HMIMSA Younes | Application of Artificial Intelligence in Agriculture | Best Researcher Award

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Prof. HMIMSA Younes | Application of Artificial Intelligence in Agriculture | Best Researcher Award

Abdelmalek Essaadi University | Morocco

Professor Younes Hmimsa is a distinguished Moroccan academic and researcher serving as a Full Professor at the Polydisciplinary Faculty of Larache, Abdelmalek Essaadi University. His academic background spans animal biology, plant biotechnology, ecology, and wealth management, reflecting a multidisciplinary approach to environmental and agricultural sciences. With advanced degrees from the University of Tetouan and the University of Alicante, he has developed extensive expertise in plant biology, agroecology, and biodiversity conservation. Professionally, he has been a key figure in multiple international research programs such as PRIMA, ARIMNET, and EVOlea, focusing on agrobiodiversity, climate resilience, and sustainable agricultural systems. His research interests include plant phenology, genetic diversity, agroecosystem sustainability, and the socio-ecological dynamics of traditional farming systems in Mediterranean regions. He possesses strong research skills in agromorphological characterization, environmental data modeling, and interdisciplinary collaboration. Professor Hmimsa has coordinated numerous international conferences, seminars, and research networks that bridge scientific innovation and rural development. His scholarly achievements are complemented by prestigious roles as a reviewer, evaluator, and collaborator with global research institutions. A recipient of several academic honors and author of influential publications, he continues to advance sustainable agricultural practices and ecological research in Morocco and beyond, inspiring both scientific and community engagement.

Profile: ORCID

Featured Publications

Olubunmi Kayode AYANWOYE | Generative Artificial Intelligence | Best Researcher Award

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Dr. Olubunmi Kayode AYANWOYE | Generative Artificial Intelligence| Best Researcher Award

Federal University Oye-Ekiti | Nigeria

Dr. Olubunmi Kayode Ayanwoye is a distinguished Nigerian scholar and educator whose academic and professional pursuits are rooted in mathematics education, pedagogy, and curriculum innovation. He holds advanced degrees in mathematics education from the University of Ibadan and the University of Ado-Ekiti, complemented by a diploma in computer applications, reflecting his strong interdisciplinary foundation. His career spans teaching and lecturing roles at leading Nigerian institutions, including the Oyo State Teaching Service Commission, Emmanuel Alayande College of Education, and the Federal University Oye-Ekiti, where he currently serves as a lecturer. Dr. Ayanwoye’s research interests encompass general education, mathematics pedagogy, gender issues in learning, curriculum design, and research analytics, with a particular focus on integrating technology and artificial intelligence in education. His research skills include meta-analysis, systematic review, statistical interpretation, and instructional design. A regular participant and presenter at national and international academic conferences, he contributes to advancing educational methodologies and digital readiness in teacher education. Throughout his career, Dr. Ayanwoye has received recognition for his academic excellence, leadership, and commitment to innovative teaching practices. Dedicated to fostering critical thinking and inclusivity in education, he continues to inspire future educators through impactful research, mentorship, and a steadfast dedication to academic and professional excellence.

Profile: ORCID

Featured Publications

Ayanwoye, O. K. (2025). Aims and objectives of teaching mathematics as a school subject. In The Methodology of Science Teaching.

Falebita, O. S., Abah, J. A., Asanre, A. A., Abiodun, T. O., Ayanwale, M. A., & Ayanwoye, O. K. (2025, October). Determinants of chatbot brand trust in the adoption of generative artificial intelligence in higher education. Education Sciences, 15(10), Article 1389.

Ayanwoye, O. K. (2025, October 3). Influence of artificial intelligence tool perceptions on mathematics undergraduates’ academic engagement: Role of attitudes and usage intentions. International Journal of Didactic Mathematics in Distance Education, 2(2), 207–224.

Ayanwoye, O. K. (2025, September 15). Assessment of media capture and ethical challenges in reporting corruption in Nigeria. Journal of African Films and Diaspora Studies (JAFDIS), 8(3).

