danish [at] mdanish.me
Phone
+81 90-2412-8405
Location
Nagoya, Japan
Dr. Danish Mir Sayed Shah, with a rich academic and industry background, seamlessly merges theory with practice in energy, environment, and business. Holding a B.Sc., dual master's, and dual Ph.D., and boasting over 100 publications, he is a cooperative figure in various academic societies.
Research, Experience, and Education
I actively seek collaborations for joint research in Data Science and Machine Learning (algorithms, calculation techniques, etc.), Energy Systems (integrations and optimization). I also welcome invitations for invited keynote speakers, guest lectures, workshops, and academic events. Please reach out for any potential partnership discussions.
"A Strategic-Integrated Approach of Bridging Circular Economy and Artificial Intelligence (AI) for a Sustainable Energy Future"
"A Managed Energy Framework for Least Developed Countries: Resilience to Energy Sustainability"
"Strategic Management: Levelized Approach Ahead of Governance and Leadership"
"An Analysis on Power System Voltage Stability and Load Shedding"
November 03, 2023
AI in Energy: Overcoming Unforeseen Obstacles" was the most downloaded paper in AI 2023, volume 4(2), with 1,122 downloads in the past 6 months. https://doi.org/10.3390/ai4020022
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October 23, 2023
I have been appointed to the Technical Committee for the upcoming CPEEE2024 Conference. This role provides a platform to engage in and direct key academic and professional discussions on global energy and sustainability issues.
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October 18, 2023
The certificate report provides a thorough summary of review contributions, highlighting academic dedication, contribution, and commitment, with acknowledgment that it may not cover all conducted reviews.
Read moreAuthored and Edited Books
Journal Articles
Book Chapters
[17]
Danish, M. S. S., Sabory, N. R., Ahmadi, M., Senjyu, T., Majidi, H., Abdullah, M. A., & Momand, F.
[16]
Danish, M. S. S., Sabory, N. R., Ibrahimi, A. M., Senjyu, T., Ahadi, M. H., & Stanikzai, M. Z.
[3]
Shirzad, H., Amini, A. Z., Qudir, Y., Husssainy, Z., Sabory, N. R., Danish, M. S. S., & Senjyu, T.
[1]
Sufizada, Z., Oryakheill, A. A., Kohnaward, M. H., Fazli, N., Zadran, H., Sabory, N. R., & Danish, M. S. S.
Conference Papers
[17]
Danish, M. S. S., Matayoshi, H., Howlader, H. O. R., Chakraborty, S., Mandal, P., & Senjyu, T.
[14]
Danish, M. S. S., Sabory, N. R., Funabashi, T., Danish, S. M. S., Noorzad, A. S., Yona, A., & Senjyu, T.
[10]
Danish, S. M. S., Zaheb, H., Sabori, N. R., Karimy, H., Faiq, A. B., Fedayi, H., & Senjyu, T.
[09]
Furukakoi, M., Sediqi, M. M., Senjyu, T., Danish, M. S. S., Howlader, A. M., Hassan, M. A. M., & Funabashi, T.
[08]
Howlader, H. O. R., Matayoshi, H., Ibrahimi, A. M., Danish, M. S. S., Senjyu, T., & Saber, A. Y.
[04]
Sagara, M., Shigenobu, R., Adewuyi, O. B., Yona, A., Senjyu, T., Danish, M. S. S., & Funabashi, T.
[02]
Susowake, Y., Ibrahimi, A. M., Danish, M. S. S., Senjyu, T., Howlader, A. M., & Mandal, P.
Theses and Manuals
Other Publications
Will be updated later.
Will be updated later.
Ongoing Research Projects
Title: A Novel Approach for Advancing Carbon Reduction Strategies in Power Plants
Date: 2023 - 2024
Description: This study investigates machine learning applications in energy systems, offering a groundbreaking roadmap to streamline complex optimization processes through systematic approaches. Explores transitions from system parameter modeling to data-driven optimization in more than 40 steps and processes. To validate the methodology, 6 years of combined cycle power plant (CCPP) operation data from Turkey's northwest region were analyzed. An online simulation tool is initiated that evaluates variations in the level of nitrogen oxides (NOx) of the power plant relative to environmental factors and input conditions without performing complex optimal solutions for each scenario. The proposed algorithm minimizes the exhaust pressure of the plant and controls NOx levels in the plant, achieving optimal values of 17.844 (mb) for the exhaust pressure and 78.66 (mg/m³) for NOx. Mathematical modeling and Python code are provided for easy tracking and adoption in various applications, ensuring adequate modeling and fine-tuning with a minimal loss index. This study presents an exhaustive framework for successful deployment of neural networks (NNs), considering impactful factors in detail, and aligning machine learning requirements in practice. Employing the proposed modeling, contributes in pattern identification, high accuracy, and improvement potential, making it a useful tool for forecasting and decision-making in complex energy systems.
