Dr . SamiraZafarnak | Hydrogenation | Best Researcher Award

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Dr .SamiraZafarnak | Hydrogenation | Best Researcher Award

Dr . Samira Zafarnak , Shiraz University , Iran

A passionate and driven researcher 🎓, this individual holds a Ph.D. in Chemical Engineering 🧪 from Shiraz University, with specialized expertise in catalysis, materials science, and sustainable energy 🌱. With academic and industrial experience in both Iran 🇮🇷 and the United Kingdom 🇬🇧, they bring a global, interdisciplinary approach 🌍 to research. Their current postdoctoral role at the Methanol Institute involves pioneering catalytic processes for methanol synthesis and CO₂ conversion 🔬. Renowned for their adaptability, collaboration 🤝, and critical problem-solving skills 💡, they contribute impactful knowledge in clean energy technologies and environmentally responsible engineering 🌐.

Professional Profile

SCOPUS

ORCID

Education & Experience

This accomplished researcher earned their Ph.D. 🎓 in Chemical Engineering from Shiraz University (2019–2023), with a dissertation on biogas reforming using nano clay catalysts 🔍. They also completed an M.Sc. (2014–2017) in the same field, focusing on ethane to ethylene conversion 🔬, and a B.Sc. (2009–2013) from Islamic Azad University 📘. Their academic journey is complemented by hands-on research in catalytic design and plasma systems during postdoctoral appointments in Iran 🇮🇷 and the UK 🇬🇧. Their current role involves catalyst fabrication, reactor design 🏗️, and gas chromatography-based evaluation at the Methanol Institute 🔧.

Professional Development

In their postdoctoral career, this researcher has embraced interdisciplinary growth 🌐 by engaging in high-level catalyst synthesis, plasma engineering ⚡, and reactor design. They contributed to RF-driven plasma jet development at the University of York 🇬🇧, analyzing hydroxyl density using spectrometry 🧫. At the Methanol Institute, they design scaled-up reactors and evaluate novel catalysts for CO₂ hydrogenation and RWGS reactions 🔁. They demonstrate a commitment to safety standards, laboratory excellence 🧪, and continuous learning 📈. These experiences have strengthened their adaptability, analytical thinking, and global collaboration capacity 🤝 in cutting-edge chemical engineering applications.

Research Focus

Their research focus centers on catalysis, sustainable energy conversion, and CO₂ utilization 🌱. By exploring noble/non-noble metal catalysts over nano-structured supports, they aim to make energy processes cleaner and more efficient ♻️. Their work bridges fields such as heterogeneous catalysis, nanomaterials 🧲, and plasma applications in chemical reactions ⚛️. Key areas include biogas reforming, methanol synthesis, and the Reverse Water Gas Shift (RWGS) reaction 🔄. Their research contributes to global efforts in green technology, reducing carbon emissions 🌍, and advancing the next generation of chemical reactors and materials innovation 🔧.

Awards & Honors

This dedicated scientist has earned recognition through competitive academic placements and impactful research appointments 🌟. Their Ph.D. research was praised for its innovation in sustainable energy systems ⚡. They were selected as a Postdoctoral Associate at the prestigious University of York 🇬🇧 and later as a Fellow at the Methanol Institute 🇮🇷, where they lead pivotal reactor design projects 🏗️. Their work has been highlighted in academic presentations and journal submissions 📚. A strong candidate for future research excellence awards 🥇, their contributions to catalytic engineering and green chemistry have marked them as a rising talent in chemical innovation 🧪.

Publication Top Notes

1. Dry reforming of methane for CO₂ conversion using sintering-resistant halloysite-supported Ni catalysts enhanced by alkaline-earth metal oxide promoters

Citation:
Zafarnak, S. (2025). Dry reforming of methane for CO₂ conversion using sintering-resistant halloysite-supported Ni catalysts enhanced by alkaline-earth metal oxide promoters. Fuel, Published: 2025-03-19.
Roles: Writing – review & editing, Data curation, Formal analysis, Methodology, Writing – original draft, Funding acquisition.

2. Design and fabrication of a microchannel plasma reactor for pharmaceutical wastewater treatment

Citation:
Peiravi, M., Zafarnak, S., & Taghvaei, H. (2025). Design and fabrication of a microchannel plasma reactor for pharmaceutical wastewater treatment. Journal of Water Process Engineering, 107007. https://doi.org/10.1016/j.jwpe.2025.107007

3. Zeolite and molecular sieves for natural gas dehydration

Citation:
Zafarnak, S., & Rahimpour, M. R. (2024). Zeolite and molecular sieves for natural gas dehydration. In Advances in Natural Gas: Formation, Processing, and Applications. https://doi.org/10.1016/B978-0-443-19221-0.00002-8

4. Membrane technology for syngas production

Citation:
Zafarnak, S., Meshksar, M., Rahimpour, H. R., & Rahimpour, M. R. (2023). Membrane technology for syngas production. In Advances in Synthesis Gas: Methods, Technologies and Applications. https://doi.org/10.1016/B978-0-323-91871-8.00007-6

5. Postdisaster issues and problems

Citation:
Zafarnak, S., Rahmatmand, B., & Rahimpour, M. R. (2023). Postdisaster issues and problems. In Crises in Oil, Gas and Petrochemical Industries. https://doi.org/10.1016/B978-0-323-95163-0.00015-3

Conclusion

Dr. Zafarnak embodies the essence of a “best researcher” through her scientific rigor, innovation, and dedication to sustainable technologies. Her work not only contributes significantly to the scientific community but also addresses critical global challenges in energy, environment, and chemical engineering. The combination of her academic excellence, international impact, and practical contributions makes her a standout candidate for any Best Researcher Award.

Prof Miao Yu | Periodontics | Best Researcher Award

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Prof Miao Yu | Periodontics | Best Researcher Award

Prof Miao Yu , Department of Periodontics, School and Hospital of Stomatology, Guangzhou Medical University, Guangzhou 510182, China

Dr. Miao Yu 👩‍⚕️ is the Chief Physician and Deputy Director at the Department of Periodontics, Guangzhou Medical University 🏥. A seasoned clinician, educator, and researcher, she has published over 30 peer-reviewed articles 📚, authored multiple books 📖, and secured several patents for innovations in stomatology 🦷. With international experience including a postdoctoral fellowship at KU Leuven 🇧🇪, she leads major research and teaching projects in China 🇨🇳. Dr. Yu actively contributes to clinical practice, student mentorship 👩‍🏫, and interdisciplinary scientific advancements, making her a recognized expert in periodontology and oral health innovation 🌐.

Professional Profile

ORCID

Education & Experience

Dr. Yu earned her PhD in Stomatology 🦷 from Wuhan University in 2017 🎓. She further advanced her expertise through a postdoctoral fellowship at KU Leuven 🇧🇪 from 2022 to 2023. With rich experience as a Chief Physician and Deputy Director at Guangzhou Medical University 🏥, she supervises master’s students and leads clinical and academic programs. Her work spans over 30 national and regional research projects 🧪, blending medical practice with innovation and teaching. Her extensive experience in oral medicine and periodontics makes her a leader in both academic and hospital-based care ⚕️.

 Professional Development

Dr. Yu continuously engages in professional growth 📈 through leadership roles in national and university-level research initiatives 🧬. She has co-authored three major academic books 📚, contributed to scientific knowledge through high-impact journals, and applied cutting-edge teaching techniques like flipped classrooms 👩‍🏫. As a principal investigator and collaborator, she’s active in grant-funded projects from agencies like the Chinese Scholarship Council and Guangdong Provincial Department of Education 📊. With international exposure and a focus on innovative pedagogy and clinical research, she remains committed to improving oral health education and patient outcomes 🌍.

Research Focus

Dr. Yu’s research lies at the intersection of periodontology, oral-systemic diseases, and clinical innovation 🦷💉. She explores host-pathogen interactions, Toxoplasma gondii’s role in periodontal disease 🧫, and biofilm resistance to dental materials 🦠. Her patents reflect a focus on developing tools for diagnosis and surgical support 🛠️. Additionally, she researches medical education reforms and DNA vaccine efficacy in oral health contexts 🧬. With a multidisciplinary lens, she bridges immunology, microbiology, and clinical practice to pioneer better diagnostics, therapeutics, and teaching in stomatology ⚕️📘.

