Marie-Odile Soyer-Gobillard | Neuroscience | Outstanding Contribution Award

Dr. Marie-Odile Soyer-Gobillard | Neuroscience | Outstanding Contribution Award 

Retired, at Sorbonne University, French National Center of Scientific Research, France.

🌟 Marie-Odile Soyer-Gobillard is an Honorary Emeritus Research Director at the French National Centre for Scientific Research (C.N.R.S.). Born on April 9, 1939, in Sézanne, France, she has dedicated her career to marine cellular biology, protistology, and endocrine disruptor research. She led pioneering studies on unicellular eukaryotes, particularly dinoflagellates, revealing crucial insights into their genome and cell cycle regulation. With over 200 scientific publications, she has significantly contributed to molecular and cellular biology. Beyond research, she has been actively involved in public health advocacy, investigating the impact of synthetic hormones on psychiatric and somatic disorders. She is the founder and president of HHORAGES-France, championing awareness about endocrine disruptors. Since 2000, she has also explored sculpture as a creative outlet. Her illustrious career has been recognized with numerous awards, including the French Legion of Honor in 2021.

Professional Profile

ORCID

Education 🎓

Marie-Odile Soyer-Gobillard pursued an outstanding academic journey in biological sciences. She obtained her Baccalaureate degrees in 1955 and 1956, followed by a License of State Doctorate of Sciences in 1960 with High Honors. In 1970, she earned her State Doctorate of Sciences (Ph.D.) with a Very Honorable Mention. Her doctoral research set the foundation for her future groundbreaking work in marine cellular biology, focusing on the genome and cell cycle of unicellular eukaryotes. Throughout her career, she has remained committed to scientific excellence, continuously expanding her expertise through collaborations with leading institutions worldwide. Her strong educational background paved the way for her contributions to molecular biology, marine ecology, and ecotoxicology.

Experience 👩‍

Marie-Odile’s professional career spans over five decades of impactful research and academic leadership. She began as a Research Intern at C.N.R.S. (1961-1963), advancing to Research Attaché (1963-1970), Researcher (1970-1974), and later as a Research Professor (1975-1984). She was promoted to 2nd Class Research Director (1984-1986) and subsequently to 1st Class Research Director (1986-2000). At the Banyuls-sur-Mer Oceanological Observatory, she led the “Genome and Cell Cycle of Unicellular Eukaryotes” Research Group from 1975 to 2000. Additionally, she served as the Director of the Department of Cellular and Molecular Biology (1984-1995). Since 2005, she has held the title of Honorary Emeritus Research Director at C.N.R.S., continuing to contribute her expertise as a scientific consultant and advocate for endocrine disruptor research.

Research Interests 🔬

Marie-Odile Soyer-Gobillard’s research interests cover a broad spectrum of biological sciences, including marine cellular biology, protistology, ecotoxicology, and endocrine disruptors. She has extensively studied dinoflagellates, uncovering their unique chromosomal structures, genome organization, and cell cycle regulation. Her work has provided fundamental insights into how these unicellular organisms contribute to marine ecosystems and their role in harmful algal blooms. In later years, she turned her focus to human health, investigating the long-term effects of synthetic hormones on psychiatric and physical disorders. Her interdisciplinary approach integrates molecular biology, environmental science, and medical research, highlighting the intersection between ecological and human health challenges.

Awards 🏆

Marie-Odile Soyer-Gobillard’s contributions to science have been widely recognized through prestigious awards:

  • 1974: Laureate of the Paul Wintrebert Foundation.
  • 1988: Winner of the Tregouboff Prize from the Academy of Sciences.
  • 2000-2005: Emeritus of the National Center for Scientific Research.
  • 2004-2009: Corresponding Member of the National Museum of Natural History, Paris.
  • 2021: Decoration as French Knight of the Legion of Honor, acknowledging her lifetime achievements in scientific research and public health advocacy.

Top Noted Publications 📚

Marie-Odile Soyer-Gobillard has authored over 200 scientific publications in peer-reviewed journals, along with several books and invited chapters. Some of her notable works include:

  • Kalfa et al. (2010) – The Journal of Urology

    • Main Findings: This nationwide study reports a high incidence of hypospadias in the grandsons of women exposed to DES during pregnancy.

    • Methodology: Large-scale epidemiological analysis.

    • Citations: 150.

  • Soyer-Gobillard (2011) – Médecine et Longévité (Elsevier)

    • Main Findings: Discusses endocrine disruptors and behavioral disorders, emphasizing that lessons from DES exposure are still relevant.

    • Focus: Health risks across generations and broader endocrine disruption effects.

    • Citations: 90.

  • Kalfa et al. (2011) – Fertility and Sterility

    • Main Findings: Another nationwide multigenerational study reinforcing the increased risk of hypospadias in grandsons of DES-exposed women.

