Monir Ashrafi | Data Analysis Innovation | Best Researcher Award

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Ms. Monir Ashrafi, Data Analysis Innovation, Best Researcher Award

Ms. Monir Ashrafi at Sharif University of Technology, France

Professional Profile:

Scopus Profile

Professional Summary:

A dedicated Ph.D. candidate with extensive practical and technical experience in Power System Engineering, focusing on the advancement, modernization, and decarbonization of power distribution systems. Seeking collaborative opportunities with research groups to enhance professional knowledge and contribute to innovative energy solutions.

Education:

Ms. Monir Ashrafi is currently pursuing a Ph.D. in Power System Engineering at both the University of Grenoble Alpes, France, and Sharif University of Technology, Iran. At the University of Grenoble Alpes, under the supervision of Seddik Bacha and advisor Raphael Cairo, he began his studies in January 2023. Concurrently, since September 2019, he has been working towards his Ph.D. at Sharif University of Technology, Iran’s top-ranking institution, with guidance from Ali Abbaspour and advisor Mahmud Fotuhi-Firuzabad. His doctoral research focuses on “The Management of Peer-to-Peer Energy Sharing in Active Distribution Network,” demonstrating his commitment to advancing sustainable energy solutions.

Prior to his Ph.D. studies, Monir earned a Master of Science in Electrical Engineering, specializing in Power System Engineering, from Shahrood University of Technology, Iran, in June 2017. His master’s thesis, titled “Power Sharing in Microgrids using Virtual Impedance,” earned him top 10% honors with a GPA of 17.93. He also holds a Bachelor of Science in Electrical Engineering from the same university, completed in August 2014, where he investigated “The Investigation of DFIGs” for his thesis and graduated in the top 25% of his class with a GPA of 16.34. Monir’s educational journey began at Bentolhoda High School in Shahrood, Iran, where he excelled in Mathematics and Physics, graduating with a GPA of 19.24, placing him in the top 1% of his program.

Professional Experience:

Ms. Monir Ashrafi has accumulated extensive experience in various roles within the power distribution sector. As a Grid Studies Expert at the Power Distribution Company in Tehran Province, Iran (December 2020 – December 2022), Monir conducted in-depth analyses and advanced grid modeling techniques to enhance the operational efficiency and reliability of power distribution networks. This role involved close collaboration with cross-functional teams to improve grid performance and resilience. Prior to this, Monir worked as a GIS Expert at the Power Distribution Company in Semnan Province, Iran (September 2018 – August 2019), where he developed and maintained Geographic Information Systems (GIS) for power distribution networks. He ensured accurate mapping and data management, which were critical for supporting operational decisions and optimizing asset management. Additionally, Monir served as a Grid Designer at the same company (March 2018 – August 2018), where he was responsible for designing and planning distribution grid infrastructure projects. His work included performing load flow analysis and grid optimization, ensuring compliance with industry standards and regulations. Earlier in his career, Monir gained valuable practical experience during an internship at a 230KV Power Transmission Station in Semnan Province, Iran (June 2014 – August 2014). In this role, he assisted in the operation and maintenance of high-voltage power transmission systems, contributing to troubleshooting and resolving technical issues while gaining a thorough understanding of the monitoring and control processes involved in power transmission.

Research Interests:

Ms. Monir Ashrafi is deeply invested in advancing the field of power systems engineering, with particular focus on the development and optimization of smart grids. His research interests include the modeling and operation of power distribution systems, where he aims to enhance reliability and resiliency through innovative solutions. Monir is also passionate about integrating renewable energy resources into power grids to support sustainable and decarbonized energy systems. Additionally, he explores the dynamics of energy markets, aiming to facilitate efficient energy trading and management. His work seeks to address the challenges of modern power systems, promoting advancements that contribute to more robust, adaptive, and environmentally friendly power distribution networks.

Publication Top Noted:

Paper Title: Fault-resilient energy management of grid-connected energy communities in presence of distance-driven P2P and P2G energy transactions
  • Authors: Ashrafi, M.; Abbaspour, A.; Fotuhi-Firuzabad, M.; Bacha, S.; Caire, R.
  • Journal: Electric Power Systems Research
  • Volume: 233
  • Pages: 110468
  • Year: 2024
Paper Title: MILP-based Service Restoration in Prosumer-based Active Distribution Networks
  • Authors: Ashrafi, M.; Abbaspour-Tehranifard, A.; Fotuhi-Firuzabad, M.; Bacha, S.; Caire, R.
  • Conference: IEEE PES Innovative Smart Grid Technologies Conference Europe
  • Year: 2023
Paper Title: Topology-based Peer-to-Peer Energy Sharing or Trading for Active Distribution Network
  • Authors: Ashrafi, M.; Abbaspour, A.; Fotuhi-Firuzabad, M.
  • Conference: 2022 12th Smart Grid Conference, SGC 
  • Year: 2022

International Research Data Analysis Excellence Awards | Award Winners 2023

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Yuanchao Yang | Excellence in Research Award Winner 2023  🏆

Yuanchao Yang  : Optical pressure standard👨‍🎓

Congratulations to Dr. Yuanchao Yang!

We celebrate Dr. Yang's exceptional achievement as the recipient of the International Research Data Analysis Excellence Award. His pioneering work in optical pressure standards showcases excellence in research and sets a new standard in precision. A well-deserved honor for a visionary leader in metrology.

Professional profile:

Early Academic Pursuits:

Yuanchao Yang began his academic journey with a keen interest in physics, earning his Bachelor of Science degree in Physics from Tsinghua University in 2004. Driven by a passion for research and scientific exploration, he pursued further studies and completed his Ph.D. in Physics at Tsinghua University in 2009. These formative years laid the foundation for his future contributions to the field of pressure and vacuum metrology.