Awards & Honors

Dr. Yu has earned national recognition for her contributions in oral medicine and public health 🎖️. She’s led and contributed to over 30 research projects 🧪, securing multiple prestigious grants 🎓. Her innovations have resulted in five patents, with one already granted 🔬. She serves as deputy editor in three academic volumes 📚 and has co-authored numerous peer-reviewed papers in top-tier journals 🌟. Her recent recognition includes support from the Chinese Scholarship Council and major educational reforms in Guangdong Province 🏅. Dr. Yu is celebrated as a scientific and academic leader in dental research and innovation 🌐.

Publication Top Notes

1. The application of the flipped classroom teaching method in periodontal medical education

Citation:
Cao, H., Wu, Y., Guo, M., Tang, C., Yang, K., Jiang, Q., Yu, M. (2025, Aug). The application of the flipped classroom teaching method in periodontal medical education. Learning and Instruction, 98, Article 102148. https://doi.org/10.1016/j.learninstruc.2025.102148

Summary:
A randomized controlled study (n=63) comparing flipped classroom (FC) vs. traditional lectures in periodontal education. The FC group demonstrated significantly better clinical skills, test scores, and medical record writing (p<0.05), with gains sustained two years later sciencedirect.com+2booksci.cn+2sciencedirect.com+2. The study supports FC as an effective, enduring instructional model in dental training.

2. The emerging role of Toxoplasma gondii in periodontal diseases and underlying mechanisms

Citation:
Cao, H., Lin, J., Yuan, H., Yang, Z., Nie, M., Pathak, J.L., Yuan, Z.-G., Yu, M.* (2024, Oct 3). The emerging role of Toxoplasma gondii in periodontal diseases and underlying mechanisms. Frontiers in Immunology, 15, 1464108. https://doi.org/10.3389/fimmu.2024.1464108

Summary:
This review explores how T. gondii, traditionally considered a systemic parasite, can invade periodontal tissues and disrupt the immune microenvironment. It details mechanisms like cytokine modulation, oxidative stress, and interaction with immune cells, offering a novel perspective on periodontal pathogenesis jglobal.jst.go.jp+6frontiersin.org+6colab.ws+6doaj.org.

3. Differential transcriptome study on the damage of testicular tissues caused by chronic infection of T. gondii in mice

Citation:
Li, H., Yuan, H., Yang, Z., Song, Y., Wang, J., Wen, Q., Zheng, Y., Zhang, X., Yu, M.* & Yuan, Z.-G. (2024, Jun 10). Differential transcriptome study on the damage of testicular tissues caused by chronic infection of T. gondii in mice. Parasites & Vectors, 17, Article 252. https://doi.org/10.1186/s13071-024-06247-z

Summary:
This transcriptomic analysis in mice reveals genetic pathways linked to testicular tissue damage from chronic T. gondii infection, identifying oxidative stress and immune responses as key contributors. Insights may guide fertility-risk assessments and therapeutic interventions in parasitic infections.

4.  In vitro evaluation of the antibacterial effect of four root canal sealers on dental biofilms

Citation:
Liu, H., Li, H., Zhang, L., Wang, Z., Qian, J., Yu, M.* & Shen, Y. (2022, Jun). In vitro evaluation of the antibacterial effect of four root canal sealers on dental biofilms. Clinical Oral Investigations, 26, 2345–2356. https://doi.org/10.1007/s00784-022-04399-9

Summary:
This study tested four common endodontic sealers against dental biofilms formed by E. faecalis and other pathogens. Results showed variable efficacy among products, underscoring the importance of selecting sealers based on antimicrobial performance to prevent post-treatment infections.

5. Lactobacillus acidipiscis induced regulatory gamma delta T cells and attenuated experimental autoimmune encephalomyelitis

Citation:
Ren, S., Zhang, X., Guan, H., Wu, L., Yu, M., Hou, D., Yan, Y. & Fang, X. (2021, Feb 19). Lactobacillus acidipiscis induced regulatory gamma delta T cells and attenuated experimental autoimmune encephalomyelitis. Frontiers in Immunology, 12, Article 623451. https://doi.org/10.3389/fimmu.2021.623451

Summary:
This immunology study found that L. acidipiscis triggers regulatory γδ T cells to suppress autoimmune neuroinflammation in an EAE mouse model. It supports probiotic-based neuronal protection strategies.

6. Efficacy of the photon-initiated photoacoustic streaming combined with different solutions on Enterococcus faecalis in the root canals

Citation:
Wen, C., Kong, Y., Zhao, J., Li, Y., Yu, M., Zeng, S., Shi, Z. & Jiang, Q. (2020, Jun). Efficacy of the photon-initiated photoacoustic streaming combined with different solutions on Enterococcus faecalis in the root canals. Microscopy Research & Technique, 83(6), 700–710. https://doi.org/10.1002/jemt.23455

Summary:
This in vitro study evaluates a photoacoustic streaming technique paired with irrigants to disinfect E. faecalis-infested root canals. The method significantly enhanced bacterial removal, indicating promise for endodontic therapy advancements.

Conclusion

Dr. Miao Yu is an outstanding researcher whose work epitomizes clinical relevance, interdisciplinary depth, and educational leadership. Her strong patent portfolio, impactful publications, and contribution to teaching innovation position her as an ideal candidate for the Best Researcher Award. She not only advances periodontal research but also shapes the future of dental education and practice—a hallmark of an award-worthy scholar.

 

Dr .Walter Fabricio Silva Martins | Public Health | Best Review Paper Award

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Dr .Walter Fabricio Silva Martins | Public Health | Best Review Paper Award

Associate researcher , Liverpool School of Tropical Medicine , United Kingdom

Dr. W. Fabricio S. Martins 🇧🇷 is a Wellcome Trust Postdoctoral Fellow 🧪 at the Liverpool School of Tropical Medicine 🇬🇧. A tropical medicine expert, his work focuses on insecticide resistance in disease-transmitting mosquitoes like Aedes aegypti 🦟. Formerly a Senior Lecturer in Brazil 🇧🇷, he joined LSTM’s Vector Biology Department in 2018. His research investigates how unregulated domestic insecticide use 🏠 impacts public health and vector resistance. He has authored key publications 📚, reviewed for major journals, and spoken at international conferences 🎤. Dr. Martins combines entomology, epidemiology, and public health to drive impactful global research 🌍.

Professional Profile

ORCID

Education & Experience

Dr. Martins holds a PhD in Tropical Medicine 🧫 (LSTM, UK, 2016), an MSc in Animal Biology 🐒 (Federal University of Pernambuco, 2006), and a BSc in Biology 🧬 (UEPB, Brazil, 2002). He was a Senior Lecturer 👨‍🏫 at Paraíba State University (2006–2018), contributing to teaching and research in vector biology. In 2018, he rejoined LSTM as an Associate Researcher 🧑‍🔬, and in 2023 began his Wellcome Trust Fellowship 👨‍🎓. His experience spans academia, research, and global health fieldwork 🌎. Fluent in Portuguese 🇵🇹 and English 🇬🇧, he effectively collaborates across international teams on complex vector-borne disease issues.

Professional Development

Dr. Martins has built a diverse professional portfolio including academic teaching 📚, scientific research 🔬, and international collaboration 🤝. As a reviewer for top-tier journals 📝 like PLOS Neglected Tropical Diseases and Parasites & Vectors, he maintains rigorous standards in vector research. His invited talks 🎤 and moderator roles, such as at the World Congress on Infectious Diseases (Rome, 2023), reflect his reputation as a thought leader 🧠. He also mentors junior researchers 👥, applying strong leadership and communication skills 🗣️. His public health-driven approach integrates science with community needs for lasting impact 🌍.

Research Focus

Dr. Martins’ research centers on medical entomology 🦟 and vector-borne disease dynamics 🔍. He investigates the evolution of insecticide resistance, especially in Aedes aegypti, and how human behavior 🧍‍♂️🏠 influences the efficacy of vector control strategies. His current work explores how unregulated domestic insecticide use 🔥 impacts resistance and public health outcomes. He focuses on arboviral diseases like dengue, Zika, and chikungunya 🧬, emphasizing sustainable intervention approaches 📊. His goal is to inform global policy decisions 🏛️ through evidence-based science and promote smarter vector control programs worldwide 🌐.

