Mr Emmanuel Karungani | Organic Synthesis | Young Scientist Award

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Mr Emmanuel Karungani | Organic Synthesis | Young Scientist Award

Mr Emmanuel Karungani , Maseno University , Kenya

Emmanuel Karungani Simiyu 🇰🇪 is a passionate materials scientist and physics researcher specializing in nanomaterials, thin films, and spectroscopy. He brings hands-on expertise in synthesis and characterization techniques 🧪🔍, with a focus on renewable energy, organic solar cells ☀️, and advanced functional materials. Currently pursuing his MSc in Physics at Maseno University, Emmanuel is driven by the vision to apply scientific innovations for sustainable development 🌱. He is also an Erasmus+ mobility scholar in Latvia 🇱🇻. His cross-continental academic experience and interdisciplinary research showcase his dedication to global impact through science and technology 🌍📚.

Professional Profile

ORCID

Education and Experience 

Emmanuel holds a Bachelor of Education Science with IT and is pursuing a Master of Science in Physics at Maseno University 🎓. His educational journey blends a strong foundation in physics with computational and experimental skills 🧮🧫. He has conducted cutting-edge research in Latvia on benzanthrone derivatives 💡 and locally on Eu/Tb-doped In₂Se₃ for organic solar cells. His previous work includes P3HT-AuNPs nanocomposite thin films and bismuth-doped GST films for optoelectronic applications 🧬⚙️. Through diverse research assistantships and guided theses, Emmanuel has gained expertise in spin coating, spray pyrolysis, and optical analysis tools.

Professional Development 

Emmanuel actively enhances his research skills through global collaborations 🌐 and professional training initiatives. He participated in the ICTP Physics without Frontiers School at the University of Nairobi 💻, expanding his knowledge in computational physics. As a beneficiary of the Erasmus+ Mobility Program 🇪🇺 and TWAS partial funding, he has engaged with international mentors and advanced laboratory environments 🏛️. His involvement in high-level materials characterization and project-based learning 🔬 has sharpened his scientific reasoning and communication. Emmanuel remains committed to publishing impactful research, contributing to the academic community, and solving real-world problems through material science 🧠🌍.

Research Focus 

Emmanuel’s research interests lie in applied materials science, focusing on nanotechnology, bio-based materials, and renewable energy systems 🔋. He investigates spectral conversion, organic photovoltaics, and thin film fabrication techniques such as spin coating and spray pyrolysis 🧪🌞. His projects often center on enhancing the optical and structural properties of advanced semiconductors, including Eu/Tb-doped In₂Se₃, P3HT-AuNPs composites, and Bismuth-GST films 📊🧫. He also explores the luminescent properties of benzanthrone derivatives for optoelectronic and sensing applications. Emmanuel aims to drive innovation in green energy and smart materials for sustainable development 🧠⚡.

Awards and Honors 

Emmanuel has been honored with the Erasmus+ Mobility Programme Award to conduct international research at Daugavpils University, Latvia 🇪🇺. He received partial funding from TWAS to support his MSc coursework 🎓. In 2024, he was selected and financially supported to attend the ICTP School on Computational Techniques at the University of Nairobi 🇰🇪, enhancing his skills in numerical methods and simulations 💻. These recognitions reflect his academic excellence 🥇, global research engagement 🌐, and commitment to knowledge dissemination. Emmanuel’s awards empower his ambition to lead impactful scientific inquiry across borders 🌍🧪.

Publication Top Note

Photoluminescence Dependence of 2-Bromo-3-aminobenzo[de]anthracene-7-one on Solvent Polarity for Potential Applications in Color-Tunable Optoelectronics

Karungani, E., Kirilova, E., Avotina, L., Puckins, A., Osipovs, S., Ochodo, T., Airo, M., & Otieno, F. (2025). Photoluminescence dependence of 2-Bromo-3-aminobenzo[de]anthracene-7-one on solvent polarity for potential applications in color-tunable optoelectronics. Molecules, 30(13), 2677. https://doi.org/10.3390/molecules30132677

Conclusion

Emmanuel Karungani exemplifies the next generation of scientific leaders in applied physics and materials science. His interdisciplinary research contributions, international collaborations, and commitment to renewable energy and advanced materials make him a deserving candidate for the Young Scientist Award. This recognition will not only honor his current achievements but also encourage future breakthroughs in sustainable technology.

Dr Muhammad Bilal | Applied Mathematics | Best Researcher Award

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Dr Muhammad Bilal | Applied Mathematics | Best Researcher Award

Researcher , Shanghai University , China

Dr. Muhammad Bilal 🎓 is a dynamic researcher in applied mathematics with a passion for solving real-world problems through advanced mathematical frameworks 🧠.  authored over 60 peer-reviewed articles 📚 in high-impact journals. Currently associated with Shanghai University 🇨🇳, Dr. Bilal is dedicated to fostering global collaboration 🌍 and mentoring future mathematicians. His core interest lies in partial differential equations, with a vision to enhance scientific innovation for societal well-being 🔬💡. Known for his interdisciplinary approach, he strives to make mathematics more applicable, accessible, and impactful in today’s rapidly evolving world 🌐.

Professional Profile

GOOGLE SCHOLAR

Education and Experience 

Dr. Bilal’s educational journey began in applied mathematics 🧮, earning his Ph.D. from Zhengzhou University, China (2019–2023) 🎓🇨🇳. His doctoral research focused on complex differential equations and real-world problem modeling. He continues his academic pursuit at Shanghai University as a postdoctoral researcher (2024–present) 📘. Dr. Bilal has more than 5 years of experience in mathematical research, teaching, and academic publishing ✍️. With active roles in the global research community, he brings a rich blend of theory, practice, and innovation to every project, backed by international collaboration and mentorship 🌏🤝.

Professional Development 

Dr. Muhammad Bilal is deeply committed to academic excellence and global research outreach 🌍. He has published 60+ high-impact articles in international journals 📖, contributed to interdisciplinary applications, and developed innovative solutions using PDEs and mathematical modeling 🧠💡. He is actively engaging in research dissemination through platforms like ResearchGate and Google Scholar 🔗, with a growing citation impact. Dr. Bilal aims to influence policymaking through data-driven research and to secure long-term funding for sustainable mathematical development 💼💰. His ongoing mentorship and project involvement help nurture emerging scholars in applied and computational mathematics 🎯👨‍🏫.

Research Focus

Dr. Bilal’s research is centered on Applied Mathematics, particularly Partial Differential Equations (PDEs), their analytical properties, and real-world applications 🧪🧩. His work intersects fields such as fluid dynamics, mathematical biology, and engineering processes 🌊🔬. He focuses on developing analytical and numerical methods that help address pressing global challenges through precise modeling 🧠💻. His category of research falls under “Best Researcher in Applied and Computational Mathematics” 🏅. His contributions have not only enhanced theoretical knowledge but also enriched interdisciplinary scientific collaboration and solution-driven problem solving across academia and industry 🤝📈.

Awards and Honors 

While specific awards were not detailed in the available information, Dr. Bilal’s significant scholarly output 📚—including 60+ published papers—and his roles in prestigious institutions reflect a high level of recognition 🌟. His research contributions are highly cited and well-regarded in the global mathematics community 🌐. Dr. Bilal is also a recipient of academic support from top Chinese institutions 🇨🇳. His inclusion in international collaborations and ongoing projects showcases his value as a top-tier researcher 🏆. It is anticipated that he will be a strong contender for future Best Researcher, Young Scientist, or Excellence in Mathematics Awards 🥇🎖️.

Publication Top Notes

1. Dispersive of propagation wave solutions to unidirectional shallow water wave Dullin–Gottwald–Holm system and modulation instability analysis

Citation: 130 (2021)
Journal: Mathematical Methods in the Applied Sciences, 44(5), 4094–4104
Authors: M. Bilal, A.R. Seadawy, M. Younis, S.T.R. Rizvi, H. Zahed
Summary: This work investigates the dispersive wave characteristics in shallow water modeled by the DGH system. The authors derive analytical solutions and perform modulation instability analysis, providing insight into fluid dynamics applications and enhancing the understanding of nonlinear wave behaviors in geophysical flows.

