John Giesy |  Environmental Data Analysis | Best Researcher Award

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Prof. John Giesy |  Environmental Data Analysis | Best Researcher Award

Baylor University | Canada

Professor John P. Giesy is a globally recognized environmental chemist and ecotoxicologist, renowned for his pioneering work in identifying and characterizing perfluorinated compounds (PFCs) in the environment. He earned his B.S. in Biology (Summa Cum Laude) from Alma College, followed by an M.Sc. and Ph.D. in Limnology from Michigan State University. Throughout his distinguished career, Professor Giesy has held leading academic and research positions worldwide, contributing extensively to environmental science, risk assessment, and ecosystem protection. His research focuses on the fate and effects of environmental contaminants, chemical safety, and the development of ecological models for sustainable management. With an exceptional record of 1,304 peer-reviewed publications, over 75,308 citations, and an H-index of 126, he ranks among the most cited scientists in environmental sciences globally. Professor Giesy is a Fellow of the Royal Society of Chemistry (UK) and the Royal Society of Canada and a member of the National Academy of Science of Canada. His numerous honors include the SETAC Founders Award, Environmental Education Award, Global Capacity Building Award, and the Royal Society of Canada’s Miroslaw Romanowski Medal. His lifelong contributions continue to shape global environmental policy and scientific innovation in ecotoxicology and sustainable chemistry.

Profiles : Scopus | Orcid

Featured Publications

Lin, T., Zhou, S., He, H., Guo, J., Sturchio, N. C., Rockne, K. J., Giesy, J. P., & Li, A. (2025). Halogenated flame retardants in the sediments of the lower Great Lakes and region-wide discoveries. Journal of Hazardous Materials.

Al Naggar, Y., Fahmy, N., Alkhaibari, A., Al-Akeel, R., Alharbi, H., Mohamed, A., Eleftherianos, I., El-Seedi, H., Giesy, J. P., & Alharbi, H. (2025). Mechanisms and genetic drivers of resistance of insect pests to insecticides and approaches to its control. Toxics.

Mahoney, H., Ankley, P., Roberts, C., Lamb, A., Schultz, M., Zhou, Y., Giesy, J. P., & Brinkmann, M. (2025). Correction to “Unveiling the molecular effects of replacement and legacy PFASs: Transcriptomic analysis of zebrafish embryos reveals surprising similarities and potencies.” Environmental Science & Technology.

Engelbrecht, I., Horn, S. R., Giesy, J. P., & Pieters, R. (2025). Quantification of pesticides and in vitro effects of water-soluble fractions of agricultural soils in South Africa. Archives of Environmental Contamination and Toxicology.

Kim, T., Zhen, J., Lee, J., Park, S. Y., Lee, C., Kwon, B.-O., Hong, S., Shin, H.-M., Giesy, J. P., & Chang, G. S. (2024). Prediction of cytotoxicity of polycyclic aromatic hydrocarbons from first principles. Science of the Total Environment.

Alexander Stolin | Engineering | Best Researcher Award

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Mr. Alexander Stolin | Engineering | Best Researcher Award

Merzhanov Institute of Structural Macrokinetics and Materials Science Russian Academy of Sciences (ISMAN) | Russia

Stolin Alexander Moiseevich is a distinguished materials scientist with a PhD and Doctor of Sciences degree, known for his pioneering contributions in the fields of self-propagating high-temperature synthesis (SHS), rheology, powder metallurgy, and solid-phase technologies. A graduate of Rostov State University, he began his scientific career at the Institute of Chemical Physics before joining ISMAN, where he has led the Laboratory of Plastic Deformation of Inorganic Materials since 1988. With over 500 scientific publications, 50 patents and copyright certificates, and an h-index of 21, his work has significantly advanced the understanding of viscous flow in reacting systems and high-temperature materials processing. He has mentored 21 PhD students and 2 doctoral candidates and is actively involved in multiple editorial boards and scientific committees. He is a key figure in academic-industry collaborations, notably with United Company Rusal. His accolades include the title of Honored Inventor of the USSR, the G.V. Vinogradov Prize, the Gold Medal at the Moscow Salon of Innovations, and the Honored Scientist of the Moscow Region title. His research continues to shape advanced material development and education in Russia and internationally, with a strong commitment to mentoring and scientific leadership. His citation count exceeds 1000, supported by verified documents and indexed publications.

