{"id":173,"date":"2023-05-23T00:29:56","date_gmt":"2023-05-22T18:59:56","guid":{"rendered":"https:\/\/aiml.3it.in\/?page_id=173"},"modified":"2026-05-11T10:59:45","modified_gmt":"2026-05-11T05:29:45","slug":"keynote_details","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/keynote_details\/","title":{"rendered":"Keynote Speakers"},"content":{"rendered":"

[et_pb_section fb_built=”1″ disabled_on=”on|on|on” admin_label=”Features” module_id=”about” _builder_version=”4.25.1″ _module_preset=”default” background_color=”#dbdbdb” background_image=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg” background_blend=”overlay” custom_padding=”3.9%||||false|false” use_background_color_gradient_phone=”on” background_color_gradient_stops_phone=”#001528 0%|rgba(255, 255, 255, 0) 10%|rgba(255,255,255,0) 70%|#0f0122 100%” disabled=”on” collapsed=”on” global_colors_info=”{}”][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”-90px||||false|false” global_colors_info=”{}”][et_pb_fullwidth_code _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

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AIMLSYSTEMS 2026<\/div>\n

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Keynote Speakers<\/h1>\n

Insights from global visionaries at the forefront of AI and Systems Engineering<\/pee> <\/p>\n

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Dr. Rajeev Rastogi<\/h2>\n

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VP and Head of Research @ Amazon India<\/span><\/h3>\n

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Dr. Rajeev Rastogi is the Vice President of Machine Learning at Amazon India. He leads the development of advanced ML models and scalable AI systems that power Amazon’s e-commerce, supply chain, and digital ecosystems.<\/pee> With decades of experience spanning Bell Labs, Yahoo!, and Amazon, his keynote will bridge the critical gap between theoretical machine learning and massive-scale industrial system deployment.<\/pee> <\/div>\n

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<\/i> Keynote Title: To Be Announced<\/span><\/div>\n

The exact title and abstract of Dr. Rastogi’s keynote address will be updated here shortly. Expect a deep dive into real-world AI constraints, scalable architectures, and next-generation AIOps.<\/pee> <\/div>\n

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<\/i> Full Biography<\/a> <\/div>\n

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\"Prof. <\/p>\n
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Prof. Michele Magno<\/h2>\n

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Professor & Head of Edge AI and Sensing Lab @ ETH Zurich<\/span><\/h3>\n

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Michele Magno (Fellow Member, IEEE) is Professor and Head of the Project-Based Learning Center at ETH Zurich, where he also leads the Edge AI and Sensing Lab. In 2026, he will be Head of the Edge AI and Sensing Lab at the Italian Institute of Artificial Intelligence, conducting transformative, application-oriented research contributing to innovation and industrial transformation.<\/pee> His research focuses on wireless sensor networks, wearable systems, edge machine learning, smart sensing, and autonomous robots. With over 400 publications, he has established strong partnerships with industry leaders including IBM Research, Sony, STMicroelectronics, and Ferrari.<\/pee> <\/div>\n

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<\/i> Keynote Title: From Wearables to Robotics: Energy-Efficient Sensing and Edge AI for Real-World Intelligent Systems<\/span><\/div>\n

Recent advances in sensing technologies and edge artificial intelligence are enabling a new generation of intelligent systems capable of operating directly in the physical world with low latency, reduced energy consumption, and increased autonomy. This talk presents advances in sensing and edge AI technologies for intelligent embedded systems, ranging from wearable devices to autonomous robots, highlighting hardware-software co-design approaches that enable real-time AI directly on battery-operated platforms.<\/pee> <\/div>\n

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<\/i> Full Biography<\/a> <\/div>\n

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More Visionaries Announcing Soon<\/h3>\n

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Keynote Speaker 3<\/h4>\n

To Be Confirmed<\/pee> <\/div>\n

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