Ali Alqudah | Biomedical Engineeringl | Young Scientist Award

Mr. Ali Alqudah | Biomedical Engineeringl | Young Scientist Award

Mr at University of Manitoba, Canada

Ali Mohammad Alqudah, M.Sc., is a dedicated Graduate Research Assistant at the Biomedical Instrumentation and Signal Analysis Lab, Biomedical Engineering Program, University of Manitoba (UoM), Canada. With a strong foundation in computer and biomedical systems engineering, he has contributed significantly to research in machine learning and biomedical applications. Ali is affiliated with multiple professional organizations, including IEEE and ACM, and has been consistently recognized for his academic excellence, notably featuring on Stanfordā€™s top 2% scientist list from 2021 to 2024. His editorial roles in prestigious journals further highlight his expertise and influence in his field. Aliā€™s research and professional activities reflect his commitment to advancing the integration of AI and biomedical engineering.

Profile

Scopus

Scholar

Education šŸŽ“

Ali Mohammad Alqudah is currently pursuing his Ph.D. in Biomedical Engineering at the University of Manitoba, where he specializes in deep learning applications for medical conditions such as obstructive sleep apnea (OSA). His research under Prof. Zahra Moussavi focuses on innovative diagnostic methods using tracheal breathing sounds during wakefulness. Alqudahā€™s educational journey began with a B.S.E. in Biomedical Systems Engineering from Yarmouk University, Jordan (2015), followed by an M.Sc. in Computer Engineering (Industrial Automation) in 2018, where he graduated first in his class with a GPA of 91.4%. His academic training includes advanced coursework in biomedical signal processing and medical imaging, shaping his expertise in computational biomedical applications.

Ā Experience šŸ’¼

Ali Mohammad Alqudahā€™s professional trajectory includes extensive research and teaching experiences. He is currently a Graduate Research Assistant at the University of Manitoba, contributing to cutting-edge studies in biomedical signal processing and AI applications in healthcare. His work has involved deep learning models for OSA detection and other diagnostic innovations. Alqudahā€™s prior roles include academic assistantships and involvement in laboratory teaching at Yarmouk University. His contributions are marked by the practical integration of machine learning and engineering skills, advancing research that bridges technology and medicine. Ali has also served in editorial capacities for prominent journals, showcasing his thought leadership and commitment to scholarly dissemination.

Awards and Honors šŸ†

Ali Mohammad Alqudahā€™s exceptional contributions have earned him spots on Stanfordā€™s prestigious list of the top 2% of scientists worldwide for four consecutive years (2021-2024). His outstanding academic performance during his M.Sc. at Yarmouk University led to him graduating first in his class. Aliā€™s scholarly output has been widely recognized, with publications in high-impact journals and conference proceedings. His membership in professional organizations such as IEEE and ACM further testifies to his active engagement in the scientific community. These honors reflect his deep commitment to advancing research in biomedical engineering, signal processing, and artificial intelligence.

Research Focus šŸ”

Ali Mohammad Alqudahā€™s research centers on the intersection of artificial intelligence and biomedical engineering. His primary areas of interest include machine learning and deep learning for medical diagnostics, biomedical signal and image processing, and computer applications in healthcare. His current Ph.D. work explores the application of deep learning for detecting obstructive sleep apnea using non-invasive tracheal breathing sound analysis. Alqudahā€™s studies incorporate advanced techniques in pattern recognition and AI to improve patient screening and diagnostic accuracy. His commitment to leveraging AI for enhanced medical outcomes positions him as a key contributor to innovations in healthcare technology.

Conclusion šŸ“

Ali Mohammad Alqudahā€™s distinguished academic and research career, combined with his technical proficiency and global recognition, make him a strong candidate for the Young Scientist Award. His ongoing work in deep learning for medical diagnostics has the potential to revolutionize early disease detection methods, providing tangible advancements in healthcare technology. With minor enhancements in collaborative and mentorship activities, Alqudah could further solidify his position as a future leader in biomedical engineering research.

