Muhammad Amin Nadim | Ethical AI | Best Researcher Award

Mr. Muhammad Amin Nadim | Ethical AI | Best Researcher Award

PhD Student | University of Foggia and University of Telepegaso | Italy 

Muhammad Amin Nadim is a third-year PhD student specializing in Learning Sciences and Digital Technologies, with joint affiliations at the University of Foggia and University of Telepegaso in Italy. His research focuses on the transformative potential of artificial intelligence (AI) in higher education, particularly its role in enhancing teaching methods and student outcomes. Previously, he earned a Master of Science in Computer Science from the University of South Asia, Pakistan, where he explored thermal comfort prediction using machine learning. He also holds a Master’s in Information Technology from the Virtual University of Pakistan, specializing in software project management and database systems. His educational background is rooted in a Bachelor of Science in Computer Science from the University of the Punjab, Pakistan.

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Education

Muhammad Amin Nadim’s academic foundation includes multiple degrees from esteemed institutions. He holds a Bachelor of Science in Computer Science from the University of the Punjab, Pakistan, which set the stage for his later pursuits. His Master’s degrees include an MSc in Computer Science from the University of South Asia, Pakistan, and an MSc in Information Technology from the Virtual University of Pakistan. These qualifications provided him with a robust understanding of both theoretical and practical aspects of computer science, IT, and machine learning, particularly as they relate to educational technologies and AI. His current PhD work is in progress at two renowned institutions in Italy, focusing on AI’s application in education.

Experience

Muhammad Amin Nadim has an extensive background in the field of computer science and digital technologies. Throughout his career, he has worked on a variety of research projects and collaborations, particularly in AI, machine learning, and digital education. One of his major ongoing projects is the investigation of AI’s role in enhancing teaching and learning in higher education. He has also contributed to projects on thermal comfort prediction using machine learning. His experience extends beyond research to include consultancy roles in industry-sponsored projects, demonstrating his ability to bridge academia and real-world applications. Additionally, his editorial roles in reputable journals showcase his involvement in the academic community.

Research Interests

Nadim’s primary research interests lie at the intersection of artificial intelligence, machine learning, and education technology. His work focuses on using AI to improve teaching and learning, with a particular interest in student retention, academic success, and intelligent tutoring systems. He also delves into the ethical considerations of AI in educational contexts. His research aims to identify innovative ways to enhance learning outcomes through predictive analytics and personalized education tools. As a researcher, he is driven by a commitment to improving educational systems worldwide using cutting-edge technological advancements.

Awards

Throughout his academic journey, Nadim has garnered recognition for his contributions to research and education. His work has led to nominations for prestigious awards such as the Best Researcher Award. His contributions to AI in education, especially his focus on improving teaching methods and retention rates, have positioned him as a promising scholar in the field. Additionally, his engagement as a reviewer for top journals, including the European Journal of Education and Canadian Journal of Education, further highlights his credibility and stature in the academic community.

Publications

Unveiling the Potential: Artificial Intelligence’s Negative Impact on Teaching and Research Considering Ethics in Higher Education – European Journal of Education, DOI: 10.1111/ejed.12929

Empowering Young Learners: A Machine Learning Study on Teachers’ Influence in Creativity and Critical Thinking – Accepted for ICAIE 2025 Conference, Suzhou, China

My POV Project: Enhancing Art Experience for the Visually Impaired – Accepted for presentation at the Applied Research International Conference, Oxford, UK

Exploring the Effect of Digital and Multisensory Educational Materials on Retention in Primary School Using Tangible User Interfaces – Accepted in Taylor & Francis Interactive Learning Environments Journal

Machine Learning Stacked Classifiers’ Role in Higher Education Student Retention and Academic Success – Presented at HELMeTO 2024, Rome, Italy

Students’ Satisfaction with Self-paced E-learning: Evidence from a Meta-analysis – Published in the Italian Journal of Health Education, Sports and Inclusive Didactics, 26 June 2024

Automated Breast Cancer Detection by Reconstruction Independent Component Analysis (RICA) Using Machine LearningJournal of Medical Imaging, 2022, DOI: 10.1080/09540091.2022.2151566

Conclusion

Muhammad Amin Nadim is a dynamic researcher in the field of artificial intelligence and digital education. His interdisciplinary work focuses on how AI can improve teaching practices, student learning, and educational outcomes. As a PhD student at two prominent Italian universities, he continues to make substantial contributions to research and innovation in learning sciences. With numerous publications in leading journals, his work is helping shape the future of AI in education. Nadim’s academic achievements, combined with his active participation in international conferences and his role as a reviewer for esteemed journals, position him as a key contributor to the field of educational technology.

Hussein Elaibi | Breast Cancer | Excellence in Research Award

Mr. Hussein Elaibi | Breast Cancer | Excellence in Research Award

phd student | Kutahya Dumlupinar University | Turkey

Hussein Kareem Elaibi is a dedicated researcher and academic professional specializing in biochemistry. With extensive experience in laboratory analysis, statistical systems, and computing, he has made significant contributions to scientific advancements. His academic journey began with a diploma in medical analysis from a technical medical institute, followed by a bachelor’s degree in chemistry. He later pursued a master’s degree in biochemistry and is currently undertaking his PhD studies at Kutahya Dumlupinar University. His expertise spans various research areas, including nanotechnology, immunology, and virology. His commitment to scientific research, particularly in cancer treatment and biomedical advancements, makes him a valuable asset to the field of biochemistry.

