasing the Prediction Performance of Important Parameters and Their Optimization in Membrane Processes 🤖🔬

Karthikeyan P | Deeplearning | Best Paper Award

Published on by World Top Scientists

Dr. Karthikeyan P | Deeplearning | Best Paper Award

Associate Professor, RV University, India

Dr. P. Karthikeyan is an Associate Professor at the School of Computer Science and Engineering, RV University, Bengaluru, with extensive expertise in Cloud Computing, Deep Learning, and Blockchain. With over 50 published research papers in international journals and conferences, Dr. Karthikeyan has significantly contributed to advancing knowledge in computer science. He has delivered over 30 talks and conducted workshops on emerging technologies, emphasizing practical applications of cloud infrastructure, deep learning, and programming. Throughout his career, he has worked with governmental projects in Taiwan and Saudi Arabia. His commitment to teaching is driven by his belief in using computer science to uplift society and improve lives. He is passionate about creating enriching learning experiences for students while fostering a collaborative academic environment.

Profile

Education 

Dr. P. Karthikeyan holds a Ph.D. from Anna University, Chennai (2018), with a focus on improving Virtual Machine instance allocation algorithms in cloud environments. He earned his M.E. in Computer Science & Engineering from Anna University Coimbatore (2009), with an impressive CGPA of 9.36/10.00. His undergraduate studies were completed at Muthayammal Engineering College, Namakkal, where he obtained a B.E. in Computer Science & Engineering (2005) with a percentage of 73%. Additionally, he holds a Diploma in Electrical and Electronics Engineering from Muthayammal Polytechnic College, Namakkal, with a percentage of 87%. Dr. Karthikeyan’s educational foundation laid the groundwork for his future academic and research achievements in the field of computer science, particularly in cloud computing, deep learning, and blockchain technologies.

Experience

Dr. P. Karthikeyan has a rich teaching and research background, currently serving as an Associate Professor at RV University, Bengaluru, since September 2023. He previously held academic positions as Associate Professor at Jain Deemed-to-be University (2021–2022) and Parul University (2020–2021), where he also led the Department of Computer Science and Engineering. Dr. Karthikeyan’s international experience includes serving as a Post-Doctoral Researcher at National Chung Cheng University, Taiwan (2022–2023). His early career includes teaching roles at Presidency University, Bengaluru, and Karunya Institute of Technology and Sciences, Coimbatore, where he shaped the next generation of computer scientists. He has also contributed to the development of significant government projects in Taiwan and Saudi Arabia. Dr. Karthikeyan teaches subjects related to System Software, Cloud Computing, Deep Learning, and Cryptography, while guiding students in advanced research in these areas.

Awards and Honors 

Dr. P. Karthikeyan has been recognized for his exceptional contributions to research and academia. Notably, he received the Best Young Researcher Award (Male) at the 2nd International Academic and Research Excellence Awards (IARE) in 2020, acknowledging his significant research achievements in the field of computer science. His work in cloud computing, deep learning, and blockchain has led to over 50 publications in prestigious journals and conferences, further solidifying his reputation as a leading academic in these fields. Dr. Karthikeyan has also been a key speaker and workshop facilitator, sharing his knowledge in over 30 talks globally. His continued commitment to research and education, coupled with his active involvement in international collaborations and government projects, highlights his contribution to the development of technology and education.

Research Focus 

Dr. P. Karthikeyan’s research interests lie at the intersection of Cloud Computing, Deep Learning, and Blockchain technologies. He focuses on optimizing cloud environments, particularly through virtual machine instance allocation algorithms, and has contributed significantly to enhancing cloud infrastructure. His work in deep learning spans multiple domains, from intrusion detection in IoT environments to applications in medical imaging and intelligent traffic management. Additionally, Dr. Karthikeyan’s research in blockchain explores its use in IoT security, supply chain management, and energy transaction markets. He is also deeply involved in research on federated learning, explainable AI, and blockchain-enabled solutions for privacy and security. Through his research, Dr. Karthikeyan aims to develop socially relevant applications that not only advance academic knowledge but also contribute to solving real-world problems, such as improving supply chain security and advancing sustainable smart grid technologies.

Publications

  1. Hybrid electro search with genetic algorithm for task scheduling in cloud computing – Ain Shams Engineering Journal 🌐📅
  2. Detection of distributed denial of service attack in cloud computing using optimization-based deep networks – Journal of Experimental & Theoretical AI 📉⚡
  3. Blockchain Technology: Challenges and Security issues in Consensus algorithm – International Conference on Computer Communication and Informatics 🔗🔐
  4. A survey on blockchain techniques for Internet of Vehicles security – Transactions on Emerging Telecommunication Technologies 🚗🔒
  5. Review of Blockchain-based IoT application and its security issues – International Conference on Intelligent Computing 🌐🔍
  6. Efficient lightweight privacy-preserving mechanism for Industry 4.0 based on elliptic curve cryptography – IEEE Transactions on Industrial Informatics 🏭🔐
  7. Reinforcement learning integrated in heuristic search for self-driving vehicle using blockchain in supply chain management – International Journal of Intelligent Networks 🚗📊
  8. Seafood supply chain management using blockchain – International Conference on Advanced Computing 🦐🔗
  9. Hybrid optimization scheme for intrusion detection using feature selection – Neural Computing and Applications 🛡️🧠
  10. Perishable food products in cold supply chain management using blockchain technology🌐

