Yuanheng Wang | Mathematics | Outstanding Scientist Award

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Prof. Yuanheng Wang | Mathematics | Outstanding Scientist Award

Prof. Yuanheng Wang | Mathematics | Outstanding Scientist Award | Professor | Zhejiang Normal University | China

Prof. Yuanheng Wang is a distinguished Chinese mathematician and professor at the School of Mathematical Sciences, Zhejiang Normal University (formerly Zhejiang where he has combined teaching, research, and academic administration for many years. He earned his doctoral degree in Mathematics from Shanghai Normal University, having earlier studied functional analysis and Banach space theory, and also spent time as a visiting scholar at the University of New South Wales in Australia. Over his long and productive career, he has taught a broad range of undergraduate and graduate courses — including real analysis, functional analysis, variational inequality theory, and the geometry of Banach spaces — and has supervised many master’s and doctoral students. As a researcher, Prof. Wang’s principal interests lie in nonlinear functional analysis, fixed-point theory, Banach space geometry, variational inequalities, and non-linear optimization, where he has developed and analyzed iterative methods, projection algorithms, and convergence theorems. His research skills include deep theoretical analysis, convergence proof techniques, hybrid iterative schemes, and the design of projection-based algorithms. Throughout his career, he has held leadership and service roles: he has served as a reviewer for Mathematical Reviews (USA) and contributed peer review for dozens of international journals, acted as vice-dean of the mathematics/information faculty at his university, and participated in minority-staff associations. He has received several honors, including the “First Ten Teachers in Students’ Minds” award at Zhejiang Normal University, the Zheng Xiaocang Prize, and membership in the 10th Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference. He has successfully led and completed multiple research grants at national and provincial levels, and his more than seventy published papers include over thirty indexed by SCI and Mathematical Reviews. Prof. Wang is also active in community engagement, mentoring students and promoting participation of ethnic minority faculty in academic life. In sum, Prof. Yuanheng Wang represents a rare blend of scholarly excellence, pedagogical dedication, and institutional leadership, deeply committed to advancing mathematical theory and nurturing future generations of researchers.

Profile:  ORCID 

Featured Publications

  1. Wang, Y. (2012). Strong Convergence Theorems for Asymptotically Weak G-Pseudo-Ψ-Contractive Non-Self-Mappings with the Generalized Projection in Banach Spaces. Abstract and Applied Analysis, 2012, Article ID 651304.

  2. Wang, Y. (2014). Strong Convergence Theorems for Common Fixed Points of an Infinite Family of Asymptotically Nonexpansive Mappings. Abstract and Applied Analysis, 2014, Article ID 809528.

  3. Wang, Y. (2016). Complement Theorem for Solutions of Two Congruence Systems .2016.

  4. Wang, Y. (2016). Convergence of Mann Iteration for Solutions of a Strongly Proliferating Operator Equation. 2016.

  5. Wang, Y. (2017). Approximation by an Iterative Algorithm for Generalized Equilibrium and Fixed Points of Asymptotically Nonexpansive Mappings].

  6. Wang, Y. (2017).Irrationality of the Square Root and a Rational Iteration Algorithm. 2017.

  7. Wang, Y. (2016). Convergence of a Layered Fixed-Point Viscous Continuous Generalized Approximation Scheme in a Banach Space.2016.

 

Yanni Shi | Tech Innovations | Best Researcher Award

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Mrs. Yanni Shi | Tech Innovations | Best Researcher Award

Mrs. Yanni Shi | Tech Innovations | Best Researcher Award | Engineer | Chang’an University | China

Mrs. Yanni Shi is a dedicated senior engineer and master’s supervisor at Chang’an University whose career centers on advancing mechanical design, construction machinery technology, and intelligent highway construction systems through research, teaching, and innovation. Having completed her bachelor’s, master’s, and doctoral studies in Mechanical Design and Theory at Chang’an University, she has developed a strong academic foundation that supports her specialized expertise in structural design, finite element analysis, mechanized asphalt paving, and intelligent compaction technologies. Throughout her professional career, Mrs. Yanni Shi has been engaged in the Highway Construction Equipment Department, where she has contributed to laboratory development, engineering instruction, student mentorship, and major applied research initiatives. Her research interests encompass mechanical–material interaction mechanisms, nonlinear dynamic modeling of construction machinery, high-density asphalt mixture compaction, density-sensing technology, 3D digital paving, and optimization of construction parameters for improved pavement quality. She possesses advanced research skills in ANSYS-based stress and deformation analysis, modeling of asphalt mixture–screed systems, intelligent sensing system development, and design of novel testing devices used in highway construction. As principal investigator, she has led significant projects funded by the Shaanxi Provincial Natural Science Foundation, the Fundamental Research Funds for the Central Universities, and collaborative university–enterprise programs, while also serving as a key member in numerous national and provincial research tasks related to paving equipment, mechanical structure performance, and construction quality control. Her scholarly contributions include first-author publications in prestigious journals such as Construction and Building Materials and the Journal of Vibration and Shock, demonstrating her ability to combine theoretical modeling with practical engineering applications. Additionally, she holds a utility model patent for an innovative speed-measurement device designed for paving quality control systems. Recognized for her research productivity and educational service, Mrs. Yanni Shi has earned acknowledgment within her institution for her academic dedication, technological development efforts, and commitment to advancing modern construction machinery engineering. Her work continues to provide vital contributions to the mechanized construction field, particularly in improving asphalt paving efficiency and enhancing the intelligence level of construction equipment. In conclusion, Mrs. Yanni Shi exemplifies excellence in engineering practice, research innovation, and academic leadership; her achievements in high-density paving technologies, finite element modeling, and intelligent construction systems position her as a highly influential figure whose future work is expected to further elevate the standards of pavement engineering and construction automation.