2. Analytical wave structures in plasma physics modeled by Gilson-Pickering equation by two integration norms

Citation: 125 (2021)
Journal: Results in Physics, 23, 103959
Authors: M. Bilal, A.R. Seadawy, M. Younis, S.T.R. Rizvi, K. El-Rashidy, S.F. Mahmoud
Summary: The study applies analytical methods to solve the Gilson-Pickering equation, relevant in plasma physics. Using two integration approaches, the authors present various types of wave solutions, supporting future research in laser-plasma interactions.

3. Modulation instability analysis, optical and other solutions to the modified nonlinear Schrödinger equation

Citation: 109 (2020)
Journal: Communications in Theoretical Physics, 72(6), 065001
Authors: M. Younis, T.A. Sulaiman, M. Bilal, S.U. Rehman, U. Younas
Summary: The paper offers modulation instability analysis and diverse optical solutions for the MNLS equation, which is crucial in nonlinear fiber optics. The study aids in the prediction of rogue waves and optical soliton behavior.

4. Optical bright–dark and Gaussian soliton with third-order dispersion

Citation: 96 (2017)
Journal: Optik, 134, 233–238
Authors: M. Younis, U. Younas, S. ur Rehman, M. Bilal, A. Waheed
Summary: This early work discusses soliton behavior with third-order dispersion in optical media, particularly bright–dark and Gaussian solitons. These findings are essential for optical communication system modeling.

5. New exact traveling wave solutions to the (2+1)-dimensional Chiral nonlinear Schrödinger equation

Citation: 72 (2021)
Journal: Mathematical Modelling of Natural Phenomena, 16, 38
Authors: H. Rezazadeh, M. Younis, M. Eslami, M. Bilal, U. Younas
Summary: The paper introduces new exact solutions for the chiral NLSE, applicable in fluid dynamics and condensed matter physics. It expands analytical methods available for modeling complex nonlinear systems.

6. The analysis of exact solitons solutions in monomode optical fibers to the generalized nonlinear Schrödinger system

Citation: 64 (2023)
Journal: Int. J. Math. Comput. Eng., 1(2), 149–170
Authors: M. Bilal, H. Haris, A. Waheed, M. Faheem
Summary: Focusing on solitons in monomode fibers, this research provides exact solutions for GNLS systems and proposes analytical methods for signal integrity in optical communications.

7. Different wave structures to the Chen–Lee–Liu equation of monomode fibers and its modulation instability analysis

Citation: 56 (2021)
Journal: The European Physical Journal Plus, 136(4), 385
Authors: M. Bilal, W. Hu, J. Ren
Summary: Investigating the Chen–Lee–Liu equation, the authors present soliton and periodic wave solutions with instability analysis, useful for understanding energy transfer in nonlinear optics.

8. New exact solitary wave solutions for the 3D-FWBBM model in arising shallow water waves

Citation: 54 (2021)
Journal: Results in Physics, 25, 104230
Authors: M. Bilal, J. Ahmad
Summary: Using two analytical techniques, this paper solves the 3D-FWBBM model, relevant in modeling shallow water wave dynamics. It adds to predictive modeling in geophysical fluid flows.

9. Lump solutions and stability analysis of dimensional Pavlov equation

Citation: 53 (2022)
Journal: Modern Physics Letters B, 36(14), 2250084
Authors: U. Younas, J. Ren, T.A. Sulaiman, M. Bilal, A. Yusuf
Summary: The paper offers lump, breather, and two-wave solutions with stability for the Pavlov equation, advancing understanding of integrable models in physics.

10. Propagation of pure-cubic optical solitons without chromatic dispersion

Citation: 52 (2021)
Journal: Optical and Quantum Electronics, 53, 1–25
Authors: U. Younas, M. Bilal, J. Ren
Summary: The work focuses on optical solitons governed by pure-cubic nonlinearity, aiding efficient modeling of fiber-optic networks.

11. Soliton solutions for NLSE with computational techniques

Citation: 48 (2021)
Journal: Optical and Quantum Electronics, 53, 1–19
Authors: M. Bilal, J. Ren, U. Younas
Summary: This study proposes computational approaches to find soliton solutions in nonlinear Schrödinger models, significant in photonics research.

12. Investigation of optical solitons in birefringent fibers with four-wave mixing

Citation: 46 (2020)
Journal: International Journal of Modern Physics B, 34(11), 2050113
Authors: M. Younis, M. Bilal, S. ur Rehman, U. Younas, S.T.R. Rizvi
Summary: The authors examine solitons in birefringent fibers with nonlinear effects like four-wave mixing, essential in ultrafast fiber optics.

13. Study of solitary waves in time conformable Schrödinger system

Citation: 45 (2022)
Journal: Optical and Quantum Electronics, 54(4), 228
Authors: S.U. Rehman, M. Bilal, J. Ahmad
Summary: The paper analyzes conformable derivatives in Schrödinger systems and their impact on wave propagation in nonlinear environments.

Conclusion

Dr. Muhammad Bilal is highly suitable for the Best Researcher Award given his impactful publication record, clarity of research vision, and dedication to solving complex societal problems through mathematics. His sustained excellence, innovative mindset, and growing citation footprint mark him as a research leader in the making, deserving formal recognition at an international level. 🥇🌐

Prof Wansok Jang | Applied Aesthetics | Best Academic Researcher Award

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Prof Wansok Jang | Applied Aesthetics | Best Academic Researcher Award

Professor , Qingdao University of Science and Technology College of Communication , South Korea

Professor Wansok Jang 🎓 is a renowned scholar in East Asian aesthetics, philosophy, and service design. Based at Qingdao University of Science and Technology 🏛️, he brings deep interdisciplinary insight to art, design, and applied philosophy. With over 40 journal publications 📚, 4 books 📖, and 3 patents ⚙️, he bridges traditional Korean and Chinese thought with modern creative technologies, including AI-integrated art 🤖🎨. A member of multiple academic societies 🌐, Professor Jang is a cross-cultural thinker whose work enriches global discourse on aesthetics, philosophy, and design thinking ✨.

Professional Profile

GOOGLE SCHOLAR

Education & Experience 

Professor Jang holds a BA in Korean Philosophy from Sungkyunkwan University 🏫, and an MA & Ph.D. in Aesthetics from Wuhan University in China 🇨🇳. His academic journey blends Eastern philosophy 📜 with visual theory and design thinking 🎨. With decades of academic and research experience, he currently serves as Professor at Qingdao University of Science and Technology 👨‍🏫. Jang’s career spans aesthetic theory, Neo-Confucian art, and philosophy of painting 🖌️, building bridges between philosophy, culture, and modern applications in design 🚀.

Professional Development 

Throughout his career, Professor Jang has participated in 5 consultancy projects, 40+ journal publications 📝, 4 authored books 📘, and 3 patents 📄—demonstrating an active contribution to academia and applied research. As a member of six scholarly societies 🤝, including the Korean Society for the History of Philosophy and the Society of Eastern Philosophy, he engages deeply with both traditional theory and modern creative technologies. His work promotes service design 💼, cultural aesthetics 🎭, and philosophical integration into design systems 🧩. He is also known for fostering cross-border collaboration 🌏 in art and philosophy education.

Research Focus Category 

Professor Jang’s research centers on Art & Design, Applied Aesthetics, and East Asian Philosophy 🎨📜. His projects explore Neo-Confucian aesthetics, traditional Chinese and Korean painting theory, and their relevance to modern service and emotional design 💡. Integrating philosophy with AI art tools 🤖, his research aligns with trends in digital humanities and cross-cultural design thinking 🌐. His scholarly work reinterprets Eastern philosophies for contemporary relevance and artistic expression 🎭, contributing to the global evolution of design innovation and cultural understanding 🧠. These fields place him firmly within the Excellence in Research and Best Innovation Award categories.

Awards & Honors 

Professor Jang has built an impressive record of achievement, with over 40 academic journal articles 📚 and multiple patents in the field of cultural design and philosophy 🏆. He has been recognized for bridging philosophical theory with modern design applications, making him a candidate for honors such as the Best Researcher Award, Excellence in Research, or Outstanding Scientist Award 🥇. His work with international teams and educational reforms in aesthetics education 🌏 demonstrates significant community impact and cross-cultural scholarship 🎖️. Through academic leadership and innovation, Professor Jang continues to inspire new thinking in art, design, and philosophy 🧠✨.

