Zhongzhong Hu, Data Analysis, Best Researcher Award 

Mr. Zhongzhong Hu, Data Analysis, Best Researcher Award 

Mr. Zhongzhong Hu at Wenzhou Medical University, China

🔗Profile

Orcid Profile

🏃‍♂️ Academic Background

Hu Zhongzhong is a passionate and accomplished professional in the field of physical education and sports training. He has demonstrated excellence both academically and athletically, earning recognition for his research contributions and athletic achievements. As a dedicated educator and researcher, Hu focuses on advancing sports performance and strength training methodologies.

🎓 Education

Hu Zhongzhong completed his Bachelor of Physical Education at Beijing Sport University in 2018, where he ranked second in Zhejiang Province and published a paper in the CSSCI journal. He continued his studies at the same institution, earning a Master of Physical Education and Training in 2021. During his graduate studies, he published another paper in the CSSCI journal, cementing his reputation as a top-performing student.

🏅 Professional Experience

After graduating, Hu joined Wenzhou Medical University, where he played a pivotal role in physical education teaching and track and field team training. In addition to his teaching duties, he collaborates with the China Track and Field Academy of Beijing Sport University, focusing on sports performance analysis and strength training research for high-level athletes. His athletic prowess is highlighted by his victory in the men's 400m championship at the university sports meet, clocking an impressive 49.44 seconds.

🔍 Research Interests

Hu Zhongzhong's research interests lie in sports performance analysis and strength training. He is particularly interested in comparing various training methods to enhance athletic performance, with a focus on evidence-based practices. His work aims to bridge the gap between academic research and practical applications in sports training.

📖 Publication Top Noted

Acute effects of eccentric overload training with different loading doses in male sprinters
    • Authors: Y. Liu, J. Zhang, Z. Hu, et al.
    • Journal: Heliyon
    • Year: 2024
Comparing the Effect of Isoinertial Flywheel Training and Traditional Resistance Training on Maximal Strength and Muscle Power in Healthy People: A Systematic Review and Meta-Analysis
    • Authors: Z. Hu, Y. Liu, K. Huang, et al.
    • Journal: Life
    • Year: 2024
Research on the Influence of Bolt’s Technical Changes on His Performance of the 100-meter Dash—Taking the 2009 and 2017 World Athletics Championships as Examples
    • Authors: X. Yuan, Z. Hu, T. Yuan, et al.
    • Journal: Journal of Beijing Sport University
    • Year: 2021
Competitive Ability Characteristics and Winning Rules of Winter Olympic Glissading Events
    • Authors: X. Yuan, Z. Hu, L. Jing, et al.
    • Journal: Journal of Beijing Sport University
    • Year: 2019

Marcos Herkenhoff | Data Analysis | Best Researcher Award

Dr. Marcos Herkenhoff | Data Analysis | Best Researcher Award

Doctorate at University of São Paulo, Brazil

 Profiles

Scopus Profile
Orcid Profile

Academic Background

Dr. Marcos Herkenhoff has a robust academic foundation in veterinary medicine and genetics. He earned his Doctorate in Veterinary Medicine from Santa Catarina State University (UDESC) in 2010, followed by a Master’s degree in Animal Science with a focus on animal production from the same institution in 2013. Dr. Herkenhoff further pursued his academic interests with a Ph.D. in Biological Sciences (Genetics) at São Paulo State University (UNESP-Botucatu), where he conducted significant research on the molecular characterization of heterotic hybrids in Nile tilapia. His postdoctoral research at the University of São Paulo (USP) centered on evaluating Catharina sour beer as a potentially probiotic drink, integrating multiomics techniques. Additionally, he has gained international experience through guest research roles at Technische Hochschule Wildau (TH Wildau) in Germany, where he specialized in proteome analysis of Nile tilapia hybrids. This extensive educational background equips him with a deep understanding of genetics, molecular diagnostics, and applied biotechnology.

