Nuttapat Jittratorn | Renewable Energy Technologies | Editorial Board Member

Mr. Nuttapat Jittratorn | Renewable Energy Technologies | Editorial Board Member

National Cheng Kung University | Taiwan

Mr. Nuttapat Jittratorn is a Ph.D. candidate at National Cheng Kung University specializing in energy forecasting, artificial intelligence, and image-based predictive modeling. His research focuses on advanced machine learning frameworks for wind and photovoltaic (PV) power forecasting, contributing to improved accuracy in short-term and ultra-short-term energy predictions. He has authored multiple peer-reviewed publications in high-impact journals, including Q1-ranked outlets, with growing citation impact. His work involves international collaborations and conference contributions (IEEE, IET), addressing challenges in renewable energy integration and smart grid management, thereby supporting sustainable energy systems and enhancing reliability in modern power networks.

Citation Metrics (Scopus)

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๐ŸŸฆ Citations ๐ŸŸฅ Documents ๐ŸŸฉ h-index

View Scopus Profile
ย ย  ย ย  ย View Google Scholar Profile

Featured Publications

A deterministic and probabilistic framework based on corrected wind speed to improve short-term wind power forecasting accuracy.

โ€“ International Journal of Electrical Power & Energy Systems. (2025). Cited By: 7

A hybrid method for hour-ahead PV output forecast with historical data clustering.

– In 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA). (2018). Cited By:ย  5

Deterministic multi-energy load forecasting for integrated energy management system using a random search transformer network.

โ€“ In Proceedings of the 2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1โ€“6). IEEE. (2025) Cited By: 1

Ultrashort-term PV power forecasting based on weather classification and dynamic cloud tracking.

โ€“ In Proceedings of the 2025 IEEE Industry Applications Society Annual Meeting (IAS) (pp. 1โ€“8). IEEE.. (2020). Cited By: 1

 

Hossein Jokar | Energy Systems and Optimization | Best Researcher Award

Dr. Hossein Jokar | Energy Systems and Optimization | Best Researcher Award

Researcher at Shiraz University of Technology, Iran

Dr. Hossein Jokar is an accomplished researcher and electrical engineer specializing in power systems, renewable energy, and smart grid technologies. He successfully completed his postdoctoral research in Electrical Engineering at Shiraz University of Technology . With over years of professional experience in the oil, gas, and petrochemical industries, Dr. Jokar has gained extensive expertise in the design, engineering, implementation, commissioning, and operation of electrical systems for heavy industries. His academic contributions include the publication ofย  Q1-ranked research articles in high-impact international journals, alongside service as a reviewer for six prestigious journals such as Renewable Energy, International Journal of Hydrogen Energy, and IEEE Access. Dr. Jokar has also contributed to academia as a Visiting Professor at Islamic Azad University, Bandar Abbas branch. His career reflects a strong integration of industrial practice with cutting-edge research, establishing him as a recognized figure in energy and power engineering.

Professional Profile

ORCID Profile | Scopus Profile

Educationย 

Dr. Hossein Jokar academic journey is rooted in electrical engineering, with a strong focus on power systems. He began with a Bachelorโ€™s degree in Electrical Engineering from Islamic Azad University, Noorabad Mamsani branch, completed. Building upon this foundation, he pursued a Masterโ€™s degree in Electrical Engineering at Islamic Azad University, Kazerun branch, where he deepened his expertise in power networks and electrical system design. His passion for advanced research led him to earn a Ph.D. in Electrical Engineeringย  at Islamic Azad University, Marvdasht branch, graduating . His doctoral studies focused on optimization and innovation in power systems. To further refine his expertise, he undertook a Postdoctoral fellowship at Shiraz University of Technology, where he conducted specialized research in smart grids, renewable energy, cybersecurity in power networks, and electrical grid optimization, bridging theoretical advancements with industrial applications.

Experienceย 

Dr. Hossein Jokar has over two decades of professional experience in the field of electrical engineering, particularly in heavy industries.ย  he has worked as Electrical Department Manager in an oil company based in Bandar Abbas, Iran, where he has been responsible for the design, engineering, implementation, commissioning, and maintenance of electrical systems for oil, gas, and petrochemical plants. His leadership in managing complex industrial power systems has given him practical expertise in operational efficiency and energy optimization. Alongside his industry role, Dr. Jokar served as a Visiting Professor at Islamic Azad University, Bandar Abbas branchย  where he taught courses in electrical engineering and mentored students in advanced power system studies. This blend of academic and industrial experience makes him uniquely positioned to translate research into practical solutions. His career reflects a balance of applied engineering, teaching, and cutting-edge research in energy systems and smart grids.

