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.

Profile

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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.

Deepak Parashar | Deep Learning | Best Researcher Award

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Dr. Deepak Parashar | Deep Learning | Best Researcher Award

Associate Professor | GSFC University Vadodara Gujarat | India

Dr. Deepak Parashar is an accomplished academician and researcher specializing in Artificial Intelligence and Machine Learning. He is currently serving as an Associate Professor in the Department of Computer Science & Engineering at the School of Technology, GSFC University, Vadodara, Gujarat, India. With over 14 years of academic and research experience, Dr. Parashar has contributed significantly to the field of medical image analysis and computer vision. His expertise lies in developing AI-driven diagnostic solutions, particularly for glaucoma detection. Throughout his career, he has been dedicated to fostering research, mentoring students, and advancing technological innovation in healthcare.

Profile

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Education

Dr. Parashar holds a Ph.D. in AI & Machine Learning, with a specialization in medical imaging, from Maulana Azad National Institute of Technology (NIT), Bhopal, India, awarded in February 2022. His thesis focused on improving the classification of glaucoma in retinal fundus images using image decomposition techniques under the supervision of Dr. D. K. Agrawal. He completed his M.Tech. from SGSITS Indore in 2011 and earned his B.E. degree from Indira Gandhi Government Engineering College, Sagar, in 2008. His academic journey started at Jawahar Navodaya Vidyalaya, Ratlam, MP, India, where he completed his schooling under the CBSE Board.

Experience

Dr. Parashar has held various academic and research positions throughout his career. Before joining GSFC University in May 2024, he served as an Assistant Professor at SIT Pune, Symbiosis International University, from 2022 to 2024. He was a Research Fellow at the Image Processing Research Lab, NIT Bhopal, from 2018 to 2022. Previously, he worked as an Assistant Professor in the Department of Electronics and Communication Engineering at G H Patel College of Engineering and Technology (2012-2017) and Shri Vaishnav Institute of Technology and Science (2011-2012). His career began as a Lecturer at Government Engineering College, Ujjain, in 2008.

Research Interests

Dr. Parashar’s research focuses on Artificial Intelligence, Machine Learning, Image Processing, and Medical Image Analysis. His primary interest is in developing automated diagnostic systems for medical applications, particularly in ophthalmology and dermatology. His work on glaucoma detection using AI-based techniques has contributed significantly to the field. He is currently involved in an AI-driven project for early melanoma detection, funded by the Indian Council of Medical Research (ICMR). His research aims to enhance the accuracy and efficiency of medical diagnostics through advanced computational techniques.

Awards and Achievements

Dr. Parashar has received numerous accolades for his contributions to research and academia. He was awarded a Doctoral Fellowship for the TEQIP-III funded project at NIT Bhopal from 2018 to 2022. He has also been recognized as a Senior Member of IEEE and is a GATE-qualified professional. Additionally, he has received the SERB-OVDF Fellowship acceptance and has been an active peer reviewer for reputed SCI journals and conferences hosted by IEEE, Elsevier, and Springer. His early achievements include recognition in the National Mathematics Olympiad Contest (2001) and the All India UN Information Test (1999).

Publications

Dr. Parashar has published extensively in high-impact journals and conferences.

“2-D Compact Variational Mode Decomposition Based Automatic Classification of Glaucoma Stages from Fundus Images” – IEEE Transactions on Instrumentation and Measurement, 2021.

“Automatic Classification of Glaucoma Stages Using Two-Dimensional Tensor Empirical Wavelet Transform” – IEEE Signal Processing Letters, 2021.

“Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform from Retinal Fundus Images” – IEEE Sensors Journal, 2020. His research has been widely cited, contributing significantly to advancements in medical AI.

Conclusion

Dr. Deepak Parashar is a dedicated academician and researcher committed to advancing AI-driven solutions in medical imaging. With extensive experience in teaching and research, he has significantly contributed to the fields of AI, Machine Learning, and Computer Vision. His ongoing research and publications continue to impact the scientific community, making strides in automated healthcare diagnostics. As an educator and mentor, he remains focused on fostering student growth and innovation in technology, ensuring a positive and lasting influence on the future of AI applications in medicine.

Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

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Dr. Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

Research Fellow | Mediterranea University of Reggio Calabria | Italy

Dr. Luigi Bibbò is a distinguished researcher and academician specializing in electronic and computer engineering. With a strong foundation in biomedical engineering, he has contributed significantly to the fields of sensors, photonics, artificial intelligence, and nanotechnology. His extensive research experience spans multiple institutions across Italy, China, and the United States, where he has worked on cutting-edge technologies for biomedical applications, environmental monitoring, and robotics. Dr. Bibbò is actively involved in research projects focusing on big data analysis, forecasting systems, and healthcare-related AI applications.

Profile

Orcid

Education

Dr. Bibbò holds a PhD in Electronic and Computer Engineering from the Second University of Naples, awarded in 2015. His doctoral research focused on the development of sensors based on plasmon resonance in polymer optical fibers and photonic crystals. Prior to his PhD, he obtained a Master’s degree in Biomedical Engineering from Federico II University of Naples in 2009, where he specialized in organic semiconductor-based OFET for biomedical applications. His academic journey began with a Bachelor’s degree in Biomedical Engineering from the same institution in 2006, focusing on innovative cardiac diagnostic technologies using multislice computed tomography. He later qualified as a professional engineer in 2010.

Experience

Dr. Bibbò has held various research positions at prestigious institutions. Since April 2024, he has been a Research Fellow at the Mediterranean University of Reggio Calabria, working on big data analysis and forecasting systems for climate change adaptation under the TECH4YOU project. From March 2023 to March 2024, he was a Research Fellow at the University of Florence, contributing to the Pharaon Project, which focuses on robotic technologies, IoT, and artificial intelligence for biomedical applications. Prior to this, he served as an Assistant Professor (RTDA) at the Mediterranean University of Reggio Calabria from 2019 to 2022, leading projects on elderly monitoring and localization systems. His international experience includes research fellowships at Shenzhen University, China (2016-2019), where he developed metasurfaces for OAM beam generation, and a visiting scientist role at Tufts University, USA (2013-2014), working on plasmonic-photonic hybrid crystal sensors.

Research Interests

Dr. Bibbò’s research interests encompass a wide range of interdisciplinary fields, including sensors, photonics, fiber optics, MEMS, metamaterials, nanotechnology, artificial intelligence, neural networks, virtual reality, and augmented reality. He has led multiple projects involving CNN-based image classification, predictive modeling using Random Forest Regressor, and AI-driven motion analysis in healthcare. His work integrates fundamental engineering principles with advanced computational techniques to develop innovative solutions for biomedical and environmental challenges.

Awards

Dr. Bibbò has been recognized for his outstanding contributions to research and technology development. He was the winner of the Technologist I° competition at the Mediterranean University of Reggio Calabria. Additionally, he has been a fellow of the Engineering Research Council (FERC) and an active member of Frontiers in Neuroscience. His research has earned him invitations to prestigious international conferences and collaborations with leading scientific journals as a guest editor and reviewer.

Publications

Dr. Bibbò has authored several influential publications in high-impact journals.

Bibbò, L., et al. (2023). “Human Activity Recognition in Healthcare: A Machine Learning Approach.” MDPI Applied Sciences. Cited by 45 articles.

Bibbò, L., et al. (2022). “Development of AI-driven Motion Analysis for Biomedical Applications.” IEEE Access. Cited by 38 articles.

Bibbò, L., et al. (2021). “Nanophotonic Metasurfaces for Orbital Angular Momentum Beam Generation.” Journal of Optics. Cited by 56 articles.

Bibbò, L., et al. (2020). “Plasmonic Nanoparticles and Tunable Dielectric Matrix for Optical Sensing.” Journal of Physics D: Applied Physics. Cited by 72 articles.

Bibbò, L., et al. (2019). “Indoor Navigation System for Dementia Patients Using Augmented Reality.” Frontiers in Neuroscience. Cited by 33 articles.

Bibbò, L., et al. (2018). “Integration of MEMS Sensors for Real-Time Tracking in Smart Environments.” Nanotechnology. Cited by 41 articles.

Bibbò, L., et al. (2017). “Plasmonic-Photonic Hybrid Crystal Sensors for Biochemical Detection.” Journal of Optical Society of America B. Cited by 60 articles.

Conclusion

Dr. Luigi Bibbò’s career is marked by a dedication to advancing electronic and computer engineering through interdisciplinary research. His contributions to biomedical applications, nanotechnology, and artificial intelligence have positioned him as a leading researcher in his field. Through his extensive publication record, international collaborations, and innovative projects, he continues to push the boundaries of technology to improve healthcare, environmental monitoring, and human-computer interaction. His ongoing work at the Mediterranean University of Reggio Calabria and other institutions highlights his commitment to cutting-edge research and knowledge dissemination in engineering and applied sciences.