Assist. Prof. Dr. Monaem Elmnifi | Renewable Energy | Editorial Board Member

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Assist. Prof. Dr. Monaem Elmnifi | Renewable Energy | Editorial Board Member

Assist. Prof. Dr. Monaem Elmnifi | Bright Star University | Libya

Assist. Prof. Dr.Monaem  Elmnifi is a dedicated mechanical engineering professional known for his strong expertise in renewable energy, heat transfer, materials science, and advanced manufacturing technologies. In his roles as Assistant and Associate Lecturer at the University of Benghazi, along with his academic contributions at Bright Star University, he has played a key part in teaching core mechanical engineering courses and guiding students toward practical, research-driven learning. His supervision of undergraduate projects demonstrates a clear focus on sustainable engineering solutions, including waste-to-energy conversion systems, solar-powered adsorption cooling technologies, and hybrid solar–wind energy generation tailored to regional needs. His academic influence is further evidenced by notable research metrics: Scopus records 261 citations by 204 documents, 40 indexed publications, and an h-index of 9. His ORCID profile lists 54 works, with 50 publicly visible. Google Scholar reflects a strong scholarly impact with 1,015 citations, an h-index of 19, and an i10-index of 29. These achievements highlight Mr. Monaem Hamad Elmnifi’s professional strength, his commitment to advancing mechanical engineering knowledge, and his growing contribution to sustainable energy research and engineering education.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Nassar, Y. F., El-Khozondar, H. J., Khaleel, M. M., Ahmed, A. A., Alsharif, A. H., … Elmnifi, M. (2024). Design of reliable standalone utility-scale pumped hydroelectric storage powered by PV/Wind hybrid renewable system. Energy Conversion and Management, 322, 119173.

Khaleel, M., Nassar, Y., El-Khozondar, H. J., Elmnifi, M., Rajab, Z., Yaghoubi, E., … others. (2024). Electric vehicles in China, Europe, and the United States: Current trend and market comparison. International Journal of Electrical Engineering and Sustainability, 1–20.

Makhzom, A. M., Aissa, K. R., Alshanokie, A. A., Nassar, Y. F., El-Khozondar, H. J., … Elmnifi, M. (2023). Carbon dioxide life cycle assessment of the energy industry sector in Libya: A case study. International Journal of Electrical Engineering and Sustainability, 145–163.

Khaleel, M., Yusupov, Z., Alderoubi, N., Abdul_jabbar, R. L., Elmnifi, M., … others. (2024). Evolution of emissions: The role of clean energy in sustainable development. Challenges in Sustainability, 12(2), 122–135.

Jenkins, P., Elmnifi, M., Younis, A., & Emhamed, A. (2019). Hybrid power generation by using solar and wind energy: Case study. World Journal of Mechanics, 9(4), 81–93.

Nassar, Y., Irhouma, M., Salem, M., El-Khozondar, H., Suliman, S., Elmnifi, M., … others. (2025). Towards green economy: Case of electricity generation sector in Libya. Solar Energy and Sustainable Development Journal, 14(1), 334–360.

Moria, H., & Elmnifi, M. (2020). Feasibility study into possibility potentials and challenges of renewable energy in Libya. International Journal of Advanced Science and Technology, 29(3), 12546–12560.

Nassar, Y. F., El-Khozondar, H. J., Abouqeelah, M. H., Abubaker, A. A., Miskeen, A. B., … Elmnifi, M. (2023). Simulating the energy, economic and environmental performance of concentrating solar power technologies using SAM: Libya as a case study. Journal of Solar Energy and Sustainable Development, 12(2), 4–23.

Mrs. Tharangika Bambaravanage | Green Technologies | Green Energy Award

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Mrs. Tharangika Bambaravanage | Green Technologies | Green Energy Award

Mrs. Tharangika Bambaravanage | Institute of Technology, University of Moratuwa | Sri Lanka

