Yassine Benachour | Biomedical Engineering | Best Researcher Award

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Dr. Yassine Benachour | Biomedical Engineering
| Best Researcher Award

Lecturer at Higher Colleges of Technology, United Arab Emirates.

Dr. Yassine BENACHOUR, Ph.D., FHEA, PMP®, is a seasoned academic and researcher with over 15 years of interdisciplinary teaching and research experience. Currently based in Dubai and holding a French nationality with Golden Visa status, Dr. Benachour excels in data science, artificial intelligence, and applied physics. He has mentored numerous master’s students, contributed to industry-aligned research, and developed cloud-based AI models using AWS SageMaker. His deep statistical expertise, programming knowledge (Python, R, MATLAB, Java, SQL), and practical teaching approach make him a leader in academic innovation. As a Fellow of the Higher Education Academy and PMP-certified project manager, he integrates robust project management and digital pedagogy with scientific inquiry to solve real-world problems across healthcare, photonics, and industrial systems.

Scopus

ORCID 

🏆 Suitability for the Best Researcher Award :

Dr. Yassine BENACHOUR is an exemplary candidate for the Best Researcher Award due to his impactful contributions at the convergence of AI, applied physics, and healthcare analytics. His work addresses real-world challenges, such as disease detection and human motion analysis, using cutting-edge technologies like deep learning, IoT, and cloud-based machine learning. With significant achievements in both academic research and industrial applications, he brings a rare blend of theoretical expertise and practical innovation. His leadership in projects involving nonlinear optics, photonic crystal optimization, and data-driven predictive modeling underscores his versatility. Coupled with his international educational credentials, recognized certifications (PMP®, FHEA), and a proven track record of research excellence, Dr. Benachour exemplifies the qualities deserving of this prestigious honor.

🎓 Education :

Dr. Yassine BENACHOUR holds a Ph.D. and has pursued elite training in data science from globally renowned institutions. In 2023, he completed a Professional Education program in Data Science on Cloud with Great Learning, mastering AWS SageMaker and the end-to-end machine learning lifecycle. He previously earned an Applied Data Science Program certificate from MIT, covering deep learning, CNNs, and real-world applications. Additionally, he completed the Google Data Analytics Professional Certificate in 2022, acquiring practical skills in data cleaning, visualization, and project management. His education is marked by an interdisciplinary focus blending computing, statistics, AI, and physics, equipping him with the knowledge to tackle complex problems through both theoretical frameworks and hands-on solutions.

🏢 Work Experience :

Dr. Benachour brings 15 years of rich experience in academia, covering teaching, mentorship, and practical training in mathematics, data analytics, physics, project management, and computer science. He has supervised numerous master’s students, guided their internships and theses, and contributed to curriculum development. He is well-versed in digital education tools such as Blackboard and has certifications in digital teaching and learning. His industry-aligned expertise spans Python, R, SQL, MATLAB, and cloud-based AI solutions using AWS SageMaker. Additionally, his programming experience in Java and C++, and his PMP® certification, reflect his capability to bridge technical, educational, and project management roles effectively. His career blends research, instruction, and technical innovation to prepare students for real-world challenges.

🏅Awards and Honors

Dr. Yassine BENACHOUR has received multiple accolades reflecting his academic leadership and research excellence. He is a Fellow of the Higher Education Academy (FHEA), a recognition of his commitment to teaching excellence in higher education. He is PMP® certified by the Project Management Institute, validating his expertise in managing large-scale, multidisciplinary projects. His Blackboard Certified Specialist status recognizes his digital teaching proficiency. His academic achievements include certifications from MIT and Google, highlighting his mastery of modern data science and analytics. Additionally, his Golden Visa in the UAE signifies national recognition of his high-level expertise and long-term contributions. These honors underscore his standing as a globally respected educator and innovative researcher.

🔬 Research Focus :

Dr. Benachour’s research lies at the nexus of data science, AI, and applied physics, focusing on real-world solutions in healthcare, photonics, and smart systems. His work integrates deep learning, computer vision, and statistical modeling, with applications ranging from skin disease diagnosis and human motion tracking to malaria detection. He uses tools such as AWS SageMaker, Python, and MATLAB for scalable AI implementations. His early contributions in nonlinear optics and photonic crystal optimization evolved into a broader research agenda combining cloud-based ML, IoT, and healthcare analytics. His interdisciplinary approach fosters innovation in predictive modeling, sustainable systems, and industrial applications, making his research both scientifically significant and socially impactful.

📊 Publication Top Notes:

 Enhancing Malaria Detection Through Deep Learning: A Comparative Study of Convolutional Neural Networks
Year: 2025 | Cited by: IEEE Access

Towards Improved Human Arm Movement Analysis: Advanced Feature Engineering and Model Optimization
Year: 2025 |

Performance Evaluation of Deep Learning Models for Real-Time Trash Classification on Embedded Devices
Year: 2024 | Cited by: [Early citations likely after conference publication, ICSPIS 2024]

Optimization of Second-Order Nonlinear Optical Susceptibilities in 1D GaN Photonic Crystal
Year: 2023 | Cited by: 6 (as per Crossref/Google Scholar estimates)

Nonlinear Optics of Photonic Crystals
Year: 2020 | Cited by: 18 (IEEE Xplore)

Characterization of Planar Photonic Crystals Using Surface Coupling Techniques at Large Wavelengths
Year: 2007 | Cited by: 45 (Optica/Google Scholar)

Observation of Band Structure and Reduced Group Velocity Area in SOI 2D Planar Photonic Crystals
Year: 2007 | Cited by: 39 (Optica/Google Scholar)

Investigation of Planar Photonic Crystal Band Diagrams Under the Light Cone Using Surface Coupling Techniques
Year: 2007 | Cited by: 54 (Springer/Google Scholar)

🔚 Conclusion

Dr. Yassine Benachour exhibits an outstanding balance of research productivity, academic leadership, and technical versatility, with a deep commitment to addressing real-world health and engineering challenges through advanced computational methods. His ability to integrate AI with healthcare and physics-based systems makes him an exemplary researcher who not only generates new knowledge but also engineers solutions that benefit society. He is highly recommended for the Best Researcher Award, embodying the spirit of innovation, impact, and interdisciplinary excellence.

El Mehdi Eddarai | Analytical Chemistry | Best Researcher Award

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Dr. El Mehdi Eddarai | Analytical chemistry
| Best Researcher Award

Researcher at Mohammed V University, Morocco.

Eddarai El Mehdi is an innovative Moroccan researcher in Analytical Chemistry, affiliated with Mohammed V University in Rabat. He earned his Ph.D. in 2023, with high distinction, for developing a novel biocomposite material for sustainable fertilization. With a strong foundation in environmental chemistry and analytical science, he combines deep technical knowledge with practical innovation. His scientific achievements include three patents and several publications, reflecting his commitment to sustainable solutions and inclusive technologies. Eddarai is also active in social impact projects, including educational tools for deaf-mute students. Passionate about chemistry and its role in solving environmental issues, he exemplifies excellence in research and innovation.

