Prabhat Patel | Engineering | Best Researcher Award

Posted on 04/02/202504/02/2025 by sciencefather

Dr. Prabhat Patel | Engineering | Best Researcher Award

Dr. Prabhat Patel, Harbin Institute of Technology Shenzhen, China, India

Dr. Prabhat Kumar Patel is a dedicated researcher and Postdoctoral Fellow at the School of Science, Harbin Institute of Technology, Shenzhen, China. With a strong background in Environmental and Civil Engineering, he specializes in water and wastewater treatment, biopolymer synthesis, and heavy metal remediation. Holding a Ph.D. from IIT Guwahati, he has contributed significantly to the field through numerous high-impact publications and international collaborations. Dr. Patel has also mentored graduate students, guiding them in research projects related to urban wastewater recycling, pollutant adsorption, and sustainable environmental practices. His expertise extends to machine learning applications for air quality prediction. Recognized for his innovative approach, Dr. Patel has received accolades for his research contributions. His professional journey is driven by a passion for sustainable solutions to environmental challenges, making him a prominent figure in the field of environmental engineering and advanced material science.

Professional Profile

Google Scholar

Suitability of Summary for Best Researcher Awards

Dr. Prabhat Kumar Patel is a strong candidate for the Research for Best Researcher Award based on his extensive research contributions, mentoring experience, and academic credentials. His expertise in environmental engineering, particularly in water and wastewater treatment, bio-polymer derivatives, and heavy metal remediation, is evident from his doctoral research and numerous publications in high-impact journals. His ongoing postdoctoral research at Harbin Institute of Technology further solidifies his commitment to advancing environmental science.

His publication record demonstrates a strong research impact, with multiple articles indexed in Science Citation Index Expanded (SCIE) and Scopus. His studies focus on adsorption-based removal of pollutants, an area of growing global importance. The high number of citations, H-index, and i10-index indicate his research’s influence in the field. Additionally, his active participation in conferences, editorial roles, and contributions to book chapters further emphasize his dedication to knowledge dissemination.

Education

Dr. Prabhat Kumar Patel has a distinguished academic background in environmental and civil engineering. He is currently pursuing a Postdoctoral Fellowship at Harbin Institute of Technology, Shenzhen, China. He earned his Ph.D. in Environmental Science from the Indian Institute of Technology Guwahati in 2023, focusing on bio-polymer derivatives for wastewater treatment. Prior to that, he completed his M.Tech in Environmental Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, in 2017 with an impressive CGPA of 8.65. His academic journey began with a B.Tech in Civil Engineering from Noida Institute of Engineering and Technology, where he graduated with 81.2% in 2014. His strong foundation in science and engineering was established through his Higher Secondary (65%) and Secondary (78.6%) education under the Uttar Pradesh Board. His academic credentials reflect his commitment to sustainable environmental research and technological advancements.

Professional Experience

Dr. Prabhat Kumar Patel has extensive experience in both academia and research. He served as an Assistant Professor at the Institute of Engineering and Technology, Lucknow, from August 2023 to July 2024. Previously, he was a Guest Lecturer at the same institute in 2018. As a Teaching Assistant during his Ph.D., he contributed to courses on Environmental Engineering, Air Pollution, and Solid Waste Management. He has also been an active student mentor under the Rashtriya Avishkar Abhiyan, guiding students in environmental research projects. Additionally, Dr. Patel has editorial experience, having assisted in publishing books on biodiversity conservation and agro-processing technologies. His work involves coordinating online classes, organizing workshops, and mentoring students on projects related to wastewater treatment, adsorption techniques, and sustainability. His role in research and education highlights his dedication to advancing environmental engineering solutions.

Awards and Recognition

Dr. Prabhat Kumar Patel has received numerous accolades for his contributions to environmental science and engineering. His research on chitosan-based adsorbents for wastewater treatment has earned recognition in high-impact journals. He was awarded research fellowships and travel grants for presenting his work at international conferences. He has been recognized by institutions such as IIT Guwahati and MNNIT Allahabad for his excellence in environmental engineering research. His mentorship of students in sustainable water treatment projects has also been acknowledged. Additionally, Dr. Patel has contributed as an editorial assistant to scientific publications on biodiversity and food processing. His contributions to the field, including innovative applications of machine learning in air quality prediction, have been cited extensively. His growing citation indices (H-index: 6, i10-index: 6) reflect his research impact, making him a notable figure in the domain of sustainable environmental engineering.

