Haiteng Jiang | Mental Disorder | Best Researcher Award

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Dr. Haiteng Jiang | Mental Disorder | Best Researcher Award 

Dr.  Haiteng Jiang, Zhejiang University, China.

Dr. Haiteng Jiang is a distinguished researcher specializing in systems neuroscience, brain-machine intelligence, and mental health screening. With a Ph.D. in Cognitive Artificial Intelligence and extensive postdoctoral experience at Carnegie Mellon University and the University of Minnesota, he integrates brain imaging, genetics, and AI-driven computational modeling to study psychiatric and neurological disorders. Currently, he serves as a Principal Investigator at multiple prestigious institutions, including Zhejiang University and Liangzhu Laboratory. His research focuses on developing AI-based precision subtyping of psychiatric disorders and wearable device-based mental health screening, contributing to advancements in precision medicine.

Profile

Google Scholar

 

🎓 Early Academic Pursuits

Haiteng Jiang began his academic journey with a strong foundation in engineering. He completed his Bachelor of Electrical Engineering and Automation at Nanjing University of Posts and Telecommunication, China. His passion for blending technology with biomedical applications led him to pursue a Master’s degree in Biomedical Engineering at Southeast University, Nanjing. During this period, he developed a keen interest in understanding the intersection of technology and brain science. This enthusiasm guided him to further his education with a PhD in Cognitive Artificial Intelligence from the prestigious Donders Institute for Brain, Cognition and Behaviour at Radboud University, The Netherlands, where he honed his skills in cognitive neuroscience and computational modeling.

💼 Professional Endeavors

Haiteng Jiang’s professional journey is marked by prestigious appointments and groundbreaking research. His postdoctoral fellowships at the University of Minnesota and Carnegie Mellon University provided him with the opportunity to delve deeper into biomedical engineering and systems neuroscience. In 2021, he joined Zhejiang University as an Assistant Professor at the Ministry of Education Frontier Science Center for Brain and Brain-Machine Integration. He concurrently holds Principal Investigator positions at the affiliated Mental Health Center, Liangzhu Laboratory, and the National Key Laboratory of Brain-Machine Intelligence. His multifaceted roles highlight his dedication to advancing brain-machine interfaces and cognitive neuroscience.

🧠 Contributions and Research Focus

Haiteng Jiang’s research is at the forefront of systems neuroscience, seamlessly integrating multimodal brain functional imaging, genetic information, and speech signals. His innovative work combines experimental methodologies, computational modeling, and neural modulation to investigate cognition and brain disorders. A significant portion of his research revolves around mental health screening using wearable device-based methods and large language models. Additionally, his work on precision subtyping of psychiatric disorders through multimodal data aims to revolutionize the diagnosis and treatment of mental health conditions.

🏅 Accolades and Recognition

Throughout his career, Haiteng Jiang has garnered recognition for his pioneering research and contributions to neuroscience. His dedication to the field has earned him several prestigious grants and fellowships. His research findings have been published in high-impact scientific journals, solidifying his reputation as a leading figure in cognitive neuroscience and brain-machine interfaces. His commitment to excellence continues to inspire both peers and aspiring researchers.

🌍 Impact and Influence

Haiteng Jiang’s work has had a profound impact on the scientific community and beyond. His innovative approaches to mental health screening have the potential to transform early diagnosis and intervention for psychiatric disorders. By bridging the gap between neuroscience, artificial intelligence, and genetics, his research paves the way for personalized medicine and precision psychiatry. His influence extends to the next generation of scientists, whom he mentors through his various academic roles.

🔍 Legacy and Future Contributions

Haiteng Jiang’s legacy is one of relentless pursuit of scientific excellence and innovation. His contributions to systems neuroscience and brain-machine integration have set new benchmarks in the field. Moving forward, he aims to further develop AI-driven diagnostic tools and neurotechnologies that can enhance mental health care. His future endeavors promise to shape the landscape of neuroscience and improve the lives of individuals affected by psychiatric and neurological disorders.