Publication Top Notes

1. Research on Intelligent Space Design of Smart Rural – Focus on Xikou Village, Zhejiang Province, China

Authors: M. Zhu, W.S. Jang, Y.H. Pan
Journal: Journal of the Korea Convergence Society, 13(4), pp. 245–259, 2022
Summary:
This study explores intelligent spatial design models tailored for rural revitalization in China, with a specific focus on smart villages. The project applies data-driven planning principles and intelligent infrastructure to enhance rural quality of life, sustainable living, and smart governance.

2. Study on the Improvement of Elderly Activity Demand in Outdoor Public Space – A Case Study of Wuhan in China

Authors: H.C. Xu, W.S. Jang, Y.H. Pan
Journal: Journal of the Korea Convergence Society, 11(1), pp. 141–150, 2020
Summary:
Analyzes the spatial behavior and activity demands of elderly citizens in Wuhan’s urban public spaces. The study proposes age-friendly urban designs that support inclusivity, safety, and enhanced social interaction for aging populations.

3. Study on the Evolution Pattern of Tea Industry Service Mode – Focusing on the Needs of Each Generation in Guangxi, China

Authors: L. Ping, W. Jang, Y. Pan
Journal: Journal of the Korea Convergence Society, 12(6), pp. 65–74, 2021
Summary:
Investigates generational preferences in tea consumption and service experiences in Guangxi, presenting strategies for revitalizing traditional tea industries through digital services and generational branding.

4. Direction of Co-Living Space Design in Post-COVID China

Authors: Wang Yiming, Liu Chaewoon, Jang Wansok, Pan Younghwan
Journal: Journal of the Ergonomics Society of Korea, 42(2), pp. 163–177, 2023
Summary:
Addresses how co-living design has evolved in the post-pandemic era. Suggests adaptive strategies for spatial flexibility, hygiene integration, and digital coexistence in shared residential spaces.

5. Design and Implementation of Home Care Management Information System in Smart Community Based on Big Data

Authors: F.Y. Jiang, W.S. Jang, Y.H. Pan
Journal: Journal of Digital Contents Society, 23(7), pp. 1173–1181, 2022
Summary:
Develops a smart home-care system using big data for elderly health monitoring and community care services. Supports automation, caregiver coordination, and real-time data applications.

6. Metaverse and Zhuangzi’s Aesthetics: Hyperreality and Reconstructed Existence in the Digital Age

Authors: X. Xun, W.S. Jang, Y.H. Pan
Journal: Dongyang Arts, Issue 65, pp. 155–167, 2024
Summary:
Merges ancient Daoist aesthetics with modern digital culture. Analyzes how metaverse experiences echo Zhuangzi’s philosophy of illusion, multiplicity, and freedom in the digital self.

7. Design and Aesthetics of Chinese Gardens through Zhuozhengyuan  and Daoist Aesthetics

Author: Jang Wansok
Journal: Korean Philosophical Journal, 77, pp. 105–136, 2023
Summary:
Explores classical Chinese garden design through the lens of Daoist aesthetics, focusing on harmony, natural flow, and metaphysical interpretation of spatial elements.

8. Visualization Design of Traditional Chinese Desserts for Post-90s Consumers

Authors: X. Chen, H. Lee, Y. Pan, W.S. Jang
Journal: Asia-Pacific Journal of Convergent Research Interchange, pp. 295–311, 2022
Summary:
Investigates how visual packaging and branding of traditional desserts influence younger generations. Provides UI/UX strategies to modernize heritage foods for Gen Z consumers.

9. Design Framework for Cultural Goods in Museums – Focus on Chinese Museum

Authors: W. Zheng, W. Jang, Y. Pan
Journal: Journal of the Ergonomics Society of Korea, 39(4), 2020
Summary:
Proposes a systematized design framework for developing cultural merchandise in Chinese museums, emphasizing user experience, cultural transmission, and market appeal.

10. A Study on Education Platform for Automobile Students Using AR System

Authors: Y.I. Luo, W.S. Jang, Y.H. Pan
Journal: Journal of the Korea Convergence Society, 10(12), pp. 243–250, 2019
Summary:
Develops an AR-integrated education platform for technical training in automotive engineering, promoting interactive learning and practical skills acquisition.

11. Fusion Education through Eastern Aesthetics and Art

Author: Jang Wansok
Journal: Korean Elementary Education, 25(4), pp. 1–15, 2014
Summary:
Advocates for educational curricula that integrate Eastern philosophy and aesthetic training. Encourages multi-disciplinary learning that connects ethics, art, and identity.

12. Confucianism and the Dao in Ancient Eastern Design Aesthetics: Based on “Kao Gong Ji”

Author: Jang Wansok
Journal: Journal of East Asian Culture, 10, pp. 65–84, 2012
Summary:
Analyzes Confucian and Daoist design principles as described in ancient Chinese technical literature, linking philosophical values with material design.

13. Neo-Confucianism and Landscape Painting in Song Dynasty

Author: Jang Wansok
Publication Year: 2011
Summary:
Traces the influence of Neo-Confucian metaphysics on the thematic and compositional evolution of Chinese landscape painting during the Song Dynasty.

Conclusion

Professor Wansok Jang’s research portfolio reflects a rare combination of deep philosophical insight, creative design applications, and technological integration. His impactful publications, intellectual leadership, and commitment to cultural education make him an ideal candidate for the Best Academic Researcher Award. His contributions not only expand academic boundaries but also offer meaningful societal transformation through interdisciplinary research. He stands out as a role model in global academia, embodying both scholarly excellence and innovative thinking.

Dr Shu Zhu | Microfluidics | Best Researcher Award

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Dr Shu Zhu | Microfluidics | Best Researcher Award

Lecturer , Nanjing Normal University , China 

Shu Zhu 👨‍🔬 is a dedicated Lecturer at Nanjing Normal University 📍, serving in the School of Electrical and Automation Engineering and the Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing 🏫. He earned his Ph.D. in Mechanical Engineering from Southeast University 🎓 in 2024. His work focuses on microfluidics, impedance cytometry, and point-of-care testing (POCT) devices 🧪. With 19 publications in prestigious journals like Lab on a Chip and Analytica Chimica Acta, he is known for innovative tools like CytoExam, a deep learning-powered liquid biopsy device. 🧬💡

Professional Profile

ORCID

Education & Experience 

Shu Zhu completed his Ph.D. in Mechanical Engineering from Southeast University (SEU) 🎓 in 2024, where he explored cutting-edge technologies in microfluidic systems 💧 and cell analysis. He is currently a Lecturer 👨‍🏫 at Nanjing Normal University, contributing to both teaching and high-impact research at the Jiangsu Key Laboratory of 3D Printing Equipment 🖨️. His academic journey is marked by rigorous exploration into impedance cytometry and microdevices for biomedical applications 🧫. With 530+ citations 📈 and 19 research papers, his experience bridges advanced research and practical healthcare solutions. 🧠🔬

Professional Development 

Dr. Shu Zhu is an emerging expert in biomedical microdevices 🔍. He has been actively involved in major national projects like the National Natural Science Foundation of China and the Jiangsu Key R&D Program 🇨🇳. With 10 patents 📝 under his name, his professional growth has been fueled by innovation and problem-solving. He developed CytoExam, an AI-integrated diagnostic tool for CTC detection 🤖🧬. Though early in his career, his professional track reflects rapid growth 📊, meaningful impact, and a strong foundation for future leadership in microfluidic healthcare technologies 🚀.

Research Focus

Shu Zhu’s research 🔍 focuses on microfluidics, particularly inertial microfluidics, impedance cytometry, and POCT (point-of-care testing) devices 🧪. His innovations include CytoExam 🧬, a deep learning-enabled liquid biopsy system for identifying circulating tumor cells (CTCs), reflecting his commitment to merging bioengineering with clinical diagnostics 💻🧫. He also works on micromixing, cell deformability analysis, and dielectric characterization of cells 🔋. His research bridges multiple domains—mechanical engineering, biomedical diagnostics, and artificial intelligence—making significant contributions toward fast, accurate, and accessible healthcare technologies ⏱️🏥.