Research Interest

Dr. Hossein Jokar research interests lie at the intersection of renewable energy, smart grid systems, cybersecurity, and power system optimization. He is passionate about exploring sustainable energy solutions, focusing on how renewable resources such as solar and wind can be efficiently integrated into national and industrial power grids. His work also addresses the increasing challenges of cybersecurity in power networks, ensuring that modern grids are both resilient and secure against digital threats. Furthermore, he is dedicated to electrical grid optimization, applying advanced methods and data-driven approaches to improve stability, reliability, and efficiency. With an emphasis on practical industrial applications, his research bridges theory and real-world challenges, particularly in heavy industries like oil, gas, and petrochemicals. By combining decades of hands-on engineering experience with academic rigor, Dr. Jokar contributes to developing future-ready power systems that are sustainable, intelligent, and secure for the evolving energy landscape.

Award and Honor

Dr. Hossein Jokar has received recognition for his academic and professional contributions in electrical engineering and power systems. His publication record includes 8 Q1-ranked research papers in prestigious, high-impact international journals, which highlights his dedication to advancing energy and power system research. In addition, his role as a peer reviewer for six leading journals including Renewable Energy, International Journal of Hydrogen Energy, Energy Conversion and Management, Energy Strategy Reviews, International Journal of Electrical Power and Energy Systems, and IEEE Access demonstrates his standing in the scholarly community and commitment to scientific quality. To date, he has reviewed 19 manuscripts, reflecting his expertise and trust within the international academic network. His recognition extends beyond academia, as he has held long-term leadership roles in the oil and energy industry, earning respect for his applied contributions to industrial power system reliability, efficiency, and innovation.

Research Skill

Dr. Hossein Jokar possesses a comprehensive set of research skills in electrical engineering, power systems, and energy technologies. His expertise includes the design and optimization of renewable energy systems, enabling integration of solar and wind resources into power grids with maximum efficiency. He is skilled in smart grid development, applying advanced modeling, automation, and AI-driven solutions to enhance stability and resilience. A critical area of his proficiency lies in cybersecurity for power networks, where he investigates and develops protective strategies against digital threats to energy infrastructure. Additionally, Dr. Jokar is adept in electrical grid optimization, using simulation, computational tools, and practical methodologies to improve system performance, reduce losses, and ensure reliable operation. His experience as both a researcher and an industry professional gives him the unique ability to apply theoretical insights to real-world challenges. These combined skills position him as a valuable contributor to the future of sustainable energy systems.

Publication Top Notes

Title : Adaptive fuzzy global fast terminal sliding mode control of an over-actuated flying robot
Authors: Jokar, H.; Vatankhah, R.
Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
Year: 2020

Title : Dynamic modeling and free vibration analysis of horizontal axis wind turbine blades in the flap-wise direction
Authors: Jokar, H.; Mahzoon, M.; Vatankhah, R.
Journal: Renewable Energy
Year: 2020

Title : Investor sentiment, stock price, and audit quality
Authors: Jokar, H.; Daneshi, V.
Journal: International Journal of Managerial and Financial Accounting
Year: 2020

Title : Micromechanical Modeling of the Effective Mechanical Behavior of Cerebral Cortex Tissue
Authors: Shahsavari, H.; Jokar, H.; Haghighi-yazdi, M.; Baghani, M.; Remond, Y.; George, D.; Mazraehei Farahani, M.; Baniassadi, M.
Journal: Iranian Journal of Science and Technology โ€“ Transactions of Mechanical Engineering
Year: 2020

Title : The Effects of Splinting on the Initial Stability and Displacement Pattern of Periodontio-Integrated Dental Implants: A Finite Element Investigation
Authors: Jokar, H.; Rouhi, G.; Abolfathi, N.
Journal: Journal of Medical and Biological Engineering
Year: 2020

Title : Investor sentiment, stock price and audit quality
Author: Hossein Jokar
Journal: International Journal of Managerial and Financial Accounting
Year: 2020

Title : Discovering determinants of trade credit demand: Evidence from top managers insight
Author: Hossein Jokar
Journal: Cogent Economics & Finance
Year: 2019

