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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Shanghai
BEGIN:STANDARD
DTSTART:19910915T010000
TZOFFSETFROM:+0900
TZOFFSETTO:+0800
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BEGIN:VEVENT
DTSTAMP:20200315T070516Z
UID:142A7FD6-D6D1-416B-B14F-18A35DCAC388
DTSTART;TZID=Asia/Shanghai:20181219T100000
DTEND;TZID=Asia/Shanghai:20181219T110000
DESCRIPTION:Title: Connected and Automated Vehicles: New Advances for Energ
 y Efficiency and Driving\n\nAbstract: The efficient use of The recent adva
 nces on vehicle onboard computation and communication technologies have le
 d the ground transportation into a new era. In particular\, the smart mobi
 lity technologies such as connected vehicles and automated driving have of
 fered an unprecedented information richness and new degrees of freedom\, w
 hich if utilized intelligently may enable substantial improvements on vehi
 cle operational energy efficiency and driving safety that are of societal 
 importance. Personalized vehicle system controls that can explicitly take 
 into account individual drivers driving characteristics\, capability\, and
  riding preference become feasible and necessary to significantly further 
 improve vehicle operational energy efficiency and driving safety. This tal
 k introduces some recent work on personalized vehicle power train and moti
 on control systems for connected and automated vehicle applications. Along
  with the system analytical designs\, experimental and simulation results 
 will be given to demonstrate the importance and efficacy of the personaliz
 ed vehicle control for energy efficiency and driving safety enhancements.\
 n\nBiography: Junmin Wang received the B.E. in Automotive Engineering and 
 his first M.S. in Power Machinery and Engineering from Tsinghua University
 \, Beijing\, China in 1997 and 2000\, respectively\, and the Ph.D. degree 
 in Mechanical Engineering from the University of Texas at Austin in 2007. 
 Dr. Wang is the Accenture Endowed Professor at University of Texas at Aust
 in. In 2008\, he started his academic career at Ohio State University\, wh
 ere he founded the Vehicle Systems and Control Laboratory\, was early prom
 oted to Associate Professor in September 2013 and then very early promoted
  to Full Professor in June 2016. He also gained five years of full-time in
 dustrial research experience at Southwest Research Institute (San Antonio 
 Texas) from 2003 to 2008. Prof. Wang has a wide range of research interest
 s covering control\, modeling\, estimation\, optimization\, and diagnosis 
 of dynamical systems\, especially for automotive\, smart and sustainable m
 obility\, human-machine\, and cyber-physical system applications. Dr. Wang
  is the author or co-author of more than 280 peer-reviewed publications in
 cluding 144 journal articles and 14 patents. Prof. Wang is a recipient of 
 numerous international and national honors and awards including 2018 IEEE 
 Andrew P. Sage Best Transactions Paper Award and 2017 IEEE Transactions on
  Fuzzy Systems Outstanding Paper Award. He is an IEEE Vehicular Technology
  Society Distinguished Lecturer\,SAE Fellow\, and ASME Fellow as well as a
  Chang Jiang Scholar Visiting Chair Professor.\n\nSpeaker(s): Junmin Wang\
 , \n\nRoom: Room 1319\, Bldg: Building A1\, CNV \, 9 Mozhou East Road\, Ji
 angning District \, Nanjing\, Jiangsu\, China
LOCATION:Room: Room 1319\, Bldg: Building A1\, CNV \, 9 Mozhou East Road\, 
 Jiangning District \, Nanjing\, Jiangsu\, China
ORGANIZER:junzheng@seu.edu.cn
SEQUENCE:1
SUMMARY:IEEE VTS Nanjing Chapter Distinguished Lecturer (DL) Talk by Prof. 
 Junmin Wang
URL;VALUE=URI:https://events.vtools.ieee.org/m/219666
X-ALT-DESC:Description: <br /><p><strong>Title:&nbsp\;</strong>Connected an
 d Automated Vehicles: New Advances for Energy Efficiency and Driving</p>\n
 <p><strong>Abstract</strong>: The efficient use of The recent advances on 
 vehicle onboard computation and communication technologies have led the gr
 ound transportation into a new era. In particular\, the smart mobility tec
 hnologies such as connected vehicles and automated driving have offered an
  unprecedented information richness and new degrees of freedom\, which if 
 utilized intelligently may enable substantial improvements on vehicle oper
 ational energy efficiency and driving safety that are of societal importan
 ce. Personalized vehicle system controls that can explicitly take into acc
 ount individual drivers driving characteristics\, capability\, and riding 
 preference become feasible and necessary to significantly further improve 
 vehicle operational energy efficiency and driving safety. This talk introd
 uces some recent work on personalized vehicle power train and motion contr
 ol systems for connected and automated vehicle applications. Along with th
 e system analytical designs\, experimental and simulation results will be 
 given to demonstrate the importance and efficacy of the personalized vehic
 le control for energy efficiency and driving safety enhancements.</p>\n<p>
 <strong>Biography</strong>: Junmin Wang received the B.E. in Automotive En
 gineering and&nbsp\;his first M.S. in Power Machinery and Engineering from
  Tsinghua University\, Beijing\, China in 1997 and 2000\, respectively\, a
 nd the Ph.D. degree in Mechanical Engineering from the University of Texas
  at Austin in 2007.&nbsp\;Dr. Wang is the Accenture Endowed Professor at U
 niversity of Texas at Austin. In 2008\, he started his academic career at 
 Ohio State University\, where he founded the Vehicle Systems and Control L
 aboratory\, was early promoted to Associate Professor in September 2013 an
 d then very early promoted to Full Professor in June 2016. He also gained 
 five years of full-time industrial research experience at Southwest Resear
 ch Institute (San Antonio Texas) from 2003 to 2008. Prof. Wang has a wide 
 range of research interests covering control\, modeling\, estimation\, opt
 imization\, and diagnosis of dynamical systems\, especially for automotive
 \, smart and sustainable mobility\, human-machine\, and cyber-physical sys
 tem applications.&nbsp\;Dr. Wang&nbsp\;is the author or co-author of more 
 than 280 peer-reviewed publications including 144 journal articles and 14 
 patents.&nbsp\;Prof. Wang is a recipient of numerous international and nat
 ional honors and awards including 2018&nbsp\;IEEE Andrew P. Sage Best Tran
 sactions Paper Award and 2017 IEEE Transactions on Fuzzy Systems Outstandi
 ng Paper Award. He is an IEEE Vehicular Technology Society Distinguished L
 ecturer\,SAE Fellow\, and ASME Fellow as well as a Chang Jiang Scholar Vis
 iting Chair Professor.</p>
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