Ali Ghulam | AI in Healthcare | Best Researcher Award

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Dr. Ali Ghulam | AI in Healthcare | Best Researcher Award

Assistant Professor at Information Technology Centre, Sindh Agriculture University, Pakistan

Dr. Ghulam Ali is an accomplished academic and researcher specializing in artificial intelligence (AI) and bioinformatics. He earned his Ph.D. in Computer Software and Theory from Shaanxi Normal University, Xi’an, China, in 2020. Currently, he serves as an Assistant Professor at the Information Technology Centre, Sindh Agriculture University, Tandojam. His research focuses on human disease pathway network modeling, biological pathway database discovery, and AI-driven predictions related to proteins, drugs, and diseases. With over 20 published SCI articles in high-impact journals and extensive contributions to machine learning applications in bioinformatics, Dr. Ali is a recognized expert in his field.

Profile

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Education

Dr. Ali pursued his Ph.D. from Shaanxi Normal University, Xi’an, China, specializing in bioinformatics and AI. His thesis, titled “Prediction of Pathway Related Protein, Drug and Disease Association Based on Complex Network and Deep Learning,” was supervised by Prof. Xiujuan Lei. He completed his M.Phil. in Computer Science with a specialization in Search Engine Optimization from the University of Sindh, Jamshoro. His academic journey began with a Bachelor of Computer Science (BCS-Hons) from the same university. Additionally, he obtained various certifications and diplomas in information technology, further strengthening his expertise in computing and AI.

Experience

Dr. Ali has a strong academic and research background, currently holding the position of Assistant Professor at Sindh Agriculture University, Tandojam. His professional journey includes extensive work on bioinformatics, AI-based predictive models, and computational biology. He has contributed significantly to research in AI applications for human protein sequence analysis, disease detection, and biomedical data transformation. With a deep understanding of AI, deep learning, and machine learning techniques, he has played a pivotal role in advancing bioinformatics research and education.

Research Interests

Dr. Ali’s research primarily revolves around bioinformatics and artificial intelligence. He is particularly focused on human disease pathway modeling, drug-protein interaction prediction, and machine learning applications in genomics. His work involves utilizing AI to enhance precision diagnostics, early-stage disease detection, and advanced biomedical data analysis. By leveraging deep learning and AI-driven methodologies, Dr. Ali aims to improve healthcare analytics and disease treatment strategies. His research has practical implications in the fields of computational biology, digital health frameworks, and AI-driven medical solutions.

Awards and Recognitions

Dr. Ali has received numerous accolades for his contributions to AI and bioinformatics research. His high-impact factor publications and citations reflect his significant contributions to the scientific community. With an H-index of 12 on Google Scholar, an i10-index of 18, and a ResearchGate H-index of 11, his research has been widely recognized and cited. He has also been nominated for various research excellence awards, highlighting his influence in the field of computational biology and AI-driven biomedical advancements.

Publications

Ali, Ghulam, et al. (2025). “StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach.” IET Systems Biology, 19(1), e70002. (SCI, IF: 1.9, Cited by: X).

Arif, Muhammad, et al. (2024). “StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features.” Methods, 230, 129-139. (SCI, IF: 4.02, Cited by: X).

Arif, Muhammad, et al. (2024). “DPI_CDF: Druggable protein identifier using cascade deep forest.” BMC Bioinformatics, 25(1), 1-18. (SCI, IF: 3.09, Cited by: X).

Talpur, Fauzia, et al. (2024). “ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization.” Sensors, 24(5), 1672. (SCI, IF: 3.09, Cited by: X).

Ghulam, Ali, et al. (2024). “Assessment of Performance of Machine Learning Classification Techniques for Monkey Pox Disease Detection.” Journal of Innovative Intelligent Computing and Emerging Technologies, 1(1), 1-7. (Cited by: X).

Memon, Mukhtiar, et al. (2023). “AiDHealth: An AI-enabled Digital Health Framework for Connected Health and Personal Health Monitoring.” (Cited by: X).

Sikander, Rahu, et al. (2023). “Identification of cancerlectin proteins using hyperparameter optimization in deep learning and DDE profiles.” Mehran University Research Journal of Engineering & Technology, 42(4), 28-40. (WoS, Cited by: X).

Conclusion

Dr. Ghulam Ali is a distinguished researcher and academician in the field of artificial intelligence and bioinformatics. His contributions to AI-driven biomedical research, particularly in disease pathway modeling and predictive analytics, have significantly advanced the field. With a strong publication record, multiple citations, and a commitment to innovation, he continues to influence computational biology and digital health research. His work bridges the gap between AI and medical sciences, paving the way for future breakthroughs in bioinformatics and AI-driven healthcare solutions.

yang Li | AI in Healthcare | Best Researcher Award

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Prof. yang Li | AI in Healthcare | Best Researcher Award

Chief physician at First Hospital of Shanxi Medical University, China

Dr. Yang Li is a distinguished Chief Neurologist at the First Hospital of Shanxi Medical University, with over three decades of experience in cognitive disorder research and clinical practice. He holds a Doctor of Medicine (M.D.) degree and serves as a doctoral advisor. As the head of the Core Advanced Cognitive Center, he has played a pivotal role in advancing cognitive health initiatives in China. His contributions include the establishment of Shanxi Province’s first memory clinic in 2009, which received national recognition in subsequent years. Dr. Li has spearheaded multiple projects focused on Alzheimer’s disease (AD) and Parkinson’s disease (PD), significantly enhancing early detection and patient care strategies. Recognized for his exceptional contributions, he has been awarded the Second Prize of the Shanxi Provincial Science and Technology Progress Award and was selected as a leading talent under the “San Jin Talents” Support Program.

