François Guillard | Data Science | Best Researcher Award

Published on by Research Data Analysis

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

Sadoon Abdallah | Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Dr. Sadoon Abdallah | Data Analysis | Best Researcher Award

Doctorate at University of Anbar, Iraq

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

🌟 Academic Background

Dr. Abdallah is a seasoned lecturer in Civil Engineering, specializing in building and construction materials as well as construction management. With significant experience in collaborating with sponsors, stakeholders, and solution providers, he emphasizes sustainable construction technologies and their practical applications. His research interests include construction waste management and valorisation. Dr. Abdallah is recognized for his meticulous organization, analytical skills, and ability to perform under pressure, ensuring high-quality project delivery within budget.

🎓 Education

  • PhD in Civil and Environmental Engineering from Brunel University London, UK (Oct 2013 – Nov 2017). His research focused on bonding mechanisms and strength of steel fibre reinforced cementitious composites (SFRCCs).
  • MSc (Hons) in Structural Engineering from University Sains Malaysia (USM), Malaysia (Jul 2010 – Apr 2012). His dissertation explored the use of waste glass as a fine aggregate replacement in concrete blocks.
  • BSc (Hons) in Civil Engineering from University of Anbar, Iraq (Sept 2002 – Jun 2006). His final year dissertation studied the effect of aggregate size on the mechanical properties of concrete.

💼 Employment History

  • Lecturer/Head of Studies and Planning Unit at University of Anbar, Iraq (Oct 2018 – Present). Dr. Abdallah teaches various modules, develops innovative teaching practices, engages in research, and maintains professional relationships.
  • Area Manager at Relief International, Iraq (Jan 2018 – Sep 2018). He managed operations, ensured safety, and facilitated communication with local governments and donors.
  • Teaching Assistant/Research Associate at Brunel University London, UK (Oct 2013 – Jan 2018). He prepared lectures, assisted in experimental programs, and evaluated student work.
  • National Project Assistant with FAO and UNIDO, Iraq (Oct 2009 – Dec 2010). He supported project management and implementation.
  • Supervisor Engineer at USAID/Management System International (MSI), Iraq (Apr 2008 – Jun 2009). Responsibilities included project planning, team management, and compliance with standards.
  • Site Engineer at International Relief & Development (IRD) Organization, Iraq (Nov 2007 – Mar 2008). He oversaw civil engineering projects and coordinated contractor work.

🏅 Awards

  • Dean’s Prize for Innovation and Impact from Brunel University London, UK (2017).
  • Vice-Chancellor’s Travel Prize for Postgraduate Research from Brunel University London, UK (2016).

🔬 Professional Activities

Dr. Abdallah serves as a peer reviewer for leading journals including Construction and Building Materials, Waste Management, and Structural Concrete.

🏛️ Memberships

  • Member of the Institution of Civil Engineers (ICE), UK.
  • Member of Brunel University Civil Engineering Society, UK.
  • Member of the Iraqi Engineers Union, Iraq.

📖 Publications

Bonding mechanisms and strength of steel fiber–reinforced cementitious composites: Overview

  • Authors: S. Abdallah, M. Fan, D.W.A. Rees
  • Journal: Journal of Materials in Civil Engineering
  • Year: 2018

Characteristics of concrete with waste glass as fine aggregate replacement

  • Authors: S. Abdallah, M. Fan
  • Journal: International Journal of Engineering and Technical Research
  • Year: 2014

Bond-slip behaviour of steel fibres in concrete after exposure to elevated temperatures

  • Authors: S. Abdallah, M. Fan, K.A. Cashell
  • Journal: Construction and Building Materials
  • Year: 2017

Pull-out behaviour of hooked end steel fibres embedded in ultra-high performance mortar with various W/B ratios

  • Authors: S. Abdallah, M. Fan, X. Zhou
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2017

Anchorage effects of various steel fibre architectures for concrete reinforcement

  • Authors: S. Abdallah, M. Fan, X. Zhou, S. Le Geyt
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2016

Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Published on by Research Data Analysis

Dr. Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Doctorate at Jiangsu University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Seyedeh Azadeh Fallah Mortezanejad, born on July 31, 1990, in Rasht, Iran, is an accomplished statistician specializing in statistical inferences and quality control. Her work focuses on maximum entropy, copula functions, and machine learning applications, reflecting her expertise in diverse areas of statistics and data analysis.

