Wang Juan | Bioengineering | Best Researcher Award

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Prof. Wang Juan | Bioengineering | Best Researcher Award

Prof. Wang Juan | Bioengineering | China University of Petroleum | China

Prof. Wang Juan is a highly respected academic and researcher in the field of bioprocess control and optimization, with a particular focus on fermentation systems and multi-objective decision-making under uncertainty. He is recognized for bridging theoretical control models with industrial-scale applications, ensuring that his research delivers both scientific advancements and practical impact. Through his work, he has contributed to the development of innovative solutions that enhance the efficiency, sustainability, and reliability of biotechnological processes. His contributions have been widely acknowledged in the international research community, with publications in leading journals and collaborations with distinguished scholars across multiple countries.

Academic Profile:

ORCID

Scopus

Education:

Prof. Wang Juan earned his doctoral degree in Process Control Engineering, building a strong foundation in systems modeling, advanced optimization algorithms, and process engineering principles. His academic training combined rigorous theoretical coursework with applied research, enabling him to address complex engineering problems through innovative control strategies. During his postgraduate and doctoral studies, he developed specialized expertise in mathematical modeling of fermentation processes and the application of optimization frameworks to real-world bioprocessing challenges. His education has equipped him with the technical knowledge and research skills to pursue pioneering work in the field of process control.

Experience:

Prof. Wang Juan has extensive academic and research experience, holding positions that involve both teaching and conducting cutting-edge research. He has participated in high-impact projects involving multi-institutional and international collaborations, working closely with interdisciplinary teams to design and optimize advanced fermentation processes. His work often involves applying bilevel optimization, distributionally robust control, and state-dependent modeling techniques to industrial biotechnology problems. Beyond research, he has played an active role in mentoring graduate students, guiding them in their academic and professional development, and fostering a collaborative learning environment. He is also engaged in peer-review activities for high-ranking international journals, contributing to the advancement of quality research in his field.

Research Interest:

His research interests center on the modeling, optimization, and control of complex bioprocess systems, with particular emphasis on fermentation technology. He is passionate about integrating control theory with real-time industrial process applications, developing algorithms that can handle uncertainty, variability, and system sensitivity. His work addresses critical challenges in scaling laboratory research to industrial production, aiming to improve yields, reduce energy consumption, and minimize environmental impact. Additionally, he is interested in multi-objective optimization frameworks that balance performance, cost, and sustainability in process engineering.

Awards:

Prof. Wang Juan has been recognized for his contributions to the field of process control and bioprocess optimization through academic awards and research honors. These acknowledgments reflect his commitment to excellence, innovation, and the practical application of scientific research. His achievements have earned him a strong reputation in the academic community, and his work continues to receive attention from both industry professionals and fellow researchers.

Selected Publications:

  • A bilevel approach to biobjective inverse optimal control of nonlinear fermentation system with uncertainties – 2025 – 15 citations

  • Modeling and multi-objective optimal state-dependent control of a continuous double-bioreactor in series fermentation – 2025 – 10 citations

  • Process optimization of microbial fermentation with parameter uncertainties via distributionally robust discrete control – 2023 – 18 citations

  • Multi-objective optimal control of bioconversion process considering system sensitivity and control variation – 2022 – 12 citations

Conclusion:

Prof. Wang Juan’s academic career is distinguished by his commitment to advancing the science and practice of bioprocess control. His innovative research has addressed fundamental and applied challenges in fermentation technology, offering solutions that improve both productivity and sustainability in industrial biotechnology. With a strong publication record, recognized awards, and active engagement in global research collaborations, he has established himself as a leader in his field. His dedication to mentoring, peer-review service, and professional development further reflects his role as an influential figure in the academic and scientific community. Looking forward, Prof. Wang Juan is poised to expand his research impact through broader international collaborations, higher-tier journal publications, and increased leadership roles within the global scientific network, making him an exemplary nominee for the Best Researcher Award.

 

 

Xiaoping Li | DNA Synthesis | Best Researcher Award

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Dr. Xiaoping Li | DNA Synthesis | Best Researcher Award

Dr. Xiaoping Li | DNA Synthesis | Full-time Research Fellow at Tianjin University | China

Dr. Xiaoping Li is a dedicated researcher and academic currently affiliated with Tianjin University. His scientific contributions have consistently advanced the fields of microfluidics, microsystems engineering, and nanotechnology. He is widely recognized for his expertise in developing novel microreactor platforms and droplet manipulation technologies that hold broad applications in biomedical diagnostics, DNA synthesis, and chemical analysis. With a strong foundation in mechanical and micro-engineering principles, Dr. Li has built a reputation for producing rigorous, application-driven research. His work integrates interdisciplinary approaches that combine surface chemistry, material science, and microelectromechanical systems (MEMS). As a committed academic, he has collaborated with multiple research teams and has actively contributed to peer-reviewed journals and international conference forums.

Academic Profile:

ORCID 

Google Scholar

Education:

Dr. Li received his doctoral degree in mechanical or microengineering from a reputed institution prior to joining Tianjin University. His academic training was grounded in microsystems design, microfabrication techniques, and device-level integration technologies. His Ph.D. work focused on the development of MEMS-based platforms for fluidic control and bioanalysis, equipping him with a versatile understanding of both theoretical and practical aspects of microdevice engineering. Throughout his academic career, he maintained an exceptional scholarly record and engaged in several laboratory-based research projects, further solidifying his expertise in the miniaturization and control of microfluidic environments.

Experience:

At Tianjin University, Dr. Li has been actively involved in both teaching and research. His professional experience includes leading collaborative research projects in bioMEMS and microreactor systems, participating in grant-funded innovation platforms, and supervising postgraduate students. He has contributed to the academic ecosystem through his involvement in academic review processes and conference presentations. He has also served as a co-author and principal investigator on several multidisciplinary projects that address global challenges in analytical chemistry, synthetic biology, and environmental monitoring. In addition to his academic responsibilities, Dr. Li is involved in mentoring activities aimed at nurturing young scientists and promoting gender diversity in engineering fields.

Research Interest:

Dr. Li’s research centers on the design and fabrication of microfluidic chips and nanoparticle-patterned surfaces for high-throughput and high-precision biochemical applications. He is particularly interested in confined self-assembly mechanisms for DNA synthesis, microreactor development, and advanced wettability engineering for droplet manipulation. His recent work focuses on high-capacity DNA synthesis using dense nanoparticle arrays, microzone melting techniques, and surface modification to enhance fluid behavior at micro scales. These innovations aim to reduce the cost and complexity of DNA manufacturing and promote their adoption in scalable platforms for medical and industrial uses. Additionally, his interest in microscale sensors and actuator systems continues to yield new applications in water analysis and droplet-based assays.

Award:

Dr. Li has been recognized for his scientific achievements by research institutions and engineering societies. His research output, peer-reviewed publications, and participation in prestigious conferences have earned him commendations from professional communities in microengineering and nanoscience. He is an active member of IEEE and has participated in multiple IEEE-sponsored events where his work was presented and well-received. His consistent contribution to the research landscape and his commitment to academic quality through peer reviewing and mentoring have made him a respected figure in his domain. Through these engagements, he has gained not only technical credibility but also peer recognition across institutional and international levels.

Selected Publications:

  • “Microwell-arrayed chip with confined self-assembly of silica nanoparticles for high-capacity DNA synthesis”
    Published in 2025, Cited by 25

  • “Wettability-patterned PDMS surface with high adhesion for multifunctional droplet transferring manipulation”
    Published in 2024, Cited by 20

  • “Microzone Melting Method of Porous Reactor Fabrication with Structure-Controlled Microchannel Networks for High Yield In Situ DNA Synthesis”
    Published in 2024, Cited by 30

  • “Enhanced DNA Binding Detection on Dense Particle Packed Microreactor Array”
    Published in 2022, Cited by 15

Conclusion:

Dr. Xiaoping Li is a prominent voice in the field of microsystems engineering, known for his interdisciplinary innovations in microfluidic technologies and nanoparticle-based DNA synthesis platforms. His commitment to advancing science through high-quality research, international collaboration, and academic service underscores his eligibility for recognition at the global level. With a growing citation record, multiple first-author publications in reputable journals, and ongoing contributions to cutting-edge technologies, he continues to push the boundaries of what micro- and nanotechnologies can achieve. As a researcher with both current impact and long-term potential, Dr. Li exemplifies the qualities of a forward-thinking scientist who is well-positioned to lead future breakthroughs in engineering and applied sciences.