Research Skills On Engineering

Dr. Prabhat Kumar Patel possesses a diverse range of research skills in environmental science and engineering. His expertise lies in synthesizing biopolymer derivatives for adsorptive removal of pollutants, including dyes, heavy metals, and noble metals from industrial wastewater. He has worked extensively on the development of low-cost adsorbents and the treatment of urban wastewater streams. His research extends to machine learning applications for air quality prediction and environmental data analysis. Dr. Patel has also conducted techno-economic assessments of sustainable environmental technologies. His ability to integrate computational modeling with experimental research has enhanced his contributions to sustainable water treatment methodologies. His skills include advanced spectroscopic characterization, adsorption kinetics modeling, and environmental impact assessment. His proficiency in coordinating interdisciplinary research projects has made him a valuable contributor to environmental sustainability initiatives globally.

Publication Top Notes

Title: Adsorptive removal of Zn, Fe, and Pb from Zn dominant simulated industrial wastewater solution using polyvinyl alcohol grafted chitosan variant resins
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 63
Year: 2023
Title: Highly effective removal of multi-heavy metals from simulated industrial effluent through an adsorption process employing carboxymethyl-chitosan composites
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 28
Year: 2024
Title: Synthesized carboxymethyl-chitosan variant composites for cyclic adsorption-desorption based removal of Fe, Pb, and Cu
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 22
Year: 2023
Title: Cyclic desorption based efficacy of polyvinyl alcohol-chitosan variant resins for multi heavy-metal removal
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 21
Year: 2023
Title: Batch adsorption characteristics of Dowex Marathon MSA commercial resin for Au (III) removal from synthetic electroless plating solutions
Authors: PK Patel, S Nagireddi, RVS Uppaluri, LM Pandey
Citation Count: 21
Year: 2022
Title: Multi-metal Adsorption and Cyclic Desorption Characteristics of Zn²⁺ and Cu²⁺ Constituting Multi-component Synthetic Wastewater System Using Commercial Sorbents
Authors: PK Patel, LM Pandey, R Uppaluri
Citation Count: 11
Year: 2022
Title: Cyclic adsorption and desorption characteristics of citric acid-chitosan variant resins for Pb, Fe, and Zn removal from simulated mining and agricultural wastewater system
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 5
Year: 2024
Title: Evaluation of a triethylenetetramine-chitosan derivative for the removal of palladium ion from an intricate adsorbate system
Authors: S Nagireddi, PK Patel, AK Golder, RVS Uppaluri
Citation Count: 2
Year: 2025
Title: Adsorption of emerging pollutants utilizing chitosan derivatives: Recent advances and future perspective
Authors: PK Patel, RVS Uppaluri
Citation Count: N/A
Year: 2025
Title: Conceptual techno-economic analysis of chitosan derivative resin and commercial sorbents for multi-heavy metal removal
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: N/A
Year: 2025

Karthik K | Engineering | Best Researcher Award

Posted on 04/02/202504/02/2025 by sciencefather

Dr. Karthik K | Engineering | Best Researcher Award

Dr. Karthik K, Vellore Institute of Technology, Vellore, India

Karthik K is an accomplished academician and researcher specializing in computer vision, deep learning, and medical imaging. With over a decade of experience in teaching and research, he has contributed significantly to the field of artificial intelligence in healthcare applications. Currently serving as an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, he has previously worked at St. Joseph Engineering College and NITK, Surathkal. His research is backed by strong academic credentials, numerous publications, and active collaborations with esteemed institutions like NITK, NITPy, and VIT AP. Karthik has received the VIT Seed Grant for AI-driven cricket commentary generation and has applied for prestigious research grants. His contributions to automated medical scan quality enhancement and content-based medical image retrieval have been widely recognized. An active IEEE and IAENG member, he continues to drive innovation in AI and deep learning for intelligent healthcare applications.

