Jin Liu | Algorithm Development | Best Researcher Award

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Dr. Jin Liu | Algorithm Development | Best Researcher Award

Dr. Jin Liu | Algorithm Development – University of Leeds | United Kingdom

Dr. Jin Liu is a dedicated and forward-thinking researcher in the field of railway traffic management and intelligent transportation systems. Currently serving as a Research Fellow at the Institute for Transport Studies, University of Leeds, Dr. Liu has established himself as a key contributor to the development of next-generation transport technologies. His work bridges theory and practice, especially in areas of train rescheduling, real-time traffic control, and AI-driven optimisation methods for complex railway systems. With a solid foundation in electrical engineering and deep expertise in rail operation control systems, Dr. Liu continues to push boundaries in transport innovation through multi-agent systems, digital twins, and AI applications.

Professional Profile

SCOPUS

Education

Dr. Liu began his academic journey with a Bachelor of Engineering in Electrical Engineering and Automation from the Harbin Institute of Technology, China. He then pursued his Master’s degree in Electronic and Electrical Engineering at the University of Birmingham, UK, where he completed a significant final-year project on onboard wheel slip protection systems for high-speed rail. Building on his growing interest in rail systems, Dr. Liu remained at Birmingham to complete his Ph.D., focusing on a multi-agent-based approach for resolving real-time train rescheduling problems in large-scale railway networks. His doctoral work laid the groundwork for much of his subsequent research on optimising railway traffic management using intelligent algorithms.

Professional Experience

Dr. Liu’s academic career commenced at Newcastle University as a Research Assistant and later as a Research Associate in the School of Engineering. He transitioned to the University of Leeds in March 2022, where he now contributes to multiple EU and UK-funded transportation projects. His role in these initiatives often involves the development of advanced algorithms, decision-support tools, and data models for improving operational efficiency in rail and road transport. Dr. Liu also provides leadership in technical project deliverables, industrial collaboration, and conference participation. He has built a reputation for integrating academic research with real-world applications, especially in projects related to electric vehicles, nano-emission tracking, and rail timetable optimisation.

Research Interests

Dr. Liu’s research revolves around modelling, analysis, and optimisation of rail traffic operations, including both passenger and freight services. He is particularly interested in developing energy-efficient train operations, train speed profile optimisation, and multi-agent-based modelling for traffic management. His algorithmic expertise covers both exact methods and meta-heuristic approaches, and he is deeply engaged in applying artificial intelligence—especially reinforcement learning—to real-world transportation challenges. Furthermore, his research encompasses railway system requirements analysis, focusing on RAM (Reliability, Availability, Maintainability), safety and security standards, and the verification and validation of novel railway traffic management applications.

Awards and Professional Engagements

Dr. Liu’s contributions to transport research have been recognised with several prestigious awards and professional memberships. Notably, he is the recipient of the Michael Beverley Innovation Fellowship, the International Researcher Mobility Fund, and has served as a guest speaker at the Birmingham Decarbonisation Summer School. His academic impact is evidenced by his selection as a Program Committee Member for the AI4RAILS 2023 conference and as a session chair at the IEEE ITSC 2023. He also plays a significant role in collaborative transportation initiatives, serving as the Early Career Researcher representative for the Network for Innovative Sustainable Transportation Co-Simulation. Furthermore, his work has been acknowledged among the top ten most downloaded papers of 2023 in his field.

Dr. Liu is an Associate Fellow of the UK’s Higher Education Academy and maintains an active publishing profile, with his research appearing in prestigious journals such as Applied Sciences, IET Intelligent Transport Systems, and Journal of Rail Transport Planning & Management. His research output includes notable work on reinforcement learning applications in train scheduling, system validation in virtual environments, and the assessment of railway operation impacts under hazardous conditions. Through his ongoing projects with European and UK stakeholders—such as Shift2Rail, Network Rail, and the EPSRC—Dr. Liu continues to contribute meaningfully to shaping the future of sustainable, intelligent, and resilient transportation systems.

Publications

A Multi-agent Based Approach for Railway Traffic Management Problems

Authors: J. Liu, L. Chen, C. Roberts, Z. Li, T. Wen
Journal/Conference: 2018 International Conference on Intelligent Rail Transportation (ICIRT)
Year: 2019

Algorithm and peer-to-peer negotiation strategies for train dispatching problems in railway bottleneck sections

Authors: J. Liu, L. Chen, C. Roberts, G. Nicholson, B. Ai
Journal: IET Intelligent Transport Systems
Year: 2019

Use cases for obstacle detection and track intrusion detection systems in the context of new generation of railway traffic management systems

Authors: P. Hyde, C. Ulianov, J. Liu, M. Banic, M. Simonovic, D. Ristic-Durrant
Journal: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Year: 2021

Novel approach for validation of innovative modules for railway traffic management systems in a virtual environment

Authors: J. Liu, C. Ulianov, P. Hyde, A. L. Ruscelli, G. Cecchetti
Journal: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Year: 2022

Formalization and Processing of Data Requirements for the Development of Next Generation Railway Traffic Management Systems

Authors: A. Magnien, G. Cecchetti, A. L. Ruscelli, P. Hyde, J. Liu, S. Wegele
Journal: Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification (Book/Conference Proceedings)
Year: 2022

Weiren Huang | Genomic Data Analytics | Best Researcher Award

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Dr. Weiren Huang | Genomic Data Analytics | Best Researcher Award

Dr. Weiren Huang | Genomic Data Analytics – The First Affiliated Hospital of Shenzhen University, Department of Urology, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital | China

Dr. Weiren Huang is a pioneering researcher and principal investigator at The First Affiliated Hospital of Shenzhen University, working within the Department of Urology and the Shenzhen Institute of Translational Medicine. Recognized for his significant contributions to synthetic biology and its therapeutic applications in oncology, Dr. Huang has emerged as a national figure in precision gene circuit design and tumor-targeted interventions. As Deputy Director of the Synthetic Biology Committee under the China Medicinal Biotechnology Association and a committee member of several national scientific panels, he continues to drive innovation at the intersection of engineering biology and translational medicine. His work is transforming bladder cancer treatment through personalized, programmable therapeutics that hold promise for clinical implementation.

Professional Profile

ORCID

Education

Dr. Huang earned his Ph.D. in a highly competitive program from Sun Yat-sen University, one of China’s premier research institutions. This rigorous academic foundation enabled him to integrate core knowledge in molecular biology, biomedical engineering, and translational medicine. His doctoral research set the stage for a career focused on genetic control systems and their application in oncology, especially through synthetic biology platforms. His educational background laid a solid groundwork for interdisciplinary research, bringing together urology, gene therapy, and bioengineering in a seamless and impactful way.

Experience

With extensive experience as Principal Investigator in national and regional research programs, Dr. Huang has led critical projects supported by the Ministry of Science and Technology of China, Shenzhen Science and Technology Innovation Commission, and Shenzhen Medical Research Fund. These initiatives address emerging clinical needs using genetic circuitry, tumor organoid modeling, and synthetic therapeutics. His notable leadership includes the National Key R&D Program project focused on microenvironment remodeling via gene circuits, where he directed a team on an ¥18.53 million venture that concluded successfully in 2024. As a research leader, he has managed multidisciplinary teams in high-throughput drug screening, cancer modeling, and cell-factory development, ensuring the translational potential of every scientific outcome.

Research Interest

Dr. Huang’s research interests center on synthetic biology, specifically the design and deployment of gene circuits for bladder cancer therapy. His approach involves integrating programmable gene expression modules with delivery vectors that selectively induce pyroptosis in tumor cells, ensuring minimal off-target effects. Another major focus is the use of tumor organoid chips to create personalized models that can evaluate drug sensitivity and gene circuit performance under near-physiological conditions. His work also touches on tumor microenvironment remodeling, examining how synthetic control systems can modulate immune responses and cellular signaling to enhance therapeutic outcomes. His unique angle lies in the development of cell factories and controllable gene expression systems that bridge lab innovation and clinical feasibility.

Awards

Dr. Huang has received significant recognition for his scientific contributions, including the prestigious Chinese Medical Science and Technology Award. He is also a recipient of the Guangdong Provincial Special Support Program for Distinguished Talents, placing him among the Top 100 Scholars of Guangdong. These accolades reflect not only his leadership in synthetic biology but also his broader influence on China’s biomedical innovation ecosystem. His ability to translate benchside discoveries into actionable therapies has earned him a reputation as a transformative scientist and clinician-researcher.

Publications

BCG therapy in bladder cancer and its tumor microenvironment interactions

Authors: Ni Jian, Lei Yu, Lijuan Ma, Binbin Zheng, Weiren Huang, Christopher Staley, Aaron Miller
Journal: Clinical Microbiology Reviews
Year: 2025

CD133⁺PD-L1⁺ cancer cells confer resistance to adoptively transferred engineered macrophage-based therapy in melanoma

Authors: Jiaojiao Xu, Zhe Li, Qinli Tong, Sihang Zhang, Jianchen Fang, Aihua Wu, Guoguang Wei, Chen Zhang, Sheng Yu, Binbin Zheng, et al.
Journal: Nature Communications
Year: 2025

Modulation of SRSF2 expression reverses the exhaustion of TILs via the epigenetic regulation of immune checkpoint molecules

Authors: Ziqiang Wang, Kun Li, Wei Chen, Xiaoxia Wang, Yikun Huang, Weiming Wang, Wanjun Wu, Zhiming Cai, Weiren Huang
Journal: Cellular and Molecular Life Sciences
Year: 2020

Mazhar Ahmed Memon | CO2 Reduction | Best Researcher Award

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Dr. Mazhar Ahmed Memon | CO2 Reduction | Best Researcher Award

Dr. Mazhar Ahmed Memon | CO2 Reduction – Tianjin University | China

Dr. Mazhar Ahmed Memon is a dynamic and driven researcher in the field of Chemical Engineering, with a focused specialization in catalysis for carbon dioxide (CO₂) conversion into sustainable fuels. Backed by over eight years of engineering and research experience, he has cultivated a profound understanding of catalyst synthesis, surface characterization, and process optimization. His ongoing Ph.D. research at Tianjin University, China, is centered on the effect of dopants on Ni/ZrO₂-based catalysts for CO₂ methanation, positioning him at the forefront of environmentally conscious energy innovation. As the founder and team leader of DCUBE Engineering Solutions, Dr. Memon blends technical prowess with entrepreneurial spirit, leading projects with a strategic vision for sustainability and innovation.

Professional Profile

SCOPUS | ORCID | GOOGLE SCHOLAR

Education

Dr. Memon holds a Ph.D. in Chemical Engineering from Tianjin University, where his research contributes to global carbon mitigation strategies through advanced catalytic processes. His doctoral work investigates the role of dopants in enhancing Ni/ZrO₂-based catalysts for CO₂ methanation. He previously earned a Master of Engineering in Petroleum Engineering (2019) and a Bachelor of Engineering in Petroleum & Natural Gas Engineering (2016), both from Mehran University of Engineering and Technology, Pakistan. His academic journey is marked by government-sponsored scholarships and a consistent focus on energy production optimization, laying a strong foundation for his research trajectory.

Experience

Dr. Memon’s career spans roles in academia, research, and industry. Since 2020, he has led DCUBE Engineering Solutions, a company dedicated to energy and infrastructure services, where he manages strategic growth, resource allocation, and project development. Prior to this, he served as Project Engineer and Assistant to the Chief Operating Officer at A.U Engineering Construction & Pvt. Limited (2016–2019), gaining critical experience in project execution, compliance audits, and pipeline construction methods. His blend of hands-on engineering, leadership, and business acumen equips him to drive impactful, multidisciplinary initiatives in research and development sectors.

Research Interests

His research interests lie at the intersection of catalysis, environmental engineering, and sustainable energy. He focuses on CO₂ methanation, catalyst development and modification, and the application of advanced materials such as perovskites for enhanced catalytic activity. Dr. Memon is skilled in material characterization techniques including HR-TEM, XPS, XRD, BET, and TGA. His broader aim is to contribute to the advancement of carbon capture, utilization, and storage (CCUS) technologies, thereby addressing critical challenges in climate change and renewable energy systems.

Awards & Recognitions

Dr. Memon’s academic and research excellence has earned him several accolades. He received a prestigious Ph.D. scholarship from the Chinese Scholarship Council (CSC) and a Federal Government Scholarship for his master’s studies, both testaments to his scholarly promise. During his undergraduate studies, he was awarded a laptop by the Prime Minister of Pakistan for his outstanding performance. He has also been acknowledged by the Society of Petroleum Engineers (SPE) International for his volunteer contributions and served as a student chapter representative at the PAPG-SPE Technical Conference. Additionally, he has presented innovative CO₂ modeling tools and gas-lift optimization systems in academic competitions.

Publications

Heterogeneous Catalysts for Carbon Dioxide Methanation: A View on Catalytic Performance

  • Authors: YL Mazhar Ahmed Memon, Yanan Jiang, Muhammad Azher Hassan, Muhammad Ajmal, …

  • Journal: Catalysts

  • Year: 2023

Ni–CaZrO₃ with perovskite phase loaded on ZrO₂ for CO₂ methanation

  • Authors: MA Memon, W Zhou, M Ajmal, Y Jiang, C Zhang, J Zhang, Y Liu

  • Journal: International Journal of Hydrogen Energy, Vol. 92, pp. 1202–1213

  • Year: 2024

Active pairs of Cu⁰/Cu⁺ for CO₂ hydrogenation

  • Authors: W Zhou, MA Memon, M Niu, X Fan, Y Jiang, X Zhang, Y Liu

  • Journal: International Journal of Hydrogen Energy, Vol. 104, pp. 49–58

  • Year: 2025

Ligand-regulated Ni-based coordination compounds to promote self-reconstruction for improved oxygen evolution reaction

  • Authors: M Ajmal, X Guo, MA Memon, M Asim, C Shi, R Gao, L Pan, X Zhang, …

  • Journal: Journal of Materials Chemistry A, Vol. 12 (29), pp. 18294–18303

  • Year: 2024

Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements

  • Authors: S Ameen, MU Farooq, S Umer, A Abrar, S Hussnain, F Saeed, MA Memon, …

  • Journal: International Journal of Hydrogen Energy

  • Year: 2024

Understanding the Well Control Procedures for optimizing the Well Control System during Drilling

  • Authors: GZB Muhammad Arsalan Sultan, Mazhar Ahmed, Muzamil Ali

  • Journal: American Journal of Computing and Engineering, Vol. 5 (2), pp. 24–38

  • Year: 2022

Huayue Liang | Data Analysis Innovation | Best Researcher Award

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Dr. Huayue Liang | Data Analysis Innovation | Best Researcher Award

Dr. Huayue Liang | Data Analysis Innovation – Wuhan University of Technology | China

Dr. Huayue Liang is a distinguished materials scientist and researcher from Wuhan University of Technology, China, whose work sits at the intersection of glass science, inorganic materials, and functional property optimization. With a strong foundation in materials engineering and a keen focus on the structure-property relationship in glassy systems, Dr. Liang has contributed significantly to the understanding and manipulation of metal halide phases in borosilicate glass matrices. Her recent research in controlled precipitation and polarization properties of CuCl grains demonstrates her expertise in microstructural tuning for advanced functional applications. She is recognized for her ability to combine experimental innovation with advanced data analysis to derive high-performance materials.

Professional Profile

SCOPUS

Education

Dr. Liang pursued her academic training in materials science and engineering, with a specialized focus on inorganic non-metallic materials. Her rigorous educational background has equipped her with comprehensive expertise in physical chemistry of glass, solid-state ionics, and structural characterization techniques. She received her advanced degrees from top-tier Chinese institutions, where she developed a deep interest in the behavior of crystalline phases embedded in amorphous systems. Her graduate and postgraduate education emphasized both theoretical modeling and practical applications, laying the groundwork for a successful career in high-impact research.

Professional Experience

As a faculty researcher at Wuhan University of Technology, Dr. Liang has been actively involved in academic teaching, scientific research, and collaborative industrial projects. She has supervised postgraduate theses, led laboratory-based research initiatives, and contributed to the university’s mission to bridge fundamental science with engineering innovation. Her role includes designing and executing experimental setups to study the behavior of embedded crystalline particles in glassy matrices under various thermal and chemical conditions. She also plays a pivotal role in developing new methods for the synthesis and evaluation of glass-ceramic materials. Her contributions have advanced the field’s understanding of polarization mechanisms and ion migration behaviors in modified glass structures.

Research Interests

Dr. Liang’s research revolves around the precipitation behavior of metal halides, particularly CuCl crystals, in alkali-borosilicate glass matrices, and their influence on electrical polarization properties. She is deeply engaged in exploring how microstructural control at the nanoscale can tailor functional performance in glass materials, particularly for electronic and optoelectronic applications. Her research extends into controlled crystallization, ion exchange processes, glass-ceramic interface phenomena, and data-driven materials design. Leveraging modern analytical tools and modeling techniques, she aims to engineer glasses with enhanced dielectric, ionic conductivity, and optical performance. The integration of data analysis and materials simulation plays a critical role in her approach, helping to unravel complex multivariable phenomena in glass systems.

Awards and Recognition

Dr. Liang has been honored with the Data Analysis Innovation Award for her pioneering research on CuCl precipitation control and its impact on glass polarization behavior. This recognition highlights her contribution to both materials innovation and the effective application of computational tools in experimental science. She has also received acknowledgments from university research forums and national-level academic bodies in China for her excellence in materials chemistry and her role in advancing sustainable glass-based technologies. Her award-winning work stands as a benchmark in applying advanced data analytics to optimize processing and performance in complex materials systems.

Publications

🧫 Controlled precipitation and polarization properties of CuCl grains in alkali-borosilicate glass – Journal of Alloys and Compounds, 2025 📘 | Cited in studies on ion transport in glass-ceramics.

 

Srinithi Jeyachandran | Optimization Techniques | Young Researcher Award

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Dr. Srinithi Jeyachandran | Optimization Techniques | Young Researcher Award

Dr. Srinithi Jeyachandran | Optimization Techniques – Kalasalingam Academy of Research and education | India

Dr. Srinithi Jeyachandran is a dynamic academician and researcher in the field of Chemical Engineering and Ceramic Technology. With a strong foundation in advanced material development, thermochemical processes, and sustainability, she blends academic excellence with hands-on research in solving real-world industrial and environmental challenges. Her passion lies in applying innovative chemical technologies for sustainable energy, clean water systems, and environmental remediation. Currently serving as Assistant Professor and Head-in-Charge at Kalasalingam Academy of Research and Education, Tamil Nadu, she continues to influence the next generation of engineers through innovative teaching and impactful research.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education

Dr. Jeyachandran holds a Ph.D. in Chemical Engineering from Anna University, Chennai, where her doctoral research focused on cardanol-derived thermoset hybrid-coated cotton fabrics for oil-water separation. She earned her M.Tech in Ceramic Technology from the prestigious Anna University (AC Tech Campus), exploring the synthesis and characterization of magnetic nano-materials. She began her engineering journey with a B.Tech in Chemical Engineering from Mohamed Sathak College of Engineering and Technology. Her academic career has consistently been marked by excellence, demonstrated through high CGPA scores and a focused research orientation.

Academic and Professional Experience

Dr. Srinithi brings over 6 years and 4 months of dedicated academic experience. She is currently an Assistant Professor and Head-in-Charge at Kalasalingam Academy of Research and Education. She has previously served in multiple reputed institutions such as Veltech High-tech Dr. Rangarajan & Dr. Sakunthala Engineering College and St. Michael College of Engineering and Technology. Her roles span across teaching core chemical engineering subjects, curriculum development, research mentoring, and organizing industrial collaborations. She has coordinated academic events, supervised student projects, conducted workshops, and mentored teams for national-level competitions, including Smart India Hackathon.

Research Interests

Dr. Srinithi’s research spans a wide spectrum of chemical process engineering, nanomaterial synthesis, and green technologies. Her core interests include heat and mass transfer, superhydrophobic surfaces, oil-water separation, bio-diesel production, and heterogeneous catalysis. Her doctoral and master’s research work has contributed to developing efficient materials for environmental separation technologies and fuel processing. She is particularly interested in the development of organic–inorganic hybrid materials, transesterification for biodiesel, and IoT-powered treatment systems, aligning closely with sustainable development goals.

Patents and Innovation

Demonstrating innovation in applied science, Dr. Srinithi holds two patents. One of them outlines an IoT-based solar-powered wastewater treatment system, reflecting her commitment to merging renewable energy with environmental cleanup. The second patent features a radio-controlled valve system for pasteurization, integrated with deep reinforcement learning models—an intersection of AI and chemical engineering. Her work reflects a forward-thinking approach to automation and smart manufacturing processes.

Awards and Recognition

Dr. Srinithi’s dedication to research and academic quality has earned her accolades such as the Young Researcher Award during SRM CDBEST 3.0 and a Reviewer Excellence Award from the Asian Journal of Current Research. These recognitions reflect her ongoing contributions to the scientific and academic community, both as a researcher and a peer-reviewer.

Professional Engagement and Contributions

She is an active member of the Indian Ceramic Society and has contributed significantly to various academic committees and symposiums, including CHEMZONE and CONCERT. Dr. Srinithi has organized and attended multiple Faculty Development Programs (FDPs), workshops, and guest lectures on emerging topics like smart cities, food technology, and safe plant design. She also contributes to MOOC platforms, NPTEL content, and ISO documentation, showing her multifaceted role in institutional development.

Publications

🧪 Layer-by-layer silica and cardanol epoxy modified cotton fabric for oil–water separation – Silicon (2023) 📘 | SCI | IF: 2.8 | Cited in works on durable superhydrophobic textiles.
🌊 Silica-assisted superhydrophobicity using cardanol polybenzoxazine coatings – Silicon (2023) 📘 | SCI | IF: 3.2 | Referenced in oil–water separation and surface engineering research.
⚗️ Experimental & simulation analysis to predict biodiesel yield using heterogeneous catalysts – IJRASET (2023) 🔬 | Scopus | Cited in biodiesel process modeling studies.
🌱 Biodiesel: Review on production techniques and raw material economics – IJSREM (2022) 📚 | Scopus | Quoted in renewable energy and economic feasibility research.
🧲 Synthesis of (Ni, Cu, Zn) ferrite composites by ball milling – Journal of Chemical and Pharmaceutical Sciences (2016) 🔍 | IF: 0.4 | Cited in nanostructured ferrite material analysis.

 

Xinyu Dou | Real-world Case Studies | Best Researcher Award

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Dr. Xinyu Dou | Real-world Case Studies | Best Researcher Award

Dr. Xinyu Dou | Real-world Case Studies – The University of Hong Kong | China


Dr. Xinyu Dou is a dynamic scholar in the field of educational research, specializing in the intersection of dance education, creative thinking, and digital pedagogy. Currently a PhD student at the Faculty of Education, The University of Hong Kong, Dr. Dou is deeply engaged in advancing research that bridges traditional performing arts with contemporary educational technologies. Her work is recognized for its interdisciplinary approach, integrating creativity, AI tools, and media processing technologies to foster innovation in education. Her dedication to both theoretical and applied research in education makes her a rising figure in international academic circles.

Professional Profiles

GOOGLE SCHOLAR

Education

Dr. Dou’s academic journey began with a Bachelor of Fine Arts in Musicology (2015–2019) at Zhengzhou University, where she cultivated a strong foundation in musical and cultural aesthetics. This was followed by a Master of Fine Arts in Choreography (2020–2023), also from Zhengzhou University, where she explored the artistic and cognitive aspects of dance creation. In 2024, she commenced her doctoral studies at The University of Hong Kong, one of Asia’s leading institutions, where she continues to deepen her expertise in educational theory, digital pedagogy, and curriculum studies, with a special focus on arts education.

Experience

Dr. Dou has a balanced portfolio of teaching and research experience. From 2025 to 2026, she served as a part-time lecturer at The University of Hong Kong, co-teaching the postgraduate-level course Project Management for the Master of Library and Information Management program. Her role involved delivering lectures, leading seminars, developing assessment rubrics, grading, and aligning the curriculum with both theoretical frameworks and real-world applications. Additionally, her research roles include contributions to several major funded projects in China, such as studies on value-added music education, ideological-political curriculum integration in the arts, and the impact of digital technology on university-level ideological training. These roles demonstrate her capacity for teamwork, data analysis, and theoretical modeling in complex education environments.

Research Interests

Dr. Dou’s research interests are broad yet interconnected. She focuses on AI in education, particularly its implications for creative pedagogy and student engagement. She also explores digital media processing technology, analyzing how tools such as free-view video and ChatGPT can enhance classroom performance and learning creativity. Her commitment to developing creative thinking and innovative teaching methods, especially in the context of choreography and dance education, positions her work at the cutting edge of interdisciplinary education. Additionally, she has a strong interest in project evaluation, particularly in the higher education context, where she has worked with regression models and other quantitative tools to assess educational effectiveness.

Awards and Recognition

While specific awards are not mentioned in the current record, Dr. Dou has received recognition for her research expertise through peer reviewer roles for multiple high-impact international journals. These include Psychological Reports, Journal of Educational Technology & Society, and Technology, Pedagogy & Education, all of which are indexed in SSCI. These responsibilities highlight her academic credibility and the trust placed in her by the global research community to evaluate scholarly work in her areas of expertise.

Publications

🧠 The linkage cultivation of creative thinking and innovative thinking in dance choreography – Thinking Skills and Creativity (2021), Cited by 54
🕺 Improvisational dance-based psychological training of college students’ dance improvement – Frontiers in Psychology (2021), Cited by 22
🌀 Interactive association of negative creative thinking and malevolent creative thinking – Frontiers in Psychology (2022), Cited by 5
📚 Can free-view media processing technology improve classroom performance? – Technology Pedagogy and Education (2024), Cited by 3
🤖 The aid of ChatGPT to dance education: a theoretical exploration based on TPACK – Research in Dance Education (2024), Cited by 1
🎓 Evaluating the research quality of dance education articles in China: implications for internationalization of dance education in peripheral countries – Research in Dance Education (2025)
🇨🇳🎨 Chinese dance curriculum politics and students’ creativity – Research in Dance Education (2025)

 

Madhab Chandra Jena | Environmental Engineering | Best Researcher Award

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Dr. Madhab Chandra Jena | Environmental Engineering | Best Researcher Award

Dr. Madhab Chandra Jena | Environmental Engineering – BPUT | India

Dr. Madhab Chandra Jena is a dynamic and multidisciplinary professional in the field of mechanical engineering, energy sustainability, and industrial operations. With a career spanning over two decades, Dr. Jena has made substantial contributions across sectors such as cement manufacturing, packaging, printing, and renewable energy. Born in Odisha, India, he is the founder of the Om Krishna Arts and Science Research Association and a prolific author in both scientific and literary domains. Known for his holistic vision and leadership acumen, Dr. Jena has held top-level positions including Chief Operating Officer and Plant Head in reputed organizations such as ACC Cement Ltd., ITC Ltd., Everest Industries Ltd., and Ricron Panels Pvt. Ltd.

Professional Profiles

SCOPUS

ORCID

GOOGLE SCHOLAR

Education

Dr. Jena holds a PhD in Mechanical Engineering with a specialization in Sustainable Energy and Environment from Biju Patnaik University of Technology (BPUT), Odisha, India, with an impressive 8.5 CGPA. He earned his M-Tech in Production Engineering, B.E. degrees in both Mechanical and Electrical Engineering, and an MBA in Production Management. Additionally, he is a Certified Energy Manager and Auditor (BEE, Govt. of India) and a Certified Machinery Safety Expert (CMSE). His certifications from prestigious institutions like MIT (USA) and IIT Kharagpur in Six Sigma, Cost Accounting, Supply Chain, and Industrial Safety further amplify his technical prowess and industry-readiness.

Professional Experience

With a wealth of hands-on experience, Dr. Jena has worked across cement plants, fiber cement sheet manufacturing, flexible and offset packaging, and plastic processing industries. As COO and Plant Head, he has led operations in multi-location units with strategic responsibilities covering EHS compliance, production planning, budgeting, quality control, maintenance, and team leadership. He has contributed to commissioning major projects including kilns, ball mills, crushers, and pollution control systems. His operational exposure at ITC Ltd. extended to handling multi-product units including snack, soap, sanitizer, dairy, and paperboard plants, reflecting his versatile engineering command.

Research Interests

Dr. Jena’s research spans a wide spectrum of areas including Industry 4.0 integration, sustainable manufacturing, root cause analysis models, environmental impact assessment, renewable energy optimization, and reliability engineering. He is the creator of several industry-specific analytical frameworks such as the Hat Curve of Reliability, EEE Impact Analysis, RCA Pyramid, RISCC Model, and the POP Index for plant performance. These models have found both academic recognition and real-world implementation across sectors for improving safety, operational efficiency, and sustainability.

Awards and Recognitions

Dr. Jena is a recipient of two Golden Peacock Awards, two International Safety Awards, and two consecutive National Safety Council Awards for outstanding plant safety and sustainability efforts during his tenure at ITC Ltd. Munger. His instrumental role in reviving the Kalyanpur Cement plant from a loss-making entity into a profitable venture stands as a remarkable achievement in industrial leadership. He has also been honored for his innovative contributions in maintenance optimization, energy savings, and plant reliability enhancement.