Title: Sensitive Buses Identification and Optimization: A Key to Large-Scale Renewable Energy Integration in Power Systems
Date: 2023 - 2025
Description: Adopting an innovative framework, this study transcends traditional weak bus identification, exploring the interplay and causality among buses beyond direct connections. This multidimensional approach enhances system planning and operation by facilitating a comprehensive understanding of system load changes and elucidating the impact of a single bus load alteration across the entire system. This methodology could underpin optimal renewable technology allocation in diverse contexts, promoting holistic system analysis. The research employed a combination of sensitivity and causality analysis to identify the most critical buses in the system, extending the analysis to the entire system rather than just neighboring buses. A web-based simulator was developed to predict the future values of the system's most critical bus, "B03", considering the influence of other impactful buses under two conditions: their value in a previous time period (t-1) and their steady-state value before the simulation. Furthermore, an optimization process was performed to minimize the load on the critical B03 bus. By optimally distributing the load across the system based on the loadability of the entire system, the load at B03 was reduced from an initial 11.12 kWh to 10.83 kWh. The neural network model, with a lower error rate of 3.85%, was more accurate than the baseline model in predicting the load on bus B03. The optimization process further enhanced the system's ability to integrate ...
Title: Scenario-Driven Optimization of Multiple Renewable Energy Source Integration in a Power System to Achieve Net-Zero CO2 Emissions Through Techno-Economic Resiliency Simulations
Date: 2023 - 2024
Description: Integrating renewable energy sources (RES) into power systems presents significant challenges due to their diverse nature and operational characteristics. This study addresses these challenges through an innovative strategy that simulates solar and wind farms, storage systems, fuel cell generators of hydrogen energy (via electrolysis), and hydrogen storage, all governed by an intelligent controller. Alongside a mathematical model defining the system's dynamics, a multi-objective optimization model is employed, exploring the system's operational, financial, and environmental impacts. While the mathematical model has limitations, the advanced model captures the system's dynamic behavior with exceptional precision. This intelligent simulation simplifies the complex interrelationships between various resources in the system, highlighting the viability of RES integration for enhanced benefits. Multi-objective optimization of a real case study of Iowa 240-Bus power system in the Midwest US has resulted in an annual savings of $126,147.8, along with a significant CO2 reduction of 951,035.6 kg compared to the basecase. The total annual energy costs, including capital costs and electricity sales, are reported to be $157,430.4, and the total annual CO2 emissions are -4,453.8 kg. Financial indicators highlight an annual cost reduction of 10.3% and an annual ...
Invited and Keynote Talks
Cutting-Edge Energy Technologies: Addressing Unpredicted Challenges
The International Symposium on New Energy and Environmental Concerns (ISNEC2023)
September 21-22, 2023, Jeju Island, South Korea
An Archetype of the Modern Energy Policies Development: From Anticipation to Reality
The International Conference on Contests for Realization of Global Sustainability (CRGS2022)
March 22-23, 2022, Vancouver, Canada
Return of Energy Conservation at Residential Building by Sustainable Planning, Modeling, and Optimization
The 7th International Conference on Green Energy & Technology (GET2019)
April 08-09, 2019, Zurich, Switzerland
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Recent/Selected Awards and Recognitions
President Award, University of the Ryukyus, Okinawa, Japan, September 2023.
Best Paper Award: International Conference on Contests for Realization of Global Sustainability (CRGS 2022), Simon Fraser University (SFU), BC, Canada, 22-23 Mar 2022. "Danish, M. S. S., Senjyu, T. (2022). An Archetype of the Modern Energy Policies Development: From Anticipation to Reality."
Best Presentation Award: 3rd International Conference on Energy and Environmental Science, Seoul, South Korea, 26-29 January 2019. "Danish, M. S. S., Zaheb, H., Sabori, N. R., Karimy, H., Faiq, A. B., Fedayi, H., & Senjyu, T. (2019). The road ahead for municipal solid waste management in the 21st century: A novel-standardized simulated paradigm."
Fellowship PhD, JSPS (Japan Society for the Promotion of Science), Japan Government, University of the Ryukyus, Okinawa, Japan, February 2015.
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Teaching and Hands-on Experiments with Students
Energy Resources & Technologies - EnE0401 (3 Credits)
Textbook: Andrews, J., & Jelley, N. (2017). Energy Science: Principles, Technologies, and Impacts (3rd edition). Oxford University Press.
Textbook: Andrews, J., & Jelley, N. (2017). Energy Science: Principles, Technologies, and Impacts (3rd edition). Oxford University Press.
Wind and Hydro Energy Conversion - (3 Credits)
Textbook: Leyland, B. (2014). Small Hydroelectric Engineering Practice (1st edition). CRC Press.
Textbook: Leyland, B. (2014). Small Hydroelectric Engineering Practice (1st edition). CRC Press.
Modelling and Optimization of Energy Systems - (3 Credits)
Textbook: Sahin, A. S. (2012). Modeling and Optimization of Renewable Energy Systems (1st edition). IntechOpen.
Textbook: Sahin, A. S. (2012). Modeling and Optimization of Renewable Energy Systems (1st edition). IntechOpen.
Renewable Energy 1 - EnE308 (3 Credits)
Textbook: Hagen, K. (2015). Introduction to Renewable Energy for Engineers (1st edition). Pearson.
Textbook: Hagen, K. (2015). Introduction to Renewable Energy for Engineers (1st edition). Pearson.
