Angeliki Antoniou | AI | Best Researcher Award

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Assoc. Prof. Dr. Angeliki Antoniou | AI | Best Researcher Award

Assoc. Prof. Dr. Angeliki Antoniou | AI | Associate Professor at University of West Attica | Greece

Assoc. Prof. Dr. Angeliki Antoniou is a distinguished scholar in the field of Human-Computer Interaction (HCI), Educational Technologies, and Digital Cultural Heritage, currently serving at the University of West Attica, Department of Archival, Library and Information Studies, Greece. She earned her Doctor of Informatics (Ph.D.) from the University of Peloponnese, focusing on adaptive educational technologies for museums, and holds an MSc in Human-Computer Interaction with Ergonomics from University College London (UCL). Additionally, she possesses undergraduate degrees in Psychology from the University of Kent and Early Childhood Education from the National and Kapodistrian University of Athens, illustrating her interdisciplinary foundation that bridges education, psychology, and informatics. Professionally, Assoc. Prof. Dr. Angeliki Antoniou has accumulated extensive teaching and research experience across institutions such as the University of Peloponnese and the University of West Attica, where she has led courses in cognitive psychology, human-computer interaction, and digital learning environments. Her research interests include user-centered design, cognitive modeling, serious games, digital storytelling, and technology-enhanced museum learning. She has successfully contributed to and coordinated several international and national projects on cultural heritage technologies, and her work is well-cited in high-impact academic journals indexed in Scopus and IEEE. Assoc. Prof. Dr. Angeliki Antoniou’s research skills encompass experimental design, usability evaluation, qualitative and quantitative analysis, and the development of adaptive systems for education and culture. She has received academic recognition for her leadership in interdisciplinary research, along with honors for her contributions to digital culture and innovation in educational informatics. In conclusion, Assoc. Prof. Dr. Angeliki Antoniou exemplifies academic excellence, innovative vision, and global impact through her scholarly research, educational leadership, and enduring contributions to the advancement of digital cultural heritage and human-computer interaction.

Profile: Google Scholar

Featured Publications 

  1. Lykourentzou, I., Antoniou, A., Naudet, Y., & Dow, S. P. (2016). Personality matters: Balancing for personality types leads to better outcomes for crowd teams. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. Citations: 158

  2. Theodoropoulos, A., & Antoniou, A. (2022). VR games in cultural heritage: A systematic review of the emerging fields of virtual reality and culture games. Applied Sciences, 12(17), 8476. Citations: 108

  3. Antoniou, A., & Lepouras, G. (2010). Modeling visitors’ profiles: A study to investigate adaptation aspects for museum learning technologies. Journal on Computing and Cultural Heritage (JOCCH), 3(2), 1–19. Citations: 84

  4. Lykourentzou, I., Claude, X., Naudet, Y., Tobias, E., Antoniou, A., & Lepouras, G. (2013). Improving museum visitors’ quality of experience through intelligent recommendations: A visiting style-based approach. Workshop Proceedings of the 9th International Conference on Intelligent Environments. Citations: 76

  5. Antoniou, A., Lepouras, G., Bampatzia, S., & Almpanoudi, H. (2013). An approach for serious game development for cultural heritage: Case study for an archaeological site and museum. Journal on Computing and Cultural Heritage (JOCCH), 6(4), 1–19. Citations: 69

  6. Katifori, A., Perry, S., Vayanou, M., Antoniou, A., Ioannidis, I. P., & McKinney, S. (2020). “Let them talk!” Exploring guided group interaction in digital storytelling experiences. Journal on Computing and Cultural Heritage (JOCCH), 13(3), 1–30. Citations: 67

  7. Antoniou, A., Katifori, A., Roussou, M., Vayanou, M., Karvounis, M., & Kyriakidi, M. (2016). Capturing the visitor profile for a personalized mobile museum experience: An indirect approach. Proceedings of the Digital Heritage International Congress. Citations: 60

 

Wentao Zhao | Task Scheduling | Best Researcher Award

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Mr. Wentao Zhao | Task Scheduling | Best Researcher Award

Mr. Wentao Zhao | Task Scheduling – Undergraduate Student at New York University, China

Wentao Zhao is an accomplished researcher and data scientist with a strong background in mathematics, economics, and artificial intelligence. His expertise spans machine learning, financial analytics, and data-driven decision-making, with a focus on applying AI techniques in business optimization and healthcare diagnostics. With extensive research experience in deep learning, numerical analysis, and predictive modeling, Wentao has made valuable contributions to intelligent systems, speech-based diagnostics, and recommendation algorithms. His ability to bridge theoretical insights with practical applications has positioned him as a leading innovator in AI-driven analytics and finance.

Professional Profile 

ORCID

🎓 Education

Wentao Zhao is currently pursuing a Bachelor of Arts with a double major in Mathematics and Economics at New York University. His academic excellence is reflected in his consistent placement on the Dean’s List from 2021 to 2024, maintaining a GPA of 3.82. Additionally, his role as a Teaching Assistant (TA) for “Intro to Web Design and Computer Principles” highlights his dedication to mentorship and knowledge-sharing. His strong mathematical foundation and analytical skills provide the perfect synergy for his research in artificial intelligence and financial modeling.

💼 Experience

Wentao has gained extensive industry and research experience through multiple roles in data science, financial analytics, and artificial intelligence research. As a Data Scientist Intern at Didi Chuxing, he developed Python-based clustering algorithms and regression models to analyze customer data and optimize retention strategies. His work in A/B testing, customer segmentation, and attribution analysis helped improve customer lifetime value and drive a 79.3% conversion rate in recommendation systems.

At CITIC Securities, he worked as a Divestment Data Analyst Intern, where he built automated financial pipelines, performed equity valuation, and analyzed financial ratios using Python. His work streamlined regulatory compliance and enhanced investment decision-making. Similarly, his internship at China Merchants Securities focused on financial risk assessment, SQL-based data extraction, and portfolio optimization, equipping him with comprehensive insights into asset management and securities analysis.

Beyond his industry roles, Wentao has actively contributed to academic research. His role as a Research Assistant for Speech-Based Alzheimer’s Disease Diagnosis allowed him to integrate deep learning with audio-text processing, improving diagnostic accuracy. His independent research on Netflix’s recommendation system showcased his ability to optimize numerical algorithms for large-scale data efficiency and computation speed.

🔬 Research Interests

Wentao Zhao’s research interests lie at the intersection of AI, finance, and healthcare analytics. He is passionate about developing AI-driven models for business intelligence, predictive analytics, and recommendation systems. His research in machine learning for financial risk assessment focuses on applying quantitative techniques to optimize investment strategies. In addition, his work in speech-based Alzheimer’s diagnostics aims to revolutionize early detection of neurodegenerative diseases using deep learning. His commitment to numerical analysis, high-performance computing, and intelligent decision-making systems underscores his dedication to advancing cutting-edge AI applications.

🏅 Awards & Recognitions

  • Dean’s List (2021-2024) for academic excellence.
  • Top Performer in Data Science Internship at Didi Chuxing.
  • Recognition for Research Contributions in AI-based Alzheimer’s detection.
  • Outstanding Project Award for work on Netflix recommendation optimization.

📚 Selected Publications

  1. A Novel Fatigue Driving Detection Method Based on Whale Optimization and Attention-enhanced GRU 🚗🤖Z. Li, M. Li, L. Shi, D. Li | Intelligence and Robotics, 2024 | 0 Citations
  2. A Finger Vein Liveness Detection System Based on Multi-Scale Spatial-Temporal Map and Light-ViT Model ✋🔍L. Chen, T. Guo, L. Li, W. Luo, Z. Li | Sensors (Switzerland), 2023 | 1 Citation
  3. U-Net-Embedded Gabor Kernel and Coaxial Correction Methods to Dorsal Hand Vein Image Projection System 🖐️📊L. Chen, M. Lv, J. Cai, Z. Guo, Z. Li | Applied Sciences (Switzerland), 2023 | 0 Citations
  4. Analysis and Design of SIMO CPT System with Constant Output Voltage Pickups Against Load Variation and Pickups Moving In/Out ⚡🔌X. Qing, Y. He, Z. Li, Y. Liu, Z. Zhang | No Source Information | 0 Citations

📌 Conclusion

Wentao Zhao is an exceptional candidate for the Best Researcher Award due to his outstanding research contributions, industry experience, and technical expertise. His ability to develop AI-driven solutions for business, finance, and healthcare reflects his versatility and impact in multiple domains. His work in deep learning for Alzheimer’s diagnosis, financial analytics, and recommendation systems showcases both academic rigor and real-world applicability. With a commitment to pioneering innovative AI research, Wentao Zhao is poised to make transformative contributions to the field of intelligent computing and data science. 🚀

Shashank Pasupuleti | Robotics | Best Researcher Award

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Mr. Shashank Pasupuleti | Robotics | Best Researcher Award

Mr. Shashank Pasupuleti | Robotics – Senior Product and Systems Engineer at Capgemini Engineering, United States

Shashank Pasupuleti is an accomplished Mechanical Systems Engineer with significant contributions to the medical device and robotics industries. With a robust background in system design, validation, and risk analysis, Shashank has demonstrated expertise in bridging engineering innovation with industry compliance. His proficiency in model-based systems engineering (MBSE) and various engineering tools has propelled advancements in product development, especially in robotic surgical platforms. Over the years, his contributions have positively influenced patient care through innovative technologies.