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Education

Hussein Kareem Elaibi has a strong academic background in chemistry and biochemistry. He began his studies with a diploma in medical analysis, providing him with fundamental laboratory skills and an understanding of diagnostic procedures. He then earned a bachelor’s degree in chemistry, which deepened his knowledge of chemical processes and their applications in medical science. To further advance his expertise, he pursued a master’s degree in biochemistry, focusing on the biochemical mechanisms of disease and treatment development. Currently, he is a PhD student at Kutahya Dumlupinar University, where his research is centered on cutting-edge developments in biochemistry, including nanomedicine and immunological responses in disease conditions.

Experience

Throughout his academic and professional career, Hussein Kareem Elaibi has acquired extensive experience in laboratory analysis, research methodologies, and statistical computing. His practical skills include operating advanced diagnostic instruments, handling biochemical samples, and analyzing data using specialized software. In addition to his laboratory expertise, he has experience in academic teaching, mentoring students in chemistry and biochemistry. He has collaborated with research teams on multiple projects, particularly those related to cancer treatments and the impact of biochemical markers on disease progression. His active participation in scientific communities and professional associations has further enriched his knowledge and contributions to the field.

Research Interest

Hussein Kareem Elaibi’s research interests are diverse and interdisciplinary, encompassing nanotechnology, nanomedicine, virology, immunology, and biochemistry. His current research focuses on the role of biochemical markers in disease detection and treatment, with a particular emphasis on cancer therapy. He is also interested in the impact of viral infections on human health and the development of innovative diagnostic methods. His work in nanotechnology explores how nanomaterials can be applied in medicine to improve drug delivery and therapeutic outcomes. By integrating advanced biochemical techniques with modern diagnostic tools, he aims to contribute to groundbreaking discoveries in medical science.

Awards

Hussein Kareem Elaibi has received recognition for his research excellence and contributions to biochemistry. His dedication to advancing scientific knowledge has led to multiple nominations and participation in academic conferences and research collaborations. He has been nominated for the AI Data Scientist Awards in the category of Excellence in Research, acknowledging his efforts in pioneering new approaches to disease diagnosis and treatment. His work has been recognized by the scientific community, and his research findings continue to contribute to the global understanding of biochemistry and medical sciences.

Publications

Hussein Kareem Elaibi has published several research papers in reputable scientific journals. His publications reflect his expertise in biochemistry and his contributions to medical science. Some of his notable works include:

“Comparison of Traditional and Modern Diagnostic Methods in Breast Cancer” – Published in 2023, cited by multiple articles for its insights into evolving diagnostic techniques.

“The Change in Complete Blood Count and Other Inflammatory Markers Before and After Sinopharm Coronavirus Vaccine” – Published in 2022, widely referenced in studies on vaccine efficacy.

“A Comprehensive Review of Aloe Vera: Multifaceted Health Benefits and Antidiabetic Properties” – Published in 2021, cited for its analysis of Aloe Vera’s medical applications.

“Liver Enzymes (ALT, AST) in the Detection of Hepatitis HCV, HBV, and HIV in Hemodialysis Patients” – Published in 2020, recognized for its clinical relevance.

“The Effect of Vitamin D and Parathyroid on Hepatitis C and Non-Hepatitis C Patients on Chronic Hemodialysis” – Published in 2019, contributing to nephrology research.

Conclusion

Hussein Kareem Elaibi is a distinguished researcher and academic professional dedicated to advancing scientific knowledge in biochemistry. His expertise in laboratory analysis, statistical computing, and academic teaching has positioned him as a valuable contributor to the field. His research interests in nanotechnology, immunology, and virology drive his commitment to discovering innovative solutions for disease diagnosis and treatment. With multiple publications in reputable journals and active participation in research collaborations, he continues to make significant contributions to medical science. His dedication and research excellence make him a deserving candidate for recognition in the field of scientific research.

Jin Lisheng | Image Processing | IEEE ICDM Research Contributions Award

Prof. Dr. Jin Lisheng | Image Processing | IEEE ICDM Research Contributions Award

professor | Yanshan University | China

Dr. Jin Lisheng, born in October 1975, is a distinguished professor and doctoral supervisor. He currently serves as the Dean of the School of Vehicle and Energy at Yanshan University. With an extensive academic and research career, Dr. Jin has contributed significantly to the fields of intelligent vehicle perception, decision-making, control, and transportation engineering. His professional journey has been marked by remarkable leadership roles, numerous research achievements, and active participation in academic collaborations and industrial partnerships. He has played a crucial role in the advancement of vehicle ergonomics, driver-vehicle-road collaboration, and intelligent transportation systems.

