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    Share your research findings and results with us. 共享研究成果与发现。

    Welcome experts and scholars in the fields of Computational Chemistry and Biology from all over the world. 热烈欢迎来自世界各地的计算化学与计算生物等相关领域的专家学者参加ICCCB 2018!

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    Submit your papers or abstracts to ICCCB 2018. ICCCB 2018接受全文或摘要投稿。

    You're welcome to submit research papers or abstracts for presentation and publication. 欢迎您投稿全文或摘要到ICCCB 2018并发表文章和报告!

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    Extend communication and cooperation in Hong Kong. 促进学术与商业等交流合作。

    ICCCB 2018 which will be held in Hong Kong during December 27-29, 2018 provides platform for communication and cooperation. ICCCB 2018将于2018年12月27-29日在香港召开。旨在促进学术与商业等交流合作。

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Keynote Speakers 大会主讲人

2018 2nd International Conference on Computational Chemistry and Biology (ICCCB 2018) will be held in Hong Kong during December 27-29, 2018. The conference group sincerely invite any potential experts in Bioinformtics and related fields to deliever a speech in ICCCB 2018. If you are interested, please send your brief resume to icccb-info@cbees.net for application.

Keynote Speakers

Prof. Yuan-Ting Zhang
City University of Hong Kong, Hong Kong

Prof. Yuan-Ting Zhang is currently the Chair Professor of Biomedical Engineering at City University of Hong Kong. He was the Sensing System Architect in Health Technology at Apple Inc., California, USA in 2015. He was the founding Director of the Key Lab for Health Informatics of Chinese Academy Sciences (2007-2018). Professor Zhang dedicated his service to the Chinese University of Hong Kong from 1994 to 2015 in the Department of Electronic Engineering, where he served as the first Head of the Division of Biomedical Engineering and the founding Director of the Joint Research Center for Biomedical Engineering. Prof. Zhang was the Editor-in-Chief for IEEE Transactions on Information Technology in Biomedicine. He served as Vice Preside of IEEE EMBS, Technical Program Chair of EMBC’98, and Conference Chair of EMBC’05.Prof. Zhang is currently the Editor-in-Chief for IEEE Reviews in Biomedical Engineering, Chair of 2018 Gordon Research Conference on Advanced Health Informatics, Chair of the Working Group for the development of IEEE 1708 Standard on Wearable Cuffless Blood Pressure Measuring Devices, and Chair of 2016-2018 IEEE Award Committee in Biomedical Engineering. Prof. Zhang's research interests include cardiovascular health informatics, unobtrusive sensing and wearable devices, neural muscular modeling and pHealth technologies. He was selected on the 2014, 2015, 2016 and 2017 lists of China’s Most Cited Researchers by Elsevier. He won a number of international awards including IEEE-EMBS best journal paper awards, IEEE-EMBS Outstanding Service Award, IEEE-SA 2014 Emerging Technology Award. Prof. Zhang is elected to be IAMBE Fellow, IEEE Fellow and AIMBE Fellow for his contributions to the development of wearable and m-Health technologies.

Prof. Taesung Park
Seoul National University, South Korea

Prof. Taesung Park received his B.S. and M.S. degrees in Statistics from Seoul National University (SNU), Korea in 1984 and 1986, respectively and received his Ph.D. degree in Biostatistics from the University of Michigan in 1990. From Aug. 1991 to Aug. 1992, he worked as a visiting scientist at the NIH, USA. From Sep. 2002 to Aug. 2003, he was a visiting professor at the University of Pittsburgh. From Sep. 2009 to Aug. 2010, he was a visiting professor in Department of Biostatistics at the University of Washington. From Sep. 1999 to Sep. 2001, he worked as an associate professor in Department of Statistics at SNU. Since Oct. 2001 he worked as a professor and currently the Director of the Bioinformatics and Biostatistics Lab. at SNU. He served as the chair of the bioinformatics Program from Apr. 2005 to Mar. 2008, and the chair of Department of Statistics of SNU from Sep. 2007 and Aug. 2009. He has served editorial board members and associate editors for the international journals including Genetic Epidemiology, Computational Statistics and Data Analysis, Biometrical Journal, and International journal of Data Mining and Bioinformatics. His research areas include microarray data analysis, GWAS, gene-gene interaction analysis, and statistical genetics.

