Xionghui Zou | Computational Modeling | Best Researcher Award

Mr. Xionghui Zou | Computational Modeling | Best Researcher Award

Zou Xionghui is a Senior Engineer at CATARC Automotive Test Center (Tianjin) Co., Ltd., where he specializes in vehicle emissions and energy-saving technologies. With over 15 years of experience in the automotive industry, he contributes to advancing sustainable transportation solutions in China. He began his career at Tianjin FAW Xiali Automobile Co., Ltd., where he worked on powertrain development, before joining CATARC in 2018. Zou holds a postgraduate degree in Power Machinery and Engineering from Tianjin University, completed in 2017. At CATARC, he plays a key role in the Light Vehicle Emission and Energy-Saving Testing and Research Department, focusing on emissions compliance and fuel efficiency research. Known for his dedication and technical acumen, Zou actively supports national environmental objectives through cutting-edge testing protocols and research methodologies. His work bridges academic knowledge and practical innovation, making him a valuable contributor to China’s automotive and environmental advancement efforts.

Profile

Education 🎓

Zou Xionghui pursued his postgraduate education in Power Machinery and Engineering at Tianjin University, one of China’s premier institutions for engineering and technology. He graduated in September 2017 after completing an intensive curriculum that focused on internal combustion engines, thermodynamics, emissions control, fuel systems, and vehicle performance optimization. His academic training equipped him with a strong foundation in theoretical principles and practical applications relevant to the automotive sector. The program emphasized energy efficiency and environmental sustainability, aligning with China’s growing focus on clean and green automotive technologies. Throughout his academic career, Zou developed expertise in simulation modeling, mechanical testing, and data analysis techniques, which he now applies in his professional work. His education laid the groundwork for his contributions to national standards for vehicle emissions and energy conservation. The rigorous academic environment at Tianjin University also instilled a strong commitment to continuous learning and technological innovation in his engineering practice.

Experience 👨‍🏫

Zou Xionghui began his professional journey in July 2007 at the Development Center of Tianjin FAW Xiali Automobile Co., Ltd., where he worked in the Powertrain Department until August 2009. There, he gained valuable hands-on experience in engine systems, drivetrain integration, and power efficiency enhancements. After a brief period focusing on further education and research, Zou joined CATARC Automotive Test Center (Tianjin) Co., Ltd. in July 2018, where he currently serves as a Senior Engineer in the Light Vehicle Emission and Energy-Saving Testing and Research Department. At CATARC, he is involved in testing vehicle emissions, evaluating fuel consumption, and supporting research into energy-saving vehicle technologies. His role includes developing testing protocols, coordinating with regulatory authorities, and contributing to national emissions standards. His combined industrial and research experience makes him a key asset in driving China’s efforts to meet environmental regulations and promote cleaner, more efficient transportation systems.

Awards & Recognitions 🏅

Zou Xionghui has earned recognition throughout his career for his technical expertise and contributions to automotive emissions research and testing. While specific awards are not listed, professionals in his role and organization often receive internal accolades for excellence in engineering, participation in national standards development, and successful execution of major testing programs. As a Senior Engineer at CATARC, Zou is likely involved in collaborative government-industry initiatives, for which teams frequently receive collective commendations from agencies such as the Ministry of Ecology and Environment and the Ministry of Industry and Information Technology. Additionally, his continued presence in a high-impact technical role at one of China’s foremost automotive testing centers reflects sustained professional excellence. His postgraduate academic background and position in a prestigious national laboratory context underscore his achievements in engineering innovation, regulatory compliance testing, and contribution to the advancement of vehicle environmental performance standards in China.

Research Interests 🔬

Zou Xionghui’s research focuses on vehicle emissions testing, fuel economy optimization, and development of low-emission vehicle technologies. At CATARC, he is engaged in experimental evaluations of light-duty vehicles, with an emphasis on compliance with national and international emission standards. His work involves developing and refining protocols for tailpipe emission measurements, analyzing energy consumption trends, and researching technologies that reduce environmental impact. He contributes to improving methodologies for chassis dynamometer testing and real-world driving emissions (RDE) assessments. Zou is also interested in integrating simulation tools with laboratory data to enhance vehicle design for energy efficiency. His research supports China’s policies on green transportation and helps automobile manufacturers align with evolving environmental requirements. With a strong academic and practical foundation, Zou is at the forefront of innovations in emission reduction and energy-saving strategies, contributing valuable insights to the automotive sector’s transition toward cleaner and more sustainable mobility solutions.

Ibrahim Akinjobi Aromoye | Computer Vision | Best Researcher Awards

Mr.Ibrahim Akinjobi Aromoye | Computer Vision | Best Researcher Awards

Aromoye Akinjobi Ibrahim is a dedicated researcher in Electrical and Electronic Engineering, currently pursuing an MSc (Research) at Universiti Teknologi PETRONAS, Malaysia. His research focuses on hybrid drones for pipeline inspection, integrating machine learning to enhance surveillance capabilities. With a B.Eng. in Computer Engineering from the University of Ilorin, Nigeria, he has excelled in robotics, artificial intelligence, and digital systems. Aromoye has extensive experience as a research assistant, STEM educator, and university teaching assistant, contributing to 5G technology, UAV development, and machine learning applications. He has authored multiple research papers in reputable journals and conferences. A proactive leader, he has held executive roles in student associations and led innovative projects. His expertise spans embedded systems, IoT, and cybersecurity, complemented by certifications in Python, OpenCV, and AI-driven vision systems. He actively contributes to academic peer review and professional development, demonstrating a commitment to technological advancements and education.