Title : A solar pressurizable liquid piston Stirling engine: Part 1, mathematical modeling, simulation and validation
Authors: Motamedi, M.; Ahmadi, R.; Jokar, H.
Journal: Energy
Year: 2018

Title : A solar pressurizable liquid piston Stirling engine: Part 2, optimization and development
Authors: Ahmadi, R.; Jokar, H.; Motamedi, M.
Journal: Energy
Year: 2018

Title : The moderating effect of the type of firmsโ€™ ultimate ownership on the relationship between dividends and earnings quality
Author: Hossein Jokar
Journal: Journal of Accounting Advances
Year: 2018

Title : The impact of investorsโ€™ behavior and managersโ€™ overconfidence on stock return: Evidence from Iran
Author: Hossein Jokar
Journal: Cogent Business & Management
Year: 2018

Title : The Effect of Moderating Audit Quality on Investor Sentiment in Stock Pricing
Author: Hossein Jokar
Journal: Empirical Studies in Financial Accounting Quarterly
Year: 2018

Title : The Mechanism of Analyzing Investorsโ€™ Sentiments and Accounting Information on Stock Market Prices
Author: Hossein Jokar
Journal: Journal Management System
Year: 2018

Title : Investigating the effect of audit quality on the accounting information quality and information uncertainty
Author: Hossein Jokar
Journal: Journal of New Researches in Accounting and Auditing
Year: 2018

Title : Investigating the effect of accounting information quality and information uncertainty on the Investor Sentiment
Author: Hossein Jokar
Journal: Journal of Accounting and Auditing Review
Year: 2018

Conclusion

Dr. Hossein Jokar is a distinguished researcher and industry expert whose career seamlessly bridges academia and practical engineering. With a Ph.D. and postdoctoral research in Electrical Engineering at Shiraz University of Technology, he has established himself as a prolific scholar, publishing over Q1-ranked articles in leading international journals. His multidisciplinary research spans renewable energy systems, smart grids, cybersecurity in power networks, optimization of electrical grids, and advanced control systems.

Ramadan Ahmed | Natural Gas Engineering | Best Researcher Award

Ramadan Ahmed | Natural Gas Engineering | Best Researcher Award

Professor , University of Oklahoma , United States

Dr. Ramadan Ahmed is a distinguished professor and Mewbourne Chair in Petroleum Engineering at the University of Oklahoma ๐Ÿ‡บ๐Ÿ‡ธ. With a PhD from NTNU ๐Ÿ‡ณ๐Ÿ‡ด and decades of international experience, he specializes in drilling technologies, wellbore hydraulics, and solids transport. Dr. Ahmed’s innovative research integrates machine learning ๐Ÿค– with traditional engineering principles to solve complex problems in energy systems and well control. A prolific author in top-tier journals ๐Ÿ“š, he mentors students across undergraduate and graduate levels while advancing the science of safe, efficient, and sustainable drilling practices ๐ŸŒ๐Ÿ›ข๏ธ.

Professional Profile

SCOPUS

ORCID

Education & Experienceย 

Dr. Ahmed earned his PhD ๐Ÿฅผ and MSc ๐Ÿ“˜ in Petroleum Engineering from NTNU, Norway ๐Ÿ‡ณ๐Ÿ‡ด, after completing a BSc in Chemical Engineering from Addis Ababa University, Ethiopia ๐Ÿ‡ช๐Ÿ‡น. He began his career as a Process Engineer ๐Ÿญ before moving into academia and consulting. His professional journey includes roles as Research Associate ๐Ÿ”ฌ and Senior Researcher at the University of Tulsa, and later as a full professor at the University of Oklahoma ๐ŸŒŸ. With over three decades of experience in petroleum engineering ๐Ÿš›, he has specialized in drilling simulation, cement degradation, and managed pressure drilling with both academic depth and industry insight ๐Ÿ› ๏ธ.

Professional Development

Dr. Ahmedโ€™s professional journey reflects a commitment to continuous growth and knowledge dissemination ๐Ÿ“ˆ๐ŸŽ“. He integrates emerging technologies like AI and ML into traditional petroleum engineering systems ๐Ÿค–, reshaping wellbore modeling and failure prediction. As a mentor and educator, he develops next-generation engineers by teaching advanced drilling technologies and simulation methods ๐Ÿ‘จโ€๐Ÿซ๐Ÿ› ๏ธ. He frequently publishes in prestigious journals ๐Ÿ“š and collaborates with global experts to tackle real-world drilling challenges ๐ŸŒ๐Ÿ”ง. His involvement in international research, peer review, and conference presentations ๐ŸŽค ensures he stays at the forefront of drilling innovation and professional development.

