Tahar Kernif | Healthcare Data Analysis | Excellence in Research

Dr. Tahar Kernif | Healthcare Data Analysis | Excellence in Research

Institut Pasteur Algérie, Algeria

Author Profile

🎓 Early Academic Pursuits

Dr. Tahar Kernif’s academic journey began in 2004 when he completed his Doctorate in Veterinary Science at the École Nationale Vétérinaire d’Alger, where he conducted a comparative study on treatments for canine Leishmaniasis. This research laid the foundation for his future work in veterinary parasitology. Dr. Kernif then pursued a Magistère in Parasitology at the same institution, focusing on zoonotic diseases and vectors, which further honed his expertise in vector-borne infections. These early academic achievements earned him distinction and sparked his lifelong commitment to studying infectious diseases.

🧑‍🔬 Professional Endeavors

Since 2013, Dr. Kernif has been a Maître de Recherche at the Institut Pasteur d’Alger, where he works on molecular techniques to study parasitic diseases in veterinary science. His research focuses on Protozoa, Helminths, and the molecular ecology of arthropod vectors. He has played an integral role in shaping the institute’s research activities on infectious diseases and environmental health, contributing to key initiatives in the field of veterinary parasitology. Dr. Kernif’s professional work is also marked by collaborations with international research institutions such as CIRAD and IRD, where he has worked on studying arthropod microbiota through meta-proteomics.

🔬 Contributions and Research Focus

Dr. Kernif’s primary research interests lie in Infectious Diseases and Health and Environment, specifically focusing on multi-omics approaches to understanding pathogen behavior. His work spans genomics, metagenomics, and proteomics, applying these techniques to study diseases like leishmaniasis and tick-borne infections. His research includes phylogenetic analysis and bioinformatic modeling, which have contributed significantly to the molecular understanding of parasite-host interactions, providing insights into disease transmission and control strategies.

🌍 Impact and Influence

Dr. Kernif’s contributions extend beyond research, as he is actively involved in national health policy and scientific review boards. He served as associate editor for New Microbes and New Infections and has been a scientific examiner for the European Society of Clinical Microbiology and Infectious Diseases (ESCMID). His work has shaped policies related to biodiversity and environmental health, especially in Algeria, where he is part of the National Expert Working Group for the Libreville Declaration on Health and Environment. His influence on public health and policy is a testament to his broad impact in both scientific and governmental circles.

📚 Academic Cites

Dr. Kernif has authored 35 international publications and contributed to two book chapters, demonstrating his prominent role in infectious disease research. His studies are frequently cited in scientific journals, reflecting his influence in veterinary parasitology and zoonotic diseases. His work in molecular epidemiology and vector-borne pathogens has made a lasting impact on the field and continues to guide contemporary research.

🛠️ Technical Skills

Dr. Kernif is highly proficient in a range of advanced techniques critical to research in parasitology and microbiology. His expertise spans capillary sequencing, next-generation sequencing (NGS), and PCR/qPCR, which are essential for molecular surveillance and unraveling genetic information. He is also skilled in MALDI-TOF Mass Spectrometry, currently in progress, allowing for detailed molecular analysis of pathogens. Additionally, Dr. Kernif utilizes bioinformatics to analyze complex datasets, helping to interpret vast amounts of biological data. His proficiency in meta-proteomics is instrumental in studying the microbiota of arthropods, providing insights into disease mechanisms and transmission. These tools equip Dr. Kernif with the ability to conduct precise and impactful research, advancing our understanding of infectious diseases.

👩‍🏫 Teaching Experience

Throughout his career, Dr. Kernif has shared his expertise through academic mentorship and scientific training. As a researcher at the Institut Pasteur d’Alger, he supervises graduate students and engages in international collaborations to promote knowledge exchange. His teaching and mentorship in the field of veterinary parasitology and infectious diseases continue to shape the next generation of scientists.

🌱 Legacy and Future Contributions

Dr. Kernif’s legacy is marked by his scientific publications, international collaborations, and his influence in shaping research policy in infectious diseases. Moving forward, his research is poised to address emerging health threats, particularly those arising from vector-borne diseases. His continued contributions to global health initiatives and his work on disease surveillance are expected to leave a lasting mark on the fields of veterinary entomology and infectious disease control.

 

📖 Top Noted Publications

Update on tick-borne rickettsioses around the world: a geographic approach
    • Authors: P Parola, CD Paddock, C Socolovschi, MB Labruna, O Medianikov, …
    • Journal: Clinical Microbiology Reviews
    • Year: 2013
Borrelia, Rickettsia, and Ehrlichia species in bat ticks, France, 2010
    • Authors: C Socolovschi, T Kernif, D Raoult, P Parola
    • Journal: Emerging Infectious Diseases
    • Year: 2012
Matrix-assisted laser desorption ionization–time of flight mass spectrometry for rapid identification of tick vectors
    • Authors: A Yssouf, C Flaudrops, R Drali, T Kernif, C Socolovschi, JM Berenger, …
    • Journal: Journal of Clinical Microbiology
    • Year: 2013
Identification of flea species using MALDI-TOF/MS
    • Authors: A Yssouf, C Socolovschi, H Leulmi, T Kernif, I Bitam, G Audoly, L Almeras, …
    • Journal: Comparative Immunology, Microbiology and Infectious Diseases
    • Year: 2014
Rickettsiae of spotted fever group, Borrelia valaisiana, and Coxiella burnetii in ticks on passerine birds and mammals from the Camargue in the south of France
    • Authors: C Socolovschi, P Reynaud, T Kernif, D Raoult, P Parola
    • Journal: Ticks and Tick-Borne Diseases
    • Year: 2012

Lucia Grumetto | Predictive Analytics | Best Researcher Award

Prof. Lucia Grumetto | Predictive Analytics | Best Researcher Award

Università di napoli Dipartimento di Farmacia, Italy

👨‍🎓 Author Profiles

🎓 Academic Foundations and Professional Development

Prof. Lucia Grumetto’s academic path began at the University of Naples Federico II, where she completed dual degrees in Pharmacy and Biological Sciences. Over her extensive career, she gained considerable experience as a Researcher, later advancing to Associate Professor in the same institution. Her qualifications are further reinforced by a Master’s Degree in Food Law (2014), underscoring her ability to integrate scientific knowledge with legal and regulatory expertise, particularly in food safety.

💼 Professional Endeavors and Expertise

Throughout her career, Prof. Grumetto has contributed significantly to both pharmaceutical research and education. Her professional journey spans multiple roles, including Researcher, Professor, and Consultant in the areas of toxicology, pharmacokinetics, and environmental health. She has been actively involved in key research initiatives aimed at understanding the behavior of endocrine disruptors in biological systems, including the human blood-brain barrier and ocular barriers. Her research projects on sustainable drug formulations and environmental monitoring are crucial in addressing both public health and ecological concerns.

🔬 Research Focus and Scientific Contributions

Prof. Grumetto’s research has a broad scope, ranging from drug development to environmental health. She has led investigations into the pharmacokinetics of pharmaceutical compounds, focusing on their absorption, distribution, and metabolism in different biological systems. Her work on the interaction of endocrine disruptors in food and environmental matrices has positioned her as a leading expert in toxicology. Notable projects include the study of pharmaceutical permeation through biological membranes and the development of novel drug delivery systems targeting cancer therapies. Her contributions have been widely recognized through numerous publications, awards, and collaborations with international research networks.

🌍 Impact on Academia and Scientific Communities

Prof. Grumetto has profoundly impacted the scientific community through her research, teaching, and publications. With over 80 peer-reviewed papers and presentations at global conferences, she has shared her expertise in pharmacokinetics, endocrine toxicology, and drug testing. Her work on endocrine disruptors has not only influenced academic research but also shaped policies on environmental safety and public health. Her Most Cited Paper Award from the European Journal of Pharmaceutical Sciences and the Best Poster Award at various symposia are testaments to her influence. Additionally, she serves on the Editorial Boards of several high-impact journals, further contributing to the academic world.

👩‍🏫 Teaching and Pedagogical Innovations

Prof. Grumetto is deeply committed to education, having taught various specialized courses at the University of Naples Federico II. Her courses, such as Quality Control and Food Safety Regulations and Xenobiotic Analysis, are integral parts of the curricula for students pursuing degrees in Nutraceutical Sciences and Pharmaceutical Sciences. Beyond her classroom responsibilities, she has taken on leadership roles in shaping internship programs and curricular development, ensuring students gain hands-on experience and the necessary skills to succeed in their professional careers.

🔧 Technical Expertise and Analytical Innovations

One of Prof. Grumetto’s strengths lies in her technical expertise, particularly in the field of analytical chemistry. Her pioneering work with HPLC, mass spectrometry, and immobilized artificial membranes (IAM) has significantly advanced pharmacokinetic research. She has developed innovative methodologies for studying drug interactions and their bioavailability, especially for substances that cross biological barriers like the blood-brain barrier. These techniques are essential for understanding drug absorption and improving drug delivery systems.

🏆 Recognition, Awards, and Achievements

Prof. Grumetto’s contributions have been recognized with numerous awards and honors. In addition to her Best Poster Awards at international conferences, she received the Most Cited Paper Award from the European Journal of Pharmaceutical Sciences. She holds several patents, including one for a dermatological patch test device to identify allergic reactions to medications. Her innovations have extended beyond the academic realm, influencing practical applications in medicine, environmental monitoring, and sustainability.

🚀 Future Contributions and Vision

Looking ahead, Prof. Grumetto continues to push boundaries in both pharmaceutical research and sustainability. Her current projects, such as FRUIPAD, aim to create biodegradable food packaging from fruit by-products, highlighting her commitment to both environmental sustainability and public health. Her ongoing studies in endocrine disruptors and drug delivery systems hold the potential to influence future healthcare strategies, particularly in personalized medicine and targeted therapies. As she continues to lead innovative projects and collaborate internationally, her future contributions will likely reshape the way pharmaceuticals and environmental health issues are addressed globally.

📖 Top Noted Publications

 The combined use of biological investigations, bio chromatographic and in silico methods to solve the puzzle of badge and its derivative’s toxicity
  • Authors: Ilaria Neri, Marialuisa Piccolo, Giacomo Russo, Maria Grazia Ferraro, Vincenzo Marotta, Rita Santamaria, Lucia Grumetto
    Journal: Chemosphere
    Year: 2024
Phenylalanine Butyramide: A Butyrate Derivative as a Novel Inhibitor of Tyrosinase
  • Authors: Ritamaria Di Lorenzo, Vincenzo Di Lorenzo, Teresa Di Serio, Adua Marzocchi, Lucia Ricci, Eleonora Vardaro, Giovanni Greco, Maria Maisto, Lucia Grumetto, Vincenzo Piccolo et al.
    Journal: International Journal of Molecular Sciences
    Year: 2024
Investigating the Effect of Surface Hydrophilicity on the Destiny of PLGA-Poloxamer Nanoparticles in an In Vivo Animal Model
  • Authors: Teresa Silvestri, Lucia Grumetto, Ilaria Neri, Maria De Falco, Sossio Fabio Graziano, Sara Damiano, Daniela Giaquinto, Lucianna Maruccio, Paolo de Girolamo, Fabrizio Villapiano et al.
    Journal: International Journal of Molecular Sciences
    Year: 2023
Dermocosmetic evaluation of a nutricosmetic formulation based on Curcuma
  • Authors: Ritamaria Di Lorenzo, Lucia Grumetto, Antonia Sacchi, Sonia Laneri, Irene Dini
    Journal: Phytotherapy Research
    Year: 2023
Validation of an LC-MS/MS Method for the Determination of Abscisic Acid Concentration in a Real-World Setting
  • Authors: Elisabetta Schiano, Ilaria Neri, Maria Maisto, Ettore Novellino, Fortuna Iannuzzo, Vincenzo Piccolo, Vincenzo Summa, Lucia Grumetto, Gian Carlo Tenore
    Journal: Foods
    Year: 2023

