BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260316T035013Z UID:C950CA9C-88D5-461C-9581-E94A46BE7828 DTSTART;TZID=America/Los_Angeles:20260304T190000 DTEND;TZID=America/Los_Angeles:20260304T200000 DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership requi red):\n\nSpeaker: Dr.K.Venkata Nagendra ([Connect on LinkedIn](https://www .google.com/url?q=http://www.linkedin.com/in/dr-nagendra-kv-a14056231&sa=D &source=calendar&ust=1771220244320268&usg=AOvVaw1DmULaeXumHuEXaNPagk5d))\n \nTitle: Emotional Intelligence in AI\n\nAbstract: AI emotional intelligen ce\, also known as emotion AI or affective computing\, is the ability of A I to detect\, interpret\, and simulate human emotions using through facial expressions\, body language\, voice tone and other cues. While AI can ana lyze emotional cues and even generate responses that seem empathetic\, it lacks true consciousness\, empathy\, and personal experience\, which are f undamental to genuine emotional intelligence. Instead of replacing human e motional intelligence\, AI serves as a tool that can enhance it by providi ng insights\, analyzing data at scale\, and creating more natural human-ma chine interactions. AI technology uses various methods to recognize and re spond to human emotions\, including: Facial Recognition Technology is used to analyze facial expressions and detect emotions such as happiness\, sad ness\, anger\, and fear. This technology uses algorithms to analyze facial features such as the shape of the mouth\, eyes\, and eyebrows. And anothe r one\, Voice Recognition Technology is used to analyze the tone and pitch of a person's voice to detect emotions such as happiness\, sadness\, and anger. This technology uses machine learning algorithms to analyze speech patterns and identify emotional cues. The Benefits of Emotional Intelligen ce in AI\, Creating More Meaningful Interactions between Humans and Machin es\, Enhanced education\, shaping the Future of AI.\n\nBio: Dr. Kolluru Ve nkata Nagendra\, graduated from Sri Venkateswara University in Tirupathi w ith a bachelor's degree in computer science. He later graduated from Jawah arlal Nehru Technological University in Hyderabad with a master's degree i n computer applications. After that\, he graduated from Acharya Nagarjuna University in Guntur with a Master of Technology in Computer Science and E ngineering. Additionally\, he graduated from Vikrama Simhapuri University in Nellore\, Andhra Pradesh\, with a Ph.D. in computer science. He graduat ed from Srinivasa University in Mangalore with a PDF (Post Doctoral Fellow ship) in CSE. In addition to writing numerous computer science textbooks\, Dr. Nagendra is the author of more than 70 research papers that have been published in journals with UGC and Scopus indexes. He served as a judge a nd reviewer for numerous conferences and journals. Having worked at severa l engineering colleges for more than 17 years\, he is currently employed S RKR Engineering College\, Bhimavaram\, Andhra Pradesh. His research intere sts encompass Machine Learning\, Deep Learning\, and Data Mining.\n\nSpeak er(s): Dr. K.Venkata Nagendra\n\nVirtual: https://events.vtools.ieee.org/m /538538 LOCATION:Virtual: https://events.vtools.ieee.org/m/538538 ORGANIZER:ruben.glatt@ieee.org SEQUENCE:17 SUMMARY:Tech Talk: Emotional Intelligence in AI URL;VALUE=URI:https://events.vtools.ieee.org/m/538538 X-ALT-DESC:Description: <br /><p>The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):</p>\n<p><strong>Speaker:</strong><strong>&nbsp\ ;</strong>Dr.K.Venkata Nagendra&nbsp\;(<a href="https://www.google.com/url ?q=http://www.linkedin.com/in/dr-nagendra-kv-a14056231&amp\;sa=D&amp\;sour ce=calendar&amp\;ust=1771220244320268&amp\;usg=AOvVaw1DmULaeXumHuEXaNPagk5 d" target="_blank" rel="noopener"><u>Connect on LinkedIn</u></a>)</p>\n<p> <strong>Title:&nbsp\;</strong>Emotional Intelligence in AI</p>\n<p><strong >Abstract:</strong>&nbsp\;AI emotional intelligence\, also known as emotio n AI or affective computing\, is the ability of AI to detect\, interpret\, and simulate human emotions using through facial expressions\, body langu age\, voice tone and other cues. While AI can analyze emotional cues and e ven generate responses that seem empathetic\, it lacks true consciousness\ , empathy\, and personal experience\, which are fundamental to genuine emo tional intelligence. Instead of replacing human emotional intelligence\, A I serves as a tool that can enhance it by providing insights\, analyzing d ata at scale\, and creating more natural human-machine interactions. AI te chnology uses various methods to recognize and respond to human emotions\, including: Facial Recognition Technology is used to analyze facial expres sions and detect emotions such as happiness\, sadness\, anger\, and fear. This technology uses algorithms to analyze facial features such as the sha pe of the mouth\, eyes\, and eyebrows. And another one\, Voice Recognition Technology is used to analyze the tone and pitch of a person's voice to d etect emotions such as happiness\, sadness\, and anger. This technology us es machine learning algorithms to analyze speech patterns and identify emo tional cues. The Benefits of Emotional Intelligence in AI\, Creating More Meaningful Interactions between Humans and Machines\, Enhanced education\, shaping the Future of AI.</p>\n<p><strong>Bio:</strong> Dr. Kolluru Venka ta Nagendra\, &nbsp\;graduated from Sri Venkateswara University in Tirupat hi with a bachelor's degree in computer science. He later graduated from J awaharlal Nehru Technological University in Hyderabad with a master's degr ee in computer applications. After that\, he graduated from Acharya Nagarj una University in Guntur with a Master of Technology in Computer Science a nd Engineering. Additionally\, he graduated from Vikrama Simhapuri Univers ity in Nellore\, Andhra Pradesh\, with a Ph.D. in computer science. He gra duated from Srinivasa University in Mangalore with a PDF (Post Doctoral Fe llowship) in CSE. In addition to writing numerous computer science textboo ks\, Dr. Nagendra is the author of more than 70 research papers that have been published in journals with UGC and Scopus indexes. He served as a jud ge and reviewer for numerous conferences and journals. Having worked at se veral engineering colleges for more than 17 years\, he is currently employ ed SRKR Engineering College\, Bhimavaram\, Andhra Pradesh. His research in terests encompass Machine Learning\, Deep Learning\, and Data Mining.</p> END:VEVENT END:VCALENDAR