 

Publication

 

  • Measuring directionality between neuronal oscillations of different frequencies
    H. Jiang, A. Bahramisharif, M.A.J. van Gerven, O. Jensen (2015)

 

  • Predictability of depression severity based on posterior alpha oscillations
    H. Jiang, T. Popov, P. Jylänki, K. Bi, Z. Yao, Q. Lu, O. Jensen (2016)

 

  • Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources
    Z. Cai, A. Sohrabpour, H. Jiang, S. Ye, B. Joseph, B.H. Brinkmann, G.A. Worrell, et al. (2021)

 

  • Interictal SEEG resting‐state connectivity localizes the seizure onset zone and predicts seizure outcome
    H. Jiang, V. Kokkinos, S. Ye, A. Urban, A. Bagić, M. Richardson, B. He (2022)

 

  • Mindfulness improves brain–computer interface performance by increasing control over neural activity in the alpha band
    J.R. Stieger, S. Engel, H. Jiang, C.C. Cline, M.J. Kreitzer, B. He (2021)

 

  • Structural–functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode
    H. Jiang, R. Zhu, S. Tian, H. Wang, Z. Chen, X. Wang, J. Shao, J. Qin, J. Shi, et al. (2020)

 

  • Formation of visual memories controlled by gamma power phase-locked to alpha oscillations
    H. Park, D.S. Lee, E. Kang, H. Kang, J. Hahm, J.S. Kim, C.K. Chung, H. Jiang, et al. (2016)

 

  • Brain–heart interactions underlying traditional Tibetan Buddhist meditation
    H. Jiang, B. He, X. Guo, X. Wang, M. Guo, Z. Wang, T. Xue, H. Li, T. Xu, S. Ye, et al. (2020)

 

  • Modality-specific alpha modulations facilitate long-term memory encoding in the presence of distracters
    H. Jiang, M.A.J. van Gerven, O. Jensen (2015)

 

  • Multiple oscillatory push–pull antagonisms constrain seizure propagation
    H. Jiang, Z. Cai, G.A. Worrell, B. He (2019)

Conclusion

Dr. Haiteng Jiang is a highly suitable candidate for the Best Researcher Award due to his pioneering work in AI-driven neuroscience and mental health research. His interdisciplinary expertise, leadership roles, and contributions to psychiatric disorder classification position him as a strong contender. Strengthening his profile with additional publication metrics and funding details would further enhance his candidacy.

Sunita Pokhrel Bhattarai | Cognitive | Best Researcher Award

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Dr. Sunita Pokhrel Bhattarai | Cognitive | Best Researcher Award

Dr. Sunita Pokhrel, Bhattarai Ohio State University, United States.

Dr. Sunita Pokhrel Bhattarai, Ph.D., RN, is a distinguished nursing scholar and practitioner with a remarkable academic and professional journey. Her career began with an exceptional academic foundation in nursing, supported by prestigious scholarships. She transitioned seamlessly from clinical excellence in Nepal to advanced research and education in the global arena. Her doctoral research at the University of Rochester, focused on innovative methods for diagnosing acute heart failure, underscores her contributions to cardiovascular nursing. Beyond clinical practice, Sunita has excelled in academia, research coordination, and manuscript review, emphasizing her influence in the global nursing and healthcare community. Her accolades, including diversity and travel grants, reflect her dedication to excellence and equity in healthcare.

Profile

Scholar

🩺 Early Academic Pursuits: A Foundation of Excellence

Sunita Pokhrel Bhattarai, Ph.D., RN, began her academic journey with an unwavering commitment to healthcare and nursing education. From earning her Proficiency Certificate in Nursing on a full government scholarship in Nepal to completing her Bachelor’s in Nursing with a specialization in Community Health, Sunita demonstrated a dedication to academic excellence. Her early research on the knowledge and consequences of teenage marriage in Nepal set the stage for her future pursuits. This strong foundation was further reinforced through her Master’s studies in Emergency and Critical Care Nursing under the Erasmus Mundus Scholarship, where she explored advanced cardiac life support knowledge among critical care nurses.

💼 Professional Endeavors: Leadership in Nursing Practice and Education

Sunita’s professional trajectory reflects a remarkable blend of clinical expertise and academic leadership. She served as a Registered Nurse in Nepal’s premier institutions, including Shahid Gangalal National Heart Centre, where she specialized in cardiac care. Transitioning into academia, she became a Nursing Lecturer at Purbanchan University, imparting her knowledge to future nurses. These roles enriched her understanding of healthcare delivery and education, enabling her to contribute effectively to the global nursing community.

