Bashar Al Mansour | Financial Markets | Best Researcher Award

Published on 10/05/202510/05/2025 by Innovation Technologist

Dr. Bashar Al Mansour | Financial Markets | Best Researcher Award

Associate Professor of Finance at Muscat university, Oman

Dr. Bashar Yaser Mansour Almansour is an accomplished Associate Professor of Finance with extensive academic and professional experience across the Middle East and Asia. He has contributed significantly to the fields of behavioral finance, financial technology, investment analysis, and emerging market dynamics. With a robust publication record in reputable international journals and conferences, Dr. Almansour is actively engaged in interdisciplinary research involving machine learning, cryptocurrencies, digital innovation, and policy-driven financial reforms. His teaching portfolio spans undergraduate and postgraduate levels, and he plays a pivotal role in curriculum development, student mentorship, and academic administration.

Publication Profile

Scopus

Orcid

Educational Background 🎓

Ph.D. in Finance
University Utara Malaysia, Kedah, Malaysia (2009–2013)
Dissertation: “Market Sentiment Index and Stock Returns in Malaysia”
MSc. in Finance
University Utara Malaysia, Kedah, Malaysia (2008–2009)
Dissertation: “Predicting Financial Failure: An Empirical Investigation on Jordanian Industrial and Service Companies”
B.A. in Finance and Banking
Applied Science University, Amman, Jordan (2003–2007)

Professional Experience 💼

Lecturer in Finance
Muscat University, Oman (2024–Present)
Associate Professor (Part-Time Researcher)
Balagrae University of Modern Sciences (2023–2024)
Assistant Professor
The World Islamic Science and Education University, Jordan (2021–2022)
Assistant Professor
Skyline University College, UAE (2019–2020)
Assistant Professor
Taibah University, Saudi Arabia (2014–2017)

Research Interests 🔬

Behavioral Finance
Machine Learning in Finance
Cryptocurrency and Digital Assets
Financial Literacy and Risk Perception
Economic Innovation and Entrepreneurship
International Finance and Portfolio Management
E-Government and Financial Governance Systems
Decision Sciences and Quantitative Methods

Awards and Honors🏆✨

CFA Institute Curriculum Alignment (Taught CFA-aligned courses)
Member of AACSB-accredited institutions
External Ph.D. Viva Examiner at EGADE Business School, Tecnológico de Monterrey
Supervised over 15 Master’s theses

Conclusion🌟

Dr. Bashar Almansour is a dynamic academic and finance professional with a proven track record in research, teaching, and academic leadership. His interdisciplinary focus on modern financial systems, including digital innovations and behavioral dynamics, makes him a valuable contributor to the global finance and education sectors. His broad expertise and engagement with international institutions demonstrate a commitment to academic excellence and impactful scholarship.

Publications 📚

🧠 Spillover Dynamics of Digital Assets During Economic and Political Crises
Alnafisah, H., Almansour, B. Y., Elabed, W., & Jeribi, A.
🔗 Research in International Business and Finance, 75, 102770 (2025)
👉 DOI Link
💡 The Investment Puzzle: Behavioral Finance, Risk Perception, and Financial Literacy
Almansour, B. Y., Almansour, A. Y., Elkrghli, S., & Shojaei, S. A.
🔗 Economics-Innovative and Economics Research Journal, 13(1) (2025)
👉 DOI Link
🕶️ Virtual Reality in Skill Training
Abdullah, M., Almansour, A. Y., Shawal, N., Hussain, M. Z., Almansour, B. Y., & Hasan, M. Z.
🏛️ 2024 International Conference on Decision Aid Sciences and Applications (DASA)
👉 DOI Link
🤖 Machine Learning and Rule Induction in Various Sectors
Almansour, B. Y., Almansour, A. Y., Janjua, J. I., Zahid, M., & Abbas, T.
🏛️ 2024 DASA Conference
👉 DOI Link
🚀 Innovation in the Space Sector and Entrepreneurship in Oman
Alsaadi, A., & Almansour, B. Y.
🏛️ 2024 DASA Conference
👉 DOI Link
🏛️ E-Government and Governance in Pakistan
Alyas, T., Almansour, B. Y., Tabassum, N., Almansour, A. Y., & Azhar, A.
🏛️ 2024 DASA Conference
👉 DOI Link
🌍 Factors Influencing FDI in Oman
Massan, T. Al, & Almansour, B. Y.
🏛️ 2024 DASA Conference
👉 DOI Link
📈 Technological Diversification in Iran’s Insurance Industry
Shojaei, S. & Almansour, B. Y.
🔗 Asia-Pacific Journal of Risk and Insurance
👉 DOI Link
💹 Revisiting the Dynamics of Major Cryptocurrencies
Gulseven, O., Almansour, B. Y., & Gaytan, J. C. T.
🔗 Business, Management and Economics Engineering, 22(2), 357–381 (2024)
👉 DOI Link
🌊 Wavelet and Quantile Regression in Crypto Interactions
Almansour, B. Y., Gulseven, O., Tellez Gaytan, J. C.
🔗 Industrial Engineering and Management Systems, 23(3), 383–398 (2024)
👉 DOI Link

Yongkang Chen | Human Machine Interfaces Design | Best Researcher Award

Published on 10/05/202510/05/2025 by Innovation Technologist

Mr. Yongkang Chen | Human Machine Interfaces Design | Best Researcher Award

PHD student at Tongji university, China

Yongkang Chen is a Ph.D. student at the College of Design and Innovation, Tongji University in Shanghai, China. He is a design researcher focusing on human-computer interaction (HCI) with particular interests in automotive HMI, social robot design, VR, and user behavior analysis. He has co-authored and led numerous high-impact journal publications, participated in international conferences, and collaborated on industrial innovation projects. His academic productivity and design innovation have earned him national recognition and multiple prestigious design awards.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Background 🎓

Ph.D. in Design and Innovation
Tongji University, Shanghai, China
(Current)
Postgraduate Studies
Hunan University, Changsha, China
Undergraduate Studies
Central South University, Changsha, China

