Author: Engineering Scientist

🏆 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:

🏆 Suitability for the Best Researcher Award :

Payéne LAMBONI is a highly deserving candidate for the Best Researcher Award due to his pioneering work in biodiversity monitoring and urban ecological planning in Togo. As the initiator of BioReMa-Togo, he developed the nation’s first system for tracking plant and animal biodiversity—enhancing decision-making and conservation policy. He combines academic rigor with social impact, working closely with local governments and agencies on urban planning and ecological assessments. His interdisciplinary work, spanning plant biology, GIS, and remote sensing, demonstrates innovation, relevance, and practical utility. With early-career momentum, strong publication record, and ongoing national-scale projects, Payéne exemplifies the values of research excellence, innovation, and community engagement the award seeks to honor.

🎓 Education :

Payéne LAMBONI completed his Bachelor’s degree in Plant Biology in 2019 and a Master’s degree in Tropical Plant Biodiversity and Ecosystems in 2022 at the University of Lomé, graduating as valedictorian in both programs. His education has been marked by academic excellence and interdisciplinary focus, integrating ecological sciences with technological tools like GIS. Currently, he is pursuing a Ph.D. in Plant Biology and Ecology, with research focused on conservation and modeling of forest and agroforestry resources in coastal wetlands. Demonstrating intellectual curiosity beyond his core field, he has also commenced a Bachelor’s program in Physics to strengthen his analytical and environmental modeling capabilities—highlighting a proactive commitment to comprehensive scientific understanding and innovation.

🏢 Work Experience :

Payéne has accrued diverse academic and field experience. Since 2022, he has worked as a GIS and cartography expert on communal development planning, supporting local governments with spatial data for ecological assessments. He has served as an environmental consultant, conducting impact studies and promoting sustainable resource use. As a high school biology teacher, he bridges academic theory with public education. His central role in BioReMa-Togo positions him at the heart of national biodiversity data infrastructure. He is also a contributor to the PIPEDU project, focused on integrating ecological planning in urban growth. This mix of academic research, policy support, and on-ground environmental work underscores his applied experience and relevance across disciplines and sectors.

🏅Awards and Honors

Valedictorian (Top of Class): Awarded for both his Bachelor’s and Master’s degrees in Plant Biology and Tropical Plant Biodiversity, demonstrating exceptional academic performance.Project Lead: Principal developer of BioReMa-Togo, a nationally significant pilot system recognized for pioneering biodiversity monitoring in Togo’s Maritime Region.Government and Institutional Recognition: His consultancy roles in environmental impact assessment and communal development have garnered recognition from public agencies for their contribution to sustainable urban planning.Published Research in High-Impact Journal: First-author publication in the peer-reviewed journal Conservation, detailing urbanization impacts on wetland ecosystems.
While early in his academic journey, Payéne’s accolades highlight his leadership, innovation, and excellence in research and practical environmental contributions.

🔬 Research Focus :

Payéne LAMBONI’s research centers on biodiversity conservation, wetland ecology, and ecological planning integration within urban systems. His PhD work involves conservation modeling of forest and agroforestry resources in coastal watersheds, using advanced tools like GIS and remote sensing. His flagship project, BioReMa-Togo, enables dynamic biodiversity monitoring and supports environmental decision-making. He also investigates the ecological impacts of urbanization on wetland ecosystems, blending field surveys with spatial data analytics. His focus reflects a systems-thinking approach, connecting biological research with planning policy and sustainable development. Through projects like PIPEDU, he actively contributes to ecological integration in city planning. Overall, his work fosters resilience, habitat protection, and science-based policy at regional and national scales.

📊 Publication Top Notes:

📚 Urbanization Impacts on Wetland Ecosystems in Northern Municipalities of Lomé (Togo): A Study of Flora, Urban Landscape Dynamics and Environmental Risks 🔍 Year: 2025 | Conservation journal article | DOI: 10.3390/conservation5030028 | Cited by: 0+ | Authors: Payéne Lamboni; K. Gnamederama; F. Fousseni; K. Madjouma; Y.G. Pikabe; V. Graw; E. Bohnett; M. Dourma; W. Kperkouma; B. Komlan
📚 Un système pilote de suivi régional de la biodiversité au Togo dénommé BioReMa‑Togo (Système de suivi de la biodiversité région Maritime) 🔍 Year: 2024 | Revue Écosystèmes et Paysages journal article | DOI: 10.59384/recopays.tg4204 | Cited by: 0+ | Contributors: Folega Fousseni; Payéne Lamboni; Bimare Kombate; Wouyo Atakpama; Kanda Madjouma; Marra Dourma; Wala Kpérkouma; Batawila Komlan

Bowen Duan | Civil Engineering | Best Researcher Award

Published on 19/06/202521/06/2025 by Engineering Scientist

Mr. Bowen Duan | Civil Engineering
| Best Researcher Award

PhD Candidate at Harbin Institute of Technology, China.

Bowen Duan is a Ph.D. candidate in Civil Engineering at the School of Environment, Harbin Institute of Technology, under the mentorship of Prof. Jinliang Gao. His research is centered on water distribution networks, particularly the optimization of modeling techniques and advanced leakage detection methodologies. Through integrating data-driven methods and optimization algorithms, he aims to address critical urban water management challenges such as low modeling precision and complex leakage identification. His research output includes journal and international conference publications that reflect both scientific rigor and real-world application. Duan’s recent work has been featured in Energies, emphasizing the relevance of his research to pressing environmental infrastructure issues. He demonstrates a promising trajectory as a future leader in sustainable water management.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Bowen Duan stands out as a highly suitable candidate for the Best Researcher Award due to his impactful research in optimizing water distribution networks—an area critical to sustainable urban development. His application of advanced algorithms for leakage detection significantly improves operational efficiency in real-world water systems. Publishing in top-tier journals and presenting at international conferences, he has shown remarkable academic maturity and innovation. His contributions bridge theoretical advancements and practical utility, reflecting both depth and foresight. Despite being at an early stage in his career, his interdisciplinary approach, commitment to solving complex engineering problems, and drive for impactful outcomes underscore his potential to contribute meaningfully to environmental engineering and resource sustainability on a global scale.

🎓 Education :

Bowen Duan is currently pursuing a Ph.D. in Civil Engineering at the School of Environment, Harbin Institute of Technology (HIT), one of China’s leading institutions for environmental and engineering sciences. Under the guidance of Prof. Jinliang Gao, his academic focus includes water system modeling, hydraulic simulations, and smart detection technologies. His graduate training emphasizes multidisciplinary learning, combining civil engineering fundamentals with advanced data analytics, systems optimization, and environmental sustainability principles. He has also engaged in national and international academic discourse through conferences and collaborative work. Bowen’s educational background demonstrates strong technical grounding, critical thinking, and a forward-looking perspective essential for tackling complex challenges in water infrastructure and management systems.

🏢 Work Experience :

Bowen Duan has acquired valuable research experience through active engagement in multiple water management projects during his Ph.D. studies at Harbin Institute of Technology. His work involves hydraulic modeling, smart sensing, leakage detection, and intervention strategy analysis in water distribution networks. He has published in peer-reviewed journals and presented at renowned conferences such as the Computing and Control for the Water Industry Conference (CCWI 2023, UK), indicating early international exposure. His ability to combine field data with computational techniques highlights practical problem-solving skills. Bowen is also familiar with simulation software, data acquisition systems, and algorithmic design. His research is informed by both theoretical inquiry and applied engineering, making him a capable young scholar with a growing industry-relevant portfolio.

🔹 Awards and Honors

While specific awards and honors are yet to be disclosed, Bowen Duan has gained notable academic recognition through conference acceptances and journal publications, including in the international journal Energies. His participation in the prestigious 19th Computing and Control for the Water Industry (CCWI) Conference in the UK in 2023 reflects peer recognition of his research relevance and quality. These achievements in a competitive academic environment indicate his rising status in the field of environmental and civil engineering. As a doctoral researcher, he continues to build a record of excellence that could soon be accompanied by formal honors, research grants, or innovation awards. His current trajectory and impactful work strongly suggest a promising candidate for future accolades.