🔬 Contributions to Cardiovascular Research: Bridging Practice and Science

Driven by a passion for advancing cardiovascular care, Sunita’s research focuses on acute heart failure and innovative diagnostic approaches. Her doctoral research at the University of Rochester aimed to estimate left ventricular ejection fraction using ECG, a novel contribution to acute heart failure management. Her involvement in multidisciplinary projects, such as investigating the optimal timing for coronary angiography, highlights her ability to bridge clinical practice and scientific inquiry. Her research not only addresses critical clinical questions but also emphasizes the importance of evidence-based solutions in nursing.

🏆 Accolades and Recognition: Celebrating a Trailblazer

Sunita’s outstanding contributions have been recognized with numerous awards and grants. Notable honors include the Presidential Stronger as One Diversity Award from the University of Rochester and the Ireta Neumann Scholarship for International Nurses. Her achievements underscore her dedication to fostering diversity and excellence in nursing. Travel grants from esteemed organizations like the American Heart Association and the International Society for Computerized Electrocardiology further reflect her active participation in the global research community.

🌍 Impact and Influence: Advancing Global Health Equity

Sunita’s work extends beyond research and practice to address disparities in healthcare delivery. With a keen interest in self-care, implementation science, and healthcare discrepancies, she aims to enhance patient outcomes and equity in access to care. Her contributions as a research lead coordinator and manuscript reviewer illustrate her influence in shaping nursing science. Through mentorship and scholarly collaboration, she continues to inspire the next generation of healthcare professionals.

🧠 Legacy of Expertise: Pioneering Big Data and Applied Statistics

Sunita’s proficiency in big data analysis and applied statistics distinguishes her as a thought leader in nursing research. By leveraging these tools, she has contributed to clinical trials and comprehensive literature reviews that inform evidence-based practice. Her role as an abstract reviewer and researcher underscores her commitment to advancing knowledge in cardiovascular nursing and beyond.

🌟 Future Contributions: A Vision for Transformative Healthcare

With her multifaceted expertise and global perspective, Sunita is poised to drive innovation in healthcare. Her dedication to improving acute heart failure diagnostics, addressing healthcare disparities, and mentoring emerging scholars positions her as a transformative figure in nursing science. Her journey is a testament to the power of perseverance, scholarship, and a passion for improving lives.

📚 Publications

  • Delays in door-to-diuretic time and 1-year mortality among patients with heart failure
    Authors: DJ Dzikowicz, SP Bhattarai, J Ng, AL Zemanek, MG Carey
    Year: 2022

 

  • Signs and Symptoms Clusters Among Patients With Acute Heart Failure: A Correlational Study
    Authors: S Pokhrel Bhattarai, DJ Dzikowicz, MG Carey
    Year: 2023

 

  • Integrative review of electrocardiographic characteristics in patients with reduced, mildly reduced, and preserved heart failure
    Authors: SP Bhattarai, RC Block, Y Xue, DH Rodriguez, RG Tucker, MG Carey
    Year: 2024

 

  • Knowledge and practices on prevention of coronary artery diseases in Nepalese community: A cross-sectional from five different cities in Nepal
    Authors: SP Bhattarai, P Neupane
    Year: 2018

 

  • Estimating Ejection Fraction from the 12 Lead ECG among Patients with Acute Heart Failure
    Authors: SP Bhattarai, DJ Dzikowicz, Y Xue, R Block, RG Tucker, S Bhandari, …
    Year: 2024

 

  • Door-to-Diuretic Time is related to length of hospital stay independent of diuretic dose among acute decompensated heart failure patients
    Authors: DJ Dzikowicz, M Aktas, SP Bhattarai, L Chen, MG Carey
    Year: 2025

 

  • Estimating very low ejection fraction from the 12 Lead ECG among patients with acute heart failure
    Authors: SP Bhattarai, DJ Dzikowicz, Y Xue, R Block, RG Tucker, S Bhandari, …
    Year: 2025

 

  • Association Between Serum Albumin and the Length of Hospital Stay Among Patients With Acute Heart Failure
    Authors: S Pokhrel Bhattarai, DJ Dzikowicz, MG Carey
    Year: 2025

 

  • Estimating ejection fraction from the 12 lead ECG in acute heart failure
    Authors: SB Pokhrel, DJ Dzikowicz, S Bhandari, VE Boulware, MG Carey
    Year: 2024

 

  • Interaction Between Door To Diuretic Time And Dosing As A Predictor Of Mortality And Readmission
    Authors: D Dzikowicz, SP Bhattarai, L Chen, MG Carey
    Year: 2024

 

Conclusion

Dr. Sunita Pokhrel Bhattarai’s journey illustrates the power of knowledge, resilience, and a commitment to improving healthcare. By integrating clinical expertise, innovative research, and global collaboration, she has advanced the field of cardiovascular nursing and inspired future generations. Her ongoing work promises to bridge gaps in healthcare delivery, enhance patient outcomes, and drive transformative change in nursing science. Sunita’s legacy is one of impact, innovation, and an enduring dedication to the betterment of global health.