Xiaolong Wen | Sensors | Best Researcher Award

Published on by World Top Scientists

Prof. Xiaolong Wen | Sensors | Best Researcher Award

Deputy Director, University of Science and Technology Beijing,China

Xiaolong Wen, Ph.D., is an Associate Professor at the Department of Physics, University of Science and Technology Beijing, China. He specializes in MEMS-based electric field sensors and instrumentation. Dr. Wen holds a Ph.D. from the University of Chinese Academy of Sciences and has had research experiences at prestigious institutions like Tsinghua University and the University of Cambridge. He has led various projects, including the development of high-performance electric field sensors, lightning warning systems, and 3D electric field measurement technologies. His research has contributed significantly to the fields of sensor technology, electrical engineering, and atmospheric research.

Profile 

Education

Dr. Xiaolong Wen completed his Bachelor’s degree in Applied Physics at the University of Science and Technology Beijing in 2009. He then pursued his Ph.D. at the Institute of Electronics, University of Chinese Academy of Sciences, focusing on transducer technology and MEMS sensors. He earned his Ph.D. in 2014. Dr. Wen later conducted postdoctoral research at Tsinghua University’s Institute of Microelectronics from 2014 to 2016, where he worked on advanced electric field sensor technologies. He has also served as a Visiting Scholar at the University of Cambridge, Department of Engineering, from 2023 to 2024, further broadening his research network and expertise in sensor technology.

Experience

 Dr. Xiaolong Wen’s career spans various academic and research roles. He is currently an Associate Professor at the University of Science and Technology Beijing (2022-present). Prior to this, he was a Lecturer in the same department (2017-2022). His postdoctoral research at Tsinghua University’s Institute of Microelectronics focused on MEMS-based sensors, contributing to the development of innovative technologies in electric field sensing. Dr. Wen has served as a core member and project leader in several national research projects, including those funded by the National Natural Science Foundation of China and the National Key Research and Development Plan of China. His research includes leading advancements in the development, mass manufacturing, and application of MEMS electric field sensors, with contributions in lightning hazard warning systems and high-altitude sensors. His expertise is highly recognized in both academic and industrial circles.

Awards and Honors 

Dr. Xiaolong Wen’s work has earned numerous accolades. He won the Top Prize in the China (International) Sensor Innovation Competition in 2014 for his outstanding contributions to sensor technologies. In 2015, he received the 1st Prize in the Beijing Science and Technology Award and the 1st Prize in the Transformation Award of Science and Technology from the Chinese Academy of Sciences, Beijing Branch. In 2022, he was awarded the 3rd Prize in the Chinese Ministry of Education Teaching Instruments Competition for Colleges and Universities, recognizing his excellence in teaching and instrumentation development. He was also honored with the Outstanding Paper Award from the Instrumentation Journal in 2014, a testament to his impactful research in the sensor field. These awards reflect his leadership, innovation, and ongoing contributions to science and technology.

Research Focus 

Dr. Xiaolong Wen’s primary research focus is on the development and application of MEMS (Microelectromechanical Systems) electric field sensors. He leads several national projects, including research into 3D electric field sensors, the noise characterization of microsensors, and the development of highly stable and sensitive sensor technologies. His work addresses critical challenges in atmospheric electricity, lightning hazard warning, and high-altitude electric field measurement systems. Dr. Wen’s research aims to improve the performance, reliability, and manufacturing consistency of MEMS-based sensors, applying these advancements to meteorology, public safety, and environmental monitoring. His innovative work in electric field decoupling algorithms, signal processing circuits, and sensor calibration techniques has advanced the practical application of electric field sensors in diverse real-world scenarios.

Publications

  • “Design, fabrication, and application of an SOI-based resonant electric field microsensor with coplanar comb-shaped electrodes” 📐⚡
  • “A novel MEMS chip-based atmospheric electric field sensor for lightning hazard warning applications” 🌩️🔬
  • “A non-intrusive voltage measurement scheme based on MEMS electric field sensors: Theoretical analysis and experimental verification of AC power lines” ⚡📊
  • “Enhanced sensitivity and stability of a novel resonant MEMS electric field sensor based on closed-loop feedback” 🔧📏
  • “Non-intrusive DC voltage measurement based on resonant electric field microsensors” ⚡📝
  • “Toward atmospheric electricity research: A low-cost, highly sensitive, and robust balloon-borne electric field sounding sensor” 🎈⚡
  • “Measuring method of three-dimensional atmospheric electric field based on coplanar decoupling structure” 🌍⚡
  • “Resolution-enhancing structure for the electric field microsensor chip” 🛠️💡
  • “Three-dimensional electric field measurement method based on coplanar decoupling structure” 🌐⚡
  • “Design of a novel micromachined non-contact resonant voltage sensor for power distribution systems” ⚡🔌
  • “High performance electric field microsensor with combined differential structure” 🔬⚡
  • “A novel MEMS chip-based ground atmospheric electric field sensor” 🌍🌩️
  • “AC/DC fields demodulation methods of resonant electric field microsensor” 📊⚡
  • “Improved microsensor-based fieldmeter for ground-level atmospheric electric field measurements” 🌍🛠️
  • “Computation of capacitance and electrostatic forces for electrostatically driving actuators considering fringe effects” 💡⚙️
  • “A Washable, Permeable, and Ultrasensitive Sn-Based Textile Pressure Sensor for Health Monitoring” 👗💡
  • “Research and development on MEMS-based electric field sensor” 🛠️⚡
  • “Humidity-induced charge leakage and field attenuation in electric field microsensors” 💧⚡
  • “Study on the multiperiod bipolar inductive absolute angle sensor” 🧭🔧
  • “A resonant electrostatic field microsensor with self-compensation for sensitivity drift” 🔄⚡

