In this session, we will host three wonderful talks all about machine learning and AI systems. Jorjeta Jetcheva from Accenture will cover the challenges of deploying conversational AI at scale, and the key role of AI-assisted knowledge management in deploying enterprise-grade AI applications. Daphne Luong from Google will introduce an overview of research at Google, which tackles challenges that define the technology of today and tomorrow with examples of recent AI research and applications. Monica Martinez Canales from Intel will introduce various opportunities and challenges in machine learning and artificial intelligence.

Session Chair: Hyeran Jeon , Assistant Professor, Computer Engineering, San José State University

We allow AI to curate our music and movie playlists, answer our questions and translate foreign languages, and even drive our cars: in the past few years a broad range of AI applications have become so ubiquitous we can’t imagine everyday life without them. AI has allowed us to visualize how we will look when we get old and add funny headpieces to our selfies, but also to fight cyberbullying and diagnose cancer in its early stages. However, AI can also discriminate against underrepresented groups, or become a tool of propaganda and warfare. After many decades of baby steps towards Alan Turing’s vision of an intelligent machine, we are now experiencing an extraordinary growth with no signs of stopping. Our efforts to make machines intelligent raise several ethical questions that go beyond the design of the underlying algorithms and technologies.

In this panel, we will discuss the ethical aspects of AI, from the models and algorithms (bias, fairness, explainability, transparency, etc.), to the end outcomes (safety, privacy, malicious use, control, etc.), and finally the impact AI has on humans (automation, impact to democracy, human interaction, etc.)

Session Chair: Magdalini Eirinaki , Professor and Associate Chair, Computer Engineering, San José State Universit

Robots have been applied in healthcare and medical diagnosis for over a decade. Examples include surgeon assistants da Vinci, rehabilitation robots Lokomat, and disease analyzer using artificial intelligence (AI) InData Lab.  One of the first steps towards healthcare is diagnosis. Disease detection can be challenging and time-consuming, every minute counts when a dangerous infection strikes. Right diagnosis with right care is the key to speedy recovery.  Ms. Sree Rajeswari from Cepheid will talk about how to make diagnostics faster, more accurate, and available in remote areas.  Ms. Neeta Mhatre from Intuitive Surgical will share her first-hand experience on how da Vinci® surgical system and the Ion™ endoluminal system were developed, manufactured and marketed with a deep understanding of surgical needs, smart systems/instruments, and actionable digital insights.  Finally, Ms. Amanda Abiera from Shockwave Medical will present Intravascular Lithotripsy (IVL) that creates pulsatile sonic pressure waves to safely modify cardiovascular calcium. 

Session Chair: Winncy Du , Professor, Mechanical Engineering, San José State University

Intelligent systems are revolutionizing a wide variety of industries ranging from robotics to manufacturing, from security to transportation, etc. They are complex systems that use a large range of technologies including machine learning, computer vision, distributed computing, and wireless networking to help improve the efficiency, quality, and flexibility of the underlying systems. This session focuses on discussing intelligent systems in various applications such as robotics, manufacturing, and video processing.

Session Chair: Wencen Wu , Assistant Professor, Computer Engineering, San José State University

Virtual Reality (VR) is believed to be one of technological innovations that is about to change the world. VR has a wide range of applications including entertainment, military, sports, mental health, medical training, and education. In this session, we will learn about collaboration, social presence, and interactions in VR and shared 3D spaces. 

Session Chair: Birsen Sirkeci , Associate Professor, Electrical Engineering, San José State University

For most of the 20th century, all patients with the same disorder received similar treatment. Therapy has since become more individualized: the same disorder is now being divided into subtypes and treated accordingly. This march toward personalized, or precision, medicine for many disorders is being hastened by advances in diagnostic tools. These technologies can help physicians detect and quantify multiple biomarkers (molecules that signal the presence of a disorder) to divide patients into subgroups that differ in their susceptibility to a disease, prognosis or likelihood of responding to a specific treatment. This session will focus on the development of new diagnostic tools and treatment methods in academia and in industry.

Session Chairs: Liat Rosenfeld , Assistant Professor, Chemical Engineering, San José State University

This session will provide conference attendees with an opportunity to gain professional and personal insights from women technical leaders who are not only highly accomplished in their respective fields of endeavor, but also passionate in their advocacy of women as leaders and innovators in technology careers. Each of our panelists will share their experiences working in their respective industries to give attendees a broad perspective of different career options. They will also share personal and professional challenges faced, lessons learned, and successes achieved during their college years and careers. They will highlight what employers are looking for and how to land that first job as a college graduate.

Session Chair: Xiao Su , Computer Engineering Department Chair, San José State University

Artificial intelligence (AI) and machine learning are impacting our daily lives in many different ways. There are an increasing number of companies that use AI and machine learning to improve their products, services and optimize operations. In this session, we have invited Dr. Sharon Kim from MathWorks to talk about how deep learning can achieve state-of-the-art accuracy in different domains; Dr. Cynthia Kuo will talk about the intersection of AI applications and regulation in the automotive and health industries; and Dr. Dulce Ponceleón from IBM Research to talk about natural language processing.

Session Chairs: Feruza Amirkulova , Assistant Professor, Mechanical Engineering, SJSU
Hongrui Liu , Assistant Professor, Industrial and Systems Engineering, SJSU

Decentralized applications in blockchain have impacted various industry domains in digital payments, health business, agriculture, and automobile industries. The immutable and scalable blockchain platforms enable us to develop the most secure service for trading currencies and objects. This session will discuss the future directions of blockchain technologies with two industry speakers who are currently leading in blockchain technologies while introducing Hyperledger, an open-source project led by IBM.

Session Chair: Younghee Park , Associate Professor, Computer Engineering, San José State University

Flexible and wearable electronics command increasing market attention in today’s electronics arena.  Examples of active applications include flexible displays, flexible cell phones/computers/digital cameras, wearable healthcare monitoring, and other flexible and wearable electronic systems. In the past decade, we have witnessed the rapid development of various powerful products in this area that have changed our daily lives, enhanced work efficiency, improved healthcare technology, and more. These emerging technologies hold strong attraction for engineering students exploring career opportunities. Our session speakers come from organizations at the frontier of research, development and production of flexible and wearable electronics. 

Session Chair: Lili He , Professor, Electrical Engineering, San José State University

This session will provide conference attendees with an opportunity to gain professional and personal insights from women technical leaders who are not only highly accomplished in their respective fields of endeavor, but also passionate in their advocacy of women as leaders and innovators in technology careers. Each of our panelists will share experiences of working in their respective industries to give attendees a real-world perspective on different career options. They will also share personal and professional challenges faced, lessons learned, and successes achieved during their college years and careers. They will highlight what employers are looking for and how to land that first job as a college graduate.

Session Chair: Sheryl Ehrman , Don Beall Dean, Charles W. Davidson College of Engineering, San JoséState University

Chair: Jinny Rhee , Associate Dean, College of Engineering, San José State University

Chair: Katy Kao , Associate Professor, Chemical and Materials Engineering, San José State University

Chair: Thalia Anagnos ,Vice Provost, Undergraduate Education, San José State University