Emmanuel Pintelas | Few-shot learning | Best Researcher Award

Dr. Emmanuel Pintelas | Few-shot learning | Best Researcher Award

Doctorate at Department of Electrical and Computer Engineering, University of Peloponnese, Greece

👨‍🎓 Profiles

👤Academic Background

Emmanuel Pintelas is a Postdoctoral Researcher in the Department of Electrical and Computer Engineering at the University of Peloponnese. He excels in computer vision, deep learning, and video analytics. His notable achievements include high placements in international competitions and numerous publications in esteemed journals.

🎓 Education

  • Ph.D. in Mathematics and Computer Science (Feb 2020 – Aug 2023)
    University of Peloponnese, Greece
    Dissertation: “Interpretable Machine Learning Frameworks for Image Classification”
  • M.Sc. in Technologies and Services of Intelligent Information Systems and Communications (Sep 2020 – Apr 2022)
    University of Peloponnese, Greece
    Dissertation: “Deep Neural Networks for Bitcoin Price Prediction”
  • B.Sc. in Electrical & Computer Engineering (Sep 2008 – Feb 2018)
    University of Patras, Greece
    Focus: Automatic electrical-virtual-machines for grid supply stability and control.

💼 Professional Experience

  • Postdoctoral Researcher (Sep 2023 – Present)
    University of Peloponnese
    Specializes in computer vision, deep learning, and video analytics. Involved in research paper writing, course instruction, and distributed programming.
  • Internship Scholarship (Jun 2022 – Aug 2022)
    Archimedes Unit
    Collaborated on AI challenges, proposed solutions in computer vision, and engaged with leading researchers.
  • Technical Manager and Shareholder (2012 – 2016)
    Φωτοβολταικα Αγιου Βασιλείου ΙΚΕ
    Managed operation and maintenance of solar parks.
  • Shareholder and Manager (2016 – Present)
    Φωτοβολταικα Αγίου Βασιλείου ΙΚΕ
    Oversees remote management and optimization of solar park production.

🔬 Research Interests

Emmanuel’s research focuses on computer vision, deep learning, and time-series analysis, with applications in medical imaging, object detection, deepfake detection, and few-shot learning. He is particularly interested in developing interpretable machine learning frameworks and innovative deep learning architectures.

🏆 Accomplishments

  • NeurIPS 2022 Competitions: Achieved 2nd place in the Cross-Domain MetaDL challenge.
  • Kaggle Competitions: Awarded a Bronze Medal in the RANZCR CLiP medical imaging challenge.

📖 Publications

Adaptive Augmentation Framework for Domain Independent Few Shot Learning
    • Authors: Pintelas, E., Livieris, I.E., Pintelas, P.
    • Year: 2024
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
    • Authors: Livieris, I.E., Pintelas, E., Kiriakidou, N., Pintelas, P.
    • Year: 2023
XSC—An eXplainable Image Segmentation and Classification Framework: A Case Study on Skin Cancer
    • Authors: Pintelas, E., Livieris, I.E.
    • Year: 2023
A Multi-View-CNN Framework for Deep Representation Learning in Image Classification
    • Authors: Pintelas, E., Livieris, I.E., Kotsiantis, S., Pintelas, P.
    • Year: 2023
Explainable Feature Extraction and Prediction Framework for 3D Image Recognition Applied to Pneumonia Detection
    • Authors: Pintelas, E., Livieris, I.E., Pintelas, P.
    • Year: 2023
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and Lessons Learned
    • Authors: Carrión-Ojeda, D., Alam, M., Escalera, S., … Wu, J., Yin, X.
    • Year: 2023

Zhen Yang | Data Visualization | Best Researcher Award

Dr. Zhen Yang | Data Visualization | Best Researcher Award

Doctorate at Arthritis Clinical and Research Center, China

👨‍🎓 Profile

🔬Academic Background

Zhen Yang is a dedicated doctoral candidate at the Arthritis Clinical and Research Center of Peking University People’s Hospital. His work focuses on understanding and treating osteoarthritis through advanced tissue engineering and regenerative medicine.

