Session Chair:

Feruza Amirkulova

Assistant Professor,  Mechanical Engineering,  San José State University

Summary:

In recent years, we are experiencing the rebirth of AI and deep learning which drive innovation. Due to broader access to computing resources and large datasets, AI and deep learning are widely adopted in many industries. In this session, we have invited Dr. Jianghao Wang from MathWorks to talk about how deep learning can improve automated inspection and defect detection, and to show various deep learning based approaches to detect and localize different types of anomalies leading to a high throughput quality control in production systems;  and Dr. Yunyao Li from IBM Research to discuss the open challenges in supporting universal natural language understanding and to share their work at IBM addressing these challenges, in particular, she will demonstrate how universal semantic representation of natural languages can enable cross-lingual information extraction in concrete domains and  will show ongoing efforts towards seamless scaling existing NLP capabilities across languages.

Session Chairs:

Fariah Mahzabeen,

Assistant Professor, Aviation and Technology, San José State University 

Yun Wang

Assistant Professor, Biomedical Engineering, San José State University

Session Summary:

The session brings together professionals in the biomedical arena, who will focus on their experiences in navigating uncertainties and career changes in “Re-imagining the future”, while thriving in the field and working on breakthrough biomedical innovations.

Session Chair:

Liat Rosenfeld

Assistant Professor, Chemical Engineering,  San Jose Staté University

Session Summary:

Session Chair:

Heidi Livingston Eisips

Adjunct Faculty, Interdisciplinary Engineering, Marketing & Business Analytics,  San José State University

Session Summary:

Bias is natural and unavoidable. The human brain is hard-wired to organize social worlds by categorizing. Everyone holds both conscious and unconscious beliefs about various social and identity groups. Unfortunately, this implicit bias can lead to less-than-optimal hiring practices and business, scientific, and technical decision-making. Come hear from four amazing women from the tech and engineering fields who will discuss real-world anecdotes and strategies for overcoming bias.

Session Chair:

Jorjeta Jetcheva

Assistant Professor, Computer Engineering,  San José State University

Session Summary:

Session Chair:

Fatemeh Davoudi

Assistant Professor, Aviation And Technology, San Jose Staté University

Session Summary:

The forefront of research for operations and manufacturing engineering and systems management has been the novel applications of predictive analytics. The ability to access, analyse, and manage big volumes of data with the support of robust information architecture to improve the performance of manufacturing organizations has generated enormous interest  and opportunities for predictive analytics among academia and industry. This session presents some main aspects regarding the applications of predictive analytics in manufacturing. In addition, the session includes presentations and discussion from three invited speakers with valuable experience in the field of artificial intelligence and predictive modelings in different aspects of manufacturing firms. 

Session Chair:

Maria Chierichetti 

Assistant Professor, Aerospace Engineering, San José State University 

Session Summary:

Advances in autonomous mobility: This session will cover current transformations in autonomous driving and urban air mobility. It will investigate how transportation is changing toward a more green, autonomous, safe system. We are assisting to a revolution of how we conceive land and air transportation, and how smart and sustainable approaches to these technological challenges can lead to better services for our communities. Speakers from Zoox, Joby Aviation, and Waymo will showcase how advancements in technology can lead to a smarter, safer and more sustainable world, where transportation of people is optimized.

Session Chair:

Magdalini Eirinaki

Professor and Associate Chair,  Computer Engineering, San José State University

Session Summary:

Do you have the entrepreneurship bug but don’t know where to start? Join us in this panel discussion with women leaders who will share their experiences and expertise on what it takes to start your own company.

Session Chair:

Younghee Park

Associate Professor, Computer Engineering, San José State University

Session Summary:

Machine learning (ML) has become a vital technology for cybersecurity to protect our assets from cyber threats. Through intelligent and automatic pattern analyses, ML-based security defense methods enable us to detect real-time cybercrime and attacks to bolster our infrastructure securely. In this session, with two industry speakers, we demonstrate the current security applications based on ML and then discuss current challenges and future directions for ML-based cybersecurity. 

Session Chair:

Wencen Wu

Assistant Professor, Computer Engineering Department, San José State University

Session Summary:

Robotics and Intelligent systems are revolutionizing a wide variety of industries. A large range of technologies such as machine learning, edge computing, and control and automation are used to help improve the efficiency, quality, and flexibility of the underlying systems. In this session, Ms. Lee from Microsoft will discuss intelligent digital technologies including intelligent edge & cloud, Ms. Kashikar from Arevo will introduce robotics and intelligent systems in manufacturing, and Ms. Tan from Agilent will share her experience about the challenges of taking up an internal start-up category in robotics and automation. 

Session Chair:

Dahyun Oh

Assistant Professor, Materials Engineering, San José State University

Session Summary:

COVID19 has changed our daily lives significantly. About 490,000 deaths were reported due to COVID19, close to 85% of the population of the least populous state in the United States. This session focuses on how engineers are helping the fight against the COVID. We invited three inspiring women engineers who immediately responded to this global pandemic by designing the most economical ventilators, unraveling transmission mechanisms, and developing a potential treatment method.

Session Chair:

Sheryl Ehrman

Don Beall Dean, Charles W. Davidson College of Engineering, San José State University

Session Summary:

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:

Birsen Sirkeci

Professor, Electrical Engineering,  San José State University

Session Chair:

Katy Kao

Session Chair:

Tina Panontin

Professor, San José State University

Session Chair:

Laura Sullivan Green  

Associate Professor, Civil & Environ Engineering, San José State University