Awards & Honors

Dr. Martins received the prestigious Wellcome Trust Training Fellowship in Public Health and Tropical Medicine 🎓 (2018–2023), supporting his pioneering research on household insecticide use. He also held national research fellowships for his MSc and PhD studies in Brazil 🇧🇷. Recognized for his expertise, he has served as a peer reviewer 📄 for leading journals since 2013 and participated in international scientific panels 🌍. His work is widely cited and has informed vector control strategies globally 🧪. His accolades reflect a career devoted to innovation, scientific integrity, and global public health impact 🌟.

Publication Top Notes

1. Improving the efficiency of aerosolized insecticide testing against mosquitoes

Citation:
Martins, W. F. S., Reid, E., Tomlinson, S., Evans, G., Gibson, J., Guy, A., Donnelly, M., & Weetman, D. (2023). Improving the efficiency of aerosolized insecticide testing against mosquitoes. Scientific Reports, 13, Article 6281. https://doi.org/10.1038/s41598-023-33460-0

Summary:
This study presents a novel and optimized method to improve the efficiency and reliability of testing aerosolized insecticides on mosquitoes. The research highlights how traditional testing methods may not accurately reflect real-world conditions, potentially leading to misjudgment of product efficacy. By refining exposure protocols, the study offers a more robust approach for evaluating household insecticide effectiveness, which is crucial for public health decision-making in vector control.

2. Development and application of a tri-allelic PCR assay for screening Vgsc-L1014F kdr mutations associated with pyrethroid and organochlorine resistance in the mosquito Culex quinquefasciatus

Citation:
Martins, W. F. S., Pereira, B. N. S., Alves, A. T. V., Murphy, A., Martins, P. G. S., Weetman, D., Wilding, C. S., & Donnelly, M. J. (2019). Development and application of a tri-allelic PCR assay for screening Vgsc-L1014F kdr mutations associated with pyrethroid and organochlorine resistance in the mosquito Culex quinquefasciatus. Parasites & Vectors, 12, Article 1. https://doi.org/10.1186/s13071-019-3490-z

Summary:
This paper introduces a sensitive and cost-effective PCR-based molecular diagnostic tool for detecting tri-allelic variations in the Vgsc-L1014F gene. These mutations are strongly linked to resistance against pyrethroids and organochlorines in Culex quinquefasciatus. The tool enhances the ability to monitor and track resistance evolution in mosquito populations, supporting better-targeted control interventions.

3. Transcriptomic analysis of insecticide resistance in the lymphatic filariasis vector Culex quinquefasciatus

Citation:
Martins, W. F. S., Wilding, C., Isaacs, A. T., Rippon, E. J., Megy, K., & Donnelly, M. J. (2019). Transcriptomic analysis of insecticide resistance in the lymphatic filariasis vector Culex quinquefasciatus. Scientific Reports, 9, Article 11406. https://doi.org/10.1038/s41598-019-47850-w

Summary:
Utilizing transcriptome analysis, this study reveals gene expression profiles linked to insecticide resistance in Culex quinquefasciatus, a major vector of lymphatic filariasis. Key metabolic resistance mechanisms, such as overexpression of detoxification enzymes, are identified. This research provides critical molecular insights for designing more effective mosquito control strategies and mitigating resistance.

4. Local selection in the presence of high levels of gene flow: Evidence of heterogeneous insecticide selection pressure across Ugandan Culex quinquefasciatus populations

Citation:
Martins, W. F. S., Wilding, C. S., Steen, K., Mawejje, H., Antão, T. R., & Donnelly, M. J. (2017). Local selection in the presence of high levels of gene flow: Evidence of heterogeneous insecticide selection pressure across Ugandan Culex quinquefasciatus populations. PLOS Neglected Tropical Diseases, 11(10), e0005917. https://doi.org/10.1371/journal.pntd.0005917

Summary:
The study investigates insecticide resistance patterns in Culex quinquefasciatus across Uganda. Despite high gene flow, resistance profiles were found to be spatially heterogeneous, indicating localized selection pressures. This implies that national-scale control programs may be less effective if local variation is not considered, emphasizing the need for region-specific strategies.

5. Detection and quantitation of copy number variation in the voltage-gated sodium channel gene of the mosquito Culex quinquefasciatus

Citation:
Martins, W. F. S., Subramaniam, K., Steen, K., Mawejje, H. D., Liloglou, T., Donnelly, M. J., & Wilding, C. (2017). Detection and quantitation of copy number variation in the voltage-gated sodium channel gene of the mosquito Culex quinquefasciatus. Scientific Reports, 7, Article 5821. https://doi.org/10.1038/s41598-017-06080-8

Summary:
This publication focuses on detecting copy number variations (CNVs) in the voltage-gated sodium channel (VGSC) gene, which plays a critical role in resistance to pyrethroids. By developing a quantitative assay, the authors reveal the extent of CNVs in field populations. The findings underscore the role of gene duplication in resistance and inform molecular surveillance strategies.

6. Genetic variability and spatial distribution in small geographic scale of Aedes aegypti under different climatic conditions in Northeastern Brazil

Citation:
Steffler, L. M., Dolabella, S. S., Ribolla, P. E. M., Dreyer, C. S., Araújo, E. D., Oliveira, R. G., Martins, W. F. S., & La Corte, R. (2016). Genetic variability and spatial distribution in small geographic scale of Aedes aegypti (Diptera: Culicidae) under different climatic conditions in Northeastern Brazil. Parasites & Vectors, 9, Article 530. https://doi.org/10.1186/s13071-016-1814-9

Summary:
This study examines the genetic structure and distribution of Aedes aegypti populations in relation to microclimatic conditions in Brazil. It finds significant variability even at small geographic scales, influenced by local environmental factors. The results support targeted vector control strategies tailored to specific ecological contexts.

Conclusion

Dr. Walter Fabrício Silva Martins demonstrates exceptional research productivity, real-world impact, and a sustained commitment to global health challenges. His work significantly advances our understanding of insecticide resistance and vector-borne disease control. Therefore, he is highly deserving of a Best Review paper Award, particularly in the fields of Tropical Medicine, Vector Biology, and Public Health Entomology.

Ramadan Ahmed | Natural Gas Engineering | Best Researcher Award

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Ramadan Ahmed | Natural Gas Engineering | Best Researcher Award

Professor , University of Oklahoma , United States

Dr. Ramadan Ahmed is a distinguished professor and Mewbourne Chair in Petroleum Engineering at the University of Oklahoma 🇺🇸. With a PhD from NTNU 🇳🇴 and decades of international experience, he specializes in drilling technologies, wellbore hydraulics, and solids transport. Dr. Ahmed’s innovative research integrates machine learning 🤖 with traditional engineering principles to solve complex problems in energy systems and well control. A prolific author in top-tier journals 📚, he mentors students across undergraduate and graduate levels while advancing the science of safe, efficient, and sustainable drilling practices 🌍🛢️.

Professional Profile

SCOPUS

ORCID

Education & Experience 

Dr. Ahmed earned his PhD 🥼 and MSc 📘 in Petroleum Engineering from NTNU, Norway 🇳🇴, after completing a BSc in Chemical Engineering from Addis Ababa University, Ethiopia 🇪🇹. He began his career as a Process Engineer 🏭 before moving into academia and consulting. His professional journey includes roles as Research Associate 🔬 and Senior Researcher at the University of Tulsa, and later as a full professor at the University of Oklahoma 🌟. With over three decades of experience in petroleum engineering 🚛, he has specialized in drilling simulation, cement degradation, and managed pressure drilling with both academic depth and industry insight 🛠️.

Professional Development

Dr. Ahmed’s professional journey reflects a commitment to continuous growth and knowledge dissemination 📈🎓. He integrates emerging technologies like AI and ML into traditional petroleum engineering systems 🤖, reshaping wellbore modeling and failure prediction. As a mentor and educator, he develops next-generation engineers by teaching advanced drilling technologies and simulation methods 👨‍🏫🛠️. He frequently publishes in prestigious journals 📚 and collaborates with global experts to tackle real-world drilling challenges 🌍🔧. His involvement in international research, peer review, and conference presentations 🎤 ensures he stays at the forefront of drilling innovation and professional development.

Research Focus 

Dr. Ahmed’s research centers on drilling engineering, wellbore hydraulics, and multiphase flow systems 🛢️🔍. His interests include cuttings transport, fluid rheology, managed pressure drilling, and well control ⚙️💧. He also explores the integration of machine learning in predictive modeling, such as fatigue analysis of hydrogen pipelines and the degradation of cement and tubulars 🤖🧪. With a focus on simulation, instrumentation, and non-Newtonian fluid mechanics, his work supports safer and more efficient operations in deep and complex wells 🌐. His research bridges traditional petroleum engineering with digital innovation for modern energy solutions ⚡🔬.