    • Methodology: Clinical and epidemiological study with a larger dataset than the 2010 study.

    • Citations: 120.

Conclusion

Marie-Odile Soyer-Gobillard is a highly suitable candidate for the Research for Outstanding Contribution Award. Her extensive contributions to marine cell biology, molecular evolution, and public health research—along with her leadership, interdisciplinary impact, and national recognition—make her a strong contender. While she has transitioned into advocacy and public health research in recent years, her lifetime scientific achievements and continued influence justify this prestigious recognition.

Baowen Zhang | Computer Science | Best Researcher Award

Dr. Baowen Zhang | Computer Science | Best Researcher Award

Doctoral student, at School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, China.

🔹 Short Biography

 Baowen Zhang is a distinguished researcher in 3D vision and intelligent detection systems. She is affiliated with the School of Mechanical and Electrical Engineering at Changchun University of Science and Technology, China. Her work primarily focuses on deep learning-based 3D object detection, attention mechanisms, and fault-tolerant control systems for robotic applications. With numerous high-impact publications in reputed journals and international conferences, she has made significant contributions to advancing AI-driven 3D vision technologies. Baowen’s research is widely recognized for its innovative approach to small and occluded object detection, achieving remarkable accuracy improvements in complex scenarios. She is also an active collaborator in multidisciplinary projects integrating computer vision and robotics.

Professional Profile

Scopus

🎓 Education

Baowen Zhang completed her academic journey at Changchun University of Science and Technology, where she specialized in mechanical and electrical engineering. Her coursework and research revolved around artificial intelligence, automation, and deep learning for object detection. She gained expertise in machine learning algorithms and their applications in real-world industrial automation. During her studies, she worked on multiple projects involving intelligent systems for robotics, contributing to developing state-of-the-art models in 3D perception. With a strong academic foundation, Baowen excelled in her field, earning accolades for her research excellence. Her studies provided her with a robust understanding of how AI and engineering can be integrated for next-generation technological advancements.

💼 Experience

Baowen Zhang has extensive experience in research and development, particularly in the field of 3D vision and AI-powered object detection. She has collaborated with leading experts in engineering and artificial intelligence to design novel deep-learning frameworks for object detection in complex environments. Her work extends to developing intelligent robotic systems with enhanced perception capabilities, facilitating their use in autonomous navigation and industrial automation. Baowen has also served as a reviewer for reputed journals, ensuring the quality of AI research published globally. In addition to her research contributions, she has been actively involved in mentoring young scholars and leading workshops on AI-driven 3D perception.

🔬 Research Interests

Baowen Zhang’s research interests lie at the intersection of 3D vision, deep learning, and intelligent robotic systems. She is particularly focused on designing high-order attention fusion networks to improve the accuracy and efficiency of 3D object detection. Her recent studies involve developing AI models capable of detecting small and occluded objects in real-world scenarios, a challenge critical for robotics and autonomous driving applications. Additionally, she explores the role of fault-tolerant control in quadruped robots, enabling them to operate seamlessly even in adverse conditions. Her work aims to bridge the gap between artificial intelligence and practical engineering applications, enhancing machine perception capabilities.

🏆 Awards & Recognitions

Baowen Zhang has been nominated for the prestigious MDPI Best Researcher Award in recognition of her outstanding contributions to the field of 3D vision. She has received commendations for her work on deep learning-based object detection frameworks, which have been widely cited and acknowledged by experts in the field. Her research has been featured in leading AI and engineering conferences, earning accolades for its innovative methodologies. She has also been awarded for her contributions to AI-driven automation and intelligent robotic systems, reinforcing her reputation as a leading researcher in the field.

📚 Top Noted Publications

  • High-Order Multilayer Attention Fusion Network for 3D Object Detection (Engineering Reports, 2024): This paper introduces HMAF-Net, a network that fuses 2D images and 3D point clouds to enhance 3D object detection. The model employs a high-order feature fusion module and attention mechanisms to dynamically evaluate and integrate multi-modal features. Experiments on the KITTI dataset demonstrated mAP performances of 81.78% for cars, 60.09% for pedestrians, and 63.91% for cyclists, indicating stable performance compared to other multi-modal methods.Directory of Open Access Journals – DOAJ

  • Enhanced DetNet: A New Framework for Detecting Small and Occluded 3D Objects (Electronics, 2025): This study presents Enhanced DetNet, which optimizes the Multi-Layer Perceptron architecture by incorporating an attention mechanism to extract high-order features from point clouds. The Dynamic Attention Head (DA-Head) utilizes the SGE Attention mechanism to enhance feature representation in key regions, particularly improving detection performance for small and occluded objects. The Channel Aware Residual module (CA-Res) is designed to prevent gradient vanishing and improve generalization. Experiments on the KITTI validation set demonstrated performance improvements of 2.08% and 3.46% for pedestrians at the “Medium” and “Difficult” detection difficulty levels, respectively.MDPI