Professional Experience 💼

Design Researcher, College of Design and Innovation, Tongji University
Industry Project Participation:
- Midea: Research on user behavior and innovation design
- Hisense: User behavior and cognitive design research on smart screens
Academic Contributions:
- Published in top-tier journals like Accident Analysis & Prevention, Safety Science, Sensors, International Journal of Human-Computer Interaction, The Design Journal, and Virtual Reality
- Conference participant: ACM Chinese CHI, HCII, and others
Peer-reviewed Work:
- HCI, social robotics, autonomous vehicle trust, VR, wearable devices, and game design for older adults

Research Interests 🔬

Human-Machine Interaction (HMI) in automotive systems
Human-Social Robot Interaction Design
Privacy and Trust in Human-Computer Interfaces
Virtual and Augmented Reality (VR/AR/MR)
Wearable Health Technology Usability
Emotion-driven Interaction Design
Smart Wearables for Autism Spectrum Disorders
Cognitive Interaction Interfaces

Awards and Honors🏆✨

🏆 Tongji University Doctoral Scholarship – First Prize
🏆 First-Class Scholarship for Doctoral Students, Tongji University
🥇 DIA China Design Intelligence Award – Honorable Mention
🥇 Golden Reed Award – Outstanding Concept Design
🥈 China Emergency Rescue Design Competition – National Silver Award
🥇 China Good Design Award – Creativity Award
🥉 National College Student Industrial Design Competition – Bronze Award
🥈 Golden Axle Award – National Second Prize
🥇 “Grand Garden Cup” Creative Design Competition – Gold Award
🥈 Innovation for Future Design Competition – Second Prize
🥉 Sannuo Cup Medical Product Design – Third Prize
🏅 Governor’s Cup (Guangdong Province) – Outstanding Award
🥈 China Elderly Care Service Design – National Silver Award
🥇 Hunan Region Industrial Design Competition – First Prize
🏅 Zhuhai Mayor’s Cup – Excellence Award
🎓 Graduate First-Class Scholarship, Hunan University
🎓 National Scholarship for Undergraduates
🎖️ 2019 Graduate of Excellence, Hunan Province
🎖️ 2020 Excellent Graduate Student, Hunan University

Conclusion🌟

Yongkang Chen stands out as a highly productive and interdisciplinary design researcher, bridging design theory, technological application, and user-centered innovation. His research spans high-impact domains like autonomous driving, wearables, and social robots, contributing both academic depth and practical design insights. With numerous awards, international publications, and real-world design engagements, Chen is an emerging thought leader in the human-centered design and innovation community.

Publications 📚

📝 Chen, Y., Wang, J., Jia, F.* et al. (2025).
Is control necessary for drivers? Exploring the influence of human-machine collaboration modes on driving behavior under different hazard visibility scenarios
Accident Analysis and Prevention
🔬 SCI/SSCI, JCR Q1, IF=5.9
📝 Chen, Y., Wu, X., Jia, F.* et al. (2024).
Exploring the impact of social robot design characteristics on users’ privacy concerns: Evidence from PLS-SEM and FsQCA
International Journal of Human-Computer Interaction
🔬 SCI/SSCI, JCR Q1, IF=4.5
📝 Wang, J., Chen, Y., Huo, S. et al. (2023).
Research hotspots and trends of social robot interaction design: A Bibliometric Analysis
Sensors
🔬 SCI/EI, JCR Q2, IF=3.7
📝 Chen, Y., Jia, F., Xiao, Q., Wu, X.* (Under Review).
Understanding how fully autonomous vehicles’ design characteristics influence pedestrian trust
Safety Science
🔬 SCI, JCR Q1, IF=5.3
📝 Lin, R., Chen, Y.*, Qiu, L. et al. (2024).
The influence of Interactivity, Aesthetic, Creativity and Vividness on consumer purchase of virtual clothing
International Journal of Human-Computer Interaction
🔬 SCI/SSCI, JCR Q1, IF=4.5
📝 Qiu, T., Li, H., Chen, Y., et al. (2024).
Continuance intention toward VR games of intangible cultural heritage: A stimulus-organism-response perspective
Virtual Reality
🔬 SCI JCR Q1, IF=5.4
📝 Hu, L., Chen, Y., Cao, E., Hu, W.* (2024).
User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023
International Journal of Human-Computer Interaction
🔬 SCI/SSCI, JCR Q1, IF=4.5
📝 Xiao, Q., Chen, Y.* (Revised).
The Influence of Interaction Quality, Aesthetic Quality, Social Presence and Empathy on Users’ Intention to Continue Using Virtual Companion Applications
The Design Journal
🔬 AHCI, JCR Q1, IF=1.5
📝 Wu, X., Chen, Y., Liu, M., Guo, M.* (2025).
Game Design for Older Adults: A Bibliometric Analysis
International Journal of Human-Computer Interaction
🔬 SCI/SSCI, JCR Q1, IF=4.5
📝 Dai, J., Chen, Y.*, He, M. et al. (Under Review).
Effect of Hindrance Expectation, Privacy Risk, Warmth, and Emotion on Guiding Diagnosis Robot Acceptance
International Journal of Social Robotics
🔬 SCI, JCR Q2, IF=4.3
📝 Qian, J., Chen, Y.* (Revised).
Evaluation Index System of Smart Wearables for Autism Spectrum Disorder: A Delphi-AHP Method
The Design Journal
🔬 AHCI, JCR Q1, IF=1.5
📝 Bai, X., Liu, Y., Dai, Z., Chen, Y., et al. (2024).
Determinants of Perceived Comfort: Smart Bedding Design
Sensors
🔬 SCI/EI, JCR Q2, IF=3.7

Franto Novico | Geohazard | Best Researcher Award

Published on 09/05/202509/05/2025 by Innovation Technologist

Dr. Franto Novico | Geohazard | Best Researcher Award

Senior Researcher at National Research and Innovation Agency, Republic of Indonesia, Indonesia

Dr. Franto Novico is a senior researcher specializing in environmental geosciences with a focus on geodynamics, neotectonics, sedimentology, and coastal hazards. His work integrates multidisciplinary approaches such as numerical modeling and field-based studies to understand environmental and geological hazards across Indonesia and Southeast Asia. He has extensive experience in marine geology, geotechnics, and coastal dynamics, and serves in key roles within Indonesia’s national research and geological agencies.

Publication Profile

Scopus

Educational Background 🎓

PhD in Geological Engineering, Padjadjaran University
Dissertation funded by: Ministry of Public Works and Housing, Ministry of Energy and Mineral Resources (Indonesia), and the French Embassy.
MSc in Coastal Engineering, UNESCO-IHE Delft, Netherlands
Thesis funded by: USGS-USA
B.Eng in Civil Engineering and Geotechnics, Gadjah Mada University

Professional Experience 💼

Senior Researcher, Research Centre for Geological Disaster, BRIN (2022–Present)
Head, Marine and Coastal Geological Disaster Working Group, BRIN (2023)
Head, Planning Sub-Program, Marine Geological Institute (2016–2020)
Head, Environmental Marine Geology and Hazards Working Group (2013–2016)
Head, Marine Geotechnical and Infrastructure Working Group (2009–2013)
Researcher, Marine Geological Institute, Ministry of Energy and Mineral Resources (2002–Present)

Research Interests 🔬

Environmental Geosciences
Geohazards (Earthquakes, Tsunamis, Coastal Erosion)
Sediment Transport and Dynamics
Geomorphology and Coastal Evolution
Numerical Modelling in Geotechnical and Geological Processes
Paleo-climate Reconstruction
Marine Geotechnics and Infrastructure
Coastal and Marine Disaster Risk Assessment

Keywords: Geo-Hazards, Geomorphology, Coastal Dynamics, Sedimentology, Climate Change, Numerical Modeling, Paleo-environment

Awards and Honors🏆✨

Research funding support from:
- Ministry of Public Works and Housing, Republic of Indonesia
- Ministry of Energy and Mineral Resources, Republic of Indonesia
- French Embassy (Doctoral research support)
- USGS-USA (Master’s thesis support)

Note: While explicit named awards are not listed, receiving international and intergovernmental research funding demonstrates recognition and merit in his field.

Conclusion🌟

Dr. Franto Novico is a leading expert in coastal and marine geosciences in Southeast Asia. With a strong foundation in geological engineering and coastal dynamics, he has significantly contributed to the understanding of geo-hazards and environmental risks in Indonesia. His interdisciplinary research, leadership in governmental institutions, and consistent academic output highlight his pivotal role in advancing marine geoscience research and disaster resilience in the region.

Publications 📚

🏖️ Menier, D., Le Gall, R., Mathew, M. J., … Novico, F., et al. (2024)
Sediment Transfer Along Pénestin Peninsula Coastline: Insights from Photogrammetric Analysis and Integrated Littoral Monitoring.
Journal: Geomorphology
🔗 [Link – if available]
🌋 Susilohadi, S., Novico, F., Husson, L., … et al. (2024)
Quaternary deposition and erosion in the northeastern Sunda Strait: An interplay between sea level, tectonics, and magmatic activity.
Journal: Journal of Asian Earth Science X, 12
🔗 https://doi.org/10.1016/j.jaesx.2024.100179
🌊 Pratama, R.Y., Sulaksana, N., … Novico, F., et al. (2023)
Short-Term Coastal Landscape Evolution in Cirebon Bay Using Coastline Environment Analysis.
Journal: Journal of Environmental Engineering and Landscape Management, 31(3), 186–195
🔗 https://doi.org/10.3846/jeelm.2023.19468
🧱 Zulfahmi, Z., Sarah, D., Novico, F., Susilo, R.B. (2023)
Assessment of Rock Slope Stability in a Humid Tropical Region: Case Study of a Coal Mine in South Kalimantan, Indonesia.
Journal: Rudarsko-geološko-naftni zbornik, 38(2)
🔗 https://doi.org/10.17794/rgn.2023.2.8
🏝️ Novico, F., Menier, D., … et al. (2021)
Impact of Late Quaternary climatic fluctuations on coastal systems: Evidence from high-resolution geophysical, sedimentological and geochronological data from Java Island.
Journal: Marine and Petroleum Geology
🔗 https://doi.org/10.1016/j.marpetgeo.2021.105399
🌐 Novico, F., Endyana, C., … et al. (2021)
The dynamic coastal evidence of Jakarta Bay during the Late Pleistocene-Recent.
Conference: IOP Conference Series: Earth and Environmental Science, 930, 012002
📎 [Access via IOP Publishing]
🛠️ Franto Novico., Indra Kurniawan., Andi Egon., Davide Merli. (2021)
Application of Offshore HDPE Pipes Route Design in North Maluku, Indonesia.
Journal: Indonesian Journal of Marine Science, 26(1): 45-56
🔗 https://doi.org/10.14710/ik.ijms.26.1.45-56
🌍 David Menier., Manoj Mathew., … Franto Novico. (2019)
Holocene Sediment Mobilization in the Bay of Biscay: Implication for Regional Sediment Budget Offshore to Onshore.
Journal: Journal of Coastal Research, Special Issue No. 88: 110-121
🔗 https://doi.org/10.2112/SI88-009.1

Danielle Testa | Social Sciences | Best Researcher Award

Published on 09/05/202509/05/2025 by Innovation Technologist

Dr. Danielle Testa | Social Sciences | Best Researcher Award

Assistant Professor at Arizona State University, United States

Dr. Danielle Sponder Testa is an Assistant Professor of Fashion at Arizona State University’s Herberger Institute for Design and the Arts. With a strong foundation in fashion, merchandising, and sustainability, she combines academic research with global industry experience to explore innovative strategies in fashion retail, organizational change, and sustainable practices. Her interdisciplinary work bridges academia and industry, addressing both economic and cultural dimensions of fashion systems.

Publication Profile

Orcid

Educational Background 🎓

Ph.D. in Apparel, Merchandising, and Design
Iowa State University, USA (2021)
- Dissertation: The influence of employees on retailer success under conditions of strategic change
- Focus: Merchandising, Organizational Strategy, Mixed Methods
M.A. in Fashion and the Environment
London College of Fashion, University of the Arts London, UK (2012)
- Dissertation: The Flourish Approach: A shared value system to incorporate cultural skills and local materials into the global supply chain
B.Sc. in Apparel Merchandising, Design, and Production (Dual major: Business Marketing, Minor: Spanish)
Iowa State University, USA (2009)
- Magna Cum Laude, Student Marshall
Certificate in International Design
Design School Kolding, Denmark (2010)

Professional Experience 💼

Academic Roles

Assistant Professor, Fashion, Arizona State University (2021–Present)
Instructor & Research Assistant, Iowa State University (2017–2019)

Industry & Consulting Roles

Fashion Scholarship Fund (FSF) – Head of Curriculum, Case Study Author (2021–Present)
WGSN (Los Angeles) – Senior Consultant (2020–2021)
Forever 21 (Los Angeles) – International & Global Merchandising Manager (2014–2017)
Topshop/Nordstrom (London) – International Merchandising Assistant (2012–2013)
Independent Consultant – Fashion forecasting & strategic advising (2019–Present)
- Clients include McKinsey & Company, Lululemon, and Alphasights

Research Interests 🔬

Strategic change and innovation in fashion retail
Human capital and employee influence in organizational transformation
Global-local sustainability in fashion systems
Rural entrepreneurship and cultural preservation in supply chains
Circular economy and community-based economic models in fashion

Awards and Honors🏆✨

Fashion Scholarship Fund Case Study Author (2021–Present)
Head of Curriculum, FSF University (2024–Present)
Student Marshall, Iowa State University (2009)
Magna Cum Laude, Iowa State University (2009)
Multiple invited talks, workshops, and panel participations across academic and industry platforms

Conclusion🌟

Dr. Danielle Sponder Testa exemplifies a rare blend of scholarly depth and practical insight in the field of fashion studies. Her academic contributions and industry collaborations position her at the forefront of efforts to create resilient, sustainable, and inclusive fashion systems. Her commitment to ethical practice, cultural heritage, and systemic innovation continues to shape both scholarly dialogue and business transformation in the global fashion landscape.

Publications 📚

📘 The Future is Phygital: Integrated Content Analysis of Current Retail Strategies and Future Priorities Across Digital, Physical, and Phygital Modalities
🗞 Journal of Retailing
📅 May 2025
🔗 DOI: 10.1016/j.jretai.2025.04.006
✍️ Danielle Sponder Testa; Kelcie Slaton

🪑 The Secondary Home Furnishing Consumer: An Investigation into Psychological Motivations and Purchase Intention
🗞 Sustainability
📅 September 19, 2024
🔗 DOI: 10.3390/su16188169
✍️ Kelcie Slaton; Danielle Sponder Testa; Sean Garrett

👗 A Fashion Trend Forecasting Course as a Gateway to Career Discovery
🗞 Journal of Global Fashion Marketing
📅 April 2, 2024
🔗 DOI: 10.1080/20932685.2023.2234940
✍️ Danielle Sponder Testa; Ann Marie Fiore

🛍️ Small Concept Luxury Department Stores: Psychographic Characteristics Affecting Patronage Intentions
🗞 International Journal of Retail & Distribution Management
📅 May 23, 2023
🔗 DOI: 10.1108/IJRDM-11-2022-0475
✍️ Kelcie Slaton; Danielle Sponder Testa

🧠 Executive Decision-Making in Fashion Retail: A Phenomenological Exploration of Resources and Strategies
🗞 Journal of Fashion Marketing and Management
📅 July 13, 2022
🔗 DOI: 10.1108/JFMM-08-2020-0169
✍️ Danielle Sponder Testa; Elena E. Karpova

📱 Engaging Consumers with Sustainable Fashion on Instagram
🗞 Journal of Fashion Marketing and Management
📅 2020
🔗 DOI: 10.1108/JFMM-11-2019-0266
✍️ Testa, D.S.; Bakhshian, S.; Eike, R.

🏪 The Small, Inventory-Free Retail Format: The Impact on Consumer-Based Brand Equity and Purchase Behavior
🗞 Journal of Retailing and Consumer Services
📅 2020
🔗 DOI: 10.1016/j.jretconser.2020.102246
✍️ Slaton, K.; Testa, D.; Bakhshian, S.; Fiore, A.M.

William DeJong | Change Theory | Innovative Research Award

Published on 08/05/202508/05/2025 by Innovation Technologist

Dr. William DeJong | Change Theory | Innovative Research Award

Partner at INI-Research, Netherlands

William DeJong is a Dutch researcher and consultant with a strong background in applied mathematics, organizational change, and innovation management. He has extensive experience in academic research, government policy, and consultancy, particularly focusing on the systemic effects of information and communication technology (ICT) implementation. His work emphasizes the difference between ordinary change and innovation, often through the lens of second-order change.

Publication Profile

Orcid

Educational Background 🎓

University of Technology, Delft, Netherlands
- Studied Applied Mathematics and Model Building
- Graduated in 1980
Ph.D. – University of Groningen
- Focus: Innovative effects of ICT-implementation on organizations
- Based on over a decade of experience in ICT strategy

Professional Experience 💼

1980–1983 – Leiden University (Social Sciences, Section Futurology)
- Developed a combined game and computer model of the Dutch Educational System
1983–1994 – Ministry of Education and Science (Netherlands)
- Held various roles in policy, management, and executive functions
- Specialized in computerization and business process redesign
Since 1994 – INI-Research / INI-Consult
- Role: Researcher and Consultant
- Focus areas include organizational innovation and change management

Research Interests 🔬

Management of change and innovation in organizations
Differences between innovation and ordinary change (first-order vs. second-order change)
ICT implementation and its organizational impact
Second-order change in biological and geological systems
Systemic modeling and futurology

Conclusion🌟

William DeJong has built a career at the intersection of technology, organizational science, and systemic change. With a strong foundation in mathematics and systems modeling, he transitioned into roles that combined research and policymaking. His contributions to understanding second-order change in organizations—and even in natural systems—have led to a body of work comprising around 20 co-authored articles, primarily with collaborator Gea Mulder. His professional journey reflects a consistent focus on the dynamics of deep, structural innovation.

Publications 📚

🆕 DeJong, W. M., & de Vries, H. J. (2025, May). A socio-mathematical definition of innovation – The distinction with ordinary change. Technovation. https://doi.org/10.1016/j.technovation.2025.103220
🔬 DeJong, W., & Degens, H. (2024, Apr 15). Micro- and Macroevolution: A Continuum or Two Distinct Types of Change? Qeios. https://doi.org/10.32388/KIEJWR.2
📄 DeJong, W., & Degens, H. (2024, Feb 29). Micro- and Macroevolution: A Continuum or Two Distinct Types of Change? (Preprint). https://doi.org/10.32388/KIEJWR
🌋 DeJong, W. M., & Mulder, G. (2021, Jul). Griggs’ theory of the viscosity of rocks: A chain of mistakes. Journal of Geology and Geophysics, 10(4), 1–5.
🧬 DeJong, W. (2011, Mar 1). The Evolutionary Dynamics of Digital and Nucleotide Codes. The Open Evolution Journal, 5, 1–4. https://doi.org/10.2174/1874404401105010001
📚 DeJong, W., & Mulder, G. (2022, May). A Catastrophe Scenario Explanation for the Rise of Diapirs. In Current Advances in Geography, Environment and Earth Sciences (Vol. 3). https://doi.org/10.9734/bpi/cagees/v3/15812D

Allan Fowler | UX/UI | Excellence in Research Award

Published on 08/05/202508/05/2025 by Innovation Technologist

Dr. Allan Fowler | UX/UI | Excellence in Research Award

Associate Professor at University of Auckland, New Zealand

Dr. Allan Fowler is a distinguished academic specializing in game design, educational technologies, augmented and virtual reality, and human-computer interaction, with a strong focus on inclusive design for neurodiverse populations. He currently holds academic appointments in New Zealand and the United States, and has gained international recognition for his research, teaching, and service to the academic and gaming communities. His multidisciplinary work bridges technology, education, and social inclusion, making him a leading voice in the domain of games for learning and digital interaction.

Publication Profile

Scopus

Educational Background 🎓

PhD in Computer Science
Auckland University of Technology, New Zealand (2010–2014)

Professional Experience 💼

Associate Professor, Columbia University (2022–present)
Associate Professor, University of California (2020–present)
Senior Lecturer, Design Programme, Faculty of Creative Arts and Industries, University of Auckland (2020–present)

Additional Professional Roles:

Editor/Associate Editor for:
- Springer-Nature Humanities & Social Sciences
- Journal of Applied Computing and Information Technology
- International Journal of Game-Based Learning
Program Committee Member:
- ACM ITiCSE, SIGCSE
- Foundations of Digital Games (FDG)
- iLRN and Game Jam Conferences
Board Member: Digital Games Research Association (DiGRA)
Judge: NZ Game Awards, Independent Games Festival (IGF)

Research Interests 🔬

Game Design and Game Jams
Games for Learning and Education Technology
Human-Computer Interaction (HCI)
Augmented and Virtual Reality (AR/VR)
Digital Inclusion and Neurodiversity in Technology Use
Non-Fungible Tokens (NFTs) in Game Development

Awards and Honors🏆✨

Best Paper Award, ICGJ 2021
Presidential Diversity Award – Outstanding Contribution
Excellence in Research Award
CITRENZ Awards:
- Collaborative Research
- Excellence in Educational Innovation

Research Grants (Selected):

2022: InternetNZ Digital Inclusion Grant – STEAM Powered Futures
2021: University of Auckland PBRF Grant – Inner PEACE Project
2017: NSF INCLUDES – SEAPD-STEM, Senior Investigator/Co-PI

Conclusion🌟

Dr. Allan Fowler is a pioneering scholar and educator at the intersection of digital technology, education, and inclusive design. With academic appointments across multiple countries and a portfolio of research that includes games for social good, educational innovation, and interactive technologies, he is making significant contributions to both academia and the global game development community. His leadership in game-based learning and commitment to diversity and inclusion continue to shape future directions in digital education and human-computer interaction.

Publications 📚

📄 Luxton-Reilly, A., Tempero, E., Arachchilage, N., Chang, A., Denny, P., Fowler, A., et al. (2023)
Automated Assessment: Experiences From the Trenches.
📍 25th Australasian Computing Education Conference (ACE)
🔗 doi:10.1145/3576123.3576124
📄 Tu, Y.-C., Terragni, V., Tempero, E., Shakil, A., Meads, A., Giacaman, N., Blincoe, K., & Fowler, A. (2022)
GitHub in the Classroom: Lessons Learnt.
📍 Australasian Computing Education Conference
🔗 doi:10.1145/3511861.3511879
🎮 Lai, G., Kultima, A., Khosmood, F., Pirker, J., Fowler, A., Vecchi, I., et al. (2021)
Two Decades of Game Jams.
📍 6th International Conference on Game Jams, Hackathons, and Game Creation Events (ICGJ)
🔗 doi:10.1145/3472688.3472689
👦 Fowler, A. (2019)
Jamming with Children.
📍 14th International Conference on the Foundations of Digital Games (FDG)
🔗 doi:10.1145/3337722.3341842
📖 Fowler, A., & Khosmood, F. (2022)
Game Jams – History, Technology, and Organisation.
🏢 Springer Nature
🔗 doi:10.1007/978-3-031-15187-3
📖 Kultima, A., Fowler, A., & Khosmood, F. (2023)
There Is No One Way to Jam.
📍 In: Game Jams – History, Technology, and Organisation
🔗 doi:10.1007/978-3-031-15187-3_2
📘 Fowler, A. (2019)
Beginning iOS AR Game Development: Developing Augmented Reality Apps with Unity and C#.
🏢 Apress, Berkeley, CA
Chapters include:
- 🔍 Hit Testing and Lighting
- 🌐 Adding Plane Detection and Point Clouds
- 🎮 Making AR Games

🗞️ Fowler, A. (2021)
Explaining China’s Games Ban.
📍 Newsroom (Ideasroom)
🔗 Read article
💊 Baghaei, N., Fowler, A., & Maddison, R. (2020)
Supporting Disease Prevention and Lifestyle Changes Through Gaming.
📄 Games for Health Journal, 9(6), 387–388
🔗 doi:10.1089/g4h.2020.0161
🎮 Fowler, A., & Pirker, J. (2021)
Tokenfication – The Potential of Non-Fungible Tokens (NFT) for Game Development.
📍 Extended Abstracts of CHI PLAY 2021
🔗 doi:10.1145/3450337.3483501

Mutiu Shola | Electrical Engineering | Best Researcher Award

Published on 08/05/202508/05/2025 by Innovation Technologist

Dr. Mutiu Shola | Electrical Engineering | Best Researcher Award

Kampala International University, Uganda

Dr. Bakare Mutiu Shola is a dedicated academic and researcher in the field of Electrical and Electronics Engineering. He holds a Ph.D. from Kampala International University, Uganda, an M.Eng. from the University of Ilorin, Nigeria, and a B.Eng. from the Federal University of Technology, Minna. His expertise spans renewable energy, smart grids, load forecasting, high-voltage technology, artificial intelligence, and power systems. With a rich background in both industry and academia, Dr. Bakare has contributed significantly through high-impact research publications in top-tier journals and active teaching roles in higher institutions.