Education

Dr. Marcos Herkenhoff completed his Doctorate in Veterinary Medicine at Santa Catarina State University (UDESC), where he laid the foundation for his career in veterinary science. He pursued further specialization with a Master’s degree in Animal Science (Animal Production) from the same institution, focusing on genetic variability in Brazilian free-range chickens. Dr. Herkenhoff continued his academic journey at São Paulo State University (UNESP-Botucatu), where he earned a Ph.D. in Biological Sciences with a thesis on molecular characterization of Nile tilapia hybrids. His postdoctoral studies at the University of São Paulo (USP) involved advanced research in food technology, particularly in developing a probiotic beer using multi-omics approaches. His academic background is complemented by international experience, including research at Technische Hochschule Wildau in Germany, enhancing his expertise in molecular diagnostics and genetic research.

Professional Experience

Dr. Herkenhoff has extensive experience in both academic and applied research settings. He was a founding partner and responsible veterinarian at Equus Group, specializing in equine genetics and athletic performance. His work also includes a postdoctoral fellowship in microbiology and molecular biology, exploring multi-omics techniques for brewing technology. He has served as an assistant professor at Universidade Sociedade Educacional de Santa Catarina (UNISOCIESC) and a guest researcher at Technische Hochschule Wildau, Germany.

Research Interests

Dr. Herkenhoff’s research spans multiple domains, including molecular diagnostics for humans and animals, population genetics of birds and fish, immunogenetics, miRNAs and gene regulation in aquatic species, and nutrigenomics. His innovative work in developing a non-alcoholic probiotic beer through combined omics approaches underscores his commitment to advancing both animal and human health through science.

📖 Publication

Cashew By-Product as a Functional Substrate for the Development of Probiotic Fermented Milk Foods

    • Authors: Marcos Edgar Herkenhoff, Igor Ucella Dantas de Medeiros, Luiz Henrique Grotto Garutti, Mateus Kawata Salgaço, Katia Sivieri, Susana M.I. Saad
    • Journal: Foods
    • Year: 2023

Genetic Structure and Biodiversity in Wild Centropomus parallelus and in Wild and Recently Domesticated Centropomus undecimallis Populations

    • Authors: Marcos Edgar Herkenhoff, Bajay MM, Carlos André da Veiga Lima-Rosa Costamilan
    • Journal: Life
    • Year: 2023

Sour Beer with Lacticaseibacillus paracasei subsp. paracasei F19: Feasibility and Influence of Supplementation with Spondias mombin L. Juice and/or By-Product

    • Authors: Ana Beatriz Praia, Marcos Edgar Herkenhoff, Oliver Broedel, Marcus Frohme, Susana M.I. Saad
    • Journal: Foods
    • Year: 2022

Variant Expression Signatures of MicroRNAs and Protein Related to Growth in a Crossbreed Between Two Strains of Nile Tilapia (Oreochromis niloticus)

    • Authors: Marcos Edgar Herkenhoff, Laura A. Bovolenta, Oliver Broedel, Luis D. dos Santos, André C. de Oliveira, Luana G.A. Chuffa, Adriana D.O. Ribeiro, Leonardo A. Lupi, Marcelo A.D. Dias, Alexandre W.S. Hilsdorf, et al.
    • Journal: Genomics
    • Year: 2021

Vitamin D Modulates Intestinal Microbiota in Inflammatory Bowel Diseases

    • Authors: Carolina Battistini, Rafael Ballan, Marcos Edgar Herkenhoff, Susana M.I. Saad, Jun Sun
    • Journal: International Journal of Molecular Sciences
    • Year: 2020

Prevalence of Anaplasma marginale, Babesia bovis, and Babesia bigemina in Cattle in the Campos de Lages Region, Santa Catarina State, Brazil, Estimated by Multiplex-PCR

    • Authors: Gabriel B. De Oliveira, André C. A. Gama, Marcos Edgar Herkenhoff, João C. P. Mattoso, Vinícius G. Pereira, Ronaldo D. R. Guimarães, Ana P. Castro, Fernanda A. F. Tavares, Mariana T. M. J. Lima, Susana M.I. Saad
    • Journal: Parasite Epidemiology and Control
    • Year: 2019

Konstantinos Kolomvatsos | Pervasive Data Science | Best Researcher Award

Assist Prof Dr. Konstantinos Kolomvatsos, Pervasive Data Science, Best Researcher Award

Assist Prof Dr. Konstantinos Kolomvatsos at University of Thessaly, Greece

Professional Profile

Scopus  Profile

Summary

Konstantinos (Kostas) Kolomvatsos is an Assistant Professor in the Department of Informatics and Telecommunications at the University of Thessaly. He has extensive experience in academia, research, and administrative roles, with a strong focus on intelligent systems, pervasive computing, and data analysis. He has held various academic positions and led numerous national and international research projects, contributing significantly to the field of computer science.