Awards & Honors 

🏆 Dr. Ahmed holds the prestigious Mewbourne Chair in Petroleum Engineering at the University of Oklahoma, a recognition of his excellence in research and teaching.
📚 He has published extensively in top journals like SPE Journal, Engineering Failure Analysis, and Geoenergy Science.
🎤 Regularly invited as a conference speaker at global petroleum engineering forums, he shares insights on drilling optimization and digital transformation.
🧠 His work on machine learning in energy systems and wellbore performance has earned peer recognition.
🌟 A global thought leader, Dr. Ahmed continues to shape the future of drilling engineering and sustainability.

Publication Top Notes

1. Novel Machine Learning Modeling Approach for Fatigue Failure of Hydrogen-Transporting Pipelines

Authors: Nayem Ahmed, Ramadan M. Ahmed, Catalin Teodoriu, Michael Gyaabeng
Journal: SPE Journal | Year: 2025 | Citations: 0
🔍 Summary:
This study introduces a novel machine learning (ML) framework for predicting fatigue failure in pipelines used for transporting hydrogen. The model leverages large-scale data and advanced feature selection techniques to evaluate pipeline structural integrity under cyclic stress. This approach significantly improves predictive accuracy and provides a safer, data-driven alternative to traditional fatigue analysis in hydrogen energy systems.
🤖🔧💥

2. Optimization of Radial Jet Drilling for Hard Formations Present in Deep Geothermal Wells

Authors: Ramadan M. Ahmed, Catalin Teodoriu
Journal: Geoenergy Science and Engineering | Year: 2024 | Citations: 2
🔍 Summary:
The paper explores the enhancement of radial jet drilling (RJD) in hard rock formations typically encountered in deep geothermal wells. Through experimental and computational analysis, the authors present techniques for improving nozzle efficiency, optimizing jet parameters, and reducing energy consumption. The study supports geothermal energy advancement by offering cost-effective drilling alternatives.
🌋🛠️🌡️

3. Effects of Clay Contamination on the Stability of Aqueous Foams at High Pressure

Authors: Oyindamola Obisesan, Ramadan M. Ahmed, Nayem Ahmed, Mahmood Amani
Journal: SPE Journal | Year: 2024 | Citations: 1
🔍 Summary:
This research examines how clay particles affect the structural stability and performance of aqueous foam systems under high-pressure conditions. The findings are vital for operations in managed pressure drilling and underbalanced drilling, where foam stability plays a crucial role in maintaining well control and cuttings transport efficiency.
🧪🌡️🌫️

4. Effects of Pipe Rotation on the Performance of Fibrous Water-Based Polymeric Fluids in Horizontal Well Cleanout

Authors: Sergio P. Garcia, Michael Mendez, Ramadan M. Ahmed, Mustafa S. Nasser, Ibnelwaleed A. Hussein
Journal: SPE Journal | Year: 2024 | Citations: 1
🔍 Summary:
This paper investigates the influence of pipe rotation on the performance of fibrous polymeric drilling fluids used during horizontal well cleanout. The study demonstrates that rotational motion enhances the fluid’s carrying capacity and improves debris transport efficiency in horizontal and deviated wellbores.
🔄🛢️🔬

5. Modeling of Necking Area Reduction of Carbon Steel in Hydrogen Environment Using Machine Learning Approach

Authors: Nayem Ahmed, Mohamed Aldaw, Ramadan M. Ahmed, Catalin Teodoriu
Journal: Engineering Failure Analysis | Year: 2024 | Citations: 6
🔍 Summary:
Utilizing ML techniques, this article models the behavior of carbon steel in hydrogen-rich environments—specifically necking and deformation before failure. This research is significant for hydrogen pipeline design and safety, offering predictive tools for hydrogen embrittlement mitigation.
🧠⚙️📉

6. Conference Paper: Novel ML Modeling Approach for Fatigue Failure of Hydrogen-Transporting Pipelines

Authors: Nayem Ahmed, Ramadan M. Ahmed, Catalin Teodoriu, Michael Gyaabeng
Conference Paper | Year: 2025 | Citations: 0
🔍 Summary:
A conference version of the journal article listed above, this paper presents the methodology and preliminary findings for the machine learning framework developed to predict fatigue in hydrogen-transporting pipelines.
🎤📊🔍

Conclusion 

Dr. Ramadan M. Ahmed stands out as a leading figure in petroleum engineering 🛢️, combining academic excellence 🎓, extensive industry experience 🏭, and pioneering research 🔬. His contributions to drilling technology, machine learning applications 🤖, and hydrogen pipeline safety 💥 continue to shape the future of energy engineering. Through teaching, mentorship, and global collaboration 🌍, he exemplifies innovation and leadership in the field. With a strong educational foundation 📚 and a forward-thinking research portfolio 🚀, Dr. Ahmed remains a driving force in solving critical challenges in drilling and wellbore management technologies.

 

 

 

 

Alexios Kaponis | Computer Science | Excellence in Research

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Mr. Alexios Kaponis | Computer Science | Excellence in Research

PhD Candidate,Ionian University , Greece

Alexios Kaponis is a promising researcher with a robust portfolio of work in AI and digital marketing, focused on both technical innovation and ethical implications. His research output, coupled with hands-on project experience and a solid educational foundation, positions him as a dedicated and impactful researcher. He continues to develop expertise that addresses both theoretical and applied challenges in computer science.

Professional Profile

🎓 Educational Background

Alexios Kaponis was born in Patras on August 6, 1987. He earned his diploma in Cultural Management from the Department of Management of Cultural Environment and New Technologies at the University of Ioannina in 2009. Later, he obtained a master’s degree in Technologies and Management from the Department of Information and Communication Systems Engineering at the University of the Aegean in 2017. Currently, Alexios is pursuing a doctoral degree in Computer Science at the University of the Ionian Islands. His PhD research focuses on “Data analysis in digital marketing using machine learning and artificial intelligence techniques, business analysis, practices, and ethical dimensions in e-commerce.”

🧑‍🏫 Professional Experience

Alexios currently works as an Intelligent Software Solutions expert at the National Research Centre for Physical Sciences (NCRS) “Demokritos.” Since April 2024, he has been involved in the WP2 Data Inspection and Generation and WP5 Trustworthy Efficiency & Performance Assessment Framework projects, focusing on advanced machine learning and AI tools to improve risk prediction and fraud detection. His responsibilities include proposing new intelligence tool developments, conducting data analysis, and leveraging big data and cloud-based technologies.

🔬 Research Focus

Alexios’s research primarily centers on the application of machine learning and AI techniques in digital marketing, with a strong emphasis on ethical and legal dimensions in e-commerce. He investigates the use of natural language processing and large-scale data mining for business intelligence and enhanced customer engagement. His ongoing doctoral work explores innovative data analysis methodologies to support decision-making in marketing strategies. Furthermore, he contributes to projects aiming to improve AI reliability and trustworthiness in practical applications, such as fraud detection and chatbot development.

🛠️ Skills and Expertise

Alexios possesses strong expertise in big data, data analytics, artificial intelligence, data management, and cloud computing technologies. He has hands-on experience with machine learning, natural language processing, semantic web technologies, and digital marketing analytics. Additionally, Alexios is proficient in web development tools such as Joomla and WordPress and skilled in Google Analytics. He is fluent in Greek and highly proficient in English, complemented by a computer diploma certified by the University of Ioannina.

🏅 Awards & Honours

Alexios was distinguished by the General Secretariat for Lifelong Learning for his successful completion of a 25-hour seminar dedicated to training teachers in vocational adult education. His active participation as an examiner in national qualification certification examinations highlights his commitment to professional excellence in IT education. He has also presented and published multiple papers at prestigious international conferences, reflecting recognition of his research contributions in artificial intelligence, digital marketing, and assistive technologies.