Mrs.  Tharangika Bambaravanage is a Senior Lecturer at the Institute of Technology, University of Moratuwa, with more than 20 years of experience in electrical engineering. Her research focuses on renewable energy, green technologies, and power system stability, contributing to the advancement of sustainable and efficient power systems. She has completed 4 major research projects and is currently leading 1 ongoing project in collaboration with the Ceylon Electricity Board on minimizing the impact of solar photovoltaic (PV) penetration on the power quality of distribution lines. Dr. Bambaravanage has published 7 academic documents indexed in Scopus, with citations by 3 documents and an h-index of 1. According to Google Scholar, she has received 42 total citations and 27 in recent years, with an h-index of 5 and 3 respectively. Her scholarly work includes 4 journal papers, 2 book chapters, and 1 published book addressing issues in power system operation and sustainable energy management. As a Chartered Engineer and professional member of the Institute of Electrical and Electronics Engineers and the Institution of Engineers Sri Lanka, she plays a key role in bridging academia and industry while driving innovation in renewable and resilient energy systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

  • Bambaravanage, T., Kumarawadu, S., & Rodrigo, A. (2016). Comparison of three under-frequency load shedding schemes referring to the power system of Sri Lanka. Engineer: Journal of the Institution of Engineers, Sri Lanka, 49(1), 9.

  • Bambaravanage, T., Rodrigo, A. S., Kumarawadu, S. P., & Lidula, N. (2013). A new scheme of under frequency load shedding and islanding operation. Annual Transactions of the Institution of Engineers, Sri Lanka, 290–296.

  • Dilushani, P. D. R., Nawodani, W. R. N., Bambaravanage, T., & Udayakumar, K. A. C. (2020). Soil resistivity analysis and earth electrode resistance determination. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 15(2), 26–35.

  • Bambaravanage, T., Rodrigo, A., & Kumarawadu, S. (2018). Modeling, simulation, and control of a medium-scale power system. Springer.

  • Bambaravanage, T., Kumarawadu, S., Rodrigo, A., & Arachchige, L. N. W. (2013). Under-frequency load shedding for power systems with high variability and uncertainty. In 2013 IEEE International Conference on Signal Processing, Computing and Control (pp. 1–6).

  • Bambaravanage, T., Perera, C., & Rodrigo, A. (2025). An effective stability solution for small power systems with high distributed generation. Discover Energy, 5(1), 17.

  • Bambaravanage, T., Rodrigo, A., & Kumarawadu, S. (2017). Designing the load shedding scheme. In Modeling, Simulation, and Control of a Medium-Scale Power System (pp. 97–120). Springer.

 

Ms. Haitong Yang | Renewable Energy | Women Researcher Award

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Ms. Haitong Yang | Renewable Energy | Women Researcher Award

Ms. Haitong Yang | China university of geosciences | China

Ms. Haitong Yang is a joint Ph.D. student at the China University of Geosciences (Beijing) specializing in Oil and Gas Engineering, with research focusing on advanced interpretation methods for production profiling based on microbial DNA sequencing. His academic background includes a Master’s degree in Oil and Gas Engineering from the China University of Petroleum (Beijing), where his work centered on production dynamic monitoring using microbial DNA sequencing, and a Bachelor’s degree in Oil and Gas Storage and Transportation Engineering from Northeast Petroleum University. Haitong has been recognized with multiple national and international awards, including the National Scholarship for Chinese Graduate Students, first prizes in the China Doctoral Academic Forum and the Asia Pacific Cup in Mathematical Modeling, as well as honors in innovation and entrepreneurship competitions. His technical expertise encompasses DNA extraction experiments, Mothur, CMG, Petrel, and MATLAB, applied to major projects in Shengli and Changqing Oilfields, where his work integrates microbial genomics with petroleum engineering to optimize reservoir evaluation, water flow path tracking, and fluid biomarker analysis. His contributions have resulted in 9 published documents, 51 citations by 47 documents, and an h-index of 3, reflecting his growing impact in the field of intelligent oil and gas engineering and reservoir characterization.

Profile: Scopus

Featured Publication

Yang, H., Kang, Z., Wang, S., & Jiang, H. (2025). DNA-sequencing method maps subsurface fluid flow paths for enhanced monitoring. Communications Earth and Environment.

