Year: 2025

🏆 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

Published on 08/07/202508/07/2025 by Engineering Scientist

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:

🏆 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

Published on 08/07/202508/07/2025 by Engineering Scientist

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:

🏆 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

Published on 07/07/202507/07/2025 by Engineering Scientist

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:

🏆 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

Saqib Qamar | Artificial Intelligence | Best Researcher Award

Published on 04/07/202504/07/2025 by Engineering Scientist

Dr. Saqib Qamar |Artificial Intelligence
| Best Researcher Award

Assistant Professor at Sohar University, India.

Dr. Saqib Qamar is a dedicated Assistant Professor at Sohar University, Oman, specializing in computer science with expertise in medical image analysis and deep learning. With a Ph.D. from Huazhong University of Science and Technology, China, and postdoctoral research from Sweden’s top institutes—KTH and Umea University—he has demonstrated strong research capabilities through high-quality publications and international collaboration. His academic career spans teaching, curriculum development, and industry experience. Known for his work ethic, innovation, and research productivity, Dr. Qamar has a profound commitment to student success and scientific excellence. His scholarly contributions and interdisciplinary engagement make him a compelling candidate for the Best Researcher Award.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Dr. Saqib Qamar’s academic journey reflects consistent excellence and impactful contributions to computer science, particularly in medical image analysis using AI. With experience in global research environments and a record of peer-reviewed publications, he bridges theory with real-world applications. His Ph.D. work on 3D CNNs for brain MRI segmentation was both innovative and practically relevant. As a postdoctoral fellow at KTH and Umea University, he engaged in collaborative, cutting-edge research. He also actively mentors students and contributes to academic discourse. His awards, research leadership, and ongoing projects demonstrate a trajectory of influence, making him highly suitable for the Best Researcher Award.

🎓 Education :

Dr. Saqib Qamar earned his Ph.D. in Computer Science from Huazhong University of Science and Technology, China (2015–2019), with a dissertation focused on 3D CNN models for brain MRI segmentation. His doctoral research integrated deep learning with medical imaging and received the HUST Excellence Award. He completed his Master’s in Computer Science at Aligarh Muslim University, India (2010–2013), where he studied AI, programming, and software engineering, and was awarded a Merit Cum Means scholarship. His academic foundation was laid through a B.Sc. (Hons.) in Statistics from the same university (2007–2010), where he focused on probability, statistics, and linear algebra, graduating with First Division.

🏢 Work Experience :

Dr. Saqib Qamar is currently an Assistant Professor at Sohar University, Oman (2025–present), where he teaches and conducts research in AI and medical image computing. He was previously a postdoctoral fellow at KTH Royal Institute of Technology (2024–2025) and Umea University (2022–2024), Sweden, focusing on machine learning and deep learning applications. At Umea, he also taught deep learning courses. Earlier, he served as Assistant Professor at Madanapalle Institute of Technology and Science, India (2019–2021), where he taught programming and ML subjects. Prior to academia, he worked as a Database Developer at nServices, Delhi (2013–2015), specializing in Oracle-based data systems and programming.

🏅Awards and Honors

Dr. Saqib Qamar has been recognized for his academic performance and research excellence throughout his career. He received the HUST Excellence Award during his Ph.D. at Huazhong University of Science and Technology, acknowledging his exceptional work in medical image segmentation using deep learning. He was also awarded the Merit Cum Means Scholarship by the Government of India during his Master’s studies. His postdoctoral research in Sweden was supported through prestigious international fellowships, and he has contributed to multiple international projects. Additionally, he has received appreciation for teaching excellence and academic service in both India and Oman. His record of honors reflects his dedication to advancing AI and medical informatics research globally.

🔬 Research Focus :

Dr. Saqib Qamar’s research focuses on medical image analysis, deep learning, and 3D convolutional neural networks. His doctoral work centered on brain MRI segmentation, proposing efficient and parallelized CNN architectures. He has expanded his expertise during postdoctoral stints in Sweden, exploring advanced AI techniques in healthcare imaging, neural cell recognition, and explainable AI. His work integrates datasets from MRI and CT scans with machine learning algorithms to enhance diagnostic capabilities. He is also interested in real-time data processing, parallel computing, and interpretable AI models. With an aim to bridge clinical needs with computational innovation, Dr. Qamar’s research contributes significantly to the domains of health informatics and intelligent medical systems.

