Dr. Divya
Saleela, Machine Learning Scientist, School of Built Environment, Engineering
and Computing, Leeds Beckett University, United Kingdom
I am Dr. Divya
Saleela, a Machine Learning Scientist with a Ph.D. in Computer Science and
Engineering, driving advancements in AI research and innovation in the United
Kingdom. My expertise lies in designing advanced AI and machine learning
solutions to tackle real-world challenges, with a focus on healthcare and
housing. I lead transformative projects funded by UK Research and Innovation
(UKRI), aimed at enhancing social equity and operational efficiency. With over
12 years of experience, my career seamlessly integrates research, teaching, and
practical AI applications.
Could you tell
us about your educational and professional journey?
I hold a Ph.D.
in Computer Science and Engineering from India and an MSc in Computing by
Research from the United Kingdom, with over a decade of diverse experience
across academia and industry. My academic career in India included roles such
as lecturer and assistant professor, where I was instrumental in designing
AI-focused curricula, mentoring students, securing funding for cutting-edge AI
applications, and organizing faculty development programs to elevate academic
standards. I also contributed to rural development initiatives through AI
research and innovation. Transitioning to the UK, I now lead major
interdisciplinary initiatives such as the UKRI-funded HOMEAI-ENABLE and
OTWISE-AI projects, which harness AI and VR technologies to address critical challenges
in housing adaptations and well-being. My professional journey reflects a
commitment to advancing AI-driven solutions for societal challenges, fostering
global research collaborations, and mentoring future researchers and technology
leaders.
What are your
key areas of expertise, skills, and current roles and responsibilities?
I specialize in
machine learning, data analysis, algorithm development, and the application of
AI in healthcare and housing. In my current role at Leeds Beckett University,
UK, I lead the HOMEAI-ENABLE project, which focuses on developing advanced AI
models to optimize housing adaptations for elderly and disabled individuals.
Additionally, I head the OTWISE-AI initiative, which leverages AI and VR
technologies to automate housing adaptation grants and enhance well-being. My
responsibilities encompass managing interdisciplinary research teams,
publishing high-impact studies, and mentoring the next generation of AI
innovators.
Could you tell
us about your Publications, Conferences, Patent, and Certifications?
I have an
extensive portfolio of contributions to international SCIE and Scopus-indexed
journals and conferences, focusing on AI-driven medical imaging, healthcare
solutions, and interdisciplinary innovations. My ongoing patent, an AI-powered
Automatic Vision Testing System, is designed to enhance diagnostic accuracy and
accessibility in healthcare, showcasing my commitment to practical, impactful
research. One of my publications earned the prestigious Best Paper Award at an
IEEE conference, reflecting the quality and significance of my work.
Beyond
publishing, I actively contribute to the academic and research community as a
Journal Reviewer for the Journal of Medical Imaging under SPIE publications,
USA, and as a UKRI Reviewer, evaluating high-impact research proposals to
advance global societal and academic initiatives. My certifications include
Microsoft Azure for Data Engineering, AI for Medical Diagnosis, and
Neuroscience for Neuroimaging, which highlight my continuous pursuit of
professional growth. These accomplishments reflect a dedication not only to
advancing AI innovation but also to fostering excellence in global research and
practical applications.
What inspired
you to pursue a career in education and research?
Growing up in
India, I was inspired by the transformative power of technology to solve
complex societal problems. This passion led me to pursue a career that combines
research, innovation, and teaching. My move to the United Kingdom provided
opportunities to work on impactful projects that align with my vision for
technology-driven societal progress. The ability to mentor students and
contribute to global AI advancements motivates me daily.
How do you keep
yourself informed about the latest developments in the field of education?
My research
interests focus on AI-driven medical imaging, healthcare innovations, and
interdisciplinary applications of machine learning and VR technologies, with a
commitment to addressing societal challenges. To stay informed about the latest
developments in education, I actively participate in international conferences,
workshops, and seminars that focus on advancements in technology and education.
I collaborate with global research teams and consistently publish in
high-impact journals, ensuring my knowledge stays relevant and impactful.
Additionally, I continuously enhance my skills through certifications in
emerging AI technologies, ensuring that my teaching and research remain at the
forefront of innovation. This proactive approach allows me to integrate
cutting-edge advancements into both my research and educational practices.
What advice
would you offer to students preparing to build their careers?
I advise
students preparing to build their careers to prioritize continuous learning and
adaptability, as these are vital for excelling in today’s fast-paced and
competitive tech-driven world. Focus on mastering the core principles of your
field while actively exploring interdisciplinary opportunities to diversify
your skill set and stay ahead of emerging trends. Building a robust
professional network through collaborations with global experts and
participation in high-impact projects can significantly enhance your career
trajectory. Additionally, developing a strong portfolio of certifications and
practical experiences will demonstrate your commitment to professional growth.
Above all, embrace challenges with resilience, foster an innovative mindset,
and remain curious, as these qualities will position you as a leader in
your chosen field.
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