Roseline Ogundokun | Diagnostics | Best Researcher Award

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Dr. Roseline Ogundokun | Diagnostics | Best Researcher Award 

Dr. Roseline Oluwaseun Ogundokun is a Nigerian computer scientist and researcher specializing in artificial intelligence, deep learning, and medical imaging. She serves as a lecturer and researcher at Landmark University and a postdoctoral fellow in South Africa. With dual doctoral degrees, over a hundred academic contributions, and active roles in international mentorship and editorial boards, she is recognized for her commitment to innovation, education, and sustainable development through cutting-edge research.

Dr. Roseline Ogundokun | Redeemer’s University | Nigeria

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GOOGLE SCHOLAR

Education

Roseline Oluwaseun Ogundokun has pursued an extensive academic journey that reflects her passion for computer science and software engineering. She holds a doctoral degree in Computer Science from the University of Ilorin, Nigeria, and is furthering her expertise with another doctoral degree in Software Engineering at Kaunas University of Technology, Lithuania. She has also earned a master’s degree in Computer Science from the University of Ilorin and a bachelor’s degree in Management Information Systems from Covenant University. Her academic development has been enriched through international exposure, including a postdoctoral fellowship at the Tshwane University of Technology in South Africa.

Experience

Roseline has built a distinguished academic and professional career in computer science, blending research, teaching, and mentorship. She serves as a lecturer and researcher at Landmark University, where she has made significant contributions to teaching, curriculum development, and student supervision. Her teaching experience also extends to Thomas Adewumi University and the Nigerian Army College of Education, where she has delivered courses in programming, software engineering, databases, and advanced computing concepts. She began her career as a tutor at Chapel Secondary School, where she taught computer science and mentored young learners. She has consistently advanced knowledge transfer while contributing to the growth and development of institutions she has served.

Awards and Recognition

Her contributions to science and academia have earned her recognition in editorial and professional communities. She serves on the editorial boards of respected journals such as PLOS ONE, Humanities and Social Sciences Communications, and Computers, Materials & Continua. Her role as a reviewer and committee member for international conferences, including IEEE events, highlights her reputation within the global research community. Additionally, her involvement in mentorship initiatives, such as the Empowering Female Minds in STEM program and the Deep Learning Indaba, reflects her commitment to academic excellence, gender empowerment, and capacity building in computer science.

Skills and Expertise

Roseline has developed expertise in programming and advanced computational frameworks. She is proficient in Python and has strong working knowledge of frameworks such as TensorFlow and Keras, which she applies in deep learning and artificial intelligence research. Beyond technical skills, she has demonstrated leadership through administrative roles including curriculum development, quality assurance, and conference organization. She has also excelled in mentoring undergraduate and postgraduate students, guiding them in innovative research projects.

Research Focus 

Her research interests cover a wide spectrum of computer science domains, particularly artificial intelligence, machine learning, deep learning, and data science. She is deeply engaged in applying computer vision and medical imaging techniques to solve real-world problems, especially in the health sector. Her work also extends to image processing, data mining, information security, and the Internet of Medical Things. She has focused on using machine learning and artificial intelligence to create impactful solutions aligned with sustainable development, particularly in healthcare, telecommunications, and industry.

Research Projects

Roseline Oluwaseun Ogundokun has actively contributed to innovative research projects at the intersection of artificial intelligence and healthcare. Her work includes applying machine learning and deep learning models to medical image analysis for early disease detection and diagnosis. She has also developed projects in computer vision, focusing on the recognition and classification of complex image datasets. Beyond healthcare, her projects extend to cybersecurity, data privacy, and intelligent systems that leverage big data for sustainable solutions. She has collaborated with international teams to address pressing challenges in telemedicine, the Internet of Medical Things, and predictive analytics, producing outcomes that support both academic advancement and practical real-world applications.

Publications

IoMT-based wearable body sensors network healthcare monitoring system
Authors: E.A. Adeniyi, R.O. Ogundokun, J.B. Awotunde
Journal: IoT in Healthcare and Ambient Assisted Living

Predictive modelling of COVID-19 confirmed cases in Nigeria
Authors: R.O. Ogundokun, A.F. Lukman, G.B.M. Kibria, J.B. Awotunde, B.B. Aladeitan
Journal: Infectious Disease Modelling

Improved CNN based on batch normalization and adam optimizer
Authors: R.O. Ogundokun, R. Maskeliunas, S. Misra, R. Damaševičius
Journal: International Conference on Computational Science and Its Applications

Application of big data with fintech in financial services
Authors: J.B. Awotunde, E.A. Adeniyi, R.O. Ogundokun, F.E. Ayo
Journal: Fintech with Artificial Intelligence, Big Data, and Blockchain

Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
Authors: R.O. Ogundokun, S. Misra, M. Douglas, R. Damaševičius, R. Maskeliūnas
Journal: Future Internet

Conclusion

Dr. Roseline Oluwaseun Ogundokun stands out as an accomplished researcher whose work bridges advanced computer science with real-world applications in healthcare, data science, and artificial intelligence. Her dual doctoral training, extensive publication record, and international collaborations underscore her global academic impact. Beyond her research, she has demonstrated strong leadership, mentorship, and commitment to sustainable development goals, making her a role model in STEM. With her proven ability to advance innovation and inspire future generations, she is highly deserving of recognition.

