Ehsanolah Assareh | Energy | Editorial Board Member

Assist. Prof. Dr. Ehsanolah Assareh | Energy | Editorial Board Member 

Assistant Professor | Yeungnam University | South Korea

Ehsanolah Assareh is an accomplished assistant professor affiliated with YU University in South Korea and IAUD University in Iran, with a strong interdisciplinary background in hydrogen energy, artificial intelligence, renewable energy technologies, engineering thermodynamics, and cogeneration systems. He is widely recognized for his influential contributions to energy modeling, optimization, and sustainable energy system design, reflected in more than 2000 citations, an h-index of 22, and an i10-index of 39. His early highly cited works on artificial neural networks for solar radiation prediction and on particle swarm optimization and genetic algorithms for energy demand forecasting in Iran laid a strong foundation for the application of intelligent optimization techniques in energy systems engineering. Over the years, his research has expanded to include advanced forecasting of oil demand, carbon dioxide emissions, and wind speed, as well as the optimization of wind turbines, heat exchangers, and composite structures using evolutionary algorithms. In recent years, his focus has shifted strongly toward integrated renewable and multigeneration systems, particularly the coupling of solar, geothermal, and thermoelectric generators for electricity, cooling, and desalination, along with detailed energy, exergy, and exergoeconomic analyses. He has also made notable contributions to green hydrogen production, power-to-hydrogen and hydrogen-to-power conversion, and techno-economic feasibility studies of hybrid wind–solar systems for rural electrification. His publications in leading journals such as Energy, Solar Energy, Fuel, Renewable and Sustainable Energy Reviews, Geothermics, and the International Journal of Hydrogen Energy demonstrate both technical depth and practical relevance. Through consistent high-impact research, international collaborations, and editorial service, Assareh has played a significant role in advancing intelligent energy systems, sustainable power generation, and hydrogen-based energy solutions at both national and global levels.

Featured Publications

  1. Behrang, M. A., Assareh, E., Ghanbarzadeh, A., & Noghrehabadi, A. R. (2010). The potential of different artificial neural network techniques in daily global solar radiation modeling based on meteorological data. Solar Energy, 84(8), 1468–1480.

  2. Assareh, E., Behrang, M. A., Assari, M. R., & Ghanbarzadeh, A. (2010). Application of particle swarm optimization and genetic algorithm techniques on demand estimation of oil in Iran. Energy, 35(12), 5223–5229.

  3. Behrang, M. A., Assareh, E., Noghrehabadi, A. R., & Ghanbarzadeh, A. (2011). New sunshine-based models for predicting global solar radiation using particle swarm optimization technique. Energy, 36(5), 3036–3049.

  4. Alirahmi, S. M., & Assareh, E. (2020). Energy, exergy, and exergoeconomic analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation. International Journal of Hydrogen Energy, 45(56), 31555–31573.

  5. Assareh, E., & Biglari, M. (2015). A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and gravitational search algorithm. Renewable and Sustainable Energy Reviews, 51, 1023–1037.

Ehsanolah Assareh’s research bridges artificial intelligence with renewable and hydrogen energy systems to deliver high-impact solutions for sustainable power generation and energy optimization. His innovations in smart forecasting, multigeneration systems, and green hydrogen technologies support global decarbonization, energy security, and the transition to clean, resilient energy infrastructures.

Vishwanath Kumar Panangipalli | Mechanical | Most Reader’s Article Award

Dr. Vishwanath Kumar Panangipalli | Mechanical | Most Reader's Article Award

Associate Professor at Anurag University, India

Author Profile

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Summary

Dr. Vishwanath Kumar Panangipalli is an accomplished mechanical engineer specializing in experimental and computational thermal-fluid sciences. A Ph.D. graduate from Deakin University, Australia, he brings robust experience in advanced fluid dynamics, CFD modeling, and solar thermal systems. His academic journey includes supervising multiple student projects, leading industry-academic research, and publishing in high-impact journals. He has been instrumental in mentoring award-winning student teams at international events and is known for integrating practical innovation with academic rigor.

Education

Dr. Vishwanath Kumar holds a Ph.D. in Mechanical Engineering from Deakin University, Australia, which he completed in 2020. His doctoral dissertation focused on “Hydrodynamics and Heat Transfer Studies in Vacuum Fluidization,” highlighting advanced experimental and numerical investigations in thermal-fluid systems. Prior to this, he earned his M.Tech. in Mechanical Engineering from the Indian Institute of Technology (IIT) Madras in 2010, where his thesis involved the “Development and Performance Analysis of a Multi-Stage Evacuated Solar Desalination System,” reflecting his long-standing interest in sustainable energy technologies. He completed his undergraduate degree, B.Tech. in Mechanical Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, India, in 2008, with a final project on “Prediction of Spring Back in V-Bending Using Finite Element Simulation.”