Alina Diana Zamfir | Brain Science | Best Researcher Award

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Prof. Dr. Alina Diana Zamfir | Brain Science | Best Researcher Award

National Institute for R&D in Electrochemistry and Condensed Matter | Romania

Dr. Alina Diana Zamfir is a distinguished Romanian physicist and professor known for her pioneering research in biophysics, mass spectrometry, and biomolecular analysis. She earned her academic degrees in physics from leading Romanian universities, including a Ph.D. in Physics and two habilitations in Biophysics and Physics from prestigious institutions in Romania and Germany. Currently serving as a Senior Scientific Researcher at the National Institute for Research and Development in Electrochemistry and Condensed Matter and as a Professor at Aurel Vlaicu University of Arad, she also mentors doctoral candidates at the West University of Timisoara. Her professional journey includes research and teaching appointments in Germany and collaborations with international universities and corporations. Dr. Zamfir’s research interests focus on mass spectrometry-based proteomics, glycomics, and microfluidics for the analysis of complex biological systems. She is highly skilled in advanced spectrometric analysis, microfluidic platform development, and molecular characterization of biomolecules. A recipient of numerous awards, including the Romanian Academy Prize, the Elsevier Top Cited Article Award, and the Wiley Award, she is also President of the Romanian Society for Mass Spectrometry. Her extensive contributions to molecular biophysics and analytical chemistry continue to advance biomedical innovation and interdisciplinary scientific excellence worldwide.

Profile: Google scholar

Featured Publications

Natalia N. Kudryavtseva | Neurobiology | Best Researcher Award

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Prof. Dr. Natalia N. Kudryavtseva | Neurobiology | Best Researcher Award

Institute of Cytology and Genetics of SB RAS | Russia

Professor Natalia N. Kudryavtseva is a highly distinguished neuroscientist and leading researcher at the I.P. Pavlov Institute of Physiology RAS in Saint Petersburg and the Institute of Cytology and Genetics SB RAS in Novosibirsk, with extensive academic and research contributions in behavioral pharmacology, neurogenetics, and biological psychiatry. She completed her education at Novosibirsk State University in physiology and advanced to hold key positions as junior, senior, and leading researcher, later becoming head of the Neurogenetics of Social Behaviour Sector and the Neuropathology Modelling Laboratory. Her professional journey includes visiting research at Cold Spring Harbor Laboratory in the United States, along with teaching as professor of physiology at Novosibirsk State University. Her research interests span behavioral genetics, social biology, psychopharmacology, transcriptomic analysis, and modelling of psychoemotional disorders, particularly through the sensory contact model she developed, widely applied in the study of chronic social conflict and neuropsychiatric mechanisms. She is skilled in neurogenomics, experimental neurobiology, and psychopharmacological correction, with more than one hundred eighty publications and several books. She is an active member of international research societies and has collaborated with institutions across Europe and the USA. Recognized for her pioneering contributions, with a citation index exceeding four thousand and an h-index of thirty-seven, she has received numerous honors for advancing knowledge on the neurobiology of aggression and psychoemotional disorders, making her a truly deserving candidate for international recognition.

Profile: ORCID

Featured Publications

Laura Piccardi | Cognitive Neuroscience | Women Researcher Award

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Prof. Dr. Laura Piccardi | Cognitive Neuroscience | Women Researcher Award

Sapienza University of Rome | Italy

Laura Piccardi is a distinguished scholar and full professor in the Department of Psychology at Sapienza University of Rome, Italy. Renowned for her expertise in spatial cognition, neuropsychology, and individual differences, she has made significant contributions to understanding how humans navigate and process spatial information across the lifespan. Her academic journey has been marked by prestigious positions, extensive research output, and influential collaborations with leading institutions worldwide, including Harvard Medical School, Karolinska Institutet, and the National University of Singapore. With over two hundred peer-reviewed publications, she is recognized for integrating experimental and clinical approaches to explore cognitive decline, hemineglect, and navigational memory. Beyond research, she is a dedicated educator, mentoring undergraduate, graduate, and doctoral students in psychology and cognitive neuroscience. Her work bridges theoretical insight with applied relevance, making her a leading figure in cognitive neuroscience and a sought-after expert in multidisciplinary research on spatial and cognitive processes.

Profile

Google scholar

Education

Laura Piccardi pursued her academic formation at Sapienza University of Rome, where she earned her doctoral degree in cognitive neuroscience. Following her doctoral studies, she engaged in advanced postdoctoral research at the prestigious Collège de France and the Hospital Pitié-Salpêtrière in Paris, working under world-leading experts in spatial navigation and neuropsychology. She began her academic career as a researcher in the Life, Health, and Environmental Science Department at the University of L’Aquila, where she deepened her focus on spatial memory and cognitive differences. Her progression from researcher to associate professor reflected her outstanding contributions to the field, leading to her eventual appointment as full professor at Sapienza University of Rome. Throughout her academic training, she complemented her formal education with international collaborations, advanced methodological training, and interdisciplinary research experiences, shaping her into a versatile scholar with strong expertise at the intersection of cognitive neuroscience, clinical neuropsychology, and spatial cognition research

