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

Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

Dr. Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

Researcher at Bournemouth University,Ā  United Kingdom

Dr. Samira Al-Nasser is an accomplished engineering professional and educator with a strong background in biomedical engineering and a focus on integrating machine learning for healthcare applications. Currently, as an Engineering Manager at Testlink, she leads a team specializing in ATM repair and design, while her research focuses on advanced sensor technology for joint load balancing during knee replacements. Dr. Al-Nasser has extensive experience in academia, holding positions as a Lecturer and Demonstrator at Bournemouth University. She is also actively involved in the Women in STEM Society and holds leadership roles promoting diversity in STEM.

Profile

Orcid

Scholar

Education šŸŽ“

Dr. Al-Nasser earned a Ph.D. from Bournemouth University, focusing on the design and validation of load sensors for joint replacements, applying skills across mechanical and electrical engineering, machine learning, and material sciences. She previously graduated with first-class honors (84.2%) in Biomedical Engineering from German Jordanian University, specializing in biomedical instrumentation and signal processing. Her academic journey reflects a dedication to merging engineering principles with medical technology to improve patient outcomes, a commitment she continues through publications and research initiatives.

Experience šŸ’¼

Dr. Al-Nasserā€™s career spans various roles, including her current position as Engineering Manager at Testlink, where she manages teams in ATM repair. Previously, she was a Lecturer and Demonstrator at Bournemouth University, focusing on design simulation and lab instruction. Her early career includes research assistant roles and biomedical internships at Abdali Medical Center and The Specialty Hospital in Jordan, where she supported medical equipment maintenance and installations. These roles underscore her diverse expertise in engineering management, education, and applied medical research.

Awards and Honors šŸ†

Dr. Al-Nasser has been recognized for her contributions to engineering and diversity, receiving the AdvanceHE Associate Fellowship for Teaching, which highlights her academic impact. She serves as a PGR Representative for the Athena SWAN Charter on Diversity and Inclusion and is an active member of the Women in STEM Society at Bournemouth University. Her accolades include awards for outstanding academic presentations at conferences, showcasing her dedication to advancing biomedical engineering and diversity in the engineering field.

Research Focus šŸ”

Dr. Al-Nasserā€™s research centers on AI applications in orthopedic engineering, particularly in designing intelligent sensors for intraoperative load balancing during knee replacements. She investigates piezoelectric sensor technologies and machine learning-based load prediction models to enhance joint stability and improve surgical outcomes. Her work combines biomechanics, AI-driven signal processing, and biomedical device innovation, aiming to elevate precision in joint replacement surgeries and contribute to the broader field of smart healthcare technology.

Conclusion šŸ†

Dr. Samira Al-Nasser is a strong contender for the Young Scientist Award. Her unique blend of research achievements, interdisciplinary expertise, and dedication to diversity and teaching makes her a rising star in biomedical engineering. With further growth in her collaborative network and research funding, Dr. Al-Nasser has the potential to make significant contributions to medical device innovation and healthcare technology. She exemplifies the qualities of a young scientist capable of driving impactful advancements in both academic and applied research domains.

Publications Top Notes

  1. Gait analysis of a kinematic retaining implant for Total knee replacements during walking and running
    • Journal: Journal of Orthopaedics
    • Date: 2024-10
    • DOI: 10.1016/j.jor.2024.02.025
    • Contributors: Adrian Harvey, Suraj Kohli, Samira Al-Nasser, Siamak Noroozi

 

  1. WITHDRAWN: Cadaveric Testing of a Novel Intraoperative Load Sensor for Soft-tissue balancing during Total Knee Replacements
    • Journal: Journal of Orthopaedic Reports
    • Date: 2024-07
    • DOI: 10.1016/j.jorep.2024.100448
    • Contributors: Samira Al-Nasser, Saimak Noroozi, Adrian Harvey, Roya Haratian

 

  1. Design of a Novel Intraoperative Sensor for Load Balancing and Tracking during Total Knee Replacements

 

