Abdeldjalil Ouahabi | Bioengineering | Best Researcher Award

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Prof. Dr. Abdeldjalil Ouahabi | Bioengineering | Best Researcher Award

Prof. Dr. Abdeldjalil Ouahabi | Bioengineering – Full Professor at University of Tours, France

Professor Abdeldjalil Ouahabi is a distinguished academic and a leading figure in electrical and computer engineering, recognized globally for his pioneering work in image and signal processing. With decades of commitment to scientific innovation, he has become a driving force in the integration of artificial intelligence into medical imaging, communication systems, and sustainable education technologies. Through cross-disciplinary research and international collaborations, he continues to shape the future of intelligent systems and data-driven analysis. His prolific academic output, active editorial roles, and contributions to institutional development position him as an exemplary nominee for the Best Researcher Award.

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🔹Education:

Professor Ouahabi’s academic journey began with advanced training in automatic control and signal processing, culminating in a Ph.D. from one of Europe’s leading institutes. He later achieved a State Doctorate in Electrical and Computer Engineering through a joint program that exemplified his international academic approach. His formal education, deeply rooted in mathematical modeling and engineering, laid the groundwork for his lifelong specialization in signal interpretation, AI-driven algorithms, and multiscale analysis methods. His dual academic background across two continents empowered him with a broad and adaptable perspective on complex engineering challenges.

🔹Experience:

Over a career spanning more than three decades, Professor Ouahabi has served as a full professor at a renowned European university, where he also contributed to strategic international relations and academic leadership. Previously, he taught and conducted research at prominent institutions in North Africa and Europe, holding senior academic roles. Beyond teaching, he has led and participated in cutting-edge research projects across biomedical engineering, telecommunications, and intelligent systems. His roles as general and scientific chair at major international conferences reflect his commitment to knowledge dissemination and his leadership within the global research community.

🔹Research Interest:

His research interests lie at the intersection of signal processing, artificial intelligence, and biomedical imaging. He is particularly known for his work on multiresolution algorithms, wavelet transforms, fractal analysis, and sampling theories. His innovative applications of deep learning models to challenges in brain imaging, face recognition, and environmental monitoring have attracted wide attention. Recently, his focus has expanded to encompass sustainable digital technologies, hybrid learning environments, and AI-driven medical diagnostics. His interdisciplinary approach bridges theoretical rigor with real-world relevance, often producing transformative insights across engineering, health, and educational systems.

🔹Award:

Professor Ouahabi’s contributions have earned him several accolades, including the Outstanding Reviewer Award from Elsevier journals such as Knowledge-Based Systems (2018) and Measurement (2016). He also received the Best Paper Award from the IEEE Instrumentation and Measurement Society in 1999, recognizing his long-standing impact in precision engineering. His reputation has led to invitations as a distinguished visiting professor and international collaborator on flagship AI projects, including one with a Fields Medal laureate. These honors underscore his consistency in scholarly excellence, peer recognition, and societal relevance.

🔹Publications:

📘 “Neonatal EEG classification using attention-based CNN”, Biomedical Signal Processing and Control (2025) – Cited by 15 articles.
🧠 “Advanced genetic image encryption for intelligent transport systems”, Computers and Electrical Engineering (2025) – Cited by 22 articles.
🌍 “Post-COVID-19 education and sustainability”, Sustainability (2023) – Cited by 30 articles.
🔬 “Brain tumor segmentation using PSO and ANOVA”, Cancers (2022) – Cited by 40 articles.
📊 “Image denoising using compressive sensing with regularization”, Sensors (2022) – Cited by 25 articles.
📹 “Medical video coding based on 2nd-generation wavelets”, Electronics (2019) – Cited by 28 articles.
🔍 “A review on wavelet denoising in medical imaging”, IEEE WoSSPA (2013) – Cited by 45 articles.

🔹Conclusion:

In conclusion, Professor Abdeldjalil Ouahabi exemplifies the ideals of research excellence, innovation, and global engagement. His sustained contributions to signal processing and artificial intelligence have profoundly influenced both academic knowledge and practical technologies. Through leadership in education, high-impact publications, and influential collaborations, he continues to push the boundaries of what’s possible in engineering and biomedical research. His record of achievements, dedication to mentoring, and ongoing research into sustainable and intelligent systems make him a compelling candidate for the Best Researcher Award. His work not only advances the frontiers of science but also empowers the global community through applied knowledge and strategic vision.

 

 

 

 

Safiye Emirdag | Organic Chemistry | Best Researcher Award

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Assoc. Prof. Dr. Safiye Emirdag | Organic Chemistry | Best Researcher Award

Assoc. Prof. Dr. Safiye Emirdag | Organic Chemistry – Assistant Professor at Ege University, Turkey

Assoc. Prof. Dr. Safiye Emirdağ is a highly accomplished researcher in the field of Organic and Medicinal Chemistry, currently serving at Ege University. Her scientific journey is rooted in the synthesis and evaluation of bioactive natural product derivatives, with a focus on developing potential anticancer and antimicrobial agents. With a dynamic career spanning over two decades, she has combined deep theoretical knowledge with practical application to create impactful research that bridges chemistry and medicine. Her interdisciplinary approach, collaborative efforts, and intellectual contributions continue to push the boundaries of therapeutic molecule design.

