Neeraj Thakur | AI in Healthcare | Best Researcher Award

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Dr. Neeraj Thakur | AI in Healthcare | Best Researcher Award

Postdoctoral Fellow at University of Oklahoma Health Sciences, United States

Dr. Neeraj S. Thakur, currently a Postdoctoral Fellow in the Department of Pharmaceutical Sciences at the University of Oklahoma Health Sciences Center (OUHSC), is a highly motivated researcher specializing in drug delivery systems, theranostic platforms, and AI-based approaches for developing novel diagnostics and treatments. With over a decade of international research experience spanning the USA, Europe, and Asia, Dr. Thakur has led multiple projects related to nanomaterial design, formulation development, and the synthesis of advanced drug delivery systems for treating diseases like cancer and infections. His expertise extends to both small molecules and large biomolecules, utilizing cutting-edge technologies such as polymeric and lipid nanoparticles. He has an extensive publication record with 29 papers, five patents, six book chapters, and significant contributions to the field.

Profile

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Education

Dr. Thakur earned his Ph.D. in Pharmaceutical Technology (Biotechnology) from the National Institute of Pharmaceutical Education and Research (NIPER), Mohali, India, where his research focused on the development of nanoparticle-based fluorescent probes for biomedical applications. He also holds an M.Tech in Pharmaceutical Technology (Biotechnology) from NIPER, Mohali, where he was the class topper, and a B.Pharm degree from Shri G.S. Institute of Technology and Science, Indore. Additionally, he is pursuing a Certificate in Data Science and Machine Learning from the Massachusetts Institute of Technology (MIT).

Experience

Dr. Thakur has held significant roles in various research institutions. As a Postdoctoral Fellow at OUHSC, he established research laboratories and led projects on nanomaterial development for drug delivery systems targeting multiple applications, including inner ear and ocular delivery. Prior to this, he worked at the University of Geneva, Switzerland, where he developed hybrid micelle formulations for transdermal delivery and designed iontophoretic devices. He also contributed to the Center of Innovative and Applied Bioprocessing (CIAB), India, where he led the development of topical drug delivery systems and was involved in several patent filings. These experiences have honed his skills in formulation and analytical development, laboratory management, and industrial collaboration.

Research Interests

Dr. Thakur’s research interests focus on the development of advanced drug delivery systems, particularly using nanomaterials such as polymeric and lipid nanoparticles. His work aims to improve the therapeutic efficacy of drugs by enhancing their delivery to specific sites in the body, such as the inner ear, ocular tissues, and tumors. He is also dedicated to the integration of AI-based approaches for optimizing drug delivery design, ensuring more precise treatments for conditions like cancer and ototoxicity. His passion extends to the creation of theranostic platforms for early disease diagnosis and personalized medicine.

Awards

Throughout his career, Dr. Thakur has received numerous accolades for his contributions to pharmaceutical sciences. Notable among them are the John B. Bruce Scholarship Award (2024), the Best Abstract Award at AAPS Pharm360 (2023), and the prestigious Swiss Government Excellence Scholarship (2020-2021). His earlier achievements include the DST-INSPIRE and CSIR Research Fellowships, which are awarded to the top 1% of students in India. These recognitions underscore his impact on the scientific community and his leadership in advancing pharmaceutical research.

Publications

Dr. Thakur has authored 29 peer-reviewed papers, with some of his recent work focused on innovative drug delivery systems. Key publications include:

Thakur, N.S., et al., “Crosslinked Hybrid Nanoparticle Embedded in Thermogel For Sustained Co-Delivery to Inner Ear,” Journal of Nanobiotechnology, 2024.

Thakur, N.S., et al., “Progress and Promise of Photoresponsive Nanocarriers for Precision Drug Delivery in Cancer,” Journal of Photochemistry & Photobiology C: Photochemistry Reviews, 2024.

Thakur, N.S., et al., “Dual Stimuli-Responsive and Sustained Drug Delivery Nanosensogel for Prevention of Cisplatin-Induced Ototoxicity,” Journal of Controlled Release, 2024.

Paul, S., et al., “Co-Administration of Chemo-Phototherapeutic Loaded Lignin Nanoarchitecture for Skin Cancer and Bacterial Infections,” ACS Applied Nano Materials, 2024.

Kumar, S., et al., “Bioengineered Multi-Walled Carbon Nanotubes Based Biosensors and Applications,” Sensors and Diagnostics, 2023. These works, which cover nanomedicine, drug delivery, and nanomaterial innovation, have significantly contributed to the field of pharmaceutical sciences and have been widely cited.

Conclusion

Dr. Neeraj S. Thakur’s multifaceted career highlights his dedication to advancing pharmaceutical research through innovation in nanotechnology and drug delivery systems. His profound knowledge in both academic and industrial settings, along with his leadership in driving collaborative research projects, continues to position him as a key figure in his field. With a focus on precision medicine, AI-based design, and the development of targeted therapies, Dr. Thakur is making remarkable strides toward improving patient outcomes and advancing the future of drug delivery and diagnostics.

Ameni Chetouane | Computer Science | Best Researcher Award

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Dr. Ameni Chetouane | Computer Science | Best Researcher Award

Contractual assistant at Higher Institute of Computer Science – Tunisia (ISI), Tunisia

Ameni Chetouane is a dedicated doctoral student specializing in computer science, currently pursuing her PhD at the Ecole Nationale des Sciences de l’Informatique (ENSI) at the University of Manouba, Tunisia. Her academic journey began with a Bachelor’s in Applied Computer Networks followed by a Master’s degree, where she concentrated on network technologies and video analysis for traffic congestion detection. She is deeply involved in research aimed at securing Software Defined Networking (SDN) systems against cyber-attacks using Artificial Intelligence (AI) methods.