Research Focusย 

Dr. Ahmedโ€™s research centers on drilling engineering, wellbore hydraulics, and multiphase flow systems ๐Ÿ›ข๏ธ๐Ÿ”. His interests include cuttings transport, fluid rheology, managed pressure drilling, and well control โš™๏ธ๐Ÿ’ง. He also explores the integration of machine learning in predictive modeling, such as fatigue analysis of hydrogen pipelines and the degradation of cement and tubulars ๐Ÿค–๐Ÿงช. With a focus on simulation, instrumentation, and non-Newtonian fluid mechanics, his work supports safer and more efficient operations in deep and complex wells ๐ŸŒ. His research bridges traditional petroleum engineering with digital innovation for modern energy solutions โšก๐Ÿ”ฌ.

Awards & Honorsย 

๐Ÿ† Dr. Ahmed holds the prestigious Mewbourne Chair in Petroleum Engineering at the University of Oklahoma, a recognition of his excellence in research and teaching.
๐Ÿ“š He has published extensively in top journals like SPE Journal, Engineering Failure Analysis, and Geoenergy Science.
๐ŸŽค Regularly invited as a conference speaker at global petroleum engineering forums, he shares insights on drilling optimization and digital transformation.
๐Ÿง  His work on machine learning in energy systems and wellbore performance has earned peer recognition.
๐ŸŒŸ A global thought leader, Dr. Ahmed continues to shape the future of drilling engineering and sustainability.

Publication Top Notes

1. Novel Machine Learning Modeling Approach for Fatigue Failure of Hydrogen-Transporting Pipelines

Authors: Nayem Ahmed, Ramadan M. Ahmed, Catalin Teodoriu, Michael Gyaabeng
Journal: SPE Journal | Year: 2025 | Citations: 0
๐Ÿ” Summary:
This study introduces a novel machine learning (ML) framework for predicting fatigue failure in pipelines used for transporting hydrogen. The model leverages large-scale data and advanced feature selection techniques to evaluate pipeline structural integrity under cyclic stress. This approach significantly improves predictive accuracy and provides a safer, data-driven alternative to traditional fatigue analysis in hydrogen energy systems.
๐Ÿค–๐Ÿ”ง๐Ÿ’ฅ

2. Optimization of Radial Jet Drilling for Hard Formations Present in Deep Geothermal Wells

Authors: Ramadan M. Ahmed, Catalin Teodoriu
Journal: Geoenergy Science and Engineering | Year: 2024 | Citations: 2
๐Ÿ” Summary:
The paper explores the enhancement of radial jet drilling (RJD) in hard rock formations typically encountered in deep geothermal wells. Through experimental and computational analysis, the authors present techniques for improving nozzle efficiency, optimizing jet parameters, and reducing energy consumption. The study supports geothermal energy advancement by offering cost-effective drilling alternatives.
๐ŸŒ‹๐Ÿ› ๏ธ๐ŸŒก๏ธ

3. Effects of Clay Contamination on the Stability of Aqueous Foams at High Pressure

Authors: Oyindamola Obisesan, Ramadan M. Ahmed, Nayem Ahmed, Mahmood Amani
Journal: SPE Journal | Year: 2024 | Citations: 1
๐Ÿ” Summary:
This research examines how clay particles affect the structural stability and performance of aqueous foam systems under high-pressure conditions. The findings are vital for operations in managed pressure drilling and underbalanced drilling, where foam stability plays a crucial role in maintaining well control and cuttings transport efficiency.
๐Ÿงช๐ŸŒก๏ธ๐ŸŒซ๏ธ

4. Effects of Pipe Rotation on the Performance of Fibrous Water-Based Polymeric Fluids in Horizontal Well Cleanout

Authors: Sergio P. Garcia, Michael Mendez, Ramadan M. Ahmed, Mustafa S. Nasser, Ibnelwaleed A. Hussein
Journal: SPE Journal | Year: 2024 | Citations: 1
๐Ÿ” Summary:
This paper investigates the influence of pipe rotation on the performance of fibrous polymeric drilling fluids used during horizontal well cleanout. The study demonstrates that rotational motion enhances the fluid’s carrying capacity and improves debris transport efficiency in horizontal and deviated wellbores.
๐Ÿ”„๐Ÿ›ข๏ธ๐Ÿ”ฌ