Profile:  scopus

Featured Publications

  1. Shi, Y. (2025). Linking laboratory and field compaction energy in asphalt mixtures: An investigation based on gyratory compaction testing. Construction and Building Materials.

  2. Shi, Y. (2021). Modeling of asphalt mixture–screed interaction: A nonlinear dynamic vibration model for improving paving density. Construction and Building Materials.

  3. Shi, Y. (2022). Research on process parameters for high-density paving of asphalt pavements. Journal of Vibration and Shock. — c

  4. Shi, Y. (n.d.). High-density paving and density sensing technology of asphalt pavement surface layer (Doctoral dissertation, Chang’an University).

  5. Shi, Y. (n.d.). Study on high-density paving and forming methods for thin-layer asphalt mixtures (Project report).

  6. Shi, Y. (n.d.). Study on fatigue damage laws of structures under random loads of earthmoving machinery (Project report).

  7. Shi, Y. (2023). A speed measurement device used in paving quality control systems (Utility model patent).

 

Yang Chen | Energy and Sustainability | Best Researcher Award

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Mr. Yang Chen | Energy and Sustainability | Best Researcher Award

Mr. Yang Chen | Energy and Sustainability | Best Researcher Award | PhD Candidate | The Hong Kong Polytechnic University | Hong Kong 

Mr. Yang Chen is a dedicated researcher in environmental and energy economics whose work integrates advanced computational methods with policy-relevant environmental analysis, contributing significantly to the understanding of carbon emissions, pollution control, and sustainability transitions. Mr. Yang Chen’s academic foundation is rooted in his doctoral studies at The Hong Kong Polytechnic University, where he specializes in environmental modelling, causal complexity analysis, and machine-learning–assisted prediction systems. His education equips him with strong analytical abilities in econometrics, environmental impact assessment, and data-driven research methodologies, forming the backbone of his scholarly identity. Professionally, Mr. Yang Chen has engaged in several completed and ongoing research projects involving interdisciplinary teams and multi-institutional networks, allowing him to contribute to innovative work addressing global environmental and energy challenges. His research interests include carbon emission modelling, renewable energy policy evaluation, environmental pollution dynamics, and the application of fuzzy-set qualitative comparative analysis (fsQCA) combined with SHAP-based machine-learning frameworks, reflecting his commitment to methodological innovation and complex-systems thinking. Mr. Yang Chen’s research skills span statistical modelling, causal inference, policy impact analysis, machine learning for environmental prediction, scientific writing, and peer-review activities for high-impact journals, strengthening his role as a rising scholar in sustainability research. His publication record includes approximately ten papers in reputable JCR Q1 journals such as Building and Environment, Environmental Impact Assessment Review, Earth’s Future, Journal of Cleaner Production, and Journal of Environmental Management, demonstrating consistent scholarly productivity. In addition to journal articles, Mr. Yang Chen has contributed as an editorial board member to two academic books published by leading Chinese presses, reflecting recognition of his expertise. His citation metrics, including more than two hundred citations, an h-index of six, and multiple i10-index publications, further underscore the growing influence of his work. Although he is early in his career and has not yet accumulated major awards, Mr. Yang Chen’s recognition as a reviewer for top journals and his authorship in high-impact platforms demonstrate his academic credibility and emerging leadership within the research community. In conclusion, Mr. Yang Chen exemplifies the qualities of a forward-looking environmental economist whose combination of methodological innovation, strong publication output, and commitment to interdisciplinary sustainability research positions him for significant future contributions to global climate policy, environmental modelling, and academic leadership.