Awards & Honors 

While formal awards may still be in progress, Shu Zhu’s achievements speak volumes 🌟. With 19 published SCI/EI papers 📰 and 10 patents pending or granted 🔖, his work is highly recognized in academic circles. His projects have received national-level funding from the NSFC and Jiangsu R&D initiatives 🇨🇳, reflecting strong institutional trust and impact. His citation index of over 530 📊 showcases the value and reach of his contributions to microfluidics and biomedical diagnostics 🔬. As a rising innovator, he is a strong candidate for accolades such as the Best Researcher Award 🥇.

Publication Top Notes

1. Comprehensive Analysis of Shear Deformation Cytometry Based on Numerical Simulation Method

Journal: Biosensors (2025-06)
DOI: 10.3390/bios15060389
Contributors: Jun Wang, Jiahe Chen, Wenlai Tang, Shu Zhu
🔎 Summary:
This study employs numerical simulations to enhance understanding of shear deformation cytometry, enabling more precise mechanical characterization of cells in microfluidic systems.

2. Multiparameter Mechanical Phenotyping for Accurate Cell Identification Using High-Throughput Microfluidic Deformability Cytometry

Journal: Analytical Chemistry (2024-06-25)
DOI: 10.1021/acs.analchem.4c01175
Contributors: Zheng Zhou, Kefan Guo, Shu Zhu, Chen Ni, Zhonghua Ni, Nan Xiang
🔎 Summary:
Presents a novel high-throughput deformability cytometry system integrating multiple mechanical properties for improved label-free cell classification.

3. Liquid Biopsy Instrument for Ultra-Fast and Label-Free Detection of Circulating Tumor Cells

Journal: Research (2024-01)
DOI: 10.34133/research.0431
Contributors: Shu Zhu et al.
🔎 Summary:
Describes a breakthrough microfluidic instrument that enables rapid, label-free detection of CTCs using AI-based analysis, enhancing cancer diagnostics.

4. Next‐Generation Liquid Biopsy Instruments: Challenges and Opportunities

Journal: ELECTROPHORESIS (2023-05)
DOI: 10.1002/elps.202200169
Contributors: Shu Zhu, Yaohui Fang, Kefan Guo, Zhonghua Ni, Nan Xiang
🔎 Summary:
Outlines key technical obstacles and future directions in the development of liquid biopsy devices for precision oncology.

5. Microfluidic Deformability Cytometry: A Review

Journal: Talanta (2023-01)
DOI: 10.1016/j.talanta.2022.123815
Contributors: Yao Chen, Kefan Guo, Lin Jiang, Shu Zhu, Zhonghua Ni, Nan Xiang
🔎 Summary:
A detailed overview of techniques and innovations in deformability cytometry via microfluidics, aimed at biomedical research applications.

6. Efficient Bioparticle Extraction Using a Miniaturized Inertial Microfluidic Centrifuge

Journal: Lab on a Chip (2022)
DOI: 10.1039/d2lc00496h
Contributors: Yaohui Fang, Shu Zhu, Weiqi Cheng, Zhonghua Ni, Nan Xiang
🔎 Summary:
Demonstrates a compact device capable of high-efficiency bioparticle separation for use in portable medical diagnostics.

7. A Novel 3D Tesla Valve Micromixer for Efficient Mixing and Chitosan Nanoparticle Production

Journal: ELECTROPHORESIS (2022-11)
DOI: 10.1002/elps.202200077
Contributors: Kefan Guo, Yao Chen, Zheng Zhou, Shu Zhu, Zhonghua Ni, Nan Xiang
🔎 Summary:
Introduces a Tesla-inspired micromixer that enhances fluid mixing and supports biomedical nanoparticle synthesis applications.

8. An Ultra-Thin Silicon Nitride Membrane for Label-Free CTCs Isolation from Whole Blood with Low WBC Residue

Journal: Separation and Purification Technology (2022-09)
DOI: 10.1016/j.seppur.2022.121349
Contributors: Yunlin Quan, Zhixian Zhu, Dezhi Tang, Shu Zhu, et al.
🔎 Summary:
Highlights the efficiency of an ultra-thin membrane for clean, label-free isolation of cancer cells from blood samples.

9. Label-Free Microfluidics for Single-Cell Analysis

Journal: Microchemical Journal (2022-06)
DOI: 10.1016/j.microc.2022.107284
Contributors: Yao Chen, Zheng Zhou, Shu Zhu, Zhonghua Ni, Nan Xiang
🔎 Summary:
Explores microfluidic systems enabling individual cell profiling without the need for external labels or markers.

10. Stackable Micromixer with Modular Design for Efficient Mixing Over Wide Reynold Numbers

Journal: International Journal of Heat and Mass Transfer (2022-02)
DOI: 10.1016/j.ijheatmasstransfer.2021.122129
Contributors: Shu Zhu, Yaohui Fang, Yao Chen, et al.
🔎 Summary:
Introduces a modular mixing solution that adapts to a wide range of flow conditions, optimizing reactions in microfluidic settings.

11. Inertial Microfluidics for High-Throughput Cell Analysis and Detection: A Review

Journal: The Analyst (2021)
DOI: 10.1039/d1an00983d
Contributors: Zheng Zhou, Yao Chen, Shu Zhu, Linbo Liu, et al.
🔎 Summary:
Reviews the mechanisms and biomedical relevance of using inertial microfluidics for rapid and scalable cellular diagnostics.

12. Microfluidic Impedance Cytometry for Single-Cell Sensing: Review on Electrode Configurations

Journal: Talanta (2021-10)
DOI: 10.1016/j.talanta.2021.122571
Contributors: Shu Zhu, Xiaozhe Zhang, Zheng Zhou, et al.
🔎 Summary:
Analyzes various electrode setups for impedance cytometry, detailing how they influence single-cell electrical measurements.

13. An Easy-Fabricated and Disposable Polymer-Film Microfluidic Impedance Cytometer for Cell Sensing

Journal: Analytica Chimica Acta (2021-08)
DOI: 10.1016/j.aca.2021.338759
Contributors: Shu Zhu, Xiaozhe Zhang, Mu Chen, et al.
🔎 Summary:
Describes the development of a low-cost, disposable cytometer fabricated from polymer film, optimized for practical biomedical testing.

Conclusion

Dr. Shu Zhu demonstrates exceptional credentials for the Best Researcher Award, blending cutting-edge scientific research with real-world medical impact. His inventions like CytoExam and advancements in label-free CTC detection via microfluidic platforms highlight his strong contribution to biomedical engineering and diagnostic technology. His publication quality, patent portfolio, and dedicated focus on translational healthcare innovations place him among top contenders in his field.

Mr Al Jaber Mahmud | Human-Robot Collaboration | Best Researcher Award

Published on by Research Scientist

Mr Al Jaber Mahmud | Human-Robot Collaboration | Best Researcher Award

Mr Al Jaber Mahmud , George Mason University , United States

Al Jaber Mahmud 🎓 is a dedicated researcher and Ph.D. candidate in Electrical and Computer Engineering at George Mason University, Virginia 🇺🇸, advised by Dr. Xuan Wang. With a strong academic background and research expertise in human-robot interaction 🤖🧑‍🤝‍🧑, Mahmud is passionate about enabling intelligent and adaptive collaboration between robots and humans. He has published in high-impact journals and conferences 📝📚. Currently, he is developing cutting-edge algorithms and deploying them on real robotic systems 🤖⚙️. Mahmud aims to bridge the gap between theoretical control strategies and real-world robotic applications 🌍🛠️.

Professional Profile

ORCID

Education & Experience

Al Jaber Mahmud earned his B.Sc. in Electrical and Electronic Engineering from Islamic University of Technology, Bangladesh 🇧🇩 in 2022 🎓, and his M.S. in Electrical Engineering (Controls & Robotics) from George Mason University 🇺🇸 in 2025 📘. He is currently pursuing a Ph.D. in Electrical and Engineering 🧠🔬, expected to complete in Dec 2027. Mahmud works as a Graduate Research Assistant 🧪🤖 at George Mason, focusing on advanced human-robot collaboration. He also served as a Graduate Teaching Assistant 👨‍🏫 for multiple engineering courses. His academic and professional journey highlights his commitment to robotics innovation 🔧📈.

