SaiTeja Chopparapu | Engineering | Best Researcher Award

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SaiTeja Chopparapu | Engineering | Best Researcher Award

Assistant Professor at St. PETERS Engineering College, India.

Saiteja Chopparapu is an emerging researcher and educator with expertise in electronics and communication engineering. Driven by a passion for innovation, he has completed a PhD (submitted in October 2023) and holds an MTech in Sensor System Technology. As an Assistant Professor at St. Peters Engineering College, he instructs students in Digital Electronics, IoT Architecture, and Image Processing, blending theoretical and practical knowledge. His academic background and professional experience demonstrate a keen ability to conduct research, mentor students, and stay abreast of technological advancements. Saiteja’s skills extend to managing labs and guiding students in hands-on learning, emphasizing his dedication to fostering a supportive, inclusive learning environment. His technical proficiencies, internships, and continuous skill development through various FDPs highlight his commitment to growth in his field. Saiteja’s ultimate goal is to contribute significantly to advancements in electronics and sensor technologies through research, teaching, and collaboration.

Profile

Scopus

Education

Saiteja Chopparapu has a solid academic foundation, culminating in a PhD in Electronics and Communication Engineering from GITAM University, submitted in October 2023. He also holds an MTech in Sensor System Technology from Vellore Institute of Technology (VIT), where he achieved an impressive 8.49 CGPA in 2019. His undergraduate degree is in Electronics and Communication Engineering from Dhanekula Institute of Engineering and Technology, affiliated with JNTUK, where he earned a respectable 65.33% in 2017. Prior to university, he excelled in Intermediate MPC at Sri Chaitanya Junior College with an 88.4% and achieved an 84.67% in SSC at Ratnam High School. This progressive academic trajectory showcases his commitment to mastering electronics and communication, establishing a strong basis for both his research and teaching pursuits.

Professional Experience

Saiteja has recently embarked on an academic career as an Assistant Professor at St. Peters Engineering College, affiliated with JNTUH. Since February 2024, he has taught courses such as Digital Electronics, IoT Architecture, and Image Processing, integrating his research and industry knowledge into the classroom. In addition to his teaching duties, he serves as a lab-in-charge for first-year B.Tech students, where he provides foundational instruction in C programming and supports students in developing core problem-solving skills. His experience includes hands-on internships, including a 9-month tenure at RCI, DRDO, where he contributed to GUI development for capacitive-based sensors, and a 30-day internship at Effectronics Pvt. Limited focusing on equipment testing and fault elimination in signaling systems. These experiences enhance his teaching and research capabilities, showcasing a well-rounded skill set in academia and applied engineering.

Research Interests

Saiteja’s research interests lie at the intersection of electronics, sensor technologies, and IoT systems. With a background in Sensor System Technology and Electronics and Communication Engineering, he is especially passionate about advancing sensor-based innovations that support IoT and automated systems. He is enthusiastic about exploring new trends and technological advancements in electronics that can improve both industrial applications and day-to-day devices. Saiteja’s current focus includes the development of capacitive-based sensors, a technology he worked on during his internship with RCI, DRDO. His commitment to staying informed on cutting-edge methodologies is further evidenced by his participation in various IEEE conferences and workshops, where he has engaged with topics such as IoT, microelectronics, and PCB design. Saiteja aims to drive transformative research in electronics, contributing to the evolution of intelligent systems and sustainable technology solutions.

Research Skills

Saiteja possesses a strong set of research skills, evidenced by his ability to lead projects and secure funding. His technical skills span software and programming languages, including MATLAB, Simulink, Python, and Embedded C, which enable him to tackle complex problems in sensor technology and electronics. His proficiency in developing GUIs, gained during his time at RCI, DRDO, showcases his capability in integrating software with hardware applications, a valuable skill for sensor-based IoT research. Saiteja is an effective communicator, both in written and verbal forms, allowing him to present his research clearly and engage with a wide array of audiences. His dedication to professional development is evident from his completion of over 40 FDP programs on diverse topics, indicating a proactive approach to skill enhancement and staying updated on evolving technologies in his field.

