Narayanan C Krishnan

Assistant Professor

Department of Computer Science and Engineering

318, Indian Institute of Technology Ropar

Rupnagar, PB

India 140001

Phone: +91 (1881) 24-2273


Curriculum Vitae


I joined the Department of Computer Science and Engineering at IIT Ropar in fall 2013. Prior to that I was associated with the CASAS group at Washington State University, where I worked in the area of data mining applied to activity recognition and smart home technologies. I completed my PhD in 2010 under the supervision of Prof. Sethuraman Panchanathan from Arizona State Univerity. I like to work on some fundamental machine learning/data mining probelms that are inspired by application domains such as activity recognition, pervasive health care and recently from ICT4D.

- RECENT UPDATES -

Date   Update
June 18 Web-Induced Heterogeneous Transfer Learning with Sample Selection - paper acccepted to ECML-PKDD 2018. Congratulations Sanatan!
Spring 2018 I will be teaching CSL302 - Artificial Intelligence. Check the course website for details
Nov 17 Poverty prediction from satellite images through deep learning paper accepted to IAAI 2018. Congratulations Shailesh and Tushar!
Nov 17 Garbage in images (GINI) dataset released.
Nov 17 Congratulations Sanatan for getting a paper accepted to ACM-CODS-COMADS 2018 and a student abstract to AAAI 2018
Fall 2017 I will be teaching CSL603 - Machine Learning. Check the course webpage for details.
Apr 17 Congratulations Tushar Aggarwal! on being selected to particpate in the prestigious Heidelberg Laureate Forum
Mar 17 Grateful to NVIDIA for donating a TitanX Pascal card through the academic hardware grant request program.
Spring 2017 I will be teaching CSL302 - Artificial Intelligence. Check the course webpage for details.
Dec 16 Spot Garbage team wins the INAE Student Project of the year award for 2016. Congratulations Gaurav, Kaushal and Mohit!
Nov 16 Brain Segmentation paper accepted to ICVGIP 2016. Congratulations Apoorva and Gaurav!
Aug 16 Grateful to Microsoft for the unrestricted research grant.
Fall 2016 I will be teaching CSL603 - Machine Learning in Fall 2016. Check the course webpage for details.
June 16 Spot Garbage paper accepted to UbiComp 2016! Congratulations Gaurav, Kaushal and Mohit - an all undergraduate team!
June 16 Thanks ACM IARCS, IJCAI, and Microsoft for supporting Sanatan's travel to IJCAI 2016.
May 16 Grateful to NVIDIA for donating a TitanX card through the academic hardware grant request program.
Apr 16 Team KudaPehchano from IIT Ropar consisting of Gaurav, Kaushal, and Mohit are the 2016 Microsoft Imagine Cup National Champions in the World Citizenship category! Congratulations guys! and Good luck at the World Semifinals.
Apr 16 Sanatan's first paper accepted to IJCAI 2016!
May 16 DST-YSS project approved for conducting research in "Activity Learning in Smart Environments"
- Co-authored book on Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data was published by Wiley.

Prospective PhD and MS Research Students

I am looking for students technically strong in Mathematics and Computer Science interested in the data mining, machine learning, pervasive computing and related fields. Prospective students must also possess excellent programming and communication skills. Please contact me if you are one of them. I am also interested in industry/health care related problems that can be solved using data mining and machine learning techniques. Please do contact me if you have an interesting problem.

Summer Internship

Students technically strong in Mathematics and Computer Science with an aptitude for data mining, ubiquitous computing and related fields may apply through the INSA SRF program. I will not be taking students outside this program and will not be able to respond to your individual queries.