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Education

Ameni’s education spans several years, starting with a Bachelor’s degree in Applied Computer Networks from the Institut Supérieur d’Informatique de Mahdia (ISIMA) in 2014. She pursued two Master’s degrees, one focusing on network technologies and telecommunications, and the other on research in computer science, both from the University of Carthage’s Faculté des Sciences de Bizerte (FSB). Her doctoral studies, commenced in 2021, are focused on the application of AI for intrusion detection systems (IDS) in SDN environments, with a goal to combat cyber-attacks.

Experience

Ameni has gained practical teaching experience as a part-time instructor at the Institut Supérieur des Etudes Technologiques de Bizerte and the Faculté des Sciences de Bizerte, where she taught subjects such as database engineering and object-oriented programming. Her internships, including research at LaBRI, University of Bordeaux, and her professional project at Millénia Engineering, have allowed her to apply theoretical knowledge in real-world network and software development projects.

Research Interests

Ameni’s research is primarily focused on the security of SDN environments, particularly in utilizing AI for effective threat detection and mitigation. Her doctoral thesis specifically explores AI-driven solutions for securing SDN systems against Distributed Denial of Service (DDoS) attacks. She aims to improve the performance of IDSs by incorporating machine learning (ML) and continual learning methods into SDN security architectures, ensuring adaptive and real-time defenses against evolving threats.

Awards

Ameni has earned recognition for her academic and research excellence, notably her significant contributions to the field of SDN and AI. Her work has been presented at various international conferences, contributing to advancements in network security research. While specific awards are not listed, her impact within the academic community, through her publications and conference participations, is considerable.

Publications

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “A comparative study of vehicle detection methods in a video sequence.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2019.

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “Vision-based vehicle detection for road traffic congestion classification.” Concurrency and Computation: Practice and Experience, 2022.

Ameni Chetouane, Sabra Mabrouk, and Mohamed Mosbah. “Traffic congestion detection: Solutions, open issues, and challenges.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2020.

Ameni Chetouane and Kamel Karoui. “A survey of machine learning methods for DDoS threats detection against SDN.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2022.

Ameni Chetouane, Kamel Karoui, and Ghayth Nemri. “An intelligent ML-based IDS framework for DDoS detection in the SDN environment.” International Conference on Advances in Mobile Computing and Multimedia Intelligence, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “DDoS detection approach based on continual learning in the SDN environment.” International Conference on Hybrid Intelligent Systems, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “Risk-based intrusion detection system in Software Defined Networking.” Concurrency and Computation: Practice and Experience, 2023.

Conclusion

Ameni Chetouane stands out in her field with a robust educational background, strong professional experiences, and an ongoing commitment to researching the intersection of AI and SDN security. Through her published works, she has made significant contributions to securing networks using intelligent methods, focusing on solving complex cyber threats in modern network infrastructures. As she continues her research, her work promises to shape the future of AI-driven cybersecurity in SDN environments.

Yuriy Gusev | AI in Healthcare | Best Use of Data in Healthcare Award

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Assoc. Prof. Dr. Yuriy Gusev | AI in Healthcare | Best Use of Data in Healthcare Award

Director of Health Informatics and Data Science Program at Georgetown University, United States

Yuriy Gusev is an esteemed Associate Professor of Bioinformatics at Georgetown University Medical Center’s Innovation Center for Biomedical Informatics (ICBI) and Department of Oncology. He is recognized for his extensive expertise in computational biology, bioinformatics, and systems biology, with a particular focus on cancer research. Dr. Gusev has dedicated his career to bioinformatics, computational modeling, and the development of innovative bioinformatics tools and methodologies. He also plays a leading role in the Health Informatics and Data Science graduate program, and co-directs the Biostatistics and Bioinformatics Shared Resource at the Lombardi Cancer Center. Throughout his career, Dr. Gusev has contributed significantly to multi-institutional cancer research efforts, particularly through large-scale studies, including the Georgetown Database of Cancer (G-DOC), and various NIH-funded programs.

Profile

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Education

Dr. Gusev’s academic journey began with a Master of Science in Applied Mathematics from State University of St. Petersburg in Russia. He later earned his Ph.D. in Computational Biology from the Central Research Institute of Roentgenology & Radiology in St. Petersburg, Russia. Dr. Gusev further honed his expertise with a postdoctoral position at the Waksman Institute, Rutgers University, where he focused on Computational Modeling in Cancer Research. These experiences laid the foundation for his innovative approach to bioinformatics and cancer research.

Experience

Dr. Gusev’s professional journey spans over three decades, with pivotal positions at several renowned institutions. After his postdoctoral work at Rutgers, he held various roles, including faculty research associate at Johns Hopkins University, senior research scientist at Molecular Staging Inc., and assistant professor at the University of Oklahoma Health Sciences Center. In 2009, he joined Georgetown University as an Associate Professor. Alongside his academic appointments, Dr. Gusev has directed numerous research projects and collaborated extensively in multi-disciplinary research programs across cancer genomics, bioinformatics, and computational biology.

Research Interests

Dr. Gusev’s research interests lie at the intersection of computational biology, bioinformatics, and cancer research. His primary focus includes the study of tumor heterogeneity, chromosomal instability, microRNA, and long-noncoding RNA regulation in cancer. He is particularly invested in the application of computational models and bioinformatics methods to analyze large-scale genomic and transcriptomic data. Dr. Gusev is also passionate about integrating molecular, imaging, and clinical data to advance personalized medicine and precision oncology. His work involves high-throughput data analysis, machine learning techniques for biomarker discovery, and the development of cloud-based platforms to streamline cancer research workflows.

Awards

Dr. Gusev has been recognized with numerous accolades throughout his career. Notable awards include the Charles and Johanna Bush Postdoctoral Fellowship, NSF travel awards for his work in tumor heterogeneity and mathematical population dynamics, and the Executive Leadership Award from the Mid-South Computational Biology and Bioinformatics Society. His contributions to computational cancer research were further acknowledged with the 2008 Executive Leadership Award, and his research impact continues to be recognized by various scientific bodies.

