Assist. Prof. Dr. sumaira Javaid | Strutural biology | Best Researcher Award

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Assist. Prof. Dr. sumaira Javaid | Strutural biology | Best Researcher Award

Assist. Prof. Dr sumaira Javaid, Dr. Panjwani Center for Molecular Medicine and Drug Research, Pakistan

Sumaira Javaid is an esteemed scientist specializing in bio-organic chemistry, molecular, and structural biology. With over eight years of post-Ph.D. experience, she has built an impactful career in academia and research. Dr. Javaid completed her Ph.D. at the H.E.J. Research Institute of Chemistry, University of Karachi, where she focused on chemical compounds with potential anti-angiogenic, antioxidant, and myelin repair properties. She furthered her studies as a post-doctoral fellow at the Institut de Pharmacologie et de Biologie Structurale (IPBS) in France. Dr. Javaid has published 17 research papers, with a combined impact factor of 77 and an h-index of 10. Her contributions to the scientific community have garnered 358 citations. As an assistant professor at the University of Karachi, she continues to guide students and conduct groundbreaking research. Her work is recognized through prestigious awards, including post-doctoral fellowships and scholarships.

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Summary of Suitability for the Research for Best Researcher Award 

Dr. Sumaira Javaid is a strong candidate for the Research for Best Researcher Award. Her international exposure, innovative research, significant scholarly contributions, and mentorship abilities highlight her suitability for this award. Her work addresses critical issues in structural biology and enzyme inhibition, contributing to advancements in health and disease management, making her a well-rounded and deserving candidate.

🎓  Education 

Sumaira Javaid’s academic journey is marked by excellence in biochemistry and chemistry. She earned her Ph.D. in Chemistry from the H.E.J. Research Institute of Chemistry at the University of Karachi in 2016. Her dissertation titled “Screening of Chemical Compounds (Secondary Metabolites and Heterocyclic Synthetic Compounds) for Their Anti-Angiogenic, Anti-Oxidant, and CNS Myelin Repair Activities” demonstrated her expertise in bio-organic chemistry. Sumaira also holds an M.Sc. in Biochemistry from the University of Karachi, where she secured second position in her department. Her master’s thesis explored the behavioral effects of starvation and restricted feeding in rats. Additionally, she completed her B.Sc. (Hons) with majors in Biochemistry, Chemistry, and Microbiology from the same institution. Sumaira’s passion for research led her to pursue a post-doctoral fellowship at the Institut de Pharmacologie et de Biologie Structurale in Toulouse, France, focusing on advanced biopharmacology and structural biology from 2017 to 2018.

💼  Experience 

Sumaira Javaid brings over a decade of diverse experience in academia and research. Since September 2019, she has been an Assistant Professor at the Dr. Punjwani Center for Molecular Medicine and Drug Research, University of Karachi. She previously served as a Research Officer at the same institution and completed a one-year post-doctoral fellowship at the Institut de Pharmacologie et de Biologie Structurale (IPBS), France. Her international exposure includes a visiting scientist role at Université Paul Sabatier in Toulouse and research fellowships at renowned institutes like the National Institute for Health and Medical Research, Paris. At the H.E.J. Research Institute, University of Karachi, she was a Senior Research Fellow and later a Junior Research Fellow, contributing to advanced studies in enzyme inhibition, biochemistry, and molecular research. Sumaira has also supervised several M.Phil. and Ph.D. students, guiding their research in cancer treatment, neurobiology, and microbial enzyme inhibition.

 🏅 Awards and Honors 

Sumaira Javaid has been recognized for her outstanding contributions to research with several prestigious awards. She was awarded a Post-Doctoral Fellowship in France (2017-2018) under the Faculty Development Program, providing her the opportunity to further her studies at the Institut de Pharmacologie et de Biologie Structurale (IPBS). In 2012, she received the H.E.C. & French Embassy Split PhD and Post-Doctoral Fellowship Program award, which supported her advanced research in France and Pakistan. Throughout her academic career, Sumaira has also been acknowledged for her academic merit, having received a Merit-cum-Need Scholarship in 2005 during her undergraduate studies. Her work has been consistently recognized for its scientific impact, and she continues to be a leading figure in molecular and structural biology research. These accolades are a testament to her dedication, excellence, and influence in the field of bio-organic chemistry.

