Assist. Prof. Dr Dan Liu | Transportation | Best Researcher Award |

Assist. Prof. Dr Dan Liu | Transportation | Best Researcher Award |ย 

Assistant professor, at Kean University, United States.

Dr. Dan Liu is an Assistant Professor at Kean University, USA, specializing in data analytics, deep learning, and combinatorial optimization applied to freight transportation, logistics, and sustainable supply chain management. With a strong academic and research background, she has contributed significantly to advancing resilient and sustainable transportation systems through cutting-edge methodologies and interdisciplinary collaborations.

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Education ๐ŸŽ“

Dr. Liu earned her Ph.D. in Management from Northwestern Polytechnical University, China (2013), following an M.S. in Economics and Management from Xiโ€™an Technological University (2009) and a B.S. in Mechanical Electronic Engineering from the same institution (2006). Her education laid the foundation for her expertise in optimization, data-driven logistics, and urban freight systems.

Professional Experience ๐Ÿ’ผ

Before joining Kean University (2024), Dr. Liu was an Associate Professor at the University of Shanghai for Science and Technology (2021-2024) and a Research Assistant Professor (2019-2021) and Postdoctoral Fellow (2019) at Florida Atlantic University, USA. She has also served as a Visiting Professor at Eindhoven University of Technology, Netherlands (2023), collaborating on sustainable freight and logistics research.

Research Interests ๐ŸŒ

Her research explores deep learning, smart logistics, and sustainable transportation, with a particular interest in freight network resilience, last-mile delivery optimization, and intermodal transport systems. She applies AI, data-driven decision-making, and optimization techniques to enhance supply chain efficiency while promoting environmental sustainability.

Awards & Honors ๐Ÿ†

Dr. Liu has received several accolades, including the Shaanxi Province Science & Technology Award for collaborative product development, the Transportation Science and Technology Award (2019) for intermodal freight network design, and recognition for her work on IoT applications for autism care (2016). Her contributions in transportation planning and logistics research have earned her widespread recognition.

Top Noted Publications ๐Ÿ“š

Predicting Freeway Traffic Crash Severity Using XGBoostโ€Bayesian Network Model with Consideration of Features Interaction โ€“ Y. Yang, K. Wang, Z. Yuan, D. Liu โ€“ 79 citations, Journal of Advanced Transportation, 2022

Design of Sustainable Urban Electronic Grocery Distribution Network โ€“ D. Liu, Z. Deng, W. Zhang, Y. Wang, E.I. Kaisar โ€“ 67 citations, Alexandria Engineering Journal, 2021

Two-Echelon Vehicle-Routing Problem: Optimization of Autonomous Delivery Vehicle-Assisted E-Grocery Distribution โ€“ D. Liu, Z. Deng, X. Mao, Y. Yang, E.I. Kaisar โ€“ 63 citations, IEEE Access, 2020

Hybrid Artificial Immune Algorithm for Optimizing a Van-Robot E-Grocery Delivery System โ€“ D. Liu, P. Yan, Z. Pu, Y. Wang, E.I. Kaisar โ€“ 37 citations, Transportation Research Part E, 2021

Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale โ€“ D. Liu, Z. Deng, Q. Sun, Y. Wang, Y. Wang โ€“ 29 citations, Sustainability, 2019

Conclusion

Dr. Dan Liu is a strong candidate for the Best Researcher Award due to high-quality publications, international collaborations, and leadership in transportation and supply chain research. Strengthening citation metrics, securing major grants, and expanding interdisciplinary work could further solidify competitiveness.

Prof Fatemah Alharbi | Cybersecurity | Best Researcher Award |

Prof. Fatemah Alharbi | Cybersecurity | Best Researcher Award |ย 

Assistant Professor, at Taibah University, Saudi Arabia.

Prof. Fatemah Mordhi Alharbi is a cybersecurity and AI researcher, educator, and industry consultant specializing in AI-driven cyber defense, federated learning, and digital resilience. She holds a Ph.D. in Computer Science from the University of California, Riverside and currently serves as an Assistant Professor at Taibah University, a Visiting Assistant Researcher at UC Riverside, and a Research Advisor at Cybersee Company. Prof. Alharbi has been recognized among the Top 40 Under 40 in Cybersecurity (2024) and the Top Cybersecurity Women of the World (2024). Her research focuses on securing Industry 4.0 systems, IoT networks, and critical infrastructures, with multiple papers under review in top-tier IEEE and Elsevier journals. Beyond academia, she actively contributes to global cybersecurity awareness as the Ambassador of Saudi Arabia for the Global Council of Responsible AI and a peer reviewer for leading cybersecurity journals.