 

Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

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Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

Dr. Nisha Dagade | Sinhgad Institutes | India

Dr. Nisha R. Dagade  is an accomplished Assistant Professor at Sinhgad Institutes, Pune, India, specializing in electrical power systems with a particular focus on Distributed Generation  and Reliability Analysis. Her research emphasizes the optimal integration of renewable DG sources into modern distribution networks, addressing both technical and economic challenges through heuristic and metaheuristic optimization approaches such as Ant Colony Optimization (ACO). Dr. Dagade’s scholarly contributions explore multi-objective frameworks that aim to reduce power losses, improve voltage profiles, and enhance the overall reliability and cost-effectiveness of distribution systems. Her notable work, “Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives,” published in Evolving Systems (2022), has gained significant academic recognition. With a strong research portfolio comprising 10 completed and ongoing projects, 7 Scopus-indexed journal publications, and one published book, and maintains an active research profile with 61 citations, an h-index of 5, and an i10-index of 2 , she continues to advance innovation in the domain of sustainable power systems. She has also collaborated with IIT Bombay on research initiatives that bridge academic insights with real-world applications. Her professional memberships in IAENG and I2OR reflect her active engagement in the global engineering research community. Dr. Dagade’s work embodies the integration of renewable energy technologies for efficient, reliable, and environmentally responsible power system development.

Profile: Google Scholar

Featured Publications

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2022). Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives. Evolving Systems, 13(3), 485–498.

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2011). Application of Monte Carlo simulation for reliability cost/worth analysis of distribution system. In 2011 International Conference on Power and Energy Systems (pp. 1–6).

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2012). Time sequential Monte Carlo simulation for evaluation of reliability indices of power distribution system. In Proceedings of the 2012 IEEE Symposium on Computers and Informatics (ISCI 2012).

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2019). Placement of distributed generation in distribution networks: A survey on different heuristic methods. In Techno-Societal 2018: Proceedings of the 2nd International Conference on Techno-Societal.

  • Dagade, N. R. G., Bapat, V. N., & Korachagaon, I. (2020). Improved ACO for planning and performance analysis of multiple distributed generations in distribution system for various load models. In 2020 Second International Sustainability and Resilience Conference.

 

 

Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

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Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

Prof. Dr. Jose Manuel Andujar Marquez | University of Huelva | Spain

Prof. Dr. Jose Manuel Andujar Marquez is a Full Professor at the University of Huelva in Spain with expertise in control engineering, renewable energies, hydrogen technologies, energy rehabilitation, engineering education, and precision farming. He holds a PhD in Engineering from the University of Huelva, a degree in Physical Sciences from UNED, and an Industrial Technical Engineering degree from the University of Seville. Over his career, he has authored more than five hundred fifty publications including journal articles, books, book chapters, conference papers, and patents, with over one hundred seventy articles indexed in ISI JCR journals and more than ninety in Q1 journals. Notably, fifty-four of his articles appear in the top ten journals in their category, several ranking first. His work has significant international impact, reflected in an h index of forty or more on Scopus, forty-six or more on ResearchGate, and fifty-two or more on Google Scholar, with over ten thousand citations in major databases and more than two hundred fifty thousand reads on ResearchGate. His research contributions span intelligent control systems, renewable energy integration, sustainable engineering technologies, and precision farming, demonstrating a strong commitment to innovation and advancing engineering solutions for global challenges. His publications have influenced both academic research and practical applications in energy efficiency, smart systems, and sustainable technology development.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Andújar, J. M., & Segura, F. (2009). Fuel cells: History and updating. A walk along two centuries. Renewable and Sustainable Energy Reviews, 13(9), 2309-2322.

Andújar, J. M., Mejías, A., & Márquez, M. A. (2010). Augmented reality for the improvement of remote laboratories: An augmented remote laboratory. IEEE Transactions on Education, 54(3), 492-500.

Enrique, J. M., Durán, E., Sidrach-de-Cardona, M., & Andújar, J. M. (2007). Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies. Solar Energy, 81(1), 31-38.

Vivas, F. J., De las Heras, A., Segura, F., & Andújar, J. M. (2018). A review of energy management strategies for renewable hybrid energy systems with hydrogen backup. Renewable and Sustainable Energy Reviews, 82, 126-155.

Enrique, J. M., Andújar, J. M., & Bohorquez, M. A. (2010). A reliable, fast and low cost maximum power point tracker for photovoltaic applications. Solar Energy, 84(1), 79-89.

Sánchez Cordero, A., Gómez Melgar, S., & Andújar Márquez, J. M. (2019). Green building rating systems and the new framework Level(s): A critical review of sustainability certification within Europe. Energies, 13(66), 1-26.