🎓 Academic Background

Dr. Mortezanejad earned her Ph.D. in Statistical Inferences from Ferdowsi University of Mashhad, Iran (2015-2020), with a thesis on “Applications of entropy in statistical quality control.” She completed her M.Sc. in Mathematical Statistics at Guilan University, Rasht, Iran (2012-2014), where her thesis was titled “Semi-parametric estimation of conditional Copula.” Her academic journey began with a B.Sc. in Statistics from Guilan University, Rasht, Iran (2008-2012).

💼 Professional Experience

Dr. Mortezanejad has taught various courses at prominent institutions, including Ferdowsi University of Mashhad and University of Guilan. Her teaching experience includes courses such as Statistics and Probability for Engineering, Applied Statistics 2, and Statistics and Probabilities in Management. Additionally, she has served as a Teacher Assistant for several courses, including “Statistics for Economy I and II” and “Mathematical Statistics,” at Ferdowsi University of Mashhad.

🔬 Research Interests

Her research interests encompass a range of topics including Maximum Entropy, Measures of Information, Copula Functions, Tied Observations, Machine Learning, Image Processing, Quality Control, and Control Charts. Dr. Mortezanejad’s work explores innovative applications and methodologies in these fields.

📝 Published Articles

Dr. Mortezanejad has authored several notable publications. Her work includes articles such as “Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms” in Entropy (2024) and “Joint dependence distribution of data set using optimizing Tsallis copula entropy” in Physica A (2019). Other significant contributions include research on entropic structures in capability indices and the analysis of stock data based on copula functions.

🎤 Seminars

Dr. Mortezanejad has actively participated in international seminars and workshops. Notable presentations include “Profile Control Chart Based on Maximum Entropy” at the International Workshop on Responsible AI in Vietnam (2023) and discussions on Variational Bayesian Approximation (VBA) at the 41st and 42nd International Workshops on Bayesian Inference in France and Germany (2022-2023). She has also contributed to workshops on copula theory and information measures in Iran.

🧑‍🔬 Reviewer

She has been recognized as a Certified Reviewer for Helion Journal (2024) and has served as a reviewer for the 16th FLINS Conference and the 19th ISKE Conference in Spain (2024).

💻 Software Skills

Dr. Mortezanejad is proficient in several software and programming languages, including Python, R, MATLAB, Scilab, and C++. She is also skilled in SPSS Modeler, SPSS Statistics, and Minitab, with experience in using Latex for academic writing and documentation.

📖 Publications

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms”

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Entropy
    Year: 2024

Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Physical Sciences Forum
    Year: 2023

Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Conference: MaxEnt 2022
    Year: 2023

Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo

  • Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
    Journal: Reviews on Recent Clinical Trials
    Year: 2022

An Entropic Structure in Capability Indices

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Communications in Statistics – Theory and Methods
    Year: 2019

Joint Dependence Distribution of Data Set Using Optimizing Tsallis Copula Entropy

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2019

 

Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Published on by Research Data Analysis

Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background 

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection
    • Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
    • Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
    • Year: 2024
Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
    • Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
    • Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
    • Year: 2024
Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine
    • Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
    • Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
    • Year: 2024
Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables
    • Author: Dr. Madan Mohan Tito Ayyalasomayajula
    • Journal: Journal of Electrical Systems
    • Year: 2024
Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features
    • Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
    • Journal: International Journal of Electrical and Computer Engineering (IJECE)
    • Year: 2024