🎓 Education

  • Doctoral Candidate, Arthritis Clinical and Research Center, Peking University People’s Hospital

💼 Professional Experience

Zhen Yang has spent three years in graduate-level coursework and research, focusing on cartilage and meniscus tissue engineering. He has been involved in developing osteochondral organs for tissue regeneration, creating a 3D dynamic culture system to enhance extracellular vesicle production, and investigating articular cartilage lubrication. His efforts have led to contributions in creating a super-lubricating hydrogel.

🔍 Research Interests

  • Cartilage and meniscus tissue engineering
  • Regenerative medicine for osteoarthritis
  • Osteochondral organ development
  • 3D dynamic culture systems for extracellular vesicle production
  • Articular cartilage lubrication and super-lubricating hydrogels

📖 Publications

Advances in Shear Stress Stimulation of Stem Cells: A Review of the Last Three Decades
    • Authors: Qiyuan Lin, Zhen Yang, Hao Xu, Yudi Niu, Qingchen Meng, Dan Xing
    • Year: 2024
    • Journal: Biomedicines
In situ self-assembled organoid for osteochondral tissue regeneration with dual functional units
    • Authors: Zhen Yang, Bin Wang, Wei Liu, Xiaoke Li, Kaini Liang, Zejun Fan, Jiao Jiao Li, Yudi Niu, Zihao He, Hui Li et al.
    • Year: 2023
    • Journal: Bioactive Materials
Integrated bioactive scaffold with aptamer‐targeted stem cell recruitment and growth factor‐induced pro‐differentiation effects for anisotropic meniscal regeneration
    • Authors: Hao Li, Tianyuan Zhao, Fuyang Cao, Haoyuan Deng, Songlin He, Jianwei Li, Shuyun Liu, Zhen Yang, Zhiguo Yuan, Quanyi Guo
    • Year: 2022
    • Journal: Bioengineering & Translational Medicine
Microenvironmentally optimized 3D-printed TGFβ-functionalized scaffolds facilitate endogenous cartilage regeneration in sheep
    • Authors: Zhen Yang, Fuyang Cao, Hao Li, Songlin He, Tianyuan Zhao, Haoyuan Deng, Jianwei Li, Zhiqiang Sun, Chunxiang Hao, Jianzhong Xu et al.
    • Year: 2022
    • Journal: Acta Biomaterialia
Nerve growth factor (NGF) and NGF receptors in mesenchymal stem/stromal cells: Impact on potential therapies
    • Authors: Kangkang Zha, Yu Yang, Guangzhao Tian, Zhiqiang Sun, Zhen Yang, Xu Li, Xiang Sui, Shuyun Liu, Jinmin Zhao, Quanyi Guo
    • Year: 2021
    • Journal: STEM CELLS Translational Medicine
Endogenous cell recruitment strategy for articular cartilage regeneration
    • Authors: Zhen Yang, Hao Li, Zhiguo Yuan, Liwei Fu, Shuangpeng Jiang, Cangjian Gao, Fuxin Wang, Kangkang Zha, Guangzhao Tian, Zhiqiang Sun et al.
    • Year: 2020
    • Journal: Acta Biomaterialia

Fares Hezam Al-Ostoot | Data Visualization | Best Scholar Award

Dr. Fares Hezam Al-Ostoot | Data Visualization | Best Scholar Award

Doctorate at Palermo University, Yemen

👨‍🎓 Profiles

ORCID
Scopus
ResarchGate
Google Scholar
Kudos
SemanticScholar
Web of Science

🔬 Summary

Accomplished biochemist with a robust background in chemistry and biochemistry, including substantial experience in teaching, research, and academic service. Proven track record in research with over 50 publications and significant citation impact. Experienced in both academic and practical aspects of chemistry and biochemistry, with a commitment to advancing scientific knowledge and education.

🎓 Education

  • Ph.D. in Biochemistry, University of Mysore, India (2022)
    Thesis: Synthesis and Characterization of New Phenoxy Acetamide Analogs as Anti-Cancer Agents
  • Master of Science in Biochemistry, SRTM University, India (2015)
    First Class with Distinction, Overall Average: 81.83/100
  • Bachelor of Science in Chemistry, Thamar University, Yemen (2007)
    First Class with Distinction, Overall Average: 88.48/100
  • Diploma of UN Studies, Indian Federation of United Nations Associations (IFUNA), India (2015)
    First Division, Overall Average: 75%

💼 Professional Experience

  • Assistant Professor (Lecturer), Al-Baydha University, Yemen (2008–2012)
    Specialization in chemistry and laboratory management. Volunteered as a secondary school chemistry teacher and worked as a mobile technician for Yemen Telecom.
  • Chemistry Laboratory Specialist
    Managed and taught practical and theoretical aspects of chemistry.

🔍 Research Interests

  • Anti-Cancer Agents: Development of new phenoxy acetamide analogs for cancer treatment.
  • Biochemistry and Molecular Docking: Synthesis and analysis of anti-inflammatory drugs and their therapeutic potentials.
  • Chemical Synthesis and Characterization: Design-based synthesis of chemical compounds and their biological applications.

🏆 Achievements & Awards

Dr. Al-Ostoot has received numerous accolades, including a Rector Certificate for being the Top Student at Thamar University, certificates of excellence from Yemen’s President, and recognition from SRTM University. His scholarly contributions have been acknowledged with Elsevier Publication Recognition Certificates and awards for his role as a conference moderator and journal reviewer.

📚 Research Contributions & Publications

Dr. Al-Ostoot has made significant contributions to biochemistry, particularly in cancer research. With 50 publications to his name, he has authored 11 first-author papers and garnered 397 citations. Notable papers include studies on anti-cancer agents and anti-inflammatory drugs, published in high-impact journals like Pharmacological Reports and Journal of Molecular Structure.

📖 Publications

Structural and theoretical exploration of a multi-methoxy chalcone: Synthesis, quantum theory, electrostatics, molecular packing, DFT analysis, and in-silico anti-cancer evaluation
    • Authors: Fares Hezam Al-Ostoot, P. Akhileshwari, Vivek Hamse Kameshwar, D.V. Geetha, Majed S. Aljohani, Hussam Y. Alharbi, Shaukath Ara Khanum, M.A. Sridhar
    • Journal: Heliyon
    • Year: 2024
Synthesis, crystal structure, DFT, Hirshfeld surface analysis, energy frameworks and in-Silico drug-targeting PFKFB3 kinase of novel triazolequinoxalin derivative (TZQ) as a therapeutic Strategy against cancer
    • Authors: Nadeem Abad, Fares Hezam Al-Ostoot, Sajda Ashraf, Karim Chkirate, Majed S. Aljohani, Hussam Y. Alharbi, Shafeek Buhlak, Mohamed El Hafi, Luc Van Meervelt, Basheer M. Al-Maswari et al.
    • Journal: Heliyon
    • Year: 2023
Morphology effect on photocatalytic activity of self-doped ZnO nanoflowers
    • Authors: Salma Kouser, Abdo Hezam, K. Namratha, K. Byrappa, Shaukath Ara Khanum
    • Journal: Journal of the Iranian Chemical Society
    • Year: 2023
Exploring DSSC Efficiency Enhancement: SQI-F and SQI-Cl Dyes with Iodolyte Electrolytes and CDCA Optimization
    • Authors: Sultan A. Al-horaibi, Abdel-Basit Al-Odayni, Mohammed ALSaeedy, Fares Hezam Al-Ostoot, Adel Al-Salihy, Abdulmajeed Alezzy, Arwa Al-Adhreai, Faizaa A. Saif, Salama A. Yaseen, Waseem Sharaf Saeed
    • Journal: Molecules
    • Year: 2023
Metal oxide nanofillers induced changes in material properties and related applications of polymer composites
    • Authors: Murad Qassim Abdulraqeb Al-Gunaid, Gayitri Hebbur Maheshwarappa, Shashikala Badaga Shivanna, Mohammed Ali Hussein Dhaif-Allah, Waled Abdo Ahmed, Fares Hezam Al-Ostoot
    • Journal: European Journal of Chemistry
    • Year: 2023

Ben Harkin | Data Analysis Innovation | Best Researcher Award

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

Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

Mr. Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

Mr. Duc Cong Nguyen at Silesian University of Technology, Poland

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Google Scholar Profile
Research Gate Profile

🧑‍🎓 Duc Cong Nguyen: PhD Student and Structural Health Monitoring Specialist

📚 Education

  • PhD Student (2020 – 2024)
    Silesian University of Technology, Faculty of Civil Engineering, Gliwice, Poland
    (Supported by NAWA Polish government and Vietnamese government)

🔬 Professional Experience

  • PhD Research: Developing and applying vibration-based structural health monitoring (SHM) techniques for railway steel arch bridges using advanced AI models and signal processing methods.
  • Consultancy: Contributing to SHM projects for the Dębica railway steel arch bridge in Poland.
  • Previous Experience: Over a decade of expertise in bridge structural testing and pile testing in Vietnam.

🔍 Research Interests

  • AI and Machine Learning 🤖
  • Structural Health Monitoring (SHM) 🏗️
  • Bridges and Railway Bridges 🚉
  • Vibration Measurement and Diagnostic Load Testing 📏

💡 Key Contributions

  • Innovated advanced signal processing techniques for SHM, including wavelet transforms and FFT algorithms.
  • Developed GoogLeNet CNN models for classification and pattern recognition of bridge vibration signals.
  • Conducted analyses of historical dynamic responses using FFT techniques to estimate tension forces in bridge components.

📖 Publications

Structural Health Monitoring for Dębica Railway Steel Arch Bridge in Poland
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa
    • Journal: Civil and Environmental Engineering Reports
    • Year: 2024
Vibration-based SHM of Railway Steel Arch Bridge with Orbit-Shaped Image and Wavelet-Integrated CNN Classification
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Michael Gerges
    • Journal: Engineering Structures
    • Year: 2024
Vibration-based SHM of Dębica Railway Steel Bridge with Optimized ANN and ANFIS
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Piotr Przystałka, Mateusz Hypki
    • Journal: Journal of Constructional Steel Research
    • Year: 2024
Finite Element Model Updating of Steel Bridge Structure Using Vibration-Based Structural Health Monitoring System: A Case Study of Railway Steel Arch Bridge in Poland
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa
    • Journal: Experimental Vibration Analysis for Civil Engineering Structures: EVACES. Lecture Notes in Civil Engineering (433)
    • Year: 2023

Wai Ching Poon | Business resilience | Best Researcher Award

Prof. Wai Ching Poon | Business resilience | Best Researcher Award

Professor at Taylor’s University, Malaysia

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Google Scholar Profile
Research Gate Profile

🌟Academic Background

Dr. Poon Wai Ching is a Senior Associate Professor of Economics at Universiti Teknologi PETRONAS (UTP). With a distinguished career in academia, she has contributed significantly to business and financial economics, focusing on the circular economy and sustainable development. Recognized as one of the top 5% of economists in Malaysia by RePEc, Dr. Poon has secured nearly MYR 6 million in research grants and serves on prestigious editorial boards. Her leadership roles span overseeing research programs and academic quality initiatives at both UTP and Monash University Malaysia.

🎓 Education

Dr. Poon earned her Ph.D. in Financial Economics from Universiti Putra Malaysia in 2007. She holds a Master’s degree in Industrial Economics from Universiti Malaya (2001) and a Bachelor’s degree in Economics Education from University Science Malaysia (1999). She also completed a Graduate Certificate in Higher Education at Monash University, Australia, in 2014, and holds a Diploma in Accounting from the London Chamber of Commerce and Industry (1996).

💼 Professional Experience

Dr. Poon’s academic career includes roles as Senior Associate Professor at UTP (Dec 2021 – Present) and Associate Professor at Monash University Malaysia (Jan 2017 – Nov 2021). She has also served as Senior Lecturer and Lecturer at Monash University Malaysia and Multimedia University. Her leadership includes directing graduate research programs, enhancing academic quality, and leading initiatives at both UTP and Monash University.

🔍 Research Interests

Dr. Poon’s research focuses on Business Economics, Financial Economics, and Sustainable Development. She specializes in the Circular Economy, exploring ways to integrate sustainability into economic practices. Additionally, her interests include Tourism Economics and Higher Education, with a commitment to advancing teaching methods and research in these fields.

📖 Publications

Breaking Boundaries: Innovations in Two- and Three-Dimensional Metal-Organic Framework (MOF)-Based Mixed-Matrix Membranes for Effective Post-Combustion CO₂ Capture

    • Authors: Chong Yang Chuah; Wai Ching Poon
    • Journal: Journal of Chemical Engineering of Japan
    • Year: 2024

E-Learning Engagement and Effectiveness during the COVID-19 Pandemic: The Interaction Model

    • Authors: Wai Ching Poon; Vimala Kunchamboo; Kian Yeik Koay
    • Journal: International Journal of Human–Computer Interaction
    • Year: 2024

American and Chinese Ethics and Their Influence on Multinational Business

    • Author: Edmund Li Sheng
    • Book Chapter: Yes
    • Year: 2023

China’s Circular Economy Toward Environmental, Social, and Governance

    • Authors: Wai Ching Poon; Chean Shen Lim
    • Book Chapter: Yes
    • Year: 2023

Investigating the Challenges of Blended MOOCs for English Language Learning: A Pilot Study

    • Authors: Anh Tuan Pham; Muhammad Ridhuan Tony Lim Abdullah; Poon Wai Ching
    • Conference Paper: Yes
    • Year: 2023

How and when social media influencers’ intimate self-disclosure fosters purchase intentions: the roles of congruency and parasocial relationships

    • Authors: Kian Yeik Koay; Weng Marc Lim; Simran Kaur; Kimberly Soh; Wai Ching Poon
    • Journal: Marketing Intelligence & Planning
    • Year: 2023

Yew Hoe Wong | Ethics in Data Analysis | Young Scientist Award

Mr. Yew Hoe Wong | Ethics in Data Analysis | Young Scientist Award

Mr. Yew Hoe Wong at Imperial College London, Singapore

👨‍🎓 Profile

Orcid Profile

🌟Academic Background

I am a passionate PhD candidate specializing in modeling and simulation within nuclear power plants. My journey in engineering began with a Bachelor’s degree in Mechanical Engineering with Aerospace specialization, where I developed a profound appreciation for the application of scientific principles in innovative design. My interests span from advanced engineering applications to tennis and astronomy, reflecting a broad curiosity and commitment to continuous learning and exploration.

🎓 Education

  • Doctor of Philosophy (Ph.D.) in Mechanical Engineering
    Imperial College London, London, UK (Expected October 2025)
  • Bachelor of Engineering (B. Eng.) in Mechanical Engineering (Aeronautics)
    National University of Singapore, Singapore (June 2020)
  • Student Exchange Program in Mechanical Engineering
    University College London, London, UK (August 2021)

💼 Professional Experience

  • PhD Candidate
    Imperial College London, London, UK (October 2021 – Present)
    Leading research on nuclear power plant simulation and modeling.
  • Teaching Assistant
    Imperial College London, London, UK (October 2021 – December 2021; March 2023 – April 2023)
    Assisted with lesson planning, student support, and feedback.
  • Research Assistant
    National University of Singapore, Singapore (January 2020 – June 2020)
    Conducted research, designed protocols, and summarized findings.
  • Mechanical Engineering Intern
    Daikin Air Conditioning Pte Ltd, Singapore (August 2019 – December 2019)
    Supported product maintenance and development processes.
  • Teaching Assistant
    National University of Singapore, Singapore (September 2018 – May 2019)
    Engaged in instructional support and student mentorship.
  • A Level H2 Math Intern
    Serangoon Junior College, Singapore (January 2017 – June 2017)
    Assisted with research on mathematical topics and presentations.
  • Commando Signal Support Specialist
    Singapore Armed Forces, Singapore (February 2015 – December 2016)
    Led signal support teams and provided critical training.

