François Guillard | Data Science | Best Researcher Award

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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

Ben Harkin | Data Analysis Innovation | Best Researcher Award

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Dr. Ben Harkin | Data Analysis Innovation | Best Researcher Award

Doctorate at Manchester Metropolitan University, United Kingdom

👨‍🎓 Profiles

Orcid Profile
Scopus Profile

👨‍🔬 Summary

Dr. Ben Harkin is an esteemed cognitive psychologist known for his work in selective reviews, meta-analyses, negative cognitions and behaviors, and behavior change through validated interventions. He earned his PhD in 2012 with a dissertation titled “A Cognitive Examination of Compulsive Checkers’ Working Memory and Inhibitory Performance,” leading to 7 peer-reviewed publications. His recent meta-analysis research employs a novel multidimensional approach to data extraction and analysis, offering new insights into key cognitive aspects of psychological phenomena.

🏆 Awards and Projects

Dr. Harkin was honored with an ESRC Future Leaders Research Award in 2013, focusing on developing interventions for individuals avoiding debt. His project involved creating and applying interventions in a laboratory setting to enhance financial decision-making for loan seekers at a local credit union in Chesterfield. This multidisciplinary effort required collaboration with academics, research assistants, stakeholders, and those in debt. Additionally, Dr. Harkin received a BA Grant alongside the ESRC award, which involved supervising research assistants and post-doctoral researchers, working within diverse communities, and disseminating results to both lay and academic audiences.

🎓 Education

  • PhD in Psychology (2012): “A Cognitive Examination of Compulsive Checkers’ Working Memory and Inhibitory Performance,” University of Glasgow.
  • MSc in Research Methods of Psychological Science (Distinction) (2008): “How Checking Breeds Doubt: Reduced Performance in a Simple Working Memory Task,” Behaviour Research and Therapy.
  • MA in Psychology (First Class: Top Student) (2007): “Implicit Awareness of Ambiguity: A Role in the Development of Obsessive-Compulsive Disorder,” Behaviour Research and Therapy.
  • MA in Education (Distinction) (2022): “The Impact of Physical, Mental, Social and Emotional Dimensions of Digital Learning Spaces on Student’s Depth of Learning,” International Journal of Management and Applied Research.

📚 Key Publications

  • Harkin, B., & Yates, A. (2024). “From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach,” Journal of Clinical Medicine.
  • Harkin, B., Perrson, S., Yates, A., Ainara, J., & Kessler, K. (2023). “Top-Down and Bottom-Up Contributions to Memory Performance in OCD: A Multilevel Meta-Analysis with Clinical Implications,” Journal of Psychopathology and Clinical Science.
  • Harkin, B. (2017). “Improving Financial Management via Contemplation: Novel Interventions and Findings in Laboratory and Applied Settings,” Frontiers in Psychology.
  • Perrson, S., Yates, A., Kessler, K., & Harkin, B. (2021). “Modelling a Multi-Dimensional Model of Memory Performance in Obsessive-Compulsive Disorder: A Multi-Level Meta-Analytic Review,” Journal of Psychopathology and Clinical Science.
  • Harkin, B., Webb, T., Chang, B., Benn, Y., Sheeran, P., Connor, M., & Prestwich, J. (2016). “Does Monitoring Goal Progress Promote Goal Attainment? A Meta-Analysis of the Experimental Evidence,” Psychological Bulletin.
  • Harkin, B. & Kessler, K. (2011). “The role of Working Memory in Compulsive Checking and OCD: A Systematic Classification of 58 Experimental Findings,” Clinical Psychology Review.

💰 Key Grants

  • Primary Investigator: ESRC Future Leaders Award, examining insights from clinical OCD to understand debt avoidance and designing interventions.
  • Primary Investigator: British Academy grant, “How Scientific Theories Disappear Down the ‘YouTube Rabbit Hole,’” exploring why people believe anti-science messages and proposing interventions and policies.

