About Me

I am an Assistant Professor at the School of Computer Science, University of Birmingham and a visiting researcher at the Mobile Systems Research Lab at the Department of Computer Science and Technology, University of Cambridge.

My interest is to learn sensing data recorded in phones and wearables. In particular, building systems to collaboratively learn in a resource efficient and privacy preserving way using Federated Learning and fully distributed Gossip Learning. I’m interested in various types of applications: graph analysis, mobile-health, and mobility.

Recent Research News:

  • Nov-2023: A digest paper accepted Royal Society Open Science on mobile health sensing link
  • Oct-2023: Named as the Spotlight Researcher by the Cambridge Public Health link
  • Jun-2023: Workshop paper from Evelyn (MPhill at U. Cambridge) is accepted at FL4Data-Mining workshop in KDD-2023.
  • May-2023: Our conference paper on distributed spatial data management is accepted in EDBT-2024.
  • Apr-2023: Our conference paper on Gossip Learning is accepted in IJCAI-2023 paper
  • Apr-2023: Our journal paper on Early detection of Alzheimer’s Disease has won the best publication of the year (2022) award from the Department of Computer Science and Technology, University of Cambridge link.
  • Mar-2022: I have organized a workshop on Using Mobiles and Wearables for Public Health in association with Cambridge Public Health and Precision Health Initiative.
  • Distributed Machine Learning
  • Mobility Analysis
  • Mobile Health
  • Software Engineering
  • PhD in Computer Science, 2019

    University of Edinburgh

  • M.Tech in Computer Science, 2011

    Indian Institute of Technology, Bombay

  • Bachelor in Information Technology, 2009

    Jadavpur University, India


University of Birmingham
Assistant Professor
May 2023 – Present Birmingham, UK
University of Cambridge
Senior Research Associate
Sep 2020 – May 2023 Cambridge, UK
  • Project: Early diagnosis of Alzheimer’s Disease using sensing data from mobile phones.
  • I was fortunate to be part of Mobile Systems Research Lab at the Department of Computer Science and Technology, University of Cambridge under Prof. Cecilia Mascolo
Imperial College London
Research Associate
Imperial College London
Sep 2019 – Sep 2020 London, UK
  • Project: Spatial data management systems using Machine Learning
  • I was fortunate to be at the SCALE lab in the Department of Computing, Imperial College London under Dr Thomas Heinis
Intel Inc.
Senior Software Developement Engineer
Intel Inc.
Aug 2011 – Aug 2015 Bangalore, India
  • Delivered Bluetooth protocol stack for Intel Android tablet platforms
  • Led Intel’s first Bluetooth Low Energy protocol stack from ideation to productization
  • Represented Intel in Bluetooth SIG to develop new protocols and to test interoperability across industries

Recent Publications

(2023). Modeling with Homophily Driven Heterogeneous Data in Gossip Learning. IJCAI.


(2022). Publishing Asynchronous Event Times with Pufferfish Privacy. DCOSS.

PDF Cite

(2022). Machine learning detects altered spatial navigation features in outdoor behaviour of Alzheimer’s disease patients. Nature Scientific Reports.


(2021). Heterogeneous Interventions Reduce the Spread of Covid-19 in Simulations on Real Mobility Data. Nature Scientific Reports.

PDF Cite Video Source Document DOI

(2020). Differentially Private Range Counting in Planar Graphs for Spatial Sensing. INFOCOM.

PDF Cite Slides DOI

(2018). Topological Signatures For Fast Mobility Analysis. SigSpatial.

PDF Cite Video DOI

(2017). Finding Periodic Discrete Events in Noisy Streams. CIKM.


Under Review

(0001). Continual and Sliding Window Release for Private Empirical Risk Minimization.


(0001). Evaluating the Feasibility of Gossip Learning on Android Phones (Workshop).

(0001). Less Data Can Be Better for Domain Generalization.


(0001). Automatic Seamless Context Share in Multi-comm Scenario.

Source Document

(0001). Seamless Connectivity Across Devices with Heterogeneous Transports.

Source Document