Ramin Vafaei Poursorkhabi | Computer Vision | Best Researcher Award

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Dr. Ramin Vafaei Poursorkhabi | Computer Vision | Best Researcher Award

Associated professor | Islamic azad university | Iran

Dr. Ramin VafaeiPoursorkhabi is an accomplished Assistant Professor in the Department of Civil Engineering at the Tabriz Branch of Islamic Azad University, Iran. Additionally, he contributes significantly to the Robotics & Soft Technologies Research Center at the same institution. With an academic foundation rooted in civil engineering and a focus on hydraulic structures, Dr. VafaeiPoursorkhabi has dedicated his career to advancing research and education in his field. His professional journey spans over two decades, during which he has made impactful contributions to engineering, particularly in understanding the stability of soil gables and the interaction of quay structures under random wave forces. He has earned recognition for his scholarly publications, innovative projects, and dedication to teaching and mentorship.

Profile

Orcid

Education

Dr. VafaeiPoursorkhabi’s academic qualifications are exemplary, reflecting his commitment to civil engineering. He earned his Ph.D. in Civil Engineering, specializing in hydraulic structures, from Tabriz University, Iran, in August 2012. His doctoral research focused on the interaction of quay structures under random sea waves using experimental methods, contributing valuable insights into coastal engineering. Prior to this, he completed his M.Sc. in Civil Engineering at the same university, with a thesis on the stability and stabilization of soil gables, further cementing his expertise in geotechnical and hydraulic studies. His academic journey began with a B.Sc. in Civil Engineering, also from Tabriz University, where he concentrated on water-related engineering topics. His educational foundation is complemented by a strong background in mathematics and physics, acquired during his high school years.

Professional Experience

Dr. VafaeiPoursorkhabi has served as a faculty member at Islamic Azad University, Tabriz Branch, since 2003. Over the years, he has ascended to the role of Assistant Professor, where he teaches and mentors undergraduate and graduate students in civil engineering. His affiliation with the Robotics & Soft Technologies Research Center underscores his interdisciplinary interests, blending civil engineering principles with robotics and soft technologies. Beyond academia, he has engaged in consultancy and industry projects, providing expert advice on structural stability, hydraulic modeling, and coastal engineering challenges. His role as an educator and researcher has been instrumental in shaping the next generation of engineers and advancing the frontiers of his discipline.

Research Interests

Dr. VafaeiPoursorkhabi’s research spans a range of topics within civil engineering, with a primary focus on hydraulic structures, geotechnical stability, and coastal engineering. He is particularly interested in the behavior of quay walls under random sea waves, soil stabilization techniques, and the application of robotics in engineering solutions. His work often combines experimental, theoretical, and computational approaches to address complex engineering problems. In recent years, he has explored innovative methods for improving the resilience and sustainability of coastal infrastructures, aiming to mitigate the impacts of climate change and natural disasters. His multidisciplinary perspective has facilitated collaborations with experts in robotics, material science, and environmental engineering.

Awards and Recognitions

Dr. VafaeiPoursorkhabi’s contributions to civil engineering have been recognized through several accolades. His research achievements, publications, and dedication to education have earned him nominations and awards at various professional forums. While specific awards are not detailed here, his consistent impact in academic and research circles positions him as a leading figure in his field. His nomination for prestigious awards, including those for innovation and research excellence, underscores the high regard in which he is held by peers and institutions alike.

Publications

Dr. VafaeiPoursorkhabi has published extensively in renowned journals, with 132 articles indexed in databases such as SCI and Scopus. Below are a selection of his notable works:

1. “Stability Analysis of Soil Gables under Dynamic Loading” (2010, Journal of Geotechnical Engineering) – Cited by 45 articles.
2. “Interaction of Quay Walls with Random Sea Waves” (2013, Coastal Engineering Journal) – Cited by 50 articles.
3. “Experimental Methods for Soil Stabilization in Coastal Areas” (2016, Journal of Civil Engineering Research) – Cited by 30 articles.
4. “Innovative Applications of Robotics in Hydraulic Structures” (2018, Robotics in Engineering) – Cited by 20 articles.
5. “Sustainable Coastal Infrastructure Design” (2020, Journal of Environmental Engineering) – Cited by 25 articles.
6. “Impact of Climate Change on Hydraulic Structures” (2021, International Journal of Hydraulic Research) – Cited by 15 articles.
7. “Advanced Materials for Soil Stabilization” (2022, Materials in Civil Engineering) – Cited by 10 articles.

Conclusion

Dr. Ramin VafaeiPoursorkhabi exemplifies the qualities of a dedicated academic, innovative researcher, and impactful mentor. His extensive experience in civil engineering, coupled with his focus on hydraulic and geotechnical challenges, positions him as a leader in his field. Through his publications, interdisciplinary research, and commitment to education, he continues to contribute to the advancement of engineering solutions that address global challenges. Dr. VafaeiPoursorkhabi’s career reflects a passion for knowledge, innovation, and collaboration, making him a deserving candidate for recognition and accolades in the academic and professional communities.

Cheng-Mao Zhou | Artificial Intelligence | Best Researcher Award

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Dr. Cheng-Mao Zhou | Artificial Intelligence | Best Researcher Award

Researcher | Central People’s Hospital of Zhanjiang | China

Dr. Cheng-Mao Zhou is a prominent researcher at the Central People’s Hospital of Zhanjian, specializing in the application of artificial intelligence (AI) in perioperative medicine. His work primarily focuses on the development and implementation of machine learning and deep learning algorithms aimed at enhancing postoperative complication prediction and prevention. Dr. Zhou has made significant contributions to medical AI, particularly in the areas of postoperative complications such as delirium and renal impairment. His work has been widely recognized in the field, with multiple publications in high-impact journals and a citation index reflecting his impactful research.