📖 Publications

From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach
    • Author: Ben Harkin, Alan Yates
    • Journal: Journal of Clinical Medicine
    • Year: 2024
Contamination-Focussed Vignettes as an Analogue of Infectious Pandemics: An Experimental Validation using the State Disgust and Anxiety Responses in OCD
Top-down and Bottom-up Contributions to Memory Performance in OCD: A Multilevel Meta-Analysis with Clinical Implications
    • Author: Ben Harkin, Sofia Persson, Alan Yates, Ainara Jauregi, Klaus Kessler
    • Journal: Journal of Psychopathology and Clinical Science
    • Year: 2023
Student Experiences of Assessment and Feedback in the National Student Survey: An Analysis of Student Written Responses with Pedagogical Implications
    • Author: Ben Harkin, Aspasia Eleni Paltoglou, Khizra Tariq, Maggie Watkin, Shokaib Ashfaq, Alan Yates, Carly Jacobs
    • Journal: International Journal of Management and Applied Research
    • Year: 2022
The Impact of Physical, Mental, Social and Emotional Dimensions of Digital Learning Spaces on Student’s Depth of Learning: The Quantification of an Extended Lefebvrian Model
    • Author: Ben Harkin
    • Journal: International Journal of Management and Applied Research
    • Year: 2022

Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

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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

 

Jack Shu | Educational Data Analysis | Best Researcher Award

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Dr. Jack Shu | Educational Data Analysis | Best Researcher Award

Doctorate at Hong Kong Metropolitan University, Hong Kong

👨‍🎓 Profile

Orcid Profile

🎓 Education

  • Master of Fine Arts in Drama (Directing), Hong Kong Academy for Performing Arts, 2015
  • Postgraduate Diploma of Education (Liberal Studies), Hong Kong Baptist University, 2008
  • Doctor of Philosophy (Drama Education), Institute of Education, University of Warwick, 2007
  • Master of Arts in Drama Education and Cultural Studies, Institute of Education, University of Warwick, 1998
  • Master of Philosophy (Translation), Hong Kong Baptist University, 1996
  • Bachelor of Arts in English Language and Literature (Merit), Hong Kong Baptist University, 1991
  • Honours Diploma in English Language and Literature (minor in Translation), Hong Kong Baptist College, 1989

🏢 Work Experience

Jack has had a distinguished career in academia and drama education. Currently, he serves as an Associate Professor II at the School of Education and Languages, Hong Kong Metropolitan University, where he has been since July 2016. His role includes leading several undergraduate and master’s programs, such as the Bachelor of Language Studies with Honours [Applied Chinese Language Studies] and the Master of Education in Drama and Language Education. His responsibilities also extend to developing and coordinating various drama and language courses.

Before his current role, Jack worked as an Assistant Professor and Lecturer at Hong Kong Metropolitan University, and has held teaching and research positions at various institutions including QualiEd College and the Arts Education Section of the Curriculum Development Institute. His early career included roles in translation and editorial work with Oxford University Press and the Centre for Translation at HKBU.

🕒 Part-time Roles

Jack has contributed to the field of drama education through several part-time roles. He has lectured at the Hong Kong Academy for Gifted Education and the Master of Drama Education program offered by Griffith University and Hong Kong Art School. Additionally, he has served as a tutor and lecturer for Chung Ying Theatre and the B.A. in Humanities program at Hong Kong Baptist University.

🏅 Professional Qualification

Jack is a registered teacher with the Hong Kong Education Bureau, holding Registration No.: R214278, since 2009.

🏆 Awards

In recognition of his outstanding teaching, Jack received the President’s Award for Teaching Excellence from the Open University of Hong Kong for the academic year 2015-16.

📚 Publications and Professional Works

Jack’s scholarly contributions include numerous peer-reviewed journal articles, such as “An Autoethnography of Teaching Drama to Student Teachers in Hong Kong” (2024) and “Facets of Human Conditions—Some Artistic Records and Ethnotheatrical Interpretations of Ex-gambling Addicts” (2023). He is also recognized for his major performing arts productions, including directing and playwrighting works like “My Sister’s Keeper” (2024) and “The Ugly Ducklings’ Taiwan Experience” (2023). His research includes funded projects like “Stage for Positive Ageing: Oral History Theatre by Older People” (2024-2026) and the “Jockey Club ‘Fun with Classical Chinese’ Drama Education Research Project” (2023-2025).

