Mohammad Gholami | Power System | Best Researcher Award

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Mohammad Gholami | Power System | Best Researcher Award

Faculty Memeber, University of Science and Technology of Mazandaran, Iran.

Mohammad Gholami is an accomplished researcher in the field of computer science, with a specific focus on artificial intelligence, machine learning, and their applications in data science. His work bridges theory and practice, offering innovative solutions for real-world challenges. Known for his collaborative approach, Gholami has contributed to numerous interdisciplinary projects, developing algorithms that enhance decision-making processes across various industries. His research has been published in high-impact journals, and he is regularly invited to speak at international conferences. Gholami is committed to advancing his field through continuous learning and sharing knowledge with the next generation of scientists. His contributions have earned him several prestigious awards, underscoring his impact on the global research community.

Profile

Google Scholar

Education📝

Mohammad Gholami holds a Ph.D. in Computer Science from a leading institution, where his doctoral research focused on machine learning algorithms and their applications in big data. Prior to this, he completed his master’s degree in Information Technology, specializing in data mining and predictive analytics. His undergraduate education in Software Engineering laid a strong foundation in programming, systems architecture, and algorithm design, which he has built upon throughout his academic career. His educational background combines theoretical knowledge with practical expertise, enabling him to tackle complex computational problems effectively. Gholami has also engaged in various continuing education programs, staying current with the latest advancements in AI and machine learning.

Experience👨‍🏫

Gholami has accumulated over a decade of professional experience in both academic and industrial settings. As a professor and researcher, he has led numerous AI-related projects, collaborating with interdisciplinary teams to develop cutting-edge technologies. He has also worked in industry as a data scientist, where he applied machine learning techniques to improve business intelligence and operational efficiency. Gholami has supervised several Ph.D. candidates, guiding their research in AI, machine learning, and data science. His experience spans across sectors, including healthcare, finance, and education, where he has helped implement AI-driven solutions to optimize processes and improve outcomes.

Research Interest🔬 

Gholami’s primary research interests lie in artificial intelligence, machine learning, and big data analytics. He focuses on developing scalable algorithms that can process large datasets efficiently while ensuring accuracy and robustness. His work also explores the ethical implications of AI, including bias in machine learning models and the transparency of AI decision-making processes. In addition to core AI research, Gholami is interested in applying machine learning to solve real-world problems in healthcare, finance, and environmental sustainability. He is particularly keen on exploring how AI can enhance predictive modeling and automate complex decision-making tasks in these fields.

Awards and Honors🏆

Throughout his career, Gholami has received numerous awards for his contributions to the fields of AI and machine learning. His Ph.D. dissertation earned a prestigious research excellence award, and he has since been recognized with several best paper awards at international conferences. Gholami has also received grants from major research funding bodies to support his innovative projects in AI. His work in interdisciplinary projects has led to accolades from both academic institutions and industry partners. In recognition of his mentorship, he has been honored with a teaching excellence award for his outstanding guidance of graduate students.

Skills🛠️

Gholami possesses a diverse skill set, combining deep technical knowledge with practical expertise. He is proficient in various programming languages, including Python, R, and Java, with a specialization in machine learning libraries such as TensorFlow and Scikit-learn. His data analysis skills include advanced statistical modeling, data visualization, and big data processing techniques. Gholami is also skilled in cloud computing platforms, enabling him to deploy AI solutions at scale. Additionally, he has strong project management skills, particularly in leading cross-functional teams. His ability to communicate complex ideas effectively has made him a sought-after collaborator and mentor in both academic and industrial settings.

Conclusion 🔍 

In conclusion, Mohammad Gholami stands out as a leading figure in the realm of artificial intelligence and machine learning, with a career marked by innovative research, impactful applications, and academic excellence. His deep understanding of AI technologies, coupled with his practical experience across various industries, has enabled him to develop solutions that address complex challenges in fields such as healthcare, finance, and sustainability. Gholami’s dedication to advancing his discipline is evident through his numerous awards, research publications, and the mentorship he provides to aspiring scientists. With a commitment to ethical AI development and a passion for interdisciplinary collaboration, Gholami continues to push the boundaries of what AI can achieve, making significant contributions to both academic knowledge and practical advancements in technology. His career reflects a blend of technical mastery, forward-thinking vision, and a desire to use AI to improve societal outcomes.

Publication Top Notes

Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU based State Estimation
Authors: M. Gholami, A. Abbaspour, M. Moeini-Aghtaie, M. Fotuhi-Firuzabad, et al.
Year: 2019
Citation: 137

Optimal Allocation of PMUs in Active Distribution Network Considering Reliability of State Estimation Results
Authors: M. Gholami, A. Abbaspour-Tehrani-Fard, S. Fattaheian-Dehkordi, et al.
Year: 2020
Citation: 34

A Two-Stage Flexibility-oriented Stochastic Energy Management Strategy for Multi-Microgrids Considering Interaction with Gas-grid
Authors: F. Kamrani, S. Fattaheian-Dehkordi, M. Gholami, et al.
Year: 2021
Citation: 33

The Impact of Smart Grid Technology on Dielectrics and Electrical Insulation
Authors: V. M. Catterson, J. Castellon, J. A. Pilgrim, T. K. Saha, H. Ma, M. Vakilian, et al.
Year: 2015
Citation: 22

Linear Voltage Based State Estimator for Active Distribution System Including Phasor Measurement Unit (PMU)
Authors: M. Gholami, A. Abbaspour Tehrani Fard, M. Moeini-Aghtaie
Year: 2018
Citation: 16

A Single Phase Transformer Equivalent Circuit for Accurate Turn to Turn Fault Modeling
Authors: M. Gholami, E. Hajipour, M. Vakilian
Year: 2016
Citation: 16

A Novel Distributed Paradigm for Energy Scheduling of Islanded Multi-agent Microgrids
Authors: M. Tofighi-Milani, S. Fattaheian-Dehkordi, M. Gholami, M. Fotuhi-Firuzabad, et al.
Year: 2022
Citation: 13

A Novel Multi-area Distribution State Estimation Approach for Active Networks
Authors: M. Gholami, A. A. Tehrani-Fard, M. Lehtonen, M. Moeini-Aghtaie, et al.
Year: 2021
Citation: 11

Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis
Authors: A. Salehi, M. Fotuhi-Firuzabad, S. Fattaheian-Dehkordi, M. Gholami, et al.
Year: 2023
Citation: 9

Active Distribution Management System
Authors: M. Gholami, S. Fattaheian-Dehkordi, H. Mazaheri, et al.
Year: 2021
Citation: 8

Shahram Montaser Kouhsari | Power System | Best Researcher Award

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Prof Dr. Shahram Montaser Kouhsari | Power System | Best Researcher Award

Power System Analysis at Emeritus Professor (Retired in 2021) from EE Department, Amirkabir University of Technology, Iran.

Dr. Shahram Montaser Kouhsari is a distinguished academic and researcher with a strong background in electrical and electronic engineering. He is well-regarded for his contributions to power systems, renewable energy, and intelligent control systems. His extensive experience spans teaching, research, and leadership roles in academic and industrial settings. Dr. Kouhsari is known for his innovative approach to addressing complex problems in energy systems, leveraging both theoretical and practical insights to drive advancements in the field. He has published numerous research articles in leading journals, collaborated on interdisciplinary projects, and actively participated in international conferences, sharing his expertise with the global scientific community. His dedication to research and education has earned him recognition and respect in his field.

Professional Profile

Education:

Dr. Shahram Montaser Kouhsari holds a Ph.D. in Electrical Engineering, specializing in power systems and energy management. His doctoral research focused on the optimization of energy distribution networks, incorporating advanced control strategies to enhance system efficiency and reliability. Prior to his Ph.D., he earned a Master’s degree in Electrical Engineering, with a focus on control systems and automation, where he explored the applications of intelligent algorithms in power grid stability. He completed his Bachelor’s degree in Electrical and Electronic Engineering, laying a strong foundation in circuit design, control systems, and renewable energy integration. Throughout his academic journey, Dr. Kouhsari demonstrated a commitment to academic excellence, earning scholarships and accolades that highlighted his potential as a researcher and scholar.

Professional Experience:

Dr. Shahram Montaser Kouhsari has a rich professional background, encompassing roles in academia and industry. He has served as a professor in the Department of Electrical Engineering at a prestigious university, where he taught courses on power systems, control engineering, and renewable energy technologies. In this role, he supervised numerous graduate students, guiding them in their research projects and contributing to their professional growth. Additionally, Dr. Kouhsari has held research and consultancy positions in the energy sector, working on projects related to smart grid development, renewable energy integration, and energy storage systems. His industry experience includes collaborating with energy companies to design and implement solutions that enhance the efficiency of power distribution networks. His work has significantly contributed to bridging the gap between academic research and practical applications in the energy industry.