Experience

Laura Piccardi’s professional experience spans research, teaching, and clinical practice. She has held faculty positions at the University of L’Aquila and Sapienza University of Rome, where she teaches courses in general psychology, cognitive neuropsychology, spatial cognition, and learning disabilities. Her research has been supported by competitive grants, leading projects on spatial cognition, navigational memory, emotional-cognitive variables, and eco-sustainable decision-making. In addition to academic roles, she has collaborated extensively with rehabilitation and medical institutes, such as the IRCCS Fondazione Santa Lucia and San Raffaele facilities, integrating clinical work with cognitive neuroscience research. Internationally, she has engaged in partnerships with institutions in Singapore, Spain, Sweden, France, and the United States, expanding her research impact across cultural and methodological contexts. Her experience reflects a balance between laboratory-based research, applied clinical studies, and educational leadership, establishing her as a versatile academic committed to advancing both scientific knowledge and practical applications in psychology

Awards and Honors

Awards and Honors (150 words)
Laura Piccardi’s work has earned recognition through prestigious awards, editorial appointments, and invitations to speak at international conferences. Early in her career, she received the Young Researcher Award from Sapienza University of Rome, highlighting her potential for impactful contributions to cognitive neuroscience. She serves as an associate editor for prominent journals, including Frontiers in Cognitive Neuroscience, and as a guest editor for thematic issues in learning and memory. Her reputation in the field is further underscored by her role as a symposium organizer, invited speaker, and scientific reviewer for leading academic outlets. Her research collaborations with globally renowned universities and medical centers also reflect her standing in the international scientific community. These honors, combined with sustained funding for innovative projects, demonstrate her influence in shaping current discourse in spatial cognition, neuropsychology, and cognitive aging, while also inspiring a new generation of researchers through mentorship and cross-disciplinary engagement.

Research Focus

Laura Piccardi’s research centers on spatial cognition, exploring how individuals perceive, process, and remember spatial information, and how these abilities vary across populations. She investigates individual differences in spatial abilities, the cognitive mechanisms underlying navigation, and the neural bases of these processes in both healthy and clinical groups. Her work encompasses neuropsychological conditions such as hemineglect, multiple sclerosis, and cognitive decline, aiming to identify cognitive markers that could inform rehabilitation strategies. She has developed innovative experimental paradigms using virtual reality to study spatial memory, navigational skills, and the role of emotional and cognitive factors in decision-making. Additionally, her research addresses how environmental, social, and psychological factors influence spatial abilities, particularly in aging populations. By integrating clinical, experimental, and technological approaches, her work contributes to theoretical models of spatial cognition while offering practical implications for education, clinical rehabilitation, and human-environment interaction design

 

Publications

 

Title: Neural bases of personal and extrapersonal neglect in humans
Year: 2007
Citation: 403

Title: Development of neuropsychiatric symptoms in poststroke patients: a cross‐sectional study
Year: 2004
Citation: 321

Title: Gender effects in young road users on road safety attitudes, behaviors and risk perception
Year: 2016
Citation: 314

Title: Where do bright ideas occur in our brain? Meta-analytic evidence from neuroimaging studies of domain-specific creativity
Year: 2015
Citation: 311

Title: The meditative mind: A comprehensive meta‐analysis of MRI studies
Year: 2015
Citation: 278

Title: Walking in the Corsi test: which type of memory do you need?
Year: 2008
Citation: 195

Title: Frontal EEG asymmetry of mood: a mini-review
Year: 2017
Citation: 165

Title: Cognitive reserve in healthy aging and Alzheimer’s disease: a meta-analysis of fMRI studies
Year: 2016
Citation: 133

Conclusion

Laura Piccardi stands out as a leading figure in spatial cognition and neuropsychology, seamlessly integrating research, teaching, and clinical expertise. Her contributions span fundamental theory, experimental innovation, and applied practice, making her work relevant to both scientific and societal challenges. Through sustained international collaborations, influential publications, and impactful mentorship, she has advanced understanding of spatial memory, cognitive decline, and navigational processes. Her ability to bridge interdisciplinary perspectives ensures her research remains at the forefront of cognitive neuroscience. With a career defined by intellectual rigor, creativity, and collaborative spirit, she continues to shape the future of spatial cognition research worldwide.

Zhengyi Yao | Artificial Intelligence | Best Researcher Award

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Mr. Zhengyi Yao | Artificial Intelligence | Best Researcher Award

Sichuan Normal University |China

Zhengyi Yao, from Neijiang, Sichuan, China, is a dedicated researcher affiliated with Sichuan Normal University, holding both bachelor’s and master’s degrees in Computer Science and Technology. His work primarily focuses on the Internet of Things (IoT), cybersecurity, cryptography, and artificial intelligence (AI). With a growing presence in academic publishing, he has contributed to several high-impact journals indexed in SCI and Scopus. Mr. Yao has demonstrated a strong commitment to advancing secure, intelligent systems, particularly in logistics and industrial applications. His interdisciplinary approach blends theoretical research with practical implementation, contributing to emerging technologies such as blockchain-enabled IIoT and quantum cryptography. In addition to publishing five journal articles and securing seven patents, he actively contributes to the field through applied innovations aimed at enhancing privacy protection and data security. As a passionate technologist, Mr. Yao is continually exploring transformative solutions in smart systems, emphasizing the ethical and secure integration of AI in modern digital infrastructure.