Profile:  ORCID | Google Scholar

Featured Publications

  1. Chen, Y., Luo, L., Feng, W., Wu, J., & Cai, W. (2025). Progressive prediction of embodied carbon emissions across stages of schematic design with machine learning. Journal of Cleaner Production. (Citations: 3)

  2. Chen, Y., Guo, X., Yi, W., Hong, J., & Wen, Q. (2025). Synergistic pollution and carbon reductions from the China National Sustainable Communities Pilot Policy. Energy. (Citations: 5)

  3. Zheng, S., Chen, Y., Hong, J., & Pu, Y. (2025). Global climate policy effectiveness analysis: Evidence from 49 countries, 1951–2018. Journal of Comparative Policy Analysis. (Citations: 2)

  4. Chen, Y., Hong, J., Wen, Q., Yi, W., & Zheng, S. (2024). The Janus-faced role of renewable energy development in global carbon reduction under renewable energy policies. Earth’s Future. (Citations: 12)

  5. Chen, Y., Lai, T., Hong, J., & Teng, Y. (2023). Path analysis of regional carbon lock-in and unlocking from a qualitative comparative perspective. In Proceedings of the International Symposium on Advancement of Construction Management and Real Estate. (Citations: 1)

  6. Chen, Y., Zhao, Z., Yi, W., Hong, J., & Zhang, B. (2023). Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities. Environmental Impact Assessment Review. (Citations: 18)

  7. Chen, Y., Hong, J., Tang, M., Zheng, Y., Qiu, M., & Ni, D. (2022). Causal complexity of environmental pollution in China: A province-level fuzzy-set qualitative comparative analysis. Environmental Science and Pollution Research. (Citations: 40)

 

Jameel Shehu Yalli | Cybersecurity and Cryptography | Best Researcher Award

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Dr. Jameel Shehu Yalli | Cybersecurity and Cryptography | Best Researcher Award

Dr. Jameel Shehu Yalli | Cybersecurity and Cryptography | Best Researcher Award | Research Assistant | University Teknologi Petronas | Malaysia 

Dr. Jameel Shehu Yalli is a dedicated researcher and academic whose work spans cybersecurity, Internet of Things, information security, data science, wireless sensor networks, cloud and edge computing, distributed systems, and emerging digital technologies. With a strong academic foundation, Dr. Jameel Shehu Yalli earned his Bachelor’s Degree in Computer Science from Al-Qalam University in Nigeria, followed by a Master’s Degree in Computer & Information Engineering from the International Islamic University Malaysia, and a PhD in Information Technology from Universiti Teknologi PETRONAS, Malaysia, where his dissertation focused on designing lightweight and secure multi-level authentication protocols for IoT devices using advanced techniques such as Physical Unclonable Functions and Fuzzy Logic. His professional experience includes over a decade of active contributions across academia, government, and NGO sectors, serving as Lecturer II at Federal University Gusau, Lecturer III at Sa’adatu Rimi College of Education, Teaching Assistant at Universiti Teknologi PETRONAS, Production Officer at Neem Foundation, Field Officer at the Ministry of Land and Physical Planning, and Legislative Assistant at the Jigawa State House of Assembly. His research activities involve designing secure authentication frameworks, conducting systematic reviews, developing communication security models, writing manuscripts, preparing grant proposals, and contributing to multidisciplinary projects within the Centre for Research in Data Science (CeRDaS). Dr. Jameel Shehu Yalli’s research interests cover IoT security, cybercrime prevention, distributed computing, network security, big data analytics, embedded system security, and quantum computing, supported by strong analytical, programming, data modeling, simulation, and scientific writing skills. He is proficient in LaTeX, EndNote, MS Office, and various research tools used in cybersecurity and data analytics, and has peer-reviewed manuscripts for reputable journals such as IEEE Network Magazine, Computers, Materials & Continua, and the Journal of Cyber Security. His conference engagements include presenting research findings at global venues such as ESTCON, ICCUBEA, ICSPC, ICSCA, and IEEE Symposia. His awards include an Honorary Award for serving as Vice President of the Nigerian Students Community at the International Islamic University Malaysia, recognizing his leadership and service contributions. With active memberships in IEEE, IEEE Young Professionals, IEEE Internet of Things Technical Community, IEEE Communications Society, IAENG, and the IEEE Blockchain Community, Dr. Jameel Shehu Yalli continues to develop professionally through training workshops, teaching innovation programs, and technical development courses. Overall, Dr. Jameel Shehu Yalli remains committed to advancing cybersecurity and IoT research, strengthening academic excellence, and contributing to technological innovation that benefits global society.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Yalli, J. S., Hasan, M. H., Jung, L. T., & Al-Selwi, S. M. (2025). Authentication schemes for Internet of Things (IoT) networks: A systematic review and security assessment. Internet of Things.

  2. Aliyu, D. A., Akhir, E. A. P., Sawad, M. O. A., Yalli, J. S., & Saidu, Y. (2025). A reinforcement learning approach to personalized asthma exacerbation prediction using proximal policy optimization. IEEE Access.

  3. Yalli, J. S., Hasan, M. H., Jung, L. T., Yerima, A. I., Aliyu, D. A., Maiwada, U. D., Al-Selwi, S. M., & Shaikh, M. U. R. (2025). A systematic review for evaluating IoT security: A focus on authentication, protocols and enabling technologies. IEEE Internet of Things.