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Education

Dr. Jin earned his doctoral degree in Mechanical and Electronic Engineering from Jilin University in July 2003, where he was mentored by Professor Zhao Dingxuan. Prior to that, he obtained a master’s degree in Mechanical Design and Theory from Jilin University of Technology in March 2000. His academic journey began with an undergraduate degree in Hoisting Transportation and Engineering Machinery from Jilin University of Technology in July 1997. His strong academic foundation laid the groundwork for his extensive research and teaching career.

Experience

Dr. Jin’s professional journey spans multiple prestigious roles. He started as a lecturer at Jilin University in 2003 before engaging in postdoctoral research in Traffic and Transportation. From 2005 to 2006, he served as a visiting scholar at the Transportation Research Center of the University of Twente, Netherlands. He was promoted to associate professor in 2004 and professor in 2008. As the deputy dean of Jilin University’s School of Transportation from 2012 to 2020, he oversaw undergraduate teaching, scientific research, foreign affairs, and postgraduate training. In June 2020, he transitioned to Yanshan University as the Dean of the School of Vehicle and Energy, furthering his contributions to academic leadership and research innovation.

Research Interests

Dr. Jin specializes in intelligent vehicle perception, decision-making, and control, along with driver-vehicle-road collaboration and vehicle networking technology. His research extends to driving behavior analysis, vehicle ergonomics, and transportation safety. He has spearheaded multiple national and provincial research projects, including four National Natural Science Foundation grants, two national key research and development projects, and significant contributions to the Beijing-Tianjin-Hebei Cooperative Innovation Community. His work has resulted in valuable advancements in vehicle automation, smart transportation, and human-machine interaction in vehicular systems.

Awards

Dr. Jin has received numerous accolades throughout his career. In 2010, he was recognized as a “New Century Outstanding Talent” by the Ministry of Education. He was honored as an “Outstanding Communist Party Member” by Jilin University in 2011 and was awarded the Jilin Province “Special Fund for Talent Development” in 2012. In 2015, he won the Second Prize of the Jilin Province Science and Technology Progress Award and the Baosteel Education Foundation Excellent Teacher Award. His contributions earned him the Third Prize of the Beijing Science and Technology Award in 2018, the Second Prize of the Hebei Province Science and Technology Progress Award in 2022, and the First Prize of the China Intelligent Transportation Association Science and Technology Award in 2024. Additionally, he was recognized as the “2023 Teacher Moral Model” of Yanshan University.

Publications

Dr. Jin has published extensively in high-impact journals and conferences. Some of his notable works include:

Jin, L., et al. (2018). “Intelligent Vehicle Networking and Decision Systems,” IEEE Transactions on Intelligent Transportation Systems (Cited by 120 articles).

Jin, L., et al. (2019). “Driver Behavior Analysis in Autonomous Vehicles,” Transportation Research Part C (Cited by 90 articles).

Jin, L., et al. (2020). “Human-Machine Collaboration in Vehicle Ergonomics,” Applied Ergonomics (Cited by 75 articles).

Jin, L., et al. (2021). “Road Safety and Intelligent Transportation Systems,” Journal of Safety Research (Cited by 85 articles).

Jin, L., et al. (2022). “AI-Based Vehicle Perception and Control,” Automotive Engineering Journal (Cited by 65 articles).

Jin, L., et al. (2023). “Vehicular Wireless Networks and Anti-collision Technology,” Journal of Transportation Science (Cited by 70 articles).

Jin, L., et al. (2024). “Smart Transport Infrastructure and Its Future Implications,” China Journal of Highway (Cited by 60 articles).

Conclusion

Dr. Jin Lisheng’s academic and professional journey exemplifies excellence in transportation engineering and intelligent vehicle systems. His leadership roles, extensive research contributions, and dedication to advancing vehicle automation and safety have significantly impacted the field. With a strong foundation in academia and industry collaborations, Dr. Jin continues to shape the future of intelligent transportation, fostering innovation, and mentoring the next generation of engineers and researchers.

Oscar Alejandro Ángeles-Ramírez | Robotics and Control Systems Engineering | Best Researcher Award

Mr. Oscar Alejandro Ángeles-Ramírez | Robotics and Control Systems Engineering | Best Researcher Award

Bachelor’s Degree in Physical Engineering | Universidad Iberoamericana, Ciudad de México

Oscar Alejandro Ángeles-Ramírez is a highly skilled physical engineer with a strong foundation in control systems, data analysis, and financial risk management. Graduating with distinction from Universidad Iberoamericana with a GPA of 9.9/10, he has established a robust academic and professional trajectory. Oscar combines expertise in theoretical research, especially in robotics and control systems, with practical applications in financial risk consulting. He holds a key role at Management Solutions, providing risk consulting to financial entities, while also contributing to academia as an adjunct professor. Oscar’s contributions have earned him prestigious awards, including the CENEVAL Award for Outstanding Performance and several academic scholarships.

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Education

Oscar pursued his Bachelor’s degree in Physical Engineering at Universidad Iberoamericana in Mexico City, where he achieved exceptional academic results, graduating with a GPA of 9.9/10 in 2023. He is currently advancing his education by pursuing a Business and Consulting Diploma at the Instituto Tecnológico de Estudios Superiores de Monterrey. His academic background has provided a solid base in both engineering principles and financial consulting, reinforcing his ability to bridge the gap between theoretical research and industry applications.

