IWBIS 2021 Plenary Speakers
Dr. Laksana Tri Handoko
National Research and Innovation Agency (BRIN)
Laksana Tri Handoko is an Indonesian scientist and public official specializing in theoretical and particle physics. He formerly served as the deputy head of science and technology for the Indonesian Institute of Sciences from 2014 to 2018. In 2018, he replaced Bambang Subiyanto as the acting chairman of the institute.
Dr. L. T. Handoko completed his undergraduate study at Kumamoto University, and then his graduate study in particle physics at Hiroshima University. He became a fellow of the Alexander von Humboldt Foundation in 1999, and he’s also the secretary of the Humboldt Alumni association of Indonesia.
On the second reshuffle of the Onward Indonesia cabinet announced on 28 April 2021, he was appointed as the second (but first independent) holder of Head of National Research and Innovation Agency. After liquidation of Indonesian Institute of Sciences (Indonesian: Lembaga Ilmu Pengetahuan Indonesia, LIPI), Agency for the Assessment and Application of Technology (Indonesian: Badan Pengkajian dan Penerapan Teknologi, BPPT), National Nuclear Energy Agency of Indonesia (Indonesian: Badan Tenaga Nuklir Nasional, BATAN), and National Institute of Aeronautics and Space (Indonesian: Lembaga Penerbangan dan Antariksa Nasional, LAPAN) into BRIN on 1 September 2021, he currently become the Head of BRIN in its first consolidated form.
Prof. Tsukasa Hirashima
School of Informatics and Data Science, Graduate School of Engineering
Hiroshima University, Japan
Tsukasa Hirashima received his B.E., M.E., and Ph.D. from Osaka University in 1986, 1988, and 1991 respectively. He became a professor of the Graduate School of Engineering, Hiroshima University in 2004. Now he is a professor at the Graduate School of Advanced Science and Engineering, Hiroshima University. Dr. Hirashima has contributed to Technology-Enhanced Learning, especially in artificial intelligence in education. He has proposed the “Open Information Structure” approach as an original framework to design technology-enhanced learning based on knowledge engineering. He has received several awards e.g. Distinguished Researcher Award from the Asia-Pacific Society for Computers in Education, and Field Innovation Award Gold Prize from the Japanese Society for Artificial Intelligence. He also served as President of the Asia-Pacific Society for Computers in Education from 2012 to 2013. He was a visiting researcher at Colorado University Boulder in 1995, a visiting professor at the Indonesia University of Education in 2018. Now, he is an adjunct professor of education faculty, Malang State University, and a visiting professor of computer science faculty at, Universitas Indonesia.
Prof. Subhas Mukhopadhyay
School of Engineering
Macquarie University, Australia
Subhas holds a B.E.E. (gold medallist), M.E.E., Ph.D. (India), and Doctor of Engineering (Japan). He has over 31 years of teaching, industrial and research experience.
Currently, he is working as a Professor of Mechanical/Electronics Engineering, Macquarie University, Australia and is the Discipline Leader of the Mechatronics Engineering Degree Programme. His fields of interest include Smart Sensors and sensing technology, instrumentation techniques, wireless sensors and network (WSN), the Internet of Things (IoT), Healthcare, Mechatronics, Robotics, Environmental monitoring, etc. He has supervised over 40 postgraduate students and over 100 Honours students.
He has published over 400 papers in different international journals and conference proceedings, written ten books and fifty-two book chapters, and edited eighteen conference proceedings. He has also edited thirty-five books with Springer-Verlag and thirty-two journal special issues. He has organized over 20 international conferences as either General Chairs/co-chairs or Technical Programme Chair. He has delivered 378 presentations including keynote, invited, tutorial, and special lectures. He is a Fellow of IEEE (USA), a Fellow of IET (UK), a Fellow of IETE (India). He is a Topical Editor of IEEE Sensors journal. He is also associate editor of IEEE Transactions on Instrumentation and Measurements and IEEE Transactions on Review of Biomedical Engineering. He is a Distinguished Lecturer of the IEEE Sensors Council from 2017 to 2022. He is the founding chair of the IEEE Sensors Council NSW chapter.
Prof. Alistair Moffat
School of Computing and Information Systems
The University of Melbourne, Australia
Professor Alistair Moffat has been a teaching and research academic at the University of Melbourne (School of Computing and Information Systems) since 1986. In over three decades of teaching, he has touched and maybe inspired something like 20,000 undergraduate students and remains firmly committed to the excitement of the interactive classroom. Alistair received a Carrick Citation for Excellence in Teaching and Learning in the inaugural round of these national awards in 2006 and has also received University and Faculty recognition. Alistair is the author of the textbook used in his C programming subjects, and also an author of two technical monographs and more than 200 refereed research papers. Alistair served as Head of Department from 2007 to 2011, and as Associate Dean (Curriculum) in the Melbourne School of Engineering from 2007 to 2009.
