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

Chan-Uk Yeom | Artificial Intelligence | Best Researcher Award

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Dr. Chan-Uk Yeom | Artificial Intelligence | Best Researcher Award

Dr. Chan-Uk Yeom is a Research Professor at the Research Institute of IT, Chosun University, Korea. He specializes in time series data analysis using deep learning, granular computing, adaptive neuro-fuzzy inference systems, high-dimensional data clustering, and biosignal-based biometrics. Dr. Yeom has held several research positions, including at the Division of AI Convergence College at Chosun University and the Center of IT-BioConvergence System Agriculture at Chonnam National University. His work integrates artificial intelligence, fuzzy systems, and granular models for practical applications such as healthcare, biometrics, and energy efficiency. Dr. Yeom has published extensively in high-impact journals and conferences, holds multiple patents, and has received numerous awards for his innovative research contributions. He actively teaches courses related to AI healthcare applications and electronic engineering. His collaboration and problem-solving skills have been demonstrated through his involvement in competitive AI research challenges and global innovation camps.

Professional Profile

Education

Dr. Yeom completed his entire higher education at Chosun University, Korea. He earned his Ph.D. in Engineering (2022) from the Department of Control and Instrumentation Engineering, with a dissertation on fuzzy-based granular model design using hierarchical structures under the supervision of Prof. Keun-Chang Kwak. Prior to this, he obtained his M.S. in Engineering (2017), focusing on ELM predictors using TSK fuzzy rules and random clustering, and his B.S. in Engineering (2016) in Control and Instrumentation Robotics. His academic work laid a strong foundation in machine learning, granular computing, and fuzzy inference systems, which became the core of his future research trajectory. Throughout his education, Dr. Yeom demonstrated academic excellence, leading to multiple thesis awards, and developed expertise in AI-driven applications for healthcare, energy optimization, and biometrics.

Experience

Currently, Dr. Yeom serves as a Research Professor at the Research Institute of IT, Chosun University (since January 2025). Previously, he was a Research Professor at Chosun University’s Division of AI Convergence College (2023–2024) and a Postdoctoral Researcher at the Center of IT-BioConvergence System Agriculture, Chonnam National University (2022–2023). His extensive research spans user authentication technologies using multi-biosignals, brain-body interface development using AI multi-sensing, and optimization of solar-based thermal storage systems. In addition to research, Dr. Yeom has contributed to teaching undergraduate courses, including AI healthcare applications, electronic experiments, capstone design, and open-source software. He is also experienced in mentorship, student internships, and providing special employment lectures. His active participation in national and international research projects and conferences reflects his global engagement and multidisciplinary expertise in artificial intelligence, healthcare, biometrics, and advanced fuzzy models.

Research Interests

Dr. Yeom’s research integrates deep learning, granular computing, and adaptive neuro-fuzzy systems to solve complex problems in healthcare, biometrics, energy efficiency, and time series data analysis. His innovative work focuses on designing hierarchical fuzzy granular models, developing incremental granular models with particle swarm optimization, and applying AI-driven methods to biosignal-based biometric authentication. Dr. Yeom has developed cutting-edge models for predicting energy efficiency, vehicle fuel consumption, water purification processes, and disease classification from ECG signals. His contributions also extend to explainable AI, emotion recognition, and non-contact biosignal acquisition using 3D-CNN. In addition to academic publications, he has secured multiple patents related to ECG-based personal identification methods, intelligent prediction systems, and granular neural networks. His interdisciplinary approach combines theoretical modeling, real-world applications, and collaborative AI system design, advancing the fields of biomedical informatics, neuro-fuzzy computing, and healthcare convergence technologies.

Awards

Dr. Yeom has received numerous awards recognizing his academic excellence. He earned multiple Excellent Thesis Awards from prestigious conferences, including the International Conference on Next Generation Computing (ICNGC 2024), the Korea Institute of Information Technology (KIIT Autumn Conference 2024), and the Annual Conference of Korea Information Processing Society (ACK 2024). His doctoral work was recognized at Chosun University’s 2021 Graduate School Doctoral Degree Award Ceremony. He also received the Outstanding Presentation Paper Award at the 2020 Korean Smart Media Society Spring Conference and the Excellent Thesis Award at the Korea Information Processing Society 2018 Spring Conference. Earlier, his problem-solving capabilities were showcased as a finalist and top 9 team at the 2018 AI R&D Challenge and during participation in the 2016 Global Entrepreneurship Korea Camp. These honors highlight his sustained contributions to AI research, innovation, and applied technological development.

Conclusion

Dr. Chan-Uk Yeom is a dynamic researcher whose pioneering contributions to granular computing, neuro-fuzzy systems, and AI healthcare applications demonstrate his exceptional expertise, innovative thinking, and global scientific impact, making him a valuable contributor to the advancement of next-generation intelligent systems.

