TCS Research and Innovation has eight Research Areas that have been identified as focus items.
- Embedded Systems and Robotics
- Cyber Physical Systems
- Software Systems
- Data and Decision Sciences
- Physical Sciences
- Life Sciences
- Behavioral Business and Social Sciences
- Cyber Security
Embedded Systems and Robotics
Applied Research in embedded technologies for building a perception, cognition, interaction and actuation layer for Physical and Human Systems. This will involve contributions to devices and systems involving sensors, algorithms, robotics and human machine interfaces in collaboration with Proof of Concepts and Programs dealing with real world problems in human life.
Targeted solution areas include:
- Affordable Healthcare, Wellness, screening and diagnostics with mobile, wearable and nearable sensing, worker health monitoring, geriatric care and tele-rehabilitation for stroke patients
- Management of resources including energy and water
- Usage of robots and drones in healthcare and industrial applications
Cyber Physical Systems
By definition, such a system integrates a computing and communication system in the cyber world with monitoring and control of entities in the physical world, safely, securely, and in real-time. Our current and near-term future focus for such systems is to research and apply its outcomes in the areas of Smart Water-Leak Detection and Management, Refrigeration Systems in Supermarkets, Smart Buildings covering operations such as HVAC Control and Optimization, Elevator Fault Diagnosis, Dynamic Microgrid Configurator, and Intelligent Transportation-Fleet Management.
Software Area will focus on the design, specification, analysis and simulation of complex system of systems. These systems could be as varied as those that model enterprise, materials or cyber physical systems. Our objective is to become a top class industrial R&D group that consistently delivers top quality scholastic publications, IP assets and demonstrated business impact potential.
Our expanded research scope now includes modeling and simulation of complex system of systems, AI and knowledge engineering, NLP and ML techniques to aid in authoring models as well as knowledge representations, and data driven and knowledge assisted human-in-the-loop support for design as well as decision making.
- Model-Driven Organization
- Complex dynamic decision making
- Regulatory compliance
- Information extraction in Bio Informatics
- Software Analytics
- Verification and Validation
- Integrated Computational Materials Engineering (ICME)
- Digital Enterprise
- Bridge Playing Robot
Data and Decision Sciences
The Data and Decision Sciences research area conducts cutting-edge applied research across all elements of cognitive intelligence with the goal of either greater automation leading to increased efficiencies, or amplifying human expertise for greater effectiveness in an increasingly competitive world.
Our research activities in the broad area of cognitive intelligence can be broadly classified into:
- Machine Perception and Understanding
- Predictive Modelling and Insight Discovery
- Intelligent Next-generation Data Management
This research area combines the areas of Material Design and Discovery and Advanced Information Systems. This Inter-Disciplinary Research group contributes to material sciences at every stage, from cradle to grave. It does this by actively experimenting, modelling on observations and then building on these models to simulate on various other possibilities. The areas which come under are:
- ICME & TCS Premap
- Molecular Modeling Research
- Advanced Materials
Genomics: Genome analysis, Development of pipeline for automated execution for exome and whole genome sequencing, Integration of tools to analyze variants to extract biological insights, applying signal processing methods such as compressed sensing to genomics, and Computational Biology. Genomics related work includes end-to-end analysis of multiple human genome samples to identify disease causing mutations using a variety of inheritance models, Genome annotation, Comparative genomics and Genome Assembly/Analysis.
Behavioral Business and Social Sciences
This research area is primarily centered around human-centric sciences that have an intersection between human behaviour vis-à-vis the sphere of interaction viz. work, health, business, society, entertainment etc. The research applicability could address areas of Well-being/Personalized Medicine, Learning/Social implications in a Digital Workplace, Social responsibility/Digital Citizen, Organizational behaviour/Culture Change, and Personalized Informatics
TCS Incubation identifies, nurtures and builds emerging businesses, leveraging new age technologies and business models.
TCS Entrepreneurship Junction (TÉJ) enables TCS customers, experts, entrepreneurs as well as our Co-Innovation Network (COIN) of startups and research partners to come together to rapidly convert innovative ideas into disruptive business offerings.
The passion of our bright innovators, deep knowledge of our industry and technology experts coupled with the proven rigor and scale of the Global Network Delivery Model (GNDM), enables TCS to rapidly solve problems and deliver unmatched value to customers.
TCS Incubation’s current focus areas include:
- Internet of Things and TCS Connected Universe Platform
- Operations Framework
- Energy Management
- Cognitive and others
TCS Research Brochure