The Faculty of Mechanical Engineering has focused on cutting edge research programs encompassing the areas of Materials, Tribology, Thermal Engineering and Fluid Mechanics. For upgradation of knowledge, various labs have been established as per the University requirements. The areas of research are:

Design and Manufacturing

• Optimization of Cutting Parameters by Using Coated and Uncoated Tools
• Design and Development of Integrated Process Improvement Model for Automotive Components in Manufacturing Sector
• Understanding Cloud Computing & Its Applications in SMEs

Thermal

• Thermal Management of Electronics Using Heat Pipes
• Analyzing Heat Transfer of a 7.5W Led Load with Active and Passive Cooling For Constant Luminance Applications
• Rotor dynamic Coefficients’ Evaluation at Liquid Annular Seal in Centrifugal Pump
• Natural Convection in Differentially Heated Rotating Enclosure

Materials

• Study, Analysis and Optimize Integrated Reliability Model for Redundant Systems
• Examination of Tribological and Mechanical Properties of Al-Mg Cast Alloys
• Development and Characterization of Polymer Structures by Scan Based Microstereolithography

The Faculty of Civil Engineering is involved in research, development, consultancy activities, funded projects, expert services, paper publications, visiting & organizing National and International seminars, meetings, workshops, etc. The CAD lab of the department has been sufficiently equipped with latest hardware/software and hones the skills in recent versions of CYPE, STAAD-PRO,AUTOCAD, MAP3D, CIVIL3D, RASTERDESIGN, PRIMAVERA, MS Project, RIVET, GIS (open Source) and GPS Data Manager have been offered as value added programs in pursuit of making industry ready civil engineers.

• Study of Hydraulic Performance of Saving Devices for Commercial Water & Suggestions for Its Performance Improvement in Water Conservation
• Examination of Landscape Status and Hydrological Regime for Insights to Linkages in Varada and Sharavathi Catchments, Central Western Ghats, etc.
• Assessment of Environmental Flow in the Rivers Flowing at the Western Ghats
• Comparative Study of Rare Earth Elements Related to Stone Quarrying Activities and Hazardous Effects of These Elements on Environment in Ramanagara District
• Geo-spatial Modeling Techniques’ Applications with Storm Water Usage & Best Management Practices to Control Urban Flood of Bengaluru City

The Department of Electrical & Electronics Engineering has focused on cutting edge research programs encompassing the areas of Sustainable Energy Systems & Management, Electric Vehicular Technology, Electronic Design and Applications etc. For upgradation of knowledge, various labs have been established as per the University requirements. The detailed areas of research are:

The Department of Electrical and Electronics Engineering is actively involved in cutting edge research encompassing the thrust areas of Power System, Energy Management, High Voltage Engineering Renewable Energy System, VLSI, Embedded System and Artificial Neural Network. The research focus is on:

High Voltage Engineering

Development (Simulation & Experimental) Studies for Fast High Voltage Marx Generator

The Department of Electronics and Communication Engineering actively promotes research in the areas of Signal Processing, Radar, Nanoelectronics and Embedded systems. The department has the well-established infrastructure and tools that are necessary for its academic and research programs and has been recognized by ISRO to host the IRNSS receiving station on the campus. The areas of research are:

• VLSI Architecture for LTE Advanced Iterative Turbo Decoders for 4G Networks
• Design and Development of an Efficient Advanced Parallel ADC for High Computing Applications
• Nature Inspired Computation Based Floor Planning in VLSI
• Measurement of Total Electronic Content (TEC) in the Ionosphere Using Dual Frequency GPS Receivers
• Orbit Characterization Of Space-Borne Synthetic Aperture Radar Performance Using Ground Deployed Corner Reflectors
• Ultrasound Image Retrieval by Hierarchical Decomposing for Medical Image Application
• Improved Content Based Medical Image Retrieval Using FCM & Multiple Texture Features
• Modeling and Simulation of Human Cardiovascular System Using Neuro-Fuzzy-Genetic Engine
• Automatic Recognition and Analysis of Statistical Process Control Patterns Using Neural Network

Embedded Systems

• Design & Development of ASIC Chip for Real Time Power Monitoring for Mobile Towers
• Energy Audit Management on Demand Side
• Hybrid Energy Systems of Wind and Solar Power

The Department of Computer Science and Engineering creatively manage research and development activities that include the areas of Data Mining, Cloud Computing, Image Processing and Wireless Sensor Networks. The Department has also an edge towards knowledge generation by presenting/publishing papers in International journals/conferences through the work of faculty members and UG/PG students.

Cloud Computing

Resource Allocation in Cloud

Complexity of resource scheduling has increased as cloud computing is shifting from homogenous to heterogeneous nature, but still many aspects are unknown as it is in experimental stage.

The important aspects of Cloud Computing are:

• Load Balancing
• Image Processing
• Background Subtraction
• Moving Target Detection in Video Sequences
• Wireless Sensor Networks

The Department of Information Science Engineering provides broad based foundation in information technology for those who seek careers in IT industry. The department is actively involved in research areas encompassing recent trends in computer science and technology, big data analytics, data mining, image processing and fuzzy logic. The research focus is on:

Data Mining and Big Data

• Novel Approaches for Data Summarization of Large and Multidimensional Datasets

Image Processing

• Devanagari Script Recognition

Data Mining and Big Data

• Advances in Fuzzy Automata

Trust Areas of the Department:

Advanced Network

• Network Simulations
• Network Security
• Software Defined Network
• Intrusion & Anomaly Detection

Image Processing

• Disease Prediction and Analysis using Images
• Computer Vision
• Augmented Reality using Images
• Image to text classification and similarity identification

Artificial Intelligence

• Machine Learning
• Deep learning for text and image classification
• Machine learning for IDS
• Neural Networks for Health care

Internet of Things

• Cloud and Fog Computing for virtual memories
• IOT for unmanned Vehicles
• IOT For agriculture
• Smart City and Homes using Cloud, Edge and Fog Computing

The Department of Basic Sciences is at the forefront in laying the strong foundation and focuses on imparting quality education to meet the challenges of science and technology. The department creates a spark in every student so that they could be innovators or inventors of tomorrow. The research program focuses on the areas related to Mathematical Modeling, Operational Research, Statistical Analysis, Applications of Differential Equations (Mathematics), Medicinal Chemistry, Crystallographic studies, Synthesis of Heterocyclic Compounds and Synthesis of Nanomaterials and Its Applications, Docking Studies of Crystals (Chemistry), Polymer Metal Oxide Nanocomposites, Study of Multi-wavelength Variability of a Sample of AGN (Physics). The research focus is on:

• Vehicle Routing Problems via Fuzzy Genetic Approach
• Medicinal Chemistry Involving the Synthesis Of Novel Heterocyclic Compounds and Screening for Its Antibacterial Activity
• Modeling in Ecology and Epidemiology
• Docking Studies of Heterocyclic Compounds
• Evolutionary Algorithms for Solving Animal Feed Problems
• Preparation of Metal Oxide Nanoparticles and Its Application in Wastewater Treatment

• CNMS
• FCRC
• IIAEM