Dr. Faijan Akhtar
Guangdong Provincial People's Hospital, CenBRAIN Neurotech center Hangzhou
0000-0001-9926-4150
About
Faijan Akhtar is a dynamic researcher specializing in cutting-edge technologies and an innovative researcher with over five years of experience in designing and developing methods for detecting Psycho-neurological disorders. He is Pursuing his Doctoral degree in Computer Science and Engineering from the University of Electronic Science and Technology of China, His research primarily focuses on bio-signal processing and medical machine learning, aiming to advance the field of biomedical engineering through innovative applications of machine learning techniques. Faijan has authored over 50 publications, including more than five as the first author, achieving a cumulative impact factor of 37, an h-index of 21, and over 1100 citations. His academic achievements include a Chinese Government Scholarship for his PhD and third position in the Academic Achievement Awards at UESTC in 2020. He is recognized as a country representative at UESTC and has served as a session chair at the IDITR 2023 conference in Chengdu, China.
Employment
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Guangdong Provincial People's Hospital Associate Researcher2025 - Present
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CenBRAIN Neurotech center Hangzhou Visiting Researcher2024 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (62)
- Efficacy of Pimpinella anisum L. in Menopausal Women with Psychological Symptoms: A Randomized Controlled Study Integrated with Machine Learning Analysis Save
- Lung Cancer in the New Era: Trends, Innovations, and Future Recommendations Save
- BSDS-ShareCrypt: a blockchain-enabled framework for secure, anonymous, and accountable data sharing in cloud-IoT environments using aggregate key searchable encryption Save
- Large Language Model: Future of Healthcare Research With Challenges Save
- A Novel Machine and Deep Learning–Based Ensemble Techniques for Automatic Lung Cancer Detection Save
- Internet of Things in Healthcare Research: Trends, Innovations, Security Considerations, Challenges and Future Strategy Save
- Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends Save
- Artificial Intelligence for Text Analysis in the Arabic and Related Middle Eastern Languages: Progress, Trends, and Future Recommendations Save
- A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown Save
- Efficacy of Marham-e-Dakhilyun Ointment and Alum Perineal Wash for Perineal Wound Healing and Pain Intensity in Postpartum Women: A Self-control Clinical Trial Save