 Publications

  • A Design of CGK-Based Granular Model Using Hierarchical Structure

    Applied Sciences
    2022-03 | Journal article | Author
    DOI: 10.3390/app12063154
    CONTRIBUTORS: Chan-Uk Yeom; Keun-Chang Kwak

  • Adaptive Neuro-Fuzzy Inference System Predictor with an Incremental Tree Structure Based on a Context-Based Fuzzy Clustering Approach

    Applied Sciences
    2020-11 | Journal article | Author
    DOI: 10.3390/app10238495
    CONTRIBUTORS: Chan-Uk Yeom; Keun-Chang Kwak

Hong Wang | Memristors | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Dr. Hong Wang | Memristors | Best Researcher Award

Dr. Hong Wang is an accomplished Associate Professor at Hebei University, China, specializing in the field of neuromorphic electronics and low-dimensional ferroelectric materials. With a strong academic foundation in Physics, Integrated Circuits, and Optical Engineering, she has rapidly advanced in her field since earning her doctorate in 2021. Her research has led to 15 SCI-indexed publications as a first author, 8 patents, and over 1300 citations, underscoring her scientific impact. Dr. Wang actively collaborates with leading researchers from institutions such as the National University of Singapore, the Chinese Academy of Sciences, and Jilin University, achieving multiple experimental firsts in ferroelectricity and memristor behavior. Her innovative work bridges material science and cognitive computing, making significant contributions to optoelectronic sensing and neuromorphic systems. She is a member of several prestigious scientific societies, including the Chinese Optical Society. Dr. Wang’s dedication and research excellence make her a standout in cognitive science innovations.

Profile

🎓 Education

Dr. Hong Wang’s academic journey began with a Bachelor’s degree in Physics from Beihua University in 2016, which laid the foundation for her interdisciplinary approach to electronic materials. She then earned her Master’s degree in Integrated Circuits from Hebei University in 2018, further refining her expertise in semiconductor and electronic system design. Driven by a passion for optical and neuromorphic technologies, she pursued a PhD in Optical Engineering at Hebei University, completing it in 2021. Her doctoral research focused on the application of low-dimensional ferroelectric materials, contributing valuable insight into the behavior of memristive systems and their implications for artificial neural networks. This strong educational background has enabled her to explore innovative technologies in cognitive sensing and computing, bridging physics, materials science, and neural engineering. Her academic training not only exemplifies depth and rigor but also reflects a unique ability to translate theoretical research into applied cognitive systems.

🧪 Experience

Since 2021, Dr. Hong Wang has served as an Associate Professor at the School of Electronic Information and Engineering, Hebei University. In this role, she has taken on responsibilities spanning research leadership, mentoring graduate students, and leading interdisciplinary projects at the frontier of neuromorphic computing. She has directed five major research projects and collaborated internationally with scholars from Singapore, the Chinese Academy of Sciences, and Jilin University. Her work has provided novel insights into ferroelectricity in materials like SnSe and ReSe₂, and its application in memristive devices. In addition to her academic duties, Dr. Wang has contributed to two industry consultancy projects, aligning academic innovation with technological advancement. Her ability to bridge material innovation with neural system architecture distinguishes her as a versatile and future-oriented cognitive scientist. Her professional experience is marked by innovation, collaboration, and a commitment to enhancing cognitive systems through novel material applications.

🏅 Awards and Honors

While specific awards are not explicitly listed, Dr. Hong Wang’s impressive research metrics and collaborations signify her recognition within the global scientific community. With 15 SCI-indexed publications as first author and over 1365 citations, her work has garnered significant academic attention. Her successful collaborations with leading institutions like the National University of Singapore and the Chinese Academy of Sciences validate her contributions through groundbreaking experimental confirmations in ferroelectric behavior. Additionally, she holds 8 patents, reflecting the originality and applied potential of her research in neuromorphic computing. Her memberships in the Chinese Optical Society, the Chinese Institute of Electronics, and the Chinese Society for Optical Engineering indicate peer recognition and professional trust. These accomplishments, coupled with her high-impact research output, suggest that Dr. Wang is a strong contender for prestigious awards in cognitive science and materials research, and she is an exemplary nominee for the Best Researcher Award in Cognitive Science.

🔬 Research Focus

Dr. Hong Wang’s research centers on the design and application of neuromorphic memristors using low-dimensional ferroelectric materials. She explores how novel quantum dots and two-dimensional semiconductors, such as SnSe and ReSe₂, can mimic synaptic behavior for brain-like computing. A notable achievement includes her demonstration of robust dual-mode optical sensing using ferroelectric quantum dots, enabling both short-range and remote synapse-like responses, leading to high-accuracy image recognition systems. Her experimental work debunks traditional notions in electronics, such as the inertness of Pd electrodes, and provides novel insights into conductive filament formation. Her research has practical implications in artificial vision systems, optoelectronic sensing, and cognitive learning circuits. She is pioneering the application of ferroelectric polarization for neuromorphic behavior, with implications for smart sensing and adaptive cognitive devices. Through multidisciplinary collaborations and material innovations, Dr. Wang is shaping the future of neuromorphic computing, advancing cognitive technologies toward higher efficiency and closer brain mimicry.

