Applied Research Solution Development Group (ARSD)

Applied Research Solution Development Group (ARSD) focuses on creating IP in the areas of Computation, Communication, Networking, and Information Processing Algorithms. The created IP is in the form of solutions, technical reports, published conference and journal papers, and patent specifications.

The research group offers two services:

• Collaborative research to undertake Co-authoring and co-publishing in computation and communication areas
• Collaborative solutions to undertake concept and algorithm research, and solution demonstration  

The main objectives of the group are:

(a) To carry out market led applied research leading to IP creation and development
(b) File patents, mostly in USPTO
(c) Help build showcase products based on research results 
(d) Present and publish papers in international conferences and refereed journals

ARSD has over hundred and eighty publications and over nineteen US patent specifications. In order to expand its reach of technology and expertise, the group collaborates with academic institutions and research laboratories, both within India and abroad (mostly in USA).  The group participates regularly in various technical conferences and seminars, and organizes invited lectures/seminars by experts from the various institutions.

ARSD’s Telecom focus is in the areas related to analysis and processing of telecom data. Current areas of research at ARG in the area of telecom analytics involve churn management, target marketing for up-selling and cross-selling, network fault detection and classification for further step of rectification, risk analytics, customer life time value.

Telecom Analytics

ARSD’s research in telecom analytics addresses the broad requirement of large data analysis for efficient mining of use information which has direct consequences on business decisions. Some of the important applications of large data analytics in telecom are:

• Subscriber Profiling
• A Rule-based Approach for Anomaly Detection in Subscriber Usage Pattern

• Churn Modeling
• A Fast Linear Separability Test by Projection of Positive Points on Subspaces

• Subscriber Fraud Detection
• A New Fuzzy Supervised Classification Method based on Aggregation Operator

• Product and Service Targeting
• Symbiotic Evolution Based Dynamic Clustering
• Power Quality Event Analysis using Wavelet Feature based Fuzzy Classification

Context Aware Computing

ARSD’s research in context aware computing addresses the issues in context aware service delivery. Exploiting the context information for targeted service delivery to the subscriber is both interesting and challenging problem. Following are some of the issues addressed in context aware computing:

• Context in enterprise collaborations
• Context Aware Collaboration in Enterprises
• Context Aware Retrieval in Web-Based Collaborations
• CART: An Information System for Context-Aware Information Access during Synchronous Web-based Collaborations

• Context aware content dissemination
• Context Aware Personalized Ad Insertion in an Interactive TV Environment
• Internet Based Multimodal Collaboration through Context-Aware Information Dissemination
• Mobility and Context Based Event Aggregation and Dissemination in Wireless Environment

• Context in contact centers
• Web-based Context Aware Information Retrieval in Contact Centers
• Hybrid Context Model based on Multilevel Situation Theory and Ontology for Contact Centers
• A Multicycle Context Model Using Oracles and Microsituations for Contact Centers

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