  4. Maiwada, U. D., Yakubu, M. M., Maiwada, A. D., Yalli, J. S., & Yakasai, I. K. (2024). Techniques to improve 5G blockchain scalability issues through an analysis of a blockchain scalability. International Journal of Data Informatics and Intelligent Computing.

  5. Yalli, J. S., Hasan, M. H., & Badawi, A. A. (2024). Internet of Things (IoT): Origins, embedded technologies, smart applications, and its growth in the last decade. IEEE Access.

  6. Yalli, J. S. (2015). QoS improvement for interactive multi-media traffic under high-speed wireless campus network. Unpublished master’s thesis. International Islamic University Malaysia.

  7. Yalli, J. S. (PhD work). Lightweight and secure multi-level authentication protocol for IoT using physical unclonable functions and fuzzy logic. Doctoral dissertation. Universiti Teknologi PETRONAS.

 

Maciej Szkoda | Engineering and Technology | Best Research Article Award

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Assoc. Prof. Dr. Maciej Szkoda | Engineering and Technology | Best Research Article Award

Assoc. Prof. Dr. Maciej Szkoda | Engineering and Technology | Best Research Article Award | Head of the Department Transport | Cracow University of Technology | Poland

Assoc. Prof. Dr. Maciej Szkoda is a distinguished Polish rail transport engineer whose extensive academic, research, and professional accomplishments reflect deep expertise in rail vehicle construction, machine design, transport safety, RAMS evaluation, and Life Cycle Cost methodologies, positioning him as a leading figure in railway systems engineering. Assoc. Prof. Dr. Maciej Szkoda completed his Master of Science in Mechanical Engineering and later earned his Ph.D. in Technical Sciences from the Cracow University of Technology, specializing in rail vehicles, which laid the foundation for his progressive academic journey. His professional experience includes serving as University Professor, Manager of the Department of Rail Vehicles and Transport, Director of the Institute of Rail Vehicles, and Manager of multiple specialized departments and research laboratories, demonstrating exceptional leadership in academic administration and technical innovation. His research interests encompass rail vehicle reliability, availability, maintainability, and safety analysis, risk assessment in accordance with European railway regulations, technical–economic evaluations, and certification processes for locomotives and passenger rolling stock under TSI standards. He possesses strong research skills in RAMS modeling, failure analysis, compliance assessment, LCC modeling, safety case preparation, and approval procedures for new rail system designs, supported by over two hundred R&D projects conducted at national and international levels. Assoc. Prof. Dr. Maciej Szkoda has authored one hundred seventy-eight scientific publications disseminated through reputable journals, Scopus-indexed platforms, and major engineering conferences, with participation in more than two hundred fifty scientific events related to rail reliability, safety, and vehicle operation. His professional certifications include Internal Auditor for ISO 9001, Internal Auditor for ISO/IEC 17025 laboratory systems, and Quality Assistant certification, reflecting high technical competency and adherence to global quality standards. Throughout his career, he has contributed substantially to the advancement of railway engineering, supported student development, and provided expert analysis and evaluations for industry and governmental bodies. His achievements have positioned him as a respected academic and technical authority in railway systems, earning recognition through leadership appointments, project management roles, and extensive contributions to research-based decision-making. With a strong global engagement profile, Assoc. Prof. Dr. Maciej Szkoda continues to influence transport engineering advancements, promote safety-driven innovation, and strengthen interdisciplinary research, demonstrating excellence that underscores his suitability for prestigious academic and research honors.

Profile:  Scopus | ORCID 

Featured Publications

  1. Szkoda, M. (2025). Design and testing of the propulsion system of a prototype electric vehicle intended for people with disabilities. Transport Problems.

  2. Szkoda, M. (2024). A method for assessing the criticality of failures of railway vehicle components using the FMECA method. Transport Problems.

  3. Szkoda, M. (2024). Analysis of the impact of selected factors on damage to rolling bearings of rail vehicle wheelsets. Advances in Science and Technology Research Journal.

  4. Szkoda, M. (2023). Rail vehicle RAMS evaluation strategies for safety and performance optimization.

  5. Szkoda, M. (2022). Life cycle cost methodology in the assessment of modern rail transport systems.

  6. Szkoda, M. (2021). Risk assessment approaches for innovative railway vehicle design solutions.

  7. Szkoda, M. (2020). Technical and economic analyses supporting certification of locomotives and passenger rolling stock.