✅ Conclusion

Dr. Hong Wang is an emerging leader in neuromorphic computing, merging ferroelectric material innovation with cognitive system design, making her a strong candidate for the Best Researcher Award.

Publications

Camille Blackman | Neurology and Gender-Affirming Care | Best Researcher Award

Published on by Cognitive Scientist Awards

Ms. Camille Blackman | Neurology and Gender-Affirming Care | Best Researcher Award

Camille Blackman is a dedicated medical student and multidisciplinary researcher with a passion for advancing gender-affirming healthcare and surgical education. Currently pursuing her MD at the University of Illinois College of Medicine, she brings a diverse background in anthropology, emergency medicine, and clinical research. Camille’s clinical experiences range from working as an EMT and physical therapist assistant to serving as a medical assistant in dermatology. Her current research at Johns Hopkins Center for Transgender and Gender Expansive Health centers on surgical outcomes, educational innovation, and health equity. She has published and presented nationally on topics like craniofacial surgery, sexual medicine, and transgender health. Outside of medicine, she is a nationally competitive runner and co-founder of Nameless Track Club. Camille also contributes to mentoring, leadership development, and medical education reform. Fluent in English and French, she exemplifies a well-rounded, compassionate, and forward-thinking physician in training.

Profile

🎓 Education

Camille Blackman’s academic journey reflects her interdisciplinary strength and commitment to health equity. She holds a Bachelor of Arts in Cultural Anthropology from Northwestern University (2012–2016), where she was also a Division 1 athlete. To transition into a medical career, she completed a post-baccalaureate pre-medical program at DePaul University (2016–2017). Camille is currently a Doctor of Medicine (MD) candidate at the University of Illinois College of Medicine, expected to graduate in 2026. Her medical education is enhanced by participation in the Surgical Exploration and Discovery (SEAD) program and leadership in multiple mentorship initiatives. Her academic excellence is evidenced by her involvement in high-impact research, her role as an M3 mentor, and her selection for honors like Academic All-Big Tens. Throughout her academic path, she has consistently demonstrated a commitment to inclusion, excellence in scholarship, and innovation in clinical care, especially for underserved populations such as the transgender and gender-diverse community.

🧪 Experience

Camille Blackman has built a robust portfolio of healthcare experience over nearly a decade. As a current research trainee at the Johns Hopkins Center for Transgender and Gender Expansive Health, she contributes to cutting-edge projects focused on surgical outcomes and health equity. Prior to that, she worked as a medical assistant at the Illinois Dermatology Institute (2020–2023), a physical therapist assistant at RUSH Rehabilitation (2018–2021), and an EMT at Medical Express Ambulance (2018–2020). Her roles have spanned both emergency and outpatient care, giving her a comprehensive clinical foundation. In addition to her hands-on experience, she’s actively involved in medical education as a mentor and peer leader at UICOM. Camille also volunteers in both clinical and community settings, including Face the Future Foundation and Ann & Robert H. Lurie Children’s Hospital. Her practical and research experience across diverse settings reinforces her trajectory as a future physician-leader in gender-affirming and reconstructive surgery.

🏅 Awards and Honors

Camille Blackman has been recognized for both academic and athletic excellence. She is a recipient of the prestigious Academic All-Big Ten award (2013–2016) and earned the John and Rita Canning and Dinn Brothers Student-Athlete Scholarships while at Northwestern University. In athletics, she is a Tracksmith-sponsored elite runner and has posted competitive times in major races, including a 2:48 marathon and top finishes in the Chicago 13.1 and Shamrock Shuffle. Her early accolades include the Western Massachusetts Athlete of the Year and the Tommy Cochary High School Mile Grant. As a medical student, she was selected for the Surgical Exploration and Discovery (SEAD) program and received a $25,000 pilot grant from the Hopkins Business of Health Initiative as a co-investigator for transgender health systems innovation. Her honors reflect a rare combination of scientific acumen, athletic discipline, and community impact, affirming her multifaceted contributions to medicine and public health.

🔬 Research Focus

Camille Blackman’s research centers on gender-affirming care, surgical education, and health disparities. At the Johns Hopkins Center for Transgender and Gender Expansive Health, she explores clinical outcomes related to chest masculinization and hormone therapy, and contributes to the development of transgender health infrastructure. She has authored and co-authored multiple peer-reviewed publications on subjects such as craniofacial surgery techniques, body mass index implications in gender-affirming surgeries, and innovative educational approaches like clay modeling in anatomy instruction. Camille’s forthcoming book chapters on vaginoplasty and transgender care centers further establish her as an emerging scholar in surgical education and gender health equity. She has presented her work at high-profile conferences, including the Plastic Surgery Research Council and the Sexual Medicine Society of North America. Through her research, Camille aims to enhance inclusivity, clinical outcomes, and the surgical learning experience, particularly in areas where historically marginalized populations have faced significant healthcare gaps.

✅ Conclusion

Camille Blackman is a future physician and trailblazer in gender-affirming healthcare whose interdisciplinary expertise, clinical compassion, and research innovation are advancing inclusive medicine, educational reform, and equity in surgical outcomes.

Publications