📊 Publication Top Notes:

📘 Techniques of data mining in healthcare: a review
🗓️ Year: 2015 | ✍️ P Ahmad, S Qamar, SQA Rizvi | 📖 International Journal of Computer Applications | 🔢 Cited by: 174 📊

🧠 A variant form of 3D-UNet for infant brain segmentation
🗓️ Year: 2020 | ✍️ S Qamar, H Jin, R Zheng, P Ahmad, M Usama | 📰 Future Generation Computer Systems | 🔢 Cited by: 132 🧬

🦴 CT-based automatic spine segmentation using patch-based deep learning
🗓️ Year: 2023 | ✍️ SF Qadri, H Lin, L Shen, M Ahmad, S Qadri, S Khan, M Khan, SS Zareen, S Qamar | 🧾 International Journal of Intelligent Systems | 🔢 Cited by: 77 🧠

🧠 Context aware 3D UNet for brain tumor segmentation
🗓️ Year: 2020 | ✍️ P Ahmad, S Qamar, L Shen, A Saeed | 📘 MICCAI Brainlesion Workshop | 🔢 Cited by: 57 🧪

🧬 MH UNet: A multi-scale hierarchical based architecture for medical image segmentation
🗓️ Year: 2021 | ✍️ P Ahmad, H Jin, R Alroobaea, S Qamar, R Zheng, F Alnajjar, F Aboudi | 📰 IEEE Access | 🔢 Cited by: 51 🔬

🧴 Dense encoder-decoder–based architecture for skin lesion segmentation
🗓️ Year: 2021 | ✍️ S Qamar, P Ahmad, L Shen | 🧠 Cognitive Computation | 🔢 Cited by: 50 🧪

🧠 HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
🗓️ Year: 2021 | ✍️ S Qamar, P Ahmad, L Shen | 📘 Brainlesion: Glioma, MS, Stroke and TBI Workshop | 🔢 Cited by: 46 💡

Petia Genova-Kalou | cell biology | Best Researcher Award

Published on 04/07/202504/07/2025 by Engineering Scientist

Assoc. Prof. Dr. Petia Genova-Kalou | cell biology
| Best Researcher Award

Assoc. Prof. PhD Department of Virology at National Centre of Infectious and Parasitic Diseases , Bulgaria.

Dr. Petia Dinkova Genova–Kalou is an Associate Professor and Head of the National Reference Laboratory for “Cell culture, rickettsiae and oncogenic viruses” at the National Centre of Infectious and Parasitic Diseases (NCIPD), Bulgaria. With over two decades of experience in virology and molecular biology, she has led numerous research initiatives focusing on viral diagnostics, rickettsial pathogens, and oncogenic viruses. Her academic journey spans prominent institutions across Europe, including bilateral research through the SOCRATES-ERASMUS program. Renowned for her contributions to public health and infectious disease control, Dr. Genova–Kalou has held key academic and leadership roles since 2005. Her work has significantly impacted national preparedness for viral outbreaks, and she remains a leader in clinical virology research and laboratory innovation.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Dr. Petia Dinkova Genova–Kalou exemplifies excellence in biomedical research through her impactful contributions to virology, infectious diseases, and public health. As Head of the National Reference Laboratory, she has advanced diagnostics and surveillance strategies for oncogenic viruses and rickettsiae. Her interdisciplinary approach, combining molecular biology, clinical virology, and cell culture technologies, has enhanced Bulgaria’s response to emerging viral threats. She actively participates in international collaborations and trains future virologists. With sustained leadership, scientific rigor, and a commitment to translational research, Dr. Genova–Kalou’s work addresses critical global health challenges. Her consistent academic progression and robust publication record demonstrate her suitability for the Best Researcher Award, recognizing both her research achievements and her contributions to national health systems.

🎓 Education :

Dr. Genova–Kalou holds a Master’s degree in Molecular Biology with a specialization in Virology from Sofia University “St. Kliment Ohridski” (1999). She completed her Ph.D. in Biology at the same university in 2004, conducting part of her research through the SOCRATES–ERASMUS bilateral program in collaboration with the University of Ioannina, Greece. Her doctoral work provided foundational insights into viral mechanisms and interspecies pathogenicity. In 2015, she further specialized in Clinical Virology at the Medical University of Sofia, strengthening her translational research capacity between laboratory findings and clinical diagnostics. Her multi-disciplinary education in biology, virology, and medicine uniquely positions her to lead complex research projects addressing infectious and oncogenic viral threats.

