Abstract submission due:
May 15, 2024
Paper submission due:
May 31, 2024
Paper acceptance due:
June 30, 2024
Conference date:
July 18-20, 2024
Conference Secretary:
Dr. Anne Zhang
Email:
icphhs@acamail.org
Keith W. Kelley:Emeritus Professor, University of Illinois at Urbana-Champaign, USA.
Research field:Interactions between the Nervous and Immune Systems and the Relationship Between Behavior and Health.
Dr. Kelley is an American immunophysiologist, researcher and academic who served as Editor-In-Chief of the scientific journal Brain, Behavior, and Immunity from 2003-2017 (Impact Factor > 6.0). Prior to this he served as President of the international Psychoneuroimmunology Research Society (PNIRS). The broad goal of Dr. Kelley’s research program has focused on discovering interactions between the nervous and immune systems and the relationship between behavior and health. These career research contributions have significantly impacted the major fields in psychoneuroimmunology, including some of the first studies on the effects of stress on immunity that continue today with Chinese colleagues, the restoration of immune functions in aged subjects by pituitary-derived hormones, the role of hormones on susceptibility to infectious disease and hematopoiesis, the molecular mechanisms that mediate the inhibitory effects of the proinflammatory cytokine TNFα on muscle, cancer and neuronal cells and the underpinnings of sickness and depressive-like behaviors. Throughout his 40 year career, Dr. Kelley has published over 350 scientific articles and book chapters and trained 58 graduate and post-doctorate students. Since 1978 he has been the principal or co-investigator of consecutive NIH grants totaling almost 40 million USD and served on six dozen NIH study sections. Professor Kelley has presented over 350 invited lectures in countries that include Australia, China, Taiwan, South Korea, Vietnam, Western and Eastern Europe, Russia, and South Africa. In 2011, he was elected as a Fellow of the American Association for the Advancement of Science in Medical Sciences for “…exceptional and scholarly contributions in brain, behavior, and immunity by recognizing and advancing the physiology of immunology and its role in communicating with the brain.” Since 2012, he has served as the Founder and Chairperson of the PNIRSAsia-Pacific affiliate and recently launched the PNIRSAsia-Pacific Global Research Connections website (https://pnirs.ansc.illinois.edu/#).
Jingshan Huang:Professor, School of Computing, College of Medicine, University of South Alabama, America.
Research field:Information Technology; Artificial Intelligence; Data Mining; and Biomedical Informatics; Ontology Matching/Alignment; Ontology Development; Ontology Quality; Semantic Web and Web Services; Semantics-Enhanced Data Mining; Biological and Biomedical Informatics; Distributed Heterogeneous Information Management.
Ahmed Hashash:Associate Professor of Biomedicine, Texas A&M University, USA.
Research field:Genes/Enzymes that Control Stem Cell Behavior and Regenerative Medicine.
Ahmed Hashash has completed his PhD from Manchester University, UK. He was a fellow of the California Institute of Regenerative Medicine (CIRM) and New York University Medical School (MSSM), USA. Prof. Ahmed Hashash worked as a senior biomedical research scientist at Mount Sinai School of Medicine of New York University and Children’s Hospital Los Angeles. He was Assistant Professor and Principal Investigator of Stem Cell & Regenerative Medicine at Keck School of Medicine and Ostrow School of Dentistry of the University of Southern California, USA. In August 2022, Prof. Hashash has joined Texas A &M University as Associate Professor of Biomedicine. From Jan 2017 to June 2022, Prof. Hashash joined the University of Edinburgh (UK)-Zhejiang Univ. Joint Institute of Biomedicine (now known as ZJUUoE Institute), as Associate Professor of Biomedicine. Prof. Hashash has several studies and publications on the genes/enzymes that control stem cell behavior and regenerative medicine. He has published more than 34 papers in reputed international journals and serving as an editorial board member of repute, in addition to over 17 book chapters. Prof. Hashash has received several international awards and recognitions over the years, including being the nominee for Kuwait Foundation for the Advancement of Science’s (KFAS) Prize in Applied Medical Sciences, and Manchester University Fellowship Award (UK). In, addiction, Prof. El-Hashash acts as a discussion leader at the prestigious Gordon Research Seminar/ Conference in USA, and a Peer Reviewer and International Extramural Review for The Medical Research Council (MRC) grant applications, London, UK. He is invited to speak at several international conferences in USA, Spain, Greece, Egypt, India, and China. He is the editor or author of over 10 books on stem cell and regenerative medicine that have been published by the prestigious publisher Elsevier and Springer. Prof. Hashash is currentlyBook Series Editor at Elsevier publisher, USA (2019-2028).
Carlos M. Travieso-González:Professor, Signals and Communications Department (DSC), Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Research field:
Alan Wang:Associate Professor, Faculty of Medical and Health Sciences and Bioengineering Institute, University of Auckland, New Zealand.
Research field:Intelligent Medical Informatics; Computational Life Science; Artificial Intelligence; Integrative Medicine; Pattern Recognition; Deep Learning; Intelligent Medical Interventions.
Alan Wang is a principal investigator and Associate Professor at University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, signal processing, data informatics, machine learning, and biomedical statistics and simulation. He has developed advanced data analytics methods for intelligent health and personalized diagnosis and prognosis based on signal processing and machine learning theories. He has experience analyzing huge cohorts of data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.