Fang Mi | Optical Biosensing Technologies | Best Researcher Award

Dr. Fang Mi | Optical Biosensing Technologies | Best Researcher Award

Dr. Fang Mi, Xinjiang normal university, China

Dr. Fang Mi is a Lecturer at the School of Chemistry and Chemical Engineering, Xinjiang Normal University. She specializes in biosensing technologies, particularly Surface-Enhanced Raman Scattering (SERS) using nano hotspots and magnetic materials for pathogen detection. With a commitment to scientific innovation, she has spearheaded several funded research projects and holds national patents. Her groundbreaking contributions have led to high-impact publications in renowned international journals.

👤 Profile

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🎓 Education

Dr. Mi received comprehensive training in both microbiology and analytical chemistry, forming a strong interdisciplinary foundation for her research in biosensors. Her academic journey has empowered her to explore cutting-edge diagnostic tools for environmental and biological analysis.

💼 Experience

As a full-time lecturer at Xinjiang Normal University, Dr. Mi has been actively involved in teaching and mentoring students while managing rigorous research projects. She has also played a leading role in youth scientific innovation and regional R&D programs, contributing to the academic development of Western China.

🔬 Research Interests

Dr. Mi’s research focuses on SERS biosensors, with special attention to embedded probes and sandwich-structured detection systems. She investigates dual-mode colorimetric/SERS techniques and MOF-based substrates to enhance detection of pathogens and antibiotic residues, significantly benefiting food safety and public health monitoring.

🏅 Awards

Dr. Mi is a nominee for the Best Researcher Award in recognition of her outstanding work on SERS-based biosensor development. Her innovative contributions have already earned her multiple research grants and a national invention patent.

📚 Publication Top Notes

Synergistic effect of boric acid affinity magnetic materials and multi-hotspot SERS substrates for high sensitivity detection of glucose
Multifunctional nanozymatic biosensors: Awareness, regulation and pathogenic bacteria detection
A SERS biosensor based on aptamer-based Fe3O4@SiO2@Ag magnetic recognition and embedded SERS probes for ultrasensitive simultaneous detection of Staphylococcus aureus and Escherichia coli
Integration of three non-interfering SERS probes combined with ConA-functionalized magnetic nanoparticles for extraction and detection of multiple foodborne pathogens
Application progress of magnetic molecularly imprinted polymers chemical sensors in the detection of biomarkers

Oussama El Othmani | Soft Computing | Best Academic Researcher Award

Mr. Oussama El Othmani | Soft Computing | Best Academic Researcher Award

Mr. Oussama El Othmani, Computer Engineering, Tunisia Polytechnic School, Tunisia

Oussama El Othmani is a dedicated computer engineer specializing in Artificial Intelligence (AI), Machine Learning (ML), and software development. Currently pursuing a Ph.D. in Engineering and Information and Communication Technologies (ETIC) at Tunisia Polytechnic School, University of Carthage, he is committed to advancing knowledge in these fields. His professional experience includes roles as a Software Engineer with the Tunisian Ministry of National Defense and internships at the Main Military Instruction Hospital of Tunis and the National Center for Cartography and Remote Sensing. Oussama’s research interests encompass AI/ML model interpretability, medical applications of AI, and data analysis. He has contributed to several publications, including a notable paper on integrating Rough Set Theory and Soft Computing for explainable AI/ML models.

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Education

Oussama El Othmani’s academic journey is marked by a strong foundation in computer engineering and AI. He is currently pursuing a Ph.D. in ETIC at Tunisia Polytechnic School, University of Carthage, La Marsa, Tunis, starting in 2024. Prior to this, he completed his undergraduate studies in Computer Engineering at the Tunisian Military Academy, Fondik Jdid, from 2020 to 2023, with a focus on AI and ML. His educational background also includes preparatory studies in Mathematics and Physics from 2018 to 2020 at the same institution. Additionally, Oussama has undertaken relevant coursework in advanced learning algorithms, artificial intelligence, computer architecture, database management, and project management fundamentals.