🔬 Research Focus :

Bowen Duan’s research centers on optimizing water distribution networks by enhancing hydraulic modeling precision and leakage detection. His innovative approach combines traditional civil engineering knowledge with modern computational tools—such as data-driven optimization, spatial pressure correlation, and real-time monitoring—to develop more responsive and accurate detection systems. His work tackles key problems including system complexity, modeling inefficiencies, and slow leak identification in urban water supply systems. He has investigated behavioral influences on water-saving in public buildings and contributed insights on psychological interventions. Through international conference presentations and journal articles, Bowen advances both theoretical frameworks and practical applications that enhance urban resilience, sustainability, and water conservation efforts. His contributions position him at the intersection of engineering, data science, and sustainability.

📊 Publication Top Notes:

📘 Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges
📅 Year: 2025 | 🧪 Journal: Energies | ✍️ Authors: Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu
🔗 DOI: 10.3390/en18112877 | 🧷 Publisher: MDPI

📝 Evaluating the Dynamic Psychological and Behavioral Changes of Water-Saving in Public Buildings Under Effective Interventions
📅 Year: 2024 | 📄 Type: Preprint | ✍️ Authors: Bowen Duan, Jinliang Gao, Wenyan Wu, Wenjuan Guo, Jinghui Wang, Shanshan Zhang, Chao Wen, Yuan Tian, Chang Shen
🔗 DOI: 10.22541/essoar.171535804.44094305/v1 | 🧷 Platform: ESSOAr

Songtao Yu | Civil Engineering | Best Researcher Award

Published on 19/06/202519/06/2025 by Engineering Scientist

Assist. Prof. Dr. Songtao Yu | Civil Engineering
| Best Researcher Award

Department Head at Jiangxi university of sicence and technology, China.

Dr. Yu Songtao is the Dean of the Department of Emergency Management at the School of Emergency Management and Safety Engineering. He holds a Doctorate in Engineering and serves as a lecturer. His research centers on disaster prevention, mitigation, and emergency management. With experience leading and contributing to five national and ministerial-level research projects and several corporate collaborations, he has made significant academic and practical contributions. Dr. Yu serves as a director of the National Emergency Technology and Management Undergraduate Professional Colleges Alliance and is an active member of the Chinese Society for Rock Mechanics and Engineering. As a reviewer for top journals and the author of a monograph and over 20 academic papers, he plays a vital role in advancing emergency science.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Dr. Yu Songtao exemplifies excellence in research through his leadership in disaster prevention and emergency management. He has spearheaded multiple national and industry-level projects and has an impressive record of academic output, including a monograph and 20+ papers in recognized journals. His contributions extend beyond academia, influencing policy, education, and professional practice. As a reviewer for prominent international journals and a committee member in key national alliances, Dr. Yu is deeply embedded in the advancement of emergency science. His interdisciplinary approach, practical innovations, and dedication to educational reform reflect both scholarly impact and societal benefit, making him a highly suitable candidate for the Best Researcher Award in the fields of safety engineering and emergency management.

🎓 Education :

Dr. Yu Songtao earned his Doctorate in Engineering, specializing in safety science and emergency management. His academic background combines technical proficiency with an interdisciplinary understanding of disaster risk reduction, public safety systems, and emergency response frameworks. He has also undergone professional development in educational innovation, further enhancing his teaching capabilities. His formal training enables him to integrate engineering principles with real-world emergency management scenarios, providing both theoretical and applied knowledge. Through continuous academic engagement, he has built a foundation that supports both rigorous research and educational leadership in safety and emergency management. His academic journey is marked by a commitment to enhancing public resilience through informed engineering education and disaster risk research.

🏢 Work Experience :

Dr. Yu has held key roles in both academic and applied research contexts. As Dean and Lecturer, he leads the Department of Emergency Management, shaping curricula and research agendas. He has led or co-led five high-impact national and ministerial research projects and partnered with industry on three technical initiatives. Additionally, he has overseen three educational reform programs aimed at modernizing emergency management pedagogy. He contributes actively as a director and committee member in national professional alliances related to emergency response and slope stability. His role as a journal reviewer and frequent academic contributor reflects his status as a trusted expert in the field. These cumulative experiences position him as an authority in integrating theory and practice in emergency engineering.