Speech Title: "Integration Approach to Multi-omics Data"

Abstract: In precision medicine era, many different types of omics data are simultaneously obtained from the same subject. From a cancer patient, for example, RNA-seq data and whole exome sequencing or genome sequencing data can be obtained to identify diagnostic and prognostic biomarkers. Thus, identification of multi-omics markers has become one of the most challenging issues now. Although many methods have been developed to identify biomarkers for each type of omics data, few methods can facilitate multi-omics marker identification. It is well known that integration of different types of omics data can increase the power of detection of markers and as a result, yielding higher prediction accuracy. In this talk, a general modelling strategy for the integration analysis of multi-omics data will be provided. The main focus lies in the hierarchical structural component model that takes into account for the biological information model for cancer studies. Through this application to ovarian cancer and pancreatic cancer data, our proposed model was shown to effectively identify integrated multi-omics markers for prognosis, providing a much broader biological interpretation.

Prof. Weizhong Li
Sun Yat-sen University, China

Weizhong Li, PhD in Bioinformatics, used to work at EMBL-EBI as senior software engineer, who is now Professor in Zhongshan School of Medicine, Sun Yat-sen University, as well as the vice-chairman of Guangdong Bioinformatics Society, a member of the editorial committee of Precision Clinical Medicine. Professor Li is interested in using bioinformatics technology to tackle problems in precision medicine, such as analysis and integration of precision big data, bioinformatics workflows and platforms, as well as deep learning methods to combinedly analyse omic data and medical images. He has published nearly 30 publications with ~5000 SCI citations, including Nucleic Acids Research, Molecular Systems Biology, PNAS, Bioinformatics etc. Professor Li is in charge of one of the research programs of National Key R&D Program of China, and he is also funded by the National Natural Science Foundation of China and the 100 Talent Plan of Sun Yat-sen University.

Speech Title: "The ncRPheno Platform Prioritizes ncRNA-Disease Associations and Reveals the Landscape of ncRNAs Dysregulation in Cancers"

Abstract: Noncoding RNAs (ncRNAs) have become a novel class of potential targets and biomarkers for disease diagnosis, therapy and prognosis. There is a great need of computational systems for understanding the relationships between ncRNAs and diseases. Current computational resources lack of platforms to consistently integrate ncRNA-disease association data, as well as discover and prioritize the associations for biomedical investigations and applications. To address these challenges, we developed the ncRPheno platform which not only consistently integrates and annotates ncRNA-disease association data from 20 manually curated databases, but also discovers new associations by using the disease parent-child relationships in EFO. Moreover, we described the comprehensive landscape of ncRNAs dysregulation associated with 22 cancer types in ncRPheno. Finally, ncRPheno provides an efficient scoring model based on novel evidential metrics to prioritize and interpret the associations, as well as user-friendly novel visualizations of disease-tree and wordcloud to enable exploration and application of ncRNA-disease association data.

Plenary Speakers

Prof. Chanchal K. Mitra
University of Hyderabad, India

Chanchal Kumar Mitra (born November 02, 1950; W Bengal, India) is currently (2015-2017) an UGC (University Grants Commission, Government of India) Emeritus Professor at the Department of Biochemistry, University of Hyderabad. He obtained his B.Sc. (Bachelor of Science) degree from the Presidency College (University of Calcutta) with Chemistry as the main subject (1969) and his M.Sc. (Master of Science) degree from the same university in 1971 in Pure Chemistry. He did his doctoral work at the Tata Institute of Fundamental Research, Bombay (now Mumbai) on computational studies on the conformations of several aza-nucleosides and received his Ph.D. degree from the University of Bombay in 1977. He did post doctoral work at the University at Albany (New York, USA) and University of Lund (Sweden). He joined the University of Hyderabad in 1985 and retired in 2015. His current research interests are (I) biosensors and (II) modeling of metabolic pathways. He has a number of publications in the relevant areas which can be found from https://www.researchgate.net/profile/Chanchal_Mitra/contributions.

Speech Title: "Kinetic Model of the Biochemical Transporters"

Abstract: "We describe the kinetic simulation of a protein assisted (transporters) transport of ions (univalent cations like Na+ and K+) as well as neutral molecules (glucose for example) across the biological membrane (phospholipid bilayer) using conventional kinetic model (Michealis-Menten equation) and an open-source software to simulate the dynamics. We assume constant electric field within the lipid layer and hence a constant force on the ionic species being transported. We also consider the free eneregy contribution from the concentration gradient (and this applies to both charged and neutral species). We ignore the contribution from the protein due to conformational changes (because little details are available) although this may possibly be significant. The simulation is carried out using Octave (https://www.gnu.org/software/octave/) that follows a matlab like syntax. Most of our results are presented graphically."

Assoc. Prof. Manoj R. Tarambale
Marathwada Mitra Mandal’s College of Engineering, India

Prof. Manoj R. Tarambale has completed graduation in Electrical Engineering from BVCOE, Pune-43, University of Pune in 1992, post-graduation of Engineering in Control System from WCOE, Sangli, Shivaji University, Kolhapur and completed research work from PACIFIC University, Udaipur, India in the field of Biomedical Engineering. He has one year industrial experience and twenty five years engineering courses teaching experience.  At present, he is working as Associate Professor of Electrical Engineering Department of Marathwada Mitra Mandal’s College of Engineering, S. P. Pune University, Pune - 411007, India. He has published more than seventeen papers in prestigious International Journals and in International Conferences. He has got “Most Excellent Paper Award” and “Inter Science Scholastic Young Investigator Award” for his technical papers published. His main research interests are in the field of Control System, Bio-Medical Image Processing / Instrumentation, Bio-sensors, use of Artificial Intelligence in Disease Detection and Electrical Engineering. He is giving an important contribution in implementing various early detection cancer technique projects through Bio-Medical Image Processing. He has also done two consultation projects for the reputed industries. He is a member various technical societies such as IE India, ISTE India, IEEE (CSS), QCFI, ISRD, IAENG etc. Presently, he is acting as a “President of Indian Region” for the Chapter of CBEES, Hong Kong for their technical and scientific activities.

Speech Title: "An Engineering Approach - Cancer Detection Using Image Processing Technique"

Abstract: Image processing tool and artificial intelligence using machine intelligence are becoming famous day by day in the field of diagnosis of medical diseases / problems. One of the fields is a cancer detection. Lung cancer is one of the major cause of death in all types of cancer. The process of cancer detection utilizes radiography images such as X-ray, CT scan, MRI etc. An engineering approach of lung cancer detection particularly from chest X-ray involve steps such as image pre-processing, segmentation, feature extraction and classification of tumor in to benign and malignant by using machine intelligence. Image processing engineering approach will act as second opinion to help the doctor to take correct decision in short span of time with accurately by avoiding unnecessary biopsy and costly medical testing procedures before conformation of cancer. Speech will contain a case study of various actual image processing and other procedures used in detection of lung cancer using software developed from X-ray image. A CAD (Computer Assisted Detection) system utilizes software developed on the inexpensive simple PC.

Prof. Qiang Fang
Shantou University, China

Qiang Fang received his Ph.D degree in biomedical engineering from Monash University, Melbourne, Australia, in 2000. He joined RMIT University, Melbourne, Australia in 2002 as a permanent academic staff. Later he was promoted to a senior lecturer. During his 15 years of tenure at RMIT, Dr. Fang had served at various roles such as program leader, director of international collaboration, acting head of department, and faculty IT committee member. Dr. Fang also led a research team working on wearable and implantable technologies applicable to rehabilitation and neurosciences at RMIT. Prof. Fang joined Shantou University in June 2017 as the founding chair of Shantou University’s biomedical engineering department. The total research fund that Dr. Fang had been granted exceeds US$ 3 million. He has published 4 book chapters, 40+ journal papers and 70+ peer-reviewed conference papers. Dr. Fang supervised more than 30 Ph.D. and master by researcher candidates and holds 7 Chinese patents as the major inventor. Dr. Fang’s major research interests include intelligent and miniaturized medical instrumentation, wearable and implantable body sensor network, and pervasive computing technologies, which can be utilized for rehabilitation medicine and neurology.