Akram Bennour | Biometrics | Outstanding Scientist Award

Dr. Akram Bennour | Biometrics | Outstanding Scientist Award

Echahid cheikh Larbi Tebessi University, Algeria

👨‍🎓Professional Profile

🏫 Current Position and Academic Leadership

Dr. Akram Bennour has been an Associate Professor in the Computer Science Department at the University of Tebessa, Algeria, since 2009. Throughout his tenure, he has led several academic and research initiatives, significantly shaping the university’s research output. Notably, he has served as the Vice-Rector in charge of Scientific Research and International Cooperation (2012-2014) and Deputy Vice-Rector for higher education and continuing education (2019). Additionally, he holds leadership roles in various committees, including scientific and disciplinary bodies, reflecting his influence within the academic governance structure of the university.

📚 Early Academic Pursuits and Education

Dr. Bennour’s academic journey began with his Bachelor’s degree in Computer Science (2004) from the University of Mantouri, Constantine. He then completed a Magistere in Computer Science at the University of Tebessa in 2009, followed by a Doctorate in Computer Science from the University of Annaba in 2015. His commitment to advanced research led him to earn his Habilitation degree in 2019 from the University of Oum-el-Bouaghi, Algeria, marking a pivotal moment in his academic career.

🔍 Contributions and Research Focus

Dr. Bennour’s research spans across multiple areas, emphasizing nature-inspired metaheuristics, evolutionary computation, machine learning, artificial intelligence, and pattern recognition. His work delves deeply into image processing, especially in the contexts of satellite imagery, handwriting, and medical imaging. His contributions have significantly impacted AI and computational methods applied to medical diagnostics, such as his recent focus on early detection of neural diseases through handwriting analysis (2022-2025) and pulmonary disease diagnosis (2023-2026).

He has been actively involved in various research projects, including:

  • Multi-Temporal Analysis of Images and Data Processing (2010-2013)
  • Knowledge Extraction and Analysis (2013-2016)
  • Data Protection within Electronic Administration (2020-2023)

🌍 Professional Endeavors and Global Impact

Dr. Bennour’s influence extends beyond academia. He serves as an editorial leader and guest editor for several prestigious journals, including Springer’s Pattern Recognition Letters and SNCS Special Issues, focusing on machine learning and pattern recognition. His editorial leadership has contributed to advancing research in these fields and providing a platform for global research collaborations.

Additionally, he plays an instrumental role in organizing international conferences, such as the Springer International Conference on Intelligent Systems and Pattern Recognition (ISPR), where he has served as General Chair multiple times. These roles underscore his commitment to fostering global research dialogues and knowledge exchange.

📖 Teaching Experience and Mentorship

Dr. Bennour has an extensive teaching portfolio, reflecting his dedication to educating the next generation of computer scientists. His teaching spans various critical topics, including:

  • Artificial Intelligence
  • Computer Vision
  • Data Structures and Algorithms
  • Operating Systems and Security

He has taught both undergraduate and graduate courses since 2009, with his courses focusing on hands-on programming languages (e.g., Python, C++, MATLAB) and technical areas such as machine learning, image processing, and network security. His passion for teaching is evident in his role as Head of Master’s and Bachelor’s programs at the University of Tebessa, where he has shaped the curriculum to align with current industry needs.

