Ms Chan Lai Fung was appointed Permanent Secretary (National Research and Development) and Permanent Secretary (Public Sector Science and Technology Policy and Plans Office), Prime Minister’s Office in 2019. She is also concurrently Chairman of the Agency for Science, Technology and Research. Prior to her current appointments, she was Permanent Secretary (Law) from 2006 to 2010, Permanent Secretary (Finance)(Performance) from 2009 to 2012, and Permanent Secretary (Education) from 2012 to 2019. She has also served in various capacities in the Ministry of Communications and Information, Ministry of Health, Public Service Division of the Prime Minister’s Office, Ministry of the Environment, and the Ministry of Trade and Industry.

Ananda Sekhar Bhattacharjee is the Head for HPC & AI in Lenovo, Asia pacific. His primary responsibility is to provide in-depth expertise and consultancy to clients for  designing large scale HPC and AI systems. An engineer by training Ananda has more than 20 years of experience in software development, enterprise system design and Application profiling for technology companies like Silicon Graphics, Sun Microsystems and NVIDIA besides Lenovo.

After graduating from Ecole Polytechnique (France), Anne-Claire Le Hénaff earned a Master of Science in Mechanical Engineering from MIT, where her research focused on new control algorithms for solar-powered desalination systems. Her interest for complex systems and HW-SW integration took her to Zoox, a California-based startup building self-driving taxi. There, she designed algorithms to validate the performance of the vehicle AI. She joined PASQAL in 2021 to lead the development of their cloud services and build a “quantum as a service” offer.

Christopher is the Technical Lead for WEKA A/NZ, assisting WEKA’s top customer in adopting and streamlining their most demanding workloads. Christopher has extensive experience in storage and has seen the industry progress from SAN, NAS and now to Flash. Christopher has worked for significant storage vendors like Quantum and Dell Technologies, where Christopher was the SME for APJ with Dell Technologies Elastic Cloud Storage (ECS) business. Whilst working at WEKA, Christopher has embarked on a Masters of Cloud and Virtualisation with Charles Sturt University, which has given Christopher exposure to emerging technologies in data analytics, big data and storage pipelines.

Dr. Deb Goswami is currently responsible for growing NVIDIA’s Accelerated Data Science and Machine Learning developer practice in the Asia Pacific South and ANZ Regions. With over a decade of expertise in scaling and enabling enterprise AI in the region, Dr. Deb is passionate about supporting the developer ecosystem in their AI journey.

Prior to joining NVIDIA, Dr. Deb worked on challenging AI problems across a variety of verticals in the APAC region, including Media (SPH, Head of Data), eCommerce (Traveloka, Head of AI), AdTech (Dentsu Aegis Network, Data Scientist) and Telco/Oil & Gas (Reliance Industries, Data Scientist).

Dr. Goswami read his PhD in Face Recognition from the University of Surrey, where he also studied for his BEng (Hons) in Electronic Engineering.

A business professional with extensive experience in sales, business development, growth, and partnership for both established multinationals as well as fast-growing start-ups in APAC.
Strong cross-industry experiences in Telecommunications, Data Center Solutions, Cloud Services, Consumer Internet, AdTech, Online Media, and E-Commerce in both mature and emerging markets with a strong focus in South East Asia.

Injae leads Google Cloud’s mission to make HPC universally accessible and help customers run the most demanding workloads in the cloud. From democratising access to the latest HPC infrastructure in compute, storage and network for all users, to modernising HPC to new cloud native solutions – let’s chat about how we can help solve your complex problems!

Jane Shen, leads teams in Pensees Group to develop and deploy AI cutting edge technologies in smart city, smart building, smart community applications including front and backend, SaaS platform, edge, server and cloud AI solutions. Before joined Pensees in 2019 she led research team as General Manager at Panasonic R&D Singapore, to pioneer solutions and products in image/video processing, computer vision, 3D, deep learning, robotics and autonomous driving.

She has contributed to international standardization of image/video coding, and won more than 15 International competition awards in computer vision, AI and robotics domains.

As the Director of AI Solutions at PTC Systems, I believe every company needs AI applications for growth. I bring a passion for NVIDIA’s world-leading AI technology and I would like to enable AI developer success by offering a total solution for AI problems such as networking and storage.

Currently, I am working with NVIDIA on AI-related product lines such as DGX systems, and I’m representing NVIDIA as the sole reseller (Elite level) in Singapore.

Nir Lubliner is a Senior Director of Sales and BD for the APJ region at Run:AI. He is a passionate advocate for technology that will shape the future of how organizations run AI. Nir comes from a technical engineering background that was followed with 20 years of experiance creating business in APAC for Israeli companies and technologies.

Dr. Okba HAMITOU is a senior technical expert in HPC at Atos. He holds a PhD in applied mathematics from the University of Grenoble Alpes in France. Focusing on supercomputer users, Okba has been collaborating with customers and partners from several field applications to analyze, qualify, troubleshoot and resolve technical challenges such as application performance analysis, application optimizations and training delivery. He is also involved in many collaborative projects, aiming to prepare the scientific community for the next generation of supercomputers.

Paul Skaria is a Regional Lead for HPC and Cloud at AMD Singapore for APJ region. He has extensive experience in designing and implementing large scale HPC systems across the region. In his current role he is helping customers building the best solutions for on-perm and cloud workloads with AMD technologies. He holds an MBA and a Master’s degree in Electronics.

Raghu Nambiar is a Corporate Vice President and CTO at AMD where he leads a global engineering team responsible for the strategy, roadmap, and execution for AMD’s datacenter business. Prior to joining AMD, as the CTO of the Cisco UCS business he played an instrumental role in accelerating the growth of Cisco UCS to a top datacenter-compute platform. At Hewlett-Packard, where Raghu spent his early years as a technology leader, he was responsible for several industry-first and disruptive technology solutions and a decade of performance benchmark leadership. He has published more than 75 peer-reviewed papers and book chapters, 15 books in Lecture Series in Computer Science (LNCS) and holds ten patents with several pending. He holds dual Master’s degrees from University of Massachusetts and Goa University, and an advanced management program from Stanford University.”