Experience

Oscar’s professional experience is multifaceted, blending academic research with industry consulting. He has been employed as a Financial and Commodities Risk Consultant at Management Solutions in Mexico City since 2022, where he works on validating and replicating credit risk models for financial entities, as well as ensuring regulatory compliance in liquidity risk metrics like LCR and NSFR. His consulting experience extends to working with ESG criteria for financial institutions. In parallel, he serves as a Junior Academic Researcher and Data Analyst at Universidad Iberoamericana, contributing to innovative research in control systems and robotics, and designing automation tools for academic data collection. Additionally, Oscar has gained valuable teaching experience as an adjunct professor, where he integrates digital tools to enhance students’ understanding of complex mathematical concepts.

Research Interests

Oscar’s research interests lie primarily in control systems engineering and robotics, with a particular focus on iterative learning control and decentralized systems. His work has significantly advanced the study of multi-agent systems, especially in terms of formation control and collision avoidance, which is critical for robotic applications. He has developed a deep understanding of fractional-order systems, exploring their applications in the context of robotics and control systems. Oscar also has a keen interest in integrating innovative data analysis techniques to improve process optimization and decision-making in financial systems, particularly in risk management and regulatory compliance.

Award

Oscar has received multiple awards and recognition for his academic and professional achievements. Notably, he was awarded the Si Quieres, ¡Puedes! Scholarship in 2019 for demonstrating exceptional academic potential despite limited financial resources. He earned an Academic Research Scholarship from the Physics and Mathematics Department at UIA in 2020 and was honored with an Honorable Mention upon completing his Bachelor’s degree in 2023. In 2024, he received the CENEVAL Award for Outstanding Performance on the General Examination for Bachelor’s Degree Graduation. Additionally, his research paper on decentralized formation of multi-agent systems has been provisionally selected for the Best Researcher Award at the International AI Data Scientist Awards.

Publications

Oscar has published a select number of impactful research articles in the prestigious Asian Journal of Control, where he is the first author in all of his publications:

Iterative Learning Control Applied to Distributed-Order LTI MIMO Systems to Achieve Learnability (2023), Asian Journal of Control, Vol. 25, pp. 2508-2520. DOI: 10.1002/asjc.2973

Decentralized Formation of Multi-Agent Conformable Fractional Nonlinear Robot Systems (2024), Asian Journal of Control, Vol. 26, pp. 831-844. DOI: 10.1002/asjc.3242

Decentralized Formation with Collision Avoidance of Multi-Agent Conformable Fractional Nonlinear Robot Systems (2025), Asian Journal of Control. DOI: 10.1002/asjc.3580 – This paper has been provisionally selected for the Best Researcher Award at the International AI Data Scientist Awards by ScienceFather.

Conclusion

Oscar Alejandro Ángeles-Ramírez exemplifies the intersection of academia, engineering, and industry practice. His innovative contributions to control systems and robotics, alongside his pivotal role in financial risk consulting, demonstrate his versatility and commitment to applying knowledge in real-world contexts. With a strong academic foundation, notable research publications, and recognition in both professional and academic circles, Oscar continues to drive forward-thinking solutions in engineering and finance. His pursuit of excellence in both teaching and research solidifies his place as a rising leader in the fields of control systems and data analysis.

Mohammad Paknia | Geology and Geophysics | Best Researcher Award

Mr. Mohammad Paknia | Geology and Geophysics | Best Researcher Award

Postdoctoral research assistant | LIAG-Institute for Applied Geophysics | Germany

Mohammad Paknia is a postdoctoral research assistant at the Leibniz Institute for Applied Geophysics (LIAG), Germany, specializing in paleomagnetism and rock magnetism. His research primarily focuses on the application of these methods to understand past climatic changes, environmental conditions, and tectonic processes. Paknia is known for his expertise in analyzing magnetic mineralogy, sedimentary sequences, and depositional environments, utilizing these data to reconstruct paleoenvironmental and paleoclimatic changes. Through his work, he bridges multiple fields, contributing significantly to paleoclimatology, sedimentology, and tectonics, offering new insights into Earth’s dynamic history.

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Education

Paknia holds a PhD in Geosciences from the University of Roma Tre, Italy (2019), where his research explored the evolution of the Iranian Plateau, using paleomagnetic, rock magnetic, and sedimentological analyses. Prior to his PhD, he completed a postgraduate study in Geosciences at the University of Helsinki, Finland (2014-2016). He also earned his MSc in Geosciences from the Research Institute for Earth Sciences, Geological Survey of Iran, Tehran (2011). His academic background is characterized by a strong foundation in paleomagnetism and sedimentology, complemented by his advanced studies in the integration of these disciplines to address geological and environmental questions.

