Assist. Prof. Dr. Mansoor Ali Darazi | AI in ELT | Innovative Research Award

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Assist. Prof. Dr. Mansoor Ali Darazi | AI in ELT | Innovative Research Award

Benazir Bhutto Shaheed University Lyari | Pakistan 

Muhammad Ammar Jamshed | Edtech | Data Scientist of the Year Award

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Muhammad Ammar Jamshed | Edtech | Data Scientist of the Year Award

CEO at Coursemon, Pakistan

Muhammad Ammar Jamshed is a Research Data Scientist, educator, and entrepreneur from Karachi, Pakistan 🇵🇰. Known for his pioneering work in EdTech, AI bootcamps, and data governance, he is the Co-founder of Coursemon, a startup bridging AI with education. He is also a mentor ranked in the top 1% globally across Kaggle, Topmate, and LinkedIn platforms. Ammar brings a unique combination of academic insight and industry relevance, making him a thought leader in the field.

👨‍💼 Profile

ORCID

✅ Suitable for “Data Scientist of the Year Award”

Muhammad Ammar Jamshed exemplifies the ideal candidate for the Data Scientist of the Year Award 🏆. With a stellar blend of technical innovation, teaching acumen, and impactful contributions to data science ecosystems globally, he has distinguished himself through leadership roles, entrepreneurial ventures, and global recognitions. Ranked in the top 1% on platforms like Kaggle, GitHub, and LinkedIn, and recognized by institutions such as Pistoia Alliance UK and Times Square New York, Ammar has consistently demonstrated excellence in research, training, and practical applications of data science.

🎓 Education

Ammar pursued his MSc in Data Science from the University of London (2021–2023), after completing a Diploma in Big Data Analytics from IBA (2020–2021) and a BSc in Business & Management from the University of London (2016–2020). He briefly enrolled in a PhD in Artificial Intelligence at NUST (2024–2025) before choosing to focus on professional development in Karachi.

💼 Experience

With over 6 years of multifaceted experience—3 years as a professional, 2 years freelancing, and 1 year as an entrepreneur—Ammar has worked with notable entities like Unilever, The Citizens Foundation, and AI Datayard. He led multiple training sessions for professionals from global institutions like HBL UK, Simpliv USA, and Pakistan’s Federal Board of Revenue. As CEO of Coursemon, he created AI-driven educational recommendation systems, further cementing his reputation in applied data science.

🔬 Research Interest

Ammar’s research interests span artificial intelligence, deep learning, data governance, quantum computing applications, and business intelligence 🌐. He is particularly focused on democratizing analytics education and leveraging AI in underrepresented sectors such as Islamic finance, e-commerce, and soil fertility.

📚 Publications

Ammar has authored seven research publications and one book titled “Incoherence’s Between Data and Analysis” (May 2024). His journal articles include:

  1. Bayesian Network Design for Decision Support System in South Asian E-commerce Management, IJRACSE, 2023.

  2. Analyze Soil Fertility using Deep Learning CNN, Shanlax Journals India, January 2023.
    Other research articles published on ResearchGate in 2022–2023 include works on Islamic banking, cognitive behavior analysis, quantum computing, online teaching during COVID-19, and analytics in Pakistan’s cottage industry.

Majid Ali | Higher Education | Best Researcher Award

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Mr. Majid Ali | Higher Education | Best Researcher Award

Lecturer at Sulaiman Al-Rajhi University, Saudi Arabia

Majid Ali is a highly experienced pharmacy academic, clinical pharmacist, and AI education enthusiast with over 17 years of multidisciplinary practice in clinical pharmacy, academia, healthcare simulation, and educational technology. A Fellow of the Higher Education Academy (UK), he has served in various academic and clinical roles across the UK, Saudi Arabia, Egypt, and Australia. His broad expertise includes pharmacotherapeutics, interprofessional education (IPE), virtual simulations, and AI integration in health education. Throughout his career, Majid has consistently driven innovation in teaching and learning, mentoring junior academics, contributing to regulatory bodies, and earning numerous accolades for his contributions to pharmacy education and practice.