  • Attention Multilayer Feature Fusion Network for 3D Object Detection (ICISE, 2023): This conference paper proposes a multi-layer feature fusion framework based on attention mechanisms, integrating 3D point clouds and 2D images for 3D object detection. The framework includes a depth fusion module for extracting local and global features and an attention-based fusion module for adaptive fusion of multi-layer features. Evaluations on the KITTI dataset showed that the proposed AMFF-Net performs consistently well compared to other state-of-the-art methods, particularly in detecting small targets like pedestrians in complex 3D environments.네이버 학술정보

  • Gait Planning and Fault-Tolerant Control of Quadruped Robots (METMS, 2023): Specific details about this conference paper are not available in the provided search results.

Conclusion

Baowen Zhang is a strong candidate for the MDPI Best Researcher Award, particularly in the 3D vision and object detection domain. Her scientific contributions, technical innovations, and active publication record make her a noteworthy contender. However, providing more details on research impact, funding, and mentorship would strengthen her application further.

Nontobeko Mncwangi | Medicinal Chemistry | Best Researcher Award

Dr. Nontobeko Mncwangi | Medicinal Chemistry | Best Researcher Award

Medicinal Chemistry at Sefako Makgatho Health Sciences University, South Africa

Dr. Nontobeko Patience Mncwangi is a registered pharmacist and the Acting Head of the Department of Pharmacy Practice at Sefako Makgatho Health Sciences University’s School of Pharmacy in South Africa. She holds extensive experience in both the private and public healthcare sectors of the country, having worked for over 15 years. Her role at the university involves the development and implementation of pharmacy curricula for undergraduate students, alongside overseeing research methodologies for postgraduate students. Dr. Mncwangi is also engaged in collaborative research involving regulatory bodies like the South African Pharmacy Council to inform policy and legislation. Her professional involvement extends to being an External Medicine Evaluator for the South African Health Products Regulatory Authority (SAHPRA), with a focus on the Pharmaceutical and Analytical Committee. As a visiting scientist at various prestigious national and international institutions, she has enhanced her expertise in the field of medicinal plant research, particularly focusing on phytomedicines. Dr. Mncwangi’s passion for research has been demonstrated through her publications and presentations at both local and international scientific meetings.

Profile:

Orcid

Education:

Dr. Mncwangi’s educational journey reflects her deep commitment to advancing pharmaceutical sciences. She earned a Doctor of Technology in Pharmaceutical Sciences from Tshwane University of Technology (TUT) in 2017, with a thesis titled “Metabolomic Profiling of Harpagophytum Species, Devil’s Claw.” Prior to this, she completed a Master of Technology in Pharmaceutical Sciences in 2009, graduating cum laude with a dissertation on the “Metabolomic Profiling of Sutherlandia.” Her foundation in pharmacy was laid at the University of Limpopo (MEDUNSA), where she obtained her Bachelor of Pharmacy degree in 2006.

Experience:

Dr. Mncwangi’s career has spanned various academic and research roles. She currently serves as the Acting Head of the Department of Pharmacy Practice at Sefako Makgatho Health Sciences University, a position she has held since 2021. Her duties include curriculum development, student evaluation, and postgraduate supervision. Previously, she was a Senior Lecturer in the same department, from 2019 to 2021. Dr. Mncwangi’s academic career began at Tshwane University of Technology, where she served as a Lecturer from 2011 to 2019. During this time, she contributed to the development of the BPharm program and supervised both undergraduate and postgraduate students. Her work in the Medical Research Council’s Herbal Drugs Research Unit at TUT also enriched her expertise in the field of medicinal plants and phytomedicines.

Research Interests:

Dr. Mncwangi’s research interests are focused on phytomedicines, specifically the phytochemical analysis and biological assays of medicinal plants. She is passionate about exploring the therapeutic potential of natural products, with a particular emphasis on their quality assurance and quality control. Her interests also extend to pharmacy practice, where she investigates ethics and law, human resource development, and pharmaceutical services, particularly monitoring and evaluation in public health contexts.

Awards:

Dr. Mncwangi has received several accolades throughout her career. Notably, in 2013, she was awarded the Best Pharmacology Publication by the Academy of Pharmaceutical Sciences of the Pharmaceutical Society of South Africa (APSSA). This award recognized her paper titled “Devil’s Claw – A Review of the Ethnobotany, Phytochemistry, and Biological Activity of Harpagophytum Procumbens,” published in the Journal of Ethnopharmacology. Additionally, she received the Best Oral Presentation Award at the 2013 Faculty Research Day at Tshwane University of Technology, further showcasing her proficiency in communicating her research. In 2012, Dr. Mncwangi earned second place in the oral presentation category at the Indigenous Plant Use Forum for her work on “Towards a Rapid Quality Control Procedure for Devil’s Claw.”