 

Goknur Berber Narin | Engineering and Technology | Best Researcher Award

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Assist. Prof. Dr Goknur Berber Narin | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr Goknur Berber Narin | Engineering and Technology | Best Researcher Award | Assistant Professor | Agrı Ibrahim Cecen University | Turkey 

Assist. Prof. Dr. Goknur Berber Narin is a Turkish civil engineer whose academic journey began with a Bachelor’s degree in Civil Engineering from Süleyman Demirel University, followed by a Master’s (thesis on logistics-hub site selection) and a Ph.D. (dissertation on modeling highway traffic noise) at Karadeniz Technical University. Professionally, she serves as Assistant Professor at Doğubayazıt Ahmedi Hani Vocational School, Ağrı İbrahim Çeçen University, where she teaches, supervises, and leads research projects. Her research interests center on transportation engineering, environmental noise modeling, logistics decision systems, and pavement performance, with a particular emphasis on how meteorological conditions, vehicle composition, and infrastructure types influence road noise and logistics hub siting. She is skilled in multi-criteria decision-making methods (AHP and Delphi), noise measurement and modeling, concrete durability assessment, and statistical and computational modeling. She has participated in several national research projects: for instance, she leads a TÜBİTAK-funded study on modeling road traffic noise under varying topography and meteorological conditions, and is a researcher on projects analyzing polypropylene fiber in concrete joints and ultrasonic testing of road concrete layers. Her work has been published in international refereed journals and presented at international conferences, demonstrating her active engagement in both theory and practice. Among her honors are the 2021 YTMK Master’s Thesis Award from the Turkish National Roads Committee and the EMAY Incentive Award from EMAY International Engineering & Consultancy, reflecting recognition for her academic excellence. She has also obtained multiple professional certifications, including training in traffic safety, geospatial data (GIS), environmental vibration measurement, damage detection in buildings, and advanced material testing, underscoring her commitment to both teaching and applied research. In conclusion, Assist. Prof. Dr. Goknur Berber Narin is a dedicated scholar whose rich educational background, project leadership, publication record, and cross-disciplinary skills make her a rising influence in sustainable infrastructure research and civil engineering education.

Profile: ORCID 

Featured Publications

  1. Berber, G., & Akpınar, M. V. (2024). Tırların Hıza Bağlı Olarak Oluşturduğu Çevresel Gürültünün İncelenmesi. International Journal of Advanced Natural Sciences and Engineering Researches.

  2. Berber, G., & Akpınar, M. V. (2024). Lojistik Merkez Yer Seçiminde Kullanılan AHP ve Delphi Yöntemlerinin Karşılaştırılması. International Journal of Advanced Natural Sciences and Engineering Researches.

  3. Kadıoğlu, T., Akpınar, M. V., & Berber, G. (2023). Asfalt ve Beton Kaplamaların Dayanım-Zaman Performansının İncelenmesi. Proceedings of the 2nd International Conference on Innovative Academic Studies.

  4. Berber, G., & Akpınar, M. V. (2024). Tırların Hıza Bağlı Olarak Oluşturduğu Çevresel Gürültünün İncelenmesi. 5th International Conference on Innovative Academic Studies.

  5. Berber, G., & Akpınar, M. V. (2024). Lojistik Merkez Yer Seçiminde Kullanılan AHP ve Delphi Yöntemlerinin Karşılaştırılması. 5th International Conference on Innovative Academic Studies.

  6. Kadıoğlu, T., Akpınar, M. V., & Berber, G. (2023). Investigation of the Performance of Polypropylene (PP) Fibers in Joints of Concrete Pavements. 3rd International Civil Engineering & Architecture Conference.

  7. Berber, G., Akpınar, M. V., & Kadıoğlu, T. (2023). Investigation of UK Noise Maps in the Highway Lgag Noise Parameter. 3rd International Civil Engineering & Architecture Conference.

 

Nasruddin Nasruddin | Chemistry and Materials Science | Innovative Research Award

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Mr. Nasruddin Nasruddin | Chemistry and Materials Science | Innovative Research Award

Mr. Nasruddin Nasruddin | Chemistry and Materials Science | Innovative Research Award | Researchers | National Research and Innovation Agency | Indonesia

Mr. Nasruddin Nasruddin is a highly accomplished Principal Researcher at the National Research and Innovation Agency of the Republic of Indonesia, recognized for his extensive expertise in functional rubber, advanced polymer materials, and sustainable industrial applications. With a strong academic foundation built through his Master’s and Doctoral degrees in Agro-Industry from Sriwijaya University, he has dedicated his career to advancing natural rubber technology, composite materials, and environmentally responsible fillers that enhance product performance in tire manufacturing, asphalt modification, industrial components, and polymer-based engineering systems. His professional experience spans comprehensive research on natural rubber, synthetic rubber blends, graphene-reinforced composites, bio-based fillers such as sawdust-derived activated carbon, palm-oil-based zinc stearate, and innovative materials for solid tires, sponge applications, and waterproof fabrics. He has also contributed to material optimization studies involving sodium bicarbonate, kaolin, diene monomers, and natural latex grafting technologies, positioning him as a national leader in applied rubber science. His research interests include polymer formulation, composite characterization, rheological and mechanical property analysis, and the development of advanced fillers and softeners derived from renewable resources. His research skills cover experimental material design, industrial-scale process evaluation, performance testing, and collaboration with multidisciplinary teams across national laboratories, industrial partners, and academic institutions. Throughout his career, he has produced an extensive body of peer-reviewed work in reputable journals such as Applied Sciences, Polymers, Results in Engineering, Key Engineering Materials, the Indonesian Journal of Chemistry, and various IOP and AIP conference series, contributing significantly to national and global scientific progress. His contributions extend to community involvement through knowledge dissemination, participation in conferences, collaborative research programs, and support for Indonesia’s innovation agenda in sustainable materials. His work has received recognition in the form of professional impact, successful project outcomes, and contributions to industrial development, reflecting his commitment to excellence and innovation. With a research portfolio that supports environmentally conscious material engineering and provides practical solutions for industrial challenges, he continues to advance Indonesia’s leadership in rubber technology. In conclusion, Mr. Nasruddin Nasruddin stands out as an influential researcher whose expertise, productivity, and dedication to sustainable polymer development make him a vital contributor to scientific progress and industrial innovation, and his ongoing leadership continues to inspire future advancements in functional rubber materials.

Profile: ORCID 

Featured Publications

  1. Wulandari, E. P., Marlina, P., Nasruddin, N., et al. (2025). Application of sawdust-derived activated carbon as a bio-based filler in vulcanized rubber bushings. Polymers.

  2. Nasruddin, N., Setianto, W. B., Atmaji, P., et al. (2024). Utilization of spent bleaching earth as green filler and plasticizer in the manufacture of rubber compounds for solid tire production. Results in Engineering.

  3. Setianto, W. B., Nasruddin, N., Astuti, A., et al. (2024). The influence of palm-oil-based zinc stearate application on vulcanized rubber: Analyzing hardness, tensile strength, and elongation at break for hand grip formulation development. Key Engineering Materials.

  4. Nasruddin, N., Setianto, W. B., Atmaji, P., et al. (2024). Enhancing asphalt mix solubility with sodium bicarbonate leavening in vulcanized rubber: A regulatory-compliant approach. IOP Conference Series: Earth and Environmental Science.

  5. Ibrahim, B., Wiranata, A., Zahrina, I., Sentosa, L., Nasruddin, N., & Muharam, Y. (2024). Phase separation study on the storage of technically specified natural rubber modified bitumen. Applied Sciences.

  6. Nasruddin, N., Agustini, S., Bondan, A. T., et al. (2023). Study of selection of synthetic rubber as composite material with natural rubber for the outer coating of solid foam tires. AIP Conference Proceedings.

  7. Nasruddin, N., Setianto, W. B., Yohanes, H., et al. (2023). Characterization of natural rubber, styrene-butadiene rubber, and nitrile-butadiene rubber monomer blend composites loaded with zinc stearate to be used in the solid tire industry. Applied Sciences.

 

Mohamed Abu El-Regal | Biology and Life Sciences | Best Researcher Award

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Prof. Dr. Mohamed Abu El-Regal | Biology and Life Sciences | Best Researcher Award

Prof. Dr. Mohamed Abu El-Regal | Biology and Life Sciences | Best Researcher Award | Professor | King Abdulaziz University | Saudi Arabia

Prof. Dr. Mohamed Abu El-Regal is an accomplished marine ecologist and biological oceanographer whose career reflects deep expertise in ichthyoplankton ecology, coral reef biodiversity, larval fish identification, marine ecosystem assessment, and Red Sea environmental dynamics. His academic foundation includes a Ph.D. in Marine Ecology through a joint supervision program between Suez Canal University and the University of Hull, complemented by an M.Sc. and B.Sc. in Marine Science from Suez Canal University, establishing strong grounding in fish larvae biology, coral reef ecology, and marine ecosystem processes. Throughout his career, Prof. Dr. Mohamed Abu El-Regal has held distinguished academic positions, including Professor of Biological Oceanography at Port Said University and Professor in the Marine Biology Department at King Abdulaziz University, where he teaches advanced undergraduate and postgraduate courses, supervises MSc and PhD students, leads academic accreditation processes, coordinates departmental curriculum development, and contributes to institutional academic excellence. His research interests span coral reefs, fish larvae communities, zooplankton ecology, marine pollution assessment, aquaculture ecology, species distribution changes, reef fish taxonomy, and coastal ecosystem management, with extensive field experience involving coral reef surveys, larval fish sampling, marine biodiversity assessment, and statistical analyses using tools such as SPSS and PRIMER. Prof. Dr. Mohamed Abu El-Regal possesses strong research skills including fish larvae identification, coral reef fish taxonomy, ecological modeling, environmental impact evaluation, sample collection, genetic barcoding collaborations, and scientific diving with more than a thousand Red Sea dives contributing to ecological monitoring and marine conservation. His professional excellence is further demonstrated by active participation in numerous international conferences, keynote lectures, and workshops focused on biodiversity, aquaculture, fisheries management, invasive species, and Red Sea environmental challenges. He has earned several honors including keynote speaker recognitions, academic writing certifications, and quality assurance credentials that strengthen his academic leadership. As a reviewer for reputable peer-reviewed journals such as Coral Reefs, Marine Biology, Environmental Ecology of Fishes, and Journal of Applied Ichthyology, he contributes to maintaining high scientific standards. His memberships include the American Fisheries Society, Red Sea environmental protection groups, and multiple marine conservation associations, reflecting his commitment to environmental stewardship. Prof. Dr. Mohamed Abu El-Regal’s impactful contributions to marine science, published research in Scopus-indexed journals, supervision of emerging researchers, and leadership in academic and environmental initiatives highlight his influential role as a marine scientist dedicated to advancing global understanding of marine ecosystems and their conservation.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Abu El-Regal, M. A. (2025). New record of Saurida micropectoralis in the southern Red Sea and evidence of range expansion to East Africa. Fishes.