🌍  Research Focus 

Sumaira Javaid’s research focuses on bio-organic chemistry and molecular biology, with particular expertise in enzyme inhibition, biopharmaceuticals, and structural biology. Her Ph.D. research centered on exploring the anti-angiogenic, antioxidant, and myelin repair properties of secondary metabolites and synthetic compounds. She has a strong background in biomolecular NMR spectroscopy, protein purification, and enzyme inhibition assays. Sumaira’s research seeks to understand complex biochemical pathways, especially in the context of cancer treatment, neurodegenerative diseases, and infectious diseases. Her recent work has included biophysical methods to identify enzyme inhibitors that have potential therapeutic applications, particularly in treating neurological diseases and microbial infections. She has also contributed significantly to cell culturing techniques, immunohistochemistry, and immunocytochemistry. Sumaira’s collaborative projects with international institutions have expanded her research into structural biology and pharmacology, enhancing her contributions to drug discovery and molecular medicine.

 📖 Publication Top Notes

  • Title: Unexpected central role of the androgen receptor in the spontaneous regeneration of myelin

    Cited by: 122

  • Title: Zwitterionic pyrimidinium adducts as antioxidants with therapeutic potential as nitric oxide scavenger

    Cited by: 60

  • Title: Synthesis, molecular docking and xanthine oxidase inhibitory activity of 5-aryl-1H-tetrazoles

    Cited by: 35

  • Title: Synthesis and urease inhibitory activities of benzophenone semicarbazones/thiosemicarbazones

    Cited by: 27

  • Title: 2-Arylquinazolin-4(3H)-ones: A novel class of thymidine phosphorylase inhibitors

    Cited by: 16

 

Mr. Md. Kawsar Ahmed | Engineering | Best Researcher Award

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Mr. Md. Kawsar Ahmed | Engineering | Best Researcher Award

Mr. Md. Kawsar Ahmed, Daffodil International University, Bangladesh

Md. Kawsar Ahmed is an innovative electrical engineer from Bangladesh, specializing in antenna design, 5G/6G technology, and wireless communication. He completed his B.Sc. in Electrical and Electronics Engineering at Daffodil International University (DIU) with a CGPA of 3.50, showcasing a passion for advanced technologies and modern communication systems. His expertise has led him to work on groundbreaking research projects under esteemed international mentors at Universiti Teknologi PETRONAS, Malaysia. Md. Kawsar’s focus on millimeter-wave applications for next-gen communication systems reflects his visionary mindset in the ever-evolving tech landscape. With strong leadership in event management and extracurricular activities, including his role as Secretary of the DIU Voluntary Service Club, Kawsar demonstrates a commitment to both his academic and social responsibilities. His career objective is to apply his skills and creativity in modern technology, pushing the boundaries of electrical engineering for a more connected future.

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Summary of Suitability for the ‘Research for Best Researcher Award’

Md Kawsar Ahmed demonstrates a well-rounded profile of academic excellence, research potential, and extracurricular involvement. His research contributions in antenna design and wireless communication, coupled with his technical skills, leadership, and international collaborations, make him a suitable candidate for the ‘Research for Best Researcher Award.’ His growing body of work and dedication to technological advancements in 5G and 6G demonstrate significant potential for future contributions to the field.

 🎓Education 

Md. Kawsar Ahmed has a solid educational foundation in Electrical and Electronics Engineering. He graduated with a B.Sc. from Daffodil International University, Dhaka, Bangladesh, earning a CGPA of 3.50 out of 4, from 2020 to 2023. Prior to that, he completed his Higher Secondary Certificate (HSC) from Agricultural University College, Mymensingh, in the Science stream with a CGPA of 3.78 out of 5, in 2019. He also holds a Secondary School Certificate (SSC) from Pacchim Jaynagor Secondary School, Bhola, Barisal, securing a CGPA of 4.82 out of 5 in 2017. Kawsar’s education has been focused on science and technology from the beginning, paving the way for his success in antenna design, wireless communication, and innovative research. His drive for academic excellence has equipped him with practical and theoretical knowledge essential for addressing complex engineering challenges in today’s technology-driven world.

 💼 Experience 

Md. Kawsar Ahmed’s experience is centered on research and academic involvement in the field of electrical engineering. He began as a Student Associate at Daffodil Central Transport Management in 2022, continuing his journey as a Researcher under the mentorship of Dr. Md. Ashraful and Dr. Samir Salem Al-Bawri from Universiti Teknologi PETRONAS, Malaysia, in early 2023. His work focuses on advanced research in antenna design for 5G/6G applications and artificial neural network (ANN)-based performance estimations. His collaboration with renowned researchers has strengthened his expertise in designing highly efficient multi-port antennas for next-gen communications. Additionally, he contributed as a Student Associate in the Office of the Director of Students’ Affairs at DIU from 2022 to 2024. His commitment to both technical research and administrative work demonstrates his versatility and dedication to achieving excellence in his professional career.