  1. Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements
    • Journal: Sensors
    • Date: 2024-01-17
    • DOI: 10.3390/s24020585
    • Contributors: Samira Al-Nasser, Siamak Noroozi, Adrian Harvey, Navid Aslani, Roya Haratian

 

 

Kyu Sik Kim| Medicine | Young Scientist Award

Mr. Kyu Sik Kim| Medicine | Young Scientist Award

Mr at Seoul National University, South Korea

Kyu Sik Kim is a dedicated PhD candidate at Seoul National University, specializing in systems neuroscience. His research focuses on how the hypothalamus regulates feeding behavior and seeks to bridge the gap between animal and human studies. Passionate about improving therapeutic outcomes, he aims to translate his findings into better treatment options.

 

Publication profile

Scopus

Orcid

Scholar

šŸŽ“ Education & Training

M.S./Ph.D. Candidate in Biomedical Science, Seoul National University, College of Medicine (2020ā€“Present) Advisor: Prof. Hyung Jin Choi. B.S. in Life Science, Sogang University, Seoul, Korea (2014-2018)

šŸ”¬ Major Research Interests

Brain activity and ethology analysis with artificial intelligence. Internal state changes in the brain. Competing needs and motivation in the brain. Hypothalamic neuronal circuits in emotion and eating. Translational research and clinical applications

šŸ† Honors, Funding & Awards

2024: 2-year research program (48M Won) for cultivating future generations in science and engineering. 2024: Basic Academic Field Academic Subsequent Generation (24M Won). 2024: Optodbs Travel Grant. Multiple prizes for Outstanding Graduate Student at Seoul National University (2023-2024). Best Paper Award (March-May 2023)

šŸ›  Skills & Professional Expertise

Software Tools: Ethovision, Inscopix Data Processing, MATLAB, Python. Experimental Techniques: Immunocytochemistry, stereotaxic surgery, animal behavior experiments, and fMRI imaging. Teaching & Mentoring: Guided students in medical research programs at Seoul National University

Publication

  • Lateral Hypothalamic Leptin Receptor Neurons Drive Hunger-Gated Food-Seeking and Consummatory Behaviours in Male Mice
    • Authors: Y.H. Lee, Y.B. Kim, K.S. Kim, M. Jang, H.Y. Song, S.H. Jung, D.S. Ha, J.S. Park, …
    • Published In: Nature Communications, 14(1), 1486
    • Citations: 19
    • Year: 2023

 

  • GLP-1 Increases Preingestive Satiation via Hypothalamic Circuits in Mice and Humans
    • Authors: K.S. Kim, J.S. Park, E. Hwang, M.J. Park, H.Y. Shin, Y.H. Lee, K.M. Kim, L. Gautron, …
    • Published In: Science, 385(6707), 438-446
    • Citations: 6
    • Year: 2024

 

  • Acoustic Deep Brain Modulation: Enhancing Neuronal Activation and Neurogenesis
    • Authors: H. Ham, K.S. Kim, J.H. Lee, D.N. Kim, H.J. Choi, J.J. Yoh
    • Published In: Brain Stimulation
    • Year: 2024

 

  • A Normative Framework Dissociates Need and Motivation in Hypothalamic Neurons
    • Authors: K.S. Kim, Y.H. Lee, Y.B. Kim, J.W. Yun, H.Y. Song, J.S. Park, S.H. Jung, J.W. Sohn, …
    • Published In: bioRxiv
    • Year: 2023

 

Haseeb Sattar | Clinical Medicine | Best Faculty Award

Assoc Prof Dr. Haseeb Sattar | Clinical MedicineĀ  | Best Faculty Award

Assoc Prof Dr Haseeb Sattar Urban Vocational College of Sichuan Chengdu China

Dr. Haseeb Sattar is a seasoned medical professional with extensive experience in clinical pharmacotherapy and internal medicine. He holds a PhD in Clinical Pharmacology from Huazhong University of Science and Technology, China, and has served as an Assistant Professor at several prestigious universities in China, teaching clinical subjects to international MBBS students. Dr. Sattar has a strong background in research, with numerous publications in leading medical journals. His career is distinguished by his commitment to medical education, research, and patient care, making him a valuable asset to any academic or clinical institution.

