Dr. Amar Salehi is a postdoctoral researcher at South China University of Technology šØš³, specializing in microrobotics š¤, AI š§ , and biosystems engineering š±. With a Ph.D. in Mechanical Engineering of Biosystems š from the University of Tehran š®š·, 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 šš§¬. Passionate about innovation, he has contributed to several peer-reviewed journals š, international conferences š, and interdisciplinary projects. He also served as a teaching assistant and reviewer and held leadership roles in scientific societies šØāš«. A top-ranked scholar in national entrance exams š, Dr. Salehi actively collaborates across borders for research and development in cutting-edge AI and robotics š¬.
Profile
Education š
Dr. Salehi earned his Ph.D. in Mechanical Engineering of Biosystems š from the University of Tehran (2019ā2024), focusing on intelligent magnetic microrobot control š¤. He completed his M.S. at Isfahan University of Technology (2013ā2015) š§Ŗ, where he explored fluid heat transfer using CFD methods and mechanical behavior modeling with neural networks. His B.S. was from Razi University (2008ā2012) in Biosystems Mechanical Engineering š§š¾. A consistent top performer, he ranked 2nd in the Ph.D. entrance exam and 90th in the M.S. exam among thousands š
. His academic record features exceptional GPAs and thesis scores š. Dr. Salehi’s interdisciplinary education blends mechanical systems, AI, and biology, building a strong foundation for his current microrobotics and biosensor research š¬š.
Experience šØāš«
Experience (150 words): Dr. Salehi is currently a Postdoctoral Fellow at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology šØš³ (2024āpresent), working on intelligent agents and microrobotics š¤. Previously, he was a teaching assistant at the University of Tehran, supporting physics and mechanical engineering courses šØāš«. He also taught part-time at Azad University, Iran (2016ā2019) š. 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 š§«. A reviewer for āThe Innovationā journal, he is proficient in tools like COMSOL, SolidWorks, Python, and statistical analysis šš„ļø. He also chaired a student startup āGreen Daal Mechanicsā and served in university and parliamentary scientific committees šš.
Awards & Recognitions š
Awards and Honors (150 words): Dr. Salehi received the Best Oral Presentation Award š„ at IRAC 2024 for his work on deep learning and microrobots š¤. 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) š. His academic and research excellence has earned him recognition in national and international forums š. He has been an active member of the Scientific Association of Biosystems Engineering and the Interdisciplinary Scientific Student Association at the University of Tehran š§ . He also served as Editor-in-Chief of the New Green Industry Journal š±. With strong leadership in university-industry interaction, he contributes to Iranās agricultural, food, and energy research panels and policy discussions š§āš¬š¢.
Research Interests š¬
.Research Focus (150 words): Dr. Salehiās research lies at the intersection of microrobotics š¤, artificial intelligence š§ , and biosystems š±. His Ph.D. work focused on intelligent, model-free control of magnetic microrobots using deep reinforcement learning in real-world environments š. He explores biosensor optimization using genetic algorithms š§¬, natural language interfaces for microrobot control š£ļø, and micro/nano-systems for biomedical and environmental applications š. He integrates fuzzy logic, ANN, and reinforcement learning in his predictive modeling. Ongoing research includes yield prediction in intercropping systems š¾ and AI-driven environmental cleanup technologies. Dr. Salehiās 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 š§Ŗā»ļø.
- Intelligent Navigation of a Magnetic Microrobot with Model-Free Deep Reinforcement Learning in a Real-World Environment
A Salehi, S Hosseinpour, N Tabatabaei, M Soltani Firouz, T Yu
Micromachines 15 (1), 112
- Investigation of the effect of flow rate on fluid heat transfer in counter-flow helical heat exchanger using CFD method
P Ghiasi, A Salehi, SS Hoseini, G Najafi, R Mamat, B Balkhaya, …
- Smart Control of a Microrobot for Navigation on Fluid Surface and Simulation of its Application in Microplastics Removal
A Salehi, S Hosseinpour, N Tabatabaei, M Soltani Firouz
Iranian Journal of Biosystems Engineering
- Advancements in Machine Learning for Microrobotics in Biomedicine
A Salehi, S Hosseinpour, N Tabatabaei, M Soltani Firouz, N Zadebana, …
Advanced Intelligent Systems, 2400458
- A Review of Deep Learning-Enhanced Imaging Methods for Microrobots
A Salehi, T Yu
IEEE International Conference on Intelligent Robotics and Automatic ControlĀ ā¦
- spermbots; A new platform to biosystems and robotics in small scales
A Salehi
Journal of New Green Industry 6 (2), 16-27
- Microrobotics Technology in Agriculture and Food Industry
A Salehi, S Hosseinpour
14th National Congress of Mechanical Engineering of Biosystems andĀ ā¦
- Investigation on physical and mechanical behavior of Cherry Plum fruit and analysis of its physical properties using ANN and regression models
A Salehi, P Ghiasi, A Torabi Mazrae Maleki, A Hemmat
Journal of food science and technology 17 (99), 15-29