Prince Yaw Owusu Amoako | Artificial Intelligence | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Prince Yaw Owusu Amoako | Artificial Intelligence | Best Researcher Award

Dr. Prince Yaw Owusu Amoako | Artificial Intelligence | Best Researcher Award

PhD Student at Nanjing University of Science and Technology, China.

Dr. Prince Yaw Owusu Amoako is a distinguished researcher and academician known for his contributions to [specific field]. With a strong passion for innovation and knowledge dissemination, he has made significant strides in advancing research and education. His work has influenced both theoretical and practical applications, shaping new paradigms in his field. As an accomplished scholar, he has authored numerous publications in high-impact journals and has presented at international conferences. His dedication to research excellence and mentorship has earned him a reputable standing among peers and students alike.

Professional Profile

Education

Dr. Amoako holds a [Doctorate/Master’s/Bachelor’s degree] in [Field] from [University Name], where he specialized in [specific research area]. His academic journey has been marked by a commitment to excellence, having received various scholarships and academic accolades. During his postgraduate studies, he conducted groundbreaking research on [topic], which laid the foundation for his future contributions. His multidisciplinary education has equipped him with a holistic understanding of [field], fostering a comprehensive approach to solving complex challenges.

Professional Experience

With extensive experience in academia and industry, Dr. Amoako has held pivotal roles in research, teaching, and professional practice. He has served as a [Position] at [Institution/Organization], where he played a crucial role in curriculum development, research supervision, and academic leadership. Beyond academia, he has collaborated with industry leaders on innovative projects, bridging the gap between theoretical research and real-world applications. His professional journey reflects a deep commitment to fostering knowledge and technological advancements.

Research Interest

Dr. Amoako’s research interests encompass a wide range of topics, including [specific areas such as Artificial Intelligence, Biomedical Research, Structural Engineering, etc.]. He is particularly focused on addressing contemporary challenges through innovative methodologies and interdisciplinary collaboration. His research aims to push the boundaries of knowledge, providing impactful solutions to industry and society. His passion for inquiry-driven discovery continues to inspire new research directions.

Research Skills

Equipped with a robust skill set, Dr. Amoako is proficient in various research methodologies, statistical analyses, and advanced technological tools. His expertise includes data analytics, machine learning, experimental design, and scientific writing. He is adept at utilizing cutting-edge software and laboratory techniques, ensuring precision and reliability in his research findings. His methodological rigor and analytical acumen have contributed to numerous successful projects.

Awards and Honors

Dr. Amoako has been recognized with multiple prestigious awards for his contributions to research and academia. These accolades include [list specific awards, fellowships, grants, or honorary recognitions]. His outstanding achievements have been celebrated by renowned institutions and professional organizations, reflecting his excellence and leadership in the field. His recognitions serve as a testament to his relentless pursuit of academic and research excellence.

Conclusion

In conclusion, Dr. Prince Yaw Owusu Amoako stands as a beacon of academic and research excellence. His dedication to advancing knowledge, mentoring young researchers, and contributing to real-world solutions highlights his impact on both academia and industry. His journey is a testament to perseverance, innovation, and scholarly commitment. Moving forward, he continues to strive for excellence, leaving a lasting legacy in his field. His work not only enriches the academic community but also contributes to global advancements, making him a distinguished figure in research and education.

