Tag: Engineering Design Award

Shruti Prajapati | Engineering | Excellence in Research

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Ms. Shruti Prajapati | Engineering | Excellence in Research

Research Scholar, Delhi Technological University,  India

Shruti Prajapati is a deserving candidate for the Excellence in Research Award, showcasing a strong academic background and impactful contributions to renewable energy research. Currently pursuing a Ph.D. at Delhi Technological University, she has an M.Tech in Power Systems & Control from Birla Institute of Technology, achieving an impressive 82.9%, along with a B.E. in Electrical & Electronics Engineering. Her research focuses on control techniques for renewable energy resources in microgrids, with expertise in optimization techniques and artificial neural networks. Shruti has authored several high-impact publications, including innovative studies on hybrid standalone microgrids and adaptive MPPT techniques, demonstrating her commitment to advancing sustainable energy solutions. Her technical skills in MATLAB and energy management further enhance her research capabilities. Overall, Shruti’s dedication, expertise, and significant contributions to her field position her as a leading researcher and an excellent candidate for this prestigious award.

Profile:

 

Education

Shruti Prajapati is currently pursuing her Ph.D. at Delhi Technological University, building on a solid academic foundation in electrical engineering. She earned her M.Tech in Power Systems & Control from the Birla Institute of Technology, Mesra Ranchi, achieving an impressive GPA of 82.9%. Prior to that, she completed her Bachelor of Engineering in Electrical & Electronics Engineering from M.S Engineering College, Bangalore, where she secured a GPA of 71.5%. Her educational journey began with her intermediate studies at Nav Jeevan Mission School in Deoria, followed by high school at GM Academy, where she achieved a commendable CGPA of 9. This robust educational background not only reflects her dedication and commitment to her field but also equips her with the knowledge and skills necessary to contribute meaningfully to research and development in renewable energy and related technologies.

Professional Experiences

Shruti Prajapati has amassed significant professional experience in the field of renewable energy and power systems. Currently pursuing her Ph.D. at Delhi Technological University, she actively engages in research focusing on control techniques for microgrids and optimization methods. Her prior role as a research assistant at the Birla Institute of Technology allowed her to work on cutting-edge projects related to energy management and control techniques for solar photovoltaic systems. She has also contributed to the development of innovative solutions in her capacity as a team member in various international conferences and collaborative research initiatives. Through her hands-on experience with MATLAB, Simulink, and advanced programming languages, Shruti has honed her skills in energy modeling and system analysis. Her professional journey reflects a commitment to advancing renewable energy technologies and enhancing power system reliability, establishing her as a knowledgeable and dedicated researcher in her field.

 

Research skills

Shruti Prajapati possesses a robust set of research skills that make her a standout candidate for the Excellence in Research Award. Her expertise in control techniques for renewable energy resources, particularly within microgrids, showcases her ability to tackle complex energy challenges. Proficient in MATLAB and Simulink, she utilizes these tools for energy modeling and management, facilitating the development of innovative solutions for power systems. Shruti’s work with optimization techniques and artificial neural networks demonstrates her analytical skills and commitment to enhancing energy efficiency. Moreover, her publications in high-impact journals reflect her capacity to conduct rigorous research and contribute valuable insights to the field. Her collaboration on various projects, including adaptive MPPT techniques and islanding detection, highlights her teamwork and leadership abilities. Overall, Shruti’s comprehensive skill set positions her as a promising researcher dedicated to advancing renewable energy technologies

 

Awards And Recoginition

Shruti Prajapati is a distinguished researcher currently pursuing her Ph.D. at Delhi Technological University, with a focus on control techniques for renewable energy resources. She holds an M.Tech in Power Systems & Control from the Birla Institute of Technology, where she excelled academically. Prajapati has made significant contributions to the field through her published works in high-impact journals, including innovative solutions for hybrid standalone microgrids and grid-integrated solar photovoltaic systems. Her research not only enhances theoretical understanding but also addresses practical challenges in energy management and efficiency. Recognized for her expertise in optimization techniques and artificial neural networks, she is poised to make a lasting impact on sustainable energy solutions. Prajapati’s commitment to excellence in research and her notable achievements underscore her potential as a leader in the field, making her a deserving candidate for the Excellence in Research Award.