 🏅Awards and Honors 

Md. Kawsar Ahmed has received numerous awards and honors that reflect his diverse talents and contributions. He participated in the 7th National Cub Camporee (2011) and the ICT Work Camp (2018) organized by Bangladesh Scouts, demonstrating his early leadership qualities. He has been part of the “International Astronomical Search Collaboration” project by NASA (2021), showcasing his academic prowess in science. Kawsar’s technical training includes the Industrial Training by BREB and a specialized Unique Automation Training. He also played key organizational roles at Daffodil International University, including events such as the Duke of Edinburgh International Award Conference, Parents’ Day, and International Mother Language Day. His participation in disaster response exercises and field training further highlights his diverse skill set. Through these achievements, Kawsar has proven his ability to excel not only in academics but also in extracurricular activities, event management, and community involvement.

 🌍 Research Focus 

Md. Kawsar Ahmed’s research focus revolves around the development of advanced antenna designs for next-generation communication technologies, including 5G and 6G millimeter-wave applications. His work includes performance estimation of slotted inverted F-shaped tri-band antennas for satellite and 5G/mm-wave communications using artificial neural networks (ANN). His research addresses the growing demand for compact and efficient multi-port MIMO antennas, which are crucial for high-frequency communication systems. By leveraging machine learning techniques, he aims to improve the directivity prediction of these systems, enhancing overall performance in real-world applications. His research extends to optimizing antenna structures for various applications in wireless communication, pushing the boundaries of innovation in this rapidly evolving field. Kawsar’s contributions to the field are not only academically significant but also have the potential to make practical impacts in telecommunications, helping industries transition to more advanced and efficient communication technologies.

📖 Publications Top Notes

ANN-based performance estimation of a slotted inverted F-shaped tri-band antenna for satellite/mm-wave 5G application
  • Citations: 1

Dr. Soheila Kookalani | Construction | Best Researcher Award

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Dr. Soheila Kookalani | Construction | Best Researcher Award

Dr. Soheila Kookalani, Cambridge University, United Kingdom

Soheila Kookalani is a distinguished Research Associate at the University of Cambridge, specializing in Civil and Structural Engineering. She has a profound expertise in steel reuse, the circular economy, life-cycle assessment, and the integration of digital twin technologies in construction. Her research focuses on leveraging artificial intelligence and machine learning to optimize structural designs, promoting sustainability in construction. Soheila holds a Ph.D. in Civil and Structural Engineering from Shanghai Jiao Tong University, where she pioneered research on GFRP elastic gridshells. With a commitment to environmental responsibility, she continuously explores innovative ways to integrate sustainable practices into building designs, aiming to revolutionize construction methodologies. She has numerous publications in leading journals, demonstrating her contribution to both academia and the industry. Her work emphasizes sustainable engineering practices that align with modern technological advancements, particularly in the realm of structural optimization and reuse strategies.

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Summary of Suitability for the Research for Best Researcher Award

Soheila Kookalani’s innovative approach to structural engineering, coupled with her strong commitment to sustainability and integration of advanced technologies, positions her as a highly suitable candidate for the Research for Best Researcher Award. Her work has significant implications for the future of sustainable construction, making her a valuable asset to both academia and industry.

🎓 Education 

Soheila Kookalani pursued her academic journey with a solid foundation in architectural and civil engineering. She earned her Bachelor of Science in Architectural Engineering from Azad University in Iran, where her thesis explored hybrid architecture in cinematic arts. She then advanced her studies with a Master of Science in Civil and Structural Engineering from Hohai University, China, focusing on the seismic performance of hybrid structures in high-rise buildings. Her academic journey culminated with a Ph.D. from Shanghai Jiao Tong University, China, where she focused on the structural optimization of GFRP elastic gridshells using machine learning techniques. Her doctoral research contributed to advancing knowledge in structural design and building sustainability. Throughout her studies, Soheila has consistently integrated innovative technologies, such as artificial intelligence and machine learning, into her research, making her an authority in the field of structural design and optimization for sustainable construction.

