Assistant Professor

Dr. Niladri Sett

Department of Computer Science and Engineering

Interests

  1. Data Mining
  2. Social Network Analysis
  3. Clinical Data Analytics

Education

2005

NIT Durgapur,
India
B.E.

2009

NIT Durgapur,
India
M. Tech

2017

IIT Guwahati
India
Ph.D.

Experience

  • September, 2020-November, 2020 | Assistant professor | IIIT Vadodara, Gandhinagar, India
  • October, 2017-August, 2020 | Post-doctoral Fellow | University College Dublin, Dublin, Ireland

Research Interest

  • Social Network Analysis – Link Prediction, Community Detection, Network Embedding, Application of Social Network Analysis in Computer Networks
  • Clinical Data Analytics – Digital Biomarker Discovery, EHR Data Analytics, Risk Prediction, Performance Prediction

Publications

JOURNALS
  • Alison Keogh, William Johnston, Mitchell Ashton, Niladri Sett, Ronan Mullan, Seamas Donnelly, Jonas F Dorn, Francesc Calvo, Brian MacNamee, Brian Caulfield, “It’s not as simple as just looking at one chart: A qualitative study exploring clinician’s opinions on various visualisation strategies to represent longitudinal actigraphy data”, Digital Biomarkers (Accepted)
  • Alison Keogh, Niladri Sett, Seamas Donnelly, Ronan Mullan, Diana Gheta, Martina Maher Donnelly, Vittorio Illiano, Francesc Calvo, Jonas F Dorn, Brian Mac Namee, Brian Caulfield, “A Thorough Examination of Morning Activity Patterns in Adults with Arthritis and Healthy Controls Using Actigraphy Data”, Digital Biomarkers, 4 (3), 78-88 (2020), Karger
  • Ciara Duignan, Patrick Slevin, Niladri Sett and Brian Caulfield, “Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study”, JMIR MHEALTH AND UHEALTH, 7 (6), e12190 (2019), JMIR Publications Inc.
  • Niladri Sett, Saptarshi Basu, Sukumar Nandi and Sanasam Ranbir Singh, “Temporal Link prediction in Multi-relational Network”, World Wide Web Journal, 21 (2), 395-419 (2018), Springer
  • Niladri Sett, Devesh, Sanasam Ranbir Singh and Sukumar Nandi, “Exploiting reciprocity toward link prediction”, Knowledge and Information Systems Journal, 55 (1), 1-13 (2018), Springer
  • Niladri Sett, Sanasam Ranbir Singh and Sukumar Nandi, “Influence of edge weight on node proximity based link prediction methods: an empirical analysis”, Neurocomputing, 172: 71-83 (2016), Elsevier
CONFERENCE PAPERS
  • Amrita Bose Paul, Akhil GV, Santosh Biswas, Sukumar Nandi, Niladri Sett, “SAS: Seasonality Aware Social-Based Forwarder Selection in Delay Tolerant Networks”, in I4CS 2020
  • Niladri Sett, Brian Mac Namee, Francesc Calvo, Brian Caulfield et. al., “Are you in pain? Predicting pain and stiffness from wearable sensor activity data”, in SGAI 2019
  • Subhrendu Chattopadhyay, Niladri sett, Sukumar Nandi and Sandip Chakraborty, “Flipper: fault-tolerant distributed network management and control”, in IFIP/IEEE IM 2017
  • Niladri Sett, Subhrendu Chattopadhyay, Sanasam Ranbir Singh and Sukumar Nandi, “A time aware method for predicting dull nodes and links in evolving networks for data cleaning”, in IEEE/WIC/ACM WI 2016
  • Akash Anil, Niladri Sett and Sanasam Ranbir Singh, “Modeling evolution of a social network using temporal graph kernels”, in ACM SIGIR 2014
  • Deepak Mangal, Niladri Sett, Sanasam Ranbir Singh and Sukumar Nandi, “Link prediction on evolving social network using spectral analysis”, in IEEE ANTS 2013

Contact Details

TOP