Yuhan Nie | Spatial Data Analysis | Best Researcher Award

Published on by Research Data Analysis

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

Zhongzhong Hu, Data Analysis, Best Researcher Award 

Published on by Research Data Analysis

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

Maria Lityńska-Zając, Environmental Data Analysis, Best Researcher Award

Published on by Research Data Analysis

Assist Prof Dr. Maria Lityńska-Zając, Environmental Data Analysis, Best Researcher Award

Assist Prof Dr. Maria Lityńska-Zając at Institute of Archaeology and Ethnology Polish Academy of Sciences, Poland

Profiles

Scopus Profile

 🌟 Summary

Maria Lityńska-Zając is a prominent archaeologist-botanist renowned for her expertise in archaeobotanical analysis. With a distinguished career, she has conducted extensive research on macroscopic plant remains from archaeological sites across Europe and beyond. Her work is celebrated for its impact on understanding prehistoric and early medieval agriculture.

🎓 Education

  • Habilitation (2006): Institute of Archaeology and Ethnology, Polish Academy of Sciences. Thesis: Segetal Weeds in Prehistoric and Early Medieval Farming.
  • Doctor of Biology (1996): W. Szafer Institute of Botany, Polish Academy of Sciences, Cracow. Thesis: Vegetation and Agriculture in the Roman Iron Age in Poland: An Archaeobotanical Study.
  • Master of Biology (1982): Faculty of Biology, Jagiellonian University, Cracow. Thesis: Plant Remains from the Roman Period from Site 1 at Wyszembork.

💼 Professional Experience

Maria is a Professor at the Institute of Archaeology and Ethnology, Polish Academy of Sciences. She has carried out archaeobotanical research at over 50 sites in Poland and has been involved in excavations and analysis of plant remains from Egypt, Hungary, Serbia, Spain, Slovakia, Greece, and Bulgaria. She is the author and co-author of more than 250 publications, including seven books, with a notable work being Przewodnik do badań archeobotanicznych (Guidebook to Archaeobotanical Studies, 2005).

🔬 Research Interests

Her research focuses on the archaeobotanical analysis of plant remains, studying prehistoric and early medieval farming practices, and understanding the role of segetal weeds in historical agriculture.

📖 Publication

Unveiling Hunnic legacy: Decoding elite presence in Poland through a unique child's burial with modified cranium
    • Authors: J.M. Niebylski, H. Dobrzańska, A. Szczepanek, M. Baca, A. Götherström
    • Journal: Journal of Archaeological Science: Reports
    • Year: 2024
Early farming settlement of the marginal zone of loess uplands and its palaeoenvironmental context - A case study of the Iłza Piedmont (S Poland)
    • Authors: M. Szeliga, P. Mroczek, R. Dobrowolski, J. Barga-Wiȩcławska, P. Zagórski
    • Journal: Praehistorische Zeitschrift
    • Year: 2023
Results of Natural Science Analyses of the Baden Culture Materials in the Šariš Region, North-Eastern Slovakia
    • Authors: E. Horváthová, M. Lityńska-Zając, A. Rauba-Bukowska, J. Wilczyński, A. Zastawny
    • Journal: Slovenska Archeologia
    • Year: 2022
Archaeobotanical Studies in Poland – Historical Overview, Achievements, and Future Perspectives
    • Authors: M. Badura, M. Lityńska-Zając, M. Makohonienko
    • Journal: Acta Societatis Botanicorum Poloniae
    • Year: 2022
Utilisation of plant materials in houses of the Linear Pottery Culture. A case study of Brzezie
    • Authors: M. Lityńska-Zając, A. Czekaj-Zastawny
    • Journal: Journal of Archaeological Science: Reports
    • Year: 2021
Plant remains found in archaeological sites in the Carpathian foothills - preliminary report
    • Authors: M. Lityńska-Zając, M. Moskal-del Hoyo, K. Cywa
    • Book: Bronze Age Tell Communities in Context: An Exploration into Culture, Society, and the Study of European Prehistory. Part 2 Practice - The Social, Space, and Materiality
    • Year: 2020
The early Holocene archaeological evidence (Site E-05-1) in Bargat El-Shab (Western Desert Egypt)
    • Authors: P. Bobrowski, M. Lityńska-Zając, M. Osypińska, M. Jórdeczka
    • Journal: Archaeologia Polona
    • Year: 2020
Plant use in Muslim Spain: Preliminary results from the medieval town of Madīnat Ilbīra
    • Authors: M. Lityńska-Zając, M. Rębkowski
    • Journal: Acta Palaeobotanica
    • Year: 2020

