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School of

Computer Science & Engineering

Research

System Engineering: The research group focuses on two broad areas:

  • Selection and development of efficient algorithms for scientific computing: Parallel Programming model, GPU Computing.
  • Affective Computing on parallel computing systems.

Data Engineering: Department of computer science has well established group working in Machine learning algorithms, 3D reconstructions and video processing for image and vision applications. Research in the area of frequent pattern mining and cloud is being carried out.

With this expertise we focus towards data analysis (modelling, predictive analysis, pattern recognition) to extract knowledge and insights for applications in the areas of innovative education Assessment (CEER) and smart city.

Network Engineering: The research group is currently focused towards optimization algorithms for routing, rate adaptation, energy optimization for multi hop access networks like sensor and mesh.

The group is also working in the latest areas like virtualization, cloud computing, software defined networks and Internet of Things.

 

System Engineering: The research group focuses on two broad areas:

  • Selection and development of efficient algorithms for scientific computing: Parallel Programming model, GPU Computing.
  • Affective Computing on parallel computing systems.

Data Engineering: Department of computer science has well established group working in machine learning algorithms, 3D reconstructions and video processing for image and vision applications. Research in the area of frequent pattern mining and cloud is being carried out.

With this expertise we focus towards data analysis (modelling, predictive analysis, pattern recognition) to extract knowledge and insights for applications in the areas of innovative education Assessment (CEER) and smart city.

Network Engineering: The research group is currently focused towards optimization algorithms for routing, rate adaptation, energy optimization for multi hop access networks like sensor and mesh.

The group is also working in the latest areas like virtualization, cloud computing, software defined networks and Internet of Things.

Sl.No. Research Area Research Field Research Topic Faculty
1 DATA SCIENCE AND ENGINEERING
1. Data Processing
2. Data Analytics
Multimodal Fusion and Indexing for English Language Lecture Videos Meena S. M.
P. S. Hiremath
Gopal Joshi
S.G.Totad
V.P.Baligar
Sujata C
G.S.Hanchinamani
Lalita Madanabhavi
Karibasappa K G
S G Kanakareddi
S. D. Desai
Shankar G
S V Seeri
Shantala Giraddi
P.D.Desai
Vijay Bajantri
Manjula Pawar
Praveenraj
Deepak kumar M.
Praveen M
Dhulavvagol
Uday Kulkarni
Parikshit P Hegde
P.D.Kalwad
Preeti T
Filtering and noise removal algorithms for crowd sourced images (heritage images)
Develop new metal artifact reduction method by addressing the effects of truncated projections, aiding better diagnostic inference
Augmentation of Data Mining algorithms for Distributed Computing
Analysis and Prediction of Psychological Health disorder/Issues using Emotional Profiling
Image Compression, Data compression & Video compression
Detection & Analysis of prominent objects in natural images.
2 NETWORKING 1. Wireless mesh networks
2. Wireless,sensor networks and Internet of Things
3. Hybrid,wireless networks,
4. Cloud,computing and virtualization
5. Software,defined networking
Cross-layer design for joint routing, scheduling and rate adaptation in multi-radio infrastructure wireless mesh networks. Meena S. M
P. R. Patil
Narayan D.G.
Jayalaxmi G N
Vidya Handur
Vijayalaxmi M
M.M.Raikar
A. K. Chikaraddi
Sunil Gurlahosur
Anand Meti
Pooja Shettar
Somashekar Patil
Ashok Chikaraddy
Nitya Kulkarni
Meenakshi Raikar
Amit Kachvimath
P.G. Sunitha Hiremath.
Quality enhancement of aggregation in wireless sensor networks.
IoT for precision agriculture.
Traffic-aware co-operative transmission for energy efficiency in hybrid wireless networks
SLA-aware resource management in cloud data center networks.
Anomaly detection in software defined networks using machine learning
algorithms.
03 SYSTEM ENGINEERING High Performance Computing, Parallel Computing, GPU/CUDA programming A framework for Power-Aware Scientific Application Development on Multi- core Processor Satyadhyan Chickerur
Namrata Hiremath
Indira Bidari
Mahalaxmi B
Mallikarjun Akki
Nagarathna D K
Mahaesh Patil
.
A modular parallel computing approach for application development on multicore and metacore architecture.
Scientific Applicationdevelopment on multicore / manycore architechture.

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