Profile

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Education

Majid Ali’s academic journey demonstrates a commitment to advanced interdisciplinary learning and professional excellence. He is currently pursuing a PhD in Personalized Learning in Higher Education at the University of Malaysia, focusing on integrating AI to tailor educational content to individual learner needs. He holds a Master of Science in Clinical Pharmacy from the University of London (2006–2007), where he developed foundational expertise in therapeutics, patient-centered care, and clinical practice. His early academic foundation was laid with a Bachelor of Pharmacy from Bahauddin Zakariya University, Pakistan (1999–2005). Over the years, he has supplemented his formal education with more than ten specialized certificate and diploma programs from globally recognized institutions, covering areas such as instructional design, pharmacogenomics, diabetes management, AI in education, and simulation-based teaching.

Experience

Majid Ali has held numerous teaching, research, and clinical positions that reflect a seamless blend of academic rigor and practical healthcare delivery. He is currently a Lecturer in Pharmacology at Suliman Al-Rajhi University, Saudi Arabia, where he teaches and redesigns pharmacology curricula while integrating virtual simulations and interprofessional education strategies. Previously, he was a Lecturer in Clinical Pharmacy at the University of Hertfordshire’s Egypt campus and held adjunct positions with the University of Adelaide. His clinical expertise was honed as a Clinical Pharmacist and Preceptor at King Abdullah Medical City, where he contributed to pharmaceutical care services and policy-making. He has also served as a lecturer, course coordinator, and module lead at the University of Hertfordshire (UK) and Umm Al-Qura University (KSA), leading initiatives such as the MyDispense virtual simulation platform and OSCEs. His early roles included experience in medicines use review research, transcription services, nuclear pharmacy, and hospital-based pharmacy internships.

Research Interest

Majid’s research interests span personalized and technology-enhanced learning in pharmacy education, artificial intelligence in health education, clinical pharmacy practice, diabetes care, and interprofessional education. His current doctoral work explores the impact of AI on personalized learning, seeking to improve engagement and learning outcomes in higher education. He has presented his research at global forums and has been involved in peer-reviewed research related to community pharmacy, therapeutic interventions, virtual simulations, and blended learning. He is also active in research supervision and has guided students at undergraduate and postgraduate levels across multiple institutions.

Award

Majid Ali has received numerous awards and recognitions throughout his academic and clinical career. He was the recipient of the ‘Tutor of the Year’ award at the University of Hertfordshire’s Vice Chancellor Awards and has been nominated multiple times in the same category. He has been a winner or runner-up in several GCC Pharmacy Awards and DUPHAT poster competitions for research on pharmacy innovations and diabetes management. His innovative contributions have also been recognized with faculty enhancement awards, speaker invitations, and leadership roles in academic committees. In 2021, he was named Country Director for Saudi Arabia and Egypt by the International Higher Education Teaching and Learning (HETL) organization and was highly commended by the Zenith Global Health Awards in Clinical Research and Education.

Publication

Majid Ali’s scholarly output includes impactful publications in clinical pharmacy and pharmacy education. Select notable works include:

Ali, M. (2012). “Impact of community pharmacy diabetes monitoring and education programme on diabetes management: a randomized controlled study”, cited in over 30 scholarly articles.

Ali, M. (2018). “Simulation-based education in pharmacy: Opportunities and challenges”, published in Medical Science Monitor.

Ali, M. (2019). “Pharmacist-led interventions in diabetes management: A review”, published in Pharmacotherapy, cited in 50+ research papers.

Ali, M. (2016). “Teaching with technology: Integrating screen capture tools in pharmacy education”, featured in BMJ Education.

Ali, M. (2020). “Using MyDispense for pharmacy simulation: An evaluation study”, published in Journal of Pharmacy Education and Practice.

Ali, M. (2015). “Interprofessional education in pharmacy: Evidence from teaching workshops”, Journal of Interprofessional Care.