Publication Top Notes

  • Causes of Failure of Students in Computer Programming Courses: The Teacher–Learner Perspective
    Authors: KAM Sarpong, JK Arthur, PYO Amoako
    Journal: International Journal of Computer Applications 77
    Year: 2013
    Citations: 113
  • Performance of students in computer programming: Background, field of study and learning approach paradigm
    Authors: PYO Amoako, KA Sarpong, JK Arthur, C Adjetey
    Journal: International Journal of Computer Applications 77 (12)
    Year: 2013
    Citations: 19
  • Dual sparse representation graph-based copropagation for semisupervised hyperspectral image classification
    Authors: Y Zhang, G Cao, B Wang, X Li, PYO Amoako, A Shafique
    Journal: IEEE Transactions on Geoscience and Remote Sensing 60
    Year: 2021
    Citations: 12
  • Emerging bimodal biometrics authentication for non-venue-based assessments in open distance e-learning (OdeL) environments
    Authors: PYO Amoako, IO Osunmakinde
    Journal: International Journal of Technology Enhanced Learning 12 (2)
    Year: 2020
    Citations: 9
  • Adoption of mobile payment systems in Ghana
    Authors: WO Larkotey, PY Amoako, EA Laryea, E Dey
    Journal: International Journal of Societal Applications of Computer Science 2 (4)
    Year: 2013
    Citations: 5
  • ChatGPT Implementation in the Metaverse: Towards Another Level of Immersiveness in Education
    Authors: M Adarkwah, A Tlili, B Shehata, R Huang, PYO Amoako, H Wang
    Journal: Applications of Generative AI
    Year: 2024
    Citations: 4
  • Smart teaching versus hard teaching: Insights from instructors from old and new classrooms in Ghana
    Authors: MA Adarkwah, J Odame, R Huang, H Wang, PYO Amoako
    Journal: E-Learning and Digital Media
    Year: 2024
    Citations: 3
  • An Image-Based Cocoa Diseases Classification Based on an Improved Vgg19 Model
    Authors: PYO Amoako, G Cao, JK Arthur
    Journal: Applied Research Conference in Africa
    Year: 2022
    Citations: 3
  • A Meta-reinforcement Learning based Hyperspectral Image Classification with Small Sample Set
    Authors: PYO Amoako, G Cao, D Yang, L Amoah, Y Wang, Q Yu
    Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    Year: 2023
    Citations: 2
  • The Topology of Virtual Learning Environment Technologies in Institutions of Higher Learning in Ghana
    Authors: S Hatsu, PYO Amoako, MU Mabeifam
    Journal: International Journal of Computer Applications 93 (19)
    Year: 2014
    Citations: 1

 

 

Bijetri Biswas | Cognitive Robotics | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Bijetri Biswas | Cognitive Robotics | Best Researcher Award

Mrs Bijetri Biswas | Cognitive Robotics | Best Researcher Award🏆

University of Bristol, School of Engineering, maths and computer science. Buckingham New University,Bristol Medical School.🎓 

 

Bijetri Biswas, also known as Immi, is a dedicated academic professional and EEG specialist currently residing in London, UK. She is pursuing a PhD in Digital Health and Care at the University of Bristol, where her research focuses on developing neurotechnologies for monitoring sleep and designing soft robotics for patients with neurodegenerative diseases. In addition to her academic pursuits, she holds multiple roles, including a lecturer in health, an EEG specialist, and an honorary cognitive disorders associate. Bijetri’s career is driven by her passion for neuroscience and her commitment to improving clinical outcomes for neurological patients.

Professional Profile 

Education🎓

Bijetri’s academic journey began with a BSc (Hons) in Neuropsychology from the University of Central Lancashire (2015-2018), where her thesis explored the influence of sleep on emotional voice recognition through EEG studies. She then pursued an MSc in Cognitive Neuroscience at the University of Nottingham (2019-2020), with a thesis focused on developing a multi-modal imaging protocol using MRI to measure visual function in stroke patients. Continuing her academic pursuits, Bijetri completed another MSc, this time in Digital Health and Care at the University of Bristol (2020-2021), where she researched digital measures to augment personalized care in clinical trials for neurodegenerative diseases. Currently, she is completing a PhD at the same university (2021-2024) as part of the EPSRC CDT program, with a project titled “Neurotechnologies to monitor sleep and develop soft robotics for neurodegenerative patients.”

 💼Work Experience

Bijetri has gained extensive professional experience across diverse roles in both academic and clinical settings. Since April 2024, she has been serving as a lecturer in health at the London School of Science and Technology, where she teaches and supervises both undergraduate and postgraduate students. Alongside this, she works as an EEG specialist at NeuroX, where she monitors and interprets brain activity to aid in diagnosing neurological disorders such as epilepsy. Since 2020, she has been contributing to the North Bristol Trust as an Honorary Cognitive Disorders Associate, where she assists in neuropsychological assessments and contributes to multidisciplinary discussions for patient care. Her earlier experience includes roles such as an Occupational Therapy Assistant at Fairlie Healthcare, a Technical Consultant at AniBotics Limited, and an Assistant Psychologist at Cygnet Hospital. She also gained valuable experience working as a helpline counsellor, business consultant, and SEN teaching assistant in various organizations.

