Prof. Dr. Mufti Mahmud | Healthcare Awards | Best Researcher Award

Prof. Dr. Mufti Mahmud, King Fahd University of Petroleum and Minerals, Saudi Arabia

Dr. Mufti Mahmud is a renowned Professor of Cognitive Computing, currently serving in the Department of Information and Computer Science at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia. With a rich academic and research background, he specializes in artificial intelligence, cognitive computing, data analytics, neuroscience, and ethics, with a commitment to developing safe and trustworthy AI systems. Dr. Mahmud has been recognized as one of the world’s top 2% cited scientists in computer science and has authored over 350 peer-reviewed publications across journals, conferences, and books. He has also received prestigious accolades, including the Marie-Curie Postdoctoral Fellowship and the Vice Chancellor’s Outstanding Researcher Award from Nottingham Trent University. His interdisciplinary research, which he terms ‘Brain Informatics,’ merges applied data science, big data analytics, healthcare, computational neuroscience, cybersecurity, and machine learning to advance health-care access, particularly in low-resource settings. Dr. Mahmud has held significant roles at institutions like Nottingham Trent University, the University of Padova, and the University of Antwerp, where he contributed to high-impact research and guided numerous students and junior researchers. In addition, he serves as the Chief Editor for the “Applied Intelligence and Informatics” book series and as an editor for several prominent journals. Dr. Mahmud’s work continues to bridge the interface of technology and healthcare, making meaningful contributions to both fields.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Mufti Mahmud stands out as an exceptional candidate for the Best Researcher Award due to his deep expertise, extensive contributions, and influential impact in the fields of artificial intelligence, data analytics, cognitive computing, and neuroscience. His commitment to advancing safe and ethical AI technologies that prioritize healthcare access and quality of life, particularly in low-resource settings, reflects his dedication to meaningful and responsible innovation.

Education:

Nottingham Trent University, Nottingham, UK
- Post-Graduate Certificate in Academic Practice (Fellowship of Higher Education Academy), 09/2018 – 05/2020
University of Padova, Padova, Italy
- Ph.D. in Information Engineering (Bioengineering Curriculum), 01/2008 – 03/2011
University of Trento, Trento, Italy
- M.S. in Nano and Micro Electromechanical Systems (NEMS/MEMS), 10/2006 – 02/2008
University of Mysore, Mysore, India
- M.Sc. in Computer Science, 07/2001 – 06/2003
University of Madras, Madras, India
- B.Sc. in Computer Science, 07/1998 – 06/2001

Work Experience:

King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
- Professor of Cognitive Computing in the Information and Computer Science Department, 10/2024 – Present
  - Conducts research in safe AI, emphasizing methodologies for AI system reliability, fairness, and transparency. Generates research income through grants, publishes in top journals, and supervises students and mentors colleagues.
Nottingham Trent University, Nottingham, UK
- Director of Cognitive Computing and Brain Informatics Research Group, 08/2022 – 10/2024
- Associate Professor in Cognitive Computing, 08/2021 – 10/2024
- (Senior) Lecturer of Computer Science, 04/2018 – 07/2021
  - Focused on safe AI, leading B11 REF Unit of Assessment, organizing seminars, securing competitive research grants, and supervising students.
University of Padova, Padova, Italy
- Senior Postdoctoral Researcher, NeuroChip Lab, Department of Biomedical Sciences, 03/2015 – 03/2018
- Postdoctoral Researcher, 01/2011 – 01/2013
- Research Assistant, 01/2008 – 12/2010
  - Led research on in-vivo neuronal networks with high-resolution CMOS chips, securing grants, publishing research, and mentoring students.
University of Antwerp, Antwerp, Belgium
- Marie-Curie Experienced Researcher in Theoretical Neurobiology & Neuroengineering Lab, 02/2013 – 01/2015
  - Conducted research on in-vitro neural networks using MEA, secured research funding, published in prominent journals, and supervised students.
Jahangirnagar University, Dhaka, Bangladesh
- Assistant Professor at the Institute of Information Technology, 09/2011 – 01/2016
  - Applied for grants, supervised student research, published findings, and designed curricula for doctoral and professional master’s programs.
Molecular Stamping S.r.l., Trento, Italy
- Intern, 06/2007

Publication top Notes:

Applications of Deep Learning and Reinforcement Learning to Biological Data

CITED:889

2022 roadmap on neuromorphic computing and engineering

CITED:442

Deep Learning in Mining Biological Data

CITED:368

Interpreting black-box models: a review on explainable artificial intelligence

CITED:317

Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and …

CITED:282

Assoc. Prof. Dr. Claudia-Camelia Burcea, University of Medicine and Pharmacy Carol Davila, Romania

Claudia Camelia Burcea is a researcher with a focus on the ethical and medico-legal implications of digital technologies in healthcare, particularly in dentistry. She has published several significant articles in reputable journals, including the Romanian Journal of Legal Medicine and the Balneo and Prm Research Journal. Her work spans various topics, including the time-efficacy of treatments for spinal muscular atrophy and rehabilitation methodologies following proximal humerus fractures. With a total of 25 publications and an H-index of 6 from 2019 to 2024, Claudia’s contributions to the field reflect her commitment to advancing medical knowledge and improving patient care. She actively engages with contemporary issues in healthcare, notably the impact of the COVID-19 pandemic on pharmaceutical practices.

Suitability for Best Researcher Award

Claudia Camelia Burcea’s recent focus on ethical, medico-legal, and rehabilitation aspects of healthcare technology aligns with significant healthcare challenges. Her work, particularly in interdisciplinary areas that connect dentistry, quality of life, and rehabilitation, provides meaningful insights that could contribute positively to the award’s criteria. However, her recent publication metrics (H-index of 1 and lower citation count over the past five years) may be viewed as modest compared to other researchers with a stronger recent impact profile.