Richio Aikawa is an accomplished professional with more than 20 years of experience in the enterprise storage, software, networking, server, operating systems, and cloud platform markets. Previously, he held senior positions at Netlist, Solarflare and Emulex. Aikawa holds a bachelor’s degree in mathematics-system science from the University of California at Los Angeles; a master’s degree in electrical engineering from California State University, Fullerton; and an MBA from the University of Redlands.

Roger Espasa is the founder and CEO of Semidynamics Technology Services, an IP supplier of two RISC-V cores, Avispado (in-order) and Atrevido (out-of-order) supporting the RISC-V vector extension and Gazzillion misses, both targeted at HPC and Machine Learning. Prior to Semidynamics, Roger was at Broadcom (2014-2016) working on an ARMV8 wide out-of-order core. Previously, Roger worked at Intel (2002-20014) developing a vector extension for the x86 ISA, initially deployed in XeonPhi (Larrabee) which then became AVX-512. Roger also led the texture sampling unit for Larrabee. Roger then worked on Knight’s Landing (14nm) and led the core for Knights Hill (10nm). Between 1999 and 2001 Roger worked for the Alpha Microprocessor Group on a vector extension to the Alpha architecture known as Tarantula. Roger got his PhD from UPC in 1997, has published over 40 peer-reviewed papers on Vector Architectures, Graphics/3D Architecture, Binary translation and optimization, Branch Prediction, and Media ISA Extensions and holds 9 patents with 41 international filings.

HPC is more than technology, it is a practice to solve complex problems!”. Romain Bottier is Dell Technologies HPC & AI Subject matter expert for South Asian market, helping our customers to translate real world challenges into HPC platforms that will support their research and business. 

Focusing on designing solutions for customers who needs scalable HPC, Data Analytics and AI platforms, across industries and business verticals.

Romain has been involved in the HPC industry for the last 15 years, covering Europe, Middle East and finally Asia Pacific territories, across industries.

Encountering some of the most demanding HPC workloads, from Academics, Energy, Manufacturing, FSI or even Media & Entertainment, 

Romain is always looking forward to assist our customer is building state of the art solution to help improve business or drive human progress.

Sachin Nagpal is the Solution Sales leader for Microsoft’s Azure Global Black Belt team focus on High Performance Computing & Artificial Intelligence in the Asia Pacific region. His charter is to drive technical computing solutions and leading Azure big compute imperatives associated with various industries like Academia, Research, Manufacturing, FSI and Energy. In addition, Sachin is also leading initiatives and developing Azure based solutions by working very closely with key partners and global ISVs.

A data science enthusiast with over 27 years of experience, Sandeep Lodha serves as a Co-Founder and Director for Singapore-based IT Solutions company Netweb Pte Ltd.

A Management Graduate, he has spearheaded high-value projects in Enterprise computing, Cloud, and HPC for Netweb across the world.

Prior to this, Sandeep served as the head of Sales & Marketing for Netweb Technologies, India. During his tenure, he accomplished major milestones for the company.

Sandeep Lodha also serves as a founder and board member for the Tyrone Foundation. An initiative to make quality education available to the weaker sections of society in India.

Stuart is DUG’s Chief Information Officer and self-confessed supercomputing evangelist. Stuart has a PhD in Theoretical Physics, and almost 30 years expertise in high-performance and cloud computing as a user, application developer, tool developer, system administrator, system architect and general HPC addict.  Stuart designed and developed the patented, immersion-cooling technology, known as DUG Cool which has a climate positive impact on the ESG footprint and was also instrumental in the construction of DUG’s supercomputer facilities and DUG HPC platform across 4 continents.

Vineet Jacob Kuruvilla, Ph. D., is the Principal Industry Manager at MathWorks. He works closely with innovation leaders in ASEAN to nurture and advance the adoption of MathWorks products and Model-Based Design methodology. He has over twelve years of experience in R&D in robotics for industries ranging from healthcare, manufacturing and arts.

Vineet has a Bachelor’s Degree in Electronics and Communication Engineering from the Cochin University of Science and Technology, India. He received his PhD from Nanyang Technological University in medical robotics, focused on robotics system control and computer vision.

He holds two engineering degrees: one in Industrial Engineering and another in Computer Engineering. He also holds a Master’s Degree in Models and Algorithms for Decision Support and a Ph.D. degree in Computer Science with an emphasis on Operations Research (Applied Mathematics). He is currently working as a Quantum Applications Engineer at PASQAL, where he helps the R&D team in developing innovative algorithms to extend the field of applications of PASQAL’s Quantum Computers. His work is mainly on Quantum Optimization and related applications.

Prof. Yang You is a Presidential Young Professor at the National University of Singapore. He received his Ph.D. in Computer Science from UC Berkeley. The focus of his current research is scaling up deep neural networks training on distributed systems or supercomputers. In 2017, his team broke the world record of ImageNet training speed, which was covered by the technology media like NSF, ScienceDaily, Science NewsLine, and i-programmer. In 2019, his team broke the world record of BERT training speed. The BERT training techniques have been used by many tech giants like Google, Microsoft, and NVIDIA. Yang You’s LARS and LAMB optimizers are available in industry benchmark MLPerf. He is a winner of IPDPS 2015 Best Paper Award (0.8%), ICPP 2018 Best Paper Award (0.3%) and ACM/IEEE George Michael HPC Fellowship. Yang You is a Siebel Scholar and a winner of Lotfi A. Zadeh Prize. Yang You was nominated by UC Berkeley for ACM Doctoral Dissertation Award (2 out of 81 Berkeley EECS PhD students graduated in 2020). He also made Forbes 30 Under 30 Asia list (2021) for young leaders and IEEE-CS TCHPC early career award.  More about Prof. Yang You is available here: https://www.comp.nus.edu.sg/~youy/.

Daniel Medeiros is a doctoral student at KTH Royal Institute of Technology and researches converged technologies for the HPC and cloud domains, with a focus on container orchestration and IO.