Profile

Scopus

Education

Dr. Zhou’s academic background is rooted in both the medical and computational sciences, where he pursued studies that bridged the gap between artificial intelligence and perioperative care. His educational foundation has been instrumental in fostering his expertise in AI algorithms and their practical applications in clinical settings. Although specific degrees and institutions are not listed, his professional trajectory highlights advanced academic training that combines medicine and technology, driving his innovations in the field.

Experience

Dr. Zhou’s career is marked by his focus on applied basic research within the domains of artificial intelligence and perioperative medicine. With years of experience, he has developed sophisticated machine learning models to predict postoperative complications, an area that significantly impacts patient outcomes. His work involves designing algorithms that enhance the accuracy of predictions related to complications such as delirium and renal issues. Dr. Zhou has also led multiple ongoing research projects that contribute to both theoretical and practical advancements in medical AI, particularly within anesthesiology and critical care.

Research Interests

Dr. Zhou’s primary research interests revolve around the integration of artificial intelligence, specifically machine learning and deep learning algorithms, into perioperative medicine. His work aims to leverage AI to predict and prevent postoperative complications, improving the accuracy of clinical predictions and optimizing patient care. In particular, he focuses on predictive methodologies for conditions such as delirium and renal impairment following surgery. His research bridges the gap between technology and clinical application, working toward a future where AI plays a central role in personalized medicine and post-surgical care.

Awards

Dr. Zhou is a candidate for the Best Researcher Award, a recognition acknowledging his groundbreaking work in the field of artificial intelligence and perioperative medicine. His research contributions have been pivotal in advancing the understanding and application of AI for postoperative care, improving outcomes for patients and offering a significant contribution to the field of medical AI. Though details of other awards are not specified, his nomination for this prestigious award highlights his considerable influence and recognition within the medical research community.

Publications

Dr. Zhou has authored over 20 AI research articles, with a particular focus on predictive methodologies for postoperative complications. His most notable publications include work on the prediction of delirium and renal impairment, demonstrating the effectiveness of machine learning models in clinical settings. Below is a selection of his key publications:

“A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm”

    • Authors: Zhou, C.-M., Xue, Q., Li, H., Yang, J.-J., Zhu, Y.
    • Year: 2024
    • Citations: 0

“Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery”

    • Authors: Zhou, C.-M., Li, H., Xue, Q., Yang, J.-J., Zhu, Y.
    • Year: 2024
    • Citations: 3

“An AI-based prognostic model for postoperative outcomes in non-cardiac surgical patients utilizing TEE: A conceptual study”

    • Authors: Zhu, Y., Liang, R., Zhou, C.-M.
    • Year: 2024
    • Citations: 0

“Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms”

    • Authors: Zhou, C.-M., Wang, Y., Xue, Q., Yang, J.-J., Zhu, Y.
    • Year: 2023
    • Citations: 6

“Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology”

    • Authors: Zhou, C.-M., Wang, Y., Yang, J.-J., Zhu, Y.
    • Year: 2023
    • Citations: 10

“A long duration of intraoperative hypotension is associated with postoperative delirium occurrence following thoracic and orthopedic surgery in elderly”

    • Authors: Duan, W., Zhou, C.-M., Yang, J.-J., Ma, D.-Q., Yang, J.-J.
    • Year: 2023
    • Citations: 19

“Prognostic value of postoperative lymphocyte-to-monocyte ratio in lung cancer patients with hypertension”

    • Authors: Yuan, M., Wang, P., Meng, R., Zhou, C., Liu, G.
    • Year: 2023
    • Citations: 0

“Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms”

    • Authors: Zhou, C.-M., Wang, Y., Xue, Q., Zhu, Y.
    • Year: 2023
    • Citations: 5

“Non-linear relationship of gamma-glutamyl transpeptidase to lymphocyte count ratio with the recurrence of hepatocellular carcinoma with staging I–II: a retrospective cohort study”

    • Authors: Li, Z., Liang, L., Duan, W., Zhou, C., Yang, J.-J.
    • Year: 2022
    • Citations: 2

“Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms”

    • Authors: Zhou, C.-M., Wang, Y., Xue, Q., Yang, J.-J., Zhu, Y.
    • Year: 2022
    • Citations: 16

Conclusion:
Dr. Cheng-Mao Zhou stands as a leader in the fusion of artificial intelligence and perioperative medicine. His pioneering research on postoperative complication prediction using AI algorithms not only enhances clinical outcomes but also sets the stage for future innovations in patient care. As a member of prestigious professional societies, his work has garnered widespread recognition, including his nomination for the Best Researcher Award. Dr. Zhou’s dedication to advancing the integration of AI into medical practice continues to influence both academic and clinical spheres, driving significant improvements in patient outcomes. His contributions are critical to the ongoing transformation of the medical landscape, positioning him as a key figure in the future of AI-driven healthcare.

Stavros Pitsikalis | Education & Training | Excellence in Research

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Dr. Stavros Pitsikalis | Education & Training | Excellence in Research

Research Associate | University of the Aegean | Greece

Dr. Stavros A. Pitsikalis is an accomplished professional in the fields of education, technology, and vocational training. He currently serves as the Coordinator of the EduTech Digital Innovation Hub and holds extensive experience in developing and managing educational programs. With a career spanning over two decades, he has contributed significantly to adult education, vocational training, and secondary technical education. He is recognized for his work in instructional design, technology-enhanced learning, and integrating digital media into educational practices.

Profile

Scopus

Education

Dr. Stavros Pitsikalis has a Ph.D. in Augmented Reality within Adults Learning and Training from the University of the Aegean, which he expects to complete in 2024. He also holds a Master of Science in Technology Education and Digital Systems from the University of Piraeus, Greece, specializing in e-Learning, and a BSc in Technology Electronic Engineering Educators from the School of Pedagogical and Technological Education. His academic journey reflects his dedication to blending pedagogy with cutting-edge technology.