Prof. Adão M. Sebastião | Sustentabilidade | Best Researcher Award

Published on by World Top Scientists

Prof. Adão M. Sebastião | Sustentabilidade | Best Researcher Award

Prémio de melhor pesquisador, DEGEIT – Departamento de Economia, Gestão, Engenharia Industrial e Turismo – Universidade de Aveiro 3810-193 Aveiro, Portugal / Universidade Privada de Angola, Portugal

Adão Miguel Sebastião is a Senior Accountant and an academic with extensive experience in accounting, auditing, and finance. He holds a Master’s degree in Finance and Financial Markets from the Universidade Gregório Semedo, Angola, and is currently pursuing a PhD in Accounting at the University of Aveiro, Portugal. Adão is a member of the OCPCA and CAPSA in Angola, and has taught at multiple universities. He has worked across various organizations, including El-Corte Inglés in Lisbon and Kixicrédito in Angola. His expertise spans financial analysis, auditing, and accounting systems. Adão is also actively involved in academic research and has presented at several international conferences, contributing to discussions on microfinance, corporate social responsibility, and sustainability. His research aims to bridge the gap between theory and practice, focusing on the Angolan financial sector and broader African economies.

Profile

Google Scholar

Education 

Adão Miguel Sebastião has an impressive academic background, starting with a Bachelor’s degree in Economics and Management, specialized in Accounting and Auditing, from the University Katyavala Bwila, Angola, where he received honorable mention in 2015. He further pursued Postgraduate studies in Pedagogical Aggregation at Instituto Politécnico Maravilha in Benguela, Angola. Adão earned his Master’s degree in Finance and Financial Markets from the Universidade Gregório Semedo, Angola, and is currently completing his PhD in Accounting at the University of Aveiro, Portugal, where he continues his research in financial systems and reporting. His academic journey reflects his commitment to deepening his expertise in finance and accounting, continuously expanding his knowledge and research in the field. Additionally, Adão has enhanced his skills with numerous specialized courses, including Corporate Finance, Financial Risk Analysis, and Microfinance.

Experience 

Adão Miguel Sebastião has extensive professional experience in both the academic and business sectors. He is currently a Senior Accountant and holds various leadership roles, including Head of Finance and Administration at Clínica São Vicente in Lobito. His prior roles include working as an Inventory Technician at El-Corte Inglés in Lisbon, and as an Accountant at Pluse Contas, Lda, also in Lisbon. Adão has also contributed as a Credit Analyst at Kixicrédito and a Senior Accountant at Peripesca, Lda. In addition to his professional experience, Adão has taught as an Assistant Professor in Management Auditing at the University of UPRA and mentored students in various accounting courses. He has been involved in research-oriented projects as a supervisor and trainer in financial management and accounting systems, including workshops and consultancy for local entrepreneurship initiatives in Benguela.

Research Focus 

Adão Miguel Sebastião’s research primarily focuses on the intersection of accounting, finance, and sustainability within emerging economies, especially Angola. His PhD research explores sustainability reporting in Angola, analyzing corporate social responsibility (CSR) practices and their impact on financial disclosures. He also conducts empirical research on the performance determinants of the banking sector in Angola, particularly the financial health and regulatory challenges of local banks. His other research interests include the role of Big Data and artificial intelligence in accounting and auditing, and the application of microfinance in small and medium-sized enterprises (SMEs). Adão actively contributes to academic discussions on financing strategies, financial risks, and auditing techniques, with a strong emphasis on corporate governance and financial transparency. His work aims to improve the effectiveness of financial institutions and governance practices within the African context.

Publications

  • “OS DETERMINANTES DA PERFORMANCE DO SECTOR BANCÁRIO: UM ESTUDO EMPÍRICO NO CONTEXTO ANGOLANO, ENTRE 2012–2020” 📚
  • “Aquisição de financiamento para a continuidade e desenvolvimento das PME” 📊
  • “O Papel da Auditoria na Análise dos Determinantes da Divulgação da Responsabilidade Social Corporativa” 🌍
  • “Estratégias de Financiamento para Potenciar a Investigação em Contabilidade” 💡
  • “Relatório de Sustentabilidade no Contexto Angolano” 🌱
  • “Auditoria Fiscal e Tributária: Importância e sua Aplicação nas Empresas de Benguela” 🧾
  • “Riscos de Crédito e Garantias Financeiras no Setor de Microfinanças” 💳
  • “Microfinanças: Uma das Fontes de Financiamento Eficaz para os Empreendedores em Tempo de Covid-19” 💼

P. P. A. Wasantha Athukorala | Education | Best Researcher Award

Published on by World Top Scientists

Prof. P. P. A. Wasantha Athukorala | Education | Best Researcher Award

Director, PGIHS, University of Peradeniya, Sri Lanka

Dr. Wasantha Athukorala is a distinguished economist and academic, currently serving as the Director of the Postgraduate Institute of Humanities and Social Sciences (PGIHS) at the University of Peradeniya, Sri Lanka. With a career spanning over two decades, Dr. Athukorala has made significant contributions to economics, particularly in agricultural economics, environmental economics, and development studies. He holds a PhD in Economics from Queensland University of Technology, Australia, and has held various teaching and research positions at both national and international institutions. His research addresses vital issues such as irrigation, farm production, energy demand, and climate change, with a focus on empirical analysis. A highly cited researcher, Dr. Athukorala has earned numerous national and international awards, including being ranked the 2nd best economist in Sri Lanka. His contributions have shaped academic thought and policy in Sri Lanka and beyond.