Durán, E., Piliougine, M., Sidrach-de-Cardona, M., Galán, J., & Andújar, J. M. (2008). Different methods to obtain the I–V curve of PV modules: A review. In 2008 33rd IEEE Photovoltaic Specialists Conference (pp. 1-6).

Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

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Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

Dr. Aamir Ali | Quaid-e-Awam University of Engineering Science and Technology | Pakistan

Dr. Aamir Ali is currently serving as an Assistant Professor (BPS-19) in the Department of Electrical Engineering at Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Sindh, Pakistan. He is a highly dedicated academic and researcher specializing in power system planning and optimization, distributed generation, and microgrid operations in both islanded and grid-connected modes. Dr. Ali earned his Ph.D. in Electrical Engineering from QUEST in 2020, where his doctoral research focused on single and multi-objective mathematical programming, direct search evolutionary algorithms, and optimization techniques for economic dispatch, optimal power flow, and unit commitment with renewable energy integration such as wind and solar PV systems. Prior to his doctorate, he completed his Master of Engineering in Power System Optimization from the same institution in 2015 and his Bachelor of Engineering in Electrical Power with an outstanding 85% score in 2012. His academic journey began with strong foundational performance at the intermediate and matriculation levels, both from the Board of Intermediate and Secondary Education, Hyderabad, Sindh, where he secured first division and A-1 grade distinctions. With 445 citations by 342 documents, 27 published works, and an h-index of 11, Dr. Aamir Ali has established himself as an active researcher in power systems optimization. He aspires to continue contributing to academia and research while leading a top-tier institution toward excellence in education and innovation.

Profile: Scopus | Orcid

Featured Publications

Akbar Talani, R., Kaloi, G. S., Ali, A., Abbas, G., Emara, A., & Touti, E. (2025, July 29). Fault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme. PLOS One.

Ali, A., Akbar Talani, R., Kaloi, G. S., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P., & Touti, E. (2025, January 29). Dynamic performance analysis and fault ride-through enhancement by a modified fault current protection scheme of a grid-connected doubly fed induction generator. Machines, 13(2).

Ali, A., Ali, A., Liu, Z., Abbas, G., Touti, E., & Nureldeen, W. (2024). Dynamic multi-objective optimization of grid-connected distributed resources along with battery energy storage management via improved bidirectional coevolutionary algorithm. IEEE Access.

Ali, A., Shah, A., Keerio, M. U., Mugheri, N. H., Abbas, G., Touti, E., Hatatah, M., Yousef, A., & Bouzguenda, M. (2024). Multi-objective security constrained unit commitment via hybrid evolutionary algorithms. IEEE Access.

Abbas, G., Wu, Z., & Ali, A. (2024, December). A two-stage reactive power optimization method for distribution networks based on a hybrid model and data-driven approach. IET Renewable Power Generation.

Ali, A., Aslam, S., Mirsaeidi, S., Mugheri, N. H., Memon, R. H., Abbas, G., & Alnuman, H. (2024, December). Multi-objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation. IET Renewable Power Generation.

Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

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Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

Mr. Ahmad Usman | Cranfield University | United Kingdom

Mr. Ahmad Usman is a dedicated PhD student at Cranfield University specializing in coating and corrosion science, with a strong focus on developing advanced materials to protect critical components in power plants under demanding conditions. His research encompasses the fireside-corrosion behavior of thermally sprayed and Ni-based coatings in challenging environments, including chlorine-rich combustion atmospheres, and investigates oxidation, erosion, and wear mechanisms at the microscopic level. Mr. Usman has contributed to advancing knowledge on thermal spray coatings through both academic and industry projects, including his role as Group Innovation Engineer at Welding Alloys Group, UK, and collaborations with the National High Temperature Surface Engineering Centre. He has co-authored book chapters on self-healing elastomers and polymeric paints and coatings, highlighting his expertise in functional polymers. His research interests include real-time monitoring of coating degradation, modeling corrosion kinetics in waste-to-energy (WtE) environments, and optimizing thermal spray coatings to resist high-temperature corrosion, erosion, and wear damage. With a growing citation record and an h-index of 2, Mr. Usman is an active member of the Institute of Corrosion and the Pakistan Engineering Council, demonstrating his commitment to both academic excellence and industrial innovation, while consistently exploring innovative solutions to extend the lifespan and reliability of critical energy infrastructure.