🏢 Work Experience :

Dr. Genova–Kalou has served at the NCIPD since 2005, evolving through academic and administrative ranks. She began as an Assistant in the Department of Virology, leading the “Cell Cultures” lab. Between 2008 and 2012, she held leadership roles in labs specializing in herpes infections and respiratory viral diseases. By 2013, she was appointed Head of the National Reference Laboratory for Rickettsiae and Cell Cultures, and since 2019, she oversees the expanded lab for Cell Culture, Rickettsiae, and Oncogenic Viruses. Her extensive experience includes managing viral outbreak diagnostics, developing advanced cell culture models, and coordinating inter-institutional research. With a progressive academic career and demonstrated excellence in virology research, Dr. Genova–Kalou is a seasoned leader in infectious disease science.

🏅Awards and Honors

Dr. Petia Genova–Kalou has earned recognition for her scientific leadership and research excellence in virology. Her early academic achievements were supported by the SOCRATES–ERASMUS program, facilitating international collaboration with Greece. At NCIPD, she has been regularly honored with institutional commendations for outstanding laboratory innovation and contributions to national viral diagnostics programs. She has represented Bulgaria in regional and international public health initiatives and conferences. Her leadership during critical virological crises has drawn acclaim from peers and public health authorities alike. While formal national or international awards are not specifically listed, her long-standing directorship of a National Reference Laboratory and academic advancement to Associate Professor reflect high professional esteem and consistent research impact.

🔬 Research Focus :

Dr. Genova–Kalou’s research centers on virology with particular emphasis on oncogenic viruses, rickettsial pathogens, and advanced cell culture applications. Her work bridges molecular virology and clinical diagnostics, aiming to understand viral pathogenesis, host-virus interactions, and mechanisms of virus-induced oncogenesis. She also focuses on improving diagnostic protocols for emerging and re-emerging infectious agents. Her laboratory supports surveillance, early detection, and control of viruses with epidemic potential, contributing to Bulgaria’s national infectious disease response system. In recent years, she has expanded her research to include zoonotic transmission patterns and biosafety in laboratory environments. Through interdisciplinary and translational approaches, her work strengthens both scientific understanding and practical public health outcomes in infectious disease management.

📊 Publication Top Notes:

📘 FELINE BARTONELLOSIS – A MINI REVIEW
🗓️ Year: 2025 | 📚 Bulgarian Journal of Veterinary Medicine |
👩‍🔬 Genova-Kalou, P. et al.
🔗 DOI: 10.15547/bjvm.2023-0020

🧫 Detection of Helicobacter pylori in saliva based on surface plasmon resonance by binding of Lewis b (Leᵇ) blood group antigen to specific adhesin BabA
🗓️ Year: 2024 | 📚 Biotechnology and Biotechnological Equipment | ✍️ Cited by: 1
👩‍🔬 Genova-Kalou, P. et al.
🔗 DOI: 10.1080/13102818.2024.2379828

🧪 Evaluation of a model system based on bimolecular interaction of SARS-CoV-2 S- and N-structural proteins and a specific antibody by SPR assay
🗓️ Year: 2024 | 📘 AIP Conference Proceedings |
👩‍🔬 Genova-Kalou, P. et al.
🔗 DOI: 10.1063/5.0184300

🦠 First Insight into the Prevalence of Coxiella burnetii Infection among Veterinary Medicine Students in Bulgaria
🗓️ Year: 2024 | 📚 Infectious Disease Reports | ✍️ Cited by: 2
👩‍🔬 Genova-Kalou, P. et al.
🔗 DOI: 10.3390/idr16050061

🧬 Monkeypox in Bulgaria: Significance of Various Clinical Samples, Clinical Manifestation, and Molecular Detection
🗓️ Year: 2024 | 📚 Journal of Clinical Medicine | ✍️ Cited by: 3
👩‍🔬 Genova-Kalou, P. et al.
🔗 DOI: 10.3390/jcm13164856

Lykourgos Magafas | Materials Science | Best Researcher Award

Published on 30/06/202530/06/2025 by Engineering Scientist

Prof. Dr. Lykourgos Magafas | Materials Science
| Best Researcher Award

Prof. Dr . Lykourgos Magafasat at Democritus University of Thrace, Greece.