Experience

Paknia has extensive research and teaching experience, having worked in various prestigious institutions globally. He is currently a postdoctoral researcher at LIAG, where he contributes to the magnetostratigraphy of sedimentary cores from Germany and Ghana. Previously, he served as a teaching assistant at the University of Tehran, where he taught paleomagnetism. He has also been a visiting researcher at the Institute for Rock Magnetism at the University of Minnesota, USA, and a visiting scholar at the University of Helsinki. His career spans across both academic and industrial collaborations, focusing on environmental and climate reconstructions through paleomagnetic methods.

Research Interests

Paknia’s research interests lie at the intersection of paleomagnetism, rock magnetism, and tectonics. He is dedicated to developing new magnetic proxies for reconstructing climatic and environmental variations over geological timescales. His work integrates paleomagnetic data with sedimentological and geophysical datasets to reconstruct past climates and assess tectonic processes. His ongoing projects, including those related to Lake Bosumtwi in Ghana and the Riedstadt core in Germany, focus on understanding regional climatic shifts and basin evolution over the last million years.

Awards

Paknia’s academic excellence has been recognized with several prestigious fellowships and grants. These include a fully-funded PhD research grant at the University of Roma Tre, a visiting scholar fellowship at the University of Minnesota, and the Nordenskiöld Research Foundation’s fellowship for research at the University of Helsinki. He has also received multiple research grants from the Leibniz Institute for Applied Geophysics to support his postdoctoral projects. His work continues to garner recognition from the international scientific community, and his contributions are celebrated in both academic and research circles.

Publications

Paknia, M., Ballato, P., Bilardello, D., Zeeden, Ch., and Jackson, M. (2023). “Rock magnetic signature of red beds from the intermontane Tarom Basin (NW Iran): insights into middle to late Miocene environmental conditions and possible forcing mechanisms.” Paleoceanography and Paleoclimatology. [DOI: 10.1029/2023PA004811].

Zeeden, C., Paknia, M., Scheidt, S., Kaboth-Bahr, S., Vinnepand, M., and Hoselmann, C. (2024). “First paleomagnetic results from the borehole ‘Riedstadt-Erfelden’.” Geological Yearbook Hesse, 141.

Paknia, M., Ballato, P., Heidarzadeh, G.H., et al. (2021). “Neogene tectonostratigraphic evolution of the intermontane Tarom Basin: insights into basin filling and plateau building processes.” Tectonics, 40:3. [DOI: 10.1029/2020TC00624].

Paknia, M., Ballato, P., Heidarzadeh, GH. Cifelli, F., Oskooi, B., Feinberg, J., Jackson, M. (2021). “Middle-late Miocene normal faulting in the intermontane Tarom Basin during collisional deformation.” Journal of Asian Earth Sciences. [DOI: 10.1016/j.jseaes.2021.104846].

Salminen, J., Paknia, M., Kaakinen, A., et al. (2016). “Preliminary magnetostratigraphic results from the Miocene Maragheh Formation, NW Iran.” Palaeobio Palaeoenv, 96:433–443.

Mirzaie Ataabadi, M., et al. (2016). “The late Miocene hominoid-bearing site in the Maragheh Formation, NW Iran.” Palaeobio Palaeoenv, 96:349–371.

Paknia, M., Alimohammadian, H., Majidi fard, M.R., et al. (2013). “Magnetostratigraphy and Biostratigraphy of Bathonian-Callovian boundary (Middle Jurassic) of Golbini section, Eastern Alborz, Iran.” GEOSCIENCES. Vol. 22, No. 1.

Conclusion

Mohammad Paknia’s work integrates paleomagnetic, sedimentological, and geophysical methods to provide deep insights into past environmental and tectonic processes. His research contributes to a broader understanding of Earth’s climatic history, especially in regions like the Iranian Plateau and West Africa. With a strong academic background, extensive fieldwork, and collaborative efforts, Paknia is advancing our knowledge of paleoclimate, sedimentary dynamics, and tectonics. His contributions, backed by significant publications and research collaborations, continue to influence the fields of geosciences and environmental studies.

Tarek Awad | Robotic Colorectal Surgery | Best Researcher Award

Dr. Tarek Awad | Robotic Colorectal Surgery | Best Researcher Award

Senior Colorectal Surgery Fellow | University Hospitals Plymouth NHS Trust | United Kingdom

Tarek Ahmed Awad is a Senior Colorectal Surgery Fellow at University Hospitals Plymouth NHS Trust. His academic journey is marked by remarkable achievements, with a Master’s degree in General Surgery from Cairo University in 2015 and a Medical Doctorate (MD) in 2020. He has also earned membership in the Royal College of Surgeons of England (MRCS) in 2019. Awad’s work predominantly focuses on advanced colorectal surgery, minimally invasive procedures, and robotics, positioning him as a distinguished professional in the field of surgery.

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Education

Tarek Ahmed Awad’s educational path began with his graduation in 2009 from Cairo University with an MB.B.Ch., where he achieved a total cumulative grade of Very Good with High Honors (84.2%). In 2015, he completed his M.Sc. in General Surgery from the same institution, also with a very good grade. Further enhancing his expertise, Awad was awarded an MD in General Surgery in 2020 from Cairo University, solidifying his comprehensive knowledge and specialization in the field. His dedication to expanding his professional credentials was marked by his MRCS certification in 2019, affirming his qualifications in general surgery.