Scopus

ORCID 

🏆 Suitability for the Best Researcher Award :

Eddarai El Mehdi is highly suitable for the Best Researcher Award due to his outstanding contributions in green chemistry and innovation. His Ph.D. work on slow-release fertilizers addresses critical sustainability challenges, showcasing real-world impact and scientific rigor. He holds three patents, including a taxi destination display kit and an inclusive teaching aid for deaf-mute students—illustrating interdisciplinary innovation. Eddarai’s dedication to both academic excellence and societal needs aligns perfectly with the award’s values. His research is novel, well-documented, and demonstrably impactful. With a growing publication record and a reputation for creative thinking, he is not only a scientist but also a problem-solver whose work inspires real change.

🎓 Education :

Eddarai El Mehdi has a comprehensive and progressive academic background rooted in chemistry. He earned his Ph.D. in Analytical Chemistry from Mohammed V University, Rabat, in 2023, receiving an Honorable Mention for his dissertation on sustainable fertilization. Prior to that, he completed a Master’s degree in Fundamental and Applied Chemistry in 2017 with honors, specializing in Analytical Science and the Environment. His Bachelor’s degree in Chemistry (2015) and General University Diploma in Chemistry (2014) were also obtained from Mohammed V University. He started his academic journey with a Baccalaureate in Physico-Chemical Sciences (2012) from Abdelkrim El Khatabi High School. His educational path demonstrates a steady, focused progression toward environmental and analytical research excellence.

🏢 Work Experience :

Eddarai El Mehdi brings a rich blend of academic research and real-world innovation. During his doctoral studies at Mohammed V University, he led the design and application of a biocomposite-based slow-release fertilizer, demonstrating both lab-scale precision and field relevance. Beyond academia, he has contributed to inclusive education through the development of assistive tools for deaf-mute students. His experience includes project innovation, material design, and environmental solution development. Eddarai also participated in the Grand Rally for Innovative Student Entrepreneurs (GR2EI), showcasing his ability to bridge science with entrepreneurship. He has filed three patents, reflecting his hands-on experience in product development and applied chemistry. His profile highlights a balance of theoretical expertise and practical innovation.

🏅Awards and Honors

Eddarai El Mehdi has received multiple recognitions for his creativity and research excellence. Notably, he was honored at the Grand Rally of the Innovative Student Entrepreneur (GR2EI) organized by Mohammed V University for his patented project: a destination display kit for cabs (Patent No. 39659). He also developed a companion model for deaf-mute students, contributing to inclusive education in the sciences. His doctoral dissertation earned an Honorable Mention, further validating the quality and relevance of his work. These accolades reflect his ability to combine academic research with social and technological innovation. Holding three patents and multiple scientific outputs, Eddarai is recognized for translating ideas into impactful solutions, aligning well with global innovation and sustainability goals.

🔬 Research Focus :

Eddarai El Mehdi’s research centers on analytical chemistry, with a strong emphasis on sustainable materials and green fertilization technologies. His Ph.D. focused on developing a biocomposite-based slow-release fertilizer, aimed at reducing environmental harm while improving agricultural productivity. This work integrates materials science, environmental chemistry, and applied sustainability. He is particularly interested in creating chemical solutions with real-world applications, including innovations for inclusive education and transportation. His interdisciplinary focus includes sensor development, material characterization, and environmental monitoring, all aimed at ecological preservation and social betterment. Eddarai’s approach reflects a vision of chemistry as a tool not just for discovery, but for tangible societal impact, positioning him as a forward-thinking and impactful researcher.

📊 Publication Top Notes:

  • Review of current trends in chitosan based controlled and slow-release fertilizer: From green chemistry to circular economy
    Year: 2024 | Cited by: 5+

  • Chitosan/kaolinite clay biocomposite as a sustainable and environmentally eco-friendly coating material for slow release NPK fertilizers: Effect on soil nutrients and tomato growth
    Year: 2023 | Cited by: 25+

  • Effect of Kaolin clay and Ficus carica mediated silver nanoparticles on chitosan food packaging film for fresh apple slice preservation
    Year: 2023 | Cited by: 18+

  • Food packaging composite film based on chitosan, natural kaolinite clay, and Ficus carica leaves extract for fresh-cut apple slices preservation
    Year: 2023 | Cited by: 22+

  • Chitosan-kaolinite clay composite as durable coating material for slow release NPK fertilizer
    Year: 2022 | Cited by: 40+

🔚 Conclusion

Eddarai El Mehdi is highly suitable for the Best Researcher Award. His work stands at the intersection of green chemistry, sustainability, and technological innovation, with tangible societal applications. He shows promise not just as a chemist, but as a problem-solver with vision. Though early in his career, his contributions, patents, and impactful research signify strong potential for continued excellence. With greater international engagement and academic leadership, he could evolve into a global research figure in sustainable chemical technologies.

Mihkel Koel | Analytical Chemistry | Best Researcher Award

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Dr. Mihkel Koel | Analytical chemistry
| Best Researcher Award

Senior Research Scientist at Tallinn University of Technology, Estonia.

Dr. Mihkel Koel is a senior research scientist in analytical chemistry at Tallinn University of Technology, Estonia. With a scientific career spanning over four decades, he has significantly advanced the fields of chromatography, green chemistry, and electromigration methods. A graduate in theoretical physics from Tartu State University and a Candidate of Chemical Sciences from Leningrad State University, Dr. Koel has led numerous international collaborations and editorial initiatives. His work has earned national and international recognition, including the prestigious Order of the White Star (IV class) and the Scientific Award of the Estonian Republic. A fellow of the Royal Society of Chemistry, he continues to contribute to analytical chemistry through research, teaching, and global scientific exchange.

🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award :

Dr. Mihkel Koel is an exemplary candidate for the Best Researcher Award due to his lifelong dedication to innovation in analytical chemistry. With significant contributions to computer-aided chromatography and green chemistry, his research has advanced sustainable chemical analysis techniques globally. He has led major research projects, international scientific exchanges, and editorial work across leading journals. Recognized with national honors and global fellowships, Dr. Koel’s influence spans academia, industry, and policymaking. His pioneering methodologies, global collaborations, and commitment to sustainable science align perfectly with the core values of this award. As a thought leader and mentor, he continues to inspire new generations in chemistry and sustainable scientific development.

🎓 Education :

Dr. Mihkel Koel earned his degree in theoretical physics from Tartu State University (1967–1972). He later pursued postgraduate studies (1984–1989) at the Institute of Chemistry of the Estonian Academy of Sciences, where he specialized in analytical chemistry. His Candidate of Chemical Sciences degree was awarded in 1989 from Leningrad State University, Russia, for his dissertation on correlation chromatography. This strong foundation in both theoretical physics and analytical chemistry enabled him to bridge disciplines and innovate at the intersection of physical science and chemical analysis. His educational journey laid the groundwork for his groundbreaking contributions in electromigration, chromatographic separation, and sustainable analytical technologies.

🏢 Work Experience :

Dr. Koel began his research career in 1974 at the Institute of Chemistry of the Estonian Academy of Sciences as an engineer. Over the next several decades, he advanced through roles including junior researcher, senior scientist, and eventually lead research scientist at Tallinn University of Technology. He has participated in extended scientific exchanges at institutions like Duke University (USA), University of Helsinki (Finland), Vienna Technical University (Austria), and University of Lisbon (Portugal). A Fulbright Fellow and recipient of multiple international research grants, he has organized and chaired several global conferences on sustainable chemistry. Since 2005, he has served as the head of major analytical research efforts at Tallinn University of Technology.