Hiroyuki Ootomo is a Ph.D. student at Tokyo Institute of Technology and studying under Dr. Rio Yokota. His research interests lie in high performance computing, especially mixed-precision computing using special hardware, randomized numerical linear algebra, and quantum circuit simulation. His current work is on a fast and high-accuracy GEMM on NVIDIA Tensor Cores and its application.

Kentaro Sano is the team leader of the processor research team at RIKEN Center for Computational Science (R-CCS) since 2017, responsible for research and development of future high-performance processors and systems. He is also a visiting professor with an advanced computing system laboratory at Tohoku University. He received his Ph.D. from the graduate school of information sciences, Tohoku University, in 2000. From 2000 until 2018, he was a Research Associate and an Associate Professor at Tohoku University. He was a visiting researcher at the Department of Computing, Imperial College, London, and Maxeler Technology corporation in 2006 and 2007. His research interests include data-driven and spatial-parallel processor architectures such as a coarse-grain reconfigurable array (CGRA), FPGA-based high-performance reconfigurable computing, high-level synthesis compilers and tools for reconfigurable custom computing machines, and system architectures for next-generation supercomputing based on the data-flow computing model.

Le Li is PhD student in the Graduate School of Information Science and Technology at The University of Tokyo. He did his undergraduate study in software engineering and has been working in high-performance computing for over 6 years. His most recent work has been in the application of parallel techniques to data analytics. His past academic research was about the power-efficient resource management of supercomputers and the acceleration of deep neural networks.

Måns is a Ph.D. student in High-Performance Computing at KTH Royal Institute of Technology’s School for Electrical Engineering and Computer Science. He is pursuing research on accelerating simulations in Scientific Computing with parallel computing and accelerators, focusing on methods in Computational Electromagnetics.

Md Atiqul Mollah is an assistant professor of Computer Science at Oakland University, Michigan. He graduated with a bachelor’s degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology and went on to work as a quantitative software developer for a year. He received his master’s and doctoral Degrees – both in Computer Science – from Florida State University. Atiqul’s research interests include modeling, control, and optimization of network flows, as well as scalability analysis for high-performance computing and data center systems.

Meiyue Shao is an associate professor in School of Data Science at Fudan University. He received his Ph.D. in mathematics from EPF Lausanne in 2014. Before joining Fudan University in 2019, he worked in Computational Research Division at Lawrence Berkeley National Laboratory as a postdoc fellow and a project scientist in succession. His research interests include numerical linear, high performance computing, and quantum mechanics calculations.

Ryohei Kobayashi received his Ph.D. degree from Tokyo Institute of Technology, Japan in 2016. He is an assistant professor of Center for Computational Sciences, University of Tsukuba, Japan. His research interests include GPU–FPGA-accelerated computing and FPGA systems for high performance computing. He is a member of the IPSJ, IEICE, IEEE, and ACM.

Shohei Minami is a high performance computing system engineer at Prometech Software, Inc. and doctoral student at the School of Computing of Tokyo Institute of Technology. His research interests include user-first high performance computing systems, including an easy introduction to the industry via a web interface or efficient scheduling for various users. He engaged in software (compiler) development of Supercomputer Fugaku ranked first in the TOP500 for the fourth consecutive season in a previous job. He received master’s and bachelor’s degrees in aerospace engineering from Tohoku University (2017, 2015).

April 1, 2017 – March 31, 2021 Faculty of Informatics, Kogakuin University

April 1, 2021 – Present Graduate School of Engineering, Kogakuin University

Takuya Edamatsu received the BE and ME degrees in computer science from the University of Tsukuba, Tsukuba, Japan, in 2018 and 2020, respectively, where he is currently working toward the Ph.D. degree. His research interests include high-performance computing and computer arithmetic.

Toshiyuki Imamura is a team leader of Large-scale Parallel Numerical Computing Technology Team at RIKEN Center for Computational Science and is responsible for developing numerical libraries on Fugaku. He received his Diploma and Doctorate in Applied Systems and Sciences from Kyoto University in 1993 and 2000. He was a Researcher at CCSE, JAERI (1996-2003), a visiting scientist at HLRS (University of Stuttgart, Germany) (2002), and an associate professor at the University of Electro-Communications (2003-2012). His research interests include HPC, autotuning technology, and parallel eigenvalue computation. His research group won the HPL-MpX in 4 consecutive periods (2020-20211) and was nominated as one of the finalists of the Gordon Bell Prize in SC05, SC06, and SC20.

Lei Xiaojun is a second-year PhD student at the Graduate School of China Academy of Engineering Physics, majoring in computational Mathematics. His research direction is theory and method of high-precision floating-point operation, region decomposition combined with neural network solving PDE.

Yuan is a lecturer in the Faculty of Science and Technology, Keio University, Japan and an adjunct associate professor at the School of Information Science and Engineering, Shenyang University of Technology, China. He received his Ph.D. from The University of Tokyo, Japan in 2014, M.E. with First Class Honours and B.Sc. from the University of Auckland, New Zealand in 2009 and 2005, respectively. His research interests include computer architecture, domain-specific accelerations and in-memory processing. He is a member of the ACM, CCF, IEEE and IEICE.

Simon McIntosh-Smith is Professor of HPC at the University of Bristol, UK. He began his career in industry as a microprocessor architect, first at Inmos and STMicro in the 1990s, before co-designing the world’s first fully programmable GPU at Pixelfusion in 1999. In 2002 he co-founded ClearSpeed Technology where, as Director of Architecture and Applications, he co-developed the first modern many-core HPC accelerators. He now leads the HPC Research Group in Bristol, where his research focuses on advanced computer architectures and performance portability. He leads the Isambard supercomputer service which combines Arm-based CPUs with a diverse range of CPUs and GPUs.

DK Panda is a Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. He has published over 500 papers. The MVAPICH2 MPI libraries, designed and developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 3,300 organizations worldwide (in 90 countries). More than 1.65M downloads of this software have taken place from the project’s site. This software is empowering many clusters in the TOP500 list. High-performance and scalable solutions for Deep Learning frameworks and Machine Learning applications are available from https://hidl.cse.ohio-state.edu. Prof. Panda is an IEEE Fellow and recipient of the 2022 IEEE Charles Babbage Award. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/~panda.