Professional Development 

Mahmud’s professional development has been shaped through hands-on robotics research 🔍🤖, teaching experiences 👨‍🏫, and technical proficiency in control theory and deep learning 🧠📊. At George Mason University, he contributed to real-world robot deployment using the Fetch Mobile Manipulator 🤖🦾. He has demonstrated excellence in both independent research and collaborative projects 🧑‍🔬🤝, presenting at top-tier robotics conferences like IROS and ICPS 🌐📢. Mahmud consistently integrates theory with application by optimizing robotic systems for safety, efficiency, and adaptability 🎯⚙️. His commitment to innovation and mentorship makes him a rising star in the field of intelligent robotics 🌟🛠️.

Research Focus 

Mahmud’s research focus lies at the intersection of Human-Robot Interaction 🤝🤖, Deep Learning 🧠📚, Optimal Control 🎛️, and Reinforcement Learning 🎯. He designs robust control frameworks that model human uncertainty 🤔📈 and enable adaptive robotic behavior for collaborative tasks. His work tackles real-world challenges in human-robot co-transportation and manipulation using Model Predictive Control (MPC) and learning-based techniques 🔁⚙️. By integrating perception, decision-making, and interaction modeling, Mahmud advances autonomous systems capable of safe, effective collaboration with humans in uncertain environments 🧑‍🔬🌍. His approach blends theory with implementation for intelligent robotic autonomy 🚀🦾.

Awards and Honors 

Mahmud’s excellence is reflected through his academic milestones and research achievements 🎓🏅. He successfully passed his Technical and Research Qualifying Exams in 2024 📚✅. His journal article in Electronics and conference papers at IROS 2025 and ICPS 2024 have gained wide recognition in the robotics community 🌟📝. His deep learning-driven robotic control systems have been implemented on real hardware 🤖🔧, showcasing innovation and impact. With a consistent academic record (CGPA > 3.8) 📊🎖️ and global collaboration with leading researchers 🌐🤝, Mahmud stands out as a promising scholar contributing significantly to the future of robotics 🚀🌍.

Publication Top Notes

1.Title: DARC: Disturbance-Aware Redundant Control for Human–Robot Co-Transportatio

Journal: Electronics, Vol. 14, No. 12, June 2025
DOI: 10.3390/electronics14122480
Contributors: Al Jaber Mahmud, Amir Hossain Raj, Duc M. Nguyen, Xuesu Xiao, Xuan Wang
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

🔍 Summary:
This study introduces DARC, a Disturbance-Aware Redundant Control framework for collaborative transportation tasks involving humans and robots. The approach models external disturbances and redundancy in robotic manipulators, optimizing joint selection for safety and efficiency. The proposed framework is validated on a real robot system, enhancing human-robot cooperation under dynamic conditions. It contributes to safer, smoother co-transportation by accounting for both task constraints and human unpredictability.

2.Title: Human Uncertainty-Aware MPC for Enhanced Human-Robot Collaborative Manipulation

Conference: 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
Date: May 12, 2024
DOI: 10.1109/icps59941.2024.10640020
Contributors: Al Jaber Mahmud, Duc M. Nguyen, Filipe Veiga, Xuesu Xiao, Xuan Wang

🔍 Summary:
This paper presents a novel Model Predictive Control (MPC) strategy that incorporates human uncertainty modeling in collaborative robot manipulation. The system anticipates potential deviations in human behavior and adapts robot actions accordingly. It improves coordination, responsiveness, and robustness in shared tasks, making it suitable for industrial and service robotics applications. Simulation and real-world results show improved safety and performance compared to traditional methods.

3.Title: Optimal Control and Performance Enhancement of DC-DC Bidirectional SEPIC Converter
Conference: 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Date: October 26, 2022
DOI: 10.1109/uemcon54665.2022.9965670
Contributors: Al Jaber Mahmud, Mehedi Hasan Mithun, Md. Ashik Khan, Fahim Faisal, Mirza Muntasir Nishat, Md. Ashraful Hoque

🔍 Summary:
This paper proposes an optimal control strategy for a bidirectional SEPIC (Single-Ended Primary Inductor Converter), improving voltage regulation and system stability. It compares performance under varying loads and control schemes. The approach enhances energy efficiency and switching performance, crucial for renewable energy systems and electric vehicles. MATLAB/Simulink simulations validate the model and demonstrate its superiority over traditional controllers.

4.Title: Performance and Comparative Analysis of PI and PID Controller-based Single Phase PWM Inverter Using MATLAB Simulink for Variable Voltage
Conference: 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
Date: June 1, 2022
DOI: 10.1109/icaect54875.2022.9807857
Contributors: Al Jaber Mahmud

🔍 Summary:
This work evaluates PI and PID control strategies for a single-phase Pulse Width Modulation (PWM) inverter using simulation in MATLAB Simulink. It analyzes performance metrics such as voltage regulation, response time, and error minimization under various load conditions. Results show PID control performs better in dynamic scenarios, offering greater accuracy and stability. This research is useful for power electronics and inverter design engineers.

5.Title: Firefly Algorithm Based Optimized PID Controller for Stability Analysis of DC-DC SEPIC Converter
Conference: 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Date: January 10, 2022
DOI: 10.1109/uemcon53757.2021.9666555
Contributors: Al Jaber Mahmud

🔍 Summary:
This paper applies the Firefly Optimization Algorithm to tune PID controller parameters for a DC-DC SEPIC converter. The goal is to achieve better voltage regulation, minimal overshoot, and quicker settling time. Simulation results confirm that this biologically inspired method outperforms conventional tuning techniques. The study supports integrating metaheuristic optimization in power electronics to improve converter stability and efficiency.

Conclusion:

Al Jaber Mahmud demonstrates a rare combination of technical depth, interdisciplinary innovation, and real-world implementation. His sustained research efforts in robotics and control, supported by impactful publications and practical outcomes, position him as an ideal recipient of a Best Researcher Award in the fields of Electrical Engineering, Robotics, and Human-Centered AI.

Ms Naomi Y. Mbelekani | Human Factors | Best Researcher Award

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Ms Naomi Y. Mbelekani | Human Factors | Best Researcher Award

Research Associate , School of Engineering and Design, Technical University of Munich , Germany

Naomi Y. Mbelekani 🇩🇪 is a dynamic Research Associate at the School of Engineering and Design, Technical University of Munich 🏛️. Her work bridges the cutting edge of human factors engineering 🤝, AI 🤖, and automated vehicle systems 🚗. Naomi is globally recognized for her innovative research in socially cognitive robots, behavioral adaptation, and human-computer interaction 🧠💻. With a strong publication record and cross-continental collaborations 🌍, she continues to influence both academia and industry. Passionate about responsible technology development, Naomi inspires future researchers while pushing the boundaries of human-machine symbiosis 🚀.

Professional Profile

SCOPUS

Education & Experience

Naomi holds a Ph.D. 🎓 from the Technical University of Munich, specializing in AI and automation in human-centric systems 🔄. Her research and experience span Europe and Israel, including key roles in projects like SHAPE-IT and SOCRATES 🤖. She combines neuroscience, ergonomics, and robotics to tackle challenges in automated driving and robotic-human interaction 🛣️. Naomi has worked with academic teams and industrial partners to design user-responsive technologies 🔧. Her interdisciplinary foundation in engineering, cognitive science, and project management ensures a comprehensive approach to problem-solving 🧠📘.

Professional Development

Naomi’s career is a blueprint of continual learning and impact 🌱. Through Marie Skłodowska-Curie Actions 🇪🇺, she gained high-level project management skills and collaborative leadership experience 🔬. Her training includes neuroergonomics, human-computer interfaces, and adaptive automation 🚀. She frequently engages in international conferences 🌍, publishes in leading journals 📑, and mentors early-stage researchers 👩‍🏫. Naomi’s participation in advanced workshops and policy-level research meetings shows her commitment to responsible tech integration and lifelong learning 💡. She is an emerging leader in human-centered design for future mobility and automation systems 🧩.

