Amar Salehi | Reinforcement Learning | Best Researcher Award

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Dr. Amar Salehi | Reinforcement Learning | Best Researcher Award

Dr. Amar Salehi is a postdoctoral researcher at South China University of Technology 🇨🇳, specializing in microrobotics 🤖, AI 🧠, and biosystems engineering 🌱. With a Ph.D. in Mechanical Engineering of Biosystems 🎓 from the University of Tehran 🇮🇷, 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 🌍🧬. Passionate about innovation, he has contributed to several peer-reviewed journals 📚, international conferences 🌐, and interdisciplinary projects. He also served as a teaching assistant and reviewer and held leadership roles in scientific societies 👨‍🏫. A top-ranked scholar in national entrance exams 🏆, Dr. Salehi actively collaborates across borders for research and development in cutting-edge AI and robotics 🔬.

Profile

Education 🎓

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

Experience 👨‍🏫

Experience (150 words): Dr. Salehi is currently a Postdoctoral Fellow at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology 🇨🇳 (2024–present), working on intelligent agents and microrobotics 🤖. Previously, he was a teaching assistant at the University of Tehran, supporting physics and mechanical engineering courses 👨‍🏫. He also taught part-time at Azad University, Iran (2016–2019) 📘. 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 🧫. A reviewer for “The Innovation” journal, he is proficient in tools like COMSOL, SolidWorks, Python, and statistical analysis 📊🖥️. He also chaired a student startup “Green Daal Mechanics” and served in university and parliamentary scientific committees 🚀📈.

Awards & Recognitions 🏅

Awards and Honors (150 words): Dr. Salehi received the Best Oral Presentation Award 🥇 at IRAC 2024 for his work on deep learning and microrobots 🤖. 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) 🏆. His academic and research excellence has earned him recognition in national and international forums 📜. He has been an active member of the Scientific Association of Biosystems Engineering and the Interdisciplinary Scientific Student Association at the University of Tehran 🧠. He also served as Editor-in-Chief of the New Green Industry Journal 🌱. With strong leadership in university-industry interaction, he contributes to Iran’s agricultural, food, and energy research panels and policy discussions 🧑‍🔬📢.

Research Interests 🔬

.Research Focus (150 words): Dr. Salehi’s research lies at the intersection of microrobotics 🤖, artificial intelligence 🧠, and biosystems 🌱. His Ph.D. work focused on intelligent, model-free control of magnetic microrobots using deep reinforcement learning in real-world environments 🔍. He explores biosensor optimization using genetic algorithms 🧬, natural language interfaces for microrobot control 🗣️, and micro/nano-systems for biomedical and environmental applications 🌍. He integrates fuzzy logic, ANN, and reinforcement learning in his predictive modeling. Ongoing research includes yield prediction in intercropping systems 🌾 and AI-driven environmental cleanup technologies. Dr. Salehi’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 🧪♻️.

Publications 

 

 

 

Aakash Kumar | Path Planning | Best Researcher Award

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Dr. Aakash Kumar | Path Planning | Best Researcher Award

Dr. Aakash Kumar is a Postdoctoral Researcher at Zhongshan Institute of Changchun University of Science and Technology, China. Born in September 1987 in Pakistan, he specializes in Control Science and Engineering with expertise in AI, deep learning, and computer vision. Fluent in English, Chinese, Urdu, and Sindhi, he has worked extensively on spiking neural networks, UAV fault detection, and deep learning optimization. His research contributions span AI-driven robotics, autonomous vehicles, and computational neuroscience. Dr. Kumar has collaborated internationally, guiding Ph.D. and Master’s students, and publishing in renowned journals. He has also worked as a Machine Learning Engineer and Data Scientist. With a strong background in software development, statistical modeling, and GPU parallelization, he actively explores AI advancements. His interdisciplinary work bridges academia and industry, focusing on intelligent automation, efficient deep learning models, and AI applications in healthcare and engineering. 📊🤖🔬