Publications šŸ“š

  • Title: Sliding window based deep ensemble system for breast cancer classification
    Year: 2021
    Authors: A Alqudah, AM Alqudah
    Journal: Journal of Medical Engineering & Technology 45 (4), 313-323

 

  • Title: Reduced number of parameters for predicting post-stroke activities of daily living using machine learning algorithms on initiating rehabilitation
    Year: 2021
    Authors: AM Alqudah, M Al-Hashem, A Alqudah
    Journal: Informatica 45 (4)

 

  • Title: Advanced time-frequency methods for ECG waves recognition
    Year: 2023
    Authors: A Zyout, H Alquran, WA Mustafa, AM Alqudah
    Journal: Diagnostics 13 (2), 308

 

  • Title: Pulmonary Diseases Decision Support System Using Deep Learning Approach
    Year: 2022
    Authors: Y Al-Issa, AM Alqudah, H Alquran, A Al Issa
    Journal: Computers, Materials & Continua 73 (1), 311-326

 

  • Title: An embedded system based on raspberry pi for effective electrocardiogram monitoring
    Year: 2023
    Authors: YM Obeidat, AM Alqudah
    Journal: Applied Sciences 13 (14), 8273

 

  • Title: Enhancing Prediction of Prosthetic Fingers Movement Based on sEMG Using Mixtures of Features and Random Forest
    Year: 2019
    Authors: WN Al-Sharu, AM Alqudah
    Journal: International Journal of Recent Technology and Engineering (IJRTE) 8 (4)

 

  • Title: International Journal of Advanced Trends in Computer Science and Engineering
    Year: 2019
    Authors: AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah, W Al-Sharu
    Journal: International Journal 8 (6)

 

  • Title: EOG-based mouse control for people with quadriplegia
    Year: 2016
    Author: AM Alqudah
    Journal: XIV Mediterranean Conference on Medical and Biological Engineering and ā€¦

 

  • Title: A New Weighted Deep Learning Feature Using Particle Swarm and Ant Lion Optimization for Cervical Cancer Diagnosis on Pap Smear Images
    Year: 2023
    Authors: M Alsalatie, H Alquran, WA Mustafa, A Zyout, AM Alqudah, R Kaifi, …
    Journal: Diagnostics 13 (17), 2762

 

  • Title: The Internet of Things in Healthcare: A survey for Architecture, Current and Future Applications, Mobile Application, and Security
    Year: 2019
    Author: AM Alqudah
    Journal: JOIV: International Journal on Informatics Visualization 3 (2), 113-122

 

  • Title: Detection of valvular heart diseases using fourier transform and simple cnn model
    Year: 2022
    Authors: WN Al-Sharu, AM Alqudah, S Qazan, A Alqudah
    Journal: IAENG International Journal of Computer Science 49 (4), 985-993

 

  • Title: Automated diagnosis of heart-lung diseases in chest X-ray images
    Year: 2022
    Authors: M Alslatie, H Alquran, WA Mustafa, I Abu-Qasmieh, AM Alqudah, …
    Journal: 2022 5th International Conference on Engineering Technology and its ā€¦

 

goto kyosuke | Medicine| Best Researcher Award

Mr. goto kyosuke | Medicine | Best Researcher Award

Mr at Fukuoka University, Japan

Kyosuke Goto is a physical therapist specializing in sports rehabilitation and research on sports injuries. Currently a PhD student at Fukuoka Universityā€™s Graduate School of Sports and Health Science, Goto has been an integral part of the Department of Rehabilitation at Fukuoka University Hospital since 2012, focusing on the sports rehabilitation team. His research contributions, particularly in sports-related concussions, have been published widely, influencing rehabilitation practices.

Profile

Scopus

Education šŸŽ“

Goto holds a Bachelor of Physical Therapy from Teikyo University of Faculty of Medical Technology, Japan (2012). He is currently pursuing his PhD at Fukuoka Universityā€™s Graduate School of Sports and Health Science, which reflects his dedication to advancing his expertise in sports rehabilitation and injury research.

Experience šŸ§‘ā€šŸ«

Since April 2012, Goto has worked in the Department of Rehabilitation at Fukuoka University Hospital, contributing significantly to the Sports Rehabilitation Team. His role focuses on rehabilitation for athletes, assisting with recovery from injuries and optimizing their performance, while continuously refining techniques for injury prevention.