Profile

Scopus

Education

Dr. Yang Li obtained his Doctor of Medicine (M.D.) degree, equipping him with the expertise necessary for his extensive work in neurology and cognitive disorders. As a dedicated academic, he has mentored numerous doctoral candidates, guiding them in clinical research. His academic journey reflects a strong commitment to advancing neurological science, particularly in memory and cognitive function research. His efforts have contributed significantly to the development of national health policies and innovative diagnostic techniques for neurodegenerative disorders.

Experience

With more than 30 years in the field, Dr. Li has played a transformative role in neurology, specializing in cognitive disorders. His leadership at the First Hospital of Shanxi Medical University has resulted in numerous breakthroughs in early detection and treatment methodologies for conditions such as Alzheimer’s and Parkinson’s disease. Dr. Li has also been instrumental in establishing national training programs, including the Cognitive Specialty Capacity Building Project initiated by the National Health Commission. His expertise extends beyond clinical practice to impactful policy formulation and implementation. His work in digital screening tools and community-based healthcare projects underscores his innovative approach to neurological health.

Research Interests

Dr. Li’s research is primarily centered on cognitive disorders, particularly Alzheimer’s disease and other neurodegenerative conditions. He has pioneered advancements in early screening tools and interventions, integrating digital diagnostics such as neuroimaging assessments, PET-CT scans, and gait analysis. His recent initiatives focus on community-based screening, aiming to develop scalable and efficient methods for detecting mild cognitive impairment (MCI) and dementia in aging populations. His work contributes significantly to global research in cognitive health, emphasizing preventive strategies and innovative therapeutic approaches.

Awards

Dr. Li’s contributions to cognitive neurology have earned him numerous accolades. He was honored with the Second Prize of the Shanxi Provincial Science and Technology Progress Award in recognition of his pioneering research in neurodegenerative disorders. In 2018, he was selected as a leading talent under the “San Jin Talents” Support Program. His memory clinic, established in 2009, was recognized as a “National Outstanding Memory Clinic” in both 2013 and 2014. His dedication to advancing early screening and intervention methods for cognitive impairments has positioned him as a key figure in neurological research and healthcare innovation.

Publications

Dr. Li has contributed extensively to the scientific community with high-impact publications in leading journals. Some of his notable works include:

Qin Y, Han H, Li Y, et al. (2023). “Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment.” Neurology, 100(3), e297-e307. [Cited by 120 articles].

Jia J, Zhao T, Liu Z, et al. (2023). “Association between Healthy Lifestyle and Memory Decline in Older Adults: 10-Year Prospective Cohort Study.” BMJ, 380, e072691. [Cited by 95 articles].

Wu H, Ren Z, Gan J, et al. (2022). “Blood Pressure Control and Risk of Post-Stroke Dementia.” Front Neurol, 13, 1069667. [Cited by 87 articles].

Zhang X, Lv L, Min G, Wang Q, Zhao Y, Li Y. (2021). “Complex Figure Test and Its Clinical Application in Neuropsychiatric Disorders.” Front Neurol, 12, 680474. [Cited by 78 articles].

Xu SY, Song MM, Liu DY, et al. (2024). “Contrast-Induced Encephalopathy with Elevated Cerebrospinal Fluid Protein.” Br J Neurosurg, 38(4), 963-967. [Cited by 56 articles].

Wang F, Fei M, Hu WZ, et al. (2022). “Prevalence of Constipation in Elderly and Its Association with Dementia.” Front Neurosci, 15, 821654. [Cited by 102 articles].

Xing Y, Zhu Z, Du Y, et al. (2020). “COG-REAGENT: Cognitive Training in Amnestic Mild Cognitive Impairment.” J Alzheimers Dis, 75(3), 779-787. [Cited by 112 articles].

Conclusion

Dr. Yang Li has made remarkable contributions to cognitive neurology through his pioneering research, clinical expertise, and commitment to early detection of neurodegenerative disorders. His leadership in community-based screening projects and digital health interventions has significantly advanced the field of cognitive disorders. With numerous prestigious awards, high-impact publications, and dedicated mentorship, Dr. Li continues to shape the landscape of Alzheimer’s and dementia research. His work not only enhances diagnostic methodologies but also fosters preventive healthcare strategies, making a lasting impact on the global fight against cognitive decline.