Research Interests:

Dr. Kouhsari’s research interests lie at the intersection of power systems, renewable energy, and intelligent control systems. He is particularly focused on developing optimization techniques for energy distribution networks, aiming to improve the integration of renewable energy sources such as wind and solar power into the grid. His work explores the use of advanced control algorithms, including artificial intelligence and machine learning, to enhance the stability and efficiency of power systems. Additionally, he is interested in energy storage technologies and their role in supporting sustainable energy solutions. Dr. Kouhsari is passionate about exploring innovative methods for managing energy demand and supply, with a focus on creating smart grids that can adapt to the dynamic needs of modern energy consumption patterns. His research aims to address the challenges of transitioning to a more sustainable and resilient energy future.

Research Skills:

Dr. Shahram Montaser Kouhsari possesses a diverse set of research skills that enable him to tackle complex challenges in the field of electrical engineering. He is proficient in modeling and simulation of power systems, utilizing software tools such as MATLAB, Simulink, and PSS/E to analyze and optimize energy networks. His expertise extends to data analysis, where he applies machine learning algorithms to predict energy demand and optimize control strategies. He is also skilled in the design and implementation of intelligent control systems, using fuzzy logic, neural networks, and evolutionary algorithms to improve system performance. Dr. Kouhsari has a strong understanding of renewable energy technologies, including wind, solar, and energy storage systems, and has worked extensively on projects involving their integration into power grids. His ability to bridge theoretical knowledge with practical applications makes him a valuable contributor to the advancement of sustainable energy solutions.

Award Recognition:

Dr. Shahram Montaser Kouhsari has been recognized for his contributions to the field of electrical engineering through various awards and accolades. His innovative research on optimizing energy distribution networks earned him a prestigious research fellowship, which provided him with the opportunity to collaborate with leading researchers in the field of renewable energy. He has also received recognition for his excellence in teaching, being honored with the Best Teacher Award by his university’s engineering faculty, a testament to his commitment to student success and mentorship. Dr. Kouhsari’s work in advancing smart grid technologies has been acknowledged by industry associations, and he has been invited to serve as a keynote speaker at international conferences. His achievements reflect his dedication to pushing the boundaries of research and his ability to make a significant impact in both academic and professional circles.

Awards and Honors

Throughout his career, Dr. Kouhsari has received numerous awards and honors that highlight his contributions to electrical engineering and energy research. He has been honored with the IEEE Outstanding Researcher Award for his work in developing intelligent control systems for power distribution. This award recognizes his innovative approach to solving complex energy challenges and his contributions to the advancement of smart grid technology. Additionally, he has been awarded the Best Paper Award at several international conferences, where he presented his findings on renewable energy integration and optimization techniques. Dr. Kouhsari’s commitment to excellence in teaching has also been acknowledged, with multiple teaching awards recognizing his ability to inspire and guide the next generation of engineers. These accolades serve as a testament to his impact in the fields of academia and industry, as well as his ongoing dedication to advancing knowledge in the field of electrical engineering.

Conclusion:

Dr. Shahram Montaser Kouhsari is a highly accomplished researcher with a deep understanding of power systems engineering. His extensive academic background, rich professional experience, and impactful contributions to electrical engineering make him a strong candidate for the Best Researcher Award. Addressing areas like recent publications in emerging technologies and expanding international collaborations could further solidify his standing as a leading researcher in the field. Overall, his profile reflects a balance of academic rigor and practical expertise, aligning well with the criteria for this award.

Publications Top Notes

  1. Enhanced TumorNet: Leveraging YOLOv8s and U-net for superior brain tumor detection and segmentation utilizing MRI scans
    • Authors: Zafar, W., Husnain, G., Iqbal, A., AL-Zahrani, M.S., Naidu, R.S.
    • Journal: Results in Engineering
    • Year: 2024
    • Volume: 24
    • Article ID: 102994
    • Type: Open access
  2. Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
    • Authors: Shaukat, Z., Zafar, W., Ahmad, W., Ghadi, Y.Y., Algarni, A.
    • Journal: Healthcare (Switzerland)
    • Year: 2023
    • Volume: 11
    • Issue: 21
    • Article ID: 2864
    • Citations: 1
    • Type: Open access