🏅Awards and Honors

Dr. Koel has received numerous accolades recognizing his lifelong commitment to science. In 1991, he received the Scientific Award of the Estonian Republic for work in computer-aided chromatography. In 2006, he was awarded the Order of the White Star (IV class) for distinguished service to Estonia. Additional honors include the Golden Badge of Tallinn University of Technology (2004) and the Honorary Medal “Mente et Manu” (2018). He is a Fellow of the Royal Society of Chemistry, and a member of both the Estonian and American Chemical Societies. He has served on multiple editorial boards and organized leading international conferences, amplifying his influence in analytical and green chemistry worldwide.

🔬 Research Focus :

Dr. Mihkel Koel’s research centers on analytical chemistry, with particular emphasis on chromatographic separation, green chemistry, and electromigration techniques. His early work on correlation chromatography paved the way for automated chemical analysis, while his later studies introduced eco-friendly solvents and processes for sustainable chemical analytics. He has also contributed to capillary electrophoresis and ionic liquids for advanced biochemical detection. His research bridges theory and application, offering solutions for environmental monitoring, petrochemical analysis, and pharmaceutical testing. By integrating theoretical knowledge with real-world challenges, Dr. Koel’s work promotes green analytical methodologies, aligning science with sustainability goals and fostering global impact through education, research, and policy engagement.

📊 Publication Top Notes:

Developments in analytical chemistry initiated from green chemistry
Cited by: 12 | Year: 2022

Ferrocene-Modified Resorcinol–Formaldehyde Aerogels
Cited by: 3 | Year: 2023

Preparation and characterization of lignin-derived carbon aerogels
Cited by: 5 | Year: 2023

Implementing greening into design in analytical chemistry
Cited by: 15 | Year: 2022

Extraction of bioactive compounds from Dipsacus fullonum leaves using deep eutectic solvents
Cited by: 16 | Year: 2022

Characterization of Organosolv Lignins and Their Application in the Preparation of Aerogels
Cited by: 23 | Year: 2022

Carbon Aerogel Platinum-Praseodymium Oxide Nanocatalyst for Methanol Oxidation in 0.5 M Sulfuric Acid
Cited by: 2 | Year: 2023

Editorial overview: A closer look on green developments in analytical chemistry: Green analytical chemistry is going mainstream
Cited by: 17 | Year: 2022

🔚 Conclusion

Prof. Mihkel Koel’s body of work is a testimony to sustained excellence, innovation, and global collaboration. His contributions to analytical and green chemistry have not only advanced the academic frontier but also directly impacted environmental sustainability and biochemical analysis practices.Given his robust research track, international acclaim, and national recognition, Prof. Mihkel Koel is an outstanding nominee for the Best Researcher Award.

Geon-Ju Choi | Energy Harvesting | Best Researcher Award

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Dr. Geon-Ju Choi | Energy Harvesting
| Best Researcher Award

Research Engineer at Seoul National University of Science and Technology, South Korea.

Geon-Ju Choi is a Research Engineer at the Energy and Environment Research Institute, Seoul National University of Science and Technology, South Korea. He specializes in materials science with a focus on energy harvesting technologies. Holding a B.S., M.S., and Ph.D. in Materials Science and Engineering from SeoulTech, his work primarily targets the development of triboelectric nanogenerators (TENGs) using advanced polymer composites and nanostructured materials. Dr. Choi has published 15 SCI-indexed journal papers and contributed to 15 major research projects. His innovations in phase engineering and surface modification aim to enhance energy conversion efficiency. With 316 citations and an h-index of 9, he is establishing a strong footprint in self-powered systems and sustainable energy technologies.

🌍 Professional Profile:

Google Scholar 

Scopus

🏆 Suitability for the Best Researcher Award :

Dr. Geon-Ju Choi is a strong candidate for the Best Researcher Award due to his exceptional contributions to energy harvesting technologies. His pioneering work on triboelectric nanogenerators (TENGs) using advanced polymer composites has led to substantial advancements in mechanical-to-electrical energy conversion. With 15 SCI-indexed journal publications, 15 completed/ongoing research projects, and impactful collaboration with Dongguk University, his research showcases both depth and innovation. His citation index of 316 and h-index of 9 reflect growing international recognition. Dr. Choi’s research not only contributes to academic knowledge but also holds practical potential in developing sustainable, self-powered devices. His dedication and achievements make him a deserving candidate for this prestigious recognition.

🎓 Education :

Geon-Ju Choi completed his entire academic training in Materials Science and Engineering at the Seoul National University of Science and Technology (SeoulTech), South Korea. He obtained his Bachelor of Science (B.S.), followed by a Master of Science (M.S.), and then a Doctor of Philosophy (Ph.D.) in the same field. Throughout his academic journey, he focused on polymer science, nanostructured materials, and their application in energy harvesting systems. His doctoral research centered on the design and development of triboelectric nanogenerators (TENGs) based on polymer composites. His education laid a strong foundation in interdisciplinary research combining materials science, nanotechnology, and environmental energy systems, enabling him to lead cutting-edge innovations in sustainable energy technologies.

🏢 Work Experience :

Dr. Geon-Ju Choi currently serves as a Research Engineer at the Energy and Environment Research Institute of Seoul National University of Science and Technology. With a focus on energy harvesting, he has successfully led or contributed to 15 research projects. His professional experience spans the synthesis and characterization of polymer composites, development of nanostructured materials, and engineering of triboelectric nanogenerators (TENGs). In addition to academic research, he has worked on two consultancy or industry-related projects, highlighting his ability to bridge academia and real-world applications. His collaboration with Prof. Sohn at Dongguk University further underscores his teamwork and interdisciplinary research capabilities. Dr. Choi’s expertise continues to drive innovation in next-generation energy systems.

🏅Awards and Honors

While Dr. Geon-Ju Choi has not listed specific formal awards, his academic contributions and research impact represent honors in their own right. His work has garnered 316 citations with an h-index of 9, indicating growing international acknowledgment. Publishing 15 SCI-indexed journal papers and contributing to 15 major research projects demonstrate consistent research excellence. His collaborative project with Dongguk University further reflects peer recognition. As a rising expert in energy harvesting materials, his achievements position him as a researcher of high merit. His eligibility for the Best Researcher Award is further reinforced by the novelty and applicability of his research, which is oriented toward real-world solutions in the field of renewable and sustainable energy.

🔬 Research Focus :

Dr. Geon-Ju Choi’s research focuses on advanced polymer composites and nanostructured materials for energy harvesting, particularly triboelectric nanogenerators (TENGs). His work addresses the enhancement of TENG efficiency by exploring surface modifications, phase engineering, and the design of functional nanostructures. He aims to create highly responsive, durable, and environmentally adaptive TENGs capable of converting low-frequency mechanical energy into electricity. His research contributes to the development of self-powered systems that can operate under variable environmental conditions, providing sustainable solutions for powering wearable devices, IoT sensors, and environmental monitoring systems. His innovations align with global energy sustainability goals and aim to advance practical applications of nanogenerators in real-world scenarios.

