Dr. Christopher Prashad | Innovative Leadership | Best Researcher Award | 3428

Published on by Leadership and Management

Dr. Christopher Prashad | Innovative Leadership | Best Researcher Award

York University, Canada

Profile

Orcid

Early Academic Pursuits

Christopher Prashad’s academic journey demonstrates a robust foundation in mathematics, statistics, and data science, making him a promising researcher in the interdisciplinary field of public health and data science. He began his academic career at the University of Toronto, where he completed his BSc in Mathematics and Chemistry, with a focus on the chromatic adaptation of cryptophytes. This early exposure to scientific research in both theoretical and applied mathematics laid the groundwork for his future academic and professional pursuits. His interest in statistical analysis, mathematical modeling, and data-driven solutions was cultivated further during his time at the York University, where he pursued his MA in Mathematics and Statistics with a specialization in Theoretical and Applied Statistics. Here, he honed his skills in areas such as stochastic simulation, time series analysis, and covariance estimation.

Building upon these strong academic credentials, Christopher continued his studies at York University, where he is currently a Ph.D. candidate specializing in Data Science for Public Health. His work integrates quantitative analysis with real-world public health challenges, combining advanced mathematical techniques with the pressing needs of healthcare systems.

Professional Endeavors

Christopher has built a strong professional foundation through his role as a Mathematics for Public Health Researcher at the Fields Centre for Quantitative Analysis and Modelling at York University, working in collaboration with Sanofi. This position has provided him with the opportunity to leverage his expertise in advanced quantitative analysis, time series analysis, and machine learning to solve complex public health issues. His work spans a wide range of applications, from observational data analysis to the development of probabilistic models for forecasting and decision-making in public health.

Additionally, he has taken on leadership roles in academic and professional settings. At the Schulich School of Business, he led a graduate student team on a financial derivatives project, showcasing his ability to manage projects and foster collaboration in highly technical and challenging environments. These experiences reflect Christopher’s commitment to integrating theoretical knowledge with practical solutions across different sectors.

Contributions and Research Focus

Christopher’s research focus lies at the intersection of data science and public health, with a particular emphasis on applying advanced quantitative methodologies to enhance public health decision-making. His work in probabilistic programming, machine learning, and multivariate statistics allows him to extract actionable insights from large, complex datasets, which are critical in the realm of public health. By combining time series analysis with stochastic simulation, he has been able to develop models that predict disease trends, optimize resource allocation, and improve healthcare outcomes.

His contributions to the field of data science for public health are designed not only to advance academic understanding but also to provide real-world solutions to pressing healthcare challenges. Christopher’s research has the potential to improve public health policies by integrating statistical modeling and machine learning techniques to better manage health crises and resource distribution.

Accolades and Recognition

Christopher Prashad has received several accolades and recognitions throughout his academic and professional journey. His Ph.D. candidacy in Mathematics and Statistics at York University, combined with his specialization in Data Science for Public Health, highlights his rigorous academic achievements. He also participated in the MicroMasters Program in Finance at MIT Sloan School of Management, where he further developed his financial acumen and understanding of global financial systems, particularly useful in analyzing the economics of public health initiatives.

His leadership role at the Schulich School of Business in a team of graduate students on a financial derivatives project further underscores his capability to manage and lead research initiatives. These recognitions reflect Christopher’s potential to significantly impact both academia and industry.

Impact and Influence

Christopher’s work has had a growing impact on both the academic and professional communities. By utilizing sophisticated statistical tools and machine learning algorithms, he has contributed to advancing knowledge in data science, with a specific focus on enhancing public health decision-making. His research is poised to influence public health policy, helping organizations navigate complex public health challenges through more informed, data-driven decisions.

Christopher’s collaborative approach and ability to explain complex technical concepts in simple terms have made him a valuable asset in interdisciplinary settings. He continues to build positive relationships with cross-functional teams, making his work accessible and impactful in diverse fields.