Experience

Awad has extensive experience in colorectal surgery, particularly in robotic-assisted procedures and minimally invasive surgery. As a Senior Colorectal Surgery Fellow, he works at University Hospitals Plymouth NHS Trust, where he applies his knowledge to advanced surgical interventions. His experience spans over several years, contributing to various high-level surgeries, research projects, and innovations in his field. Awad’s involvement in clinical practice, academic endeavors, and research further demonstrates his comprehensive and profound contribution to modern surgery.

Research Interests

Tarek Ahmed Awad’s research interests are focused on robotic surgery, minimally invasive techniques, and innovations within the medical field. He has worked on numerous research projects, with a notable emphasis on the use of robotics in colorectal surgery. His latest research project, “Robotic lateral pelvic wall lymph node dissection following robotic-assisted abdominoperineal resection,” exemplifies his commitment to pushing the boundaries of surgical techniques. Awad’s research aims to improve surgical outcomes and patient recovery times through technological advancements.

Awards

Throughout his career, Awad has been recognized for his excellence in surgery and research. His contributions to the field of colorectal surgery and minimally invasive techniques have been pivotal in advancing the field. Notably, Awad has earned recognition through multiple academic awards and his nomination for the Best Researcher Award. His academic and professional journey is a testament to his dedication to innovation, patient care, and surgical excellence.

Publications

Tarek Ahmed Awad has made significant contributions to the field of colorectal surgery through several published papers. Below are some of his key publications:

Awad, T. A. et al. (2021). “Robotic-assisted abdominoperineal resection for colorectal cancer: A systematic review,” Colorectal Disease.

Awad, T. A. et al. (2022). “Comparative outcomes of robotic versus laparoscopic surgery for colorectal resections,” British Journal of Surgery.

Awad, T. A. et al. (2020). “Postoperative recovery and quality of life following robotic-assisted colorectal surgeries,” Journal of Surgical Research.

Awad, T. A. et al. (2023). “Robotic innovations in colorectal surgery: A review of current applications and future perspectives,” Surgical Innovation Journal.

Awad, T. A. et al. (2024). “The impact of robotic surgery on lymph node dissection during colorectal cancer surgery,” International Journal of Colorectal Disease.
(These articles have been cited in over 150 academic references across various surgical and medical journals).

Conclusion

Tarek Ahmed Awad’s career reflects a steadfast commitment to the advancement of colorectal surgery, particularly in the integration of robotics and minimally invasive techniques. His academic credentials, extensive research, and professional experience mark him as a significant contributor to the field. With his ongoing dedication to improving patient outcomes and pushing the boundaries of surgical practice, Awad is poised to continue making influential strides in the realm of colorectal surgery. His nomination for the Best Researcher Award underscores his achievements and potential for future innovations in medical surgery.

Eswaramoorthi R | Internet of Things (IoT) Data | Best Researcher Award

Dr. Eswaramoorthi R | Internet of Things (IoT) Data | Best Researcher Award

Professor | K S R College of Engineering | India

Dr. R. Eswaramoorthi is a distinguished academician and researcher specializing in Applied Electronics with a keen interest in Wireless Communication. Currently serving as a Professor at K.S.R. College of Engineering, he has over two decades of teaching and research experience. His contributions to academia include mentoring students, publishing research in reputed journals, and participating in technical conferences. His dedication to knowledge dissemination and commitment to advancing engineering education make him a respected figure in his field.

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Education

Dr. Eswaramoorthi holds an M.E. and a Ph.D., signifying his strong academic foundation in engineering. His advanced studies provided him with expertise in applied electronics, equipping him with the skills to conduct high-quality research in wireless communication. His academic journey has been marked by continuous learning, attending faculty development programs, and engaging in research methodologies to stay abreast of technological advancements.

Experience

Dr. Eswaramoorthi has been associated with K.S.R. College of Engineering since 2007, progressively advancing through various roles. He began as a Lecturer and was promoted to Senior Lecturer, Assistant Professor (Sr), Associate Professor, and now holds the esteemed position of Professor. Prior to this, he served as Head of the Department at K.S. Rangasamy Institute of Technology. His extensive experience spans across teaching, administration, and research, making significant contributions to the academic environment.

Research Interest

His primary research interests lie in Wireless Communication, with a focus on developing efficient communication technologies. He has explored topics such as signal processing, network security, and antenna design. His research aims to enhance wireless connectivity and optimize system performance, addressing real-world challenges in communication technology.

Awards

Dr. Eswaramoorthi has received several accolades for his contributions to engineering education and research. His excellence in teaching, dedication to mentoring students, and impactful research have earned him recognition at institutional and national levels. His participation in faculty development programs and workshops further highlights his commitment to academic excellence.

Publications

Eswaramoorthi, R., Deepika, G. (2012). “Efficient Algorithms for Extension of Mobile Backbone Networks,” International Journal of Electronics and Computer Science Engineering (IJECSE), ISSN 2277-1956. Cited by multiple research articles.

Seethal Thomas, R. Eswaramoorthi. (2013). “Secure Communication using Adaptive Pixel Pair Matching Embedding Method and Nymble System,” International Journal of Emerging Trends in Engineering and Development, ISSN 2249-6149.

Kurinjivendhen, S., Eswaramoorthi, R. (2015). “Enhancing Throughput using Sleep Scheduling Mechanism in Wireless Sensor Networks,” International Journal of Advanced Information Science and Technology (IJAIST), ISSN 2319-2682.

A. Gayathri, R. Eswaramoorthi. (2016). “Minimizing Transmission Cost and Efficient Routing for Third-Party Information Exchange,” International Journal of Advanced Research in Biology, Engineering, and Science Technology (IJARBEST), ISSN 2395-695X.

Eswaramoorthi, R., Singaravel, G. (2017). “PAPR Reduction Techniques in OFDM System,” International Journal of Emerging Research in Management and Technology, ISSN 2278-9359.

Eswaramoorthi, R., Singaravel, G. (2018). “Improved Artificial Bee Colony Optimization Approach in UWB-OFDM for Frequency Offset Estimation,” Journal of Testing and Evaluation, ISSN 0090-3973.

R. Eswaramoorthi et al. (2024). “Frequency Offset Estimation for UWB-OFDM System Using Monarch Butterfly Optimization,” Journal of Electrical Systems, ISSN 1112-5209.

Conclusion

Dr. R. Eswaramoorthi is a highly accomplished professor, researcher, and mentor, contributing significantly to the field of applied electronics and wireless communication. With a wealth of experience in academia, numerous research publications, and a passion for teaching, he continues to inspire students and researchers alike. His dedication to advancing knowledge through research and education underscores his commitment to the engineering community.

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

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.

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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.

Jamal Raiyn | Deep Learning | Best Researcher Award

Prof. Dr. Jamal Raiyn | Deep Learning | Best Researcher Award

Lecturer | Technical University of Applied Sciences, Aschaffenburg | Germany

Jamal Raiyn is an accomplished researcher and academic in the field of applied computer science, particularly focusing on areas such as autonomous vehicles, smart cities, data science, and cyber security. With a notable track record of publications in top-tier journals and conferences, Raiyn has established himself as a leader in the intersection of technology, transportation, and urban development. His work has contributed to advancements in intelligent transportation systems, cyber security in autonomous networks, and the integration of machine learning into traffic management.

Profile

Google Scholar

Education

Raiyn’s academic journey is marked by a strong foundation in computer science and related disciplines. He has pursued extensive education and training, equipping himself with the skills needed to address complex issues in transportation networks, autonomous systems, and cyber security. His educational background laid the groundwork for his deep involvement in research and development of cutting-edge technologies, particularly in the context of autonomous vehicles and smart cities.

Experience

Raiyn has accumulated vast experience in both academic and industry settings. Over the years, he has worked with leading researchers and institutions on multiple projects, advancing his expertise in the application of machine learning and data analytics to urban planning and transportation systems. His collaborations have included prominent industry leaders and have led to successful research outcomes, including the development of models for improving traffic safety, congestion management, and autonomous driving behavior.

Research Interests

Raiyn’s primary research interests lie in the domains of autonomous vehicle networks, smart cities, and cyber security. He focuses on the application of advanced computational techniques like machine learning, data science, and neural networks to enhance the safety, efficiency, and sustainability of transportation systems. Raiyn is particularly interested in the study of intelligent transportation systems, traffic anomaly detection, collision avoidance, and the optimization of vehicle communications over wireless networks. His research also addresses cyber security challenges, particularly within the context of autonomous vehicle communications and critical infrastructure.

Awards

Raiyn has been the recipient of numerous accolades for his contributions to applied computer science. His work has garnered recognition from prestigious academic institutions, research organizations, and professional societies. Notably, his research on intelligent traffic management and autonomous vehicle behavior prediction has been recognized with awards at international conferences, highlighting the significant impact of his work on advancing smart city technologies and autonomous transportation solutions.

Publications

Raiyn has published several influential papers in leading academic journals, contributing valuable insights into fields such as transportation, cyber security, and data science. Some of his notable publications include:

Raiyn, J., & Weidl, G. (2025). “Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics.” Smart Cities.

Raiyn, J., Chaar, M. M., & Weidl, G. (2025). “Enhancing Urban Livability: Exploring the Impact of On-Demand Shared CCAM Shuttle Buses on City Life, Transport, and Telecommunication.”

Raiyn, J., & Weidl, G. (2024). “Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events.” Smart Cities, 7(1), 460-474.

Raiyn, J. (2024). “Maritime Cyber-Attacks Detection Based on a Convolutional Neural Network.” Computational Intelligence and Mathematics for Tackling Complex Problems, 5, Springer, pp. 115-122.

Raiyn, J., & Rayan, A. (2023). “Identifying Safety-Critical Events in Data from Naturalistic Driving Studies.” International Journal of Simulation Systems, Science & Technology, 24(1).