Samira Jafari | Brain Mapping | Best Researcher Award

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Dr. Samira Jafari | Brain Mapping | Best Researcher Award

Dr Samira Jafari, Kerman university of medical sciences, Iran.

Dr. Samira Jafari, a distinguished Ph.D. in Biostatistics at Kerman University of Medical Sciences, is a leading researcher in biostatistics, machine learning methods, and meta-analysis. With 11 research projects and 11 journal publications in SCI and Scopus-indexed journals, she has made significant contributions to healthcare research, focusing on data-driven solutions. Her work in integrating machine learning with biostatistical models aims to enhance health data analysis, with the potential for improving disease prediction, public health policies, and medical practices.

Profile

Scholar

Early Academic Pursuits: The Foundation of Expertise 📚

Dr. Jafari’s academic journey began with a strong foundation in biostatistics, where she honed her analytical skills and developed a passion for understanding the intricacies of data. During her studies, she was captivated by the potential of machine learning to transform data analysis in healthcare, laying the groundwork for her future endeavors. Her early academic pursuits focused on mastering statistical models and computational techniques, which would become the bedrock of her later research.

Professional Endeavors: Shaping Research Landscape 🧑‍🔬

Since completing her Ph.D., Dr. Jafari has become a key figure in advancing biostatistics research, particularly through her exploration of machine learning applications. At Kerman University of Medical Sciences, she has led numerous research projects, with a total of 11 completed and ongoing studies. Her expertise has contributed to groundbreaking work in applying biostatistics and machine learning methods to analyze large-scale healthcare data. Dr. Jafari’s research provides essential insights that enhance the understanding of disease patterns and contribute to better health outcomes.

Contributions and Research Focus: Bridging Knowledge and Practice 🧠

Dr. Jafari’s research contributions are particularly notable in the integration of machine learning algorithms with biostatistics to improve health data interpretation. Her work includes innovative meta-analytic methods to synthesize complex data and uncover underlying patterns that inform healthcare practices. By combining machine learning with statistical models, she has been able to provide robust solutions for various medical and epidemiological studies. With 11 journal publications in top-tier journals like SCI and Scopus, her research has had a significant impact on advancing statistical methods in biostatistics.

Accolades and Recognition: Scholarly Achievements 🏆

Dr. Jafari’s scholarly achievements have not gone unnoticed. Her work has earned recognition through a citation index of 2, reflecting her contributions to the academic community. Despite the limited citations, her research is highly regarded for its innovative approach to statistical modeling and its potential applications in the field of biostatistics. She has made a lasting impression through her academic rigor, innovative methods, and dedication to enhancing the quality of healthcare research.

Impact and Influence: Leading the Way in Quantitative Healthcare Research 🌍

Dr. Jafari’s work in biostatistics and machine learning has influenced both academic research and practical applications in healthcare. Her innovative approaches to analyzing and interpreting health data have the potential to change how public health research is conducted, improving the accuracy and efficacy of healthcare models. The widespread application of her research is likely to influence future healthcare policy and contribute to the development of more precise, data-driven medical treatments.

Legacy and Future Contributions: A Path to Continued Innovation 🔮

Dr. Jafari’s research journey is far from over. With numerous ongoing projects, she is poised to continue contributing to the field of biostatistics, machine learning, and meta-analysis. As a dedicated researcher, her future work promises to explore new frontiers in data analysis, helping to bridge the gap between complex statistical methods and practical healthcare applications. Dr. Jafari’s contributions will undoubtedly have a lasting impact on the way we analyze medical data, shaping the future of healthcare and biostatistics for years to come.

