Recent Updates:

• Gave an invited talk on Graph Representation Learning in the Presence of Community Outliers in the Data Science Talk Series of Indian Institute of technology, Palakkad

• I have joined the Program Committee of AAAI 2022 and ICLR 2022.

• Out tutorial on Data Quality for Machine Learning Tasks has been accepted for presentation at KDD 2021

• One full research paper gets accepted at UAI 2021

• One full research paper gets accepted in PAKDD 2021

• Joined the program committee of ICML 2021

• One full research track paper gets accepted in AAAI 2021

• We will be conducting a workshop on Data Assessment and Readiness for Artificial Intelligence at PAKDD 2021

• We got two research papers accepted at IEEE BigData 2020

• I have completed my PhD in the department of Computer Science and Automation at Indian Institute of Science, Bangalore (Aug 2016 - June 2020)

• We have conducted a tutorial on Graph Representation Learning in the Presence of Community Outliers in ECAI 2020. Slides are available here to download.

• Joined the program committee of ICLR 2021

• Joined the program committee of AAAI 2021

• Served as a reviewer in journals like IEEE Transactions on Knowledge and Data Engineering and IEEE Access

• Gave an invited talk on Graph Representation Learning in the Presence of Outliers in the Utah Center of Data Science, at University of Utah

• Joined the program committee of NeurIPS 2020

• Joined the program committee of ECML-PKDD 2020

• Joined the program committee of ICML 2020

• Two full research papers get accepted in ECAI 2020

• One full research paper gets accepted in WSDM 2020

• Joined the program committee of AAAI 2020

I am Sambaran, currently working at IBM Research AI, Bangalore as an Advisory Research Engineer. The goal of my project is to analyse and assess the quality of unstructured and text datasets for AI applications. We are dealing with different aspects of data such as outlierness, representation learning of text, representation of text through graphs, detecting formality of text, etc. Previously, I have also worked on AI for industry solution department of IBM Research, where our focus was to build AI driven solutions for precision agriculture and smart grids.

I am particularly interested in Graph Representation Learning (GRL) and Graph Neural Networks (GNNs), and their applications to other domains of computer science such as text, software engineering and computational sustainability. In GRL, the goal is to learn a map which transforms the high dimensional and extremely sparse network (or graph) data (from social networks, citation networks, biological networks, etc.) to a lower dimensional vector space, which can help the downstream machine learning tasks (such as node classification, community detection, graph classification, etc.) to perform better. I focus on the role of random walk, optimization and deep learning on graphs. Most of my ongoing research involves developing novel graph neural network algorithms. I have published my research to top tier machine learning conferences such as AAAI, IJCAI, KDD, WSDM, ICAPS, ECAI etc. and also have around 8 patents filed. I have also been a member (by invitation) of the technical program committee of the top AI conferences such as NeurIPS, ICML, ICLR, AAAI, ECML-PKDD, etc.

Recently, I have completed PhD (August 2016 - June 2020) in the department of Computer Science and Automation at Indian Institute of Science, Bangalore under the guidance of Prof. M. Narasimha Murty. I am extremely lucky and thankful to both IBM Research and IISc, Bangalore to allow me to be a part of them at the same time. Before this, I have completed Master of Engineering from the same department of IISc, Bangalore. I have completed my Bachelors of Technology from Institute of Engineering and Management (IEM), Kolkata, while did the final year research project from Indian Institute of Technology (IIT), Kharagpur. I was born and brought up in a town named Chinsurah (or Chuchura), which is roughly 50km away from Kolkata, the city of joy, in West Bengal, India. I did my schooling from Hooghly Branch (Govt.) School, Hooghly.