Insights of Bioinformatics

Dr. Andrew Kusiak is Professor and Chairman of the Department of Mechanical and Industrial Engineering at the University of Iowa, United States of America. He was the Program Director in Department of Mechanical and Industrial Engineering at University of Iowa. He also worked as Associate Professor in Department of Mechanical Engineering at University of Manitoba. He has completed his PhD in Operations Research from Polish Academy of Sciences (1975 – 1978). Dr. Andrew Kusiak's research interest includes applications of computational intelligence and innovation science in manufacturing, engineering design, healthcare, and energy, in particular, wind farm performance, wind turbine control, diagnostics, predictive engineering, power optimization, and management.

Dr. Daniel A Mercola is Professor of Pathology and Director of Translational Cancer Biology in University of California, USA. He worked as Professor in Sidney Kimmel Cancer Center, University of California. He also worked as associate professor at Rebecca and John Moores Cancer Center, University of California at San Diego. He was the Co-leader for Cancer Prevention and Prognosis Program and Deputy Director for Personalized Medicine. He received his PhD in Biophysics from University of California. Dr. Mercola's Current research interst is focused on analysis of which genes have functional roles through the use of cell models, expression analysis, and chip-on-chip and chip-sequencing studies.

Dr. Ken H Young is Professor at The University of Texas MD Anderson Cancer Center, United states of america. He worked as Associate Professor at The University of Texas MD Anderson Cancer Center, Houston, USA. Dr. Young was also Assistant Professor at University of Wisconsin School of Medicine and Public Health, USA. He was Medical Director of Hematology at the University of Wisconsin School of Medicine and University East & West Clinic Laboratories, overseeing the laboratories at the University of Wisconin Hospital and Clinics Core Laboratory. He received his PhD from University of Lund School of Medicine and completed his MD training from Oregon Health Science University. His interests are to characterize molecular defects in patients with leukemia and lymphoma by using gene expression profiling, immunophenotypic method, methylation-microRNA-CGH arrays and current NGS molecular technologies with particular interest in tumor suppressor genes, oncogenes, p53 and NF-kB pathways. He has worked extensively on molecular diagnostics for human cancer and has obtained several novel discoveries valuable to predict treatment response, clinical outcome and survival in cancer patients.

Dr. Farid Menaa is an inter-and multi-disciplinary professional-Professor, Director, Entrepreneur and Consultant, he was awarded with a National Master in Genetics in 1999 and PhD in Medicine (Geriatry/Gerontology, Biochemistry and Biophysics) in 2003, both with highest distinctions from prestigious French universities. Dr. Menaa followed a post-doctoral in Oncology as a NIH-fellow (San Diego, California, USA; 2004–2007), during which he discovered a novel radiation-induced DNA Damage Signaling Pathway.Dr. Menaa was promoted as Chief Scientific Officer and Vice-President R&D at Fluorotronics, Inc. (CA, USA; 2009–1010), during which he actively participated in the development of Carbon-Fluorine Spectroscopy (CFS, aka Spectro-Fluor™) for bio-medical and pharmaceutical applications. Further, Dr. Menaa was appointed Principal Investigator in Hematology and Genomics as a FAPESP-Fellow (Sao Paulo, Brazil; 2010–2012) during which he discovered new genetic variants of stroke in sickle cell anemia patients. Dr. Menaa's main current focuses are related to preventive, personalized, translational, integrative and nanomedicine, especially in the areas of oncology, regenerative medicine and gerontology, in order to prevent and implement early diagnosis and efficient therapy.

Dr. Donna Lee Hudson is Professor in Department of Family & Community Medicine at University of California, USA. She is currently Director of Academic Research and Technology at University of California,USA. Dr. Hudson also worked as Associate Professor and Assistant Professor at University of California, USA. She has received her Ph.D. from UCLA School of Engineering and Applied Science (1981) and has been on the Faculty of University of California since then. She was the 2011 IEEE Vice President of Technical Activities. She is a Past-President of ISCA. Dr. Hudson's research interests includes Medical Decision Support Systems, modeling of biological systems, neural networks, intelligent agent models for disease management, nonlinear dynamical analysis of biomedical signals, hybrid systems for differentiation of types of dementia, hybrid systems for medical diagnosis, technologies for personalized medicine, trend analysis in electronic medical records, point of care healthcare technologies.

Dr. Rafael Gonzalez-Alvarez is working as Professor from Department of Medicine, Autonomous University of Guadalajara, Mexico. Dr. Gonzalez-Alvarez completed his Masters and PhD in Genetic Engineering and Molecular Biology at the Autonomous University of Nuevo Leon. He also worked as was Professor at the Higher Education Institute of Monterrey Campus Guadalajara. Dr. Alvarez's research interests include: Discovery of new genes and its transcripts in non-human primates to infer their phylogenetic relationship with their human counterparts; Discovery of new biomarkers as new early diagnostic tools for breast cancer.

Prof. Jing Wang is Professor in the Department of of Bioinformatics and Computational at the University of Texas MD Anderson Cancer Center (MDACC), Unted States of America. Jing Wang worked as a Co-Director of Bioinformatics Shared Resource. Jing Wang recieved his Ph.D. in Biophysics from University of Manitoba/National Research Council of Canada, USA. He completed his BSc.MSc in Physics at University of Manitoba, Canada. He has experience of 18 years in Bioinformatics and focus on (1) Basic research in developing and applying computational and classification methods for "omic" data; (2) Collaborative research efforts with biologists/clinicians in the discovery of biomarkers for cancer diagnosis, prognosis, and tumor subtype classification. Jing Wang's research interests includes in analytical and translational bioinformatics and focus on the development and application of computational methods to high-throughput molecular profiling, and systems biology data, including: Cancer diagnostic, prognostic therapeutic biomarkers discovery, Development and application of data-mining, prediction and validation techniques.

Panagiotis Vlamos is a Full Professor, Chairman of the University Research Center of the Ionian University and Director of the Bioinformatics and Human Electrophysiology Laboratory (BiHELab) at the Ionian University. He has authored more than 200 papers in peer-reviewed journals and conference proceedings as well as 16 educational books. The topics of his papers are Mathematical Modelling, Applied and Discrete Mathematics as well as Bioinformatics. His main research interest ισ to help bridge the translational gap from data to models and from models to drug discovery and personalized therapy by developing quantitative deterministic approaches to biological and clinical problems by utilizing high-performance computing. He is the founder of the series of the World Congresses GeNeDis (“Genetics, Geriatrics and Neurodegenerative Diseases Research”), organized every two years starting from 2014. He also founded the Master’s Program “Bioinformatics & Neuroinformatics” and is the editor of the Handbook of Computational Neurodegeneration that will be published by Springer International Publishing.

Dr. Predrag T Tosic is Associate Research Professor in Department of Mathematics & Statistics at Washington State University, USA and also working as Independent consultant / contractor, Data Analytics. Dr. Tosic also worked as Principal Software Engineer of Data Science. He worked as Research scientist in Center for Bio Medical & Environmental Genomics (CBMEG) and Database Management Systems Lab (DBMS) at University of Houston (UH), Houston, Texas. Dr. Tosic's recent research interests are mostly around the area of Health Informatics, with various applications of AI, Data Science, Machine Learning and related techniques and methodologies to the computation and/or data intensive problems in health analytics/informatics, broadly defined.