Ali Alqudah | Biomedical Engineeringl | Young Scientist Award

Posted on by ScienceFather

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€¦

 

fahimeh nasimi | biomedical signal processing | Best Researcher Award

Posted on by ScienceFather

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

 

Yasaman Taslimi | diagnosis | Best Researcher Award

Posted on by ScienceFather

Dr. Yasaman Taslimi | diagnosis| Autonomous systems | Best Researcher Award

Dr, Pasteur institute of Iran, Iran

šŸ‘©ā€šŸ”¬Ā Dedicated researcher with a Ph.D. in Biology from Pasteur Institute of Iran, specializing in molecular genetics and parasitology. šŸ§¬ Skilled in molecular diagnostics and protein analysis for Leishmaniasis. Currently serving as a Researcher in Immunotherapy and Leishmania Vaccine Research at Pasteur Institute, with extensive teaching and visiting researcher experience globally. Ā Recognized for academic excellence with awards including first rank in Ph.D. studies. Passionate about advancing immunotherapy and infectious disease research, with notable presentations at international congresses and a diverse range of specialized courses attended.šŸŒŸ

Profile

Scopus

Orcid

Scholar

 

Education šŸ“š

B.Sc. in Nutrition Azad University, Tehran, Iran 2000, M.Sc. in Biochemistry Azad University, Damghan, Iran 2015, PhD in Biology Pasteur Institute of Iran 2023

Position šŸ’¼

  • Researcher in Immunotherapy and Leishmania Vaccine Research Department
    Pasteur Institute of Iran
    2000-Present

Area of Expertise šŸ§¬

  • Molecular genetics, molecular parasitology, gene function and expression.
  • Molecular diagnosis of Leishmaniasis.
  • Arginase assay.
  • Protein analysis techniques such as Western Blot, Elisa.
  • PEA assay.
  • LAMP assay.

Courses šŸŽ“

Molecular DATA for infectious disease, ITM, Antwerp, Belgium, 2018International Workshop of Leishmania and Leishmaniasis, Pasteur Iran, 2016Molecular Biology of Leishmaniasis, ICGEB, Trieste, Italy, 2016.Targeting and Expression of Gene in Cells, International Congress of Immunology, Tehran, 2014How to write an International Article, Elsevier workshop, Tehran, 2014Application of Bioinformatics in Biotechnology, Pasteur Iran, 2013Flow Cytometry workshop, Pasteur Iran, 2012Quality Control Management, Pasteur Iran, 2012Calibration methods and standards, Pasteur Iran, 2011Life skills courses (Depression, Anger management, Time management, …), Pasteur, 2010Advanced Molecular Genetic course, Pasteur Iran, 2006ICDL courses, 2006

Teaching šŸ“

High throughput technologies in translational immunology, Pasteur, Iran, 2022Western Blot, Practical, School of Pharmacy, Shahid Beheshti University, Tehran, Iran, 2016Immunology of infectious disease, Practical, Pasteur Iran, 2006

Visiting Researcher šŸŒ

Gothenburg University (Leishild-MATI RISE project), Department of Microbiology and Immunology at Institute of Biomedicine, 2019/02/26-2019/05/14Pasteur Institute of Paris (Leishild-MATI RISE project), Department of Molecular Parasitology and Signaling, 2023/12/17-2023/02/17

Congress Presentations šŸ—£ļø

International Congress of Dermatology, Cosmetics and Laser, Iran, Tehran, 2022.International congress of immunology, Iran, Ahvaz, 2021.The 17th International Congress of Immunology, Beijing, China, 2019.Molecular Biology of Leishmania course, Trieste, Italy, 2016.Annual Symposium of the Institut Pasteur International Network, Paris, 2015.6th Worldleish international congress, Toledo, Spain, 2017.

Awards šŸ†

The Second National Conference on New Cellular and Molecular, Iran, 2015.13th International Congress of Immunology and Allergy of Iran, Tabriz, 2015.First ranked Ph.D. student in Pasteur Institute of Iran, 2018.

Publications Top Notes šŸ“

  1. Title: Immunization with the hybrid protein vaccine, consisting of Leishmania major cysteine proteinases Type I (CPB) and Type II (CPA), partially protects against leishmaniasis
    Authors: A Zadeh-Vakili, T Taheri, Y Taslimi, F Doustdari, AH Salmanian, S Rafati
    Journal: Vaccine
    Volume: 22
    Issue: 15-16
    Pages: 1930-1940
    Year: 2004
    Citations: 81

 

  1. Title: Enhanced Protective Efficacy of Nonpathogenic Recombinant Leishmania tarentolae Expressing Cysteine Proteinases Combined with a Sand Fly Salivary Antigen
    Authors: F Zahedifard, E Gholami, T Taheri, Y Taslimi, F Doustdari, N Seyed, …
    Journal: PLoS neglected tropical diseases
    Volume: 8
    Issue: 3
    Pages: e2751
    Year: 2014
    Citations: 79

 

  1. Title: Development of Novel Prime-Boost Strategies Based on a Tri-Gene Fusion Recombinant L. tarentolae Vaccine against Experimental Murine Visceral Leishmaniasis
    Authors: N Saljoughian, T Taheri, F Zahedifard, Y Taslimi, F Doustdari, …
    Journal: PLoS neglected tropical diseases
    Volume: 7
    Issue: 4
    Pages: e2174
    Year: 2013
    Citations: 75

 

  1. Title: Leishmania major heat shock protein 70 (HSP70) is not protective in murine models of cutaneous leishmaniasis and stimulates strong humoral responses in cutaneous and visceral ā€¦
    Authors: S Rafati, E Gholami, N Hassani, F Ghaemimanesh, Y Taslimi, T Taheri, …
    Journal: Vaccine
    Volume: 25
    Issue: 21
    Pages: 4159-4169
    Year: 2007
    Citations: 71

 

  1. Title: Cysteine proteinase type III is protective against Leishmania infantum infection in BALB/c mice and highly antigenic in visceral leishmaniasis individuals
    Authors: N Khoshgoo, F Zahedifard, H Azizi, Y Taslimi, MJ Alonso, S Rafati
    Journal: Vaccine
    Volume: 26
    Issue: 46
    Pages: 5822-5829
    Year: 2008
    Citations: 61