Professional Profile

Scopus

Orcid

Google Scholar

Evaluation of Dr. Karthik K for the Research for Best Researcher Award

Dr. Karthik K, currently an Assistant Professor Sr. Grade I at the Vellore Institute of Technology (VIT), has demonstrated strong research contributions in the fields of computer vision, deep learning, and medical imaging. His research spans content-based medical image retrieval, automated radiography report retrieval, and deep learning-based medical scan quality enhancement, which have direct applications in intelligent healthcare systems. With six journal publications in SCI and Scopus-indexed journals, along with 145 citations, his academic impact is notable.

In addition to his research, Dr. Karthik has published book chapters, submitted a patent, and collaborated with reputed institutions such as NITK, NITPy, and VIT AP. His contributions to AI-driven healthcare applications, particularly in medical image classification and enhancement, showcase his innovative approach to solving real-world medical challenges. Furthermore, his ongoing VIT Seed Grant project on AI-generated cricket commentary and a DST-SURE research grant under review indicate his continued commitment to advancing AI applications across multiple domains.

Education

Karthik K has built a strong academic foundation in the fields of computer science and engineering. He pursued his Bachelor’s and Master’s degrees with a focus on artificial intelligence, deep learning, and medical imaging. His research interests led him to work as a Research Fellow at NITK Surathkal, where he contributed to the DST-ECR-funded project on deep learning frameworks for intelligent healthcare applications. During his tenure, he gained extensive expertise in content-based medical image retrieval and automated medical scan enhancements. His academic journey has been marked by continuous learning and contributions to research, with publications in renowned journals and conferences. Karthik’s passion for AI-driven innovations is evident in his scholarly work, patents, and ongoing research projects. His educational background has laid the foundation for his teaching and research career, equipping him with the knowledge and skills to drive advancements in AI, deep learning, and medical imaging applications.

Professional Experience

Karthik K brings over 10 years of experience in academia and research. He is currently an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, where he specializes in AI, computer vision, and medical imaging. Prior to this, he was an Assistant Professor at St. Joseph Engineering College, Vamanjoor, Mangaluru (2020–2023) and an Assistant Lecturer at NITK, Surathkal (2015–2017). His professional journey includes a research fellowship at NITK Surathkal, where he worked on a DST-ECR-funded project developing deep learning frameworks for intelligent healthcare. Karthik has contributed significantly to AI-driven innovations, collaborating with institutions like NITK, NITPy, and VIT AP. His expertise extends to consultancy projects, editorial appointments, and patents. He has published extensively in SCI and Scopus-indexed journals and remains actively involved in advancing deep learning applications for medical imaging, making significant contributions to academia and industry collaborations.

Awards and Recognition

Karthik K has been recognized for his contributions to artificial intelligence and medical imaging research. He received the VIT Seed Grant (2023–2025) for his innovative project on AI-driven cricket commentary generation. Additionally, he has applied for the DST-SURE research grant, currently under review. His work in content-based medical image retrieval and deep neural networks for healthcare applications has been acknowledged in multiple international journals and conferences. Karthik has published several book chapters with ISBN numbers, showcasing his expertise in AI and deep learning. He actively collaborates with esteemed institutions and has been invited for editorial appointments in reputed journals. His research contributions have earned him membership in professional organizations such as IEEE and IAENG. With over 145 citations in SCI and Scopus-indexed publications, his work continues to impact the field of intelligent healthcare applications. His commitment to research excellence makes him a strong contender for prestigious awards.

Research Skills On Engineering

Karthik K possesses extensive research skills in computer vision, deep learning, and medical imaging. His expertise includes developing AI-driven frameworks for intelligent healthcare applications, enhancing medical scan quality, and implementing deep neural networks for automated medical image retrieval. He has successfully led research projects, including a DST-ECR-funded initiative at NITK Surathkal and ongoing consultancy projects. His ability to integrate AI with real-world healthcare challenges has resulted in significant innovations such as ViewNet for scan orientation and automated radiography report retrieval. Karthik’s research has been published in SCI and Scopus-indexed journals, contributing to the broader scientific community. He is skilled in grant writing, patent filing, and interdisciplinary collaborations, with active partnerships with NITK, NITPy, and VIT AP. His research acumen, combined with hands-on experience in deep learning and AI applications, positions him as a leader in advancing intelligent healthcare solutions through cutting-edge technology.