Awards and Honors

Throughout his academic journey, Saiteja has earned several accolades that underscore his dedication to excellence. He received a Certificate of Merit for securing second place in the DIET Techno Fest’s technical exhibition in 2015, where he showcased his technical acumen among his peers. He has also demonstrated leadership by organizing events and exhibitions during his school and university days. In addition to his technical achievements, Saiteja was the runner-up in a group dance performance at DIET’s Annual Day in 2016-17, reflecting his well-rounded abilities and active involvement in extracurricular activities. His participation in numerous workshops and conferences, including IEEE and IoT workshops, further illustrates his commitment to continuous learning and professional development. Saiteja’s achievements highlight both his academic prowess and his willingness to engage in collaborative and diverse learning experiences.

Conclusion:

Saiteja Chopparapu demonstrates strong academic qualifications, relevant technical skills, and a commitment to teaching and research, which are aligned with the requirements for the Best Researcher Award. However, enhancing their profile through more extensive research publications, impactful awards, and community-oriented projects would strengthen their competitiveness for this award. Based on their current achievements, they are a promising candidate, though further research contributions would solidify their fit for the award.

Publications Top Notes

“Enhancing Visual Perception in Real-Time: A Deep Reinforcement Learning Approach to Image Quality Improvement”

Authors: Chopparapu, S., Chopparapu, G., Vasagiri, D.

Year: 2024

Journal: Engineering, Technology and Applied Science Research

Volume: 14, Issue: 3, Pages: 14725–14731

Citations: 0

“A Hybrid Facial Features Extraction-Based Classification Framework for Typhlotic People”

Authors: Chopparapu, S., Joseph, B.S.

Year: 2024

Journal: Bulletin of Electrical Engineering and Informatics

Volume: 13, Issue: 1, Pages: 338–349

Citations: 2

“An Efficient Multi-Modal Facial Gesture-Based Ensemble Classification and Reaction to Sound Framework for Large Video Sequences”

Authors: Chopparapu, S., Seventline, J.B.

Year: 2023

Journal: Engineering, Technology and Applied Science Research

Volume: 13, Issue: 4, Pages: 11263–11270

Citations: 4

“A Hybrid Learning Framework for Multi-Modal Facial Prediction and Recognition Using Improvised Non-Linear SVM Classifier”

Authors: Saiteja, C., Seventline, J.B.

Year: 2023

Journal: AIP Advances

Volume: 13, Issue: 2, Article: 025316

Citations: 8

“GUI for Object Detection Using Voila Method in MATLAB”

Authors: Chopparapu, S.T., Beatrice Seventline, J.

Year: 2020

Journal: International Journal of Electrical Engineering and Technology

Volume: 11, Issue: 4, Pages: 169–174

Citations: 2

NIDAL EL BIYARI | Engineering | Women Researcher Award

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Dr. NIDAL EL BIYARI | Engineering | Women Researcher Award

PhD student, EUROMED UNIVERSITY OF FEZ, MOROCCO

Dr. Nidal El-Biyari, a PhD student in Mechatronics Engineering at the Euromed University of Fez, is a strong candidate for the Women Best Researcher Award. Her thesis on designing an opto-fluidic biosensor for breast cancer diagnosis demonstrates her commitment to addressing critical healthcare challenges. Dr. El-Biyari has published significant research in top-tier journals, showcasing her innovative approach to biosensing technologies. With practical experience gained from internships and engineering roles, she has developed strong skills in CAD, robotics, and project management. Her teaching experience at the Euromed Polytechnic School reflects her ability to mentor and inspire future engineers. Additionally, her active involvement in organizing academic events and contributions to the UEMF Student Times highlight her dedication to fostering a supportive research community. Overall, Dr. El-Biyari’s impressive achievements and unwavering commitment to advancing engineering make her a deserving recipient of the Women Best Researcher Award.

Profile

Orcid

Education 

Dr. Nidal El-Biyari is currently a PhD student specializing in Mechatronics Engineering at the Euromed University of Fez, where she is focused on developing an opto-fluidic biosensor for breast cancer diagnosis and monitoring. She has a solid educational foundation, having earned her engineering degree in Mechatronics from the Faculty of Science and Technology of Fes, Morocco. Throughout her academic career, Dr. El-Biyari has demonstrated a strong commitment to her studies, completing multiple years in the State Engineer cycle in Mechatronics. She also holds a degree in Mathematics, Computer Science, and Physics, further enhancing her technical proficiency. Her academic journey has been marked by excellence, evident in her achievements and contributions to research in advanced biosensing technologies. Dr. El-Biyari’s diverse educational background and ongoing research efforts position her as a promising leader in her field, contributing significantly to the advancement of medical technologies.