Research Focus Areas

Naomi’s research revolves around human-AI interaction 🤝, automated driving systems 🚗, and socially assistive robotics 🤖. Her focus includes neuroergonomics 🧠, behavioral adaptation, and the long-term cognitive impact of automation 🧩. She investigates how users interact, adapt, and trust machines in dynamic environments, contributing to safer and more intuitive systems 🔄. Projects like SHAPE-IT and SOCRATES explore these issues in practical contexts—bridging psychology, AI, and engineering 💡. Her research is critical for building ethical and human-responsive technology in public and private sectors 📈.

Awards & Honors

Naomi has received international recognition for her innovation and interdisciplinary research 🌍. She was a Marie Skłodowska-Curie Fellow 🇪🇺 under Horizon 2020, reflecting her excellence in collaborative EU research 🤝. Her impactful work on SHAPE-IT and SOCRATES has earned acclaim in academic and policy circles 🎓🏛️. Naomi’s peer-reviewed publications 📚 and public deliverables are widely cited and referenced. She has been nominated for the Best Researcher Award 🏆—a testament to her global contribution to intelligent systems, automation, and human-centered design 🚀. She continues to set standards in next-generation engineering and technology 🎖️.

Publication Top Notes

Title:
Risk and Safety-Based Behavioural Adaptation Towards Automated Vehicles: Emerging Advances, Effects, Challenges and Technique:

Mbelekani, N. Y. (Year). Risk and Safety-Based Behavioural Adaptation Towards Automated Vehicles: Emerging Advances, Effects, Challenges and Techniques. Conference Proceedings. School of Engineering and Design, Technical University of Munich.

Conclusion

Naomi Y. Mbelekani exemplifies the qualities of a world-class researcher: interdisciplinary depth, real-world application, international collaboration, and forward-thinking leadership. Her impactful work in the evolving domains of automation, human factors, and responsible AI directly contributes to safer, smarter, and more human-centric technologies.

Assoc. Prof. Dr Mostafa Salem | Medical Education | Excellence in Innovation

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Assoc. Prof. Dr Mostafa Salem | Medical Education | Excellence in Innovation

Assoc. Prof. Dr Mostafa Salem , King Faisal University , Saudi Arabia

Prof. Dr. Mostafa Aboulnour Salem 🇪🇬 is a renowned Egyptian academic specializing in instructional technology and innovation in higher education 📚. Currently a Professor at King Faisal University 🇸🇦, he has made impactful contributions to e-learning, AI integration, and educational reform 💡. With leadership roles including Director of the e-Learning Project at Northern Border University, he has collaborated with institutions such as the Saudi Ministry of Education, Aramco, and King Salman Center 🤝. His research combines cutting-edge technology and pedagogy, driving forward-thinking solutions in teaching and learning environments 🌐. His academic journey reflects dedication, innovation, and leadership 🧠✨.

Professional Profile

GOOGLE SCHOLAR

Education & Experience

Prof. Salem holds a PhD 🎓 and Master’s 🧑‍🏫 in Education from Cairo University 🇪🇬, and a Bachelor’s in Physics and Chemistry ⚛️ from Helwan University. He began his teaching journey at Northern Border University in Saudi Arabia 🇸🇦, advancing to King Faisal University where he now serves as a Professor 📘. With a career spanning over two decades, he’s taught in departments ranging from Computer Science 💻 to Educational Technology 🎮. He’s known for leading impactful curriculum development and tech-integrated teaching practices, making significant strides in both academic instruction and institutional digital transformation 🔍🧑‍💻.

Professional Development

Throughout his career, Prof. Salem has continually advanced his skills in instructional design 🎓, AI-powered learning 📊, AR/VR in education 🕶️, and digital transformation strategies 🌐. He has led strategic e-learning projects 📱 and collaborated with educational bodies on policy innovation 📘. His hands-on training and certifications cover big data analytics 📈, network security 🔐, software development 🖥️, and advanced programming languages including C++, Python, and Visual Basic 🧑‍💻. His professional growth is marked by continuous learning, leadership workshops, and cross-disciplinary innovations that empower future-ready education 💡🚀.

Research Focus Areas

Prof. Salem’s research spans educational technology 🧠, sustainability 🌱, medical education 🏥, and professional development. He actively explores artificial intelligence 🤖, machine learning 🧑‍💻, deep learning 📘, big data 📊, and immersive learning tools like augmented and virtual reality 🌐. His interdisciplinary focus connects instructional theory with practical digital solutions for transformative education 🎮. With a passion for future-oriented learning ecosystems, he drives research that enhances engagement, accessibility, and efficiency in both physical and digital classrooms 📚💻. His work has direct implications for national education strategies and technological integration in learning environments ⚙️📈.

Awards & Honors

Prof. Salem has received widespread recognition 🏅 for his outstanding contributions to education and research innovation 📘. He was honored for leading digital education initiatives with Saudi institutions 🇸🇦, and his projects have received support from top organizations like Aramco 🛢️ and the King Salman Center 🏛️. As a respected leader in AI and e-learning, he has presented at international conferences 🌍 and earned accolades for his role in national academic development strategies 📊. His achievements highlight a career built on excellence, leadership, and impact in both research and academic innovation 🎖️🏆.

Publication Top Notes

1. Before and Amid COVID-19 Pandemic, Self-Perception of Digital Skills in Saudi Arabia Higher Education: A Longitudinal Study

Citation: Salem, M. A., & Alsyed, W. H. (2022). International Journal of Environmental Research and Public Health, 19(16).
Summary:
This longitudinal study investigates the evolution of digital skills self-perception among Saudi university students before and during the COVID-19 pandemic. The authors assess changes in digital competence, confidence, and adaptation to remote education. The findings reveal a notable increase in digital literacy and skill development, highlighting the transformative impact of pandemic-driven e-learning adoption.
Citations: 27

2. Improving Social Performance through Innovative Small Green Businesses: Knowledge Sharing and Green Entrepreneurial Intention as Antecedents

Citation: Alshebami, A. S., Seraj, A. H. A., Elshaer, I. A., Al Shammre, A. S., Al Marri, S. H., et al., & Salem, M. A. (2023). Sustainability, 15(10), 8232.
Summary:
This research explores how knowledge sharing and green entrepreneurial intention influence the success of small green businesses. It emphasizes the role of innovation and social performance, particularly in the context of sustainability. Prof. Salem contributed to highlighting the impact of educational and training systems in cultivating green awareness and behavior in entrepreneurs.
Citations: 22

3. Educators’ Utilizing One-Stop Mobile Learning Approach Amid Global Health Emergencies: Do Technology Acceptance Determinants Matter?

Citation: Salem, M. A., & Elshaer, I. A. (2023). Electronics, 12(2), 441.
Summary:
The study assesses the use of a one-stop mobile learning platform among educators during the COVID-19 crisis. It evaluates key determinants of the Technology Acceptance Model (TAM), including perceived ease of use, usefulness, and behavioral intention. Results suggest that user satisfaction and digital infrastructure are essential for sustainable mobile learning adoption.
Citations: 16

4. A Quadruple “E” Approach for Effective Cyber-Hygiene Behaviour and Attitude toward Online Learning among Higher-Education Students in Saudi Arabia amid COVID-19 Pandemic

Citation: Salem, M. A., & Sobaih, A. E. E. (2023). Electronics, 12(10), 2268.
Summary:
This paper presents the Quadruple “E” framework—Engage, Enhance, Extend, and Evaluate—to promote cyber hygiene and improve online learning attitudes. The model identifies key behavioral drivers in student cybersecurity awareness and resilience, helping institutions design effective e-learning strategies amid health emergencies.
Citations: 10

5. ADIDAS: An Examined Approach for Enhancing Cognitive Load and Attitudes Towards Synchronous Digital Learning Amid and Post COVID-19 Pandemic

Citation: Salem, M. A., & Sobaih, A. E. E. (2022). International Journal of Environmental Research and Public Health, 19(24), 16972.
Summary:
The study introduces the ADIDAS model (Analyze, Design, Implement, Develop, Assess, Sustain) for structuring synchronous digital learning. It evaluates its impact on students’ cognitive load and motivation. Results support ADIDAS as a comprehensive instructional framework, fostering engagement and positive attitudes in online learning settings.
Citations: 8