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🎓 Education:

Dr. Emirdağ pursued her academic training entirely at Ege University, where she earned both her MSc and PhD in Chemistry, specializing in natural product synthesis. Following her doctoral work, she advanced her expertise through a prestigious postdoctoral fellowship in Green Chemistry at the University of Hohenheim, Germany. This international experience helped shape her environmentally conscious approach to chemical synthesis and expanded her scientific vision toward globally relevant applications.

💼 Experience:

Throughout her professional career, Dr. Emirdağ has held various academic and research roles within Ege University’s Department of Chemistry. From her early involvement in spectroscopic and phytochemical studies to her current leadership in semisynthetic derivative research, she has shown remarkable versatility and dedication. She served as principal investigator and co-investigator in multiple TÜBİTAK, BAP, and EBİLTEM-funded projects, collaborating with national and international institutions, including Kumamoto University in Japan. Her experience extends to reviewing for high-impact journals and evaluating projects for national funding agencies, underlining her scientific credibility and influence.

🔬 Research Interest:

Dr. Emirdağ’s primary research interests lie in Organic Chemistry, Bioorganic Chemistry, and Medicinal Chemistry, with a niche specialization in the semi-synthesis of natural products such as gypsogenin and egonol. Her work aims to design and optimize hybrid molecules for anticancer and antimicrobial applications. She is deeply involved in structure–activity relationship (SAR) studies, enzyme-catalyzed reactions, and the use of spectroscopy (IR, NMR) for compound characterization. Recently, her focus has expanded to include computational tools such as ADME prediction and molecular docking, strengthening the translational aspect of her research.

🏆 Awards and Recognitions:

Dr. Emirdağ’s pioneering research has earned her recognition through national and international project leadership, including bilateral cooperation with Japanese institutions. Her scientific merit has been validated with two granted national patents and one international patent application currently under substantive review. She has contributed to the development of gypsogenin-based hybrid compounds with therapeutic potential and was selected as an evaluator for TÜBİTAK funding schemes—an acknowledgment of her subject-matter authority. Her achievements illustrate both innovation and dedication, qualifying her as a top contender for the Best Researcher Award.

📚 Selected Publications:

  1. 🧪 “Synthesis and antibacterial activity of egonol derivatives” (2008, Bioorganic & Medicinal Chemistry) – Cited by 50+ articles.
  2. 🧬 “Synthesis, antimicrobial and cytotoxic activities of gypsogenin derivatives” (2014, European Journal of Medicinal Chemistry) – Cited by 60+ studies in cancer research.
  3. ⚗️ “Laccase-catalyzed reaction using air as an oxidant” (2013, Tetrahedron) – Pioneered green chemistry methods, cited in enzyme catalysis research.
  4. 🧫 “Design, synthesis and activity evaluation of gypsogenin-based anticancer agents” (2019, Molecules) – Provided novel insights into ABL kinase inhibition, cited by 40+ articles.
  5. 🧿 “EGFR-targeted triterpene analogues for glioma therapy” (2021, International Journal of Molecular Sciences) – Cited by researchers working on glioblastoma treatment.
  6. 🧴 “Anti-neoplastic activity of gypsogenin derivatives” (2014, Bioorganic Chemistry) – Supported preclinical drug discovery pipelines.
  7. 🧠 “Semisynthetic gypsogenin derivatives for leukemia” (2022, International Journal of Biological Macromolecules) – High citation rate due to promising bioactivity.

🔚 Conclusion:

Assoc. Prof. Dr. Safiye Emirdağ stands as a leading figure in the intersection of natural product chemistry and therapeutic innovation. Her research consistently reflects scientific rigor, originality, and translational potential. The blend of synthetic strategy, bioactivity profiling, and interdisciplinary collaboration defines her impactful academic legacy. Her ability to secure patents, publish widely, and foster international ties positions her not just as a researcher, but as a scientific leader. For these reasons, Dr. Emirdağ is exceptionally well-qualified for the Best Researcher Award, and her continued contributions promise further advancements in drug discovery and organic chemistry.

 

 

 

wu qubo | Uranium Exploration | Best Researcher Award

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Dr. wu qubo | Uranium Exploration | Best Researcher Award

Dr. wu qubo | Uranium Exploration – Deputy director at Beijing Research Institute of Uranium Geology, China

Dr. Wu Qubo is a distinguished geophysicist with extensive experience in uranium and thorium resource exploration. Currently serving as the Senior Geophysicist and Deputy Director in the Department of Geophysical and Geochemical Exploration at the Research Institute of Uranium Geology, CNNC, he has contributed to national and institutional priorities in critical mineral exploration. His expertise in seismic petrophysical modeling and geophysical interpretation has made him a trusted leader in the field. Known for blending academic depth with applied innovation, Dr. Wu represents a new generation of geoscientists driving sustainable energy solutions through geophysical science.

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🎓 Education:

Dr. Wu has a solid academic foundation that has continually evolved to match the demands of a fast-changing field. He is currently pursuing a PhD in Geophysics at the China University of Geosciences (Beijing), with expected completion in 2025. This doctoral research supports his technical leadership in uranium reservoir evaluation. He previously earned a Master’s degree in Geophysics from the Eastern China Geological Institute in 2009, where he built deep expertise in seismic methods. His academic path began with a Bachelor’s degree in Information Technology from Chengdu University of Technology in 2006, providing a strong analytical and computational base for his geophysical work.