Speech Title: "A 3-Tier Tele-Rehabilitation System for Home Based Post-Stroke Limb Function Assessment and Recovery"

Abstract: Stroke is a cerebrovascular disease that can result in death or severe body function damage and it is very common among elderly. In recent years, due to population aging and change of life style, the number of stroke incidents in China has increased dramatically with 3 million more new patients every year. While the demand for rehabilitation service in China is huge, the current rehabilitation resource is simply not able to cope with this ever-increasing number of patients. In this presentation, we report a specially designed telerehabilitation system that provided rehabilitation related services to 60 home based stroke patients sparsely located in Jiaxing, China. This telerehabilitation system consists of a limb motion tracking system using wearable sensor network and a serve-side rehabilitation information system. The motion tracking sub-system utilizes an inertia measurement unit (IMU) based body sensor network to collect patient’s kinematic data during the training session and use a client-side module which processes the training data for performance evaluation and training management as well as provides instruction and feedback to the patient. This rehabilitation information system is a platform implemented using a combination of Windows Server 2003, Apache, PHP and MySQL and serves as a bridge between the patients and the doctors/therapists. A few machine learning algorithms such as extreme learning machine (ELM), support vector machine (SVM) and neuro-fuzzy inferencing were implemented at the server-side to perform training motion recognition and stroke recovery stage classification. A classification accuracy of 92.6% is achieved for automatic motion recognition. The system has been deployed in rural Jiaxing area to serve 60 stroke patients. Each patient registered in this pilot study received a 6-month long home based training program supported by this tele-rehabilitation system. The end rehabilitation results assessed by professional rehabilitation doctors indicate that this intelligent tele-rehabilitation system can significantly reduce the cost and effort for both patients and rehab clinicians while maintaining satisfactory quality and effectiveness in terms of rehabilitation training outcome.

Invited Speaker

Assoc. Prof. Yi Guo
Fudan University, China

Yi Guo, Ph.D., Associate Professor, Department of Electronic Engineering, Fudan University. Her research field is artificial intelligence in medical image processing and analysis. She has authored over 50 publications in leading international journals and conferences and issued patents in the areas of medical image analysis and computer-aided diagnosis. Her research work has received grant funding from the National Natural Science Foundation of China and the Science and Technology Commission of Shanghai Municipality. She has been the recipient of a number of awards for both research as well as teaching, including the Nature Science Award of Shanghai, China (2015), the Excellent Invention Award of Shanghai, China (2009) and Dean Award for Excellence in Research Performance of Fudan University (2015).

Speech Title: "Key Techniques in Radiomics and Their Clinical Applications"

Abstract: "Radiomics refers to the extraction and analysis of large amounts of advanced quantitative imaging features from medical images for the purpose of screening, diagnosis, treatment, and evaluation of serious diseases. By extending radiomics to ultrasound images, it is of great value to early diagnosis and prognosis prediction. In this talk, we firstly illustrate the principle of radiomics and its differences with traditional medical image analysis. Then, concentrating on robustness problem in multi-center validation, a novel reproducibility method of quantitative high-throughput BI-RADS features extracted from ultrasound images of breast cancer and a new MR images normalization method in brain tumors are presented. Finally, we will introduce its clinical application in the precision diagnosis of breast tumor, thyroid tumor and brain diseases."



Latest News 最新消息

October 30, 2018


Submission deadline of ICCCB 2018 has been extended to November 15, 2018.

September 05, 2018


Prof. Prasanta K. Panigrahi from Indian Institute of Science Education and Research Kolkata, India will sit as one of the Program Chairs.


August 25, 2018


Prof. Taesung Park from Seoul National University, South Korea will deliver a talk in ICCCB 2018.


December 11, 2017


ICCCB 2017 has been held successfully in Barcelona, Spain.

Before November 15, 2018
On November 30, 2018
Before December 10, 2018


On December 27-29, 2018
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