Pramod Anantharam

I am a PhD student at the Kno.e.sis center, Wright State University, Dayton, OH.

I work in the area of semantic web under the guidance of Dr. Amit P. Sheth, who is the founder and director of Kno.e.sis center.

Currently I am working in the Semantic Sensor Web project under the guidance of my co-advisor Dr. T. K Prasad.

My particular interests include knowledge representation, knowledge extraction and discovery from heterogeneous sensory observations, exploiting complementary nature of social and sensor observations for reasoning under uncertainty in physical-cyber-social systems, and surprise modeling.

Contact Information:
email: pramod at knoesis dot org,
pramod dot atre at gmail dot com
Mailing Address:
Pramod Anantharam
Ohio Center of Excellence in Knowledge-Enabled Computing(Kno.e.sis)
Wright State University
3640 Colonel Glenn Hwy.
Dayton, Ohio 45435-0001

CV

Short Bio
I was born and brought up in Bangalore, which is called the Garden City, in India. I received my B.S degree from B.M.S College of Engineering, Bangalore. I worked in Hewlett-Packard, Bangalore, as a software engineer for two and a half years before I started my graduate studies at the Kno.e.sis center, Wright State University.

Specific Research Interest

Sensory streams in real world may include machine sensor and citizen sensor streams. Building graphical models from these streams to deal with uncertainty in a domain (e.g. sustainability, healthcare, system health monitoring) is my research focus. Particularly, I specialize in using background knowledge (e.g. ConceptNet5, Linked Open Data) for supporting such graphical models.

General Research Interests

The idea of infusing intelligence into objects around us fascinates me. Given these objects may have sensors and are connected to the web has profound implications on it's ability to integrate and process observations. It all started with my enthusiasm in building robots during my undergrad days where I played with sensors, actuators, and computational components.
I'm interested in exploring how humans combine background knowledge with sensory observations to act intelligently. Understanding interaction between high-level conceptual knowledge and low-level sensory knowledge will help us develop systems that are intelligent and adaptive.

Research Activities

PC member IJCAI 2013
External reviewer AAAI AIW 2013
External reviewer WWW2013
External reviewer HTS2013
External reviewer WWW2012
External reviewer EKAW2012
External reviewer ER2012
k-Health

kHealth is a knowledge-enabled semantic platform to enhance decision making and improve health, fitness, and well-being. It supports contextual (e.g., condition specific) annotation, integration, and interpretation of sensor and mobile data from individuals using deep domain (e.g., disease) specific knowledge base.

Semantic Sensor Web

This project uses Semantic Web representation and reasoning for processing observations from millions of sensors monitoring physical, physiological, and social observations.

Trust in Interpersonal, Social, and Sensor Networks

Trustworthiness is crucial in interpersonal, E-commerce, social, and sensor networks. In this project, we research on semantics of trust representation and inference.

Twitris

Twitris is a semantic social web application which performs event specific processing of twitter data using Semantic Web technologies

Conference and Workshop Papers

2013

2012

2011

2010

2009

Tutorial

2011

Posters and Demos

2010

2009

Research Prototypes

Building Robots (during my undergrad days)