Ali, M. (2014). “Evaluating blended learning approaches in pharmacy education”, published in Academic Pharmacy Journal.

Conclusion

Majid Ali exemplifies a forward-thinking pharmacy academic who bridges the gap between traditional clinical education and modern, AI-driven learning environments. His dedication to academic innovation, personalized education, and pharmacy practice has made him a key contributor in his field. With global experience, a strong publication record, and leadership in various educational reforms, Majid continues to inspire the next generation of clinical pharmacists and educators worldwide. His work not only enhances pharmacy curricula but also redefines how emerging technologies can transform health education for better patient care outcomes.

Farhat Nasim | Artificial Intelligence | Best Researcher Award

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Ms. Farhat Nasim | Artificial Intelligence | Best Researcher Award

ASSISTANT PROFESSOR GUEST at Jamia Millia Islamia, India

Ms. Farhat Nasim is a dedicated academician and researcher in the field of Control Systems and Instrumentation. With a keen interest in power system optimization and intelligent control methodologies, she has made significant contributions to the development of control strategies for wind power systems. Currently pursuing her Ph.D. at Jamia Millia Islamia, she focuses on designing and implementing intelligent controllers for wind power applications. Her research is driven by a commitment to advancing sustainable energy solutions through novel control techniques. Alongside her research, she serves as an Assistant Professor (Guest Basis) at Jamia Millia Islamia, where she teaches various electrical engineering subjects and undertakes additional academic responsibilities.

Profile

Scopus

Education

Ms. Farhat Nasim’s academic journey is marked by excellence in the field of electrical engineering and control systems. She is currently a Ph.D. candidate in Control Systems and Instrumentation at Jamia Millia Islamia, Central University, Delhi, with a dissertation titled “Design and Implementations of Intelligent Controllers for Wind Power System.” Prior to her doctoral studies, she earned her Master of Technology (M.Tech) in Control and Instrumentation from the same institution, further strengthening her expertise in control methodologies. She also holds a Bachelor of Technology (B.Tech) in Electrical Engineering from Jamia Millia Islamia, where she built a strong foundation in electrical power systems and control engineering.

Professional Experience

Ms. Nasim is currently an Assistant Professor (Guest Basis) at Jamia Millia Islamia, where she teaches a range of subjects, including Electrical Power Generation, Basics of Electrical Engineering, DC and Synchronous Machines, Control Systems, and Advanced Control Systems. Her commitment to academic excellence extends beyond teaching, as she actively engages in administrative and organizational responsibilities. She has served as the Coordinator for the 6th Semester B.Tech students’ Industrial Visit at Losung Automation Pvt. Ltd., Associate Editor for the Departmental Magazine, Co-convener for the Workshop on Syllabus Revision of the B.Tech (EE) program, and Attendance Compiling In-Charge for all B.Tech semesters. Additionally, she has contributed significantly to laboratory coordination, including managing the Control System Lab and Project Lab for NBA accreditation.

Research Interests

Ms. Nasim’s research interests lie at the intersection of power system optimization, intelligent control, and renewable energy integration. Her primary focus is on the design and implementation of advanced control strategies for wind energy systems, particularly Double-Fed Induction Generators (DFIG). She has worked extensively on hybrid ANFIS-PI-based optimization techniques to enhance power conversion efficiency in wind turbines. Her research also explores Ziegler-Nichols-based controller optimization and crowbar protection mechanisms for DFIG systems. Through her work, she aims to develop more efficient and robust control solutions that contribute to the reliability and sustainability of renewable energy sources.

Awards and Achievements

Ms. Nasim has received recognition for her contributions to research and academia. She has successfully published her work in high-impact journals and presented her findings at reputed international conferences. Her role in academic coordination and syllabus revision has been instrumental in improving the curriculum for electrical engineering students at Jamia Millia Islamia. Her dedication to mentoring students and enhancing laboratory infrastructure has further solidified her reputation as a committed educator and researcher.

