Benjamin Teo | Materials Science and Engineering | Best Researcher Award

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Dr. Benjamin Teo | Materials Science and Engineering | Best Researcher Award

UKRI Postdoctoral Fellow at Imperial College London, United Kingdom

Dr. Benjamin H. W. Teo is an accomplished researcher in the fields of adsorption science and engineering, metal-organic frameworks, renewable energy technology, additive manufacturing, polymer crystallization, and photovoltaic-thermal systems. With a strong academic background and extensive research experience, he has contributed significantly to the advancement of sustainable energy solutions and materials engineering. Currently serving as a UKRI Postdoctoral Fellow at Imperial College London, Dr. Teo continues to push the boundaries of scientific discovery and innovation in his field.

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Education

Dr. Teo obtained his Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), Singapore, where he focused on the modulation and green synthesis of metal-organic frameworks (MOFs) for enhanced water uptake and adsorption kinetics in cooling applications. Prior to this, he earned a Bachelor of Engineering in Mechanical Engineering from NTU with First Class Honours. He also holds a Diploma with Merit in Mechatronics from Temasek Polytechnic, Singapore. His educational journey includes participation in a student exchange program at San Diego State University, USA.

Experience

Dr. Teo’s professional journey has been marked by impactful roles in both academia and industry collaborations. Currently, as a UKRI Postdoctoral Fellow at Imperial College London, he is investigating the performance of solar cells integrated with sustainable technologies. He previously worked at NTU’s HP-NTU Digital Manufacturing Corporate Lab as a Research Fellow, where he studied polymer crystallization behavior in additive manufacturing processes. His earlier roles include working as a Project Officer in NTU’s School of Mechanical and Aerospace Engineering, focusing on MOFs for water adsorption and energy applications.

Research Interest

Dr. Teo’s research interests encompass a broad range of interdisciplinary fields, including adsorption science, metal-organic frameworks, renewable energy technology, additive manufacturing, polymer crystallization, and photovoltaic-thermal systems. His work aims to enhance material properties for applications in energy efficiency and sustainability, bridging the gap between theoretical simulations and practical implementations.

Awards

Dr. Teo has received numerous accolades for his contributions to research and academia. Notable awards include the Seal of Excellence from the MSCA Fellowship Call 2020 by the European Commission, an Honorable Mention at the Virtual Poster Workshop (HP-NTU Corporate Lab), and the Best Paper Award at the 4th International Symposium on Innovative Materials for Processes in Energy Systems. Additionally, he was recognized with the Best Teaching Assistant Award at NTU and was featured on the Dean’s List and Director’s List during his academic tenure.

Selected Publications

Teo, H. W. B., Ng, M. S., Xenon storage density and its energy flow through adsorption on metal-organic frameworks, Journal of Industrial and Engineering Chemistry, 2024. (Citation: 2, Impact Factor: 6.1)

Le, K. Q., Tran, V. T., Chen, K., Teo, H. W. B., Predicting crystallinity of polyamide 12 in multi-jet fusion process, Journal of Manufacturing Processes, 2023. (Citation: 2, Impact Factor: 5.684)

Teo, H. W. B., Chen, K., Tran, V. T., Non-isothermal crystallization behavior of polyamide 12 analogous to multi-jet fusion additive manufacturing, Polymer, 2021. (Citation: 14, Impact Factor: 4.43)

Teo, H. W. B., Chakraborty, A., Aluminium fumarate MOF for water adsorption: Cooling/heat pump applications, Microporous and Mesoporous Materials, 2018. (Citation: 59, Impact Factor: 5.455)

Teo, H. W. B., Chakraborty, A., Experimental study of isotherms and kinetics for adsorption of water on Aluminium Fumarate, International Journal of Heat and Mass Transfer, 2017. (Citation: 107, Impact Factor: 5.584)

Teo, H. W. B., Chakraborty, A., Water adsorption on CHA and AFI Types Zeolites, Applied Thermal Engineering, 2017. (Citation: 60, Impact Factor: 5.295)

Teo, H. W. B., Chakraborty, A., Improved adsorption characteristics data for AQSOA types zeolites and water systems, Microporous and Mesoporous Materials, 2017. (Citation: 133, Impact Factor: 5.455)

Conclusion

Given his extensive research contributions, innovation, mentorship, and global recognition, Dr. Benjamin H. W. Teo is a highly suitable candidate for the “Best Researcher Award.” His work continues to push boundaries in material science and sustainable energy applications, making a lasting impact on both academia and industry.