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Education ๐ŸŽ“

Prof. Fatemah Alharbi holds a Ph.D. in Computer Science from the University of California, Riverside (2020), where she specialized in cybersecurity and AI-driven security frameworks. She earned her M.S. in Computer Science from California State University, Los Angeles (2013) and completed her B.S. in Computer Science at King Abdulaziz University, Saudi Arabia (2009).

Professional Experience ๐Ÿ’ผ

Prof. Alharbi is an Assistant Professor at the Computer Science Department, Taibah University (Yanbu Campus, Saudi Arabia) and a Visiting Assistant Researcher at the University of California, Riverside. She also serves as a Research Advisor at Cybersee Company and holds a part-time Assistant Professor position at the University of Prince Mugrin. Previously, she worked as a Cybersecurity Consultant at Dera Company and led the Cybersecurity Awareness Month Initiative as CEO. In 2025, she was appointed as the Ambassador of Saudi Arabia for the Global Council of Responsible AI.

Research Interests ๐ŸŒ

Her research explores cybersecurity, AI-driven cyber defense, federated learning, and digital resilience, with a strong emphasis on protecting Industry 4.0 systems, IoT security, and critical infrastructures. She has contributed to hierarchical federated learning, adaptive cyber defense for renewable energy grids, and cyber resilience in Saudi Arabia. Her work bridges the gap between AI, security, and real-world applications in smart grids, healthcare, and digital forensics.

Awards & Honors ๐Ÿ†

Prof. Alharbi has received multiple prestigious recognitions, including the “Top International 40 Under 40 in Cybersecurity” (2024) and the “Top Cybersecurity Women of the World” (2024) awards. She was honored with the “Excellence Woman Award” (2024) and was previously featured in the Cybersecurity Women of the Year Awards (2023). In 2021, she was named among the “15 Remarkable Arab Female Scientists”, recognizing her groundbreaking contributions to cybersecurity.

Top Noted Publications ๐Ÿ“š

“Collaborative Client-Side DNS Cache Poisoning Attack” โ€“ F. Alharbi, J. Chang, Y. Zhou, F. Qian, Z. Qian, N. Abu-Ghazaleh | IEEE INFOCOM | Citations: 65 | Year: 2019

“Zombie Awakening: Stealthy Hijacking of Active Domains Through DNS Hosting Referral” โ€“ E. Alowaisheq, S. Tang, Z. Wang, F. Alharbi, X. Liao, X.F. Wang | ACM SIGSAC Conference on Computer and Communications Security | Citations: 31 | Year: 2020

“DNS Poisoning of Operating System Caches: Attacks and Mitigations” โ€“ F. Alharbi, Y. Zhou, F. Qian, Z. Qian, N. Abu-Ghazaleh | IEEE Transactions on Dependable and Secure Computing | Citations: 22 | Year: 2022

“CSProp: Ciphertext and Signature Propagation โ€“ Low-Overhead Public-Key Cryptosystem for IoT Environments” โ€“ F. Alharbi, A. Alrawais, A.B. Rabiah, S. Richelson, N. Abu-Ghazaleh | USENIX Security Symposium | Citations: 8 | Year: 2021

“Opening Digital Borders Cautiously Yet Decisively: Digital Filtering in Saudi Arabia” โ€“ F. Alharbi, M. Faloutsos, N. Abu-Ghazaleh | USENIX Workshop on Free and Open Communications on the Internet (FOCI) | Citations: 8 | Year: 2020

Conclusion

Dr. Alharbi has exceptional qualifications, particularly in cybersecurity and AI. If she strengthens her accepted publications, grant funding, and research impact metrics, she would be a top contender for the Best Researcher Award.

Dr Ziyi Yang | Communication | Best Researcher Award |

Dr. Ziyi Yang | Communication | Best Researcher Award |ย 

Associate researcher , at Beijing Institute of Technology,China.

Dr. Ziyi Yang is a Special Associate Professor at the Beijing Institute of Technology and an internationally recognized researcher in wireless communications, intelligent networking, and cybersecurity. With extensive academic, research, and editorial contributions, Dr. Yang has made significant strides in Reconfigurable Intelligent Surfaces (RIS), Satellite-Terrestrial Communications, MIMO networks, and AI-assisted secure communication systems. As a senior member of IEEE, Communications Society, and multiple research committees, he plays a crucial role in shaping the future of next-generation communication technologies.