💼 Experience:

Dr. Wu’s professional career spans over 15 years within the China National Nuclear Corporation (CNNC). He started as an Assistant Engineer in 2009 and quickly advanced to Geophysical Engineer from 2011 to 2016. Since July 2016, he has held the role of Senior Geophysicist, a position that combines field coordination, research leadership, and innovation management. As Deputy Director of the Geophysical and Geochemical Exploration Department, he leads projects focusing on advanced subsurface imaging and resource evaluation. His work integrates seismic interpretation with modern inversion techniques, greatly enhancing exploration accuracy and efficiency.

🔍 Research Interest:

Dr. Wu’s research centers on seismic petrophysics, prestack inversion, and the physical characterization of uranium-bearing sandstone reservoirs. He is particularly focused on improving the resolution and reliability of subsurface models using integrated inversion techniques. His interest extends to the development of geophysical tools that facilitate the identification of high-potential zones for uranium and thorium accumulation. Dr. Wu also explores how seismic attributes can be correlated with rock physics to better understand reservoir properties, thus directly contributing to cleaner energy sourcing and long-term exploration strategies.

🏅 Award:

Dr. Wu has gained notable recognition within his institution and among his peers for his advanced work in uranium geophysical exploration. While formal award records are not yet widely publicized, his nomination for the Best Researcher Award reflects growing appreciation for his contribution to both research and national resource strategy. His technical leadership in several large-scale exploration programs under CNNC, combined with his publication in a high-impact journal, supports his case as an emerging thought leader in applied geophysics.

📚 Publications:

  1. 📘 Using seismic petrophysical modeling and prestack simultaneous inversion to provide insights into the physical properties of uranium-bearing reservoirs (2024) – GEOPHYSICS Journal, cited for its novel application of inversion techniques in uranium exploration and already referenced by multiple research articles for its contribution to sandstone-hosted deposit analysis.
    DOI: 10.1190/geo2023-0434.1

✅ Conclusion:

In summary, Dr. Wu Qubo embodies the qualities of a high-impact researcher and scientific innovator. With a strong academic background, robust experience in national geophysical initiatives, and a growing publication profile, he continues to shape the future of uranium and thorium resource exploration. His pioneering use of seismic inversion and modeling tools directly supports strategic mineral development, aligning with national energy goals. As he nears completion of his PhD, Dr. Wu’s potential for broader academic and international engagement is growing rapidly. His proven ability to lead, publish, and innovate makes him an outstanding nominee for the Best Researcher Award.

 

 

 

 

Ayhan Filazi | Veterinary Toxicology | Best Researcher Award

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Dr. Ayhan Filazi | Veterinary Toxicology | Best Researcher Award

Dr. Ayhan Filazi | Veterinary Toxicology – Professor at Ankara University Faculty of Veterinary Medicine, Turkey

Prof. Dr. Ayhan Filazi is a prominent academic specializing in Veterinary Pharmacology and Toxicology. With a highly respected research profile in analytical toxicology, food safety, and pharmacokinetics, he has significantly contributed to the safety of animal-derived food products and public health. With a consistent record of high-impact publications, national collaborations, and innovative residue detection techniques, Prof. Filazi is recognized for his leadership in veterinary research and toxicological sciences.

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🎓 Education:

Prof. Filazi received his academic training in Veterinary Medicine, with advanced specialization in Pharmacology and Toxicology. His educational background combines deep biological knowledge with analytical science, forming the foundation for his career in food toxicology, environmental contamination studies, and veterinary pharmacology.

💼 Experience:

With years of experience in academic research and teaching, Prof. Filazi currently serves at the Department of Pharmacology and Toxicology in a top veterinary faculty. His career spans multiple research grants, doctoral advisorships, and published studies on contaminants in animal products. He has also worked closely with veterinary health institutions and toxicology laboratories, further enriching his practical and scientific expertise.

🔬 Research Interest:

Prof. Filazi’s research primarily focuses on veterinary drug residues, mycotoxins, food contaminants, endocrine disruptors, and heavy metals in food products. He employs cutting-edge tools like high-performance liquid chromatography (HPLC) and gas chromatography–mass spectrometry (GC-MS) for residue detection and risk analysis. His work supports safer food systems, consumer health, and regulatory advancements in veterinary sciences.

🏅 Award:

Prof. Filazi has been recognized by the academic and research community for his contributions to toxicology, with an h-index of 24, i10-index of 55, and over 2,000 citations to date. His research has influenced safety standards in food production and veterinary pharmaceuticals, making him a strong contender for the Best Researcher Award. Though specific formal awards are not listed here, his scholarly metrics and impact serve as strong indicators of distinction.

📚 Publications:

  1. 🥛 “Determination of melamine in milk and dairy products by high performance liquid chromatography” – Journal of Dairy Science, 2012 (Cited by 196)
  2. 🍞 “Occurrence of aflatoxins in food” – Aflatoxins—Recent Advances and Future Prospects, 2013 (Cited by 137)
  3. 🐟 “Metal concentrations in tissues of the Black Sea fish Mugil auratus from Sinop-Icliman, Turkey” – Human & Experimental Toxicology, 2003 (Cited by 128)
  4. 🐝 “Survey of the occurrence of aflatoxin M1 in cheeses produced by dairy ewe’s milk in Urfa city, Turkey” – Ankara Univ Vet Fak Derg, 2010 (Cited by 52)
  5. 🐔 “Depletion of florfenicol and florfenicol amine residues in chicken eggs” – British Poultry Science, 2014 (Cited by 28)
  6. 🍯 “Comparison of selected lipophilic compound residues in honey and propolis” – Journal of Food Composition and Analysis, 2021 (Cited by 26)
  7. 🍳 “Determination of selected endocrine disruptors in organic, free-range, and battery-produced hen eggs and risk assessment” – Environmental Science and Pollution Research, 2018 (Cited by 32)

✅ Conclusion:

Prof. Dr. Ayhan Filazi exemplifies excellence in veterinary toxicology, with a vast body of work that combines analytical precision, public health relevance, and academic leadership. His contributions to the detection of harmful substances in food products have enhanced food safety systems and informed policy decisions. With robust citation metrics and influential publications, he stands as a leading figure in his field. Prof. Filazi’s dedication, expertise, and research achievements make him a fitting nominee for the Best Researcher Award.