Profile

Education

Zhengyi Yao completed his academic training at Sichuan Normal University, earning both his bachelor’s and master’s degrees in Computer Science and Technology. His undergraduate studies provided a solid foundation in software development, algorithms, and system architecture, while his postgraduate work emphasized advanced topics such as artificial intelligence, cybersecurity, and cryptographic methods. During his graduate years, he engaged deeply with interdisciplinary studies, aligning computer science with real-world applications in logistics, IoT, and secure communication systems. His academic performance has been marked by consistent excellence and a proactive engagement in research-driven projects. While enrolled, he also explored the practical aspects of emerging technologies, developing tools and frameworks to support digital transformation in industrial systems. His education has been instrumental in shaping his scientific outlook, fostering a commitment to ethical innovation and robust digital security. These academic experiences continue to inform his contributions to academic research and patent development in the tech and security domains.

Experience

Zhengyi Yao has gained substantial experience as a researcher and innovator in the fields of IoT, cybersecurity, cryptography, and AI. While at Sichuan Normal University, he actively participated in multiple collaborative research efforts that examined the integration of blockchain with IIoT systems and privacy-focused AI applications in logistics. Despite limited consultancy and editorial appointments, his practical contributions are demonstrated through five SCI/Scopus-indexed journal publications and seven patents. He has co-authored research tackling challenges in smart logistics security, 5G-based blockchain sensors, and quantum cryptography, showcasing his capability to bridge theoretical and applied computing. Through independent and team-driven efforts, Mr. Yao has contributed to designing secure systems that support data integrity and user privacy in dynamic industrial environments. His hands-on research experience, supported by solid academic training, underpins his drive to innovate in secure computing technologies and has positioned him as a promising young professional in China’s growing digital research landscape

Research Focus

Zhengyi Yao’s research centers on the intersection of emerging technologies like IoT, blockchain, AI, and cybersecurity, with a strong focus on intelligent logistics systems. He explores secure device communication, privacy-preserving data protocols, and cryptographic models for industrial systems. His work on blockchain-enabled IIoT platforms aims to fortify command operations against cyber threats, while his investigations into quantum cryptography are pushing the boundaries of next-generation digital security. One of his key contributions is the development of 5G-based universal blockchain smart sensors, combining speed, scalability, and trust for dynamic logistics applications. His research also examines how AI can be ethically and securely integrated into cyber-physical environments to optimize data flow, user privacy, and system integrity. Through published works and patented innovations, he is shaping solutions to critical security challenges facing smart logistics and industrial platforms. His forward-thinking approach promotes safer, more resilient infrastructures in an increasingly connected digital world.

Publications

Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System
Year: 2024
Citation:2

Blockchain-enabled device command operation security for Industrial Internet of Things
Year: 2023
Citation:12

5G-BSS: 5G-Based Universal Blockchain Smart Sensors
Year: 2022
Citation:2

Conclusion

Zhengyi Yao exemplifies the qualities of a dedicated and innovative researcher, with notable contributions to smart logistics, cybersecurity, and cryptographic technologies. His blend of academic rigor and applied invention positions him as a rising leader in secure digital systems.

Kihwan Nam | Artificial Intelligence | Best Faculty Award

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Prof. Kihwan Nam | Artificial Intelligence | Best Faculty Award

Dr. Kihwan Nam is an Assistant Professor in the Department of Management of Technology at Korea University and the founder of Aimtory, a high-technology AI company. With a unique blend of academic expertise and entrepreneurial insight, he specializes in Artificial Intelligence (AI), particularly Generative AI, Explainable AI, and Digital Transformation. He earned his Ph.D. in Information Systems from KAIST and holds degrees in Industrial Engineering and Statistics from Korea University and Yonsei University, respectively. Dr. Nam has an extensive research record, with publications in top-tier journals such as Journal of Marketing Research, Decision Support Systems, and Knowledge-Based Systems. His professional journey includes leadership roles in startups and significant AI industry contributions. He is passionate about bridging the gap between academia and industry through impactful, data-driven solutions that transform business strategies, smart factories, and healthcare systems. Dr. Nam is a leading figure in the fusion of cutting-edge AI technologies with business innovation.

