Rituka Jaiswal
About
I am an Associate Professor in the Department of Information and Communication Technology (ICT) at the Norwegian University of Science and Technology (NTNU), Ålesund. I hold a PhD in Smart Grids and Artificial Intelligence, with expertise in energy optimisation, fault detection, and wind farm integration.
My research is informed by extensive industry experience in large-scale software and system development, which shapes my applied and systems-oriented approach to academic work. This background enables me to bridge theory and practice, and to develop solutions that are both technically robust and societally relevant.
As a member of the Sustainable Digitisation Lab, my current research focuses on the use of digital technologies, data, and computational frameworks to address climate change. My work spans energy systems, food systems, and livestock emissions, integrating data-driven, social, economic, and cultural perspectives to support evidence-based climate mitigation and adaptation.
I am recognised as one of Norway’s Top 100+ Women in Artificial Intelligence (Norwegian Artificial Intelligence Consortium, 2022) and contribute to interdisciplinary research and education at the intersection of AI, sustainability, and society.
A core principle of my research is that technological solutions alone are not sufficient. Effective climate action requires evidence-based, interdisciplinary approaches that account for human values, governance, and equity alongside technical performance.
My broader engagement includes:
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Community building for women in AI and technology
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Programme and organising roles in international scientific events
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Advocacy for Ethical AI, human sovereignty and sustainability in the digital age
Research
My research lies at the intersection of digital technologies, data-driven analysis, and sustainability science, with a focus on systems-level and computational approaches to understanding and addressing climate change.
Building on my background in smart grids, artificial intelligence, and energy systems, my current work explores how data integration, modelling, and causal frameworks can be used to analyse climate-related impacts across interconnected socio-technical systems. A particular focus is on the integration of environmental, socio-economic, and health data to study greenhouse gas emissions associated with livestock and animal farming, alongside questions of responsibility, risk, and mitigation pathways.
A central aim of my research is to develop transdisciplinary frameworks that connect technological analysis with sustainability, ethics, and policy. Ongoing and emerging projects focus on combining heterogeneous datasets and computational tools to support evidence-based climate mitigation and adaptation, particularly at the interface of energy systems and agriculture-related emissions.
Publications
2025
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Jaiswal, Rituka;
Schaathun, Hans Georg.
(2025)
On Human Sovereignty in a Digital Age.
Procedia Computer Science
Academic article
2022
-
Jaiswal, Rituka;
Maatug, Fadwa;
Davidrajuh, Reggie;
Rong, Chunming.
(2022)
Anomaly Detection in Smart Meter Data for Preventing
Potential Smart Grid Imbalance.
Academic chapter/article/Conference paper
2021
-
Jaiswal, Rituka;
Davidrajuh, Reggie;
Wondimagegnehu, Seblewongel M..
(2021)
Fog Computing for Efficient Predictive Analysis in Smart Grids.
Academic chapter/article/Conference paper
-
Jaiswal, Rituka;
Davidrajuh, Reggie.
(2021)
Optimal Design of Wind Farm Collector System using a Novel Steiner Spanning Tree.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Article in business/trade/industry journal
-
Jaiswal, Rituka;
Davidrajuh, Reggie.
(2021)
A Simple Algorithm for finding Steiner Spanning
Trees.
Academic chapter/article/Conference paper
2020
-
Jaiswal, Rituka;
Chakravorty, Antorweep;
Chunming, Rong.
(2020)
Distributed Fog Computing Architecture for Real-Time Anomaly Detection in Smart Meter Data.
Academic chapter/article/Conference paper
-
Jaiswal, Rituka;
Davidrajuh, Reggie;
Chunming, Rong.
(2020)
Fog Computing for Realizing Smart Neighborhoods in Smart Grids.
Computers
Academic article
Journal publications
-
Jaiswal, Rituka;
Schaathun, Hans Georg.
(2025)
On Human Sovereignty in a Digital Age.
Procedia Computer Science
Academic article
-
Jaiswal, Rituka;
Davidrajuh, Reggie.
(2021)
Optimal Design of Wind Farm Collector System using a Novel Steiner Spanning Tree.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Article in business/trade/industry journal
-
Jaiswal, Rituka;
Davidrajuh, Reggie;
Chunming, Rong.
(2020)
Fog Computing for Realizing Smart Neighborhoods in Smart Grids.
Computers
Academic article
Part of book/report
-
Jaiswal, Rituka;
Maatug, Fadwa;
Davidrajuh, Reggie;
Rong, Chunming.
(2022)
Anomaly Detection in Smart Meter Data for Preventing
Potential Smart Grid Imbalance.
Academic chapter/article/Conference paper
-
Jaiswal, Rituka;
Davidrajuh, Reggie;
Wondimagegnehu, Seblewongel M..
(2021)
Fog Computing for Efficient Predictive Analysis in Smart Grids.
Academic chapter/article/Conference paper
-
Jaiswal, Rituka;
Davidrajuh, Reggie.
(2021)
A Simple Algorithm for finding Steiner Spanning
Trees.
Academic chapter/article/Conference paper
-
Jaiswal, Rituka;
Chakravorty, Antorweep;
Chunming, Rong.
(2020)
Distributed Fog Computing Architecture for Real-Time Anomaly Detection in Smart Meter Data.
Academic chapter/article/Conference paper
Teaching
Courses
Outreach
2021
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LectureJaiswal, Rituka; Davidrajuh, Reggie. (2021) Anomaly Detection in Smart Meter Data for Preventing Potential Smart Grid Imbalance. AICCC '21: 2021 4th Artificial Intelligence and Cloud Computing Conference , Kyoto 2021-12-17 - 2021-12-19