Professional Experience

Oussama El Othmani has accumulated valuable professional experience in both military and civilian sectors. Since August 2023, he has been serving as a Software Engineer with the Tunisian Ministry of National Defense, where he participates in the full software development lifecycle, including specifications, modeling and design, application development, unit testing, integration, formal system testing, deployment, and maintenance. He collaborates with system engineers, hardware designers, and integration/test engineers to develop and maintain complex software systems, applying Agile development methodologies and object-oriented architectures. In the summer of 2022, Oussama interned at the Main Military Instruction Hospital of Tunis, focusing on image processing, DevOps, machine learning, Kubernetes, and systems administration, contributing to enhancing hospital information systems and technological infrastructure. Earlier, in 2021, he interned at the National Center for Cartography and Remote Sensing, where he analyzed and interpreted geographic data using remote sensing techniques and developed cartographic products to visualize spatial information for various projects.

Research Interests

Oussama El Othmani’s research interests lie at the intersection of artificial intelligence, machine learning, and their applications in real-world scenarios. He is particularly focused on developing explainable and interpretable AI/ML models, aiming to enhance the transparency and trustworthiness of these systems. His work explores the integration of Rough Set Theory and Soft Computing methods to build models that are not only accurate but also understandable by human users. Additionally, Oussama is interested in applying AI techniques to medical fields, such as developing systems for blood anomaly detection and antibiotic resistance classification, thereby contributing to advancements in healthcare technology.

Awards

While specific awards are not listed in the provided information, Oussama El Othmani’s academic and professional achievements reflect a commitment to excellence in his field. His innovative work in AI/ML model interpretability and medical applications demonstrates his potential for recognition in the realm of computer engineering and artificial intelligence.

Publication Top Notes

Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models

Rabab Hassan | Medical Laboratory Sciences | Best Researcher Award- 13694

Dr. Rabab Hassan | Medical Laboratory Sciences | Best Researcher Award

Dr. Rabab Hassan Elshaikh Mahmoud, Assistant professor, Medical laboratory faculty, A’ Sharqiyah University, Oman

Dr. Rabab Hassan Elshaikh is a distinguished Sudanese medical laboratory scientist and educator with over 18 years of experience in academia and clinical laboratories. Born on January 1, 1981, she currently serves as an Assistant Professor at A’Sharqiyah University in Ibra, Oman. Her career spans roles in teaching, laboratory supervision, and quality coordination across Sudan, the UAE, and Oman. Dr. Elshaikh is committed to advancing laboratory sciences through education, research, and professional development.

Profile

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Education 🎓

Dr. Elshaikh’s academic journey includes a Ph.D. in Medical Laboratory Science (Hematology) from Al Gezira University, Sudan (2022). She also holds an MSc in Tropical Medicine (Immunology) from the Sudan Academy of Science (2010), a BSc in Medical Laboratory Science from the University of Science and Technology, Sudan (2005), and a Diploma in Computer Science from Al Firsan Institute for Technical Studies, Sudan (2009). In 2022, she completed a Mini MBA and a Professional Diploma in Quality and Safety in Health Laboratories from the London Academy for Training and Education.

Experience 💼

Assistant Professor at A’Sharqiyah University, Oman (2023–present)

Lecturer and Graduation Project Supervisor at the University of Science and Technology, Sudan (2018–2022)

Medical Laboratory Specialist at Alrihabi Medical Clinics, Sudan (2018–2022)

Laboratory Supervisor and Quality Coordinator at Euro Arabian Hospital, UAE (2016–2017)

Senior Laboratory Technologist at Gulf Medical University, UAE (2014–2016)

Medical Laboratory Technician at various organizations in Sudan and the UAE (2005–2010)

Research Interests 🔬

Dr. Elshaikh’s research focuses on hematology, immunohematology, immunology, clinical pathology, clinical chemistry, microbiology, molecular biology, and laboratory operations. She has supervised graduation projects since 2018 and has contributed to various research initiatives in these areas.

