Katherine SimbaƱa Rivera | Biomedicina | Young Scientist Award

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Dr. Katherine SimbaƱa Rivera | Biomedicina | Young Scientist Award

Assistant Professor at Pontificia Universidad CatĆ³lica del Ecuador, Ecuador

Summary:

Katherine SimbaƱa Rivera is a medical doctor and researcher dedicated to advancing medical knowledge and public health initiatives through extensive research and collaborative networks. With a background in molecular biomedicine and significant experience in health research management, she has authored numerous articles and co-authored books on critical health topics. Her leadership in national health research and active involvement in student scientific societies underline her commitment to fostering research capabilities and promoting healthcare access in underserved communities across Latin America.

Profile:

Scopus

Orcid

Google Scholar

šŸŽ“Education:

Katherine SimbaƱa Rivera earned her medical degree from Universidad Central del Ecuador. She further pursued a Master’s degree in Molecular Biomedicine, specializing in Basic and Translational Cancer Research, from the Universitat de Barcelona, Spain. Currently, she is enrolled in doctoral studies in Applied Health Sciences Research at the University Institute of Biomedical and Health Research (IUIBS) at Universidad de Las Palmas de Gran Canaria, Spain.

šŸ„šŸ‘Øā€šŸ«Professional Experience:

From 2021 to 2022, Katherine served as the National Director of Health Research at the Ecuadorian Ministry of Public Health, where she played a key role in drafting nine research and bioethics regulations and developing strategic guidelines for national health management. She is currently an associate researcher at the Center for Research on Health in Latin America (CISeAL) at Pontificia Universidad CatĆ³lica del Ecuador (PUCE).

Research Interests:

Katherine SimbaƱa Rivera’s research interests encompass a broad spectrum, including the Ecuadorian pharmaceutical market, COVID-19, translational cancer research, and applied health sciences. Her work focuses on advancing public health through innovative research methodologies and strategic health interventions.

Publications Top Notes šŸ“:

1. Clinical, molecular, and epidemiological characterization of the SARS-CoV-2 virus and the Coronavirus Disease 2019 (COVID-19), a comprehensive literature review

  • Authors: Ortiz-Prado, E., SimbaƱa-Rivera, K., GĆ³mez-Barreno, L., Rubio-Neira, M., …
  • Journal: Diagnostic Microbiology and Infectious Disease
  • Volume: 98
  • Issue: 1
  • Year: 2020
  • Article Number: 115094
  • Citations: 543

2. Epidemiological, socio-demographic and clinical features of the early phase of the COVID-19 epidemic in Ecuador

  • Authors: Ortiz-Prado, E., SimbaƱa-Rivera, K., Barreno, L.G., Diaz, A.M., Barreto, A., …
  • Journal: PLoS Neglected Tropical Diseases
  • Volume: 15
  • Issue: 1
  • Year: 2021
  • Article Number: e0008958
  • Citations: 171

3. Anxiety and depression in patients with confirmed and suspected COVID-19 in Ecuador

  • Authors: Paz, C., Mascialino, G., Adana DĆ­az, L., RodrĆ­guez Lorenzana, A., …
  • Journal: Psychiatry and Clinical Neurosciences
  • Volume: 74
  • Issue: 10
  • Year: 2020
  • Pages: 554-555
  • Citations: 109

4. Behavioral and sociodemographic predictors of anxiety and depression in patients under epidemiological surveillance for COVID-19 in Ecuador

  • Authors: Paz, C., Mascialino, G., Adana-DĆ­az, L., RodrĆ­guez-Lorenzana, A., …
  • Journal: PLoS One
  • Volume: 15
  • Issue: 9
  • Year: 2020
  • Article Number: e0240008
  • Citations: 80

5. The disease burden of suicide in Ecuador, a 15 yearsā€™ geodemographic cross-sectional study (2001ā€“2015)

  • Authors: Ortiz-Prado, E., SimbaƱa, K., GĆ³mez, L., Henriquez-Trujillo, A.R., …
  • Journal: BMC Psychiatry
  • Volume: 17
  • Issue: 1
  • Year: 2017
  • Pages: 1-11
  • Citations: 56

 

fahimeh nasimi | biomedical signal processing | Best Researcher Award

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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