Dr. Mohit Taneja

By 2nd February 2018 No Comments

Dr. Mohit Taneja

Postdoctoral Researcher
P: +353 (0)876628913
Personal Summary

ORCID ID: https://orcid.org/0000-0002-2261-5722

Mohit is currently working as a Postdoctoral Researcher with the Programmable & Autonomous Systems Unit (PAS) of TSSG as part of the Science Foundation Ireland (SFI) funded VistaMilk Research Centre. He has previously worked as an Experienced Software Research Engineer with the Emerging Networks Lab (ENL) research unit of TSSG.

He earned his Ph.D. while working within ENL in TSSG from Waterford Institute of Technology, Ireland in 2020. The title of his dissertation was ‘Fog Computing Support for Internet of Things Applications’. The work involved efficient design, development and  deployment of IoT services into the Fog/Cloud computing environment, and on the data analytics functionality of these IoT applications in the Fog/Cloud computing environment. The work was validated through a real world deployment within the Smart Agriculture vertical.

He joined TSSG in 2015 as a Masters student as part of the SFI funded CONNECT research centre. During his master studies, he worked on SFI-CONNECT-IBM project ‘SmartHerd’, which focused on the health, welfare and monitoring of dairy cows, and the early detection of lameness in cattle with the help of technology. He moved to the PhD program in 2017 with the Department of Computing and Mathematics at the ENL research unit in TSSG, Waterford Institute of Technology, Ireland. He further progressed to a parallel staff position as an Experienced Software Research Engineer at TSSG in 2019. In his role as a Software Research Engineer, he worked on the follow on use-case project MELD(Machine Learning for Early Lameness Detection) of SmartHerd, which was funded through the IoF2020 project under the European Union’s Horizon 2020 research and innovation programme.

He has also worked on a CISCO funded project that developed a framework for dynamic task sharing and distributed decomposed data analytics in fog enabled IoT deployments with cloud support. His current research interests include Fog and Cloud Computing, Internet of Things (IoT), Distributed Systems, and Distributed Data Analytics. His research focuses on leveraging fog computing for data analytics in IoT deployments, and in particular decomposing data analytics and machine learning programs for fog enabled IoT systems towards effective resource and service management to support and meet the requirements for real-time IoT analytics. He has also previously interned with ArcelorMittal, Kazakhstan, and McAfee, India. During SmartHerd project, he has also been on research exchange with Innovation Exchange, IBM Research Labs, Ireland.

  • Bachelor’s Degree in Computer Science and Engineering from The LNM Institute of Information Technology, Jaipur, India in 2015
  • PhD in Computer Science from Waterford Institute of Technology, Ireland in 2020
  • SmartHerd (SFI-IBM-CONNECT, 2015-2018)
  • MELD(Machine Learning for Early Lameness Detection) (MELD-IoF2020, H2020, 2019-2020)
  • Fog Assisted Middleware Support for IoT Applications (CISCO Research Gift Fund, 2019-2020)
  • Dynamic and Intelligent Allocation of Fog Resources to IoT Applications (NGI Explorers Fellowship, EU-US Collaboration, H2020, 2019-2020)
Research Awards and Grants
Funding Wins




  • M. Taneja, J. Byabazaire, N. Jalodia, A. Davy, C. Olariu, and P. Malone, “Machine learning  based  fog  computing  assisted data-driven approach for early lameness detection in dairy cattle,” Computers and Electronics in Agriculture,  vol.  171,  p.105286, 2020. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S016816991931840X
  • M. Taneja, N. Jalodia, P. Malone, J. Byabazaire, A. Davy and C. Olariu, “Connected Cows: Utilizing Fog and Cloud Analytics toward Data-Driven Decisions for Smart Dairy Farming,” in IEEE Internet of Things Magazine, vol. 2, no. 4, pp. 32-37, December 2019. https://ieeexplore.ieee.org/document/8982746


  • M. Taneja, N. Jalodia and A. Davy, “Distributed Decomposed Data Analytics in Fog Enabled IoT Deployments,” in IEEE Access, vol. 7, pp. 40969-40981, 2019. doi: 10.1109/ACCESS.2019.2907808. https://ieeexplore.ieee.org/document/8675283
  • M. Taneja, N. Jalodia, J. Byabazaire, A. Davy, and C. Olariu,“Smartherd management: A microservices-based fog computing assisted iot platform towards data-driven smart dairy farming,” in Software: Practice and Experience, vol. 49, no. 7, pp. 1055-1078, 2019. doi: 10.1002/spe.2704. https://onlinelibrary.wiley.com/doi/full/10.1002/spe.270
  • Byabazaire, C. Olariu, M. Taneja, and A. Davy, “Lameness detection as a service: Application of machine learning to an internet of cattle,” in 2019 16th IEEE Annual Consumer Communications Networking Conference (CCNC), Jan 2019, pp. 1–6. URL: https://ieeexplore.ieee.org/document/8651681



  • M. Taneja and A. Davy, “Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm,” 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), Lisbon, 2017, pp. 1222-1228. doi: 10.23919/INM.2017.7987464. URL: https://ieeexplore.ieee.org/document/7987464 



  • Somani, A. Johri, M. Taneja, U. Pyne, M.S. Gaur and D. Sanghi, ” DARAC: DDoS Mitigation using DDoS Aware Resource Allocation in Cloud,” 2015 11th International Conference On Information Systems Security (ICISS), Kolkata, 2015, pp 263-282, Lecture Notes in Computer Science, vol 9478. Springer, Cham Print ISBN 978-3-319-26960-3, Online ISBN 978-3-319-26961-0https://doi.org/10.1007/978-3-319-269610_16. URL: https://link.springer.com/chapter/10.1007/978-3-319-26961-0_16