Awards 🏆

Dr. Elshaikh has been nominated for several awards, including:

  • Award Nomination Application Form

  • Scientific Achievements

  • Awards ASU

Publication Top Notes 📚

Sequence of Simple Digital Technologies for Detection of Platelets in Medical Images

Generative artificial intelligence in healthcare: current status and future directions

Identification and molecular characterization of the most common types of beta thalassemia mutations in sudanese patients

Evaluation of the discrimination between beta-thalassemia trait and iron deficiency anaemia using different indexes

Employing the European Thyroid Imaging Reporting and Data System 2017 classification in a malignancy risk stratification system for thyroid nodules at Can Tho Oncology Hospital …

Chong Shan | Laser Interaction Studies | Best Researcher Award-13702

Dr. Chong Shan | Laser Interaction Studies | Best Researcher Award

Dr. Chong Shan, Shanghai Institute of Ceramics, China

Dr. Chong Shan is an Assistant Researcher at the Shanghai Institute of Ceramics, specializing in the study of laser-induced damage in optical materials. His work focuses on understanding the effects of low-temporal coherence light on the damage growth of fused silica and other materials. With his profound expertise in optical materials science, he has made significant contributions to the field, particularly in high-power laser applications. Dr. Shan’s research is widely recognized, and his work continues to influence advancements in the optics industry.

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Scopus

Education 🎓

Dr. Chong Shan completed his Doctoral degree at Fudan University, one of China’s most prestigious institutions, where he honed his research skills in materials science and optics. His academic background laid the foundation for his specialized research on laser damage in optical materials.

Experience 💼

Dr. Shan is currently serving as an Assistant Researcher at the Shanghai Institute of Ceramics. With years of experience in laser materials interaction, his research work has significantly contributed to the understanding of damage mechanisms in optical coatings, especially in the context of high-power laser systems. His expertise spans both theoretical and experimental aspects of material science.

Research Interests 🔬

Dr. Chong Shan’s research focuses primarily on:

  • Laser-induced damage in optical materials like fused silica.

  • Low-temporal coherence light irradiation and its effects on material integrity.

  • Investigating stimulated Brillouin scattering and self-focusing effects on fused silica.

  • Understanding multi-wavelength coupling effects in laser-induced damage of optical coatings.

These areas aim to enhance the durability and performance of optical materials, particularly in applications involving high-power lasers.

Awards 🏆

Dr. Shan has not yet received any specific awards or nominations, but his work has been widely acknowledged in the optics community, and his publications continue to attract significant attention. His contributions are reflected in the citations of his work, marking him as an influential figure in the field of optics and laser damage.

Publication Top Notes 📚

Damage growth characteristics on the exit surface of fused silica by the low-temporal coherence light irradiation

Damage characteristics of fused silica under low-temporal coherence lightSelf-focusing and

stimulated Brillouin scattering effect of low-temporal coherence light and corresponding damage characteristics in fused silica

Multi-wavelength coupling effect of laser-induced defect damage in beam splitter films captured by a three-dimensional spatially and temporally resolved method

Laser-induced defects in optical multilayer coatings by the spatial resolved method

Shiqi Hu – Surface Plasmon Technologies – Best Researcher Award

Shiqi Hu - Surface Plasmon Technologies - Best Researcher Award

Jinan University - China

AUTHOR PROFILE

GOOGLE SCHOLAR

🌟 PROFESSIONAL SUMMARY

Dr. Shiqi Hu, a dedicated postdoctoral fellow at Jinan University, is emerging as a pioneering researcher in the field of optical engineering. Her academic journey has been marked by a relentless pursuit of innovation, culminating in a Ph.D. with a strong emphasis on near-infrared plasmonic modulation. Dr. Hu has carved a niche in theoretical modeling and functional implementation of micro-nano optical systems. Her innovative work on 3D-tunable hypersurfaces and hyperbolic metamaterials enables unprecedented control over plasmonic resonance across the visible and near-infrared spectra. With 26 SCI-indexed publications, 4 patents, and over 850 citations, her contributions have left a strong imprint on both theoretical optics and real-world sensor technologies. Her research directly addresses key societal challenges such as health diagnostics and environmental monitoring. Through precision, creativity, and cross-disciplinary insight, Dr. Hu is redefining what is possible in biophotonics and optical sensor design.

