Ms. Aayesha Ahmad | Energy | Best Researcher Award

Ms. Aayesha Ahmad | Energy | Best Researcher Award

Indian Institute of Technology Delhi, India.

Aayesha Sabih Ahmad is a dedicated research scholar at the Indian Institute of Technology (IIT) Delhi, specializing in energy systems optimization and financial modeling of photovoltaic-battery energy storage systems (PV-BESS). With a strong background in electrical engineering and extensive teaching experience, Aayesha aims to contribute to policy frameworks promoting renewable energy adoption and sustainability.

Profile

Orcid

Education πŸŽ“

Aayesha Sabih Ahmad is currently a research scholar at the Centre for Sensors, Instrumentation, and Cyber Physical Systems Engineering, IIT Delhi, where she has been pursuing her Ph.D. since February 2021. Under the guidance of Prof. Sumit K. Chattopadhyay and Prof. B.K. Panigrahi, she focuses on decentralized energy systems and renewable energy optimization. She has also completed coursework in decentralized energy systems, instrumentation design, and research writing.

She earned her Master of Engineering (M.E.) in Electrical Engineering (Power Systems) from BIT Mesra in 2013 with a CGPA of 8.21/10 and her Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from the same institution in 2011, graduating with a CGPA of 7.56/10. Both degrees have provided her with a strong foundation in electrical engineering, energy systems, and power distribution.

Experience πŸ’Ό

Aayesha Sabih Ahmad has valuable teaching experience as a Part-Time Lecturer at Al Kabir Polytechnic, Jamshedpur (2015–2019), where she delivered lectures and supervised laboratory sessions for courses such as Basic Electrical Engineering, Power Transmission & Distribution, and Power Systems. Her role involved mentoring students and ensuring practical knowledge transfer through hands-on lab experiments.

Additionally, she served as a Visiting Professor at NIT Patna in 2013, where she taught advanced courses on Protection of Power Apparatus and Systems and Power Electronics (Lab). This brief yet significant academic engagement enriched her expertise in power systems and electronic applications, reinforcing her passion for teaching and research.

Research Interests πŸ”

Cost-benefit analysis and financial modeling of photovoltaic-battery energy storage systems (PV-BESS).

Optimization of energy resources for enhanced cost efficiency.

Policy frameworks for renewable energy adoption.

Role of PV-BESS in achieving energy sustainability.

Honors and Awards πŸ†

Research Scholar Fellowship (JRF/SRF) (Feb 2021 – Present)

Graduate Aptitude Test in Engineering (GATE) – All India Rank 6041 (March 2011)

All India Engineering Entrance Examinations (AIEEE) – All India Rank 19,626 (March 2007)

Publications πŸ“š

A Quantitative Assessment of the Economic Viability of Photovoltaic Battery Energy Storage Systems, A.S. Ahmad, S.K. Chattopadhyay, B.K. Panigrahi, Energies 2024, 17, 6279,. Link

Defect Analysis of Thin Film CTGS-based Solar Cells for Performance Optimization, A.S. Ahmad, B.S. Sengar, A. Kumar, 2020 5th IEEE International Conference on Emerging Electronics (ICEE), New Delhi,. Link

 

 

Dr. Yongcaho Xue | Petroleum Engineering | Best Researcher Award

Dr. Yongcaho Xue | Petroleum Engineering | Best Researcher Award

China University of Petroleum (Beijing), China

Xue Yongchao (Ph.D.) is a professor at the Department of Petroleum Engineering, China University of Petroleum (Beijing). With over two decades of academic and research experience, he specializes in stochastic modeling, reservoir characterization, and petroleum engineering. He has contributed significantly to advancements in low-permeability reservoirs and heavy oil thermal recovery.

Profile

Scopus

Education πŸŽ“

Dr. Xue Yongchao holds a Ph.D. in Petroleum Engineering from the China University of Petroleum (2004), showcasing his advanced expertise in the field. He also earned an M.S. in Mechanical Engineering from Northeast Petroleum University (2001) and a B.S. in Petroleum Engineering from the same institution (1994), solidifying his strong foundation in both petroleum and mechanical engineering disciplines. His diverse academic background enables him to bridge theoretical knowledge with practical applications in petroleum engineering.

Experience πŸ’Ό

Dr. Xue Yongchao has an impressive career in academia and research. Since 2015, he has been serving as a Professor in the Department of Petroleum Engineering at China University of Petroleum-Beijing, where he leads cutting-edge research and teaches advanced courses. From 2010 to 2011, he was a Visiting Scholar at Texas A&M University, USA, where he collaborated on international projects and expanded his global expertise. Prior to his professorship, he worked as a Lecturer at the same university from 2004 to 2015, building a solid foundation in teaching and research.

Research Interests πŸ”¬

Stochastic Modeling πŸ”

Dr. Xue specializes in stochastic modeling, employing advanced probabilistic methods to analyze and predict complex reservoir behaviors, enabling more accurate forecasting and decision-making in petroleum engineering.

Reservoir Characterization πŸ›’οΈ

His expertise in reservoir characterization focuses on understanding the physical and geological properties of reservoirs, ensuring efficient exploration and extraction strategies.

Geology and Development of Oil & Gas Fields 🌍

Dr. Xue contributes to the study and teaching of oil and gas field development, integrating geological insights with engineering principles to optimize resource utilization and sustainability.

Awards πŸ†

2017: Second Prize, Science and Technology Progress of Ministry of Education, for "The new theory and application of heavy oil multi-medium thermal development."

2012: First Prize, Teaching Achievements, China University of Petroleum (Beijing), for "Advanced Mechanics of Fluids in Porous Media" course system construction.

2010: First Prize, Science and Technology Progress of China Petroleum and Chemical Industry Association, for "Non-linear seepage and development technology of ultra-low permeability reservoirs."

Selected Publications πŸ“š

Probabilistic performance forecasting in history matching of low-permeability reservoirs, SPE-188100-MS (2017). Link

A new fracture prediction method by combining genetic algorithm with neural network in low permeability reservoirs, Journal of Petroleum Science and Engineering (2014). Cited by: 68 articles. Link

The influence of interlayer of bottom water reservoirs during development stage, Petroleum Science and Technology (2013). Link

Experimental comparison study of stress sensitivity at different levels of permeability core, Advanced Materials Research (2012). Link

An Integrated Method of Data-Driven and Water-Drive Mechanism for Oil Production Forecast in High Water Cut Reservoir, Link