💼 Experience 

Soheila Kookalani has accumulated extensive experience in civil and structural engineering, with a primary focus on sustainable design practices. She currently serves as a Research Associate at the University of Cambridge, where she is engaged in a groundbreaking project on the reuse of structural steel in construction. Her experience spans across diverse areas, including the circular economy, life-cycle assessment, building information modeling (BIM), and digital twin technology. From 2018 to 2022, she conducted research on GFRP elastic gridshells as part of her Ph.D. at Shanghai Jiao Tong University. Prior to this, Soheila gained practical experience working on seismic performance evaluation of hybrid structures during her Master’s at Hohai University. Her expertise also extends to the application of artificial intelligence in optimizing structural designs, demonstrating her capacity to bridge the gap between theoretical research and practical application in sustainable construction.

🏅Awards and Honors 

Throughout her academic and professional career, Soheila Kookalani has been recognized for her outstanding contributions to civil and structural engineering. She has received several prestigious awards and honors, including recognition from leading engineering conferences and academic institutions. Her work on the integration of AI and machine learning in structural design has garnered international attention, earning her accolades for innovation in sustainable construction. Soheila has also been honored for her research on GFRP elastic gridshells, receiving commendations for excellence in structural optimization and sustainable design. Her role as a published author in top-tier engineering journals has further solidified her reputation as a leading researcher in the field. Additionally, Soheila’s contributions to the reuse of structural steel and her involvement in cutting-edge projects at the University of Cambridge have earned her numerous industry awards, highlighting her commitment to environmental responsibility and sustainable engineering practices.

🌍 Research Focus 

Soheila Kookalani’s research is centered on the intersection of civil engineering, sustainability, and advanced technology. Her primary focus is on steel reuse, promoting a circular economy in construction through the reuse of structural components. She is also deeply involved in life-cycle assessments, aiming to reduce the environmental impact of construction projects. Her research integrates building information modeling (BIM) and digital twin technology to enhance the design, monitoring, and optimization of construction projects. Soheila is particularly interested in applying artificial intelligence (AI) and machine learning to optimize structural designs, especially in the context of GFRP elastic gridshells. Her work on generative AI in structural engineering seeks to streamline design processes and improve sustainability. By combining these advanced technologies, her research contributes to developing more efficient, eco-friendly building practices that align with global sustainability goals.

📖 Publication Top Notes

  • BIM-based augmented reality for facility maintenance management
    • Cited by: 24
  • Structural analysis of GFRP elastic gridshell structures by particle swarm optimization and least square support vector machine algorithms
    • Cited by: 18
  • Shape optimization of GFRP elastic gridshells by the weighted Lagrange ε-twin support vector machine and multi-objective particle swarm optimization algorithm considering …
    • Cited by: 14
  • An analytic approach to predict the shape and internal forces of barrel vault elastic gridshells during lifting construction
    • Cited by: 14
  • Effect of Fluid Viscous Damper parameters on the seismic performance
    • Cited by: 14

Dr.Md. Mahmodol Hasan | Biological Sciences | Best Researcher Award

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Dr.Md. Mahmodol Hasan | Biological Sciences | Best Researcher Award

Dr.Md. Mahmodol Hasan, University of Rajshahi, Bangladesh

Dr. Md. Mahmodol Hasan is a Bangladeshi professor in the Department of Agronomy and Agricultural Extension at the University of Rajshahi. He specializes in plant pathology and agricultural extension, with a focus on sustainable farming practices and the biocontrol of plant diseases. His research contributions have advanced understanding in wheat pathology, organic amendments, and the use of biocontrol agents like Trichoderma. His extensive experience in post-doctoral research, particularly in China, highlights his international collaboration efforts. A passionate educator and researcher, Dr. Hasan is dedicated to improving agricultural productivity and disease management.

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Summary of Suitability for the Research for Best Researcher Award

MD. MAHMODOL HASAN’s significant contributions to plant pathology, sustainable farming techniques, and biological control of plant diseases, he is highly suitable for the Research for Best Researcher Award. His innovative work in integrating scientific research with practical solutions in agriculture makes him a deserving candidate. His extensive publication record and leadership in research further emphasize his excellence in the field, making him a strong contender for this prestigious award.

