Jinpeng Chen | recommendation systems | Best Researcher Award

Assoc Prof Dr. Jinpeng Chen | recommendation systems | Best Researcher Award

Beijing University of Posts & Telecommunications | China

Publication Profile

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Biography of Assoc Prof Dr. Jinpeng Chen 👨‍💻

🎓 Education & Global Experience

Assoc. Prof. Dr. Jinpeng Chen began his academic journey with a Ph.D. in Computer Science from Beihang University (2011–2016). During his doctoral studies, he expanded his research horizons internationally—spending a year as a Visiting Ph.D. scholar at Aalborg University in Denmark (2014–2015), and also working as a Research Assistant at the University of Sydney in Australia (2013–2014). These global experiences laid the foundation for his collaborative and cross-cultural approach to research. 🌍📘

👨‍🏫 Academic Positions

Dr. Chen currently serves as an Associate Professor at the Beijing University of Posts and Telecommunications (BUPT), a position he has held since December 2018. Prior to that, he was an Assistant Professor at BUPT from 2016 to 2018. Over the years, he has been actively involved in teaching, mentoring graduate students, and leading innovative research projects. 🏫🔬

🔬 Research Interests & Projects

His research primarily focuses on Data Mining, Social Network Analysis, Crowdsourcing-based Data Processing, Machine Learning, and Artificial Intelligence. Dr. Chen has led and contributed to numerous high-impact research projects, including the Beijing Natural Science Foundation (2023–2026) and multiple grants from the National Natural Science Foundation of China. He also participated in the National Key R&D Program of China, contributing to the development of algorithms for user profiling, recommendations, traffic analysis, and intelligent marketing. 📊🤖

🧠 Academic Service & Community Contribution

Dr. Chen is a dedicated member of the global research community. He has served as a reviewer for prestigious journals such as ACM TOIS, TKDD, IEEE TNNLS, IEEE TFS, and TCC, among others. He is also a frequent external reviewer and program committee member for leading conferences like KDD, WWW, DASFAA, IJCAI, and BigData. His expert insights and evaluations have helped maintain the high standards of academic publishing. 📝🌐

🎤 Talks & Presentations

As a recognized thought leader in his field, Dr. Chen has been invited to speak at major academic events. Notable presentations include his talk at the KDD China 2023 Summer School on “Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding”, and his keynote at ICAIBD 2023 on “Sequential Intention-aware Recommender based on User Interaction Graph”. He has also shared his research at CGCM 2014 and during a special invitation to the School of Information Technologies at the University of Sydney. 🗣️📢

🚀 Impact & Vision

Assoc. Prof. Dr. Jinpeng Chen continues to drive innovation at the intersection of data science and artificial intelligence. His research not only contributes to academic advancement but also influences real-world applications in technology, business, and social platforms. With a passion for AI and a strong foundation in collaborative research, he is shaping the future of intelligent systems, one algorithm at a time. 🌟📈

📚 Top Notes Publications

Title: Automatic tagging by leveraging visual and annotated features in social media

Authors: J. Chen, P. Ying, X. Fu, X. Luo, H. Guan, K. Wei
Journal: IEEE Transactions on Multimedia
Year: 2021

Title: Inferring tag co-occurrence relationship across heterogeneous social networks

Authors: J. Chen, Y. Liu, G. Yang, M. Zou
Journal: Applied Soft Computing
Year: 2018

Title: Sequential intention-aware recommender based on user interaction graph

Authors: J. Chen, Y. Cao, F. Zhang, P. Sun, K. Wei
Journal: Proceedings of the 2022 International Conference on Multimedia Retrieval
Year: 2022

Title: From tie strength to function: Home location estimation in social network

Authors: J. Chen, Y. Liu, M. Zou
Journal: 2014 IEEE Computers, Communications and IT Applications Conference
Year: 2014

Title: FePN: A robust feature purification network to defend against adversarial examples