Publication profile

Scopus

Scholar

šŸŽ“ Education

PhD/DM in Clinical Pharmacology-Clinical Pharmacy – Tongji Medical College of Huazhong University of Science and Technology, China. Dates: September 2014 ā€“ June 2017. PG-Dip in Internal Medicine – University of Edinburgh, UK Dates: September 2018 ā€“ August 2020. MPhil in Medical Microbiology – Quaid-i-Azam University, Islamabad, Pakistan Dates: January 2012 ā€“ 2014. Doctor of Pharmacy (PharmD) – Riphah International University, Islamabad, Pakistan Dates: September 2005 ā€“ August 2010. Higher Secondary School Certificate (HSSC) – Federal Board of Intermediate & Secondary Education, Islamabad, Pakistan. Dates: August 2002 ā€“ August 2004. Diploma in Computer Hardware – Super Tech Institute of Computer Sciences Dates: May 2002 ā€“ August 2002. Secondary School Certificate (SSC) – Federal Board of Intermediate & Secondary Education, Islamabad, Pakistan Dates: March 2000 ā€“ March 2002

šŸ‘Øā€šŸ« Professional Experience

Assistant Professor of Medicine – Chengdu University of TCM, Chengdu, China Dates: September 2019 ā€“ Present Responsibilities: Teaching clinical subjects to foreign MBBS students. Assistant Professor of Medicine – Hubei University of Traditional Chinese Medicine, Wuhan, China Dates: September 2017 ā€“ July 2019 Responsibilities: Teaching clinical subjects to foreign MBBS students. Lecturer (Part-Time) – Hubei University of Nationality, Enshi, China Dates: July 2016 ā€“ July 2017. Responsibilities: Teaching internal medicine, diagnostics, pharmacology, preventive medicine, and infectious diseases. Lecturer of Clinical Pharmacotherapeutics and Clinical Practices – University of Lahore, Islamabad Campus Dates: September 2010 ā€“ September 2014 Responsibilities: Taking lectures, hospital ward rounds.

šŸ… Certifications

American Board Certification in Pharmacotherapy (BCPS), USA. American Board-Certified Cardiology Specialist (BCCP). Certification in Toxicology, Harvard Medical University, USA. Certification in Endocrine Emergencies, Harvard Medical University, USA. Certification in COPD Management, University of Pennsylvania School of Medicine, USA

šŸ“ Research Publications

Sattar, Haseeb, et al. “Role of glucuronidation pathway in quetiapine metabolism: An in vivo drugā€“drug interaction study between quetiapine and probenecid.” Saudi Journal of Medicine & Medical Sciences, 2020. Nie Q, Sattar H, et al. “An intramural left ventricular fistula caused by left ventriculography.” World Journal of Emergency Medicine, 2022. Luo Y, Jiang Q, Zhu Z, Sattar H, et al. “Phosphoproteomics and proteomics reveal metabolism as a key node in LPS-induced acute inflammation in RAW264. 7.” Inflammation, 2020.

šŸ† Achievements

Recipient of the Chinese Government Scholarship. Multiple scholarships during university (Mumtaz Scholarships)

Evaluation for Best Faculty Award šŸ†

Strengths for the Award:

Extensive Clinical and Academic Experience: Dr. Haseeb Sattar has over a decade of experience in clinical pharmacotherapy and internal medicine, with a strong foundation in both practical and theoretical aspects of the field. His roles in various academic institutions, particularly in teaching clinical subjects to MBBS students, demonstrate his commitment to education and student development. Diverse Educational Background: Dr. Sattar’s qualifications, including a Doctor of Pharmacy (PharmD), MPhil in Medical Microbiology, and PhD/DM in Clinical Pharmacology, provide him with a broad and in-depth understanding of medicine. His postgraduate diploma in Internal Medicine from the University of Edinburgh further solidifies his expertise. Research Accomplishments: With numerous publications in reputable journals, Dr. Sattar has contributed significantly to medical research. His work spans various topics, including pharmacotherapy, clinical pharmacy, and internal medicine, reflecting his active engagement in advancing medical knowledge. International Exposure: Dr. Sattar’s teaching and research experiences across Pakistan and China, coupled with certifications from prestigious institutions in the USA, highlight his global perspective and adaptability in different educational and healthcare environments. Recognition and Awards: Dr. Sattar has been the recipient of multiple scholarships, including the prestigious Chinese Government Scholarship, which underscores his academic excellence and recognition by international bodies.

Areas for Improvement:

Focused Research Themes: While Dr. Sattar has published extensively, focusing on a more specific research theme or developing a specialized niche could enhance his recognition in a particular area of medicine. Increased Collaboration: Engaging in more collaborative research with other international institutions and experts could further elevate his profile and contribute to broader scientific advancements. Leadership Roles: Taking on more leadership roles in academic or research institutions could showcase his ability to influence and guide future research directions and academic programs.

Publication top notes

  • Reactive Oxygen Speciesā€Mediated Tumor Microenvironment Transformation: The Mechanism of Radioresistant Gastric Cancer
    • Journal: Oxidative Medicine and Cellular Longevity
    • Year: 2018
    • DOI: 10.1155/2018/5801209
    • Contributors: H. Gu, T. Huang, Y. Shen, Y. Liu, F. Zhou, Y. Jin, H. Sattar, Y. Wei
    • Citations: 64

 

  • Co-existence of blaNDM-1 and blaKPC-2 in Clinical Isolates of Klebsiella pneumoniae from Pakistan
    • Journal: Journal of Chemotherapy
    • Year: 2016
    • Volume: 28(4), 346-349
    • Contributors: H. Sattar, M. Toleman, F. Nahid, R. Zahra
    • Citations: 35

 

  • The Prognostic Value of Long Noncoding RNAs in Prostate Cancer: A Systematic Review and Meta-Analysis
    • Journal: Oncotarget
    • Year: 2017
    • Volume: 8(34), 57755
    • Contributors: W. Ma, X. Chen, L. Ding, J. Ma, W. Jing, T. Lan, H. Sattar, Y. Wei, F. Zhou
    • Citations: 24

 

  • Natural Killer Cell Immunotherapy Against Multiple Myeloma: Progress and Possibilities
    • Journal: Journal of Leukocyte Biology
    • Year: 2018
    • Volume: 103(5), 821-828
    • Contributors: P. Liu, Y. Jin, H. Sattar, H. Liu, W. Xie, F. Zhou
    • Citations: 18

 

Conclusion:

Dr. Haseeb Sattar’s extensive clinical experience, robust academic background, and significant research contributions make him a strong candidate for the Best Faculty Award. His diverse expertise and international exposure, combined with his dedication to education and research, position him as an exemplary figure in the field of medicine. With a focus on further specialization and increased collaborative efforts, Dr. Sattar’s impact on the medical community is likely to grow, making him well-deserving of this recognition.

fahimeh nasimi | biomedical signal processing | Best Researcher Award

Dr. fahimeh nasimi | biomedical signal processing | Best Researcher Award

A proactive and innovative researcher with expertise in deep learning and machine learning applications, specializing in cardiac arrhythmia detection algorithms. With a Ph.D. in Computer Engineering and extensive experience as an Assistant Professor at the University of Isfahan-Khansar Campus, I excel in strategic problem-solving and decision-making. Known for maintaining composure under pressure and fostering collaborative environments, I am committed to advancing knowledge through hands-on research and effective team leadership. My career highlights include significant contributions to wireless body area networks and a strong record of academic excellence, including top rankings during both my B.Sc. and M.Sc. studies at Isfahan University.

Profile

  1. Scopus

 

  1. Orcid

šŸ“ˆCore Qualifications

Proactive Researcher: Extensive experience in conducting independent research with a proactive approach.. Strategic and Creative Thinking: Strong problem-solving skills, capable of developing innovative strategies by thinking outside the box. Decision Making: Skilled in making informed decisions and taking responsibility for outcomes. Even Temperament: Ability to maintain composure and handle situations calmly, regardless of challenges. Learning by Doing: A continuous learner who thrives on hands-on experience and practical learning. Collaboration & Team Building: Proficient in fostering collaborative environments and building effective teams.

Technical Skills

Programming Languages: C, C++, MATLAB, Python, Advanced Skills: Deep Learning, Machine Learning, Software Proficiency: ICDL, Cisco Packet Tracer, Linux (Ubuntu)

šŸ’¼Professional Experience

Assistant Professor, University of Isfahan-Khansar Campus. Since September 2023 University Lecturer (Part-time) University of Isfahan January 2021 – 2023. Visiting Researcher University of South Australia September 2017 – March 2018 Research Assistant University of Isfahan 2014 – 2023

šŸŽ“Education

  • Postdoc Researcher, Department of Biomedical Engineering
    • Faculty of Engineering, University of Isfahan
    • Isfahan, Iran
    • 2020 – 2023
  • Ph.D. in Computer Engineering
    • Faculty of Computer Engineering, University of Isfahan
    • Isfahan, Iran
    • 2014 – 2020
    • Thesis: Improving Intra-nodes Communication Power Consumption in Wireless Body Area Networks
  • Master in Computer Engineering – Computer Systems Architecture
    • Faculty of Computer Engineering, University of Isfahan
    • Isfahan, Iran
    • 2011 – 2013
  • Bachelor in Computer Engineering – Computer Hardware
    • Department of Computer Engineering, Faculty of Engineering, University of Isfahan
    • Isfahan, Iran
    • 2005 – 2009

šŸ«Employment History

  • Assistant Professor
    • University of Isfahan-Khansar Campus
    • September 2023 – Present

šŸ”¬Research Focus

My research interests primarily focus on designing novel algorithms using deep learning techniques for the detection of cardiac arrhythmias. This interest was sparked during my postdoctoral research and continues to evolve in my current role, where I am dedicated to addressing challenges associated with identifying similar types of arrhythmias.

šŸ† Awards and HonorsĀ 

Ranked 3rd, B.Sc. students, Isfahan University, 2009. Ranked 2nd, M.Sc. students, Isfahan University, 2014

Publications Top Notes šŸ“

  • Title: Green Communication in wireless network
    • Authors: Ehdieh Khaledian, Fahimeh Nasimi, Naser Movahedinia
    • Conference: ETEC (Emerging Trends in Energy Conservation), 2013

 

  • Title: A survey on energy consumption reduction techniques in WBAN
    • Authors: Fahimeh Nasimi, Naser Movahedinia, Mohammad Reza Khayyambashi
    • Conference: CITCONF, 2017

 

  • Title: Exploiting Similar Prior Knowledge for Compressing ECG Signals
    • Authors: Fahimeh Nasimi, Naser Movahhedinia, Mohammad Reza Khayyambashi, Yee Wei Law
    • Journal: Biomedical Signal Processing and Control (Elsevier), 2020
    • Year: 2020

 

  • Title: Redundancy cancellation of compressed measurements by QRS complex alignment
    • Authors: Nasimi Fahimeh, Mohammad Reza Khayyambashi, Naser Movahhedinia
    • Journal: Plos one
    • Volume: 17
    • Issue: 2
    • Year: 2022
    • Article ID: e0262219

 

  • Title: LDIAED: A lightweight deep learning algorithm implementable on automated external defibrillators
    • Authors: Nasimi Fahimeh, Mohammadreza Yazdchi
    • Journal: Plos one
    • Volume: 17
    • Issue: 2
    • Year: 2022
    • Article ID: e0264405