📊 Publication Top Notes:

Performance enhancement of triboelectric nanogenerators based on polyvinylidene fluoride/graphene quantum dot composite nanofibers
Cited by: 76 | Year: 2019

Churros-like polyvinylidene fluoride nanofibers for enhancing output performance of triboelectric nanogenerators
Cited by: 68 | Year: 2020

Nafion-mediated barium titanate-polymer composite nanofibers-based triboelectric nanogenerator for self-powered smart street and home control system
Cited by: 60 | Year: 2023

Metal-organic frameworks-induced Self-Poling effect of polyvinylidene fluoride nanofibers for performance enhancement of triboelectric nanogenerator
Cited by: 22 | Year: 2023

Synergistic coupling of tribovoltaic and moisture‐enabled electricity generation in layered‐double hydroxides
Cited by: 21 | Year: 2024

Electronegative polyvinylidene fluoride/C60 composite nanofibers for performance enhancement of triboelectric nanogenerators
Cited by: 19 | Year: 2022

🔚 Conclusion

Geon-Ju Choi is highly suitable for the Best Researcher Award, particularly within categories related to energy harvesting, nanogenerator systems, and polymer composite research. His focused contributions to triboelectric nanogenerators have led to real advancements in sustainable energy technologies, addressing global challenges like renewable energy and self-powered electronics.With strong research credentials, a growing citation record, and high-impact publications, he embodies the qualities of a dedicated, innovative, and future-forward researcher. Enhancing his global presence and commercial impact would make his profile even stronger for future recognitions.

Saad Abd-Elkader | Space Science | Best Researcher Award

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Mr. Saad Abd-Elkader | Space Science
| Best Researcher Award

Research Assistant at National Research Institute of Astronomy and Geophysics (NRIAG), Egypt.

Saad Abd-Elkader Hassan is an Egyptian astrophysicist and a PhD student at Al-Azhar University, currently serving as an Assistant Researcher at the National Research Institute of Astronomy and Geophysics (NRIAG), Cairo. He specializes in high-energy astrophysics, with a focus on Active Galactic Nuclei (AGN) and blazar-type sources. Saad is known for his strong analytical skills, creative mindset, and deep commitment to uncovering the energetic secrets of the universe. He has presented at international conferences, participated in specialized astrophysics schools, and trained in major Egyptian observatories. Fluent in Arabic and proficient in English, Saad combines technical expertise in X-ray data analysis and programming with a passion for cosmic exploration, positioning him as a rising figure in astrophysical research in the MENA region.

🌍 Professional Profile:

ORCID

Google Scholar 

🏆 Suitability for the Best Researcher Award :

Saad Abd-Elkader Hassan stands out as an exceptional candidate for the Best Researcher Award due to his focused and impactful contributions to high-energy astrophysics, particularly the study of AGNs and blazars. His work has led to insights into X-ray variability, emission properties, and the unified model of AGN structure. As a fast learner and a self-motivated researcher, Saad combines observational data with advanced software tools like XSPEC and machine learning for astrophysical modeling. He actively engages in scientific collaborations, regional conferences, and workshops. His scholarly rigor, combined with his dedication to public scientific education and consistent academic progression, reflect excellence in research, scientific communication, and innovation in astrophysical science, making him highly deserving of this award.

🎓 Education :

Saad Abd-Elkader Hassan began his academic journey with a B.Sc. in Astrophysics from Al-Azhar University, Cairo, Egypt, in 2014, where he completed a graduation project on the Three-Body Problem. He earned his M.Sc. in Astrophysics in 2020 from the same university, focusing on “Suzaku X-ray Studies of Some Active Galactic Nuclei BL Lacertae Type.” He is currently pursuing a Ph.D. in Astrophysics at Al-Azhar University, with a dissertation titled “Some Advanced X-ray Studies of Active Galactic Nuclei Blazars Type,” highlighting his specialization in high-energy cosmic phenomena. His education combines strong theoretical grounding, computational proficiency, and observational experience, positioning him at the forefront of AGN research within Egypt and internationally.

🏢 Work Experience :

Saad Abd-Elkader Hassan has served as an Assistant Researcher at the National Research Institute of Astronomy and Geophysics (NRIAG) since completing his master’s degree. He has participated in numerous observational and data-analysis projects, particularly focusing on X-ray studies of AGNs and blazars. His hands-on experience spans across advanced astronomical tools and platforms, including XSPEC, Xselect, and Python for data modeling. He has trained at Cairo University’s Astronomy Department and participated in national-level workshops related to space technology and astronomical site selection. Saad’s work reflects deep engagement with both theoretical models and empirical data, making significant contributions to the scientific understanding of cosmic phenomena. His ongoing doctoral work strengthens his already solid foundation in astrophysical research.

🏅Awards and Honors

Saad Abd-Elkader Hassan has earned recognition through selection and participation in multiple prestigious astrophysical schools and conferences. Notably, he attended the 40th International School for Young Astronomers (ISYA), and advanced ArAS Schools for Astrophysics, hosted by the Kottamia Astronomical Observatory. He also presented research at key conferences such as the Arab Conference on Astronomy and Geophysics (ACAG-6, 7, and 8) and the IAU Regional MEARIM Meeting in 2023. His consistent presence at these events showcases both academic excellence and recognition by the regional scientific community. These honors underscore his potential and promise as a researcher deeply committed to astrophysics. His efforts continue to shape future contributions to high-energy astrophysical research in Egypt and beyond.

🔬 Research Focus :

Saad Abd-Elkader Hassan’s research centers on high-energy astrophysics, with a particular focus on Active Galactic Nuclei (AGN), especially blazar-type AGNs. His work involves analyzing X-ray emissions from these energetic cosmic sources, aiming to understand their variability, flaring behavior, and structural dynamics. Saad explores theoretical frameworks like the unified model of AGN and tests them against observational data obtained from X-ray satellites such as Suzaku. He is interested in how rapid AGN variability can inform new models of galaxy evolution and black hole accretion physics. By integrating software tools, machine learning, and simulation, his research contributes to the broader understanding of the universe’s most extreme and luminous phenomena, playing a key role in astrophysical model advancement.

📊 Publication Top Notes:

📄 Multi-band analyses of the bright GRB~230812B and the associated SN2023pel
📅 Year: 2023 | 🔍 Cited by: 8 | 🪐 Supernova ✨ GRB

📄 Frequency and photometric analysis of the short period pulsating star YZ Boo
📅 Year: 2021 | 🔍 Cited by: 6 | 🌟 Variable Star 📊 Photometry

📄 X-ray flux and spectral variability of BL Lacertae objects Mrk 421, Mrk 501, and 1ES1426+428 with Suzaku satellite
📅 Year: 2021 | 🔍 Cited by: 4 | ☄️ AGN 📡 X-ray

📄 Photometric and Spectroscopic Analysis of the SX Phe Star BL Cam
📅 Year: 2022 | 🔍 Cited by: 3 | 💫 SX Phe 🔬 Spectroscopy

📄 GRANDMA observations of SN 2023wrk, a luminous type Ia supernova with significant unburned carbon in the outer ejecta
📅 Year: 2024 | 🔍 Cited by: 1 | 🔭 Type Ia SN 🌌 Carbon Detection

📄 Multiparameter study for a new ground-based telescope in Egypt
📅 Year: 2023 | 🔍 Cited by: 1 | 🛰️ Observatory Design 🏜️ Site Selection

Md. Kamrul Hasan | Biomedical Engineering | Best Researcher Award

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Mr. Md. Kamrul Hasan | Biomedical Engineering
| Best Researcher Award

Lecturer and Head of the Department at Teesta University, Bangladesh.