Profile : Scopus

Featured Publications

Stolin, A.M., [Co-authors]. (2025). Structure and properties of the surfacing layer obtained with a powder SHS electrode based on TiC–NiCr. Metallurgist.

Stolin, A.M., [Co-authors]. (2024). Cold Uniaxial Pressing of PTFE-Based Composite Materials with Functional TiC and TiB₂ Additives. Russian Metallurgy (Metally).

Stolin, A.M., [Co-authors]. (2024). Critical Phenomena of Rheodynamic Origin in the Process of One-Sided Cold Pressing of Powder Materials. Theoretical Foundations of Chemical Engineering.

Stolin, A.M., [Co-authors]. (2024). Distinctive Features of the Grain Size Reduction Process in a TiC–NiCr Material Produced by SHS Extrusion. Inorganic Materials.

Stolin, A.M., [Co-authors]. (2023). Structure, and Mechanical and Tribological Properties of Ti–Cr–C–Ni–Fe Composite Coatings. Physical Mesomechanics.

Syed Abrar Ahmed | Optical Communication | Best Researcher Award

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Mr. Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Presidency University | India

Mr. Syed Abrar Ahmed is an Assistant Professor in the Department of Electronics and Communication Engineering at Presidency University, Bangalore, with over 14 years of academic experience. He holds an M.Tech in VLSI Design and Embedded Systems from Dr. Ambedkar Institute of Technology, Bangalore, under Visvesvaraya Technological University (VTU), and a B.E. in Electronics and Communication Engineering from Ghousia College of Engineering, Ramanagaram. His teaching expertise spans Network Analysis, Embedded System Design, Microcontrollers, Microprocessors, and Analog and Digital Electronics. His research contributions focus on embedded systems, Internet of Things (IoT), machine learning applications in cognitive radio, and assistive technologies for visually impaired individuals. He has published conference papers, journal articles, and a book chapter, including contributions to Scopus-indexed proceedings and reputed journals such as the International Journal of Recent Technology and Engineering. He has guided numerous undergraduate projects in microcontrollers, robotics, IoT, GSM/GPS systems, and FPGA-based designs, and has actively participated in faculty development programs, workshops, and seminars on advanced topics. His career is distinguished by dedication to academic excellence, innovation in teaching, and contributions to emerging fields in electronics and communication engineering.

Profiles : Scopus | Orcid

Featured Publications

“QML-Based Abstraction Techniques for Predictive Modeling in Banking”

“Performance analysis of a PPM-OOK based hybrid modulation scheme for Satellite-to-Underwater FSO communication”

“Decision Tree Based 5modular Redundancy Algorithm for Fault Identification in Full Adder Circuit”

“5G’s Impact on the Evolution of Smart Cities”

“Multifunctional Frequency Management With 5g Cognitive Networking”

“A Glimpse of the 5G-Enabled Modern City”

“Third Eye A Writing Aid for Visually Impaired People”

Darshika Hitesh Acharya | Data Regulation | Women Researcher Award

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Ms. Darshika Hitesh Acharya | Data Regulation | Women Researcher Award

SVKM’S Mithibai college of Arts, Chauhan Institute of Science and Amrutben Jivanlal College of Commerce and Economics | India
Darshika Hitesh Acharya is a dedicated Ph.D. research scholar specializing in plant sciences with a focus on pharmacognosy. Her academic journey reflects a strong commitment to advancing knowledge in botany, food science, and the broader field of natural sciences. She has contributed to scientific publications indexed in Scopus and Springer, showcasing her dedication to research excellence and innovative approaches to plant-based studies.