 

  • Title: A novel spatio-temporal convolutional neural framework for multimodal emotion recognition
    • Authors: Sharafi Masoumeh, Mohammadreza Yazdchi, Reza Rasti, Fahimeh Nasimi
    • Journal: Biomedical Signal Processing and Control
    • Volume: 78
    • Year: 2022
    • Pages: 103970

 

Ching-Yi Chang | Patient Care | Women Researcher Award

Assoc Prof Dr. Ching-Yi Chang | Patient Care | Women Researcher Award

Assoc Prof Dr at Ching-Yi Chang Taipei Medical University,Ā  Taiwan

Dr. Ching-Yi Chang is currently an Associate professor at the Department of School of Nursing, College of Nursing, Taipei Medical University. Dr. Chang serves as an editorial board member and a reviewer for more than 47 educational technology journals. Her research interests include maternal and child health, mobile learning, digital game-based learning, flipped classrooms, medical education, and nursing education. Dr. Chang has published more than 41 academic papers. Among those publications, more than 37 papers are published in SSCI/SCI journals. Owing to her reputation in academic research and innovative inventions in education, she received the research award from the Taipei Medical University of Taiwan in the year 2023.

 

Profile

 

šŸ“šAcademic Background

  • Ph.D., 2018, National Taiwan University of Science and Technology, Graduate Institute of Digital Learning and Education šŸŽ“
  • M.S., 2007, National Taipei University of Nursing and Health Science, Department of Nurse-Midwifery and Women Health šŸ©ŗ

Ā Current Position

  • Associate Professor, School of Nursing, College of Nursing, Taipei Medical University šŸ«

Ā Reviewer Editorial Board MemberĀ 

BMC Medical Education (SCI) šŸ“CIN-Computers, Informatics, Nursing (SSCI/SCI) šŸ–„ļøComputers & Education (SSCI) šŸ“šComputers and Education: Artificial Intelligence (Elsevier) šŸ¤–Computers and Education Open (Elsevier) šŸŒEducation Research International (Scopus) šŸ“ŠEducational Technology and Society (SSCI) šŸŒHeliyon (Elsevier) šŸ§¬International Journal of Mobile Learning and Organisation (Scopus) šŸ“±Interactive Learning Environments (SSCI) šŸŽ®INQUIRY: The Journal of Health Care Organization, Provision, and Financing (SCI) šŸ„Journal of Advanced Nursing (SCI) šŸ©ŗJournal of Education Research (TSSCI) šŸ“–Journal of Computer Assisted Learning (SSCI) šŸ’»Journal of Liberal Arts and Social Sciences (ACI) šŸŽØJournal of Psychosomatic Obstetrics & Gynecology (SCI) šŸ‘¶New Review of Hypermedia and Multimedia (SSCI) šŸ“½ļøNursing Open (SCI) šŸ©¹PLOS ONE (SSCI/SCI) šŸ”¬Science Progress (SCI) šŸš€

Ā Research Interest

Maternal and child health šŸ‘¶Mobile learning šŸ“±Digital game-based learning šŸŽ®Flipped classroom šŸ“šMedical education šŸ©ŗNursing education šŸ„

Ā Academic Awards

Administrative Service Award, Taipei Medical University, Taiwan (2023) šŸ…Administrative Service Award, Taipei Medical University, Taiwan (2022) šŸ…Administrative Service Award, Taipei Medical University, Taiwan (2021) šŸ…Thesis Award, Taipei Medical University, Taiwan (2021) šŸ“œFaculty Incentive-Research Project Performance Bonus, Taipei Medical University, Taiwan (2021) šŸ’°

Publications Top Notes šŸ“

  1. Effects of birth ball exercise on pain and self-efficacy during childbirth: a randomised controlled trial in Taiwan
    • Authors: ML Gau, CY Chang, SH Tian, KC Lin
    • Journal: Midwifery
    • Year: 2011
    • Volume: 27
    • Issue: 6
    • Pages: e293-e300
    • Citations: 285