Publications

Application of Industry 4.0 to enhance sustainable manufacturing – Wiley (2020), Cited by 112 📊
Air pollution from cement plants: case study on particulate matter in Bihar, India – Taylor & Francis (2020), Cited by 7 🌍
Experimental investigation on power consumption of an industrial fan with different flow control methods – Wiley (2016), Cited by 5 ⚙️
A study on EEE impact of fuels used in boilers to assist fuel conversion decisions – Wiley (2023), Cited by 4 🔋
Effect of Particle Size on Collection Efficiency of ESP and RABH – Springer (2019), Cited by 4 🌫️
Integration of Industry 4.0 with Reliability-Centered Maintenance to enhance sustainable manufacturing – Wiley (2024), Cited by 2 💡
A study on fire risk and mitigation in gravure printing press – Thermal Science and Engineering (2024), 🔥

 

khedher Ibtissem | Predictive Analytics | Best Researcher Award

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Dr. khedher Ibtissem | Predictive Analytics | Best Researcher Award

Dr. khedher Ibtissem | Predictive Analytics – National school of computer science | Tunisia

Ibtissem Khedher is a highly dedicated academic and researcher in computer science with a deep-seated passion for intelligent systems, machine learning, and digital safety applications. With nearly a decade of teaching and research experience across Tunisian institutions, she has consistently demonstrated a commitment to advancing computer science education while contributing meaningfully to cutting-edge domains such as crowdsourcing, road safety intelligence, and functional programming. Her work reflects a rare blend of academic rigor and practical impact, especially in the emerging intersection of artificial intelligence and public safety. Ibtissem is a proactive contributor to the scientific community through conferences, peer-reviewed journals, and scholarly engagements that bridge academia with societal relevance.

Professional Profile

ORCID

Education

Ibtissem is currently pursuing her Ph.D. in Computer Science at the National School for Computer Science, Manouba University, in collaboration with the LTSIRS Laboratory at the National Institute of Applied Sciences and Technology, University of Carthage. Her doctoral research focuses on intelligent models for enhancing road safety within smart city frameworks. She holds a Master’s research degree (2013–2015) in Knowledge and Distributed Systems, completed under a joint collaboration between the University of Jendouba and the LIRIS Laboratory at the University of Lyon 1, France. Her Master’s thesis tackled trust evaluation in web services through Sybil-tolerant systems. She also obtained a national diploma in Applied Computer Science to Management (2010–2013), with her study project exploring spatio-temporal modeling of land use changes — reflecting early intersections between GIS and computation in her academic journey.

Experience

Ibtissem has built a rich academic teaching portfolio since 2016, working with multiple institutions such as the Faculty of Legal and Economic Sciences and Management of Jendouba, the Higher Institute of Technological Studies of Jendouba, and the Higher Institute of Computer Science of Kef. She has taught a diverse range of subjects including object-oriented programming, distributed systems, project management, database administration, multimedia techniques, and web application security. Her teaching experience is marked by a strong pedagogical foundation and consistent contribution to undergraduate and applied technological programs, nurturing student skills in both theoretical and practical computer science.

Research Interests

Her research interests are multifaceted and evolving, centered around machine learning, deep learning, geographic information systems (GIS), functional programming languages, and crowdsourcing platforms. More recently, she has been devoted to the use of artificial intelligence to enhance road safety in smart cities. Through novel classification and clustering techniques, she addresses real-world challenges such as accident prediction, traffic severity analysis, and safety recommendation systems. Her interdisciplinary focus integrates data science, urban informatics, and human-computer interaction, aimed at deploying scalable solutions for intelligent transportation systems.

Awards and Recognition

Ibtissem’s consistent research outputs and participation in international conferences have earned her recognition within academic circles. She has attended and presented at ranked conferences such as CODIT, INISTA, and WISE, and her scholarly publications have appeared in top-tier journals like World Wide Web (Q1) and SN Computer Science (Q2). She has completed multiple international training sessions in scientific writing, peer reviewing, and publication platforms such as Springer Nature and Scopus, highlighting her ongoing engagement with scholarly best practices. She is also certified in professional manuscript writing, entrepreneurship, communication, and academic search techniques, reflecting her broad academic versatility.