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Education ๐ŸŽ“

Dr. Yang earned his Ph.D. in Electrical Engineering (EE) from Beijing Institute of Technology in 2021, with a research focus on advanced communication technologies. During his doctoral studies, he was a Visiting Scholar at Chalmers University of Technology (Sweden), specializing in Micro-technology and Nano-science (MC2). His academic journey began with a Bachelorโ€™s degree in Electrical Engineering from Beijing Institute of Technology, further solidifying his expertise in the field.

Professional Experience ๐Ÿ’ผ

Since 2021, Dr. Yang has been serving as a Special Associate Professor at the School of Cyberspace Science and Technology, Beijing Institute of Technology, mentoring both master’s and international students. He actively contributes as a committee member in IEEE, RISTA, CICC, and Biophysical Society. Additionally, he holds editorial roles in journals such as Mathematics and Computer Science, Sensors, and Internet of Things and Smart Systems. His expertise is frequently sought as a Technical Program Chair, Session Chair, and Workshop Organizer for major international conferences.

Awards & Honors ๐Ÿ†

Dr. Yang has received several prestigious accolades, including the Second Prize in the CICC Science and Technology Award, the Best Organization Award at ICFEEIE, and the Outstanding Individual Award at Beijing Institute of Technology. His excellence in research and academic service has also earned him first prizes in multiple national and international competitions, such as the ARM-CYPRESS PSoC4 and the Century Cup. Additionally, he has been recognized as an Excellent Reviewer for top-tier journals like Computer Networks.

Top Noted Publications ๐Ÿ“š

Porous Carbon-Supported Catalysts for Proton Exchange Membrane Fuel Cells

Authors: P. Song, J. Chen, Z. Yin, Z. Yang, L. Wang

Journal: ChemCatChem

Year: 2025

Citations: 2

RIS-Aided Space-Terrestrial Secure Communication under Multi-Eavesdropper and Malignant Interference

Authors: Z. Yang, Z. Ni, P. Yue, S. Wang, J. An

Journal: IEEE Transactions on Aerospace and Electronic Systems

Year: 2025

Citations: 0

Conclusion

Ziyi Yang is a strong candidate for the Best Researcher Award due to extensive contributions to wireless communications, cybersecurity, and intelligent networking. To further enhance the chances of winning, focusing on global research impact, high citation indices, major funding, and industry partnerships would be beneficial.

Prof. Dr Debasish Roy | Biochemistry | Best Researcher Award |

Prof. Dr. Debasish Roy | Biochemistry | Best Researcher Award |ย 

Professor of Chemistry & Biochemistry, at The City University of New York, United States.

Prof. Dr. Debasish Roy is a distinguished biochemist specializing in molecular oncology, radiation-induced carcinogenesis, and environmental toxicology. He holds a Ph.D. in Biochemistry & Molecular Biology from Kolkata University, India and has over two decades of academic and research experience. Currently a Full Professor at Hostos College, CUNY, he has also held research positions at Columbia University, Brookhaven National Laboratory, and NASAโ€™s Space Radiation Lab. His work focuses on understanding the genetic and biochemical mechanisms of cancer progression, radiation effects, and estrogen exposure in breast cancer. A recipient of the prestigious Japan Society for Promotion of Science (JSPS) Fellowship, Dr. Roy has contributed significantly to the field, authoring 42 major publications with 816 citations and an impact score of 151.92. His research has been published in high-impact journals, and his global collaborations continue to advance cancer biology and therapeutic strategies.

Professional Profile

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Education ๐ŸŽ“

Prof. Dr. Debasish Roy holds a Ph.D. in Biochemistry & Molecular Biology (1996) from Kolkata University, India, where he also earned his M.Sc. in Biochemistry (1988) and B.Sc. in Chemistry (1986). His academic foundation in biochemical sciences laid the groundwork for his extensive research in cancer biology, radiation effects, and environmental toxicology.

Professional Experience ๐Ÿ’ผ

With over two decades of academic and research experience, Dr. Roy has held professorships and research positions at esteemed institutions, including Hostos College (CUNY), NYU-Tandon School of Engineering, Columbia University, Brookhaven National Laboratory, and Toyama Prefectural University (Japan). Since 2006, he has been a Full Professor (Tenured) at Hostos College (CUNY), mentoring students and leading groundbreaking research in biochemistry and molecular sciences.

Awards & Honors ๐Ÿ†

Dr. Roy has received several prestigious recognitions, including a Japan Society for Promotion of Science (JSPS) Fellowship and research appointments at NASAโ€™s Space Radiation Lab, Brookhaven National Laboratory, and Columbia Universityโ€™s Center for Radiological Research. His international collaborations and contributions to cancer biology have solidified his reputation as a leading researcher in the field.

