Name: Dr.Mustafa Z. Younis, Global Health Financing & Public Health

Bio: Mustafa Z. Younis is an internationally recognized scholar and an Expert of Global Health Financing & Public Health. He was a member of the Executive Committee of the international Society for Research of Healthcare Financial Management.
Dr. Younis has authored and published over 200 articles, abstracts and presentations in refereed journals and meetings, and has presented at national and international conferences. Dr. Younis has administrative experience as Senior Advisor for the President at Zirve University, Turkey and as Chair of the Department of Health Policy and Management at Florida International University (FL, USA) where he led the accreditation efforts for the Healthcare Management Program.
Dr. Younis has a history of playing visible roles on the editorial boards of journals as Chief Editor, Guest Editor and Editorial board member of leading journals such as IJMR, JHCF, Inquiry, JHHSA, JPBAFM
Dr. Younis is a frequent speaker for both academic and professional audiences. His talks often feature his latest research and work in progress as well as cross-industry trends and strategy implications. He has provided workshops and presentation for wide organizations. His research and findings applied to for-profit, non-profit settings, and government.
Dr. Younis has consulted with several organizations on Healthcare Finance, and Economics.
Dr. Younis is often invited to speak about the challenges in the healthcare industry and other related topics to health economics, finance, and research. He has presented topics, such as, healthcare reform, ownership structure, profitability, unit cost, payment system and efficiency in management, at a variety of forums and conferences in United States, Europe, Asia and Middle East.
Speech Title: TBD
Abstract: TBD

Name: Prof.Dr. Zhanshan (Sam) Ma, Chinese Academy of Sciences, China

Bio: Prof. Sam Ma received his double PhDs in Computer Science and Entomology in 2008 and 1997, respectively, both from the University of Idaho (UI), USA. In 2010, he was retained as a Professor and Principal Investigator (PI) by Kunming Institute of Zoology (KIZ), the Chinese Academy of Sciences (CAS). Prior to joining in KIZ, he was a Research Scientist (in Computational Biology & Computer Science) at the University of Idaho. He was a senior software engineer from 1998 to 2006 in the computer industry in Silicon Valley, USA. Dr. Ma has been keeping dual track publishing in both Computer Science and Biology (particularly in biomedicine in recent years) with over 100 peer-refereed papers in premier platforms such as IEEE Transactions on Reliability, Science Translational Medicine, Ecological Monographs, The ISME Journal, Advanced Science, Science Advances, and iScience. He was a member of London-based “Faculty 1000 of Biology and Medicine” (2008-2016). He heads the “Computational Biology and Medical Ecology Lab” in Kunming Institute of Zoology, the Chinese Academy of Science (CAS). He is also faculty members in the CAS Center for Excellence in Animal Evolution and Genetics and the University of Chinese Academy of Sciences.
Speech Title: Medical ecology of human microbiomes: theoretical ecology and complex network perspectives
Abstract: TBD

Name: Prof.Dr M. A. Jabbar,Head of the Department AI & ML,Vardhaman College of Engineering,Hyderabad,India

Speech Title: AI/ML Approaches against COVID-19 Outbreak
Abstract: A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions of people. Artificial intelligence (AI) and machine learning (ML) have been recognized as the most potent and hopeful analytical tools in the healthcare domain [7]. Although many health problems are handled by bioinformaticians and statisticians instead of data scientists, generated a massive amount of data in the healthcare creates a necessity to produce more beneficial tools to distinguish exceptional cases from big data. AI techniques have been widely applied to detect new molecules on the way to ascertain COVID-19. Many data scientists adopt AI tools to discover new medicines for the cure, use X-rays and computational tomography (CT) scans by image processing to identify the infectious people. This talk will discuss about how AI/ML techniques have been applied and or used against COVID-19 Outbreak.

Name: Assistant Professor.Dr. Manisha Waje, G. H. Raisoni College of engineering & management, India

Speech Title: Quantum Dot Cellular Automata - Emerging Nanotechnology
Abstract: The goal of computer designers and manufacturers is to produce smaller, faster computers. In the era of emerging trends quantum dot cellular automata has become very popular because of its extremely small size. The Quantum Cellular Automata (QCA) is currently being investigated as an alternative to CMOS VLSI. Quantum-Dot Cellular Automata is an exploratory computing paradigm in which information is encoded in the electronic charge configuration of a QCA cell. Each QCA cell can be constructed with a single molecule, coupled semiconductor quantum dots, metallic islands, or magnetic nanoparticles. The charge and magnetic interaction between neighboring QCA devices enables the transmission and processing of information. Moore's Law states, the number of transistors on a microchip continues to double every 18 months. Till the year 2030, circuits on a microchip will be measured on an atomic scale. Therefore the logical next step will be to switch to one of the most promising computing paradigms known as Quantum computers in which the computation will be carried out in an atomic level.