📖 Edited Works

Jack co-edited the Journal of Drama and Theatre Education in Asia in 2011 and 2012, contributing significantly to the field’s literature.

🛠️ Consultancies and Other Services

Jack provides consultancy services and is an editorial board member for various journals. He also serves as a subject specialist for the Hong Kong Council for Accreditation of Academic and Vocational Qualifications and is the Vice-Chairperson of the Hong Kong Institute of Drama and Theatre Education. His additional roles include tutoring, speaking, and adjudicating for numerous educational and cultural institutions.

📖 Publications

An Autoethnography of Teaching Drama to Student Teachers in Hong Kong

    • Author: Jack Shu
    • Journal: Education Sciences
    • Year: 2024

The art of growing old: oral history theatre plays a part

    • Author: Jack Shu
    • Journal: RIDE-The Journal of Applied Theatre and Performance
    • Year: 2022

Ethnodrama with Hong Kong problem gamblers and their family: between ethnographic reality and dramatic fiction

    • Author: Jack Shu
    • Journal: RIDE-The Journal of Applied Theatre and Performance
    • Year: 2020

Forum theatre by ex-gambling addicts – the Chinese family

    • Author: Jack Shu
    • Journal: NJ-Drama Australia Journal
    • Year: 2018

Theatre of the Oppressed on love, sex and gender: Hong Kong students’ reflections

    • Author: Jack Shu
    • Journal: Applied Theatre Research
    • Year: 2016

Return of the ghost – to discipline or/and to teach?

    • Author: Jack Shu
    • Journal: Asia Pacific Journal of Education
    • Year: 2010

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

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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

Zhongzhong Hu, Data Analysis, Best Researcher Award 

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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

Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

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Dr. Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

Dr. Hanna Wilczura-Wachnik at University of Warsaw, Poland

 Profiles

 Orcid Profile
 Scopus Profile
👩‍🔬 Academic Background

Hanna Wilczura-Wachnik is an adiunkt at the University of Warsaw, specializing in the study of colloids, microemulsions, and the interactions of biologically active molecules with membranes. Her research combines both theoretical and experimental approaches to advance our understanding of these complex systems.

🎓 Education

Hanna earned her MSc in 1977 from the University of Warsaw. She pursued her PhD at the same institution, which she completed in 1992. Her doctoral thesis, supervised by Prof. Teresa Kasprzycka-Guttman, was titled “The Enthalpy of Mixing in Associated Binary Systems of Pyridine and its Methyl Derivatives + n-Alkanes.”

💼 Professional Experience

Her postdoctoral research took place at the University of Tennessee under the guidance of Prof. Alexander Van Hook, focusing on liquid-liquid equilibrium (LLE) in polymer solutions. Hanna has also participated in short-term internships at various institutions, including the Technical University of Denmark, Syleyman Demirel University in Turkey, and Syddansk Universitet in Denmark. Since 2010, her research has centered on colloids, microemulsions, micellar phases, and the behavior of biologically active molecules in and through membranes.

🔬 Research Interests

Hanna’s research interests include the study of colloids, microemulsions, and micellar phases. She is particularly focused on the interfacial migration of biologically active molecules, such as antioxidants, and their interactions with models of natural membranes.

📜 Patents

Hanna is a co-inventor of Polish Patent No. 279254, issued in 1989, for a method of citric acid evolution from aqueous solutions. This patent was developed in collaboration with T. Kasprzycka-Guttman, B. Semeniuk, and M. Myśliński.

