Alexei has broad experience in machine learning for speech and natural language processing systems. His current research interests include contextualized adaptive conversational machines; speech characterization technology; integration of para-linguistic knowledge into natural speech recognition and interpretation.

In 2011-12 he led a research group that won the Interspeech'2012 Para-linguistic Challenge in recognizing personality from speech. In 2013-15 he was involved in several projects concentrating on hardware acceleration. Specifically, that effort resulted in a 50+ times faster speech recognition decoding with SIMD devices. During his ETS time, he was in charge of construction of the on-line speech recognizer for interaction with remote non-native speakers of English. That system achieved parity with human transcription accuracy. Later at Knowles Alexei led the development of the extremely-small footprint (~3 Mb) HW accelerated unlimited vocabulary speech recognizer that consumes 75mW and achieves the state-of-the-art in transcription accuracy.