Gilad Shainer serves as the chairman of the HPC-AI Advisory Council organization since 2008. He is an HPC evangelist that focuses on high-performance computing, high-speed interconnects, leading-edge technologies and performance characterizations. Mr. Shainer also serves as the president of the UCF consortium, a member of IBTA and a contributor to the PCISIG PCI-X and PCIe specifications. Mr. Shainer holds multiple patents in the field of high-speed networking. He is a recipient of 2015 R&D100 award for his contribution to the CORE-Direct In-Network Computing technology and the 2019 R&D100 award for his contribution to the Unified Communication X (UCX) technology. Gilad Shainer holds a MSc degree and a BSc degree in Electrical Engineering from the Technion Institute of Technology in Israel.

Jerry Chou is currently a professor of the Computer Science department at National Tsing Hua University (NTHU), Taiwan. He received his Ph.D. degree from the Computer Science Engineering department at UCSD in 2009 and worked at the Lawrence Berkeley National Laboratory in 2010-2021 before joining NTHU as an Assistant Professor. His research interests are in the broad areas of distributed systems, parallel computing, high-performance computing and cloud computing. He also servesd as the co-director of AIMS(Artificial Intelligence for Intelligent Manufacturing Systems Research Center) and the supervisor of the student cluster competition teams that won ASC’19, HPC-AI’22 and SCC’22.

Jingbo got her PhD in geophysics at the University of Cambridge UK, followed by a Post Doc at Lawrence Livermore National Laboratory in US. She has been serving research community since joining National Computational Infrastructure (NCI) Australia with expertise in research data management, software and data engineering, and building data intensive applications over a decade. As the acting Deputy Director of Business Development and User Engagement at NCI, she has been leveraging her domain knowledge as well as her leadership role in the data and computationally intensive areas to support the HPC community in APAC region.

M Teguh Satria is the Assistant System Manager at the National Supercomputing Centre (NSCC) Singapore.

Teguh joined NSCC in 2020. Prior to that, Teguh had worked in various industry sectors – research, IT services and finance – as system integrator, application developer and technical consultant in HPC and GPU computing technologies.

Teguh received his Bachelor of Science degree in Mathematics from Bandung Institute of Technology, Indonesia in 2006, and Master of Science in Computer Science from National Taipei University of Technology, Taiwan in 2009.

Shuang Xie is a an expert with broad knowledge in software defined storage, operating systems, high speed interconnects and NVMe SSD technologies. Shuang Xie is 20-year veteran of the computing industry in various engineering and leadership roles in the area of high performance storage. He has more than a decade of experience building backend and storage infrastructure at companies such as Wester Digital, Virident Systems, Fusion IO, Sun Microsystems.

Worawan Diaz Carballo (Marurngsith) is now an assistant professor at Thammasat University Lampang Campus, Thailand. She is fascinated by finding performance implications of modern AI workloads to identify the most efficient, resilient platforms practically suitable for them. She is always enthusiastic in teaching and encouraging Thai students to participate in international activities. In 2021 – 2022 she coached thje student teams and won the “Third Place” in the APAC HPC-AI Competition. The team received the “Best HPC Performance” award in 2022. In 2011, she was a winner of the Intel Microgrant Award: “putting theory into practice” for teaching high-performance computing. She received the best paper award for her first paper, published in 2004 by the Society for Modelling and Simulation International.

Prof. Ziwei Liu is currently a Nanyang Assistant Professor at Nanyang Technological University, Singapore. His research revolves around computer vision, machine learning and computer graphics. He has published extensively on top-tier conferences and journals in relevant fields, including CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, TPAMI, TOG and Nature – Machine Intelligence. He is the recipient of Microsoft Young Fellowship, Hong Kong PhD Fellowship, ICCV Young Researcher Award, HKSTP Best Paper Award and WAIC Yunfan Award. He serves as an Area Chair of CVPR, ICCV, NeurIPS and ICLR, as well as an Associate Editor of IJCV.

Mao Zunyao is the current captain of the student supercomputing team of Southern University of Science and Technology(SUSTech). In this APAC HPC-AI 2022 competition, he led the supercomputing team of Southern University of Science and Technology to win the second prize. He participated in the ASC22 competition and won the first prize in the finals. He is currently pursuing a M.Phil degree in the major of Computer Science in SUSTech. He is engaged in research of high-performance computing under the supervision of Assistant Professor Li Zhuozhao. He received a bachelor’s degree in the major of Computer Science from SUSTech. During his undergraduate studies, he participated in system research of database and cloud computing. The related papers have been accepted by SIGMOD and SoCC. He interned at Huawei 2012 Lab and Amazon Web Services AI Lab, and participated in the design and development of RDMA communication for distributed database and graph neural network sampling system respectively.

Aditi is a dynamic digital communicator and tech enthusiast, who is driven by her passion for creating diverse and inclusive cultures. She is a strong advocate for opening doors for girls and underrepresented groups. With her deep understanding of the tech world and her drive for change and a diversity champion at the Pawsey Supercomputing Research Centre, Aditi works tirelessly to challenge the status quo and create a more inclusive and equitable community. With her passion and drive, Aditi is poised to make a positive impact in the tech industry and beyond.

Chandni is a Business Development Manager at NCI. Originally from New Delhi, India, she has over a decade of experience in Business Development, Marketing and Sales within the realms of education, trade, and hospitality industries.

Over the course of her career, one of Chandni’s most notable roles included serving as a brand custodian for Australia’s education sector in India at the Australian Trade and Investment Commission (Austrade). Chandni is adept at project management, client relations and is particularly passionate about working on projects with people across diverse backgrounds.

I’m from Italy (coming from the Alps) and ‘ve done my Bachelor in Physics Engineering at Politecnico of Torino and my Master in Physics specializing in Quantum Information and Computation In Torino as well. I’ve Moved to Singapore for my master thesis and then decided to stay for a PhD in Ultra-cold atoms interacting with superconducting circuits in Rainer Dumke’s laboratory (Centre for Quantum Technology under NUS). Two and a half years ago I’ve moved to Finland where I started working as a Quantum Engineer at IQM, a major European start-up building full stack superconducting quantum computers, in the calibration and benchmarking team where I measure and benchmark IQM’s line-up of quantum processors, works on automation of calibration of quantum processors and test new designs. I work in a very diverse team (and company) where all together we want to deliver state-of-the-art products.Outside of work, I really enjoy spending time in the nature, travelling, doing sports, food and in general I live my life to the fullest.