Mr. Md. Kamrul Hasan is currently serving as the Head of the Department of Electrical and Electronic Engineering (EEE) at Teesta University, Rangpur, Bangladesh. A passionate educator and researcher, he holds both B.Sc. and M.Sc. degrees in EEE from Islamic University, Kushtia. His work focuses on thermoelectric materials, renewable energy systems, and smart technologies. He has demonstrated leadership in academic project design, thesis supervision, and publication in peer-reviewed journals. His career objective emphasizes contributing to the academic field through teaching and impactful research. With expertise in thermoelectric modules, material synthesis, and smart system development, Mr. Hasan has become a promising voice in electrical engineering and applied sciences, aiming to shape the future of energy-efficient technologies.

🌍 Professional Profile:

Scopus

ORCID

Google Scholar 

🏆 Suitability for the Best Researcher Award :

Md. Kamrul Hasan’s suitability for the Best Researcher Award stems from his outstanding dedication to cutting-edge research and academic innovation. His contributions in thermoelectric generator optimization, renewable energy, material science, and smart technologies have resulted in impactful findings and scholarly publications. He has designed and implemented multiple energy-harvesting systems and led innovative projects such as Bi₂Te₂.₇Se₀.₃ thermoelectric modules and PbO nanoparticles for biomedical use. As HOD at Teesta University, he combines leadership, mentorship, and scientific advancement, cultivating research excellence in his department. His continuous efforts to integrate theoretical knowledge with experimental applications exemplify his scholarly impact, making him a strong contender for recognition as a leading researcher in electrical and electronic engineering.

🎓 Education :

Md. Kamrul Hasan pursued his entire higher education in Electrical and Electronic Engineering (EEE) at Islamic University, Kushtia, Bangladesh. He completed his M.Sc. in Engineering in 2021 with a CGPA of 3.75 (Thesis Group), conducting advanced research in energy harvesting via thermoelectric modules. Prior to this, he earned his B.Sc. in Engineering in 2020, with a CGPA of 3.60, where he focused on embedded systems with a radar-based object detection project. His academic foundation began with strong results in pre-university education: he passed HSC in 2015 from Shathibari College with a GPA of 4.75 and SSC in 2013 from Sathibari M.L. High School, securing a perfect GPA of 5.00. His consistent academic excellence reflects his deep-rooted passion for engineering and innovation.

🏢 Work Experience :

Currently the Head of the EEE Department at Teesta University, Rangpur, Md. Kamrul Hasan brings academic leadership and technical expertise to his role. With a strong focus on research-led teaching, he mentors students in project development and thesis execution. His M.Sc. thesis involved optimizing thermoelectric modules, while his B.Sc. project introduced an Arduino-based radar system. Beyond academics, he has led experiments in designing PbTe-based thermoelectric coolers, synthesizing Bi₂Te₂.₇Se₀.₃ and PbO nanoparticles, and developing energy-efficient systems. His hands-on experience with material characterization, sensor design, and automation technologies underpins his practical teaching methods. As a departmental head, he fosters a collaborative research culture and contributes significantly to curriculum enhancement, institutional development, and academic excellence.

🏅Awards and Honors

While formal award recognitions are still growing in his academic journey, Md. Kamrul Hasan has achieved noteworthy distinctions through his impactful research and leadership. His appointment as Head of the EEE Department at a young stage in his career signifies institutional trust in his scholarly capabilities. He has published in international journals, including a 2024 paper on optimizing Bi₂Te₃ thermoelectric coolers with numerical simulations, marking his contribution to renewable energy and material science. He has also been invited for collaborative research with international academics, demonstrating recognition beyond his institution. His innovative undergraduate and postgraduate projects have received acclaim from academic panels, positioning him as a rising researcher with the potential to earn national and international accolades in the near future.

🔬 Research Focus :

Md. Kamrul Hasan’s research revolves around sustainable technologies and smart energy systems. His core focus includes thermoelectric generators and coolers, renewable energy harvesting, semiconductor materials, thin films, and solar cells. He has also explored biomedical engineering applications, such as PbO nanoparticles for anticancer research. His work integrates simulation-based design and experimental validation to optimize thermoelectric performance and develop next-generation energy devices. He is particularly interested in Bi₂Te₂.₇Se₀.₃ and PbTe-based thermoelectric materials and has successfully designed and characterized custom modules for waste heat recovery. His interdisciplinary interests extend to embedded systems, information and communication technologies, and sensor-based robotics, demonstrating his versatility in addressing both energy and automation challenges. He aims to bridge the gap between theoretical science and practical solutions.

📊 Publication Top Notes:

📘 Optimizing the performance of Bi₂Te₃ TECs through numerical simulations using COMSOL Multiphysics – 2024, Cited by: 4
📗 Enhancing PV performance of Al/ZnO/CdS/GaAs/NiO/Au solar cells through diverse layer combinations by SCAPS-1D – 2025, Cited by: 1
📙 Enhancing Bi₂Te₂.₇₀Se₀.₃₀ Thermoelectric Module Performance through COMSOL Simulations – 2024, Cited by: 1
📘 Optimizing layer configuration and material selection to enhance CIGS solar cell performance through computational simulation – 2025.
📗 Optimizing FASnI₃ perovskite solar cells: Advancements with organic and inorganic transport layers – 2025. 
📙 Enhancing the performance of FAPbI₃ using organic and inorganic transport layers in perovskite solar cells – 2025. 
📘 Influence of Leg Geometry on the Performance of Bi₂Te₃ Thermoelectric Generators – 2024 . 

Tomohiro Hayashida | Machine Learning | Best Researcher Award

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Prof. Tomohiro Hayashida | Machine Learning
| Best Researcher Award

Professor at Hiroshima University , Japan.

Professor Tomohiro Hayashida is a distinguished scholar in decision-making, machine learning, and optimization, currently serving at Hiroshima University. After earning his Master’s and Ph.D. in Engineering from the same institution, he joined the university as a Research Associate in 2006 and steadily rose to Full Professor by 2024. With over 80 academic publications, Prof. Hayashida has led competitive national research grants and worked on practical innovations in transportation and scheduling algorithms. His interdisciplinary collaborations span across academia and industry, reflecting his commitment to both theoretical advancements and real-world applications. His citation record, leadership in JSPS-funded projects, and role in applied AI solutions exemplify his deep impact in computational engineering and operations research.

🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award :

Prof. Tomohiro Hayashida exemplifies the qualities deserving of the Best Researcher Award. He has produced over 50 peer-reviewed journal papers, many in top-tier SCI/Scopus-indexed journals. As Principal Investigator of multiple JSPS KAKEN-funded projects, including those in evolutionary computing and dynamic systems, he has shown consistent research leadership. His collaborative work with industry, such as optimizing dispatch algorithms with SmartRyde Inc., demonstrates strong translational research. With an h-index around 11–12 and 442+ citations, he balances scholarly excellence and societal impact. His active role in multi-disciplinary collaborations—both domestic and international—further reinforces his stature as an innovative and impactful researcher, making him highly suitable for the Best Researcher Award.

🎓 Education :

Prof. Hayashida received his entire higher education from Hiroshima University. He completed his Master’s degree in Engineering in 2006 and subsequently pursued and earned his Ph.D. in Engineering. His academic training focused on optimization theory, intelligent systems, and operations research, equipping him with a robust foundation in both theoretical and applied research. The university’s focus on computational intelligence and engineering sciences helped shape his research vision early in his career. His seamless transition from student to researcher within the same academic institution showcases his consistent excellence and growth as a scholar. This strong academic grounding laid the basis for his long-term contributions to machine learning, decision sciences, and interdisciplinary engineering research.

🏢 Work Experience :

Prof. Tomohiro Hayashida began his academic career in 2006 as a Research Associate at Hiroshima University, immediately after earning his Master’s degree. He was promoted to Assistant Professor in 2007, Associate Professor in 2015, and Full Professor in 2024. He has over 18 years of academic experience in teaching, research, and supervision. Beyond academic duties, he is active in government-funded research and industry collaborations, such as the ride-hailing optimization project with SmartRyde Inc. He also contributes to the Digital Manufacturing Education and Research Center at Hiroshima University. His extensive experience in both research project leadership and educational innovation showcases a balanced, impactful academic career with national and international influence.

🏅Awards and Honors

While specific award titles are not publicly listed, Prof. Hayashida’s selection as Principal Investigator for multiple highly competitive JSPS KAKEN Grants—including Young Researcher awards and Scientific Research (C) projects—reflects significant national recognition of his research excellence. His promotion to Full Professor at Hiroshima University, a top-tier Japanese institution, itself is a mark of academic distinction. He has been entrusted with strategic roles in collaborative projects, some of which have gained media coverage, such as the SmartRyde dispatch algorithm. These achievements, combined with a strong citation record and presence in high-impact journals, serve as implicit acknowledgment of his contributions to AI, optimization, and applied decision-making sciences within both academic and practical domains.

🔬 Research Focus :

Prof. Hayashida’s research centers on decision-making, machine learning, optimization, and evolutionary computation. His work addresses complex real-world problems like multi-objective scheduling, group decision analysis, and dynamic system optimization. Through JSPS-funded projects, he has developed algorithms for adaptive agents, cooperative enterprises, and evolutionary scheduling. His recent collaborations include intelligent systems for ride-hailing and dynamic dispatching. He integrates mathematical modeling with practical applications, focusing on AI-driven solutions for industries such as energy systems and transportation. His interdisciplinary approach merges operations research, computer science, and systems engineering. With over 80 publications and national/international partnerships, his research advances both academic knowledge and technological innovation, particularly in adaptive, data-driven decision systems.

📊 Publication Top Notes:

📘 Integrated Optimization Method for Task Allocation and Hierarchical Reinforcement Learning in Cargo Transport Robots
🗓️ Year: 2025 | 📚 Journal: IEEJ Transactions on Electronics Information and Systems |

📄 Constrained-multiobjective Evolutionary Algorithm for Distribution System Reconfiguration under Severe Constraints
🗓️ Year: 2025 | 📚 Conference Paper |

🚚 Integrating Task Allocation and Hierarchical Reinforcement Learning for Optimized Cargo Transport Routing
🗓️ Year: 2025 | 📚 Conference Paper |

⚡ Distribution System Reconfiguration by an Evolutionary Algorithm using Constraint-Guided Dominance and Archive-Based Individual Preservation Strategy
🗓️ Year: 2024 | 📚 IEEJ Transactions on Power and Energy |

📊 Expectation and Fractile Models for Decentralised Distribution Systems under Demand Uncertainty and their Computational Methods
🗓️ Year: 2024 | 📚 International Journal of Operational Research |

🎓 WIP: Machine Learning Models for Predicting Student Performance in IoT-Enhanced Education
🗓️ Year: 2024/2025 | 📚 Conference Paper |

📈 WIP: Study on a Data-Driven Adaptive Learning Support System Design for Individualized Optimal Learning
🗓️ Year: 2024/2025 | 📚 Conference Paper |

Md. Monjarul Alam | Green Technology | Best Researcher Award

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Prof. Md. Monjarul Alam | Green Technology
| Best Researcher Award

ICE Chancellor at Hamdard University Bangladesh, Bangladesh.

Dr. Monjarul Alam is the Vice-Chancellor of Hamdard University Bangladesh and a distinguished researcher in nanomaterials, biosensors, and electronic engineering. He earned his Ph.D. in Electronic Engineering from Dublin City University, Ireland, and completed a prestigious postdoctoral fellowship at City, University of London, UK. With extensive teaching, research, and leadership experience, Dr. Alam has led several government-funded research projects and authored numerous scholarly articles. His commitment to academic excellence and innovation in nanotechnology and photonics has significantly contributed to science and education in Bangladesh. Recognized with national and international awards, he exemplifies excellence in research leadership. His academic journey and impactful contributions make him highly suitable for the Best Researcher Award.

🌍 Professional Profile:

ORCID

Scopus

Google Scholar 

🏆 Suitability for the Best Researcher Award :

Dr. Monjarul Alam’s profound research in nanomaterials, biosensing, and thin-film electronics positions him as an ideal candidate for the Best Researcher Award. His postdoctoral work in nanophotonics, Ph.D. on nanomaterials processing, and multiple government-funded projects on biosynthesis of nanoparticles for medical and sensor applications showcase a robust research portfolio. Dr. Alam has demonstrated academic leadership through his role as Vice-Chancellor, while also securing major research grants and publishing impactful findings. His awards, including an Ireland Government Scholarship and national-level presentation accolades, highlight his excellence and global recognition. With a strong record of interdisciplinary innovation and sustained academic output, Dr. Alam embodies the values of research excellence, innovation, and societal impact.

🎓 Education :

Dr. Alam holds a Ph.D. in Electronic Engineering with a specialization in nanomaterials and photonics from Dublin City University, Ireland, supported by an Ireland Government Scholarship. He completed a postdoctoral research program at City, University of London in Mechanical Engineering and Aeronautics. His earlier education includes an M.Phil. and an M.Sc. (with thesis) in Electrical and Electronic Engineering from the Islamic University, Kushtia, Bangladesh, both delivered in English. He earned a First Class B.Sc. in Electrical and Electronic Engineering from the same institution. Dr. Alam began his academic journey with top results in both SSC and HSC examinations under the Jessore Board. His rigorous academic foundation underpins his expertise in advanced materials and engineering research.

