Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

Prof. Alina Nechyporenko, Technische Hochschule Wildau, Germany

Dr. Alina Nechyporenko is an accomplished scientist and professor specializing in pattern recognition, biomedical signal processing, and data mining. Currently, she serves as a Scientist and Reader at the Technical University of Applied Sciences Wildau, Germany, where she works in the Department of Molecular Biotechnology and Functional Genome Analysis. She has also been a Professor at Kharkiv National University of Radio Electronics in Ukraine since 2018, contributing to the Faculty of Computer Science and the Department of Systems Engineering. Dr. Nechyporenko has over 70 publications in peer-reviewed journals and holds five patents. She is an expert evaluator for ISO/TC 276 Biotechnology and has been involved in several high-impact research projects, including Horizon2020, COST actions, and Erasmus+ initiatives. Her current research focuses on biomedical research, machine learning, and data management, with significant contributions to European life-science research and microbiome studies.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Alina Nechyporenko is a highly accomplished researcher in the fields of Pattern Recognition, Biomedical Signal Processing, and Machine Learning, with an extensive academic and professional background. She has demonstrated significant contributions to biomedical research, particularly in the application of data mining and computational techniques in cancer therapy, microbiome research, and deep learning. Given her work and leadership in her respective fields, she is highly suitable for the Best Researcher Award.

Education and Training

  • Expert in Evaluation Competences
    • Member of ISO/TC 276 Biotechnology, WG 2, WG 5, and national TC 166 “Clinical laboratory studies and systems for in vitro diagnostics.”
    • Technical Committee and Reviewer for the UKRCON IEEE conference.
  • Ph.D. in Computer Science
    • Specialization in Biomedical Signal Processing and Pattern Recognition
    • Thesis focused on data management and machine learning applications.
  • Publications and Patents
    • Over 70 publications in peer-reviewed scientific journals
    • Holder of 5 patents related to biomedical and computational applications.

Work Experience

2019 – Present

  • Scientist and Reader for Pattern Recognition, Biomedical Signal Processing
    • Technical University of Applied Sciences Wildau, Germany
    • Conducting research in areas such as data mining, machine learning, and data management within the Department of Molecular Biotechnology and Functional Genome Analysis.
    • Participates in Horizon2020 grant agreement ID: 654156 (RItrain – Research Infrastructures Training Programme), COST CA15110 (Harmonising standardisation strategies in European life-science research), and Erasmus + Capacity-building projects.
    • Engaged in COST CA18131 (Statistical and machine learning techniques in human microbiome studies) and DAAD “Digital Ukraine: Ensuring academic success in times of crisis” projects (2022 – 2025).

Since 2018

  • Professor
    • Kharkiv National University of Radio Electronics, Ukraine
    • Faculty of Computer Science & Department of Systems Engineering
    • Involved in teaching and research, focusing on pattern recognition, data processing, and systems engineering.

Publication top Notes:

Modeling and Computer Simulation of Nanocomplexation for Cancer Therapy

Comparison of CNN-Based Architectures for Detection of Different Object Classes

Comparison of CNN-Based Architectures for Detection of Different Object Classe

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition

Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation

Prof Dr. David Parés Martinez | Healthcare Award | Best Researcher Award

Prof Dr. David Parés Martinez | Healthcare Award | Best Researcher Award 

Prof Dr. David Parés Martinez, Hospital Germans Trias. Universitat Autònoma de Barcelona, Spain

Dr. David Parés is a distinguished specialist in General and Digestive Surgery with a robust career marked by both national and international contributions. With 152 articles indexed in PUBMED, Dr. Parés has garnered a significant impact factor of 253.576 and an H-index of 21, reflecting his extensive and influential research in the field. His publications are prominently featured in high-impact specialty journals, with 48.2% appearing in the 1st and 2nd quartiles. Currently, he serves as a Specialist Physician at the Germans Trias i Pujol Hospital in Badalona and is affiliated with the hospital’s research center (IGTP). Dr. Parés’ academic credentials include accreditation as an Associate Professor by AQU in 2011 and as a Full Professor of Surgery by ANECA in 2014. His mentorship has guided five doctoral theses, three of which are completed. His research focuses on Colorectal Emergencies, Colon Cancer, Proctology, Fecal Incontinence, and Quality of Care. In addition to authoring four book chapters, he has been involved in six research grants, including four FIS-ISCIII Grants.

 

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Dr. David Parés is a distinguished specialist in General and Digestive Surgery at the Germans Trias i Pujol Hospital in Badalona and a prominent researcher at the Institut d’Investigació en Ciències de la Salut. His extensive career, including his recent roles in the United Kingdom and Spain, highlights his exceptional contributions to the field of colorectal surgery and research.

Education:

  1. Medical Degree:
    • Institution: [Name of Institution]
    • Location: [Location]
    • Year of Graduation: [Year]
  2. Specialization in General and Digestive Surgery:
    • Institution: [Name of Institution]
    • Location: [Location]
    • Year of Completion: [Year]
  3. Additional Training and Fellowships:
    • USA Training:
      • Institution: [Name of Institution]
      • Location: USA
      • Year: 2002

Professional Experience:

  1. Current Position:
    • Employing Entity: FUNDACIÓ INSTITUT D’INVESTIGACIÓ EN CIÈNCIES DE LA SALUT GERMANS TRIAS I PUJOL
    • Position: Specialist Physician
    • Start Date: 01/01/2016
  2. Previous Positions:
    • Hospital del Mar
      • Position: Specialist Physician
      • Start-End Date: 01/02/2004 – 30/09/2019
    • Royal London Hospital – Barts NHS Trust
      • Position: Senior Clinical Fellow
      • Start-End Date: 15/01/2016 – 15/07/2016
    • Portsmouth Hospitals NHS
      • Position: Consultant Surgeon
      • Start-End Date: 01/07/2014 – 15/01/2016
    • Parc Sanitari Sant Joan de Deu
      • Position: Head of General and Digestive Surgery Service
      • Start-End Date: 01/10/2009 – 30/06/2014
    • Hospital Universitari de Bellvitge
      • Position: Specialist Physician
      • Start-End Date: 01/01/2000 – 01/02/2004

Publication top Notes:

Predictive Power of the Trigger Tool for the detection of adverse events in general surgery: a multicenter observational validation study

Breast cancer treatment in octogenarian patients | Cáncer de mama en pacientes octogenarias