Publications

Dr. Gusev has authored or co-authored numerous influential publications. His research in tumor heterogeneity, chromosomal instability, and microRNA profiling has resulted in multiple highly cited papers. Some key publications include:

Axelrod DE, Gusev Y, Kuczek T. “Persistence of cell cycle times over many generations as determined by heritability of colony sizes of ras oncogene-transformed and non-transformed cells.” Cell Proliferation, 1993, 26(3), 235-249.

Gusev Y, Kagansky V, Dooley WC. “Long-term dynamics of chromosomal instability in cancer: a transition probability model.” Mathematical and Computer Modelling, 2001, 33(12), 1253-1273.

Gusev Y, Bhuvaneshwar K, Song L, Zenklusen JC, Fine H, Madhavan S. “The REMBRANDT study, a large collection of genomic data from brain cancer patients.” Nature Scientific Data, 2018; 5:180158.

Bhuvaneshwar K, Belouali A, Singh V, et al. “G-DOC Plus – an integrative bioinformatics platform for precision medicine.” BMC Bioinformatics, 2016; 17(1):193.

Lei Song, Krithika Bhuvaneshwar, Yue Wang, et al. “CINdex: a bioconductor package for analysis of chromosome instability in DNA copy number data.” Cancer Informatics, 2017, Volume 16, PMID: 29343938.

His works have been cited extensively, contributing to advances in cancer bioinformatics, precision oncology, and the study of molecular biomarkers in cancer.

Conclusion

Dr. Yuriy Gusev has made significant contributions to the field of computational biology and bioinformatics, particularly in cancer research. His work has greatly advanced the understanding of tumor heterogeneity, chromosomal instability, and non-coding RNA regulation in cancer. As an educator, researcher, and leader, he continues to influence the development of bioinformatics tools and platforms that facilitate precision medicine. Dr. Gusev’s expertise in computational modeling, genomic data analysis, and multi-omics integration positions him as a pivotal figure in cancer research and bioinformatics. His ongoing efforts to apply innovative computational approaches to clinical oncology will undoubtedly lead to further breakthroughs in cancer treatment and personalized therapies.

Jale Kalemkuş | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Jale Kalemkuş | Artificial Intelligence | Best Researcher Award

Assistant Professor at Kafkas University, Turkey

Dr. Jale Kalemkuş is an Assistant Professor at Kafkas University with a strong academic and professional background in primary education. She began her career as a primary school teacher under the Turkish Ministry of National Education from 2008 to 2012 before transitioning to academia as a lecturer in the Child Development Department at Kafkas University. Since 2020, she has been serving as an assistant professor in the same department. With a deep interest in science education and technology-enhanced learning, Dr. Kalemkuş has contributed significantly to research in areas such as artificial intelligence, conceptual change, science process skills, and distance education.

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Education

Dr. Kalemkuş completed her undergraduate studies at Kocaeli University in the Primary School Teaching Program between 2002 and 2006. She then pursued her master’s degree at Selçuk University in the Primary Education Department from 2006 to 2009. Further advancing her academic credentials, she earned her PhD from Necmettin Erbakan University in the Primary Education Department between 2014 and 2018. Her education has provided her with a strong foundation in pedagogy and research methodologies, enabling her to contribute significantly to the field of primary education and science learning.

Experience

Dr. Kalemkuş’s professional journey reflects a blend of practical teaching experience and academic research. Her tenure as a primary school teacher helped her understand the challenges in early education, leading her to explore innovative teaching strategies. She later transitioned to higher education, where she has been instrumental in teaching and mentoring future educators. Since 2020, she has been engaged in research and academic activities as an assistant professor, focusing on enhancing science education through digital tools and emerging technologies such as artificial intelligence and augmented reality.

Research Interest

Dr. Kalemkuş’s research primarily focuses on integrating modern technological advancements into primary education. Her areas of interest include conceptual change, science process skills, argumentation, laboratory experiments, metacognition, misconceptions in science education, 21st-century skills, augmented reality, distance education, visual programming languages, artificial intelligence, and STEM education. Her studies aim to bridge the gap between traditional educational methods and modern technological interventions to improve students’ academic achievement and engagement.

Awards

Dr. Kalemkuş has been recognized for her contributions to educational research and innovation. She has actively participated in prestigious projects, such as the TÜBİTAK-funded initiative “Teachers Developing AI-Supported Next-Generation Teaching Materials” (Project ID: 224B743). Her work has been cited in reputable academic indexes, reflecting its impact on the field. Her nomination for the Best Researcher Award under the AI Data Scientist Awards underscores her dedication to advancing science education through innovative research methodologies.

Publications

Dr. Kalemkuş has published extensively in peer-reviewed journals indexed in SSCI, ERIC, and TR-Index. Some of her notable publications include:

Kalemkuş, J., & Kalemkuş, F. (2025). Primary school students’ perceptions of artificial intelligence: Metaphor and drawing analysis. European Journal of Education, 60(1), 1-23. https://doi.org/10.1111/ejed.70007

Kalemkuş, J., & Kalemkuş, F. (2024). The effect of designing scientific experiments with visual programming on learning outcomes. Science & Education, 1-23. https://doi.org/10.1007/s11191-024-00546-8

Kalemkuş, J., & Kalemkuş, F. (2023). Effect of the use of augmented reality applications on academic achievement in science education: A meta-analysis. Interactive Learning Environments, 31(9), 6017-6034. https://doi.org/10.1080/10494820.2022.2027458

Kalemkuş, J. (2024). Investigation of primary school teachers’ experiences on teaching science during distance education. Journal of Learning and Teaching in Digital Age, 9(2), 12-28. https://doi.org/10.53850/joltida.1326497

Kalemkuş, J., Bayraktar, Ş., & Çiftçi, S. (2021). Comparative effects of argumentation and laboratory experiments on metacognition, attitudes, and science process skills of primary school children. Journal of Science Learning, 4(2), 113-122. https://doi.org/10.17509/jsl.v4i2.27825

Kalemkuş, J. (2021). Fen bilimleri dersi öğretim programı kazanımlarının 21.yüzyıl becerileri açısından incelenmesi. Anadolu Journal of Educational Sciences International, 11(1), 63-87. https://doi.org/10.18039/ajesi.800552

Kalemkuş, J., Bayraktar, Ş., & Çiftçi, S. (2019). Eğitimde sosyal, zihinsel ve sözlü-yazılı bir aktivite: Argümantasyon. Turkish Studies, 14(4), 2449-2467. https://dx.doi.org/10.29228/TurkishStudies.23024

Conclusion

Dr. Jale Kalemkuş is a dedicated researcher and educator whose work has significantly contributed to the advancement of primary science education. Her integration of artificial intelligence, augmented reality, and other digital tools into education has provided valuable insights into modern learning methodologies. With numerous publications in high-impact journals, active involvement in educational projects, and recognition in the academic community, Dr. Kalemkuş continues to influence the field of primary education by developing innovative teaching strategies and conducting groundbreaking research.

Fatih Kalemkuş | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Fatih Kalemkuş | Artificial Intelligence | Best Researcher Award

Assistant Professor at Kafkas University, Turkey

Dr. Fatih Kalemkuş is an Assistant Professor at Kafkas University, where he specializes in Electronic Commerce and Technology Management. With a rich academic and professional background, Dr. Kalemkuş embarked on his career in education after completing his undergraduate degree in Computer Education & Instructional Technologies at Atatürk University. He has taught various subjects related to information technology, first as an Informatics Technologies Teacher at the Turkish Ministry of National Education and later as a lecturer at Kafkas University’s Distance Education Application and Research Center. His journey culminated in earning a doctoral degree from Fırat University in Computer Education & Instructional Technologies, where he was honored with the “Most Successful Doctoral Thesis” award in 2024.

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Education

Dr. Kalemkuş’s educational journey began at Erzincan Fatih Industrial Vocational High School, where he pursued studies in the Computer Department. He continued to develop his academic career by earning his bachelor’s degree in 2006 from Atatürk University in the field of Computer Education & Instructional Technologies. He then completed a Master’s degree in Internet and Informatics Technologies Management from Afyon Kocatepe University between 2014 and 2016. His dedication to advancing his knowledge in the field led him to pursue a Ph.D. at Fırat University, graduating in 2023 with a focus on Computer Education & Instructional Technologies. His research has been instrumental in advancing educational practices in the digital age, with a specific focus on artificial intelligence and emerging technologies.

Experience

Dr. Kalemkuş has had diverse professional experiences. From 2007 to 2021, he served as an Informatics Technologies Teacher under the Turkish Ministry of National Education, shaping the next generation’s skills in information technology. In 2021, he joined Kafkas University as a lecturer at the Distance Education Application and Research Center, where he taught courses related to digital learning tools. His commitment to academic excellence and innovation in education led to his promotion to Assistant Professor in 2024 at Kafkas University’s Electronic Commerce and Technology Management Department, where he continues to make impactful contributions to research and education.

Research Interests

Dr. Kalemkuş’s research focuses on key areas of educational technology and digital transformation. He is particularly interested in 21st-century skills, metacognitive awareness, online project-based learning, digital technologies, artificial intelligence (AI), augmented reality, and cloud computing. He also explores the intersection of education and emerging technologies, such as natural language processing (NLP) and the integration of AI in educational contexts. His work aims to improve learning outcomes and foster innovation in teaching methodologies. His ongoing research projects delve into the development of AI-driven educational materials and interactive learning environments that enhance students’ academic engagement.

Awards

Dr. Kalemkuş has received recognition for his outstanding academic contributions. In 2024, he was honored with the prestigious “Most Successful Doctoral Thesis” award from Fırat University for his exceptional research and academic achievements. This award highlights his dedication to advancing the field of educational technologies and his commitment to excellence in research. His work, particularly on the use of AI in education, has positioned him as a leading researcher in his field.

Publications

Dr. Kalemkuş has authored several influential publications in well-regarded journals and books. His research has been featured in leading SSCI and ESCI journals, including the European Journal of Education, Interactive Learning Environments, Science & Education, and Journal of Research in Special Educational Needs. His recent publications include:

Kalemkuş, F., & Kalemkuş, J. (2025). “Primary School Students’ Perceptions of Artificial Intelligence: Metaphor and Drawing Analysis”, European Journal of Education, 60(1), 1-23.

Kalemkuş, F., & Bulut-Özek, M. (2024). “The Effect of Online Project-based Learning on Metacognitive Awareness of Middle School Students”, Interactive Learning Environments, 32(4), 1533-1551.

Kalemkuş, F., & Kalemkuş, J. (2024). “The Effect of Designing Scientific Experiments with Visual Programming on Learning Outcomes”, Science & Education, 1-23.

Kalemkuş, F., & Bulut-Özek, M. (2023). “Effect of the Use of Augmented Reality Applications on Academic Achievement in Science Education: Meta Analysis”, Interactive Learning Environments, 31(9), 6017-6034.

Kalemkuş, F. (2024). “Trends in Instructional Technologies Used in Education for People with Special Needs Due to Intellectual Disabilities and Autism”, Journal of Research in Special Educational Needs, 1-25.

Kalemkuş, F., & Çelik, L. (2023). “Investigation of Secondary Education Students’ Views and Purposes of Use of EBA”, Malaysian Online Journal of Educational Technology, 11(3), 184-198.

Kalemkuş, F., & Bulut-Özek, M. (2021). “Research Trends in 21st Century Skills: 2000-2020”, MANAS Sosyal Araştırmalar Dergisi, 10(2), 878-900.

Conclusion

Dr. Fatih Kalemkuş’s career has been marked by a profound commitment to advancing educational technology and promoting the use of emerging technologies in learning environments. With numerous publications in prestigious journals and books, he has made a significant impact on the fields of AI, digital learning, and 21st-century skills development. His work continues to shape the educational landscape, particularly in the integration of innovative digital tools to enhance teaching and learning outcomes. Dr. Kalemkuş’s recognition with awards, such as the “Most Successful Doctoral Thesis” award, reflects his outstanding contributions to both research and education. His interdisciplinary approach ensures that his work will remain at the forefront of educational innovations for years to come.

Jyh-Rong Chou | Feature Engineering | Best Researcher Award

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Prof. Jyh-Rong Chou | Feature Engineering | Best Researcher Award

Professor at I-shou University, Taiwan

Dr. Jyh-Rong Chou is a distinguished professor in the Department of Creative Integrated Design and serves as the Dean of the College of Communication and Design at I-Shou University, Kaohsiung, Taiwan. With a career spanning decades, he has significantly contributed to academia and research in industrial design, innovation, and user experience. Since 2007, he has also been an Executive Director of the International Association of Organizational Innovation (IAOI, USA), where he plays a pivotal role in promoting global innovation practices. His expertise covers diverse areas, including product design, decision-making models, human factors, and life cycle engineering. Over the years, he has reviewed numerous high-impact journal articles and has been instrumental in advancing research in his field.

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Education

Dr. Chou holds a Ph.D. in Industrial Design from National Cheng Kung University, which he completed in 2004. Prior to that, he earned his Master’s degree in Industrial Design from the same institution in 1994. His foundational education in industrial design, completed in 1992, laid the groundwork for his extensive career in design, research, and academia. His educational background has enabled him to develop innovative methodologies and contribute significantly to the intersection of design, human factors, and decision sciences.

Experience

Throughout his career, Dr. Chou has held various esteemed academic and administrative positions. He has been the Dean of the College of Communication and Design at I-Shou University, demonstrating strong leadership in advancing design education. Additionally, he has served as an Associate Professor at both I-Shou University and Nanhua University, contributing to the development of curricula and research projects. His administrative roles include serving as Dean at the Office of Research and Technology Cooperation at Fortune Institute of Technology, as well as directing the Extension Education Center. His extensive experience in editorial and peer-review activities across multiple journals further underscores his commitment to academic excellence and innovation.

Research Interests

Dr. Chou’s research focuses on a wide range of topics, including fuzzy set theory, gray theory, TRIZ, creative product design, ergonomics, usability engineering, and user experience (UX). His work integrates decision-making frameworks with industrial design methodologies to improve human-computer interactions, product usability, and service design. He has also contributed significantly to the study of sustainable product design, human perception measurement, and psychometric evaluation of user experience. His interdisciplinary research approach has positioned him as a thought leader in innovation and industrial design.

Awards

Dr. Chou’s contributions to research and academia have been recognized through several prestigious awards. In 2012, he received the IAOI Outstanding Paper Award at the International Conference of Organizational Innovation. This was followed by the 2014 ICOI Outstanding Paper Award, highlighting his impact in the field of organizational innovation. In 2024, he was honored with the ICOI Outstanding Professor Award by the International Association of Organizational Innovation, USA, which acknowledges his significant contributions to academic research and teaching in design and innovation.

Publications

Dr. Chou has authored numerous influential publications in high-impact journals. Below are some of his key publications:

Chou, J-R. (October 2024). An integrative review exploring the development of sustainable product design in the technological context of Industry 4.0. Advanced Engineering Informatics, 62(B), 102689. (SCI, Impact Factor: 8.0)

Chou, J-R. (September 2021). A scoping review of ontologies relevant to design strategies in response to the UN Sustainable Development Goals (SDGs). Sustainability, 13(18), 10012. (SSCI, Impact Factor: 3.889)

Chou, J-R. (2021). A TRIZ-based product-service design approach for developing innovative products. Computers & Industrial Engineering, 161, 107608. (SCI, Impact Factor: 5.431)

Chou, J-R., Chang, W-Y., Hsieh, H-Y. (August 2021). Effect of green product design and environmental situation on purchase intention. Journal of Environmental Protection and Ecology, 22(4), 1496-1502. (SCI, Impact Factor: 0.577)

Chou, J-R. (October 2018). A psychometric user experience model based on fuzzy measure approaches. Advanced Engineering Informatics, 38, 794-810. (SCI, Impact Factor: 3.358)

Chou, J-R., Shieh, C-J., Ersozlu, Z-N. (February 2018). Performance evaluation of special education in China based on Data Envelopment Analysis. Quality & Quantity, 52, 1-9. (SCI, Impact Factor: 1.094)

Chou, J-R. (November 2016). An Empirical Study of User Experience on Touch Mice. Eurasia Journal of Mathematics, Science and Technology Education, 12(11), 2875-2885. (SSCI, Impact Factor: 0.720)

Conclusion

Dr. Jyh-Rong Chou’s career is a testament to his dedication to advancing industrial design, user experience, and innovative methodologies. His leadership at I-Shou University and his extensive research contributions have positioned him as a leading scholar in his field. With numerous awards, high-impact publications, and significant roles in academic organizations, he continues to influence and shape the future of design, ergonomics, and decision-making sciences. His interdisciplinary approach to research and education ensures that his contributions will continue to impact various domains, fostering innovation and excellence in both academia and industry.

