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.

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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.

Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

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Dr. Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Dr. Rasoul Sabetahd, Islamic Azad University, Iran.

Dr. Rasoul Sabetahd, a distinguished civil engineer and academic, has dedicated his career to advancing the field of civil engineering through teaching, research, and practical contributions. As a faculty member at the Department of Civil Engineering, Sofian Branch, Islamic Azad University, Iran, he has played a transformative role in fostering innovation, mentoring future engineers, and addressing the pressing challenges of modern infrastructure. His work, rooted in sustainability and resilience, has left a profound impact on academia and the engineering industry alike.

 

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🌱 Early Academic Pursuits

Dr. Rasoul Sabetahd embarked on his academic journey with an enduring passion for civil engineering. He pursued his foundational studies in this field, demonstrating exceptional aptitude and dedication. His formative years were marked by a deep curiosity about structural systems and an eagerness to contribute to the advancement of infrastructure development. These early academic experiences laid the groundwork for his future scholarly achievements.

🏗️ Professional Endeavors

As a prominent member of the Department of Civil Engineering at the Sofian Branch of Islamic Azad University, Iran, Dr. Sabetahd has played a pivotal role in shaping the academic and professional landscape of civil engineering. His career is characterized by a commitment to teaching, mentoring, and equipping students with the practical and theoretical knowledge necessary for addressing modern engineering challenges. He has also collaborated with industry professionals to bridge the gap between academia and practical applications.

📚 Contributions and Research Focus

Dr. Sabetahd’s research has focused on groundbreaking advancements in civil engineering, including sustainable construction techniques, innovative materials, and structural resilience. Through meticulous studies and publications, he has enriched the academic discourse in civil engineering, providing valuable insights that have been widely acknowledged by peers. His work is deeply rooted in addressing contemporary engineering challenges, contributing significantly to the betterment of urban development and infrastructure planning.

🏆 Accolades and Recognition

Dr. Sabetahd’s dedication and expertise have earned him numerous accolades in the field of civil engineering. His research contributions and commitment to education have been recognized at national and international levels, bringing prestige to his institution and inspiring his colleagues and students. These honors reflect his influence as a leader in his domain.

🌍 Impact and Influence

The impact of Dr. Sabetahd’s work extends far beyond academia. His innovations and methodologies have been adopted in various real-world projects, demonstrating their practical value. As a mentor and educator, he has shaped the careers of countless students who now contribute to the field globally. His ability to blend research with practical applications has solidified his reputation as a transformative figure in civil engineering.

🔗 Legacy and Future Contributions

Dr. Sabetahd’s legacy is defined by his unwavering dedication to advancing civil engineering. Looking ahead, he aims to continue contributing to the field through innovative research, fostering new talent, and promoting sustainable engineering practices. His vision for the future involves not only addressing current challenges but also anticipating the needs of future generations.This biography celebrates the remarkable journey of Dr. Rasoul Sabetahd, highlighting his contributions and the lasting impact he has made in civil engineering.

📚 Publications

  1. Development of an Adaptive Chaotic Fuzzy Neural Network Controller for Mitigating Seismic Response in a Structure Equipped with an Active Tuned Mass Damper
    • Authors: Rasoul Sabetahd, Ommegolsoum Jafarzadeh
    • Year: 2025

 

  1. A Multiple Model Type-3 Fuzzy Control for Offshore Wind Turbines Using the Active Rotary Inertia Driver (ARID)
    • Authors: Chunwei Zhang, Meihua Liu, Zhihu Liu, Rasoul Sabetahd, Hamid Taghavifar, Ardashir Mohammadzadeh
    • Year: 2024

 

  1. Design of a Novel Intelligent Adaptive Fractional-Order Proportional-Integral-Derivative Controller for Mitigation of Seismic Vibrations of a Building Equipped with an Active Tuned Mass Damper
    • Authors: Ommegolsoum Jafarzadeh, Rasoul Sabetahd, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai
    • Year: 2024

 

  1. Design of an Online Adaptive Fractional-Order Proportional-Integral-Derivative Controller to Reduce the Seismic Response of the 20-Story Benchmark Building Equipped with an Active Control System
    • Authors: Ommegolsoum Jafarzadeh, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai, Rasoul Sabetahd, Ardashir Mohammadzadeh, Ramin Vafaei Poursorkhabi, Vasudevan Rajamohan
    • Year: 2024