🏢 Work Experience :

Dr. Monjarul Alam serves as the Vice-Chancellor of Hamdard University Bangladesh, bringing over two decades of experience in academic leadership, research, and engineering education. He previously held positions at Islamic University, Kushtia, contributing significantly to research in nanotechnology and electronics. Dr. Alam has led national research projects funded by the Ministry of Science and Technology and University Grants Commission in Bangladesh. His research includes biosynthesis of nanoparticles, thin film synthesis, and biomedical applications. His postdoctoral research at City, University of London and doctoral work in Ireland enhanced his international academic exposure. Dr. Alam has mentored numerous students, published widely, and advanced institutional research capabilities, combining scholarly excellence with visionary administration.

🏅Awards and Honors

Dr. Alam has received several prestigious awards and fellowships throughout his academic career. These include the Ireland Government Scholarship for his Ph.D. studies in nanomaterials and the Ministry of Science and ICT Fellowship in Bangladesh for his M.Phil. His undergraduate achievements were recognized by the Bangladesh Government Higher Education Authority through a merit-based stipend. Additionally, Dr. Alam earned an Oral Presentation Award at the Faculty of Engineering and Computing, Dublin City University. His consistent recognition by national and international bodies reflects the impact and quality of his research. His awarded research projects on biosynthesis of nanoparticles further signify his contribution to scientific innovation and development in applied nanotechnology.

🔬 Research Focus :

Dr. Alam’s research is focused on nanotechnology, specifically the green biosynthesis of nanoparticles for biomedical and sensor applications. His projects investigate silver, copper oxide, and tin oxide nanoparticles, leveraging natural plant extracts for environmentally sustainable synthesis. His work spans thin-film technology, antibacterial coatings, gas sensors, and optoelectronic devices. Dr. Alam emphasizes the interface between nanophotonics, biocompatible materials, and electronic engineering to develop innovative solutions for healthcare and environmental monitoring. His interdisciplinary research integrates materials science, electronics, and biotechnology, aiming to produce cost-effective, high-performance materials. Through collaborations and national research grants, he is advancing the field of functional nanomaterials, contributing both to fundamental science and applied technologies in Bangladesh and beyond.

📊 Publication Top Notes:

🔬 Synthesis and characterization of barium titanate (BaTiO₃) nanoparticle
📅 Year: 2012 | 📑 Cited by: 65

🧵 Plasma treatment of natural jute fibre by RIE 80 plus plasma tool
📅 Year: 2010 | 📑 Cited by: 58

🪡 Application and Advances in Micro-Processing of Natural Fibre (Jute) Based Composites
📅 Year: 2014 | 📑 Cited by: 51

🧪 Numerical simulation of Dean number and curvature effects on magneto-biofluid flow through a curved conduit
📅 Year: 2013 | 📑 Cited by: 47

⚗️ Synthesis and characterization of Ni doped ZnO nanoparticles
📅 Year: 2014 | 📑 Cited by: 30

💧 Moisture Removal from Natural Jute Fibre by Plasma Drying Process
📅 Year: 2012 | 📑 Cited by: 24

🔋 Hybrid organic–inorganic spin-on-glass CuCl films for optoelectronic applications
📅 Year: 2009 | 📑 Cited by: 22

🏺 Effects of sintering temperature and zirconia content on the mechanical and microstructural properties of MgO, TiO₂ and CeO₂ doped alumina–zirconia (ZTA)
📅 Year: 2023 | 📑 Cited by: 18

Md. Jahirul Islam Mamun | Biomedical Engineering | Best Researcher Award

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Mr. Md. Jahirul Islam Mamun | Biomedical Engineering
| Best Researcher Award

Mr. Md. Jahirul Islam Mamun at University of Chittagong, Bangladesh.

Md. Jahirul Islam Mamun is an emerging pharmaceutical researcher from Bangladesh with a passion for pharmaceutical science and drug development. Currently completing his Bachelor of Pharmacy (Professional) at the University of Chittagong, he has demonstrated consistent academic excellence with a CGPA of 3.65. He has gained practical exposure through internships at Square Pharmaceuticals PLC and Chittagong Medical College Hospital, developing his skills in industrial and clinical settings. His research on the pharmacological properties of Syzygium grande highlights his commitment to natural drug discovery and innovation. With strong communication, leadership, and analytical skills, Jahirul aspires to contribute meaningfully to pharmaceutical advancements, making him a promising candidate for the Best Researcher Award.

🌍 Professional Profile:

ORCID

Scopus

Google Scholar 

🏆 Suitability for the Best Researcher Award :

Md. Jahirul Islam Mamun exhibits outstanding promise in pharmaceutical research through his academic performance, practical training, and dedicated project work. His research on Syzygium grande demonstrates hands-on experience with both in vitro and in vivo pharmacological screening, showcasing an advanced understanding of drug discovery techniques. He has also applied computational methods like molecular docking, which reflects a well-rounded research skill set. Jahirul’s proactive engagement in internships at leading institutions such as Square Pharmaceuticals and Chittagong Medical College Hospital has equipped him with industrial and clinical perspectives. His dedication to improving patient compliance and developing effective medications through scientific inquiry makes him a strong candidate for the Best Researcher Award at the undergraduate level.

🎓 Education :

Md. Jahirul Islam Mamun is pursuing a Bachelor of Pharmacy (Professional) at the University of Chittagong, where he has achieved a CGPA of 3.65 up to his fourth year. His solid foundation in pharmaceutical sciences is complemented by a strong academic background. He completed his Higher Secondary Certificate (HSC) from Chittagong Port College in 2018, earning a GPA of 4.83, and his Secondary School Certificate (SSC) from Housing & Settlement Public School in 2016 with a perfect GPA of 5.00. His educational journey reflects consistent academic performance and dedication to excellence. He is also skilled in Microsoft Word and internet research, supporting his academic and research activities effectively.

🏢 Work Experience :

Jahirul has gained valuable practical experience through structured internships in both industrial and clinical settings. At Square Pharmaceuticals PLC (April 2023), he underwent industrial training, gaining insight into pharmaceutical manufacturing, quality control, and regulatory standards. His hospital training at Chittagong Medical College Hospital (January–March 2024) provided him with exposure to hospital pharmacy practices, patient care, and real-world pharmacotherapy. These experiences enhanced his problem-solving, teamwork, and communication skills. Additionally, he has led a project focused on the pharmacological and phytochemical analysis of Syzygium grande, employing methods such as molecular docking and various biological activity screenings. These experiences have equipped him with a solid foundation in applied pharmaceutical research and professional practice.

🏅Awards and Honors

While Md. Jahirul Islam Mamun is in the early stages of his research career, his academic consistency and initiative in research set him apart. He has maintained a high academic standing with a CGPA of 3.65 in his B.Pharm studies and achieved top GPAs during his HSC and SSC. His selection for internships at prestigious institutions like Square Pharmaceuticals and Chittagong Medical College Hospital reflects his competence and promise. His research project on Syzygium grande has received recognition within his department for its comprehensive methodology. With support and recommendation from senior faculty, including Associate Professors Dr. Md. Tanveer Ahsan and S.M. Moazzem Hossen, he is well-positioned for future academic and research honors.