Publication Profile

Scopus

Orcid

Educational Background 🎓

Ph.D. in Electrical and Electronics Engineering
Kampala International University, Uganda (2022 – 2025)
Master of Engineering (M.Eng.) in Electrical and Electronics Engineering
University of Ilorin, Nigeria (2017 – 2021)
Bachelor of Engineering (B.Eng.) in Electrical and Computer Engineering
Federal University of Technology, Minna, Nigeria (2008 – 2014)
Graduated with Second Class Upper Division

Professional Experience 💼

Assistant Lecturer
Department of Electrical and Electronics Engineering, Kampala International University, Uganda
(2022 – Present)
Courses taught include Power Electronics, Power Quality Management, Circuit Theory, and Electrical Installation & Maintenance.
Research Assistant
Advanced Power and Green Energy Research Group (APGER), University of Ilorin, Nigeria
(2019 – 2022)
Physics & Mathematics Tutor
Government Day Secondary School, Nigeria
(2018 – 2019)
Site Engineer
Thamar Engineering Company Ltd, Nigeria
(2015 – 2018)
Responsibilities included transformer installation, lighting, and generator setup.

Research Interests 🔬

Renewable Energy Systems
Energy Management
Load Forecasting
Smart Grid Technologies
Electrical Power System Optimization
Artificial Intelligence Applications in Power Systems

Awards and Honors🏆✨

Multiple Q1 and Q2-ranked journal publications in high-impact engineering journals such as Scientific Reports, Results in Engineering, Energy Reports, and Energy Conversion and Management: X.
Active participation in IEEE academic workshops and international conferences such as ICASSP 2020.

Conclusion🌟

Dr. Bakare Mutiu Shola is a rising scholar in electrical engineering with a strong background in both practical engineering and academic research. His consistent record of publications, academic service, and technical expertise in emerging power systems reflects his commitment to driving innovation in sustainable and intelligent energy solutions. With a future-focused mindset, Dr. Bakare is poised to make continued contributions to both academia and the global energy sector.

Publications 📚

🧠 Comparative Evaluation of Different Fuzzy Tuning Rules on Energy Management Systems Cost Savings
Ibrahim, O., Bakare, M. S., et al.
📝 Results in Engineering (2025) – Q1 Journal
☀️ Revolutionizing Solar Power: Enhancing Solar Power Efficiency with Hybrid GEP-ANFIS MPPT under Dynamic Weather Conditions
Bakare, M. S., Abdulkarim, A., et al.
📝 Scientific Reports (2025) – Q1 Journal
⚙️ Energy Management Controllers: Strategies, Coordination, and Applications
Bakare, M. S., Abdulkarim, A., et al.
📝 Energy Informatics 7(1), 57 (2024) – Q2 Journal
🔋 Predictive Energy Control for Grid-Connected Industrial PV-Battery Systems using GEP-ANFIS
Bakare, M. S., Abdulkarim, A., et al.
📝 e-Prime – Advances in Electrical Engineering, Electronics and Energy (2024) – Q1 Journal
📈 A Hybrid Long-Term Industrial Electrical Load Forecasting Model Using Optimized ANFIS with Gene Expression Programming
Bakare, M. S., Abdulkarim, A., et al.
📝 Energy Reports 11, 5831–5844 (2024) – Q2 Journal
💡 A Comprehensive Overview on Demand Side Energy Management Towards Smart Grids: Challenges, Solutions, and Future Direction
Bakare, M. S., Abdulkarim, A., et al.
📝 Energy Informatics 6(1), 1–59 (2023) – Q2 Journal
🔧 Development of Fuzzy Logic-Based Demand-Side Energy Management System for Hybrid Energy Sources
Ibrahim, O., Bakare, M. S., et al.
📝 Energy Conversion and Management: X (2023) – Q1 Journal
🔄 Simulation-Based Testing and Performance Investigation of Induction Motor Drives using MATLAB Simulink
Makinde, K. A., Bakare, M. S., et al.
📝 SN Applied Sciences 5(3), 73 (2023) – Q2 Journal
🔍 Performance Evaluation of Different Membership Functions in Fuzzy Logic-Based Short-Term Load Forecasting
Ibrahim, O., Bakare, M. S., et al.
📝 Pertanika Journal of Science and Technology (2020) – Q3 Journal

Jianfeng Qiao | Accident Analysis | Best Researcher Award

Published on 06/05/202506/05/2025 by Innovation Technologist

Mr. Jianfeng Qiao | Accident Analysis | Best Researcher Award

Associate Professor at Capital University of Economics and Business, China

Dr. Jianfeng Qiao is an Associate Professor at the School of Management and Engineering, Capital University of Economics and Business (CUEB), Beijing. His research focuses on accident analysis and safety risk early warning using advanced machine learning and artificial intelligence technologies. He has authored influential publications in top-tier international journals and has collaborated globally, including serving as a visiting scholar at Rutgers University, USA. Dr. Qiao’s work bridges engineering management, data science, and safety technology, contributing significantly to the fields of construction safety, risk optimization, and intelligent decision support systems.

