Chen Wai Wong | Biotechnology | Best Researcher Award

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Assoc. Prof. Dr. Chen Wai Wong | Biotechnology | Best Researcher Award

Lecturer, UCSI University Malaysia

Dr. Wong Chen Wai is an Associate Professor at the Faculty of Applied Sciences, UCSI University, Malaysia. With a background in Biotechnology, he specializes in enzyme and food biotechnology, teaching subjects related to biochemistry, biotechnology, and biosensors. He has made significant contributions to both academia and industry through research and teaching. He has supervised numerous Ph.D. and MSc students, leading various cutting-edge research projects. 🌱👨‍🏫

Publication Profile

Scopus

Orcid

Scholar

🎓 Education

Dr. Wong holds a Postgraduate Diploma in Tertiary Teaching (2021), a Ph.D. in Enzyme and Food Biotechnology (2009), and a Bachelor of Science in Biotechnology (2001), all from esteemed Malaysian institutions. His academic journey has honed his expertise in biotechnology and applied sciences.

💼 Experience

Dr. Wong has held key academic positions at UCSI University, including Associate Professor (2019–present) and Head of Biotechnology (2019–2022). He has also worked as an Application Chemist and Engineer in the industry before pursuing his academic career. His teaching spans various subjects in biotechnology, and he has supervised many graduate and postgraduate students.

🏆 Awards & Honors

Dr. Wong’s achievements include recognition for excellence in research and teaching, with a strong focus on biotechnological innovations. He has been awarded various fellowships and honors for his contributions to education and research.

🔬 Research Focus

Dr. Wong’s research focuses on the development of bioplastics, biofuels, enzyme technology, and the use of natural extracts in biotechnology. His current research includes the sustainable use of agricultural waste and biorefinery technologies.

Conclusion

Dr. Wong’s distinguished academic and research career, marked by his leadership in biotechnology and contributions to sustainable biotechnological solutions, makes him highly deserving of the Best Researcher Award. While opportunities for expanding his interdisciplinary collaborations exist, his current body of work and mentorship in shaping future leaders in biotechnology makes him a standout researcher in his field.

Publication Top Notes

  • Title: Effect of enzymatic processing, inlet temperature, and maltodextrin concentration on the rheological and physicochemical properties of spray‐dried banana (Musa acuminata) powder
    Year: 2018
    Authors: CW Wong, CY Teoh, CE Putri
    Citation: Journal of Food Processing and Preservation, 18

 

  • Title: Inhibitory effect of Malaysian coastal plants on banana (Musa acuminata Colla “Lakatan”), ginger (Zingiber officinale Roscoe), and sweet potato (Ipomoea batatas) polyphenol oxidase
    Year: 2021
    Authors: WY Lim, YW Cheng, LB Lian, EWC Chan, CW Wong
    Citation: Journal of Food Science and Technology, 58, 4178-4184

 

  • Title: Ceiba pentandra (L.) Gaertn.: An overview of its botany, uses, reproductive biology, pharmacological properties, and industrial potentials
    Year: 2022
    Authors: EWC Chan, SW Yeong, CW Wong, OYM Soo, ACY Phua, YK Ng
    Citation: Journal of Applied Biology and Biotechnology, 10(20), 1-7

 

  • Title: Inhibitory Effect of Onion Extract on Cassava Leaf (Manihot esculenta Crantz) Polyphenol Oxidase
    Year: 2014
    Authors: CW Wong, PLA Lee
    Citation: International Food Research Journal, 21(2), 755-758

 

  • Title: Hydrophobic bioactive constituents of cinnamon bark as inhibitors of polyphenol oxidase from Musa acuminata ‘Mas’ peel
    Year: 2022
    Authors: ZZ Siew, EWC Chan, CW Wong
    Citation: Biocatalysis and Agricultural Biotechnology, 45, 102504

 

  • Title: Effects of inlet temperature and carrier concentration on spray-dried ‘cempedak’ (Artocarpus integer) fruit powder and its reconstitution properties
    Year: 2021
    Authors: LP Pui, R Karim, YA Yusof, CW Wong, HM Ghazali
    Citation: Acta Scientiarum Polonorum, Technologia Alimentaria, 20(2), 135-148

 

  • Title: Tyrosinase inhibiting extracts from coastal plants as potential additives in skin whitening formulations
    Year: 2021
    Authors: WY Lim, EWC Chan, CW Phan, CW Wong
    Citation: Current Applied Science and Technology, 21, 481-494

 

  • Title: Role of scutellarin in human cancer—A review
    Year: 2019
    Authors: EWC Chan, CSS Lim, WY Lim, ZJ Loong, CW Wong
    Citation: Journal of Applied Pharmaceutical Science, 9(1), 142-146

 

  • Title: Deep eutectic solvents for batteries and fuel cells: biosubstitution, advantages, challenges, and future directions
    Year: 2023
    Authors: Y Hariyanto, YK Ng, ZZ Siew, CY Soon, AC Fisher, L Kloyer, CW Wong, et al.
    Citation: Energy & Fuels, 37(23), 18395-18407

 

  • Title: Pomolic acid: A short review on its chemistry, plant sources, pharmacological properties, and patents
    Year: 2023
    Authors: EWC Chan, YK Ng, CSS Lim, VS Anggraeni, ZZ Siew, CW Wong, et al.
    Citation: Journal of Applied Pharmaceutical Science, 13(5), 058-065

 

  • Title: Anti-quorum sensing and antibiotic enhancement of allylpyrocatechol and methyl gallate
    Year: 2021
    Authors: CSS Lim, EWC Chan, CW Wong, JBL Tan, VS Anggraeni, ZJ Loong, et al.
    Citation: Jurnal Teknologi, 83(3), 101-106

 

  • Title: Thermostable Deep Eutectic Solvents for Thermochemical Reactions: Novel Stability Indicators
    Year: 2024
    Authors: Y Hariyanto, CW Wong, AC Fisher, L Kloyer, EWC Chan
    Citation: ACS Sustainable Chemistry & Engineering, 12(17), 6774-6785

 

  • Title: Swelling behavior and methylene blue absorption of carboxymethyl cellulose hydrogels prepared from Malaysian agricultural wastes by electron beam irradiation
    Year: 2020
    Authors: EWC Chan, CMY Huang, P CHIA, CSS Lim, ZJ Loong, M Talib, CW Wong, et al.
    Citation: Cell Chem Technol, 54(5-6), 421-428

 

Larisa Dunai | biotechnology | Best Researcher Award

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Prof. Larisa Dunai | biotechnology | Best Researcher Award

Professor, Universitat Politècnica de València Spain

Prof. Larisa Dunai is a renowned academic at the Universitat Politècnica de València, specializing in graphical engineering. She has been a Professor Titular (Associate Professor) since 2006. Her academic journey began at the Universitatea Tehnică a Moldovei, where she earned degrees in Radioelectronics and Telecommunications. With a passion for advancing the field, Prof. Dunai has made significant contributions to education and research in engineering. Her work spans various aspects of graphical engineering, and she is an active member of IEEE. She has consistently engaged in academic leadership, focusing on innovative approaches in her field.

Publication Profile

Scopus

Orcid

Google Scholar

🎓 Education

Prof. Larisa Dunai holds a Doctorate in Graphic Engineering from the Universitat Politècnica de València (2010). She earned a Master’s degree in Radioelectronics and Telecommunications from the Universitatea Tehnică a Moldovei (2004), following her undergraduate degree in the same field (2003). Her academic foundations in telecommunications and graphic engineering have led to an exceptional career dedicated to teaching, research, and technological advancement in these domains.

💼 Experience

Prof. Dunai has been a Professor Titular (Associate Professor) in the Department of Graphic Engineering at the Universitat Politècnica de València since 2006. Her expertise encompasses radioelectronics, telecommunications, and graphical engineering. She has made significant contributions through her research and teaching, focusing on innovative techniques in engineering design and graphic visualization. Prof. Dunai is also a prominent member of IEEE, contributing to the academic community and working to advance the field of engineering through education, publications, and professional involvement.

🏆 Awards & Honors

Throughout her career, Prof. Larisa Dunai has been recognized for her excellence in teaching and research. She has received numerous academic awards and honors, including recognition for her contributions to the field of graphic engineering. As an active member of IEEE, she is respected for her leadership in the engineering community. Prof. Dunai’s dedication to education and research has had a lasting impact on her students and the broader scientific community.

🔬 Research Focus

Prof. Dunai’s research is centered on the integration of graphic engineering, telecommunications, and radioelectronics. She is particularly interested in the application of graphic techniques to solve complex engineering problems and enhance technological advancements. Her research explores innovative methods in graphical visualization, as well as the development of new systems and applications in telecommunications. Prof. Dunai’s work has been instrumental in advancing the practical application of engineering principles in various industries.

Conclusion

Professor Larisa Dunai is a highly accomplished and influential researcher whose expertise in engineering, particularly graphic engineering and telecommunications, positions her as a strong contender for the Best Researcher Award. Her academic achievements, professional experience, and involvement in global research networks make her an outstanding candidate. By expanding her collaborative efforts and enhancing her international profile, Professor Dunai has the potential to make even greater strides in her field, contributing to the advancement of technology and engineering on a global scale.

Publication Top Notes

  • Dispositivo de navegación para personas invidentes basado en la tecnología time of flight
    • Year: 2013
    • Authors: I Lengua, L Dunai, G Peris Fajarnés, B Defez
    • Citation: 21*
  • Automatic classification of winding asymmetries in wound rotor induction motors based on bicoherence and fuzzy C-means algorithms of stray flux signals
    • Year: 2021
    • Authors: MEI Martínez, JA Antonino-Daviu, PF de Córdoba, JA Conejero, L Dunai
    • Citation: 19
  • Virtual sound localization by blind people
    • Year: 2015
    • Authors: L Dunai, I Lengua, G Peris-Fajarnés, F Brusola
    • Citation: 16
  • E-learning in industrial electronics during covid-19
    • Year: 2021
    • Authors: L Dunai, J Martins, K Umetani, O Lucia, Y Ibrahim, GK Appuhamillage
    • Citation: 15
  • Data fusion system for electric motors condition monitoring: an innovative solution
    • Year: 2023
    • Authors: RA Osornio-Rios, I Zamudio-Ramírez, AY Jaen-Cuellar, J Antonino-Daviu, …
    • Citation: 13
  • Face detection and recognition application for Android
    • Year: 2015
    • Authors: M Chillaron, L Dunai, GP Fajarnes, IL Lengua
    • Citation: 13
  • Velocity vector (3D) measurement for spherical objects using an electro-optical device
    • Year: 2011
    • Authors: E Lluna, V Santiago, B Defez, L Dunai, G Peris-Fajarnes
    • Citation: 12
  • Diseño de un exoesqueleto de extremidades inferiores
    • Year: 2019
    • Authors: L Dunai, I Lengua, G Peris Fajarnes, B Defez Garcia
    • Citation: 10
  • Interaural time difference thresholds as a function of frequency
    • Year: 2013
    • Authors: WM Hartmann, L Dunai, T Qu
    • Citation: 10
  • Detection of uniform gearbox wear in induction motors based on the analysis of stray flux signals through statistical time-domain features and dimensionality reduction techniques
    • Year: 2022
    • Authors: I Zamudio-Ramirez, JJ Saucedo-Dorantes, J Antonino-Daviu, …
    • Citation: 9
  • Tracking of high-order stray-flux harmonics under starting for the detection of winding asymmetries in wound-rotor induction motors
    • Year: 2021
    • Authors: I Zamudio-Ramirez, JA Antonino-Daviu, RA Osornio-Rios, L Dunai
    • Citation: 9
  • Sound map generation for a prototype blind mobility system using multiple sensors
    • Year: 2008
    • Authors: NO Araque, L Dunai, F Rossetti, L Listi, M Mirmehdi, JLG Mora, …
    • Citation: 9
  • Stray flux analysis for the detection of rotor failures in wound rotor induction motors
    • Year: 2019
    • Authors: J Antonino-Daviu, I Zamudio-Ramírez, RA Osornio-Ríos, V Fuster-Roig, …
    • Citation: 8
  • Electronic travel aid systems for visually impaired people
    • Year: 2011
    • Authors: L Dunai, G Peris Fajarnes, S Praderas
    • Citation: 8
  • Cognitive aid system for blind people (CASBliP)
    • Year: 2009
    • Authors: VS Praderas, N Ortigosa, L Dunai, GP Fajarnes
    • Citation: 8
  • Automatic Classification of Field Winding Faults in Synchronous Motors based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals
    • Year: 2023
    • Authors: MEI Martínez, JG Carmenate, J Antonino-Daviu, L Dunai, CA Platero, …
    • Citation: 7

 

Ali Alqudah | Biomedical Engineeringl | Young Scientist Award

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Mr. Ali Alqudah | Biomedical Engineeringl | Young Scientist Award

Mr at University of Manitoba, Canada

Ali Mohammad Alqudah, M.Sc., is a dedicated Graduate Research Assistant at the Biomedical Instrumentation and Signal Analysis Lab, Biomedical Engineering Program, University of Manitoba (UoM), Canada. With a strong foundation in computer and biomedical systems engineering, he has contributed significantly to research in machine learning and biomedical applications. Ali is affiliated with multiple professional organizations, including IEEE and ACM, and has been consistently recognized for his academic excellence, notably featuring on Stanford’s top 2% scientist list from 2021 to 2024. His editorial roles in prestigious journals further highlight his expertise and influence in his field. Ali’s research and professional activities reflect his commitment to advancing the integration of AI and biomedical engineering.

Profile

Scopus

Scholar

Education 🎓

Ali Mohammad Alqudah is currently pursuing his Ph.D. in Biomedical Engineering at the University of Manitoba, where he specializes in deep learning applications for medical conditions such as obstructive sleep apnea (OSA). His research under Prof. Zahra Moussavi focuses on innovative diagnostic methods using tracheal breathing sounds during wakefulness. Alqudah’s educational journey began with a B.S.E. in Biomedical Systems Engineering from Yarmouk University, Jordan (2015), followed by an M.Sc. in Computer Engineering (Industrial Automation) in 2018, where he graduated first in his class with a GPA of 91.4%. His academic training includes advanced coursework in biomedical signal processing and medical imaging, shaping his expertise in computational biomedical applications.

 Experience 💼

Ali Mohammad Alqudah’s professional trajectory includes extensive research and teaching experiences. He is currently a Graduate Research Assistant at the University of Manitoba, contributing to cutting-edge studies in biomedical signal processing and AI applications in healthcare. His work has involved deep learning models for OSA detection and other diagnostic innovations. Alqudah’s prior roles include academic assistantships and involvement in laboratory teaching at Yarmouk University. His contributions are marked by the practical integration of machine learning and engineering skills, advancing research that bridges technology and medicine. Ali has also served in editorial capacities for prominent journals, showcasing his thought leadership and commitment to scholarly dissemination.

Awards and Honors 🏆

Ali Mohammad Alqudah’s exceptional contributions have earned him spots on Stanford’s prestigious list of the top 2% of scientists worldwide for four consecutive years (2021-2024). His outstanding academic performance during his M.Sc. at Yarmouk University led to him graduating first in his class. Ali’s scholarly output has been widely recognized, with publications in high-impact journals and conference proceedings. His membership in professional organizations such as IEEE and ACM further testifies to his active engagement in the scientific community. These honors reflect his deep commitment to advancing research in biomedical engineering, signal processing, and artificial intelligence.

Research Focus 🔍

Ali Mohammad Alqudah’s research centers on the intersection of artificial intelligence and biomedical engineering. His primary areas of interest include machine learning and deep learning for medical diagnostics, biomedical signal and image processing, and computer applications in healthcare. His current Ph.D. work explores the application of deep learning for detecting obstructive sleep apnea using non-invasive tracheal breathing sound analysis. Alqudah’s studies incorporate advanced techniques in pattern recognition and AI to improve patient screening and diagnostic accuracy. His commitment to leveraging AI for enhanced medical outcomes positions him as a key contributor to innovations in healthcare technology.

Conclusion 📝

Ali Mohammad Alqudah’s distinguished academic and research career, combined with his technical proficiency and global recognition, make him a strong candidate for the Young Scientist Award. His ongoing work in deep learning for medical diagnostics has the potential to revolutionize early disease detection methods, providing tangible advancements in healthcare technology. With minor enhancements in collaborative and mentorship activities, Alqudah could further solidify his position as a future leader in biomedical engineering research.

Publications 📚

  • Title: Sliding window based deep ensemble system for breast cancer classification
    Year: 2021
    Authors: A Alqudah, AM Alqudah
    Journal: Journal of Medical Engineering & Technology 45 (4), 313-323

 

  • Title: Reduced number of parameters for predicting post-stroke activities of daily living using machine learning algorithms on initiating rehabilitation
    Year: 2021
    Authors: AM Alqudah, M Al-Hashem, A Alqudah
    Journal: Informatica 45 (4)

 

  • Title: Advanced time-frequency methods for ECG waves recognition
    Year: 2023
    Authors: A Zyout, H Alquran, WA Mustafa, AM Alqudah
    Journal: Diagnostics 13 (2), 308

 

  • Title: Pulmonary Diseases Decision Support System Using Deep Learning Approach
    Year: 2022
    Authors: Y Al-Issa, AM Alqudah, H Alquran, A Al Issa
    Journal: Computers, Materials & Continua 73 (1), 311-326

 

  • Title: An embedded system based on raspberry pi for effective electrocardiogram monitoring
    Year: 2023
    Authors: YM Obeidat, AM Alqudah
    Journal: Applied Sciences 13 (14), 8273

 

  • Title: Enhancing Prediction of Prosthetic Fingers Movement Based on sEMG Using Mixtures of Features and Random Forest
    Year: 2019
    Authors: WN Al-Sharu, AM Alqudah
    Journal: International Journal of Recent Technology and Engineering (IJRTE) 8 (4)

 

  • Title: International Journal of Advanced Trends in Computer Science and Engineering
    Year: 2019
    Authors: AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah, W Al-Sharu
    Journal: International Journal 8 (6)

 

  • Title: EOG-based mouse control for people with quadriplegia
    Year: 2016
    Author: AM Alqudah
    Journal: XIV Mediterranean Conference on Medical and Biological Engineering and …

 

  • Title: A New Weighted Deep Learning Feature Using Particle Swarm and Ant Lion Optimization for Cervical Cancer Diagnosis on Pap Smear Images
    Year: 2023
    Authors: M Alsalatie, H Alquran, WA Mustafa, A Zyout, AM Alqudah, R Kaifi, …
    Journal: Diagnostics 13 (17), 2762

 

  • Title: The Internet of Things in Healthcare: A survey for Architecture, Current and Future Applications, Mobile Application, and Security
    Year: 2019
    Author: AM Alqudah
    Journal: JOIV: International Journal on Informatics Visualization 3 (2), 113-122

 

  • Title: Detection of valvular heart diseases using fourier transform and simple cnn model
    Year: 2022
    Authors: WN Al-Sharu, AM Alqudah, S Qazan, A Alqudah
    Journal: IAENG International Journal of Computer Science 49 (4), 985-993

 

  • Title: Automated diagnosis of heart-lung diseases in chest X-ray images
    Year: 2022
    Authors: M Alslatie, H Alquran, WA Mustafa, I Abu-Qasmieh, AM Alqudah, …
    Journal: 2022 5th International Conference on Engineering Technology and its …