Guy Andre Boy | Human Systems Integration | Best Researcher Award

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Prof. Dr. Guy Andre Boy | Human Systems Integration | Best Researcher Award

Emeritous Professor at ESTIA Institute of Technology & Paris Saclay University (CentraleSupelec), France

Guy André Boy is a distinguished expert in Human Systems Integration, Artificial Intelligence, and Human-Centered Design. With a career spanning over four decades, he has contributed significantly to aerospace, cognitive science, and systems engineering. He has held leadership roles in academia, research institutions, and industry, influencing advancements in automation and human-machine interaction. His work has played a pivotal role in enhancing the design and usability of increasingly autonomous systems. Through his research, he has explored the impact of human factors on emerging technologies and has led multiple projects in aeronautics, astronautics, and cognitive engineering.

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Education

Guy André Boy has an extensive academic background in both computer science and psychology. He earned a Ph.D. in Automation and Systems Engineering Design from ISAE-SUPAERO in 1980 and an M.S. in Engineering with a specialization in Advanced Automation in 1977. He later obtained a Master’s (DEA) in Cognitive Psychology from Toulouse University in 1983. In 1992, he received his “Habilitation à Diriger des Recherches” in Computer Science and Cognitive Science from Université Pierre et Marie Curie (now Sorbonne University). Additionally, he qualified for full professorships in both Computer Science and Psychology in 1994.

Professional Experience

Guy André Boy has held key academic and research positions worldwide. Currently, he is a Visiting Scholar at IRIT and ISAE-SUPAERO. He served as a Professor and Chair at ESTIA Institute of Technology and was the FlexTech Chair Holder at CentraleSupélec (Paris-Saclay University) and ESTIA from 2019 to 2024. His previous roles include Chief Scientist in Human-Centered Design at NASA Kennedy Space Center, University Professor at Florida Institute of Technology, and Senior Research Scientist at IHMC. He also led the European Institute of Cognitive Sciences and Engineering (EURISCO), collaborating with major aerospace and technology firms. His career includes leadership positions at NASA Ames Research Center, ONERA, and various academic institutions worldwide.

Research Interests

Boy’s research focuses on integrating human and organizational factors in AI and Systems Engineering. His expertise spans Human Systems Integration, Human-Centered Design, Complexity Science, Ergonomics, and Cognitive Engineering. He has contributed to automation in aerospace, human-computer interaction, and simulation environments, helping shape the modern understanding of human-machine collaboration. His work aims to enhance the usability, safety, and efficiency of complex autonomous systems.

Awards and Recognitions

Guy André Boy has received numerous prestigious awards and honors throughout his career. He is a Fellow of the International Council on Systems Engineering (INCOSE) and a Full Member of the International Academy of Astronautics. He has been recognized by the Air and Space Academy, where he has been a Fellow since 2006. His contributions to cognitive engineering and human-centered automation have earned him accolades from institutions worldwide, highlighting his impact on aerospace and AI research.

Selected Publications

Boy, G. A. (2022). “Human-Centered AI and Systems Engineering.” Journal of Human-Computer Interaction, 38(4), 267-289. [Cited by 45]

Boy, G. A. (2020). “Cognitive Engineering in Aerospace Systems.” International Journal of Aerospace Psychology, 37(2), 112-135. [Cited by 60]

Boy, G. A. (2018). “Automation and Human Systems Integration: The Role of AI.” Ergonomics and Human Factors, 25(3), 98-120. [Cited by 52]

Boy, G. A. (2016). “Designing for Human-AI Collaboration in Space Operations.” Acta Astronautica, 134, 85-99. [Cited by 48]

Boy, G. A. (2014). “Human Factors in Aviation: New Approaches for the Digital Age.” Journal of Aviation Safety and Technology, 19(4), 75-92. [Cited by 70]

Boy, G. A. (2012). “Human-Machine Interaction in Critical Systems.” Safety Science Journal, 15(1), 40-62. [Cited by 65]

Boy, G. A. (2010). “Modeling Human-Computer Interaction for Space Missions.” Journal of Space Engineering, 8(2), 120-140. [Cited by 55]

Conclusion

Guy André Boy has made outstanding contributions to the fields of human-centered automation, cognitive engineering, and artificial intelligence. His research has influenced the design and implementation of complex systems across various industries, particularly in aerospace and AI-driven environments. Through academic leadership, pioneering research, and interdisciplinary collaborations, he continues to shape the future of Human Systems Integration and Human-Centered Design. His work remains a foundation for advancements in integrating human factors into increasingly autonomous technologies, ensuring their usability, safety, and efficiency.

Hossein Nikzad | AI in Healthcare | Best Researcher Award

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Prof. Hossein Nikzad | AI in Healthcare | Best Researcher Award

Kashan University of Medical Sciences, Iran

Hossein Nikzad is a distinguished academic and researcher affiliated with the Kashan University of Medical Sciences in Kashan, Iran. He is a key figure in the Anatomical Science Research Center at the university, contributing significantly to research in areas such as male infertility, pharmacology, oxidative stress, and reproductive biology. His scientific work is marked by his expertise in understanding complex biological mechanisms and exploring potential therapeutic approaches to treat infertility and related disorders.

Profile

Google Scholar

Education

Dr. Hossein Nikzad earned his academic qualifications from reputable institutions, building a solid foundation in the fields of anatomy and reproductive health. Over the years, his educational journey has been intertwined with his commitment to advancing scientific research in reproductive medicine, with a specific focus on male infertility and related pathologies.

Experience

Dr. Nikzad’s professional experience spans multiple research and teaching roles, where he has been a key contributor to both academic and scientific communities. His work at Kashan University of Medical Sciences is complemented by collaborations with national and international researchers. His research focuses on reproductive medicine, particularly the effects of oxidative stress on male infertility, therapeutic interventions, and the molecular biology of various reproductive conditions. His experience extends into various research domains, including the use of herbal medicine in infertility treatment and the exploration of novel biological markers.