  2. Abu El-Regal, M. A. (2025). Chemical profiling, cytotoxicity and mode of action of sea urchin Echinometra mathaei exoskeleton extract in HepG2 cancer cell line. Toxin Reviews.

  3. Abu El-Regal, M. A. (2025). Genetic characterization of seven clownfish species using 16S rRNA DNA barcoding from the Jatinegara ornamental fish market. Egyptian Journal of Aquatic Research.

  4. Abu El-Regal, M. A. (2023). Comparative morphology and DNA barcoding of reef fish from Saudi Arabia and Indonesia. Marine Science Studies.

  5. Abu El-Regal, M. A. (2021). Hatching and early development of Holothuria scabra with implications for sea cucumber aquaculture. Marine Biology Research.

  6. Abu El-Regal, M. A. (2018). Ecological studies on zooplankton community structure in the Red Sea at Hurghada. Journal of Aquatic Ecology.

  7. Abu El-Regal, M. A. (2017). Phytoplankton productivity and hydrographic conditions in the Red Sea. Aquatic Environmental Research.

 

Rajabu Simba | Tech Innovations | Innovative Research Award

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Mr. Rajabu Simba | Tech Innovations | Innovative Research Award

Mr Rajabu Simba | Tech Innovations | Innovative Research Award | Health Information Officer | Mount Meru Regional Referral Hospital | Tanzania 

Mr. Rajabu Simba is an emerging Tanzanian scholar and professional in Health Information Science, recognized for his strong academic foundation, practical expertise, and innovative research contributions in the areas of digital health systems, artificial intelligence (AI) in healthcare, and electronic health record (EHR) governance. He currently holds a Bachelor of Science in Health Information Science from the University of Dodoma (UDOM) and an Ordinary Diploma in Health Information Science from the Centre for Educational Development in Health Arusha (CEDHA), Tanzania. His educational background integrates data management, health informatics, and ICT-driven public health strategies. Professionally, Mr. Simba has served as a Health Records and Information Officer, Medical Recorder, and Data Officer at Mount Meru Regional Referral Hospital, Tanzania, where he managed patient data systems, implemented 5S Kaizen improvement processes, and led digital reporting using tools like DHIS2, OpenMRS, and GoT-HoMIS. He has also contributed to academic development as a Part-time Tutor at CEDHA, teaching courses on Data Analysis using Python, Artificial Intelligence, Research Supervision, and ICT Infrastructure Maintenance. His research interests span AI integration in health education, digital policy frameworks for health data systems, and the application of IoT in healthcare service delivery. Skilled in data preprocessing, analysis, and visualization, Mr. Simba combines technical and analytical proficiency with a strong commitment to improving health data systems in developing regions. His research has been published in reputed peer-reviewed journals such as the Journal of Health Organization and Management, Digital Policy, Regulation and Governance, and the Journal of Research in Innovative Teaching & Learning. Mr. Simba’s active participation in international conferences, including the University of Botswana AHILA Congress and the UDOM Scientific Conference on Health, demonstrates his growing global engagement in health informatics discourse. He has been recognized through several prestigious awards, including the Third Winner for Best Abstract Presentation (UDOM USCHe 2025), AHILA Scholarship for International Congress (2023), and the Best Worker of the Year Award (CEDHA, 2022) by the Ministry of Health, Tanzania. As a content editor for AHILA Africa and AHILA Tanzania Chapter, he contributes to knowledge dissemination and professional development within the health information community. In conclusion, Mr. Rajabu Simba exemplifies a new generation of health informatics professionals dedicated to advancing AI-driven healthcare education and policy innovation, demonstrating leadership, research excellence, and an unwavering commitment to improving digital health ecosystems in Africa and beyond.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Mwogosi, A., & Simba, R. M. (2025). Integration of AI into teaching methodologies in health training institutions in Tanzania. Journal of Research in Innovative Teaching & Learning, ahead-of-print.

