The use of IT technology has spread to a variety of industries, creating a borderless industry and a wide range of businesses. Furthermore, diverse work styles are required to balance work with childcare and nursing needs. To continue innovating, it is necessary to engage a diverse talent pool, including female workers. It is also important to develop training tailored to each individual’s strengths, and not to use a one-size-fits-all development model. Supervisors will need to consider how to train and provide growth opportunities for women in their teams. This session will present the careers of female researchers who support research contributing to the IoT field and provide an opportunity for everyone to discuss together. Join us to think about diversity and inclusion for tomorrow!
Prof. Mamiko Inamori
Mamiko Inamori was born in Kagoshima, Japan in 1982. She received her B.E., M.E. and Ph.D. degrees in electronics engineering from Keio University, Japan in 2005, 2007, and 2009, respectively. From 2009 to 2010, she was a Visiting Research Associate at Sony Computer Science Laboratories, Inc. In April 2010, she joined the Faculty of Science and Engineering at Keio University as an assistant professor. Since April 2013, she joined the Faculty of Engineering at Tokai University, where she is currently an associate professor. Her research interests are mainly concentrated on power and communication systems with digital signal processing. She is a senior member of the IEEE and a member of the IEICE Japan.
Prof. Takako Hashimoto, Vice President, Director of International Center, Chiba University of Commerce (Professor)
Talk Title: Future Talents in the STEM Field
Prof.Takako Hashimoto graduated from Ochanomizu University, and received a Ph.D. in computer science from the Graduate School of Systems and Information Engineering of University of Tsukuba in 2005. Worked for 24 years at the software R and D center of Ricoh Co. Ltd., Japan. While with the Company she spearheaded the development of many software products as a technical leader. Acquired an enormous project management experience including international collaborative research handling. From April of 2009, joined as an Associate Professor of the Chiba University of Commerce (CUC). And later became the Professor of CUC. In 2015, she was a visiting researcher at the University of California, Los Angeles. In 2016, a Director of Institute of Economic Research and Vice President of CUC in 2018. In 2019, she became a Director of International Center of CUC. Her research interests are data mining research and social media analysis, especially topic extraction from millions of tweets related to disasters such as the East Japan Great Earthquake. Conducted global researches on SDGs for achieving 100% renewable energy environment as well. Served as Publicity Chair of ICAST 2019, a bona fide member of the Technical Committee of ICAST2019, ICSC 2016-10, and other conferences. Presented technical papers at BigComp 2019, IEEE BigData 2017/2015/2021, and a lot more. In addition to these, gave talks at IoT Asia 2019, and different seminars, conferences and events. Currently she is serving as the IEEE Japan Council Chair and a member of Board of Governors of IEEE Computer Society. In the past, she was dedicated to the IEEE R10 ExCom Secretary (2019-20), the Educational Activities Board TAB representative (2020-2021), a member of Awards Board Presentations and Publicity Committee (2020-2021), the Membership Development Activities as IEEE MGA Membership Recruitment and Recovery Committee Chair (2017-18), IEEE Women in Engineering (WIE) Chair (2015-16), and IEEE R10 WIE Coordinator (2011-2014). And an recipient of the 2019 MGA Larry K. Wilson Transnational Award that is one of the most prestigious awards in IEEE MGA, IEEE Women in Engineering Outstanding Volunteer Award 2019, and IEEE Computer Society Golden Core Member Award 2021. She was also awarded the Information Processing Society of Japan Fellow 2019.
Prof. Qiaowei Yuan, Head of IoT technology research project, Tohoku institute of technology, Japan
Talk Title: Research Activities of Our IoT Project and My Research Carrier
Dr. Qiaowei Yuan received the BE, ME, and PhD from Xidian University, Xi’an, China, in 1986, 1989, and 1997, respectively. From 1990 to 1991, as a special research student she studied antenna engineering and numerical methods for electromagnetic wave analysis at Tohoku University, Sendai, Japan. From 1992 to 1995, with Sendai Research and Development Laboratory, Matsushita Communication Company, Ltd., from 1997 to 2002, with Sendai Research and Development Center, Oi Electric Company, Ltd., she was involved in the research and design of small antennas for second generation mobile phones and pager communications. From 2002 to 2007, she was a researcher with Intelligent Cosmos Research Institute, Sendai, Japan, involved in the research on adaptive array antennas and RF circuits for 4G mobile communication. From 2009 to 2020, she taught at National Institute of Technology, Sendai College, from 2020, she has been the full professor of Tohoku Institute of Technology, and from September 2021, she simultaneously has been the specially appointed professor in Tohoku university, Japan. Dr. Yuan’s most achievements are related with adaptive array antenna technologies, DOA estimation technologies and optimal design for transmitting/receiving elements for wireless power transfer (WPT) technology thanks to the good knowledge on numerical analysis approaches for electromagnetic wave and RF measurement techniques. She coauthored three books on antenna engineering and WPT technologies. Dr. Yuan received the Best Paper Award and Zenichi Kiyasu Award in 2009, from the Institute of Electronics, Information and Communication Engineers (IEICE) of Japan. She also received the Achievement Award from IEICE in 2014, two Achievement Awards from IEICE Technical Committee on Wireless Power Transfer in 2015, 2016, respectively, one Achievement Award from Technical Committee on Antenna Propagation Committee in 2020. Dr. Yuan severed as the secretary of IEICE Technical Committee on Wireless Power transfer of Japan from 2012 to 2014, the vice chair of IEEE Sendai WIE during 2017-2018 and the chair of IEEE Sendai WIE from 2019 to 2020. Now, she is serving as IEEE R10 WIE committee member, IEEE MTT-C25 member.
Prof. Carlee Joe-Wong, Carnegie Mellon University, USA
Talk Title: From Economics to Machine Learning: An Accidental Career in Computer Networking
Prof. Carlee Joe-Wong is the Robert E. Doherty Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. She received her A.B. degree (magna cum laude) in Mathematics, and M.A. and Ph.D. degrees in Applied and Computational Mathematics, from Princeton University in 2011, 2013, and 2016, respectively. Carlee’s research is in optimizing networked systems, particularly on applying machine learning and pricing to resource allocation in data and computing networks. From 2013 to 2014, she was the Director of Advanced Research at DataMi, a startup she co-founded from her Ph.D. research on mobile data pricing. Her research has received several awards, including the NSF CAREER Award in 2018.