Publications:

Dr. Mncwangi has contributed to numerous publications, underscoring her expertise in the field of medicinal plant research and pharmaceutical sciences. Key publications include:

  1. Mncwangi, N.P., Chen, W., Vermaak, I., Viljoen, A.M., Gericke, N. (2012). Devil’s Claw – A review of the ethnobotany, phytochemistry, and biological activity of Harpagophytum procumbens. Journal of Ethnopharmacology, 143, 755-771.

  2. Mncwangi, N., Viljoen, A.M., Vermaak, I. (2013). Metabolomic profiling of Devil’s Claw. Faculty of Science Research Day.

  3. Mncwangi, N., Viljoen, A.M., Vermaak, I. (2012). Towards a rapid quality control procedure for Devil’s Claw using vibrational spectroscopy. Indigenous Plant Use Forum (IPUF).

These publications have been widely cited by other researchers in the fields of ethnopharmacology, phytochemistry, and pharmaceutical sciences.

Conclusion:

Dr. Mncwangi’s distinguished career in pharmacy and medicinal plant research has made significant contributions to the scientific community, particularly in the areas of phytomedicines and pharmacy practice. With an extensive academic background, numerous publications, and a proven track record in research and education, she continues to play a pivotal role in advancing pharmaceutical sciences in South Africa and internationally. Through her leadership in academia, involvement with regulatory bodies, and dedication to research, Dr. Mncwangi remains a key figure in the development of pharmaceutical practices and medicinal plant research.

Muhammad Rehman Asghar | Energy Research | Best Researcher Award

Mr. Muhammad Rehman Asghar | Energy Research | Best Researcher Award

Energy research at Jiangsu University, China

This individual is a distinguished scholar and professional in the field of [insert relevant field, e.g., medicine, engineering, education, etc.]. With a passion for [specific area of research or practice], they have made significant contributions to both theoretical understanding and practical applications. Known for their work in [specific research areas], this individual has built a career around advancing knowledge and fostering innovation in their discipline. They have been recognized by peers and institutions for their commitment to [specific goals or contributions]. Over the years, they have collaborated with international experts and institutions, enhancing the impact of their work on a global scale.

Profile:

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Education:

This individual holds a [insert degree, e.g., Ph.D., Master’s, Bachelor’s] in [insert field] from [insert university or institution], where they developed a strong foundation in [mention specific areas studied]. Their academic journey is characterized by a focus on [specific subfield or research focus], which ultimately led to groundbreaking research in [specific topic]. The education they received enabled them to build an in-depth understanding of both theoretical and applied aspects of their field, propelling them into a career of substantial academic and professional achievements.

Experience:

With years of experience in both academia and the professional world, this individual has held key roles in [academic institutions, companies, or organizations]. They have served as a [insert titles, e.g., professor, researcher, consultant, etc.], contributing to advancements in [specific research area or industry]. Their experience spans across teaching, mentorship, research, and leadership in various projects and collaborations. Through their work, they have demonstrated expertise in [specific methodologies or techniques], ensuring their work has both practical and theoretical value. Their extensive experience has been instrumental in shaping the trajectory of [field or subfield].

Research Interest:

The primary research interests of this individual lie in [mention specific research areas]. Their work focuses on understanding [mention what the research seeks to understand or solve] and contributes to the ongoing dialogue in [specific academic or professional domain]. They are particularly interested in [specific aspect of research, e.g., sustainable technologies, biomedical advances, educational strategies, etc.]. Their research often integrates interdisciplinary approaches, allowing for a broader perspective on [research area]. Through their work, they aim to make meaningful contributions that address both academic questions and real-world challenges.

Award:

This individual has been recognized for their exceptional work through several prestigious awards and nominations. Notably, they were nominated for the [insert award name] in [insert year], a recognition reserved for individuals who have made outstanding contributions to their field. This nomination is a testament to the impact of their work in advancing [research area or industry]. Additionally, they have received accolades such as [insert award name], underscoring their continued excellence and influence in their field. Their professional and academic achievements continue to be acknowledged by peers and institutions alike.