Legacy and Future Contributions

As Christopher Prashad continues his Ph.D. studies and develops his career, his legacy will likely be one of integration between advanced quantitative research and practical applications in public health. His ability to bridge the gap between data science, mathematics, and healthcare systems positions him as a future leader in the field.

In the future, Christopher is expected to expand his research focus into emerging areas such as AI-driven healthcare analytics, predictive health systems, and big data integration for public health management. His potential to influence policy, improve healthcare systems, and contribute to global health initiatives is immense, and his future work will likely have a lasting impact on both public health and data science industries.

With his solid academic foundation, leadership skills, and ability to apply complex methodologies to real-world problems, Christopher Prashad is poised to be a key player in the field of data science for public health, contributing significantly to the evolution of healthcare decision-making.

📝Notable Publications

State-space modelling for infectious disease surveillance data: Dynamic regression and covariance analysis

Authors: Christopher D. Prashad

Journal: Infectious Disease Modelling

Year: 2024

 

Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Published on by Leadership and Management

Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Tshwane University of Technology, South Africa

Profile 

Google Scholar

🌱 Early Academic Pursuits

Christine Bukola Asaju embarked on her journey in computer science with a solid foundation. She completed her Bachelor of Science in Computer Science (B.Sc.) at the University of Ilorin, Kwara State, Nigeria, in 2002. Her project, “Automating an Inventory System,” demonstrated her early interest in problem-solving through technology, as she applied automation to a case study on the Global Soaps and Detergent Industry. Driven by an enthusiasm for knowledge and understanding, Christine continued her studies, earning a Postgraduate Diploma in Education in 2008 from the University of Ado-Ekiti, Ekiti State, Nigeria. Her project focused on exploring the social and moral impacts of issues like women trafficking, highlighting her awareness of societal concerns and the role of education in addressing them. This interdisciplinary background enriched her perspective and laid the groundwork for her future contributions to e-learning.

👩‍🏫 Professional Endeavors

Christine currently serves in the Department of Computer Science at the Federal Polytechnic, Idah, Kogi State, Nigeria. With a career rooted in academic excellence, she finds fulfillment in sharing her insights with others to foster learning and development in computer science. Her ability to convey complex concepts has not only made her an invaluable educator but also a communicator within the scientific community. As a dedicated faculty member, Christine has taken on the role of a mentor and collaborator, always encouraging students and colleagues alike to expand their understanding and drive innovation within the field.

🔍 Contributions and Research Focus

Christine’s academic journey reached a new pinnacle when she earned her Ph.D. in Computer Science from the University of the Witwatersrand in Johannesburg, South Africa, in 2023. Her doctoral research, “Spatio-Temporal Reasoning for Estimating Student’s Learning Affect: An Approach to Strengthen E-Learning,” delves into using machine learning techniques to enhance online learning experiences by better understanding student emotions and engagement. This innovative work addresses the growing need for effective digital learning platforms that adapt to individual student needs, a key area of focus in modern educational technology. Guided by her advisor, Professor Hima Vadapalli, Christine’s research stands at the intersection of machine learning and education, contributing significantly to the advancement of e-learning methodologies.

In addition, Christine’s Master of Science (M.Sc.) in Computer Science, completed in 2010 at the University of Ilorin, reflects her early inclination toward applied computer science research. Her thesis on “Development of an Automatic Yoruba Speech Recognition System” aimed at improving accessibility and preserving linguistic heritage through technology. This project, supervised by Professor T.S. Ibiyemi, underscores her commitment to applying technological solutions to real-world challenges, particularly those that impact underrepresented communities.

🏆 Accolades and Recognition

Christine’s dedication to academic excellence and impactful research has been recognized by her peers and the broader academic community. She has an ORCID Research ID (0000-0003-2728-6806) and an active profile on Google Scholar, where her work is accessible to a global audience, allowing her contributions to reach researchers, educators, and students worldwide. Christine’s scholarly achievements and her focus on innovative solutions in computer science have made her a respected figure in her field, especially in Africa, where her work on e-learning holds significant relevance.

🌍 Impact and Influence

Christine’s contributions extend beyond research and teaching. She actively seeks to bridge the gap between academia and society, using her knowledge and communication skills to engage with both scientific and general audiences. Her work, particularly in machine learning applications for e-learning, has had a profound impact on improving educational systems by making them more accessible, adaptive, and effective. Her commitment to research has positively influenced the computer science community, inspiring others to pursue impactful work that addresses real-world challenges.

Christine is also a proud advocate for knowledge-sharing and collaboration, which she views as essential for advancing the scientific community. Her teaching philosophy centers on fostering a love of learning and curiosity among her students. By instilling in them the importance of lifelong learning and critical thinking, Christine has created a ripple effect, nurturing future generations of computer scientists who will carry forward her legacy of innovation and dedication to societal betterment.

🌟 Legacy and Future Contributions

Looking ahead, Christine aims to continue making meaningful contributions to the field of computer science, particularly in the areas of machine learning, educational technology, and social impact research. She envisions further research that will not only deepen understanding in these fields but also generate practical solutions for educational institutions worldwide. With a clear focus on tackling emerging societal issues, Christine aspires to explore how advancements in artificial intelligence and machine learning can be harnessed to address diverse challenges in education, such as accessibility, engagement, and personalized learning.

As Christine pursues these goals, her work will undoubtedly leave a lasting impact on the fields of computer science and education. Her journey from an undergraduate student to an accomplished researcher and educator is a testament to her resilience, dedication, and passion for knowledge. Christine Bukola Asaju’s legacy will likely inspire many, proving that with commitment and a focus on meaningful research, one can make substantial contributions that benefit both academia and society at large.

 📝Notable Publications

 A Temporal Approach to Facial Emotion Expression Recognition

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Southern African Conference for Artificial Intelligence Research
Year: 2021

Affects Analysis: A Temporal Approach to Estimate Students’ Learning

Authors: Christine Bukola Asaju, Hima Vadapalli
Journal/Conference: 2021 3rd International Multidisciplinary Information Technology and Applications Conference
Year: 2021

Short Message Service (SMS) Spam Detection and Classification Using Naïve Bayes

Authors: Christine Bukola Asaju, E.J. Nkorabon, R.O. Orah
Journal/Conference: Conference Organizing Committee
Year: 2021

Development of a Machine Learning Model for Detecting and Classifying Ransomware

Authors: Christine Bukola Asaju, D. Otoo-Arthur, R.O. Orah, F. Sekyi-Dadson
Journal/Conference: 2021 1st International Conference on Multidisciplinary Engineering and Technology
Year: 2021

 Affect Analysis: A Literature Survey on Student-Specific and General Users’ Affect Analysis

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Science and Information Conference
Year: 2024

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award | 3184

Published on by Leadership and Management

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award

Mahidol University, Thailand 

Profile 

Google Scholar 

Early Academic Pursuits 🎓

Dr. Tipajin Thaipisutikul’s academic journey began at Mahidol University, Thailand, where he earned his Bachelor of Science in Information and Communication Technology in 2010 with First Class Honours. His senior project, “VAPO,” a Voice Activated Personal Organizer, showcased his early interest in innovative technology and garnered significant attention. He continued his studies at The University of Sydney, Australia, completing a Master of Information Technology in 2012, specializing in Computer Networks. His thesis, “mSpeed,” involved crowdsourcing measurements on cellular networks, reflecting his growing expertise in data collection and analysis.

Dr. Thaipisutikul’s pursuit of excellence led him to National Central University, Taiwan, where he earned his Ph.D. in Computer Science in 2021. His doctoral research, “A Novel Deep Sequential Recommendation Model Based on Contextual Information,” explored deep learning models for recommendation systems, setting the stage for his future contributions to the field of artificial intelligence.

Professional Endeavors 🌟

Dr. Thaipisutikul has made substantial strides in academia and industry. As the Assistant Dean for Academic Services and Technology Transfer at Mahidol University’s Faculty of ICT, he has been instrumental in advancing educational programs and fostering technology transfer initiatives. His role involves instructing a variety of courses, including Advanced Programming and the Fundamentals of Programming in Python and C.

His career also includes significant teaching and research roles at Yuan Ze University in Taiwan and various faculties within Mahidol University. Dr. Thaipisutikul has provided guest lectures on cutting-edge topics such as Generative AI and Deep Learning, further establishing his reputation as a thought leader in the field.

Contributions and Research Focus 🔬

Dr. Thaipisutikul’s research focus encompasses Sequence Learning, Deep Learning, Applied Intelligence, and Recommender Systems. His work has led to several influential publications in prestigious journals, including:

  • “Automatic Detection of Nostril and Key Markers in Images” (2024) in Intelligent Systems with Applications.
  • “Forecasting National-Level Self-Harm Trends with Social Networks” (2023) in IEEE Access.
  • “Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)” (2023) in Multimedia Tools and Applications.
  • “An Improved Deep Sequential Model for Context-Aware POI Recommendation” (2023) in Multimedia Tools and Applications.

Dr. Thaipisutikul’s research integrates deep learning techniques with practical applications, significantly advancing the capabilities of recommendation systems and contextual information processing.

Accolades and Recognition 🏆

Dr. Thaipisutikul’s contributions have been recognized through numerous awards:

  • Best Paper Award at The 5th International Conference on Information Technology (2020) for “HandKey: An Efficient Hand Typing Recognition Using CNN for Virtual Keyboard.”
  • Excellent Paper Award and Best Paper Award at the International Conference on Ubi-Media Computing (2018, 2019).
  • Best Presentation Award at the 10th International Workshop on Advanced E-Learning (2017).

These accolades reflect his impact on the field and his ability to contribute innovative solutions to complex problems.

Impact and Influence 🌐

Dr. Thaipisutikul’s work has made significant impacts on both academic and practical fronts. His research has advanced the state-of-the-art in deep learning and recommendation systems, influencing how intelligent systems are developed and applied in various industries. His teaching and training initiatives, including specialized courses on Python Programming and AI, have equipped students and professionals with the skills needed to excel in a rapidly evolving technological landscape.

Legacy and Future Contributions 🌟

Looking forward, Dr. Thaipisutikul aims to further his research in sequence learning and deep learning applications, exploring new frontiers in artificial intelligence and machine learning. His ongoing projects and collaborations are expected to yield innovative solutions and contribute to the advancement of technology in diverse fields.

His legacy is marked by a commitment to academic excellence, innovation, and the application of advanced technologies to solve real-world problems. As he continues to mentor the next generation of researchers and professionals, Dr. Thaipisutikul’s influence on the field of computer science and information technology is poised to grow, shaping the future of artificial intelligence and applied intelligence.

Notable Publications 

“A collaborative filtering recommendation system with dynamic time decay”

Authors: YC Chen, L Hui, T Thaipisutikul

Journal: The Journal of Supercomputing

Volume: 77

Issue: 1

Pages: 244-262

Year: 2020

“A Learning-Based POI Recommendation With Spatiotemporal Context Awareness”

Authors: YC Chen, T Thaipisutikul, TK Shih

Journal: IEEE Transactions on Cybernetics

Volume: 46

Issue: 5

Pages: 1185-1196

Year: 2020

“Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification”

Authors: YN Chen, T Thaipisutikul, CC Han, TJ Liu, KC Fan

Journal: Remote Sensing

Volume: 13

Issue: 1

Pages: 130

Year: 2021

“DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction”

Authors: S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, …

Journal: Financial Innovation

Volume: 7

Issue: 1

Pages: 1-32

Year: 2021

“MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data”

Authors: I Jamaluddin, T Thaipisutikul, YN Chen, CH Chuang, CL Hu

Journal: Remote Sensing

Volume: 13

Issue: 24

Pages: 5042

Year: 2021