Max Lenz | Health Professions | Young Scientist Award

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Dr. Max Lenz | Health Professions | Young Scientist Award

Resident Phycisian | Medical university of vienna, Austria

Priv. Doz. Dr. med. univ. Max Lenz, PhD, is an Austrian specialist in Internal Medicine and Cardiology at the Medical University of Vienna. He pursued medical studies at the Medical University of Vienna. He completed his PhD in Vascular Biology in 2023 and obtained Venia Docendi in 2024. His clinical and research expertise lies in ischemia-reperfusion injury, inflammatory responses, and cardiac biomarkers. Dr. Lenz has authored numerous publications and received prestigious awards for his contributions to cardiovascular medicine.

Publication Profile

Scopus

🎓Education

Dr. Lenz attended Ätsch Schule for primary education and Neulandschule Laaerberg for secondary school. He pursued medical studies at the Medical University of Vienna, where he later enrolled in a PhD program (n094) focusing on Vascular Biology from 2016 to 2023. In 2024, he was awarded Venia Docendi, recognizing his academic expertise and teaching qualification in medicine.

💼Experience

Dr. Lenz began his professional career as a Study Coordinator at the Division of Cardiology, Medical University of Vienna (2017–2018). He pursued a PhD in Vascular Biology (2016–2023) while completing his residency at the Medical University of Vienna (2018–2024). In 2024, he was appointed Specialist for Internal Medicine and Cardiology at the Division of Cardiology, where he continues his clinical and academic endeavors.

🏆Awards and Honors

Dr. Lenz has received multiple prestigious awards, including the ÖKG Grant (2017) for his research on mitochondrial DNA in ischemia-reperfusion injury. He won the CVC Publication Prize (2022) for his work on intracellular Na+ modulation in inflammatory response. In 2023, he received the Best Abstract Prize at ÖSKIM for his study on NSE measurements in ICU patients. In 2024, he was awarded the Medizinisch-Wissenschaftlichen Fonds des Bürgermeisters der Bundeshauptstadt Wien for research on inflammatory markers in fulminant myocarditis.

🔬Research Focus

Dr. Lenz’s research focuses on vascular biology, ischemia-reperfusion injury, mitochondrial function, and inflammatory processes in cardiology. His work explores pharmacologic modulation of intracellular Na+ levels, biomarkers for cardiac risk stratification, and immune responses in myocardial infarction and myocarditis. His studies have significantly contributed to understanding cardiovascular pathophysiology, with 13 first/last-author publications and 22 co-authored papers.

Conclusion

Dr. Max Lenz is a highly competitive candidate for the Young Scientist Award, given his outstanding research achievements, academic excellence, and contributions to cardiology. Expanding international collaborations and leadership roles could further solidify his profile as a top contender.

Publications

  • Title: Routinely Available Inflammatory Biomarkers Are Not Associated With Target Lesion Revascularization After Coronary Intervention
    Year: 2025
    Authors: Eva Steinacher, Andreas Hammer, Ulrike Baumer, Lorenz Koller, Alexander Niessner

 

  • Title: Urinary Output as a Predictor of Mortality in Cardiogenic Shock: An Explorative Retrospective Analysis
    Year: 2024
    Authors: Sebastian Markart, Alexander Hermann, Florian Chiari, Thomas Staudinger, Robert Zilberszac

 

  • Title: NT-proBNP Reflects Left Ventricular Hypertrophy Rather than Left Ventricular Dilatation or Systolic Dysfunction in Patients with Fabry Disease
    Year: 2024
    Authors: Constantin Gatterer, Dietrich Beitzke, Gère Sunder-Plaßmann, Senta Graf, Max Lenz

 

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

📈Core 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)

💼Professional 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

🎓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

🏫Employment History

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

🔬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.

🏆 Awards and Honors 

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

Publications Top Notes 📝

  • 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