 

 

 

Babatunde Olatunbosun | Smart Materials | Best Researcher Award

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Mr. Babatunde Olatunbosun | Smart Materials | Best Researcher Award

Mr. Babatunde Olatunbosun | Smart Materials – PhD at University of Southern Queensland, Australia

TF Adepoju is an accomplished researcher and academician in the field of Composite and Material Engineering, with a deep-rooted focus on renewable energy and sustainable environmental technologies. Recognized for his scholarly contributions and impact-driven research, he has authored numerous publications that have garnered international citations, positioning him as a notable thought leader in green energy innovation and material optimization. His research endeavors have not only advanced academic understanding but have also offered practical solutions for energy production and waste utilization.

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Education:

TF Adepoju holds a strong academic foundation in engineering and material science, shaped by years of rigorous study, laboratory research, and analytical exploration. His educational trajectory has been marked by a focus on renewable energy technologies, thermochemical processes, and catalyst development, equipping him with the tools and insights to address complex scientific challenges. His academic journey reflects a consistent pursuit of excellence in understanding and enhancing bio-based materials and composite engineering frameworks.

Experience:

With extensive teaching and research experience, TF Adepoju has held key academic and collaborative roles, including joint research endeavors with scholars like Babatunde Olatunbosun and Francis Borokinni. As a Lecturer at Akwa Ibom State University, he has mentored numerous students while contributing to curriculum development in environmental engineering and renewable materials. His work spans experimental research, data modeling, field testing, and process optimization, resulting in numerous citations and a growing global academic footprint. Adepoju’s interdisciplinary expertise has enabled him to bridge gaps between theoretical knowledge and industrial application.

Research Interest:

Adepoju’s research revolves around the sustainable synthesis of biodiesel, optimization of oil extraction, and the development of heterogeneous catalysts derived from agricultural and animal waste. His specific areas of focus include biodiesel production from non-edible oils, environmentally friendly catalyst fabrication, biogas optimization, and material valorization through composite science. Driven by a vision of clean and renewable energy, his works demonstrate the feasibility of integrating green chemistry and waste management into scalable industrial processes. His passion for environmental sustainability has led him to explore innovations that reduce dependency on fossil fuels and enhance the energy value chain.

Award:

Adepoju’s research credentials make him a prime candidate for the Best Researcher Award. With over 697 citations, an h-index of 14, and 25 publications cited over 10 times, his scholarly impact is well-documented and widely respected. His collaborative and interdisciplinary approach has earned him recognition across peer-reviewed platforms, contributing significantly to the global dialogue on sustainable energy systems. His ability to translate complex research into practical, scalable solutions demonstrates award-worthy innovation and societal relevance.

Publication:

  1. 🧪 “Optimization processes of biodiesel production from pig and neem seeds blend oil using alternative catalysts from waste biomass” – Industrial Crops and Products, 2020 (Cited by 80)
  2. ♻️ “Brette Pearl Spar Mable (BPSM): a potential recoverable catalyst for biodiesel from Thevetia peruviana seed oil” – Energy, Sustainability and Society, 2018 (Cited by 50)
  3. 🌿 “Acid-catalyzed esterification of waste cooking oil for biodiesel production” – Chemical and Process Engineering Research, 2014 (Cited by 41)
  4. 🔬 “Methanolysis of CaO-based catalyst derived from egg shell-snail shell-wood ash for FAME synthesis” – Fuel, 2020 (Cited by 39)
  5. 🧱 “Three novel catalysts synthesized from animal bones for biodiesel production” – South African Journal of Chemical Engineering, 2021 (Cited by 38)
  6. 🌾 “Statistical optimization of oil extraction from beniseed” – Journal of Food Science and Engineering, 2012 (Cited by 43)
  7. 🌱 “Hevea brasiliensis (Rubber seed): An alternative renewable energy source” – Scientific African, 2020 (Cited by 29)

Conclusion:

TF Adepoju exemplifies the qualities of a distinguished researcher whose contributions extend beyond academic circles to create real-world impact in the fields of renewable energy, waste management, and material innovation. His blend of scientific rigor, creative problem-solving, and commitment to environmental stewardship places him in an elite category of professionals shaping the future of sustainable engineering. Given his consistent publication record, citation strength, and field relevance, TF Adepoju is unquestionably a suitable nominee for the Best Researcher Award. His work inspires future generations of scientists and reflects the transformative potential of research when aligned with global sustainability goals.

 

 

 

Weihong Gao | Thermoelectrical Materials | Best Researcher Award

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Assoc. Prof. Dr. Weihong Gao | Thermoelectrical Materials | Best Researcher Award

Assoc. Prof. Dr. Weihong Gao | Thermoelectrical Materials – Associate professor at Harbin Engineering University College, China

Professor Weihong Gao is an acclaimed expert in the field of materials science, with a strong research emphasis on thermoelectric materials, microstructure design, and shape memory alloys. She is a faculty member at the School of Materials Science and Chemical Engineering at Harbin Engineering University. Her academic footprint is recognized internationally through over 2,000 citations, influential publications, and impactful scientific collaborations. Her research is dedicated to developing next-generation energy materials, making her a key contributor to advancing sustainable technology and energy conversion systems. Her innovative mindset and scholarly achievements make her a standout candidate for the Best Researcher Award.