Publication Top Notes

Title: A deep neural network model for content-based medical image retrieval with multi-view classification
Authors: K Karthik, SS Kamath
Citation: 60
Year: 2021
Title: A hybrid feature modeling approach for content-based medical image retrieval
Authors: K Karthik, SS Kamath
Citation: 16
Year: 2018
Title: COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
Authors: V Mayya, K Karthik, KS Sowmya, K Karadka, J Jeganathan
Citation: 13
Year: 2021
Title: Analysis and prediction of fantasy cricket contest winners using machine learning techniques
Authors: K Karthik, GS Krishnan, S Shetty, SS Bankapur, RP Kolkar, TS Ashwin, …
Citation: 13
Year: 2021
Title: MSDNet: A deep neural ensemble model for abnormality detection and classification of plain radiographs
Authors: K Karthik, S Sowmya Kamath
Citation: 12
Year: 2023
Title: Deep neural models for automated multi-task diagnostic scan management—quality enhancement, view classification and report generation
Authors: K Karthik, S Kamath
Citation: 12
Year: 2021
Title: Automatic quality enhancement of medical diagnostic scans with deep neural image super-resolution models
Authors: K Karthik, SS Kamath, SU Kamath
Citation: 6
Year: 2020
Title: An automated robotic arm: a machine learning approach
Authors: NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
Citation: 5
Year: 2021
Title: Automated view orientation classification for x-ray images using deep neural networks
Authors: K Karthik, S Kamath
Citation: 3
Year: 2021
Title: GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
Authors: R Kumar, K Karthik, SS Kamath
Citation: 3

Miaomiao Ma | Engineering | Best Researcher Award

Posted on 03/02/202503/02/2025 by sciencefather

Prof. Miaomiao Ma | Engineering | Best Researcher Award

Prof. Miaomiao Ma, north china electric power university, China

Dr. Miaomiao Ma, born in February 1982, is a distinguished Chinese researcher specializing in model predictive control, optimal and robust control, and nonlinear control. Currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, he has made significant contributions to renewable power systems and mechatronic systems, particularly in automotive applications. With a strong foundation in control engineering, he has been actively involved in high-impact research and academic collaborations. Dr. Ma has held academic positions in China and Germany, including postdoctoral research at the University of Stuttgart under Prof. Frank Allgöwer. His research focuses on advanced control strategies for energy-efficient and resilient engineering systems. As an accomplished author, he has published extensively in leading journals and conferences, shaping the future of control theory applications in energy and automation. His expertise continues to influence both academia and industry.

Professional Profile

Scopus

Orcid

Google Scholar

Suitability for the Research for Best Researcher Award – Miaomiao Ma

Dr. Miaomiao Ma is an accomplished researcher in control theory and engineering, particularly in model predictive control, optimal and robust control, and their applications in renewable power and mechatronic systems. His academic journey, from earning a Ph.D. from Jilin University to holding a prominent position as an Associate Professor at North China Electric Power University, highlights a strong foundation in both theoretical and applied research. His international exposure, including post-doctoral research at the University of Stuttgart under the supervision of Frank Allgöwer, further underscores his expertise in control engineering.

Dr. Ma has made significant contributions to the field, as evidenced by his extensive publication record in high-impact journals, including IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, and ISA Transactions. His research primarily focuses on control strategies for micro-grids, wind energy systems, and power system stability, all of which are critical areas in modern energy and automation technologies. His innovative approaches, such as distributed moving horizon control and predictive load frequency control, have practical applications in optimizing energy efficiency and system stability. Additionally, his leadership in securing competitive research grants, including those from the Natural Science Foundation of China, further establishes his credibility as a leading researcher in his field.

Education

Dr. Miaomiao Ma earned his Ph.D. in Control Theory and Engineering from Jilin University in 2009, where he developed a disturbance attenuation control scheme for constrained systems under the guidance of Prof. Hong Chen. Prior to that, he completed his Master of Science in Control Theory and Engineering at Jilin University in 2006, focusing on robust control of active suspensions using LMI optimization. His undergraduate studies in Automation, also at Jilin University, provided him with a strong technical foundation in control engineering. Throughout his academic journey, Dr. Ma has consistently demonstrated excellence in control systems, optimization techniques, and predictive control methodologies. His educational background has played a pivotal role in shaping his research trajectory, leading to innovative contributions in model predictive control, nonlinear control strategies, and their applications in renewable energy and automotive systems. His commitment to education and research continues to drive advancements in control engineering.

Professional Experience

Dr. Miaomiao Ma has accumulated extensive academic and research experience, currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University (NCEPU), since January 2015. Prior to this, he was an Assistant Professor at NCEPU from 2009 to 2014. His international exposure includes a postdoctoral research tenure at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany, under Prof. Frank Allgöwer from 2012 to 2013. Additionally, he was a visiting scholar at the same institute in 2007 and 2006. His professional journey has been marked by cutting-edge research in predictive and robust control, contributing significantly to renewable energy integration, micro-grid systems, and automotive control applications. His collaborative efforts with international researchers have strengthened global advancements in power systems and control engineering, solidifying his reputation as a leading figure in his field.

Awards and Recognition

Dr. Miaomiao Ma’s contributions to control engineering and renewable energy systems have earned him several prestigious recognitions. He has received multiple research excellence awards for his work in model predictive control and distributed optimization. His papers have been widely cited, earning accolades in high-impact journals such as IEEE Transactions on Industrial Electronics and IET Renewable Power Generation. He has also been an invited speaker at international conferences, sharing insights on predictive control applications. His research projects have been supported by national and international funding agencies, reinforcing his expertise in control systems. Furthermore, Dr. Ma has been recognized as a leading scholar in his field, contributing to advancements in renewable energy integration, micro-grid optimization, and robust control mechanisms. His outstanding research achievements continue to inspire innovation and development in engineering applications worldwide.

Research Skill On Engineering

Dr. Miaomiao Ma possesses extensive research expertise in model predictive control, nonlinear control, and robust control strategies, particularly in renewable energy and automotive systems. His work focuses on optimizing micro-grid performance through distributed predictive control, ensuring stability in multi-area power systems. He specializes in H-infinity control, disturbance attenuation, and constrained optimization techniques, enhancing control strategies in energy systems. Dr. Ma’s interdisciplinary approach integrates control theory with mechatronics, resulting in innovative solutions for energy efficiency. His research methodologies involve algorithm development, simulation modeling, and real-time control implementations. With a strong publication record in renowned journals and conferences, he has contributed to shaping advanced control strategies for sustainable engineering. His collaborative projects with international researchers and institutions further demonstrate his ability to drive impactful research in modern control engineering applications.

Publication Top Notes

Title: Distributed model predictive load frequency control of the multi-area power system after deregulation
Authors: M Ma, C Zhang, X Liu, H Chen
Citations: 164
Year: 2016
Journal: IEEE Transactions on Industrial Electronics
Title: Distributed model predictive load frequency control of multi-area interconnected power system
Authors: M Ma, H Chen, X Liu, F Allgöwer
Citations: 134
Year: 2014
Journal: International Journal of Electrical Power & Energy Systems
Title: Moving Horizon Tracking Control of Wheeled Mobile Robots With Actuator Saturation
Authors: H Chen, MM Ma, H Wang, ZY Liu, ZX Cai
Citations: 99
Year: 2009
Journal: IEEE Transactions on Control Systems Technology
Title: LFC for multi‐area interconnected power system concerning wind turbines based on DMPC
Authors: M Ma, X Liu, C Zhang
Citations: 74
Year: 2017
Journal: IET Generation, Transmission & Distribution
Title: Disturbance attenuation control of active suspension with non-linear actuator dynamics
Authors: MM Ma, H Chen
Citations: 58
Year: 2011
Journal: IET Control Theory & Applications
Title: Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting
Authors: M Yang, D Wang, C Xu, B Dai, M Ma, X Su
Citations: 34
Year: 2023
Journal: Renewable Energy
Title: Maximum power point tracking and voltage regulation of two-stage grid-tied PV system based on model predictive control
Authors: M Ma, X Liu, KY Lee
Citations: 31
Year: 2020
Journal: Energies
Title: Constrained H₂ control of active suspensions using LMI optimization
Authors: M Ma, H Chen
Citations: 28
Year: 2006
Conference: Chinese Control Conference
Title: Robust MPC for the constrained system with polytopic uncertainty
Authors: X Liu, S Feng, M Ma
Citations: 23
Year: 2012
Journal: International Journal of Systems Science
Title: Moving horizon ℋ∞ control of variable speed wind turbines with actuator saturation
Authors: M Ma, H Chen, X Liu, F Allgöwer
Citations: 20
Year: 2014
Journal: IET Renewable Power Generation

Byounghyun Jeon | Engineering | Best Researcher Award

Posted on 22/08/202422/08/2024 by sciencefather

Byounghyun Jeon | Engineering | Best Researcher Award

Master student at Sungkyunkwan University, South Korea

Byounghyun Jeon is a prominent researcher in the field of materials science, specializing in laser processing of 2D materials and surface enhancement Raman scattering. With a solid educational background, significant work experience, and notable awards, he has demonstrated expertise and leadership in his research. His commitment to interdisciplinary collaboration and innovation makes him a leading figure in advancing material science technologies

Professional Profile

Profile ORCID

Education

Byounghyun Jeon holds a Master of Engineering in Mechanical Engineering from Sungkyunkwan University, South Korea, where he is currently studying under the guidance of Associate Professor Kyunghoon Kim. He completed his Bachelor of Engineering in Mechanical and Automotive Engineering at Inje University, South Korea. His academic background provides a strong foundation in mechanical engineering, with a focus on advanced material processing and innovative technologies.

Work Experience

Byounghyun Jeon is an Associate Professor in the Complex Materials Engineering & Systems (COME) Lab at Sungkyunkwan University, where he leads research in 2D material laser processing. Previously, he completed internships at the Korea Institute of Science and Technology (KIST) and Inje University, gaining hands-on experience in soft convergence materials and automotive noise control. His work experience demonstrates a comprehensive understanding of material science and effective project management.

Research Focus

Jeon’s research centers on laser processing of 2D materials, surface-enhanced Raman scattering, and the development of innovative material composites. His work involves resolving complex material processing challenges and integrating interdisciplinary approaches to achieve groundbreaking results. His focus on cutting-edge technologies and their practical applications underscores his dedication to advancing the field of materials science.

Awards and Honors

Jeon has received notable recognition for his research, including the Outstanding Poster Award from The Korean Society of Mechanical Engineers (KSME) in 2022. His contributions to the field are further underscored by his involvement in high-impact conferences and his upcoming publications, reflecting his commitment to advancing knowledge in material science and laser processing technologies.

Conclusion

Byounghyun Jeon is a highly suitable candidate for the Best Researcher Award due to his exceptional expertise in laser processing, interdisciplinary collaboration, and substantial contributions to the field of materials science. His innovative approach and leadership in research make him a standout candidate for this prestigious recognition.

Publications :

Flexible Composites Designed for Physic Sensors, and Their Electromechanical and Adhesive Performances
- Authors: TS Vo, TS Nguyen, TTBC Vo, B Jeon, S Han, K Kim
- Journal: Journal of Materials Science and Technology
- Year: 2024
- Status: In Submission
Characteristics and Preliminary Healing Ability of Polydimethylsiloxane Elastomers
- Authors: TS Vo, TS Nguyen, B Jeon, TTBC Vo, S Han, SH Lee, K Kim
- Journal: Journal of Materials Research and Technology
- Year: 2024
- Status: Under Review R1
A Comprehensive Review of Chitosan-Based Functional Materials: From History to Specific Applications
- Authors: TS Vo, PP Chit, VH Nguyen, T Hoang, KM Lwin, TTBC Vo, B Jeon, S Han, J Lee, Y Park, K Kim
- Journal: International Journal of Biological Macromolecules
- Year: 2024
- Status: Under Review R1
A Comprehensive Review of Laser Processing-Assisted 2D Functional Materials, and Their Specific Applications
- Authors: TS Vo*, B Jeon*, VPT Nguyen, T Hoang, KM Lwin, TTBC Vo, S Han, K Kim
- Journal: Materials Today Physics
- Year: 2024
- DOI: 10.1016/j.mtphys.2024.101536
Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
- Authors: TS Vo, T Hoang, TTBC Vo, B Jeon, K Kim
- Journal: Advanced Healthcare Materials
- Year: 2024
- DOI: 10.1002/adhm.202303923