Profile

Education 🎓

Aromoye Akinjobi Ibrahim is pursuing an MSc (Research) in Electrical and Electronic Engineering at Universiti Teknologi PETRONAS (2023-2025), focusing on hybrid drones for pipeline inspection under the supervision of Lo Hai Hiung and Patrick Sebastian. His research integrates machine learning with air buoyancy technology to enhance UAV flight time. He holds a B.Eng. in Computer Engineering from the University of Ilorin, Nigeria (2015-2021), graduating with a Second Class Honors (Upper) and a CGPA of 4.41/5.0. His undergraduate thesis involved developing a smart bidirectional digital counter with a light control system for energy-efficient automation. Excelling in digital signal processing, AI applications, robotics, and software engineering, he has consistently demonstrated technical excellence. His academic journey is enriched with top grades in core engineering courses and hands-on experience in embedded systems, IoT, and AI-driven automation, making him a skilled researcher and developer in advanced engineering technologies.

Experience 👨‍🏫

Aromoye has diverse experience spanning research, teaching, and industry. As a Graduate Research Assistant at Universiti Teknologi PETRONAS (2023-present), he specializes in hybrid drone development, 5G technologies, and machine learning for UAVs. His contributions include designing autonomous systems and presenting research at international conferences. Previously, he was an Undergraduate Research Assistant at the University of Ilorin (2018-2021), where he worked on digital automation and AI-driven projects. In academia, he has been a Teaching Assistant at UTP, instructing courses in computer architecture, digital systems, and electronics. His industry roles include STEM Educator at STEMCafe (2022-2023), where he taught Python, robotics, and electronics, and a Mobile Games Development Instructor at Center4Tech (2019-2021), guiding students in game design. He also worked as a Network Support Engineer at the University of Ilorin (2018). His expertise spans AI, IoT, and automation, making him a versatile engineer and educator.

Awards & Recognitions 🏅

Aromoye has received prestigious scholarships and leadership recognitions. He is a recipient of the Yayasan Universiti Teknologi PETRONAS (YUTP-FRG) Grant (2023-2025), a fully funded scholarship supporting his MSc research in hybrid drones. As an undergraduate, he demonstrated leadership by serving as President of the Oyun Students’ Association at the University of Ilorin (2019-2021) and previously as its Public Relations Officer (2018-2019). He led several undergraduate research projects, including developing a smart bidirectional digital counter with a light controller system, earning accolades for innovation in automation. His contributions extend to professional peer review for IEEE Access and Results in Engineering. Additionally, he has attained multiple certifications in cybersecurity (MITRE ATT&CK), IoT, and AI applications, reinforcing his technical expertise. His dedication to academic excellence, leadership, and research impact continues to shape his career in engineering and technology.

Research Interests 🔬

Aromoye’s research revolves around hybrid UAVs, AI-driven automation, and 5G-enabled surveillance systems. His MSc thesis at Universiti Teknologi PETRONAS explores the development of a Pipeline Inspection Air Buoyancy Hybrid Drone, enhancing flight efficiency through a combination of lighter-than-air and heavier-than-air technologies. His work integrates deep learning-based object detection algorithms for real-time pipeline monitoring. He has contributed to multiple research publications in IEEE Access, Neurocomputing, and Elsevier journals, covering UAV reconnaissance, transformer-based pipeline detection, and swarm intelligence. His research interests extend to AI-driven control systems, autonomous robotics, and IoT-based energy-efficient automation. Additionally, he investigates cybersecurity applications in UAVs and smart embedded systems. His interdisciplinary expertise enables him to develop innovative solutions for industrial surveillance, automation, and smart infrastructure, positioning him as a leading researcher in AI-integrated engineering technologies.

Publications 

  • Significant Advancements in UAV Technology for Reliable Oil and Gas Pipeline Monitoring

    Computer Modeling in Engineering & Sciences
    2025-01-27 | Journal article
    Part ofISSN: 1526-1506
    CONTRIBUTORS: Ibrahim Akinjobi Aromoye; Hai Hiung Lo; Patrick Sebastian; Shehu Lukman Ayinla; Ghulam E Mustafa Abro
  • Real-Time Pipeline Tracking System on a RISC-V Embedded System Platform

    14th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2024
    2024 | Conference paper
    EID:

    2-s2.0-85198901224

    Part of ISBN: 9798350348798
    CONTRIBUTORS: Wei, E.S.S.; Aromoye, I.A.; Hiung, L.H.

 

Aakash Kumar | Path Planning | Best Researcher Award

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 📚