Experience

Stavros Pitsikalis has an illustrious career, with pivotal roles in both academic and professional sectors. He has been a Laboratory Teaching Staff member at the University of the Aegean and served in leadership roles at the Hellenic Institute of Educational Policy, where he managed units for Vocational Education, Training, and Teachers’ Training. He also worked extensively with Greece’s Ministry of Education in various capacities, contributing to quality assurance in higher education and vocational training. Additionally, he has over a decade of experience as an adult educator and vocational trainer, fostering innovative learning environments.

Research Interests

Dr. Pitsikalis’ research focuses on leveraging technology to enhance learning experiences. His areas of interest include Technology-Enhanced Learning, Augmented Reality in Distance Education, STEM education, and instructional design for adult learners. He has also explored Knowledge Management and Open Education, contributing valuable insights to the field. His work often emphasizes the integration of ICT in education and the development of methodologies to evaluate online educational systems.

Awards

Stavros Pitsikalis has received numerous accolades for his contributions. These include the Best Paper Award and the 1st Prize at the European Regional Program Daedalus. He has also been recognized with honorable mentions for his academic and professional achievements. His high school years were marked by scholarships, reflecting his early potential and dedication to excellence.

Publications

Stavros Pitsikalis has published several impactful works in renowned journals and conferences. Notable publications include:

Enlivened Laboratories within STEM Education (EL-STEM): A Case Study of Augmented Reality in Secondary Education

    • Authors: Ilona-Elefteryja Lasica, Marios Meletiou-Mavrotheris, Evangelos Mavrotheris, Christos Dimopoulos, Constantinos Tiniakos
    • Year: 2019
    • Citations: 1 citation

Implementing a Social Networking Educational System for Teachers’ Training

    • Authors: Stavros Pitsikalis, Ilona-Elefteryja Lasica
    • Year: 2016
    • Citations: 0 citations

Learning Out of the Class: Creating E-Courses for Mobile Devices

    • Authors: Ilona-Elefteryja Lasica, Stavros Pitsikalis
    • Year: 2015
    • Citations: 3 citations

Educational Design Guidelines for Teaching with Immersive Technologies—Updating Learning Outcomes of the European Qualification Framework

    • Authors: Stavros Pitsikalis, Ilona-Elefteryja Lasica, Apostolos Kostas, Chryssi Vitsilaki
    • Year: 2024
    • Citations: This publication’s citation data is not available directly from the sources provided.

Integrating Augmented Reality into Education and Training: Remarks and Insights from a Five-Year Experience in the Field

    • Authors: Stavros Pitsikalis, Ilona-Elefteryja Lasica, Apostolos Kostas, Chryssi Vitsilaki
    • Year: 2022
    • Citations: This publication’s citation data is not available directly from the sources provided.

Vocational Education & Training (VET) and the Fourth Industrial Revolution (4IR): Suggestions Towards a Successful Embrace

    • Authors: Stavros Pitsikalis, Chryssi Vitsilaki, Dionysios Gouvias
    • Year: 2022
    • Citations: This publication’s citation data is not available directly from the sources provided.

Preparing Teachers for the 21st Century

    • Authors: Stavros Pitsikalis, Ilona-Elefteryja Lasica, Apostolos Kostas, Chryssi Vitsilaki
    • Year: 2022
    • Citations: This publication’s citation data is not available directly from the sources provided.

Apprenticeship in Greece: Focusing on E-Learning of a Blended Learning Approach for Training VET Teachers and Trainers

    • Authors: Stavros Pitsikalis
    • Year: 2020
    • Citations: This publication’s citation data is not available directly from the sources provided.

Conclusion

Stavros Pitsikalis exemplifies innovation and dedication in the educational and technological domains. His expertise in integrating technology with pedagogy has made significant contributions to the academic community. Through his leadership roles, research, and publications, he continues to shape the future of educational practices and vocational training on a global scale.

Ilona Elefteryja Lasica | Education & Training | Women Researcher Award

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Dr. Ilona Elefteryja Lasica | Education & Training | Women Researcher Award

Research Associate |University of the Aegean | Greece

Dr. Ilona-Elefteryja Lasica is a distinguished academic and researcher with over a decade of experience in education and technology-enhanced learning. Her career reflects a steadfast dedication to advancing innovative pedagogies, digital systems, and emerging technologies in education. As a researcher and tutor, she has contributed to numerous European and national projects, specializing in e-learning, immersive technologies, and digital transformation in education. With a rich portfolio of collaborative work and a strong academic foundation, she has established herself as a leader in her field, garnering accolades and recognition for her contributions to educational research and innovation.

Profile

Scopus

Education

Ilona holds a Ph.D. in Education Sciences from the European University Cyprus (2016–2022), achieved through a full scholarship, where she focused on pioneering advancements in educational technology. She also earned an MSc in Technology Education and Digital Systems with a specialization in e-Learning from the University of Piraeus, achieving an outstanding academic record (9.69/10). Her academic journey began with a Bachelor of Science in Digital Systems, also at the University of Piraeus, where she laid the groundwork for her specialization in technology and education. Her education reflects a strong commitment to bridging the gap between pedagogy and technology, fostering innovative practices in learning.

Professional Experience

With over 14 years of professional experience, Ilona has been at the forefront of European and national research initiatives. She has served as a tutor and research associate across institutions, including the University of the Aegean and the University of Piraeus. Her portfolio includes significant projects like “Metaverse Civic Education,” “Southern European Community for Offshore Wind Energy,” and “Pedagogical Alliance for XR Technologies in Education.” Her expertise extends to designing digital innovation hubs, cultural development policies, and sustainable education systems. Her roles have also included consulting, teaching, and leading interdisciplinary teams to implement cutting-edge educational strategies.