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🎓 Education:

Professor Gao’s academic journey is rooted in advanced materials science and engineering. Her formal education includes comprehensive training in physical metallurgy, thermoelectric material design, and functional alloys. Through a structured academic and research trajectory, she built a solid foundation in understanding the relationship between microstructure and material performance. Her education not only provided her with scientific rigor but also shaped her approach to multidisciplinary problem-solving, which remains a defining aspect of her research methodology today.

🧪 Experience:

With over a decade of intensive research experience, Professor Gao has led and participated in numerous scientific investigations on thermoelectricity, phase transformation, and alloy mechanics. At Harbin Engineering University, she has contributed to both theoretical advancement and practical development of smart materials. She has also played a significant role in supervising graduate researchers, developing academic programs, and fostering international collaborations. Her expertise extends to interfacial analysis and nanostructuring—two critical areas that have defined her scientific output. Her research projects often blend materials chemistry, solid-state physics, and engineering design.

🔬 Research Interest:

Professor Gao’s research interests lie at the intersection of energy science and material innovation. She focuses on enhancing the performance of thermoelectric materials for power generation and cooling applications, particularly at low temperatures. Her work investigates the optimization of electrical and thermal conductivity through advanced doping, nanostructuring, and crystal engineering. Additionally, she explores the properties and phase transitions of shape memory alloys like Ti-Ni-Hf, aiming to improve their mechanical strength and recovery behavior. Her interests reflect a commitment to both foundational discovery and application-driven innovation in smart materials.

🏆 Award:

Though specific accolades may remain undisclosed, Professor Gao’s academic metrics stand as a testament to her scholarly impact: with over 2,095 citations, an h-index of 23, and an i10-index of 41, her research resonates strongly across the global materials science community. Her work is regularly published in elite journals and frequently cited by peers, reflecting high relevance and credibility. These achievements form a solid basis for her nomination for the Best Researcher Award and affirm her consistent contribution to scientific excellence and research leadership.

📚 Publications:

  • “Demonstration of ultrahigh thermoelectric efficiency of ∼7.3% in Mg₃Sb₂/MgAgSb module for low-temperature energy harvesting” 🌡️ – Joule, 2021 – Cited by 346 articles
  • “Maximizing the performance of n-type Mg₃Bi₂ based materials for room-temperature power generation” ⚙️ – Nature Communications, 2022 – Cited by 237 articles
  • “High power factor and enhanced thermoelectric performance in Sc and Bi codoped GeTe” 🔋 – Advanced Energy Materials, 2020 – Cited by 114 articles
  • “Challenges for thermoelectric power generation: from a material perspective” 🔍 – Materials Lab, 2022 – Cited by 99 articles
  • “Mechanical properties of nanostructured thermoelectric materials α-MgAgSb” 🧪 – Scripta Materialia, 2017 – Cited by 95 articles
  • “Extraordinary thermoelectric performance in AgSbSe₂ with ultralow thermal conductivity” 💡 – ACS Applied Materials & Interfaces, 2018 – Cited by 65 articles
  • “Improved thermoelectric performance of GeTe via efficient yttrium doping” 🔧 – Applied Physics Letters, 2021 – Cited by 36 articles

🧾 Conclusion:

Professor Weihong Gao exemplifies the qualities of a leading researcher: scientific vision, innovation, and consistent impact. Her dedication to developing high-efficiency materials for energy applications is both timely and transformative. Her record of publication, mentorship, and interdisciplinary integration positions her as a compelling nominee for the Best Researcher Award. By continuing to explore the frontiers of material science and engineering, Professor Gao not only advances academic excellence but also contributes meaningfully to global technological progress. Her work bridges science and sustainability, marking her as a trailblazer in the next generation of research leaders.

 

 

 

Muhammad Kamran Shereen | Electrical Engineering | Best Researcher Award

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Dr. Muhammad Kamran Shereen | Electrical Engineering | Best Researcher Award

Dr. Muhammad Kamran Shereen | Electrical Engineering – Postdoctoral Fellow at Southern University of Science and Technology, China

Dr. Muhammad Kamran Shereen is an innovative postdoctoral fellow in electrical engineering with a deep focus on metasurface antenna design empowered by artificial intelligence. Currently based at a prestigious research institution in China, he specializes in integrating deep learning with microwave systems for next-generation 5G and 6G technologies. His career reflects a dynamic blend of academic excellence, technical innovation, and global research engagement, positioning him as a rising leader in intelligent communication systems.

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🎓Education:

Dr. Shereen earned his Ph.D. in Electrical Engineering from a leading university in Pakistan, where his research pioneered hybrid reconfigurability structures for patch antennas in 5G networks. He also holds an M.Sc. and B.Sc. in Electrical Engineering and an additional Master’s degree in Project Management. These qualifications have equipped him with a strong multidisciplinary background in both technical engineering and strategic project execution, providing a solid foundation for high-impact research.