Profile

🎓 Education

Dr. Kihwan Nam’s academic background spans statistics, engineering, and management. He holds a Ph.D. in Information Systems and Management Engineering from the prestigious KAIST College of Business, where he honed his expertise in AI-driven decision support and business analytics. Prior to his doctorate, he completed his M.S. in Industrial Engineering at Korea University, acquiring strong analytical and system optimization skills. His academic journey began with a B.A. in Statistics from Yonsei University, which laid a solid foundation in data analysis and quantitative modeling. This interdisciplinary academic training enables Dr. Nam to approach complex problems from technical, managerial, and data-driven perspectives. Throughout his studies, he cultivated a deep interest in predictive modeling, econometrics, and the integration of AI technologies in organizational contexts, which continues to shape his academic and industrial research today. His educational path reflects a consistent commitment to excellence and innovation across disciplines.

🧪 Experience

Dr. Nam has a dynamic career in both academia and industry. He currently serves as Assistant Professor in the Management of Technology at Korea University, following a faculty role in Management Information Systems at Dongguk University. In industry, he is the founder of Aimtory, a company focused on cutting-edge AI solutions, and previously led Basbai, an AI solution firm, as CEO. He also co-founded Sentience, reflecting his commitment to tech entrepreneurship. His dual roles have enabled him to conduct collaborative research with top-tier companies, implement AI in real-world applications, and train future innovators. Dr. Nam’s expertise extends across AI project development, big data analytics, and digital business transformation. His work in areas like smart factories, healthcare, and financial markets underscores his versatility. His diverse experience positions him as a thought leader at the intersection of research, innovation, and enterprise AI deployment.

🏅 Awards and Honors

Dr. Kihwan Nam has received numerous prestigious accolades for his impactful research and innovation. He was honored with the Best Paper Award from the Korea Intelligent Information System Society (2017) for his work on recommender systems in retail, and again in 2019 by the Information Systems Review Society for a field experiment in recommendation design. His deep learning-based financial distress prediction study was a Best Paper Nominee at the INFORMS Data Science Workshop (2020). In 2022, he secured top honors at the Korea Gas Corporation Big Data Competition and received an innovation award from the Startup Promotion Agency for the Big-Star Solution Platform. In 2023, he earned the Best Researcher Award at Dongguk University. These recognitions reflect his excellence in both theoretical contributions and practical applications of AI, reinforcing his role as a leading figure in AI-driven business analytics and intelligent systems research.

🔬 Research Focus

Dr. Nam’s research lies at the intersection of Artificial Intelligence, Business Analytics, and Digital Transformation. He specializes in Generative AI, Explainable AI, LLMs, NLP, and Computer Vision, aiming to drive intelligent decision-making in sectors like healthcare, finance, and manufacturing. His core research explores predictive analytics, recommender systems, robot advisory, and econometric modeling applied to real-world business and technological challenges. By incorporating econometrics with data mining and machine learning, he investigates user behavior, personalization strategies, and large-scale business optimization. His recent projects include stock and cryptocurrency prediction, smart factory optimization, and curated recommendation engines. He is also advancing research in digital transformation (DX) and blockchain-based token economies. Dr. Nam emphasizes bridging theory and application by applying AI innovations to actual business environments, often in collaboration with international enterprises. His work is deeply rooted in the integration of robust statistical methods with scalable, real-world AI systems.

✅ Conclusion

Dr. Kihwan Nam is a visionary academic and AI entrepreneur who merges deep theoretical knowledge with practical applications, shaping the future of AI-driven digital transformation across industries through innovative research, impactful teaching, and real-world solutions

Publications

Zhang Shuangqing | cognition | Best Researcher Award

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Prof. Zhang Shuangqing | cognition | Best Researcher Award

Dr. Shuang-Qing Zhang is a distinguished professor at the Department of Nutrition and Metabolism, National Institute for Nutrition and Health, Chinese CDC, Beijing. With a robust academic background in pharmaceutics and over two decades of research experience, he has significantly contributed to the fields of pharmacokinetics, nutritional toxicology, and functional food safety. His global expertise is enriched through international collaborations, notably as a visiting senior fellow at the National University of Singapore and postdoctoral research in the USA. Dr. Zhang is a prolific author with numerous high-impact publications and is a respected editor across 20+ international journals. His research interests span selenium and cognitive function, nanoparticle drug delivery, and health food safety evaluation. He actively serves on multiple scientific committees and advisory boards in China. Through his innovative projects and policy-informing studies, Dr. Zhang continues to shape national nutrition, drug safety, and public health discourse.