Vedika Vishawas Avhad – Engineering & Technology – Best Researcher Award

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Vedika Vishawas Avhad - Engineering & Technology - Best Researcher Award

VPPCOE&VA - India

AUTHOR PROFILE

GOOGLE SCHOLAR

ACADEMIC BACKGROUND

Mrs. Vedika Vishawas Avhad is an accomplished academic in the field of Computer Engineering. She is currently pursuing her PhD at Pillai HOC in Panvel and has completed her M.E. in Computer Engineering from YTIET, Karjat in 2019 with a CGPA of 7.77. Her undergraduate studies culminated in a B.E. in Computer Engineering from D.Y. Patil, Pune in 2014, where she achieved 61.80%. Additionally, she holds a Diploma in Computer Engineering from K.K. Wagh Polytechnic, Nashik, completed in 2010 with a commendable score of 72.90%.

PROFESSIONAL EXPERIENCE

Mrs. Avhad's professional journey includes roles as an Assistant Professor at Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts in Sion since July 2019. She has also served as a Lecturer at Shivajirao S. Jondhale Polytechnic, Dombivli from June 2016 to March 2018, and as an Assistant Professor at B R Harne College of Engineering, Vangni from January 2016 to May 2016. Her teaching experience is complemented by her roles as a department-level Exam Coordinator, BE & TE student Project Guide, and various coordination responsibilities in academic events and processes.

RESEARCH INTERESTS AND OBJECTIVES

Her research interests focus on innovative applications of computer engineering in health and forensic sciences. She is currently engaged in research projects such as "Iridology-based Early Stage Predictions of Human Health Conditions using Computer Vision and Deep Learning" and "Searching and Detecting Forged Multimedia Data in Forensic Investigation." These projects aim to develop precise patterns of iris for health predictions and efficient detection methods for multimedia forensics, respectively.

PUBLICATIONS

Mrs. Avhad has contributed significantly to academic literature with publications in various reputed journals. Notable works include articles on topics such as Smart EVMs for reducing frauds based on biometric identification, efficient Cibpre schemes with provable security, multimedia data forensics, jamming-aware traffic allocation, plant health monitoring systems, customer churn prediction, heart disease prediction, age and gender prediction, and obstacle detection for the visually impaired.

PROFESSIONAL DEVELOPMENT

She has actively participated in numerous faculty development programs, workshops, and trainings. Some of these include AICTE-ISTE sponsored STTPs on emerging trends in data science, data security, and applications of mathematics in engineering, as well as FDPs on topics like blockchain technology, software project management, and natural language processing. These programs have been instrumental in enhancing her teaching methodologies and research capabilities.

ACADEMIC CONTRIBUTIONS AND SERVICE

Beyond her teaching and research, Mrs. Avhad has been involved in various academic and administrative roles. She has served as a Paper-Setter for University of Mumbai and K. J. Somaiya Institute of Engineering and Information Technology, anchored official, technical, and cultural programs, and worked as an examiner and moderator for university examinations. Her contributions also extend to supporting departmental committees and mentoring students in their academic and research pursuits.

NOTABLE PUBLICATION

Prediction of customer churn using machine learning 2022 (2)

Heart Disease Prediction using Machine Learning,7 th International conference on Innovation And Research in Technology & Engineering, ICIRTE

Smart EVM for Reducing Frauds, Based on Face Recognition and Biometric Identification with instant Result 2019