Publication Top Notes

  1. Assist of AI in a Smart Learning Environment

    • Authors: K.C. Sofianos, Michalis Stefanidakis, Alexios Kaponis, Linas Bukauskas

    • Year: 2024

    • Citation count: 1

  2. Data Analysis in Digital Marketing using Machine Learning and Artificial Intelligence Techniques, Ethical and Legal Dimensions, State of the Art

    • Author: Alexios Kaponis, M. Maragoudakis

    • Year: 2022

    • Citation count: (Not provided, please add if known)

  3. Case Study Analysis of Medical and Pharmaceutical Chatbots in Digital Marketing and Proposal to Create a Reliable Chatbot with Summary Extraction Based on Users’ Keywords

    • Authors: Alexios S. Kaponis, Alexios A. Kaponis, Manolis Maragoudakis

    • Year: 2023

    • Citation count: (Not provided)

  4. Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification

    • Authors: Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, Manolis Maragoudakis

    • Year: 2023

    • Citation count: (Not provided)

Conclusion

Given his achievements and ongoing contributions, Alexios Kaponis is a fitting candidate for the Excellence in Research Award. Recognizing his work would not only honor his past accomplishments but also encourage further advancements in AI-driven research that balances innovation with ethical responsibility. With continued focus on increasing research impact and leadership, Alexios is well poised for future excellence in his field.

Bhanu Bhusan Khatua | Energy Materials | Best Researcher Award

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Prof. Dr. Bhanu Khatua | Energy Materials | Best Researcher Award

Professor , Indian Institute of Technology Kharagpur , India

Prof. Dr. Bhanu Bhusan Khatua is a highly accomplished researcher whose work in polymer science, nanomaterials, and energy harvesting systems positions him as a leader in materials science. His high-impact publications, prestigious awards, and consistent research funding reflect a robust and mature research portfolio. He has demonstrated exceptional academic mentorship and built meaningful global collaborations that have amplified his research footprint. His interdisciplinary approach addresses both fundamental science and real-world applications, aligning strongly with the goals of a Best Researcher Award.

Professional Profile

🎓 Educational Background

Prof. Dr. Bhanu Bhusan Khatua holds a Ph.D. in Polymer Science and Engineering from the Materials Science Centre, Indian Institute of Technology (IIT) Kharagpur, awarded in 2001. His academic journey began with a B.Sc. with Honours in Chemistry from Vidyasagar University in 1994, followed by an M.Sc. in Chemistry in 1996 from the same institution, where he graduated First Class First. His outstanding academic performance earned him the University Gold Medal and the Biswanath De Gold Medal for securing the top rank.

🧑‍🏫 Professional Experience

Prof. Khatua has been an Associate Professor at the Materials Science Centre, IIT Kharagpur since August 2013. He previously served as an Assistant Professor at the same institute from 2007 to 2013. His industrial research experience includes working as a Research Scientist at GE India Technology Centre, Bangalore (2004–2007). He has also completed prestigious postdoctoral fellowships at Technion – Israel Institute of Technology (2000–2002) and POSTECH, South Korea (2002–2004).

🔬 Research Focus

Prof. Khatua’s research is primarily centered on Energy Materials, including piezoelectric, triboelectric, and hybrid nanogenerators for energy harvesting and supercapacitors for energy storage. He is also active in developing EMI shielding materials using polymeric and hybrid composites. Additional areas of specialization include polymer/clay nanocomposites, morphology control in incompatible polymer blends, and electrically conducting polymeric PTCR composites.

🛠️ Skills and Expertise

Prof. Khatua has deep expertise in polymer science, nanocomposites, and functional materials. He is skilled in material synthesis, characterization, and device-level application, with a strong focus on bridging fundamental science with industrial relevance. He is also known for his leadership in interdisciplinary research, mentoring, and collaboration.

🏅 Awards & Honours

Prof. Dr. Bhanu Bhusan Khatua has received numerous prestigious awards and recognitions throughout his academic and research career. He is a Fellow of the West Bengal Academy of Science and Technology (WAST) 🧪, honored for his significant contributions to science and technology in the region. In 2022, he was awarded the Materials Research Society of India (MRSI) Medal 🥇 in recognition of his outstanding work in the field of materials science. His global impact was acknowledged when he was listed among the World’s Top 2% Scientists 🌍 in 2021, based on a comprehensive citation analysis by Stanford University.

Publication Top Notes

1. Title: Effect of organoclay platelets on morphology of nylon-6 and poly (ethylene-ran-propylene) rubber blends
Authors: BB Khatua, DJ Lee, HY Kim, JK Kim
Citations: 448
Year: 2004

2. Title: An approach to design highly durable piezoelectric nanogenerator based on self‐poled PVDF/AlO‐rGO flexible nanocomposite with high power density and energy conversion efficiency
Authors: SK Karan, R Bera, S Paria, AK Das, S Maiti, A Maitra, BB Khatua
Citations: 422
Year: 2016

3. Title: Self-powered flexible Fe-doped RGO/PVDF nanocomposite: an excellent material for a piezoelectric energy harvester
Authors: SK Karan, D Mandal, BB Khatua
Citations: 410
Year: 2015

4. Title: Polystyrene/MWCNT/graphite nanoplate nanocomposites: efficient electromagnetic interference shielding material through graphite nanoplate–MWCNT–graphite nanoplate networking
Authors: S Maiti, NK Shrivastava, S Suin, BB Khatua
Citations: 336
Year: 2013

5. Title: Nature driven bio‐piezoelectric/triboelectric nanogenerator as next‐generation green energy harvester for smart and pollution free society
Authors: S Maiti, SK Karan, JK Kim, BB Khatua
Citations: 206
Year: 2019

6. Title: Highly exfoliated eco-friendly thermoplastic starch (TPS)/poly (lactic acid)(PLA)/clay nanocomposites using unmodified nanoclay
Authors: B Ayana, S Suin, BB Khatua
Citations: 195
Year: 2014

7. Title: Nature driven spider silk as high energy conversion efficient bio-piezoelectric nanogenerator
Authors: SK Karan, S Maiti, O Kwon, S Paria, A Maitra, SK Si, Y Kim, JK Kim, BB Khatua
Citations: 180
Year: 2018

8. Title: Recent advances in self‐powered tribo‐/piezoelectric energy harvesters: all‐in‐one package for future smart technologies
Authors: SK Karan, S Maiti, JH Lee, YK Mishra, BB Khatua, JK Kim
Citations: 178
Year: 2020

9. Title: Bio-waste onion skin as an innovative nature-driven piezoelectric material with high energy conversion efficiency
Authors: S Maiti, SK Karan, J Lee, AK Mishra, BB Khatua, JK Kim
Citations: 175
Year: 2017

10. Title: Designing high energy conversion efficient bio-inspired vitamin assisted single-structured based self-powered piezoelectric/wind/acoustic multi-energy harvester with remarkable output
Authors: SK Karan, S Maiti, AK Agrawal, AK Das, A Maitra, S Paria, A Bera, R Bera, BB Khatua
Citations: 147
Year: 2019

Conclusion

In conclusion, Prof. Dr. Bhanu Bhusan Khatua is a highly suitable and deserving candidate for the Best Researcher Award. His extensive publication record, global impact, innovation, mentorship, and recognitions collectively present a compelling case. While he can further elevate his profile through deeper industry engagement and global leadership roles, his existing credentials already meet and exceed many benchmarks typical of such honors. Awarding him would recognize both past excellence and future promise.

Muhammad Waseem | Econometrics | Young Scientist Award

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Mr Muhammad Waseem | Econometrics | Young Scientist Award

Research Assistant , COMSATS University Islamabad , Pakistan

An enthusiastic 🌱 economics researcher with an M.Phil. in Economics, this individual is passionate about sustainable development, macroeconomic policy, and trade 📈. With hands-on experience in advanced econometric techniques such as GMM, Panel ARDL, and Threshold Models 🧠, they skillfully apply tools like Stata and EViews 💻. Their work focuses on institutional quality, environmental economics 🌍, and policy-making grounded in evidence. Currently pursuing an M.S. in Economics at COMSATS University Islamabad 🎓, they are actively engaged in research training and mentorship, striving to contribute to impactful economic analysis and policy innovation ✍️📊.

Professional Profile

SCOPUS

Education & Experience 

🎓 Completed BS Economics from Abdul Wali Khan University Mardan (2019–2023) and currently pursuing an MS in Economics at COMSATS University Islamabad (2023–ongoing). Gained hands-on experience through internships and research assistance roles at PIDE 📚, COMSATS 🏛️, and Habib Bank Limited 🏦. Their roles involved data cleaning, econometric estimation, literature reviews, thesis guidance 📑, and policy analysis. With a strong grip on statistical software such as Stata and EViews 💻, they bring both academic rigor and practical exposure to every research project they contribute to.