📚 Publications

  • Title: The best drug supplement for obesity treatment: a systematic review and network meta-analysis
    Authors: N Salari, S Jafari, N Darvishi, E Valipour, M Mohammadi, K Mansouri, …
    Year: 2021

 

  • Title: Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease
    Authors: S Jafari, T Dehesh, F Iranmanesh
    Year: 2019

 

  • Title: Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool
    Authors: S Jafari, A Almasi, H Sharini, S Heydari, N Salari
    Year: 2023

 

  • Title: The best surgical treatment for cervical radiculopathy: a systematic review and network meta-analysis
    Authors: A Almasi, S Jafari, L Solouki, N Darvishi
    Year: 2023

 

  • Title: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
    Authors: H Alimiri Dehbaghi, K Khoshgard, H Sharini, S Jafari Khairabadi, …
    Year: 2024

 

  • Title: Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in …
    Authors: HA Dehbaghi, K Khoshgard, H Sharini, SJ Khairabadi
    Year: 2024

 

  • Title: A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
    Authors: T Dehesh, MA Mosleh-Shirazi, S Jafari, E Abolhadi, P Dehesh
    Year: 2024

 

Conclusion

Dr. Samira Jafari stands as a trailblazer in the field of biostatistics and machine learning, making invaluable contributions to healthcare research. Through her innovative integration of machine learning with biostatistical models, she has advanced our understanding of complex health data, paving the way for more accurate predictions and improved healthcare outcomes. With her extensive research experience and a clear commitment to bridging data analysis with real-world medical applications, Dr. Jafari is set to leave a lasting legacy in both academic and healthcare sectors.

Nawal Al-Subaie | Clinical Neuroscience | Best Researcher Award

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Assist Prof Dr. Nawal Al-Subaie | Clinical Neuroscience | Best Researcher Award

Assist Prof Dr. Nawal Al-Subaie,  Princess Noura University, Saudi Arabia

Nawal Al Subaie is a dedicated Clinical Pharmacist with extensive experience in clinical and academic roles at esteemed institutions, including Prince Sultan Military Medical City (PSMMC) and Princess Noura University (PNU). She holds a PhD in Clinical Pharmacy from DMU, UK, and a Master’s in International Practice and Policy from UCL, London. With a career spanning leadership, clinical care, and education, she has made significant contributions to pharmacy practice, quality control, and chronic disease management. Her commitment to continuous learning is reflected in numerous specialized courses and symposiums, along with frequent contributions to global conferences.

 

profile

scholor

🎓 Educational Background

PhD in Clinical Pharmacy,DMU Leicester, United Kingdom.MSc in Clinical Pharmacy (International Practice and Policy)
,UCL School of Pharmacy, London, United Kingdom.Bachelor’s Degree in Hospital Pharmacy,King Saud University, Riyadh, Saudi Arabia.

💼 Working Experience

Deputy in Charge of Pharmacy Division.Family and Community Medicine.Lead Pharmacist. Wazarat Health Centre (WHC).Clinical Pharmacist,Chronic Disease Clinic, WHC.Clinical Instructor / Trainer,Continuous education for pharmacy students at King Saud University, Princess Noura University, Northern Border University.Quality Control Representative Pharmacy, WHC.Part-time Lecturer,Clinical Ocular Pharmacology, King Saud University.JCI Accreditation Awardee,Primary Care Team.In-Charge of Clinical Pharmacist Ambulatory Care Clinics, PSMMC, 2020–2022.Assistant Professor,Princess Noura University (PNU), May 2022 – Present.

🏫 Training Courses / Symposiums

2015 – 2019: PhD Student (Diabetes and Exercise)Pharmacy School, DMU, UK.2014: TOT Course Leicester, UK.2016: Phlebotomy Course Nottingham, UK.2016: First Aid CourseLeicester, UK.2022: ASHP Diabetes Management Certificate Course January – December 2022.

🌍 Conferences Attended & Contributions

2024: Attended the 4th Saudi Society of Clinical Pharmacist Annual International Conference (September).2024: Presented Poster at Dubai International Pharmaceuticals and Technologies Conference.2023: Oral Presentation at Neurology Conference, Dubai (March).2023: Judge, Pharmacy Research Day, PNU Research Center (May).2022: Attended First Saudi Society of Clinical Pharmacist Annual International Conference (September)(and many more from 2000 to 2024)

🤲 Voluntary Work

University orientation for new students, DMU. Diabetes Awareness Day, in collaboration with Diabetes UK. Trained students at DMU on ELISA and Randox machine for blood sample analysis. Assisted pharmacy students with projects and dissertations, DMU

🏅 Professional Memberships

Saudi Commission for Health Specialties (ID: 09-R-P-0295492)