Professional Experiences

Dr. Nidal El-Biyari has cultivated a robust professional foundation in engineering, primarily within the field of mechatronics. She served as an engineer at Floquet Monopole Industrie, where she focused on improving CAD designs and enhancing the functionality of industrial machinery. Her role as an engineer assistant intern at Lesaffre Fes involved working on the HDA 75 separator machine, further sharpening her practical engineering skills. Additionally, her internship at CBGN allowed her to gain insights into the operational principles of various machines in a production environment. Dr. El-Biyari has also demonstrated her commitment to education through her teaching experience at the Euromed Polytechnic School, where she supervised and mentored students in subjects like geometric optics and fluid mechanics. This diverse array of experiences highlights her technical proficiency and dedication to both research and mentoring, making her a valuable asset in any engineering or academic setting.

Research Interests

Dr. Nidal El-Biyari’s research interests are deeply rooted in the development of cutting-edge technologies for healthcare applications, with a focus on biosensing and microfluidic systems. Her primary area of research revolves around the design, modeling, and production of opto-fluidic biosensors, specifically aimed at improving the early diagnosis and monitoring of breast cancer. Additionally, Dr. El-Biyari is passionate about integrating 3D printing technologies with biosensor design, advancing the field of additive manufacturing for biomedical applications. Her work also explores surface plasmon resonance (SPR) biosensors, enhancing their performance for highly sensitive diagnostic tools. Beyond healthcare, she is interested in the intersection of robotics, optics, and mechatronics, particularly in creating automated systems that optimize precision and efficiency. Through her research, Dr. El-Biyari aims to develop innovative solutions that address critical challenges in medical diagnostics, demonstrating a commitment to improving both healthcare technologies and patient outcomes.

 

Research Skills

Dr. Nidal El-Biyari possesses a diverse array of research skills that make her a standout candidate for the Women Best Researcher Award. Her expertise in designing and modeling opto-fluidic biosensors showcases her proficiency in advanced engineering concepts, particularly in biosensing technologies. With a strong foundation in 3D printing, she applies additive manufacturing techniques to enhance the quality of microfluidic chip fabrication. Dr. El-Biyari is adept in utilizing software such as CATIA V5 and SolidWorks for computer-aided design, as well as MATLAB for data analysis and simulations. Her familiarity with surface plasmon resonance (SPR) biosensing reflects her capability in optical engineering, allowing her to explore innovative sensing solutions for medical diagnostics. Moreover, her participation in international conferences and her published works demonstrate her ability to effectively communicate research findings and collaborate with peers in the scientific community. Overall, Dr. El-Biyari’s comprehensive research skills contribute significantly to her ongoing success and impact in her field.

Awards and Honors

Dr. Nidal El-Biyari has received significant recognition for her groundbreaking research in mechatronics and biosensor technology. Her work on developing an opto-fluidic biosensor for breast cancer detection has been presented at renowned international conferences, including the International Conference on Advanced Functional Materials for Optics and the Fifth International Conference on Materials and Environmental Science. She has co-authored several high-impact publications, including in journals like Optical and Quantum Electronics and Sensors International. Dr. El-Biyari was also a finalist in the ENJOYEERING JUNIOR competition, where she showcased her expertise in robotics and engineering design. Her leadership and innovation were further acknowledged through her role in organizing the USMBA FSTF Enterprises Forum and contributing to the editorial committee of the UEMF Student Times. These accolades reflect her dedication to advancing scientific knowledge and her contributions to both research and the academic community.

Conclusion

Overall, Dr. Nidal El-Biyari is an exemplary candidate for the Women Best Researcher Award. Her academic achievements, innovative research contributions, extensive professional experience, and active community involvement collectively demonstrate her exceptional capabilities and commitment to advancing the field of mechatronics engineering. Recognizing her efforts with this award would not only honor her achievements but also inspire future generations of women in research.

Publication Top Notes

Title: Plasmon Induced Transparency and Waveguide Mode Based Optical Biosensor for Self-Referencing Sensing
Journal: Sensors International
Year: 2024
DOI: 10.1016/j.sintl.2024.100283
Contributors: Nidal El Biyari, Ghita Zaz, Latifa Fakri Bouchet, Mohssin Zekriti
Citations: To be determined (as the article was published in 2024, citation count may not be available yet).

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