Top Noted Publications ๐Ÿ“š

1. Genes Associated with the Immune System Affected by Ionizing Radiation and Estrogen in an Experimental Breast Cancer Model โ€“ G.M. Calaf, D. Roy, L.S. Jara, C.A. Romero, L.A. Crispin โ€“ Biology, 2024 โ€“ 0 Citations

2. Gene Signature Associated with Nervous System in an Experimental Radiation- and Estrogen-Induced Breast Cancer Model โ€“ G.M. Calaf, D. Roy, L.S. Jara, F.R. Aguayo, L.A. Crispin โ€“ Biomedicines, 2023 โ€“ 1 Citation

3. Ionizing Radiation and Estrogen Affecting Growth Factor Genes in an Experimental Breast Cancer Model โ€“ G.M. Calaf, L.A. Crispin, J.P. Muรฑoz, D. Roy, G. Narayan โ€“ International Journal of Molecular Sciences, 2022 โ€“ 5 Citations

Conclusion

Dr. Roy is a strong candidate for the Best Researcher Award, given his longstanding research contributions in cancer biology and radiation effects, his extensive publication record, and international collaborations. Strengthening his case with higher citations, leadership roles, grant funding, and translational research could make his profile even more competitive.

Dr Amar Arab | Geology | Excellence in Research Award |

Dr. Amar Arab | Geology | Excellence in Research Award |ย 

Lecturer, at Bouira university, Algeria.

Dr. Amar Arab is a distinguished geoscientist specializing in metamorphic petrology, geochemistry, and geochronology. His research primarily focuses on high-grade metamorphic rocks, eclogite- and granulite-facies evolution, and the tectonic history of the Hoggar and Tuareg Shields. With multiple high-impact publications and collaborations with international experts, he has significantly contributed to understanding Precambrian geology and lithospheric processes in North Africa.

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Education ๐ŸŽ“

Dr. Arab holds advanced degrees in Geology and Earth Sciences, with a focus on metamorphic processes, pressure-temperature (P-T) path analysis, and geochronology. His academic journey has provided him with expertise in geochemical modeling, mineral phase equilibria, and tectonic reconstructions.

Professional Experience ๐Ÿ’ผ

With extensive experience in academic research, field studies, and collaborative projects, Dr. Arab has worked alongside renowned geoscientists from Europe and Africa. His professional background includes:

Leading and participating in geological field expeditions across North Africa.

Contributing to international geological research projects on the Neoproterozoic and Pan-African metamorphic history.

Engaging in mentorship and scientific discussions within the global geology community.

Awards & Honors ๐Ÿ†

Dr. Arabโ€™s contributions have been recognized through various awards and honors in geosciences, acknowledging his outstanding research, publications, and collaborations. His work has been featured in prestigious journals and international geological forums.

Top Noted Publications ๐Ÿ“š

Title: Petrology and P-T Evolution of High-Grade Garnet Metabasites from the Tin Begane Area (Laouni Terrane, South Algeria)

Authors: A. Arab, A. Bitam-Derridj, K. Ouzegane, G. Godard, S.A. Doukkari

Journal: Chemie der Erde – Geochemistry

Year of Publication: 2025

Citations: 0 (as of now)

Indexing: To be confirmed based on database listings (Scopus, Web of Science, etc.)

Conclusion

Amar Arab is a highly suitable candidate for the Excellence in Research Award, given their strong research contributions, international collaborations, and impact in metamorphic petrology and geochemistry. Strengthening leadership roles in research projects and publishing more as a first author could further enhance their profile.

Dr Ahmed Ramses El-Saeed | Mathematical Statistics | Best Researcher Award |

Dr. Ahmed Ramses El-Saeed | Mathematical Statistics | Best Researcher Award |ย 

Faculty of Science, at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Dr. Ahmed Ramses El-Saeed is an accomplished Assistant Professor of Statistics at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. With a deep expertise in Bayesian and non-Bayesian inference, lifetime data analysis, and statistical modeling, he has made significant contributions to the field of mathematical statistics. His research focuses on the development of advanced statistical methodologies for real-world applications, including reliability engineering, data science, and econometrics. Over the years, Dr. El-Saeed has built a strong academic and research career, publishing impactful studies and actively engaging in statistical education and training.