Kate is a passionate advocate for women in STEM and the innovation ecosystem. Founder of She Codes, she has led the steep growth of the project since 2015. Thanks to her work, more than 5000 women have learnt to code through free programs. She has hustled to source more than a million dollars from government and industry to support women in STEM. With a regional upbringing, she strongly believes in empowering women from the world’s remotest regions, from as far north as Port Hedland and Karratha, and east as far as Brisbane. Kate has also contributed to the growth of Spacecubed, and since 2014 has played a pivotal role in building community and coordinating other programs including Plus Eight, Startup Weekend, Meshpoints. Kate was recently awarded a Business News 40 under 40 award, the West Australian Rising Star award and was a runner up for the 2019 and 2020 Seven News Young Achiever Awards.

Dr Li is the co-lead of the Diversity Working Group at A*STAR. A woman in science doing science for women, her research work tackles issues in women’s health and genetics and champions ways in which women can better advocate for their own health. She has spoken widely about diversity topics including gender equality in STEM and harnessing the power of diversity at UNESCO, Asia-Europe Foundation, HSBC Women Leaders Forum, and Disney SEA.

Yvonne is a Principal Investigator in the Centre for Quantum Technologies and a Presidential Young Professor in the Department of Physics, National University of Singapore. Her team works on building robust quantum hardware using superconducting microwave circuits. Their devices provide useful avenues to develop novel techniques for quantum information processing as well as to explore interesting effects in quantum physics. For her contributions in the quantum hardware development, Yvonne has been awarded the Singapore Young Scientist Award, the Singapore National Research Foundation (NRF) Fellowship and MIT Tech Review’s Innovator’s Under 35 (Asia-Pacific) award.

Dr. Haw Jing Yan is currently a Quantum Communications Technologist in the National Quantum-Safe Network at the Centre for Quantum Technologies, National University of Singapore. With more than 10 years of experience in quantum science research, his current responsibilities include the deployment of quantum key distribution devices, security validation & standardisation of quantum-safe technologies, and liaison with industrial & government agencies. He was also an external consultant for the Fraunhofer Heinrich Hertz Institute, Berlin, Germany to provide expertise on the development of quantum communication networks. He holds Doctor of Philosophy in Physics from the Australian National University on experimental quantum communications technology.

Dr Yang Liwei is currently a research scientist at Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore. His research interests include high-performance computing, quantum computing, reconfigurable computing, neuromorphic computing, optimization in EDA toolchain and compilation for efficient AI and deep learning applications. He is working on the simulation of quantum circuits, efficient integration of HPC and quantum computing and is leading the effort in the R&D of middleware in National Quantum Computing Hub (NQCH) at Singapore. He received his Ph.D. degree in computer science from Nanyang Technological University (NTU), and both M.S. and B.S. degrees from University of Electronic Science and Technology of China (UESTC).

Dr. Manas Mukherjee, the Director of the National Quantum Fabless Foundry (NQFF), IMRE/A*star and a Principal Investigator at the Centre for Quantum Technologies, NUS, Singapore, has 20+ years of experience in quantum technologies. He was the recipient of the Lise-Meitner Fellowship (2005-2007) and the International Max-Planck Fellowship (2010-2012). As the founding director of the NQFF, he is overseeing the development of various quantum devices using micro and nano-fabrication techniques related to superconducting qubits, ion traps qubits and photonic integrated circuits. His primary research interest is the development of ion trap based quantum information processors and the use of similar technologies for sensing and simulation of physical environment.

Ever since being exposed to the wonders of quantum mechanics in primary school, Dr. Johansson has been fascinated by its ability to successfully stand against common sense. In his role as Quantum Strategist at CSC, The Finnish IT Center for Science, he explores and enables the uptake of quantum tech in R&D communities. He is a leading expert in the field of quantum-accelerated high-performance computing and vice-director of the Finnish Quantum-Computing Infrastructure. He spent twenty years in academia, studying and teaching quantum mechanical effects in (bio)chemistry and holds an associate professorship in physical chemistry at the University of Helsinki.

Alex is a Senior Network Engineer at KAUST doing Network Science Engagement, by supporting the academic community and developing network and IT related projects aiming to improve the scientific research outcomes and the end-user experience. He has been participating for a long time in Research and Education Networks, contributing to management, engineering, e-science and areas like R&D, performance monitoring, and measurement.

Andrew Howard is Associate Director Cloud Services of the National Computational Infrastructure at the Australian National University. Andrew has many decades of hands-on technical, diplomatic and logistics experience covering a wide range of standard and bespoke technologies, languages and applications within Industry, government and academia nationally and internationally. He currently chairs the judging panel of the SuperComputing Asia Data Mover Challenge and the APAN Program Committee and Co-Chairs the Cloud Security Alliance: HPC Cloud Security, APAN E-Culture and Asia Pacific Research Platform working groups.

Brenna Meade serves as the Network Engineer for the International Networks team at Indiana University, where she oversees maintaining and enhancing the performance of international science data transfers for TransPAC and NEA3R. She focuses on supporting science and cutting-edge network research.

Dr. Buseung Cho is currently a principal researcher and the Director of the KREONET Center at Korea Institute of Science and Technology Information (KISTI), responsible for KREONET, national research and science network of Korea.

He received the Ph.D. degree from Sungkyunkwan University. He joined KISTI in 2005. Since 2005 he has worked for KREONET Infrastructure and its advancement, development of advanced networking technology and international engagement/relationship.

He was an Assistant Professor in the Department of Data and High Performance Computing Science at University of Science and Technology (UST) from 2018. He has been an Associate Professor at UST since 2020.