🔬 Research Interests

My primary research interest lies in the modeling and simulation of nuclear power plants, focusing on enhancing safety and efficiency through advanced computational techniques. I aim to leverage my expertise in scientific programming, computational fluid dynamics, and machine learning to drive innovation in the energy sector.

📖 Publications

  • Authors: Y.H. Wong, L. Lampunio, Y. Duan, M.D. Eaton, M.J. Bluck
  • Journal: Nuclear Engineering and Design
  • year: 2024

S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Dr. S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Doctorate at University Of Leeds, United Kingdom

👨‍🎓 Profile

Scopus Profile

👨‍🔬 Academic Background

Dr. S. Joseph Antony is an Associate Professor at the School of Chemical and Process Engineering, University of Leeds. His research expertise lies in granular mechanics, particle technology, and stress sensing across diverse applications. With a focus on interdisciplinary projects, Dr. Antony investigates the reuse of conventional wastes in concrete, bio-stress measurements, and the impacts of pandemics on engineering and economies. He has been honored with the MIT Young Researcher Fellowship Award and actively contributes to his field through extensive publications and editorial roles.

🎓 Education

  • B.E. in Civil Engineering, University of Madras, 1987
  • MSc (Eng.) in Engineering, Indian Institute of Science (IISc), Bangalore, 1991
  • PhD in Engineering, IISc, Bangalore, 1996

🏢 Professional Experience

  • Associate Professor, School of Chemical and Process Engineering, University of Leeds (Jan 2013 – present)
  • Senior Lecturer, Institute of Particle Science and Engineering, University of Leeds (Aug 2006 – Dec 2012)
  • Lecturer, Department of Chemical Engineering, University of Leeds (Mar 2001 – Jul 2006)
  • Research Fellow, Department of Chemical Engineering, University of Surrey (Jun 1999 – Feb 2001)
  • Research Fellow, Department of Civil Engineering, Aston University (Nov 1996 – May 1999)

🔬 Research Interests

Dr. Antony’s research focuses on the fundamental and applied aspects of granular mechanics and particle technology. His work includes the development of multi-scale modeling techniques using Discrete Element Method (DEM), Finite Element Method (FEM), and Molecular Dynamics (MD) simulations. He is also involved in cutting-edge experimental methods such as photo-stress sensing and strength measurements of materials. His interdisciplinary research explores the reuse of conventional wastes in concrete, investigates bio-stress measurement techniques, and examines the impacts of pandemics on engineering industries and national economies. Dr. Antony’s work aims to bridge the gap between particle-scale properties and macroscopic behavior, contributing to both industrial applications and theoretical advancements.

💼 Research Grants

Dr. Antony has secured funding for various projects, including:

  • Developing products by reutilizing plastic wastes (£130K)
  • Predictive tools for understanding COVID-19 impacts (£100K)
  • Engineering composites using municipal waste materials (£100K)
  • Optimal dispatch of virtual power plants (£80K)
  • Advanced photo-stress analysis of composite beams ($1.05M)

🔧 Administrative Duties

  • Industrial Placement Year Leader and Manager, School of Chemical and Process Engineering (2018 – present)
  • Former Faculty Equality and Diversity Officer, leading the successful Athena Swan Bronze Award application.