Conclusion

Shruti Prajapati embodies the essence of the Excellence in Research Award through her exceptional academic achievements and impactful contributions to the field of renewable energy. With a strong educational background, including a Ph.D. in progress at Delhi Technological University and an M.Tech from the esteemed Birla Institute of Technology, she has demonstrated both knowledge and commitment. Her research focuses on innovative control techniques for microgrids, optimizing energy management, and enhancing reliability in renewable systems. Shruti’s notable publications in high-impact journals highlight her ability to address pressing energy challenges with creative solutions. Her work not only advances academic knowledge but also offers practical applications that can significantly improve energy efficiency and sustainability. Given her dedication, expertise, and substantial contributions, Shruti Prajapati stands out as a leading researcher and a deserving candidate for this prestigious award.

 

Publication Top Notes

  • Evolutionary Algorithm for Enhanced Performance of Grid Connected SPV System
    S. Prajapati, R. Garg, P. Mahajan
    2022, 5th International Conference on Contemporary Computing and Informatics, pp. 814-820.
    Citations: 3
  • Honey Badger Algorithm Based PI Controller for DC Link Voltage Control of Solar Photovoltaic System Connected to Grid for Enhanced Power Quality
    S. Prajapati, R. Garg, P. Mahajan
    Electric Power Components and Systems, pp. 1-20, 2024.
    Citations: 2
  • Modified Control Approach for MPP Tracking and DC Bus Voltage Regulation in a Hybrid Standalone Microgrid
    S. Prajapati, R. Garg, P. Mahajan
    Electric Power Systems Research, 236, 110935, 2024.
    Citations: 1
  • Novel Adaptive MPPT Technique for Enhanced Performance of Grid Integrated Solar Photovoltaic System
    S. Prajapati, R. Garg, P. Mahajan
    Computers and Electrical Engineering, 120, 109648, 2024.
    Citations: Not specified
  • Network Reconfiguration-Based Outage Management for Reliability Enhancement of Microgrid: A Hardware in Loop Approach
    S. Prajapati, S.K. Sahu, D. Ghosh
    In The Internet of Energy, pp. 337-357, Apple Academic Press, 2024.
    Citations: Not specified

 

Navid Ghaffarzadeh | Engineering | Best Researcher Award

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Assoc Prof Dr . Navid Ghaffarzadeh | Engineering | Best Researcher Award

Engineering,  Imam Khomeini International University,  Iran

Dr. Navid Ghaffarzadeh, an Associate Professor at I.K International University in Iran, is a distinguished researcher with a strong background in electrical engineering. His academic credentials include a PhD from Iran University of Science and Technology, and he has received numerous accolades, including the 2012 IET Science, Measurement, and Technology Premium Award and multiple awards for outstanding research and teaching.Dr. Ghaffarzadeh’s research focuses on renewable energy, smart grids, power systems protection, and the application of artificial intelligence in energy systems. He has contributed extensively to the field through numerous journal publications and industry projects, demonstrating innovative approaches to power quality and system optimization.As a reviewer for high-impact journals and an advisor on industrial projects, his expertise is recognized widely. His accomplishments and contributions make him an exemplary candidate for the Best Researcher Award in recognition of his impactful work in electrical engineering and renewable energy.

Profile:

Education

Navid Ghaffarzadeh’s academic journey reflects a solid foundation in Electrical Engineering, marked by outstanding academic achievements and specialization in power systems. He completed his PhD in Electrical Engineering at Iran University of Science and Technology, Tehran, in 2011, where his research focused on advanced power system protection. Prior to his doctoral studies, he earned his Master of Science in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2007, graduating at the top of his class with a GPA of 19.18 out of 20. He began his higher education with a Bachelor of Science in Electrical Engineering from Zanjan University in 2005, also ranking first among his peers with a GPA of 18.36 out of 20. This strong academic background laid the groundwork for his expertise in renewable energy, microgrid design, and intelligent systems, positioning him as a leading researcher in the field of electrical engineering.

Professional Experiences

Dr. Navid Ghaffarzadeh has an extensive professional background in academia and research. He began his career as an Assistant Professor at I.K International University in September 2011 and was promoted to Associate Professor in February 2018. From August 2018 to March 2022, he served as the Vice Chancellor for Research at the Faculty of Technical and Engineering, where he played a crucial role in advancing research initiatives. Following this, he was appointed Director General at the University of Applied Science and Technology from February to October 2022. Additionally, Dr. Ghaffarzadeh has been actively involved in various councils, including the Advanced Technologies Incubator Centre at I.K International University. His professional experiences reflect his leadership and commitment to fostering research and development in electrical engineering, particularly in areas related to renewable energy, smart grid technology, and power system protection, making him a key contributor to the academic community in Iran.