Profile Verified

ORCID | Google Scholar

Education

Shashank holds a Master’s degree in Mechanical Systems from the University of North Texas and a Master of Science in Project Management from the University of the Cumberlands. His academic journey began with a Bachelor’s degree in Mechanical Engineering from Jawaharlal Nehru Technological University. These academic achievements laid the foundation for his expertise in mechanical design, project management, and system engineering methodologies.

Experience

Shashank has over seven years of progressive experience in leading-edge projects across globally recognized organizations. As a Senior Product and Systems Engineer at Capgemini Engineering, he spearheaded the development of system engineering models for risk management, system architecture, and validation processes, enhancing project quality and efficiency. His tenure at THINK Surgical as a Senior System Engineer saw him develop TMINI, a miniature surgical robotic platform, significantly improving precision in total knee replacement surgeries. Additionally, at Auris Health Inc. (Johnson & Johnson), Shashank contributed to the development of the Monarch robotic platform, optimizing testing strategies and supporting regulatory approvals. His early career roles at Fresenius Medical Care and GE Healthcare honed his expertise in verification and validation (V&V) strategies and compliance with FDA and ISO standards.

Research Interests

Shashank’s research interests lie at the intersection of robotics, medical devices, and MBSE. He focuses on advancing system integration techniques and enhancing reliability in medical devices. His dedication to innovation in healthcare robotics is evident in his work on surgical platforms, usability studies, and cybersecurity strategies for regulatory compliance. Shashank also actively explores how digital continuity and data-driven design can transform medical device development, making healthcare safer and more effective.

Awards

Shashank has been consistently recognized for his technical acumen and leadership in engineering projects. He was an integral part of teams that achieved successful 510(k) FDA approvals for medical devices such as the Monarch Bronchoscopy System and TMINI robotic platform. His technical presentations, including his work on MBSE advancements at the INCOSE IS 2023 conference, underscore his role as a thought leader in his domain. His contributions have not only driven innovation but also positioned him as a prominent figure in the medical robotics field.

Publications

“Advanced Sensor Technologies in Autonomous Robots: Improving Real-time Decision Making and Environmental Interaction” – Published in International Journal of Innovative Research and Creative Technology, December 2024. Part of ISSN: 2454-5988. 🌐
Cited by: Articles in progress.
“Elevating Systems Engineering Through Digital Transformation for Interconnected Systems” – Published in International Journal of Leading Research Publication, December 2024. Part of ISSN: 2582-8010. 🔗
Cited by: Articles in progress.
“Engineering the Future: Mastering Systems Design and Resilience” – Published by Eliva Press, November 2024. ISBN: 978-99993-2-174-7. 📚
Cited by: Not available.
“Model-Based Systems Engineering (MBSE) in Medical Device Development: Enhancing Efficiency and Quality” – Presented at INCOSE Symposium 2023, July 2023. 🤖
Cited by: Research in progress.
“The Integration of Robotic Systems in Healthcare Infrastructure: Challenges and Solutions” – Published in Scientific Research and Community, April 29, 2022. Part of ISSN: 2755-9866. 🩺
Cited by: 14 articles.
“System Integration Failures and Their Impact on Patient Safety in Critical Care Settings” – Published in International Journal of Scientific Research in Engineering and Management (IJSREM), October 2021. Part of ISSN: 2582-3930. 🛠️
Cited by: 10 articles.
“The Role of Robotic Systems in Minimally Invasive Surgery: Benefits, Risks, and Future Directions” – Published in International Journal of Scientific Research in Engineering and Management (IJSREM), March 2021. Part of ISSN: 2582-3930. 🦾
Cited by: 18 articles.

Conclusion

Shashank Pasupuleti embodies excellence in engineering, with a career that bridges cutting-edge technology and real-world medical applications. His dedication to advancing healthcare robotics and medical device engineering has led to significant industry contributions, including successful FDA approvals and innovative system designs. With a strong focus on research, leadership, and compliance, Shashank continues to push the boundaries of what is possible in the realm of medical technology. His expertise and achievements make him a deserving candidate for the Best Researcher Award, reflecting his impact on the field and the broader community.