Professional Experience

Dr. Vishwanath Kumar is currently serving as an Associate Professor at Anurag University, Hyderabad, bringing with him over 13 years of academic and research experience. During his tenure at Deakin University, Australia, he contributed as a Teaching Assistant and Postdoctoral Researcher, engaging in industry-funded projects that dealt with quench tank modeling and fluid-thermal simulations. These projects combined experimental insights with high-fidelity computational approaches. Before his doctoral studies, he worked as an Assistant Professor at SISTec, Bhopal, where he guided more than 15 UG and PG student projects focused on thermal engineering, CFD, and solar energy systems. His dedication to education has earned him accolades such as the Dr. Sarvepalli Radhakrishnan Best Teacher Award, and he has also served as an international mentor and course coordinator for advanced engineering subjects.

Research Interests

Dr. Kumar’s research expertise lies primarily in experimental fluid flow and thermal sciences, with a strong foundation in Computational Fluid Dynamics (CFD) and heat transfer. He has made significant contributions to the study of multiphase flows and fluidization systems, particularly under vacuum and non-standard conditions. His work extends into solar thermal systems and desalination technologies, aiming to provide sustainable and efficient water solutions. Additionally, he is proficient in finite element modeling and simulation, which he applies in the design and analysis of complex engineering systems. Dr. Kumar is also actively involved in sustainable energy engineering, integrating clean energy concepts into real-world applications.

📊 Author Metrics

Dr. Kumar has published over 15 peer-reviewed papers, including journal articles and international conference proceedings. His work has been cited more than 370 times, reflecting the impact and relevance of his research. His most cited paper, titled “Solar stills system design: A review,” has garnered 264 citations, establishing it as a valuable resource in the field of renewable energy. With an estimated h-index of 8, Dr. Kumar demonstrates consistent scholarly productivity and citation strength. He maintains active research collaborations with leading institutions such as IIT Madras, Deakin University, and Anurag University, enriching his multidisciplinary research profile.

Top Noted Publication

1. Design and Development of a CanSat for Air Pollution Monitoring with RSSI‑Based Position Retrieval System

Authors: S. S. R. K. Swayampakula, K. V. Vedangi, V. K. Panangipalli, M. Gummadavelli, N. Mala, M. N. Banavath, N. Paladugu, A. Kallem
Journal: Advances in Space Research, Vol. 75, No. 9 (2025), pp. 6799–6816
Overview:
A miniaturized CanSat was designed to monitor air pollution via onboard sensors and transmit data for recovery using an RSSI-based localization system. It emphasized affordability, portability, and effective deployment for field experiments

2. Advancements in Lightweight Two‑Wheeler Rim Design: A Finite Element Analysis Approach with Diverse Materials

Authors: P. V. Kumar, P. M. S. Hallika, J. Singh
Journal: International Journal on Interactive Design and Manufacturing (IJIDeM), 2024, pp. 1–13
Published Online: 29 June 2024
Overview:
The paper reports finite element simulations on two-wheeler rim designs, created in SOLIDWORKS and analyzed in ANSYS. Materials assessed included LM13 aluminum alloy, carbon fiber composites, PEEK, and Tecapeek CF30, under loading scenarios simulating rider and passenger weight. Results show composites reduce stress but increase deformation and strain relative to aluminum.

3. AathreyaSat: A CanSat Model for Air Pollution Measurement in Competition

Authors: R. Reddy, V. K. Panangipalli, N. Mala, C. S. Bairu, R. Rumale
Conference: 2024 IEEE Wireless Antenna and Microwave Symposium (WAMS), February 2024, pp. 1–5
Overview:
This competition-grade CanSat (dubbed “AathreyaSat”) featured a triple-canopy parachute and LoRa Ra-02 telemetry. Equipped with CO₂ & particulate matter sensors, it successfully flew to ~500 m altitude and relayed air-quality data.

4. Performance of Single Slope Solar Stills: A Comparative Study of Conventional and Modified Stills with Nanofluid and Reflectors

Authors: V. K. Panangipalli, M. S. H. Pindiprolu, D. Maharana, N. Ghanapuram
Published In: E3S Web of Conferences, Vol. 552, Article 01023 (July 2024)
Overview:
Experimental testing in Hyderabad compared a conventional single-slope solar still (250 × 250 mm²) with a modified version using cerium oxide nanofluids (0.08% & 0.1 vol) and reflectors. Operating at 1 cm depth and with a cover angle of ~17.45°, the modified still achieved higher cumulative hourly yield in local climate conditions.

5. CFD Modelling and Experimental Validation of a Single‑Slope Passive Solar Still for Efficient Water Desalination

Authors: M. S. H. Pindiprolu, V. K. Panangipalli, C. V. S. D. Kartheek
Published In: E3S Web of Conferences, Vol. 552, Article 01084 (July 2024)
Overview:
This study utilized ANSYS Fluent (v19.2) to create a multiphase 2D CFD model of a single-slope solar still. Predicted distillate output (0.0692 kg/m²⋅h) closely matched experimental measurements (0.058 kg/m²⋅h), with a thermal prediction error of just 1.55%. Results confirm strong model accuracy and validate design parameters.

Conclusion 

Dr. Vishwanath Kumar Panangipalli is a strong contender for the Most Reader's Article Award, supported by the lasting impact of his highly cited research, particularly in solar thermal systems and sustainable desalination technologies. His ability to blend experimental insight with computational rigor makes his work both readable and practically influential. While minor improvements in outreach and access could elevate his influence further, his current profile clearly aligns with the intent and merit of this award category.