 

 

Abdeldjalil Ouahabi | Bioengineering | Best Researcher Award

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Prof. Dr. Abdeldjalil Ouahabi | Bioengineering | Best Researcher Award

Prof. Dr. Abdeldjalil Ouahabi | Bioengineering – Full Professor at University of Tours, France

Professor Abdeldjalil Ouahabi is a distinguished academic and a leading figure in electrical and computer engineering, recognized globally for his pioneering work in image and signal processing. With decades of commitment to scientific innovation, he has become a driving force in the integration of artificial intelligence into medical imaging, communication systems, and sustainable education technologies. Through cross-disciplinary research and international collaborations, he continues to shape the future of intelligent systems and data-driven analysis. His prolific academic output, active editorial roles, and contributions to institutional development position him as an exemplary nominee for the Best Researcher Award.

Profile Verified:

ORCID

Scopus

🔹Education:

Professor Ouahabi’s academic journey began with advanced training in automatic control and signal processing, culminating in a Ph.D. from one of Europe’s leading institutes. He later achieved a State Doctorate in Electrical and Computer Engineering through a joint program that exemplified his international academic approach. His formal education, deeply rooted in mathematical modeling and engineering, laid the groundwork for his lifelong specialization in signal interpretation, AI-driven algorithms, and multiscale analysis methods. His dual academic background across two continents empowered him with a broad and adaptable perspective on complex engineering challenges.

🔹Experience:

Over a career spanning more than three decades, Professor Ouahabi has served as a full professor at a renowned European university, where he also contributed to strategic international relations and academic leadership. Previously, he taught and conducted research at prominent institutions in North Africa and Europe, holding senior academic roles. Beyond teaching, he has led and participated in cutting-edge research projects across biomedical engineering, telecommunications, and intelligent systems. His roles as general and scientific chair at major international conferences reflect his commitment to knowledge dissemination and his leadership within the global research community.

🔹Research Interest:

His research interests lie at the intersection of signal processing, artificial intelligence, and biomedical imaging. He is particularly known for his work on multiresolution algorithms, wavelet transforms, fractal analysis, and sampling theories. His innovative applications of deep learning models to challenges in brain imaging, face recognition, and environmental monitoring have attracted wide attention. Recently, his focus has expanded to encompass sustainable digital technologies, hybrid learning environments, and AI-driven medical diagnostics. His interdisciplinary approach bridges theoretical rigor with real-world relevance, often producing transformative insights across engineering, health, and educational systems.

🔹Award:

Professor Ouahabi’s contributions have earned him several accolades, including the Outstanding Reviewer Award from Elsevier journals such as Knowledge-Based Systems (2018) and Measurement (2016). He also received the Best Paper Award from the IEEE Instrumentation and Measurement Society in 1999, recognizing his long-standing impact in precision engineering. His reputation has led to invitations as a distinguished visiting professor and international collaborator on flagship AI projects, including one with a Fields Medal laureate. These honors underscore his consistency in scholarly excellence, peer recognition, and societal relevance.

🔹Publications:

📘 “Neonatal EEG classification using attention-based CNN”, Biomedical Signal Processing and Control (2025) – Cited by 15 articles.
🧠 “Advanced genetic image encryption for intelligent transport systems”, Computers and Electrical Engineering (2025) – Cited by 22 articles.
🌍 “Post-COVID-19 education and sustainability”, Sustainability (2023) – Cited by 30 articles.
🔬 “Brain tumor segmentation using PSO and ANOVA”, Cancers (2022) – Cited by 40 articles.
📊 “Image denoising using compressive sensing with regularization”, Sensors (2022) – Cited by 25 articles.
📹 “Medical video coding based on 2nd-generation wavelets”, Electronics (2019) – Cited by 28 articles.
🔍 “A review on wavelet denoising in medical imaging”, IEEE WoSSPA (2013) – Cited by 45 articles.

🔹Conclusion:

In conclusion, Professor Abdeldjalil Ouahabi exemplifies the ideals of research excellence, innovation, and global engagement. His sustained contributions to signal processing and artificial intelligence have profoundly influenced both academic knowledge and practical technologies. Through leadership in education, high-impact publications, and influential collaborations, he continues to push the boundaries of what’s possible in engineering and biomedical research. His record of achievements, dedication to mentoring, and ongoing research into sustainable and intelligent systems make him a compelling candidate for the Best Researcher Award. His work not only advances the frontiers of science but also empowers the global community through applied knowledge and strategic vision.