Professional Profiles

Google Scholar

Education

Darshika is pursuing her doctoral research at a reputed institution where she is advancing her expertise in botany and food science. Her academic training equips her with a strong theoretical foundation and practical research skills in plant sciences, particularly pharmacognosy. Through her education, she has developed a deep understanding of natural product research, plant-based compounds, and their applications in health and science.

Experience

As an emerging researcher, Darshika has gained valuable experience through her scholarly activities and contributions to peer-reviewed journals. Despite not having consultancy or industry projects yet, she has made her mark with quality publications in international journals. She has also actively engaged in academic research discussions, presenting her findings in forums that encourage scientific exchange. Her experience reflects her resilience and determination to contribute to the field despite the challenges faced by young researchers.

Research Interest

Darshika’s primary research interest lies in pharmacognosy, a discipline that explores the medicinal and therapeutic potential of natural products. She focuses on analyzing plant-based compounds and their role in food science and health applications. Her work integrates the study of botany, plant science, and food-related innovations, offering insights into the use of natural resources for sustainable and health-oriented solutions. By bridging these areas, her research has the potential to support advancements in nutraceuticals, functional foods, and plant-based medicine.

Award

Darshika has been nominated for the Research Data Analysis Awards under categories such as Best Researcher Award . This recognition highlights her contributions to scientific knowledge and her promise as an emerging researcher in the field of pharmacognosy and plant sciences. Her scholarly achievements, particularly her publications in reputable journals, have made her a strong contender for these awards.

Publications

  • Acharya, D., & Vaidya, M. (2017). Anatomical study of Euphorbia hirta L. World Journal of Pharmaceutical Research, 6(7), 1407–1416.

  • Acharya, D., & Vaidya, M. (2017). Pharmacognostic studies of Euphorbia hirta L. World Journal of Pharmaceutical Research, 6(10), 1043–1050.

  • Acharya, D., & Vaidya, M. (2017). Fluorescence analysis of Euphorbia hirta L. [No journal details provided].

  • Acharya, D., & Vaidya, M. (2024). Anatomical studies in the leaves of Hydnocarpus pentandrus (Buch.-Ham) Oken. Journal of Indian Botanical Society, 105(1), 73–79.

  • Acharya, D., & Vaidya, M. (2024). In-vitro antioxidant activity of hydroalcoholic extract of leaves of Hydnocarpus pentandrus (Buch.-Ham) Oken. International Journal of Pharmaceutical Sciences, 2(11), 167–172.

  • Acharya, D., & Vaidya, M. (2025). Pharmacognostic investigation of the leaves of Hydnocarpus pentandrus (Buch.-Ham) Oken. Vegetos.

Conclusion

 Darshika Hitesh Acharya embodies the qualities of a passionate and promising researcher committed to advancing pharmacognosy and plant sciences. Her academic pursuits, combined with her research publications, reflect her dedication to scientific discovery and her vision of contributing to health and sustainability through natural products. With continuous growth, she is poised to make significant contributions to the global scientific community, inspiring future scholars in the field.

Peng Wang | Public Health Analytics | Best Research Article Award

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Dr. Peng Wang | Public Health Analytics | Best Research Article Award

Xizang university | China

Dr. Peng Wang is an emerging scholar in the field of plateau health ecology, with a strong academic foundation in forensic medicine and basic medicine. His academic journey demonstrates a steady progression from undergraduate studies to advanced doctoral research, marked by a focus on health challenges unique to high-altitude populations. He has consistently engaged in scientific research, academic exchanges, and collaborative projects, contributing valuable insights into the intersection of medicine, ecology, and machine learning applications in healthcare. Through his publications, participation in symposia, and leadership in talent training programs, Dr. Wang has positioned himself as a promising researcher dedicated to advancing healthcare in plateau regions.

