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 πŸ‡ΊπŸ‡Έ. With a PhD from NTNU πŸ‡³πŸ‡΄ and decades of international experience, he specializes in drilling technologies, wellbore hydraulics, and solids transport. Dr. Ahmed’s innovative research integrates machine learning πŸ€– with traditional engineering principles to solve complex problems in energy systems and well control. A prolific author in top-tier journals πŸ“š, he mentors students across undergraduate and graduate levels while advancing the science of safe, efficient, and sustainable drilling practices πŸŒπŸ›’οΈ.

Professional Profile

SCOPUS

ORCID

Education & ExperienceΒ 

Dr. Ahmed earned his PhD πŸ₯Ό and MSc πŸ“˜ in Petroleum Engineering from NTNU, Norway πŸ‡³πŸ‡΄, after completing a BSc in Chemical Engineering from Addis Ababa University, Ethiopia πŸ‡ͺπŸ‡Ή. He began his career as a Process Engineer 🏭 before moving into academia and consulting. His professional journey includes roles as Research Associate πŸ”¬ and Senior Researcher at the University of Tulsa, and later as a full professor at the University of Oklahoma 🌟. With over three decades of experience in petroleum engineering πŸš›, he has specialized in drilling simulation, cement degradation, and managed pressure drilling with both academic depth and industry insight πŸ› οΈ.

Professional Development

Dr. Ahmed’s professional journey reflects a commitment to continuous growth and knowledge dissemination πŸ“ˆπŸŽ“. He integrates emerging technologies like AI and ML into traditional petroleum engineering systems πŸ€–, reshaping wellbore modeling and failure prediction. As a mentor and educator, he develops next-generation engineers by teaching advanced drilling technologies and simulation methods πŸ‘¨β€πŸ«πŸ› οΈ. He frequently publishes in prestigious journals πŸ“š and collaborates with global experts to tackle real-world drilling challenges πŸŒπŸ”§. His involvement in international research, peer review, and conference presentations 🎀 ensures he stays at the forefront of drilling innovation and professional development.

Research FocusΒ 

Dr. Ahmed’s research centers on drilling engineering, wellbore hydraulics, and multiphase flow systems πŸ›’οΈπŸ”. His interests include cuttings transport, fluid rheology, managed pressure drilling, and well control βš™οΈπŸ’§. 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 πŸ€–πŸ§ͺ. With a focus on simulation, instrumentation, and non-Newtonian fluid mechanics, his work supports safer and more efficient operations in deep and complex wells 🌐. His research bridges traditional petroleum engineering with digital innovation for modern energy solutions βš‘πŸ”¬.

Awards & HonorsΒ 

πŸ† Dr. Ahmed holds the prestigious Mewbourne Chair in Petroleum Engineering at the University of Oklahoma, a recognition of his excellence in research and teaching.
πŸ“š He has published extensively in top journals like SPE Journal, Engineering Failure Analysis, and Geoenergy Science.
🎀 Regularly invited as a conference speaker at global petroleum engineering forums, he shares insights on drilling optimization and digital transformation.
🧠 His work on machine learning in energy systems and wellbore performance has earned peer recognition.
🌟 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
πŸ” 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.
πŸ€–πŸ”§πŸ’₯

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
πŸ” 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.
πŸŒ‹πŸ› οΈπŸŒ‘οΈ

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
πŸ” 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.
πŸ§ͺ🌑️🌫️

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
πŸ” 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.
πŸ”„πŸ›’οΈπŸ”¬

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
πŸ” Summary:
Utilizing ML techniques, this article models the behavior of carbon steel in hydrogen-rich environmentsβ€”specifically necking and deformation before failure. This research is significant for hydrogen pipeline design and safety, offering predictive tools for hydrogen embrittlement mitigation.
πŸ§ βš™οΈπŸ“‰

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
πŸ” 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.
πŸŽ€πŸ“ŠπŸ”