 🎓 Education

Dr. Hasan’s academic journey includes a Bachelor of Science in Agriculture (B.Sc. Ag.) from Bangladesh Agricultural University, followed by a Master of Science in Plant Pathology from the same institution. His postdoctoral research at Huazhong Agricultural University in China expanded his expertise in plant disease control, particularly in the use of endophytic Trichoderma species. His PhD from the University of Rajshahi focused on seed-borne wheat diseases and plant extracts for biocontrol. This well-rounded academic background supports his commitment to improving sustainable farming practices and advancing plant pathology research in Bangladesh and beyond.

 💼 Experience

Dr. Hasan’s professional career spans decades in academia and research, including his role as a professor at the University of Rajshahi. He has also conducted significant postdoctoral research in China, focusing on biological control agents for plant diseases. His experience includes working on national and international projects aimed at improving crop yields and disease management. He has mentored students, collaborated on interdisciplinary research, and contributed to global agricultural advancements. Dr. Hasan’s work has been published in numerous peer-reviewed journals, highlighting his impact on sustainable farming and plant pathology.

🏅Awards and Honors

Dr. Hasan has received numerous awards and recognitions for his contributions to agricultural science and plant pathology. His research in biocontrol, organic amendments, and sustainable farming practices has earned him recognition at both national and international levels. His postdoctoral research in China was a significant milestone, where he focused on biological control agents. Dr. Hasan has also received recognition for his teaching and mentorship roles, shaping future generations of agricultural scientists. His dedication to improving agricultural productivity through research and innovation continues to garner praise from academic and scientific communities.

🌍 Research Focus

Dr. Hasan’s research is primarily centered on plant pathology, with a particular focus on sustainable farming practices and biological control methods. His expertise lies in the use of Trichoderma species to combat seed-borne and soil-borne plant diseases, enhancing crop resilience and yield. His work spans organic amendments, probiotic use in soils, and the application of plasma technology to improve seed health. Through his research, Dr. Hasan aims to develop innovative and eco-friendly solutions to agricultural challenges, making farming more sustainable and productive for future generations.

  📖 Publication Top Notes

Qualitative Analysis of Nitrogen Flows within Farms in Darusa, Bangladesh
Changes in Soil Properties with Combined Use of Probiotic Cultures and Organic Farming Practices in Degraded Soils of Bangladesh

 

Mr.Danish Javed | Data Science | Best Researcher Award

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Mr.Danish Javed | Data Science | Best Researcher Award

Mr.Danish Javed, Taylor’s University Lakeside Campus, Malaysia

Danish Khan is a Ph.D. scholar specializing in Data Science at Taylor’s University, Malaysia, where he is advancing research in natural language processing (NLP). With a strong academic background in Software Engineering from Bahria University, Islamabad, Danish has built expertise in Python, machine learning, and deep learning. He has held teaching roles as a Senior Lecturer at the University of Central Punjab, Lahore, and is currently a tutor at Taylor’s University, Malaysia. His career reflects a commitment to advancing computer science education, mentoring students, and leading post-graduate councils. Danish is also a prolific researcher, contributing to various data science and sentiment analysis projects, particularly in the analysis of social media content and NLP.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Danish Javed presents a strong candidacy for the Research for Best Researcher Award based on his significant academic and research contributions, particularly in the fields of data science, machine learning, and natural language processing (NLP). His ongoing PhD in Data Science from Taylor’s University demonstrates his deep commitment to advancing research, especially in topics like sentiment analysis, deep learning, and Twitter bot detection. Danish has published research in Scopus-indexed conferences and Q1/Q4 journals, which highlights the academic impact of his work.

🎓 Education 

Danish Khan has consistently pursued excellence in academia, currently working toward his Ph.D. in Data Science at Taylor’s University, Lakeside Campus, Malaysia. His doctoral research focuses on natural language processing (NLP), specifically exploring frameworks for sentiment analysis, bot detection, and text analytics. Prior to his Ph.D., Danish earned his M.S. in Software Engineering from Bahria University, Islamabad, Pakistan, where he delved into the intricacies of machine learning, image processing, and artificial intelligence. His academic foundation also includes a B.S. in Software Engineering from Bahria University, during which he developed strong programming skills in Python, Java, and C++, equipping him with the tools to tackle complex computational problems. His academic journey reflects his deep interest in understanding data structures and algorithms, making him proficient in implementing advanced analytics and programming solutions.

