I am a machine learning engineer based in Michigan, USA. I received my Ph.D. degree in computer science from Western Michigan University.
With a background in the Internet of Things and Machine Learning, I am always passionate to combine the power of machine learning to the Internet of Things to make a positive impact on our lives and communities. I’ve contributed to this area in my research works and followed my professional career in the same direction. During my doctoral studies, I focused on the development of advanced machine learning techniques for the Internet of Things. My survey and tutorial research works on IoT and Deep Learning has attracted the attention of researchers and students worldwide. I am the recipient of the best survey paper award 2018 for "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications", IEEE Communications Surveys & Tutorials journal. I’ve run several workshops on topics like Developing IoT applications, Deep learning, and Reinforcement learning.
I have more than 10 years of software engineering experience. During these years I have worked and gained experience with a wide range of technologies including web development, .Net framework, big data platforms (Apache Hadoop, Spark), cloud computing, and hybrid mobile app development.