🎓 EARLY ACADEMIC PURSUITS

Dr. Hu’s academic excellence was evident early in her scholarly career at Jinan University, where she pursued both her graduate and doctoral studies. Specializing in optical engineering, she quickly gravitated toward the challenging and high-impact domain of plasmonics. During her Ph.D. (2017–2023), she exhibited a rare combination of theoretical depth and experimental agility. Her early research contributions include the design of micro-nano structures for modulating optical signals and fabricating functional fiber-optic devices. These initial breakthroughs laid the groundwork for her transformative research in hypersurfaces and metamaterials. Motivated by both curiosity and a sense of social responsibility, Dr. Hu positioned her doctoral work at the intersection of physics, engineering, and biomedical applications. Her drive to create practical solutions for real-world problems fueled her research trajectory, earning her early recognition in academic circles and setting a strong foundation for her future as an innovator in the optical sciences.

💼 PROFESSIONAL ENDEAVORS

In her postdoctoral tenure, Dr. Hu has assumed key leadership roles in advanced optical research. At Jinan University, she not only contributed to high-impact publications but also successfully led three competitive research grants, including the prestigious National Natural Science Foundation of China Youth Project. Her portfolio includes eight completed or ongoing research projects and two collaborative consultancy endeavors with industry. These projects reflect her ability to bridge fundamental science with application-driven engineering. As a research leader, she continues to explore innovative interfaces and sensor applications, contributing to the next generation of diagnostic and monitoring tools. Her day-to-day work involves a mix of theoretical simulations, nanofabrication, and applied biosensing studies—demonstrating her dynamic engagement across the research pipeline. Dr. Hu’s commitment to advancing science and mentoring young scholars underscores her broader mission: to elevate China’s presence in global biophotonics through cutting-edge research and international collaboration.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Hu’s contributions span theoretical innovation, sensor development, and biomedical integration. Her pioneering work on 3D-tunable hypersurfaces has reshaped the field’s understanding of light–matter interactions. She also proposed a novel hyperbolic metamaterial dispersion modulation framework, which allows for tunable plasmonic resonance across a wide spectral range. These innovations have been applied to practical biosensors for non-invasive health monitoring—particularly sweat pH sensors with direct electronic readout. Her research extends to advanced materials, such as graphene and other two-dimensional nanomaterials, aimed at enhancing sensitivity, functionality, and miniaturization. Dr. Hu has successfully merged theoretical physics with material science and bioengineering, positioning her work at the forefront of next-generation optical devices. Her focus on temperature and dual-parameter modulation sensors is especially impactful in environments demanding high precision and adaptability. With 26 high-quality publications and ongoing interdisciplinary projects, Dr. Hu exemplifies a rare fusion of innovation, impact, and scientific rigor.

🏅 ACCOLADES AND RECOGNITION

Dr. Hu’s academic reputation is solidified through a series of prestigious achievements. Her work has garnered significant citations (857+) and an impressive h-index of 16, illustrating both the quality and relevance of her research. She has been recognized with competitive funding awards, notably the Youth Project of the National Natural Science Foundation of China, which reflects national confidence in her scholarly vision. Moreover, her portfolio of four patents evidences her drive toward innovation with real-world utility. Dr. Hu's publication record—26 SCI-indexed journal articles—demonstrates sustained excellence and commitment to advancing knowledge. Her scholarly output in top-tier journals like Nano Letters and Photonics Research speaks volumes about her influence in the international research community. In the realm of academic honors, she has also been nominated for global awards such as the Best Researcher and Young Researcher categories by BiophotonicsResearch.com, further affirming her growing global impact.

🌍 IMPACT AND INFLUENCE

Beyond technical achievements, Dr. Hu’s work holds profound societal and economic value. By enhancing the sensitivity and responsiveness of biosensors, she directly contributes to early disease detection and public health optimization. Her research has potential applications in point-of-care diagnostics, wearable health monitoring, and intelligent sensing systems. This makes her work especially relevant to healthcare providers, tech innovators, and policymakers alike. Additionally, the dual-readout and non-invasive features of her sensor technologies could significantly reduce costs and improve patient compliance in medical diagnostics. In industry, her consultancy projects are already informing the design of next-gen sensor platforms. Dr. Hu's research inspires a new wave of optical device engineering, blending aesthetics, functionality, and sustainability. Her influence stretches beyond academia into areas that directly impact quality of life—testament to a researcher whose insights translate into measurable progress. Her ability to align fundamental research with societal needs positions her as a changemaker in biophotonics.

📈 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Shiqi Hu envisions a future where photonic and plasmonic technologies integrate seamlessly into daily life—from smart healthcare systems to environmental sensors. With a solid foundation in hyperbolic dispersion and material-plasmon interactions, she is well-poised to lead the next generation of bio-integrated devices. She aims to expand her research into intelligent sensor systems that combine optical engineering with artificial intelligence for autonomous detection and decision-making. Her continued engagement in patent development and international collaboration will further translate academic innovation into commercial and societal solutions. Dr. Hu is also committed to nurturing young talent and expanding interdisciplinary education in optics and engineering. Through sustained scientific inquiry, strategic partnerships, and visionary leadership, she aspires to leave a legacy that inspires, informs, and empowers future generations of researchers and engineers. Her career trajectory exemplifies a rising global leader with enduring influence in photonics and beyond.

NOTABLE PUBLICATIONS

Title: Sensitivity-enhanced surface plasmon resonance sensor utilizing a tungsten disulfide (WS₂) nanosheets overlayer
Authors: H. Wang, H. Zhang, J. Dong, S. Hu, W. Zhu, W. Qiu, H. Lu, J. Yu, H. Guan, ...
Journal: Photonics Research, Volume 6, Issue 6, Pages 485–491 (2018)

Title: High-sensitivity vector magnetic field sensor based on side-polished fiber plasmon and ferrofluid
Authors: Z. Jiang, J. Dong, S. Hu, Y. Zhang, Y. Chen, Y. Luo, W. Zhu, W. Qiu, H. Lu, ...
Journal: Optics Letters, Volume 43, Issue 19, Pages 4743–4746 (2018)

Title: Long-range surface plasmon resonance sensor based on side-polished fiber for biosensing applications
Authors: H. Zhang, Y. Chen, X. Feng, X. Xiong, S. Hu, Z. Jiang, J. Dong, W. Zhu, W. Qiu, ...
Journal: IEEE Journal of Selected Topics in Quantum Electronics, Volume 25, Issue 2, Pages 1–9 (2018)

Title: Side-polished few-mode fiber based surface plasmon resonance biosensor
Authors: J. Dong, Y. Zhang, Y. Wang, F. Yang, S. Hu, Y. Chen, W. Zhu, W. Qiu, H. Guan, ...
Journal: Optics Express, Volume 27, Issue 8, Pages 11348–11360 (2019)

Title: Plasmonic interface modified with graphene oxide sheets overlayer for sensitivity enhancement
Authors: X. Xiong, Y. Chen, H. Wang, S. Hu, Y. Luo, J. Dong, W. Zhu, W. Qiu, H. Guan, ...
Journal: ACS Applied Materials & Interfaces, Volume 10, Issue 41, Pages 34916–34923 (2018)