Keynote Speakers
In order to deepen the communication in all the participants, ICCBB 2023 have invited
professors from local Kuala Lumpur and all over the world to have speeches about
Computational Biology and Bioinformatics and related fields.
Keynote Speaker I
Prof. FangXiang Wu
University of Saskatchewan, Canada
Dr FangXiang Wu is currently a full professor in the Departments of
Computer Science, Biomedical Engineering, and Mechanical Engineering at
the University of Saskatchewan. His research interests include
Artificial Intelligence, Machine/Deep Learning, Computational Biology,
Health Informatics, Medical Image Analytics, and Complex Network
Analytics. Dr. Wu has published about 350 journal papers and more than
130 conference papers. His total google scholar citations are over
13000, h-index is 57. He is among top 2% world’s scientists ranked by
Stanford University. Dr Wu is serving as the editorial board member of
several international journals (including IEEE TCBB, Neurocomputing,
etc.) and as the guest editor of numerous international journals, and as
the program committee chair or member of many international conferences.
He is an IEEE senior member.
Speech Title: "Deep Learning for Biomarker Discovery"
Abstract: A biomarker, or biological marker is a measurable indicator of
some biological state or condition, which has a clinical role in
diagnosis, treatment, and prognosis of diseases. Advances in the high
throughput biotechnologies have resulted in the creation of massive
medical data, which can be utilized for biomarker discovery. Deep
learning is an artificial intelligence technique that can be used to
design and train computer algorithms to learn from and act on data,
especially for predicting biomarker-disease associations. In this talk,
after some brief introductions to biomarkers and deep learning, I will
mainly talk about several deep learning models that my group developed
for predicting biomarkers such as miRNAs and piRNAs.
Keynote
Speaker II
Prof. Tjokorda Gde Tirta Nindhia
Udayana University, Indonesia
Tjokorda Gde Tirta Nindhia, Professor in Material Engineering at Program
Study of Mechanical Engineering, Engineering Faculty, Udayana
University, Jimbaran, Bali, Indonesia. Doctor Degree was granted from
Gadjah Mada University Indonesia. Experienced in various Post Doc
position such as at Muroran Institute of Technology Japan, Institute of
Structure and Fungtional Ceramik (ISFK) Leoben Mining University
Austria, Technical University of Vienna ( TU WIEN) Asutria, University
Chemistry and Biochemical of Prague, Czech Republic, Michigan State
University under Fulbright. Professor Nindhia was finalist at national
best performance lecturer competition in 2013 and in 2017 awarded as
rank III best performance lecturer in Indonesia by Ministry of Research
Technology and Higher Education The republic of Indonesia. In 2016 The
Government of Indonesia Granted Prof Nindhia an Award of Energy
Initiative (Penghargaan Energi Prakarsa) and In 2016 received
International Bern Rode Award from Association of South East Asia Uni
Europa Networking (ASEA_UNINET). Prof Nindhia involving in research
related with Material Engineering, Biomaterial, biomedical engineering,
and various project in waste processing.
Speech Title: "Development Device for The Assessment of Asthma Using
Newly Develop Respiratory CO2 Measurement Device Based on
Diverting Method"
Abstract: This study explores the features (Area and Slope) of carbon
dioxide (CO2) waveform indices for various parts of each
breath cycle. In short, the research shows some preliminary results in
actual clinical circumstances that indicate that incorporation of CO2
waveform indices into a lately developed device by our group which has
the potential to be used as an indicator for severity and response in
the continuous monitoring of asthmatic patients during an acute attack.
Furthermore, the added advantages of this mechanism are that the
monitoring device does not interfere with the ease of initiating therapy
nor require active patient efforts. Further, the work now lies in
recognition of proper waveform, implementation of the proposed indices
into the real-time CO2 measurement device, and the reporting
of such indices in reproducible and an easily understood form that would
significantly enhance the field of asthma monitoring. It is believed
that this will assist a better sympathetic of asthma, improved
management, and eventually a decrease in morbidity and mortality.
Invited
Speaker I
Prof. Patrick Emmanuel Meyer
University of Liege, Belgium
Patrick Emmanuel Meyer received the Electromechanical Engineering degree
and the Ph.D. degree in Machine Learning, both from the Université Libre
de Bruxelles (2003-2008, ULB, Belgium). After postdoctoral research at
the Computer Science and Artificial Intelligence Laboratory of the
Massachusetts Institute of Technology (CSAIL, MIT, USA, 2010) and at the
BROAD Institute (USA, 2011), he became in 2014 Professor at the
Université de Liège (ULiege, Belgium) where he launched the
Bioinformatics and Systems Biology Lab as well as the BioAutomation Lab
in the Life Science Department. Among other scientific productions, he
authored the open-source R packages INFOTHEO and MINET (Mutual
Information Networks), the Drosophila modENCODE paper (Science 2010) and
the European Excess Mortality Analysis of several books focused on the
aftermath of the COVID-19 crisis. His interests cover variable
selection, network inference and machine learning applied to phenotypic
and omics data.
Invited
Speaker II
Assoc. Prof. Shweta Gupta
Woxsen University, India
Dr. Shweta Gupta is an Associate Professor at the School of Technology,
Woxsen University, Hyderabad, Telangana, India. Her research focuses on
solving societal problems, including Cognitive Diseases, Bioinformatics,
Bionics, Artificial Intelligence, and Machine Learning. She is a Member
of the Elsevier Advisory Panel and was also awarded as Senior Scientist
for her exemplary work presenting her research work pertaining to
Epilepsy at ICBBT2015, Singapore by the Department of Science and
Technology, Government of India. She has filed Patents which have been
accepted and commercialized as products. She became Guest Editor and
Editor of the reputed USA Journals and Books at a very young age. She
was awarded a Certificate of Merit for Outstanding academic performance
and being among the top 0.1 percent of successful candidates of the
C.B.S.E. Board in XII standard. She was a Speaker at ICBBT2023, Xian,
China. She is an Expert member in various research schemes in the
Department of Science and Technology (DST), Government of India
especially for “Start-up India” an initiative launched by the Hon’ble
Prime Minister of India and worked on various research projects and
provided various consultancy solutions to Government of India and
reputed Companies.
Speech Title: "Effect of Indian Food on Cognitive Disease Treatment"
Abstract: Indian Food helps in the treatment of Cognitive Diseases which
in turn helps in the regeneration of brain cells and hence, secretion of
chemicals like Serotonin and Dopamine which helps in the treatment of
Cognitive Diseases. The death of certain brain cells results in the
inhibition of the secretion of chemicals from brain cells required for
the proper functioning of the body. India has a diverse variety of food
and the process of preparing it involves various condiments and food in
itself provides various chemicals needed for the proper function of the
body. The deficiency of these chemicals results in various Cognitive
Diseases. Various Bioinspired Algorithms will be used to demonstrate the
regeneration of affected brain cells and recovery from Cognitive
Diseases like Depression, Parkinson ‘s disease, and Epilepsy. Innovative
computational approaches to model complex biomedical systems and analyze
big bioinformatics Cognitive data. With the help of next-generation data
analytics tools, the above concept will be demonstrated. Large
heterogeneous biological and health data associated with related
Cognitive Diseases will be analyzed and the process will be
demonstrated.