Research skills

Dr. Navid Ghaffarzadeh possesses a diverse range of research skills that make him a significant contributor to the field of electrical engineering. His expertise spans renewable energy systems, power quality analysis, and the application of artificial intelligence in optimizing power systems. Dr. Ghaffarzadeh has successfully led numerous research projects, including optimal solar plant placement and fault classification in photovoltaic grids, showcasing his ability to tackle complex challenges. His extensive knowledge of advanced software tools, such as MATLAB, DigSILENT, and PSCAD, enables him to conduct in-depth simulations and analyses effectively. Additionally, his experience as a reviewer for high-impact journals underscores his strong analytical skills and critical thinking abilities. Dr. Ghaffarzadeh’s ability to integrate theoretical concepts with practical applications demonstrates his commitment to advancing research in energy systems, making him a valuable asset in both academic and industrial settings

 

Award And Recoginition

Dr. Navid Ghaffarzadeh has received numerous accolades throughout his academic career, highlighting his exceptional contributions to the field of electrical engineering. Notably, he was awarded the prestigious IET Science, Measurement and Technology Premium Award in 2012 for his groundbreaking paper on power quality disturbances. His dedication and impact at I.K International University have been recognized multiple times, as he has been named Outstanding Researcher in 2013, 2014, 2016, and 2020, and Outstanding Professor in 2017, 2019, 2020, 2021, and 2023. Additionally, he earned the Best Iranian Ph.D. Dissertation award for his work in power system protection, showcasing his commitment to academic excellence. His consistent recognition reflects not only his research achievements but also his significant influence on students and peers, solidifying his status as a leading figure in the field of renewable energy and power system

Conclusion

Dr. Navid Ghaffarzadeh is an exemplary researcher whose academic background, honors, research achievements, and professional activities position him as a leading figure in the field of electrical engineering. His extensive contributions to renewable energy, power system protection, and intelligent systems demonstrate a commitment to advancing knowledge and solving critical challenges in the energy sector. His qualifications, impact, and recognition make him a highly suitable candidate for the Best Researcher Award.

Publication Top Notes

  • Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
    Authors: MAS Masoum, S Jamali, N Ghaffarzadeh
    Year: 2010
    Citations: 302
  • A new efficient BBO based method for simultaneous placement of inverter-based DG units and capacitors considering harmonic limits
    Authors: N Ghaffarzadeh, H Sadeghi
    Year: 2016
    Citations: 85
  • Identification of optimal features for fast and accurate classification of power quality disturbances
    Authors: S Jamali, AR Farsa, N Ghaffarzadeh
    Year: 2018
    Citations: 80
  • Optimal sizing of battery energy storage systems in off-grid micro grids using convex optimization
    Authors: M Zolfaghari, N Ghaffarzadeh, AJ Ardakani
    Year: 2019
    Citations: 71
  • A novel phaselet-based approach for islanding detection in inverter-based distributed generation systems
    Authors: AT Kolli, N Ghaffarzadeh
    Year: 2020
    Citations: 55
  • A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient
    Authors: B Vahidi, N Ghaffarzadeh, SH Hosseinian
    Year: 2010
    Citations: 49
  • Water cycle algorithm based power system stabilizer robust design for power systems
    Authors: N Ghaffarzadeh
    Year: 2015
    Citations: 32
  • Economic battery sizing and power dispatch in a grid-connected charging station using convex method
    Authors: P Mirhoseini, N Ghaffarzadeh
    Year: 2020
    Citations: 29
  • A new method for arcing fault location using discrete wavelet transform and wavelet networks
    Authors: S Jamali, N Ghaffarzadeh
    Year: 2012
    Citations: 26
  • A new phaselet-based method for detecting the power swing in order to prevent the malfunction of distance relays in transmission lines
    Authors: MM Ghalesefidi, N Ghaffarzadeh
    Year: 2021
    Citations: 25
  • An approach to detection of high impedance fault using discrete wavelet transform and artificial neural networks
    Authors: B Vahidi, N Ghaffarzadeh, SH Hosseinian, SM Ahadi
    Year: 2010
    Citations: 23
  • Adaptive single pole auto‐reclosing using discrete wavelet transform
    Authors: S Jamali, N Ghaffarzadeh
    Year: 2011
    Citations: 22
  • Adaptive single-pole auto-reclosure for transmission lines using sound phases currents and wavelet packet transform
    Authors: S Jamali, N Ghaffarzadeh
    Year: 2010
    Citations: 20
  • A novel differential protection scheme for AC microgrids based on discrete wavelet transform
    Authors: AHN Tajani, A Bamshad, N Ghaffarzadeh
    Year: 2023
    Citations: 19
  • A new protection scheme for high impedance fault detection using wavelet packet transform
    Authors: N Ghaffarzadeh, B Vahidi
    Year: 2010
    Citations: 19

 

 

Mohammed Alfeki | Mechanical Engineering | Best Researcher Award

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Mr. Mohammed Alfeki | Mechanical Engineering | Best Researcher Award

Lecturer of Bule Hora University, Ethiopia.