Professor Lykourgos Magafas is a distinguished physicist and academic with over three decades of experience in electrical engineering, informatics, and applied physics. He currently serves as a Professor in the Department of Informatics at Democritus University of Thrace, Greece. Holding a Ph.D. from the same university, he has held professorial roles across several prominent Greek institutions. With a profound dedication to interdisciplinary research, Professor Magafas has led numerous international and national projects in complex systems, energy, and environmental monitoring. His scholarly contributions include high-impact publications and academic program development, notably in Economic Physics. His leadership and innovation continue to influence policy and academic research, marking him as a pioneering figure in modern applied science and technology in Greece.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Professor Lykourgos Magafas is highly suitable for the Best Researcher Award due to his impactful, sustained, and interdisciplinary research contributions across physics, informatics, and engineering. With over 16 major research projects, including seven as coordinator, he has demonstrated leadership in complex system modeling, sustainable technologies, and applied informatics. His research has influenced both academic advancements and practical implementations in environmental and technological domains. His dedication to mentoring, teaching, and building international collaborations further reflects his commitment to excellence in research and academic service. Recognized for bridging theoretical and applied science, Professor Magafas stands out as a visionary researcher whose work continues to shape innovative approaches in physics-based systems and computational intelligence.

🎓 Education :

Professor Magafas began his academic journey with a degree in Physics from the Aristotle University of Thessaloniki in 1987. He later earned his Ph.D. in 1992 from the Department of Electrical and Computer Engineering at the Democritus University of Thrace. His doctoral thesis focused on “Deposition Properties and Applications of Amorphous Semiconductors,” laying the foundation for his interdisciplinary research in electronics, materials science, and computational physics. This strong educational foundation equipped him with deep analytical and experimental skills, enabling him to contribute significantly to both theoretical and applied scientific domains. His academic training spans both pure and applied sciences, making him a versatile educator and innovative researcher in physics and informatics.

🏢 Work Experience :

Professor Lykourgos Magafas has over 30 years of academic and research experience. He began his career as a Research Fellow at the Technological Institute of Kavala (1992–2005). He held academic appointments at Democritus University and Kavala Institute of Technology, progressing from Lecturer to Associate Professor. From 2010 to 2019, he was a full Professor at the Eastern Macedonia and Thrace Institute of Technology. He then served at the International Hellenic University before returning to Democritus University in 2025 as a Professor of Informatics. His diverse appointments highlight a strong record of research supervision, project leadership, and academic governance. He has also coordinated M.Sc. programs, demonstrating a strong commitment to interdisciplinary education and institutional development.

🏅Awards and Honors

Throughout his distinguished career, Professor Magafas has received multiple recognitions for his contributions to science and education. While specific named awards are not detailed in the provided record, his leadership as coordinator of major EU and national projects such as ASPIDA and GREEN PUMB demonstrates a high level of trust and acknowledgment from funding bodies and scientific institutions. He has served as coordinator for 7 out of 16 major projects, reflecting his respected standing in the research community. Additionally, his academic appointments at leading institutions and his role in curriculum development, such as the MSc in Economic Physics, highlight professional esteem and peer recognition. These accomplishments collectively attest to his reputation as a leading scientific and academic figure.

🔬 Research Focus :

Professor Magafas’ research spans applied physics, complex systems, computational intelligence, and informatics. He focuses on the integration of physics-based methods with real-world applications, particularly in environmental monitoring, energy systems, and economic modeling. His coordination of projects like ASPIDA and GREEN PUMB showcases expertise in autonomous monitoring systems and groundwater resource management. He is also active in developing algorithms for complex network analysis, with applications ranging from public health policy (e.g., COVID-19 analysis) to electrostatics and system modeling. His interdisciplinary approach blends theoretical physics with modern computational techniques, contributing to smart systems, sustainability, and decision-making frameworks. He also leads academic initiatives in Economic Physics, merging physics methodologies with financial forecasting and socio-economic dynamics.