Authors: D. Cao, K. Wei, Y. Wu, J. Zhang, B. Feng, J. Chen
Journal: Computers & Security
Year: 2023

Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

Assoc Prof Dr. Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

VIT, Vellore | India

Publication Profile

Orcid

ASSOC PROF DR. SHANKAR RAMAN DHANUSHKODI – A LEGACY IN CLEAN ENERGY RESEARCH AND EDUCATION ⚡🌍

INTRODUCTION 🌟

Assoc Prof Dr. Shankar Raman Dhanushkodi is a distinguished academic and researcher currently serving as an Associate Professor at the Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. With more than two decades of experience, he has made significant contributions to the field of clean energy, specifically in fuel cell technology, electrolyzers, and the application of machine learning in energy systems. Dr. Dhanushkodi’s journey is marked by a blend of research excellence, academic contributions, and industry collaboration that continues to shape the future of energy solutions.

EARLY ACADEMIC PURSUITS 🎓

Dr. Dhanushkodi’s academic journey began in India, where he completed his Bachelor’s in Chemical Engineering from Alagappa College of Technology, Anna University, Tamil Nadu. He further pursued his Master’s in Process Systems Engineering at the University of Regina, Canada, and his Doctor of Philosophy in Chemical Engineering at the University of Waterloo, Canada. His academic foundation laid the groundwork for his pioneering research in electrochemical systems and fuel cell technologies.

PROFESSIONAL ENDEAVORS 💼

Dr. Dhanushkodi has held numerous prestigious positions across various academic and research institutions. His professional journey spans across countries, including India, Canada, and Germany. As an Associate Professor at VIT, he leads cutting-edge research in hydrogen technologies, focusing on fuel cells and electrolyzers. Additionally, he has served as a research consultant, postdoctoral fellow, and even founded his consulting company, Gandhi Energy Storage Systems and Solutions.

CONTRIBUTIONS AND RESEARCH FOCUS ON Green electrolysis 🔬

Dr. Dhanushkodi’s research expertise covers a wide range of areas such as electro-catalysis, membrane testing, fuel cell components, and the development of AI algorithms for chemical systems. His work in clean energy technologies is critical in advancing the efficiency and sustainability of energy systems. As a leading researcher, he has collaborated on global projects involving fuel cells and electrolyzers, while also contributing significantly to the development of diagnostic tools for electrochemical systems.

IMPACT AND INFLUENCE 🌍

Through his research and teaching, Dr. Dhanushkodi has not only contributed to the academic community but also impacted the global energy industry. His research has influenced the design and performance of fuel cells, electrolyzers, and other energy storage systems, helping to accelerate the transition to clean and sustainable energy sources. His collaborations with international institutions and industries have further reinforced his impact.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Dhanushkodi has authored over 15 publications in peer-reviewed journals, contributing to the advancement of knowledge in clean energy technologies and industrial ecology. His work is widely cited in the academic community, underlining the significance and relevance of his research. His focus on developing diagnostic tools for energy systems, particularly for PEM fuel cells and electrolyzers, continues to be a key area of innovation.

HONORS & AWARDS 🏆

Dr. Dhanushkodi’s excellence in research has been recognized through numerous awards and honors, including:

  • Raman Research Award for the paper in desalination and water treatment (2023)
  • Best Paper Award at the International Conference on Art, Education, and Business (2021)
  • Mrs. Chinnamaul Memorial Prize for the Best Technical Paper at CHEMCON (2021)
  • Outstanding Reviewer, Journal of Power Sources (2018)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Dhanushkodi’s work is far from over. As he continues to mentor young engineers at VIT and collaborate on international research projects, his legacy will undoubtedly inspire future generations. His ongoing research in fuel cell technology, electrolyzers, and machine learning applications in chemical engineering promises to yield groundbreaking solutions to the world’s energy needs. The future of clean energy is brighter, thanks to his vision and dedication.

FINAL NOTE 📌

Dr. Shankar Raman Dhanushkodi is not just a researcher; he is a mentor and a leader in the field of clean energy. His commitment to advancing energy systems and empowering the next generation of engineers and researchers has left an indelible mark on academia and industry alike. His contributions continue to inspire a future where sustainable energy solutions play a pivotal role in addressing global energy challenges.

 TOP NOTES PUBLICATIONS 📚

Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers
    • Authors: Jaydev Zaveri; Shankar Raman Dhanushkodi; Michael W. Fowler; Brant A. Peppley; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2025
Machine Learning Framework for the Methyl Chloride Production Process
    • Authors: School of Mechanical Engineering, Vellore Institute of Technology; R. Gollangi; K. NagamalleswaraRao; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; S. R. Dhanushkodi; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; N. Mahinpey; Department of Chemical and Petroleum Engineering, University of Calgary
    • Journal: Journal of Environmental Informatics Letters
    • Year: 2024
Development of Semi-Empirical and Machine Learning Models for Photoelectrochemical Cells
    • Authors: Niranjan Sunderraj; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Bohdan Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Energies
    • Year: 2024
Development of Semi Empirical and Machine Learning Models for Photo-Electrochemical Cells
    • Authors: Niranjan Sunderraj; S.R. Dhanushkodi; Ramesh Kumar Chidambaram; B. Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Preprint
    • Year: 2024
Design and Manufacturing Challenges in PEMFC Flow Fields—A Review
    • Authors: Prithvi Raj Pedapati; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2024

 

Zuleika Suliman | Artificial Intelligence | Best Researcher Award

Ms. Zuleika Suliman | Artificial Intelligence | Best Researcher Award

University of South Africa | South Africa

BIOGRAPHY OF MS. ZULEIKA SULIMAN 📚👩‍🏫

INTRODUCTION

Ms. Zuleika Suliman is a dynamic and passionate educator, deeply committed to enhancing the learning experience through innovative teaching strategies, student-centered approaches, and cutting-edge technology. She holds an MA in English Studies from the University of South Africa (UNISA), where she also completed a wide array of specialized training programs. Ms. Suliman’s career in academia spans over a decade, marked by her significant contributions to teaching, research, and student mentorship in the fields of English studies, education, and e-learning.

EARLY ACADEMIC PURSUITS 🎓

Ms. Suliman’s academic journey began at the University of Pretoria, where she earned her Bachelor’s Degree in English Studies, specializing in Arabic, Journalism, TESOL, and Language Editing. Building on her academic foundation, she later pursued her Honours Degree in English Literature and Language at the University of South Africa (UNISA), culminating in her current studies for a Master’s Degree in English Studies, which she is set to complete in 2025. Her early years were marked by a fervent passion for education, as she excelled in mathematics, science, Arabic, and language arts during her school years at Pretoria Muslim School.

PROFESSIONAL ENDEAVORS 🏫

Ms. Suliman’s professional career includes her current role as a Junior Lecturer at UNISA, where she not only teaches various English courses but also leads several significant academic projects, including an AI research initiative with publications. She has a proven track record of success, managing large groups of students—over 5000 students for first-year courses and 600 for postgraduate modules. Her role as a mentor, editor of departmental newspapers, and active member of various academic committees showcases her dedication to the academic community.

Ms. Suliman has a vast experience with the development of curriculum materials, tutorials, assessments, and online resources for her students. Her efforts extend beyond traditional teaching to creating dynamic, virtual learning environments using tools like Microsoft Teams, Moodle, podcasts, and other digital resources.

CONTRIBUTIONS AND RESEARCH FOCUS ON  ARTIFICIAL INTELLIGENCE🔬

Her research focuses on exploring innovative e-learning strategies to improve workplace English competence, specifically within Open Distance and eLearning (ODeL) environments in South Africa. As she continues her PhD in Applied English Language Studies, her research aims to influence the way online education is delivered, providing valuable insights into student engagement, experience, and learning outcomes in digital learning platforms.

