Biomedical Engineering Conference | BEACONGRESS2026 | Top Biomedical Engineering Conference | Biomedical Systems | Lisbon | Portugal | Top Conferences in Biomedical Engineering | Biomedical Engineering Colleges | Biomedical Engineering Department | Registration

Prof. Shang-Ming Zhou

University of Plymouth, UK

Title: Will Update

Professor Shang-Ming Zhou is a distinguished academic researcher of eHealth at the University of Plymouth, United Kingdom, where he serves as the Deputy Director of the Centre for Health Technology in the Faculty of Health: Medicine, Dentistry and Human Sciences. He specializes in the intersection of artificial intelligence (AI), data science, and healthcare. As the expert in health informatics, his work focuses on leveraging advanced health data science techniques—including machine learning, predictive modeling, and big data analytics—to enhance medical decision-making and patient care.

In implementation science, he is particularly interested in (big) data analytics and AI with electronic health data for personalised medicine, disease phenotyping, polypharmacy, multimorbidity, risk factors identification etc; clinical decision supports driven by type-1 OWA operators and type-2 OWA operators; machine learning and data mining applied to epidemiology and public health.

In developmental domains, he is particularly interested in developing and using explainable/transparent machine learning (i.e. XAI), type-1/ type-2 OWA operators and other AI technologies for electronic health records and –omics data to extract personally useful information, such as rules and patterns, concerning lifestyles and health conditions to promote healthier lifestyles and prevent disease.

The medical conditions to which he is particularly interested in applying AI and biomedical statistics techniques include, but are not limited to, the long-term health conditions such as cancer, dementia, mental health etc

By collaborating closely with healthcare providers, Professor Zhou ensures his innovations are grounded in real-world clinical needs, directly aiming to improve patient outcomes and healthcare efficiency.

An advocate for interdisciplinary collaboration, he bridges computer science, clinical practice, and public health, fostering partnerships that translate technological advancements into practical healthcare solutions. Recognized for his scholarly contributions, he actively participates in academic conferences, publishes in high-impact journals, and mentors emerging scholars. Professor Zhou’s work exemplifies the transformative potential of AI in creating data-driven, patient-centred healthcare systems, advancing modern medical informatics.

Dr. Orestis Ioannidis

Aristotle University of Thessaloniki, Greece

Title: Open abdomen and negative pressure wound therapy for acute peritonitis especially in the presence of anastomoses and ostomies

Dr. Ioannidis is currently an Assistant Professor of Surgery in the Medical School of Aristotle University of Thessaloniki. He studied medicine in the Aristotle University of Thessaloniki and graduated at 2005. He received his MSC in “Medical Research Methodology” in 2008 from Aristotle University of Thessaloniki and in “Surgery of Liver, Biliary Tree and Pancreas” from the Democritus University of Thrace in 2016. He received his PhD degree in 2014 from the Aristotle University of Thessaloniki as valedictorian for his thesis “The effect of combined administration of omega-3 and omega-6 fatty acids in ulcerative colitis. Experimental study in rats.” He is a General Surgeon with special interest in laparoscopic surgery and surgical oncology and also in surgical infections, acute care surgery, nutrition and ERAS and vascular access. He has received fellowships for EAES, ESSO, EPC, ESCP and ACS and has published more than 180 articles with more than 3000 citations and an H-index of 28

Keynote Speakers