Profile

🎓 Education

Dr. Shuang-Qing Zhang holds a Ph.D. in Pharmaceutics from Peking University (2002–2005), after earning both B.S. and M.S. degrees in Pharmaceutics from Shenyang Pharmaceutical University (1995–2002). His academic foundation was solidified through extensive training in drug formulation, pharmacokinetics, and pharmaceutical sciences. He further advanced his expertise as a postdoctoral researcher at the University of Mississippi and Texas Tech University (2005–2008), focusing on drug metabolism and toxicokinetics. In 2013–2014, he served as a Visiting Senior Research Fellow at the Yong Loo Lin School of Medicine, National University of Singapore, where he explored translational nutrition research. This diverse and international academic training underpins his authoritative voice in pharmaceutics, toxicology, and nutrition science, and continues to inform his interdisciplinary research on health food safety, pharmacodynamics, and nanomedicine.

🧪 Experience

Dr. Zhang began his professional journey as a postdoctoral researcher in the United States before returning to China as an Associate Professor at the National Institutes for Food and Drug Control (2010–2012), specializing in drug metabolism and safety. Since 2012, he has been a Professor at the Chinese CDC’s Department of Nutrition and Metabolism, leading pioneering work in nutritional toxicology, pharmacokinetics, and health food evaluation. He serves as an expert evaluator for China’s major scientific funding and regulatory agencies, including the National Natural Science Foundation and Ministry of Science and Technology. Dr. Zhang also plays advisory roles in national health committees related to environmental mutagens and food safety. His dedication extends to editorial duties for over 20 journals and authorship of influential monographs in toxicology and nutriomics. He actively mentors scholars, oversees major research grants, and contributes to national policy development in food and drug safety.

🏅 Awards and Honors

Dr. Zhang has earned national recognition through prestigious funding awards such as the National Natural Science Foundation of China, Scientific Research Foundation for Returned Overseas Chinese Scholars, and multiple provincial and national-level research programs. His leadership in interdisciplinary projects addressing osteoporosis, cancer drug development, and nanoparticle therapeutics has positioned him as a trusted advisor to government science bodies. In 2015 and 2019, he was a recipient of the National Publication Foundation Support for his authored books on nutriomics and medical foods. As an editorial board member and guest editor for numerous international scientific journals, Dr. Zhang has been honored for his editorial leadership and influence in the scientific publishing community. He is a Distinguished Professor at the Chinese Academy of Agricultural Sciences and a standing or core member of several scientific committees across nutrition, toxicology, pharmacology, and food science sectors.

🔬 Research Focus

Dr. Zhang’s research encompasses nutritional pharmacology, drug metabolism, toxicokinetics, and functional food safety. He is internationally recognized for his studies on selenium’s role in cognitive function, publishing extensively on selenium intake, pharmacokinetics, and its neuroprotective effects in aging populations. His lab investigates nanoparticle-based drug delivery systems, targeting conditions like postmenopausal osteoporosis and cancer, with a focus on osteoblast-specific biomimetic designs. Another focal point is the pharmacodynamics of poly(L-glutamic acid)-paclitaxel conjugates, offering solutions to multi-drug resistance. Dr. Zhang also leads efforts in evaluating the safety and bioavailability of functional foods, including selenium-, zinc-, and chromium-enriched yeasts, using advanced techniques like UPLC-MS/MS and ion chromatography. His interdisciplinary research integrates toxicology, nutrition, and pharmaceutical science to bridge clinical translation and public health applications, while also informing regulatory policy on dietary intake thresholds and novel drug safety assessments in China and beyond.

✅ Conclusion

Dr. Shuang-Qing Zhang is a globally respected professor and scientist whose impactful research on nutritional pharmacology, selenium neurobiology, and nanomedicine has significantly advanced food and drug safety, earning him national recognition, global collaborations, and editorial leadership.

Publications

1. Bai YZ, Gao YX, Zhang SQ*. Identification of factors on blood selenium levels
in the US adults: a cross-sectional study. Nutrients, 2024, 16(11): e1734.
2. Bai YZ, Zhang SQ*. Selenium intake is an effective strategy for the
improvement of cognitive decline in low cognition older Americans. Int J Food
Sci Nutr. 2024, 75(7): 687-694. (* corresponding author)
3. Bai YZ, Li JM, Zhang SQ*. A nonlinear association between total selenium
intake and blood selenium concentration: an analysis based on the National
Health and Nutrition Examination Survey 2011-2018. J Food Sci. 2024,
89(12): 9955-9967. (* corresponding author)
4. Li JM, Bai YZ, Liu QY, Zhang SQ*. Mediation effect of oxidative stress on the
association between selenium intake and cognition in American adults.
Nutrients, 2024, 16(23): e4163. (* corresponding author)

 

 

 

 

Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

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Dr. Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