Her contributions to education include mentoring research projects, supporting student academic progress, and reviewing journal articles. She has been instrumental in shaping programs that improve student retention and success in online learning contexts.

IMPACT AND INFLUENCE 🌍

Ms. Suliman’s student-centered approach and focus on leveraging e-learning technologies have significantly impacted her students’ educational journeys. Through her development of online content, tutorials, livestream sessions, and the creation of interactive learning experiences, she has enhanced student engagement, knowledge retention, and overall academic success. She promotes collaboration, teamwork, and open communication, both with her students and peers.

Her mentorship extends to various projects, including the Can Themba Festival and a student support initiative, where she has worked tirelessly to promote student well-being, academic excellence, and career development.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Ms. Suliman has contributed to the academic community with numerous research papers and publications. Her research on the integration of AI in education and its impact on student performance has been well-received in both academic circles and professional networks. She continues to collaborate with colleagues to publish findings and present at academic conferences, focusing on the advancement of educational methodologies in the 21st century.

HONORS & AWARDS 🏆

Ms. Suliman’s achievements have not gone unnoticed. She has received several accolades throughout her career, including:

  • Scholarship Program at the University of Pretoria for the BSc undergraduate course “Up with Science” Program.
  • Mont Blanc Award for Writing – Explorer Program in Literature.
  • Sunday Times Rising Star Achievement – Youth Development.
  • Graduate of the Mentorship Program at UNISA.

Her passion and dedication to her work have earned her recognition within both the academic and professional realms.

FINAL NOTE 📝

As a trailblazer in the field of education, Ms. Zuleika Suliman continues to inspire and impact the lives of countless students. Her journey, from a young learner to an accomplished academic, reflects her unwavering commitment to education. Through her innovative teaching methods, research, and mentoring, she is shaping the future of education in South Africa and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Looking ahead, Ms. Suliman is determined to leave a lasting legacy in the field of education by further enhancing online learning strategies, improving digital literacy, and fostering a global academic community that is both inclusive and engaging. Her future contributions will continue to focus on research in applied English language studies, the integration of technology in education, and the development of future generations of learners and educators.

TOP NOTES PUBLICATIONS 📚

Advancing students’ academic excellence in distance education: Exploring the potential of generative AI integration to improve academic writing skills
    • Authors: KB Maphoto, K Sevnarayan, NE Mohale, Z Suliman, TJ Ntsopi
    • Journal: Open Praxis
    • Year: 2024
Continuing professional development (CPD): a necessary component in the workplace or not?
    • Authors: Z Suliman, W Kruger, JA Pienaar
    • Journal: The Journal of Medical Laboratory Science and Technology of South Africa
    • Year: 2020
The interconnectedness between Ubuntu principles and generative artificial intelligence in distance higher education institutions
    • Authors: Z Suliman, NE Mohale, KB Maphoto, K Sevnarayan
    • Journal: Discover Education
    • Year: 2024
Exploring the Impact of E-Learning Strategies on Enhancing Workplace English Competence at an Open Distance E-Learning (ODeL) University in South Africa
    • Authors: KB Maphoto, Z Suliman
    • Journal: Research in Social Sciences and Technology
    • Year: 2024
Artificial intelligence or augmented intelligence? Experiences of lecturers and students in an ODeL university
    • Authors: NE Mohale, Z Suliman, K Maphoto, K Sevnarayan, D Mokoena, TJ Ntsopi
    • Journal: Acitya: Journal of Teaching and Education
    • Year: 2024
The Nexus of Business English and the Fourth Industrial Revolution: Leveraging Moodle’s Potential to Augment Lecturers’ Pedagogies for Student Support
    • Authors: K Sevnarayan, Z Suliman
    • Journal: Scrutiny2
    • Year: 2024