 🛠️Skills

Bijetri possesses a wide range of technical skills, particularly in programming and research tools. She is proficient in programming languages such as MATLAB, Python, and Java, and has expertise in UNIX/Linux systems. In the field of neuroscience and clinical research, she has hands-on experience with FSL for neuroimaging analysis, as well as SPSS and R for statistical analyses. Additionally, she is skilled in NVIVO for qualitative data analysis and RedCap for managing research data. Her proficiency also extends to Microsoft Office tools, including Word, Excel, and PowerPoint, and she has experience with Fusion 360 for design purposes.

 🏆Awards and Honors

Throughout her career, Bijetri has earned several qualifications and recognitions that highlight her dedication to both research and clinical practice. She was awarded a prestigious internship on the Dean’s List at the University of Central Lancashire during her undergraduate studies, from 2016 to 2018. In 2021, she completed Good Clinical Practice training through the National Institute for Health Research (NIHR), further cementing her expertise in ethical research practices. Additionally, she received Phlebotomy Training from the CPD Group in 2023 and completed Safeguarding Training for Child Abuse and Neglect in 2019 through Manchester Safeguarding.

👩‍🏫 Teaching and Mentorship

Bijetri’s teaching experience is diverse, spanning multiple disciplines and academic levels. As a lecturer at the London School of Science and Technology, she leads courses for both undergraduate and postgraduate students, focusing on health-related subjects. She also serves as a Teaching Assistant at the University of Bristol, where she teaches modules on neuropsychiatry, psychology, and digital health case studies. Her teaching extends to second-year medical students, as well as MSc and undergraduate students in computer science and engineering, where she imparts her knowledge of human-computer interaction design and neuropsychology.

 Research Focus 🔬

Bijetri’s research interests are at the intersection of neuroscience and digital health. Her current PhD project focuses on the development of neurotechnologies to monitor sleep and create soft robotics for neurodegenerative patients, which could revolutionize care for conditions like Parkinson’s and Alzheimer’s disease. She has also contributed to research on digital health measures that personalize care delivery in clinical trials for neurodegenerative diseases. Additionally, her earlier work involved developing MRI-based protocols to assess visual function in stroke survivors, showcasing her ability to apply advanced imaging techniques to neurological research.

📖Publications : 

  • Autoethnography of Living with a Sleep Robot
    📅 Year: 2024
    📰 Journal: Multimodal Technologies and Interaction
    🔗 DOI: 10.3390/mti8060053
    ✍️ Topic: Exploration of personal experiences living with a sleep robot through an autoethnographic lens.
  • Remote Evaluation of Sleep and Circadian Rhythms in Older Adults With Mild Cognitive Impairment and Dementia: Protocol for a Feasibility and Acceptability Mixed Methods Study
    📅 Year: 2024
    📰 Journal: JMIR Research Protocols
    🔗 DOI: 10.2196/52652
    ✍️ Topic: Mixed-methods study protocol for remote monitoring of sleep and circadian rhythms in older adults with cognitive impairments.
  • Remote Evaluation of Sleep and Circadian Rhythms in Older Adults With Mild Cognitive Impairment and Dementia: Protocol for a Feasibility and Acceptability Mixed Methods Study (Preprint)
    📅 Year: 2023
    📰 Preprint
    🔗 DOI: 10.2196/preprints.52652
    ✍️ Topic: Preprint of a feasibility study protocol for remote sleep and circadian rhythm evaluation in cognitively impaired older adults.
  • Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review
    📅 Year: 2021
    📰 Journal: Sensors
    🔗 DOI: 10.3390/s21248261
    ✍️ Topic: Systematic review on the use of wearable GPS and accelerometers to monitor physical activity in patients with neurodegenerative disorders.