Mr. Álvaro Torres Martos | Healthcare Applications | Best Researcher Award

Mr. Álvaro Torres Martos | Healthcare Applications | Best Researcher Award

Álvaro Torres Martos at University of Granada, Spain

Profiles

Google Scholar

Orcid

Education

  • Master’s Degree in Bioinformatics and Biostatistics
    Open University of Catalonia (UOC), 2021-2022
  • Bachelor’s Degree in Biochemistry
    University of Granada (UGR), 2016-2020

🔬 Research Experience

  • Pre-doctoral Researcher (2023-2026)
    EXOMAIR Project, University of Granada
    Focus: Precision medicine and the impact of the exposome on metabolic health using AI.
  • Academic Visitor (2024)
    University of Oxford
    Research: Dietary and behavioral phenotypes in relation to non-communicable disease risk, leveraging a multi-omics approach.
  • Bioinformatic Researcher (2022-2023)
    ACTIBATE Project, University of Granada
    Research: Molecular translators of exercise and brown adipose tissue activation.
  • Faculty Member (2023-2026)
    Department of Biochemistry and Molecular Biology II, University of Granada

🏆 Achievements and Contributions

Mr. Álvaro is the proud winner of the III Bioinformatics Datathon, organized by the University of Granada. He is also one of the main developers of the Shiny app ObMetrics, a tool designed to calculate a wide range of Metabolic Syndrome outputs tailored to pediatric patients. His involvement in numerous national and international congresses through posters and oral presentations further showcases his active engagement in the research community.

🛠️ Skills and Certifications

Mr. Álvaro has completed several courses to enhance his technical expertise, including R/RStudio/Shiny, Python, and LaTeX. He has also gained specialized knowledge in GWAS analysis, exposome studies, and systematic reviews/meta-analyses. In 2019, he earned a Certificate of Integrated Skills in English (Level B2) from Trinity College London. Most recently, in 2024, he completed micro-courses with Twenix on Data Science and Strategies for Advanced Learning.

 

Publications

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

  • Authors: Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Alberto Ramírez-Mena, María Arteaga, Gloria Bueno, Rosaura Leis, Concepción M Aguilera, Rafael Alcalá, Jesús Alcalá-Fdez
  • Year: 2024

Leveraging Machine Learning and Genetic Risk Scores for the Prediction of Metabolic Syndrome in Children with Obesity

  • Authors: Concepción M Aguilera, Mireia Bustos-Aibar, Augusto Anguita-Ruiz, Álvaro Torres-Martos, Gloria Bueno, Rosaura Leis, Jesús Alcalá-Fernández
  • Year: 2024

Omics data preprocessing for machine learning: A case study in childhood obesity

  • Authors: Álvaro Torres-Martos, Mireia Bustos-Aibar, Alberto Ramírez-Mena, Sofía Cámara-Sánchez, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción M Aguilera, Jesús Alcalá-Fdez
  • Year: 2023

Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism

  • Authors: Julio Plaza-Diaz, David Izquierdo, Álvaro Torres-Martos, Aiman Tariq Baig, Concepción M Aguilera, Francisco Javier Ruiz-Ojeda
  • Year: 2022

Human multi-omics data pre-processing for predictive purposes using machine learning: a case study in childhood obesity

  • Authors: Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Sofia Cámara-Sánchez, Rafael Alcalá, Concepción M Aguilera, Jesús Alcalá-Fdez
  • Year: 2022

Mr. Ali Mohammed Ridha | Biomedical | Best Researcher Award

Mr. Ali Mohammed Ridha | Biomedical | Best Researcher Award

Ali Mohammed Ridha at Ajman University, United Arab Emirates

Profiles

Orcid

Google Scholar

Education

  • Master of Science in Electrical and Electronics Engineering – Imaging and Machine Learning, Universiti Sains Malaysia, 2023
  • Bachelor of Science in Electrical Engineering, Ajman University, 2019

💼 Professional Experience

  • Software Developer, Mühlbauer Group, Roding, Germany (July 2024 – Present)
    Designing and implementing software solutions for battery production machinery, focusing on automation and control systems.
  • Application Specialist – Software, Beckhoff Automation, Dubai, UAE (September 2021 – June 2024)
    Specialized in TwinCAT software, PLC and HMI programming, and technical support for automation systems.
  • Research Assistant, Ajman University, UAE (August 2021 – October 2022)
    Developed a CNN-based acne detection system using reconstructed hyperspectral images.
  • Research Assistant, Ajman University, UAE (December 2019 – December 2020)
    Conducted FEM simulations to study heat effects during light-curing in dentistry.
  • Research Assistant, Ajman University, UAE (June 2018 – December 2018)
    Created diagnostic software for hearing impairment and earwax blockage using an Android application.

🔬 Research Interests

Ali’s research focuses on advanced imaging techniques, machine learning applications, and automation. His work includes developing detection systems for medical conditions using hyperspectral images, optimizing industrial automation processes, and improving diagnostic tools through innovative software solution

🏆 Grants and Awards 

  • 2021
    Identification of Underdeveloped Acne using Reconstructed HSI from RGB Images
    Funding: AED 10,800
    Grant Reference: 2021-IRG-ENIT-13
    Ajman, United Arab Emirates
  • 2021
    Silver Award – Middle East Regional Award
    Reimagine Education ‘Oscars’ of Education 2020
    London, United Kingdom
  • 2020
    Silver Award – AI Category
    Reimagine Education ‘Oscars’ of Education 2020
    London, United Kingdom
  • 2020
    Best Session Presentation
    7th International Conference on Electrical and Electronics Engineering
    Antalya, Turkey
  • 2020
    First Place
    Dubai, UAE Hackathon 3.0 “Data for Happiness”
    United Arab Emirates
  • 2021
    Study and Optimization of the Process of Light Curing in Dentistry
    Funding: AED 19,975
    Grant Reference: 2019-IDG-DEN-1
    Ajman, United Arab Emirates
  • 2019
    Best Poster Award
    19th IEEE International Symposium on Signal Processing and Information Technology Student Poster Competition
    Ajman, United Arab Emirates
  • 2019
    First Place
    IEEE Student Day Software Engineering Project
    Ras Al Khaimah, United Arab Emirates
  • 2019
    Third Place
    IEEE Student Day Senior Design Project, Computing and Robotics
    Ras Al Khaimah, United Arab Emirates
  • 2019
    Best Poster Award
    Eleventh Annual Undergraduate Research Conference on Applied Computing
    Dubai, United Arab Emirates
  • 2019
    Best Student Branch Award
    IEEE GCC SYP Congress
    Kuwait, State of Kuwait
  • 2017-2019
    Excellence Honor Award
    Tuition Fee Waiver
    Ajman University
    Ajman, United Arab Emirates
  • 2018
    Second Place
    IEEE Student Day Software Engineering Project
    Dubai, United Arab Emirates
  • 2018
    Third Place
    UAE Hackathon 1.0 “Data for Happiness”
    Dubai, United Arab Emirates

 

Publications

Assistive technology for hearing-impaired and deaf students utilizing augmented reality

  • Authors: Ali Mohammed Ridha, Wessam Shehieb
  • Year: 2021
  • Authors: Ali Mohammed Ridha, Wessam Shehieb, Peter Yacoub, Khalid Al-Balawneh, Kamran Arshad
  • Year: 2020

Temperature Rise at the Pulp-Dentin Junction for a Multi-Layered Composite Restoration using the Finite Element Method

  • Authors: Ali Mohammed Ridha, Konstantinos Aidinis, Abdul Haq Suliman
  • Year: 2021

Diagnostic Approach for Hearing Impairment and Earwax Blockage using Smartphone

  • Authors: Wessam Shehieb, Ali Mohammed Ridha, Tazeen Sharif
  • Year: 2018

Ms. Rebekah Fretwell | Healthcare Applications | Best Researcher Award

Ms. Rebekah Fretwell | Healthcare Applications | Best Researcher Award

Rebekah Fretwell at Sheffield Teaching Hospitals NHS Foundation Trust, United Kingdom

Profile

Scopus

Education

  • Doctorate Degree: Thesis submission due December 2024
  • MSc Pathological Sciences: University of Sheffield, 2005
  • BSc (Hons) Medicine & Pharmacology: University of Sheffield, 2003
  • A-Levels: Biology, Chemistry, English Literature, General Studies (1999)
  • GCSEs: 13 subjects including Biology, Chemistry, and Mathematics (1997)

💼 Professional Experience

  • Current Position: Senior Specialist Biomedical Scientist in Coagulation; ADAMTS-13 Section Lead; Lead Training Manager at Royal Hallamshire Hospital and Northern General Hospital, Sheffield
  • Past Roles: Union Representative for Department of Medicine & Pharmacology, University of Sheffield (2001-2003)

🔬 Research Interests

  • Recent Projects:
    • Developing automated ADAMTS-13 activity assays (2023-2024) 
    • Assessing Factor Xa inhibitors and their reversal (2012-present) 
    • Evaluating effects of Direct Thrombin Inhibitors (2004-2005) 
  • Key Contributions:
    • Setting up ADAMTS-13 activity and antibody assays 
    • Research into FVIII Inhibitor assays and new anticoagulant therapies 

🌐 Professional Membership

  • Member: Institute of Biomedical Science (MIBMS) 

📚 Teaching and Mentoring

  • Lecturer: BSc & MSc courses at University of Sheffield, Sheffield Hallam University, and Bradford University 
  • Practice Tutor/Assessor: University of Hull, supervising and assessing students in biomedical science placements

 

Publications

Practical Considerations for the Use of the Rapid AcuStar® ADAMTS13 Activity Assay in the Diagnosis of Acute Thrombotic Thrombocytopenic Purpura (TTP)

  • Authors: Yong, J., MacDonald, S., Downey, C., Pitchford, T., Dutt, T.
  • Journal: Journal of Clinical Medicine
  • Year: 2024
  • Authors: Sumaya, W., Parker, W.A.E., Fretwell, R., Ajjan, R.A., Storey, R.F.
  • Journal: Thrombosis and Haemostasis
  • Year: 2018

Multiple Centre Evaluation Study of ADAMTS13 Activity and Inhibitor Assays

  • Authors: Langley, K., Fretwell, R., Kitchen, S., Murphy, P., Scully, M.
  • Journal: International Journal of Laboratory Hematology
  • Year: 2018