Profile

Education 

Dr. Wasantha Athukorala’s educational journey reflects his commitment to advancing economic research and knowledge. He earned his PhD in Economics from Queensland University of Technology, Australia (2007-2011), with a thesis titled Essays on Irrigation Development, Farm Production, and Unaccounted Costs: Theory and Empirical Evidence. His academic excellence was recognized when his thesis was nominated for an Outstanding Doctoral Thesis Award. Prior to this, he completed an M.Phil. in Agricultural Economics at the University of Peradeniya, Sri Lanka (2001-2004), focusing on Estimation of Household Demand for Electricity in Sri Lanka. He also holds a B.A. First Class (Honours) Degree in Economics from the University of Peradeniya (1996-2000), with a thesis on Profitability and Comparative Advantages of the Rice Growing Sector in Sri Lanka. Dr. Athukorala’s academic training laid the foundation for his substantial contributions to economics and development studies.

Awards and Honors 

Dr. Wasantha Athukorala’s outstanding academic achievements have earned him numerous prestigious awards and honors. He received the Presidential Award for Scientific Research in 2023, recognizing his substantial contributions to the advancement of knowledge in economics. In 2021, he was ranked as the 2nd best economist in Sri Lanka by the AD Scientific Index. Dr. Athukorala has also been awarded the Tier 4* Lifetime Researcher Award in 2022 for his consistent and impactful research output. His work has garnered national recognition, including the National Research Council (NRC) Merit Award for Scientific Publication in 2014. Dr. Athukorala’s dedication to research excellence has also been acknowledged with NCAS Awards for Research in Higher Education in 2006. As a Visiting Fellow at Queensland University of Technology in 2017, he further solidified his reputation as a globally recognized scholar in the field of economics.

Research Focus 

Dr. Wasantha Athukorala’s research spans several critical areas of economics, with a particular emphasis on agricultural economics, environmental economics, and development studies. His work explores the complexities of irrigation development, farm production, and the unaccounted costs associated with these sectors, providing valuable empirical evidence for policymakers and practitioners. His studies have focused on the economic implications of climate change, energy demand, and environmental sustainability, with a specific interest in the socio-economic effects of natural disasters, water demand, and energy pricing policies. Additionally, Dr. Athukorala’s research on the economic impacts of foreign direct investment, agricultural efficiency, and the distributional effects of privatization in developing countries showcases his commitment to addressing real-world economic challenges. He has contributed significantly to the understanding of market distortions, energy policy, and public goods, influencing both academic discourse and policy decisions in Sri Lanka and internationally.

Publications

  • The impact of foreign direct investment for economic growth: A case study in Sri Lanka 📊
  • Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka ⚡
  • Do monetary and non-monetary incentives influence environmental attitudes and behavior? Evidence from an experimental analysis 🌍
  • Reality check: the distributional impact of privatization in developing countries 💼
  • Determinants of health costs due to farmers’ exposure to pesticides: an empirical analysis 🚜
  • Climate change and natural disasters: Government mitigation activities and public property demand response 🌪️
  • A GIS based spatial decision support system for analysing residential water demand: A case study in Australia 💧
  • Household demand for electricity: The role of market distortions and prices in competition policy 💡
  • The impact of foreign direct investment on economic growth in Sri Lanka 📈
  • The impact of mining and smelting activities on property values: A study of Mount Isa city, Queensland, Australia 🏞️
  • Impact of wildfires and floods on property values: A before and after analysis 🔥
  • Measuring the impact of pesticide exposure on farmers’ health and farm productivity 🌾
  • Valuing bushfire risk to homeowners: Hedonic property values study in Queensland, Australia 🔥
  • Effectiveness of two pricing structures on urban water use and conservation: A quasi-experimental investigation 💧
  • Non-discretionary residential water use: The impact of habits and water-efficient technologies 🏠
  • Assessing privatization in Sri Lanka: Distribution and governance 📊
  • Identifying the role of agricultural extension services in improving technical efficiency in the paddy farming sector in Sri Lanka 🌾
  • Willingness to pay to ensure a continuous water supply with minimum restrictions 🚰
  • Groundwater overuse and farm-level technical inefficiency: Evidence from Sri Lanka 🌍
  • Emergency teaching–learning methods (Etlm) during COVID-19: Lessons learned from Sri Lanka 📚

Alexandrina Nan | Polymer Science | Best Researcher Award

Published on by World Top Scientists

Dr. Alexandrina Nan | Polymer Science | Best Researcher Award

Senior Researcher, National Institute for R&D of Isotopic and Molecular Technologies, Cluj-Napoca, Romania

Alexandrina Nan is a distinguished Romanian researcher specializing in chemistry and materials science. She was born on July 29, 1977, and is currently a senior researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies (INCDTIM) in Cluj-Napoca, Romania. With a passion for innovation, she has contributed significantly to the fields of nanomaterials, polymers, and green chemistry. Alexandrina is also a member of the Scientific Council at INCDTIM and organizes scientific seminars, fostering knowledge exchange. Throughout her career, she has published extensively in leading scientific journals, focusing on sustainable and environmentally friendly material solutions.