📊 Publication Top Notes:

📊 Modeling and forecasting the COVID-19 temporal spread in Greece: An exploratory approach based on complex network defined splines – Cited by 81 – 🗓️ 2020

🔌 Electrical properties of a-SiC/c-Si (p) heterojunctions – Cited by 53 – 🗓️ 1992

🌀 Chaotic behaviour of a fourth-order autonomous electric circuit – Cited by 48 – 🗓️ 2003

🧪 Cost estimation of polymeric adsorbents – Cited by 47 – 🗓️ 2019

🦠 The effect of anti-COVID-19 policies on the evolution of the disease: A complex network analysis of the successful case of Greece – Cited by 45 – 🗓️ 2020

📡 Digital chaotic synchronized communication system – Cited by 42 – 🗓️ 2009

📘 The Papadopoulos – Cited by 28 – 🗓️ 2006

📈 The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool – Cited by 26 – 🗓️ 2021

🔬 Optical properties of α-SiC:H thin films grown by rf sputtering – Cited by 25 – 🗓️ 1994

⚡ The influence of metal work function on electrical properties of metal/a-SiC:H Schottky diodes – Cited by 23 – 🗓️ 1997

Hao Zhang | Artificial Intelligence | Best Researcher Award

Published on 27/06/202527/06/2025 by Engineering Scientist

Dr. Hao Zhang | Artificial Intelligence
| Best Researcher Award

Associate professor at Carnegie Mellon University, United States.

Hao Zhang is a Research Associate at Carnegie Mellon University (CMU), conducting postdoctoral research at the Safe AI Lab under Prof. Ding Zhao. He also serves as the Associate Director of the ETAIC Research Lab at the University of Texas at Arlington, led by Prof. Eric Tseng (NAE Member). He holds a Ph.D. from Tsinghua University, co-advised by Prof. Zhi Wang and Prof. Shengbo Eben Li. With over 35 SCI/EI publications and 17 patents, his research advances multi-agent reinforcement learning and closed-loop LLMs for real-world AI deployment in autonomous vehicles, robotics, and smart energy systems. He collaborates globally with academic and industrial leaders such as BYD, SAIC, Dongfeng Motor, and UCL, making impactful contributions to intelligent mobility.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Dr. Hao Zhang is an exceptional candidate for the Best Researcher Award due to his groundbreaking work at the intersection of artificial intelligence and real-world applications. His achievements in scalable AI for micro-mobility and autonomous vehicles have led to industrial deployments across leading automotive manufacturers. With a strong publication record, global collaborations, and 17 patents, he exemplifies innovation, impact, and leadership. He bridges theory and practice, pushing the boundaries of safe and trustworthy AI agents. His dual appointments at CMU and UTA and contribution to both academia and industry reflect his versatile excellence. Dr. Zhang’s work not only enhances technological advancement but also fosters a responsible and intelligent future for mobility and energy systems.

🎓 Education :

Hao Zhang received his Ph.D. in Mechanical Engineering from Tsinghua University, one of China’s most prestigious institutions, where he was co-advised by renowned scholars Prof. Zhi Wang and Prof. Shengbo Eben Li. During his Ph.D., he focused on reinforcement learning and its applications to intelligent vehicle systems. Prior to that, he completed his undergraduate and master’s studies with distinction, developing a strong foundation in robotics, automation, and control systems. His education also included collaborative learning experiences with industry, which laid the groundwork for his multidisciplinary approach to research. Currently, he is expanding his expertise through postdoctoral research at Carnegie Mellon University, contributing to the development of safe AI systems under the mentorship of Prof. Ding Zhao.

🏢 Work Experience :

Dr. Zhang has a rich portfolio of academic and industrial experience. As a Research Associate at Carnegie Mellon University, he works at the forefront of AI safety, while simultaneously serving as Associate Director at the ETAIC Lab at UTA. He has led or participated in five major government-funded research projects and four OEM-sponsored industry projects. His efforts have directly supported intelligent system development for companies such as BYD Auto, SAIC Motor, and Dongfeng. His engineering solutions have real-world applications in autonomous driving, energy management, and mobile robotics. His academic roles, coupled with his industrial consultancy, enable him to effectively translate research into practice. Dr. Zhang’s interdisciplinary experience sets him apart as a leader in applied AI and automation.

