BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241010T162624Z UID:363C82CD-1830-4BC3-9A5F-A44C4EE15BC2 DTSTART;TZID=Asia/Kolkata:20241001T110000 DTEND;TZID=Asia/Kolkata:20241001T120000 DESCRIPTION:šŸŒŸ Successful IEEE Day 2024 Webinar! šŸŒŸ\n\nWe are delighted to share that our webinar on "Computer-aided Detection of Epilepsy from E EG" with Dr. [Ram Bilas Pachori](https://www.linkedin.com/in/ram-bilas-pac hori-58a323aa/)\, Professor\, Electrical Engineering Department\, IIT Indo re\, was a great success! šŸŽ‰\n\nA big thank you to Dr. Pachori for deliv ering such an insightful session and to all the participants for making th is event truly special. The talk explored groundbreaking methods in epilep sy detection through EEG\, opening doors for future research and innovatio n. šŸ’”\n\nSpeaker(s): Ram Bilas Sir\n\nAgenda: \nExpert Lecture on "Compu ter-aided Detection of Epilepsy from EEG" by the esteemed Prof. [Ram Bilas Pachori](https://www.linkedin.com/in/ram-bilas-pachori-58a323aa/) from In dian Institute of Technology\, Indore.\n\nšŸ§  Epilepsy affects millions w orldwide\, and early\, accurate detection can make a life-changing differe nce. Prof. Pachori\, a leading expert in biomedical signal processing\, wi ll shed light on advanced techniques for identifying epilepsy through EEG using cutting-edge computer-aided systems. This session promises to be ins ightful for anyone interested in healthcare technology\, neuroscience\, an d artificial intelligence\n\nRoom: E-207\, Bldg: E - Block\, SR Institute of Management and Technology\, BKT\, Lucknow\, Uttar Pradesh\, India\, 226 201\, Virtual: https://events.vtools.ieee.org/m/436919 LOCATION:Room: E-207\, Bldg: E - Block\, SR Institute of Management and Tec hnology\, BKT\, Lucknow\, Uttar Pradesh\, India\, 226201\, Virtual: https: //events.vtools.ieee.org/m/436919 ORGANIZER:ajay262438@gmail.com SEQUENCE:30 SUMMARY:Webinar - IEEE Day 2024 Celebration URL;VALUE=URI:https://events.vtools.ieee.org/m/436919 X-ALT-DESC:Description: <br /><p>šŸŒŸ Successful IEEE Day 2024 Webinar! šŸŒŸ<br><br>We are delighted to share that our webinar on "Computer-aided Detection of Epilepsy from EEG" with Dr. <a id="ember1939" class="ember-vi ew" href="https://www.linkedin.com/in/ram-bilas-pachori-58a323aa/">Ram Bil as Pachori</a>\, Professor\, Electrical Engineering Department\, IIT Indor e\, was a great success! šŸŽ‰<br><br>A big thank you to Dr. Pachori for de livering such an insightful session and to all the participants for making this event truly special. The talk explored groundbreaking methods in epi lepsy detection through EEG\, opening doors for future research and innova tion. šŸ’”</p><br /><br />Agenda: <br /><p>&nbsp\;Expert Lecture on "Compu ter-aided Detection of Epilepsy from EEG" by the esteemed Prof. <a id="emb er2095" class="ember-view" href="https://www.linkedin.com/in/ram-bilas-pac hori-58a323aa/">Ram Bilas Pachori</a> from Indian Institute of Technology\ , Indore. <br><br>šŸ§  Epilepsy affects millions worldwide\, and early\, a ccurate detection can make a life-changing difference. Prof. Pachori\, a l eading expert in biomedical signal processing\, will shed light on advance d techniques for identifying epilepsy through EEG using cutting-edge compu ter-aided systems. This session promises to be insightful for anyone inter ested in healthcare technology\, neuroscience\, and artificial intelligenc e</p> END:VEVENT END:VCALENDAR