⚙️ Technical Skills and Expertise

Dr. Bennour is highly skilled in a range of technical areas, including:

  • Programming Languages: SQL Server, MATLAB, Python, C++, PHP/MySQL, Pascal
  • AI & Machine Learning: Expertise in pattern recognition, image analysis, and biometrics
  • System Administration: Proficient in Windows, Unix, and VMware environments
  • Data Protection & Security: Advanced skills in backup systems, Exchange servers, and Active Directory management

His interdisciplinary expertise positions him as an authority in combining AI technologies with practical applications, especially in medical diagnostics and cybersecurity.

🌟 Legacy and Future Contributions

Dr. Bennour’s contributions to both academia and industry are profound, particularly in the application of AI for real-world problems. His research continues to shape the landscape of intelligent systems, and his leadership in international conferences and journals ensures that his influence remains global. As he continues his work on early disease detection and advanced AI applications, his future contributions are likely to have significant societal impacts, particularly in healthcare and medical technology.

📈 Academic Influence and Citations

Dr. Bennour’s extensive body of research has contributed to the growing body of literature in his fields of expertise. Through his publications and editorial roles, he has advanced the academic discourse surrounding AI, machine learning, image processing, and pattern recognition. His work on pattern recognition, especially in medical contexts, is frequently cited and serves as a foundation for other scholars in related fields.

🌐 Professional Memberships and Global Networks

Dr. Bennour is an active member of several international academic communities. His roles as General Chair for the ISPR conferences and his participation in organizing multiple international conferences demonstrate his commitment to fostering global collaboration and advancing research in intelligent systems and pattern recognition. His editorial work further solidifies his position as a key figure in the academic and research community.

📖Top Noted Publications

Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network
    • Authors: H. Farah, A. Bennour, N. A. Kurdi, S. Hammami, M. Al-Sarem
    • Journal: Diagnostics
    • Year: 2024
An innovative framework to securely transfer data through the Internet of Things using advanced generative adversarial networks
    • Authors: A. Bennour, M. Elhoseny, B. D. Veerasamy, R. Bhatt, A. Agrawal, P. K. Shukla, et al.
    • Journal: Journal of High Speed Networks
    • Year: 2024
Unveiling Parkinson’s: Handwriting Symptoms with Explainable and Interpretable CNN Model
    • Authors: A. Zemmar, A. Bennour, M. Tahar, F. Ghabban, M. Al-Sarem
    • Journal: International Journal of Pattern Recognition and Artificial Intelligence
    • Year: 2024
Park-Net: A Deep Model for Early Detection of Parkinson’s Disease Through Automatic Analysis of Handwriting
    • Authors: A. Bennour, T. Mekhaznia
    • Journal: SN Computer Science
    • Year: 2024
Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification
  • Authors: F. Hazem, B. Akram, T. Mekhaznia, F. Ghabban, A. Alsaeedi, B. Goyal
  • Journal: Acta Informatica Pragensia
  • Year: 2024

Biying Fu | Machine Learning Applications | Best Researcher Award

Dr. Biying Fu | Machine Learning Applications | Best Researcher Award

Hochschule RheinMain, Germany

Professional Profile👨‍🎓

Early Academic Pursuits 📚

Dr. Biying Fu’s academic journey began with her primary and secondary education in Shanghai, China, where she developed a strong foundation in subjects like mathematics, German, English, physics, and chemistry. Her academic excellence continued through high school, culminating in an outstanding Abitur score of 1.1. She pursued a Bachelor’s degree in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology (KIT), Germany, followed by a Master’s degree with a focus on Communications and Information Technology. Dr. Fu’s academic pursuits further advanced with a Ph.D. from the Technical University of Darmstadt (TUda), where she specialized in sensor applications for human activity recognition in smart environments.

Professional Endeavors 💼

Dr. Fu’s professional career began at the Fraunhofer Institute for Integrated Circuits (IGD), where she contributed significantly to the Sensing and Perception group. Over time, she expanded her expertise into the Smart Living and Biometric Technologies department, becoming a scientific employee and project leader. Her roles included innovative work on smart environments, human activity recognition, and biometric technologies. Dr. Fu has been instrumental in creating real-world applications for sensor technologies and machine learning algorithms, with notable contributions to the Smart Floor project, which focuses on indoor localization and emergency detection in ambient assisted living environments.