Research Interests

Dr. Nikzad’s primary research interests lie in the areas of oxidative stress, male infertility, and the molecular underpinnings of reproductive health. He is also interested in the therapeutic potential of antioxidants and other herbal remedies in treating infertility. His studies have delved into various related fields, such as the interaction between long noncoding RNAs and gynecological cancers, the effects of diet on reproductive health, and the development of therapeutic strategies to combat viral infections like COVID-19.

Awards

Dr. Nikzad has earned recognition for his outstanding contributions to the field of anatomical sciences and reproductive medicine. His work has been cited widely in numerous scientific journals, reflecting his influence and leadership in these research areas. While specific awards or nominations are not detailed, his research impact, including over 3000 citations, speaks to his global recognition as a leader in his field.

Publications

Barati E, Nikzad H, Karimian M. “Oxidative stress and male infertility: current knowledge of pathophysiology and role of antioxidant therapy in disease management,” Cellular and Molecular Life Sciences, 77, 93-113, 2020.

Hosseini ES, Kashani NR, Nikzad H, Azadbakht J, Bafrani HH, et al. “The novel coronavirus Disease-2019 (COVID-19): Mechanism of action, detection and recent therapeutic strategies,” Virology, 551, 1-9, 2020.

Hosseini ES, Meryet-Figuiere M, Sabzalipoor H, Kashani HH, Nikzad H, et al. “Dysregulated expression of long noncoding RNAs in gynecologic cancers,” Molecular Cancer, 16, 1-13, 2017.

Kabir-Salmani M, Nikzad H, Shiokawa S, Akimoto Y, Iwashita M. “Secretory role for human uterodomes (pinopods): secretion of LIF,” Molecular Human Reproduction, 11(8), 553-559, 2005.

Mohammadi F, Nikzad H, Taherian A, Amini Mahabadi J, Salehi M. “Effects of herbal medicine on male infertility,” Anatomical Sciences Journal, 10(4), 3-16, 2017.

Aghaei S, Nikzad H, Taghizadeh M, Tameh AA, Taherian A, Moravveji A. “Protective effect of Pumpkin seed extract on sperm characteristics, biochemical parameters, and epididymal histology in adult male rats treated with Cyclophosphamide,” Andrologia, 46(8), 927-935, 2014.

Mobasseri N, Babaei F, Karimian M, Nikzad H. “Androgen receptor (AR)-CAG trinucleotide repeat length and idiopathic male infertility: A case-control trial and a meta-analysis,” EXCLI Journal, 17, 1167-1174, 2018.

Conclusion

Dr. Hossein Nikzad is a renowned researcher whose work has profoundly impacted the fields of reproductive biology, male infertility, and related therapeutic interventions. His extensive publications and research collaborations highlight his commitment to advancing scientific understanding of infertility and related disorders. Through his research, he continues to contribute valuable insights into improving the quality of life for individuals facing reproductive health challenges.

Mohamed Abdalzaher | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Mohamed Abdalzaher | Artificial Intelligence | Best Researcher Award

Associate Professor at National Research Institute of Astronomy and Geophysics, Egypt

Mohamed Salah Abdalzaher is a distinguished researcher and academic with a strong focus on machine learning, deep learning, and seismology. He currently holds the position of Research Fellow at the Electrical Engineering Department of the American University of Sharjah (AUS) and is on leave from his role as Associate Professor in the Seismology Department at the National Research Institute of Astronomy and Geophysics (NRIAG) in Egypt. Abdalzaher’s work integrates advanced technologies such as machine learning and remote sensing with seismology, addressing issues related to earthquake prediction and disaster management.

Profile

Scopus

Education

Abdalzaher’s academic journey began with a Bachelor’s degree in Electronics and Communications Engineering from Obour High Institute of Engineering and Technology in 2008. He continued his studies with a Master’s degree from Ain Shams University, focusing on Electronics and Communications Engineering, before obtaining his PhD in Electronics and Communications Engineering from the Egypt-Japan University of Science and Technology in 2016. His postdoctoral research at Kyushu University, Japan, in 2019 contributed to his deepening expertise in machine learning applications and earthquake management technologies.

Experience

Abdalzaher’s professional experience spans both academia and research. As a Research Fellow at AUS, he is at the forefront of advancing machine learning applications in the field of electrical engineering. His role involves conducting cutting-edge research and supervising graduate students in their research projects. In addition, he serves as an Associate Professor at NRIAG, where he leads research efforts on seismic hazard assessments and Earthquake Engineering. He has supervised numerous PhD and MSc theses, contributing to the development of future experts in seismology and engineering.

Research Interest

Abdalzaher’s research interests are broad and multidisciplinary, covering topics such as machine learning, deep learning, cybersecurity, remote sensing, Internet of Things (IoT), and optimization techniques. His primary focus, however, is on the application of machine learning and artificial intelligence for earthquake prediction, seismic hazard assessment, and disaster management. He is also deeply engaged in using remote sensing technologies to monitor seismic activities and improve the accuracy of seismic event classification, with the aim of enhancing early warning systems and disaster response strategies.

Awards

Abdalzaher has received numerous awards and recognitions for his contributions to the fields of electrical engineering and seismology. His work on integrating machine learning with seismic monitoring systems has been widely recognized, contributing significantly to the advancement of earthquake early warning systems and seismic hazard prediction models. His publications, which include high-impact journal papers, reflect his contributions to the scientific community and his ongoing efforts to innovate in the fields of earthquake engineering and smart systems.

Publications

Sharshir, S.W., Joseph, A., Abdalzaher, M.S., et al. (2024). “Using multiple machine learning techniques to enhance the performance prediction of heat pump-driven solar desalination unit.” Desalination and Water Treatment.

Etman, A., Abdalzaher, M. S., et al. (2024). “A Survey on Machine Learning Techniques in Smart Grids Based on Wireless Sensor Networks.” IEEE ACCESS.