🔹 Awards and Honors

Dr. Yu Songtao has been recognized for his outstanding service and research contributions in emergency management and safety engineering. While specific named awards are not detailed, his appointment as Director of the National Emergency Technology and Management Undergraduate Professional Colleges Alliance and his committee membership in the Chinese Society for Rock Mechanics and Engineering reflect significant peer recognition. His role as a reviewer for high-impact journals such as Construction and Building Materials, Sustainability, and Minerals further underscores his credibility. Additionally, his leadership in educational reform projects indicates institutional acknowledgment of his academic excellence and commitment to innovation. These distinctions collectively demonstrate his value to both scholarly and professional communities in disaster and emergency management.

🔬 Research Focus :

Dr. Yu Songtao’s research focuses on disaster prevention and mitigation, slope stability, and emergency management systems. He explores how engineering principles can be applied to enhance disaster resilience and emergency preparedness, with particular emphasis on risk evaluation, structural safety, and real-time response mechanisms. His work often bridges academic research with field application, addressing challenges such as landslide risk in open-pit mining and urban emergency planning. He is also engaged in educational research to strengthen curricula for training future professionals in emergency response. Through interdisciplinary collaboration and field-oriented solutions, his research significantly contributes to safer infrastructure, more resilient communities, and better-informed emergency strategies.

📊 Publication Top Notes:

🧱 Evolution of Pore Structure and Mechanical Characteristics of Red Sandstone Under Drying–Wetting Cycles — Authors: Deng H., Zhou S., Yu S., Liu Y., Xu J. | 📅 Year: 2025 | 📰 Minerals | 📈 Cited by: 0 🟢 researchgate.net+15mdpi.com+15mdpi.com+15

🏗️ Pore structure and mechanical characteristics of CRS mortar based on NMR and fractal theory — Authors: Jiang Z., Cai G., Liu Y., Wang P., Yu S. | 📅 Year: 2024 | 📰 Construction and Building Materials | 📈 Cited by: 4 🟢 researchgate.net+10colab.ws+10mdpi.com+10

Govind Kumar Mishra | Electronics Engineering | Best Researcher Award

Published on 18/06/2025 by Engineering Scientist

Mr. Govind Kumar Mishra | Electronics Engineering
| Best Researcher Award

PhD Scholar at Indian Institute of Technology, Roorkee, India.

Govind Kumar Mishra is a dedicated researcher in RF and Microwave Engineering, currently pursuing his Ph.D. at IIT Roorkee. With a strong foundation in electronics and communication, he specializes in Substrate Integrated Waveguide (SIW) filter design for 5G and microwave applications. He has published multiple research papers and actively works on the development and simulation of advanced microwave devices using software such as HFSS, CST, and ADS. Govind has industry exposure from Sky Voice Telecom and academic experience as a GATE/IES tutor. He is a multi-time GATE qualifier and has received fellowships during both M.Tech and Ph.D. His commitment to high-frequency device innovation and his technical acumen make him a rising expert in his domain.

🌍 Professional Profile:

🏆 Suitability for the Best Researcher Award :

Govind Kumar Mishra is highly suitable for the Best Researcher Award due to his focused contributions in RF and Microwave device development, especially in SIW filter design for emerging 5G systems. His ongoing research at IIT Roorkee reflects originality, technical depth, and strong relevance to next-generation wireless technology. He has consistently demonstrated excellence through GATE qualifications, academic fellowships, and advanced simulations in real-world applications. His interdisciplinary expertise combines theory, simulation, and practical considerations in microwave filter technology. Govind’s proactive approach, supported by recognized academic achievements and innovative solutions for modern communication systems, makes him a strong candidate for this prestigious recognition.

🎓 Education :

Govind holds a B.Tech. in Electronics & Communication (2011) from SIT Mathura, an M.Tech. in Electronics Design & Technology (2018) from NIELIT Gorakhpur with honors, and is currently pursuing a Ph.D. in RF and Microwave Engineering at IIT Roorkee (since 2019). His academic performance is consistently commendable, with a 9 CGPA in Ph.D. coursework and 8.56 CGPA in M.Tech. His research focus spans simulation and modeling of microwave filters using cutting-edge tools like HFSS, CST, ADS, and MATLAB. His doctoral thesis involves designing SIW Band Pass Filters tailored for 5G system applications. His formal education, supported by deep software expertise and rigorous project work, provides a solid foundation for innovative contributions to the electronics and communication field.