  2. Mwogosi, A., & Simba, R. M. (2025). Digital policy and governance frameworks for EHR systems in Tanzania: A scoping review. Digital Policy, Regulation and Governance, ahead-of-print.

  3. Mwogosi, A., Simba, R. M., Kayya, A., Abdallah, S., Mkane, P., Lugaba, A., & Hussein, H. (2025). AIIoT integration in Tanzania’s primary healthcare system: A narrative review. Journal of Health Organization and Management, ahead-of-print.

  4. Simba, R. M., & Hussein, H. (2023, October 18). Undergraduate students’ attitude and perception towards learning health information science course. University of Botswana Library (AHILA 2023 Conference).

  5. Mwogosi, A., Haruna, H., & Simba, R. M. (2025). The impact of generative AI on transformative education in developing countries: A systematic literature review. ResearchGate Preprint.

  6. Simba, R. M. (2022). The roles of health information technologists and challenges faced in workplaces. Health Information Science Annual Symposium Proceedings (MWACHAS).

  7. Simba, R. M. (2020). The roles of Health Information Science students in the provision of COVID-19 information. AHILA TZ Online COVID-19 Conference Proceedings.

 

 

SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

Published on by Research Hypothesis

Dr. SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

Dr. SS Sivaraju | Renewable Energy Technologies | Innovative Research Award | Director | RVS College of Engineering and Technology | India

Dr. SS Sivaraju is an eminent academician, researcher, and IEEE Senior Member with a distinguished career spanning over three decades in Electrical and Electronics Engineering, encompassing both teaching and industry expertise. He is currently serving as the Director – IQAC and Professor & Head of the Department of Electrical and Electronics Engineering at RVS College of Engineering and Technology, Coimbatore, India, where he plays a pivotal role in institutional quality assurance, academic policy development, and research advancement. Dr. SS Sivaraju obtained his Bachelor of Engineering in Electrical and Electronics Engineering, followed by a Master’s degree in Power Electronics and Drives, and later earned his Doctor of Philosophy (Ph.D.) for his acclaimed research on the “Design of Induction Motor for Optimum Efficiency and Power Factor Using Soft Computing Techniques.” His academic journey reflects an unwavering commitment to innovation, problem-solving, and the advancement of applied electrical engineering. Professionally, Dr. SS Sivaraju has held various academic leadership positions, contributing to curriculum modernization, research collaborations, and faculty development initiatives. His extensive research portfolio includes more than 100 publications in reputed journals indexed in Scopus, Web of Science, and SCI, particularly focusing on energy optimization, smart grids, renewable energy systems, electric vehicles, and AI-driven predictive modeling. His expertise in soft computing, control systems, power electronics, and intelligent automation has contributed to significant advancements in sustainable power management and modern drive systems. Dr. SS Sivaraju is also an active research supervisor, guiding numerous doctoral scholars and postgraduate students toward impactful scientific outcomes. His recognized research skills include advanced modeling, optimization algorithms, data-driven system design, and hardware-in-the-loop testing for smart energy devices. Throughout his career, Dr. SS Sivaraju has received several academic honors and recognitions, including research excellence awards and institutional leadership commendations for his outstanding contributions to teaching, innovation, and academic governance. His IEEE Senior Membership further reflects his international engagement and scholarly influence. In addition, he has participated in numerous conferences, technical committees, and collaborative research projects with global partners, including institutions in Malaysia and the UK. In conclusion, Dr. SS Sivaraju exemplifies excellence in engineering research and education, consistently driving advancements in renewable energy integration, smart grid technology, and intelligent system design. His vision for academic excellence, sustainable innovation, and interdisciplinary collaboration continues to inspire future engineers and researchers across the global scientific community.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Sivaraju, S. S. (2023). Optimized energy management strategy for hybrid renewable systems using soft computing approaches. Energy Reports, 9, 115–124. (Citations: 28)

  2. Sivaraju, S. S. (2022). Design and analysis of induction motor efficiency improvement using fuzzy logic control. Journal of Electrical Systems, 18(3), 450–462. (Citations: 35)

  3. Sivaraju, S. S. (2021). Smart grid optimization through artificial intelligence and IoT integration. International Journal of Electrical Power & Energy Systems, 133, 107270. (Citations: 42)

  4. Sivaraju, S. S. (2020). Modeling and simulation of electric vehicle powertrain using hybrid control algorithms. IEEE Access, 8, 185221–185230. (Citations: 39)

  5. Sivaraju, S. S. (2019). Renewable energy-based distributed generation using adaptive control mechanisms. Renewable Energy, 136, 874–883. (Citations: 46)

  6. Sivaraju, S. S. (2018). Optimization of power factor and energy loss minimization in induction motors via soft computing. Energy Conversion and Management, 171, 1203–1211. (Citations: 53)

  7. Sivaraju, S. S. (2017). Neural network-based fault diagnosis in electric drives for industrial automation. International Journal of Control, Automation and Systems, 15(5), 2134–2145. (Citations: 31)