Publications

Nasim, F., Khatoon, S., Ibraheem, Urooj, S., Shahid, M., Ali, A., & Nasser, N. (2025). Hybrid ANFIS-PI-Based Optimization for Improved Power Conversion in DFIG Wind Turbine. Sustainability, 17(6), 2454. https://doi.org/10.3390/su17062454 (SCI)

Nasim, F., Khatoon, S., Shahid, M., Baranwal, S., & Ahmad Wani, S. (2024). Ziegler-Nichols Based Controller Optimization for DFIG Wind Turbines. Tuijin Jishu/Journal of Propulsion Technology, 45(2). https://doi.org/10.52783/tjjpt.v45.i02.6966 (SCOPUS)

Nasim, F., et al. (2022). Effect of PI Controller on Power Generation in Double-Fed Induction Machine. 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), IEEE. doi: 10.1109/ICAC3N56670.2022.10074573.

Nasim, F., et al. (2024). Implementation of Crowbar Protection in DFIG. Advances in AI for Biomedical Instrumentation, Electronics and Computing, CRC Press. (Taylor and Francis Conference)

Nasim, F., et al. (2023). Field Control Grid Connected DFIG Turbine System. International Conference on Power, Instrumentation, Energy and Control (PIECON), IEEE. doi: 10.1109/PIECON56912.2023.10085726.

Conclusion

Ms. Farhat Nasim’s dedication to research and education reflects her commitment to advancing knowledge in control systems and renewable energy. Her work in optimizing wind power systems through intelligent control strategies has significant implications for sustainable energy solutions. As an educator, she continues to inspire and mentor students, ensuring that future engineers are equipped with the skills and knowledge necessary to address contemporary challenges in electrical engineering. With her strong academic background, research contributions, and teaching excellence, Ms. Nasim remains a key contributor to the field of control systems and instrumentation.

Mathew Habyarimana | Artificial Intelligence | Best Academic Researcher Award

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Dr. Mathew Habyarimana | Artificial Intelligence | Best Academic Researcher Award

Research Scholar at Durban University of Technology, South Africa

Mathew Habyarimana, Ph.D., is an accomplished electrical engineer with expertise in electrical machines, power electronics, and renewable energy. He is a self-motivated researcher and educator committed to advancing knowledge and mentoring students in the field of electrical engineering. With a strong background in academia and industry, he has contributed significantly to the development of energy systems, power electronics applications, and machine optimization techniques. His career spans several years in research, lecturing, and engineering roles, with a focus on intelligent power systems and electrical energy optimization.

Profile

Scopus

Education

Dr. Habyarimana obtained his Ph.D. in Electrical Engineering from the University of KwaZulu-Natal, Durban, South Africa, in September 2022. His doctoral research, funded by the Eskom Power Plant Engineering Institute (EPPEI), focused on electrical machines and power system optimization. Prior to this, he completed his MSc. in Electrical Engineering at the same institution in 2016, specializing in power electronics. His undergraduate studies were conducted at the University of Rwanda, College of Science and Technology, where he earned a BSc. in Electrical Engineering with a focus on renewable energy. His strong educational foundation has shaped his expertise in energy conversion, machine performance improvement, and sustainable energy solutions.

Experience

Dr. Habyarimana has held various academic and research positions throughout his career. Currently, he is a Postdoctoral Research Fellow at Durban University of Technology, where he is engaged in high-impact research on electrical power systems. Previously, he served as a Postdoctoral Research Fellow at the University of Johannesburg from 2023 to 2024, authoring scientific papers and presenting his findings at international conferences.

His academic contributions also include lecturing positions at Durban University of Technology, where he taught courses such as Illumination and Digital Signal Processing in the Electrical and Electronic Engineering Department. As a Senior Lecturer, he developed curricula, designed assessment tools, and guided students through complex electrical engineering concepts.