Prof. Simon See
Professor, Senior Director
Nvidia AI Technology Centre And AI Nation
Professor Simon See is the Solution Architecture and Engineering Director and Chief Solution Architect for Nvidia AI Technology Center. He is also a Professor and Chief Scientific Computing Officer at Shanghai Jiao Tong University and a Professor at Beijing University of Posts and Telecommunications and a committee member of more than 50 conferences. Previously Professor See is the Chief Scientific Computing Advisor for BGI (China) and has a position in Nanyang Technological University (Singapore) and King-Mong Kung University of Technology (Thailand). Professor See involves in a number of smart city projects, especially in Singapore and China. His research interests are in the area of High-Performance Computing, Big Data, Artificial Intelligence, Machine Learning, Computational Science, Applied Mathematics, and Simulation Methodology. Professor See is also leading some of the AI initiatives in the Asia Pacific. He has published over 200 papers in these areas and has won various awards.
Professor See graduated from the University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993. Prior to joining NVIDIA, he worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems, and Oracle. He is also providing consultancy to a number of national research and supercomputing centers.
Prof. Taku Komura
Computer Graphics at School of Informatics
Edinburgh University, United Kingdom
Taku Komura joined Hong Kong University in 2020. Before joining HKU, he worked at the University of Edinburgh (2006-2020), City University of Hong Kong (2002-2006), and RIKEN (2000-2002). He received his BSc, MSc, and Ph.D. in Information Science from the University of Tokyo. His research has focused on data-driven character animation, physically-based character animation, crowd simulation, 3D modeling, cloth animation, anatomy-based modeling and robotics. Recently, his main research interests have been on the application of machine learning techniques for animation synthesis. He received the Royal Society Industry Fellowship (2014) and the Google AR/VR Research Award (2017).
IWBIS 2021 Keynote Speakers
Prof. Yudho Giri Sucahyo
Computer Science, Faculty of Computer Science
Universitas Indonesia, Indonesia
Professor at Faculty of Computer Science Universitas Indonesia and also Chairman of PANDI (.id Registry), has a bachelor’s degree and master’s degree in computer science from Universitas Indonesia, and doctorate degree in computer science from School of Computing – Curtin University of Technology, Australia. He is also a Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM), Certified Data Privacy Solutions Engineer (CDPSE), Certified Ethical Hacker (CEH), and ISO 27001 LA (Lead Auditor). He also serves as Board Member Asia Pacific Top Level Domain Association (APTLD), Network Associates at Development Implications of Digital Economies (DIODE), and Strategic Research Network and Academic Advisory Council of The Asia Pacific Institute for the Digital Economy (APIDE).
Dr. Mohammad Ghifary
Digital Banking Division
PT. Bank Rakyat Indonesia, Indonesia
Dr. Mohammad Ghifary is currently as Vice President of the Digital Banking Division at Bank Rakyat Indonesia, one of the largest and the oldest banks in Indonesia specialized in small-scale and microfinance banking business. He was Head of Artificial Intelligence Research at Bukalapak, one of the largest e-commerce companies in South East Asia and the 4th unicorn startup in Indonesia that has served as a marketplace for individual and small business owners. He led AI Research and Development team in delivering AI products, services, and solutions that support the company’s business, focusing on machine learning, natural language processing, and computer vision domains. Some areas of application that we have been supporting are such as recommendation systems, AI-powered search engines, cyber security, investment, and financing solutions. Before joining Bukalapak, He was a research scientist at Weta Digital, the world’s premier visual effects company for movies. He was involved in developing AI tools for several movie productions such as War for The Planet of The Apes, Avengers: Infinity War, Deadpool 2, Alita: Battle Angel, etc.
Previously He was a Ph.D. student in ECS VUW under the supervision of Prof. W. Bastiaan Kleijn and Prof. Mengjie Zhang. He spent my undergraduate and master’s studies at the School of Electrical Engineering and Informatics (STEI), Institut Teknologi Bandung (ITB), Indonesia, from 2005 to 2010. Before starting his Ph.D., He was a lecturer, researcher, programmer/software engineer, and musician. His primary research area is machine learning (more specifically Deep Learning, Semi-supervised Learning, Transfer Learning, Domain Adaptation, Kernel Methods) applied to computer vision and graphic problems.
