Research

Dr. Nagamani Molakatala is Faculty in the School of CIS, UoH.

Research interest in Speech and signal processing. IOT. Data science and software engineering. She was chair of international and
national conferences and reviewer of Speech Journal. She is also an associative coordinator for the PGDCIL course in distance education at UOH. 36 publications in national International conferences and Journals. Research interests are Pattern recognition and data science. Embedded system, IOT, and Signal processing and software engineering. Given invited lectures in various Engineering collage FDP. Session chain in National and Internation conferences and recent webinars during the pandemic period.

Data Engineering

Data engineering encompasses designing, developing, and managing the infrastructure and processes for collecting, storing, and preparing data for analysis. It involves creating pipelines, integrating diverse data sources, cleaning, transforming, and ensuring data quality, enabling effective data-driven decision-making and insights for organizations

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Signal Processing & Embedded System

Signal processing involves manipulating, analyzing, and interpreting signals (e.g., audio, video) to extract meaningful information. Embedded systems are specialized computing systems integrated into devices, performing dedicated functions. They combine hardware and software, often with real-time constraints, powering various applications from appliances to industrial machinery.

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Musicology, Natural Science through AI

Musicology is the study of music's cultural, historical, and theoretical aspects. Natural Science investigates the physical world's phenomena. AI integrates machine learning and data analysis to simulate human-like intelligence, enhancing fields like musicology by automating pattern recognition, composition, and analysis, deepening our understanding of music's scientific dimensions.

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