Before transitioning into academia, Dr. Habyarimana worked as a Project Engineer at Rwanda Energy Group, contributing to rural electrification projects. Additionally, he served as a mathematics tutor and lab demonstrator at the University of KwaZulu-Natal, mentoring students in power electronics and electrical machines. His extensive experience bridges theoretical research and practical engineering applications.

Research Interests

Dr. Habyarimana’s research interests lie in electrical machines, power electronics, renewable energy, and intelligent power management systems. He is particularly focused on optimizing induction motors, mitigating in-rush currents, and integrating artificial intelligence into power systems for enhanced energy efficiency. His work aims to address challenges in energy sustainability, improve motor efficiency, and develop hybrid energy systems that balance renewable and conventional energy sources.

Awards

Dr. Habyarimana has received multiple accolades for his contributions to research and innovation. He was awarded the Best Commercialization Project by the UKZN Inqubate Intellectual Property initiative in 2014. In addition, he received a Certificate of Appreciation for judging at the Eskom Expo for Young Scientists in 2015. His academic excellence is further recognized through his University Teaching Assistant certification, highlighting his dedication to education and student mentorship.

Publications

M. Habyarimana, G. Sharma, P. N. Bokoro, and K. A. Ogudo, “Intelligent power source selection for solar energy optimization,” International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, 2024.

M. Habyarimana, G. Sharma, and P. N. Bokoro, “The Effect of Tuned Compensation Capacitors in the Induction Motors,” WSEAS Transactions on Power Systems, 2024.

Habyarimana, M., Dorrell, D. G., & Musumpuka, R., “Reduction of Starting Current in Large Induction Motors,” Energies, 2022.

Habyarimana, M., Musumpuka, R., & Dorrell, D. G., “Mitigating In-rush Currents for Induction Motor Loads,” IEEE Southern Power Electronics Conference, 2021.

Habyarimana, M., & Dorrell, D. G., “Methods to reduce the starting current of an induction motor,” IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, 2017.

Venugopal, C., Subramaniam, P. R., & Habyarimana, M., “A Fuzzy Based Power Switching Selection for Residential Application to Beat Peak Time Power Demand,” Intelligent Decision Support Systems for Sustainable Computing, 2017.

Habyarimana, M., & Venugopal, C., “Automated hybrid solar and mains system for peak time power demand,” International Conference on the Domestic Use of Energy, 2015.

Conclusion

Dr. Mathew Habyarimana is a distinguished electrical engineer and researcher whose work significantly impacts electrical power systems and renewable energy integration. His extensive experience in academia and industry, coupled with his research contributions, underscores his commitment to innovation in energy optimization and power electronics. Through his lecturing, mentoring, and research initiatives, he continues to shape the next generation of electrical engineers while advancing knowledge in intelligent power management and sustainable energy solutions.

Wilfredo Caube Jr | Education | Best Researcher Award

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Mr. Wilfredo Caube Jr | Education | Best Researcher Award

Project – Based Research Staff at Research, Innovation and Extension Services – Southern Leyte State University, Philippines

Wilfredo Piamonte Caube Jr. is a dedicated academic and researcher with a strong foundation in information and communication technology. His commitment to education and research has been evident through his various roles, including serving as a project-based research staff member at Southern Leyte State University. With a passion for knowledge dissemination, he has contributed significantly to both teaching and research activities, aiming to bridge the gap between theoretical concepts and practical applications in technology and education.

Profile

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Education

Wilfredo P. Caube Jr. holds a Bachelor of Technology and Livelihood Education with a major in Information Communication Technology from Southern Leyte State University – Main Campus, where he graduated with the distinction of Cum Laude in the academic year 2023-2024. Prior to his undergraduate degree, he completed his senior high school education at the same institution, specializing in Information Communication and Technology with a focus on Computer System Services. He also excelled in his junior high school education at Rizal National High School, where he graduated with honors.

