Abhishek Shivayya

Cobble Detection in Tandem hot Rolling mills with Anomaly approach using Neural Networks. 1. Multivariate Time series and Sensor Data Analysis 2. Understanding the process of rolling in hot Tandem mills for application development. 3. Unsupervised DL Classification of sensor data by feature engineering and sliding window method to input CNN and LSTM- Autoencoder Networks. 4. Fault Diagnosis, Predictive maintenance by forecasting future sensor values to prevent cobble generation in an earlier stage.

1. Data exploration Analysis and pre-processing of time series data. 2. Working on Image processing, prediction models, cluster algorithms, optimizing problems, Anomaly, and outlier Detection. 3. Implementing and evaluating algorithms that work with massive real-time series data in production

1.Design and implementation of classification Algorithms. 2.Lidar point cloud pre-processing and synthetic data generation using Autoencoders and GAN's. 3.Training, transfer learning and evaluation of pre trained models.

Technische Angebote und Produkt kalkulation Verfolgen von wettbewerbsfähigen Preisen, Analyse von Trends, Identifizierung von Chancen und strategische Preisempfehlungen Überwachung des internen Produkt codes des Teils Analyse von der Stückliste und Maximierung von dem Gewinn mit den ambesten geeigneten Ersatzteilen Durchführung einer proaktiven Datenanalyse und Identifizierung von Preisverbesserungsmöglichkeiten Beschaffung, Marktpositionierung, Supply Chain Management

Embedded Computing Signal Processing System on Chip (VHDL) Computer Vision System Analysis and Simulation using LabVIEW Hardware and Software Design in SystemC Wireless Communications Near Field Communications

Analog Circuits , Network Analysis, Linear Integrated Circuits ,Field Theory, Micro-controller ,Microprocessor, Antenna and Propagation, Signals and Systems, Digital Signal Processing , Verilog HDL, Embedded Systems , Operating Systems, Real time Operating Systems, Power Electronics, VLSI