ConclusionΒ 

Dr. Ramadan M. Ahmed stands out as a leading figure in petroleum engineering πŸ›’οΈ, combining academic excellence πŸŽ“, extensive industry experience 🏭, and pioneering research πŸ”¬. His contributions to drilling technology, machine learning applications πŸ€–, and hydrogen pipeline safety πŸ’₯ continue to shape the future of energy engineering. Through teaching, mentorship, and global collaboration 🌍, he exemplifies innovation and leadership in the field. With a strong educational foundation πŸ“š and a forward-thinking research portfolio πŸš€, 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 SahooΒ  is an accomplished Assistant Professor at SR University, Telangana πŸ“. With a strong foundation in Power Electronics ⚑, his research spans microgrids, electric vehicles πŸš—, and digital twin technologies 🌐. He has led government-funded projects at IIT Bhubaneswar and published impactful research with over 750 citations πŸ“ˆ. A passionate academician and innovator, Dr. Sahoo actively contributes to energy system advancements πŸ”‹. He holds a Ph.D. in Power Electronics and Control πŸŽ“ and is committed to solving real-world energy challenges through centralized power management and quality optimization πŸ”Œ.

Professional Profile

ORCID

Education & Experience

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

Professional Development

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

Research Focus

Dr. Sahoo’s research centers on power electronics ⚑, control systems 🧭, and energy management strategies. His expertise includes electric vehicles 🚘, microgrids, digital twins 🌐, and power quality improvement. He aims to develop sustainable and intelligent energy solutions for decentralized and centralized systems 🏘️🏒. Through simulation and experimental techniques, he explores resonant inverter designs and energy optimization in electric infrastructure πŸ”‹. Dr. Sahoo’s multidisciplinary work bridges renewable energy, real-time control, and smart mobility, contributing to the future of clean and efficient power systems πŸŒ±βš™οΈ.

Awards & Honors

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

Publication Top Notes

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

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

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

4.Adaptive Control Scheme for Hybrid Microgrid Resynchronization with Virtual Synchronous Generator and Active Detection Technique
πŸ“… 2024-09 | πŸ“˜ IEEE Transactions on Industry Applications
πŸ”— DOI: 10.1109/TIA.2024.3412048
πŸ‘₯ 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
πŸ“… 2024-06-20 | πŸ“˜ Journal Article, IJEEPS
πŸ”— DOI: 10.1515/ijeeps-2024-0139
πŸ‘₯ 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
πŸ“… 2024-05-21 | πŸ“˜ Book Chapter (Smart Grids as Cyber Physical Systems)
πŸ”— DOI: 10.1002/9781394261727.ch3
πŸ‘₯ Contributors: Pritam Bhowmik, Priya Ranjan Satpathy, Soubhik Bagchi, Buddhadeva Sahoo

7.RS‐11‐I Design and Control of Solar‐Battery‐Based Microgrid System
πŸ“… 2024-05-21 | πŸ“˜ Book Chapter (Smart Grids as Cyber Physical Systems)
πŸ”— DOI: 10.1002/9781394261727.ch2
πŸ‘₯ Contributors: Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Pravat Kumar Rout, Pritam Bhowmik

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

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

10.Eleven-level Cascaded Inverter and Advanced Control Technique for Solar-Battery Operation
πŸ“… 2023-06-09 | πŸ“˜ Conference Paper, APSIT
πŸ”— DOI: 10.1109/apsit58554.2023.10201705
πŸ‘₯ 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.

πŸŽ“ Education:

  • PhD Student – National Research University “Moscow Power Engineering Institute” (MPEI)
  • Bachelor’s Degree – [Specify University & Field if available]

πŸ’Ό Work Experience:

  • Researcher & Academic Contributor πŸ“šπŸ”¬
    • Passionate about academic research and problem-solving
    • Engaged in multiple research projects, especially in the field of climate change
  • Multilingual Professional πŸŒπŸ—£
    • Proficient in international languages, facilitating global research collaborations

πŸ† Achievements & Contributions:

  • Successfully contributed to research projects related to climate change 🌱🌎
  • Overcame academic challenges to pursue a career in research πŸ“ˆπŸ“–
  • Developed a strong international network in academia 🀝

πŸŽ– Awards & Honors:

  • Recognition for dedication to research and innovation πŸ…
  • Contributor to global discussions on climate change and sustainability πŸŒΏπŸ†

PublicationΒ 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 πŸ†

  • NCC β€˜C’ 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 πŸ“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.