Eman Mahmoodi

In the last 5 years I have mostly focussed on building innovative algorithms using my knowledge in machine learning, optimization algorithms, and realtime analysis for conversational AI technology at the Interactions. Previously in my PhD, I designed and implemented a “Cognition-based Cloud Offloader” prototype with the output of a book, a U.S. patent, a variety of technology demos in business, a book chapter, and several published research articles. • 10+ years experience in optimization algorithms and applied modeling, machine learning and deep neural networks, graph theory, statistical data analysis, natural language processing, and mobile computing (edge analysis and IoT applications), • Professional interests in the applications such as Health Care, Conversational AI, Augmented Reality, IoT, Automotive Industry, and Mobile Cloud Computing • Strong technical expertise on optimization techniques (heuristic, greedy, LP/MINLP, convex, Lyapunov, sub-gradient technique, and stochastic gradient descent), machine learning(supervised/unsupervised learning, reinforcement learning) , dynamic queuing, stochastic processes, resource management, and rapid prototyping of real-time systems • 5+ years working as AI Scientist in the Interactions • 2 internships working on learning algorithms • Deep Learning Frameworks: PyTorch, TensorFlow, Keras • Strong programming skills (Python, SQL, Java/Android, Matlab/Octave, C++) • Strong network skills: AWS/ Amazon EC2, ElasticSearch, OpenStack, and Linux • Conduct whole of a project cycle from developing ideas, applying theoretical modeling, and design of optimization algorithms to practical realization of solutions through rapid prototyping