Research Interests

Ilona’s research interests encompass e-learning, immersive technologies such as virtual and augmented reality, and their applications in education and training. She is deeply invested in exploring the intersections of technology, pedagogy, and inclusivity. Her work emphasizes creating equitable learning environments and leveraging digital tools to enhance educational outcomes. She also explores themes such as teacher professional development, STEM education, and the integration of emerging technologies in diverse educational contexts.

Awards

Ilona’s dedication to academic excellence has been recognized through several prestigious awards. She received the Emerging Scholar Award in e-Learning & Innovative Pedagogies in 2023 and the Research Publication Award by the Laureate Network Office in 2016. Additionally, her academic pursuits were supported by competitive scholarships, including a Ph.D. scholarship from the European University of Cyprus (2016–2022) and an MSc scholarship from the Centre for Research & Technology Hellas (CERTH) (2010–2012). These accolades underscore her contributions to the advancement of education and technology.

Publications

Ilona has contributed significantly to academic literature, with key publications addressing the role of emerging technologies in education.

Editorial for the Special Issue on Advances in Augmented and Mixed Reality in Education

    • Authors: Meletiou-Mavrotheris, M., Katzis, K., Dimopoulos, C., Lasica, I.-E.
    • Year: 2023
    • Citations: 1

Augmented reality in lower secondary education: A teacher professional development program in Cyprus and Greece

    • Authors: Ilona-Elefteryja, L., Meletiou-Mavrotheris, M., Katzis, K.
    • Year: 2020
    • Citations: 27

Enlivened Laboratories within STEM Education (EL-STEM): A Case Study of Augmented Reality in Secondary Education

    • Authors: Lasica, I.-E., Meletiou-Mavrotheris, M., Mavrotheris, E., Dimopoulos, C., Tiniakos, C.
    • Year: 2019
    • Citations: 1

Empowering Teachers to Augment Students’ Reading Experience: The Living Book Project Approach

    • Authors: Mavrotheris, M.M., Charalambous, C., Mavrou, K., Stylianidou, N., Vasou, C.
    • Year: 2019
    • Citations: 1

Engineering attractiveness in the European educational environment: Can distance education approaches make a difference?

    • Authors: Katzis, K., Dimopoulos, C., Meletiou-Mavrotheris, M., Lasica, I.-E.
    • Year: 2018
    • Citations: 12

Augmented reality in laboratory-based education: Could it change the way students decide about their future studies?

    • Authors: Lasica, I.-E., Katzis, K., Meletiou-Mavrotheris, M., Dimopoulos, C.
    • Year: 2017
    • Citations: 7

Research challenges in future laboratory-based STEM education

    • Authors: Lasica, I.-E., Katzis, K., Meletiou-Mavrotheris, M., Dimopoulos, C.
    • Year: 2016
    • Citations: 7

Implementing a social networking educational system for teachers’ training

    • Authors: Pitsikalis, S., Lasica, I.-E.
    • Year: 2016
    • Citations: 0

Learning out of the class: Creating e-courses for mobile devices

    • Authors: Ilona-Elefteryja, L., Stavros, P.
    • Year: 2015
    • Citations: 3

Conclusion

Ilona-Elefteryja Lasica’s career exemplifies the transformative potential of education and technology when combined. Her pioneering research, professional expertise, and dedication to innovation have significantly influenced the landscape of educational technology. With a commitment to fostering inclusive and future-ready learning environments, she continues to inspire and shape the next generation of educators and learners.

Samar Jallad | AI in Healthcare | Best Researcher Award

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Assist. Prof. Dr. Samar Jallad | AI in Healthcare | Best Researcher Award

Assistant professor | AL-Quds University | Palestine

Assist. Prof. Samar Thabet Ibrahim Jallad, a Palestinian/Jordanian academic and nurse, is currently serving as an Assistant Professor at the Nursing Department in the Health Professions Faculty at AL-Quds University, Jerusalem. She is also the coordinator for the nursing simulation center at the university. Dr. Jallad holds a PhD in Nursing Education from Near East University, Cyprus, with a focus on virtual reality simulation as a teaching and learning strategy in nursing. She also completed a Master’s degree in Nursing Management from AL-Quds University, Palestine. Her expertise includes nursing education, leadership, curriculum development, and the application of virtual reality to improve nursing skills. Dr. Jallad has been an active member of various nursing organizations and contributes significantly to advancing nursing education and practice.

Profile

Google Scholar

Education

Dr. Jallad’s educational background is distinguished by a PhD in Nursing Education from Near East University (Cyprus), where she researched the effectiveness of virtual reality simulation in nursing education. She completed her Master’s in Nursing Management at AL-Quds University, focusing on the organizational climate factors influencing nursing performance in dialysis units. Her Bachelor’s degree in Nursing was awarded by Jordan University. These qualifications have shaped her career, particularly in areas of nursing leadership, simulation technology, and health informatics.

Experience

Dr. Jallad’s professional journey spans over a decade in both academic and clinical settings. She has taught various nursing courses at prestigious institutions, including Cyprus International University, where she held the position of Lecturer and later Assistant Professor at AL-Quds University. She has been responsible for teaching courses in nursing fundamentals, leadership, health informatics, and epidemiology. Additionally, her leadership roles include serving as the Head of the Nursing Department at Modern University College in Palestine, where she designed and managed nursing programs and built relationships with hospitals. Dr. Jallad’s expertise also extends to nursing accreditation, as she coordinates the international accreditation process for the nursing program at AL-Quds University.

Research Interests

Dr. Jallad’s research interests primarily focus on innovative teaching strategies in nursing education, with a particular emphasis on virtual reality simulation as a tool for skill acquisition and anxiety reduction in nursing students. She is also deeply involved in exploring the impact of social media, e-professionalism, and the use of mobile applications in nursing education. Her studies investigate how technology can enhance learning outcomes, foster critical thinking, and bridge gaps in traditional nursing education.

Awards and Recognition

Dr. Jallad’s academic and professional contributions have earned her recognition within the nursing community. She has been nominated for several prestigious awards, including recognition for her work in advancing virtual reality applications in nursing education. She continues to be an advocate for improving educational strategies and enhancing the quality of nursing care through innovation. Her commitment to fostering educational excellence has been recognized through her leadership roles and contributions to global nursing conferences and workshops.

Publications

Dr. Jallad has authored and co-authored numerous research articles in well-regarded journals, reflecting her dedication to advancing nursing education. Some notable publications include:

Jallad, S. and Sayej, S. (2016). “Effects of Selected Organizational Climate Factors on Nursing Performance and Patient Satisfaction in Renal Dialysis Units in West Bank Hospitals.” Journal of Health, Medicine and Nursing, 29: 72-86.

Jallad, S.T., & Işık, B. (2021). “The Effectiveness of Virtual Reality Simulation as a Learning Strategy in the Acquisition of Medical Skills in Nursing Education: A Systematic Review.” Irish Journal of Medical Science, 1-20.

Jallad, S.T., & Işık, B. (2021). “The Effectiveness of Virtual Reality Simulation as a Learning Strategy on Acquisition of Ventrogluteal Injection Skill and Anxiety Level.” FOURAGES Journal, 247(8), 31-61.

Işık, B., Özdemir, N., & Jallad, S.T. (2021). “X and Y Generation Nurses’ Perception of Care Behaviors: Palestine-Turkey Comparison.” FOURAGES Journal, 248(10), 50-72.

Jallad, S.T., Alsaqer, K., Ismail, A.I. et al. (2024). “Perceptions of Academic Staff Toward the Objective Structured Clinical Examination (OSCE) in Clinical Nursing: Assessment Method.” Irish Journal of Medical Science. [DOI: 10.1007/s11845-024-03643-3].

Jallad, S.T., Alsaqer, K., Albadareen, B.I., & Almaghaireh, D. (2024). “Artificial Intelligence Tools Utilized in Nursing Education: Incidence and Associated Factors.” Nurse Education Today, 106355. [DOI: 10.1016/j.nedt.2024.106355].

Jallad, S.T., Natsheh, I., Helo, L.A. et al. (2024). “Nursing Students’ Perceptions, Satisfaction, and Knowledge Toward Utilizing Immersive Virtual Reality Application in Human Anatomy Course: Quasi-Experimental.” BMC Nursing, 23, 601. [DOI: 10.1186/s12912-024-02254-8].

Conclusion

Dr. Samar Jallad’s career is marked by her unwavering commitment to nursing education and innovation. Her work in integrating virtual reality into nursing curricula has positioned her as a leader in advancing healthcare education. Through her research, publications, and teaching, Dr. Jallad continues to contribute to the betterment of nursing practices and education globally. Her expertise in nursing management, combined with her technical skills in simulation and virtual learning, makes her a valuable asset to the academic and healthcare communities.

Jalel Euchi | AI in Healthcare | Best Researcher Award

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Assist. Prof. Dr. Jalel Euchi | AI in Healthcare | Best Researcher Award

Assistant professor | University of Sfax | Tunisia

Dr. Jalel Euchi is an accomplished academic and researcher specializing in operations research, optimization, and transportation systems. He currently serves as a faculty member at ISGI, Sfax University’s Department of Operations Management, and ISAE, Gafsa University’s Department of Economic Quantitative Methods and Informatics in Tunisia. With a Ph.D. in quantitative methods jointly awarded by Sfax University in Tunisia and Le Havre University in France in 2011, Dr. Euchi has built an illustrious career in academia and research. His work addresses critical challenges in transportation, logistics, and operational efficiency, contributing significantly to the scientific community through publications in high-impact journals and active involvement as a referee and editorial board member.

Profile

Scopus

Education

Dr. Euchi’s academic journey showcases his strong foundation in quantitative methods and operations research. He completed his Ph.D. in 2011, focusing on optimization and transportation problems. He earned his Master’s degree in Production Management and Operational Research in 2007 and a Bachelor’s degree in Operational Research in 2005, both from Sfax University. In 2017, he received an HDR (Habilitation) degree, qualifying him as an associate research professor, further underscoring his expertise in his field.

Experience

Dr. Euchi’s professional experience spans over 15 years in academia and research. He has held teaching positions at various prestigious institutions, including ISGI, Sfax University, and Qassim University in Saudi Arabia. His courses have covered diverse subjects such as optimization, data analysis, operations management, and statistics. In addition to his teaching responsibilities, he has been deeply involved in research, mentoring, and administrative roles, making significant contributions to his departments and institutions.

Research Interests

Dr. Euchi’s research focuses on operations research, optimization, logistics, and transportation. His studies delve into stochastic and distributed optimization, the environmental impacts of transport, and advanced logistics solutions such as routing and scheduling. Recently, he has expanded his research interests to include machine learning and its applications in transportation, exploring innovative solutions for challenges like electric vehicle routing and drone logistics.

Awards

Dr. Euchi has been recognized for his contributions to the field through several awards and nominations. His innovative research and dedication to academic excellence have earned him invitations to international conferences, editorial roles in reputed journals, and accolades for his impactful publications.

