Ramadas Narayanan | Energy and Utilities Analytics | Best Researcher Award

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Dr. Ramadas Narayanan | Energy and Utilities Analytics | Best Researcher Award

CQ University Australia | Australia

Profile Verified

Orcid | Scopus | Google Scholar

👤 Summary

Dr. Ramadas Narayanan is an accomplished mechanical engineer, academic, and researcher with over 25 years of international experience across Australia, India, and Malaysia. Currently serving as Senior Lecturer and Discipline Leader in Mechanical Engineering at Central Queensland University (CQU), he specializes in clean energy systems, solar-assisted cooling technologies, and agricultural mechanisation. His extensive contributions to research, teaching, and professional development have been recognized with prestigious awards, fellowships, and over $4.75 million in competitive grant funding.

🎓 Education

Dr. Narayanan holds a PhD in Mechanical Engineering from the University of South Australia (2012), where he also earned a Graduate Certificate in Research Commercialization. He has a Graduate Certificate in Tertiary Teaching with High Distinction from Curtin University (2007), a Master of Technology (First Class Honours) in Mechanical Engineering (1996), and a Bachelor of Technology in Mechanical Engineering (1992), both from the University of Kerala, India.

💼 Professional Experience

Dr. Narayanan has held multiple leadership and academic roles. He is currently the Discipline Leader and Senior Lecturer in Mechanical Engineering at CQU Bundaberg (2023–present). He previously led the Engineering Mobility Program (2021–2023) and the Clean Energy Cluster (2014–2020). He also serves as Adjunct Senior Research Fellow at the University of South Australia’s Barbara Hardy Institute since 2014. Earlier roles include Energy Project Officer at the South Australian Government’s DIMTRE and various academic positions at UniSA since 2008.

🏅 Academic Achievements & Recognitions

Dr. Narayanan is a recipient of the Australian Award for University Teaching (AAUT) in 2021 and the Vice Chancellor’s Awards for Outstanding Contributions to Teaching at CQU. He is a Senior Fellow of the UK Higher Education Academy (2022) and has won several accolades for research including the AIRAH Award for Refrigeration & Air-conditioning Research Excellence. He was also the winner of UniSA’s 3-Minute Thesis Competition in 2011.

📚 Teaching Experience

With a teaching career spanning over 15 years, Dr. Narayanan has delivered core mechanical engineering units such as Thermodynamics, Fluid Mechanics, Engineering Dynamics, and Energy Conversion. He is well-known for his engaging teaching style and has received multiple student-nominated teaching awards, demonstrating his commitment to high-quality education and mentorship.

🔬 Research Interests

His research interests include solar-assisted and desiccant-based cooling systems, energy-efficient building technologies, sustainable mechanical design, agricultural mechanisation, and clean energy systems. He has successfully designed innovative desiccant wheels and participated in global research efforts focused on renewable energy and sustainability.

🛠️ Technical Skills

Dr. Narayanan has advanced expertise in thermal systems modeling and simulation using ANSYS, MATLAB, and TRNSYS. He is proficient in the design of HVAC systems, post-harvest agricultural equipment, and experimental thermal testing. He is also experienced in research commercialization and cross-disciplinary innovation.

🔍 Research Grants

He has led and contributed to major research initiatives totaling over $4.75 million in funding. Notable projects include the National Sesame Mechanisation Program ($2M), the Great Northern Spices CRCNA Project ($2.5M), and multiple CSIRO and KFAS-funded clean energy and solar cooling projects. He often serves as the Lead or Theme Leader in these multi-institutional collaborations.

🌐 Professional Affiliations

Dr. Narayanan has served as Chair of Engineers Australia’s Bundaberg Regional Committee (2018–2020) and is a member of AIRAH’s Solar Cooling group. He holds editorial roles in several international journals including Sustainability (MDPI) and Building and Environment (Elsevier). He is an active contributor to REN21, a global renewable energy policy network.

📚 Selected Publication

 Heat Pumps with Smart Control in Managing Australian Residential Electrical Load during Transition to Net Zero Emissions

    • Authors: Adrian Rapucha, Ramadas Narayanan, Meena Jha

    • Journal: Energies

    • Year: 2024

 Implementing Cool Roof and Bio-PCM in Portable Cabins to Create Low-Energy Buildings Suitable for Different Climates

    • Authors: Ahmad Sedaghat, Arash Mahdizadeh, Ramadas Narayanan, Hayder Salem, Wisam K. Hussam, Mohamad Iyad Al-Khiami, Mahdi Ashtian Malayer, Sayed M. Soleimani, Mohammad Sabati, Mohammad Rasul