Mohammed Abdulkedir Alfeki is a dedicated lecturer at Bule Hora University, Ethiopia, with a strong academic background in Mechanical Design Engineering and Mechanical Engineering. He earned his Master’s degree from Bahir Dar Institute of Technology and his Bachelor’s degree from Wollega University, both with excellent academic records. His research interests include composite materials, nanotechnology, and optimization, as reflected in his recent publications and conference presentations. Notably, his thesis work on bamboo fiber-reinforced composites demonstrates practical applications in material science. Mohammed actively engages in continuous learning, with certifications in teaching and modeling from prestigious institutions like the British Council and Arizona State University. He is proficient in several software tools including CATIA V5, ANSYS, and MATLAB, and is skilled in working within multicultural environments. His blend of academic excellence, active research, and commitment to professional development positions him as a promising candidate for the Research for Best Researcher Award.

Profile

Education

Mohammed Abdulkedir Alfeki completed his Bachelor of Science in Mechanical Engineering at Wollega University, Ethiopia, in June 2017, graduating with a notable CGPA of 3.66/4.00. His thesis focused on “Design and Modelling of Foot Step Power Generation,” highlighting his interest in innovative energy solutions. He pursued his Master of Science in Mechanical Design Engineering at Bahir Dar Institute of Technology, Bahir Dar University, from October 2019 to October 2021. His master’s thesis, titled “Analysis of Mechanical and Physical Properties of Bamboo Fiber Reinforced Polyester with Chopped Glass Fiber Filler Composite,” earned an excellent grade with a CGPA of 3.6/4.00. Mohammed’s academic background reflects a solid foundation in mechanical engineering principles and a keen interest in materials science and sustainable engineering practices. His educational achievements underline his dedication to advancing knowledge in his field.

Professional Experience

Mohammed Abdulkedir Alfeki is a Lecturer at Bule Hora University in Ethiopia, where he has been employed since October 2021. In this role, he is responsible for teaching and community service projects, delivering lectures on various engineering subjects including Tribology, Fluid Mechanics, and Refrigeration and Air Conditioning. His work involves not only imparting technical knowledge but also engaging in research and contributing to community development. Prior to this, he completed his Master’s degree in Mechanical Design Engineering at Bahir Dar Institute of Technology, where he conducted research on bamboo fiber-reinforced polyester composites. His professional experience is complemented by a solid academic background and a commitment to continuous learning, evidenced by several recent certifications in areas such as communication skills, online teaching, and energy modeling. Mohammed’s role at the university and his research activities reflect his dedication to advancing engineering education and innovation.

Research Interest

Mohammed Abdulkedir Alfeki’s research interests are centered on advancing the fields of composite materials, nanotechnology, and polymer science. His work explores the development and optimization of innovative materials, particularly focusing on bamboo fiber-reinforced composites and their applications. By integrating ceramic composites and nanotechnology, he aims to enhance the mechanical and physical properties of materials for various engineering applications. His research involves analyzing and optimizing composite structures to improve their performance and sustainability. Additionally, his interest in polymer science involves investigating the behavior and applications of polymers in different environments. Through his work, Mohammed seeks to contribute to the development of advanced materials that can address contemporary engineering challenges and support sustainable technological advancements. His academic background and ongoing research reflect a commitment to pushing the boundaries of material science and engineering.

Research Skills

Mohammed Abdulkedir Alfeki possesses robust research skills that underscore his potential as a leading researcher. His expertise in composite materials, nanotechnology, and polymer science is evidenced by his high-quality research outputs, including his notable publications on bamboo fiber-reinforced composites and photovoltaic performance. Proficient in advanced software such as CATIA V5, ANSYS, MATLAB, and OriginPro, he excels in 3D modeling and numerical analysis, crucial for his research on material properties and optimization. His ability to integrate theoretical knowledge with practical applications is reflected in his thesis work and ongoing projects. Additionally, Mohammed’s participation in various training programs, including those on energy modeling and global entrepreneurship, highlights his commitment to continuous learning and adaptability. His strong analytical skills, combined with his proficiency in utilizing sophisticated tools and methodologies, position him as a valuable asset in his field.