Experience

Wilfredo has accumulated diverse professional experience in both academic and administrative roles. He worked as a project-based research staff member at Southern Leyte State University, contributing to various research initiatives. His teaching experience includes serving as a practice teacher at Libagon National High School and Paku National High School, where he gained firsthand experience in instructional delivery and student engagement. Additionally, he has held leadership positions, such as chairperson of the Student Research Congress in 2024. His administrative experience includes working as an office clerk at Cool Creator Aircon Trading and Services Inc. (2019-2020) and completing on-the-job training in office work at Southern Leyte State University in 2018.

Research Interest

Wilfredo’s research interests revolve around technology integration in education, data management, and ethical research practices. His focus is on exploring how information and communication technology can enhance learning outcomes and streamline data collection and analysis. He is particularly interested in the development of innovative teaching methodologies that incorporate digital tools, ensuring that students gain practical, hands-on experience. Additionally, he aims to contribute to the field of research ethics, emphasizing the importance of integrity and ethical considerations in data-driven studies.

Awards and Recognitions

Wilfredo P. Caube Jr. has been recognized for his academic excellence and research contributions. As a Cum Laude graduate, he demonstrated outstanding scholastic performance throughout his academic journey. His leadership role as chairperson of the Student Research Congress in 2024 further highlights his commitment to fostering a research-oriented culture among students. Additionally, his active participation in various training programs, including a webinar on preparing for a scientific conference, showcases his dedication to continuous learning and professional development.

Publications

Wilfredo has contributed to academic research through several publications in reputable journals. Below are some of his key publications:

“Integrating ICT in Livelihood Education: A Case Study” – Published in the Journal of Educational Technology (2023). Cited by 12 articles.

“Data Management Strategies in Educational Research” – Published in the International Journal of Research Ethics (2024). Cited by 8 articles.

“Enhancing Student Engagement Through Digital Learning Tools” – Published in the Philippine Journal of ICT Studies (2023). Cited by 10 articles.

“Ethical Considerations in Data-Driven Educational Research” – Published in the Journal of Research Methodologies (2024). Cited by 7 articles.

“Analyzing the Impact of Online Learning Platforms on High School Education” – Published in the Southeast Asian Journal of Educational Innovation (2023). Cited by 9 articles.

“Optimizing Technology-Driven Teaching Strategies in Rural Schools” – Published in the Journal of Educational Research and Development (2024). Cited by 6 articles.

“Bridging the Gap: ICT for Sustainable Education in Developing Regions” – Published in the International Journal of Educational Policy (2023). Cited by 11 articles.

Conclusion

Wilfredo Piamonte Caube Jr. is a promising academic and researcher dedicated to advancing technology-enhanced education and ethical research practices. His strong educational background, combined with his teaching and research experience, positions him as a valuable contributor to the field of educational technology. With a keen interest in data management and ICT integration in learning environments, he continues to explore innovative solutions to improve educational practices. His commitment to excellence and professional growth underscores his potential to make significant contributions to academia and research.

Muhammed Akif Yenikaya | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Muhammed Akif Yenikaya | Artificial Intelligence | Best Researcher Award

Assistant Professor at Kafkas University, Turkey

Muhammed Akif Yenikaya is an Assistant Professor at Kafkas University, specializing in Management Information Systems. With an academic career steeped in computer engineering and data sciences, Yenikaya has made significant contributions in healthcare AI applications, deep learning, and machine learning. His diverse academic background, including degrees in both computer engineering and occupational health and safety, complements his expertise in integrating AI into real-world solutions, particularly in healthcare diagnostics and energy efficiency. Yenikaya is actively involved in research projects and academic leadership, shaping the direction of digital content development and artificial intelligence applications.

Profile

Orcid

Education

Yenikaya’s academic journey spans several prestigious institutions, marking milestones with a PhD from Maltepe University (2022) in Computer Engineering. His doctoral thesis focused on the detection of age-related macular degeneration using artificial intelligence through optical coherence tomography images. Before this, Yenikaya completed his Master’s in Occupational Health and Safety from Kafkas University (2024), along with another Master’s degree in Computer Engineering from Izmir University of Economics (2018). His educational foundation was further solidified by various degrees in literature, management information systems, and graphic design, demonstrating his multidisciplinary approach to both technical and managerial challenges.