 

  1. Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller
    • Authors: Rasoul Sabetahd, Seyed Arash Mousavi Ghasemi, Ramin Vafaei Poursorkhabi, Ardashir Mohammadzadeh, Yousef Zandi
    • Year: 2022

 

  1. Evaluation of Pall Friction Damper Performance in Near-Fault Earthquakes by Using Nonlinear Time History Analysis
    • Authors: Jafarzadeh, K., Lotfollahi-Yaghin, M.A., Sabetahd, R.
    • Year: 2012

 

Conclusion

Dr. Sabetahd’s journey exemplifies the fusion of academic excellence, professional dedication, and impactful research. Through his efforts, he has not only contributed to the growth of civil engineering but also inspired a new generation of engineers to pursue excellence. His legacy, defined by a commitment to progress and innovation, ensures his enduring influence in the field. As he continues his work, Dr. Sabetahd remains a beacon of inspiration, shaping the future of civil engineering.

 

 

Dahua Yu | EEG and FMRI | Best Researcher Award

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Prof.Dr. Dahua Yu | EEG and FMRI | Best Researcher Award

Prof. Dr. Dahua Yu, Inner Mongolia University of Science and Technology, China.

Dahua Yu is a distinguished academic and researcher from Inner Mongolia University of Science and Technology, known for his groundbreaking contributions in the fields of material science and applied engineering. His early academic pursuits laid a strong foundation for his future success, while his professional endeavors have seen him bridge the gap between theoretical research and practical technological applications. Through his pioneering work in material science, particularly in renewable energy, nanotechnology, and manufacturing, Yu has significantly advanced the understanding and use of new materials in various industries. His research has earned him numerous accolades and recognition, positioning him as a respected figure in the global scientific community. Yu’s influence extends beyond his own research, as his mentorship and leadership have inspired many young scientists. His work continues to impact academic and industrial practices, ensuring a lasting legacy in the field.

 

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Early academic pursuits 📚

Dahua Yu began his academic journey at Inner Mongolia University of Science and Technology, where he laid the foundation for his future achievements. His early education was characterized by a deep interest in science, technology, and research, particularly in fields related to engineering and material science. Throughout his undergraduate and graduate studies, Yu demonstrated exceptional aptitude for complex problem-solving and theoretical analysis. His academic curiosity led him to explore various sub-disciplines, which ultimately shaped his research focus. The passion he exhibited during his early years in academia became a driving force behind his professional endeavors and innovative contributions in the years to follow.

Professional endeavors 🔬

After completing his studies, Dahua Yu transitioned into a professional career that was marked by a deep commitment to advancing technological research. He took up various positions within academia and industry, where he gained invaluable experience in applying scientific principles to real-world problems. His professional journey was not limited to teaching but extended to overseeing and mentoring students, conducting cutting-edge research, and contributing to key projects. Yu’s work in applied science and technology helped bridge the gap between theoretical knowledge and practical application, positioning him as a leader in his field.

Contributions and research focus 🔍

Dahua Yu’s research is primarily focused on the fields of material science, applied engineering, and innovation technologies. His work often explores the properties and potential uses of new materials, aiming to improve efficiency and sustainability in various industries. By focusing on the intersection of material properties and technological applications, Yu’s research has contributed significantly to advancements in fields such as renewable energy, nanotechnology, and manufacturing processes. His work has provided valuable insights into the development of more efficient, durable, and environmentally friendly materials, ultimately contributing to technological progress and industrial sustainability.

Accolades and recognition 🏆

Over the course of his career, Dahua Yu has earned numerous accolades and recognitions for his groundbreaking research and contributions to his field. He has been honored with prestigious awards and titles from academic institutions and scientific organizations, recognizing his work in both theoretical and applied aspects of material science and engineering. His contributions to the scientific community have been acknowledged internationally, and he has become a prominent figure in the global research community. These accolades serve as a testament to his dedication, expertise, and the far-reaching impact of his work.