Professional Profile

Scopus

Education

Dr. Wang completed his undergraduate studies in forensic medicine at Henan University of Science and Technology, where he gained a solid grounding in medical science and evidence-based approaches to health-related issues. He further pursued a master’s degree in basic medicine at Tibet University, where his academic focus deepened toward the foundational aspects of medical research. Building on these experiences, he embarked on a doctoral program in plateau health ecology at Tibet University, dedicating his research to understanding the physiological, environmental, and social factors affecting populations living at high altitudes. This educational progression has provided him with multidisciplinary expertise, equipping him to address complex health issues in unique ecological environments.

Experience

Dr. Wang’s academic and professional experiences reflect his active involvement in both research and academic communities. He has participated in significant scholarly gatherings, such as the First and Second Plateau Medicine Symposia at Tibet University, where he contributed to discussions on health and medicine in high-altitude regions. His experience extends beyond attending conferences; he has taken leadership roles in postgraduate and doctoral-level training programs, serving as the first host for the “High-level Talent Training Program.” These initiatives highlight his ability to mentor, guide, and collaborate with fellow researchers and students, fostering an environment of academic growth and innovation.

Research Interest

Dr. Wang’s primary research interests lie at the intersection of plateau health ecology, medical science, and data-driven healthcare solutions. His work emphasizes understanding how high-altitude environments affect human physiology, health risks, and disease prevalence. A notable example is his research on osteoporosis prediction in Tibetan middle-aged and elderly women, where he applied and compared machine learning models to improve diagnostic accuracy. This reflects his growing interest in integrating computational methods with medical research, demonstrating the potential of artificial intelligence to enhance healthcare outcomes in underserved regions. His broader interests include preventive medicine, ecological health, and the development of strategies tailored to the unique challenges faced by populations in plateau regions.

Awards

Throughout his academic journey, Dr. Wang has received multiple scholarships in recognition of his academic excellence and research contributions. These honors from Tibet University reflect not only his strong performance but also his dedication to advancing knowledge in health sciences. His recognition underscores the value of his contributions and affirms his commitment to rigorous academic pursuits and innovative research. Such achievements serve as milestones that highlight his growing impact within the medical and scientific community.

Publications

Wang, P. (2025). “Comparing Machine Learning Models for Osteoporosis Prediction in Tibetan Middle-Aged and Elderly Women.” Scientific Reports, 15(1), 10960.

Wang, P., et al. (2025). “Influencing Factors on Bone Mass Abnormalities in Tibetan Adult Females from a Socioeconomic Perspective.” BMC Women’s Health.

Conclusion

Dr. Peng Wang exemplifies the qualities of a dedicated researcher and academic professional with a focus on plateau health ecology and medical research. His educational background, spanning forensic medicine, basic medicine, and specialized doctoral training, has equipped him with a comprehensive perspective on health sciences. Through his scholarly publications, active participation in academic symposia, leadership in training programs, and recognition through awards, he has demonstrated both academic excellence and a commitment to addressing pressing healthcare issues in high-altitude populations. His research, particularly the integration of machine learning in medical prediction models, reflects a forward-looking vision that combines traditional health science with modern computational approaches. With a strong foundation and growing expertise, Dr. Wang continues to make meaningful contributions to the advancement of health research and medical innovation in challenging ecological contexts.

Jose Rishmawi | Financial Data Analysis | Best Researcher Award

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Mr. Jose Rishmawi | Financial Data Analysis | Best Researcher Award

University of Chicago | Chile

Mr. Jose Rishmawi is an emerging economist whose academic and professional journey reflects a strong dedication to advancing knowledge in macroeconomics, international economics, and trade policy. With a rich background in research and policy advisory roles, he has contributed to shaping economic perspectives in both academic and institutional contexts. His professional experience includes impactful roles at the Central Bank of Chile, where he worked on critical economic analyses and policy recommendations. Currently pursuing his doctoral studies at a prestigious U.S. institution, his work bridges advanced economic theory with real-world policy applications, positioning him as a promising researcher and advisor in the field of economics.