Jaeyoung Cho | Data Management for Environment | Best Researcher Award

Published on by Research Data Analysis

Prof. Jaeyoung Cho | Data Management for Environment | Best Researcher Award

Professor at University of Wollongong in Dubai, United Arab Emirates

 Profile

Scopus profile
Orcid Profile

Assistant Professor, Management Faculty, University of Wollongong in Dubai 🎓📈

👨‍⚕️ Academic Background:

Jaeyoung Cho is an accomplished scholar in strategic management and organizational theory, specializing in corporate governance, competitive dynamics, and firm performance. With a robust academic background and a record of significant research contributions, Dr. Cho combines theoretical insights with practical implications to address contemporary business challenges.

🎓 Education

  • Postdoctoral Fellow at Hong Kong University of Science and Technology, Hong Kong (2020-2021)
  • Ph.D. in Strategic Management and Organizational Theory from Kyungpook National University, Korea (2017-2020). Thesis: “Corporate Governance, Competitive Actions, and Firm Performance”
  • M.A. in Strategic Management and Organizational Theory from Kyungpook National University, Korea (2015-2017). Thesis: “SME Internationalization and Performance: The Role of Ownership Structure”
  • B.A. in Global Business Administration from University of Ulsan, Korea (2010-2015)
  • High School Diploma from Reddam House High School, Sydney, Australia (2007-2009)

💼 Professional Experience

  • Assistant Professor (Management) and Discipline Leader of Management at University of Wollongong in Dubai (2021-Present)
  • Researcher at Korean Ministry of Education’s Brain Korea 21 Plus (2015-2020)
  • Senior Researcher at the Research Institute of Creative and Cultural Industries, Korea (2015-2020)
  • Teaching and Research Assistant at School of Business Administration, Kyungpook National University (2015-2019)

🔬 Research Interests

Dr. Cho’s research explores competitive dynamics, corporate governance, and firm performance, particularly within the context of family firms and SMEs. His recent projects focus on leveraging generative AI, enhancing credit risk assessment through machine learning, and evaluating AI’s impact on ESG performance in the Middle East.

📖 Publication

A better start: board diversity matters in assessing stock price crash risk

    • Authors: K. Cho, J. Cho, Y. Bian
    • Journal: Corporate Governance
    • Volume: 23
    • Issue: 6
    • Pages: 123-138
    • Year: 2023

Leading digital business model transformation in the K-pop industry: the case of SM Entertainment

    • Authors: J. Cho, Y. Bian, J. Lee
    • Journal: Asia Pacific Business Review
    • Volume: 29
    • Issue: 1
    • Pages: 45-62
    • Year: 2023

Thriving in the global competitive landscape: competitive dynamics and longevity of emerging market firms

    • Author: J. Cho
    • Journal: Asian Business and Management
    • Volume: 22
    • Issue: 2
    • Pages: 197-214
    • Year: 2023

Data Management for Environmentally Sustainable and Profitable Business: Evidence from the Food Retail Industry

    • Authors: Judy Dibsi, J. Cho
    • Journal: Sustainability
    • Volume: 15
    • Issue: 23
    • Pages: 16298
    • Year: 2023

Speed of FDI expansions and the survival of Korean SMEs: the moderating role of ownership structure

    • Authors: J. Cho, J. Lee
    • Journal: Asian Business and Management
    • Volume: 16
    • Issue: 4
    • Pages: 335-354
    • Year: 2020

Internationalization and longevity of Korean SMEs: the moderating role of contingent factors