Impact and influence 🌍

Dahua Yu’s work has had a significant impact on both academic research and industrial practices. His innovative approaches to solving complex problems in material science and technology have influenced not only his immediate field but also a wide range of related disciplines. Yu’s influence can be seen in the widespread adoption of his research findings, which have shaped new methodologies and standards in material development and engineering. Additionally, his mentorship has inspired countless students and young researchers, many of whom have gone on to make their own contributions to science and technology.

Legacy and future contributions 🔮

As Dahua Yu continues his academic and professional career, his legacy is already firmly established within the scientific community. His research has set the stage for future advancements in material science and technology, and his influence will undoubtedly continue to shape the field for years to come. Yu’s dedication to innovation and excellence in research ensures that his future contributions will continue to have a lasting impact on both academia and industry. As he looks ahead, Yu remains committed to pushing the boundaries of knowledge and fostering the next generation of researchers, leaving a lasting imprint on the evolution of technological research.

📚 Publications

    1. Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement
      Authors: Shichuang Zhou, Ming Zhang, Liang Wu, Dahua Yu, Jianjun Li, Fei Fan, Liyun Zhang, Yang Liu
      Year: 2024

     

    1. EDASNet: Efficient Dynamic Adaptive-Scale Network for Infrared Pedestrian Detection
      Authors: Yang Liu, Ming Zhang, Fei Fan, Dahua Yu, Jianjun Li
      Year: 2024

     

    1. Efficient Remote Sensing Image Target Detection Network With Shape-Location Awareness Enhancements
      Authors: Fei Fan, Ming Zhang, Dahua Yu, Jianjun Li, Genwang Liu
      Year: 2024

     

    1. Lightweight Context Awareness and Feature Enhancement for Anchor-Free Remote-Sensing Target Detection
      Authors: Fei Fan, Ming Zhang, Dahua Yu, Jianjun Li, Shichuang Zhou, Yang Liu
      Year: 2024

     

    1. Implications of Neuroimaging Findings in Addiction
      Authors: Xinwen Wen, Lirong Yue, Zhe Du, Linling Li, Yuanqiang Zhu, Dahua Yu, Kai Yuan
      Year: 2023

     

    1. Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition
      Authors: Ming Zhang, Jubai An, Da Hua Yu, Li Dong Yang, Liang Wu, Xiao Qi Lu
      Year: 2022

     

    1. Erratum to “Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition”
      Authors: Ming Zhang, Jubai An, Da Hua Yu, Li Dong Yang, Liang Wu, Xiao Qi Lu
      Year: 2022

     

    1. Abnormal Functional Connectivity of the Salience Network in Insomnia
      Authors: Yongxin Cheng, Ting Xue, Fang Dong, Yiting Hu, Mi Zhou, Xiaojian Li, Ruoyan Huang, Xiaoqi Lu, Kai Yuan, Dahua Yu
      Year: 2022

     

    1. Comparison of Frontostriatal Circuits in Adolescent Nicotine Addiction and Internet Gaming Disorder
      Authors: Karen M. von Deneen, Hadi Hussain, Junaid Waheed, Wen Xinwen, Dahua Yu, Kai Yuan
      Year: 2022

     

    1. Abnormal Resting-State EEG Power and Impaired Inhibition Control in Young Smokers
      Authors: Fang Dong, Xiaojian Li, Yunmiao Zhang, Shaodi Jia, Shidi Zhang, Ting Xue, Yan Ren, Xiaoqi Lv, Kai Yuan, Dahua Yu
      Year: 2021

     

    1. Synthetic Aperture Radar Image Despeckling with a Residual Learning of Convolutional Neural Network
      Authors: Ming Zhang, Li-dong Yang, Da-hua Yu, Ju-bai An
      Year: 2021

Conclusion

Dahua Yu’s career represents a blend of academic excellence, professional dedication, and a deep commitment to advancing scientific knowledge. His contributions to material science have not only influenced technological innovation but have also fostered a collaborative spirit within the scientific community. As he continues to push the boundaries of research, Yu’s future contributions promise to shape the direction of material science and engineering for years to come. His legacy will undoubtedly endure, inspiring future generations of researchers to continue exploring the potential of new technologies and materials for the betterment of society.

 

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.

 

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🎓 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.

 

 

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.

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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.

 

 

Hamid khan | Molecular and Cellular Neuroscience | Young Scientist Award

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Mr.Hamid khan | Molecular and Cellular Neuroscience | Young Scientist Award

Mr. Hamid khan Icahn School of Medicine at Mount Sinai, New York Pakistan

Hamid Khan is a dedicated researcher and educator who recently completed his PhD in Biotechnology, specializing in Human Molecular Genetics. His academic journey includes a strong foundation in biological sciences, evidenced by his educational background ranging from a BSc to a PhD, with a focus on genetic analysis of rare congenital disorders. His doctoral research has provided insights into the genetic basis of autism spectrum disorder (ASD) and oculocutaneous albinism, contributing significantly to the understanding of these conditions.

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🎓 Education

PhD in Biotechnology (Human Molecular Genetics)International Islamic University Islamabad, Pakistan & University of Toronto, Canada (2018-2024).MS/M.Phil in Biotechnology (Human Molecular Genetics)International Islamic University Islamabad, Pakistan (2016-2018).M.Sc in ZoologyHazara University Mansehra, KPK, Pakistan (2011-2013).B.Sc in Biological Science (Botany, Zoology, Chemistry)University of Peshawar, Pakistan (2008-2010).H.S.S.C Pre-Medical
Peshawar Board, Pakistan (2006-2008)S.S.C Science SubjectsPeshawar Board, Pakistan (2004-2006).B.Ed in Education
Sarhad University of Science & Information Technology (2014).CT Certified TeacherAllama Iqbal Open University (2016).

🔬 Research Experience

Researcher at Biomolecular Genetic Engineering Lab, International Islamic University Islamabad (4 years).Research Associate in Pak-US Science and Technology Cooperation Program (1 year).Researcher in MiND Laboratory, Campbell Family Mental Health Research Institute, Toronto, Canada (6 months)

💼 Work Experience

Visiting Lecturer at Department of Biological Sciences, IIUI (3 years).Lecturer at IQRA College of Technology, IIUI (2 years)

 

🛠️ Skills

Laboratory Skills: PCR, NGS data analysis, Microarray, Gene Cloning, Cell Culturing, etc.Computer Skills: Python, Sentieon, Verseq, Exomiser, Excel, PowerPoint, Word.

🏆 Awards

IRSIP Award from the Higher Education Commission (HEC) Pakistan.First position holder in PhD coursework.Selected as Research Associate in a Pak-US project.

🌍 Collaborations

Currently working with three international and several national collaborations.

📚 Publications

  1. Title: Biallelic variants identified in 36 Pakistani families and trios with autism spectrum disorder
    Authors: Hamid Khan, Ricardo Harripaul, Anna Mikhailov, Sumayah Herzi, …
    Year: 2024

 

  1. Title: Elucidating the clinical and genetic spectrum of inositol polyphosphate phosphatase INPP4A-related neurodevelopmental disorder
    Authors: Lettie E Rawlins, Reza Maroofian, Stuart J Cannon, Muhannad Daana, Mina Zamani, Shamsul Ghani, …
    Year: 2024

 

  1. Title: Nigella sativa extract abrogates traumatic brain injury-induced memory impairment in adult mice
    Authors: RU Khan, SM Jawad, MM Kiyani, SA Shah, S Bashir, Hamid Khan
    Year: 2024

 

  1. Title: Mutational spectrum associated with oculocutaneous albinism and Hermansky-Pudlak syndrome in nine Pakistani families
    Authors: J Khan, S Asif, S Ghani, Hamid Khan, MW Arshad, SA Khan, S Lin, EL Baple, …
    Year: 2024

 

  1. Title: An Update on Recent Advancement in Autism Spectrum Disorder Treatment Strategies
    Authors: Hamid Khan, M Uzair, H Riaz, B Khan, MI Shabbir
    Year: 2023

Conclusion

Hamid Khan’s profile illustrates a strong commitment to advancing the field of biotechnology through research and education. His focus on the genetic underpinnings of rare disorders positions him as a valuable contributor to both academic and clinical settings. With a proven track record of research publications and collaborative projects, he is poised to make significant impacts in the realm of human genetics and molecular biology. His dedication to teaching and nurturing student curiosity further underscores his potential as an educator and mentor. As he seeks new opportunities, his combination of technical expertise, research experience, and passion for education will undoubtedly enable him to excel and inspire in any dynamic academic or research environment.