6. UAE Suspends Multi-Billion Dollar Weapons Deal in Sign of Growing Frustration with US-China Showdown

Citation: Salem, M., Hansler, J., & Alkhaldi, C. (2021). CNN.
Summary:
Though not a scholarly article, this news report co-authored by Prof. Salem highlights geopolitical dynamics surrounding the UAE’s decision to halt a major weapons deal amid tensions between the U.S. and China. It demonstrates Prof. Salem’s engagement in international discourse beyond academia.
Citations: 7

7. Educational Sciences

Citation: Alenezi, A. M., & Salem, M. A. (2017). International Journal of Educational Sciences, 18(1–3), 56–64.
Summary:
This article explores educational theory and practice, examining pedagogical methods and technology use in modern classrooms. It provides empirical insights into how teaching strategies can be adapted for more effective knowledge retention, especially in science and technology education.
Citations: 7

8. Exploring the Impact of Mobile Exams on Saudi Arabian Students: Unveiling Anxiety and Behavioural Changes Across Majors and Gender

Citation: Salem, M. A., & Alshebami, A. S. (2023). Sustainability, 15(17), 12868.
Summary:
This study investigates how mobile-based exams influence student anxiety and behavior. It analyzes results by academic major and gender, revealing that digital assessment can both alleviate and exacerbate test stress depending on context. The paper calls for inclusive and adaptive mobile testing strategies.
Citations: 1

9. The Effectiveness of an Educational Strategy Based on Interaction Between Two Learning Styles and Player Styles

Citation: Salem, M. A. (2019). Al-Azhar University, College of Education.
Summary:
This research explores personalized learning approaches that consider students’ learning and player styles (e.g., explorer, social, advanced). The strategy showed significant improvements in engagement and academic outcomes, especially in gamified learning environments. It advocates for integrating player psychology into instructional design.
Citations: (Not indexed)

10. The Impact of Integration Between Two Types of Electronic Support and Two Participatory Learning Strategies via Smartphones

Citation: Salem, M. A. (2018). Journal of Specific Education Research, 49, 807–869.
Summary:
This study evaluates how fixed vs. flexible electronic support, combined with participatory strategies like “Think-Pair-Share,” affect mobile learning outcomes. Results show that flexible, socially enriched environments enhance understanding and peer collaboration. The research supports mobile-first learning as a future education model.
Citations: (Not indexed)

Conclusion

Prof. Dr. Mostafa Aboulnour Salem demonstrates visionary leadership, research excellence, and practical innovation in transforming higher education through cutting-edge technologies. His proactive approach to digital learning during the COVID-19 crisis, combined with long-term contributions in AI, mobile education, and instructional design, establishes him as a front-runner for the Excellence in Innovation Award. His work has not only shaped academic theory but also delivered measurable impact at national and institutional levels.

Dr Sepideh jahaniVakilKandi | Electrical Control Engineering | Best Researcher Award

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Dr Sepideh JahaniVakilKandi | Electrical Control Engineering | Best Researcher Award

Dr Sepideh jahani VakilKandi , University of Zanjan , Iran

A passionate researcher in ⚡Electrical Control Engineering, this Ph.D. graduate from the University of Zanjan specializes in cyber-physical systems 🛡️, machine learning 🤖, and system security 🔐. Her research journey began at the University of Tabriz and continues with an ambitious path toward postdoctoral studies 📚. With a strong foundation in robust adaptive control and a keen interest in intelligent systems like self-driving cars 🚗, she aims to shape future innovations in both academia and industry. Her work demonstrates diligence, innovation, and a relentless drive to advance control systems that withstand modern technological threats. 🌟

Professional Profile

SCOPUS

Education & Experience 

She earned her 🎓 B.Sc. and M.Sc. in Electrical Control Engineering from the University of Tabriz, where she worked on wind turbine systems and intelligent heart rate control 🏃‍♀️❤️. Her Ph.D. from the University of Zanjan (2018–2025) focused on the resilient control of cyber-physical systems under cyber-attacks 🛡️💻. Her academic journey includes hands-on research in quadrotor modeling 🚁, robotic manipulator control 🤖, and fuzzy adaptive systems. Through various assistantships and development projects, she has cultivated strong analytical, modeling, and programming skills crucial for advanced control system design. 📈

Professional Development 

She has actively engaged in applied R&D throughout her academic career 🔬. From designing robust H∞ controllers for quadrotors 🚁 to developing terminal sliding-mode controllers for robotic manipulators 🤖, her work bridges theory with real-world application. Her skill set includes adaptive control, fuzzy logic, reinforcement learning, and Lyapunov-based system stability proofs 🧠📐. She embraces continuous learning, participating in workshops, collaborative labs, and peer research forums 📚🌍. With a deep interest in future tech and cyber resilience, she continues to enhance her professional capabilities through technical training and interdisciplinary innovation. 💡

Research Focus Area 

Her research domain spans Cyber-Physical Systems (CPS), System Security 🛡️, Malware Analysis 🐛, Robust Control Systems ⚙️, and Reinforcement Learning 🤖. These fields address the intersection of hardware reliability and software security—critical in a world of autonomous systems and AI-integrated infrastructure 🌐. She particularly excels in building resilient control frameworks that endure cyber-attacks and unpredictable environmental factors. Her studies merge traditional control theory with modern techniques like fuzzy logic and deep learning 🧠. Her goal is to push the frontier of secure, adaptive, and intelligent control systems for robotics, autonomous vehicles 🚘, and networked infrastructure systems. 🌍

Awards and Honors 

Although early in her career, her academic excellence and research rigor have earned her recognition in university research circles 🎓🏆. Her participation in funded projects at the University of Tabriz and Zanjan, and contributions to CPS resilience under cyber threats, have positioned her as a promising researcher in control engineering 🔬💪. She has received commendations for innovative modeling techniques, contribution to R&D labs, and academic presentations at technical conferences 📢. Her work on intelligent control systems and fuzzy adaptive designs continues to gain traction, setting her up as a future leader in robust automation and cyber-secure technologies. 🌟🎖️

Publication Top Notes

1.Robust Model Predictive Control of Cyber-Physical LPV Systems
S. Jahani, F. Bayat, A. Jalilvand
2023 | IEEE ICEE Conference
DOI: 10.1109/ICEE59167.2023.10334679
✅ Developed a Robust Model Predictive Control (RMPC) framework for Linear Parameter Varying (LPV) systems under deception attacks and disturbances. Demonstrated significant resilience and precision, ideal for real-world cyber-physical applications.

2.Cyber-Physical Systems Under Hybrid Cyber-Attacks
S. Jahani, F. Bayat, A. Jalilvand
2025 | ISA Transactions (Elsevier)
DOI: 10.1016/j.isatra.2025.05.011
✅ Introduced a Resilient Event-Triggered H∞ Control strategy, capable of defending against hybrid attacks (DoS + deception). Offers a balance between security and efficient communication in networked control systems.

3.Adaptive Control of Autonomous Electric Vehicles (Under Review)
S. Jahani, F. Bayat, A. Jalilvand
2025 | Submitted to Intelligent Vehicle Journal
✅ Proposes an adaptive event-triggered control for electric vehicles facing actuator faults and cyber-attacks. A major contribution to fault-tolerant autonomous driving systems under uncertain cyber environments.

4. Event-Triggered Consensus in Multi-Agent Systems (Under Review)
S. Jahani, F. Bayat, A. Jalilvand
2025 | Submitted to Computational and Applied Mathematics
✅ Investigates multi-agent consensus control using event-triggering and H∞ robustness. Ensures stability and synchronization among agents in presence of multiple cyber intrusions, applicable in swarm robotics and smart grids.

Conclusion

With a consistent track record of scientific excellence, innovative methodologies, and relevance to pressing technological issues, S. Jahani is highly deserving of the Best Researcher Award. Her vision toward secure, intelligent, and resilient systems positions her as a future leader in smart automation and control engineering.