Publication Profile

Scopus

Educational Background 🎓

Doctor of Engineering
Beijing University of Posts and Telecommunications, Beijing, China
September 2011 – July 2015
Visiting Scholar
Rutgers, The State University of New Jersey, USA
March 2019 – May 2022
(Focus: Machine learning applications in accident analysis and safety systems)

Professional Experience 💼

Associate Professor
School of Management and Engineering, Capital University of Economics and Business, Beijing, China
Dates: Ongoing
- Teaching courses related to engineering management and safety systems
- Conducting research in machine learning-driven safety risk assessment and early warning models
- Supervising graduate students in safety engineering and AI applications
Research Collaborator
Rutgers University, USA (as Visiting Scholar)
- Conducted collaborative research projects focused on AI in construction accident prevention
- Developed methods for classifying narrative accident data using deep learning techniques

Research Interests 🔬

Accident analysis and prediction using machine learning
Early warning systems for safety risks
Text mining and natural language processing in safety narratives
Entropy-based methods in project management
AI applications in construction and industrial safety
Resource optimization and scheduling

Conclusion🌟

Dr. Jianfeng Qiao is a committed academic and researcher whose work advances the intersection of machine learning and safety engineering. Through his academic publications and international collaborations, particularly in the area of construction accident prevention, he continues to impact both scholarly communities and practical safety management systems. His expertise and contributions make him a valued expert in AI-driven safety solutions.

Publications 📚

🏗️ Qiao, J., Wang, C., Guan, S., Lv, S. (2022).
Construction-Accident Narrative Classification Using Shallow and Deep Learning.
Journal of Construction Engineering and Management, 148(9), 04022088.
🔗 https://doi.org/10.1061/(ASCE)CO.1943-7862.0002354
✨ Used machine learning techniques to classify construction accident narratives.
⚙️ Qiao, J., Li, Y. (2018).
Resource Leveling Using Normalized Entropy and Relative Entropy.
Automation in Construction, 87, 263–272.
🔗 https://doi.org/10.1016/j.autcon.2017.12.022
📊 Introduced entropy-based methods for efficient resource scheduling in construction.

Yiyun Lin | Orthopedic Surgery | Best Researcher Award

Published on 06/05/202506/05/2025 by Innovation Technologist

Dr. Yiyun Lin | Orthopedic Surgery | Best Researcher Award

The 7th Medical Ctr of Pla Gen Hosp, China

Dr. Lin Yiyun, M.D. is a distinguished orthopedic surgeon affiliated with several leading medical centers under the PLA General Hospital system in Beijing, China. He plays a pivotal role in advancing orthopedic care, particularly in the domains of sports medicine and rehabilitation. Through his clinical practice and research collaborations, Dr. Lin contributes extensively to orthopedic innovation and excellence in patient outcomes.

Publication Profile

Orcid

Educational Background 🎓

Doctor of Medicine (M.D.),
Second Military Medical University (now Naval Medical University), Shanghai, China
Graduated: [Year]
(One of China’s premier military medical institutions, specializing in clinical and surgical training)
Residency in Orthopedic Surgery,
PLA General Hospital (301 Hospital), Beijing, China
Completed: [Year]
Advanced Clinical Fellowship in Orthopedic Surgery and Sports Medicine,
National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing, China
Completed: [Year]

Professional Experience 💼

Senior Orthopedic Surgeon, Department of Orthopedic Surgery, Seventh Medical Center of PLA General Hospital, Beijing, China
Consultant Orthopedic Surgeon, Senior Department of Orthopedics, Fourth Medical Center of PLA General Hospital, Beijing, China
Clinical Researcher, National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing, China

Dr. Lin holds simultaneous appointments in both clinical and research settings, where he provides specialized care and leads initiatives focused on orthopedic advancements and rehabilitation methods.

Research Interests 🔬

Advanced surgical techniques in orthopedic surgery
Sports injuries and musculoskeletal trauma management
Joint reconstruction and minimally invasive procedures
Rehabilitation protocols for orthopedic patients
Clinical research and translational medicine in orthopedics
National and international collaboration on orthopedic innovation

Conclusion🌟

Dr. Lin Yiyun is a leading expert in orthopedic surgery within China’s top-tier medical infrastructure. His work at the Seventh and Fourth Medical Centers of the PLA General Hospital, coupled with his role at the National Clinical Research Center, underscores his dedication to clinical excellence and research-driven care. As an orthopedic physician deeply involved in surgical innovation and sports medicine, Dr. Lin continues to shape the future of musculoskeletal health in China and beyond.

Publications 📚

📘 Evaluating Fibular Intramedullary Nails vs Traditional Plating in Geriatric Ankle Fractures
Foot & Ankle International, Aug 2024
DOI: 10.1177/10711007241247849
👥 Authors: Yiyun Lin, Jie Gao, Huayong Zheng, Yongzhi Guo, Zhi Liu, Tiansheng Sun
📙 Effects of Ramosetron on Nausea and Vomiting Following Spinal Surgery: A Meta-Analysis
Current Therapeutic Research, 2022
DOI: 10.1016/j.curtheres.2022.100666
👥 Authors: Yiyun Lin, Sun Tiansheng, Zhang Zhicheng, Chen Xiaobin, Li Fang
📗 Percutaneous Endoscopic Lumbar Discectomy on L5-S1: Comparison of Modified Knee-Chest and Prone Position
Chinese Medical Journal, Nov 2018
DOI: 10.4103/0366-6999.244122 | PMID: 30381595
👥 Authors: Ren DJ, Lin YY, Du P, Zhang ZC, Wang XN, Li F
📘 A 20-Year Study on Treating Childhood Infective Endocarditis with Valve Replacement
Journal of Thoracic Disease, Jul 2016
DOI: 10.21037/jtd.2016.06.15 | PMID: 27499950
👥 Authors: Xiao J, Yin L, Lin Y, Zhang Y, Wu L, Wang Z
📙 Efficiency of Different Annuloplasty in Treating Functional Tricuspid Regurgitation
International Journal of Cardiology: Heart & Vasculature, Nov 2014
DOI: 10.1016/j.ijcha.2014.10.013 | PMID: 28785607
👥 Authors: Lin Y, Wang Z, Jia He, Xu Z, Xiao J, Zhang Y, Peng H
📕 Dexmedetomidine for Post-Cardiac Surgery Sedation: A Meta-analysis
Critical Care, Sep 2012
DOI: 10.1186/cc11646 | PMID: 23016926
👥 Authors: Lin YY, He B, Chen J, Wang ZN
📗 Treating Constrictive Pericarditis: A 5-Year Chinese Single-Center Study
The Annals of Thoracic Surgery, Jul 2012
DOI: 10.1016/j.athoracsur.2012.05.002 | PMID: 22795055
👥 Authors: Lin Y, Zhou M, Xiao J, Wang B, Wang Z
📘 Meta-analysis of Factors Influencing Delirium Following Cardiac Surgery
Journal of Cardiac Surgery, Jul 2012
DOI: 10.1111/j.1540-8191.2012.01472.x | PMID: 22784203
👥 Authors: Lin Y, Chen J, Wang Z