Awards and Honors šŸ†

Goto has received notable recognition for his research, with multiple publications in esteemed journals such as Brain Science and Assistive Technology. His innovative contributions, particularly in concussion research and rehabilitation methods, have established him as a leading expert in the field of sports rehabilitation.

Research Focus šŸ”

Gotoā€™s research primarily revolves around sports-related injuries, with a strong emphasis on concussions and innovative rehabilitation techniques. He has explored the epidemiology of concussions in university athletes and the application of Hybrid Assistive Limb technology in rehabilitation following surgeries like total knee and hip arthroplasties.

ConclusionšŸ“

Kyosuke Goto is undoubtedly a strong contender for the Best Researcher Award. His contributions to sports rehabilitation, particularly in the area of concussions, demonstrate both a deep understanding of the clinical challenges faced by athletes and a commitment to improving their recovery processes. Gotoā€™s research has the potential to influence sports injury prevention and rehabilitation protocols worldwide, and his use of innovative technologies like HAL highlights his forward-thinking approach. With some expansion in the scope of his research and further collaborations, Kyosuke Goto has the potential to make even greater strides in enhancing the quality of care for athletes.

Publications šŸ“š

  1. Title: Characteristics of Intracranial Kinetic Loads When Sports-Related Concussion Occurs in Menā€™s Rhythmic Gymnastics
    Year: 2024
    Authors: Otsubo, S., Shigemori, Y., Endo, S., Masuda, K., Zhang, Y.
    Source: Brain Sciences, 14(8), 835

 

  1. Title: Epidemiology of Sports-Related Concussion in Japanese University Soccer Players
    Year: 2024
    Authors: Fukushima, H., Shigemori, Y., Otsubo, S., Tsurusaki, R., Inui, M.
    Source: Brain Sciences, 14(8), 827

 

  1. Title: The Significance of Off-Season Tailor-Made Baseline Measurements in the Assessment of Post-Concussion in University Athletes
    Year: 2024
    Authors: Goto, K., Shigemori, Y., Tanabe, Y., Shimozono, H., Murakami, J.
    Source: Brain Sciences, 14(7), 698

 

  1. Title: Survey on Sports-Related Concussions Among Japanese University Students
    Year: 2022
    Authors: Otsubo, S., Shigemori, Y., Fukushima, H., Yamaguchi, K., Otsuka, N.
    Source: Brain Sciences, 12(11), 1557

 

  1. Title: Hybrid Assistive Limb Improves Restricted Hip Extension After Total Hip Arthroplasty
    Year: 2022
    Authors: Setoguchi, D., Kinoshita, K., Kamada, S., Inoue, T., Yamamoto, T.
    Source: Assistive Technology, 34(1), 112ā€“120

 

  1. Title: Feasibility of Rehabilitation Using the Single-Joint Hybrid Assistive Limb to Facilitate Early Recovery Following Total Knee Arthroplasty: A Pilot Study
    Year: 2017
    Authors: Goto, K., Morishita, T., Kamada, S., Sankai, Y., Inoue, T.
    Source: Assistive Technology, 29(4), 197ā€“201

mehmet nur kaya | rheumatology | Best Researcher Award

Dr. mehmet nur kaya | rheumatology | Best Researcher Award

Dr at gĆ¼lhane training and research hospital, Turkey

The study titledĀ ā€œImpact of Central Sensitization on Clinical and Functional Aspects of Psoriatic Arthritisā€Ā by Mehmet Nur Kaya et al. examines the prevalence of central sensitization (CS) in patients with psoriatic arthritis (PsA). Conducted with 103 PsA patients, the research used the Central Sensitization Inventory (CSI) to assess CSā€™s influence on clinical and functional markers such as disease activity, sleep quality, depression, and anxiety. The study found that 65.1% of the patients had CS, with the Psoriasis Area Severity Index (PASI), General Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI) emerging as significant predictors of CS. Patients with CS demonstrated higher BMI and disease activity scores. The research highlights the importance of considering CS when assessing pain sensitivity in PsA patients. These findings underscore the potential impact of CS on clinical management, with implications for treatment strategies aimed at improving quality of life in PsA patients.