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Education ๐ŸŽ“

Dr. El-Saeed earned his Ph.D. in Statistics from Cairo University, Egypt (2020), with a thesis titled โ€œBayesian and Non-Bayesian Inference for Some Inverted Lifetime Distributions under Progressive Censoring Schemes.โ€ Prior to that, he completed his M.Sc. in Statistics (2015) at Cairo University, focusing on life testing sampling plans. His academic journey began with a B.A. in Commerce (Statistics and Insurance) from Zagazig University (2010), where he graduated with distinction. He has also completed specialized certifications in Deep Learning, R Programming, SPSS, and Structural Equation Modeling, enhancing his expertise in data analytics and computational statistics.

Professional Experience ๐Ÿ’ผ

With over a decade of experience in academia, Dr. El-Saeed has held various teaching and research positions:

Assistant Professor of Statistics at IMSIU, Saudi Arabia (2023 โ€“ Present), where he teaches advanced statistical methodologies and supervises research projects.

Lecturer of Statistics at Al-Obour High Institute for Management and Informatics, Egypt (2020 โ€“ 2023), contributing to curriculum development and statistical training.

Assistant Lecturer and Demonstrator of Statistics (2012 โ€“ 2020), mentoring students and conducting research in mathematical statistics.

Awards & Honors ๐Ÿ†

Dr. El-Saeed has been recognized for his academic excellence and contributions to statistical research. His work has been featured in reputable peer-reviewed journals, and he has received accolades for his dedication to statistical education and innovation. Additionally, his engagement in international research collaborations has positioned him as a respected scholar in the field.

Top Noted Publications ๐Ÿ“š

Power Inverted Toppโ€“Leone Distribution in Acceptance Sampling Plans
Authors: SGN Tahani A. Abushal, Amal S. Hassan, Ahmed R. El-Saeed
Journal: Computers, Materials & Continua
Citations: 26
Year: 2021

A New Distribution for Modeling Data with Increasing Hazard Rate: A Case of COVID-19 Pandemic and Vinyl Chloride Data
Authors: AH Tolba, CK Onyekwere, AR El-Saeed, N Alsadat, H Alohali, OJ Obulezi
Journal: Sustainability
Citations: 21
Year: 2023

Estimation of Entropy for Log-Logistic Distribution under Progressive Type II Censoring
Authors: ME M. Shrahili, Ahmed R. El-Saeed, Amal S. Hassan, Ibrahim Elbatal
Journal: Journal of Nanomaterials
Citations: 21
Year: 2022

Classical and Bayesian Estimation of the Inverse Weibull Distribution: Using Progressive Typeโ€I Censoring Scheme
Authors: A Algarni, M Elgarhy, A M Almarashi, A Fayomi, A R El-Saeed
Journal: Advances in Civil Engineering
Citations: 21
Year: 2021

Bayesian and Non-Bayesian Estimation of the Nadarajahโ€“Haghighi Distribution: Using Progressive Type-I Censoring Scheme
Authors: I Elbatal, N Alotaibi, SA Alyami, M Elgarhy, AR El-Saeed
Journal: Mathematics
Citations: 12
Year: 2022

Acceptance Sampling Plans for the Three-Parameter Inverted Toppโ€“Leone Model
Authors: SG Nassr, AS Hassan, R Alsultan, AR El-Saeed
Journal: Mathematical Biosciences & Engineering
Citations: 12
Year: 2022

Conclusion

Dr. Ahmed R. El-Saeed is a strong candidate for a Best Researcher Award, particularly if the award criteria emphasize expertise in Bayesian inference, lifetime data analysis, and statistical modeling. To enhance his chances, he should increase high-impact journal publications, seek research funding, and highlight past recognitions.

Prof. Dr Fadia El Sherif | Plant biotechnology | Women Researcher Award |

Prof. Dr. Fadia El Sherif | Plant biotechnology | Women Researcher Award |ย 

Department of biological science, at King Faisal University, Saudi Arabia.

Prof. Dr. Fadia Mohamed Youssef Askar El Sherif is an esteemed plant physiologist and biotechnologist, specializing in stress physiology, micropropagation, and plant genetic engineering. With a career spanning three decades, she has made significant contributions to plant biotechnology, medicinal plant research, and sustainable agriculture. She has held academic positions at Suez Canal University, Egypt, and King Faisal University, Saudi Arabia, fostering international collaborations and mentoring the next generation of researchers.

