Analytics and Optimization, IBM Research - India       


 photo Ritwik Chaudhuri photo photo Manish Kataria photo Kushal Mukherjee photoRamasuri Narayanam photo Gyana R Parija photo Rakesh R Pimplikar photo Shrihari Vasudevan photo

Analytics and Optimization, IBM Research - India - Projects

Please contact Gyana Parija ( for more information on any of the following projects.


We define Cogniculture as the art, science, technology and business involved in the cultivation and breeding of cognitive agents (human and machines) living in a complex adaptive ecosystem and collaborating on human computation for producing essential ingredients (food, energy, safety etc) necessary for enhancing [humanity-centric] social goods while promoting sustenance, survival, and evolution (growth) of the agents’ lifecycle

Scientific study of Cogniculture can be called Cognicultural Science, as opposed to Cognitive Science which is defined as the interdisciplinary, scientific study of the mind and its processes.

As social machines begin to become all pervasive, it’s imperative that they need to acquire and exhibit the traits that vastly improve their acceptability and adaptability in humanity-centric complex adaptive eco-systems. Human computation is the key differentiator to not only improve the quotient of trust, reciprocity and likeability but also allay the fears and concerns associated with proliferation of cognitive systems. In this initiative, we aim to develop next-gen social machines to acquire necessary socio-cultural adapability skills to sustain (e.g. essential supplies self-sufficiency), survive (e.g. protect from environmental threats), and evolve (e.g. co-create far superior social welfare) in such a civilization. The innovations and development in this area entail cross discipline research including Sociology, Psychology, Cognitive Sciences, NeuroSciences, Physiology, etc.

Collaborative Decision Making

Keywords - public goods game, social networks, complex adaptive systems. 



Skill-centric representation of workforce

Keywords - skill-centric representation, skill adjacency, capacity planning, analytics and optimization

 Skill-centric representation of workforce


A Cognitive Decision Support System for Recruiters

Keywords - cognitive systems, machine learning, pareto filtering, recruitment, traits

Cognitive descision support system for recruiters

Portfolio Optimization in Large Organizations

Keywords - portfolio optimization, data mining, cross-selling, upselling, transaction data, financial analytics


Portfolio optimization


Deep Skill Incentivization Management

Keywords - Deep skill, allowance

Deep skill incentivization


Dynamic Skills Taxonomy Generation

Keywords - cognitive systems, taxonomy, unstructured text analytics, relationship extraction, employee skills, workforce solutions


Dynamic skills taxonomy


Cognitive Recruitment Advisor

Keywords - cognitive systems, efficient hiring, machine learning, unstructured text analytics

Cognitive recruitment advisor