    • Authors: J. Cho, J. Lee
    • Journal: Asian Business and Management
    • Volume: 17
    • Issue: 1
    • Pages: 21-43
    • Year: 2018

Natasa Zivic | Predictive Analytics | Best Researcher Award

Published on by Research Data Analysis

Prof Dr. Natasa Zivic | Predictive Analytics | Best Researcher Award

Prof Dr. Natasa Zivic at University of Applied Sciences in Leipzig, Germany

Author Profile

Orcid Profile
Google Scholar

🌟Summary

Prof. Dr.-Ing. habil. Natasa Zivic is a distinguished professor specializing in information and coding theory and real-time image processing at the University of Applied Sciences in Leipzig, Germany. She is a leading researcher in predictive data analysis and robust real-time image and message communications, with a particular focus on applications in artificial intelligence and the car industry. Prof. Zivic has an extensive publication record, including 9 books, over 100 conference and journal papers, and several patents. She actively participates in international conferences and serves as a reviewer and editor for various scientific journals.

🎓Education

  • Ph.D. in Electrical Engineering, University of Siegen, Germany, 2007
  • Postdoctoral Habilitation, University of Siegen, Germany, 2013
  • Magister Thesis, University of Belgrade, Serbia, 2002
  • Bachelor’s Degree in Electrical Engineering, University of Belgrade, Serbia, 1999

💼 Professional Experience

Prof. Dr.-Ing. habil. Natasa Zivic is currently a professor at the University of Applied Sciences in Leipzig, Germany, where she specializes in information and coding theory and real-time image processing. Her professional experience spans various roles, including serving as a security expert in the car industry. Prof. Zivic is actively engaged in research focused on predictive data analysis and robust real-time image and message communications, particularly within the context of artificial intelligence. She has a prolific publication record, authoring 9 books, over 100 conference and journal papers, and several patents. Additionally, Prof. Zivic is a regular participant in international conferences and contributes to the academic community as a reviewer and editor for numerous scientific journals.

🔬 Research Interests

Prof. Dr.-Ing. habil. Natasa Zivic’s research interests lie at the intersection of predictive data analysis, robust real-time image and message communications, and artificial intelligence. She is particularly focused on developing innovative solutions for enhancing the efficiency and security of communication systems in real-time environments. Her work extends to the automotive industry, where she explores the application of advanced AI techniques to improve vehicle communication and security systems. Prof. Zivic is dedicated to advancing the field through her research, publications, and active participation in the scientific community.

📖 Publication Top Noted

  • Authors: Obaid Ur-Rehman, Natasa Zivic
    Journal: Störungstolerante Datenauthentifizierung für drahtlose Kommunikation
  • Year: 2024
  • Authors: Cyril Neba, Gillian Nsuh, Adrian Neba, F Webnda, Victory Ikpe, Adeyinka Orelaja, Nabintou Anissia Sylla
    Journal: Asian Research Journal of Mathematics
  • Year: 2024
  • Authors: Obaid Ur-Rehman, Natasa Zivic
    Journal: Störungstolerante Datenauthentifizierung für drahtlose Kommunikation
  • Year: 2024
  • Authors: Obaid Ur-Rehman, Natasa Zivic
    Journal: Störungstolerante Datenauthentifizierung für drahtlose Kommunikation
  • Year: 2024
  • Authors: Obaid Ur-Rehman, Natasa Zivic
    Journal: Störungstolerante Datenauthentifizierung für drahtlose Kommunikation
  • Year: 2024

Md. Torequl Islam | Healthcare Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Dr. Md. Torequl Islam, Healthcare Data Analysis, Best Researcher Award

Doctorate at Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh

Professional Profile

Scopus Profile
Google Scholar Profile

🌟Summary:

Md. Torequl Islam, PhD, is an accomplished researcher and educator specializing in pharmaceutical sciences and biotechnology. He holds a Doctorate in Biotechnology from Federal University of Piaui, Brazil, with expertise in oxidative stress, nanoemulsion characterization, and toxicology. Currently, he serves as an Associate Professor at BSMRSTU, Bangladesh, conducting neurobiological research on natural compounds.