🏢 Work Experience :

Govind Kumar Mishra brings both industrial and academic experience. He began his career with Sky Voice Telecom Pvt. Ltd. in New Delhi (2011–2012), gaining practical exposure to communication systems. From 2013–2016, he engaged in academic tutoring, mentoring students for GATE and IES examinations. His current Ph.D. research at IIT Roorkee has involved extensive hands-on work with high-frequency simulations, device modeling, and real-world filter implementation. His experience includes designing both single and dual-band microwave filters using SIW technology. With a keen ability to model devices in practical conditions and synchronize various tools and methods, Govind’s professional experience is a well-rounded blend of research depth, simulation skill, and applied electronics engineering practice.

🔹 Awards and Honors

Govind Kumar Mishra is a recipient of multiple prestigious accolades. He has qualified the GATE exam in Electronics Engineering four times (2013, 2016, 2017, 2019), a testament to his strong technical foundation. He earned M.Tech. and Ph.D. scholarships supported by GATE and institutional funding. In 2008, he achieved 1st place in the Truss Busting Model Presentation competition at Hindustan College of Science & Technology, highlighting his early promise in engineering design. His consistent academic distinction, recognized through honors and merit-based fellowships, underlines his capability and dedication to advancing the field of microwave technology. These honors reflect both his theoretical knowledge and hands-on technical competence in the research and design of electronic systems.

🔬 Research Focus :

Govind Kumar Mishra’s research centers on the design, simulation, and development of microwave filters and devices using Substrate Integrated Waveguide (SIW) technology. His Ph.D. work addresses SIW Band Pass Filter development for transmitter and receiver ends in 5G systems. He leverages tools like HFSS, CST, ADS, and MATLAB for high-frequency structure simulation, performance optimization, and modeling. His work aims to reduce the size and weight of microwave devices while improving reliability and fabrication ease. He is also exploring novel dual-band and single-band filter structures suitable for modern communication demands. His interest spans electromagnetic field theory, antenna systems, and high-frequency communication technologies, contributing to the rapidly growing need for efficient spectrum utilization in IoT and wireless systems.

📊 Publication Top Notes:

📘 A Novel SIW Bandpass Filter Design by Diagonal Coupling Approach on Single and Multilayer Model
Year: 2025 | Cited by: – | 🛠️📡

📘 A Single‑Layer Dual‑Band SIW Filter on a Mixed Coupling Structure for 5G Applications
Year: 2025 | Cited by: – | 📶🚀

📘 Novel Coupling Design For Substrate Integrated Waveguide Bandpass Filter
Year: 2024 | Cited by: 2 | ✅📡

📘 Substrate Integrated Waveguide Filter Based On Inductive Post Design
Year: 2023 | Cited by: 2 | 🔧📐

📘 Design of Dual Band Substrate Integrated Waveguide Filter for Radar Application in Ku Band
Year: 2018 | Cited by: 2 | 📻🎯

📘 SIWG Filter at 17.24 GHz with RT Duroid 5880 Substrate for Wireless Applications
Year: 2018 | Cited by: 2 | 📡📶

Panagiota Papadopoulou | Materials Science | Best Researcher Award

Published on 18/06/202518/06/2025 by Engineering Scientist

Mrs. Panagiota Papadopoulou | Materials Science
| Best Researcher Award

Assosiate Professor at Democritus University of Thrace, Greece.

Dr. Panagiota Papadopoulou is an accomplished physicist and Assistant Professor at the Department of Electrical Engineering, Eastern Macedonia and Thrace Institute of Technology, Greece. Born in Drama, Greece, in 1970, she holds a Ph.D. in Microelectronics and specializes in semiconductor device design, simulation, and fabrication. With over two decades of academic and scientific contributions, Dr. Papadopoulou has taught a wide range of subjects from electronics to electromagnetics. Her research focuses on microelectronic and optoelectronic devices. She is widely respected for her expertise in photodiodes and semiconductor modeling. Known for her dedication to education and research, she actively mentors students and contributes to scientific development in microelectronics and applied physics, making her a valuable asset to the academic community.

🌍 Professional Profile: