Janka Jakusova | Allergic rhinitis | Best Researcher Award

Dr. Janka Jakusova | Allergic rhinitis | Best Researcher Award

Dr. Janka Jakusova Jessenius, Faculty of Medicine in Martin, Comenius University in Bratislava,  Slovakia.

Dr. Janka Jakusova is a passionate and accomplished Doctor of General Medicine currently completing her Ph.D. at the Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava. Her research focuses on the cough reflex, particularly in chronic allergic rhinitis models, targeting voltage-gated sodium channels for chronic cough therapy. With extensive experience in clinical and academic settings, she has contributed significantly to respiratory pathophysiology studies, particularly in pediatric patients and COVID-19 impacts. Dr. Jakusova is also a dedicated educator, shaping the next generation of medical professionals. Her scholarly contributions include nine publications, with ongoing research projects that showcase her commitment to advancing medical science.

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🌟 Early Academic Pursuits

Janka Jakusova, MD, began her distinguished journey in medicine and research with a passion for understanding human physiology and its intricate mechanisms. As a Doctor of General Medicine, she honed her foundational knowledge at the Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava. Her academic zeal was evident early on, laying a strong groundwork for a career dedicated to advancing medical science.

🩺 Professional Endeavors

Dr. Jakusova is currently in the final year of her full-time Ph.D. studies, where she explores the complexities of the cough reflex in a chronic allergic rhinitis model. In parallel, she serves as a lecturer, sharing her expertise with medical students and fostering their understanding of pathophysiology. Her professional experiences include impactful work at the National Institute for Pediatric Tuberculosis and Respiratory Diseases in Dolný Smokovec and the Infectious Disease Clinic in Ružomberok, where she studied the pediatric cough reflex and the effects of COVID-19, respectively.

🔬 Contributions and Research Focus

A dedicated researcher, Dr. Jakusova’s primary focus is on voltage-gated sodium channels as therapeutic targets for chronic cough, offering promising insights into new treatment approaches. Her scholarly contributions include nine publications in renowned SCI and Scopus-indexed journals. She has successfully completed two research projects and is actively involved in two more, reflecting her unwavering commitment to expanding the boundaries of medical knowledge.

🏆 Accolades and Recognition

Dr. Jakusova’s contributions to medical research have earned her an h-index of 2, signifying her influence in the scientific community. Her work, particularly in pediatric cough studies and the COVID-19 clinical landscape, has been recognized for its innovative approach and practical implications in improving patient care.

🌍 Impact and Influence

As an educator and researcher, Dr. Jakusova impacts both academia and clinical medicine. Her lectures inspire future medical professionals, while her research bridges theoretical knowledge and practical applications. By focusing on underexplored areas such as chronic cough mechanisms, she addresses unmet medical needs and contributes to the global understanding of respiratory diseases.

💡 Legacy and Future Contributions

Janka Jakusova’s vision extends beyond her current achievements. She aims to continue her exploration of respiratory pathophysiology, targeting innovative therapeutic strategies and contributing to the broader medical field. Her dedication to teaching and research ensures a lasting legacy, fostering knowledge and inspiring the next generation of medical professionals.

📚 Lifelong Dedication to Medicine and Research

Dr. Jakusova’s journey exemplifies a life committed to the advancement of medicine. Her efforts in uncovering the nuances of respiratory pathophysiology, combined with her role as an educator, underline her dual impact on science and society. With a promising future ahead, her work is poised to leave an indelible mark on the field of medicine.

📚Publications

  1. Effectiveness of selective NaV1.7 blocker PF-05089771 in reducing cough associated with allergic rhinitis in guinea pigs
    Authors: Jakusova, J., Buday, T., Mokra, D., Plevkova, J., Brozmanova, M.
    Year: 2025

 

  1. Impact of microbial diversity on inflammatory cytokines and respiratory pattern measured in whole-body plethysmography in guinea pig models
    Authors: Buday, T., Brozmanova, M., Jakusova, J., Biringerova, Z., Plevkova, J.
    Year: 2025

 

  1. Advancing cough research: Methodological insights into cough challenge in guinea pig models using double chamber vs whole-body plethysmography
    Authors: Plevkova, J., Jakusova, J., Brozmanova, M., Biringerova, Z., Buday, T.
    Year: 2024

 

  1. Influence of combined voltage-gated sodium channel NaV1.7 and NaV1.8 inhibitors on cough in a guinea pig model
    Authors: Brozmanova, M., Buday, T., Jakusova, J., Melegova, J., Plevkova, J.
    Year: 2023

 

  1. Methods of Cough Assessment and Objectivization
    Authors: Jakusova, J., Brozmanova, M.
    Year: 2023

 

  1. Effect of Selected Music Soundtracks on Cardiac Vagal Control and Complexity Assessed by Heart Rate Variability
    Authors: Parizek, D., Visnovcova, N., Sladicekova, K.H., Ferencova, N., Tonhajzerova, I.
    Year: 2023

 

  1. Measurement of electromagnetic characteristics of BIOMAG – medical device for magnetotherapy | Pomiar właściwości elektromagnetycznych BIOMAG – urządzenia medycznego do magnetoterapii
    Authors: Hamza Sladicekova, K., Misek, J., Radil, R., Alhakim, A., Jakus, J.
    Year: 2023

 

  1. Electromagnetic Fields – Do They Pose a Cardiovascular Risk?
    Authors: Parizek, D., Visnovcova, N., Sladicekova, K.H., Ferencova, N., Tonhajzerova, I.
    Year: 2023

Conclusion

Dr. Jakusova’s dedication to exploring under-researched areas, such as chronic cough mechanisms, highlights her innovative approach to solving real-world medical challenges. Her dual role as a researcher and educator ensures her work has both immediate and lasting impacts on science and society. As she continues her journey, Dr. Jakusova is poised to make groundbreaking contributions to respiratory medicine, solidifying her legacy as a leader in the field.

 

 

Sunita Pokhrel Bhattarai | Cognitive | Best Researcher Award

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.

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🩺 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.

Maria Habib | Optimization | Best Researcher Award

Ms. Maria Habib | Optimization | Best Researcher Award

Ms. Maria Habib, Granada University/ Samsung R&D (SRJO), Jordan.

Maria Habib is a distinguished researcher and AI engineer whose journey spans academia and industry. With a strong foundation in Computer Engineering, she advanced her expertise through a Master’s in Web Intelligence and is currently pursuing a Ph.D. in Information Technology and Communication. Maria’s professional endeavors include leading AI projects at Samsung R&D, transforming telehealth services at Altibbi, and contributing to bioinformatics at McGill University. Her research focuses on artificial intelligence, machine learning, evolutionary algorithms, and NLP, producing innovative solutions and influential publications. Her work has significantly impacted telemedicine, educational data mining, and speech technologies, establishing her as a transformative force in AI.

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Early Academic Pursuits 🎓

Maria Habib embarked on her academic journey with a robust foundation in Computer Engineering, earning her Bachelor’s degree from the University of Jordan in 2014. Demonstrating early promise, she excelled in her Master’s program in Web Intelligence at the prestigious King Abdullah II School for Information Technology, attaining an outstanding GPA of 3.91/4. Her passion for leveraging technology to address real-world challenges was evident from the outset, as she explored advanced concepts in information systems and web technologies. Maria is currently pursuing her Ph.D. in Information Technology and Communication at Granada University, Spain, where she continues to delve into cutting-edge AI research.

Professional Endeavors 💼

Maria’s career trajectory reflects a seamless blend of academic rigor and industry innovation. At Samsung R&D Institute in Jordan, she leads AI projects focusing on speech recognition and natural language processing, showcasing her prowess in automation and advanced search systems. Prior to this, Maria honed her skills at Altibbi, where she developed machine learning and deep learning models to revolutionize telehealth services. Her expertise spans diverse roles, from Python development for logistics platforms at Polares LLC to teaching Computer Science at ADS School. Each position has deepened her technical acumen and solidified her reputation as a versatile problem-solver.

Contributions and Research Focus 🔬

Maria’s research centers on artificial intelligence, machine learning, and evolutionary algorithms, emphasizing their transformative potential in healthcare, education, and NLP. Her collaborations with renowned academics like Prof. Hossam Faris and Dr. Ghaith Rabadi have resulted in influential publications in prestigious journals. Her work extends to bioinformatics, where she contributed to microbiome data visualization during her tenure as a Graduate Research Trainee at McGill University. As a member of the Evo-ML research group, Maria explores innovative solutions that bridge academia and industry, reinforcing her commitment to advancing AI for societal benefit.

Accolades and Recognition 🏆

Maria’s dedication to excellence has not gone unnoticed. Her stellar academic performance earned her accolades throughout her educational journey, culminating in a Master’s GPA of 3.91/4.0. Her professional roles have been marked by commendations for innovation and leadership, particularly at Samsung R&D and Altibbi. References from distinguished mentors like Prof. Ibrahim Aljarah and Prof. Jiangou Xia underscore the high regard in which she is held within the academic and professional communities.

Impact and Influence 🌍

Through her work in AI, Maria has significantly impacted fields such as telemedicine, educational data mining, and speech understanding. Her contributions to Altibbi transformed telehealth services, making them more accessible and efficient. Her teaching and mentorship roles have inspired students and peers alike, fostering a new generation of tech enthusiasts. Her initiatives in AI automation and optimization continue to resonate within the global technology landscape.

Legacy and Future Contributions 🌟

Maria’s journey is far from over. As an AI Project Lead and researcher, she is poised to shape the future of speech and language technologies. Her ongoing Ph.D. research promises groundbreaking insights into AI and communication systems. With a clear vision for the future, Maria aspires to bridge the gap between research and real-world applications, ensuring her legacy as a pioneer in computational innovation.

📚 Publications

  1. Title: Intelligent detection of hate speech in Arabic social network: A machine learning approach
    Authors: I. Aljarah, M. Habib, N. Hijazi, H. Faris, R. Qaddoura, B. Hammo, …
    Year: 2021

 

  1. Title: A dynamic locality multi-objective salp swarm algorithm for feature selection
    Authors: I. Aljarah, M. Habib, H. Faris, N. Al-Madi, A.A. Heidari, M. Mafarja, …
    Year: 2020

 

  1. Title: Augmented whale feature selection for IoT attacks: Structure, analysis, and applications
    Authors: M. Mafarja, A.A. Heidari, M. Habib, H. Faris, T. Thaher, I. Aljarah
    Year: 2020

 

  1. Title: Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data
    Authors: I. Almomani, R. Qaddoura, M. Habib, S. Alsoghyer, A. Al Khayer, I. Aljarah, …
    Year: 2021

 

  1. Title: Evolutionary inspired approach for mental stress detection using EEG signal
    Authors: L.D. Sharma, V.K. Bohat, M. Habib, A.Z. Ala’M, H. Faris, I. Aljarah
    Year: 2022

 

  1. Title: Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context
    Authors: H. Faris, I. Aljarah, M. Habib, P.A. Castillo
    Year: 2020

 

  1. Title: An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir
    Authors: H. Tao, M. Habib, I. Aljarah, H. Faris, H.A. Afan, Z.M. Yaseen
    Year: 2021

 

  1. Title: Optimizing extreme learning machines using chains of salps for efficient android ransomware detection
    Authors: H. Faris, M. Habib, I. Almomani, M. Eshtay, I. Aljarah
    Year: 2020

 

  1. Title: Salp chain-based optimization of support vector machines and feature weighting for medical diagnostic information systems
    Authors: A.M. Al-Zoubi, A.A. Heidari, M. Habib, H. Faris, I. Aljarah, M.A. Hassonah
    Year: 2020

 

 

Conclusion

Maria Habib’s career exemplifies the intersection of technical expertise and societal impact. Through her leadership and innovative research, she has contributed to advancements in healthcare, communication, and education. Her commitment to bridging research and application ensures her legacy as a pioneer in AI. Maria’s inspiring journey underscores the power of determination and innovation, positioning her as a role model in the global technology community.

Samira Jafari | Brain Mapping | Best Researcher Award

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.

Mamunur Roshid | Nonlinear Science | Best Researcher Award

Mamunur Roshid | Nonlinear Science | Best Researcher Award

Mr. Md. Mamunur Roshid, Hamdard University Bangladesh, Bangladesh.

Md. Mamunur Roshid is a dedicated mathematician, educator, and researcher whose work spans bifurcation analysis, nonlinear oscillations, soliton theory, and biomathematics. Currently a Lecturer at Hamdard University Bangladesh and a Ph.D. candidate at BUET, he has contributed significantly to mathematical research, with over 515 Google Scholar citations and a strong presence as a peer reviewer for leading journals. Passionate about teaching, he has mentored multiple undergraduate students and continues to inspire the next generation while pushing the boundaries of mathematical understanding.

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📚 Early Academic Pursuits

Md. Mamunur Roshid’s passion for mathematics began with his academic journey in Bangladesh. His commitment to the field was evident through his exceptional projects during his undergraduate studies, where he delved into the “Exact and Solitary Wave Solution of Nonlinear Evolution Equation via Modified Simple Equation Method.” This foundation was further solidified during his Master’s research, which focused on solving nonlinear models using advanced mathematical techniques. Now pursuing a Ph.D. at the Bangladesh University of Engineering and Technology, his thesis explores “Bifurcation Analysis and Various Dynamics of Soliton Solutions of Nonlinear Fractional Models,” marking another milestone in his academic journey.

Professional Endeavors

Currently serving as a Lecturer in the Department of Mathematics at Hamdard University Bangladesh since March 2022, Md. Mamunur Roshid is dedicated to inspiring and educating future mathematicians. His professional journey also includes a stint as a Research Assistant on the “AUST Internal Research Grant” project. These roles have allowed him to merge teaching with active research, creating a dynamic environment where knowledge is both shared and expanded.

🔬 Contributions and Research Focus

Md. Mamunur Roshid’s research interests span a diverse range of topics, including bifurcation analysis, chaotic systems, nonlinear oscillations, fractional derivatives, soliton theory, and mathematical modeling in finance and biomathematics. His work has produced significant insights into the behavior of nonlinear systems, exact traveling wave solutions, and fractional-order dynamics, contributing to the broader understanding of mathematical physics and its applications.

🏆 Accolades and Recognition

With over 515 citations, a Google Scholar h-index of 16, and an i10-index of 19, Md. Mamunur Roshid’s scholarly impact is evident. He has earned recognition as a peer reviewer for renowned journals like Nonlinear Dynamics, Scientific Reports, and Optical Quantum Electronics. His dedication to ensuring academic excellence in these publications underscores his expertise and contributions to the global mathematical community.

🌍 Impact and Influence

Through his teaching and supervision, Md. Mamunur Roshid has mentored seven undergraduate students, guiding them in projects that explore advanced mathematical theories and applications. These students, including Mst. Sahana Hasan, Toky Iman, and Arifa Akter Ripa, represent the future of mathematical research, nurtured under his thoughtful guidance. His commitment to fostering curiosity and critical thinking has left a lasting impression on his students and peers alike.

💡 Legacy and Future Contributions

Md. Mamunur Roshid’s ongoing research into nonlinear fractional models and their dynamic solutions promises to address critical questions in mathematical physics and applied mathematics. His expertise in bifurcation analysis and soliton theory is expected to continue influencing fields such as engineering, finance, and biomathematics, leaving a legacy of innovation and interdisciplinary collaboration.

✨ Inspiring the Next Generation

Driven by a deep love for mathematics, Md. Mamunur Roshid aspires to instill the same enthusiasm in his students. His vision for the future includes advancing mathematical knowledge while motivating the younger generation to view mathematics as a powerful tool for solving complex problems. Through his efforts, he continues to create a vibrant academic and research environment that bridges theory and application, shaping the future of mathematics.

📚 Publications

  • Exact and explicit traveling wave solutions to two nonlinear evolution equations which describe incompressible viscoelastic Kelvin-Voigt fluid
    Authors: MM Roshid, HO Roshid
    Year: 2018

 

  • New solitary wave in shallow water, plasma and ion acoustic plasma via the GZK-BBM equation and the RLW equation
    Authors: HO Roshid, MM Roshid, N Rahman, MR Pervin
    Year: 2017

 

  • Lump, interaction of lump and kink and solitonic solution of nonlinear evolution equation which describe incompressible viscoelastic Kelvin–Voigt fluid
    Authors: MM Roshid, T Bairagi, MM Rahman
    Year: 2022

 

  • Dynamical simulation of wave solutions for the M-fractional Lonngren-wave equation using two distinct methods
    Authors: MM Roshid, MM Rahman, MH Bashar, MM Hossain, MA Mannaf
    Year: 2023

 

  • Kinky periodic pulse and interaction of bell wave with kink pulse wave propagation in nerve fibers and wall motion in liquid crystals
    Authors: MM Roshid, MZ Ali, H Rezazadeh
    Year: 2020

 

  • Dynamical interaction of solitary, periodic, rogue type wave solutions and multi-soliton solutions of the nonlinear models
    Authors: MM Roshid, A Abdeljabbar, A Aldurayhim, MM Rahman, FS Alshammari
    Year: 2022

 

  • New solitonic and rogue wave solutions of a Klein–Gordon equation with quadratic nonlinearity
    Authors: MM Roshid, MF Karim, AK Azad, MM Rahman, T Sultana
    Year: 2021

 

  • Breather Wave and Kinky Periodic Wave Solutions of One-Dimensional Oskolkov Equation
    Authors: M Roshid, H Bashar
    Year: 2019

 

  • Dynamical analysis of optical soliton solutions for CGL equation with Kerr law nonlinearity in classical, truncated M-fractional derivative, beta fractional derivative, and …
    Authors: AK Chakrabarty, MM Roshid, MM Rahaman, T Abdeljawad, MS Osman
    Year: 2024

 

  • Dynamical structure of optical soliton solutions for M− fractional paraxial wave equation by using unified technique
    Authors: MM Roshid, M Uddin, G Mostafa
    Year: 2023

 

 

Conclusion

Md. Mamunur Roshid embodies a harmonious blend of academic excellence, innovative research, and impactful teaching. His contributions to the field of mathematics, particularly in nonlinear dynamics and fractional models, have established him as a respected figure in the global academic community. Through his research, teaching, and mentorship, he continues to inspire the next generation of mathematicians while advancing knowledge in his field. His dedication to fostering curiosity and critical thinking ensures a lasting legacy, with far-reaching implications for both theoretical and applied mathematics.

 

Yunqi Zhang | Array Antenna | Best Researcher Award

Assoc. Prof. Dr. Yunqi Zhang | Array Antenna | Best Researcher Award

Assoc. Prof. Dr.Yunqi Zhang, Xi’an University of Posts & Telecommunications, China.

Yunqi Zhang is an accomplished Associate Professor and master’s supervisor specializing in Electronic Science and Technology at Xi’an University of Posts and Telecommunications. With a solid academic foundation in Electronic Information Engineering and a doctoral degree in Electromagnetic Field and Wireless Technology, Zhang has built a distinguished career. Zhang’s expertise spans array antennas, vortex electromagnetic waves, intelligent metasurfaces, and reflective array antennas. Significant contributions include leading innovative projects like 5G antenna decoupling technology and advancing the understanding of acoustic wave propagation.

 

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🌟 Early Academic Pursuits

Yunqi Zhang embarked on a journey in the realm of electronic sciences with a solid foundation in Electronic Information Engineering, earning a bachelor’s degree from Xi’an University of Electronic Science and Technology in 2009. Driven by a passion for innovation, Zhang pursued advanced studies and obtained a doctoral degree in Electromagnetic Field and Wireless Technology from the same institution in 2015. These formative years established a robust academic base, equipping Zhang with the expertise to navigate the evolving field of electromagnetic and communication technologies.

📡 Professional Endeavors

Currently serving as an Associate Professor and master’s supervisor at Xi’an University of Posts and Telecommunications, Yunqi Zhang is an integral part of the School of Electronic Engineering. Zhang’s dedication to teaching and mentoring young minds has been instrumental in nurturing future innovators in electronic sciences. Engaging in interdisciplinary projects and fostering collaboration, Zhang consistently bridges theoretical insights with practical applications, inspiring students to excel in the competitive domain of electronic and wireless technology.

🔬 Contributions to Cutting-Edge Research

Zhang’s research pursuits span an array of innovative topics, including array antennas, vortex electromagnetic waves, intelligent metasurfaces, and reflective array antennas. Leading projects such as the 5G Mobile Communication Antenna Decoupling Technology, Zhang has unveiled groundbreaking insights into graphene-based antenna designs. Another notable contribution includes advancing the understanding of acoustic wave propagation phenomena, a project supported by the National Natural Science Foundation of China. Zhang’s research underscores a commitment to expanding the frontiers of wireless communication and signal processing.

🏆 Accolades and Recognition

Yunqi Zhang’s dedication to excellence has garnered acclaim in both academic and professional circles. With over 10 SCI-indexed publications in internationally renowned journals, Zhang’s work has significantly enriched the global discourse on electromagnetic technologies. Recognized for impactful research and contributions, Zhang has established a reputation as a thought leader in electronic and wireless technologies, earning respect and accolades within the scientific community.

🌍 Impact and Influence

Through pioneering research and thoughtful mentoring, Zhang has made a lasting impact on academia and industry. By fostering innovation and leading cross-disciplinary projects, Zhang’s work addresses contemporary challenges in communication and antenna technologies, contributing to societal advancements. The insights derived from Zhang’s research continue to influence emerging technologies, laying a foundation for next-generation solutions in telecommunications.

🧬 Legacy of Innovation

Zhang’s legacy is defined by a relentless pursuit of excellence and a commitment to advancing the field of electronic sciences. By mentoring students and engaging in forward-thinking projects, Zhang ensures the continuation of innovative research that resonates across disciplines. The legacy also lies in the transformative impact Zhang’s research has on modern communication systems, reinforcing the importance of interdisciplinary approaches in solving real-world challenges.

 

📚 Publications

  • Mode Reconfigurable OAM Helical Array Antenna for Higher Mode Generation
    Authors: Zhang, Y., Yang, R., Li, X., Zhang, X., Wang, S.
    Year: 2024

 

  • Wideband Simultaneous Dual Circularly Polarized Phased Array Subarray with Scalable Characteristics for Satellite Communications
    Authors: Zhang, Y., Chen, J., Li, X., Song, X., Zhou, W.
    Year: 2024

 

  • Wideband Low-Profile Fabry-Perot Cavity Antenna with Metasurface
    Authors: Song, X., Dong, A., Li, X., Yang, H., Li, Y.
    Year: 2024

 

  • Enhanced Mode Conversion and Out-of-Band Rejection in Double-Side Composite SSPPs Structure
    Authors: Yang, H., Xiao, Y., Li, X., Fang, Y., Wang, S.
    Year: 2024

 

  • Gain-Enhanced and Mechanical Reconfigurable Slot Antenna with Metasurface
    Authors: Song, X., Dong, A., Li, X., Li, Y., Yang, H.
    Year: 2023

 

  • Circular Monopole Filtering Antenna with Improved Sideband Selectivity and In-Band Impedance Using Circular-Stub-Load Resonator
    Authors: Yang, H., Zhang, J., Li, X., Song, X., Shi, X.
    Year: 2023

 

  • A Compact Circularly Polarized Crossed Dipole Antenna with Wide Bandwidth Using Split Ring Resonator and Parasitic Patches
    Authors: Yang, H., Guo, Z., Li, X., Song, X., Wang, S.
    Year: 2023

 

  • Design of a Miniatured, Electromagnetic Quasi-Yagi Antenna with Circularly Polarized Characteristics
    Authors: Zhang, Y., Liu, L., Sun, Z., Che, J., Li, H.
    Year: 2023

 

  • Analysis and Design of Broadband OAM Array Antenna
    Authors: Zhang, Y., Zhao, S., Li, X., Wang, L.
    Year: 2023

 

  • A Broadband Elliptical Microstrip Antenna with Gain-Filtering Response
    Authors: Du, X., Li, Y., Li, X., Zhang, Y.
    Year: 2023

 

Conclusion

Through a commitment to excellence in research and teaching, Yunqi Zhang has significantly influenced the fields of electronic and wireless communication. By bridging theoretical insights with practical applications, Zhang’s work not only addresses current technological challenges but also inspires future generations of scientists and engineers. With a forward-looking vision for innovation and collaboration, Zhang’s contributions promise to drive advancements in telecommunications and solidify a lasting legacy in the field.

 

 

Elaine Carmo | Engineering | Women Researcher Award

Mrs. Elaine Carmo | Engineering | Women Researcher Award

Mrs. Elaine Carmo, UFMG, Brazil.

Elaine Cristina do Carmo is a distinguished electrical engineer with over two decades of experience and a robust academic background. Her career journey began with a solid foundation in technical education, leading to advanced degrees, including a Master’s in Power Systems and an ongoing PhD in the same field. Elaine has been a driving force in industrial energy systems, particularly at Gerdau S.A., where she spearheaded innovative maintenance solutions, enhanced system reliability, and developed tools to detect faults in high-voltage cables. Her international expertise, demonstrated through projects in China and India, underscores her global impact. Elaine has also excelled in leadership roles, contributing significantly to the energy and utility sector while ensuring compliance with industry standards.

 

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🌱 Early academic pursuits

Elaine Cristina do Carmo’s journey into the realm of electrical engineering began with a strong foundation in technical education. Completing a Technical Degree in Electronics at POLIMIG in 1997, she demonstrated early aptitude for engineering. Her commitment to academic excellence culminated in a Bachelor’s in Electrical Industrial Engineering from Centro Federal de Educação Tecnológica (CEFET/MG) in 2003. She further expanded her expertise with a Master’s in Power Systems from the Universidade Federal de Minas Gerais (UFMG) in 2010, delving into the intricacies of energy systems. Elaine pursued an MBA in the Electrical Sector at Fundação Getúlio Vargas in 2015, showcasing her dedication to blending technical knowledge with leadership skills. Currently, she is advancing her research with a PhD in Power Systems at UFMG, focusing on innovative solutions to challenges in electrical cable fault detection.

⚡ Professional endeavors

Elaine’s professional career spans over two decades, marked by technical prowess and leadership. Beginning as a Technical Intern at Mannesmann in 1998, she honed her skills in industrial electronics. Her tenure at CEMIG as an Undergraduate Intern involved significant contributions to project management and energy distribution systems. Since 2004, she has been a cornerstone at Gerdau S.A., serving as a Senior Electrical Maintenance Specialist. Here, she has been instrumental in implementing enhancements to power systems, conducting advanced electrical studies, and developing maintenance solutions that ensure operational reliability.

🔬 Contributions and research focus

Elaine’s research endeavors focus on the practical and theoretical aspects of electrical engineering. Her master’s dissertation introduced advancements in direct current converters for rolling mills, reducing disruptions caused by voltage sags. Her PhD work is centered on developing hardware and software tools for locating incipient faults in medium- and high-voltage cables, a significant innovation in power systems reliability. These studies not only address critical challenges but also drive technological progress in the energy sector.

🌍 Accolades and recognition

Elaine’s international expertise has led her to collaborate on major global projects. She oversaw electrical expansions at Gerdau’s Ouro Branco Plant during a visit to China in 2005 and contributed to the construction of a 132kV transmission line at Gerdau Kalyani Steel in India in 2012. Her leadership was also evident in coordinating the prestigious ABM Energy and Utilities Seminar (2013/2014) and serving as Coordinator of the Internal Energy Management Committee (CIGE) at the Ouro Branco Plant. Her technical acumen and ability to lead high-impact initiatives have earned her respect in the industry.

💡 Impact and influence

Elaine’s work has significantly influenced the energy and utility sector, particularly through her expertise in electrical system protection, maintenance methodologies, and compliance with NR10 standards. Her development of innovative tools for energy source lockout and fault detection has improved safety and reliability across installations. Through her academic projects and professional contributions, she continues to inspire advancements in sustainable and efficient energy solutions.

🌟 Legacy and future contributions

Elaine’s legacy lies in her commitment to excellence and her transformative contributions to the field of electrical engineering. With her ongoing PhD research and her dedication to mentoring and leading teams, she is poised to leave an enduring impact on the energy sector. Her willingness to relocate and adapt underscores her readiness to embrace new challenges, ensuring her work continues to benefit both local and global communities.

 

📚 Publications

  • Title: Analysis of water pumps start powered by diesel generator
    Authors: Carmo, E.C., Onofri, V.C., Mendes, V.F.
    Year: 2018

 

  • Title: Starting large induction motors alternatives for emergency generation system
    Authors: Carmo, E.C., Mendes, V.F., Santos, M.F., Silva, L.A.
    Year: 2018

 

Conclusion

Elaine Cristina do Carmo exemplifies a blend of technical brilliance, research innovation, and professional leadership. Her contributions to electrical maintenance, energy system reliability, and fault detection have made a lasting impact on the industry. With her PhD research and future endeavors, Elaine is poised to continue shaping the energy sector, leveraging her expertise to advance sustainable and efficient power systems worldwide. Her dedication to excellence and adaptability ensure her legacy will inspire progress for years to come.

 

 

Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

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.

 

 

Jing Du | Neuropsychopharmacology | Best Researcher Award

Prof. Jing Du | Neuropsychopharmacology | Best Researcher Award

Prof. Jing Du, Beijing Anding Hospital affiliated to Capital Medical University, China.

Prof. Jing Du is a distinguished professor, Ph.D. advisor, and accomplished researcher at Beijing Anding Hospital, affiliated with Capital Medical University. With a strong academic foundation, including her B.M. from Beijing University, Health Science Center, and Ph.D. from Rutgers University, she has made significant strides in mental health research. Her work bridges Traditional Chinese Medicine (TCM) and modern neuroscience, focusing on developing innovative drugs for psychiatric disorders. Through groundbreaking research on molecules like cordycepin (3’-dA), Dr. Du has contributed to understanding neuroimmune mechanisms and creating novel therapeutic approaches for treatment-resistant depression and anxiety. Her efforts are shaping the future of mental health care and inspiring new paths in interdisciplinary research.

 

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🌱 Early Academic Pursuits

Prof. Jing Du embarked on her academic journey with a passion for unraveling the complexities of mental health. She earned her Bachelor of Medicine from the prestigious Beijing University, Health Science Center, and pursued her doctoral studies at Rutgers University, The State University of New Jersey. These foundational years laid the groundwork for her to merge the realms of neuroscience and Traditional Chinese Medicine (TCM), equipping her with a unique perspective to address global mental health challenges.

💼 Professional Endeavors

Currently, Prof. Jing Du serves as a professor and Ph.D. advisor at Beijing Anding Hospital, affiliated with Capital Medical University. She also boasts an illustrious tenure as a translational scientist at the National Institute of Mental Health, NIH, USA. Her career reflects a harmonious blend of academic rigor and clinical expertise, emphasizing innovation in drug development and collaboration with clinicians to improve mental health treatments.

🌿 Contributions and Research Focus

Prof. Du’s research stands at the intersection of neuroscience and TCM. Her work focuses on isolating single molecules from herbal remedies to develop groundbreaking treatments for psychiatric disorders. By identifying drug targets and exploring molecular mechanisms, she bridges traditional wisdom with modern science. Her notable project on cordycepin (3’-dA) demonstrated its rapid antidepressant effects and potential to modulate neuroimmune responses, offering hope for patients with treatment-resistant depression.

🏆 Accolades and Recognition

Prof. Du’s groundbreaking work has earned her recognition in the scientific community, with her studies published in high-impact journals such as Neuropsychopharmacology. Her innovative approaches have set benchmarks in mental health research, particularly her efforts to uncover novel therapeutic mechanisms. Her dedication continues to inspire peers and mentees in the field.

🌍 Impact and Influence

Through her interdisciplinary approach, Dr. Du has significantly influenced both academic and clinical domains. Her research has not only advanced scientific understanding but also paved the way for the integration of TCM into modern psychiatric care. By addressing the unmet needs of patients with mental illnesses, her work has the potential to transform treatment paradigms on a global scale.

💡 Legacy and Future Contributions

Prof. Du envisions a future where the fusion of traditional and modern medicine leads to innovative, effective treatments for psychiatric disorders. Her ongoing research and mentorship ensure that her legacy will continue to inspire new generations of scientists committed to mental health. As a pioneer in her field, she remains a steadfast advocate for holistic and evidence-based approaches to care.

✨ Bridging Science and Humanity

Prof. Jing Du’s work exemplifies a commitment to bridging the gap between scientific discovery and human well-being. Her efforts to develop accessible, impactful treatments reflect her dedication to addressing the global burden of mental health disorders. With every step forward, she embodies the spirit of innovation, compassion, and perseverance, leaving an indelible mark on the world of psychiatric medicine.

📚 Publications

  1. Title: An insightful comparison of the current neuroimmune mechanism(s) with the thoughts of differential syndromes from traditional Chinese medicine for the treatment of MDD
    Authors: Jiyi Xu, Yi Zhang, Lei Li, Xiaodong Zhao, Feilong Huang, Jing Du
    Year: 2025

 

  1. Title: Ganoderic acid A ameliorates depressive-like behaviors in CSDS mice: Insights from proteomic profiling and molecular mechanisms
    Authors: Xu, Jin-jie; Kan, Wei-jing; Wang, Tian-yi; Li, Lei; Zhang, Yi; Ge, Zi-yu; Xu, Ji-yi; Yin, Zi-jia; Feng, Yuan; Wang, Gang et al.
    Year: 2024

 

  1. Title: Quantitative proteomics combined independent PRM analysis reveals the mitochondrial and synaptic mechanism underlying norisoboldine’s antidepressant effects
    Authors: Li, Lei; Kan, Weijing; Zhang, Yi; Wang, Tianyi; Yang, Feng; Ji, Tengfei; Wang, Gang; Du, Jing
    Year: 2024

 

  1. Title: Utilizing plasma drug levels and genetic testing to achieve optimal treatment response in a patient with treatment-resistant schizoaffective disorder
    Authors: Xu, Jin-jie; Xiao, Chunfeng; Pan, Yanli; Tang, Yi-lang; Wang, Mingwan; Li, Sheng; Xie, Gaoming; Du, Jing; Ren, Yanping; Wang, Wei
    Year: 2024

 

  1. Title: Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study
    Authors: Wang, Wei; Du, Jing; Li, Sheng; Xie, Gaoming; Xu, Jinjie; Ren, Yanping
    Year: 2023

 

  1. Title: The FXR mediated anti-depression effect of CDCA underpinned its therapeutic potentiation for MDD
    Authors: Li, Haoran; Zhu, Xuequan; Xu, Jinjie; Li, Lei; Kan, Weijing; Bao, Hongkun; Xu, Jiyi; Wang, Weiwei; Yang, Yang; Chen, Pei et al.
    Year: 2023

 

  1. Title: The Dectin-1 Receptor Signaling Pathway Mediates the Remyelination Effect of Lentinan through Suppression of Neuroinflammation and Conversion of Microglia
    Authors: Zhang, Dandan; Jia, Yue; Sun, Xingzong; Li, Haoran; Yin, Min; Li, Hongliang; Dai, Lili; Han, Li; Wang, Lei; Qian, Menghan et al.
    Year: 2022

 

  1. Title: Activation of FXR by ganoderic acid A promotes remyelination in multiple sclerosis via anti-inflammation and regeneration mechanism
    Authors: Jia, Yue; Zhang, Dandan; Li, Haoran; Luo, Shaolei; Xiao, Yuhuan; Han, Li; Zhou, Fuchun; Wang, Chuanyue; Feng, Lei; Wang, Gang et al.
    Year: 2021

 

  1. Title: Ganoderma lucidum polysaccharides ameliorated depression-like behaviors in the chronic social defeat stress depression model via modulation of Dectin-1 and the innate immune system
    Authors: Li, Haoran; Xiao, Yuhuan; Li Han; Jia, Yue; Luo, Shaolei; Zhang, Dandan; Zhang, Ling; Wu, Peng; Xiao, Chunjie; Kan, Weijing et al.
    Year: 2021

 

  1. Title: Interactions Between Adenosine Receptors and Cordycepin (3′- Deoxyadenosine) from Cordyceps Militaris: Possible Pharmacological Mechanisms for Protection of the Brain and the Amelioration of Covid-19 Pneumonia
    Authors: Jing Du; Weijing Kan; Hongkun Bao; Yue Jia; Jian Yang; Hongxiao Jia
    Year: 2021

 

Conclusion

Prof. Jing Du’s career is a testament to the power of integrating traditional knowledge with cutting-edge science. Her impactful research and dedication to addressing mental health challenges highlight her as a pioneer in the field. By fostering collaboration between researchers and clinicians, she is paving the way for transformative advancements in psychiatry. Dr. Du’s legacy lies not only in her scientific contributions but also in her commitment to improving the lives of individuals struggling with mental illness worldwide.

 

Sunday Aboyeji | Feature selection | Best Researcher Award

Mr. Sunday Aboyeji | Feature selection | Best Researcher Award

Mr. Sunday Aboyeji, Shenzhen Institutes of Advanced Technology, China.

Sunday Timothy Aboyeji is an accomplished researcher in computational science and biomedical signal processing. With an impressive academic foundation in physics and communication science, he has pursued groundbreaking research in patient-independent seizure classification using EEG data. His work combines advanced algorithms, deep learning, and explainable AI to enhance the accuracy and interpretability of diagnostic tools for epilepsy and other neurological disorders. His dedication to interdisciplinary collaboration and his contributions to high-impact publications reflect his influence in the field.

 

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📚 Early academic pursuits

Sunday Timothy Aboyeji began his academic journey with an unwavering passion for physical and computational sciences. Earning his Bachelor of Technology in Physics/Electronics from the Federal University of Technology, Minna, Nigeria, he graduated with first-class honors and a stellar GPA of 4.61/5.00. His undergraduate thesis, which explored the simulation of radiofrequency radiation effects on the brain, laid the foundation for his future endeavors in biomedical signal processing. He further honed his expertise by completing a Master’s degree in Communication Physics at the Federal University of Technology, Akure, Nigeria, achieving an outstanding GPA of 4.86/5.00. His master’s research on radioclimatic variables and refractivity modeling highlighted his ability to blend theoretical knowledge with practical applications.

🔬 Professional endeavors

Sunday is currently pursuing a Ph.D. in Pattern Recognition and Intelligent Systems at the University of Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China. His doctoral dissertation focuses on developing patient-independent EEG-based seizure classification algorithms. Over the course of his research, he has designed cutting-edge solutions integrating signal processing, feature engineering, and deep learning. His projects include unsupervised seizure detection, feature fusion of Gramian angular fields, and domain adaptation frameworks, all aimed at revolutionizing epilepsy diagnosis. Beyond his academic achievements, he is an active member of IEEE and serves as a certified first-aider in Shenzhen, demonstrating his dedication to community service and professional growth.

🧠 Contributions and research focus

Sunday’s research has profoundly impacted computational science and biomedical signal processing. He specializes in the analysis of EEG, EMG, and other complex biomedical signals using advanced algorithms and explainable AI techniques. His groundbreaking work emphasizes the interpretability of deep learning models, enabling better diagnostic tools for epilepsy and other neurological disorders. By transforming biomedical signals into visual spectrograms and leveraging hybrid feature selection frameworks, he has created highly accurate and reliable classification models that support patient care and advance brain-computer interface technology.

🏆 Accolades and recognition

Sunday’s academic excellence has been recognized through multiple awards, including the prestigious Chinese Government Scholarship for his Ph.D. studies. His undergraduate achievements earned him commendations from his university dean. These accolades reflect his dedication to academic rigor and his ability to excel in highly competitive environments. He has also been invited to serve as a peer reviewer for leading journals, further solidifying his reputation as a rising star in his field.

🌍 Impact and influence

Through collaborative efforts with international scholars and researchers, Sunday has contributed to several high-impact publications in journals such as Computers in Biology and Medicine and the IEEE Journal of Biomedical and Health Informatics. His work on robust seizure detection and interpretable machine learning models has set a benchmark for researchers in biomedical signal processing. These contributions not only enhance patient diagnostics but also pave the way for more accessible healthcare technologies.

🌟 Legacy and future contributions

Sunday aspires to leave a legacy as a trailblazer in biomedical signal processing and computational sciences. His ongoing research on domain adaptation frameworks promises to address patient-specific challenges, making diagnostic systems more generalized and inclusive. He envisions leveraging his expertise to develop innovative solutions that enhance the quality of life for individuals with neurological disorders, ensuring his work continues to inspire and benefit the global scientific community.

💡 Dedication to innovation

Sunday’s career exemplifies a commitment to innovation, interdisciplinary collaboration, and societal impact. With his technical skills in Python, TensorFlow, and Pytorch, coupled with a deep understanding of signal processing and pattern recognition, he remains at the forefront of research in his field. His dedication to integrating advanced technology with real-world applications underscores his role as a visionary researcher and advocate for progress in medical diagnostics.

📚 Publications

  • Title: Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach
    Authors: Ijaz Ahmad, Zhenzhen Liu, Lin Li, Inam Ullah, Sunday Timothy Aboyeji, Xin Wang, Oluwarotimi Williams Samuel, Guanglin Li, Yuan Tao, Yan Chen, et al.
    Year: 2024

 

  • Title: Automatic Detection of Epileptic Seizure Based on One Dimensional Cascaded Convolutional Autoencoder with Adaptive Window-Thresholding
    Authors: Sunday Timothy Aboyeji, Xin Wang, Yan Chen, Ijaz Ahmad, Lin Li, Zhenzhen Liu, Chen Yao, Guoru Zhao, Yu Zhang, Guanglin Li, et al.
    Year: 2024

 

  • Title: Feature Fusion of Gramian Angular Field Deep Learning EEG-Based Epileptic Seizure Classification
    Authors: Sunday Timothy Aboyeji, Xin Wang, Yan Chen, Ijaz Ahmad, Lin Li, Zhenzhen Liu, Chen Yao, Yu Zhang, Guoru Zhao, Guanglin Li, et al.
    Year: 2024

 

  • Title: Modeling of Atmospheric Primary Radioclimatic Variables in Nigeria for Microwave Radio Propagation Applications
    Authors: Falodun, S.E., Ojo, J.S., Aboyeji, S.T.
    Year: 2021

 

Conclusion

Sunday’s journey exemplifies a relentless pursuit of knowledge and innovation. From his academic excellence in Nigeria to his impactful research at the Shenzhen Institute of Advanced Technology, he has made meaningful strides in advancing patient care through computational science. With a clear vision for the future, his contributions promise to continue shaping the landscape of biomedical signal processing and inspire further advancements in medical diagnostics.