Profile

Education 🎓

Dr. Aakash Kumar earned a Doctor of Engineering (2017–2022) and a Master’s (2014–2017) in Control Science and Engineering from the University of Science and Technology of China, specializing in Control Systems. Both degrees were fully funded by prestigious scholarships, including the Chinese Academy of Sciences-The World Academy of Sciences President’s Fellowship and the Chinese Government Scholarship. He also completed a Diploma in Chinese Language (2013–2014) from Anhui Normal University, achieving HSK-4 proficiency. His academic journey began with a B.S. in Electronic Engineering (2007–2011) from the University of Sindh, Pakistan. His education has been pivotal in shaping his expertise in AI-driven robotics, computational intelligence, and deep learning optimization. Through rigorous research and training, he has honed his skills in deep learning, reinforcement learning, and AI applications in control systems. His academic foundation supports his contributions to AI-powered automation, smart systems, and computational modeling. 🏅📡

Experience 👨‍🏫

Dr. Aakash Kumar has been a Postdoctoral Researcher (2022–Present) at Zhongshan Institute of Changchun University of Science and Technology, China, where he develops AI-driven solutions for robotics and deep learning applications. Previously, he worked remotely as a Machine Learning Engineer (2021–2022) at COSIMA.AI Inc., USA, where he contributed to AI-based cancer detection, sign language translation, and smart vehicle monitoring. Earlier, he was a Data Scientist (2012–2013) at Japan Cooperation Agency, Pakistan, analyzing agriculture and livestock data. His academic career includes a Lecturer role (2011–2012) at The Pioneers College, Pakistan. He has led AI research initiatives, supervised Ph.D. and Master’s students, and optimized neural networks for industrial applications. With expertise in AI model compression, computer vision, and reinforcement learning, he has been instrumental in developing computational techniques for real-world automation, AI-powered robotics, and UAV fault detection. His work integrates deep learning, optimization, and AI-driven automation. 🏢🤖📈

Research Interests 🔬

Dr. Aakash Kumar’s research focuses on AI-driven robotics, deep learning optimization, and computational intelligence. He has developed Deep Spiking Q-Networks (DSQN) for mobile robot path planning, a CNN-LSTM-AM framework for UAV fault detection, and Deep Conditional Generative Models (DCGMDL) for supervised classification. His work integrates reinforcement learning, neural network pruning, and AI-driven automation to enhance machine learning efficiency. He specializes in deep learning model compression, AI-powered automation, and collaborative data analysis methods. His projects include endoscopy fault detection, smart vehicle monitoring, and neuropsychological condition prediction using AI. With extensive experience in R, Python, TensorFlow, and MATLAB, he develops AI models for healthcare, autonomous systems, and intelligent automation. His interdisciplinary research bridges academia and industry, advancing AI for real-world applications in robotics, deep learning optimization, and intelligent control systems. 🚀📡📊

Awards & Recognitions 🏅

Dr. Aakash Kumar has received numerous prestigious awards, including the Chinese Academy of Sciences-The World Academy of Sciences President’s Fellowship (2017–2022) and the Chinese Government Scholarship (2014–2017, 2013–2014). His AI research achievements earned recognition in top conferences, including IEEE Infoteh-Jahorina and Neurocomputing. He has been honored for his contributions to deep learning and AI-powered robotics, including Best Research Paper Awards at multiple international conferences. His work on efficient CNN optimization and deep spiking Q-networks has gained significant academic and industry recognition. As a speaker at AI conferences, he has presented on generative AI, photon-level ghost imaging, and autonomous vehicle advancements. He continues to receive accolades for his groundbreaking research in AI, robotics, and computational intelligence, solidifying his reputation as a leading expert in control systems and AI-driven automation. 🏅🔬📢

Publications 📚

Mudassar Raza | Machine Learning | Best Researcher Award

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Prof. Mudassar Raza | Machine Learning | Best Researcher Award