5. Modeling of Necking Area Reduction of Carbon Steel in Hydrogen Environment Using Machine Learning Approach

Authors: Nayem Ahmed, Mohamed Aldaw, Ramadan M. Ahmed, Catalin Teodoriu
Journal: Engineering Failure Analysis | Year: 2024 | Citations: 6
๐Ÿ” Summary:
Utilizing ML techniques, this article models the behavior of carbon steel in hydrogen-rich environmentsโ€”specifically necking and deformation before failure. This research is significant for hydrogen pipeline design and safety, offering predictive tools for hydrogen embrittlement mitigation.
๐Ÿง โš™๏ธ๐Ÿ“‰

6. Conference Paper: Novel ML Modeling Approach for Fatigue Failure of Hydrogen-Transporting Pipelines

Authors: Nayem Ahmed, Ramadan M. Ahmed, Catalin Teodoriu, Michael Gyaabeng
Conference Paper | Year: 2025 | Citations: 0
๐Ÿ” Summary:
A conference version of the journal article listed above, this paper presents the methodology and preliminary findings for the machine learning framework developed to predict fatigue in hydrogen-transporting pipelines.
๐ŸŽค๐Ÿ“Š๐Ÿ”

Conclusionย 

Dr. Ramadan M. Ahmed stands out as a leading figure in petroleum engineering ๐Ÿ›ข๏ธ, combining academic excellence ๐ŸŽ“, extensive industry experience ๐Ÿญ, and pioneering research ๐Ÿ”ฌ. His contributions to drilling technology, machine learning applications ๐Ÿค–, and hydrogen pipeline safety ๐Ÿ’ฅ continue to shape the future of energy engineering. Through teaching, mentorship, and global collaboration ๐ŸŒ, he exemplifies innovation and leadership in the field. With a strong educational foundation ๐Ÿ“š and a forward-thinking research portfolio ๐Ÿš€, Dr. Ahmed remains a driving force in solving critical challenges in drilling and wellbore management technologies.

 

 

 

 

Buddhadeva Sahoo | Power Electronics | Best Researcher Award

Dr. Buddhadeva Sahoo | Power Electronics | Best Researcher Award

Assistant Professor , SR University , India

Dr. Buddhadeva Sahooย  is an accomplished Assistant Professor at SR University, Telangana ๐Ÿ“. With a strong foundation in Power Electronics โšก, his research spans microgrids, electric vehicles ๐Ÿš—, and digital twin technologies ๐ŸŒ. He has led government-funded projects at IIT Bhubaneswar and published impactful research with over 750 citations ๐Ÿ“ˆ. A passionate academician and innovator, Dr. Sahoo actively contributes to energy system advancements ๐Ÿ”‹. He holds a Ph.D. in Power Electronics and Control ๐ŸŽ“ and is committed to solving real-world energy challenges through centralized power management and quality optimization ๐Ÿ”Œ.

Professional Profile

ORCID

Education & Experience

Dr. Sahoo earned his B.Tech (2014) and M.Tech (2016) in Electrical Engineering and Power Electronics ๐ŸŽ“ from Biju Patnaik University. He completed his Ph.D. in Power Electronics and Control from Siksha O Anusandhan University in 2021 ๐Ÿ“˜. With over 7 years of academic and research experience ๐Ÿง‘โ€๐Ÿซ, he served at the Silicon Institute of Technology, conducted SERB-funded research at IIT Bhubaneswar, and currently teaches at SR University ๐Ÿ“. His career reflects continuous growth in education and innovation, with a focus on mentoring future engineers ๐Ÿš€

Professional Development

Dr. Sahoo has continually advanced professionally through prestigious fellowships and research positions ๐Ÿงช. He served as a SERB National Post-Doctoral Fellow at IIT Bhubaneswar ๐Ÿ”ฌ, leading projects on hybrid microgrid control. He has also guided various academic and research programs ๐Ÿง  and built a portfolio of high-impact publications and collaborations. His professional journey showcases dedication to sustainable energy, smart grid technology ๐Ÿ’ก, and power quality management. He is active in conferences, paper reviewing, and professional networking for continuous learning and contribution ๐ŸŒ๐Ÿ“š.