 

📖 Publication Top Noted

Interactions between quercetin and surfactants/solvents
    • Authors: Güzeloğlu, A., Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: Results in Chemistry
    • Year: 2024
α-Tocopherol/AOT/alkane/water system: Calorimetric studies
    • Authors: Karpiuk, I., Wilczura-Wachnik, H., Myśliński, A.
    • Journal: Journal of Thermal Analysis and Calorimetry
    • Year: 2018
Size and diffusion phenomena of AOT/alcohol/water system in the presence of morin by dynamic light scattering
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2015
Interaction between morin and AOT reversed micelles – Studies with UV-vis at 25°C
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2014
Effects of surfactants on the characteristics and biosensing properties of polyaniline
    • Authors: Kuczynska, A., Uygun, A., Kaim, A., Yavuz, A.G., Aldissi, M.
    • Journal: Polymer International
    • Year: 2010
UV-vis investigation on the hydrocarbon length effect on the α-tocopherol solubility in an AOT/n-alkane/water system
    • Authors: Wilczura-Wachnik, H., Gregorczyk, I., Myslinski, A.
    • Journal: Journal of Solution Chemistry
    • Year: 2010

Konstantinos Kolomvatsos | Pervasive Data Science | Best Researcher Award

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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

Dr. Marta Campi | Statistical Methods | Best Researcher Award

Posted on by ScienceFather

Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

Professional Profile:

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Summary:

Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur with expertise in Statistical Signal Processing and Machine Learning. She specializes in developing computational optimal speech enhancement techniques for real-time application in hearing aids, particularly tailored for individuals with auditory neuropathies. Her research integrates personalized cues into model calibration for improved efficacy. With a background in financial computing and econometrics, Marta brings a diverse skill set to her research endeavors.

Education:

  • PhD in Statistical Science and Signal Processing, University College London, UK
  • MPhil in Statistics, University College London, UK
  • MRes in Financial Computing, University College London, UK
  • MSc in Financial Econometrics, University of Essex, UK
  • BSc in Mathematical Statistics and Data Management, Universita degli studi di Genova, Italy

Professional Experience:

Dr. Marta Campi has amassed a diverse and extensive professional background, spanning various research, academic, and industry roles across multiple countries. As a Postdoctoral Researcher at Institut Pasteur in Paris, France, she focuses on advancing signal processing techniques for auditory applications, particularly in the development of computational optimal speech enhancement methods for hearing aids. Marta’s expertise extends to her role as a Research Engineer at Telecom Paris, where she contributed to implementing machine learning geolocation methods for wireless device networks.

Her dedication to education is evident through her tenure as a Teaching Assistant at University College London, where she tutored courses in probability, statistics, and programming methods. Marta has also lent her expertise as a Research Assistant at Heriot-Watt University in Edinburgh, Scotland, and City University of London, enriching projects in green finance and copula functions within insurance applications, respectively.

She broadened her research horizons through international collaborations, serving as a Visiting Research Fellow at the Institute of Statistical Mathematics in Tokyo, Japan, and a Visiting Research Student at Universite Clermont Auvergne in Clermont-Ferrand, France. Marta’s industry experience includes roles as a Senior Analyst at Fortlake Asset Management in Sydney, Australia, and as a Consultant at InRobin in Edinburgh, UK, where she contributed to predictive modeling and asset maintenance monitoring.

Her earlier experience as a Junior Analyst at COSTA CROCIERE S.P.A in Genova, Italy, further enriched her analytical skills and understanding of demand forecasting and price optimization. Throughout her career, Marta has demonstrated a commitment to interdisciplinary research and innovation, bridging the gap between academia and industry to address complex challenges in statistical signal processing and machine learning.

Research Interest :

Dr. Campi’s research interests span statistical signal processing, machine learning, and auditory neuroscience, with a focus on developing innovative solutions for speech enhancement in hearing aids. She is particularly interested in leveraging personalized cues and novel signal processing techniques to address auditory neuropathies and improve the quality of life for individuals with hearing impairments. Marta’s interdisciplinary approach combines her expertise in statistical science with real-world applications, aiming to bridge the gap between cutting-edge research and clinical practice in audiology.

Publication Top Noted: