Dr. Ross D. King
received his Ph.D. from the Turing Institute, UK. He is currently Professor of Machine Intelligence at the University of Manchester, UK. He is one of the most experienced researchers in AI in the UK, having spent over 30 years in the field. His most important research achievement is that of originating the idea of a “Robot Scientist”: using laboratory robotics to physically implement a closed-loop scientific discovery system. His Robot Scientist “Adam” was the first machine to discover novel scientific knowledge. His robot “Eve” is searching for drugs against neglected tropical diseases, and cancer. He is the only computer scientist with first author papers in both Nature and Science, and one of few PIs in a Computer Science Department anywhere in the world with a “wet lab”. His research won the British Computer Society, Machine Intelligence Prize, 2007; He was nominated for the World Technology Award (software) in 2004 and 2006; and his research was named the 4th most significant scientific advance of 2009 by Time magazine.
: School of Computer Science, University of Manchester, United Kingdom,
is the Director of Inclusive Fintech at BFA Globals, and similarly a seasoned Technologist and Entrepreneur in the US startup scene. He founded and served in leadership roles in several NYC-based startups and more recently turned his attention to the developing world and is passionate about more pressing technology and data challenges in the financial and social inclusion space. Matt holds a BSc in Aerospace Engineering from the University of Wisconsin, and was pursuing a PhD in Physics when he withdrew to focus efforts on his growing startups: Bytemark, an international mobile payments and ticketing platform and LDLN, a post-disaster-oriented Locally Distributed Logistics Network that empowers “dark” communities without requiring an external power grid or internet/cellular infrastructure.
: 259 Elm Street, Suite 200, Somerville, MA 02144, USA.
Dr. Ming Zhang
received her Bachelor, master and PhD degrees in Computer Science from Peking University respectively. She has been a full professor at the School of Electronics Engineering and Computer Science, Peking University since 2005. Prof. Zhang is an Advisory Committee member of Ministry of Education in China, the vice director of CCF Educational Committee, a member of ACM Education Advisory Committee (formerly Ed Council) and the Chair of ACM SIGCSE China. She is one of the five Executive Committee Members of ACM/IEEE IT2017 and a member of the ACM/IEEE CC2020 steering group. She has published more 200 research papers on Text Mining and Social Computing in the top journals and conferences, such as ICML, KDD, AAAI, ACL, WWW and TKDE. She won the best paper of ICML 2014 and best paper nominee of WWW 2016. Prof. Zhang is the leading author of several textbooks on Data Structures and Algorithms in Chinese, and the corresponding course is awarded as the National Elaborate Course by MOE China.
: School of Electronics Engineering and Computer Science, Peking University, China.
Dr. Guanglin Li
received his Ph.D. degree in biomedical engineering from Zhejiang University, China, in 1997. From 1999–2002, he worked as a Postdoctoral Research Associate in the Department of bioengineering, the University of Illinois at Chicago, U.S.A, on the studies of electrocardiography and electroencephalography inverse problems and cardiac electrophysiology. From 2002 to 2006, he was a senior Research Scientist at BioTechPlex Corporation in the U.S., and he worked on researches associated with the development of biomedical and biological products. From 2006 to 2009, he was with the Rehabilitation Institute of Chicago (the best rehabilitation hospital in America for 19 consecutive years), where he was a Senior Research Scientist in the Neural Engineering Center for Artificial Limbs and with Northwestern University, where he was an Assistant Professor of Physical Medicine and Rehabilitation, Chicago. Since 2009, he has been with Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, where he is currently a Professor and Director in the Research Center for Neural Engineering at Institute of Biomedical and Health Engineering.
: Institutes of Biomedical and Health Engineering, Shenzhen Insititues of Advanced Technology, Chinese Academy of Sciences, China. e-mail: firstname.lastname@example.org
Romain Glèlè Kakaï:
Dr. Romain Glèlè Kakaï
is a Professor of Biostatistics and Forest Modeling, Head of Biomathematics and Forest Estimations Laboratory (www.labef-uac.org), and Coordinator of the doctoral training in Biometry at the Faculty of Agronomic Sciences, University of Abomey-Calavi, Republic of Benin. He obtained his Engineer degree in Forestry in 2000 and MSc and PhD in Applied statistics at the Gembloux agricultural university (Belgium) in 2001 and 2005 respectively. He served as a young affiliate of TWAS between 2011 and 2015, young scientist of the World Economic Forum in 2012, and member of the Advisory committee of African-German Network of Excellence in Science. He is a visiting Professor in Applied Statistics at the KNUST, Ghana; University of Lomé, University of Kara, Togo; Abdou Moumouni University, Niger, Felix Hounphouet Boigny University, Cote d’Ivoire; University of Masuku, Gabon; and several more. His current research interests include Linear and generalized linear mixed models, Non-linear modeling, and Analysis of Multiblock data in forest dynamics; and he has published more than 200 scientific papers in international journals, 4 books and many edited communications.