💼 Experience 

Danish Khan has a broad range of teaching and leadership experience, with over five years in academia. He is currently a Tutor at Taylor’s University, Malaysia, where he conducts tutorials in data science, supervises student projects, and plays a key role in shaping the post-graduate student experience. He previously served as the President of the Post-Graduate Student Council, organizing events and representing student perspectives in university meetings. Prior to his current role, Danish was a Senior Lecturer in the Faculty of Information Technology at the University of Central Punjab, Lahore, where he taught computer science and software engineering courses, supervised final-year projects, and contributed to extracurricular activities such as organizing sporting events. Additionally, Danish has experience as a QA Analyst at Orbit Institute of Technology in Lahore, where he maintained the quality standards in the Software Engineering department.

🏅Awards and Honors

Danish Khan has received notable recognition throughout his academic and professional career. His published research in data science and natural language processing has been featured in prominent Scopus-indexed conferences and reputed journals. As a Ph.D. scholar, he has been honored with several merit-based scholarships for academic excellence. Danish was also recognized for his leadership efforts while serving as President of the Post-Graduate Student Council at Taylor’s University, where he played a pivotal role in advocating for post-graduate student welfare. During his tenure at the University of Central Punjab, Lahore, he earned commendations for his outstanding contributions to teaching and student mentorship. Additionally, his development of an Android application, “Forex Profit Gain,” has garnered attention, earning placement in the Google Play Store. These accolades reflect his deep commitment to both academic rigor and innovative problem-solving in the field of data science.

🌐 Research Focus 

Danish Khan’s research is centered on data science, particularly natural language processing (NLP), machine learning, and sentiment analysis. His Ph.D. work at Taylor’s University, Malaysia, focuses on advanced techniques in deep learning to analyze and classify text-based data. His key areas of research include social media analytics, Twitter bot detection, and sentiment analysis of public opinion during crises such as the COVID-19 pandemic. Danish has contributed to frameworks that improve sentiment analysis by leveraging oversampling techniques and random minority oversampling, which enhance the accuracy of sentiment classification in user-generated content. His research also extends to explainable artificial intelligence (AI), where he has designed models for transparent and interpretable detection of bots on social media platforms. Danish’s academic pursuit aims to contribute practical, data-driven insights to solve real-world problems using cutting-edge AI and NLP technologies.

📖 publications Top Notes

“Framework for Improved Sentiment Analysis via Random Minority Oversampling for User Tweet Review Classification.”
Citation count: 25
“Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis.”
Citation count: 6
“Football Analytics for Goal Prediction to Assess Player Performance.”
Citation count: 4
“Explainable Twitter Bot Detection Model for Limited Features.”
Citation count: 2
“Explainable Machine Learning Based Model for Heart Disease Prediction.”
“Analyzing the Efficacy of Bot Detection Methods on Twitter/X.”

kelig mahe | fisheries research | Research Excellence Award

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Dr kelig mahe | fisheries research | Research Excellence Award

Dr.kelig mahe, Ifremer, France

Dr. Kélig MAHE is a leading researcher at IFREMER, specializing in marine science, particularly in the fields of sclerochronology and fisheries. Since 2021, he has been the head of the Halieutiques Manche-Mer du Nord Unit, overseeing numerous national and European projects related to fish age estimation and stock management. Dr. MAHE’s expertise spans biological data coordination, fish age determination workshops, and the development of TNPC software. He has co-supervised 11 PhD students and 12 master’s students, contributing significantly to scientific innovation, as demonstrated by his 2010 award for scientific and technological innovation at IFREMER. His contributions extend internationally, with leadership in numerous European research collaborations.

Professinal Profile

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    Education 

    Dr. Kélig MAHE’s academic journey is rooted in marine and environmental sciences. He earned his PhD in Marine Biology from Université du Littoral Côte d’Opale (ULCO) in 2019, focusing on fisheries and environmental ecosystems. Prior to this, he completed his Diplôme d’Etudes Approfondies (DEA) in Coastal and Littoral Ecosystem Dynamics from ULCO in 2002. Dr. MAHE’s foundational knowledge in marine resource management was shaped during his engineering studies at the prestigious Ecole Nationale Supérieure d’Agronomie de Rennes (ENSAR), where he graduated with a specialization in Halieutics in 2003. His multidisciplinary education also includes a Maîtrise des Sciences et Techniques in Environmental Sciences from the University of Rouen, completed in 2001, providing him with a well-rounded scientific background in both marine biology and environmental management.