🧑‍🏫Experience:

Dr. Shereen has accumulated over eight years of academic and research experience, including roles as Assistant Professor, Lecturer, and Laboratory Engineer. His expertise spans curriculum design, outcome-based education, antenna simulation, and student mentorship at undergraduate and graduate levels. As a postdoctoral fellow, he continues to lead innovation in smart antenna systems, support grant writing, and collaborate with global scholars. He is also an approved PhD supervisor, demonstrating academic maturity and leadership.

🔬Research Interest:

His research interests lie at the intersection of microwave engineering, deep learning, and intelligent antenna systems. He is passionate about designing adaptive antennas using AI algorithms like neural networks and support vector machines to optimize gain, bandwidth, and reconfigurability. His ongoing projects explore the role of machine learning in advancing antenna performance for wireless networks, particularly for applications in mmWave, 5G, and the emerging 6G technologies.

🏅Award:

Dr. Shereen was honored with the Best Outreach Program Chapter Recognition Award (2024) for his initiative in founding a professional energy engineering chapter at his university. He has also been selected as a distinguished delegate and speaker at premier global forums, including the Future Leaders Congress 2024, World Youth Leadership Conference 2025, and Young Economic Forum 2025. These accolades highlight his commitment to research diplomacy, sustainability, and leadership development on an international scale.

📚 Publications:

📡 2022 – A Review of Achieving Frequency Reconfiguration through Switching in Microstrip Patch Antennas for Future 5G Applications, Alexandria Engineering Journal, cited by 71.
📘 2019 – A Brief Review of Frequency, Radiation Pattern, Polarization, and Compound Reconfigurable Antennas for 5G Applications, Journal of Computational Electronics, cited by 60.
🛰️ 2020 – A Frequency and Radiation Pattern Combo-Reconfigurable Novel Antenna for 5G Applications and Beyond, Electronics, cited by 33.
📶 2018 – Millimeter Wave Frequency Reconfigurable Antenna for 5G WLAN, IEEE INMIC Conference, cited by 19.
🔄 2022 – A Hybrid Reconfigurability Structure for a Novel 5G Monopole Antenna for Future Mobile Communications at 28/38 GHz, Arabian Journal for Science and Engineering, cited by 15.
🤖 2024 – Intelligent Frequency, Radiation Pattern and Polarization Reconfigurable Antenna for 5G Applications, Journal of Electrical Engineering & Technology, cited by 8.
🧠 2025 – Innovations in Metamaterial and Metasurface Antenna Design: The Role of Deep Learning, Materials Today Electronics, newly published, citation data pending.

✅Conclusion:

Dr. Muhammad Kamran Shereen exemplifies the spirit of the Best Researcher Award through his impactful contributions in antenna engineering and intelligent system integration. His ability to fuse deep technical skills with forward-thinking research makes him a vital contributor to future communication technologies. Through global engagements, high-quality publications, and research mentorship, he continues to influence both academic communities and the broader engineering ecosystem. Recognizing Dr. Shereen with this award would celebrate not only his past achievements but also the promise of a future filled with innovation, leadership, and global collaboration.

 

 

 

Şilem Özdem Alataş | Biological Sciences | Best Researcher Award

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Dr. Şilem Özdem Alataş | Biological Sciences | Best Researcher Award

Dr. Şilem Özdem Alataş | Biological Sciences – Dokuz Eylül University, Turkey

Dr. Şilem Özdem Alataş is a rising academician and researcher in the field of pediatric infectious diseases, currently affiliated with Dokuz Eylül University Faculty of Medicine. With a focused dedication to neonatal sepsis, febrile neutropenia, and COVID-19-related complications in children, she has built a strong portfolio of research contributions that have gained both national and international attention. Her work reflects a passion for improving clinical outcomes in vulnerable pediatric populations through evidence-based practice and collaborative research.

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🔹 Education:

Dr. Alataş completed her medical training and specialization in pediatric infectious diseases in Turkey, developing a strong foundation in both clinical care and research methodology. Her academic pathway at Dokuz Eylül University provided the technical and theoretical tools to address pressing challenges in pediatric infection management, diagnostics, and patient monitoring.

🔹 Experience:

With years of clinical and research experience in pediatric infections, Dr. Alataş has worked across multidisciplinary teams to address complex issues such as hematologic malignancy-related infections, neonatal diagnostic markers, and pediatric COVID-19 protocols. She is a contributing member of several institutional and multi-center studies and has co-authored peer-reviewed publications that are shaping pediatric healthcare policies and practices.

🔹 Research Interest:

Dr. Alataş’s research interests are centered around pediatric infectious diseases, particularly in high-risk groups such as neonates and immunocompromised children. She is focused on developing better diagnostic tools and treatment algorithms for febrile neutropenia, neonatal sepsis, systemic viral infections, and rare pediatric infectious diseases. Her investigations into the neutrophil-lymphocyte ratio, salivary biomarkers, and disease trends during pandemics highlight her dedication to data-driven clinical improvements.

🔹 Award:

Though she has not yet received a formal individual research award, Dr. Alataş’s scholarly contributions make her a strong candidate for the Best Researcher Award. Her articles have been cited across pediatric and infectious disease journals, and her research continues to inform clinical protocols and academic discussions in her field. Her recognition is growing steadily, and this nomination acknowledges her influence and potential for future innovation.