📖 Publications

Untreated municipal solid waste incineration ashes for cement replacement
    • Authors: Tokgoz, D.D.G., Ozerkan, N.G., Antony, S.J.
    • Journal: Journal of Engineering Research (Kuwait)
    • Year: 2023
Experimental DEM Hybrid Approach for Prediction of Landslide in Ughelli Sandstone
    • Authors: Olugbenga, A.G., Antony, S.J., Nasir, A., Garba, M.U., Yahya, M.D.
    • Conference Paper: Lecture Notes in Electrical Engineering
    • Year: 2023
Analysis of Bidding Strategies in Virtual Power Plant
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Joseph Antony, S., Ocheme, S.E.
    • Book Chapter: Green Energy and Technology
    • Year: 2023
Modeling the Outflow of Particulate Solids from a Container Taking into Account the Effect of Adhesion to the Wall
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Fluid Dynamics
    • Year: 2022
Design of IoT Based Load Management for Off-Grid Renewable Energy Sources
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Antony, S.J.
    • Conference Paper: AIP Conference Proceedings
    • Year: 2022
Development of Mathematical Models Taking into Account the Effect of Isolating Individuals in a Population
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Mathematical Models and Computer Simulations
    • Year: 2022

Chidiebere Peter Echieh | Secondary Data Analysis | Best Researcher Award

Dr. Chidiebere Peter Echieh | Secondary Data Analysis | Best Researcher Award

Doctorate at University of Calabar Teaching Hospital, Nigeria

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Scopus Profile

📜 Academic Background

Dr. Chidiebere Peter Echieh is a highly skilled Cardiothoracic and Vascular Surgeon with extensive experience in cardiac, thoracic, and vascular surgery. With training from Nigeria and the Middle East and prestigious fellowships such as the AATS/James Cox fellowship, he is currently enhancing his expertise through a PhD in Clinical Translational Science at the University of Arizona. His dual role as a Postdoctoral Research Fellow and Data Science Fellow reflects his commitment to advancing both clinical practice and research.

🎓 Education

  • Ph.D. in Clinical Translational Science (in progress), University of Arizona, expected 2024
  • Fellowship in Cardiothoracic Surgery (intFRCS CTh), Royal College of Surgeons (England), 2024
  • Intercollegiate Membership (MRCS), Royal College of Surgeons (Edinburgh), 2023
  • Fellow, West African College of Surgeons (FWACS-CTh), West African College of Surgeons, 2018
  • Bachelor of Medicine; Bachelor of Surgery (MBBCh), University of Calabar, Nigeria, 2007

💼 Professional Experience

Dr. Echieh’s career spans multiple roles:

  • Postdoctoral Research Fellow (hybrid) at the Division of Cardiothoracic Surgery, University of Arizona (2023-present)
  • Data Science Fellow (hybrid) at the Data Science Institute, University of Arizona (2022-2023)
  • Adjunct Lecturer at Prince Sattam Bin Abdul Aziz University, Saudi Arabia (2022-2023)
  • Specialist Cardiothoracic Surgeon at King Khalid Hospital, Saudi Arabia (2021-present)
  • Consultant Cardiothoracic Surgeon at the University of Calabar, Nigeria (2018-2021)
  • Resident in Training at University of Calabar Teaching Hospital, Nigeria (2009-2018)
  • Medical Officer with the Ministry of Health, Kebbi State, Nigeria (2008-2009)
  • House Officer at University of Uyo Teaching Hospital, Nigeria (2007-2008)

🔬 Research Interests

Dr. Echieh’s research is focused on enhancing cardiothoracic surgery practices and translating scientific advancements into clinical applications. His interests include the evaluation of mechanical circulatory support in heart transplantation, assessing preemptive Impella 5.5 insertion, and managing vascular trauma. Additionally, he is dedicated to improving access to lung cancer treatment in Africa and integrating m-health solutions into cardiothoracic care.