Award and Recognition

Mohammed Abdulkedir Alfeki has shown exceptional academic and research prowess in his field, earning recognition for his achievements. He completed his Master of Science in Mechanical Design Engineering with an excellent thesis on bamboo fiber-reinforced composites, reflecting his innovative approach to material science. His research on the mechanical and physical properties of composites has been published in the journal Advances in Materials Science and Engineering. Additionally, Mohammed has presented his work at international conferences, such as the International Conference on Environmental Protection and Energy, highlighting his contributions to photovoltaic performance studies. His commitment to professional growth is further evidenced by numerous certifications, including those from the British Council and Arizona State University. These accomplishments underscore his dedication to advancing engineering research and education, positioning him as a noteworthy candidate for awards recognizing research excellence and innovation.

Conclusion

Mohammed Abdulkedir Alfeki is a strong candidate for the Research for Best Researcher Award. His academic achievements, relevant research interests, and commitment to professional development demonstrate his potential. By focusing on enhancing research impact, expanding international collaborations, and diversifying his research topics, he could further strengthen his profile and increase his chances of receiving the award.

Publication Top Notes

Water Absorption, Thermal, and Mechanical Properties of Bamboo Fiber with Chopped Glass Fiber Filler-Reinforced Polyester Composites

  • Journal: Advances in Materials Science and Engineering
  • Year: 2024
  • Volume: 2024
  • Article ID: 6262251
  • Authors: M.A. Alfeki, E.A. Feyissa
  • Citations: 1

 

Tran Thi Bich Chau Vo | Engineering | Innovation Excellence Award

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Ms. Tran Thi Bich Chau Vo | Engineering | Innovation Excellence Award

Ph.D Candidate of National Kaohsiung University of Science and Technology, Taiwan.

Tran Thi Bich Chau Vo is a lecturer at Can Tho University, Vietnam, specializing in Industrial Engineering and Management. She has a diverse professional background, including her role as Head of Research and Development at Thanhcong Textile Garment Investment Trading JSC and as a staff member at Garment Fashion Limited. Currently pursuing a Ph.D. at the National Kaohsiung University of Science and Technology in Taiwan, her research focuses on improving process efficiency through workflow reengineering and value stream mapping. She holds a Master’s degree in Industrial and Systems Engineering and a Bachelor’s in Garment Technology and Fashion. Tran has expertise in lean manufacturing, production planning, and optimization, contributing to various research projects and publications. Her work has been recognized in fields such as waste management, aquaculture, and smart manufacturing. Additionally, she has served as a reviewer for international journals and participated in multiple research grants.

Profile

Education

Tran Thi Bich Chau VO is currently pursuing her Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, with an expected completion date in December 2024. Her Ph.D. research focuses on enhancing processing efficiency through workflow process reengineering, simulation, and value stream mapping. Prior to this, she earned a Master of Engineering in Industrial and Systems Engineering from the Ho Chi Minh City University of Technology, Vietnam National University, in 2014. Her master’s thesis investigated the effects of lean manufacturing on a garment production line. She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, which she completed in 2011. Her undergraduate thesis explored improved patterns for production processes. Tran Thi Bich Chau VO’s educational background demonstrates her expertise in industrial management and lean manufacturing practices, positioning her well for academic and industrial leadership.

Professional Experience

Tran Thi Bich Chau VO is a dedicated academic and industry professional with extensive experience in both academia and industrial management. Since August 2014, she has been a Lecturer at the Faculty of Industrial Management at Can Tho University in Vietnam, where she has focused on educating students in production planning, lean manufacturing, and facility layout. Prior to her academic role, she held significant industry positions, including Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company from 2012 to 2014. She also worked as a staff member in the Work Study Department at Garment Fashion Limited, honing her skills in industrial systems and operations management. Her professional journey reflects a strong background in industrial engineering and management, with practical experience in improving production efficiency and applying lean methodologies in various sectors.