Furthermore, he has been a member of the GNA-G (Global Network Advancement Group) Leadership Team since 2019 and a co-chair of the GNA-G AutoGOLE/SENSE WG. He is currently the chair of APAN-KR. He has served as the chair of P4 Application WG under SDN/NFV Forum, Korea since 2019.

His current research interest is on high performance networking, Software-Defined Network and P4 network programmability, network automation etc.

Chin Guok is the CTO and Planning and Innovation Department Head at ESnet, DOE’s high performance network user facility. He has been involved in network engineering at ESnet for over 25 years, architecting specialized overlay services within the ESnet production backbone, prototyping SDN production solutions, and facilitating design and architecture work. Most recently, he served as the lead architect for ESnet’s current network (ESnet6) that came online in mid-2022.

Bu Sung Lee, francis is currently an Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University. He currently holds the position as Director, International Networks at National SuperComputing Center(Singapore). Bu-Sung Lee was the founding Director, Service Platform Lab, HP Labs(Singapore) 2010-2012.

Bu-Sung Lee has been actively involved with the deployment of advanced networks in Singapore and the region. He is the founding President of Singapore Advanced Research and Education Network (SingAREN) in 2003-2007 and currently, the secretary. He is active in the region, the current Chair of the TEIN*CC Advisory Board, and member of the [email protected] steering committee, funded by EU Aid.

His research areas cover both Grid/Cloud Computing and network. Lately he has carried out research in the areas of Data Analytics and Big Data. He currently holds a number of grants on Data Analytics and Machine Learning.

Frank Würthwein, Ph.D., is the director of the San Diego Supercomputer Center. He is the PI of the “Prototype National Research Platform”, funded by the National Science Foundation, the OSG Executive Director, a faculty member in the UC San Diego Department of Physics and a founding faculty member of the Halıcıoğlu Data Science Institute at UC San Diego. Würthwein received his Ph.D. from Cornell in 1995. After holding appointments at Caltech and MIT, he joined the UC San Diego faculty in 2003.

Hidehisa Nagano received the B.Eng., M.Eng. and Ph.D. degrees in 1994, 1996 and 2005 respectively, all from Osaka University, Japan. 

From 1996 to 2020, he worked for NTT Corporation, Japan. Since 2020, he has been working for National Institute of Information and Communications Technology (NICT), where he is currently the Director of ICT Testbed Research, Development and Operations Laboratory. His research interests include media information processing, AI, and AI network. 

Dr. Nagano is a senior member of IEEE and a member of IEICE and IPSJ. He was awarded the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology of Japan (Prizes for Science and Technology, Research Category) and others.

He is a Principal Researcher of Korea Institute of Science and Technology Information (KISTI) which is the national Supercomputing & Advanced Research Network Center. Especially, working for Dept. Advanced KREONET Center. Interesting research areas include in ScienceDMZ & PRP, Network QoS & Network Engineering, Software Defined Network & Future Internet, Cloud Computing & Network Virtualization, Remote Collaboration and so on. He is a chair of APRP (Asia Pacific Research Platform) WG in APAN.

Joe Mambretti, Director of the International Center for Advanced Internet Research (iCAIR) at Northwestern University, researches large scale L1/L2 transport networks, with a focus on data intensive science applications. The Center, created in partnership with major technology corporations, designs and implements architecture, services and technology for data intensive applications (metro, regional, national, and global). He is also Executive Director of the Metropolitan Research and Education Network (MREN), an advanced high-performance network interlinking research organizations across seven upper-Midwest states. He is the Director of the StarLight International/National Communications Exchange Facility in Chicago, a global exchange for advanced high performance networks, especially for data intensive science, supporting over 100 private networks, 80*100 Gbps circuits and 25 local, national, and international network research testbeds.

Rod Wilson serves as Chief Technologist, External Research Networks, in Ciena’s CTO Group, where he is responsible for Ciena’s leadership & global interactions with universities, government programs, standards bodies and national research and education networks. As such, he orchestrates intersections between emerging technologies, advanced architectures and Ciena research and development groups. Mr. Wilson leads technology incubation initiatives and helps drive promising innovations to life.

Mr. Wilson studied Electrical Engineering at Ryerson Polytechnical Institute in Toronto Ontario. He is a graduate of the Executive Management school at Stanford University in Palo Alto, California, and has received an honorary degree from Algonquin College school of applied technology in Ottawa Canada. He is a recipient of the Queen Elizabeth II Jubilee medal for his service to Canada.

Aishwarya is a Ph.D. student in Computer Science at Iowa State University. She completed her bachelor’s in computer science and engineering from India and her M.S. from Iowa State University. Her areas of interest lie in designing, optimizing and accelerating domain-aware or knowledge-guided neural networks for real world applications with high performance computing. She is also interested in accelerating graph neural networks and transformers.

Dr. Takanori Haga is an associate senior researcher at Japan Aerospace Exploration Agency (JAXA). He received his PhD degree from Tohoku University in 2009. His research interest includes high-order schemes, efficient physical models for large-eddy-simulation (LES) and HPC. His current project focuses on developing a high-fidelity LES solver for full-scale liquid rocket engines.

Professor Aoki has been working on Computational Fluid Dynamics and High-performance Computing for more than 20 years. Since 2009, he has been a deputy director of Global Scientific Information and Computing Center (GSIC), a world leading supercomputing center for GPU computing. He has been a pioneer for GPU applications and first published GPU programming (CUDA) textbook in Japan. His team succeeded in a phase field simulation on 330 billon mesh with 4,000 GPUs and awarded as Gordon Bell Prize in 2011. He has been recognized as a CUDA Fellow by NVIDIA. Recently he is interested in sport aerodynamics.

My name is Vahid Jafari, I studied B.Sc. of mechanical engineering and M.Sc. of aerospace engineering and since July 2020 I work as research assistant at Helmut Schmidt University/ Chair for High Performance Computing in Hamburg, Germany. Our chair is working on several aspects of high-performance computing like fault tolerance, code optimization and multi-scale simulation. I am working currently on the fault tolerance algorithm and coupled particle motion/CFD simulation. Furthermore because of my educational background in mechanical/aerospace engineering I am particularly interested in the HPC application in mechanical engineering.