Professional Development

📊 As a research assistant under the Ba-Ikhtiyar Nau Jawan Internship Program at COMSATS, this scholar contributed to academic mentoring, econometric analysis, and class presentations. At PIDE, they developed practical expertise in data interpretation, report writing, and policy implications 🧾. Their internship at Habib Bank Limited added financial sector exposure 🏦. These experiences enriched their analytical thinking, problem-solving skills, and communication 📢. By continuously participating in workshops and collaborative research environments, they are committed to evolving as a well-rounded economist and policy contributor 🤝📈.

Research Focus 

Their research revolves around panel data analysis 📊, with a focus on international trade, sustainability, and institutional quality 🌍. They explore the dynamic interactions between macroeconomic policy, development economics, and environmental sustainability ♻️. Methodologically, they specialize in GLS, GMM, fixed/random effects, panel cointegration, and threshold models 📉. Their work aims to inform evidence-based policymaking by integrating economic theory with statistical rigor 🧠. Using tools like Stata and EViews 💻, they conduct in-depth analyses that highlight both global and local dimensions of development, trade flows, and governance effectiveness 🔬.

Awards & Honors 

🏆 While specific awards were not listed, their consistent academic performance and selection for competitive roles such as research assistantships at PIDE and COMSATS signal recognition of their talent 📚. Being chosen for the Ba-Ikhtiyar Nau Jawan Internship Program reflects trust in their research capability and leadership in economic inquiry 🌟. Their role in mentoring undergraduate students in econometrics and thesis development demonstrates academic excellence 👩‍🏫. Further accolades are anticipated as they continue to contribute to impactful research and policy discussions both nationally and globally 🌐📈.

Publication Top Notes

1. High Removal Efficiency of Arsenite from Aqueous Solution by Cobalt Ferrite Functionalized Sawdust Driven Activated Carbon

Citation:
Naz, H., Khalid, Z., Arif, S., Ahmed, M. N., & Waseem, M. F. (2025). High removal efficiency of arsenite from aqueous solution by cobalt ferrite functionalized sawdust driven activated carbon. Inorganic Chemistry Communications.

Summary:
This study presents a novel approach to arsenite removal from water using activated carbon derived from sawdust, functionalized with cobalt ferrite nanoparticles. The composite material demonstrated high adsorption capacity and efficiency, offering a sustainable solution for arsenic-contaminated water treatment.

2. Highly Ordered and Uniform Growth of Magnetite Nanoparticles on the Surface of Amberlyst-15: Lead Ions Removal Study

Citation:
Gillani, Z., Zain-Ul-Abdin, Khalid, Z., Waseem, M. F., & Haq, S. U. (2024). Highly ordered and uniform growth of magnetite nanoparticles on the surface of Amberlyst-15: Lead ions removal study. Journal of Inorganic and Organometallic Polymers and Materials. https://doi.org/10.1007/s10904-024-03453-1

Summary:
The research focuses on synthesizing magnetite nanoparticles uniformly grown on Amberlyst-15 resin for efficient lead ion removal from aqueous solutions. The composite material exhibited enhanced adsorption properties, making it a promising candidate for water purification applications.

3. Enhanced Role of Flower Shaped Curcumin Loaded ZnO/Ag₂O Nanocomposites for Biological Applications

Citation:
Mukhtar, A., Aruge, S., Tariq, A., Haq, S. U., & Waseem, M. F. (2025). Enhanced role of flower shaped curcumin loaded ZnO/Ag₂O nanocomposites for biological applications. BioNanoScience.

Summary:
This study explores the synthesis of flower-shaped ZnO/Ag₂O nanocomposites loaded with curcumin, aiming to enhance their biological activities. The nanocomposites demonstrated significant antimicrobial and anticancer properties, suggesting their potential in biomedical applications.

4. Role of Co and Ni Ferrites in the Fabrication of Saccharum officinarum Bioadsorbents for Removing As(III)

Citation:
Sattar, A., Hussain, S. I., Bibi, F., Iqbal, N., & Waseem, M. F. (2025). Role of Co and Ni ferrites in the fabrication of Saccharum officinarum bioadsorbents for removing As(III). Separation and Purification Technology.

Summary:
The research investigates the incorporation of cobalt and nickel ferrites into Saccharum officinarum (sugarcane) based bioadsorbents for arsenic (As(III)) removal. The modified bioadsorbents showed improved adsorption capacities, offering an eco-friendly solution for arsenic remediation.

5. Green Hydrothermal Synthesis of Nickel and Zinc-Doped Nickel Ferrite Nanoparticles Using Dalbergiella welwitschii Extracts and Their Biological Studies

Citation:
Modupe, O. U., Olatunde, S. O., Waseem, M. F., Alsaiari, A. A. A., & Razzokov, J. (2024). Green hydrothermal synthesis of nickel and zinc-doped nickel ferrite nanoparticles using Dalbergiella welwitschii extracts and their biological studies. Heliyon, 11(1), e40759. https://doi.org/10.1016/j.heliyon.2024.e40759

Summary:
This study reports the green synthesis of nickel and zinc-doped nickel ferrite nanoparticles using Dalbergiella welwitschii extracts. The nanoparticles exhibited significant anticancer and antidiabetic activities, highlighting their potential in biomedical applications.

6. Effective Remediation of Organic Pollutant Using Musa acuminata Peel Extract-Assisted Iron Oxide Nanoparticles

Citation:
Hedfi, A., Ben-Ali, M. J., Haq, S. U., Razzokov, J., Rehman, W., Waseem, M. F., Elmnasri, K., Hossain, M. K., Rehman, F. U., Karimbaev, E. K., & Shujaat, S. (2025). Effective remediation of organic pollutant using Musa acuminata peel extract-assisted iron oxide nanoparticles. Open Chemistry, 23(1), 132–145. https://doi.org/10.1515/chem-2025-0132

Summary:
The research presents a green synthesis of iron oxide nanoparticles using Musa acuminata (banana) peel extract. The nanoparticles demonstrated high efficiency in degrading organic dyes like methyl orange and rhodamine 6G, indicating their potential in wastewater treatment.

7. Utilizing T. wallichiana Leaf Extract for the Green Synthesis of Ferrite Nanoparticles: A Novel Approach to Lead Ion Removal

Citation:
Zafar, S., Amir, A., Sattar, A., Haque, I. U., & Waseem, M. F. (2025). Utilizing T. wallichiana leaf extract for the green synthesis of ferrite nanoparticles: A novel approach to lead ion removal. International Journal of Environmental Analytical Chemistry.

Summary:
This study explores the green synthesis of ferrite nanoparticles using Taxus wallichiana leaf extract. The synthesized nanoparticles exhibited effective lead ion adsorption from aqueous solutions, offering a sustainable method for heavy metal remediation.

8. Effect of Chemical and Thermal Activation on Texture, Morphology, and Composition of Onion Derived Carbon for Arsenic Adsorption

Citation:
Bibi, F., Hussain, R., Muhammad, H., Sattar, A., & Waseem, M. F. (2025). Effect of chemical and thermal activation on texture, morphology, and composition of onion derived carbon for arsenic adsorption. Journal of Inorganic and Organometallic Polymers and Materials.

Summary:
The research investigates the impact of chemical and thermal activation on onion-derived carbon’s properties for arsenic adsorption. The activated carbon showed enhanced surface area and porosity, leading to improved arsenic removal efficiency.

Conclusion

Muhammad Faisal Waseem demonstrates exceptional promise as a young researcher with impactful contributions to environmental sustainability, materials chemistry, and green technology. His work aligns closely with global goals like clean water access, responsible consumption, and climate action. His strong publication record, interdisciplinary skills, and commitment to sustainable science make him an outstanding nominee for the Young Scientist Award.

Buddhadeva Sahoo | Power Electronics | Best Researcher Award

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Dr. Buddhadeva Sahoo | Power Electronics | Best Researcher Award

Assistant Professor , SR University , India

Dr. Buddhadeva Sahoo  is an accomplished Assistant Professor at SR University, Telangana 📍. With a strong foundation in Power Electronics ⚡, his research spans microgrids, electric vehicles 🚗, and digital twin technologies 🌐. He has led government-funded projects at IIT Bhubaneswar and published impactful research with over 750 citations 📈. A passionate academician and innovator, Dr. Sahoo actively contributes to energy system advancements 🔋. He holds a Ph.D. in Power Electronics and Control 🎓 and is committed to solving real-world energy challenges through centralized power management and quality optimization 🔌.

Professional Profile

ORCID

Education & Experience

Dr. Sahoo earned his B.Tech (2014) and M.Tech (2016) in Electrical Engineering and Power Electronics 🎓 from Biju Patnaik University. He completed his Ph.D. in Power Electronics and Control from Siksha O Anusandhan University in 2021 📘. With over 7 years of academic and research experience 🧑‍🏫, he served at the Silicon Institute of Technology, conducted SERB-funded research at IIT Bhubaneswar, and currently teaches at SR University 📍. His career reflects continuous growth in education and innovation, with a focus on mentoring future engineers 🚀

Professional Development

Dr. Sahoo has continually advanced professionally through prestigious fellowships and research positions 🧪. He served as a SERB National Post-Doctoral Fellow at IIT Bhubaneswar 🔬, leading projects on hybrid microgrid control. He has also guided various academic and research programs 🧠 and built a portfolio of high-impact publications and collaborations. His professional journey showcases dedication to sustainable energy, smart grid technology 💡, and power quality management. He is active in conferences, paper reviewing, and professional networking for continuous learning and contribution 🌍📚.

Research Focus

Dr. Sahoo’s research centers on power electronics ⚡, control systems 🧭, and energy management strategies. His expertise includes electric vehicles 🚘, microgrids, digital twins 🌐, and power quality improvement. He aims to develop sustainable and intelligent energy solutions for decentralized and centralized systems 🏘️🏢. Through simulation and experimental techniques, he explores resonant inverter designs and energy optimization in electric infrastructure 🔋. Dr. Sahoo’s multidisciplinary work bridges renewable energy, real-time control, and smart mobility, contributing to the future of clean and efficient power systems 🌱⚙️.

Awards & Honors

Dr. Sahoo has earned several prestigious accolades 🏅 including the SERB National Post-Doctoral Fellowship (2022) and CSIR-SRF (2021) for his excellence in Electrical Engineering ⚡. He received the BPUT Research Award and IEI-Institution Awards (2020, 2025) for significant contributions to electrical research 📊. Honored with the Abel Wolman Award (2024) for pollution awareness 🌍 and the Madhusudhan Award (2021) for rural electrification ⚡🏞️, his work is widely recognized at national and state levels. These awards reflect his dedication to innovation, societal impact, and academic excellence 📘✨.\

Publication Top Notes

1. A Review on Digital Twin Integration in Hybrid Microgrids: Challenges, Opportunities, and Innovations
📅 2025-02-21 | 📘 Conference Paper
🔗 DOI: 10.1109/ICIDeA64800.2025.10963330
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray

2.Enhanced Power Quality with PV-Driven Active Power Filter in Two-Area Applications
📅 2025-02-21 | 📘 Conference Paper
🔗 DOI: 10.1109/ICIDeA64800.2025.10963112
👥 Contributor: Buddhadeva Sahoo

3.Harmonized Control Framework for Integrated Hybrid Microgrid and Virtual Power Plant Operation
📅 2024-11 | 📘 Journal Article, Electric Power Systems Research
🔗 DOI: 10.1016/j.epsr.2024.110936
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray

4.Adaptive Control Scheme for Hybrid Microgrid Resynchronization with Virtual Synchronous Generator and Active Detection Technique
📅 2024-09 | 📘 IEEE Transactions on Industry Applications
🔗 DOI: 10.1109/TIA.2024.3412048
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout

5.Dual Grid Energy Management Strategy for Electric Vehicles in Hybrid Microgrid Utilizing Matrix Pencil Method
📅 2024-06-20 | 📘 Journal Article, IJEEPS
🔗 DOI: 10.1515/ijeeps-2024-0139
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat K. Rout, Gayadhar Panda

6.A Novel Concept of Hybrid Storage Integrated Smart Grid System with Integrated SoC Management Scheme
📅 2024-05-21 | 📘 Book Chapter (Smart Grids as Cyber Physical Systems)
🔗 DOI: 10.1002/9781394261727.ch3
👥 Contributors: Pritam Bhowmik, Priya Ranjan Satpathy, Soubhik Bagchi, Buddhadeva Sahoo

7.RS‐11‐I Design and Control of Solar‐Battery‐Based Microgrid System
📅 2024-05-21 | 📘 Book Chapter (Smart Grids as Cyber Physical Systems)
🔗 DOI: 10.1002/9781394261727.ch2
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout, Pritam Bhowmik

8.Novel Instantaneous Power Control Scheme for Hybrid Microgrid Application
📅 2023-09-25 | 📘 Conference Paper, AUPEC
🔗 DOI: 10.1109/aupec59354.2023.10502991
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout

9.Adaptive Coordinated Control Technique for Intelligent Micro-grid
📅 2023-08-09 | 📘 Conference Paper, IEEE SEFET
🔗 DOI: 10.1109/sefet57834.2023.10245071
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout

10.Eleven-level Cascaded Inverter and Advanced Control Technique for Solar-Battery Operation
📅 2023-06-09 | 📘 Conference Paper, APSIT
🔗 DOI: 10.1109/apsit58554.2023.10201705
👥 Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout, Sangram Keshari Routray

Conclusion

Dr. Buddhadeva Sahoo is an excellent candidate for the Best Researcher Award. His impactful and innovative contributions, particularly in the domain of hybrid microgrid control, energy systems optimization, and smart grid technologies, demonstrate his dedication to solving critical energy challenges through cutting-edge research.

He not only advances academic knowledge but also aligns his work with global energy sustainability goals, making him deserving of recognition at the highest level.

TugbaOzge Onur | Signal processing | Best Researcher Award

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Assoc. Prof.TugbaOzge Onur | Signal processing | Best Researcher Award

Assoc. Prof . Zonguldak Bulent Ecevit University , Turkey

Dr. Tuğba Özge Onur is an accomplished academic in Electrical-Electronics Engineering at Zonguldak Bülent Ecevit University 🇹🇷. With a research focus on ultrasonic imaging, signal processing, and digital holography 🧠📡, she has significantly contributed to medical and acoustic imaging technologies. She earned her PhD in 2016 and has steadily climbed the academic ladder to the position of Associate Professor 🧑‍🏫. Dr. Onur is known for her innovative use of algorithms and AI in engineering solutions 🤖📊. Her dedication to scientific research is reflected in numerous national journal publications and collaborative studies across disciplines 🌐📚.

Professional Profile

GOOGLE SCHOLAR

Education & Experience

Dr. Onur earned her BSc (2005), MSc (2008), and PhD (2016) in Electrical-Electronics Engineering from Bülent Ecevit University 🎓⚙️. Her doctoral work focused on ultrasonic target detection using echo estimation methods in solid, liquid, and tissue environments 🧬🩻. She began her academic career as a research assistant in 2005 and transitioned to a full-time faculty member in 2018 👩‍🔬📘. She has served across various roles within the Devreler ve Sistemler Teorisi department, showcasing a consistent commitment to academic excellence and education 👩‍🏫💼.

Professional Development

Over the years, Dr. Onur has enhanced her academic profile through continuous research, advanced imaging techniques, and algorithm development 🧪📐. She applies deep learning, genetic algorithms, and holography in solving engineering problems 🧠🔬. Actively contributing to national journals and interdisciplinary projects, she emphasizes collaboration and innovation 🔄🤝. Her teaching and mentorship roles help shape future engineers while she advances her own research line 🚀📈. Proficient in English with a strong YDS score (76.25) 🇬🇧📊, she stays updated through conferences, workshops, and academic networks 📅🌐.

 Research Focus

Dr. Onur’s research lies at the intersection of signal processing, digital holography, and ultrasonic imaging 🔍🖼️. She specializes in using AI-driven methods like binary genetic algorithms and deep learning for image reconstruction and tissue-mimicking phantom analysis 🤖💡. Her work contributes to medical diagnostics, non-invasive testing, and advanced visualization techniques 🧬🧠. She actively investigates hyperparameter effects in classification models and promotes computational efficiency in bioengineering tasks 🧑‍🔬📊. This multidisciplinary research bridges electronics, medicine, and computer science 🌉🔬, and supports real-world innovations in diagnostic imaging 🏥📈.