🎓 Education:

  • PhD in Biotechnology, Federal University of Piaui, Brazil (2017)
  • M.Pharm., Southern University Bangladesh (2014)
  • B.Pharm., Khulna University, Bangladesh (2010)

💼 Professional Experience:

  • Postdoctoral Fellow, Pharmacy Discipline, Khulna University, Bangladesh (2024 – Present)
  • Associate Professor, Department of Pharmacy, BSMRSTU, Bangladesh (2023 – Present)
  • Assistant Professor, Department of Pharmacy, BSMRSTU, Bangladesh (2019 – 2023)
  • Lecturer, Department of Pharmacy, BSMRSTU, Bangladesh (2018)
  • Lecturer, Department of Pharmacy, Southern University Bangladesh (2008 – 2014)
  • Postdoctoral Research, Federal University of Piaui, Brazil (2017 – 2018)
  • Part-time Researcher, Ton Duc Thang University, Vietnam (2018 – 2021)

🔬 Research Interests:

Dr. Md. Torequl Islam’s research interests encompass a diverse spectrum within pharmaceutical sciences and biotechnology, focusing on neurobiological studies of natural compounds, nanoemulsion technology, toxicology, and risk assessment. He is actively involved in exploring the therapeutic potential of bioactive substances through interdisciplinary approaches, aiming to advance scientific understanding and contribute innovative solutions to global health challenges. His work integrates cutting-edge methodologies to investigate the pharmacological properties and safety profiles of novel compounds, fostering collaborations across international research networks for impactful scientific outcomes.

📖 Publication Top Noted

Article: Nanoparticles as antimicrobial and antiviral agents: A literature-based perspective study

  • Authors: Shabnam Sharmin, Md Mizanur Rahaman, Chandan Sarkar, Olubunmi Atolani, Mohammad Torequl Islam, Oluyomi Stephen Adeyemi
  • Journal: Heliyon
  • Year: 2021
  • Citation: 172

Article: Targeting cancer cells with nanotherapeutics and nanodiagnostics: Current status and future perspectives

  • Authors: Eunus S Ali, Shazid Md Sharker, Muhammad Torequl Islam, Ishaq N Khan, Subrata Shaw, Md Atiqur Rahman, Shaikh Jamal Uddin, Manik Chandra Shill, Shahnawaz Rehman, Niranjan Das, Saheem Ahmad, Jamil A Shilpi, Swati Tripathi, Siddhartha Kumar Mishra, Mohammad S Mubarak
  • Journal: Seminars in cancer biology
  • Year: 2021
  • Citation: 179

Article: Natural products and their derivatives against coronavirus: A review of the non-clinical and pre-clinical data

  • Authors: Mubarak MS Islam MT, Sarkar C, El-Kersh DM, Jamaddar S, Uddin SJ, Shilpi JA
  • Journal: Phytotherapy Research
  • Year: 2020
  • Citation: 262

Article: Anti-viral potential of garlic (Allium sativum) and it’s organosulfur compounds: A Systematic update of pre-clinical and clinical data

  • Authors: Sarker SD Rouf R, Sarker DK, Islam MT, Ali ES, Shilpi JA, Nahar L, Tiralongo E
  • Journal: Trends in Food Science and Technology
  • Year: 2020
  • Citation: 246

Article: Neuropharmacological effects of quercetin: a literature-based review

  • Authors: Md Shahazul Islam, Cristina Quispe, Rajib Hossain, Muhammad Torequl Islam, Ahmed Al-Harrasi, Ahmed Al-Rawahi, Miquel Martorell, Assem Mamurova, Ainur Seilkhan, Nazgul Altybaeva, Bagila Abdullayeva, Anca Oana Docea, Daniela Calina, Javad Sharifi-Rad
  • Journal: Frontiers in pharmacology
  • Year: 2021
  • Citation: 106