Angie Huang is the Senior Manager for Strategy, Planning and Engagements for National Supercomputing Centre Singapore (NSCC), under A*Star. She oversees strategic engagement activities where she actively promotes the adoption of high-performance computing to the research communities.

Prior to joining NSCC, Angie has worked as a regional communications lead for the Asia Pacific region and is well versed in content marketing, event management and campaign activation. A passionate advocate in promoting digitalisation and education, Angie enjoys building innovation ecosystems by being the connect between communities and organisations.

Dao Zheng is a Computer Science Undergraduate in Nanyang Technology University’s Renaissance Engineering Programme. With prior experiences in the realm of data collection, his role in Team Viridis was to gather relevant data and parse these datasets into an optimised format for training of their machine learning pipeline. As a budding computer scientist, Dao Zheng is eager to learn and explore the different technologies available today. His interests are in data, including data analysis and data engineering, as he believes in harnessing big data to help inform business decisions.

Hui Xiang is a student from Nanyang Technological University’s Renaissance Engineering Programme, with a specialisation in Computer Science. Within Team Viridis, Hui Xiang’s role was to access the HPC resources provided and train their machine learning pipeline.Currently, his software skillsets include web development, firmware programming, cybersecurity and machine learning. Hui Xiang is actively exploring new computer science technologies in areas like backend development and devops, and constantly furthering his skills in areas like machine learning, data analytics and web development. To apply his software skillsets and put his knowledge to good use, Hui Xiang actively participates in various hackathons and competitions, attaining stellar results across software engineering hackathons, data science competitions and capture-the-flag events.

Ren Jie is currently a Year 2 Information Systems and Urban Science Undergraduate at the Singapore Management University. His interests are in urban science and urban planning. He currently is pursuing an individualised second major in Urban Science at the College of Integrative Studies, aiming to utilise, integrate and interpret data from the city into innovative solutions for cities of the future.

Sui Kiat is a current sophomore student at Nanyang Technological University studying the Renaissance Engineering Programme (REP). He is pursuing a concurrent double degree: a Bachelor’s degree in Computer Science and a Master’s in Technological Management. Sui Kiat is deeply interested in emerging technologies and has experience in full-stack development, cloud architecture and services, and product management. He has won multiple awards across multiple fields including but not limited to deep learning, drone technology and medtech. Sui Kiat’s current interest involves the financial sector and the implementation of high-performance/ high-frequency trading through software engineering.

Suwira leads all commercial initiatives in Aleph Technologies as the Co-founder and Business Lead. He possesses more than 5 years of experience in leading his family business in manufacturing and 3 years in consulting, specializing in operational optimization. Together with his co-founders, who possess more than 42 years of experience in process engineering and industrial digitalization, they started Aleph Technologies in 2021 to provide a solution for the manufacturing industry to optimize their energy usage and decarbonize energy-intensive operations.

Graduated from the Singapore Management University with a Bachelor’s Degree in Business Management, Zhi Rui builds productivity apps, automation tools, and geomatic workflows for HSC Pipeline Engineering. Following the successful implementation of large-scale vehicle-mounted ground penetrating radar scanning, and accurate localized digital twinning via lidar-equipped mobile phones coupled with microtized high accuracy GNSS RTK antennas, Zhi Rui is now working with various parties to create a unified GIS platform for Singapore’s underground utilities.

Prof Angelakis has been leading quantum computing research teams in UK, Greece and Singapore for roughly 20 years. He completed his PhD in Imperial College followed by a research position in Cambridge DAMTP and the Centre for Quantum Computing. His work is focused in developing resource efficient, hybrid analog-digital quantum algorithms that can be implemented with near term quantum computers with applications in chemistry, optimization and machine learning. Awards he has received include the 2018 Google Quantum Innovation Award and the Valerie Myerscough Award from University of London, as well as the best PhD thesis award from the Institute of Physics UK. Beyond basic science, he has also been working on quantum software solutions for industry use cases in finance, market research, aviation, energy management and route optimization.

Bruno G. Taketani works at IQM Quantum Computers leading the integration of the company’s system into HPC environments. His work on quantum computing started in his Ph.D. focused on the development of noise-resilient protocols. He then followed by 5 years of postdoc in Germany working on quantum algorithms and applications. Before joining IQM, Bruno held a professorship for four years in southern Brazil, where he helped strengthen the local efforts in quantum technologies.

Kievit graduated his Masters with honours (Cum Laude) from Delft University of Technology’s Mechanical Engineering programme, specializing in micro & nano engineering. He co-authored his work on the design, fabrication and usage of MEMS based systems. He later added an MBA from Rotterdam School of Management to his qualifications. Currently, Eric Kievit (37) has extensive experience with starting and scaling up hi-tech ventures. Kievit is the cofounder of a market leader in research equipment for electron microscopy. He went on to establish his own consultancy firm, and later became Managing Director of a company in plastic waste reduction. Since 2022, Eric Kievit joined the Board of Qblox as COO, overseeing the growth of its commercial and operational activities on a global level.

Jin-Sung Kim is the Developer Relations Manager for Quantum Computing at NVIDIA and is based out of San Francisco. Prior to NVIDIA, he was a Research Staff Member at IBM Quantum. Jin-Sung holds a PhD from Princeton University in electrical engineering and materials science.

Tian Huang received his BSc and Ph.D. degree from the Shanghai Jiao Tong University, Shanghai, China in 2008 and 2016. He is currently a research scientist with Institute of High Performance Computing, Agency for Science Technology and Research, Singapore. His research interest lies in high-performance computing and machine learning algorithms.

David is a Professor of Computer Science, and currently heads the University of Queensland Research Computing Centre.

He has been involved in computer architecture and high performance computing research since 1979.

David has expertise in High Performance Computing, distributed and parallel computing, computer architecture and software engineering.

He has produced in excess of 230 research publications, and some of his work has also been integrated in commercial products

David is a Fellow of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronic Engineers (IEEE), the Australian Academy of Technology and Engineering (ATSE), and the Australian Computer Society (ACS).