Awards & Honors

Dr. Tuğba Özge Onur has been recognized for her contributions to Turkish engineering and academic research 🏅🇹🇷. Her appointment as Associate Professor in 2024 by the Interuniversity Council of Turkey is a testament to her scholarly impact 📜🎖️. She has collaborated internationally, including with experts like Johan Carlson and Erika Svanström, enhancing her academic visibility 🌍🤝. Her publications in national journals have been appreciated for their originality and application of emerging technologies 🧠🔬. She remains a respected figure in her department, mentoring students and contributing to academic excellence 🌟📚.

Publication Top Notes

1.Improved Image Denoising Using Wavelet Edge Detection Based on Otsu’s Thresholding

📌 Onur, T.Ö. (2022). Acta Polytechnica Hungarica.
🔗 PDF – acta.uni-obuda.hu
📈 Citations: 29
📝 Summary: This study presents an enhanced image denoising technique combining wavelet transform and Otsu’s thresholding for edge detection. The method effectively preserves edge features while reducing noise in digital images, improving visual quality and accuracy for further image processing applications.

2.Dynamic Viscosity Prediction of Nanofluids Using Artificial Neural Network (ANN) and Genetic Algorithm (GA)

📌 Topal, H.İ., Erdoğan, B., Koçar, O., Onur, T.Ö., et al. (2024). Journal of the Brazilian Society of Mechanical Sciences and Engineering.
🔗 PDF – Springer / ResearchGate
📈 Citations: 8
📝 Summary: This paper predicts the viscosity of nanofluids using hybrid artificial intelligence models. ANN and GA were used to model and optimize prediction performance. The results are useful for heat transfer applications in energy systems, where fluid behavior under various temperatures and compositions is critical.

3.Discarding Lifetime Investigation of a Rotation Resistant Rope Subjected to Bending Over Sheave Fatigue

📌 Onur, Y.A., İmrak, C.E., Onur, T.Ö. (2019). Measurement, Elsevier.
🔗 PDF – academia.edu
📈 Citations: 20
📝 Summary: This research investigates the fatigue lifetime of rotation-resistant ropes under repetitive bending conditions. Theoretical and experimental data reveal critical discarding criteria, improving safety in industrial and mechanical systems reliant on rope-based transport or lifting mechanisms.

4.The Effect of Hyper Parameters on the Classification of Lung Cancer Images Using Deep Learning Methods

📌 Narin, D., Onur, T.Ö. (2022). Erzincan University Journal of Science and Technology.
🔗 PDF – dergipark.org.tr
📈 Citations: 16
📝 Summary: This paper explores how different hyperparameter settings in deep learning architectures influence the classification performance of lung cancer images. The study guides optimal model configuration for improving diagnostic accuracy in medical imaging.

5.Genetic Algorithm-Based Image Reconstruction Applying the Digital Holography Process with the Discrete Orthonormal Stockwell Transform Technique for Diagnosis of COVID-19

📌 Kaya, G.U., Onur, T.Ö. (2022). Computers in Biology and Medicine, Elsevier.
🔗 PDF – nih.gov
📈 Citations: 8
📝 Summary: This work develops an advanced reconstruction method combining genetic algorithms and the Discrete Orthonormal Stockwell Transform for holographic imaging. It is applied to improve diagnostic imaging of COVID-19, offering real-time and accurate image enhancement.

6.An Application of Filtered Back Projection Method for Computed Tomography Images

📌 Onur, T.Ö. (2021). International Review of Applied Sciences and Engineering.
🔗 PDF – akjournals.com
📈 Citations: 10
📝 Summary: This article investigates the application of the Filtered Back Projection (FBP) method in computed tomography (CT). It compares FBP with other analytical and iterative methods to demonstrate its computational advantages in producing high-resolution diagnostic images.

Conclusion

Dr. Tuğba Özge Onur’s technical depth, innovation in methodology, and real-world relevance of research make her a strong candidate for Best Researcher Awards. Her pioneering work in digital medical imaging and algorithm-based diagnostics positions her at the forefront of engineering solutions for healthcare, contributing to both academia and industry. She blends scientific rigor with technological creativity, fulfilling the key qualities recognized by top research honors. 🥇📚🔬

 

 

 

Ramin Ahadi | Operations Research | Best Researcher Award

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Mr.Ramin Ahadi | Operations Research | Best Researcher Award

Doctoral Candidate at University of Cologne , Germany

A final-year Ph.D. candidate  at the University of Cologne and IE Business School, this researcher specializes in practical operations management and data science. Their work focuses on developing intelligent decision support systems using agent-based simulation , machine learning , and deep reinforcement learning. With expertise in smart mobility , energy systems , and sustainability, they bridge real-world problems with cutting-edge technology. Fluent in Python and other tools, they actively teach ML to graduate students and collaborate across academia and industry. Passionate about climate solutions 🌱, they aim to innovate for a greener and smarter world.

Professional Profile

Google Scholar Profile

Education & Experience 

Holding a Ph.D. (2025 exp.) in Information Systems & Operations Management from the University of Cologne  and currently a visiting scholar at IE Business School, Madrid , they also earned M.Sc. and B.Sc. degrees in Iran in Industrial and Mechanical Engineering respectively. With roles as researcher, lecturer , and tutor, their journey spans Europe and Asia. They’ve worked on EU-level energy and mobility research projects, simulations for EV fleets , and optimization algorithms. Teaching advanced analytics, leading grants, and collaborating with cities like Berlin and Paris , they blend deep technical skills with real-world impact.

Professional Development 

This candidate continuously enhances their skill set through hands-on research, collaborative grant writing , and academic publishing . They lead cutting-edge projects using Python, TensorFlow, PyTorch, and simulation tools like Simpy and Pyomo . Their development includes teaching graduate-level machine learning courses , engaging in high-impact conferences like ICIS and AAMAS , and working with institutions like EWI. Industry collaborations include EV charging systems and sustainable logistics . Their commitment to sustainability, innovation, and smart city solutions  positions them as a future leader in technology-driven operations management.

Research Focus 

Their research centers on smart mobility , energy systems , and climate-conscious technologies 🌱. They design agent-based simulations and deep learning models  to manage shared autonomous fleets and EV charging. Key areas include dynamic fleet pricing, ride-hailing, digital twins of mobility networks , and predictive analytics for load scheduling. They bridge theory and application by leveraging real-world data from European cities . Using advanced optimization (GA, MPC, RL) and simulation, their work contributes to more sustainable urban ecosystems. Their core mission is to build data-driven, adaptive platforms for smarter, greener cities.

Awards & Honors 

Recognized for academic excellence and innovation , they ranked in the top 5% during their M.Sc. and top 10% in their B.Sc. programs . They earned a competitive research scholarship from the Institute of Energy Economics at the University of Cologne and co-led multiple successful EU research grant proposals . Their work has been presented at top-tier conferences like ICIS, ECIS, and WITS . They’ve also made an impact through teaching awards and invitations to speak on sustainability in mobility and energy systems . Their excellence extends to both academia and industry collaborations.

Publication Top Notes

1.Ahadi, R., Ketter, W., Collins, J., & Daina, N. (2023).
“Cooperative Learning for Smart Charging of Shared Autonomous Vehicle Fleets.”
Transportation Science, 57(3), 613–630.
 Summary: This study presents a cooperative learning framework for optimizing electric vehicle (EV) charging across shared autonomous vehicle fleets. The model integrates real-time learning with coordination strategies to improve efficiency, grid stability, and user satisfaction.

2.Khalilzadeh, M., Neghabi, H., & Ahadi, R. (2023).
“An Application of Approximate Dynamic Programming in Multi-Period Multi-Product Advertising Budgeting.”
Journal of Industrial & Management Optimization, 19(1).
Summary: This paper develops an approximate dynamic programming approach to optimize advertising budgets over time for multiple products. It accounts for intertemporal trade-offs and uncertain returns, showcasing the method’s superiority to static approaches.

3.Yazdi, L., Ahadi, R., & Rezaee, B. (2019).
“Optimal Electric Vehicle Charging Station Placing with Integration of Renewable Energy.”
15th Iran International Industrial Engineering Conference (IIIEC), 47–51.
Summary: This conference paper investigates optimal site selection for EV charging stations using a multi-objective model that includes renewable energy generation and urban demand forecasting.

Conclusion

R. Ahadi exemplifies the qualities of a future-leading scholar with impactful, sustainable, and innovative contributions to operations management and intelligent systems. Their work directly contributes to the global challenge of building greener, smarter urban ecosystems—making them highly deserving of the Best Researcher Award.