Professional Profile

SCOPUS

Education

Mr. Rishmawi has pursued a robust academic path in economics, starting with a Bachelor’s degree and Master’s degree in Applied Economics from the Pontifical Catholic University of Chile, where he graduated with honors and earned recognition for academic excellence. He later advanced his studies with a Ph.D. program in Economics at a leading U.S. university, focusing on advanced economic methodologies, international trade dynamics, and macroeconomic theory. His education reflects both a strong foundation in economic theory and a specialization in applying empirical tools to address real-world economic challenges.

Experience

His professional experience is marked by diverse and high-impact roles that combine economic research with policy implementation. At the Central Bank of Chile, he served as an Economic Research Analyst in the Big Data Analytics Department, contributing to data-driven analyses on firm delinquency, interest rate shocks, and exchange rate pass-through effects. Previously, he advised the Vice-Governor of the Central Bank of Chile, where he provided strategic insights and contributed to policy briefs addressing critical economic shifts. His earlier roles as a Research Assistant and Teaching Assistant further highlight his commitment to both advancing research and mentoring students in foundational economics, econometrics, and microeconomic theory.

Research Interest

Mr. Rishmawi’s research interests span macroeconomics, international economics, and international trade, with a strong emphasis on empirical and structural analysis. His work explores the transmission mechanisms of exchange rate fluctuations, the heterogeneity of interest rate shocks on firms, and the broader macroeconomic implications of policy changes. By employing advanced econometric techniques and integrating big data analytics, he aims to provide nuanced insights that inform monetary policy, trade strategies, and economic stability in emerging markets and global contexts.

Awards and Honors

Throughout his academic and professional journey, Mr. Rishmawi has been recognized for his exceptional achievements and contributions to economics. He has received competitive fellowships and awards that underscore his academic excellence and research potential, including prestigious recognition at his doctoral institution and top honors during his master’s and undergraduate studies. His early recognition as the best student in his academic programs reflects a consistent track record of outstanding performance and intellectual dedication.

Publication

Impact of the access to Fogape-Covid program on firm delinquency: Evidence from commercial loans within the banking system, 2025

Conclusion

With a strong foundation in applied economics, extensive experience in policy-oriented research, and a commitment to advancing economic thought, Mr. Jose Rishmawi exemplifies the qualities of a future leader in economics. His interdisciplinary expertise, spanning macroeconomic modeling, international trade analysis, and big data applications, positions him to make significant contributions to both academic research and global economic policy development. As he continues his doctoral research and academic career, his work holds the potential to influence economic strategies at national and international levels.

Simon William Mkasimongwa | Air Quality | Best Researcher Award

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Mr. Simon William Mkasimongwa | Air Quality | Best Researcher Award

The University of Melbourne | Australia

Mr. Simon William Mkasimongwa is a dedicated researcher and climate expert specializing in atmospheric chemistry, climate change, and air quality management. He has developed strong expertise in data analysis, environmental policy evaluation, and sustainable development practices. With a passion for addressing global environmental challenges, he integrates scientific research with community engagement, event coordination, and interdisciplinary collaboration. He has experience in leading environmental projects, delivering academic content, hosting radio programs, and mentoring youth in climate-related initiatives. His professional journey reflects a deep commitment to advancing environmental science and promoting innovative solutions for sustainable futures.

Professional Profile

ORCID

Education

Mr. Mkasimongwa has pursued advanced education in the fields of atmospheric chemistry, sustainable development, and safety and health science. His academic journey includes a doctorate in atmospheric chemistry focusing on air quality monitoring and management in urban regions, a master’s degree with emphasis on climate change adaptation and mitigation, and a bachelor’s degree in sustainable development. Throughout his education, he has gained proficiency in research methodologies, data analysis, and the application of atmospheric modeling tools such as HYSPLIT and AERMOD. His educational background has provided him with a solid foundation to analyze environmental challenges and develop actionable strategies for climate resilience.

