Aikaterini Sousamli | Behavioral Neuroscience | Best Researcher Award

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Dr. Aikaterini Sousamli | Behavioral Neuroscience | Best Researcher Award

Dr. Aikaterini Sousamli | University of West Attica | Greece

Aikaterini Sousamli, Midwife, MSc, PhD Candidate at the University of West Attica, is a dedicated healthcare professional and researcher specializing in perinatal health, reproductive medicine, and family planning. She graduated with distinction from the University of Thessaly with an MSc in Primary Health Care and holds a degree in Midwifery from the TEI of Athens. Her doctoral research focuses on perinatal factors associated with the occurrence of Autism Spectrum Disorder (ASD) in children and its impact on family dynamics. Alongside her academic pursuits, she has extensive professional experience as a midwife at the Larissa Health Center and as a research associate in national and international health projects addressing antimicrobial resistance, perinatal care, and global health indicators. She has authored and co-authored numerous peer-reviewed publications in high-impact journals, covering topics such as maternal mental health, menopause, perinatal risk factors for ASD, and sexual health in women with chronic conditions. Her research has been widely cited, with an h-index of 5, 15 scientific documents, and 120 total citations, reflecting her growing academic influence. Active in scientific conferences across Europe, Africa, and Asia, she also serves as a reviewer for the Journal of Gynecology and Obstetrics, contributing to advancing evidence-based midwifery practice globally.

Profiles: Orcid | Research Gate

Featured Publications

Sousamli, A., Vidali, M., Dourou, P., Sarantaki, A., Deltsidou, A., & Vivilaki, V. (2025). Crafting kinship beyond biology: Maternal experiences in non-genetic family formation – A systematic review. MAEDICA – A Journal of Clinical Medicine.

Sousamli, A., Patronidou, D., Taskou, C., Athanasiadou, C.-R., Dourou, P., & Sousamli, A. (2025). The role of the maternal gut microbiome in regulating endocrine function during pregnancy and postpartum: Implications for neonatal health. World Journal of Advanced Research and Reviews, 27(1).

Sousamli, A., Malli, F., Tsaras, K., Dourou, P., Sarantaki, A., & Malliarou, M. (2025). Psychological burden, stress, depression, and resilience among midwives: An epidemiological study in Thessaly, Greece. Journal of Clinical & Basic Psychosomatics.

Sousamli, A., Malliarou, M., Sarantaki, A., Dourou, P., Malli, F., & Tsaras, K. (2025). Psychological burden and burnout among midwives: An epidemiological study in Thessaly, Greece. Journal of Clinical & Basic Psychosomatics.

Sousamli, A. E., & Dourou, P. D. (2025). The impact of menopause on sexual health: A cross-sectional study using data from women living in Northern Greece. World Journal of Advanced Research and Reviews, 26(3).

Sousamli, A. E., & Dourou, P. D. (2025). Association between menopause and quality of life: A cross-sectional study using data from women living in Northern Greece. World Journal of Advanced Research and Reviews, 25(3).

Sousamli, A. E., & Dourou, P. D. (2024). Relationship between episiotomy and dyspareunia: A narrative review of the most recent literature. World Journal of Advanced Research and Reviews, 24(3).

Sousamli, A., Dragioti, E., Metallinou, D., Lykeridou, A., Dourou, P., Athanasiadou, C.-R., Anagnostopoulos, D., & Sarantaki, A. (2024). Perinatal and demographic risk factors associated with autism spectrum disorder: A national survey of potential predictors and severity. Healthcare, 12(20).

Abdullah Alghamdi | Emerging Areas in Neuroscience | Best Researcher Award

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Mr. Abdullah Alghamdi | Emerging Areas in Neuroscience | Best Researcher Award

Mr. Abdullah Alghamdi, University of Birmingham (UK) and Taibah University (Saudi Arabia),  United Kingdom.

Eng. Abdullah A. Zohaid (SMIEEE, SMIET) is an accomplished electrical engineer and academic with a specialization in Smart Power Systems, focusing on electric vehicles, AI-integrated transportation systems, and sustainable smart city infrastructure. With a solid educational foundation—earning distinctions at every academic level—he has seamlessly merged academic excellence with real-world engineering experience. From his early career at Saudi Aramco to his dual lecturing roles at Taibah University and the University of Birmingham, Abdullah has built a reputation as a forward-thinking researcher, educator, and strategist. His work bridges technical innovation with societal needs, aiming to optimize power grids and energy systems for a sustainable future.

Profile

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🎓 Early Academic Pursuits

From the historic city of Medina, Saudi Arabia, Eng. Abdullah A. Zohaid embarked on his academic journey in Electrical Engineering at Taibah University, where his talent and determination earned him distinction in his final project. His academic passion soon carried him to the United Kingdom, where he pursued an MSc in Electrical Power Systems at the University of Birmingham, graduating with First-Class Honors and distinction. Abdullah’s unwavering commitment to academic excellence continued as he embarked on a Ph.D. in Smart Power Systems at the same institution. Excelling in all areas, he has distinguished himself through both research prowess and scholastic achievement.

⚡ Professional Endeavors

Eng. Alghamdi has established himself as a dynamic professional straddling the worlds of academia and industry. His journey began with Saudi Aramco’s Dodsal Company, contributing to the vital 56″ Gas Pipeline project as an assistant electrical engineer. He transitioned into academia with his role as a Lecturer at Taibah University in Yanbu and later joined the University of Birmingham as a faculty member. Balancing dual academic roles in Saudi Arabia and the UK, Abdullah has developed a unique global perspective, blending practical engineering insight with cutting-edge educational delivery. His presence as an educator underscores his belief in empowering future engineers with real-world readiness.

🔬 Contributions and Research Focus

A scholar deeply embedded in the future of sustainable power, Eng. Alghamdi’s research focuses on Smart Power Systems, electric vehicles, smart charging infrastructures, and the integration of AI in intelligent transportation systems. Through his ongoing Ph.D. research, he explores how emerging technologies can enhance smart grid resilience and contribute to the development of smart cities. He utilizes advanced simulation and optimization tools such as MATLAB/SIMULINK, Python, and Gurobi, combined with machine learning techniques (ANN/CNN), to propose innovative solutions that address pressing energy challenges. His passion for sustainability is evident in his contributions to the global energy discourse, especially in urban mobility and decarbonization.

🏆 Accolades and Recognition

Eng. Zohaid’s career is adorned with recognition and academic milestones. His consistent distinction in every academic phase, including honors during both his MSc and Ph.D. studies, reflects a sustained trajectory of excellence. As a senior member of prestigious engineering bodies like IEEE and IET, and a certified Professional Engineer by the Saudi Council of Engineers, his credentials are a testament to his standing in the professional community. Furthermore, his publications in Q1 journals and contributions to leading international conferences validate the depth of his research and the quality of his scholarly communication.

🌍 Impact and Influence

With affiliations across IEEE working groups and university research circles, Eng. Alghamdi’s influence spans global academic and professional spheres. As a presenter and contributor at numerous high-level conferences — from the IEEE Power & Energy Society to Net Zero Futures and Saudi Innovation events — he has played a key role in shaping conversations on smart energy. His multidisciplinary expertise allows him to drive collaborations across AI, optimization, and power systems, impacting both policy and practice. His ability to simplify complex engineering concepts and communicate them effectively has enabled him to become a trusted voice among peers and students alike.

💡 Innovation and Strategic Vision

Abdullah’s strength lies in visionary thinking and strategic problem-solving. He doesn’t merely research problems—he crafts systems and strategies that reflect future-forward thinking. His approach to sustainable urban infrastructure blends technological acumen with strategic planning, leadership, and innovation. As an educator and researcher, he fosters environments that promote critical thinking and team-based innovation, cultivating the next generation of engineers equipped to face tomorrow’s challenges. His work on smart charging and intelligent transportation embodies the essence of transformative impact through design thinking and systems innovation.

🚀 Legacy and Future Contributions

Looking ahead, Eng. Abdullah A. Zohaid is poised to leave a lasting legacy in the realm of smart power systems and urban sustainability. His dual role as a lecturer and researcher gives him a powerful platform to shape both academic knowledge and real-world applications. With his continued focus on electrification, smart mobility, and AI-driven infrastructure, he is on track to influence policy, inspire innovation, and expand the boundaries of what is possible in modern power systems. His legacy will be defined not only by the technologies he helps build but also by the students and professionals he inspires along the way.

Publication

  • Innovative Prepositioning and Dispatching Schemes of Electric Vehicles for Smart Distribution Network Resiliency and Restoration
    AAM Alghamdi, D. Jayaweera, 2022

 

  • Resilience of Modern Power Distribution Networks with Active Coordination of EVs and Smart Restoration
    AAM Alghamdi, D. Jayaweera, 2023

 

  • Modelling Frameworks Applied in Smart Distribution Network Resiliency and Restoration
    AAM Alghamdi, D. Jayaweera, 2022

 

  • Resilience-Oriented Restoration in Modern Power Distribution Networks with Smart Electric Vehicles Coordination Framework
    A. Alghamdi, D. Jayaweera, 2023

 

  • Risk and Resilience Based Residential Electric Vehicle Integration Framework for Restoration of Modern Power Distribution Networks
    A. Alghamdi, D. Jayaweera, 2025

 

  • Electric Boats and Electric Vehicles Data-Driven Approach for Enhanced Resilience in Power Distribution Networks
    AAM Alghamdi, D. Jayaweera, 2025

 

✅ Conclusion

Eng. Alghamdi stands at the forefront of energy transformation, using research, innovation, and teaching as tools to drive meaningful change. His contributions reflect a blend of technical mastery and visionary leadership, enabling progress in smart mobility, clean energy, and intelligent infrastructure. With a growing portfolio of Q1 publications, prestigious memberships, and impactful conference roles, he continues to influence the field of electrical engineering on a global scale. As he advances in his career, his legacy will be marked by both technological advancements and the future minds he mentors—solidifying his role as a transformative figure in the evolution of smart power systems.

Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

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Dr. Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Jiwei Nie, Haier Group, China.

Jiwei Nie is an accomplished Chinese researcher specializing in Artificial Intelligence-based Pattern Recognition and Intelligent Detection, with a strong focus on AI large models. His academic journey began with a Bachelor’s in Mechanical Design and Automation and evolved into a deeply integrated path through a Master’s and Ph.D. in Control Science and Engineering at Northeastern University. Throughout his doctoral research, he has made notable contributions to the field of Visual Place Recognition (VPR) for autonomous systems, publishing in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation Letters. Jiwei’s innovations—especially in lightweight, training-free image descriptors and adaptive texture fusion—have positioned him at the forefront of applied AI in robotics and automation. He has also presented at major international conferences and holds multiple patents.

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🎓 Early Academic Pursuits

 Jiwei Nie displayed a deep interest in engineering and innovation from an early age. His academic journey began at Hebei University of Science and Technology, where he pursued a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation. His strong academic performance earned him first-class honors, and he graduated in July 2018. Motivated to delve deeper into the fusion of machinery and intelligence, he advanced to Northeastern University, completing his Master’s degree in Mechanical and Electronic Engineering by July 2020. Driven by a vision to integrate control systems with intelligent technologies, he enrolled in a PhD program in Control Science and Engineering under a prestigious Integrated Master-PhD track, further solidifying his expertise in the intelligent automation domain.

💼 Professional Endeavors

Jiwei’s professional development has been tightly interwoven with his academic path, where he has continuously applied theoretical insights to practical problems in Artificial Intelligence and Control Systems. As a member of the Communist Party of China, he approaches his work with a strong sense of discipline and public responsibility. His fluency in English, proven by his CET-6 certification, has enabled him to actively contribute to the global research community, engaging in international collaborations and conferences. Alongside his research, Jiwei has contributed to academic circles through mentorship roles and cross-institutional projects, making a significant impact both inside and outside his university.

🤖 Contributions and Research Focus

Jiwei Nie’s research is at the forefront of Artificial Intelligence-based Pattern Recognition and Intelligent Detection, with a special emphasis on AI Large Models. His work focuses on developing lightweight, efficient algorithms for Visual Place Recognition (VPR)—a critical capability for autonomous vehicles and robotic systems. He has pioneered new methods in saliency encoding, feature mixing, and texture fusion, leading to more robust and adaptive AI systems. Through these contributions, he has addressed real-world challenges in long-term navigation and intelligent perception, pushing the boundaries of control science and machine intelligence.

🏆 Accolades and Recognition

During his PhD, Jiwei published multiple high-impact articles in leading SCI-indexed journals. His paper in the IEEE Transactions on Intelligent Transportation Systems, titled “A Training-Free, Lightweight Global Image Descriptor for Long-Term Visual Place Recognition Toward Autonomous Vehicles”, has been particularly well-received and is ranked in Q1. Additional works in IEEE Robotics and Automation Letters have been ranked in Q2, highlighting his innovations such as MixVPR++ and Efficient Saliency Encoding. Furthermore, Jiwei’s presence has been notable at world-class conferences like ICPR, ICRA, and IROS, where he presented his work to a global audience of peers and experts. He also holds several patents, including an invention patent, and continues to submit further manuscripts to top-tier venues.

🌍 Impact and Influence

Jiwei’s research has had a significant influence on the future of intelligent transportation and autonomous systems. His development of training-free VPR models has contributed to making autonomous navigation more scalable and cost-effective, especially in dynamic environments where traditional AI systems fail. His proposed methods are not only academically rigorous but are also computationally efficient, paving the way for real-world deployment. Through his innovation and academic collaborations, he has helped bridge the gap between theoretical AI models and practical engineering applications, which is vital for industries moving toward Industry 4.0 and smart mobility solutions.

🧠 Legacy and Future Contributions

Looking ahead, Jiwei Nie aspires to deepen his research in generalized large AI models, expanding the scalability and generalization abilities of pattern recognition systems across domains beyond transportation—such as smart surveillance, industrial robotics, and medical imaging. His planned future publications and continued patent filings reflect a strong ambition to lead the next generation of intelligent systems research. Jiwei is committed to fostering innovation that aligns with both academic excellence and societal needs, aiming to establish himself as a pioneering researcher and mentor in the evolving field of intelligent detection and AI integration.

🔬 Vision in AI and Control Engineering

Jiwei Nie stands as a rising expert in the convergence of Artificial Intelligence, Control Science, and Robotic Vision, a field essential for the future of smart systems and automation. His deep technical knowledge, coupled with a strategic vision, positions him to contribute not only as a researcher but also as a thought leader in AI-driven engineering. With a career rooted in innovation and societal benefit, his trajectory points toward a legacy of breakthroughs that will influence smart cities, autonomous systems, and global AI research landscapes for years to come.

Publication

  • Title: A survey of extrinsic parameters calibration techniques for autonomous devices
    Authors: J Nie, F Pan, D Xue, L Luo
    Year: 2021

 

  • Title: A training-free, lightweight global image descriptor for long-term visual place recognition toward autonomous vehicles
    Authors: J Nie, JM Feng, D Xue, F Pan, W Liu, J Hu, S Cheng
    Year: 2023

 

  • Title: Forest: A lightweight semantic image descriptor for robust visual place recognition
    Authors: P Hou, J Chen, J Nie, Y Liu, J Zhao
    Year: 2022

 

  • Title: A novel image descriptor with aggregated semantic skeleton representation for long-term visual place recognition
    Authors: J Nie, JM Feng, D Xue, F Pan, W Liu, J Hu, S Cheng
    Year: 2022

 

  • Title: Efficient saliency encoding for visual place recognition: Introducing the lightweight pooling-centric saliency-aware VPR method
    Authors: J Nie, D Xue, F Pan, Z Ning, W Liu, J Hu, S Cheng
    Year: 2024

 

  • Title: 3D semantic scene completion and occupancy prediction for autonomous driving: A survey
    Authors: G Xu, W Liu, Z Ning, Q Zhao, S Cheng, J Nie
    Year: 2023

 

  • Title: A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition
    Authors: N Jiwei, F Joe-Mei, X Dingyu, P Feng, L Wei, H Jun, C Shuai
    Year: 2022

 

  • Title: Optic Disc and Fovea Localization based on Anatomical Constraints and Heatmaps Regression
    Authors: L Luo, F Pan, D Xue, X Feng, J Nie
    Year: 2021

 

  • Title: A Novel Fractional-Order Discrete Grey Model with Initial Condition Optimization and Its Application
    Authors: Y Liu, F Pan, D Xue, J Nie
    Year: 2021

 

  • Title: EPSA-VPR: A lightweight visual place recognition method with an Efficient Patch Saliency-weighted Aggregator
    Authors: J Nie, Q Zhào, D Xue, F Pan, W Liu
    Year: 2025

 

🔚 Conclusion

With a solid foundation in engineering and control systems and an innovative mindset in artificial intelligence, Jiwei Nie is poised to become a key figure in the evolution of intelligent automation technologies. His work contributes not only to academic theory but also to practical applications that influence the development of autonomous vehicles, intelligent detection systems, and large AI model architectures. As he approaches the completion of his Ph.D. in early 2025, Jiwei is expected to continue pushing technological boundaries, inspiring future advancements in AI research and real-world intelligent systems deployment.

Jin Yong Hong | Behavioral Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Jin Yong Hong | Behavioral Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Jin Yong Hong,  Yonsei University Wonju College of Medicine,  South Korea.

Dr. Jin Yong Hong, MD, PhD, is a distinguished neurologist and academic leader with a career grounded in excellence, innovation, and service. Beginning his medical education at Yonsei University, he steadily advanced through rigorous academic and clinical pathways to become an Associate Professor at Yonsei University Wonju College of Medicine. His focused expertise in movement disorders and dementia, enriched by both national and international research experience, especially at the University of Pennsylvania, highlights his dedication to solving complex neurological diseases. Through teaching, research, and clinical practice, he has significantly contributed to the growth of neuroscience and medical education in South Korea.

 

Profile

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🎓 Early Academic Pursuits

Dr. Jin Yong Hong embarked on his journey in medicine with a deep commitment to academic excellence, beginning with his premedical studies at Yonsei University in Seoul from 2001 to 2003. He swiftly advanced through the rigorous medical curriculum, earning a Bachelor of Medical Science in 2007. Not content with just clinical practice, he pursued higher education with a Master of Medical Science completed in 2014 and culminated his scholarly journey with a Doctorate in Medical Science from the same esteemed institution in 2021. His academic path reflects a relentless pursuit of knowledge in the neurological sciences and a strong foundation in research methodology and clinical application.

🧠 Professional Endeavors in Neurology

Following his graduation, Dr. Hong immersed himself in hands-on clinical training, beginning with an internship and residency in Neurology at the renowned Severance Hospital of the Yonsei University Health System. This period, from 2007 to 2012, was marked by rigorous clinical immersion and specialization. His passion for neuroscience led him to pursue subspecialty training in Movement Disorders and Dementia, completing both clinical and research fellowships. Notably, he expanded his research exposure internationally through a postdoctoral fellowship at the University of Pennsylvania in the United States from 2022 to 2024, further enriching his expertise in neurodegenerative pathology and laboratory medicine.

🔬 Contributions and Research Focus

Dr. Hong’s research has consistently revolved around movement disorders and dementia, placing him at the forefront of understanding neurodegenerative diseases. His clinical experience, paired with extensive research work in both Korea and the United States, underscores his commitment to unraveling the complexities of disorders like Parkinson’s disease, Alzheimer’s disease, and related cognitive impairments. His interdisciplinary approach bridges clinical neurology with translational science, contributing significantly to advancing diagnostic and therapeutic strategies in the field.

🏥 Academic Leadership and Teaching

As an Associate Professor at the Department of Neurology, Yonsei University Wonju College of Medicine, Dr. Hong plays a vital role in shaping the next generation of neurologists. Since 2016, he has not only led clinical initiatives but also mentored students and junior faculty. His previous tenure as a Clinical Assistant Professor from 2014 to 2016 helped lay the groundwork for a collaborative and research-driven academic environment at the Wonju Severance Christian Hospital. His academic roles have helped blend clinical excellence with cutting-edge research in one of Korea’s premier medical institutions.

🏅 Accolades and Recognition

Dr. Hong’s excellence has been consistently recognized by peers and institutions alike. In 2014, he received the Academic Award for Highest Achievement from Yonsei University College of Medicine, marking him as a top-tier scholar among his peers. The same year, he was awarded a Fellowship by the Korean Movement Disorder Society, acknowledging his promising contributions to the field. Further cementing his role as a leading voice in neurological research, he was honored in 2021 with the JMD Article Award, reflecting the impact and relevance of his scholarly publications.

🌍 Impact and Influence in Neurological Science

With active memberships in the Korean Neurological Association, the Korean Movement Disorder Society, and the Korean Dementia Association, Dr. Hong maintains an influential presence within the scientific community. His cross-continental experience, especially through his postdoctoral work in the United States, has positioned him as a bridge between Eastern and Western neurological research paradigms. His publications and ongoing collaborations continue to influence both clinical practice and academic discourse, especially in the diagnosis and management of neurodegenerative conditions.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Jin Yong Hong is poised to continue making groundbreaking contributions in the field of neurology. With a career marked by academic distinction, clinical expertise, and research innovation, he represents a model of holistic excellence in medicine. His future work is likely to delve deeper into translational neuroscience, aiming to develop practical solutions for patients suffering from movement and cognitive disorders. As a mentor, researcher, and clinician, Dr. Hong is building a legacy that will inspire and influence the medical community for years to come.

Publication

  • Neuroanatomical substrates of visual hallucinations in patients with non-demented Parkinson’s disease
    S Shin, JE Lee, JY Hong, MK Sunwoo, YH Sohn, PH Lee
    2012

 

  • Presynaptic dopamine depletion predicts levodopa-induced dyskinesia in de novo Parkinson disease
    JY Hong, JS Oh, I Lee, MK Sunwoo, JH Ham, JE Lee, YH Sohn, JS Kim, …
    2014

 

  • The MMSE and MoCA for screening cognitive impairment in less educated patients with Parkinson’s disease
    JI Kim, MK Sunwoo, YH Sohn, PH Lee, JY Hong
    2016

 

  • The burden of white matter hyperintensities is a predictor of progressive mild cognitive impairment in patients with Parkinson’s disease
    MK Sunwoo, S Jeon, JH Ham, JY Hong, JE Lee, JM Lee, YH Sohn, …
    2014

 

  • Cerebral microbleeds in patients with Parkinson’s disease
    JH Ham, H Yi, MK Sunwoo, JY Hong, YH Sohn, PH Lee
    2014

 

  • Subjective cognitive decline predicts future deterioration in cognitively normal patients with Parkinson’s disease
    JY Hong, MK Sunwoo, SJ Chung, JH Ham, JE Lee, YH Sohn, PH Lee
    2014

 

  • Clinical and biomarker characteristics according to clinical spectrum of Alzheimer’s disease (AD) in the validation cohort of Korean Brain Aging Study for the Early Diagnosis …
    J Hwang, JH Jeong, SJ Yoon, KW Park, EJ Kim, B Yoon, JW Jang, HJ Kim, …
    2019

 

  • Subjective cognitive complaints and objective cognitive impairment in Parkinson’s disease
    JY Hong, Y Lee, MK Sunwoo, YH Sohn, PH Lee
    2018

 

  • Neurocognitive and atrophic patterns in Parkinson’s disease based on subjective memory complaints
    JY Hong, JE Lee, YH Sohn, PH Lee
    2012

 

  • Telomere shortening reflecting physical aging is associated with cognitive decline and dementia conversion in mild cognitive impairment due to Alzheimer’s disease
    SH Koh, SH Choi, JH Jeong, JW Jang, KW Park, EJ Kim, HJ Kim, JY Hong, …
    2020

 

🧾 Conclusion

Dr. Hong’s journey illustrates the profound impact one dedicated individual can make within the scientific and medical communities. His legacy is already evident in his scholarly achievements, the students he mentors, and the patients he serves. As he continues to advance the understanding and treatment of neurological conditions, Dr. Hong remains a beacon of academic integrity, scientific rigor, and compassionate care. His future promises continued breakthroughs that will shape the field of neurology and bring hope to countless lives affected by neurodegenerative disorders.

Tahereh Momeni Isfahani | Neuroscience & Education | Best Researcher Award

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Assoc. Prof. Dr. Tahereh Momeni Isfahani | Neuroscience & Education | Best Researcher Award

Assoc. Prof. Dr. Tahereh Momeni Isfahani,  Ar.C.,Arak Branch, Islamic Azad University,  Iran.

Dr. Taherh Momeni Isfahani is a distinguished chemist and academic affiliated with the Islamic Azad University, Arak Branch. Her academic journey is rooted in Iran’s top institutions, where she earned her B.Sc., M.Sc., and Ph.D. in Chemistry. Her research focuses on the development of advanced electrochemical sensors, with a strong emphasis on medical and environmental applications. Her recent work, involving a novel pencil graphite electrode electrospun with Poly-Sudan Black-B for dopamine analysis, has garnered significant recognition and was provisionally nominated for the Best Researcher Award. In addition to her active research output, she contributes to the scientific community as a faculty member and mentor, fostering innovation and academic excellence within her field.

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🎓 Early Academic Pursuits

Dr. Taherh Momeni Isfahani’s academic journey began with a strong foundation in chemistry, which she pursued with unwavering dedication at the Islamic Azad University of Arak, Iran. Her passion for analytical chemistry was evident from her undergraduate years, and she continued to build on that foundation with a Master’s degree from the University of Isfahan, where she worked on the development of an optical sensor for nickel (II) ion detection. Her intellectual curiosity and academic discipline culminated in a Ph.D. in Chemistry from her alma mater in Arak, where she focused on advanced spectrophotometric techniques and chemometric methods for the simultaneous determination of cations and equilibrium studies.

🧪 Professional Endeavors

Dr. Momeni currently serves as a member of the Science Committee at the Arak Branch of the Islamic Azad University, where she contributes both as a researcher and academic. Her professional role reflects a balance between teaching, research, and academic leadership. With deep expertise in analytical chemistry and instrumentation, she plays a pivotal role in guiding students and contributing to the scientific community through her research initiatives. Her involvement in the academic landscape of Iran has enriched the scientific discourse within her institution and beyond.

🔬 Contributions and Research Focus

A core focus of Dr. Momeni’s work lies in electrochemical sensing and analytical techniques, particularly for biomedical applications. Her research includes the fabrication of electrochemical sensors, development of polymeric membrane-based sensors, and exploration of chemometric methods in chemical analysis. In her most recent study, she designed a sensitive electrochemical sensor using a pencil graphite electrode electrospun with poly-Sudan Black-B, aimed at detecting dopamine in plasma samples—a critical advancement in bioanalytical chemistry. Her work stands at the intersection of innovation and application, addressing real-world challenges in medical diagnostics and environmental monitoring.

🏅 Accolades and Recognition

Dr. Momeni’s recent publication in the Journal of Cluster Science (2025) has garnered recognition and was provisionally nominated for the prestigious ‘Best Researcher Award’. This acknowledgment highlights the scientific merit and practical value of her research. It serves as a testament to her perseverance and commitment to pushing the boundaries of sensor development in analytical chemistry. Her growing list of publications reflects both depth and relevance in her chosen field.

🌍 Impact and Influence

Through her contributions, Dr. Momeni has significantly influenced the field of analytical chemistry within the academic and applied research settings in Iran. Her work has not only advanced sensor technologies but also impacted how chemical analysis is approached in complex biological and environmental systems. By designing cost-effective and accessible sensing platforms, she paves the way for more accurate and affordable diagnostic tools, especially in regions with limited access to high-end technology.

👩‍🔬 Legacy and Future Contributions

Dr. Momeni’s research legacy is rooted in her dedication to solving practical problems through precise scientific inquiry. As she continues to explore advanced materials and electrode technologies, her future work promises to delve deeper into biosensor innovation and multi-ion detection systems. Her mentorship of young scientists and contributions to curriculum development ensure that her impact extends beyond the lab, inspiring the next generation of chemists and researchers.

Publication

  • Spectrophotometric determination of mercury in water samples after cloud point extraction using nonionic surfactant Triton X-114 – A Niazi, T Momeni-Isfahani, Z Ahmari – 2009

 

  • Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic – SG Nasab, A Semnani, A Teimouri, MJ Yazd, TM Isfahani, S Habibollahi – 2019

 

  • Removal of Congo red from aqueous solution by hydroxyapatite nanoparticles loaded on zein as an efficient and green adsorbent: response surface methodology and artificial – S Ghanavati Nasab, A Semnani, A Teimouri, H Kahkesh, … – 2018

 

  • Development of an optical chemical sensor based on 2-(5-bromo-2-pyridylazo)-5-(diethylamino) phenol in Nafion for determination of nickel ion – MK Amini, T Momeni-Isfahani, JH Khorasani, M Pourhossein – 2004

 

  • Prediction of oral acute toxicity of organophosphates using QSAR methods – M Kianpour, E Mohammadinasab, TM Isfahani – 2021

 

  • Spectrophotometric determination of acidity constants of 2-(2-Thiazolylazo)-Cresol in various water–organic solvent media mixtures using chemometrics methods – T Momeni-Isfahani, A Niazi – 2014

 

  • Superparamagnetic core‐shell metal–organic framework Fe3O4@Ni‐MOF as efficient catalyst for oxidation of 1,4‐dihydropyridines using hydrogen peroxide – M Janani, MA Senejani, TM Isfahani – 2021

 

  • Hofmann N‐alkylation of aniline derivatives with alcohols using ferric perchlorate immobilized on SiO2 as a catalyst through Box–Behnken experimental design – M Ghanimati, M Abdoli Senejani, TM Isfahani, MA Bodaghifard – 2018

 

  • Quantitative Structure-Property Relationship (QSPR) investigation of camptothecin drugs derivatives – N Ahmadinejad, F Shafiei, TM Isfahani – 2018

 

  • Application of robust syringe-to-syringe dispersive liquid-phase microextraction method for preconcentration and determination of mercury with the aid of an experimental design – M Hayati, M Ramezani, G Rezanejade Bardajee, T Momeni Isfahani – 2022

 

✅ Conclusion

Dr. Taherh Momeni Isfahani exemplifies the qualities of a dedicated and innovative researcher. Her consistent focus on solving real-world problems through advanced sensor technologies, coupled with her academic contributions and recent recognition at an international level, makes her an ideal candidate for the Best Researcher Award. Her work not only advances the field of analytical chemistry but also inspires future research aimed at practical, impactful solutions in healthcare and environmental monitoring. With her strong academic foundation, innovative mindset, and growing influence, Dr. Momeni is poised to continue making meaningful contributions to science and society.

Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

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Dr. Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

Dr. Ali Mehri Babol, Noshirvani University of Technology, Iran.

Dr. Ali Mehri is a prominent physicist whose academic journey has bridged the fields of solid-state physics, data science, and complex systems. With a Ph.D. in Solid State Physics from the University of Zanjan, his research explores novel interdisciplinary areas such as text mining, complex networks, and thermal and electronic transport in nanostructures. His work, particularly in the application of physical principles to data mining and linguistic studies, has significantly contributed to both theoretical and applied physics. Additionally, his research on the statistical properties of irrational numbers and the connection between Zipf’s exponent and language distribution has broadened the scope of complex systems analysis.

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Early Academic Pursuits 🎓

Dr. Ali Mehri began his academic journey in physics with a focus on solid-state physics. He completed his Bachelor’s degree in Solid State Physics at Kharazmi University in Tehran, Iran, in 2002. His passion for condensed matter physics led him to pursue a Master’s degree at the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, where he focused on colloidal monolayers in the presence of periodic light fields. Under the guidance of Professor Mir Faez Miri, he laid the foundation for his future research. In 2008, Dr. Mehri earned his Ph.D. in Solid State Physics from the University of Zanjan, where he studied the role of entropy in text mining under the supervision of Professor Amir Hossein Darooneh. This pivotal research provided him with a unique perspective that blends physics with data science.

Professional Endeavors 💼

After completing his education, Dr. Mehri embarked on a career in academia, where he has established himself as a dedicated educator and researcher. He currently serves as a faculty member at the Department of Physics, Babol Noshirvani University of Technology. His professional journey is marked by his deep involvement in research, teaching, and mentoring students, particularly in the fields of data and text mining, complex networks theory, and nanostructures. Over the years, he has collaborated with various national and international researchers, enhancing the global visibility of his work in these specialized areas of study.

Contributions and Research Focus 🔬

Dr. Mehri’s research interests lie at the intersection of physics and data science. His work on text mining using the Hurst exponent is a significant contribution to the emerging field of applying physical principles to analyze textual data. He has also explored the intriguing topic of irrational numbers by studying statistical distances to determine the order of digits. Furthermore, Dr. Mehri’s research extends to the correlation between Zipf’s exponent and the geographical distribution of human languages, which connects his expertise in complex networks theory with linguistics. His exploration of thermal and electronic transport in nanostructures adds a solid foundation to his contributions in condensed matter physics.

Accolades and Recognition 🏅

Throughout his academic career, Dr. Ali Mehri has received numerous accolades for his research contributions. His work, particularly in data mining and complex networks, has earned him recognition both in Iran and internationally. Dr. Mehri’s research has been cited in various scientific journals, showcasing the relevance and impact of his work in advancing knowledge within his fields. His academic achievements have solidified his reputation as a forward-thinking physicist who bridges the gap between theoretical and applied sciences.

Impact and Influence 🌍

Dr. Mehri’s work has had a profound impact on various scientific communities, particularly in the fields of data mining, complex networks, and nanostructures. By introducing concepts like the Hurst exponent to text mining and exploring the relationships between statistical distances and irrational numbers, his research has influenced not only physics but also the interdisciplinary applications of data science. His contributions to understanding the connection between language distribution and Zipf’s law have opened new avenues for researchers in both physics and linguistics, highlighting the diverse impact of his work across disciplines.

Legacy and Future Contributions 🕰️

As Dr. Mehri continues to push the boundaries of research, his legacy will be defined by his ability to merge complex concepts from physics with innovative methodologies from data science. His future contributions are expected to further enhance the understanding of nanostructures, electronic transport, and complex systems. Moreover, his pioneering work in text mining and the analysis of irrational numbers has the potential to lead to groundbreaking advancements in computational physics and data analytics. As his research evolves, Dr. Mehri’s work will undoubtedly inspire future generations of physicists and data scientists, reinforcing his lasting influence in these fields.

Publication

  • Title: The complex networks approach for authorship attribution of books
    Authors: A Mehri, AH Darooneh, A Shariati
    Year: 2012

 

  • Title: Variation of Zipf’s exponent in one hundred live languages: A study of the Holy Bible translations
    Authors: A Mehri, M Jamaati
    Year: 2017

 

  • Title: A nonextensive modification of the Gutenberg–Richter law: q-stretched exponential form
    Authors: AH Darooneh, A Mehri
    Year: 2010

 

  • Title: Word ranking in a single document by Jensen–Shannon divergence
    Authors: A Mehri, M Jamaati, H Mehri
    Year: 2015

 

  • Title: The role of entropy in word ranking
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Keyword extraction by nonextensivity measure
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Tsallis entropy, escort probability and the incomplete information theory
    Authors: AH Darooneh, G Naeimi, A Mehri, P Sadeghi
    Year: 2010

 

  • Title: Text mining by Tsallis entropy
    Authors: M Jamaati, A Mehri
    Year: 2018

 

  • Title: Power-law regularities in human language
    Authors: A Mehri, SM Lashkari
    Year: 2016

 

  • Title: Non-extensive distribution of human eye photoreceptors
    Authors: A Mehri
    Year: 2017

 

Conclusion

Dr. Mehri’s professional career, marked by teaching and research at Babol Noshirvani University of Technology, has earned him national and international recognition. His research continues to influence fields as diverse as data science, linguistics, and condensed matter physics. Looking ahead, his work promises to advance the understanding of nanostructures and foster the further integration of physics with computational and data sciences. Dr. Mehri’s legacy will likely continue to inspire future generations of scientists, underscoring the importance of interdisciplinary collaboration in driving scientific progress.