Top AI Researchers

I am a PhD scholar at IIIT-Delhi and have been working in the area of machine learning. My research focuses on developing efficient learning algorithms for intrusion-less segregation of appliance-level energy consumption using smart-meter measurements(total energy consumption). The motive is to propose learning algorithms to improve upon the existing benchmarks in terms of accuracy. Additionally, this work finds applications in load forecasting, image classification, recommender systems, and stock-price forecasting.

Specializes in the research, development, and deployment of Machine Learning models and AI applications. Strong passion for understanding and solving non trivial problems using ML and traditional data science techniques.

I am a PhD student in Electrical Engineering, member of the Signal Analysis and Interpretation Laboratory at the University of Southern California, advised by Professor Shrikanth Narayanan. My main research interests include Speaker Diarization and Role Recognition, Speech Signal Processing, and Machine Learning.

Machine learning researcher with specialization in computer vision and deep generative models. Staff Research Scientist at InnoPeak Technology. Ph.D. in Statistics from the University of California, Los Angeles where I studied under the supervision of Dr. Song-Chun Zhu in the Center for Vision, Cognition, Language, and Autonomy.

My research focuses on data-intensive problems, ranging from the mathematical theory to implementation. Such approaches include the following buzzwords: machine learning, deep learning, neural networks, big data, statistical analysis, GPUs, numerical optimization, continuous normalizing flows, optimal control. my webpage: https://derekonken.com

Experienced Researcher in Machine learning, Deep learning, Computer vision and time series analysis.

I received my PhD from the University of Massachusetts, College of Information and Computing Sciences working in Don Towsley's lab in August 2020. My research focus is on deep learning methods for graph signal processing. I have research experience at several companies and labs including Technicolor, PNNL, and Stream Dx. -10+ Years experience with deep learning and Graph Neural Networks -10+ Years experience with Python/Scikit-Learn -8+ Years experience with PyTorch

3+1 BS/MS BAIR. Google Research and Machine Intelligence Primary focus in Computer Vision, Machine Learning, and Applied Statistics. Unsupervised and self-supervised