Contributions and Research Focus 🔬

Dr. Fu’s research has been centered around smart environments, sensor systems, and human activity recognition. Her dissertation, titled “Sensor Applications for Human Activity Recognition in Smart Environments,” examined multimodal sensor systems, including capacitive sensors, accelerometers, and smartphone microphones, for tracking physical activities and indoor localization. Her work merges signal processing, neural networks, and data generation techniques to enhance the interaction between people and machines. Her ongoing research continues to explore the intersection of artificial intelligence and explainability, contributing to the development of transparent and interpretable machine learning models.

Impact and Influence 🌍

Dr. Fu’s research in smart technologies has far-reaching implications for assistive technologies, healthcare, and the development of intuitive human-machine interactions. Her contributions to the field of human activity recognition have improved how we use sensors to monitor and analyze daily activities in smart homes and health environments. Furthermore, her involvement in interdisciplinary projects, such as optical quality control and optical medication detection, has enhanced industrial applications of computer vision and machine learning.

Academic Cites and Recognition 📖

Dr. Fu has earned recognition in both academia and industry. Her dissertation, publications, and research projects have attracted attention in top conferences and journals. Her participation in global programs like the Summer School of Deep Learning and Reinforcement Learning at the University of Alberta further emphasizes her standing in the scientific community. Additionally, Dr. Fu has been an active participant in various educational and research initiatives, such as the REQUAS project, and she continues to serve as a professor at Hochschule RheinMain, where she focuses on the emerging field of Explainable AI.

Technical Skills ⚙️

Dr. Fu possesses advanced technical skills in various programming languages, including C/C++, Java, and Python. She is highly proficient in machine learning libraries such as Scikit-Learn, TensorFlow, Keras, and PyTorch, and has hands-on experience with simulation tools like Matlab/Simulink and CST Microwave Studio. Her expertise extends to signal processing, computer vision, and the use of embedded systems for smart applications. Additionally, Dr. Fu has a strong command of version control tools like GIT and SVN, as well as project management platforms such as JIRA and SCRUM.

Teaching Experience 👩‍🏫

Dr. Fu has contributed to the academic development of students through various teaching roles. She has served as a tutor for subjects like digital technology and wave theory during her time at KIT. As a professor at Hochschule RheinMain, she currently teaches courses in smart environments, with a focus on advanced topics in Explainable AI. Her ability to communicate complex concepts clearly and her passion for fostering intellectual curiosity have made her a respected educator in her field.

Legacy and Future Contributions 🌟

Dr. Fu’s work continues to shape the future of smart environments, human-machine interactions, and explainable AI. Her research on sensor technologies and machine learning has paved the way for smarter and more intuitive technologies in healthcare, industry, and everyday life. As she continues to contribute to both academic and industry advancements, Dr. Fu’s legacy will be marked by her dedication to the development of technologies that improve human well-being and promote transparency in artificial intelligence systems. Her ongoing contributions will continue to inspire the next generation of researchers and engineers.

📖Top Noted Publications

A Survey on Drowsiness Detection – Modern Applications and Methods

Authors: Biying Fu, Fadi Boutros, Chin-Teng Lin, Naser Damer

Journal: IEEE Transactions on Intelligent Vehicles

Year: 2024

Generative AI in the context of assistive technologies: Trends, limitations and future directions

Authors: Biying Fu, Abdenour Hadid, Naser Damer

Journal: Image and Vision Computing

Year: 2024

Biometric Recognition in 3D Medical Images: A Survey

Authors: Biying Fu, Naser Damer

Journal: IEEE Access

Year: 2023

Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality

Authors: Biying Fu, Naser Damer

Journal: IET Biometrics

Year: 2022

Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning

Authors: Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper

Journal: Book chapter

Year: 2021

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