 

  1. Trends and research issues of mobile learning studies in nursing education: A review of academic publications from 1971 to 2016
    • Authors: CY Chang, CL Lai, GJ Hwang
    • Journal: Computers & Education
    • Year: 2018
    • Volume: 116
    • Pages: 28-48
    • Citations: 253

 

  1. A review of opportunities and challenges of chatbots in education
    • Authors: GJ Hwang, CY Chang
    • Journal: Interactive Learning Environments
    • Year: 2023
    • Volume: 31
    • Issue: 7
    • Pages: 4099-4112
    • Citations: 237

 

  1. Trends in artificial intelligence-supported e-learning: A systematic review and co-citation network analysis (1998ā€“2019)
    • Authors: KY Tang, CY Chang, GJ Hwang
    • Journal: Interactive Learning Environments
    • Year: 2023
    • Volume: 31
    • Issue: 4
    • Pages: 2134-2152
    • Citations: 213

 

  1. Trends in digital game-based learning in the mobile era: A systematic review of journal publications from 2007 to 2016
    • Authors: CY Chang, GJ Hwang
    • Journal: International Journal of Mobile Learning and Organisation
    • Year: 2019
    • Volume: 13
    • Issue: 1
    • Pages: 68-90
    • Citations: 199

 

  1. Effects of spherical video-based virtual reality on nursing studentsā€™ learning performance in childbirth education training
    • Authors: CY Chang, HY Sung, JL Guo, BY Chang, FR Kuo
    • Journal: Interactive Learning Environments
    • Year: 2022
    • Volume: 30
    • Issue: 3
    • Pages: 400-416
    • Citations: 154

 

  1. Promoting students’ learning achievement and selfā€efficacy: A mobile chatbot approach for nursing training
    • Authors: CY Chang, GJ Hwang, ML Gau
    • Journal: British Journal of Educational Technology
    • Year: 2022
    • Volume: 53
    • Issue: 1
    • Pages: 171-188
    • Citations: 138

 

  1. Learning to be a writer: A spherical videoā€based virtual reality approach to supporting descriptive article writing in high school Chinese courses
    • Authors: HL Huang, GJ Hwang, CY Chang
    • Journal: British Journal of Educational Technology
    • Year: 2020
    • Volume: 51
    • Issue: 4
    • Pages: 1386-1405
    • Citations: 116

 

  1. From experiencing to critical thinking: a contextual game-based learning approach to improving nursing studentsā€™ performance in electrocardiogram training
    • Authors: CY Chang, CH Kao, GJ Hwang, FH Lin
    • Journal: Educational Technology Research and Development
    • Year: 2020
    • Volume: 68
    • Pages: 1225-1245
    • Citations: 105

 

Shunsuke Suzuki | medical physics | Best Researcher Award

Mr. ā€Œ Shunsuke Suzuki| | Thermodynamics | Best Researcher Award

Mr at Shonan Kamakura General Hospital,Ā  Japan

Ā I am an accomplished researcher and academic, currently pursuing a Ph.D. at the Graduate School of Engineering, Kyoto University. With a strong background in radiation therapy and dosimetry, my research has focused on radiation-induced secondary carcinogenesis and the development of precise Ī³-ray dosimetry methods for boron neutron capture therapy (BNCT). I have published several papers and presented at numerous conferences, contributing to advancements in proton therapy and BNCT. Currently, I am introducing the “nuBeam” accelerator-based BNCT system at Shonan Kamakura General Hospital and continue to innovate in the field of radiation dosimetry and cancer treatment technologies.