    Experience 

    Dr. MAHE Kélig has an extensive research career at IFREMER, where he has been actively engaged since 2007. His role evolved from a research cadre to leading the Halieutiques Manche-Mer du Nord Unit in 2021. His vast experience includes coordinating national biological data, managing research programs on fish age estimation, and providing expert advice on stock management. His involvement in European research projects is extensive, including leadership positions in projects like Med-Units, Sumaris, and Microtolithe. Dr. MAHE has also represented IFREMER in international workshops and played a pivotal role in advancing sclerochronology, both through research and the development of TNPC software. His management experience includes overseeing teams and mentoring students, making significant contributions to both scientific research and talent development.

    Awards and Honors 

    Dr. MAHE Kélig’s distinguished contributions to marine science have earned him notable recognition. In 2010, he was awarded the IFREMER Trophée de l’innovation for his pioneering work in scientific, technical, and technological fields. His leadership and contributions have made a global impact, notably in European research collaborations, where he co-chaired 13 international workshops and participated in 4 European working groups. His expertise in sclerochronology has positioned him as an expert for IFREMER in international fora. Dr. MAHE’s influence extends to organizing international symposia, such as the 6th International Symposium on Biological Shape Analysis in 2019. His collaborative spirit and innovative work have consistently advanced marine research, particularly in fisheries biology, earning him respect and recognition within the global scientific community.

    Research Focus

    Dr. MAHE Kélig’s research centers on sclerochronology, the study of calcified structures in fish, to improve age determination methods and enhance fisheries management. His work plays a critical role in understanding fish population dynamics and the impacts of environmental changes, such as temperature fluctuations and CO2 levels, on marine species. Dr. MAHE has been at the forefront of integrating modern technologies in fisheries research, particularly through his contributions to the TNPC software for processing calcified structures. His research also extends to interdisciplinary collaborations, where he has led and participated in numerous European projects, focusing on sustainable fishery practices, species population structures, and biogeographical studies. His commitment to research excellence is evidenced by his active role in advancing knowledge in otolith morphogenesis, age determination, and stock management, all of which are pivotal for sustainable marine resource management.

     Publications Top Notes

    1. 🐟 Asymmetry of Sagittal Otolith Shape in Mediterranean Red Mullet: Comparative Analysis of 2D and 3D Otolith Shape Data (2023).
    2. 🌊 Effect of Temperature and CO2 on Morphogenesis of Sagittal Otoliths in Atlantic Herring (2023).
    3. 📊 Spatial Structuring of Demersal Fish Around Réunion Island Based on Otolith Shape (2023).
    4. 🧬 New Scale Analyses Reveal Centenarian African Coelacanths (2021).
    5. 🐠 Complementarity and Discriminatory Power of Genotype and Otolith Shape in Eastern English Channel Sole (2020).

MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award

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Dr MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award

Dr.mansoureh baradaran, North Khorasan University of Medical Sciences, Iran 

Dr. Mansoureh Baradaran is a board-certified radiologist in Iran, with extensive experience in diagnostic imaging and research collaborations. She holds expertise in conducting systematic reviews and meta-analyses in the radiology field, focusing on neurological, oncological, and radiomics studies. Dr. Baradaran has been involved in collaborative projects with prestigious institutions like UCLA, UCSD, and UAB, working on cutting-edge research in artificial intelligence applications in healthcare. Her clinical skills include professional reporting on a variety of imaging modalities, including whole-body MRI and CT scans, mammography, and ultrasound. Throughout her career, she has authored numerous research papers and book chapters in the field of radiology. Dr. Baradaran is passionate about integrating modern technologies like AI into medical imaging and improving diagnostic accuracy. She is an active member of international radiological societies, contributing to advancements in the global radiology community.

Professional profile

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Evaluation of Mansoureh Baradaran, M.D. for the Research for Best Researcher Award

Mansoureh Baradaran, M.D., presents a remarkable profile in radiology research, with a strong international research background. She has participated in numerous collaborative research projects across prestigious institutions such as UCSD, UCLA, and UAB. Her focus on using artificial intelligence in radiology for predictive analysis, as well as her involvement in high-impact studies on topics like Alzheimer’s disease, COVID-19, and cancer, highlights her expertise in radiomics and systematic reviews. Furthermore, Dr. Baradaran has published extensively, with notable research papers in reputable journals, reflecting her capacity for high-quality scholarly output. Her presentations at international conferences like the Society of Interventional Radiology (SIR) 2023 also emphasize her active engagement with the global research community.