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Education ๐ŸŽ“

Ph.D. in Floriculture & Biotechnology (2009) โ€“ Suez Canal University, Egypt & University of Hamburg, Germany

M.Sc. in Floriculture (1997) โ€“ Suez Canal University, Egypt

B.Sc. in Agricultural Science (1993) โ€“ Suez Canal University, Egypt

Professional Experience ๐Ÿ’ผ

Professor, Department of Horticulture โ€“ Suez Canal University, Egypt (Since 2019)

Assistant Professor, Department of Biological Sciences โ€“ King Faisal University, Saudi Arabia (2013โ€“2022)

Visiting Scholar โ€“ Institute of Forest Genetics, University of Hamburg, Germany (2006โ€“2008)

Associate Professor, Horticulture Department โ€“ Suez Canal University, Egypt (2014โ€“2019)

Assistant Lecturer & Demonstrator โ€“ Suez Canal University, Egypt (1993โ€“2014)

Throughout her career, she has taught undergraduate and postgraduate courses and supervised multiple research projects in plant physiology, biotechnology, and horticulture.

Awards & Honors ๐Ÿ†

International Publishing Award (2013โ€“2023) โ€“ Suez Canal University, Egypt

Recognized for outstanding research contributions in plant biotechnology

Numerous supervised M.Sc. and Ph.D. students, shaping the future of agricultural biotechnology

Top Noted Publications ๐Ÿ“š

Effect of gamma irradiation on enhancement of some economic traits and molecular changes in Hibiscus sabdariffa L. โ€“ F. El Sherif, S. Khattab, E. Ghoname, N. Salem, K. Radwan โ€“ 89 citations โ€“ Life Science Journal โ€“ 2011

Foliar application of Moringa oleifera leaves extract altered stress-responsive gene expression and enhanced bioactive compounds composition in Ocimum basilicum โ€“ M.A. Alkuwayti, F. El-Sherif, Y.K. Yap, S. Khattab โ€“ 50 citations โ€“ South African Journal of Botany โ€“ 2020

Silybum marianum L. plants under abiotic elicitation: Silybin content and overexpression of chalcone synthase genes โ€“ H.A.S. El-Garhy, S. Khattab, M.M.A. Moustafa, R. Abou Ali, A.Z.A. Azeiz, F. El-Sherif โ€“ 45 citations โ€“ Plant Physiology and Biochemistry โ€“ 2016

Aloe vera leaf extract as a potential growth enhancer for Populus trees grown under in vitro conditions โ€“ F. El Sherif โ€“ 42 citations โ€“ American Journal of Plant Biology โ€“ 2017

Effect of manure and bio-fertilizers on growth, yield, silymarin content, and protein expression profile of Silybum marianum โ€“ E.G. Ismail, W.W. Mohamed, S. Khattab, F.E. Sherif โ€“ 42 citations โ€“ International Journal of Medicinal and Aromatic Plants โ€“ 2013

Conclusion

Dr. El Sherif is a highly qualified researcher with a strong publication record, international exposure, and leadership in plant biotechnology and physiology. She is a suitable candidate for the Research for Women Researcher Award, especially if she can highlight her research impact, citations, and leadership roles in more detail.

Dr Im Joung La | Foods and Materials | Best Researcher Award |

Dr. Im Joung La | Foods and Materials | Best Researcher Award |ย 

R&D Center, at AtomyOrot Co., Ltd., South Korea.

Dr. Im-joung La is a distinguished expert in food safety, quality management, and regulatory policies, with a Doctor of Science from Hanyang University. He serves as an Adjunct Professor at Hanyang University and holds key leadership roles, including Director of Lotte Group Safety Center, Vice President of the Korean Society of Food Science and Nutrition, and Division Chairman of the Food Industry Association. As a Committee Member of the Ministry of Food and Drug Safety and an Advisory Committee Member for the National Agricultural Products Quality Management Service, he actively contributes to national food safety regulations. With expertise in ISO 22000 / 9001 standards, he is an international Lead Auditor and a driving force in shaping global food industry policies. As Chief Director of AtomyOrot R&D Center, he leads research on functional foods and innovative food technologies. His extensive contributions bridge academia, industry, and policymaking, making him a key figure in advancing food safety and nutrition science.

Professional Profile

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Education ๐ŸŽ“

Dr. Im-joung La earned a Doctor of Science degree from Hanyang University, a prestigious institution known for its contributions to science and technology. With a strong academic foundation, Dr. La has continued to shape the field of food science and safety through research, teaching, and industry leadership.

Professional Experience ๐Ÿ’ผ

With a dynamic career bridging academia, industry, and policymaking, Dr. La serves as an Adjunct Professor at Hanyang University while holding key leadership roles. He is the Director of Lotte Group Safety Center, Division Chairman of the Food Industry Association, and Vice President of the Korean Society of Food Science and Nutrition. Additionally, he contributes to national food safety as a Committee Member of the Ministry of Food and Drug Safety and an Advisory Committee Member for the National Agricultural Products Quality Management Service. He also leads research and innovation as the Chief Director of AtomyOrot R&D Center.

