Singapore Collaboration Meeting: Speaker Bios & Abstracts
Surya Bhattacharya, PhD
Director, System in Package
Institute of Microelectronics
Dr. Surya Bhattacharya is Director, System-in-Package, at A*STAR Institute of Microelectronics (IME), Singapore. Over the past 30 years, he has worked on CMOS technology development, high-volume product manufacturing, and advanced package scaling at integrated device manufacturers (IDM), fabless companies, and research institutes. At IME, Surya leads the packaging team to initiate and execute industry consortia projects to address challenges in advanced heterogeneous integration for system scaling. Before joining IME, he served as Director of Foundry Engineering at Qualcomm, working on technology bring-up and product ramps at leading foundries. Surya has a PhD in Electrical Engineering from the University of Texas at Austin, and B.Tech in Electrical Engineering from the Indian Institute of Technology, Madras.
ABSTRACT: Multi-Chiplet Heterogeneous Integration Packaging for Semiconductor Systems
Semiconductor system scaling has been driven by the need to pack increased functionality and performance at lower power and into smaller form factors. In past decades, system scaling was achieved primarily through CMOS chip scaling. Hyper-scale data centres, generative AI, high-performance compute, co-packaged optics, automotive electronics and 5G/6G/SATCOM applications have driven the industry to adopt multi-chiplet heterogeneous integration (MCHI) packaging to overcome chip-scaling limitations and meet the demanding and diverse needs of power/performance/form factor/cost-driven semiconductors in a single package. This presentation will discuss the challenges and opportunities that the industry encounters along the path to achieving multi-chiplet trillion-transistor packages.
With over 20 years in manufacturing test, Andrew is putting his experience to expanding the boundaries of board test as well as venturing into new markets. Leveraging his unique perspective as a customer with end-to-end experiences in the field, support center, marketing, product management and procurement, he is uniquely qualified to create solutions for customer outcomes that matter. Collaborating with top name companies in the area of semiconductors, automotive electronics, computing and consumer products, he is a catalyst for a new strategic wave of innovation for Keysight manufacturing test.
ABSTRACT: Near-shorts Detection in Mission-critical Applications
The pervasive electronification of our lives means that semiconductors are playing ever-increasing roles in mission-critical applications such as automotive electronics. Never before have we entrusted our safety and well-being to such a scale – so much so that the “traditional” emphasis on detection of opens and shorts in electrical structural test is insufficient. “Near-shorts,” which are potentially failures-in-waiting, require a pre-emptive approach. In automotive electronics, where wire-bonded chip packages are heavily utilized due to their reliability, addressing “near-shorts” in these packages while still in production means that serious injury and death can potentially be avoided in the field.
Wint Kyi Phyu
Manager, Operation Engineering-Data Analyst & Manufacturing System
Kulicke & Soffa Pte Ltd
Wint joined Kulicke & Soffa in 2009 and currently serves as the Manager of Equipment Operation Engineering. In her role, she leads and manages a team of data analysts and data scientists. Her primary responsibilities involve overseeing Smart Manufacturing Digital Transformation and Data Analytics to enable business data insights for informed decision-making and strategic planning.
With more than 15 years of experience in semiconductor manufacturing, spanning both front-end and back-end markets, Wint possesses extensive technical expertise in systems integration in manufacturing, data-driven solutions, and change management. Over the past five years, her team successfully implemented an in-house-developed manufacturing execution system (MES) across all major business lines, enhancing operational productivity and efficiency through improved data connectivity and streamlining. Furthermore, her team is actively engaged in the development of advanced data analytical tools and solutions such as machine learning algorithms, aimed at improving product quality, accelerating time to market, and reducing manufacturing cost.
Wint holds a degree in Electrical Engineering from the National University of Singapore and a Diploma in Mechatronics from Nanyang Polytechnic.
ABSTRACT: Smart Manufacturing Analytic System Takes Your Manufacturing From Good to Great
In today's digital era, businesses are increasingly adopting digitalization. This presentation will delve into Kulicke & Soffa’s (K&S) digital transformation journey and framework. Wint will discuss how the Smart Manufacturing Analytics System significantly enhances operational efficiency, doubling productivity, and substantially reducing costs. Additionally, this system empowers real-time data access, connectivity, and efficient monitoring, enabling success-driven decision-making. Ultimately, it enables K&S to deliver high-quality products through data-driven solutions.
Lim Ek Hong
Project Manager, PhD Student
National University of Singapore, Institute of Operations Research and Analytics
Ek Hong is an end-to-end data science consultant with more than a decade of experience. He has provided consultancy services across diverse industries, including the public sector, manufacturing, transport, and financial services. Currently in the final year of his PhD journey, his research expertise lies in developing practical data science (AI) models and tools for industrial applications.
ABSTRACT: What is Data Science?
Data science was described as the “The Sexiest Job of the 21st Century” in a Harvard Business Review article in 2012. More than a decade later, the hype has continued to grow but so has the skepticism. Fuelled by competition and hype, numerous companies have embarked on the data science journey, but often struggle to realize concrete outcomes.
In this presentation, Ek will shed light on the practical reality of data science through the lens of the collaboration between K&S and NUS. He will illustrate how more than 90% of the pivotal data science work involves not the data science team but every other member in the organization. In fact, critical to the success of data science projects is the support and cooperation of people on the ground — any breakthroughs achieved were the direct result of the invaluable contributions made by engineers and technicians.