🏅Awards and Honors

Hao Zhang’s research excellence has earned him notable recognition across academia and industry. He has published over 35 SCI/EI-indexed journal articles, authored a technical book (ISBN: 9780443329845), and holds 17 patents related to intelligent control and autonomous systems. His work has been cited nearly 500 times, demonstrating significant influence. His research contributions have been integrated into industrial platforms at BYD and Dongfeng, marking a rare crossover between lab and large-scale deployment. Although he is still early in his postdoctoral career, his consistent innovation and impact have made him a rising leader in AI-powered mobility. His contributions position him for prestigious honors such as the Best Researcher Award and similar recognitions for scientific leadership.

🔬 Research Focus :

Dr. Zhang’s research focuses on scalable and trustworthy AI for autonomous systems and smart energy applications. His core expertise includes multi-agent reinforcement learning, closed-loop large language models (LLMs), and intelligent motion control. He develops AI algorithms that can be safely deployed in micro-mobility devices (assistive and mobile robots), connected vehicles, and distributed energy platforms. His work contributes to both algorithmic innovation and real-world adoption, ensuring AI agents are reliable, interpretable, and responsive to dynamic environments. He is particularly interested in bridging theory with practice by collaborating with top-tier institutions and OEMs. Dr. Zhang’s interdisciplinary approach merges robotics, automotive systems, control engineering, and deep learning to create adaptive, secure, and energy-efficient intelligent agents.

📊 Publication Top Notes:

📘 Impact of ammonia addition on knock resistance and combustion performance in a gasoline engine with high compression ratio
📅 Year: 2023 | 📊 Cited by: 75 | 🛠️ Energy efficiency, combustion

📘 Hierarchical energy management strategy for plug-in hybrid electric powertrain integrated with dual-mode combustion engine
📅 Year: 2021 | 📊 Cited by: 42 | ⚡ Hybrid vehicles, control systems

📘 Data-driven predictive energy consumption minimization strategy for connected plug-in hybrid electric vehicles
📅 Year: 2023 | 📊 Cited by: 40 | 📡 Connected vehicles, optimization

📘 Experimental study on combustion and emission characteristics of ethanol-gasoline blends in a high compression ratio SI engine
📅 Year: 2023 | 📊 Cited by: 36 | 🔬 Fuel science, engine performance

📘 Learning-based supervisory control of dual mode engine-based hybrid electric vehicle with reliance on multivariate trip information
📅 Year: 2022 | 📊 Cited by: 34 | 🤖 AI control, mobility systems

📘 Integrated thermal and energy management of connected hybrid electric vehicles using deep reinforcement learning
📅 Year: 2023 | 📊 Cited by: 30 | 🧠 Deep learning, hybrid energy systems

Mark Bigool | Materials Science | Best Researcher Award

Published on 24/06/202524/06/2025 by Engineering Scientist

Dr. Mark Bigool | Materials Science
| Best Researcher Award

Lecturer at University of Cape Coast, Ghana.

Dr. Mark Bigool is a dedicated academic and policy expert with a strong interdisciplinary background in public policy, management, and health systems. He currently serves as a Lecturer at the University of Cape Coast, Ghana, where he teaches graduate and undergraduate courses in international business, policy analysis, governance, and strategic management. Holding a Ph.D. in Public Policy from Korea Development Institute (KDI), Dr. Bigool blends academic rigor with practical policy expertise gained from his time as a Health Policy Analyst at Ghana’s Ministry of Health. His research and teaching emphasize evidence-based policymaking, leadership, and development planning. Dr. Bigool actively contributes to public service and academic discourse, making him a suitable candidate for the Best Researcher Award.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Dr. Mark Bigool’s multidisciplinary expertise, impactful research, and dedication to evidence-based public policy make him an ideal nominee for the Best Researcher Award. His scholarly output and teaching span governance, international business, quantitative analysis, and public health, reflecting his commitment to applied research that informs policy and benefits communities. With extensive academic training in Japan, South Korea, and Ghana, he integrates global best practices with local relevance. His work as a policy analyst and academic demonstrates excellence, innovation, and a results-driven approach. Dr. Bigool’s ability to translate research into actionable policy recommendations and train the next generation of leaders exemplifies the values of this award—contribution to knowledge, societal impact, and academic integrity.