Professional Endeavors:

Since July 2009, Dr. Yang has been an integral part of the National Institute of Metrology (NIM), China, serving as a Researcher in the Pressure and Vacuum Lab. His commitment to advancing the field led to his appointment as the Head of the Pressure and Vacuum Lab at NIM in January 2018, a position he currently holds. His dedication to the field is further highlighted by his roles as a Guest Researcher at renowned institutions, including the Vacuum Group at PTB, Germany (July 2017 to October 2017), and the Sensor Science Division at NIST, USA (April 2015 to April 2016).

Contributions and Research Focus:

Dr. Yang's research activities center around pressure and vacuum metrology, with a particular emphasis on optical pressure standards utilizing Fabry-Perot cavity-based refractometers and piston gauges. His expertise extends to being the delegation of NIM in the CCM working group of pressure and vacuum, as well as APMP TCM. Additionally, he contributes to the field as a member of the IMEKO TC16 (pressure and vacuum), showcasing his commitment to collaborative efforts and international standards in metrology.

Accolades and Recognition:

Throughout his career, Dr. Yang has garnered recognition for his exceptional contributions to the field. His stint as a Guest Researcher at PTB, Germany, and NIST, USA, underscores his international standing in pressure and vacuum metrology. His involvement in esteemed organizations such as CCM, APMP TCM, and IMEKO TC16 further attests to the recognition of his expertise and leadership in the global metrology community.

Impact and Influence:

As the Head of the Pressure and Vacuum Lab at NIM, Dr. Yang plays a pivotal role in shaping the landscape of pressure and vacuum metrology in China. His research on optical pressure standards and involvement in international working groups positions him as a key influencer in setting standards and advancing measurement technologies. The impact of his work extends beyond borders, contributing to the global advancements in the field.

Legacy and Future Contributions:

Dr. Yuanchao Yang's legacy in the realm of pressure and vacuum metrology is characterized by his leadership, research excellence, and collaborative spirit. His dedication to advancing measurement standards and methodologies has set a benchmark in the field. Looking forward, Dr. Yang is poised to continue making significant contributions, further solidifying his legacy and leaving an indelible mark on the world of metrology.

Notable Publications:

Calculation of effective area for the NIM primary pressure standards

 

International Research Data Analysis Excellence Awards – Award Winner 2023

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Congratulations, Xin Qian | Excellence In Research Award Winner! 🏅🏆

Xin Qian : Machine Learning Applications

Congratulations to Xin Qian on receiving the Excellence in Research Award at the International Research Data Analysis Excellence Awards!  Xin Qian's outstanding work in the field of medical image applications and computer-aided medical diagnosis has garnered well-deserved recognition. Your dedication to advancing research and contributing to the field is truly commendable. Here's to continued success and groundbreaking discoveries in the realm of medical imaging!

Professional profile:

Early Academic Pursuits:

Xin Qian embarked on his academic journey with a Bachelor's degree in Network Engineering from Jinggangshan University, graduating in June 2021 with a commendable GPA of 3.00. During his undergraduate period, he undertook major courses in Software Engineering, C Language Programming, Data Structure, and Principles of Computer Composition, laying the foundation for his subsequent specialization in the field.

His pursuit of academic excellence continued as he furthered his education at Chongqing University of Science and Technology, where he is currently pursuing a Master's degree in Safety Engineering with a focus on Artificial Intelligence. The specialized courses include Advanced Computer Vision, Machine Learning, Optimization Theory and Method, and Scientific Paper Writing, contributing to a notable graduate GPA of 3.48.

Professional Endeavors:

Xin Qian's early professional experiences include a research assistant role at Hunan Zhongke Information Technology Research Institute from April to July 2020. Following this, he served as a postgraduate research assistant at Chongqing University of Science and Technology from September 2021 to June 2022. Demonstrating growth and expertise, he later assumed the position of Deep Learning Lead for Horizontal Projects at the Graphics, Image, and Data Analysis Research Laboratory from September 2022 to September 2023.

Contributions and Research Focus:

Xin Qian's research interests are primarily centered around Computer Vision and Medical Assisted Diagnosis. His focus areas include medical image analysis, model uncertainty quantification, target recognition, and tracking. Notably, he has published four journal papers, with a key emphasis on medical image classification and skin cancer image identification using advanced techniques such as Dynamic Multi-scale Convolutional Neural Networks and Self-Interactive Attention Pyramid.

Accolades and Recognition:

His significant contributions have garnered recognition, with several of his papers currently under review, indicating the quality and relevance of his research. Noteworthy among these is the acceptance of a paper in Computers in Biology and Medicine, a prestigious journal with an Impact Factor of 7.7, classifying it in the top quartile (Q1) of JCR.

Impact and Influence:

Xin Qian's research demonstrates a keen focus on practical applications, evident in the invention patents and software copyright he has been awarded. His innovations span areas such as medical image classification, UAV high-altitude shooting image detection, small target detection in tiny lymph node images, and steel defect image segmentation. This multifaceted approach reflects a commitment to addressing real-world challenges through cutting-edge technologies.

Legacy and Future Contributions:

With a growing portfolio of publications, patents, and software copyrights, Xin Qian is poised to leave a lasting impact on the fields of Artificial Intelligence and Medical Imaging. His commitment to addressing challenges in these domains and his leadership role in deep learning projects underscore his potential to contribute significantly to future advancements in these fields. As he continues to pursue his Master's degree, it is evident that Xin Qian is on a trajectory to make enduring contributions to the intersection of technology and healthcare.