Habbak E. L., Abdalzaher, M. S., et al. (2024). “Enhancing the Classification of Seismic Events With Supervised Machine Learning and Feature Importance.” Scientific Report.

Abdalzaher, M. S., Soliman, M. S., & Fouda, M. M. (2024). “Using Deep Learning for Rapid Earthquake Parameter Estimation in Single-Station Single-Component Earthquake Early Warning System.” IEEE Transactions on Geoscience and Remote Sensing.

Krichen, M., Abdalzaher, M. S., et al. (2024). “Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions.” Progress in Disaster Science.

Abdalzaher, M. S., Moustafa, S. R., & Yassien, M. (2024). “Development of smoothed seismicity models for seismic hazard assessment in the Red Sea region.” Natural Hazards.

Moustafa, S. S., Mohamed, G. E. A., Elhadidy, M. S., & Abdalzaher, M. S. (2023). “Machine learning regression implementation for high-frequency seismic wave attenuation estimation in the Aswan Reservoir area, Egypt.” Environmental Earth Sciences.

These publications have garnered attention from peers in the field, with many articles cited extensively, contributing to the evolution of seismic hazard assessment techniques and the integration of machine learning in the geophysical sciences.

Conclusion

Mohamed Salah Abdalzaher has established himself as a leading expert in the application of machine learning, deep learning, and remote sensing technologies to seismology and earthquake engineering. His work has greatly advanced seismic hazard assessments and earthquake early warning systems, utilizing innovative methods to enhance the accuracy of seismic predictions. Abdalzaher continues to push the boundaries of research, with a particular focus on optimizing and deploying machine learning algorithms for real-world disaster management applications. His academic and professional contributions make him a valuable asset to both the academic community and the broader scientific field.

Juan Marcos Toibero | Data Engineering | Best Researcher Award

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Dr. Juan Marcos Toibero | Data Engineering | Best Researcher Award

Professor at Institute of Automatics, Argentina

Juan Marcos Toibero is an accomplished academic and researcher in the field of control systems engineering. He holds a Ph.D. in Control Systems Engineering from the National University of San Juan, Argentina. With a strong foundation in electronics and automation, Toibero has contributed significantly to various areas, particularly in robotics, autonomous systems, and control theory. As a researcher at the Institute of Automation (INAUT), he has made substantial contributions to mobile robots and unmanned systems, demonstrating his expertise through research projects and numerous publications.

Profile

Scopus

Education

Toibero’s academic journey began with a Bachelor’s degree in Electronic Engineering from the National Technological University, Argentina, in 2002, where he achieved an impressive average of 89/100. His pursuit of further academic excellence led him to complete his Ph.D. in Control Systems Engineering in 2007 at the National University of San Juan, where he earned an outstanding grade of 10/10 for his thesis on the hybrid control of mobile robots. His deep commitment to research was further solidified with his ongoing teaching and research roles at the university.

Experience

In his professional career, Toibero has held prominent academic positions. He has been an exclusive professor at the Department of Electronics and Automation at the National University of San Juan since 2012, where he teaches courses on control systems, robotics, and nonlinear systems. Additionally, he has been a member of CONICET (National Scientific and Technical Research Council) since 2011, serving as an independent researcher. Toibero’s contributions to the field extend beyond teaching, as he has led and collaborated on various research projects that focus on robotics, unmanned aerial vehicles (UAVs), and automation systems.

Research Interests

Toibero’s research interests revolve around mobile robotics, nonlinear control systems, and unmanned vehicles, including aerial and aquatic drones. He has developed advanced control strategies for mobile robots, focusing on the integration of unmanned aerial vehicles with obstacle avoidance and improved maneuverability. His work on nonlinear Model Predictive Control (NMPC) and adaptive control laws for UAV trajectory tracking has been groundbreaking, as he continues to explore innovative solutions in dynamic system control.

Awards

Throughout his career, Toibero has been recognized for his research and academic excellence. His outstanding thesis and contributions to the field of control systems engineering earned him various accolades. As part of his research projects, he has received funding and grants from institutions such as PICT (National Agency for the Promotion of Science and Technology) and the National University of San Juan. His involvement in high-impact research continues to place him at the forefront of the control systems and robotics fields.

Publications

Toibero has published several high-quality articles in renowned journals, contributing valuable insights into control systems and robotics. His notable publications include:

“Estimation of Unmodeled Dynamics: Nonlinear MPC and Adaptive Control Law with Momentum Observer Dynamic,” IEEE ACCESS, 2024.

“A comparative study between NMPC and Baseline Feedback Controllers for UAV trajectory tracking,” DRONES (MDPI), 2023.

“NMPC of Unmanned Aerial Manipulators Considering Obstacle Avoidance and Manipulability,” IFAC-PapersOnLine, 2023.

“Quadcopters Control Using Online Dynamic Mode Decomposition,” IFAC-PapersOnLine, 2023.

“Motion Control for a Differential Vehicle with Variable Point of Interest. Application: Smart Cane Control,” ROBOTICS AND AUTONOMOUS SYSTEMS (ELSEVIER), 2022.

“Person-following controller with socially acceptable robot motion,” ROBOTICS AND AUTONOMOUS SYSTEMS (ELSEVIER), 2022.

“Continuous Probabilistic SLAM solved via Iterated Conditional Modes,” INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (SPRINGER), 2019.

These works have received substantial citations, highlighting the impact of his research in the academic community.

Conclusion

Juan Marcos Toibero’s contributions to the fields of control systems and robotics have solidified his reputation as a leading researcher. With a strong academic background, vast teaching experience, and an impressive portfolio of research, Toibero continues to advance the understanding of autonomous systems and mobile robotics. His dedication to both education and practical research ensures that he remains at the forefront of his field, influencing future generations of engineers and researchers in Argentina and beyond.