Dr. Chaima Aouiche is a dedicated academic and researcher in computer science with expertise in artificial intelligence, machine learning, cybersecurity, and bioinformatics. Born on October 24, 1990, in Tebessa, Algeria, she began her academic journey at Larbi Tebessi University and pursued her Ph.D. at Northwestern Polytechnical University (NPU), China. With international exposure, Dr. Aouiche has authored impactful publications on cancer gene prediction, data integration, and AI-based energy systems. She has collaborated across disciplines and countries, contributing to international conferences and peer-reviewed journals. Currently serving as a university teacher in Algeria, she is also a multilingual educator with teaching experience in China and Algeria. Dr. Aouiche combines technical knowledge with strong interpersonal skills and a passion for teaching, traveling, and community service, making her a well-rounded and globally competent scholar committed to innovation and education.

Profile

🎓 Education

Dr. Chaima Aouiche holds a strong academic foundation in computer science. She earned her Bachelor’s degree (2008–2011) and Master’s degree (2011–2013) in Computer Science from Larbi Tebessi University, Algeria, where she was recognized with the “Outstanding Student Award” in 2013. She expanded her horizons by studying the Chinese language for a year (2013–2014) at Northwestern Polytechnical University (NPU) in Xi’an, China. She then pursued a Ph.D. in Computer Science and Technology at NPU (2014–2021), focusing on stage-specific gene prediction, big data integration, and artificial intelligence. Throughout her academic journey, she acquired various global certifications, including Artificial Intelligence Foundations, Advanced Machine Learning, and Deep Learning, further enriching her qualifications. With multilingual skills in Arabic, French, English, and Chinese, she integrates global perspectives into her research and teaching. Her academic path reflects both depth and international breadth.

🧪 Experience

Dr. Chaima Aouiche has a diverse background in academia, industry, and cross-cultural teaching. She began her professional career in project management at MPE-MPI Investments, Tebessa (2011–2013), where she gained hands-on technical and administrative skills. In 2017, she taught English and Arabic in Xi’an, China, enhancing her intercultural communication and educational outreach. Currently, she works as a university teacher in Algeria, engaging in teaching, research supervision, and publication. Her training includes courses in project management, AI, and big data, complemented by technical expertise in programming (Python, Java, R), MATLAB, web technologies, and networking. Her ability to communicate in four languages (Arabic, French, English, Chinese) and her volunteering and mentoring activities reflect her commitment to holistic professional development. Dr. Aouiche’s career is defined by interdisciplinary collaboration, international exposure, and a passion for applied technological solutions, making her an asset in both academia and industry.

🏅 Awards and Honors

Dr. Aouiche’s academic and professional excellence has been recognized through multiple awards and certificates. She was awarded the Outstanding Student Award by Larbi Tebessi University in 2013. Her further accolades include numerous international certifications, such as the HSK 4 Chinese Proficiency Certificate, Artificial Intelligence and Big Data Training (Xi’an Jiaotong University), AI Foundations Masterclass (2023), and Advanced Machine Learning and Deep Learning Certificates (2024). She has also been recognized for her participation in global academic initiatives, such as the International Winter Camp (2017) and the Silk Road Engineering Science Program (2020). In addition to formal honors, her significant co-authorship on high-impact publications in BMC Bioinformatics, Frontiers in Genetics, and IEEE conferences speaks to her professional standing. These accolades collectively highlight her dedication to academic distinction, global engagement, and technological innovation.

🔬 Research Focus

Dr. Aouiche’s research intersects bioinformatics, artificial intelligence, machine learning, and cybersecurity. Her work has emphasized integrating multiple datasets to predict stage-specific cancer-related genes, mapping copy number variations, and modeling aberrant genomic events. She co-authored key studies published in BMC Bioinformatics, Frontiers in Genetics, and Quantitative Biology, which propose dynamic gene modules and data-driven cancer diagnostics. Recent work explores ensemble learning and AI approaches to detect cyberattacks using integrated datasets, showing a pivot toward cybersecurity and smart systems. Additionally, her research extends into renewable energy, specifically applying AI models to optimize photovoltaic systems and MPPT (Maximum Power Point Tracking) control. Her interdisciplinary approach bridges computational biology and engineering, reflecting her adaptability and innovative vision. Dr. Aouiche is particularly interested in applied AI that addresses real-world challenges in medicine, energy, and security, with a growing focus on industry 4.0 applications.

✅ Conclusion

Dr. Chaima Aouiche is an innovative computer scientist and academic whose international education, multidisciplinary research in AI and bioinformatics, commitment to teaching, and dynamic professional experiences make her a valuable contributor to global science and technology.

