BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Mountain BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20191103T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190502T182159Z UID:92619635-5189-4443-AAFF-B53B8752F8C7 DTSTART;TZID=US/Mountain:20190424T170000 DTEND;TZID=US/Mountain:20190424T190000 DESCRIPTION:IMPORTANT: AT THE REQUEST OF THE PRESENTER\, DR YANZHEN QU\, AN D THE WEATHER FORECAST TOMORROW (13 MAR 2018)\, THE EVENT WILL BE POSTPONE D TO EITHER LATE APRIL OR EARLY MAY. IF I CAN GET A VOLUNTEER FOR EITHER 2 4 OR 25 APRIL TO HELP HOST THE VENT. I WILL BE AWAY DURING THIS TIME. WE A POLOGIZE FOR THIS INCONVENIENCE.\n\nABSTRACT. The Internet of Things (IoT) has recently become a hot topic in both the commercial and academic world . The innovative new products\, services\, and opportunities createdby the extensive network of daily-use devices has attracted widespread attention and huge investment from all aspects of society. However\, IoT also prese nts new and unprecedented security and privacy challenges. The addition of a huge number "things" to the internet\, most of which have no physical f oundation to support even minimal security and privacy measures\, simply e xceeds the limits of our collective knowledge and experience in internet s ecurity and privacy. This talk will through some nontrivial IoT examples s uch as the vehicle network consisting of many driverless cars and trucks p resent insights into the key root causes of the security and privacy chall enges related to the implementation of IoT\, and will also discuss opportu nities which will facilitate the invention of appropriate technical soluti ons and regulatory frameworks to address those causes.\n\nBIOGRAPHY. Dr. Y anzhen Qu\, currently is the University Dean and Professor for the College of Computer Science and Technology at Colorado Technical University (CTU) .\n\nOver his 20+ year’s industrial professional career\, Dr. Qu has ser ved at various executive level of product R&D and IT management positions at several multinational corporations. He has led his multinational engine ering teams successfully developed several the world first very large real time commercial software systems and technologies. Since joining CTU in 2 008\, from 2012 to 2014\, Dr. Qu has led CTU student teams participated in the yearly “National Security Innovation Competition”. Three years in a roll\, the CTU student team has won the finalist among often over hundr ed of entrants. In 2013\, the CTU student team has also won the first plac e with 10K cash reward. In recent years\, he and his doctoral students hav e published several dozen scholarly papers\, some of them have won “the best paper award” at IEEE international conferences. The latest achievem ent is to bring BS of Computer Science degree program\, which is fully lev erage on the Cloud Computing and the innovative Adaptive Learning pedagogy and technology\, to the CTU’s Online Campus.\n\nCurrently\, Dr. Qu is a Senior Member of IEEE\, and a Fellow Member of IACSIT. Dr. Qu has often s erved as the general or program chair or been invited as a keynote speaker at many IEEE\, ASIS\, IFIP international conferences and workshops. He is also an editorial board member of several professional peer reviewed Comp uter Science or Information Technology journals. He has been invited as a visiting professor of over thirty international universities.\n\nDr. Qu’ s current research interests include internet of things\, cyber security\, artificial intelligence\, data mining\, machine learning\, e-learning tec hnologies\, software engineering\, cloud computing\, affective computing\, as well as big data analytics.\n\nCo-sponsored by: John Santiago\n\nAgend a: \n5:00 pm - 5-30pm\, Networking\n\n5:30 pm - 6:30 pm\, Presentation\n\n 6:30 pm – 7:00 pm\, Networking\n\nVariety of pizza and softdrinks provid ed at no charge.\n\nOld Chicago\, 4110 N Academy Blvd\, (Austin Bluffs and Academy)\, Colorado Springs\, Colorado\, United States LOCATION:Old Chicago\, 4110 N Academy Blvd\, (Austin Bluffs and Academy)\, Colorado Springs\, Colorado\, United States ORGANIZER:John.Santiago@ieee.org SEQUENCE:18 SUMMARY:Case Studies on Challenges and Opportunities in Internet-of-Things Security and Privacy (Applications to Driverless Cars) URL;VALUE=URI:https://events.vtools.ieee.org/m/193376 X-ALT-DESC:Description: <br /><p><strong>IMPORTANT:&nbsp\; AT THE REQUEST O F THE PRESENTER\, DR YANZHEN QU\, AND THE WEATHER FORECAST TOMORROW (13 MA R 2018)\, THE EVENT WILL BE POSTPONED TO EITHER LATE APRIL OR EARLY MAY.&n bsp\;&nbsp\; IF I CAN GET A VOLUNTEER FOR EITHER 24 OR 25 APRIL TO HELP HO ST THE VENT.&nbsp\; I WILL BE AWAY DURING THIS TIME.&nbsp\; WE APOLOGIZE F OR THIS INCONVENIENCE.</strong></p>\n<p>&nbsp\;</p>\n<p><strong>ABSTRACT.& nbsp\; </strong>The Internet of Things (IoT) has recently become a hot top ic in both the commercial and academic world. &nbsp\;The innovative new pr oducts\, services\, and opportunities createdby the extensive network of d aily-use devices has attracted widespread attention and huge investment fr om all aspects of society. However\, IoT also presents new and unprecedent ed security and privacy challenges. The addition of a huge number "things" to the internet\, most of which have no physical foundation to support ev en minimal security and privacy measures\, simply exceeds the limits of ou r collective knowledge and experience in internet security and privacy. Th is talk will through some nontrivial IoT examples such as the vehicle netw ork consisting of many driverless cars and trucks present insights into th e key root causes of the security and privacy challenges related to the im plementation of IoT\, and will also discuss opportunities which will facil itate the invention of appropriate technical solutions and regulatory fram eworks to address those causes.</p>\n<p><strong>BIOGRAPHY</strong><strong> .&nbsp\; </strong>Dr. Yanzhen Qu\, currently is the University Dean and Pr ofessor for the College of Computer Science and Technology at Colorado Tec hnical University (CTU).</p>\n<p>Over his 20+ year&rsquo\;s industrial pro fessional career\, Dr. Qu has served at various executive level of product R&amp\;D and IT management positions at several multinational corporation s. He has led his multinational engineering teams successfully developed s everal the world first very large real time commercial software systems an d technologies. &nbsp\;Since joining CTU in 2008\, from 2012 to 2014\, Dr. Qu has led CTU student teams participated in the yearly &ldquo\;National Security Innovation Competition&rdquo\;. Three years in a roll\, the CTU s tudent team has won the finalist among often over hundred of entrants. In 2013\, the CTU student team has also won the first place with 10K cash rew ard. In recent years\, he and his doctoral students have published several dozen scholarly papers\, some of them have won &ldquo\;the best paper awa rd&rdquo\; at IEEE international conferences. The latest achievement is to bring BS of Computer Science degree program\, which is fully leverage on the Cloud Computing and the innovative Adaptive Learning pedagogy and tech nology\, to the CTU&rsquo\;s Online Campus.</p>\n<p>Currently\, Dr. Qu is a Senior Member of IEEE\, and a Fellow Member of IACSIT. Dr. Qu has often served as the general or program chair or been invited as a keynote speake r at many IEEE\, ASIS\, IFIP international conferences and workshops. He i s also an editorial board member of several professional peer reviewed Com puter Science or Information Technology journals. He has been invited as a visiting professor of over thirty international universities.</p>\n<p>Dr. Qu&rsquo\;s current research interests include internet of things\, cyber security\, artificial intelligence\, data mining\, machine learning\, e-l earning technologies\, software engineering\, cloud computing\, affective computing\, as well as big data analytics.</p><br /><br />Agenda: <br /><p >5:00 pm - 5-30pm\, Networking</p>\n<p>5:30 pm - 6:30 pm\,&nbsp\; Presenta tion</p>\n<p>6:30 pm &ndash\; 7:00 pm\,&nbsp\; Networking</p>\n<p>Variety of pizza and softdrinks provided at no charge.</p> END:VEVENT END:VCALENDAR