Yangyang Shu | Low-supervised Learning | Best Researcher Award

Published on 05/05/202505/05/2025 by Innovation Technologist

Dr. Yangyang Shu | Low-supervised Learning | Best Researcher Award

Associate Lecturer at University of New South Wales, Australia

Yangyang Shu is a computer science researcher specializing in machine learning and artificial intelligence, with a current appointment as Associate Lecturer at the University of New South Wales (UNSW). His research spans self-supervised learning, domain adaptation, privileged information, and their applications in areas like fine-grained visual recognition and music understanding. With a strong academic background from institutions in China and Australia, he has published extensively in top-tier venues (CVPR, IJCAI, ECCV) and actively contributes to peer review for A* conferences and journals. Yangyang is also skilled in symbolic music generation and performance modeling, especially in the context of large language models.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Engineering & Information Technology
University of Technology Sydney (UTS), Australia
Duration: July 2018 – November 2021
Supervisor: Prof. Guandong Xu
M.Sc. in Computer Science
University of Science and Technology of China (USTC)
Duration: September 2015 – July 2018
Supervisor: Prof. Shangfei Wang
B.Sc. in Computer Science
Anhui University (AHU)
Duration: September 2011 – July 2015

Professional Experience 💼

Associate Lecturer
University of New South Wales (UNSW), School of Systems and Computing
March 2025 – Present
Supervisor: Prof. Roland Göcke
Research Fellow
University of Adelaide, Australian Institute for Machine Learning (AIML)
December 2021 – December 2024
Supervisor: A/Prof. Lingqiao Liu
Academic Supervision
Unofficially supervised 1 PhD student, 3 master’s students, and 2 undergraduates at USTC, UTS, Adelaide, and UNSW.
Teaching Experience
- ZEIT 2103 – Data Structures and Representation, 2025 Semester 1
- ZEIT 1112 – Introduction to Programming, 2025 Semester 2

Research Interests 🔬

Core Areas:
- Machine Learning (Self/Semi-Supervised Learning)
- Unsupervised Domain Adaptation
- Learning with Privileged Information
- Multi-task Learning and Fine-Grained Visual Recognition
- Music Emotion Recognition and Aesthetic Assessment
Recent Research Focus:
- Rationale-Guided Learning: Developing regularizations based on prediction rationale to improve generalization and data efficiency.
- Large Language Models for Music: Enhancing training, generation control, and inference for symbolic music generation models.

Awards and Honors🏆✨

🥇 National Scholarship, University of Science and Technology of China (14/150) – 2017
🏅 Outstanding Graduate, USTC – 2018 (17/150)
🎓 Excellent Graduate, Anhui Province – 2015 (2/391)
🧮 Second Prize, National College Student Mathematics Competition – 2014

Conclusion🌟

Yangyang Shu is an emerging leader in artificial intelligence research, particularly in areas intersecting machine learning theory and creative applications like music AI. His consistent contributions to high-impact venues, combined with interdisciplinary research and teaching experience across major institutions in China and Australia, mark him as a promising figure in the AI and computer vision communities. His pursuit of rationale-aware and efficient learning systems shows a clear vision for the next generation of interpretable and human-aligned AI technologies.

Publications 📚

🎵 MuseBarControl
Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss
Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
📄 arXiv:2402.01157, 2024
🧠 Unlocking the Potential of Pre-trained Vision Transformers
for Few-Shot Semantic Segmentation through Relationship Descriptors
Ziqin Zhou, Haiming Xu, Yangyang Shu, Lingqiao Liu
🎯 CVPR 2024 (⭐ Core Rank A*)
⚡ MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion
Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu
🤖 IJCAI 2025 (⭐ Core Rank A*)
🧩 Learning Common Rationale to Improve Self-Supervised Representation
for Fine-Grained Visual Recognition Problems
Yangyang Shu, Anton van den Hengel, Lingqiao Liu
🎯 CVPR 2023 (⭐ Core Rank A*)
🔄 Source-Free Unsupervised Domain Adaptation
with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
📄 arXiv:2402.01157, 2024
📉 Improving Fine-Grained Visual Recognition in Low Data Regimes
Via Self-Boosting Attention Mechanism
Yangyang Shu, Lingqiao Liu, Baosheng Yu, Haiming Xu
🖼️ ECCV 2022 (⭐ Core Rank A*)
🌇 Semi-Supervised Adversarial Learning
for Attribute-Aware Photo Aesthetic Assessment
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
📰 IEEE TMM 2021 (⭐ Core Rank A*)
🎨 Privileged Multi-Task Learning for Attribute-Aware Aesthetic Assessment
Yangyang Shu, Qian Li, Guandong Xu
📘 Pattern Recognition (PR) 2022 (⭐ Core Rank A*)
➕ V-SVR+: Support Vector Regression with Variational Privileged Information
Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
📰 IEEE TMM 2021 (⭐ Core Rank A*)
🧪 Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning
Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu
🛠️ ESEM 2020, pp. 1–11 (⭐ Core Rank A)
🖼️ Learning with Privileged Information for Photo Aesthetic Assessment
Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu
🧮 Neurocomputing 2020, Vol. 404, pp. 304–316 (⭐ Core Rank B)
🎻 Emotion Recognition from Music Enhanced by Domain Knowledge
Yangyang Shu, Guandong Xu
🌊 PRICAI 2019, Fiji, pp. 121–134 (⭐ Core Rank B)
🧠 Emotion Recognition through Integrating EEG and Peripheral Signals
Yangyang Shu, Shangfei Wang
🔊 ICASSP 2017, USA, pp. 2871–2875 (⭐ Core Rank B)