Publications

Mustaqeem Khan | Deep learning | Best Researcher Award

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Assist. Prof. Dr. Mustaqeem Khan | Deep learning | Best Researcher Award

Dr. Mustaqeem Khan is an accomplished researcher and educator specializing in speech and video signal processing, with a keen focus on emotion recognition using deep learning. Recognized among the Top 2% Scientists globally (2023–2024), he currently serves as an Assistant Professor at the United Arab Emirates University (UAEU). He earned his Ph.D. in Software Convergence from Sejong University, South Korea, and has authored over 40 high-impact publications in IEEE, Elsevier, Springer, and ACM. His contributions span multimodal systems, computer vision, and intelligent surveillance. With extensive experience in academia and research labs, Dr. Khan has also served as a lab coordinator, team leader, and guest editor. He actively collaborates internationally and mentors graduate students. His technical expertise includes TensorFlow, PyTorch, MATLAB, and computer vision frameworks, making him a key contributor to projects involving emotion detection, UAV surveillance, and medical imaging. He brings innovation, leadership, and academic excellence to his roles.

Profile

🎓 Education

Dr. Mustaqeem Khan holds a Ph.D. in Software Convergence (2022) from Sejong University, Seoul, South Korea, where he achieved an outstanding CGPA of 4.44/4.5 (98%) and earned the Outstanding Research Award. His doctoral dissertation focused on advanced studies in speech-based emotion recognition using deep learning. He completed his MS in Computer Science (2018) at Islamia College Peshawar with a Gold Medal, securing a CGPA of 3.94/4.00, and specialized in video-based human action recognition. His undergraduate degree (BSCS, 2015) was from the Institute of Business and Management Sciences, AUP Peshawar, where he developed a web-based design project. His academic background laid the foundation for his research in multimodal deep learning, AI, and signal processing. Throughout his education, Dr. Khan combined rigorous coursework with impactful research, leading to numerous publications and international recognition.

🧪 Experience

Dr. Mustaqeem Khan is currently serving as an Assistant Professor at UAEU (2025–Present), focusing on teaching, research, and student supervision. From 2022 to 2024, he was a Postdoctoral Fellow and Lab Coordinator at MBZUAI, where he led AI projects like drone surveillance and collaborated with the Technical Innovation Institute. At Sejong University (2019–2022), he worked as a Research Assistant and IT Lab Coordinator, guiding projects and mentoring graduate students in speech processing and energy informatics. Prior to this, he was a Lecturer (2018–2019) and Research Assistant (2016–2018) at Islamia College Peshawar, where he taught courses in programming, image processing, and AI. He also led computer vision and speech analytics projects. His international collaborations span institutes in South Korea, France, Saudi Arabia, and India, highlighting his global academic footprint. Dr. Khan is deeply involved in editorial roles and research supervision, embodying academic excellence and research leadership.

🏅 Awards and Honors

Dr. Mustaqeem Khan has been recognized as one of the Top 2% Scientists in the world (2023–2024), a testament to his research impact. He received the Outstanding Research Award from Sejong University in 2022 and was a Gold Medalist during his MS in Computer Science at Islamia College Peshawar (2016–2018). His work has earned multiple Best Paper Awards, including from the Korea Information Processing Society (2021) and Mathematics Journal (2020). He was also granted a fully funded Ph.D. scholarship at Sejong University. Dr. Khan has reviewed for over 35 reputed international journals and serves as an editor and guest editor for several leading publications, including MDPI, IEEE, and Springer journals. His patents in speech-based emotion recognition further validate his innovation. These accolades underscore his academic rigor, global recognition, and leadership in signal processing, AI, and intelligent systems.

🔬 Research Focus

Dr. Mustaqeem Khan’s research lies at the intersection of speech signal processing, multimodal emotion recognition, and computer vision. His Ph.D. work established a foundation for deep learning-based systems capable of understanding human emotions through speech. He has since expanded his research to include age/gender detection, action recognition, violence detection, and medical image analysis using AI. His deep learning models—ranging from CNNs to transformers—have been applied across audio, video, text, and sensor-based data. Dr. Khan is particularly interested in cross-modal transformer-based architectures, edge-AI surveillance systems, and emotion recognition for smart cities. He is also exploring medical AI for fetal, retinal, and Parkinson’s disease diagnostics. His work is published in top-tier venues like IEEE Transactions, Nature Scientific Reports, and ACM. Ongoing collaborations with MBZUAI, TII, and Korean institutions focus on real-time AI applications in UAV systems, smart healthcare, and metaverse content generation.

✅ Conclusion

Dr. Mustaqeem Khan is a globally recognized AI researcher and educator specializing in multimodal emotion recognition and computer vision, whose impactful contributions, international collaborations, and innovative deep learning applications continue to shape the fields of signal processing, smart surveillance, and healthcare technologies.

Publications