Snezhana Abarzhi | Data Science | Best Researcher Award

Prof Dr. Snezhana Abarzhi | Data Science | Best Researcher Award

Prof Dr. Snezhana Abarzhi at University of Western Australia, United States

👨‍🎓 Profile

Summary 🌟

Prof. Dr. Snezhana Abarzhi is a prominent researcher in Theoretical and Applied Physics, with a focus on the dynamics of complex systems. Her pioneering work addresses fluid instabilities and mixing, making significant contributions to scientific computing and applied mathematics.

Education 🎓

She earned her PhD in Mathematics & Physics in 1994 from the Landau Institute for Theoretical Physics and the Kapitza Institute for Physical Problems in Russia. Prior to that, she completed her MS in Applied Mathematics & Physics at the Moscow Institute for Physics & Technology in 1990, and obtained her BS in Applied Mathematics & Physics as well as Molecular Biology in 1987 from the same institution.

Professional Experience 💼

Since 2016, Prof. Abarzhi has served as Professor and Chair of Applied Mathematics at the University of Western Australia. She has held prestigious positions, including Guest Professor at Caltech and Visiting Professor at Stanford University. Her previous roles include professorships at Carnegie Mellon University and the University of Chicago, among other leading institutions worldwide.

Research Interests 🔍

Her research interests span the dynamics of plasmas, fluids, and materials, with expertise in theoretical analysis of complex systems, including far-from-equilibrium and non-linear dynamics. She has made notable contributions to understanding fluid instabilities, interface dynamics, and mixing processes.

📖  Top Noted Publications

On kinematic viscosity, scaling laws and spectral shapes in Rayleigh-Taylor mixing plasma experiments

Author: Snezhana I. Abarzhi; Kurt C. Williams
Journal: Physics Letters A
Year: 2024

Data-Based Kinematic Viscosity and Rayleigh–Taylor Mixing Attributes in High-Energy Density Plasmas

Author: Snezhana I. Abarzhi; Kurt C. Williams
Journal: Atoms
Year: 2024

Interlinking Rayleigh–Taylor/Richtmyer–Meshkov interfacial mixing with variable acceleration and canonical Kolmogorov turbulence

Author: Snezhana I. Abarzhi
Journal: Physics of Fluids
Year: 2024

Perspective: group theory analysis and special self-similarity classes in Rayleigh–Taylor and Richtmyer–Meshkov interfacial mixing with variable accelerations

Author: Snezhana I. Abarzhi
Journal: Reviews of Modern Plasma Physics
Year: 2024

An analysis of the buoyancy and drag parameters in Rayleigh-Taylor dynamics

Author: Des Hill; Snezhana Abarzhi
Journal: Mathematical Modelling of Natural Phenomena
Year: 2023

François Guillard | Data Science | Best Researcher Award

Dr. François Guillard | Data Science | Best Researcher Award

Doctorate at The University of Sydney, Australia

👨‍🎓 Profiles

Academic Background 🎓

François Guillard was born in Poitiers, France, in 1987. His educational journey began with a Bachelor’s Degree in Science of Matter – Physics and a Master’s Degree in Fundamental Physics from École Normale Supérieure of Lyon. He completed his PhD in Physics at Aix-Marseille University in 2013, focusing on drag and lift forces in granular media. He furthered his qualifications with a Graduate Certificate in Educational Studies (Higher Education) from The University of Sydney.

Professional Experience 🛠️

François is currently a Senior Lecturer in Geotechnical Engineering at The University of Sydney, where he also serves as Director of Postgraduate Studies and IT. His previous roles include Lecturer in Geotechnical Engineering and Post-doctoral Researcher at the same institution. He has been actively involved in academic integrity, radiation safety, and various scientific review committees.

Research Contributions 🔬

François’s research spans a range of topics in granular media and geomechanics. His recent publications include studies on the modeling of comminution in rotary mills, the use of X-ray techniques in froth flotation, and the impact of shaped boundaries on brittle porous media. His work has been published in journals such as Granular Matter, Physical Review E, and Minerals Engineering.

Conference Presentations & Invitations 🎤

François has been a keynote and invited speaker at numerous international conferences and workshops. Notable appearances include the 8th International Conference on Discrete Element Methods and the Image is Everything workshop at the Lorentz Center. His talks often focus on advancements in granular science and geomechanics.