Publications

Khedher, I., Faci, N., & Faiz, S. (2025). “Safe-Path: A Perspective on Next-Generation Road Safety Recommendations” in Proceedings of WISE 2024, Springer. [DOI: 10.1007/978-981-96-0573-6_30] (Cited by 5)
Khedher, I., Rjaibi, N., Khedher, M., & Faiz, S. (2025). “An Analytical Framework for Clustering Roads Based on Crash Severity Analysis” in SN Computer Science. [DOI: 10.1007/s42979-025-04097-9] (Cited by 7)

Lan Wu | Emerging Research Trends | Best Researcher Award

Published on by Research Data Analysis

Dr. Lan Wu | Emerging Research Trends | Best Researcher Award

Dr. Lan Wu | Emerging Research Trends –  University of Technology Sydney (UTS) | Australia

Dr. Lan Wu is a highly accomplished Postdoctoral Research Fellow at the University of New South Wales (UNSW), with a dynamic profile in environmental biotechnology, wastewater treatment, and industrial collaboration. Since 2025, she has contributed to both academia and industry through her concurrent roles as a guest lecturer at UNSW, an emissions and decarbonisation analyst at GHG Analytics Pty Ltd, and an active collaborator with prominent companies such as The Kanoo Group and TasWater. Her multifaceted contributions are centered around optimizing emissions reporting strategies and innovating energy-efficient environmental systems, bridging academic research and industrial impact.

Professional Profile

SCOPUS

ORCID

Education

Dr. Wu’s educational journey reflects academic excellence and international reach. She earned her Ph.D. in Environmental Engineering from the University of Technology Sydney (UTS) in 2023. Prior to this, she completed her Master’s degree in Environmental Engineering in 2018 and a Bachelor’s degree in the same field in 2014 from the Ocean University of China. Her academic formation laid a robust foundation for a research-intensive and innovation-driven career in environmental sustainability and resource recovery.

Experience

Her professional experience spans research, teaching, and industrial consultancy. Between 2023 and 2025, Dr. Wu served as a postdoctoral researcher at UTS, where she co-supervised Ph.D. students and forged vital industry-academic partnerships. Concurrently, she has been involved in teaching across various capacities since 2019, delivering core environmental engineering subjects such as Renewable Energy Technologies, Sanitation Engineering, and Capstone Projects. In 2025, she took on new roles at UNSW and GHG Analytics, focusing on emissions management and low-carbon solutions for leading organizations. Her expertise is also actively shared through public seminars and international collaborations, marking her as a nexus of scientific research and practical application.

Research Interest

Dr. Wu’s research revolves around transformative environmental technologies and processes. Her interests include wastewater and sludge management, anaerobic digestion, biowaste-to-energy conversion, micro/nanoplastics toxicology, environmental material innovation, and bioprocess modeling. She is particularly engaged in developing integrated systems that convert organic waste into valuable biofuels, as evidenced by her leadership in major collaborative projects and pitch competitions. Additionally, she contributes to policy-relevant topics like emissions reduction and sustainable wastewater practices.

Awards and Recognition

Recognized both nationally and internationally, Dr. Wu has received multiple prestigious awards. These include being a finalist in the 2024 CISRO On Acceleration Program and the UTS Research Translation Competition, both placing her in the top 5% of participants. She has also earned accolades such as the UTS Post Thesis Award (2023), the HDR Students Excellence Award (Top 2%, 2022), and the WiEIT Award (Top 5%, 2022). Her earlier achievements include competitive Chinese national scholarships, such as the Roberto Rocca Education Program Scholarship and the China Scholarship Council Award for Ph.D. study abroad. These honors collectively reflect her academic excellence, research leadership, and social contribution.

Publication

Liu, X., Wei, W., Chen, Z., Wu, L., Duan, H., Zheng, M., Wang, D., & Ni, B.J. (2025). “The threats of micro- and nanoplastics to aquatic ecosystems and water health” in Nature Water (Cited by 12).
Qian, J., Bai, S., Wu, L., Geng, M., Chen, G., & Jiang, F. (2025). “Energy recovery from corn straw-based biochar@MIL-88A(Fe)-mediated anaerobic digestion of waste activated sludge under norfloxacin: metabolism and antibiotic resistance gene fates” in Journal of Environmental Sciences (Cited by 3).
Xu, W., Wu, L., Geng, M., Zhou, J., Bai, S., Nguyen, D.V., Ma, R., Wu, D., & Qian, J. (2025). “Biochar@MIL-88A(Fe) accelerates direct interspecies electron transfer and hydrogen transfer in waste activated sludge anaerobic digestion: Exploring electron transfer and biomolecular mechanisms” in Environmental Research (Cited by 5).
Wang, Y., Wu, S.-L., Wei, W., Wu, L., Huang, S., Dai, X., & Ni, B.J. (2025). “pH-dependent medium-chain fatty acid synthesis in waste activated sludge fermentation: Metabolic pathway regulation” in Journal of Environmental Management (Cited by 8).
Wang, C., Wei, W., Wu, L., Liu, X., Duan, H., Chen, Z., Hou, Y.-N., Chen, X., & Ni, B.J. (2024). “Electron Donor-Driven Microalgae Upgrading into High-Value Fatty Acids via a Microbial Platform” in ACS ES&T Engineering (Cited by 10).
Wu, L., Wei, W., Ni, B.J. (2023). “Microplastics inhibition in waste-to-energy conversion: understanding biochemical barriers” in Bioresource Technology (Cited by 22).
Wu, L., Wei, W. (2019). “Syngas fermentation for biofuel production from organic waste streams” in Renewable Energy (Cited by 19).