Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award

Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award

Mr. Tohid Sharifi, Niroo Research Institute, Iran

Mr. Tohid Sharifi is a proficient electrical engineer with an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology and a B.Sc. in Electrical Power Engineering from Urmia University. His research encompasses notable projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering, and he is actively working on heat transfer investigations for advanced motor designs. With industrial experience as a CFD Specialist and Cooling System Design Engineer, he has contributed to thermal analysis for a 100kW flywheel energy storage system and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks. His research interests include power electronics, electrical machines, electric vehicles, and metaheuristics, and he holds a patent for a hybrid excited flux switching permanent magnet motor for electric vehicle applications.

Professional Profile:

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Suitability for the Best Researcher Award:

Mr. Tohid Sharifiā€™s extensive research and industrial contributions make him an ideal candidate for the Best Researcher Award. His focus on heat transfer and cooling systems for electric motors, coupled with his work in metaheuristic optimization for motor efficiency, reflects his forward-thinking approach to solving key challenges in power electronics and energy systems. His innovative contributions to electric vehicle motor design and the optimization of thermal systems using advanced algorithms showcase his potential for significant future impact in the field.

šŸŽ“ Education:

Mr. Tohid Sharifi holds an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology (Tehran Polytechnic) and a B.Sc. in Electrical Power Engineering from Urmia University.

šŸ› ļø Academic Projects:

His research includes significant projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering. He has also worked on heat transfer investigations for advanced motor designs, with papers under revision in prominent journals.

šŸ­ Industrial Experience:

In the industrial sector, Mr. Sharifi has contributed as a CFD Specialist and Cooling System Design Engineer for electric motors. He played a crucial role in thermal analysis for a 100kW flywheel energy storage system at Niroo Research Institute and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks.

šŸ” Research Focus:

His research interests lie in power electronics, electrical machines, electric vehicles, metaheuristics, and heat transfer. He is also an inventor, with a patented hybrid excited flux switching permanent magnet motor for electric vehicle applications.

Publication Top Notes:

  • “An asymmetrical cascaded single-phase quasi Z-source multilevel inverter with reduced number of switches and lower THD”
    • Citations: 9
    • Published: 2020
  • “Optimal design of a synchronous reluctance motor using biogeography-based optimization”
    • Citations: 5
    • Published: 2021
  • “Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm”
    • Citations: 4
    • Published: 2021
  • “Analytical Modeling and Electrical Equivalent Circuit Extraction for a Flux Switching PM Motor for EVs”
    • Citations: 3
    • Published: 2022
  • “Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm”
    • Citations: 2
    • Published: 2022

 

 

 

 

Ms. Sandhya Sharma | Machine learning Awards | Best Researcher Award

Ms. Sandhya Sharma | Machine learning Awards | Best Researcher Award

Ms. Sandhya Sharma, Muroran Institute of Technology, Nepal

Ms. Sandhya Sharma is currently pursuing her PhD in Informatics at the Muroran Institute of Technology, Hokkaido, Japan. She holds a Masterā€™s in Zoology with a specialization in Ecology from the Central Department of Zoology, Kirtipur, Nepal, and a Bachelorā€™s in Zoology from Patan Multiple Campus, Nepal. šŸ¦ Professionally, she is a Wildlife Researcher at the Himali Conservation Forum in Taplejung, Nepal, where she develops conservation projects, oversees coordination, monitors progress, and reports on milestones. Previously, as a Consultant at the Zoological Society of London-Nepal, she conducted social surveys and analyzed wildlife data in the Chitwan-Makwanpur-Parsa Conservation Area. šŸ“š Sandhya has also been a Part-time Lecturer in biostatistics at Tribhuvan University and a Secondary Level Teacher at Buddha Academy Kathmandu. Additionally, she mentored over 150 young girls through the Underprivileged Girls Education Support Program in Kathmandu. šŸ¾ As a World Wildlife Fund Intern, she managed data, assisted in report writing, installed and monitored wildlife cameras, and conducted wildlife observations in the Gaurishankar Conservation Area.

Professional Profile:

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šŸŽ“ Educational Journey

Sandhya Sharma is currently pursuing her PhD in Informatics at the Muroran Institute of Technology, Hokkaido, Japan. She holds a Masterā€™s Degree in Zoology with a specialization in Ecology from the Central Department of Zoology, Kirtipur, Nepal, and a Bachelorā€™s Degree in Zoology from Patan Multiple Campus, Nepal.

šŸ¦ Professional Experience

Wildlife Researcher (2018-Ongoing) Sandhya works at the Himali Conservation Forum in Taplejung, Nepal. She develops and implements conservation projects, oversees coordination, monitors progress, and reports on key milestones. Her role involves data interpretation, hypothesis testing, and strategy improvement.

Consultant (2017-2018) At the Zoological Society of London-Nepal, Sandhya conducted social surveys and analyzed data on wildlife in Chitwan ā€“ Makwanpur – Parsa Conservation Area. She established Community Conservation Units and contributed to scientific journal articles on species like Pangolin, Tiger, and Gharial.

šŸ“š Teaching and Mentorship

Part-time Lecturer (2017) Sandhya taught biostatistics to Masterā€™s students at Tribhuvan University, assisting them with field surveys and data analysis.

Secondary Level Teacher (2009-2011) At Buddha Academy Kathmandu, she taught science and mathematics to secondary students, providing guidance and counseling for academic challenges.

Part-time Mentorship (2008-2011) Through the Underprivileged Girls Education Support Program (UGESP) in Kathmandu, Sandhya mentored over 150 young girls, educating them on various topics and tracking their educational progress.

šŸ¾ Internship and Field Work

World Wildlife Fund Intern (2016-2017) Sandhya managed data, assisted in report writing, installed and monitored wildlife cameras, and conducted wildlife observations in the Gaurishankar Conservation Area.

Publication Top Notes:

  • Enhancing Sika Deer Identification: Integrating CNN-Based Siamese Networks with SVM Classification
    • Published Year: 2024
  • A Methodological Literature Review of Acoustic Wildlife Monitoring Using Artificial Intelligence Tools and Techniques
    • Published Year: 2023
  • Livestock Depredation by Leopards and Tigers Near Bardia National Park, Nepal
    • Published Year: 2021
  • Knowledge of the Critically Endangered Chinese pangolin (Manis pentadactyla) by local people in Sindhupalchok, Nepal
    • Published Year: 2020
  • Peopleā€™s Knowledge of Illegal Chinese Pangolin Trade Routes in Central Nepal
    • Published Year: 2020