Education

  • Ph.D. in Computer Science
    Department of Informatics and Telecommunications, University of Athens
    GPA: Excellent
  • M.Sc. in Computer Science
    Department of Informatics and Telecommunications, University of Athens
    GPA: 8.48/10
  • B.Sc. in Informatics
    Department of Informatics, Athens University of Economics and Business
    GPA: 7.20/10 (Top 10% of class)

Professional Experience

  • Assistant Professor (6/2020 – Present)
    Department of Informatics and Telecommunications, University of Thessaly
  • Teaching Staff, Researcher (2017 – 6/2020)
    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens
  • Instructor in Postgraduate Programmes (2016 – 2020)
    University of Thessaly
  • Adjunct Lecturer (2014 – 2019)
    Department of Electrical and Computer Engineering, University of Thessaly
  • Teaching Assistant (2001 – 2004)
    Department of Forestry and Natural Environment Administration, Technical University of Larissa

Research Interests

Konstantinos Kolomvatsos’s research interests include:

  • Intelligent systems and pervasive computing
  • Data mining and machine learning
  • Edge computing and distributed systems
  • AI-enabled healthcare services
  • Semantic and distributed databases

Research Activities

Konstantinos Kolomvatsos has been the principal investigator for multiple European and national research projects, including:

  • ESCORT: AI Enabled Healthcare Services During Cross-Border Medical Emergencies and Regular Patient Services (Horizon Europe)
  • TRACE: Integration and Harmonization of Logistics Operations (Horizon Europe)
  • SILVANUS: Integrated Technological and Information Platform for Wildfire Management (H2020)
  • PLATON: Development of Support System for Doctors and Cancer Patients (National Funding)
  • ELLIOT: Intelligent Nutrition Assistant (H2020 Shapes Project)
  • SaveWoodenBoats: National Funding

He has also contributed as a researcher in various other European projects like ARESIBO, OCEAN2020, ROBORDER, and RAWFIE.

Konstantinos Kolomvatsos is the founder and scientific leader of the Intelligent Pervasive Systems (iPRISM) Research Group and the co-founder and director of the Research Lab ‘Intelligent Systems for Orchestrating Pervasive Computing Applications’ (METIS Lab). His work includes significant contributions to the development and scheduling of academic courses in his field.

📖 Publication Top Noted

An intelligent sequential fraud detection model based on deep learning

    • Authors: Zioviris, G., Kolomvatsos, K., Stamoulis, G.
    • Journal: Journal of Supercomputing
    • Volume: 80
    • Issue: 10
    • Pages: 14824–14847
    • Year: 2024

Autonomous proactive data management in support of pervasive edge applications

    • Authors: Kolomvatsos, K., Anagnostopoulos, C.
    • Journal: Future Generation Computer Systems
    • Volume: 155
    • Pages: 108–120
    • Year: 2024

Cluster based similarity extraction upon distributed datasets

    • Authors: Moustakas, T., Kolomvatsos, K.
    • Journal: Cluster Computing
    • Volume: 27
    • Issue: 3
    • Pages: 2917–2929
    • Year: 2024

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

    • Authors: Lioliopoulos, P., Oikonomou, P., Boulougaris, G., Kolomvatsos, K.
    • Journal: Sensors
    • Volume: 24
    • Issue: 7
    • Article Number: 2273
    • Year: 2024

Data management and selectivity in collaborative pervasive edge computing

    • Authors: Papathanasiou, D., Kolomvatsos, K.
    • Journal: Computing
    • Status: Article in Press
    • Year: 2024