Prof. Dr. Mudassar Raza is a leading AI researcher and academician, serving as a Professor at Namal University, Mianwali, Pakistan. He is a Senior IEEE Member, Chair Publications of IEEE Islamabad Section, and an Academic Editor for PLOS ONE. With 20+ years of teaching and research experience, he has worked at HITEC University Taxila and COMSATS University Islamabad. His research spans AI, deep learning, image processing, and cybersecurity. He has published 135+ research papers with a cumulative impact factor of 215+, 6066+ citations, an H-index of 44, and an I-10 index of 93. He was listed in Elsevier’s World’s Top 2% Scientists (2023) and ranked #11 in Computer Science in Pakistan. Dr. Raza has supervised 3 PhDs, co-supervising 6 more, and mentored 100+ undergraduate R&D projects. He actively contributes to academia, industry collaborations, and curriculum development while serving as a reviewer for prestigious journals. 🌍📖

Profile

Education 🎓

  • Ph.D. in Control Science & Engineering (2014-2017) – University of Science & Technology of China (USTC), China 🇨🇳
    • Specialization: Pattern Recognition & Intelligent Systems
  • MS (Computer Science) (2009-2010) – Iqra University, Islamabad, Pakistan 🇵🇰
    • CGPA: 3.64 | Specialization: Image Processing
  • MCS (Master of Computer Science) (2004-2006) – COMSATS Institute of Information Technology, Pakistan
    • CGPA: 3.24 | 80% Marks
  • BCS (Bachelor in Computer Science) (1999-2003) – Punjab University, Lahore, Pakistan
    • CGPA: 3.28 | 64.25% Marks
  • Higher Secondary (Pre-Engineering) – Islamabad College for Boys
  • Matriculation (Science) – Islamabad College for Boys
    Dr. Raza’s academic journey is marked by top-tier universities and a strong focus on AI, pattern recognition, and cybersecurity. 🎓📚

Experience 👨‍🏫

  • Professor (2024-Present) – Namal University, Mianwali
    • Teaching AI, Cybersecurity, and Research Supervision
  • Associate Professor/Head AI & Cybersecurity Program (2023-2024) – HITEC University, Taxila
    • Led AI & Cybersecurity programs, supervised PhDs, and organized industry-academic collaborations
  • Associate Professor (2023) – COMSATS University, Islamabad
  • Assistant Professor (2012-2023) – COMSATS University, Islamabad
  • Lecturer (2008-2012) – COMSATS University, Islamabad
  • Research Associate (2006-2008) – COMSATS University, Islamabad
    Dr. Raza has 20+ years of experience in academia, R&D, and industry collaborations, contributing significantly to AI, deep learning, and cybersecurity. 🏫📊

Research Interests 🔬

Prof. Dr. Mudassar Raza’s research revolves around Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, Cybersecurity, and Parallel Programming. His work includes pattern recognition, intelligent systems, visual robotics, and AI-driven cybersecurity solutions. With 135+ international publications, he has significantly contributed to AI’s real-world applications. His research impact includes 6066+ citations, an H-index of 44, and an I-10 index of 93. He leads multiple AI research groups, supervises PhD/MS students, and actively collaborates with industry and academia. His work is frequently cited, placing him among the top AI researchers globally. As an IEEE Senior Member and a PLOS ONE Academic Editor, he is a key figure in AI-driven innovations and technology advancements. 🧠📊

  • National Youth Award 2008 by the Prime Minister of Pakistan for contributions to Computer Science 🎖️
  • Listed in World’s Top 2% Scientists (2023) by Elsevier 🌍
  • Ranked #11 in Computer Science in Pakistan by AD Scientific Index 📊
  • Senior IEEE Member (ID: 91289691) 🔬
  • HEC Approved PhD Supervisor 🎓
  • Best Research Productivity Awardee at COMSATS University multiple times 🏆
  • Recognized by ResearchGate with a Research Interest Score higher than 97% of members 📈
  • Reviewer & Editor for prestigious journals including PLOS ONE 📝
    Dr. Raza has received numerous accolades for his contributions to AI, research excellence, and academia. 🌟

Publications 📚