Experience

Professionally, Mr. Mkasimongwa has served as an air lab manager and teaching assistant at a leading university, where he contributed to climate change adaptation courses, urban air quality studies, and student mentorship. His responsibilities included assisting in research projects, managing laboratory operations, and supporting data collection and analysis for air quality monitoring programs. He has volunteered extensively with international organizations focused on environmental conservation, serving as a youth leader, event coordinator, and radio presenter for environmental awareness programs. His experience spans research assistance, administrative roles, and public engagement, reflecting a multifaceted career in academia, research, and community advocacy.

Research Interest

His research interests encompass climate change, air quality management, extreme meteorological events, and environmental policy evaluation. He is particularly focused on monitoring and managing air pollution in urban environments, utilizing advanced tools such as GIS, SPSS, BenMAP-CE, and other atmospheric modeling systems. His work also explores the impacts of climate-related disasters on urban resilience and community adaptation. Through interdisciplinary approaches, he aims to develop strategies that enhance environmental sustainability and mitigate the effects of climate change on vulnerable populations.

Awards

Mr. Mkasimongwa has been recognized with numerous honors for his academic and community contributions. His accolades include prestigious prizes from international organizations for outstanding leadership in environmental initiatives, multiple academic achievement awards for excellence in research and coursework, and full scholarships for both undergraduate and postgraduate studies. Additionally, he has received recognition for his contributions to youth climate leadership programs, model UN conferences, and community-based environmental conservation efforts. These awards highlight his consistent dedication to both academic excellence and societal impact.

Publications

Mkasimongwa, S. W., Fakour, H., Hassani, H. J., Sultan, B. A., & Lai, H.-C. (2024). “Assessment of Dar es Salaam’s resilience to climate change disasters using the Climate Disaster Resilience Index (CDRI)” in Singapore Journal of Tropical Geography.

Lai, H.-C., Dai, Y.-T., Mkasimongwa, S. W., Hsiao, M.-C., & Lai, L.-W. (2023). “The Impact of Atmospheric Synoptic Weather Condition and Long-Range Transportation of Air Mass on Extreme PM₁₀ Concentration Events” in Atmosphere.

Conclusion

Through his academic, professional, and voluntary engagements, Mr. Simon William Mkasimongwa exemplifies a strong commitment to advancing the field of atmospheric science and climate change mitigation. His ability to integrate research with community outreach and education demonstrates his holistic approach to environmental challenges. With expertise in climate modeling, air quality management, and policy development, he continues to contribute to sustainable development goals and inspire future generations toward responsible environmental stewardship.

Muhammad Tamoor | Data Analysis | Best Researcher Award

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Dr. Muhammad Tamoor | Data Analysis | Best Researcher Award

Shenyang University of Technology | China

Dr. Muhammad Tamoor is a dedicated researcher and academic in the field of Chemical Engineering, with a strong focus on life cycle engineering, sustainability, and advanced computational methods. Currently serving as a Postdoctoral Researcher at Shenyang University of Technology, China, he has made notable contributions to the development of sustainable approaches in materials and energy systems. His academic career reflects a balanced blend of teaching, research, and leadership in international collaborations, positioning him as a promising scholar in sustainable development and green technologies.

Professional Profile

ORCID

Education

Dr. Tamoor earned his Ph.D. in Chemical Engineering from the University of Chinese Academy of Sciences, Beijing, with his research centered on life cycle analysis, biodegradation, and upcycling of plastics. His doctoral work emphasized strategy simulation and life cycle engineering as tools to address global challenges associated with plastic waste and circular economy solutions. Prior to his doctorate, he obtained a Master’s degree in Applied Mathematics from the University of Engineering and Technology, Taxila, where his research explored computational fluid dynamics and heat transfer phenomena. His interdisciplinary educational background, bridging chemical engineering with applied mathematics, provides him with a strong foundation in both theoretical modeling and applied sustainability research.