📚 Publications

  1. Statins Use in Alzheimer Disease: Bane or Boon from Frantic Search and Narrative Review
    Authors: N. Alsubaie, H.M. Al-Kuraishy, A.I. Al-Gareeb, B. Alharbi, M. De Waard, …
    Year: 2022

 

  1. Discussing Pathologic Mechanisms of Diabetic Retinopathy & Therapeutic Potentials of Curcumin and β-glucogallin in the Management of Diabetic Retinopathy
    Authors: M. Rohilla, S. Bansal, A. Garg, S. Dhiman, S. Dhankhar, M. Saini, S. Chauhan, …
    Year: 2023

 

  1. The Potential Therapeutic Effect of Metformin in Type 2 Diabetic Patients with Severe COVID-19
    Authors: H.M. Al-Kuraishy, A.I. Al-Gareeb, A.A. El Kholy, E. El-Khateeb, A. Alexiou, …
    Year: 2023

 

  1. The Effects of a Combined Exercise Programme Aerobic and Resistance on Blood Glucose, Incretin, Metabolic and Inflammatory Mediators that Could Control the Diabetes and Improve …
    Author: N. Alsubaie
    Year: 2019

 

  1. Corrigendum to “Discussing Pathologic Mechanisms of Diabetic Retinopathy & Therapeutic Potentials of Curcumin and β-glucogallin in the Management of Diabetic Retinopathy”
    Authors: M. Rohilla, S. Bansal, A. Garg, S. Dhiman, S. Dhankhar, M. Saini, S. Chauhan, …
    Year: 2024

 

  1. Impact of Clinical Pharmacist Diabetes Clinic on the Improvement of Health Outcomes in Type 2 Diabetes Subjects
    Authors: N. AlSubaie, M. Alsallal, S. AlTwaijri, A. AlOtaibi, B. AlHarbi, M. AlEissa, …
    Year: 2022

 

  1. The Effects of a Combined Aerobic and Resistance Exercise Programme on Insulin Resistance Among Prediabetes Subjects
    Authors: B. Alharbi, N. Alsubaie, T.S. Sahota, M.J. Taylor
    Year: 2019

 

  1. The Effects of a Combined Exercise Programme (Aerobic and Resistance) on Blood Glucose and Incretin Hormone That Could Control the Diabetes in Type 2 Diabetes
    Authors: N. Alsubaie, B. Alharbi, T.S. Sahota, M.J. Taylor
    Year: 2019

 

  1. The Effects of a Combined Exercise Programme (Aerobic and Resistance) on Blood Glucose, and Incretin Hormone That Could Control the Diabetes in Type 2 Diabetes
    Authors: B.M. Alharbi, N.S. Alsubaie, T.S. Sahota, M.J. Taylor
    Year: 2019

 

  1. The Impact of Moderate Combination Exercise on HbA1c, IL-6, and TNF in Type 2 Diabetic and Non-diabetic Subjects: An Interventional Non-randomized Clinical Trial
    Authors: B. Alharbi, N. Alsubaie, T.S. Sahota, M.J. Taylor
    Year: 2019

 

 Conclusion

Dr. Al Subaie’s career showcases a deep commitment to enhancing patient care, advancing pharmaceutical education, and contributing to international health discussions. Her background in both hands-on clinical care and academic research equips her with a well-rounded perspective, making her a valuable asset in clinical and educational settings alike. She continues to make strides in diabetes management, chronic disease care, and pharmacy education, with her work recognized through multiple presentations, awards, and professional memberships.

 

 

Mohammad Satarzadeh | Cognitive impairments | Best Researcher Award

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Mr. Mohammad Satarzadeh | Cognitive Impairments | Best Researcher Award

Mr. Mohammad Satarzadeh Hormozgan medical science university Iran

Mohammad Satarzadeh, born in March 1999 in Arak, is a dedicated nursing graduate with a passion for medicine and healthcare. He completed his Bachelor’s in Nursing from Hormozgan University of Medical Sciences, scoring 16.60 out of 20, and previously attended Payame Noor University for Cellular and Molecular Biology. Fluent in Persian and conversational in both French and Arabic, he is also working towards improving his English for IELTS.

