Amar Salehi | Reinforcement Learning | Best Researcher Award

Dr. Amar Salehi | Reinforcement Learning | Best Researcher Award

Dr. Amar Salehi is a postdoctoral researcher at South China University of Technology ๐Ÿ‡จ๐Ÿ‡ณ, specializing in microrobotics ๐Ÿค–, AI ๐Ÿง , and biosystems engineering ๐ŸŒฑ. With a Ph.D. in Mechanical Engineering of Biosystems ๐ŸŽ“ from the University of Tehran ๐Ÿ‡ฎ๐Ÿ‡ท, he developed intelligent and independent control systems for magnetic microrobots. His work integrates machine learning, deep learning, and bio-inspired design for environmental and biomedical applications ๐ŸŒ๐Ÿงฌ. Passionate about innovation, he has contributed to several peer-reviewed journals ๐Ÿ“š, international conferences ๐ŸŒ, and interdisciplinary projects. He also served as a teaching assistant and reviewer and held leadership roles in scientific societies ๐Ÿ‘จโ€๐Ÿซ. A top-ranked scholar in national entrance exams ๐Ÿ†, Dr. Salehi actively collaborates across borders for research and development in cutting-edge AI and robotics ๐Ÿ”ฌ.

Profile

Education ๐ŸŽ“

Dr. Salehi earned his Ph.D. in Mechanical Engineering of Biosystems ๐ŸŽ“ from the University of Tehran (2019โ€“2024), focusing on intelligent magnetic microrobot control ๐Ÿค–. He completed his M.S. at Isfahan University of Technology (2013โ€“2015) ๐Ÿงช, where he explored fluid heat transfer using CFD methods and mechanical behavior modeling with neural networks. His B.S. was from Razi University (2008โ€“2012) in Biosystems Mechanical Engineering ๐Ÿ”ง๐ŸŒพ. A consistent top performer, he ranked 2nd in the Ph.D. entrance exam and 90th in the M.S. exam among thousands ๐Ÿ…. His academic record features exceptional GPAs and thesis scores ๐ŸŒŸ. Dr. Salehi’s interdisciplinary education blends mechanical systems, AI, and biology, building a strong foundation for his current microrobotics and biosensor research ๐Ÿ”ฌ๐Ÿ“Š.

Experience ๐Ÿ‘จโ€๐Ÿซ

Experience (150 words): Dr. Salehi is currently a Postdoctoral Fellow at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology ๐Ÿ‡จ๐Ÿ‡ณ (2024โ€“present), working on intelligent agents and microrobotics ๐Ÿค–. Previously, he was a teaching assistant at the University of Tehran, supporting physics and mechanical engineering courses ๐Ÿ‘จโ€๐Ÿซ. He also taught part-time at Azad University, Iran (2016โ€“2019) ๐Ÿ“˜. As a research assistant at the AIAX Lab, he contributed to AI and advanced control systems. He led several interdisciplinary projects, including a joint Iran-Turkey research on microfluidic biochips ๐Ÿงซ. A reviewer for โ€œThe Innovationโ€ journal, he is proficient in tools like COMSOL, SolidWorks, Python, and statistical analysis ๐Ÿ“Š๐Ÿ–ฅ๏ธ. He also chaired a student startup โ€œGreen Daal Mechanicsโ€ and served in university and parliamentary scientific committees ๐Ÿš€๐Ÿ“ˆ.

Awards & Recognitions ๐Ÿ…

Awards and Honors (150 words): Dr. Salehi received the Best Oral Presentation Award ๐Ÿฅ‡ at IRAC 2024 for his work on deep learning and microrobots ๐Ÿค–. Ranked 2nd in the national Ph.D. entrance exam and 90th in the M.S. exam, he also achieved excellent scores in his thesis evaluations (Ph.D.: 19.65/20, M.S.: 19.49/20) ๐Ÿ†. His academic and research excellence has earned him recognition in national and international forums ๐Ÿ“œ. He has been an active member of the Scientific Association of Biosystems Engineering and the Interdisciplinary Scientific Student Association at the University of Tehran ๐Ÿง . He also served as Editor-in-Chief of the New Green Industry Journal ๐ŸŒฑ. With strong leadership in university-industry interaction, he contributes to Iranโ€™s agricultural, food, and energy research panels and policy discussions ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ“ข.

Research Interests ๐Ÿ”ฌ

.Research Focus (150 words): Dr. Salehiโ€™s research lies at the intersection of microrobotics ๐Ÿค–, artificial intelligence ๐Ÿง , and biosystems ๐ŸŒฑ. His Ph.D. work focused on intelligent, model-free control of magnetic microrobots using deep reinforcement learning in real-world environments ๐Ÿ”. He explores biosensor optimization using genetic algorithms ๐Ÿงฌ, natural language interfaces for microrobot control ๐Ÿ—ฃ๏ธ, and micro/nano-systems for biomedical and environmental applications ๐ŸŒ. He integrates fuzzy logic, ANN, and reinforcement learning in his predictive modeling. Ongoing research includes yield prediction in intercropping systems ๐ŸŒพ and AI-driven environmental cleanup technologies. Dr. Salehiโ€™s goal is to create autonomous, intelligent microsystems that can navigate, sense, and interact with biological and physical environments, with potential applications in diagnostics, therapy, and sustainability ๐Ÿงชโ™ป๏ธ.

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