Experience

Professionally, Dr. Tamoor has held academic and research roles that highlight both his teaching abilities and his research acumen. He began his academic career as a Lecturer at COMSATS University Islamabad, Wah Campus, where he developed expertise in pedagogy and guided undergraduate students in engineering fundamentals. He has also contributed to professional training through specialized courses such as Object-Oriented Programming (C++), which he delivered at the Virtual University of Pakistan. Currently, he is engaged in a Postdoctoral position at Shenyang University of Technology, focusing on lifecycle assessment and techno-economic analysis of advanced concrete systems. His research and teaching experiences demonstrate his versatility and commitment to bridging theoretical knowledge with practical application.

Research Interest

Dr. Tamoor’s primary research interests revolve around sustainability, green process engineering, and life cycle assessment of industrial systems. He has actively contributed to projects examining geopolymer concrete, renewable energy infrastructures, and microbial biodegradation of plastics. His work also extends into computational domains, particularly computational fluid dynamics and population balance models, with applications in large-scale industrial processes such as bubble column reactors. In addition, he has acted as Guest Editor for the journals Frontiers in Manufacturing Technology and Frontiers in Sustainability, where he launched a special research topic on the role of life cycle engineering in developing a circular economy for plastics. His interdisciplinary focus reflects a strong vision for integrating environmental policy, techno-economic considerations, and innovative engineering solutions.

Awards

Throughout his career, Dr. Tamoor has been recognized for academic excellence and research achievements. He received the prestigious “Excellent International Graduate Award” from the Institute of Process Engineering, Chinese Academy of Sciences, acknowledging his outstanding scholarly contributions. He was also awarded the “Chinese Government Scholarship” by the Chinese Scholarship Council, reflecting his commitment to academic excellence at the international level. In addition, he has been honored by national initiatives in Pakistan, including recognition under the Prime Minister’s Laptop Scheme and certificates for participation in innovative research and computational sciences. These accolades highlight both his academic dedication and his potential as a global researcher in sustainability and engineering.

Publications

Tamoor, M., Xing, J. (2025). PET life cycle analysis development for environmental sustainability: global scenario. Environment, Development and Sustainability.

Tamoor, M., Samak, N.A., Xing, J. (2023). Life cycle assessment and policy for the improvement of net-zero emissions in China. Cleaner Engineering and Technology.

Tamoor, M., Samak, N.A., Xing, J. (2023). Pakistan toward Achieving Net-Zero Emissions: Policy and Roadmap. ACS Sustainable Chemistry & Engineering.

Tamoor, M., Samak, N.A., Yang, M., Xing, J. (2022). The Cradle-to-Cradle Life Cycle Assessment of Polyethylene terephthalate: Environmental Perspective. Molecules.

Tamoor, M., Kamran, M., Rehman, S., Farooq, A., Khan, R., Lee, J.R., Shin, D.Y. (2021). Modelling of Applied Magnetic Field and Thermal Radiations Due to the Stretching of Cylinder. Processes.

Conclusion

Dr. Muhammad Tamoor stands out as a dynamic and versatile researcher whose expertise bridges chemical engineering, sustainability, and computational modeling. His contributions to life cycle assessment, plastic biodegradation, renewable energy infrastructures, and sustainable concrete solutions reflect his commitment to addressing pressing global challenges. With his international research collaborations, editorial leadership, and recognized excellence in academia, Dr. Tamoor exemplifies the role of a modern scientist working toward sustainable technological advancements. His career trajectory indicates not only his capacity for innovation but also his dedication to nurturing interdisciplinary approaches for future generations of engineering and sustainability researchers.