Dr Adrian Mak obtained his PhD in Chemistry at the National University of Singapore (NUS) in 2008 and was a postdoctoral fellow at the University of California, Berkeley from 2009 to 2011 working on problems in Electronic Structure Theory and Quantum Chemistry. At the Institute of High Performance Computing (IHPC), a research institute of the Agency for Science, Technology and Research (A*STAR) he works on various Computational Chemistry applications such as Catalysis and Spectroscopy, and more recently, Quantum Computing for Quantum Chemistry.

Hoong Chuin LAU is Professor of Computer Science at the Singapore Management University, and jointly appointed by A*STAR as a Principal Scientist at the Institute of High Performance Computing. He was named the top 2% scientists in the world in a global study by Stanford University conducted in 2020. Currently, Hoong Chuin serves on the editorial board of the ACM Journal on Autonomous Transportation as well as Journal of Scheduling. In his 20+ years of academic profession, he taught a number of undergraduate and graduate courses, including AI Planning and Decision Making, Design and Analysis of Algorithms, Advanced Topics in Intelligent Systems.

Ng Hui Khoon is an Associate Professor at Yale-NUS College, and holds a joint appointment at the Centre for Quantum Technologies, NUS. She is currently the Director of the Division of Science at Yale-NUS, and is the Deputy Director (NUS) for MajuLab, a joint French-Singapore lab focused on quantum research. Her group works on quantum computing, in particular on the topic of quantum error correction and fault tolerance, the main thrust for overcoming the biggest obstacle — the issue of noise and its damaging effects — to the realisation of useful quantum computers. Her recent interest has been in bringing theoretical error mitigation schemes closer to practical implementation, including examining their limitations as well as the resource costs of implementing quantum computers that are noise resilient.

Dr. Broz has responsibility for driving commercial quantum applications and business adoption of advanced quantum computing capabilities. Joe joined IBM Quantum in March 2021 as the founding Executive Director and Chairman of the Federally chartered quantum consortium (QED-C) under the National Quantum Initiative Act. He has supported Defense, Air Force, Homeland Security, and other departments and agencies through research and consulting contracts, and advisory groups. Prior to that, he served as VP of Applied Sciences at SRI, where he led six laboratories in applied science, government business development, technical and business strategy. He also served as VP of Business Development and Research at Titanium Metals, and Laboratory Director at Tenneco, Inc., where he was responsible for product development, manufacturing operations, quality, technology and environmental management across several corporate divisions worldwide. He served as a White House Fellow for the Office of Science and Technology Policy in the administration of George H.W. Bush. He has been a British American Fellow at Johns Hopkins SAIS, and a Senior Fellow for National Security at NORC at the University of Chicago. Broz has a B.S. in physics from the Massachusetts Institute of Technology and a Ph.D. in physics from the Swiss Federal Institute (ETH) in Zurich.

Gu is originally from New Zealand and obtained his Ph.D. at the University of Queensland. After a faculty position at Tsinghua, he joined Nanyang Technological University in 2016. There he presently leads the quantum and complexity science initiative, with a present focus on quantum-enhanced modelling, causal inference, and data analytics. Gu holds joint appointments at the Centre for Quantum technologies, and Majulab. Gu’s previous accolades include the National Research Foundation Fellow, the China 1000 talent, and was also winner of the IBM Quantum Pitch Contest in 2020.

Diksha Shekhawat is a Ph.D. (Engineering Sciences) scholar at the Academy of Scientific and Innovative Research (AcSIR), Council of Scientific & Industrial Research-Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani. She did an M.Tech. (Advanced Electronics Engineering) from AcSIR, CSIR-CEERI, Pilani, India, in 2021, and B.Tech. (Electronics and Communication Engineering) from B.K. Birla Institute of Engineering & Technology (BKBIET), Pilani, in 2019. She also worked as a Project Associate-I at CSIR-CEERI, Pilani. Her research interests include digital logic design, computer arithmetic, computer architectures, VLSI design, RTL design, System-on-chips (SoCs), hardware security, secure processor design, and FPGAs.

Federico Rossi is a PhD student at the Information Engineering Department at University of Pisa. In 2019 he received his Master Degree in Computer Engineering magna cum laude. He is currently involved in the European Processor Initiative (EPI2), TextaRossa and EuPilot projects. His research topics include alternative real  number representations and their applications to Deep Neural Networks and RISC-V hardware environment.

Error resilience in neural networks has allowed for low-precision floating-point representations for mixed-precision training to improve efficiency. Although the IEEE 754 standard had defined a 16-bit float representation, several other alternatives targeting mixed-precision training have emerged. However, their varying numerical properties and differing hardware characteristics make them more or less suitable for the task. Therefore, there is no clear choice of a 16-bit floating-point representation that is accepted. In this work, we evaluate all 16-bit float variants and upcoming posit™ number representations proposed for neural network training on a set of CNNs and other benchmarks to compare their suitability.

Prof. John L. Gustafson (www.johngustafson.net) is a Visiting Scholar at Arizona State University. He is the inventor of several novel forms of computer arithmetic first introduced in his 2015 book, The End of Error: Unum Computing.  He is best known for his 1988 argument showing that parallel processing performance need not be limited by “Amdahl’s law” now generally known as Gustafson’s law. Previously, he has been Senior Fellow and Chief Product Architect at AMD and a Director of Intel Labs. He is a recipient of the inaugural Gordon Bell Prize and is a Golden Core member of IEEE.

Moritz Barthel received the B.Sc. and M.Sc. degrees in electrical engineering and information technology from the University of Bremen, Bremen, Germany in 2015 and 2018, respectively. Since then, he has been with the Institute of Electrodynamics and Microelectronics, Communication Electronics Work Group, University of Bremen, as a research associate and Ph.D. candidate.

His special research interests are innovative digital number formats, digital arithmetic and hardware implementations of wireless communication systems.

After earning his master’s degree in physics, Moritz Beutel began a doctorate in Computer Engineering, only to be led back to an astrophysical problem. Moritz works on simulations of protoplanetary structure growth processes by combination of stochastic and deterministic methods, with particular attention to the efficiency of stochastic particle simulations.