Raiyn, J. (2022). “Detection of Road Traffic Anomalies Based on Computational Data Science.” Discover Internet of Things, 2(6).

Raiyn, J. (2022). “Using Dynamic Market-Based Control for Real-Time Intelligent Speed Adaptation Road Networks.” Advances in Science, Technology and Engineering Systems Journal, 7(4), 24-27.

These papers have been cited by a variety of studies, underlining the relevance and impact of his research in the fields of intelligent transport, autonomous systems, and cyber security.

Conclusion

Jamal Raiyn’s research continues to push the boundaries of knowledge in the field of applied computer science, particularly within the context of transportation systems and autonomous vehicle technologies. His work has not only contributed to theoretical advancements but has also provided practical solutions to real-world challenges, including traffic safety, cyber security in autonomous networks, and the development of smart city infrastructure. Raiyn’s dedication to advancing technology for the betterment of society is evident in his continued contributions to the scientific community. His work is a testament to the profound impact that interdisciplinary research can have on shaping the future of urban living and transportation systems.

Şifa Özsari | Image Processing | Best Researcher Award

Dr. Şifa Özsari | Image Processing | Best Researcher Award

Res. Assist. | Ankara University | Turkey

Dr. Şifa Özsarı is an accomplished academic and researcher specializing in artificial intelligence (AI), machine learning, deep learning, image processing, and optimization. With a career dedicated to advancing cutting-edge technologies, Dr. Özsarı has made significant contributions to her field through groundbreaking research, impactful publications, and innovative problem-solving approaches. Currently affiliated with Ankara University, she has been recognized for her commitment to both scientific discovery and practical applications in AI-driven solutions.

Profile

Scopus

Education

Dr. Özsarı completed her academic training at prestigious institutions, building a strong foundation in engineering and computational sciences. Her educational journey was marked by excellence, with advanced degrees focusing on artificial intelligence and its interdisciplinary applications. Her academic pursuits equipped her with the knowledge and skills to address complex challenges in fields such as image processing, optimization algorithms, and medical diagnostics.

Experience

Dr. Özsarı has accumulated extensive professional experience in both academia and applied research. She has been involved in interdisciplinary projects that bridge AI with real-world applications, such as healthcare, environmental science, and engineering. Her expertise in deep learning and optimization has enabled her to contribute to projects like fungi classification, weather analysis, and temporomandibular joint disorder diagnostics. Throughout her career, she has mentored students, collaborated with international researchers, and participated in high-impact conferences.

Research Interests

Dr. Özsarı’s research interests lie at the intersection of artificial intelligence and its transformative potential across diverse domains. Her work focuses on developing advanced deep learning models, optimizing machine learning algorithms, and applying these technologies to image processing, medical diagnostics, and environmental monitoring. She is particularly passionate about leveraging AI to address pressing societal challenges, such as improving healthcare outcomes and advancing sustainable solutions.

Awards

Dr. Özsarı has been nominated for several awards that recognize her contributions to the field of artificial intelligence and machine learning. Her work has earned acclaim for its innovation, interdisciplinary approach, and potential for practical application. Specific details of awards and recognitions highlight her dedication to excellence and the impact of her research on both academia and industry.

Publications

Dr. Özsarı has an impressive portfolio of publications in esteemed journals, showcasing her expertise and contributions to AI and related fields. Selected publications include:

Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification (2024). Published in Sensors, vol. 24, no. 22, this paper explores fungi classification using deep learning, cited by several articles for its innovative methodologies.

A Comprehensive Review of Artificial Intelligence-Based Algorithms Regarding Temporomandibular Joint-Related Diseases (2023). Published in Diagnostics, vol. 13, no. 16, this review consolidates AI approaches for medical diagnostics, attracting citations for its thorough analysis.

Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning (2023). Published in IEEE Access, vol. 11, this study applies deep learning to medical imaging, widely recognized for its clinical significance.

Cloudy/Clear Weather Classification Using Deep Learning Techniques with Cloud Images (2022). Published in Computers and Electrical Engineering, vol. 102, this paper advances environmental monitoring with AI techniques.

Implementation of Meta-Heuristic Optimization Algorithms for Interview Problems in Land Consolidation: A Case Study in Konya/Turkey (2021). Published in Land Use Policy, vol. 108, this work integrates AI in land management.

Automatic Vertical Root Fracture Detection on Intraoral Periapical Radiographs with Artificial Intelligence-Based Image Enhancement (Date TBD). Published in Dental Traumatology, this ongoing work has drawn interest for its contributions to dental imaging.

USB-IDS-1 Dataset Feature Reduction with Genetic Algorithm (2024). Published in Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 66, this study enhances data efficiency using genetic algorithms.

Conclusion

Dr. Şifa Özsarı’s career exemplifies a dedication to advancing the frontiers of artificial intelligence. Through her interdisciplinary research, impactful publications, and contributions to real-world applications, she has established herself as a leading figure in her field. Her work not only addresses academic challenges but also provides innovative solutions to practical problems, making a meaningful impact across various industries. Dr. Özsarı’s ongoing research promises to continue shaping the future of AI and its applications.