🔹 Publications:

  1. 📄 “Diagnostic value of neutrophil to lymphocyte ratio and mean platelet volume on early onset neonatal sepsis on term neonate” – Journal of Pediatric Intensive Care, 2021 – Cited by 34
  2. 🦠 “Etiology and factors affecting severe complications and mortality of febrile neutropenia in children with acute leukemia” – Turkish Journal of Hematology, 2023 – Cited by 11
  3. 🧪 “Evaluation of possible effects of the COVID-19 Pandemic on febrile neutropenia episodes in children with acute leukemia” – Journal of Pediatric Hematology/Oncology, 2022 – Cited by 3
  4. 🧬 “The clinical follow-up and management of COVID-19 in children and adolescents with an immunocompromised state or a malignancy” – Turkish Journal of Medical Sciences, 2022 – Cited by 3
  5. 👃 “Complications of acute bacterial rhinosinusitis in children: a single tertiary care center” – Journal of Pediatric Infection, 2022 – Cited by 3
  6. 🦷 “Association among COVID-19, multisystem inflammatory syndrome in children, and oral health status” – Brazilian Oral Research, 2023 – Cited by 1
  7. 🧫 “Newborn with branchial cleft cyst infection due to nocardia otitidiscaviarum” – The Pediatric Infectious Disease Journal, 2024 – Cited by 1

🔹 Conclusion:

Dr. Şilem Özdem Alataş stands out as a promising early-career researcher whose contributions to pediatric infectious disease research are both timely and impactful. Her work spans critical areas such as infection diagnostics, clinical management of immunocompromised children, and response to emerging health crises like COVID-19. With a solid publication record, growing citation count, and collaborative research network, she is well-positioned for continued academic and clinical impact. Her nomination for the Best Researcher Award reflects a recognition of both her past achievements and her future potential in global pediatric health research.

 

 

 

Ji Hun Kim | Optics | Best Researcher Award

Posted on by Awards and Recognitions

Ms. Ji Hun Kim | Optics | Best Researcher Award

Ms. Ji Hun Kim | Optics – Ph.D at Seoul National University of Science and Technology, South Korea

Dr. Jihoon Kim is a forward-thinking researcher specializing in optics and laser-based materials processing. Currently affiliated with Seoul National University of Science and Technology, he focuses on advancing laser manufacturing technologies through precision engineering and interdisciplinary collaboration. His work explores innovations in laser sintering, surface treatment, and optical enhancement techniques. With an emphasis on sustainable and scalable technologies, Dr. Kim is recognized for bridging theoretical optics with real-world engineering challenges.

Profile Verified:

Google Scholar

🎓 Education:

Dr. Kim’s academic foundation is rooted in mechanical and materials engineering, where he cultivated his expertise in optics and laser applications. Through rigorous academic programs and research-intensive environments, he developed a solid understanding of laser–material interaction, photonics, and advanced manufacturing systems. His educational journey equipped him with the skills necessary for experimental design, optical diagnostics, and high-precision material processing.

💼 Experience:

Dr. Kim has contributed significantly to academia and industry through collaborative research and hands-on innovation. At Seoul National University of Science and Technology, he has participated in advanced research projects related to laser-induced plasma spectroscopy (LIPS), hydrophobic coatings, and optical system modeling. His experience includes technical mentorship, scholarly publication, and conference participation. He has consistently worked across disciplines to enhance the performance, reliability, and sustainability of materials through optical engineering and laser technologies.

🔬 Research Interest:

Dr. Kim’s research interests lie at the intersection of optics, laser physics, and materials science. His primary focus areas include laser-induced plasma spectroscopy, precision surface modification, optical aberration analysis in beam delivery systems, and enhanced bonding in composite materials. He is particularly interested in how heat transfer and atmospheric effects influence optical systems. His studies support the development of smarter, greener manufacturing processes that integrate advanced materials with laser-based processing solutions.

🏆 Award:

Although Dr. Kim has not yet received major international or national research awards, his consistent scholarly output and contribution to emerging technologies in optics mark him as a strong contender for recognition. His work has been cited in growing numbers, indicating peer acknowledgment and growing impact. His ongoing efforts in advancing laser processing methodologies place him in a promising position for future accolades in the academic and industrial communities.

📚 Publication:

  1. 🔬 Analysis of Laser Sintering of Zirconia to Magnesium Alloy by Laser-Induced Plasma Spectroscopy – 2018, Nanoscience and Nanotechnology Letters – cited by 5 articles.
  2. 💧 Hydrophobic Surface Treatment with Anisotropic Characteristics Using Laser Selective Deposition – 2020, Journal of the Korean Society of Manufacturing Process Engineers – cited by 3 articles.
  3. 🔍 Effects of Temperature on Optical Aberrations in Beam Delivery Components – 2024, International Journal of Precision Engineering and Manufacturing – cited by 2 articles.
  4. ⚙️ Study on Filter Efficiency and Lifetime Enhancement by Using Internal Structures – 2018, Journal of the Korean Society of Manufacturing Process Engineers – cited by 2 articles.
  5. 🧪 Influence of Bonding Strength on Surface Pattern in Bonding of Carbon Fiber Reinforced Plastic and Metal – 2017, Journal of the Korean Society of Manufacturing Technology Engineers – cited by 2 articles.
  6. 🔥 Characterization of Heat Affected Zone Generation in Laser Processing of Carbon Fiber Reinforced Plastics – 2024, International Journal of Precision Engineering and Manufacturing – cited by 1 article.
  7. 🧿 A Study on the Generation of Negative Tapered Holes in Laser Process of the Metal Material – 2023, International Journal of Precision Engineering and Manufacturing – cited by 1 article.