Dr. Wahyu Caesarendra
Faculty of Integrated Technologies
Universiti Brunei Darussalam, Brunei
Dr. Wahyu Caesarendra is an Assistant Professor at the Faculty of Integrated Technologies, Universiti Brunei Darussalam since October 2018. He received a Bachelor of Engineering degree from Diponegoro University, Indonesia in 2005. He worked in the automotive and electrical company prior to joining Diponegoro University as a Lecturer in 2007. He received New University for Regional Innovation (NURI) and Brain Korea 21 (BK21) scholarships for Master’s study in 2008 and obtained his Master of Engineering (M.Eng) degree from Pukyong National University, South Korea in 2010. In 2011, Wahyu Caesarendra was awarded of University Postgraduate Award (UPA) and International Postgraduate Tuition Award (IPTA) from the University of Wollongong. He received a Doctor of Philosophy (Ph.D.) degree from the University of Wollongong in 2015. He has authored more than 100 research articles in Journals and Conference proceedings. He worked as Postdoctoral Research Fellow in Rolls-Royce@NTU Corp Lab, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore from February 2017 to September 2018. He was a Visiting Assistant Professor at the National Taiwan University of Science and Technology (NTUST) in August 2019. He is currently acting as Faculty Research Coordinator and Research Member of the Institute of Applied Data Analytics (IADA).
Dr. Mahardhika Pratama
School of Computer Science and Engineering
Nanyang Technological University, Singapore
Dr. Mahardhika Pratama is an assistant professor at the School of CSE, Nanyang Technological University, Singapore. His research interest encompasses continual learning, data stream mining, fuzzy machine learning, intelligent control system where he has an excellent publication track record in top publication venues such as AAAI, SIGKDD, CIKM, ICDM, SDM, IEEE TCYB, IEEE TNNLS, and IEEE TFS. He is a world-leading researcher in the area of autonomous machine learning where he has led a special issue on AML in Information Sciences and a workshop on AML in ICDM 2019. Dr. Pratama currently serves as an associate editor in numerous top journals: IEEE TFS, Information Sciences, Knowledge-based Systems, Evolving Systems, Complexity, Journal of Control and Decision as well as editor-in-chief of International Journal of Business Intelligence and Data Mining. He was a program chair of INNS BDDL 2019 and a local chair of ICBK 2019. During his career, Dr. Pratama has secured up to $2 million in research funding. He has graduated 6 Ph.D. students to completion in a timely fashion and 6 postdoctoral research fellows. Because of his excellent research work, he received IEEE TFS’s prestigious publication award in 2019 and the Amity researcher award in data streams in 2019. Last but not least, this achievement is attained only six years after Dr. Pratama obtained his Ph.D. from UNSW, Australia in 2014.
Dr. Santi Indarjani
Politeknik Siber dan Sandi Negara, Indonesia
She is a senior lecturer at the National Polytechnic of Cyber and Crypto (Politeknik Siber dan Sandi Negara or PSSN). She has been engaged with PSSN since 2007 when it was still the national institute of Crypto (Sekolah Tinggi Sandi Negara or STSN) which is transformed into PSSN in late 2019.
She got her first diploma in cryptography from Akademi Sandi Negara in 1991 and then got her bachelor’s degree in Mathematics at the University of Indonesia in 1998. She continued to gain her master’s in Information System Management at the University of Gunadharma in 2006, and then in 2015, she got her doctoral degree in Computer Science at the University of Indonesia. Since 2019 she has had additional tasks as a vice-director in academic affairs at PSSN.
Her priority interests are in cryptography, cryptanalysis, information security, blockchain, and post-quantum cryptography. She has some publications in those areas above but mostly in cryptanalysis at IEEE indexed International Conference and some journals. She has experience in teaching at some other universities besides PSSN such as Bakrie University, University of Veteran Jakarta, and National Institute of Intelligence (STIN). She has also given some lectures in webinars related to cryptography and its applications, cyber security, and related topics.
Maj. Gen. Jonni Mahroza, Ph.D.
Vice-Rector & Assistant Professor
Defense Diplomacy Study Program
Republic of Indonesian Defense University (RIDU)
Maj. Gen. Jonni Mahroza, Ph.D. is currently working as the Vice-Rector of the Republic of Indonesian Defense University (RIDU). He does research in Civil-Military Relations, International Relations, Defense Diplomacy, and Conflict Processes, Comparative Politics, and Comparative Democratization.
He has an educational background in both general and military. In 1989 he graduated from the Indonesian Military Academy and then continued his undergraduate studies in social and political science from the Indonesian Open University. After that, he continued his master’s degree in international relations from the University of East Anglia, Norwich-UK in 1997. 5 years later, he obtained his Ph.D. in defense studies from Flinders University of South Australia, Adelaide. Then he continued his military school at the command and staff college and the National War College.