Souman Rudra

Associate Professor

University of Agder

Norway

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About

Souman Rudra is an Associate Professor at the University of Agder, Norway. His research areas encompass hydrodynamic cavitation processes, biomass valorization, energy systems optimization, and advanced photocatalytic materials. Recent publications highlight his work on biomass pretreatment, hydrogen production from industrial waste, and the application of machine learning in energy systems.

Articles (15)

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2025

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2025

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2025

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2024

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2024

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2024

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2022

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2021

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2021

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2020

Collaborators (1)

Markus Preißinger

Head of Research

Vorarlberg University of Applied Sciences

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Souman Rudra

Research Interests

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Articles (15)

Numerical modelling and experimental validation of an orifice plate-based hydrodynamic cavitation process for improving the biomass pretreatment

Pyro-gasification of Norwegian industrial solid waste (ISW) for hydrogen production and district heating application: A 4-E (energy, exergy, environment, and economic) analysis

Hydrodynamic Cavitation-Assisted Hydrothermal Separation: A Pathway for Valorizing Lignocellulosic Biomass into Biopolymers and Extractives

An interpretable and adaptable data-driven model for performance prediction in thermal plants

NiFe Co-doped TiO2 as a high-performance bifunctional photocatalyst for enhanced oxygen evolution and reduction reactions in efficient zinc-air battery systems

Light-driven photocathodes in Li/Zn-O2 (air) batteries: An analytical review, technological breakthroughs and future challenges

Substitutional electronegative element defects-induced modification of silicene's electronic structures as high-performance cathode material for water splitting

Phase transformation and electronic structure modulation of 1T-MoS2 with electronegative non-metal doping as anode material for enhanced potassium-ion battery

Enhancing the performance of silicon-based anode materials for alkali metal (Li, Na, K) ion battery: A review on advanced strategies

A data-driven regression model for predicting thermal plant performance under load fluctuations

Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy, and electric vehicle optimisation

Effect of co-liquefaction of lignin and laminaria saccharina on optimization of bio-oil yield

Numerical modeling and validation of hydrothermal liquefaction of a lignin particle for biocrude production

Characterization and Evaluation of Hydrothermal Liquefaction Char from Alkali Lignin in Subcritical Temperatures

Hydrothermal liquefaction of wood using a modified multistage shrinking-core model

Collaborators (1)

Markus Preißinger

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