Информация о жилом, учебном и спортивном комплексах, медцентре, питании и досуге на территории города и Университета Иннополис. Ответы на часто задаваемые вопросы
Информация об образовательной деятельности, приёмной кампании, структуре и органах управления университетом, финансово-хозяйственной деятельности
Специализируется на образовании, исследованиях и разработках в области информационных технологий и робототехники
Образовательные программы для бизнеса по темам ИТ, цифровой трансформации, управления продуктами и инновациями. Ускоренная подготовка ИТ-специалистов
Программы обучения разработаны совместно с мировыми экспертами в сфере информатики, робототехники и программной инженерии с опытом работы в топ-100 вузов мира в партнерстве с компаниями IT‑индустрии
Сведения о научных разработках и инновационных проектах, осуществляемых учеными Университета Иннополис
В Университете Иннополис действуют 17 лабораторий и 9 научных центров, в которых ведется исследовательская работа в области искусственного интеллекта, робототехники, big data, разработки ПО, информационной безопасности
Исследуем и проектируем новые технологические решения совместно с ведущими ИТ-компаниями России, вендорами и 297 ведущих ИТ-компаний в партнерстве.
активно взаимодействует с партнерами по всему миру
PhD , Kyung Hee University, South Korea, Full Professor, Insitute of Data Science and Artificial intelligence, Head, Lab of Machine Learning and Knowledge Representation
Education:
Computer Engineering
Adil Mehmood Khan is a Professor of Machine Learning and the Director of the Machine Learning and Knowledge Representation Lab. Possessing a solid foundation in Machine Learning, Deep Learning, and Representation Learning, he is devoted to both education and research within the artificial intelligence domain. Adil's research journey started in 2006 in South Korea, where he concentrated on human activity recognition through wearable sensors. His groundbreaking discoveries were published in reputable journals and employed by leading technology firms for their health applications. Over his career, Adil has undertaken more than ten research projects, obtaining substantial funding, and has published in excess of 80 research papers. He has mentored four Ph.D. and over 20 MS students to completion and maintains active research collaborations with numerous international universities. As an educator, Adil has instructed a diverse array of computer science courses at both undergraduate and graduate levels. Acknowledged for his exceptional teaching abilities, Adil has been awarded the Best Teacher Award twice. Adil has also contributed as an academic consultant, creating and delivering specialized graduate online machine learning courses for various universities throughout the globe. His courses have consistently garnered praise from students and colleagues alike. As Associate Dean of Education and the Director of the Institute of Data Science & Artificial Intelligence at Innopolis University, Adil has overseen multiple facets of the educational process, such as admissions, curriculum design, course execution, and student internships. Moreover, as the Institute's Director, he has lead a team of faculty and staff, managed research budgets, and collaborated with various committees to guarantee top-notch education and research opportunities for students.