🎓 Education :

Dr. Mark Bigool has an impressive academic background across multiple continents. He earned his Ph.D. in Public Policy from the Korea Development Institute (KDI) School of Public Policy and Management in South Korea (2018–2020). He holds an M.A. in Public Management and Policy Analysis from the International University of Japan (2013–2015) and a BSc in Nursing from the University for Development Studies, Ghana (2009–2011). He also obtained a Diploma in Nursing from the Presbyterian Nurses Training College, Ghana (2002–2006). Dr. Bigool further enhanced his expertise through short professional trainings, including Health Systems Planning at Tokai University, Japan (2017), and a Diploma in Nursing from the University of Ghana (2008–2009). His education combines policy, management, and healthcare perspectives.

🏢 Work Experience :

Dr. Mark Bigool currently lectures at the University of Cape Coast, where he teaches courses on public policy, business strategy, and governance. Previously, he served as a Health Policy Analyst at Ghana’s Ministry of Health (2021), where he led policy reviews, coordinated national disease burden studies, and contributed to health economics planning. He also held a position as an Assistant Lecturer at KDI School of Public Policy and Management in South Korea (2019), teaching quantitative research methods. His teaching portfolio includes both postgraduate and undergraduate levels, with topics ranging from international political economy to strategic management. Dr. Bigool’s experience bridges academia and government policy, reinforcing his role as a dynamic researcher and policy influencer.

🏅Awards and Honors

While specific awards are not listed in the provided details, Dr. Mark Bigool’s academic trajectory and professional appointments reflect a strong record of merit and recognition. His acceptance into prestigious institutions such as the KDI School in South Korea and the International University of Japan demonstrates competitive academic excellence. Serving as a lecturer at top universities and his selection as a Health Policy Analyst at the Ministry of Health further underscore his competence and professional recognition. His role as coordinator for the national burden of disease study in Ghana and as Health Economics Coordinator also reflect trust and honor in high-impact national roles. These milestones position him as a high-achieving academic deserving of research-based accolades.

🔬 Research Focus :

Dr. Mark Bigool’s research centers on public policy, health systems, and governance, with a strong emphasis on evidence-based decision-making. His work intersects public management, international political economy, and health policy, offering valuable insights for both academia and national development. He is particularly focused on evaluating policy frameworks, analyzing global health initiatives, and recommending locally adaptable strategies. His research approach employs both qualitative and quantitative methods, reflected in his teaching of data analysis and policy evaluation. As coordinator for health-related studies in Ghana, he has helped shape critical national health strategies. His current work includes exploring the impact of governance structures on service delivery, bridging the gap between policy theory and practice for sustainable development.

📊 Publication Top Notes:

📘 Effects of Free Maternal Healthcare on Stunting in Children Under Five Years of Age
Year: 2024 | Cited by: Crossref 📊 | DOI: 10.1111/dpr.12771

👶🍲 Impact of Community Nutrition Project on Malnutrition in Children Under Five: A Case of SPRING Ghana Project
Year: 2024 | Cited by: Crossref 📊 | DOI: 10.4081/hls.2024.12272

💉👧 Effects of the Community-Based Health Planning and Services on Anemia and Acute Malnutrition Amongst Under-Fives in Ghana: A Comparative Study
Year: 2023 | Cited by: Crossref 📊 | DOI: 10.4081/jphia.2023.2169

🏥🤰 Effect of Healthcare Quality Initiative on Maternal Healthcare Service Utilization: A Case Study of the SPRING Ghana Project
Year: 2022 | Cited by: Crossref 📊 | DOI: 10.4081/jphia.2022.2183

Payéne Lamboni | Environmental Engineering | Best Researcher Award

Published on 21/06/202524/06/2025 by Engineering Scientist

Mr. Payéne Lamboni | Environmental Engineering
| Best Researcher Award

PhD student at University of Lomé, Togo.

Payéne LAMBONI is a PhD student in Plant Biology and Ecology at the University of Lomé, Togo. With top honors in both his Bachelor’s and Master’s degrees in plant sciences, he has combined academic excellence with practical expertise in GIS, biodiversity conservation, and environmental consulting. He is the lead contributor to BioReMa-Togo, Togo’s first regional biodiversity monitoring platform, which supports ecological data-driven planning. Payéne also teaches biology at the high school level while managing multiple research projects on urban ecology and wetland conservation. His multidisciplinary engagement—spanning remote sensing, urban ecology, and sustainable development—positions him as a forward-thinking researcher, committed to using science for societal and environmental benefit.

🌍 Professional Profile: