Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

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Assoc. Prof. Dr.Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Edris Hoseinzadeh | Saveh University of Medical Sciences | Iran

Dr. Edris Hoseinzadeh is an Associate Professor of Environmental Health Engineering at Saveh University of Medical Sciences, Iran. He is a highly accomplished environmental health engineer recognized for his innovative research on sustainable solutions for water and wastewater treatment, air pollution control, and waste valorization. His scientific expertise spans advanced oxidation processes, electrochemical systems, nanotechnology applications, and the integration of artificial intelligence in smart remediation technologies. Dr. Hoseinzadeh has authored over 90 research papers, holds multiple patents, and has achieved an h-index of 18 with more than 2,500 citations, reflecting his significant impact in the field. His work addresses critical global challenges such as emerging contaminants, pharmaceutical pollutants, microplastics, and antibiotic-resistant genes, with a focus on resource recovery and circular economy principles. As Head of the Department of Environmental Health Engineering at Saveh University, he has also demonstrated strong leadership and academic mentorship, guiding over 15 graduate theses and serving as Founder and Editor-in-Chief of the HOZAN Journal of Environmental Sciences. Dr. Hoseinzadeh’s research combines scientific rigor with practical innovation, contributing to the advancement of environmental sustainability and public health protection.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

(2025). Factors influencing source separation intention for improving waste management in educational places: A case study for a university campus. International Journal of Environmental Health Engineering.

 (2024). Microplastics contamination in popular soft drinks and non-alcoholic beverages marketed in Iran: Quantity and characteristics. Results in Engineering.

 (2024). Soil pollution indices and health risk assessment of metal(loid)s in the agricultural soil of pistachio orchards. Scientific Reports.

 (2024). Treatment of real carwash wastewater using high-efficiency and energy-saving electrocoagulation technique. Sustainable Chemistry and Pharmacy.

(2024). Water recovery and treatment of spent filter backwash from drinking water using chemical reactor–ultrafiltration process. Journal of Water Process Engineering.

(2024). Utilization of local corn (Zea mays) wastes for bioethanol production by separate hydrolysis and fermentation. Journal of Hazardous Materials Advances.

Wilfred Angie Abia | Developmental Neuroscience | Best Researcher Award

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Dr. Wilfred Angie Abia | Developmental Neuroscience | Best Researcher Award

Dr. Wilfred Angie Abia |  University of Yaounde 1 | Cameroon

Wilfred Angie Abia is an accomplished biochemist and food safety toxicologist whose career bridges Africa and Europe through impactful teaching, research, and international collaborations. His academic foundation in medical biochemistry, nutrition, and toxicology has evolved into a distinguished career specializing in food contaminants, mycotoxin biomonitoring, fraud detection, and risk assessment. He has held influential postdoctoral and leadership positions in projects addressing agri-food safety and consumer health protection. His contributions span mycotoxicology, food fraud prevention, One Health research, and climate-related food safety challenges. Beyond research, he plays an important role as a senior lecturer and mentor, advancing both academic excellence and professional training in food safety.

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Orcid
Scopus

Early Academic Pursuits

Wilfred Angie Abia began his academic journey with a strong foundation in biochemistry, focusing on medical laboratory technology, nutritional sciences, and food safety. His doctoral studies at the University of Yaoundé I provided him with advanced expertise in food contaminants, safety, and biomonitoring of multimycotoxin exposures. His early academic years were marked by interdisciplinary training that connected biochemistry, nutrition, toxicology, and public health, setting the stage for his specialized career in agri-food safety and toxicology.

Professional Endeavors

His professional career spans teaching, research, and project management across multiple institutions and international collaborations. He has held postdoctoral fellowships and senior research positions in Africa, Europe, and the United Kingdom, where he advanced projects on food safety, toxicology, and fraud detection. His work at Queen’s University Belfast included leadership roles in large-scale European initiatives, where he served as both a researcher and project manager. As a Senior Lecturer of Biochemistry and Food Safety/Toxicology at the University of Yaoundé I, he combines teaching, mentorship, and research with program coordination responsibilities, shaping the next generation of food safety professionals.

Contributions and Research Focus

Abia’s research focuses on food contaminants, safety, and human health with a special emphasis on mycotoxicology. He has pioneered studies in exposure assessment, biomarker development, and human biomonitoring, particularly in vulnerable populations. His work extends to food integrity, authenticity, fraud detection, and traceability, ensuring consumer health protection. He has contributed significantly to toxicological risk assessments of chemicals in food, drugs, and the environment, while also addressing broader themes such as climate change, food security, and the One Health approach. His unique contributions include research into the neurotoxicology of mycotoxins, highlighting the intersection of food safety and neuroscience.

Accolades and Recognition

Throughout his career, Abia has been recognized through prestigious international research fellowships and visiting scholar positions in leading research centers across Europe and Africa. His involvement in high-impact projects such as MycoMarker and FoodSafer underscores his leadership in global food safety initiatives. His achievements are further strengthened by professional certifications, including specialized training in food fraud prevention, which demonstrate his commitment to continuous professional growth and excellence in his field.

Impact and Influence

His work has had a profound impact on advancing food safety research, shaping policies, and protecting public health. By bridging biochemistry with toxicology, agri-food safety, and environmental sciences, he has influenced how food contaminants and fraud are detected and managed. His role as a lecturer and mentor ensures that his expertise is transmitted to students and young researchers who will continue to advance the field. His contributions also extend to policy and science diplomacy, where he actively promotes interdisciplinary collaboration for sustainable solutions in food and health security.

Legacy and Future Contributions

Abia’s legacy lies in his dedication to safeguarding food systems, advancing toxicological research, and promoting interdisciplinary approaches that connect human, animal, and environmental health. His work in mycotoxin biomonitoring and neurotoxicology offers critical insights into the hidden health risks of food contamination. Looking ahead, his future contributions are likely to expand in areas of food fraud prevention, climate-smart agriculture, and One Health frameworks, ensuring resilient food systems for global populations. His combination of research excellence, teaching, and science diplomacy positions him as a thought leader in shaping the future of food safety and toxicology.

Publications

  • Title: Determination of multi-mycotoxin occurrence in cereals, nuts and their products in Cameroon by liquid chromatography tandem mass spectrometry (LC-MS/MS)
    Authors: WA Abia, B Warth, M Sulyok, R Krska, AN Tchana, PB Njobeh, MF Dutton, …
    Year: 2013

  • Title: Mycotoxin exposure in rural residents in northern Nigeria: A pilot study using multi-urinary biomarkers
    Authors: CN Ezekiel, B Warth, IM Ogara, WA Abia, VC Ezekiel, J Atehnkeng, …
    Year: 2014

  • Title: Development and validation of a rapid multi‐biomarker liquid chromatography/tandem mass spectrometry method to assess human exposure to mycotoxins
    Authors: B Warth, M Sulyok, P Fruhmann, H Mikula, F Berthiller, R Schuhmacher, …
    Year: 2012

  • Title: Bio-monitoring of mycotoxin exposure in Cameroon using a urinary multi-biomarker approach
    Authors: WA Abia, B Warth, M Sulyok, R Krska, A Tchana, PB Njobeh, PC Turner, …
    Year: 2013

  • Title: Ultra-sensitive, stable isotope assisted quantification of multiple urinary mycotoxin exposure biomarkers
    Authors: B Šarkanj, CN Ezekiel, PC Turner, WA Abia, M Rychlik, R Krska, M Sulyok, …
    Year: 2018

  • Title: Low doses of mycotoxin mixtures below EU regulatory limits can negatively affect the performance of broiler chickens: A longitudinal study
    Authors: O Kolawole, A Graham, C Donaldson, B Owens, WA Abia, J Meneely, …
    Year: 2020

  • Title: Urinary analysis reveals high deoxynivalenol exposure in pregnant women from Croatia
    Authors: B Šarkanj, B Warth, S Uhlig, WA Abia, M Sulyok, T Klapec, R Krska, …
    Year: 2013

Conclusion

Wilfred Angie Abia’s work exemplifies a rare integration of scientific expertise, international leadership, and educational impact. His contributions to food safety, toxicology, and agri-food research not only safeguard public health but also strengthen global food systems. With his continued focus on innovation, interdisciplinary approaches, and capacity building, he stands as a key figure in shaping the future of food safety science and policy worldwide.

Rania Awadi | Developmental Neuroscience | Best Researcher Award

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Dr. Rania Awadi | Developmental Neuroscience | Best Researcher Award

Dr. Rania Awadi |  Higher Institute of Medical Technologies of Tunis | Tunisia

Dr. Rania Awadi is a biophysics and medical imaging researcher whose work centers on cardiac biomechanics and non-invasive diagnostic techniques. With a PhD in biophysics and medical imaging, she has conducted advanced studies on left ventricle biomechanics using finite element modelling and gained international experience through research internships in France and collaborations with leading medical institutions in Tunisia. Her research expertise lies in cardiovascular MRI, image processing, and myocardial strain assessment, particularly in pediatric populations where diagnostic challenges are more pronounced. Among her significant contributions is a study on Duchenne Muscular Dystrophy, where she applied cardiac MRI feature tracking to identify early subclinical myocardial dysfunction without contrast agents, an advancement with meaningful clinical impact.

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Early Academic Pursuits

From the outset of her academic journey, Dr. Rania Awadi cultivated a strong foundation in biophysics, medical physics, and medical imaging. Her doctoral studies at the Higher Institute of Medical Technologies of Tunis were marked by a deep focus on the biomechanics of the left ventricle, where she applied finite element modelling to explore complex cardiac dynamics. Early research internships at prestigious institutions such as IMT Atlantique in France and Sorbonne University enriched her academic profile, enabling her to refine her expertise in advanced imaging and computational modelling techniques.

Professional Endeavors

Building upon her academic training, Dr. Awadi advanced into professional roles that merged teaching and research. She joined the Higher Institute of Medical Technologies of Tunis as a lecturer in biomechanics, where she has contributed to shaping future professionals in medical physics and imaging. Her work also extended to clinical collaborations, including her involvement with the Principal Military Hospital of Tunis and Monji Ben Hmida Center, emphasizing translational research that bridges scientific innovation with patient care.

Contributions and Research Focus

Dr. Awadi’s contributions to medical science are anchored in cardiovascular imaging and cardiac biomechanics. Her expertise lies in cardiac magnetic resonance imaging, image processing, and computational modelling, with a particular focus on assessing myocardial strain. She has addressed the unique challenges of pediatric populations, where smaller heart sizes, higher heart rates, and variability in strain demand precise methodologies. Her research has sought to make early diagnosis more accessible and reliable, especially in vulnerable groups affected by genetic and muscular disorders.

Pioneering Research on Duchenne Muscular Dystrophy

Among her notable achievements, Dr. Awadi conducted a pioneering study on myocardial strain assessment for early diagnosis of Duchenne Muscular Dystrophy in pediatric patients using cardiac MRI. Through the application of feature tracking techniques, she demonstrated the feasibility of detecting subclinical myocardial dysfunction without the use of contrast agents, reducing risks in younger patients. Her findings, published in Applied Sciences, underscored significant associations between myocardial strain parameters and structural cardiac changes, providing a non-invasive tool for monitoring disease progression in affected children.

Accolades and Recognition

Dr. Awadi’s scholarly contributions have been recognized in the international research community through publication in high-impact journals. Her work in Applied Sciences has strengthened her standing as an emerging researcher in cardiac imaging and biomechanics. Her collaborations with European and Tunisian research institutions reflect her growing reputation as a scientist capable of fostering cross-border innovation in medical imaging and biomechanics.

Impact and Influence

The impact of Dr. Awadi’s research extends beyond academic recognition to meaningful influence on clinical practices. By offering new insights into myocardial strain assessment, she has contributed to refining diagnostic approaches for conditions like Duchenne Muscular Dystrophy, where early intervention can significantly alter outcomes. Her teaching and mentorship also shape a new generation of researchers and clinicians, further amplifying the reach of her work across academia and healthcare.

Legacy and Future Contributions

Looking ahead, Dr. Awadi’s career continues to chart a path of scientific advancement and clinical relevance. With expertise spanning biomechanics, MRI, and computational modelling, she is poised to deepen investigations into cardiac function across diverse patient populations. Her future contributions are expected to expand the frontiers of non-invasive diagnostics, ensuring that her legacy in cardiovascular biomechanics and imaging is defined by both innovation and tangible impact on patient health.

Publications

Numerical study of two microwave antennas dedicated to superficial cancer hyperthermia
N. Benameur, R. Awadi, A. Bouabidi, M.A. Mohammed, M.U. Rehman, … – 2024

A quasi-static biomechanical model of the human myocardium based on Cardiac Magnetic Resonance images
R. Awadi, N. Benameur, T. Kraiem, L. Salam – 2023

Comparison of Left Ventricle Deformation Analysis Using Abaqus and CVi42 Software: Insights from Healthy Subjects and patients with Myocardial Infarction
R. Awadi, N. Benameur, A. Sleimi, L. Salam – 2025

Myocardial Strain Assessment for Early Duchenne Muscular Dystrophy Diagnosis in Pediatric Patients Using Cardiac MRI
R. Awadi, N. Benameur, H. Hafsi, T.B. Younes, Y. Arous, S. Labidi, … – 2024

Left Ventricle Wall Motion Abnormalities Detection in Cardiac MRI
N. Benameur, R. Awadi, R. Mahmoudi, M. Deriche, M. Al Betar – 2023

Finite Element of Biomechanical Model of the Human Myocardium from a Cardiac MRI Images
A. Rania, N. Benameur, T. Kraiem, S. Labidi – 2022

of the Human Myocardium from a Cardiac MRI Images
A. Rania, N. Benameur, T. Kraiem, S. Labidi – 2022

Conclusion

Dr. Awadi’s career reflects a blend of academic rigor, professional dedication, and innovative research that addresses pressing clinical needs in pediatric cardiology. Her work has advanced the understanding of myocardial strain assessment, offering tools that improve early diagnosis and patient care. Through her teaching, collaborations, and published research, she has established herself as a promising figure in cardiac imaging and biomechanics. Looking forward, her contributions are set to further bridge the gap between research and clinical application, reinforcing her role as a driving force in the development of non-invasive diagnostic technologies.

Aiying Zhang | Computational Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Aiying Zhang | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Aiying Zhang, University of Virginia, United States.

Dr. Aiying Zhang is a rising scholar in the field of mental health data science, currently serving as an Assistant Professor at the University of Virginia and a Faculty Member at the UVA Brain Institute. Her academic foundation spans statistics, biomedical engineering, and clinical biostatistics, acquired from esteemed institutions including USTC, Tulane University, and Columbia University. Her research focuses on developing advanced computational and statistical tools—such as graphical models and multimodal fusion—to decode complex brain data from imaging and genetics. She applies these innovations to better understand and predict psychiatric conditions such as schizophrenia and Alzheimer’s disease. Her work is distinguished by its interdisciplinary nature, translational relevance, and potential to reshape clinical approaches to mental health.

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🎓 Early Academic Pursuits

Aiying Zhang’s journey into the realm of data science and mental health research began with a strong foundation in quantitative sciences. She earned her Bachelor of Science degree in Statistics from the prestigious School for the Gifted Young at the University of Science and Technology of China (USTC) in 2014. Driven by a passion for biomedical innovation and its intersection with human health, she pursued a Ph.D. in Biomedical Engineering from Tulane University, which she completed in 2021. Her graduate years were marked by deep inquiry into statistical modeling and neuroimaging, laying the groundwork for her later interdisciplinary research. She further honed her expertise through postdoctoral training in Clinical Biostatistics and Psychiatry at Columbia University Irving Medical Center, where she blended statistical rigor with clinical insight.

💼 Professional Endeavors

Dr. Zhang is currently an Assistant Professor of Data Science at the University of Virginia, where she has been on the tenure-track faculty since August 2023. She also holds a concurrent position as a Faculty Member at the UVA Brain Institute, underscoring her active role in advancing brain research across institutional boundaries. Prior to her academic appointment at UVA, she served as a Research Scientist II at the New York State Psychiatric Institute, contributing to high-impact psychiatric research. Her professional journey also includes research assistantships at Tulane University and the University of Florida, roles in which she cultivated strong collaborative and translational research skills.

🧠 Contributions and Research Focus

Dr. Zhang’s research lies at the intersection of data science, neuroscience, and mental health. She specializes in developing advanced statistical and computational methodologies to investigate the biological underpinnings of psychiatric and neurodevelopmental disorders. Her work prominently features the use of graphical models—both directed and undirected—and machine learning techniques to analyze complex datasets, such as MRI, DTI, fMRI, MEG, and various genomic modalities including SNP and DNA methylation. Her research has contributed to a deeper understanding of conditions like schizophrenia, Alzheimer’s disease, obsessive-compulsive disorder, and anxiety disorders, through the lens of multimodal data fusion and integrative neurogenetics.

🧪 Innovation in Mental Health Data Science

A distinctive hallmark of Dr. Zhang’s scholarship is her innovative application of multimodal fusion techniques to disentangle the complexities of typical and atypical brain development. Her work leverages high-dimensional neuroimaging and genetic data to draw meaningful inferences about mental health trajectories. She is particularly focused on building interpretable models that bridge the gap between data and clinical insight, thereby enabling earlier and more precise diagnostics. By combining machine learning with biomedical expertise, her contributions pave the way for next-generation tools in psychiatry and neuroscience.

🏅 Accolades and Recognition

Throughout her academic and professional trajectory, Dr. Zhang has earned widespread respect for her analytical acumen and interdisciplinary collaborations. Her postdoctoral role at Columbia, a hub for clinical psychiatry and biostatistics, positioned her among leaders in the field and enriched her research portfolio with translational applications. Her selection as faculty at a leading institution like UVA further reflects recognition of her scholarly excellence and her potential to drive future innovations in mental health data science.

🌍 Impact and Influence

Dr. Zhang’s work has significant implications for both the scientific community and clinical practice. Her methods empower researchers and clinicians alike to draw meaningful patterns from multimodal datasets, thereby advancing precision psychiatry. Moreover, her collaborative efforts across biomedical engineering, statistics, and clinical disciplines have fostered integrative frameworks that extend beyond academic settings into real-world applications. Her contributions are helping to shape a more data-driven and personalized future in mental health care.

🔮 Legacy and Future Contributions

As she continues her academic journey, Dr. Zhang aims to expand her research frontiers by exploring dynamic brain-behavior associations and improving the interpretability of AI models in clinical contexts. With a commitment to mentorship and open science, she is building a legacy rooted in intellectual rigor, innovation, and societal relevance. Her future contributions are expected to not only deepen our understanding of mental health disorders but also inspire a new generation of data scientists dedicated to neuroscience and human well-being.

Publication

  • Leverage multimodal neuro-imaging and genetics to identify causal relationship between structural and functional connectivity and ADHD with Mendelian randomization
    C Ji, S Lee, S Sequeira, J Jin, A Zhang — 2025

 

  • Integrated brain connectivity analysis with fmri, dti, and smri powered by interpretable graph neural networks
    G Qu, Z Zhou, VD Calhoun, A Zhang, YP Wang — 2025

 

  • Altered hierarchical rank in intrinsic neural time-scales in autism spectrum disorder
    A Solomon, W Yu, J Rasero, A Zhang — 2025

 

  • A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
    Y Zhang, L Wang, KJ Su, A Zhang, H Zhu, X Liu, H Shen, VD Calhoun, … — 2025

 

  • A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders
    W Yu, G Qu, Y Kim, L Xu, A Zhang — 2025

 

  • A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
    A Zhang, G Zhang, B Cai, TW Wilson, JM Stephen, VD Calhoun, YP Wang — 2024

 

  • Exploring hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer’s disease
    A Zhang, K Wengler, X Zhu, G Horga, TE Goldberg, S Lee — 2024

 

  • Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing
    L Sun, A Zhang, F Liang — 2024

 

  • Altered hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer’s disease
    A Zhang, K Wengler, X Zhu, G Horga, TE Goldberg, S Lee, … — 2024

 

  • Associations Between Brain Connectivity and Psychiatric Symptoms in Children: Insights into Adolescent Mental Health
    D Mutu, K Ji, X He, S Lee, S Sequeira, A Zhang — 2024

 

🧾 Conclusion

Dr. Zhang’s journey exemplifies a seamless integration of data science and neuroscience to address pressing mental health challenges. Her innovative use of multimodal data and machine learning not only contributes to scientific advancement but also enhances real-world clinical decision-making. As she continues to pioneer research at the intersection of computation and psychiatry, her influence is poised to grow, shaping the future of precision mental health care and empowering both academia and clinical practice through data-driven insights.