Marco Cirillo | Interactive Analytics | Best Researcher Award

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Dr. Marco Cirillo | Interactive Analytics | Best Researcher Award

Non-Profit Polyambulance Foundation | Italy

Dr. Marco Cirillo is a distinguished cardiac surgeon whose career seamlessly bridges clinical excellence and experimental research. After completing classical studies, he graduated in Medicine and Surgery with highest honors  from the University of Bologna and specialized in Cardiac and Great Vessels Surgery. His career has encompassed leadership roles as Head of the Cardiac Surgery Unit in Bologna for six years and the Heart Failure Surgery Unit in Brescia for twelve years. With expertise spanning the full range of traditional cardiac surgery-including mitral repair, coronary bypass, valve replacement, and aortic arch procedures-Dr. Cirillo has performed over 8,000 surgeries as first surgeon. His innovative contributions include the KISS procedure for physiological left ventricular reconstruction, the “Arterial-source No-touch Aorta” technique for off-pump coronary revascularization, and the NINFEA method for annular stabilization in endocarditis. Renowned for his commitment to quality and risk management (JCI accreditation), he continues to advance the field through research on bioprostheses and ventricular assist systems, recognized internationally through publications and awards. In 2025, he earned a Master’s degree in Echocardiography from the University of Verona. Beyond medicine, his intellectual pursuits extend to writing, photography, and cosmology, where he recently published a paper exploring Darwinian natural evolution as applied to the development of the Universe.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Achilles and the Tortoise: Rethinking Evidence Generation in Cardiovascular Surgery and Interventional Cardiology", Marco Cirillo, Hearts, 2025.

"Abiotrophia defectiva and Granulicatella: A Literature Review on Prosthetic Joint Infection and a Case Report on defectiva PJI and Concurrent Native Valve Endocarditis", MCristina Seguiti; Edda Piacentini; Angelica Fraghì; Mattia Zappa; Elia Croce; Angelo Meloni; Marco Cirillo; Clarissa Ferrari; Chiara Zani; David Belli et al., Microorganisms, 2025.

"Finger ischemia in a young lady: an unusual presentation of papillary fibroelastoma with intraventricular location", Matteo Pernigo; Elisabetta Dinatolo; Marco Cirillo; Zean Mhagna; Alida Filippini; Fabiana Cozza; Marco Berti; Roberto Bazzani; Tony Sabatini; Claudio Cuccia et al., Monaldi Archives for Chest Disease, 2023.

"Exploring Personal Protection During High-Risk PCI in a COVID-19 Patient", Marco Cirillo, JACC: Case Reports, 2020.

Tanyo Tanev | Machine Learning | Best Researcher Award

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Mr. Tanyo Tanev | Machine Learning | Best Researcher Award

Technical University of Sofia | Bulgaria

Tanyo Tanev appears to be a highly suitable candidate for the Best Researcher Award. His exceptional blend of technical expertise, academic pursuit, and professional achievements in the renewable energy and electrical engineering domains clearly demonstrates research excellence and innovation. As a Ph.D. candidate at the Technical University of Sofia, he has published five scientific papers and is working on additional studies focused on photovoltaic (PV) power plants and the application of machine learning and deep learning models in energy systems-fields of growing global importance. Professionally, he has led the design and development of large-scale PV power plants worldwide, managing complex engineering, optimization, and data-driven simulation tasks. His strong background in Autocad, PVcase, PVsyst, Python, and AI frameworks like TensorFlow and Keras, combined with managerial experience and creative problem-solving, highlights his research-driven approach to technological advancement. Tanyo’s ability to merge academic knowledge with practical innovation, leadership in renewable energy projects, and continuous pursuit of scientific progress make him an outstanding contender for the Best Researcher Award.

Profiles: Scopus

Featured Publications

"Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods", T. Tanev and R. Stanev, Energies, 2025.

Mahdieh Azizian | Machine Learning | Best Researcher Award

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Dr. Mahdieh Azizian | Machine Learning | Best Researcher Award

Kerman University of Medical Sciences | Iran

Dr. Mahdieh Azizian is an accomplished scholar in Applied Mathematics with a Ph.D. in Numerical Analysis from Shahid Bahonar University of Kerman, where her doctoral research focused on optimizing dynamical models of tumor control using fuzzy dynamical systems. Building on her earlier M.Sc. and B.Sc. degrees in Applied Mathematics from the same university, she has developed a strong expertise in mathematical modeling, bioinformatics, epidemiology, and cancer research. Over the years, Dr. Azizian has actively contributed as a lecturer and workshop instructor in numerous national and international academic forums, covering topics such as cancer mathematical modeling, numerical methods, data mining, and interdisciplinary applications of mathematics in medical sciences. She has also held key academic and administrative roles, including membership in the Research Council of the School of Medicine and serving as Superintendent of the Statistics Department at Kerman University of Medical Sciences. Recognized for her teaching excellence, she was honored as a Superior Instructor in 2014, in addition to receiving distinctions as a top student during her academic studies. Through her extensive teaching, research, and administrative experiences, Dr. Azizian has established herself as a dedicated educator and researcher at the intersection of mathematics and medical sciences.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"An interval version of Black–Scholes European option pricing model and its numerical solution"

"Time Series Model for Forecasting the Prevalence of Some Important Parasitic Infections in Slaughtered Sheep in North-Central Iran"

"Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study"

"A Brief History of Listening Comprehension in Second Language Teaching and Learning"

"An Empirical Study on the Effects of Using Kahoot as a Game-Based Learning Tool on EFL Learners’ Vocabulary Recall and Retention"