Awards & Honors ๐Ÿ†

Dr. La has been recognized for his outstanding contributions to food science, safety, and regulatory compliance. His leadership in national and international food safety organizations has earned him prestigious appointments, reinforcing his influence in shaping global food policies.

Top Noted Publications ๐Ÿ“š

Title: Ultra-sensitive detection of kanamycin for food safety using a reduced graphene oxide-based fluorescent aptasensor
Authors: N. Ha (Na-reum), I. Jung (In-pil), I. La (Im-joung), H. Jung (Hosup), M. Yoon (MoonYeong)
Citations: 86
Index: Scientific Reports
Year of Publication: 2017

Conclusion

Dr. Im-joung La is a strong contender for the award due to their leadership in food safety, policy contributions, and industry-driven research. However, enhancing the visibility of their academic research output, patents, and international collaborations could further solidify their standing for research-based awards.

Prof Cheng Sun | Optics | Best Researcher Award |

Prof. Cheng Sun | Optics | Best Researcher Award |ย 

Dean, at Dalian University, China.

Prof. Cheng Sun is a distinguished physicist specializing in optical materials, plasmonics, and nanostructures, with extensive research experience in nuclear magnetic resonance (NMR) and catalysis. As a Professor at the Physical Science and Technical College, Dalian University, China, he has significantly contributed to the fields of nano-optics, thermoelectric materials, and quantum dynamics. With a strong international background, having worked in China, the UK, and the USA, Prof. Sun continues to push the boundaries of scientific discovery, bridging fundamental physics with real-world applications.

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Education ๐ŸŽ“

Ph.D. in Physics (2009) โ€“ University of Nottingham, UK

B.Sc. in Physics (2004) โ€“ Fudan University, China

Professional Experience ๐Ÿ’ผ

Professor (2012โ€“Present) โ€“ Dalian University, China

Associate Professor (2011โ€“2012) โ€“ Dalian Institute of Chemical Physics, Chinese Academy of Sciences

Research Assistant (2009โ€“2011) โ€“ Brooklyn College, The City University of New York, USA

Researcher (2004โ€“2006) โ€“ Fudan University, China (Applied Surface Physics National Key Laboratory)

Research Interests ๐ŸŒ

Prof. Sunโ€™s research revolves around optical and plasmonic nanostructures, thermoelectric materials, and NMR-based studies of nanocatalysis and protein hydration dynamics. His recent work explores broadband emission materials for white LEDs, graphene-based plasmonics, and metallic nanostructures, contributing to advancements in photonics, energy-efficient devices, and quantum materials.

Awards & Honors ๐Ÿ†

Invited Speaker at BCEIA Conference, Beijing, China (2011)

Presenter at leading international conferences, including the Experimental Nuclear Magnetic Resonance Conference (ENC) and the Rocky Mountain Conference on Analytical Chemistry

Recognized for pioneering contributions in optical material research and nano-interface catalysis

Top Noted Publications ๐Ÿ“š

Ultra broadband emission toward white LED based on dysprosium double perovskites CsxRb3-xDyCl6-xIx
Xue Bai, Zongqing Jin, Guanjun Xiao, Bo Zou, Qingqin Ge, Nannan Shi, Liwei Jiang, Cheng Sun, Tao Xiong, Yinan Zhang
Chemical Engineering Journal, 2025 | DOI: 10.1016/j.cej.2025.161517

Theoretical Design of Asymmetric/Symmetric Nanodisk Arrays Deposited on GaAs Film for Plasmonic Modulation and Sensing
Cheng Sun, Xue Yang, Xinyu Li, Shuwen Chu
Materials Science, 2025 | DOI: 10.5755/j02.ms.38239

On the Plasmonic Properties of a Graphene Nanoribbon and Noble Metal Composite Array
Qinxiu Zhang, Yue Zhang, Ting Wang, Tao Xiong, Wei Wang, Cheng Sun
Physica E: Low-dimensional Systems and Nanostructures, 2024 | DOI: 10.1016/j.physe.2024.115928

Near-Infrared Spectrum Characteristics of Micro-Nano Material-Based Diffraction Optical Devices
Zhao Jin, Qiyao Xiao, Yue Zhang, Cheng Sun, Yongbo Deng, Chengmiao Wang, Qiang Fu, Yingchao Li, Huilin Jiang
Materials Science, 2024 | DOI: 10.5755/j02.ms.35151