Education :

Dr. Mansoureh Baradaran completed her radiology residency at Mashhad University of Medical Sciences, Razavi Khorasan, Iran, between 2016 and 2020. She graduated with a GPA of 17.80/20 and conducted her thesis on the pathologic results of stereotactic core needle biopsy in patients suspicious for malignancy through microcalcifications in mammography. Prior to this, she earned her Doctor of Medicine (M.D.) degree from Birjand University of Medical Sciences, South Khorasan, Iran, in 2016, with a GPA of 18.50/20. Her medical thesis investigated serum lipid levels in patients with thalassemia major compared to the control group. Dr. Baradaran’s education has been rooted in rigorous clinical and research training, allowing her to develop extensive knowledge in radiology, diagnostic imaging, and related research fields. Her educational background reflects a strong commitment to both clinical excellence and research contributions in medical science.

Experience :

Dr. Mansoureh Baradaran currently practices as a radiologist at Dr. Mohajerzadeh Private Radiology Clinic in Bojnurd, Iran, and the Avan Advanced Private Medical Center in Mashhad, Iran. She specializes in performing and interpreting imaging modalities, including ultrasounds, MRI, CT scans, and mammography. Between 2020 and 2024, she worked at North Khorasan University of Medical Science’s hospitals, where she gained extensive experience in diagnostic imaging and reporting across various radiological fields. Dr. Baradaran has also been actively involved in international research collaborations, contributing to studies on artificial intelligence, radiomics, and neurological imaging. These collaborations include working with top institutions like UCLA, UCSD, and UAB on projects such as AI applications in hepatocellular carcinoma recurrence and diagnostic performance of MRI radiomics for Alzheimer’s disease. Her hands-on clinical work is complemented by her commitment to advancing radiological research and diagnostics.

Awards and Honors :

Dr. Mansoureh Baradaran has earned several prestigious accolades throughout her medical and academic career. She secured a double-digit rank in Iran’s highly competitive entrance exam for medical specialties in May 2016, a testament to her academic prowess. Additionally, she achieved national recognition with a high rank in Iran’s basic medical science exam in September 2011. Her exceptional academic performance during her radiology residency, with a GPA of 17.80/20, further highlights her commitment to excellence in her field. Dr. Baradaran’s achievements are not limited to exams; she has co-authored numerous research papers and book chapters, contributing significantly to medical science. Her work in artificial intelligence applications in radiology and diagnostic imaging has been recognized at international conferences such as the Society of Interventional Radiology (SIR) 2023. These awards and honors reflect her dedication to both clinical practice and innovative medical research.

Research Focus :

Dr. Mansoureh Baradaran’s research is focused on diagnostic radiology, radiomics, and the integration of artificial intelligence (AI) in medical imaging. She has contributed to numerous systematic reviews and meta-analyses in areas such as Alzheimer’s disease, lung cancer, and neurological complications related to COVID-19. A significant portion of her research involves the use of radiomics for predictive modeling in diseases like non-small cell lung cancer and hepatocellular carcinoma. Her work aims to enhance diagnostic accuracy through the application of advanced imaging techniques and AI-driven technologies. Dr. Baradaran is particularly interested in how AI can improve the early detection of disease recurrence and optimize treatment outcomes. Additionally, her research on olfactory dysfunction related to COVID-19 has provided valuable insights into the long-term effects of the virus on neuroimaging. Her contributions to radiology extend beyond clinical applications, delving into the future of AI in healthcare diagnostics.

Publications Top Notes:

  1. Diagnostic performance of MRI radiomics for classification of Alzheimer’s disease, mild cognitive impairment, and normal subjects 🧠📊
  2. Prognostic value of CT scan-based radiomics in intracerebral hemorrhage patients 🩸📈
  3. Brain MRI findings in neurologically symptomatic COVID-19 patients 🦠🧠
  4. Legg-Calve-Perthes Disease: A comprehensive review of diagnosis, management, and current treatment options 🦴👩‍⚕️
  5. Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer 🫁📉
  6. Olfactory dysfunction in the COVID-19 era: An umbrella review focused on neuroimaging 👃🦠
  7. Pathologic results of stereotactic core needle biopsy in patients suspicious to microcalcification on mammography 🔬🩺
  8. Cystic teratoma of the oral cavity 👶👄
  9. Spontaneous rupture of accessory spleen 16 years after splenectomy 🩸🧬
  10. Spontaneous rupture of splenic artery aneurysm in a pregnant woman 🩸🤰