 

profile

scopus

EDUCATION 🎓

Bachelor of Cellular and Molecular BiologyPayame Noor University, Arak (2018–2019)After completing two semesters, I decided to pivot my focus and applied to the University of Medical Sciences.Bachelor of NursingHormozgan University of Medical Sciences, Bandar Abbas (2019–2023)Total Score: 16.60/20

 

EXPERIENCE 📝

I have contributed to several research articles in reputable journals, showcasing my dedication to scientific inquiry:Shigella Antibiotic Resistance in Pediatric Shigellosis Infection: A retrospective study in Hormozgan (Corresponding author, ISI indexed)New Dimension of Epilepsy Complications: A systematic review of visual and retinal disorders (Corresponding author, under review, ISI indexed in BMC Ophthalmology)Maternal Smoking during Pregnancy and Its Effects on Neural Tube Defects: A holistic systematic review (Accepted, PubMed indexed)Additionally, I have four articles submitted for publication and five more in preparation for submission before January 2024.

 

RESEARCH PROJECTS 🔬

Effect of Personality Types on Heart Disease Prognosis: A systematic review.Incidence of Infections in Children with Leukemia: Conducted at Bandar Abbas Children’s Hospital (2020-2023).Neonatal Neutropenia and Leukopenia: Study in infants admitted to Shariati Bandar Abbas Hospital (2021-2023).Prevalence of Hepatitis B, C, and D: In thalassemia patients referred to Aburihan Center, Bandar Abbas.Burns from Alkaline Substance Ingestion: Cases studied at Bandar Abbas Children’s Hospital (2019-2023)

 

REVIEWER EXPERIENCE 🏅

Reviewer for a cohort article published in the Italian Pediatric JournalReviewer for the Tobacco Congress held at Hormozgan Medical Sciences University (March 2022).Active reviewer for Hematology, Immunology, and Pediatric departments at Hormozgan Medical Sciences University (4 recommendation letters available)

 

📚 Publications

  • Title: Dental Pulp Stem Cells Regenerate Neural Tissue in Degenerative Disorders and Stroke Rehabilitation: A Scope Systematic Review
    Authors: Rahnama Sisakht, A., Tavasouli, Z., Negahi, A., Hosseini, S.A., Satarzadeh, M.
    Year: 2024
    Journal: Heliyon, Volume 10, Issue 15, e35080

 

  • Title: Mothers’ Health-Seeking Behaviors and Ignorance of Children’s Fever: A Cross-Sectional Study
    Authors: Tariverdi, M., Sakhtemanpour Bolouki, S., Tamaddondar, M., Rahmati, M.B., Mohammadian, M.
    Year: 2024
    Journal: Archives of Pediatric Infectious Diseases, Volume 12, Issue 3, e142885

 

  • Title: Maternal Smoking during Pregnancy and its Effects on Neural Tube Defects
    Authors: Elahi, Z., Hassanzadeh, F., Satarzadeh, M.
    Year: 2024
    Journal: Iranian Journal of Child Neurology, Volume 18, Issue 3, Pages 103–115

 

Conclusion

Mohammad’s academic background, research contributions, and determination to overcome challenges in the Iranian academic environment position him as a strong candidate for postgraduate studies. His pursuit of international education aims to broaden his expertise, offering him the opportunity to expand his research capabilities and contribute to global medical knowledge. His drive, research skills, and experience in the medical field align well with his career aspirations, making him a promising candidate for further academic and professional growth in healthcare.

 

 

Karim Abbasian | Functional Brain Connectivity | Excellence in Research

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Assist Prof Dr.Karim Abbasian | Functional Brain Connectivity | Excellence in Research

Assist Prof Dr. Karim Abbasian University of Tabriz Iran

Dr. Karim Abbasian is an Associate Professor at the University of Tabriz, specializing in optical systems, quantum electronics, and nanophotonics. With a PhD in Optical Integrated Circuit Design, he has over 55 peer-reviewed publications and extensive teaching experience in advanced topics like Quantum Optics and Nanotechnology. His research focuses on all-optical systems, solar cells, and biosensors. Dr. Abbasian has held key administrative roles, including Rector of University of Bonab, and has been recognized for his contributions to research and teaching. His work is instrumental in advancing optical and quantum technologies for future applications.

profile

google scholar

Academic Position

Current Role: Associate Professor, Faculty of Electrical & Computer Engineering, University of Tabriz

Educational Background

Ph.D. in Optical Integrated Circuit Design from University of Tabriz, 2008Thesis: Electromagnetically Induced Transparency (EIT) for Realization of All-Optical Systems.M.Sc. in Electronic Engineering, University of Tarbiat Modarres, 1997.Thesis: On-Line Recognition of Handwritten Farsi Characters.B.Sc. in Electronic Engineering, University of Urumieh, 1994.

