Natural Language Processing
Python SciPy, Pandas, etc
Azure Machine Learning API
and many more..
Dr. Michael Brand is the Head and Founder of Otzma Analytics, a Data Science consultancy dedicated to maximizing clients’ value from data by providing analytics upskilling, project review, and executive mentoring. Before founding Otzma in 2018, Dr. Brand served as Chief Data Scientist at Telstra, as Senior Principal Data Scientist at Pivotal, as Chief Scientist at Verint Systems, and as CTO Group Algorithm Leader at PrimeSense (where he worked on developing the Xbox Kinect). Dr. Brand also served as Director of the Monash Centre for Data Science in his role as Associate Professor for Data Science and AI at Monash University, where he remains an adjunct. Dr. Brand holds a Ph.D. in IT from Monash University, an MSc in Applied Mathematics from the Weizmann Institute of Science, and a BSc in Engineering from Tel-Aviv University. He has made industry-defining contributions that have earned him 18 patents (more pending), garnered many prestigious industry and academic awards, and power flagship products for the companies he worked with.
Dr. Nathan’s accomplishments resulted in him being named as one of Australia’s Most Innovative Engineers by Engineers Australia & as one of Australia’s and the US’ Top Ten Young Scientists by Popular Science magazine, along with receiving a number of other international awards and recognitions. Dr. Nathan is the Founder | CTO at Presien – cutting edge AI vision systems, a Special Advisor for Robotics | Ventures at one of the world’s larger private construction companies, a Director of the Robotics Australia Group peak body & sit on the Advisory Board of Queensland Robotics. He is an active academic researcher in robotics as an Honorary Professor at the Ohio State University. Previously he has served multiple academic appointments at Stanford University and the University of Technology Sydney. Dr. Nathan’s speciality is uncovering and imagining opportunities for emergent future technologies in the real world and forging viable R&D to Delivery pathways to their realisation. One of his multi-award winning portfolio projects – Blindsight by Presien (formerly Toolbox Spotter) AI computer vision for heavy industries – recently evolved into a $7m VC funded spinoff. He has over 15+ years in industry, and 10+ years in academia, initiating, shaping, driving and leading cutting-edge, research driven disruptive innovation.
Aditya is a tech enthusiast with more than 7 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has completed his Masters in Data Science from the National University of Singapore. He has worked across various domains including automotive, banking, retail among others consulting various clients around the globe. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards technology, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building solutions in Data Science and AI and educating students and professionals in the same areas. He also founded Code for India which specializes in delivering top notch skills in Data Science and AI as required in the
industry today. Apart from work, he loves to engage with kids and get involved in social work.
Reza Shokri is an NUS Presidential Young Professor of Computer Science. His research focuses on data privacy and trustworthy machine learning. He is a recipient of the IEEE Security and Privacy (S&P) Test-of-Time Award 2021, for his paper on quantifying location privacy. He received the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies in 2018, for his work on analyzing the privacy risks of machine learning models. He also received the NUS Early Career Research Award 2019, VMWare Early Career Faculty Award 2021, and Intel Faculty Research Award (Private AI Collaborative Research Institute) 2021. He obtained his Ph.D. from EPFL.
Ravi has professional experience of eight years in AI and ML at scale with expertise in building enterprise solutions and ML Engineering. He is part of the Centre of Excellence and responsible for building ML products from inception to production. He has worked on multiple engagements with clients mainly from Automobile and Retail industry across geographies.
He holds a bachelor’s degree in Computer Science with a proficiency course in Reinforcement Learning from Indian Institute of Science. He is a certified Google Cloud Architect and Kubeflow contributor.
Juan Kanggrawan is the current Head of Data Analytics at Jakarta Smart City. His key role is to fully utilize data to formulate public policy and to improve the quality of public services. Juan is currently working on several city-scale strategic analytics initiatives. He is actively analyzing complex, diverse and exciting urban data on a daily basis: citizen complaint/aspiration, transportation/mobility, health (COVID-19), CCTV, Open Data, weather-flood-river bank, subsidy utilization, food commodities price elasticity, etc. He is also developing and aligning a strategic partnership framework between Jakarta Smart City with other government agencies, business enterprises, research agencies, and universities.
Raghav Bali is a Senior Data Scientist at Optum(United HealthGroup), one of the world’s largest health care organizations. With about a decade’s experience working across Fortune 500 organizations such as Intel and American Express, his work involves research & development of enterprise-level solutions based on Machine Learning, Deep Learning, and Natural Language Processing for real-world use-cases. Raghav has published multiple peer-reviewed papers, has authored over 7 books, and is a co-inventor of multiple patents in the areas of machine learning, deep learning, and natural language processing.
Rowel Atienza is a Professor and Scientist at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence. He received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution on the field of active gaze tracking for human-robot interaction. Dr. Atienza is the author of Advanced Deep Learning with TensorFlow 2 and Keras. His current research work focuses on robotics, computer vision and AI.
Seng-Beng Ho has 9+ years (2009-now) as a Senior Scientist at Temasek Lab, National University of S’pore, and at AI Program & IHPC, A*STAR, S’pore. Initiated project to create a general AI machine learning system with human-like rapid learning ability.
Designed and implemented, with a team of researchers, a Behavior and Intention Understanding System which learns analyzes, and predicts agents’ behavior from video. Led a team that implemented reinforcement learning for a commercial air-combat simulator – the CAE STRIVE-CGF System.
Aditya Kanade is an Associate Professor at the Department of Computer Science and Automation of the Indian Institute of Science. He completed his PhD at IIT Bombay and post-doc at the University of Pennsylvania. His research interests span machine learning, software engineering and automated reasoning. He has received an ACM best paper award, a teaching excellence award, and faculty awards from IBM, Microsoft Research India and the Mozilla Foundation. He has been a Visiting Researcher at General Motors Research, Microsoft Research and most recently, at Google Brain. He is particularly excited about the prospect of developing machine learning techniques to automate software engineering, and designing trustworthy and deployable machine learning systems.
Session on Advances in Machine Learning for Software Engineering Coming Soon!
Andrew has international expertise in the areas of machine learning, statistical analysis, cloud computing and AI. He is founding member of the boutique data science consulting firm Datamahi and sports industry specialists Media Rights Value.
Session on ML and Its Applications Coming Soon!
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