Sustainable Energy for Architecture department - EN412 (3 Credits)
Textbook: Various books and resources.
Textbook: Various books and resources.
Energy and Environment Engineering - EnE302 (Credits 4)
Textbook: Ngo, C., & Natowitz, J. (2016). Our Energy Future: Resources, Alternatives and the Environment (2nd edition). Wiley.
Textbook: Ngo, C., & Natowitz, J. (2016). Our Energy Future: Resources, Alternatives and the Environment (2nd edition). Wiley.
Energy Economics - EN305 (Credits 3)
Textbook: Bhattacharyya, S. C. (2019). Energy Economics: Concepts, Issues, Markets and Governance (2nd edition). Springer.
Textbook: Bhattacharyya, S. C. (2019). Energy Economics: Concepts, Issues, Markets and Governance (2nd edition). Springer.
For several years, I have volunteered and taken great pleasure in collaborating with my peers, students, and the broader community.
IEEE – SEIES Founder & Past-Chair, Ryukyus ACM Professional Chapter (2020 to 2022).
Facilitator, Ryukyus IET On Campus Society (2018 to 2021).
Chair and Vice Chair, IEEE Afghanistan Subsection (2016 - 2017).
Power and Energy Committee Chair, IEEE Afghanistan Subsection (2016).
PEACE Alumni Association, JICA - Japan International Cooperation Agency, Senior Board Member (2015-2017).
Oversee 20 teams with the IEEEXtreme team.
Industry Experience
My industry expertise lies in Engineering Design, Planning, and Consultancy.
Engineering Design and Planning Experience
Beginning in 2012, I have spearheaded and autonomously carried out a diverse range of engineering projects, encompassing:
- eNID (electronic National ID) or e-Tazkira Project: Participated as a Design Team Member for Electrical and Mechanical Infrastructures. Ministry of Information Technology and Communication, Kabul, Afghanistan, 2017.
- Rawan 1 & 2 Projects: Responsible for the Electrical and Security Systems' Wiring Design. Grand Technology Resources (GTR), Kabul, Afghanistan, 2016.
- Electrification Plan for City Strategic Development: Ministry of Urban Development and Housing, Kabul, Afghanistan, 2012.
- Afghanistan Financial Management Information System (AFMIS) Data Center: Served as a Design Team Member for Electrical and Mechanical Infrastructures. Ministry of Finance, Kabul, Afghanistan, 2010.
Professional Projects and Experience
- Development of Project Management Procedure & Platform: Position - Project Manager, Duration - 14 months, Financial Support/Donor - Kabul Municipality, Islamic Republic of Afghanistan, Team Size - 10, Budget - 0.4 million USD.
- Development of Project Management Local Certification Platform & 50 Hours Training: Position - Project Manager, Duration - 3 months, Financial Support/Donor - Kabul Municipality, Islamic Republic of Afghanistan, Team Size - 6, Budget - 0.5 million USD.
- eNID (electronic National ID) or e-Tazkira – Afghanistan: Position - Lead Engineer, Duration - 9 months, Financial Support/Donor - Ministry of Information Technology and Communication, Team Size - 4, Budget - 101 million USD.
- Afghanistan Financial Management Information System (AFMIS) Data Center in Ministry of Finance (MoF) – Afghanistan: Duration - 5 months, Financial Support/Donor - Ministry of Finance, Team Size - 4, Budget - 3.95 million USD.
- Afghanistan National Data Center (ANDC): Financial Support/Donor - Ministry of Information Technology and Communication, Team Size - 3.
- Training of Data Center Facilities (Mechanical and Electrical): Position - Trainer, Duration - 2 weeks, Financial Support/Donor - Ministry of Information Technology and Communication (Afghanistan) & GTR Company, Team Size - 2, Budget - Part of eNID project.
Professional Societies Memberships
IEEE Young Professionals
Current Status - Active
Total years - 10
IEEE Power & Energy Society Membership
Current Status - Active
Total years - 8
IEEE Council on RFID
Current Status - Active
Total years - 10
Cloud Computing, IEEE Computer Society Technical Community on
Current Status - Active
Total years - 2
Internet of Things Community, IEEE
Current Status - Active
Total years - 11
Smart Cities Community, IEEE
Current Status - Active
Total years - 10
Sustainable ICT Community, IEEE
Current Status - Active
Total years - 11
IEEE Communications Society
Current Status - Inactive
Total years - 1
IEEE Signal Processing Society Membership
Current Status - Inactive
Total years - 1
Selected photos from events and gatherings that capture memorable moments, reflect vibrant emotions, and underline the essence of every occasion.
What students observe and learn from their lessons and experiences.
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Recent Posts on My Favorite Topics
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Read MoreFeel Free To Contact Me Any Time
Thank you for reaching out! I am always open to research collaboration, assisting peers in my field, and organizing joint events. Please note that my availability is based on my current schedule. I look forward to exploring potential opportunities together.
Phone:
+81 90-2412-8405
Email:
danish [at] mdansh.me
Adress:
Nagoya University, Furocho, Chikusa Ward, Nagoya, Aichi 464-8601, Japan