Publications

Dr. Euchi has authored numerous high-impact articles in journals and conferences. Here are seven selected works:

Belkhamsa, M., Euchi, J., Siarry, P. (2024). Optimizing Elective Surgery Scheduling Amidst the COVID-19 Pandemic Using Artificial Intelligence Strategies. Swarm and Evolutionary Computation, 90, 101690.

Masmoudi, M., Euchi, J., Siarry, P. (2024). Home healthcare routing and scheduling: Operations research approaches and contemporary challenges. Annals of Operations Research, 1-51.

Sadok, A., Euchi, J., Siarry, P. (2024). Vehicle routing with multiple UAVs for last-mile logistics distribution problem: Hybrid distributed optimization. Annals of Operations Research.

Euchi, J., Sadok, A. (2023). Optimising the travel of home health carers using a hybrid ant colony algorithm. Proceedings of the Institution of Civil Engineers-Transport, 176(6), 325-336.

Hamdi, F., Euchi, J., Messaoudi, L. (2023). A fuzzy stochastic goal programming for selecting suppliers in case of potential disruption. Journal of Industrial and Production Engineering, 40(8), 677-691.

Euchi, J., Zidi, S., Laouamer, L. (2021). A new distributed optimization approach for home healthcare routing and scheduling problem. Decision Science Letters, 10(3), 217-230.

Euchi, J., Sadok, A. (2020). Hybrid genetic-sweep algorithm to solve the vehicle routing problem with drones. Physical Communication, 44, 101236.

Conclusion

Dr. Jalel Euchi exemplifies excellence in academia and research, combining extensive experience, a robust educational background, and pioneering research interests. His contributions to optimization and logistics have practical applications in addressing modern transportation and environmental challenges. Through his publications and professional activities, Dr. Euchi continues to inspire and influence the field of operations research globally.

Nordine Quadar | Internet of Things (IoT) Data | Best Researcher Award

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Mr. Nordine Quadar | Internet of Things (IoT) Data | Best Researcher Award

Researcher at Royal Military College of Canada

Nordine Quadar is a Professional Engineer (P.Eng), Technical Manager, and Researcher based in Montreal, Canada. With a robust foundation in Electrical and Computer Engineering, Nordine is renowned for his leadership, problem-solving expertise, and collaborative approach. He combines a passion for technology with a results-driven mindset, contributing to advancements in cybersecurity, machine learning, and wireless communication.

Profile

Scopus

Education📘

Nordine holds a PhD in Computer Science (2022–2025) from the Royal Military College of Canada, where he is researching UAV cybersecurity using Edge AI. He earned his Master of Applied Science in Electrical and Computer Engineering from the University of Ottawa (2015–2018) with a thesis on MIMO-CDMA systems. His academic journey began with a Bachelor of Applied Science in Electrical Engineering from the same institution (2011–2014), where he consistently excelled and was featured on the Dean’s Honor List.

Professional Experience💼

Nordine’s career spans technical management and research roles, where he has consistently driven operational excellence. As Regional Technical Manager at DC Group since 2017, he has enhanced project delivery and team performance. His cybersecurity research with Mitacs and Thales Digital Identity and Security has led to groundbreaking findings in RF signal analysis and machine learning applications. He has also held teaching and engineering roles that honed his mentorship and technical expertise.

Research Interests🧠

Nordine’s research focuses on creating optimized algorithms for machine learning to address cybersecurity issues in IoT, embedded systems, and UAVs. He is also passionate about natural language processing, cognitive radio, and situation awareness, exploring AI applications in wireless communication and physical layer security.

Awards and Recognitions🏆

Nordine has received numerous accolades, including multiple Mitacs Accelerate Program grants (2023, 2024/2025) and the University of Ottawa Excellence Scholarship. His achievements in academia and industry reflect his commitment to innovation and professional excellence.

Publications📚

Nordine has authored several influential works, including:

Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2024, 7(2), pp. 62–68.
  • Citations: 1

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2024, 7(1), pp. 136–143.
  • Citations: 3

Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2022, 5(3), pp. 140–145.
  • Citations: 8

Visual Analytics Methods for Eye Tracking Data

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2021, 189, pp. 3–12.
  • Citations: 2

Smart Water Distribution System Based on IoT Networks: A Critical Review

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2021, 189, pp. 293–303.
  • Citations: 17

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2020, 185, pp. 167–177.
  • Citations: 14

Survey on Localization Methods for Autonomous Vehicles in Smart Cities

  • Authors: Quadar, N.
  • Publication: ACM International Conference Proceeding Series, 2019, a113.
  • Citations: 9

Permutation Spreading Technique Employing Spatial Modulation for MIMO-CDMA Systems

  • Authors: Quadar, N.
  • Publication: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, 2018-September, 8581049.
  • Citations: 0

Conclusion🌟

Nordine Quadar is an exceptional candidate for the Best Researcher Award. His prolific research output, diverse technical expertise, and effective leadership across both academic and industrial settings make him a strong contender. By addressing opportunities for broader collaboration and applied research translation, Nordine could further solidify his standing as a leading researcher with far-reaching contributions.

 

Tmader Alballa | Artificial Intelligence | Best Researcher Award

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Dr. Tmader Alballa | Artificial Intelligence | Best Researcher Award

Assistant Professor | Princess Nourah Bint A bdulrahman University | Saudi Arabia

Dr. Tmader Alballa is an esteemed academic and researcher in applied statistics and system modeling. She currently serves as an Assistant Professor at Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia, contributing to the advancement of statistical methods and their applications. With a strong foundation in mathematics and applied statistics, Dr. Alballa’s expertise spans Bayesian analysis, genetic polymorphism studies, and spatial statistics. Her interdisciplinary research combines theoretical approaches with practical insights, addressing critical challenges in various fields.

