My Biography

Mohit is currently a Lecturer in Business Information Systems, Data Science and Computing with the Department of Accountancy and Economics, School of Business at Waterford Institute of Technology. Previously, he was a Postdoctoral Research Fellow with the Programmable Autonomous Systems Division of Walton Institute; working on EU, National, International, and Industry funded projects. He worked as the Project and Tech Lead on EU-H2020 funded Smart Cities 2030 project. In Walton, he also worked within the Strategic Division at Walton, liaising with all the Research Divisions within the Institute. He has also been associated with the SFI funded VistaMilk Research Centre and CONNECT Centre. He has previously worked as an Experienced Software Research Engineer with the Emerging Networks Lab (ENL) division.

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 was also a visiting research fellow at IBM Research Labs, Ireland from 2017-2018. His current research interests include Fog and Cloud Computing, IoT, Distributed Systems, and Distributed Data Analytics. He received his Bachelor's Degree in Computer Science and Engineering from The LNM Institute of Information Technology, Jaipur, India in 2015.

Research

Thematic Areas: 

• Software and Computing: Internet of Things (IoT), Fog Computing, Cloud Computing, Data Analytics, Machine Learning, Smart Agriculture, Smart Dairy Farming, Chaos Theory, Adversarial Attacks, AI-Ops, Bias identification in ML models
• Finance: Enterprise Risk Modeling and Stress Testing, AI-enabled AML detection

Memberships: 

• IEEE Member, ACM Member, IEEE Communications Society, IEEE Computer Society, IEEE Computational Intelligence Society, IEEE Internet of Things

Research Awards and Grants:

• CISCO Research Award
• NGI Explorers Fellowship Programme

Full list of publications is available here.

Teaching

Lecturer (Part-Time) - University of Limerick and WIT - January 2020 - July 2021

• Subject-Areas: Applied Mathematics, Data Science; Module: PDMT (Professional Diploma in Mathematics for Teaching)
• Lectured in the subject area of Algebra, Applied Mathematics, and Data Science

Guest Speaker - Invited Lecture - Kildalton Agriculture College, Ireland - November 2019

• Invited lecture to talk to fourth year BSc in Agriculture Science group on the subject of IT (Information Technology) and Agriculture. The topic of presentation was "Machine Learning and Data Analytics for Animal Behaviour Analysis - An Early Lameness Detection Approach"

Guest Speaker - Invited Speaker - Dublin City University (DCU), Ireland - April 2017

• Invited speaker at The Sixth National Conference on Cloud Computing and Commerce on the topic “Designing and Testing IoT Applications with iFogSim Simulator”

Professional

Mohit joined TSSG (now Walton Institute) in 2015 as a Masters researcher 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. During SmartHerd project, he has also been on research exchange with Innovation Exchange, IBM Research Labs, Ireland.

Projects : 

List of projects successfully co-ordinated and delivered as project and tech lead:

• 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, 2019-2021)
• CITIES 2030 (ongoing)

Publons (Peer Reviewer Statistics): https://publons.com/researcher/1442307/mohit-taneja/

Track Chair, Organizing and Technical Program Committee Member - July 2018 - July 2021

• IEEE World Forum on Internet of Things, IEEE IoT
• Serving in the role of track chair for “Computing for IoT” track as part of Technical Program Committee member since last 2 editions of the conference
• Served as core organizing committee member for the 5th edition of the conference hosted in Ireland

Web Chair, Organizing Committee Member - Jan 2019 - June 2020

• IEEE International Conference on Communications (ICC 2020), IEEE
• Served in the role of web chair as core organizing committee member for the 54th edition of the conference hosted in Ireland
• Communicated on a monthly basis with committee and IEEE ComSoc team members to ensure greater online visibility for the conference and ensuring IEEE compliance at each stage of public roll-outs
   

Publications

2021

• M. Taneja, N. Jalodia, P. Malone and E. Misha, "Methodical Analysis of a Fog Computing Assisted Animal-Welfare Software System in a Real-World Smart Dairy Farm IoT Deployment ," 2021 IEEE 7th World Forum on Internet of Things (WF-IoT) [presented, DOI expected sometime in Q4 2021]
• M. Taneja, N. Jalodia and B. Dezfouli, "Towards Building a Data-Driven Framework for Climate Neutral Smart Dairy Farming Practices," 2021 IEEE 11th Global Humanitarian Technology Conference (GHTC) [accepted, conference dates Oct 19-23 2021, DOI expected in Q4 2021/Q1 2022]
• N. Jalodia, M. Taneja and A. Davy, “A Deep Neural Network based Multilabel Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application”, IEEE Open Journal of the Communications Society [accepted, DOI expected Q4 2021]
• N. Jalodia, M. Taneja, A. Davy and B. Dezfouli, “A Residual LSTM based Multi-Label Classification Framework for Proactive SLA Management in a Latency Critical NFV Application Use-Case”, 2022 IEEE 19th Consumer Communications and Networking Conference (CCNC) [accepted, conference dates Jan 8-11 2022]

2020

• 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”. In: Computers and Electronics in Agriculture 171 (2020), p. 105286. issn: 0168-1699. doi: https://doi.org/10.1016/j.compag.2020.105286. url: 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. URL:  https://ieeexplore.ieee.org/document/8982746

2019

• 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                                   URL: 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 
  URL: https://onlinelibrary.wiley.com/doi/full/10.1002/spe.2704
• J. 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

2018

• M. Taneja, J. Byabazaire, A. Davy and C. Olariu, "Fog Assisted Application Support for Animal Behaviour Analysis and Health Monitoring in Dairy Farming," 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 2018, pp. 819-824. doi: 10.1109/WF-IoT.2018.8355141 
  URL: https://ieeexplore.ieee.org/abstract/document/8355141
• M. Taneja, N. Jalodia, and A. Davy, “Towards Decomposed Data Analytics in Fog Enabled IoT Deployments - IEEE Internet of Things Newsletter,” September 2018, [Online]. Available: https://iot.ieee.org/newsletter/september-2018/towardsdecomposed-data-analytics-in-fog-enabled-iot-deployments.html

2017

• 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

2016

• M. Taneja and A. Davy, “Poster Abstract: Resource Aware Placement of Data Stream Analytics Operators on Fog Infrastructure for Internet of Things Applications,” 2016 IEEE/ACM Symposium on Edge Computing (SEC), Washington, DC, 2016, pp. 113-114. doi: 10.1109/SEC.2016.44 
  URL: https://ieeexplore.ieee.org/document/7774693
• Mohit Taneja, Alan Davy, Resource Aware Placement of Data Analytics Platform in Fog Computing, In Procedia Computer Science, Volume 97, 2016, Pages 153-156, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2016.08.295
  URL : http://www.sciencedirect.com/science/article/pii/S1877050916321111

2015

• G. 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 978-3-319-26961-0 https://doi.org/10.1007/978-3-319-269610_16
  URL: https://link.springer.com/chapter/10.1007/978-3-319-26961-0_16

Awards

• Featured Interview Article with Science Foundation Ireland - 2021
• I-Corps @SFI Academy Team - Ag-Tech Livestock Moniotring - Blog Article
• Finalist in AI Awards 2019 under the category of Best Application of AI in an Academic Research Body for SmartHerd project .
• Finalist in Make an Impact Competition 2019 for the SmartHerd project.
• Listed in top 5 projects among those submitted in IEEE ComSoc Student Competition 2019 for the SmartHerd project.
• Listed in top 10 projects among those submitted in IEEE ComSoc Student Competition 2018 for the SmartHerd project entered under the title of Connected Cows.