Research Focus

Dr. Sahooโ€™s research centers on power electronics โšก, control systems ๐Ÿงญ, and energy management strategies. His expertise includes electric vehicles ๐Ÿš˜, microgrids, digital twins ๐ŸŒ, and power quality improvement. He aims to develop sustainable and intelligent energy solutions for decentralized and centralized systems ๐Ÿ˜๏ธ๐Ÿข. Through simulation and experimental techniques, he explores resonant inverter designs and energy optimization in electric infrastructure ๐Ÿ”‹. Dr. Sahooโ€™s multidisciplinary work bridges renewable energy, real-time control, and smart mobility, contributing to the future of clean and efficient power systems ๐ŸŒฑโš™๏ธ.

Awards & Honors

Dr. Sahoo has earned several prestigious accolades ๐Ÿ… including the SERB National Post-Doctoral Fellowship (2022) and CSIR-SRF (2021) for his excellence in Electrical Engineering โšก. He received the BPUT Research Award and IEI-Institution Awards (2020, 2025) for significant contributions to electrical research ๐Ÿ“Š. Honored with the Abel Wolman Award (2024) for pollution awareness ๐ŸŒ and the Madhusudhan Award (2021) for rural electrification โšก๐Ÿž๏ธ, his work is widely recognized at national and state levels. These awards reflect his dedication to innovation, societal impact, and academic excellence ๐Ÿ“˜โœจ.\

Publication Top Notes

1. A Review on Digital Twin Integration in Hybrid Microgrids: Challenges, Opportunities, and Innovations
๐Ÿ“… 2025-02-21 | ๐Ÿ“˜ Conference Paper
๐Ÿ”— DOI: 10.1109/ICIDeA64800.2025.10963330
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray

2.Enhanced Power Quality with PV-Driven Active Power Filter in Two-Area Applications
๐Ÿ“… 2025-02-21 | ๐Ÿ“˜ Conference Paper
๐Ÿ”— DOI: 10.1109/ICIDeA64800.2025.10963112
๐Ÿ‘ฅ Contributor: Buddhadeva Sahoo

3.Harmonized Control Framework for Integrated Hybrid Microgrid and Virtual Power Plant Operation
๐Ÿ“… 2024-11 | ๐Ÿ“˜ Journal Article, Electric Power Systems Research
๐Ÿ”— DOI: 10.1016/j.epsr.2024.110936
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray

4.Adaptive Control Scheme for Hybrid Microgrid Resynchronization with Virtual Synchronous Generator and Active Detection Technique
๐Ÿ“… 2024-09 | ๐Ÿ“˜ IEEE Transactions on Industry Applications
๐Ÿ”— DOI: 10.1109/TIA.2024.3412048
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout

5.Dual Grid Energy Management Strategy for Electric Vehicles in Hybrid Microgrid Utilizing Matrix Pencil Method
๐Ÿ“… 2024-06-20 | ๐Ÿ“˜ Journal Article, IJEEPS
๐Ÿ”— DOI: 10.1515/ijeeps-2024-0139
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat K. Rout, Gayadhar Panda

6.A Novel Concept of Hybrid Storage Integrated Smart Grid System with Integrated SoC Management Scheme
๐Ÿ“… 2024-05-21 | ๐Ÿ“˜ Book Chapter (Smart Grids as Cyber Physical Systems)
๐Ÿ”— DOI: 10.1002/9781394261727.ch3
๐Ÿ‘ฅ Contributors: Pritam Bhowmik, Priya Ranjan Satpathy, Soubhik Bagchi, Buddhadeva Sahoo

7.RSโ€11โ€I Design and Control of Solarโ€Batteryโ€Based Microgrid System
๐Ÿ“… 2024-05-21 | ๐Ÿ“˜ Book Chapter (Smart Grids as Cyber Physical Systems)
๐Ÿ”— DOI: 10.1002/9781394261727.ch2
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout, Pritam Bhowmik

8.Novel Instantaneous Power Control Scheme for Hybrid Microgrid Application
๐Ÿ“… 2023-09-25 | ๐Ÿ“˜ Conference Paper, AUPEC
๐Ÿ”— DOI: 10.1109/aupec59354.2023.10502991
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout

9.Adaptive Coordinated Control Technique for Intelligent Micro-grid
๐Ÿ“… 2023-08-09 | ๐Ÿ“˜ Conference Paper, IEEE SEFET
๐Ÿ”— DOI: 10.1109/sefet57834.2023.10245071
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout

10.Eleven-level Cascaded Inverter and Advanced Control Technique for Solar-Battery Operation
๐Ÿ“… 2023-06-09 | ๐Ÿ“˜ Conference Paper, APSIT
๐Ÿ”— DOI: 10.1109/apsit58554.2023.10201705
๐Ÿ‘ฅ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout, Sangram Keshari Routray

Conclusion

Dr. Buddhadeva Sahoo is an excellent candidate for the Best Researcher Award. His impactful and innovative contributions, particularly in the domain of hybrid microgrid control, energy systems optimization, and smart grid technologies, demonstrate his dedication to solving critical energy challenges through cutting-edge research.

He not only advances academic knowledge but also aligns his work with global energy sustainability goals, making him deserving of recognition at the highest level.

Ms. Zahra Pezeshki | Electric Power | Best Researcher Award

Ms. Zahra Pezeshki | Electric Power | Best Researcher Award

Ms. Zahra Pezeshki, National Research University “Moscow Power Engineering Institute”, Russia

Zahra Pezeshki is a PhD student at the National Research University “Moscow Power Engineering Institute.” With a strong passion for academic research, she has overcome initial challenges in her studies, continuously striving for excellence. Her dedication to scientific inquiry drives her to engage in extensive research projects, always aiming to think globally. In addition to her academic pursuits, she has invested time in learning international languages. Deeply concerned about global issues, she is particularly passionate about climate change. Zahra values diversity and respects all races and ethnicities, embracing a broad, inclusive perspective in both her research and personal outlook.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award:

Zahra Pezeshki demonstrates a strong commitment to academic research, overcoming early challenges to establish herself as a dedicated scholar. Her research focuses on critical topics such as Building Information Modeling (BIM), Building Energy Modeling (BEM), artificial intelligence applications in thermal energy optimization, and climate change concerns. With multiple high-impact publications in reputable journals and a global research perspective, she has significantly contributed to the field of engineering and sustainable development. Given her dedication, productivity, and impact in the research community, she is a strong candidate for the Best Researcher Award.

๐ŸŽ“ Education:

  • PhD Student โ€“ National Research University “Moscow Power Engineering Institute” (MPEI)
  • Bachelorโ€™s Degree โ€“ [Specify University & Field if available]

๐Ÿ’ผ Work Experience:

  • Researcher & Academic Contributor ๐Ÿ“š๐Ÿ”ฌ
    • Passionate about academic research and problem-solving
    • Engaged in multiple research projects, especially in the field of climate change
  • Multilingual Professional ๐ŸŒ๐Ÿ—ฃ
    • Proficient in international languages, facilitating global research collaborations

๐Ÿ† Achievements & Contributions:

  • Successfully contributed to research projects related to climate change ๐ŸŒฑ๐ŸŒŽ
  • Overcame academic challenges to pursue a career in research ๐Ÿ“ˆ๐Ÿ“–
  • Developed a strong international network in academia ๐Ÿค

๐ŸŽ– Awards & Honors:

  • Recognition for dedication to research and innovation ๐Ÿ…
  • Contributor to global discussions on climate change and sustainability ๐ŸŒฟ๐Ÿ†

Publicationย Top Notes:

Applications of BIM: a brief review and future outline

CITED:135

Application of BEM and using BIM database for BEM: A review

CITED:128

Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey

CITED:102

Thermal transport in: Building materials

CITED:51

Rechargeable Batteries: History, Progress, and Applications

CITED:37

 

Mr Deepanshu Awasthi | Bioenergy | Best Researcher Award | 1134

Mr Deepanshu Awasthi | Bioenergy | Best Researcher Award

Research Scholar at Panjab University , India

Deepanshu Awasthi is a dedicated researcher specializing in bio-energy and chemical engineering. Currently pursuing a PhD at Panjab University, he focuses on biomass densification and catalytic gasification. With a strong academic background and diverse practical experience, Deepanshu aims to innovate sustainable energy solutions.