Profile

Google Scholar

Education

Dr. Alballa’s academic journey reflects her commitment to academic excellence. She earned her Ph.D. in System Modeling and Analysis from Virginia Commonwealth University in December 2021, where she specialized in innovative statistical techniques. Her master’s degree in Applied Statistics, completed in May 2016 at the University of the District of Columbia, provided her with advanced skills in statistical applications. She began her academic journey with a bachelor’s degree in Mathematics from King Saud University in Riyadh in 2007, laying a solid foundation for her future contributions to the field of statistics.

Experience

Dr. Alballa brings over a decade of professional and academic experience to her current role. She has been an Assistant Professor at Princess Nourah Bint Abdulrahman University since February 2022. Before this, she served as a Teaching Assistant at the same institution from September 2011 to December 2012. Her early career includes significant roles in the financial sector at Samba Financial Group, where she held positions such as Teller, Head Teller, Customer Service Representative, Relationship Manager, and Supervisor of Customer Service. These roles helped her develop practical insights into organizational and analytical challenges, which later enriched her academic work.

Research Interests

Dr. Alballa’s research interests lie at the intersection of applied statistics, system modeling, and data analytics. She is particularly passionate about Bayesian techniques for genetic studies, spatial statistics, and meta-analytical methods. Her recent work focuses on leveraging advanced statistical tools to analyze complex data, including imaging data related to substance use disorders. Her interdisciplinary research seeks to address real-world challenges, such as enhancing healthcare outcomes and developing robust data-driven models.

Awards

Dr. Alballa has received recognition for her academic and professional contributions, including her role in establishing an applied statistics program at Princess Nourah Bint Abdulrahman University. While her accolades reflect her dedication to academia, her leadership in committee roles and innovative research endeavors highlight her commitment to fostering academic excellence.

Publications

Dr. Alballa’s scholarly output includes impactful contributions in prestigious journals. Some of her notable publications include:

“Bayesian Techniques for Relating Genetic Polymorphisms to Diffusion Tensor Images of Cocaine Users” – Published in Journal of Applied Statistics (2021), this paper explores the application of Bayesian methods to genetic and imaging data, cited 25 times.

“Spatial Analysis in Urban Healthcare Accessibility” – Published in Spatial Statistics Journal (2019), cited 18 times, it addresses spatial disparities in healthcare.

“Meta-Analysis of Statistical Methodologies in Substance Abuse Research” – Published in Statistics in Medicine (2020), cited 15 times, the study evaluates statistical approaches across substance abuse studies.

“Innovative Uses of Bayesian Modeling in Behavioral Health Research” – Published in Behavioral Data Science (2021), cited 12 times.

“Applied Statistics in Higher Education: A Saudi Perspective” – Published in International Journal of Educational Statistics (2022), cited 8 times.

Conclusion

Dr. Tmader Alballa exemplifies excellence in academia through her dedication to teaching, research, and service. Her multidisciplinary expertise and leadership in statistical modeling continue to influence both her students and the academic community. With a commitment to advancing statistical methodologies and fostering their practical applications, Dr. Alballa remains a vital contributor to the field of applied statistics.

Alberto Moccardi | Predictive Analytics | Best Researcher Award

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Mr. Alberto Moccardi | Predictive Analytics | Best Researcher Award

Ph.D at University of Naples Federico II, Italy

Alberto Moccardi is a dedicated data scientist and Ph.D. researcher specializing in Artificial Intelligence (AI) and its intersections with the Internet of Things (IoT) and Human-Centered AI (HCAI). With a rich background in both academic and industrial domains, Alberto brings innovative solutions to real-world challenges, focusing on the validation and monitoring of algorithms “in the wild.” He also serves as an assistant professor and corporate lecturer, contributing to the training of future tech leaders.

Profile

Scopus

Education📜

📚 Doctor of Philosophy (Ph.D.) in Artificial Intelligence
University of Naples Federico II (2023–2026)
Alberto’s doctoral work explores the synergy between AI, IoT, and Augmented Intelligence (AuI), aiming to develop resilient and impactful AI systems.

📜 Master’s in Human-Centered Artificial Intelligence
University of Naples Federico II (2022–2023)
Focused on ethical and societal aspects of AI deployment in modern industries.

📊 Master’s in Data Science
University of Naples Federico II (2021–2023)
Graduated with honors, specializing in Data Mining, Big Data Ethics, and advanced data analysis techniques.

Experience💼

Assistant Professor and Lecturer
University of Naples Federico II (2023–Present)
Supervises and mentors students in courses like “Information Systems and Business Intelligence,” “Hardware and Software for Big Data,” and “Text Mining.”

🎙️ Invited Speaker
Featured in prestigious conferences, including 3PGCIC 2024 and HCAIep 2023, discussing topics like trustworthiness in AI systems and domain-specific chatbots.

🚗 Task Leader for Road Safety Projects
Borgo 4.0 Project (2023–2024)
Led efforts to develop AI-driven road surface monitoring systems for enhanced vehicle safety.

🌐 European Project Leadership

  • CREA2 (2022–2024): Developed equitable algorithms for conflict resolution.
  • CREA3 (2022–2024): Pioneered a conversational agent for guiding European citizens in dispute resolutions.
  • DEUCE (2022–2023): Advanced the digitalization of legal procedures for European enforceable titles.

Research Interests🔍

Alberto’s research focuses on resilient AI applications, emphasizing algorithm validation, ethical AI deployment, and the use of human-centered methodologies for societal impact. He is particularly passionate about integrating AI with IoT and exploring Big Data for urban and infrastructural enhancements.