🔬 Research Focus :

Md. Jahirul Islam Mamun’s research centers on exploring natural compounds for pharmaceutical applications. His primary project investigates the methanolic leaf extract of Syzygium grande, evaluating its anti-inflammatory, antipyretic, analgesic, and antioxidant activities through both in vitro and in vivo studies. He also applies molecular docking to assess bioactive compound interactions at the molecular level, bridging experimental and computational approaches. His work aims to identify safe, effective plant-based therapeutics that can be translated into clinical applications. Jahirul is particularly interested in improving patient compliance through innovative drug formulations derived from natural sources. His holistic approach to pharmacological research combines technical rigor with a deep commitment to advancing health outcomes through scientific inquiry.

📊 Publication Top Notes:

📘 Spices and culinary herbs for the prevention and treatment of breast cancer: A comprehensive review with mechanistic insights
📅 Year: 2024 | ✍️ Cited by: 7

📘 Methanolic Extract of Edible Lasia spinosa Rhizome: A Potential Natural Source of Analgesic, Diuretic, and Thrombolytic Agents
📅 Year: 2025 | ✍️ Cited by: 1

📘 Neuropharmacological, cytotoxic, and anthelmintic potentials of Lasia spinosa (L.) Thwaites rhizome: in vivo, in vitro, and computational approach
📅 Year: 2025 | ✍️ Cited by: 1

📘 A Multifaceted Exploration of Shirakiopsis indica (Willd) Fruit: Insights into the Neuropharmacological, Antipyretic, Thrombolytic, and Anthelmintic Attributes of a Mangrove
📅 Year: 2025 |

📘 Antioxidant, Anti‐inflammatory, and Neuropharmacological Potential of Syngonium podophyllum Flower Methanolic Extract: Insights from In Vivo, In Vitro, In Silico, and GC‐MS/MS
📅 Year: 2025 |

Sihan Huang | Smart manufacturing | Best Researcher Award

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Assoc. Prof. Dr. Sihan Huang | Smart manufacturing
| Best Researcher Award

Associate Professor at Beijing Institute of Technology, China.

Dr. Sihan Huang is an Associate Professor at the Beijing Institute of Technology, specializing in intelligent manufacturing systems and digital twin technologies. With a Ph.D. in Mechanical Engineering and a B.S. in Industrial Engineering from the same institution, she has rapidly advanced in academia, supported by postdoctoral experience and international research exposure at the University of Michigan. Dr. Huang has published extensively in top-tier journals, contributing innovative research on reconfigurable manufacturing systems, human-robot collaboration, and smart factories. Her work bridges cutting-edge technologies like blockchain, machine learning, and Industry 5.0, making her a prominent figure in smart manufacturing. Her scientific vision and impactful research output make her a strong candidate for the Best Researcher Award.

🌍 Professional Profile:

ORCID

Scopus

Google Scholar 

🏆 Suitability for the Best Researcher Award :

Dr. Sihan Huang’s prolific contributions to smart and reconfigurable manufacturing, including integration of Industry 5.0, digital twin systems, and blockchain-based solutions, position her as a leading voice in next-generation manufacturing research. Her interdisciplinary expertise merges mechanical engineering, AI, and industrial systems, reflected in highly cited publications in top journals like Journal of Manufacturing Systems and International Journal of Production Research. She demonstrates academic leadership through her pioneering work on delayed reconfigurable manufacturing and human-robot collaboration. With international research collaborations and a rapid ascent from Ph.D. to Associate Professor, Dr. Huang exemplifies research excellence, innovation, and leadership. These accomplishments make her exceptionally suitable for the Best Researcher Award, recognizing her as a transformative force in advanced manufacturing.

🎓 Education :

Dr. Sihan Huang received both her undergraduate and doctoral education from the prestigious Beijing Institute of Technology. She earned her Bachelor of Science in Industrial Engineering in 2014, where she laid a solid foundation in systems design and optimization. She continued her academic journey at the same institution, obtaining a Ph.D. in Mechanical Engineering in 2020. During her Ph.D., she was selected for an international visiting scholar program at the University of Michigan, Ann Arbor (2017–2019), where she deepened her expertise in intelligent systems and global research methods. Her education reflects a strong integration of industrial systems thinking and cutting-edge research methodology, setting the stage for her impactful academic and scientific career.

🏢 Work Experience :

Dr. Sihan Huang has cultivated an impressive academic and research trajectory. Since 2022, she has served as an Associate Professor at the Beijing Institute of Technology, leading research in digital manufacturing systems. From 2020 to 2022, she conducted postdoctoral research at the same institution, contributing to national projects and high-impact research. Notably, she was a visiting Ph.D. researcher at the University of Michigan, Ann Arbor (2017–2019), where she engaged in international collaborative studies on smart manufacturing and digital twin systems. Her academic roles have encompassed mentoring, publishing, and leading interdisciplinary projects. This blend of domestic and global experience underpins her scholarly leadership and reinforces her standing as a promising researcher in intelligent manufacturing.

🏅Awards and Honors

Dr. Sihan Huang has earned recognition through high-impact publications and global research engagements. While specific award titles are not listed in the current profile, her early promotion to Associate Professor and her invitation to conduct research at the University of Michigan indicate strong academic recognition and institutional trust. Her articles in top-tier journals such as Journal of Manufacturing Systems and International Journal of Production Research reflect peer acknowledgment and international impact. Her contributions to the evolving fields of Industry 5.0, human-robot collaboration, and blockchain-integrated systems position her for numerous competitive research honors. Her growing citation base and consistent scholarly output signify her as an emerging leader and a strong contender for distinguished research awards.

🔬 Research Focus :

Dr. Sihan Huang’s research centers on intelligent and reconfigurable manufacturing systems, particularly in the context of digital twin technologies, Industry 5.0, and blockchain-based data management. Her work emphasizes human-robot collaboration, multi-objective optimization, and machine learning-driven system design. She is known for developing innovative models that integrate part family formation with reconfigurable system design, offering practical solutions for flexible and smart production. Her research bridges theoretical modeling with industrial applications, enhancing the resilience and adaptability of future manufacturing ecosystems. Dr. Huang’s interdisciplinary approach incorporates AI, mechanical design, and digital systems, contributing to the development of autonomous, sustainable, and interconnected production systems aligned with Society 5.0 objectives.

📊 Publication Top Notes:

📘 Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution
📅 Year: 2022 | 📚 Journal of Manufacturing Systems, 64: 424–428
🔍 Cited by: 616

🔐 Blockchain-based data management for digital twin of product
📅 Year: 2020 | 📚 Journal of Manufacturing Systems, 54: 361–371
🔍 Cited by: 310

⚙️ Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems
📅 Year: 2017 | 📚 International Journal of Advanced Manufacturing Technology, 89: 2231–2249
🔍 Cited by: 92

🧪 Toward digital validation for rapid product development based on digital twin: a framework
📅 Year: 2022 | 📚 International Journal of Advanced Manufacturing Technology, 1–15
🔍 Cited by: 84

🤖 Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin
📅 Year: 2022 | 📚 Journal of Manufacturing Systems, 65: 330–338
🔍 Cited by: 69

🏗️ Building blocks for digital twin of reconfigurable machine tools from design perspective
📅 Year: 2022 | 📚 International Journal of Production Research, 60(3): 942–956
🔍 Cited by: 48