Fundings 💵

He has secured various research and education grants, including ARC funding for novel granular stress sensors and projects related to chemical degradation in brittle geomaterials. François has also been involved in consulting projects, such as the upgrade of slope reinforcement software.

Teaching 📖

François teaches both undergraduate and postgraduate courses at The University of Sydney, including Numerical Methods in Civil Engineering and Geotechnical Engineering. He also supervises capstone theses and contributes to PhD programs with courses on particle mechanics and discrete element methods.

Computing Skills 💻

François is skilled in several programming languages, including C++, C, Matlab, and Python. He has expertise in software development for geotechnical applications and is familiar with tools like Liggghts and various specialized software for data analysis and visualization.

Personal Interests 🎸🔭

Outside of his professional life, François enjoys hiking, playing classical guitar, and amateur astronomy. He has a passion for electronic and analog photography and is actively involved in software development.

📖 Publications

Heterarchical modelling of comminution for rotary mills: part I—particle crushing along streamlines
    • Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
    • Journal: Granular Matter
    • Year: 2024
Heterarchical modelling of comminution for rotary mills: part II—particle crushing with segregation and mixing
    • Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
    • Journal: Granular Matter
    • Year: 2024
Novel application of X-ray characterisation techniques in froth flotation for the study of bubble clusters
    • Authors: Bournival, G., Kim, Y.C., Shah, I., Guillard, F., Ata, S.
    • Journal: Minerals Engineering
    • Year: 2024
Behavioural zone identification in rotary mills
    • Authors: Guillard, F., Shelley, P., Einav, I.
    • Journal: Minerals Engineering
    • Year: 2024
Influence of shaped boundaries on propagating compaction bands in brittle porous media
    • Authors: Riley, D.M., Valdes, J.R., Einav, I., Guillard, F.
    • Journal: Physical Review E
    • Year: 2023
A scaling law for the length of granular jumps down smooth inclines
    • Authors: Escobar, A., Guillard, F., Einav, I., Faug, T.
    • Journal: Journal of Fluid Mechanics
    • Year: 2023

Yuhan Nie | Spatial Data Analysis | Best Researcher Award

Dr. Yuhan Nie | Spatial Data Analysis | Best Researcher Award

Doctorate at School of Transportation Engineering, Chang'an University, China

 Profile

Orcid Profile

🚀 Summary

Yuhan Nie is a driven Ph.D. student at the School of Transportation Engineering, Chang'an University, who has shown significant promise in the field of transportation engineering. With a keen interest in traffic safety and the utilization of big data, Yuhan has contributed substantially to understanding and improving transportation systems. His work is characterized by innovation and practical applications, aiming to enhance road safety and infrastructure.

🎓 Education

Yuhan graduated with a degree in Transportation Engineering from Changsha University of Science and Technology in June 2022. In the same year, he was admitted to the School of Transportation Engineering at Chang'an University to pursue a master's degree. Starting in 2024, he will embark on a doctoral program at the same institution, furthering his expertise and research capabilities in transportation engineering.

💼 Professional Experience

During his graduate studies, Yuhan focused on developing transportation engineering software and conducting traffic safety research. He has published two SCI papers, contributed to conference presentations, and received three competition awards. Yuhan has also authored two software works and holds a patent, showcasing his commitment to innovative problem-solving within the industry.

🔍 Research Interests

Yuhan's research interests include the application of big data to analyze traffic patterns and improve road safety. He has examined lane-changing behaviors to provide insights into traffic flow dynamics and infrastructure design. By utilizing data-driven methodologies, Yuhan aims to create solutions that optimize transportation systems and enhance safety for all road users.

🌟 Contributions

Yuhan is dedicated to advancing the field of transportation engineering through his research and innovations. His work on lane-changing behavior has resulted in the publication of two SCI papers, which offer valuable insights for improving road design and safety analysis. These contributions highlight his ability to bridge the gap between academic research and real-world applications.

📖 Publication

 Analysis of the Duration of Mandatory Lane Changes for Heavy-Duty Trucks at Interchanges
  • Authors: Min Zhang, Nie Yuhan, Chi Zhang, Bo Wang, Shengyu Xi
  • Journal: Sustainability
  • Year: 2024

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