Name: Prof.Dr.Sohail Nadeem, Department of Mathematics, Quaid-I-Azam University, Islamabad, Pakistan

Speech Title: Peristaltic flow of some real fluids
Abstact: In the present research we have studied the peristaltic flow of a Newtonian and non-Newtonian fluid in a rectangular duct. The flow is investigated in a wave frame of reference moving with the velocity c away from the fixed frame. The peristaltic waves propagating on the horizontal side walls of a rectangular duct is studied under lubrication approach. The exact solutions of velocity and pressure gradient have been found under lubrication approach. The pumping characteristics, axial pressure gradient, velocity field and trapping phenomena have been discussed to highlight the physical features of emerging parameters of the Jeffrey fluid. The comparison is also made with the existing literature.

Name: Prof.Dr.Nalini kanta Sahoo,SRM Modinagar college of Pharmacy,Modinagar, Ghaziabad,India

Speech Title: Biomolecular Analytical Techniques (BIA techniques)
Abstact: BIA techniques are widely used to quantify drugs and their metabolites in plasma matrices and the methods should be applied to studies in areas of human clinical and nonhuman study. BIA techniques are employed for the quantitative estimation of drugs and their metabolites in biological media and plays an important role in estimation and interpretation of bioequivalence, pharmacokinetic, and toxicokinetic studies. The major work is method development, method validation, and sample analysis. Every step in the method must be investigated to decide the extent to which environment, matrix, or procedural variables can interfere the estimation of analyte in the matrix from the time of setup to the time of analysis. Techniques such as high pressure liquid chromatography (HPLC) and liquid chromatography coupled with double mass spectrometry (LCMS-MS) can be used for the bioanalysis of drugs in body. Each of the instruments has its own merits and demerits. Chromatographic methods are HPLC and gas chromatography have been mainly used for the bioanlysis of small/ large molecules, with LC/MS/MS. Linearity, accuracy,precision, selectivity, sensitivity, reproducibility, and stability are some of the regularly used parameters. More over the technique is proposed to add some points regarding bioanalytical method development and validation parameter, beneficial to quality assurance to determine the drug, concentration and its metabolite in reference to biomolecules.

Name: Dr. Julia Sidorova, Researcher, Institute Carlos III de Salut, Spanish Ministry of Health,Spanish

Bioinformatics platform Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestiva, Calle Rossello 153 Bajos O8036 Barcelona
Speech Title: Blood Glucose Monitoring from Voice
Abstract: Vocal biomarkers were developed for both diabetes detection.and BG monitoring. Regarding the latter, there are two explanations of why voice reflects BG swings:
● the change in BG concentration makes the elastic properties of the tissue of the larynx and cord change, which in turn causes the change in spectral characteristics of voice;
● hypoglycemia is often accompanied by anxiety, whereas hyperglycemia is accompanied by lethargy with emotional states being detectable from voice.
The association between voice and BG can be modeled mathematically as well as can be approximated via approaches based on machine learning, e.g. convolutional neural networks aided with transfer learning.
Currently, none of the noninvasive technologies for BG monitoring is sufficiently reliable making the improvement of individual methods important. As can be expected, a system that implements the fusion of several technologies had a significantly higher success rate than any of the constituent technologies alone. Information fusion is a priority direction in BG detection, where the purpose is not necessarily achieving high specificity and sensitivity of the individual approaches but making them useful in a combination, e.g. alert the patient when the use of the invasive method is recommended.

Name: Associate Professor,Han Xia,Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China

Bio: Han Xia, Ph.D, was appointed as Associate Professor at the Wuhan Institute of Virology, Chinese Academy of Sciences, China in April 2016. She is a member of the National Biosafety Review Committee of the Microbiology and Biomedical Laboratories for Human Infectious Diseases (3rd), member of Biosafety Advisory Committee of Westlake University, member of editorial Board of BMC Infectious Diseases, and Zoonoses. Her research fields focus on arbovirus and biosafety. Including arbovirus surveillance, novel virus discovery, and virus-mosquito interaction through classical method of virology (eg. cell culture, animal model, mosquito infection platform, virus-mosquito-animal transmission model), and modern methods (next generation sequencing, single cell sequencing and artificial intelligence). In addition, she has been acquired the independent access certification for BSL-2/BSL-3/BSL-4 laboratory both from Galveston National Laboratory in the USA and the Wuhan National Biosafety Laboratory in China, with rich experience in laboratory biosafey. For these lines of research Dr. Xia has been able to obtain funding from: National Natural Science Foundation of China, the Ministry of Science and Technology of China, and the Hubei Health Committee, China. She published more than 40 papers in the journals for the field of virology and biosafety, including journals such as Emerging Infectious Disease, mSystems, Plos Neglected Tropical Diseases, Reviews in Medical Virology, and Frontiers in Microbiology.
Speech Title: TBD
Abstract: TBD