    • Journal: Sustainability

    • Year: 2023

 Energy and Comfort Evaluation of Fresh Air-Based Hybrid Cooling System in Hot and Humid Climates

    • Authors: Ramadas Narayanan, Subbu Sethuvenkatraman, Roberto Pippia

    • Journal: Energies

    • Year: 2022

 Food waste as a source of sustainable energy: Technical, economical, environmental and regulatory feasibility analysis

    • Authors: Ramadas Narayanan

    • Journal: Renewable and Sustainable Energy Reviews

    • Year: 2022

Comparative study of thermal degradation kinetics of two woody biomass samples for bio-oil production

    • Authors: Ramadas Narayanan

    • Journal: Sustainable Energy Technologies and Assessments

    • Year: 2022

 

Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award

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Mr. Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award

Complutense University of Madrid | Spain

Publication Profile

Orcid

📘 Education & Experience

Arnobio Palacios Gutiérrez is a dedicated academic and researcher with a strong interdisciplinary background in mathematics, physics, and statistics. He earned his Bachelor’s degree in Mathematics and Physics from the Technological University of Chocó (Colombia), followed by a Master’s degree in Engineering Data Analysis, Process Improvement, and Decision-Making from the Polytechnic University of Valencia (Spain). Currently, he is pursuing a PhD in Data Analysis at the Complutense University of Madrid, focusing on climate change pattern recognition through time series clustering. With over a decade of professional experience, Arnobio has served as a university professor and researcher at UTCH, contributing significantly to curriculum design, institutional planning, and data-driven development initiatives.

✅ Suitability Summary

Arnobio combines academic rigor with practical field experience, making him highly suitable for roles in data science, research, and public policy innovation. His ability to model complex problems, analyze multidimensional data, and generate decision-support frameworks positions him as a valuable asset in both academic and applied research contexts. His teaching portfolio includes courses in calculus, differential equations, physics, and advanced statistics, complemented by experience in strategic planning, consulting, and public innovation at the national level in Colombia. He is a collaborative leader who thrives in multidisciplinary environments and maintains a strong commitment to social impact and educational excellence.

🎓 Professional Development

Throughout his career, Arnobio has pursued continuous professional growth. He was awarded the prestigious Young Researcher Fellowship by the Colombian Ministry of Science and actively engages in national development projects. His technical proficiency includes R programming, database management, statistical analysis, and scientific writing. As a consultant and planner, he has developed strategic indicators and improvement plans for institutions and contributed to the design of public innovation strategies. His leadership in academia and his ability to manage complex projects reflect his organizational and analytical strengths.

🔬 Research Focus

Arnobio’s research centers on the development of new methodologies for identifying climate change patterns using time series clustering with dimensionality reduction techniques. His doctoral work aims to enhance understanding of environmental change through data science, while his Master’s thesis applied multivariate analysis to explore socio-demographic and development indicators across more than a thousand Colombian municipalities. His interests extend to public sector innovation, production systems management, and biodiversity valuation—areas where he integrates statistical modeling with sustainable development goals.

🏆 Honors & Awards

Among Arnobio’s recognitions is the Young Researcher Award from the Colombian Ministry of Science, highlighting his early promise in scientific investigation. He has also been honored as a Multiplier Leader by Future Colombia for his active role in social initiatives and cultural heritage projects. His leadership in regional innovation, environmental analysis, and educational advancement continues to shape policy and academic discussions both in Colombia and internationally.

📚 Top Notes Publication

Title: Quantifying Impact of Geographical Variables on Climate Change Patterns over Spain by Time Series Clustering

    • Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta

    • Journal: Earth Systems and Environment

    • Year: 2025

Title: Identification of extreme temperature and precipitation patterns in Spain based on multiscale analysis of time series

    • Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta

    • Journal: Natural Hazards

    • Year: 2025

Title: Time series clustering using trend, seasonal and autoregressive components to identify maximum temperature patterns in the Iberian Peninsula

    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa; María Villeta López

    • Journal: Environmental and Ecological Statistics

    • Year: 2023

Title: Identification of precipitation and maximum temperature patterns in Spain during 1951 to 2021 using clustering based on multiscale analysis of time series

    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa

    • Journal: Preprint (EGU General Assembly)

    • Year: 2023

Title: Time Series Clustering using Trend, Seasonal and Autoregressive Components: Patterns of Change of Maximum Temperature in Iberian Peninsula

    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa

    • Journal: Publications of the Institute of Geophysics, Polish Academy of Sciences; Geophysical Data Bases, Processing and Instrumentation

    • Year: 2022

Jinpeng Chen | recommendation systems | Best Researcher Award

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

Beijing University of Posts & Telecommunications | China

Publication Profile

Google Scholar

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