Profile: Orcid

Featured Publications

Usman, A., Syed, A., Isern Arrom, L., Nicholls, J., & Cordero, M. (2024, September 5). Degradation of novel coating systems for heat exchanger materials for WtE power plant applications [Conference poster]. EUROCORR 2024, Cranfield University.

Rehan, Z. A., & Usman, A. (2023). Polymeric paints and coatings. In Advanced Functional Polymers. Springer.

Zubair, Z., Usman, A., & Hafeez, A. (2023). Self-healing elastomers. In Advanced Functional Polymers. Springer.

Usman, A. (2021, December 8). Fabrication of low emissivity paint thermal/NIR radiation insulation for domestic applications [Conference poster]. 1st International Conference of Polymers and Composites (ICPC-2021).

Usman, A., Isern Arrom, L., Nicholls, J., Cordero, M., & Syed, A. U. (2025). Fireside corrosion behavior of thermally sprayed coatings for waste-to-energy power plant applications. Journal of Materials Engineering and Performance.

Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

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Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

Dr. Guangxing Guo | Yangzhou University | China

Dr. Guangxing Guo is a dedicated researcher in the field of wind energy with strong academic training and impactful contributions. He is pursuing a Doctor of Engineering degree at Yangzhou University, focusing on the application of artificial intelligence in wind energy, and also gained international academic exposure as a guest student at Aalborg University, Denmark. He earned a Master of Engineering degree from the Institute of Engineering Thermophysics, Chinese Academy of Sciences, where his research centered on the structural performance of wind turbine blades, and a Bachelor of Engineering in New Energy Science and Engineering from Lanzhou University of Technology. His expertise covers aerodynamics, aeroelastic dynamics, structural dynamics, and computational fluid dynamics. To date, he has published 8 documents, including SCI-indexed works in Composite Structures, Sustainable Energy Technologies and Assessments, and Energies. His research has received 90 citations by 75 documents, with an h-index of 5, demonstrating growing academic recognition. He has also presented his work at international conferences, highlighting contributions to wind turbine blade design, wind farm noise reduction, and machine learning-based performance evaluation.

Profile: Scopus | Orcid

Featured Publications

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Hua, Y. (2025). Large wind turbine blade design with mould sharing concept based on deep neural networks. Sustainable Energy Technologies and Assessments, 73, 104131.

Guo, G., Zhu, W., Zhang, Z., Shen, W., & Chen, Z. (2025). Achieving power-noise balance in wind farms by fine-tuning the layout with reinforcement learning. Energies, 18(18), 5019.

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Cao, J. (2024). An aero-structure-acoustics evaluation framework of wind turbine blade cross-section based on gradient boosting regression tree. Composite Structures, 337, 118055.

Guo, G., Zhu, W., Sun, Z., Shen, W., Cao, J., & Fu, S. (2023). Drag reducer design of wind turbine blade under flap-wise fatigue testing. Composite Structures, 318, 117094.

Zhu, W., Liu, J., Sun, Z., Cao, J., Guo, G., & Shen, W. (2022). Numerical study on flow and noise characteristics of an NACA0018 airfoil with a porous trailing edge. Sustainability, 15(1), 275.

Li, S., Zhang, L., Xu, J., Yang, K., Song, J., & Guo, G. (2020). Experimental investigation of a pitch-oscillating wind turbine airfoil with vortex generators. Journal of Renewable and Sustainable Energy, 12(6), 063304.

Dr. Goutam Khankari | Sustainable Engineering | Best Researcher Award

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Dr. Goutam Khankari | Sustainable Engineering | Best Researcher Award

Dr. Goutam Khankari | Damodar Valley Corporation | India

Dr. Goutam Khankari is a distinguished researcher and engineer specializing in thermal power systems. His PhD research, titled “Thermodynamic Analysis and Performance Improvement of Coal-Fired Thermal Power Plants,” focused on a comprehensive 4-E approach—Energy, Exergy, Environment, and Economic analysis—of various coal-fired steam power plants using high-ash Indian coals. The primary objective of his work was to enhance the overall efficiency and net power output of these plants by exploiting low-grade waste energy through the Kalina Cycle System, integrating solar energy, and optimizing operational conditions. Dr. Khankari’s research not only provides critical insights into energy and exergy efficiencies but also emphasizes sustainable practices and environmental considerations in coal-based power generation. His work has been widely recognized, reflected in 97 citations across 88 documents and an h-index of 5, demonstrating significant academic influence. Through his innovative approaches to performance improvement and waste energy utilization, Dr. Khankari has contributed meaningfully to the field of thermal engineering, offering practical solutions for maximizing energy output while minimizing environmental impact in India’s coal-fired power sector.

Profile: Scopus | Google Scholar

Featured  Publications

Khankari, G., & Karmakar, S. (2016). Power generation from coal mill rejection using Kalina cycle. Journal of Energy Resources Technology, 138(5), 052004.

Khankari, G., Munda, J., & Karmakar, S. (2016). Power generation from condenser waste heat in coal-fired thermal power plant using Kalina cycle. Energy Procedia, 90, 613–624.

Khankari, G., & Karmakar, S. (2018). Power generation from fluegas waste heat in a 500 MWe subcritical coal-fired thermal power plant using solar assisted Kalina Cycle System 11. Applied Thermal Engineering, 138, 235–245.

Khankari, G., & Karmakar, S. (2021). A novel solar assisted Kalina cycle system for waste heat utilization in thermal power plants. International Journal of Energy Research, 45(12), 17146–17158.

Roge, N. H., Khankari, G., & Karmakar, S. (2022). Waste heat recovery from fly ash of 210 MW coal fired power plant using organic rankine cycle. Journal of Energy Resources Technology, 144(8), 082107.

Khankari, G., & Karmakar, S. (2014). Operational optimization of turbo-generator (TG) cycle of a 500MW coal-fired thermal power plant. In 2014 6th IEEE Power India International Conference (PIICON) (pp. 1–6).

Khankari, G., Karmakar, S., Pramanick, A., & Biswas, M. (2013). Thermodynamic analysis of a 500MW coal-fired Indian power plant. In ESMOC Conference, NIT Durgapur, India.

Dr. B. J. Job Karuna Sagar | Renewable Energy | Best Researcher Award

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Dr. B. J. Job Karuna Sagar | Renewable Energy | Best Researcher Award

Dr. B. J. Job Karuna Sagar , Joginpally B.R Engineering College hyderabad , India.

Dr. B. J. Job Karuna Sagar 🎓 is a dedicated academician and researcher with over 21 years of experience in teaching and academic leadership in the field of Computer Science 👨‍🏫💻. Currently serving as Professor & Dean of Faculty Affairs at Joginapally B.R. Engineering College, Hyderabad 🏫, he is known for his commitment to student success, academic planning, and innovative teaching methodologies. With a Ph.D. in Computer Science & Technology 🧠 and a strong background in practical and theoretical computing, he has mentored numerous students and contributed significantly to institutional development. His passion for emerging technologies and continuous learning drives his academic journey. 🚀📘

Professional Profile

Scopus
Orcid

Education and Experience 

🎓 Education:

  • 🧑‍🎓 Ph.D. in Computer Science & Technology – Dravidian University, 2021

  • 💾 M.Tech in Computer Science & Engineering – Sathyabama University (2007–2009)

  • 💻 MCA – JNTU College of Engineering, Ananthapur (2000–2003)

  • 📊 B.Sc (Mathematics, Economics, Statistics) – Sri Venkateswara University

🏢 Work Experience:

  • 👨‍🏫 Professor & Dean of Faculty Affairs – JBREC, Hyderabad (2022–Present)

  • 👨‍🏫 Academic Consultant – Yogi Vemana University, Kadapa (2016–2022)

  • 👨‍🏫 Associate Professor – Bharath College of Engineering, Kadapa (2014–2016)

  • 👨‍🏫 Assistant Professor – KSRM College of Engineering, Kadapa (2004–2014)

 Summary Suitability

Dr. B. J. Job Karuna Sagar is a distinguished academician and researcher with over 21 years of cross-functional experience in Computer Science and Engineering. A recipient of a Ph.D. in Computer Science & Technology from Dravidian University, he has consistently demonstrated research excellence, academic leadership, and technological innovation. His extensive teaching expertise, coupled with advanced knowledge in areas such as Data Science, Blockchain Technology, IoT, and Software Engineering, make him a highly deserving nominee for the Best Researcher Award.