✅ Conclusion:

In summary, Dr. Jihoon Kim is an innovative researcher contributing meaningfully to the advancement of optics and laser-based materials science. His scholarly work demonstrates not only technical competence but also foresight in aligning with global needs for high-precision and sustainable engineering solutions. Though early in his citation trajectory, his focused research and interdisciplinary collaborations underscore his potential for greater impact. As a candidate for the “Best Researcher Award,” Dr. Kim exemplifies excellence in academic rigor, industrial relevance, and innovation, making his nomination highly meritorious.

 

 

 

Chengqi Xue | Computer Vision | Best Researcher Award

Posted on by Awards and Recognitions

Mr. Chengqi Xue | Computer Vision | Best Researcher Award

Mr. Chengqi Xue | Computer Vision – Student at Yangtze University, China

With a deep-rooted passion for automation, intelligent systems, and data-driven innovation, this researcher has rapidly emerged as a notable contributor to the field of machine vision and artificial intelligence. Currently pursuing a Bachelor of Engineering in Automation, the individual has already led and participated in significant research initiatives at the undergraduate level, reflecting both academic rigor and a forward-thinking approach to applied science. Focusing primarily on defect detection, industrial monitoring, and the application of machine learning to engineering materials, this individual has developed a robust foundation for impactful scientific contributions. The combination of technical proficiency, research productivity, and innovation-oriented mindset makes this nominee a strong contender for the Best Researcher Award.

Profile Verified:

Scopus

🎓 Education:

The nominee is a final-year undergraduate student in the BEng Automation program at Yangtze University, China (2020–2024), with a cumulative GPA of 3.71/5.0 and a rank in the top 7% of the cohort. The academic training includes core and advanced courses such as C Language Programming, Analog and Digital Electronic Technology, Principle of Automatic Control, Computer Control Technology, Machine Vision, and Motion Control Systems. These courses have laid a solid theoretical and technical foundation, particularly in control systems, embedded programming, and computer vision, fueling the research directions taken by the candidate. The academic performance, combined with a rigorous curriculum, has prepared the nominee to handle complex research challenges and real-world applications of automation.

🧪 Experience:

The nominee’s research journey began in 2021 and includes three significant assistant roles in funded and institutionally recognized projects. In the Internal Thread Defect Detection project, the nominee engineered a computer-controlled multi-vision system using fish-eye lenses and deep learning, culminating in an intelligent defect detection system based on YOLO and GANs. Another impactful contribution includes the application of machine learning techniques in optimizing the structural performance of engineering materials such as GFRP-filled concrete and laminated glass. The candidate further developed a machine vision-based early warning system for industrial applications, integrating image acquisition, distortion correction, and predictive analytics. These roles not only enhanced the candidate’s technical and analytical capabilities but also demonstrated leadership and problem-solving skills vital for translational research in intelligent systems.

🔬 Research Interest:

The nominee’s research interests are centered on machine vision, deep learning-based detection systems, generative adversarial networks (GANs), and the intersection of automation with intelligent sensing technology. Additional focus areas include data modeling, meta-learning, genetic algorithms for data enhancement, and optimization of engineering materials using AI. This multidisciplinary focus aims to bridge the gap between traditional mechanical processes and cutting-edge digital transformation, with applications in quality control, structural safety, and predictive maintenance. The research also explores low-sample learning techniques to address data limitations in real-world industrial scenarios, reflecting an understanding of practical engineering constraints.

🏅 Award:

In recognition of exceptional contributions to automation and sensing technology, the nominee received the Best Researcher Award at the International Research Awards on Sensing Technology in September 2024. This accolade followed a rigorous evaluation of the nominee’s impactful work on machine vision-based defect detection and intelligent monitoring systems. Furthermore, the National Encouragement Scholarship was awarded in acknowledgment of academic excellence, placing the nominee in the top 4% of students at Yangtze University. These distinctions affirm the candidate’s promise as a future leader in research and development.

📚 Publication:

  1. 🧱 Data Modeling of GFRP Tubular Filled Concrete Column using Meta Learning – PLoS ONE, 2024 📖 [Cited by: 16]
  2. 🔍 Internal Thread Defect Detection via Multi-vision Systems – PLoS ONE, 2024 📖 [Cited by: 12]
  3. 🧠 Design Optimization of GFRP Tubular Structures via Machine Learning – PLoS ONE, 2023 📖 [Cited by: 14]
  4. 🤖 Defect Detection using GANs and YOLO in Industrial Threads – Sensors, 2024 📖 [Cited by: 10]
  5. 📷 Image Calibration in Internal Thread Vision Systems – SPIE Proceedings, AASIP 2024 📖 [Cited by: 3]
  6. 🔗 Review on Image Stitching Algorithms for Internal Thread Inspection – SPIE Proceedings, RSTIP 2024 📖 [Cited by: 4]
  7. 🪟 Modeling of Toughened Sandwich Glass with Machine Learning – PLoS ONE, Under Review (2025)

🔚 Conclusion:

In summary, the nominee exemplifies the ideal profile for the Best Researcher Award—early but exceptional academic achievement, meaningful technical contributions, interdisciplinary research focus, and a consistent trajectory of innovation. The blend of published scholarship, applied patents, and awards reflects a promising future in advanced automation and machine vision. While still at the undergraduate level, the nominee has outpaced many peers through commitment, curiosity, and competence. Continued academic progression, such as graduate studies and international collaboration, will no doubt strengthen this solid foundation and further contribute to the research community. The nomination is therefore fully justified and well-aligned with the spirit of the award.