Effect of Synthesis Factors on Microstructure and Thermoelectric Properties of FeTe2 Prepared by Solid-State Reaction
Lang Zhang, Bingke Qin, Cheng Sun, Yonghua Ji, Dan Zhao
Materials, 2023 | DOI: 10.3390/ma16227170

Conclusion

Cheng Sun has a strong case for the Best Researcher Award based on his research output, international collaborations, and contributions to optical and plasmonic materials. To further strengthen his chances, leadership in large projects, awards, and industry collaborations would be beneficial. If his research impact (citations, patents, or societal contributions) is significant, he would be a strong contender.

Mr Seungchan Moon | Nanotechnology | Best Research Article Award |

Mr. Seungchan Moon | Nanotechnology | Best Research Article Award |ย 

Ph.D student, at Hanyang University, South Korea.

Seungchan Moon is a dedicated researcher in Nanoscale Semiconductor Engineering, currently pursuing a Unified M.S. and Ph.D. at Hanyang Universityโ€™s Nano Process & Device Laboratory in collaboration with SK Hynix. His research focuses on actinic metrology, coherent diffractive imaging (CDI), and through-pellicle imaging, contributing to advancements in extreme ultraviolet (EUV) lithography for next-generation semiconductor manufacturing. He has published multiple peer-reviewed articles in Applied Physics Express, Applied Optics, and Photonics, addressing key challenges in EUV mask and pellicle technology. Recognized for his impactful work, he received the Best Poster Award (First Place) at the EUVL Workshop 2022 and the Best Paper Award at KISM 2022. His expertise bridges academic innovation with industry applications, driving progress in semiconductor metrology and fabrication technologies.

Professional Profile

Scopus

Education ๐ŸŽ“

Seungchan Moon is currently pursuing a Unified M.S. and Ph.D. course at Hanyang University in the Nano Process & Device Laboratory, specializing in Nanoscale Semiconductor Engineering. He is also a certificate student of SK Hynix, demonstrating strong industry-academic collaboration. He earned his Bachelorโ€™s degree in Materials Science and Engineering from Hanyang University in 2021.

Professional Experience ๐Ÿ’ผ

Alongside his academic research, Seungchan is closely associated with SK Hynix, a leading semiconductor company, as a certificate student. This collaboration enhances his expertise in practical semiconductor applications and provides valuable industry exposure in nano-scale device fabrication and metrology.

Research Interests ๐ŸŒ

His research primarily revolves around actinic metrology of EUV masks and pellicles, with a strong emphasis on improving coherent diffractive imaging (CDI) methods and through-pellicle imaging techniques. His work contributes significantly to advancing extreme ultraviolet (EUV) lithography, a crucial technology in next-generation semiconductor manufacturing.

Awards & Honors ๐Ÿ†

Seungchan has received notable recognition for his contributions to the field. In 2022, he won the Best Poster Award (First Place) at the EUVL Workshop & Supplier Showcase for his research on pellicle reflectivity. The same year, he also received the Best Paper Award at the Korean International Semiconductor Conference on Manufacturing Technology (KISM 2022), highlighting the impact of his work in the semiconductor industry.

Top Noted Publications ๐Ÿ“š

Seungchan has authored multiple peer-reviewed papers in high-impact journals, focusing on EUV lithography and pellicle imaging. His key publications include:

Actinic Patterned Mask Imaging Using Extreme Ultraviolet Ptychography Microscope with High Harmonic Generation Source (Applied Physics Express, 2022).

Effect of Wrinkles on Extreme Ultraviolet Pellicle Reflectivity and Local Critical Dimension (Applied Optics, 2022).

Extreme Ultraviolet Pellicle Wrinkles Influence on Mask 3D Effects: Experimental Demonstration (Applied Optics, 2023).

Impact of Sn Particle-Induced Mask Diffraction on EUV Lithography Performance Across Different Pattern Types (Photonics, 2025).

His research has provided valuable insights into pellicle defect analysis, imaging techniques, and diffraction effects, making significant contributions to advancing semiconductor manufacturing technologies.

Seungchan Moon continues to push the boundaries of nanoscale semiconductor research, with a vision to enhance the precision and efficiency of next-generation semiconductor fabrication.

Conclusion

Seungchan Moon is a strong candidate for the Best Research Article Award, given his impactful research in EUV lithography, peer-reviewed publications, and prestigious conference awards. Enhancing international collaborations and publishing in higher-impact journals could further strengthen his candidacy.