Viwe Notole | Augmented Analytics | Best Researcher Award

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Mr. Viwe Notole | Augmented Analytics | Best Researcher Award

University of the Witwatersrand | South Africa

Mr. Viwe Notole is an emerging geoscientist and data analyst whose academic and professional journey reflects a strong dedication to Earth sciences, mining, and geometallurgy. With a foundation built through advanced studies at the University of Fort Hare, University of Johannesburg, and the University of the Witwatersrand, he has developed expertise across geology, mineralogy, geostatistics, and machine learning applications in geosciences. His career aspiration is to contribute meaningfully to the mining and geoscience sectors through innovative research, data-driven approaches, and applied geological solutions that support both industry development and sustainable resource management.

Professional Profile

SCOPUS

Education

Mr. Notole has pursued a comprehensive academic trajectory in geology and mineral sciences. He began his studies with a Bachelor of Science degree in Geology and Chemistry at the University of Fort Hare, where he built the scientific foundation for his career. Advancing further, he completed a B.Sc. Honours in Geology at the University of Johannesburg, refining his technical and analytical skills in applied geosciences. His passion for mineralogy and mining processes led him to the University of the Witwatersrand, where he obtained a Master of Science in Economic Geology with research focused on the mineralogy and processing characteristics of the Elsburg Reefs in the South Deep Gold Mine of South Africa. Currently, he is a doctoral candidate in the field of Geometallurgy at the University of the Witwatersrand, where his research integrates advanced mineral characterization, geostatistics, and metallurgical evaluation to optimize mineral recovery and processing techniques.

Experience

Mr. Notole’s professional experience reflects a blend of field geology, laboratory-based mineral analysis, and applied data analytics. At Umvoto Africa in Cape Town, he worked as a Junior Geologist where he contributed to geological and hydrogeological projects through data acquisition, processing, and interpretation. His responsibilities included supervising borehole drilling and test pumping, conducting geotechnical site investigations, supporting GIS-related tasks, and performing data analysis and visualization for project outcomes. He later joined Mintek, a leading mineral research organization in Randburg, as a Mineralogist Intern. There, he honed his technical skills in mineral characterization using advanced techniques such as X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and QEMSCAN technology. These roles equipped him with a strong interdisciplinary skillset that spans mineral exploration, hydrogeology, mineral processing, and data science applications in the mining industry.

Research Interest

His research interests are primarily centered on economic geology, geometallurgy, and the integration of data analytics into mineral processing. Mr. Notole focuses on investigating the mineralogical and processing characteristics of gold-bearing reefs, with the aim of improving mineral recovery processes. His interests extend to diagnostic leaching, mineral characterization techniques, geostatistical modeling, and the application of machine learning to predict metallurgical performance. By combining traditional geological expertise with modern computational methods, he aims to bridge the gap between field-based geological sciences and advanced data-driven resource optimization. He is particularly passionate about exploring environmentally friendly processing alternatives, such as glycine-based leaching, to support sustainable mining practices.

Awards and Achievements

Among his academic accomplishments, Mr. Notole was formally admitted to the degree of Master of Science in Economic Geology by the University of the Witwatersrand, marking a significant milestone in his scholarly journey. His upcoming publications reflect his commitment to advancing research in geometallurgy, with studies exploring predictive data analytics for gold recovery and innovative leaching techniques using glycine and potassium permanganate. These contributions highlight his role as a young researcher actively pushing the boundaries of mineral processing technologies and sustainable mining practices.

Publication

(2025). “Investigating mineral composition of PGE low-grade ore in Bushveld Igneous Complex, South Africa” in Minerals Engineering.

Conclusion

Mr. Viwe Notole exemplifies the new generation of geoscientists who combine deep geological knowledge with data-driven approaches to solve contemporary challenges in mining and resource management. His academic background, professional experience, and active research contributions position him as a promising figure in the fields of geometallurgy, mineral processing, and applied geosciences. Driven by innovation, sustainability, and the pursuit of scientific excellence, he continues to advance his career with the vision of making a lasting impact on the mining industry and the broader geoscientific community.

Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

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Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.