Professional Development

Dr. Karuna Sagar is an enthusiastic professional committed to academic excellence and lifelong learning 🎓📈. As a Professor and Dean, he has effectively led faculty development initiatives, curriculum enhancement, and institutional collaborations 🏫🤝. His administrative prowess includes coordinating NBA accreditation 📑, managing academic councils 🧾, and overseeing departmental functions with precision. He actively mentors UG and PG students in research and real-time projects 💼📊. His participation in seminars, industrial visits, and student motivation programs highlights his holistic approach to education 💬🚍. Tech-savvy and research-oriented, he adapts to emerging trends like Data Science, Blockchain, and IoT seamlessly. 🔗🌐

Research Focus 

Dr. B. J. Job Karuna Sagar’s research spans dynamic fields in Computer Science & Engineering, with a growing focus on Energy Informatics and Smart Grid Technologies ⚡🔋. His work bridges core computing areas such as Data Science, IoT, and Blockchain with applications in energy efficiency, smart energy systems, and sustainable computing 🌱💡. He actively guides projects that explore real-time monitoring, optimization of power consumption, and secure energy transactions using blockchain and distributed systems 🔐🔌. By integrating digital innovation with energy challenges, he contributes to building smarter, greener, and more connected energy infrastructures 🌐⚙️.

🏆 Awards and Honors 

  • 🏅 Ratified as Professor by JNTUH

  • 📘 Appointed as PRC (Progress Review Committee) Coordinator at institutional level

  • 📚 Library Committee In-charge – JBREC

  • 🛠️ Coordinator for NBA Criteria 9 – JBREC

  • 🎓 Active Academic Council Member – multiple institutions

  • 📝 Paper Setter & Moderator – UG and PG levels since 2004

  • 🧭 Successfully organized department and institutional programs as Dean

  • 🚍 Led student industrial/educational visits and academic initiatives

Publication Top Notes

  • Internet of Things Based Autonomous Robot System Architecture for Home Automation and Healthcare Services
    🗞 Indonesian Journal of Electrical Engineering and Computer Science
    ISSN: 2502-4752

  • Cloud Computing Environment Based Hierarchical Anomaly Intrusion Detection System Using Artificial Neural Network
    🗞 International Journal of Electrical and Computer Engineering (IJECE)
    ISSN: 2088-8708 | DOI: 10.11591/IJECE.V15IL.PP1209-1217 | Vol. 15, No. 1, Feb 2025, pp. 1209–1217

  • Thermodynamic Analysis of a Novel Concentrated Solar Power Plant with Integrated Thermal Energy Storage
    🗞 International Journal of Thermal Science and Engineering Progress
    Manuscript ID: TSEP-0-24-02980R1

  • Chatbot Application Using Artificial Intelligence
    🗞 International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 10 | Issue: 6

  • Clustering in Wireless Sensor Networks: A Review
    🗞 International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 2, 2022

  • Efficient Resource Allocation and Computation Framework for Vehicular Multimedia Cloud Computing
    🗞 International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 9, 2022

  • Model for Fake News Detection Using AI Technique
    🗞 International Journal of Safety and Security Engineering (IJSSE)
    ISSN: 2248-3045 | Volume: 11 | Issue: 9, March 2023

  • Enhancing AES with Key Dependent S-Box and Transpose MDS Matrix
    🗞 International Journal of Innovative Technology and Exploring Engineering (IJITEE)
    ISSN: 2278-3075 | Volume: 11 | Issue: 9, August 2022

  • Engineering Practices and Their Role in Post-Adoption of SCRUM at an Enterprise
    🗞 International Journal of Engineering and Advanced Technology (IJEAT)
    ISSN: 2249-8958 | Volume: 10 | Issue: 2, December 2020

  • Image Steganography Built on Pixel Value Difference in Spatial Domain Using Range
    🗞 International Journal of Engineering and Advanced Technology (IJEAT)
    ISSN: 2249-8958 | Volume: 9 | Issue: 3, February 2020

Conclusion

Dr. B.J. Job Karuna Sagar’s significant contributions to research, academic leadership, and innovation in computer science make him a deserving recipient of the Best Researcher Award. His work reflects excellence, impact, and a strong commitment to advancing knowledge and mentoring future researchers.