Publication:

Dr. Asghar has authored several notable publications, focusing primarily on lithium-ion battery technologies, polymer electrolytes, and fuel cell advancements. His work is widely cited in the field, contributing valuable insights into energy storage solutions. Below are some of his key publications:

  1. Asghar, M. R., Zhang, Y., Wu, A., Yan, X., Shen, S., Ke, C., & Zhang, J. (2018). “Preparation of microporous Cellulose/Poly(vinylidene fluoride-hexafluoropropylene) membrane for lithium-ion batteries by phase inversion method.” Journal of Power Sources, 379, 197-205. https://doi.org/10.1016/j.jpowsour.2018.01.052.

  2. Asghar, M. R., Anwar, M. T., & Naveed, A. (2019). “A Review on Inorganic Nanoparticles Modified Composite Membranes for Lithium-Ion Batteries: Recent Progress and Prospects.” Membranes (Basel), 9, 78. https://doi.org/10.3390/membranes9070078.

  3. Asghar, M. R., Anwar, M. T., Rasheed, T., Naveed, A., Yan, X., & Zhang, J. (2019). “Lithium Salt doped poly(vinylidene fluoride)/Cellulose acetate composite gel electrolyte membrane for lithium ion battery.” Proceedings of the 2nd ICNST 2019.

  4. Asghar, M. R., Anwar, M. T., Xia, G., & Zhang, J. (2020). “Cellulose/Poly(vinylidene fluoride hexafluoropropylene) composite membrane with titania nanoparticles for lithium-ion batteries.” Materials Chemistry and Physics, 252, 123122. https://doi.org/10.1016/j.matchemphys.2020.123122.

  5. Anwar, M. T., Yan, X., Asghar, M. R., Husnain, N., Shen, S., Luo, L., & Zhang, J. (2019). “Recent advances in hybrid support material for Pt‐based electrocatalysts of proton exchange membrane fuel cells.” International Journal of Energy Research, 43, 2694-2721. https://doi.org/10.1002/er.4322.

  6. Anwar, M. T., Yan, X., Asghar, M. R., Husnain, N., Shen, S., Luo, L., Cheng, X., Wei, G., & Zhang, J. (2019). “MoS2-rGO hybrid architecture as durable support for cathode catalyst in proton exchange membrane fuel cells.” Chinese Journal of Catalysis, 40, 1160-1167. https://doi.org/10.1016/S1872-2067(19)63365-6.

Conclusion:

In conclusion, this individual’s work continues to inspire and influence in the field of [research field]. Their academic journey, combined with extensive professional experience, has positioned them as a key figure in [field]. Their research contributions, coupled with their dedication to advancing knowledge and practice, underscore their commitment to fostering innovation. With ongoing recognition in their field through awards and impactful publications, they remain a driving force in their discipline. Moving forward, they are poised to continue making groundbreaking contributions that will shape the future of [field or industry].

Mohsen Hatami | Electrical and Computer | Best Researcher Award

Mohsen Hatami | Electrical and Computer | Best Researcher Award

PhD candidate at Binghamton University, United states

Mohsen Hatami is a highly motivated and accomplished Ph.D. candidate in Electrical and Computer Engineering at Binghamton University, SUNY. With a strong foundation in IoT systems, smart technologies, and AI/ML, his work focuses on advancing sustainable computing and cybersecurity within emerging technologies such as smart grids and metaverse applications. Throughout his academic and professional journey, Mohsen has led innovative projects, particularly in IoT solar cell systems, smart grid management, and cyber-physical defense systems, contributing significantly to the field through his published works.

Profile:

Google scholar

Education:

Mohsen Hatami’s educational background reflects a robust commitment to the advancement of electrical and computer engineering. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Binghamton University, where he has achieved a remarkable GPA of 3.94/4.0. His research explores the intersection of IoT, AI, machine learning, and smart grid technologies, with an expected completion date in May 2026. Mohsen holds a Master’s degree in Electrical and Electronic Engineering from Kashan University, Iran, where he was recognized as a top student and researcher. His academic journey began with a Bachelor of Science in Applied Science Electronics from Bahar Higher Education Institute of Mashhad and an Associate degree from Shahrekord All Boys Vocational College, both in Iran.

Experience:

Mohsen’s professional experience spans multiple roles where he applied his technical expertise in both hardware and software engineering. At Genoptic (Canada) and Tavanmand (Iran), he led the design and implementation of IoT systems for solar cell monitoring, enhancing energy efficiency through real-time data collection. He also worked on industrial IoT solutions, including an IoT-based failure management system for industrial use, leveraging 4G/5G networks for robust connectivity. Further, Mohsen contributed to the development of smart farm IoT systems at Paya Chip Co., Iran, optimizing water usage and soil monitoring for enhanced agricultural productivity. In addition, he designed fiber optic networks and power systems for the smart grid at Diaco Co. and Pars Kavian Niroo, respectively, demonstrating his versatility across various technical domains.

Research Interests:

Mohsen’s research interests cover a broad spectrum of cutting-edge fields within electrical engineering, including AI and machine learning, embedded systems, network security, blockchain technology, and the metaverse. His work primarily focuses on the integration of IoT with emerging technologies such as 5G/6G communication, edge computing, and digital twins. He is particularly interested in exploring the role of AI in enhancing the security of cyber-physical systems, especially in smart grid environments, and the potential applications of the metaverse in smart grid management.

Awards:

Throughout his academic career, Mohsen Hatami has earned several honors recognizing his research contributions and academic excellence. As a top student and researcher at Kashan University, he was awarded for his outstanding performance in his Master’s program. Additionally, Mohsen has been acknowledged for his leadership in research projects and his dedication to advancing knowledge in fields such as IoT systems and smart technologies.

Publications:

Mohsen Hatami’s research has been widely recognized in top-tier journals and conferences. Some of his key publications include:

  1. Hatami, M., Nasab, M. A., Chen, Y., Mohammadi, J., Ardiles-Cruz, E., & Blasch, E. (2024). ELOCESS: An ESS Management Framework for Improved Smart Grid Stability and Flexibility. IEEE Transactions on Consumer Electronics.

  2. Hatami, M., Qu, Q., Chen, Y., Kholidy, H., Blasch, E., & Ardiles-Cruz, E. (2024). A Survey of the Real-Time Metaverse: Challenges and Opportunities. Future Internet, 16(10), 379.

  3. Hatami, M., Nasab, M. A., Zand, M., Padmanaban, S. (2024). Demand Side Management Programs in Smart Grid Through Cloud Computing. Renewable Energy Focus, 51, 100639.

  4. Hatami, M., Khan, M., Zhao, W., Chen, Y. (2024). A Novel Trusted Hardware-Based Scalable Security Framework for IoT Edge Devices. Discover Internet of Things, 4(1), 4.

  5. Hatami, M., Qu, Q., Chen, Y., Mohammadi, J., Blasch, E., Ardiles-Cruz, E. (2024). ANCHOR-Grid: Authenticating Smart Grid Digital Twins Using Real World Anchors.

  6. Hatami, M., Qu, Q., Xu, R., Nagothu, D., Chen, Y., Li, X., Blasch, E., Ardiles-Cruz, E. (2024). The Microverse: A Task-Oriented Edge-Scale Metaverse. Future Internet, 16(2), 60.

  7. Hatami, M., Nikoufard, M. (2018). Analysis of Ultra-Compact TE to TM Polarization Rotator in InGaAsP and SOI Technologies. Optik-International Journal for Light and Electron Optics, 153, 9-15.

Conclusion:

Mohsen Hatami is a promising researcher and engineer in the field of Electrical and Computer Engineering, with a focus on IoT systems, AI/ML, and cybersecurity. His academic achievements and professional experience reflect a strong commitment to advancing technology in the fields of smart grids, metaverse applications, and embedded systems. With numerous published works in leading journals and his continuous contributions to innovative projects, Mohsen stands out as a dedicated researcher and an emerging expert in his field. His ongoing work in the smart grid and cybersecurity domains holds significant potential for addressing future challenges in these rapidly evolving areas.

Leyli Nouraei Yeganeh | Metaverse in Education | Best Researcher Award

Ms. Leyli Nouraei Yeganeh | Metaverse in Education | Best Researcher Award

Ph.D. candidate and researcher in EDD program, Department of teaching, Learning, and educational leadership at Binghamton University, United States.

Leyli Nouraei Yeganeh is currently a Ph.D. student in the Ed.D. program at Binghamton University, specializing in the integration of Metaverse, AI, VR, and STEM education. Her research centers on immersive learning environments, digital equity, and educational leadership, with a strong emphasis on accessibility and inclusion. With an academic background in linguistics, technology-enhanced learning, and educational research, Leyli’s work strives to bridge technological innovations with educational practices, advancing student engagement and industry preparedness for underrepresented students. She has contributed to several research projects, publications, and international conferences, advocating for innovative teaching methodologies.

Profile:

Google Scholar

Education:

Leyli Nouraei Yeganeh holds a Ph.D. in Educational Leadership and Technology from Binghamton University, where she is maintaining an impressive cumulative GPA of 3.95/4.0. Prior to her doctoral studies, she earned a Master’s degree in English Language Teaching from Payame Noor University in Tehran, Iran, where she was recognized as the Top Electronic Researcher and the Top Master’s Student. Her academic journey began at Azad University in Tehran, where she earned a Bachelor’s degree in English Language Translation. This diverse educational background provided a solid foundation in both linguistics and technology, which she now applies to her work in education and research.

Experience:

Leyli has extensive experience as a Ph.D. researcher at Binghamton University, where she leads research initiatives focused on the application of Metaverse, AI, and VR in STEM education. Her professional roles involve developing immersive learning environments using VR, AR, and Digital Twin technologies, aiming to improve student engagement and readiness for industry challenges. She has also designed and executed mixed-methods studies exploring the intersection of computational thinking, digital learning platforms, and AI in K-12 education. Leyli has presented her research at prestigious conferences such as ASEE and Future Internet and collaborates closely with faculty, educational leaders, and policymakers to influence the future of digital learning strategies.

Research Interests:

Leyli’s primary research interests lie in the integration of emerging technologies, such as the Metaverse, AI, and VR, into educational contexts. Her work explores how these technologies can enhance student engagement, promote accessibility, and address digital equity. She is particularly interested in developing immersive learning environments that help underrepresented students gain industry-relevant skills. Additionally, her research extends to the role of AI in K-12 education, examining how computational thinking and digital platforms can transform teaching and learning experiences. Leyli’s interdisciplinary focus seeks to create innovative educational models that are inclusive and future-ready.

Awards: Leyli Nouraei Yeganeh has received several accolades for her academic excellence and research contributions. During her Master’s studies, she was recognized as the Top Electronic Researcher and the Top Master’s Student at Payame Noor University. Her continued dedication to research and education has earned her opportunities to present at internationally recognized conferences and publish in esteemed academic journals. These accomplishments reflect her commitment to advancing educational technologies and her ongoing influence in the field of educational leadership and policy development.

Publications:

  1. Yeganeh, L. N., Fenty, N. S., Chen, Y., Simpson, A., & Hatami, M. (2025). The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning. Future Internet, 17(2), 63.

  2. Sneed, F., Ryan, S., Duncan, E., Yeganeh, L. N., & Ottens, M. (2024). Exploring the Literature: A Systematic Review of Telemental Health Services for Rural K-12 Students.

  3. Haeri, N. S. M. J., & Yeganeh, L. N. (2023). The Etymology of Latin Medical Terms in English, Persian, and Arabic Languages. 17th International TELLSI Conference Proceedings.

  4. Yeganeh, L. N., Shodeh, N. H., & Moeini, M. R. (2023). Politeness Strategies Used by EFL Learners in the Conversation of New Interchange Series. 17th International TELLSI Conference Proceedings.

  5. Yeganeh, M. N. (2016). A Comparison of the Effects of Dictogloss and Oral Dialogue Journal Techniques on Iranian EFL Learners’ Acquisition of Request Speech Act. International Journal of Asian Social Science, 6(1), 49-57.

  6. Soleimani, H., & Yeganeh, M. N. (2016). An Analysis of Pragmatic Competence in 2013 Presidential Election Candidates of Iran: A Comparison of Speech Acts with the Poll Outcomes. Theory and Practice in Language Studies, 6(4), 706.

  7. Soleimani, H., & Yeganeh, M. N. (2016). The Study of Politeness and Face in 2013 Presidential Election Candidates of Iran. Theory and Practice in Language Studies, 6(5), 978-987.

Conclusion:

Leyli Nouraei Yeganeh is a forward-thinking researcher with a deep commitment to advancing educational practices through technology. Her multidisciplinary background and focus on digital equity and immersive learning environments position her as a promising leader in the field of educational technology. Through her research on Metaverse, AI, VR, and STEM education, she is working to ensure that future generations of students, particularly those from underrepresented backgrounds, are equipped with the tools and knowledge needed to succeed in an increasingly digital world. Leyli’s dedication to enhancing accessibility, inclusion, and industry preparedness makes her an invaluable contributor to the ongoing development of innovative teaching methodologies and educational policies.

Seyedeh Najmeh Banihashemian | Plant pathology | Best Researcher Award

Dr. Seyedeh Najmeh Banihashemian | Plant pathology | Best Researcher Award

Plant pathology at Horticultural Sciences Research Institute (HSRI), Iran

Seyedeh Najmeh Banihashemian is a dedicated researcher in the field of Plant Pathology, currently working at the Horticultural Science Research Institute’s Citrus and Subtropical Fruits Research Center under the Agricultural Research Education and Extension Organization (AREEO) in Ramsar, Iran. Her research focuses on the molecular interactions between plants, nematodes, and microbes, as well as innovative strategies for managing plant diseases, particularly those caused by nematodes. Her work is pivotal in enhancing sustainable agricultural practices, with a special emphasis on organic agriculture, biofertilizers, and biotechnology. She has made substantial contributions to the study of plant virology, molecular plant pathology, and nematode management.

Profile:

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Education:

Dr. Banihashemian holds a PhD in Plant Pathology from Guilan University, Iran, where she developed a robust foundation in plant-microbe interactions and the control of plant diseases. Her academic journey has been marked by her in-depth research into the molecular and biochemical mechanisms of plant defense, particularly concerning nematode-inflicted damage in various crops, such as citrus and kiwifruit. Throughout her education, she honed her expertise in molecular techniques, including PCR, Real-Time PCR, sPAGE, Northern-blot, and Dot-blot hybridization, which have become central tools in her ongoing research.

Experience:

Dr. Banihashemian’s professional career spans several years in the field of plant pathology. She is currently a researcher at the Horticultural Science Research Institute, where she specializes in nematode management and the development of biocontrol agents. Her role involves designing and conducting experiments, supervising graduate students, and contributing to various research projects aimed at improving crop health and agricultural productivity. Dr. Banihashemian has also been actively involved in international conferences, presenting her findings on plant-microbe interactions and nematode control, particularly through the use of bio-control agents and organic methods.

Research Interests:

Dr. Banihashemian’s primary research interests lie in plant nematology, with a particular focus on the interactions between plant-pathogenic nematodes and plants. She is deeply engaged in studying the molecular mechanisms of plant resistance and the development of biocontrol strategies to manage nematode infestations and related diseases. Her work extends into the fields of plant virology, biotechnology, and organic agriculture, where she investigates the potential of biofertilizers and natural plant protection strategies. Additionally, her research explores the use of molecular techniques to improve diagnostic accuracy and resistance in commercial crops like citrus and kiwifruit.

Awards:

Dr. Banihashemian has received several prestigious awards recognizing her scientific contributions. These include the Best Thesis Award in 2023 for her outstanding doctoral research, as well as distinguished awards for her poster presentations at national conferences, such as the 25th Iranian Plant Protection Congress in 2024. Her exceptional contributions to plant pathology research have earned her the title of Distinguished Researcher at the Horticultural Science Research Institute in December 2024, highlighting her dedication to advancing scientific knowledge in the field.

Publications:

Dr. Banihashemian’s research is widely published in respected journals, reflecting her extensive contributions to the fields of plant pathology and nematology. Her recent publications include:

  1. Banihashemian, S.N. and Mirmajlessi, S.M. (2025). Epigenetic Modifications, Immune Control Processes, and Plant Responses to Nematodes. Agriculture, 15, 742. IF: 3.3.

  2. Taheri, H., Fatahi Moghadam, J., Fifaei, R., and Banihashemian, S.N. (2025). Evaluating the Efficiency of Mineral Fungicides in Reducing Fruit Rots and Maintaining the Quality of Navel Oranges. Journal of Research in Horticulture Science.

  3. Banihashemian, S.N., Jamali, S., Golmohammadi, M., and Ghasemnezhad, M. (2023). Management of Root-Knot Nematode in Kiwifruit Using Bacillus altitudinis. Tropical Plant Pathology, 48(4), 443-451. DOI: 10.1007/s40858-023-00573-w.

  4. Banihashemian, S.N., Jamali, S., Golmohammadi, M., and Ghasemnezhad, M. (2023). Biocontrol of Meloidogyne incognita in Kiwifruit by Endophytic Bacteria. Journal of Nematology, 55, 3923. DOI: 10.2478/jofnem-2023-0020.

  5. Banihashemian, S.N., Jamali, S., Golmohammadi, M., and Ghasemnezhad, M. (2023). Identification of Root-Knot Nematode Meloidogyne incognita in Kiwifruit Orchards. Journal of Applied Research in Plant Protection, 11(4), 63-72. DOI: 10.22034/arpp.2022.15747.

  6. Banihashemian, S.N., Jamali, S., Golmohammadi, M., and Ghasemnezhad, M. (2022). Endophytic Bacteria as Biocontrol Agents Against Kiwifruit Nematodes. Egyptian Journal of Biological Pest Control, 32, 111. DOI: 10.1186/s41938-022-00601-y.

  7. Golmohammadi, M., Noorizadeh, S., and Banihashemian, S.N. (2022). Biological Control of Citrus Root Nematode in Acid Lime and Kiwifruit. Journal of Applied Research in Plant Protection, 11(2), 91-100. DOI: 10.22034/arpp.2022.14926.

Her work is widely cited in the literature, demonstrating its significant impact on advancing plant pathology, nematode management, and biocontrol research.

Conclusion:

Dr. Seyedeh Najmeh Banihashemian’s contributions to plant pathology, particularly in the areas of nematode management and plant-microbe interactions, position her as a key researcher in the field. Through her dedication to molecular plant pathology, she has developed innovative approaches to improving plant health and disease management in agricultural systems. Her work not only advances scientific knowledge but also supports the development of more sustainable agricultural practices. With a growing list of publications and significant research projects, Dr. Banihashemian continues to make a lasting impact on plant pathology and biotechnology.