Igor Shirolapov | Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Igor Shirolapov | Neuroscience | Best Researcher Award 

Dr. Igor V. Shirolapov is an accomplished neuroscientist and physician, serving as Head of the Laboratory of Translational Research and Personalized Medicine at Samara State Medical University. With expertise spanning applied neuroscience, neurophysiology, immunology, and translational medicine, he has authored the scientific publications and contributed to innovative research in neurorehabilitation, digital health, and neuroimmune communication. His academic and clinical background reflects a strong commitment to advancing personalized approaches in healthcare and bridging science with practical applications.

Assoc. Prof. Dr. Igor Shirolapov | Samara State Medical University | Russia

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ORCID

Education

Igor Shirolapov holds a PhD in Medicine and has earned the academic title of Associate Professor. He also possesses certificates of specialization in practical medical disciplines in the fields of therapy, clinical immunology, and allergology, strengthening his expertise in both clinical practice and academic research.

Experience

He serves as the Head of the Laboratory of Translational Research and Personalized Medicine at the Research Institute of Neurosciences, Samara State Medical University, and is an Associate Professor in the Department of Physiology. Over his career, Igor Shirolapov has built extensive experience in clinical activities, scientific research, academic lecturing, and administrative responsibilities. He has contributed significantly to applied neuroscience, neurophysiology, and immunophysiology through teaching, publications, and leadership roles in both research and education.

Awards and Recognition

Igor Shirolapov has been recognized through authorship of more than one hundred scientific publications, including peer-reviewed articles, educational and methodological works, patents, and intellectual property certificates. His role as a participant and performer of scientific grants highlights his contributions to advancing translational and personalized medicine. He is also an active member of both international and Russian scientific societies and organizations, reflecting his standing in the scientific community.

Skills and Expertise

He combines a broad set of skills encompassing clinical medicine, neurophysiology, immunology, and pharmacology. His expertise extends to medical rehabilitation, applied neuroscience, and immunopharmacology, supported by practical and academic proficiency. Igor Shirolapov is skilled in scientific writing, research methodology, and project execution, with strong capabilities in leading laboratory teams and mentoring future professionals.

Research Focus 

His research interests are centered on applied neuroscience and neurophysiology, immunophysiology and immunopharmacology, as well as the study of age-associated, neurodegenerative, and stress-induced changes in humans. His work emphasizes translational and personalized medicine, with a focus on understanding biological processes and applying these insights to clinical rehabilitation and patient care.

Research Projects

Dr. Igor V. Shirolapov’s research projects span innovative areas of neuroscience and personalized medicine, including the development of smart e-textiles for digital health monitoring, the use of virtual reality technologies for cognitive rehabilitation in multiple sclerosis, investigations into the link between sleep deprivation and oxidative stress, exploration of vibration stimulation as a non-pharmacological method to modulate neural and immune communication, and the application of neurofeedback techniques to improve sleep quality and manage insomnia.

Publications

Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics
Authors: Neupokoeva A., Bratchenko I., Bratchenko L., Khivintseva E., Shirolapov I., Shusharina N., Khoimov M., Zakharov V., Zakharov A.
Journal: Frontiers in Neurology

Cognitive rehabilitation in multiple sclerosis: effectiveness and potential of virtual reality technologies. A review
Authors: Igor V. Shirolapov, Alexander V. Zakharov, Natalia P. Romanchuk, Yuliya S. Komarova, Mariya S. Sergeeva, Anna A. Shishkina, Elena V. Khivintseva, Irina A. Sharafutdinova
Journal: Bulletin of Rehabilitation Medicine

Sleep Deprivation and the Development of Oxidative Stress in Animal Models
Authors: O. P. Bukareva, O. N. Pavlova, D. S. Gromova, A. V. Zakharov, I. V. Shirolapov
Journal: Neuroscience and Behavioral Physiology

Approaches to Non-Pharmacological Modulation of Neural and Immune Communication: Therapeutic Potential of Vibration Stimulation
Authors: Igor V. Shirolapov, Olga N. Pavlova, Olga N. Gulenko, Polina M. Moskvitina
Journal: Kazan Medical Journal

The potential of neurofeedback control in treating insomnia and improving sleep quality (a systematic review)
Authors: A.V. Zakharov, I.V. Shirolapov
Journal: S.S. Korsakov Journal of Neurology and Psychiatry

Conclusion

Through his diverse and forward-looking research, Dr. Shirolapov integrates neuroscience, digital health technologies, and personalized medicine to address pressing challenges in neurology and rehabilitation. His work not only contributes to academic advancement but also paves the way for innovative, patient-centered therapies that can transform clinical practice and improve global health outcomes.