 

Publication profile

Scopus

šŸŽ“ Education

Dr. Mehmet Nur Kaya is a distinguished researcher in rheumatology, having earned his medical degree from a reputable institution. He pursued further specialization in rheumatology and is currently affiliated with the Rheumatology Department at GĆ¼lhane Training and Research Hospital, University of Health Sciences in Turkey. His commitment to understanding complex rheumatic diseases, especially psoriatic arthritis (PsA), reflects his dedication to advancing medical knowledge through continuous learning and hands-on experience.

šŸ‘Øā€āš•ļø Professional Experience

As a dedicated rheumatologist, Dr. Kaya has extensive experience in the study and management of PsA and other rheumatic conditions. His contributions to understanding the clinical and functional impacts of central sensitization (CS) on PsA patients are significant. He has led numerous observational studies focusing on pain sensitivity, quality of life, disease activity, and treatment outcomes. Utilizing patient-centric assessments like the Central Sensitization Inventory (CSI), Dr. Kaya has shaped treatment protocols, improving patient care and outcomes. His commitment to clinical expertise and research continues to enhance the quality of life for individuals affected by chronic inflammatory diseases.

šŸ”¬ Research Skills

Dr. Kaya possesses essential research skills that include:

Critical Thinking: Evaluating sources and synthesizing diverse viewpoints. Methodology Proficiency: Designing studies and collecting valid data using quantitative and qualitative approaches. Effective Communication: Clearly articulating findings through written reports and presentations. Organizational Skills: Managing research timelines and resources efficiently. Digital Tool Familiarity: Accessing and utilizing a wide range of resources. Ethical Considerations: Upholding integrity and confidentiality in research.

 

Publication

  1. Indices and ferritin level that predict organ involvement in adult-onset Still’s disease
    Authors: Kaya, M.N., KılıƧ, Ɩ., GĆ¼neş, E.Ƈ., Tecer, D., Yılmaz, S.
    Journal: Biomarkers in Medicine, 2024
    Citations: 0

 

  1. Drug-free remission is an achievable target with immunosuppressive treatment in idiopathic granulomatous mastitis
    Authors: Kaya, M.N., Tekgƶz, E., Ƈolak, S., Ƈınar, M., Yılmaz, S.
    Journal: Irish Journal of Medical Science, 2023, 192(6), pp. 2815ā€“2819
    Citations: 3

 

  1. Can pre-treatment inflammatory biomarker levels predict the response of tocilizumab therapy in COVID-19 patients?
    Authors: Kaya, M.N., Tecer, D., Ƈınar, M., Ƈolak, S., Yılmaz, S.
    Journal: Gulhane Medical Journal, 2023, 65(4), pp. 145ā€“151
    Citations: 1

 

  1. Hospital-acquired anemia in chronic kidney disease
    Authors: Kaya, M.N., Caner, B., Toprak, Ɩ.
    Journal: International Journal of Scientific and Technology Research, 2019, 8(4), pp. 160ā€“166
    Citations: 0

šŸ” Conclusion

Dr. Mehmet Nur Kaya is a dedicated and accomplished rheumatologist whose extensive clinical experience and significant research contributions make him an excellent candidate for the Best Researcher Award. His strengths, particularly in patient-centric research and commitment to advancing medical knowledge, position him as a leader in the field of rheumatology. By focusing on expanding his publication record, seeking funding opportunities, and fostering collaborative initiatives, Dr. Kaya can further elevate his contributions to rheumatology and improve the lives of those affected by chronic inflammatory diseases. His innovative approaches and commitment to patient care underscore his potential to make a lasting impact in the field.

Abolfazl Akbari |Physiology Award | Best Researcher Award

Dr. Abolfazl Akbari | Physiology Award | Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

As a dedicated physiologist currently serving as a research assistant at the University of Mazandaran in Babolsar, Iran, I am deeply committed to unraveling the fundamental mechanisms underlying physiological processes. My research primarily focuses on understanding the intricate regulation of inhibitory and excitatory neural pathways controlling heart rate and blood pressure within the paraventricular nucleus of the hypothalamus and medulla. Additionally, I am passionate about investigating basic mechanisms such as inflammation, oxidative stress, and autophagy in metabolic disorders such as diabetes and cancer. My goal is to develop innovative approaches, including nanomaterials and herbal remedies, for the treatment of various disorders including reproductive, neurodegenerative, and metabolic diseases.