Research Interest

Tran Thi Bich Chau VO’s research interests focus on industrial engineering, lean manufacturing, and supply chain optimization. She has a keen interest in improving processing efficiency through techniques like workflow process reengineering, value stream mapping, and simulation modeling. Her work primarily explores lean production technologies in various industries, including garment manufacturing, aquaculture processing, and fishery product supply chains. Additionally, she is passionate about environmental sustainability, evidenced by her research on green waste management, smart manufacturing, and material flow cost accounting. Tran has also contributed significantly to digital transformation, particularly in developing digital twin platforms for smart agents in manufacturing. Her research endeavors highlight a strong focus on enhancing operational productivity while reducing waste, aligning with both industrial and environmental goals. Through her academic and practical projects, she aims to bridge the gap between theoretical frameworks and real-world applications, driving innovation in industrial management and sustainable development.

Research Skills

Tran Thi Bich Chau VO demonstrates a wide range of research skills, particularly in industrial engineering, workflow optimization, and lean manufacturing. Her expertise includes the use of advanced simulation tools like Arena, Matlab, Lingo, and Minitab, which she applies to reengineering processes and improving efficiency. Her research projects, such as value stream mapping and genetic algorithm-based optimization, highlight her ability to solve complex problems in supply chain management and production systems. Additionally, her proficiency in interdisciplinary areas like aquaculture and environmental management, evidenced by her work on material flow cost accounting and green waste management, showcases her versatility. She has contributed to numerous publications in top journals, further emphasizing her ability to conduct impactful research. Her skills in reviewing scientific papers and her involvement in international research collaborations reflect her strong analytical capabilities and dedication to advancing both academic and practical applications in industrial engineering.

Award and Recognition

Tran Thi Bich Chau VO has garnered significant recognition for her contributions to industrial engineering, particularly in the fields of workflow process reengineering, simulation, and value stream mapping. She has served as a lead researcher on numerous projects, such as improving the efficiency of Pangasius fillet production and optimizing supply chains in Vietnam’s aquaculture industry. Her expertise has led to her publications being featured in prestigious journals, including Business Process Management Journal, Engineering Management Journal, and Aquaculture. In addition to her academic achievements, Tran Thi Bich Chau has actively contributed to industrial innovations, particularly in the implementation of lean production technologies in various companies. Her role as a reviewer for well-known journals further highlights her standing in the research community. Tran Thi Bich Chau’s leadership in research projects and extensive publication record exemplify her as an innovative and influential figure in industrial engineering and supply chain management.

Conclusion

Tran Thi Bich Chau VO is a strong candidate for the Research for Innovation Excellence Award. Her leadership in innovative projects, extensive research contributions, and interdisciplinary expertise position her well for this honor. Expanding her research into cutting-edge technologies and gaining broader international recognition could further solidify her candidacy.

Publication Top Notes

  1. A comprehensive review of aeration and wastewater treatment
    • Authors: N.T. Nguyen, T.S. Vo, P.L. Tran-Nguyen, K. Kim, T.T.B.C. Vo
    • Year: 2024
    • Citations: 0
  2. A comprehensive review of laser processing-assisted 2D functional materials and their specific applications
    • Authors: T.S. Vo, B. Jeon, V.P.T. Nguyen, T.T.B.C. Vo, K. Kim
    • Year: 2024
    • Citations: 0
  3. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
    • Authors: T.S. Vo, T. Hoang, T.T.B.C. Vo, V.H. Nguyen, K. Kim
    • Year: 2024
    • Citations: 3
  4. Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives
    • Authors: N.T. Nguyen, P.L. Tran-Nguyen, T.T.B.C. Vo
    • Year: 2024
    • Citations: 1
  5. Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: a case study of business process reengineering
    • Authors: C.-N. Wang, T.T.B.C. Vo, H.-P. Hsu, N.T. Nguyen, N.-L. Nhieu
    • Year: 2024
    • Citations: 0
  6. Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study
    • Authors: C.-N. Wang, T.T.B.C. Vo, Y.-C. Chung, Y. Amer, L.T. Truc Doan
    • Year: 2024
    • Citations: 0
  7. Optimal microgrid design and operation for sustainable shrimp farming
    • Authors: N.N. Tien, V.T.T.B. Chau, P.V. Hoan
    • Year: 2023
    • Citations: 0
  8. Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam
    • Authors: N.T.L. Thuy, V.T.T.B. Chau, H.T. Phong, T.T. Tham
    • Year: 2023
    • Citations: 0
  9. Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ)
    • Authors: Y. Amer, L.T.T. Doan, T.T.B.C. Vo
    • Year: 2023
    • Citations: 0
  10. Improving Inventory Time in Production Line through Value Stream Mapping: A Case Study
    • Authors: N.T. Nguyen, T.T.B.C. Vo, P.H. Le, C.-N. Wang
    • Year: 2023
    • Citations: 2