Profile

Education

Alexandrina Nan holds a Bachelor’s Degree in Chemistry (1995–1999) from the Faculty of Chemistry and Chemical Engineering at Babes-Bolyai University in Cluj-Napoca. She earned a Master’s Degree in Heterocyclic Chemistry in 2000, followed by a Ph.D. in Chemistry in 2005 from the same institution. Her academic foundation has equipped her with a deep understanding of chemical engineering, which she continues to apply in her groundbreaking research on functionalized materials and nanotechnology.

Experience

Since 2005, Alexandrina has worked as a Senior Researcher at INCDTIM in Cluj-Napoca, focusing on materials synthesis, characterization, and the development of functionalized polymers and nanomaterials. She leads national research projects and is involved in the preparation of recyclable magnetic organocatalysts and polymer composites. As a Project Director at INCDTIM, she has directed national projects, contributing to the advancement of sustainable materials and green chemistry. Additionally, she actively participates in the Scientific Council of the institute and organizes scientific seminars, promoting collaboration within the research community.

Research Focus

Alexandrina Nan’s research focuses on the development of functionalized materials, including nanoparticles, polymers, and composite materials. Her work emphasizes sustainable chemistry, utilizing recycled materials and green synthesis methods for creating novel, environmentally friendly solutions. She investigates magnetic nanomaterials for various applications, including drug delivery systems and medical implants. Additionally, her research explores polymer synthesis, nanomaterial characterization, and their integration into industrial and environmental solutions, contributing to a circular economy and advancing sustainable materials in diverse industries.

Publications

  • Synthetic Aggregates and Bituminous Materials Based on Industrial Waste 🌍🛠️
  • Evaluating Hepatic Toxicity of Chitosan and Chitosan-Functionalized Iron Oxide Nanoparticles 🧬🧪
  • Industrial Wastes as Filler in Bituminous Materials for Construction Industry: Toward Circular Economy ♻️🏗️
  • Green Synthesis of Gold, Silver, Copper, and Magnetite Particles Using Poly(tartaric acid) 🌿💎
  • Efficient Chemical Synthesis of New Thermoplastic Fluorinated Aromatic Polyester 🔬📐
  • Exploiting Enzyme in Polymer Synthesis for a Remarkable Increase in Thermal Conductivity 🌡️🧪
  • Characterization of a Neoteric Clay-Based Composite for the Removal of Heavy Metals from Mining Water 🌿💧
  • Development of a New Eco-Friendly Copolymer Based on Chitosan for Enhanced Removal of Pb and Cd from Water ♻️💧
  • Analysis of Functionalized Ferromagnetic Memory Alloys from the Perspective of Developing a Medical Vascular Implant 🧲💉
  • Responsiveness Assessment of Cell Cultures Exposed to Poly(tartaric acid) and Its Corresponding Magnetic Nanostructures 🧬🔬

Małgorzata Kowalska | Epidemiology | Best Researcher Award

Published on by World Top Scientists

Prof. Małgorzata Kowalska | Epidemiology | Best Researcher Award

nomination, Medical University of Silesia, Poland

Prof. Małgorzata Kowalska is a distinguished expert in Environmental Epidemiology and Environmental Health, currently serving as a professor at the Department of Epidemiology, Medical University of Silesia in Katowice, Poland. With a career spanning decades, she has become a leading figure in the study of the health effects of environmental factors such as air pollution and their impact on public health. Prof. Kowalska has held key leadership roles, including Vice President of the Polish Society of Environmental Epidemiology and Secretary of the Polish Society of Hygiene. She is widely recognized for her research and contributions to the field of epidemiology and environmental health, particularly concerning the effects of air pollution on respiratory and cardiovascular diseases. Prof. Kowalska’s work has not only enhanced scientific understanding but has also influenced health policies in Poland and beyond.

Profile

Orcid

Education 

Prof. Kowalska holds a Master of Science in Chemistry from the Silesian University of Technology (1983) and earned a Ph.D. in Medicine in 1998. In addition to her doctoral studies, she completed a diploma in Environmental Health from the Polish Ministry of Health in 2005 and training in Epidemiology from the same institution in 2008. She became an Associate Professor in Medicine (medical biology) in 2012 and achieved the title of Professor in Medicine (medical biology) in 2018. Her educational background is complemented by extensive training in both medical biology and environmental health, forming the foundation for her distinguished research career in epidemiology. Prof. Kowalska’s academic achievements are a testament to her dedication to advancing public health through research and education, particularly in the areas of environmental exposures and their effects on human health.

Research Focus 

Prof. Małgorzata Kowalska’s research focuses on the intersection of environmental factors and public health, specifically in the fields of environmental epidemiology and environmental health. She investigates how environmental pollutants, including air pollution (NOx, NO2), affect respiratory and cardiovascular health, with a particular emphasis on the impact of these factors on vulnerable populations. Her studies also examine the role of essential elements and vitamins during pregnancy and the health effects of exposure to environmental hazards like ozone. Prof. Kowalska’s research extends to exploring mental health and quality of life, particularly among healthcare professionals, and the use of voice technology in managing chronic conditions. Additionally, her work includes evaluating public health responses to the COVID-19 pandemic and other pressing health issues in the Silesian Voivodeship. Through her multifaceted research, she seeks to improve public health policies and interventions, with an emphasis on prevention and community well-being.

Publications

  • Determinants of the Essential Elements and Vitamins Intake and Status during Pregnancy: A Descriptive Study in Polish Mother and Child Cohort 🍼🍏
  • Seroprevalence of Anti-SARS-CoV-2 Antibodies in a Random Sample of Inhabitants of the Katowice Region, Poland 🦠💉
  • Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study 📱❤️
  • Acute FeNO and Blood Pressure Responses to Air Pollution Exposure in Young Adults during Physical Activity 🌫️🏃‍♂️
  • The Reliability and Compatibility of the Paper and Electronic Versions of the POLLEK Cohort Study Questionnaire 📋💻
  • The Review of Prospective Studies on Mental Health and the Quality of Life of Physicians and Medical Students 🧠👩‍⚕️
  • Assessment of Risk Hospitalization due to Acute Respiratory Incidents Related to Ozone Exposure in Silesian Voivodeship (Poland) 🌬️🏥
  • Decreasing the Impact of Anxiety on Cancer Prevention through Online Intervention 😷💻
  • Effect of NOx and NO2 Concentration Increase in Ambient Air to Daily Bronchitis and Asthma Exacerbation, Silesian Voivodeship in Poland 🌫️🌡️
  • Parental Declaration of Adverse Event Following Immunization in a Cross-Sectional Study in Poland 💉👶
  • Comorbidities in Asthma and Chronic Obstructive Pulmonary Disease among Adult Inhabitants of Silesian Voivodeship, Poland 🌬️💨

Tianyi Li | Transportation Engineering | Best Researcher Award

Published on by World Top Scientists

Prof. Tianyi Li | Transportation Engineering | Best Researcher Award

Assistant Professor, Saint Louis University, United States

Tianyi Li is an Assistant Professor in the Department of Civil Engineering at Saint Louis University. His research interests lie at the intersection of transportation engineering, cyber-physical systems (T-CPS), and machine learning, with a focus on traffic modeling, safety, and urban mobility. Prior to his current role, Li earned his Ph.D. in Transportation Engineering from the University of Minnesota, where he worked under the guidance of Dr. Raphael Stern. He holds a Master’s degree from the University of Washington and a Bachelor’s degree from Iowa State University. Li’s interdisciplinary expertise includes the application of data science and machine learning to improve traffic flow, safety, and sustainability. He has gained industry experience working with organizations like Futurewei Technology and the Washington State Department of Transportation. His ongoing research contributes significantly to advancing the understanding of smart cities, transportation systems, and public safety.

Profile

Orcid

Education 

Tianyi Li holds a Ph.D. in Transportation Engineering from the University of Minnesota, which he is expected to complete in June 2024. Under the mentorship of Dr. Raphael Stern, his doctoral research explores transportation-cyber-physical systems (T-CPS) and the integration of machine learning in transportation systems. Li also earned a Master of Science in Transportation Engineering from the University of Washington in December 2019, where he worked with Dr. Yinhai Wang. During his undergraduate years at Iowa State University, Li graduated with a Bachelor of Science in Civil Engineering in May 2017, earning cum laude honors and membership in Tau Beta Pi. He also received certifications in Python programming, machine learning, and data science through Coursera. Li’s academic training has provided him with a solid foundation in transportation engineering, data analysis, and the application of cutting-edge technologies like AI and machine learning to transportation systems.

Experience 

Tianyi Li has diverse experience both in academia and industry. Since August 2024, he has been serving as an Assistant Professor in the Department of Civil Engineering at Saint Louis University. In this role, he focuses on conducting research and teaching students about transportation systems, cyber-physical systems, and data science. Li’s industry experience includes a summer internship at Futurewei Technology in Bellevue, Washington, where he worked on applied machine learning for smart cities and contributed to a journal paper on taxi mobility services. In addition, he interned with the Washington State Department of Transportation in 2019, focusing on tolling data analysis, performance evaluations, and operational improvements. Li also gained early career experience as an Assistant Engineer Intern with China Railway First Group in 2017, where he participated in site surveys, field measurements, and AutoCAD drawing. His internships provided him valuable hands-on experience in the transportation field, bridging academic research and real-world applications.

Awards and Honors 

Tianyi Li has received numerous prestigious awards throughout his academic and professional career. Notable recognitions include the Dwight David Eisenhower Transportation Fellowship (2021-2024), which supports his ongoing research on transportation systems. He also received the Matthew J. Huber Award for Excellence in Transportation Research and Education in 2024, which acknowledges his exceptional contributions to the field of transportation engineering. Li has earned multiple Department of Civil, Environmental, and Geo-Engineering Travel Awards (2023), enabling him to present at international conferences. Additionally, he was awarded the Best Presentation Award at the UMN Transportation Seminar in 2022 for his outstanding work in transportation research. Other honors include the NSF Travel Award, the Transportation Research Board (TRB) Student Travel Award, and the 2022 ITS Minnesota Educational Scholarship. Li has also received multiple Dwight David Eisenhower Transportation Fellowships (2021-2023), which have supported his research initiatives in transportation safety and smart mobility.

Research Focus 

Tianyi Li’s research focuses on the intersection of transportation systems, cyber-physical systems (T-CPS), and machine learning. His work aims to integrate advanced data science techniques into transportation engineering to improve traffic flow, safety, and urban mobility. Key research topics include traffic estimation, modeling, and control, with a particular emphasis on leveraging machine learning and deep learning methods to optimize transportation systems. Li has explored the energy impacts of cyberattacks on adaptive cruise control vehicles, as well as the detection of stealthy cyberattacks on automated vehicles. His research also addresses transportation safety, including driver behavior at unsignalized intersections and pedestrian-driver interactions. Li’s focus on sustainable urban mobility involves developing innovative solutions for smart cities, incorporating the integration of public transit signal priority into traffic signal control. Overall, his interdisciplinary research aims to advance transportation infrastructure using emerging technologies to create safer, more efficient, and sustainable urban transportation systems.

Publications 

  1. Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota 🛣️🚗
  2. Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles 🚙💻
  3. Naturalistic open-source pedestrian-driver yielding dataset collected in Minnesota 🚶‍♂️🚗
  4. Car-following-response Based Vehicle Classification via Deep Learning 🧠🚘
  5. Assessing the Impact of Disruptive Events on Urban Mobility: A Case Study of Chicago Taxis during COVID-19 🚖📉
  6. Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network 🚍🚦
  7. Detecting Stealthy Cyberattacks on Automated Vehicles via Generative Adversarial Networks 🛑🤖
  8. Robustness of vehicle identification via trajectory dynamics to noisy measurements and malicious attacks 🚙🔒
  9. Taxi Utilization Rate Maximization by Dynamic Demand Prediction: A Case Study in the City of Chicago 🚖📊

Faran Vahedian | Environmental Science | Best Researcher Award

Published on by World Top Scientists

Mrs. Faran Vahedian | Environmental Science | Best Researcher Award

Research Engineer, EA Engineering, Science, Technology, United States

Dr. Faran Vahedian is an environmental engineer and hydrogeologist with over 10 years of experience in environmental engineering, specializing in groundwater and vadose zone systems. She completed her Ph.D. at the Colorado School of Mines, focusing on the fate and transport of PFAS in AFFF-impacted media. Her research has been funded by the Department of Defense’s Strategic Environmental Research and Development Program (SERDP), addressing pressing environmental concerns. Dr. Vahedian is skilled in laboratory analysis, data processing, and numerical modeling, using tools like MODFLOW, FEFLOW, and HYDRUS. She has developed innovative techniques for detecting PFAS tracers using liquid chromatography-mass spectrometry (LC-MS-MS-QTRAP). With experience in both academic and field-based research, Dr. Vahedian has contributed to multiple publications and presentations in environmental remediation, groundwater contamination, and sustainable water management strategies. Her work is known for its technical depth, collaboration, and practical applications in environmental engineering.

Profile

Education 

Dr. Faran Vahedian earned her Ph.D. in Civil and Environmental Engineering from the Colorado School of Mines in 2024, where she conducted advanced research on PFAS contamination in vadose zones, funded by the Department of Defense’s Strategic Environmental Research and Development Program (SERDP). She holds a Master’s in Water Engineering from the University of Guelph, Canada (2021), focusing on water quality and sustainable water management. Her undergraduate degree is a Bachelor of Science in Civil Engineering from Shahid Beheshti University, Tehran, Iran (2014), where she first gained foundational knowledge in environmental and civil engineering. Dr. Vahedian’s academic journey has equipped her with specialized skills in laboratory analysis, groundwater modeling, and environmental systems, allowing her to contribute significantly to research on PFAS contamination and remediation strategies.

Experience 

Dr. Vahedian has a diverse and extensive background in environmental engineering and hydrogeology. From 2021 to 2024, she worked as a Graduate Research Assistant at the Colorado School of Mines, leading a SERDP-funded project on the fate and transport of PFAS in vadose zones. She conducted lab experiments, numerical modeling, and collaborated with HYDRUS developers to refine models for groundwater systems. Prior to that, from 2016 to 2021, she worked as a Hydrogeologist, conducting field characterization, groundwater quality assessments, and developing Python-based tools for groundwater data analysis. Her experience extends to Wastewater Treatment Plant Design Engineer (2014-2016), where she optimized water treatment systems, conducted water sampling, and ensured compliance with environmental regulations. Dr. Vahedian’s practical skills in hydrological modeling, GIS analysis, and environmental risk assessments complement her research expertise, particularly in sustainable water management and environmental remediation projects.

Research Focus 

Dr. Vahedian’s research focuses on the environmental fate and transport of PFAS (Per- and Polyfluoroalkyl Substances), particularly in the context of aqueous film-forming foam (AFFF) contamination. Her work seeks to understand the mechanisms behind PFAS contamination in vadose zones and groundwater, exploring air-water interfacial partitioning and solid-phase sorption processes. She has applied numerical modeling and laboratory experiments to simulate PFAS movement and develop remediation strategies. Additionally, Dr. Vahedian has worked on groundwater flow modeling and sustainable water management, with particular emphasis on modeling hydraulic cross-connections in bedrock aquifer systems and evaluating the impact of fertilizers on groundwater quality. Her research aims to improve understanding of subsurface contamination, develop tools for environmental monitoring, and enhance strategies for the remediation of contaminated water systems. She collaborates closely with model developers and researchers to refine tools and models for groundwater contamination analysis.