Teaching Experience

Courses taught at undergraduate, master’s, and PhD levels include:Magnetic Resonance Imaging (MRI), NanoPhotonics, Quantum Electronics, NanoElectronics, BioElectromagnetics, Quantum Optics, and more.

Research Interests

All-Optical Systems and Devices.Plasmonic and Nanophotonic Systems.Quantum Computing, Semiconductor Nanocrystals.Solar Cell Design, Optical Biosensors.Electromagnetic Fields in Tissue Engineering.Quantum Electronics, Quantum Cellular Automata.

Administrative Roles

Rector, University of Bonab (2017-2019).Dean, Faculty at University of Bonab (2002-2005).Vice Dean at University of Tabriz and University of Bonab (1999-2005).

Honors & Awards

Distinguished Researcher at University of Tabriz (2009, 2011, 2014).Distinguished Teacher at University of Tabriz (2010)Multiple employment grades for research and management excellence (2011, 2019)

📚 Publications

  • Ultra-fast all-optical plasmonic switching in near infra-red spectrum using a Kerr nonlinear ring resonator
    T. Nurmohammadi, K. Abbasian, R. Yadipour
    Optics Communications, 2018

 

  • All-optical analog-to-digital converter based on Kerr effect in photonic crystal
    D. Jafari, T. Nurmohammadi, M.J. Asadi, K. Abbasian
    Optics & Laser Technology, 2018

 

  • A proposal for a demultiplexer based on plasmonic metal–insulator–metal waveguide-coupled ring resonator operating in near-infrared spectrum
    T. Nurmohammadi, K. Abbasian, R. Yadipour
    Optik, 2017

 

  • Long wavelength infrared photodetector design based on electromagnetically induced transparency
    M. Zyaei, H.R. Saghai, K. Abbasian, A. Rostami
    Optics Communications, 2008

 

  • Low voltage, high modulation depth graphene THz modulator employing Fabry–Perot resonance in a metal/dielectric/graphene sandwich structure
    B. Jafari, H. Soofi, K. Abbasian
    Optics Communications, 2020

 

  • Modeling and analysis of room-temperature silicon quantum dot-based single-electron transistor logic gates
    M. Miralaie, M. Leilaeioun, K. Abbasian, M. Hasani
    Journal of Computational and Theoretical Nanoscience, 2014

 

  • Ultra-fast all-optical plasmon induced transparency in a metal–insulator–metal waveguide containing two Kerr nonlinear ring resonators
    T. Nurmohammadi, K. Abbasian, R. Yadipour
    Journal of Optics, 2018

 

  • Efficiency optimization in a rainbow quantum dot Solar cell
    A. Rostami, K. Abbasian, N. Gorji
    International Journal on Technical and Physical Problems of Engineering, 2011

 

  • A novel proposal for ultra-high resolution and compact optical displacement sensor based on electromagnetically induced transparency in ring resonator
    R. Yadipour, K. Abbasian, A. Rostami, Z. Koozekanani
    Progress In Electromagnetics Research, 2007

 

  • Analytical modeling of quality factor for shell type microsphere resonators
    R. Talebi, K. Abbasian, A. Rostami
    Progress In Electromagnetics Research B, 2011

 

  • All-optical tunable mirror design using electromagnetically induced transparency
    K. Abbasian, A. Rostami, Z. Koozekanani
    Progress In Electromagnetics Research M, 2008

 

  • A three-core hybrid plasmonic polarization splitter designing based on the hybrid plasmonic waveguide for utilizing in optical integrated circuits
    L. Shirafkan Dizaj, K. Abbasian, T. Nurmohammadi
    Plasmonics, 2020

Conclusion

Dr. Karim Abbasian’s extensive academic and research career highlights his significant contributions to the fields of optics, photonics, and nanotechnology. His leadership roles and innovative research on all-optical systems, solar cells, and biosensors underscore his commitment to advancing both theoretical knowledge and practical applications. His achievements, including numerous publications and teaching excellence, place him as a prominent figure in the scientific community. Dr. Abbasian’s work continues to shape the future of optical and quantum technologies, driving progress in critical areas that have wide-reaching implications for science and industry.