Ms XinjieWang | Biomineralization Awards | Best Researcher Award

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Ms XinjieWang | Biomineralization Awards | Best Researcher Award

Ms XinjieWang , Institute of Geology, Chinese Academy of Geological Sciences , China

Xinjie Wang 🎓 is a dedicated paleontology researcher currently pursuing a Master’s degree at the Institute of Geology, Chinese Academy of Geological Sciences 🏛️. His academic journey began at Shandong University of Science and Technology 🧪. Under the guidance of Dr. Yang Ben, he focuses on biomineralization in Ediacaran and Cambrian organisms 🦠🪨. His innovative research on the taphonomy of Sinotubulites integrates advanced techniques like EBSD and CL 🔬. Passionate about Earth’s deep past 🌍, Xinjie contributes to understanding fossil preservation and early life evolution, bridging geology and biology through cutting-edge science. 🌟

Professional Profile

ORCID

Education & Experience 

Xinjie Wang 📘 earned his undergraduate degree from Shandong University of Science and Technology 🏫, where he laid a strong foundation in geosciences and paleontology 🦴. Currently, he is pursuing his Master’s degree at the prestigious Institute of Geology, Chinese Academy of Geological Sciences 🧬. His mentor, Dr. Yang Ben 🧑‍🏫, guides him in conducting specialized research on biomineralization and fossilization in early life forms. With hands-on experience in advanced analytical techniques 🧪 and fieldwork across fossil-rich regions of China 🏞️, Xinjie has steadily built expertise in geological research and evolutionary biology. 🧭📖

Professional Development 

As part of his academic journey, Xinjie Wang 🔍 has actively contributed to national scientific research programs such as the China Geological Survey (DD20230221) 📊 and National Natural Science Foundation of China projects (42372042, U2244202) 🌐. He has published in peer-reviewed journals like Minerals 📝 and is committed to continuous professional growth through collaborative fieldwork, lab research, and scientific communication. His work integrates electron backscatter diffraction (EBSD) and cathodoluminescence (CL) to study fossil mineralogy 🔬. Through mentorship and team participation, he’s sharpening both research and analytical skills 💼, aligning his development with global geological challenges 🌍.

Research Focus 

Xinjie Wang’s research 🧠 centers on biomineralization and paleontology 🦕, especially within Ediacaran and Cambrian tubular organisms like Sinotubulites. His work deciphers fossil preservation processes through taphonomy 🔍, applying integrated technologies such as EBSD and CL to understand diagenetic transformations 🔬. By examining the structural and mineralogical signatures of ancient life, he contributes to the evolutionary narrative of biomineralizing organisms 🌱. His studies are pivotal in resolving debates on early life complexity, fossil record interpretation, and paleoenvironmental conditions 🌊. Through this niche field, he offers valuable insights into ancient biological innovation and sedimentary processes ⛏️.

Awards and Honors

While early in his career, Xinjie Wang 🏅 has already gained notable recognition for his scientific contributions to paleontology and geoscience. His research was supported by esteemed national funding bodies including the National Natural Science Foundation of China 📚 and the China Geological Survey 🌏. He is a nominee for the Best Researcher Award 🥇 at the International Research Scientist Awards, honoring his innovative use of taphonomic and mineralogical techniques in decoding fossil records 🦴. His high-impact publication in Minerals reflects academic excellence 🌟 and solidifies his standing as a promising young geoscientist with global relevance. 🚀

Publication Top Notes

Title of the Publication:

Taphonomic Analysis of the Sinotubulites from the Shibantan Member of the Dengying Formation in Yangtze Gorges Area (China)

Wang, X., Yang, B., An, Z., & Zhao, Z. (2025). Taphonomic Analysis of the Sinotubulites from the Shibantan Member of the Dengying Formation in Yangtze Gorges Area (China). Minerals, 15(6), 570. https://doi.org/10.3390/min15060570

Conclusion

Given his impactful contributions, technical expertise, and publication record at the early stage of his career, Xinjie Wang is highly suitable for the Best Researcher Award. His work not only enriches scientific understanding of ancient life but also sets a foundation for future innovations in geoscience and paleobiology.

Mr Xinjie Wang | Biomineralization | Best Researcher Award

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Mr Xinjie Wang | Biomineralization | Best Researcher Award

Mr Xinjie Wang | Institute of Geology, Chinese Academy of Geological Sciences | China

Xinjie Wang  is a passionate young researcher 📚 currently pursuing a Master’s degree 🧑‍🎓 in Paleontology at the Institute of Geology, Chinese Academy of Geological Sciences 🇨🇳. Under the guidance of Dr. Yang Ben, Xinjie focuses on biomineralization processes in early life forms 🦠. He has made impactful contributions to the taphonomic and mineralogical study of Sinotubulites, advancing our understanding of fossil preservation during the Ediacaran–Cambrian transition ⛏️. With a strong academic foundation and commitment to geoscience innovation 🌍, Xinjie stands out as a promising figure in the field of paleontology and early life evolution 🧬.

Professional Profile

ORCID

Education & Experience

Xinjie Wang began his academic journey at Shandong University of Science and Technology 🎓, where he laid a strong foundation in geology 🪨. He is currently pursuing his Master’s degree in Paleontology 🧑‍🔬 at the prestigious Institute of Geology, Chinese Academy of Geological Sciences 🏛️. Under the mentorship of Dr. Yang Ben 👨‍🏫, he actively engages in research involving early biomineralizing organisms 🧫. His academic training includes fieldwork, fossil analysis, and advanced imaging techniques 🔬. Xinjie’s experience is enriched by his involvement in national scientific projects, allowing him to bridge academic research with applied geological studies 🌐.

Professional Development

Xinjie Wang’s professional growth is fueled by high-impact research 🧪 and collaboration in nationally funded projects, such as those supported by the National Natural Science Foundation of China and China Geological Survey 🇨🇳. His recent publication in Minerals 📖 reflects his expertise in taphonomic analysis using EBSD and CL imaging techniques 🔍. By integrating modern microscopy with paleontological inquiry, he has built a strong framework for analyzing Ediacaran fossil records 🪷. Xinjie actively collaborates within geological institutes and contributes to China’s growing body of paleontological literature, reinforcing his professional identity as a future leader in the geosciences 🌏.

Research Focus & Category 

Xinjie Wang’s research is centered on Biomineralization and Paleontology 🧬🦴, particularly within the Ediacaran and Cambrian periods. His work sheds light on fossil preservation mechanisms through advanced analytical techniques like EBSD and cathodoluminescence microscopy 🔬. By studying Sinotubulites, he investigates early mineral-forming biological processes and their taphonomic transformations 🧫. His work contributes to understanding evolutionary milestones and geobiological interactions 🌍. Aligned with the “Best Researcher Award” category 🏆, his efforts blend traditional paleontology with modern imaging tools, making significant contributions to earth history, fossil mineralogy, and the paleogeography of early life on Earth 📜.

Awards & Honors 

Xinjie Wang is emerging as a distinguished researcher in paleontology 🏅. He is the lead author of a peer-reviewed study published in Minerals 📘 and actively contributes to nationally funded scientific programs, including projects supported by the National Natural Science Foundation of China and the China Geological Survey 📊. His recognition stems from pioneering work on Sinotubulites, contributing to fossil taphonomy and biomineralization frameworks 🦠. These achievements position him as a top candidate for honors like the Best Researcher Award 🏆. His commitment to academic integrity, innovation, and field relevance underscores his rising impact in geological sciences 🧭.

Publication Top Notes

Taphonomic Analysis of the Sinotubulites from the Shibantan Member of the Dengying Formation in Yangtze Gorges Area (China)

Wang, X., Yang, B., An, Z., & Zhao, Z. (2025). Taphonomic analysis of the Sinotubulites from the Shibantan Member of the Dengying Formation in Yangtze Gorges Area (China). Minerals, 15(6), 570. https://doi.org/10.3390/min15060570

Conclusion

Xinjie Wang is a deserving nominee for the Best Researcher Award. His scientific innovation, methodological expertise, and impactful early-career contributions set him apart as a future leader in paleontology and geoscience research. His work bridges traditional fossil analysis with cutting-edge technology, making a significant mark on the field.