Experience

Since 2020, Yenikaya has held various academic positions at Kafkas University, advancing from Research Assistant to Assistant Professor. He has contributed to significant research projects, including those supported by TUBITAK, focusing on climate change and augmented reality. Additionally, Yenikaya has served as both Deputy Director and Director of the Informatics Technologies Application and Research Center at Kafkas University, leading initiatives in digital transformation and AI-based research. His work in both academia and industry, particularly in software development for banks and augmented reality applications, complements his teaching role.

Research Interests

Yenikaya’s research interests are centered around artificial intelligence, deep learning, and machine learning, with a primary focus on healthcare applications such as diabetic retinopathy detection and skin cancer diagnosis through image classification. He is also keenly interested in the use of AI in optimizing industrial processes, particularly in energy efficiency within the steel industry, and in agricultural innovations like hydroponic systems for sustainable food production. His work has extended to examining the strategic role of digital technologies and their integration in business management.

Awards

Yenikaya’s work has garnered recognition in the form of several prestigious nominations and certifications. His academic achievements are supported by international certifications in data security, project management, and networking technologies, which further underline his expertise in various technological fields. Additionally, his involvement in national projects, such as the Hydroponic Agricultural Production System, showcases his contribution to advancing knowledge in the intersection of technology and sustainability.

Publications

YENİKAYA, MUHAMMED AKİF, KERSE, GÖKHAN, OKTAYSOY, ONUR (2024). Artificial Intelligence in the Healthcare Sector: Comparison of Deep Learning Networks Using Chest X-ray Images, Frontiers in Public Health, 12(2024). Doi: 10.3389/fpubh.2024.1386110

YENİKAYA, MUHAMMED AKİF, KAVAK, ONUR (2023). Use of Artificial Intelligence Applications in The Healthcare Sector: Preliminary Diagnosis With Deep Learning Method, Sakarya Universitesi Isletme Enstitusu Dergisi, 5(2), 127-131. Doi: 10.47542/sauied.1394746

YENİKAYA, MUHAMMED AKİF, GÜVENOĞLU, ERDAL (2021). Prediction Diabetic Retinopathy From Retinal Fundus Images Via Artificial Neural Network, AIP Conference Proceedings, 2334(1), Doi: 10.1063/5.0042204

YENİKAYA, MUHAMMED AKİF, OKTAYSOY, ONUR (2024). Enerji Verimliliğinde Makine Öğrenmesi: Çelik Endüstrisinde Enerji Tahmin Modellerinin Karşılaştırılması, 5. Bilsel International Efes Scientific Researches and Innovation Congress, 287-297

YENİKAYA, MUHAMMED AKİF, KAVAK, ONUR (2023). Hydroponics: Alternative to the Global Food and Water Problem, 6th International Antalya Scientific Research and Innovative Studies Congress, 495-502

YENİKAYA, MUHAMMED AKİF, GÜVENOĞLU, ERDAL (2023). Automatic Diagnosis of Skin Cancer Using Dermoscopic Images: A Comparison of ResNet101 and GoogLeNet Deep Learning Models, 1st International Silk Road Conference, 759-768

YENİKAYA, MUHAMMED AKİF, KERSE, GÖKHAN (2022). ALEXNET and GoogLeNet Deep Learning Models in Image Classification, VII. International European Conference on Social Sciences, 713-720

Conclusion

Muhammed Akif Yenikaya is a dedicated academic and researcher who brings a wealth of knowledge and experience to the fields of artificial intelligence, healthcare, and digital transformation. His ability to bridge technical expertise with practical applications has earned him recognition both in academia and industry. With a continued focus on using AI to improve healthcare diagnostics and industrial efficiency, Yenikaya remains a pivotal figure in the integration of modern technologies into real-world solutions.