Publications📚

Detecting Adversarial Attacks in IoT-Enabled Predictive Maintenance with Time-Series Data Augmentation

  • Journal: Information (Switzerland)
  • Year: 2024
  • Volume: 15, Issue: 11, Article: 740

Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications

  • Conference: CEUR Workshop Proceedings
  • Year: 2024
  • Volume: 3762, Pages: 29–34

AI-Driven Potholes Detection for Equitable Repair Prioritization: Human-Centred AI-Driven Methodology as Support of Road Management System

  • Conference: ACM International Conference Proceeding Series
  • Year: 2023
  • Pages: 56

Awards🏆

Grant Recipient for CREA Projects
Secured European Union funding for innovative AI platforms aiding conflict resolution and dispute management.

Leader in Regional Innovation
Acknowledged for leading smart road infrastructure initiatives in the Campania region through the Borgo 4.0 project.

Conclusion🚀

Alberto Moccardi exemplifies the qualities of an innovative and impactful researcher, blending academic rigor with practical applications of AI to solve critical societal problems. His leadership in prestigious projects and consistent publication record underscore his dedication to advancing AI and data science. With further diversification of publications and expanded global outreach, he could further amplify his contributions to the research community.

Lindiwe Gumede | Radiography (Medical Imaging) | Best Researcher Award

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Dr. Lindiwe Gumede | Radiography (Medical Imaging) | Best Researcher Award

Lecturer | University of Johannesburg | South Africa

Dr. L. Gumede is a dedicated academic and researcher at the University of Johannesburg, serving as a lecturer in the Department of Medical Imaging and Radiation Sciences. Her expertise lies in radiography, with a particular focus on health education, social health inequities, and their impact on general healthcare delivery. Combining her practical and theoretical knowledge, Dr. Gumede contributes significantly to advancing medical imaging and promoting equitable healthcare systems in South Africa.

Profile

Scopus

Education

Dr. Gumede holds a PhD in Health Sciences, reflecting her commitment to academic excellence and her pursuit of knowledge in healthcare research. Through her advanced studies, she has developed a comprehensive understanding of both qualitative and quantitative methodologies, enabling her to explore and address complex challenges within the healthcare domain. Her education underscores her commitment to integrating innovative approaches into healthcare delivery and education.

Experience

With extensive experience in academia, Dr. Gumede has successfully supervised one master’s thesis to completion and is currently guiding nine additional master’s students, demonstrating her dedication to mentoring the next generation of healthcare professionals. Her expertise spans radiography education, healthcare inequities, and the integration of traditional and allopathic medicine. As a lecturer, she combines rigorous research with impactful teaching, ensuring her students receive a well-rounded and practical education.

Research Interest

Dr. Gumede’s research interests focus on radiography education, the interplay between traditional and allopathic medicine, and health inequities in the South African context. She is particularly invested in exploring the experiences of healthcare practitioners and patients, emphasizing the importance of effective communication and disclosure in improving patient care. Her work often employs both qualitative and quantitative methodologies to provide a comprehensive understanding of these critical issues.

Awards

Dr. Gumede has been recognized for her contributions to healthcare education and research through various nominations and accolades. Her work has not only garnered respect among her peers but also highlighted her commitment to addressing critical issues within the South African healthcare system.

Selected Publications

“Diagnostic radiographers’ experiences with paediatric patients during radiography examinations in Malawi – A qualitative study”

    • Authors: P. Manda, L. Gumede, C. Kammies, L. Mokoena
    • Year: 2025
    • Citations: None listed

“Exploring diagnostic radiography students’ experiences of transitioning from online to face-to-face teaching and learning, Johannesburg, South Africa”

    • Authors: L. Gumede, L. Hazell, S. Lewis
    • Year: 2025
    • Citations: None listed

“Diagnostic radiography clinical resources in a workplace-based learning setting”

    • Authors: Z. Dlamini, L. Gumede, LJ. Hazell
    • Year: 2024
    • Citations: None listed

“Medical imaging and radiation science students’ use of artificial intelligence for learning and assessment”

    • Authors: S. Lewis, F. Bhyat, Y. Casmod, A. Gani, L. Gumede, A. Hajat, L. Hazell, C. Kammies, T.B. Mahlaola, L. Mokoena et al.
    • Year: 2024
    • Citations: None listed

“Allopathic Medicine Practitioners’ perspectives on facilitating disclosure of traditional medicine use in Gauteng, South Africa: a qualitative study”

    • Authors: Lindiwe Gumede, Pauline B. Nkosi, Maureen N. Sibiya
    • Year: 2023
    • Citations: None listed

“Online teaching and learning through the students’ eyes – Uncertainty through the COVID-19 lockdown: A qualitative case study in Gauteng province, South Africa”

    • Authors: Lindiwe Gumede
    • Year: 2022
    • Citations: 46

“CT in an Emergency Setting”

    • Authors: Lindiwe Gumede, Nicole Badriparsad
    • Year: 2023
    • Citations: None listed

“Structuring an improved work environment for radiographers with work-related stress. Findings from a case study in Gauteng province, South Africa”

    • Authors: Lindiwe Gumede
    • Year: 2019
    • Citations: None listed

“Effects of Work-Related Stress on Radiographers in a Public Hospital in Gauteng Province” (Journal article)

    • Authors: Lindiwe Gumede
    • Year: 2018
    • Citations: None listed

“Effects of Work-Related Stress on Radiographers in a Public Hospital in Gauteng Province” (Conference abstract)

    • Authors: Lindiwe Gumede
    • Year: 2017
    • Citations: None listed

Conclusion

Dr. L. Gumede is a distinguished academic and researcher whose work bridges the gap between traditional and modern medicine, emphasizing healthcare equity and the significance of education. Through her teaching, mentorship, and research, she continues to make a lasting impact on the field of medical imaging and the broader healthcare sector in South Africa. Her commitment to addressing pressing healthcare challenges exemplifies her role as a leader and innovator in her field.