Profile

 

Education, Experience, and Academic Achievements šŸŽ“

I conducted research on radiation-induced secondary carcinogenesis during my master’s course at the Graduate School of Medicine, Hokkaido University, and presented my findings at an academic conference. Following my master’s, I joined the Minami-Tohoku Cancer Proton Therapy Center, where I published a paper on radiation-induced secondary carcinogenesis in children due to different proton therapy irradiation methods. Currently, I work at Shonan Kamakura General Hospital, where I am introducing the accelerator-based boron neutron capture therapy system “nuBeam” and presenting research on its initial evaluation at conferences and in scholarly papers. Additionally, I am conducting research on developing Ī³-ray dosimetry in neutron fields, which has been published and will be presented at an international conference. I am also pursuing a doctoral degree at the Graduate School of Engineering, Kyoto University, and will graduate this year.

Contributions to Research & Development, Innovations, and Extension Activities šŸ§Ŗ

In the realm of boron neutron capture therapy (BNCT), the radiation emitted by the BNCT machine is directly linked to the patient dose. Therefore, accurately evaluating the gamma ray dose through measurement is crucial for introducing BNCT into clinical practice. Measurement methods for gamma ray doses in BNCT fields currently vary among facilities, necessitating a universally applicable and accurate method. In Japan, a custom-built thermoluminescent dosimeter (TLD) (Panasonic, UD-170LS) with beryllium oxide powder in a quartz glass tube is used for š›¾ dose measurement, but it is no longer manufactured or commercially available. Consequently, I investigated a method combining a commercially available Mg2SiO4:Tb TLD (TOREC, TLD-MSO-S) with a 6LiF sintered capsule, verifying its efficacy for š›¾ dose measurement in an accelerator-based (AB)-BNCT system.

Publications Top Notes šŸ“

  1. Initial evaluation of accelerator-based neutron source system at the Shonan Kamakura General Hospital
    • Authors: S. Suzuki, K. Nitta, T. Yagihashi, P. Eide, H. Koivunoro, N. Sato, S. Gotoh, et al.
    • Journal: Applied Radiation and Isotopes
    • Volume: 199
    • Article: 110898
    • Year: 2023

 

  1. Effectiveness of robust optimization against geometric uncertainties in TomoHelical planning for prostate cancer
    • Authors: T. Yagihashi, K. Inoue, H. Nagata, M. Yamanaka, A. Yamano, S. Suzuki, et al.
    • Journal: Journal of Applied Clinical Medical Physics
    • Volume: 24
    • Issue: 4
    • Article: e13881
    • Year: 2023

 

  1. Impact of lifetime attributable risk of radiation-induced secondary cancer in proton craniospinal irradiation with vertebral-body-sparing for young pediatric patients
    • Authors: S. Suzuki, T. Kato, M. Murakami
    • Journal: Journal of Radiation Research
    • Volume: 62
    • Issue: 2
    • Pages: 186-197
    • Year: 2021

 

  1. Evaluation of dose effects of two types of tomotherapy couch and examination of its optimization
    • Authors: S. Suzuki, T. Inoue, A. Yamano, H. Nagata
    • Journal: Journal of the Korean Physical Society
    • Volume: 83
    • Issue: 12
    • Pages: 984-992
    • Year: 2023

 

  1. Optimization of TomoTherapy couch density in the RayStation treatment-planning system
    • Authors: S. Suzuki, T. Inoue, T. Yagihashi, H. Nagata
    • Journal: Journal of the Korean Physical Society
    • Volume: 83
    • Issue: 12
    • Pages: 993-1002
    • Year: 2023

 

  1. Relative Biological Effectiveness Values of Spot-scanning Proton Beam Therapy at Shonan Kamakura General Hospital
    • Authors: S. Shiba, M. Yamanaka, K. Matsumoto, A. Yamano, T. Shimo, S. Suzuki, et al.
    • Journal: in vivo
    • Volume: 37
    • Issue: 3
    • Pages: 1016-1021
    • Year: 2023
    • Abstract: This research investigates the Relative Biological Effectiveness (RBE) values of spot-scanning proton beam therapy at Shonan Kamakura General Hospital. The findings contribute to understanding the biological impact and therapeutic advantages of proton beam therapy in clinical settings.

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