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:20260930T050910Z UID:8C8BF2A4-924E-4FDF-8B44-19B2070A1BA3 DTSTART;TZID=Asia/Kolkata:20270104T090000 DTEND;TZID=Asia/Kolkata:20270108T170000 DESCRIPTION:IEEE VNRVJIET Sensors Council\, IEEE VNRVJIET Student Branch in collaboration with IEEE Sensors Council Hyderabad Chapter\nIEEE Hyderabad Section and Department of Electronics and Communication Engineering\, VNR VJIET are jointly organizing a workshop on “AI-Enabled Smart Sensors an d Edge Intelligence: From Sensing to Intelligent Decision Making”\n\nDat e: 4–8 January 2027\nVenue: VNR Vignana Jyothi Institute of Engineering and Technology\, Hyderabad\n\nThe workshop will focus on emerging technolo gies in smart sensors\, Artificial Intelligence\, Edge Intelligence\, IoT\ , sensor data analytics\, sensor fusion\, and intelligent decision-making systems. The programme will bring together experts from academia and indus try to provide participants with insights into the latest developments\, a pplications\, and research opportunities in intelligent sensing technologi es.\n\nThe workshop is intended to provide a combination of expert lecture s\, interactive technical sessions\, demonstrations\, and hands-on learnin g\, enabling participants to understand the complete journey from sensing to intelligent decision making.\n\nAdvances in sensor technologies\, the I nternet of Things (IoT)\, artificial intelligence (AI)\, and edge computin g are quickly transforming traditional sensing systems into intelligent sy stems that can acquire\, process\, and interpret data near where it is gen erated. Over the years\, sensor-based applications have demanded that vari ous features be acquired\, transported\, and analyzed at different points. These features include real-time decision-making\, low latency\, energy e fficiency\, privacy\, reliability\, and operation under various resource c onstraints. These developments have created an urgent need to understand a nd integrate communication\, sensing\, embedded computing\, and AI at the edge\, leading to new courses and perspectives.\n\nAI-Enabled Smart Sensor s and Edge Intelligence: From Sensing to Intelligent Decision-Making is de signed to help sensor systems evolve from data acquisition to intelligent\ , autonomous decision-making. The program aims to provide an overview of t he complete pipeline of sensor technologies and sensor networks\, data pro cessing\, machine learning\, Edge AI\, and intelligent IoT applications. T he proposed seasonal school includes multiple subtopics\, including smart sensors and sensing systems\, sensor networks\, IoT architectures\, sensor data processing\, machine learning and deep learning for sensing applicat ions\, Edge AI\, TinyML\, resource-constrained computing\, embedded AI\, F PGA-based hardware acceleration\, energy-efficient edge intelligence\, and federated learning for distributed sensor systems. The program will inclu de industry seminars\, technical demonstrations\, real-world projects\, an d research-oriented interactive discussions for graduate students\, postgr aduate students\, PhD scholars\, university faculty members\, researchers\ , young professionals\, entrepreneurs\, and industry professionals. The sc hool will expose students and participants to present-day technology\, as well as research opportunities and challenges in intelligent sensing. The proposed theme aligns closely with the IEEE Sensors Council’s focus on s ensor technologies\, sensor networks\, and sensor systems\, and with emerg ing directions in intelligent and connected sensing. The Seasonal School's primary objective is to create opportunities to interface different disci plines\, improve problem formulation\, and develop strategies for advanced sensor-based edge artificial intelligence\, ultimately demonstrating engi neered\, intelligent\, data-driven sensor and IoT systems.\n\nBldg: K S Au ditorium \, VNR Vignana Jyothi Institute of Engineering and Technology\, H yderabad\, Telengana\, India LOCATION:Bldg: K S Auditorium \, VNR Vignana Jyothi Institute of Engineerin g and Technology\, Hyderabad\, Telengana\, India ORGANIZER:shabarinath_bb@vnrvjiet.in SEQUENCE:26 SUMMARY:AI-Enabled Smart Sensors and Edge Intelligence: From Sensing to Int elligent Decision Making URL;VALUE=URI:https://events.vtools.ieee.org/m/580939 X-ALT-DESC:Description: <br /><p class="isSelectedEnd">IEEE VNRVJIET Sensor s Council\, IEEE VNRVJIET Student Branch in collaboration with IEEE Sensor s Council Hyderabad Chapter<br>IEEE Hyderabad Section and Department of El ectronics and Communication Engineering\, VNR VJIET are jointly organizing a workshop on&nbsp\;&ldquo\;AI-Enabled Smart Sensors and Edge Intelligenc e: From Sensing to Intelligent Decision Making&rdquo\;</p>\n<p class="isSe lectedEnd">Date: 4&ndash\;8 January 2027<br>Venue: VNR Vignana Jyothi Inst itute of Engineering and Technology\, Hyderabad</p>\n<p class="isSelectedE nd">The workshop will focus on emerging technologies in smart sensors\, Ar tificial Intelligence\, Edge Intelligence\, IoT\, sensor data analytics\, sensor fusion\, and intelligent decision-making systems. The programme wil l bring together experts from academia and industry to provide participant s with insights into the latest developments\, applications\, and research opportunities in intelligent sensing technologies.</p>\n<p>The workshop i s intended to provide a combination of expert lectures\, interactive techn ical sessions\, demonstrations\, and hands-on learning\, enabling particip ants to understand the complete journey from sensing to intelligent decisi on making.</p>\n<p class="MsoNormal" style="margin-left: 20.9pt\; text-ali gn: justify\; line-height: 115%\;"><span lang="EN-US" style="font-family: 'Bookman Old Style'\, serif\; color: rgb(0\, 0\, 0)\;">Advances in sensor technologies\, the Internet of Things (IoT)\, artificial intelligence (AI) \, and edge computing are quickly transforming traditional sensing systems into intelligent systems that can acquire\, process\, and interpret data near where it is generated. Over the years\, sensor-based applications hav e demanded that various features be acquired\, transported\, and analyzed at different points. These features include real-time decision-making\, lo w latency\, energy efficiency\, privacy\, reliability\, and operation unde r various resource constraints. These developments have created an urgent need to understand and integrate communication\, sensing\, embedded comput ing\, and AI at the edge\, leading to new courses and perspectives.</span> </p>\n<p class="MsoNormal" style="margin-left: 20.9pt\; text-align: justif y\; line-height: 115%\;"><span lang="EN-US" style="font-family: 'Bookman O ld Style'\,serif\; color: red\;"><span style="color: rgb(0\, 0\, 0)\;">AI- Enabled Smart Sensors and Edge Intelligence: From Sensing to Intelligent D ecision-Making is designed to help sensor systems evolve from data acquisi tion to intelligent\, autonomous decision-making. The program aims to prov ide an overview of the complete pipeline of sensor technologies and sensor networks\, data processing\, machine learning\, Edge AI\, and intelligent IoT applications. The proposed seasonal school includes multiple subtopic s\, including smart sensors and sensing systems\, sensor networks\, IoT ar chitectures\, sensor data processing\, machine learning and deep learning for sensing applications\, Edge AI\, TinyML\, resource-constrained computi ng\, embedded AI\, FPGA-based hardware acceleration\, energy-efficient edg e intelligence\, and federated learning for distributed sensor systems. Th e program will include industry seminars\, technical demonstrations\, real -world projects\, and research-oriented interactive discussions for gradua te students\, postgraduate students\, PhD scholars\, university faculty me mbers\, researchers\, young professionals\, entrepreneurs\, and industry p rofessionals. The school will expose students and participants to present- day technology\, as well as research opportunities and challenges in intel ligent sensing. The proposed theme aligns closely with the IEEE Sensors Co uncil&rsquo\;s focus on sensor technologies\, sensor networks\, and sensor systems\, and with emerging directions in intelligent and connected sensi ng. The Seasonal School's primary objective is to create opportunities to interface different disciplines\, improve problem formulation\, and develo p strategies for advanced sensor-based edge artificial intelligence\, ulti mately demonstrating engineered\, intelligent\, data-driven sensor and IoT systems.</span></span></p> END:VEVENT END:VCALENDAR