šŸŒ Professional Profiles

šŸŽ“Education

PhD in Physiology (2013-2017) from Shiraz University, with a dissertation on the cardiovascular effects of resistin injection into the paraventricular nucleus in male rats. Master of Science in Physiology (2010-2012) from Shiraz University, with research on the prophylactic effects of Vitamin C on oxidative stress induced by radiofrequency waves.

Ā šŸ”¬Experience

Researcher and lecturer at Mazandaran University since 2019, focusing on projects related to the effects of endurance exercise on cardiac ATP-sensitive potassium channels and the efficacy of a ketogenic diet combined with zinc and selenium nanoparticles for gastric cancer treatment. Previous lecturing positions at Amol University of Special Modern Techniques (2016-2019) and Malayer University (2016-2017).

 

Skill Highlights

Proficient in stereotaxic surgery and microinjections, Experienced in creating animal models for cancers, heart diseases, hypertension, and reproductive disorders, Skilled in molecular techniques such as PCR and Real-time PCR, Competent in statistical analysis and graphical representation of data

šŸ“šTop Noted Publication

  1. Title: The Protective Effect of Hydroalcoholic Extract of Zingiber officinale Roscoe (Ginger) on Ethanol-Induced Reproductive Toxicity in Male Rats
    • Journal: Journal of evidence-based complementary & alternative medicine
    • Volume: 22
    • Issue: 4
    • Pages: 609-617
    • Year: 2017
    • DOI: 10.3390/cancers13112599

 

  1. Title: An overview of the characteristics and function of vitamin C in various tissues: relying on its antioxidant function
    • Journal: Zahedan Journal of Research in Medical Sciences (Tabib-e-Shargh)
    • Volume: 18
    • Issue: 11
    • Pages: 0-0
    • Year: 2016

 

  1. Title: Effects of Citrullus colocynthis L. in a rat model of diabetic neuropathy
    • Journal: Journal of Integrative Medicine
    • Volume: 18
    • Issue: 1
    • Pages: 59-67
    • Year: 2020

 

  1. Title: The prophylactic effect of vitamin C on induced oxidative stress in rat testis following exposure to 900 MHz radio frequency wave generated by a BTS antenna model
    • Journal: Electromagnetic biology and medicine
    • Volume: 32
    • Issue: 3
    • Pages: 409-416
    • Year: 2013

 

  1. Title: Vitamin C protects rat cerebellum and encephalon from oxidative stress following exposure to radiofrequency wave generated by a BTS antenna model
    • Journal: Toxicology mechanisms and methods
    • Volume: 24
    • Issue: 5
    • Pages: 347-352
    • Year: 2014

 

  1. Title: The prophylactic effect of vitamin C on oxidative stress indexes in rat eyes following exposure to radiofrequency wave generated by a BTS antenna model
    • Journal: International journal of radiation biology
    • Volume: 89
    • Issue: 2
    • Pages: 128-131
    • Year: 2013

 

  1. Title: Oil and extract of safflower seed improve fructose induced metabolic syndrome through modulating the homeostasis of trace elements, TNF-Ī± and fatty acids metabolism
    • Journal: Journal of ethnopharmacology
    • Volume: 254
    • Pages: 112721
    • Year: 2020

 

  1. Title: Thyme oxymel by improving of inflammation, oxidative stress, dyslipidemia and homeostasis of some trace elements ameliorates obesity induced by high-fructose/fat diet in male rat
    • Journal: Biomedicine & Pharmacotherapy
    • Volume: 126
    • Pages: 110079
    • Year: 2020

 

  1. Title: The effect of oxidative stress and antioxidants on men fertility
    • Journal: Zahedan Journal of Research in Medical Sciences
    • Volume: 15
    • Issue: 7
    • Pages: 0-0
    • Year: 2013

 

  1. Title: Safflower seed oil improves steroidogenesis and spermatogenesis in rats with type II diabetes mellitus by modulating the genes expression involved in steroidogenesis
  • Journal: Journal of Ethnopharmacology
  • Volume: 275
  • Pages: 114139
  • Year: 2021