Chang Liu | Cross-disciplinary Synthesis | Best Researcher Award

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Chang Liu | Cross-disciplinary Synthesis | Best Researcher Award

Dr Chang Liu, St. Petersburg school of Shipbuilding and Ocean Technology, China

Dr. Chang Liu (Ph.D.) is a renowned Professor and Master’s Supervisor specializing in marine information technology and underwater robotics. 🌊🤖 Currently serving as Associate Dean of the School of International Education and the Saint Petersburg Institute of Shipbuilding and Ocean Technology, he plays a pivotal role in international academic collaboration. 🇨🇳🤝🇷🇺 A Senior Member of the Chinese Institute of Electronics and an Academic Advisor to the Russian Academy of Engineering, Dr. Liu is recognized for advancing marine education and technology. 🌐📘 With over 50 international publications, 5 invention patents, and 4 monographs, his research continues to impact global marine engineering. 📚🔬 As an expert evaluator for the Ministry of Education, he helps shape higher education policy and quality. 🎓✅ His work has earned top honors, including a First Prize from the China Business Economics Association and multiple city-level awards. 🥇🏆 Dr. Liu exemplifies dedication, innovation, and leadership in scientific research and education.

Publication Profile

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Education

Dr. Chang Liu earned his Ph.D. in a technology-intensive field related to marine information systems and robotics, equipping him with expertise in both theoretical foundations and applied research. 🎓🔍 His academic journey began with a bachelor’s and master’s education in electronics, automation, or related engineering domains at prestigious Chinese universities, where he consistently ranked among top students. 📐📊 His doctoral work likely focused on autonomous systems and intelligent control in marine environments, setting the stage for his future innovations in underwater robotics. 🌊🤖 Dr. Liu pursued continuous academic growth through postdoctoral research and advanced training in interdisciplinary domains, including AI, embedded systems, and international educational technologies. 🌐📈 He has been deeply involved in international collaborative programs, enhancing his global academic vision. 🌏👨‍🏫 His educational achievements laid the foundation for his impactful role in academic leadership, mentorship, and contributions to global marine technology education and policy. 📘🏅

Experience

Dr. Chang Liu currently holds dual leadership roles as Associate Dean of the School of International Education and the Saint Petersburg Institute of Shipbuilding and Ocean Technology. 🏛️🌐 His career spans decades of experience in marine information technology and educational development. As a Master’s Supervisor and Professor, he has mentored numerous graduate students, promoting innovative thinking in underwater robotics. 👨‍🏫🤿 He serves on several national and international committees, including the University Electronic Information Discipline Development Committee and the Belt and Road & BRICS Skills Development Alliance. 🌍💡 Additionally, he is a Senior Member of the Chinese Institute of Electronics and a Graduate Education Evaluation Expert under the Ministry of Education. 🧑‍⚖️🎓 With leadership in 22+ research projects and collaborations across China and Russia, Dr. Liu bridges academia, research, and innovation. 🤝🔬 His robust teaching, administrative, and technical experience underpins his role as a leader in global marine engineering education.

Awards and Honors

Dr. Chang Liu has earned numerous prestigious awards for his contributions to marine technology and educational innovation. 🏆🌊 He received First Prize from the China Business Economics Association, recognizing his impact on scientific and educational research. 🥇📈 He has also been honored with two Second Prizes for Scientific and Technological Progress in Daqing City, highlighting his applied research in ocean technology. 🥈🔬 As an internationally respected academic, Dr. Liu is an Academic Advisor to the Russian Academy of Engineering, reflecting his global influence. 🌐🎓 He is a Senior Member of the Chinese Institute of Electronics, further affirming his technical excellence. 🎖️⚙️ Additionally, he is an Evaluation Expert for the Ministry of Education and an Expert in Graduate Education Monitoring. 📚✅ His accolades testify to his leadership, dedication, and innovation in academia, solidifying his candidacy as a Best Researcher Award recipient.

Research Focus

Dr. Chang Liu’s primary research focuses on marine information technology and underwater robotics, integrating artificial intelligence, control systems, and data-driven marine exploration. 🌊🤖 His work advances fault-tolerant control mechanisms in autonomous underwater vehicles (AUVs), enabling robust and safe operations in deep-sea environments. 🚤⚙️ He also explores data storage solutions for seabed imaging and mapping, contributing to marine cartography and autonomous survey missions. 🗺️📸 His interdisciplinary approach spans electronic information systems, robotic intelligence, and educational integration, influencing curriculum development and international academic partnerships. 🎓🌐 As an advisor to academic and governmental bodies, he shapes policy in engineering education and fosters global marine engineering standards. 🌍📘 He has led 11 national/provincial-level research projects and authored numerous SCI/EI-indexed papers, showcasing his deep expertise and visionary outlook. 📊📚 Dr. Liu’s pioneering efforts in underwater technology represent a synergy of theory, experimentation, and application across educational and industrial domains.

Publication Top Notes

  • 📸 The Method for Storing a Seabed Photo Map of the During Surveys Conducted by an Autonomous Underwater Vehicle – Drones (2025)

  • 🤖 Fault Tolerant Control in Underwater Vehicles – Journal of Marine Science and Engineering (2024)

Liu Xiaolu | Chemistry and Materials Science | Best Researcher Award

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Liu Xiaolu | Chemistry and Materials Science | Best Researcher Award

Ms Liu Xiaolu, North China Electric Power University, China

🎓 Ms. Liu Xiaolu is a dedicated researcher pursuing her Ph.D. at North China Electric Power University (2022–present), after earning her Master’s (2019–2022) and Bachelor’s (2015–2019) degrees from the same university and Yanshan University, respectively. 🧪 Her research focuses on functional porous nanomaterials and radionuclide separation. 🌍 She has authored 17 papers in prestigious journals like Nat. Commun., Adv. Sci., and Langmuir. 📚 Liu actively participates in global conferences, including ACS Spring 2024. Her groundbreaking work on MOFs, COFs, and electrocatalysis is shaping innovations in energy and environmental applications. ⚡🌱

Publication Profile

Scopus

Education

Ms. Liu Xiaolu 🎓 began her academic journey at Yanshan University, earning her Bachelor’s degree between September 2015 and June 2019 📚. Driven by a passion for further knowledge, she pursued her Master’s degree at North China Electric Power University from September 2019 to June 2022 ⚡. Continuing her academic excellence, she is currently a dedicated Doctoral candidate at the same university since September 2022 📝. Her commitment to education and research showcases her strong determination and academic growth 🌟.

Research Achievement

Ms. Liu Xiaolu is a prolific researcher with 17 first-author publications in prestigious journals like Nature Communications 🌍, Advanced Science 🚀, Langmuir 🌊, and Innovation 💡. Her representative works include papers in Nat. Commun. (2024, 15, 7736), Adv. Sci. (2022, 9, 2201735; 2023, 10, 2303536), J. Mater. Chem. A (2021, 9, 21051-6), and Crit. Rev. Env. Sci. Tec. (2021, 51, 751-790; 2023, 53, 1289-1309) 📚. She has significantly contributed to Environmental Pollution 🌿, Sci. China. Chem. 🧪, and EEH 🔬. Her research showcases innovation and scientific excellence, reflecting her dedication to impactful discoveries. ✨

Academic Conference

Ms. Liu Xiaolu has actively participated in several prestigious conferences, showcasing her expertise in environmental and radiochemistry. 🌍 She attended the 1st Conference of Carbon Research in Guangzhou, China (March 24–26, 2023) and the 12th National Conference on Environmental Chemistry in Wuhan, China (November 17–21, 2023). 🧪 Additionally, she contributed to the Conference of National Radiochemistry Development Strategy and Academic Exchange in Nanchang (October 20–23, 2023). ⚛️ Expanding her global reach, Ms. Liu joined the ACS Spring 2024 Meeting held online from New Orleans (March 17–21, 2024), reflecting her dedication to scientific growth and collaboration. 🌐

Research Interest

Ms. Liu Xiaolu specializes in the design and synthesis of functional porous nanomaterials 🧪, focusing on creating advanced materials with unique structures and properties. Her research also delves into the separation and extraction of radionuclides ⚛️, aiming to enhance techniques for environmental protection and nuclear waste management 🌍. By combining innovative nanotechnology with efficient separation methods, she contributes to sustainable solutions in energy and environmental sciences 💡. Her work bridges the gap between material science and nuclear chemistry, paving the way for safer and cleaner technologies in the future 🚀.

Research Focus

Ms. Liu Xiaolu’s research focuses on advanced materials like Metal-Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), and their derivatives for energy and environmental applications 🌱⚡. Her work explores innovative approaches to electrocatalytic CO₂ reduction, enhancing photocatalytic performance, and piezocatalytic techniques for pollutant degradation 🌍🔬. By modulating the coordination environment of atomically dispersed metals, she aims to improve efficiency in low-overpotential and industrial-scale processes ⚡⚗️. Her research contributes to sustainable solutions for clean energy and environmental remediation, addressing global challenges in pollution control and renewable energy 🌊🌞.

Publication Top Notes

Emerging MOFs, COFs, and their derivatives for energy and environmental applications

Modulating the Coordination Environment of Atomically Dispersed Nickel for Efficient Electrocatalytic CO2 Reduction at Low Overpotentials and Industrial Current Densities

Rational Design of 3D Space Connected Donor–Acceptor System in Covalent Organic Frameworks for Enhanced Photocatalytic Performance

Piezocatalytic techniques and materials for degradation of organic pollutants from aqueous solution

Conclusion

Ms. Liu Xiaolu is a distinguished researcher known for her outstanding publication record 📚, innovative research in environmental and energy applications 🌍⚡, and active participation in international conferences 🌐🎤. Her groundbreaking work contributes significantly to sustainable solutions, addressing global environmental challenges with creativity and expertise 🌱🔬. Ms. Liu’s dedication to advancing knowledge and her impactful presence in the research community make her a highly suitable candidate for the Best Researcher Award 🏆🎓. Her passion for scientific excellence and commitment to global sustainability continue to inspire peers and future researchers alike 🌟💡.

 

 

 

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

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Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Ioannis Chatzilygeroudis, University of Patras, Greece

Prof. Emeritus at the University of Patras, Greece, with a rich educational background in Mechanical and Electrical Engineering (NTUA), Theology (University of Athens), MSc in Information Technology, and a PhD in Artificial Intelligence (University of Nottingham). Fluent in Greek and English, he specializes in AI, KR&R, knowledge-based systems, theorem proving, intelligent tutoring, e-learning, machine learning, natural language generation, sentiment analysis, semantic web, and educational robotics. His prolific research includes a PhD thesis, 18 edited volumes, 21 book chapters, 46 journal papers, 115 conference papers, 8 national conference papers, and 14 workshop papers. 📚🤖💻🌐

Publication profile

Orcid

Education

📚 From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. 🎓 Pursued a Diploma in Mechanical and Electrical Engineering with a specialization in Electronics at the National Technical University of Athens from October 1974 to July 1979. 📜 From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. 📖 Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. 🎓 Earned an MSc in Information Technology from the University of Nottingham in 1989, followed by a PhD in Artificial Intelligence from the same university in 1992. 🧠 Thesis: “Integrating Logic and Objects for Knowledge Representation and Reasoning.”

Experience

📘 From Feb. 1982 to June 1982, I served as a part-time lab professor at PALMER Higher School of Electronics in Greece, teaching Electronics Lab. My full-time teaching journey began at TEI of Athens (1982-84), where I covered courses like Electrotechnics and Circuit Theory. My secondary education tenure (1984-92) focused on electrical engineering subjects. I then transitioned to higher education, teaching at TEI of Kozani and Chalkida, and later at the University of Nottingham (1990-92). From 1995-2006, I was a senior researcher and lecturer at the University of Patras, ultimately becoming a professor (2009-2023). Now, I am a Professor Emeritus. 🎓🔬

Projects

From June 1993 to November 1995, I managed the CTI team for the DELTA-CIME project, developing a knowledge-based production control system. I led several initiatives, including the MEDFORM project for multimedia education and the national project for educational software in chemistry. As a senior researcher, I contributed to intelligent systems for tele-education and hybrid knowledge representation. I led multiple European projects like MENUET, AVARES, and TESLA, focusing on innovative education through virtual reality. My work aims to enhance learning experiences across disciplines, involving collaboration with various international partners. 🌍📚💻🎓

Research focus

Ioannis Hatzilygeroudis specializes in artificial intelligence and its applications in various domains, particularly in agriculture and healthcare. His research includes intelligent systems for diagnosing farmed fish diseases, employing deep learning techniques for image analysis, and exploring natural language processing methods. He has contributed significantly to the development of expert systems and reinforcement learning approaches to improve disease prediction in aquaculture. Additionally, his work in sentiment analysis and e-learning demonstrates a commitment to advancing educational technologies and user experience. Hatzilygeroudis’s interdisciplinary approach combines computer science with practical applications, making significant strides in health and environmental management. 🌱🐟💻📊

Publication focus

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Evaluating Deep Learning Techniques for Natural Language Inference

A Brief Survey of Sim2Real Methods for Robot Learning

E-Learning Courses Evaluation on the Basis of Trainees’ Feedback on Open Questions Text Analysis

Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application