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

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.

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.

Dr. Nagamani Molakatala present a Senior Assistant professor in the School of Computer and Information Sciences, University of Hyderabad. She obtained her Ph.D. in Computer Science from UOH. Post graduation from JNTUH MasabTank in CS and undergraduate from JNTU Anatanpuram in Electronics and Communication Engineering. Twenty-four years of work experience in both Industrial and Academics. Worked in Police communication in combined Andra Pradesh. She is an IEEE member and Microsoft Certified Profession 2001.