: Faculty of Agronomic Sciences, University of Abomey-Calavi, 04 BP 1525, Cotonou, Republic of Benin. e-mail: email@example.com
Dr. Lei Wang
received B.Eng in Information and Control Engineering, M.S., and Ph.D in Biomedical Engineering from Xi'an Jiaotong University, China in 1995 and 2000, respectively. He worked as Research Engineer in University of Glasgow from 2001 to 2005; and as Research Associate in Imperial College London, from 2005 to 2008. Currently, he is a Full Professor, Deputy Director at Institutes of Biomedical and Health Engineering, and Director of Centre for Medical Robotics and Minimally Invasive Surgical Devices, at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. Dr. Wang’s research focuses on Wearable Body Sensor Networks, Intelligent Systems, Surgical Robotics and Control. He has presided over and participated in major scientific research projects including the key National Natural Science Foundation of China, and National 863 Program Project. He has authored/co-authored over 250 scientific papers and 10 monographs. He served as the session chair at the 2017 IEEE EMBC, and part of the technical program committee for 2016 BioCAS. He is now working on light-weighted interventional robot as a pioneer study towards minimally invasive cardiovascular surgery.
: Institutes of Biomedical and Health Engineering, Shenzhen Insititues of Advanced Technology, Chinese Academy of Sciences, China. e-mail: firstname.lastname@example.org
Dr. Mustafa Özuysal
received his Masters degrees from the METU Vision Laboratory at the Middle East Technical University, Ankara, Turkey in the Department of Electrical and Electronics Engineering and his Ph.D. degree from the Computer Vision Laboratory at the Ecole Polytechnique Fédérale de Lausanne, Switzerland in Computer Communication, and Information Sciences. His Ph.D. focused on object tracking-by-detection, camera egomotion estimation and augmented reality, specifically learning features from image and video sequences for fast and reliable object detection. He is a currently an assistant professor. He has co-founded two techno-park companies funded by the Ministry of Science, Industry, and Technology of Turkey. He has been a full-time faculty at the Department of Computer Engineering of the Izmir Institute of Technology since 2013. He is a reviewer for all major Computer Vision conferences and journal including CVPR, ICCV, ECCV, PAMI, CVIU and TIP.
: IZTECH Computer Engineering Deptartment, Gulbahce, 35430 Urla, İzmir, Turkey
Dr. Emile Chimusa
received Ph.D. from the prestigious University of Cape Town, South Africa. He has extensive experience in designing and applying statistical methods and machine intelligence algorithms to large multi-omics datasets for genome-wide association studies, ancestry inference, admixture mapping, mapping complex diseases and population structure. He is leading computational population genetics and genetics Epidemiology (CPGEG) research group of more than 20 postgraduate students at UCT. He is program convener of (1) Honours in Human Genetics, (2) He is coordinating and leading the education platform, “UCT Applied Genomics” and research platform “Computational and Statistical methodologies for human and environmental health prediction” at the CSIR Centre for High Performance Computing (CHPC), Cape Town. He led various projects that yield to the design and development of critical genomic machine learning software tools (http://web.cbio.uct.ac.za/~emile/index.html). He is an active Member of both TYAN and TWAS-SAREP region.
: Department of Integrative Biomedical Sciences, University of Cape Town, Observatory 7925,
Cape Town, South Africa. e-mail: email@example.com
Dr. Selma Tekir
received B.S. in Computer Engineering at Ege University. She received her M.S. in Computer Engineering from Izmir Institute of Technology. In 2009, she worked as a visiting researcher at Faculty of Computer Science Chair for Databases, Data Analysis and Visualization at University of Konstanz-Germany. Dr. Tekir received a PhD in computer engineering from Ege University in 2010. Her research interests include text mining, news analysis, semantics, natural language processing, and information warfare. Currently, she is working as an assistant professor at Izmir Institute of Technology Department of Computer Engineering.
: IZTECH Computer Engineering Dept., Gulbahce, 35430 Urla, İzmir, Turkey.
Dr. Bolanle Ojokoh has Bachelor, Masters and PhD degrees in Computer Science. She is currently an Associate Professor in the department of Information Systems of the Federal University of Technology, Akure, Nigeria. Dr. Ojokoh was the Scientific Committee Chair of the Local Organizing Committee, 2nd OWSD International Conference in 2015. She was a Program Committee Member of the ACM/IEEE-CS Joint Conference of Digital Libraries (JCDL) in 2016 and 2017. She was elected as a TWAS Young Affiliate in 2013, and is currently serving as Executive Board Member of the TWAS Young Affiliates Network (TYAN). She was a PI for the TWAS-COMSTECH Research Grant for “Extracting high quality question and answer pairs from online forums”. She has attended several international conferences and workshops. She is interested in Intelligent Information filtering, retrieval and extraction and the applications of these to Web Mining in Recommender Systems and Question Answering. She has over sixty publications to her credit.
Contact details: Department of Computer Science, Federal University of Technology, PMB 704, Akure, Ondo-State, Nigeria. e-mail: firstname.lastname@example.org