Profile

google scholar

Education

    • Ph.D. in Chemical Engineering (Ongoing)
      Dr. S.S.B.U.I.C.E.T., Panjab University, Chandigarh
      Thesis Topic: Investigation on Biomass Densification using Binders for Catalytic Gasification
    • M.Tech in Nanoscience and Nanotechnology (2020 – 2022)
      UIEAST, Panjab University, Chandigarh
      Thesis: Studies on Impact of Nanocatalyst on Production and Physicochemical Characteristics of Vegetable Oil-based Biofuels
    • B.Tech in Chemical Engineering (2016 – 2020)
      Beant College of Engineering and Technology, Gurdaspur, Punjab

Academic Background

Mr. Deepanshu Awasthi is an emerging researcher in the field of bioenergy. He began his educational journey at Rainbow International School, where he excelled in his studies, achieving a 9.8 CGPA in his matriculation. He pursued a Bachelor of Technology (B.Tech) in Chemical Engineering at Beant College of Engineering and Technology, graduating with a CGPA of 7.39. Deepanshu furthered his studies by completing a Master of Technology (M.Tech) in Nanoscience and Nanotechnology at the University Institute of Engineering and Technology (UIEAST), Panjab University, with a notable score of 78.40%.

Currently, he is a Ph.D. candidate at Dr. S.S.B.U.I.C.E.T., Panjab University, specializing in Chemical Engineering with a focus on bioenergy. His doctoral research explores “Investigation on Biomass Densification using Binders for Catalytic Gasification.”

Professional Experience

Deepanshu has been serving as a Junior Research Fellow at the Sardar Swaran Singh National Institute of Bio-Energy (SSS NIBE) in Kapurthala, Punjab, since July 2022. His work involves:

  • Conducting research in the Thermochemical Conversion Division.
  • Collaborating on the SAGE 2.0 Project with the Pacific Northwest National Laboratory (PNNL), focusing on biohydrogen production.
  • Engaging in various projects related to biofuels and biomass conversion processes.

Research Interests

Mr. Awasthi’s research interests lie at the intersection of chemical engineering and sustainable energy solutions. Key areas of focus include:

  • Biomass densification and gasification processes.
  • Development of nanocatalysts for biodiesel production.
  • Optimization of biofuel production techniques from diverse feedstocks.

His work aims to contribute to the advancement of renewable energy technologies and the effective utilization of biomass resources.

Achievements

  • Publications: Deepanshu has authored several research papers in reputable journals, contributing to the fields of bioenergy and nanotechnology.
  • Presentations: He has presented his research at international conferences, receiving accolades such as Best Poster Presentation at the 4th International Conference on Recent Advances in Bio-Energy Research.
  • Leadership: He served as Vice President of the Society for Chemical Engineers (ChES) during his academic tenure.

Awards ๐Ÿ†

  • NCC โ€˜Cโ€™ Certificate (Army Wing)
  • Silver Medal at IKGPTU Inter College Kabaddi Tournament
  • Best Poster Presentation at the 4th International Conference on Recent Advances in Bio-Energy Research, 2023

Publications ๐Ÿ“š

  1. Awasthi, D., Guchhait, S.K., Sarma, A.K., & Bajaj, B. (2023). Synthesis and application of Quintinite-3T nano catalyst along with KOH for biodiesel production from Jatropha curcas oil and used cooking oil. Chemical Engineering Communications. I.F. 1.9
  2. Awasthi, D., Datta, A., & Gakkhar, N. (2023). Theoretical process design of a gasifier using mixed biomass variety. Materials Today: Proceedings.
  3. Awasthi, D., & Bajaj, B. (2024). Influence of rice straw based nanocellulose loading in sodium carboxymethyl cellulose. Materials Today: Proceedings.
  4. Saraswat, S.K., Datta, A., & Awasthi, D. (2024). Development of ASPEN Plus Model for Assessment of Surplus Biomass Power Potential in Northern India. From Waste to Wealth, Springer Nature Singapore.
  5. Suman, A., Awasthi, D., Gakkhar, N., & Bajaj, B. (2024). Role of Pretreatment Approaches to Generate Value-Added Products Using Agriculture Biomass. Valorization of Biomass Wastes for Environmental Sustainability, Springer Nature Switzerland.
  6. Awasthi, D., et al. (2023). Nanofillers in Additives for Oils, Lubricants, and Fuels Industry. Handbook of Nanofillers, Springer Nature Singapore.