Publications

  • Vahedian, F., Silva, J. A., Šimůnek, J., & McCray, J. E. Influence of kinetic air-water interfacial partitioning on unsaturated transport of PFAS in sandy soils. The Science of the Total Environment 🧪💧
  • Vahedian, F., Silva, J. A., Šimůnek, J., & McCray, J. E. (2024). Influence of Tension-Driven Flow on the Transport of AFFF in Unsaturated Media. ACS ES&T Water 🌊🔬
  • Vahedian F; Silva, J.A.K.; Ross, Ian; McCray, J.E. Assessing the Influence of AFFF-impacted media on Sorption Behavior of PFASs. Water Research 🔍💦
  • Vahedian F; Quinn, P., Merritt, Levison, J., Parker, B. Simulating Open Borehole Hydraulic Cross-Connection in A Multi-Layered Bedrock Aquifer System. JOH 🏞️🧭

Xiangliang Xu | Nonlinear dynamical system | Best Researcher Award

Published on by World Top Scientists

Dr.Xiangliang Xu | Nonlinear dynamical system | Best Researcher Award

None, University of Electronic Science and Technology , China

Xiangliang Xu is currently a faculty member at the University of Electronic Science and Technology of China. He is known for his extensive research in chaotic systems, memristor models, encryption algorithms, and nonlinear dynamics. Xu has made significant contributions to the study of chaotic systems, specifically in the development of chaotic models and their applications in fields like cryptography and secure communication. He holds an ORCID of 0000-0002-7675-113X and his research has been widely recognized, with his publications cited extensively across various high-impact journals. Xu’s work often involves the integration of advanced mathematical techniques and chaos theory to address challenges in system security and signal processing.

Profile

Orcid

Education

 Xiangliang Xu completed his advanced studies at the University of Electronic Science and Technology of China. While his undergraduate studies focused on electrical engineering, his graduate work deepened into nonlinear dynamics, complex systems, and chaotic behavior in physical systems. He obtained his PhD in a field closely related to chaos theory and applied mathematics, where he worked on novel methods for simulating and analyzing chaotic systems. His academic journey has been marked by significant research outputs, collaborations with experts in chaos theory, and contributions to the development of memristor-based systems for encryption. Throughout his education and career, Xu has built a solid foundation in mathematical modeling, system dynamics, and the practical application of chaos-based methods in real-world technology, including secure communications and cryptography.

Research Focus 

Xiangliang Xu’s research focuses on chaotic systems, encryption algorithms, memristors, and nonlinear dynamics. His work explores the design and analysis of chaotic models, especially those based on memristor components, which can be applied to encryption and secure communication systems. His interest spans the creation of new memristor-based chaotic systems and their application in areas like audio and image encryption, with a focus on enhancing system security. Xu has also worked on novel approaches for dynamic analysis of fractional-order and multi-dimensional chaotic systems. His research incorporates mathematical methods to model complex systems and investigate their properties, particularly in cryptography. By studying multi-scroll, multi-wing, and hyperchaotic systems, Xu aims to improve the performance and robustness of encryption methods. Additionally, his research addresses theoretical aspects of memristor behavior and its integration into chaotic systems, contributing to advancements in secure information transmission.

Publications

  1. Audio Encryption Algorithm Based on Chen Memristor Chaotic System 🎵🔐
  2. Image Encryption Algorithm Based on Coexisting Multi-attractors in a Spherical Chaotic System 🖼️🔐
  3. A Generic Voltage-Controlled Discrete Memristor Model and Its Application in Chaotic Map 🔌🌀
  4. Multi-direction Chain and Grid Chaotic System Based on Julia Fractal 🔶🌀
  5. A General Method for Generating Multi-scroll and Multi-wing Chaotic Systems and Its Implementation of Attractor Reproduction 🔄🌀
  6. Solution and Dynamics Analysis of Fractal-fractional Multi-scroll Chen Chaotic System 📊🔍
  7. Multi-directional Annular Multi-wing Chaotic System Based on Julia Fractals 🔵🌀
  8. Two Modified Chaotic Maps Based on Discrete Memristor Model 🔢🔌
  9. Design of a New Dimension-Changeable Hyperchaotic Model Based on Discrete Memristor 🔲🌀
  10. Image Encryption Algorithm Based on a Novel Wide-Range Discrete Hyperchaotic Map 🖼️🌀
  11. A Compressive Sensing Encryption Scheme for Dual Color Images Based on Discrete Memristor Map and Rubik’s Cube Scramble 🎨🔒
  12. Modeling and Dynamic Analysis of a Novel Seven-dimensional Hamilton Conservative Hyperchaotic System 🔢🌀
  13. Multistable Dynamics and Attractors Self-reproducing in a New Hyperchaotic Complex Lü System 🌀🔄
  14. Enhancing Traceability Link Recovery with Fine-Grained Query Expansion Analysis 🔍🔗
  15. Chaos-based Coverage Path Planning Framework for Mobile Robots 🤖🌀