📖 Publications

Surgery for Chronic Postinfarct Ventricular Pseudoaneurysm Using 3-Dimensional Printing

    • Author: Kevin Wang; Abel Cherian; Alex Ryan; Yash Rohilla; Chidiebere Peter Echieh; Michael D. Seckeler; Toshinobu Kazui
    • Journal: Annals of Thoracic Surgery Short Reports
    • Year: 2024

Research Priorities for Interventions to Address Health Disparities in Lung Nodule Management: An Official American Thoracic Society Research Statement

    • Author: Katrina Steiling; Hasmeena Kathuria; Chidiebere Peter Echieh; David E. Ost; M. Patricia Rivera; Abbie Begnaud; Juan C. Celedón; Marjory Charlot; Frank Dietrick; Narjust Duma et al.
    • Journal: American Journal of Respiratory and Critical Care Medicine
    • Year: 2023

Diagnostic role of video-assisted thoracoscopy in the management of indeterminate pleural effusion

    • Author: Eze NJ; Nwagboso CI; Ogbudu SO; Chidiebere E; Bassey OO; Etiuma AU
    • Journal: Nigerian Journal of Clinical Practice
    • Year: 2022

Predictors of outcome of chest tube drainage of nonpurulent exudative pleural effusions

    • Author: Chimaobi Ikechukwu Nwagboso; Chidiebere Peter Echieh; John Nkemakolam Eze; Stephen Omirigbe Ogbudu; Chibueze Haggai Njoku; Anietimfon Umoh Etiuma; Okokon Odonkwo Bassey
    • Journal: ERJ Open Research
    • Year: 2022

A comparative assessment of dry eye disease among outdoor street sweepers and indoor office cleaners

    • Author: Chigozie I. Echieh; Bassey A. Etim; Chidiebere Peter Echieh; Taiwo Oyeniyi; Jeff Ajewole
    • Journal: BMC Ophthalmology
    • Year: 2021

Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

Dr. Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

Doctorate at Institute of Actuarial and financial sciences (ISFA), University Claude Bernard Lyon 1, France

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

👩‍🎓 Academic Backcround

Dr. Amal Ben Hamida is a Ph.D. student in Finance at the University Claude Bernard Lyon 1 and the University of Sousse. She focuses on statistical learning algorithms for portfolio optimization. Dr. Ben Hamida holds a Bachelor’s and a Master’s degree in Finance and Actuarial Sciences from the Institute of High Commercial Studies of Sousse. She has published two papers in prestigious journals and has taught at École Centrale de Lyon and IAE Lyon. Currently, she is an ATER at the University of Paris-Est Créteil.

🎓 Education

  • Bachelor’s Degree in Finance: Institute of High Commercial Studies of Sousse
  • Master’s Degree in Finance and Actuarial Sciences: Institute of High Commercial Studies of Sousse
  • Ph.D. in Finance: University Claude Bernard Lyon 1 and University of Sousse

💼 Professional Experience

  • Current Position: ATER at the University of Paris-Est Créteil
  • Past Teaching Positions: École Centrale de Lyon, IAE Lyon
  • Previous ATER Position: University of Jean Monnet

🔍 Research Interests

Dr. Amal Ben Hamida’s research interests are centered around several key areas in finance and statistical analysis. She is deeply involved in Financial Markets 📈 and Time Series Analysis 📊, focusing on understanding and predicting market behaviors. Her expertise extends to Statistical Analysis 🔢 and Portfolio Management and Optimization 💼, where she applies advanced algorithms to enhance financial decision-making. Additionally, Dr. Ben Hamida explores Econometrics 📉 and Applied Mathematics ➗ to develop robust models for financial forecasting. Her work also encompasses Financial Economics 💵 and Statistical Distributions 📚, integrating Artificial Neural Networks 🤖 and Mathematical Statistics 📏 for innovative analytical approaches. Her dedication to Applied Statistics and Computational Statistics 🔬 underscores her commitment to advancing financial research through rigorous and cutting-edge methodologies.

📖 Publications

The link between abnormal numbers and price movements of financial securities: How does Benford’s law predict stock returns?

  • Authors: Amal Ben Hamida, Christian de Peretti, Lotfi Belkacem
  • Journal: International Review of Financial Analysis
  • Year: 2024

 Machine learning based methods for ratemaking health care insurance

  • Authors: Amal Ben Hamida, Manel Kacem, Christian de Peretti, Lotfi Belkacem
  • Journal: International Journal of Market Research
  • Year: 2024