Abbas Hashemizadeh | Enahnced Oil Recovery | Best Researcher Award

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Dr. Abbas Hashemizadeh | Enahnced Oil Recovery | Best Researcher Award

Assistant Prof., University of Qom, Iran

Dr. Abbas Hashemizadeh is a distinguished petroleum engineer with robust academic, industrial, and research experience in enhanced oil recovery (EOR), drilling engineering, and corrosion mitigation. He is currently serving as an Assistant Professor at Hakim Sabzevari University and a Visiting Professor at Amirkabir University of Technology, Tehran, Iran. With a Ph.D. in Petroleum Engineering and a GPA of 19.04/20, Dr. Hashemizadeh’s academic journey reflects excellence. His work explores innovative applications of machine learning in reservoir modeling, drilling optimization, and smart fluids. He has authored numerous peer-reviewed publications, contributing significantly to petroleum science. With his experience as a Company Man Engineer at the Iranian Central Oil Fields Company, Dr. Hashemizadeh bridges academic theory with field practicality. His research has been cited globally and is known for its interdisciplinary approach, incorporating chemistry, data science, and reservoir simulation. He is a potential candidate for recognition through the Enhanced Oil Recovery Award.

Professional Profile

🎓 Education

Dr. Abbas Hashemizadeh holds a Ph.D. in Petroleum Engineering from Amirkabir University of Technology, Tehran (2018), where he graduated with an exceptional GPA of 19.04/20. His academic excellence is complemented by international exposure through the prestigious Excellence Research Programme at the University of Santiago de Compostela, Spain, in 2016. Prior to his doctoral studies, he earned an M.Sc. in Petroleum Engineering from Sahand University of Technology, Tabriz (2008), with a GPA of 17.26/20. He began his academic journey with a B.Sc. in Petroleum Engineering from the Petroleum University of Technology, Ahwaz (2006), achieving a GPA of 16.21/20. Throughout his educational path, Dr. Hashemizadeh demonstrated consistent scholarly dedication and a strong foundation in petroleum sciences, fluid mechanics, and applied geomechanics, laying the groundwork for his innovative contributions to drilling, enhanced oil recovery, and corrosion science.

💼 Experience

Dr. Hashemizadeh has over 15 years of integrated academic and industrial experience. He is currently an Assistant Professor at the Petroleum & Petrochemical Engineering School, Hakim Sabzevari University (since 2010), where he has also served as Head of the Petroleum Engineering Department and Vicar of the Faculty. Since 2012, he has held the title of Visiting Professor at Amirkabir University of Technology, mentoring graduate students and conducting interdisciplinary research. Parallel to his academic work, he worked as a Company Man Engineer at the Iranian Central Oil Fields Company (ICOFC) from 2014 to 2019, handling field-level drilling operations and production monitoring. Earlier in his career, he trained as a Driller Trainee at Oriental Oil Kish Company. This rare blend of academic and hands-on industry experience enriches his teaching and enhances the real-world relevance of his research in enhanced oil recovery and drilling optimization.

🔬 Research Focus

Dr. Hashemizadeh’s research lies at the intersection of Enhanced Oil Recovery (EOR), drilling engineering, corrosion science, and machine learning applications in petroleum systems. His studies on magnetic water flooding, polymer injection, and acid gas EOR contribute to more sustainable and efficient oil extraction. He has explored how magnetic fields can enhance HCl behavior in acidizing and reduce casing corrosion. He also integrates machine learning—using support vector machines, KNN, and ensemble models—to predict parameters like mud density and rate of penetration. This hybrid of field experimentation and computational intelligence enables smarter, cost-effective decisions in wellbore and reservoir management. His recent focus on microbial degradation and polymeric nanoparticles for drilling fluids expands the EOR toolkit. He continues to explore novel simulation methods for fractured reservoirs and their geomechanical implications. His work positions him at the forefront of intelligent oilfield technologies.

📚 Publication Top Notes

  1. Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors
    📙 Journal of Petroleum Science and Engineering, Vol. 207, 109132 (2021)
    📈 Citations: 47
    ➤ This paper presents a hybrid machine learning approach to predict mud density in drilling operations. Adaptive Boosting, SVM, and KNN were used on real-time field data, enhancing predictive accuracy and aiding safer well planning.

  2. The possibility of enhanced oil recovery by using magnetic water flooding
    📙 Petroleum Science and Technology, 32(9), 1038–1042 (2014)
    📈 Citations: 19
    ➤ Investigates how applying magnetic fields to injection water can improve oil recovery rates. The study revealed increased wettability and better sweep efficiency, showcasing a non-chemical method to improve recovery.

  3. Prediction of elastic parameters in gas reservoirs using ensemble approach
    📙 Environmental Earth Sciences, 82(11), 269 (2023)
    📈 Citations: 12
    ➤ Uses ensemble learning for predicting Young’s modulus and shear modulus. It aids reservoir engineers in planning stimulation treatments and reducing uncertainty in rock mechanics analysis.

Conclusion

Dr. Abbas Hashemizadeh is a highly suitable candidate for the Best Researcher Award. His rich combination of practical and theoretical contributions, focus on enhancing petroleum engineering through innovation and machine learning, and consistent academic productivity make him stand out. With a stronger emphasis on international collaborations, citations impact, and global dissemination, he has the potential to rise further as a leading researcher in the petroleum and energy sector.

 

 

Yohannes Shuka Jara | Physical Chemistry | Young Researcher Award

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Mr. Yohannes Shuka Jara | Physical Chemistry | Young Researcher Award

Lecturer and Researcher,at Borana University ,Ethiopia

Yohannes Shuka Jara is an Ethiopian chemist, researcher, and academic currently serving as a Lecturer at Borana University in the Department of Chemistry. He is actively involved in teaching, research, and scientific community services. His career began at Madda Walabu University, where he held multiple roles including Senior Lab Technical Assistant and Chief-in Laboratory Chemist. With a passion for sustainable science and technology, he has focused his work on the green synthesis of nanoparticles, environmental remediation, and renewable energy applications. Yohannes has authored several peer-reviewed journal articles and co-authored a laboratory manual and a scientific book. He also serves as a journal reviewer and editorial board member. Recognized for his academic excellence and impactful research, he has received national and international awards, including a Best Researcher Award in Metallurgical Engineering. His work contributes significantly to applied chemistry, especially in resource-limited and ecologically sensitive regions.

🔹 Professional Profile

🎓 Education

Yohannes Shuka Jara holds a Master of Science degree in Physical Chemistry from Hawassa University, Ethiopia, where he focused on green energy and environmental nanotechnology. He completed his undergraduate studies in Chemistry at Dilla University, Ethiopia. His academic training includes advanced coursework in materials chemistry, catalysis, analytical techniques, and computational chemistry. Beyond formal education, he has undertaken several training programs and certifications in laboratory safety, pedagogical instruction, online teaching methodologies, and digital learning technologies. Additionally, he has enhanced his technical proficiency through nanodegree programs in Programming Fundamentals and Artificial Intelligence Fundamentals with global collaborations, including Udacity and the Ministry of Innovation and Technology of Ethiopia. His interdisciplinary training equips him to approach chemical research with both traditional and technological insights, supporting innovation in chemical education, environmental science, and green chemistry solutions for modern challenges.

💼 Experience

Yohannes has progressive academic and research experience. He is currently a Lecturer of Physical Chemistry at Borana University. Previously, he served at Madda Walabu University as Chief-in Laboratory Chemist and Researcher, and as Senior Laboratory Technical Assistant. In these roles, he was instrumental in laboratory organization, instrument calibration, and training of instructors and technicians. His responsibilities encompassed curriculum delivery, experimental design, student supervision, and community engagement through scientific outreach programs. He has authored several laboratory manuals and organized multiple training workshops to strengthen laboratory practices in secondary schools and higher institutions. He also contributes to academic quality assurance and community service projects, such as sanitizer production during the COVID-19 pandemic. His multidisciplinary technical and teaching experience, including advanced skills in modern instrumentation and computational tools, reflects his commitment to high-quality academic service and research-driven teaching in the chemical sciences.

🏆 Awards

Yohannes has received notable recognitions for his academic and research contributions. He was honored with the Best Researcher Award in Metallurgical Engineering by metallurgicalengineering.org (Scifax Group) in 2025, reflecting the innovation and impact of his materials research. In 2024, he received the Presidential Award from Hawassa University for outstanding academic and research performance during his Master’s studies. He has also been recognized internationally with a Certificate of Recognition for his role as a scientific committee member at the Annual International Congress on Nanoscience and Nanotechnology hosted by Oxford University. His numerous certificates from national institutions validate his participation in pedagogical training, scientific communication, and innovation competitions such as “Solve IT 2023.” His community contributions, especially in laboratory organization and COVID-19 response initiatives, demonstrate a strong commitment to science-led development and education in Ethiopia.

🔬 Research Focus in Physical Chemistry

Yohannes’s research centers on the green synthesis and application of nanoparticles for sustainable and environmentally friendly solutions. His core areas include photocatalysis, biosensor development, electrochemical energy generation, and environmental remediation. He explores semiconductor nanocomposites, such as ZnO-, CuO-, Fe₃O₄-, and Co₃O₄-based materials, for degrading toxic dyes, detecting pharmaceuticals like paracetamol, and enhancing microbial fuel cell (MFC) performance. His work also involves biomass-derived activated carbon for water purification and the integration of bio-organic systems in pollutant detection. Currently, he is investigating biologically synthesized N-Zn-codoped CuO nanoparticles for multifunctional roles, including anti-microbial and electrochemical sensing applications. Yohannes emphasizes low-cost, sustainable, and green methodologies that align with the principles of environmental chemistry and circular economy. His applied research contributes to solving real-world problems in energy, water quality, pollution, and public health within resource-constrained settings, especially in rural Ethiopia.

📚 Publications Top Notes

Biosynthesized pure CuO, N-CuO, Zn-CuO, and N-Zn-CuO nanoparticles for photocatalytic activity: Enhanced optical properties through bandgap engineering

Authors: Yohannes Shuka Jara, Endale Tsegaye Mohammed, Tilahun Tumiso Mekiso
Journal: Next Materials
DOI: 10.1016/j.nxmate.2025.100742

Summary:
This article reports the synthesis and characterization of novel CuO-based nanoparticles doped with nitrogen (N) and zinc (Zn), developed through a green biosynthesis method. By engineering the bandgap, these nanostructures exhibited enhanced photocatalytic performance for dye degradation under visible light. Detailed optical, morphological, and structural analysis showed significant shifts in bandgap and improved catalytic efficiency, especially in N-Zn-CuO samples. The study contributes to the field of environmental remediation and nanomaterials engineering for water purification.

Investigation of Energy Efficiency in a Zeolite-Water Adsorption Solar Cooling System Utilizing Locally Sourced Materials for the Conservation Chamber

Author: Yohannes Shuka
Journal: Physical Science International Journal
DOI: 10.9734/psij/2025/v29i4889

Summary:
This review explores the development and performance of an adsorption-based solar cooling system using zeolite-water pairs. The system is optimized with locally available materials for cost-effective applications in conservation chambers. The energy analysis reveals high thermal efficiency and cooling potential in off-grid settings. The study highlights the viability of solar-assisted eco-friendly cooling technologies in regions with abundant solar radiation and limited energy infrastructure.

Green Energy: Power Generation Improvement in Microbial Fuel Cells Using Bio‐Synthesized Polyaniline‐Coated Co₃O₄ Nanocomposite

Authors: Tesfahun Eyoel, Yohannes Shuka, Sisay Tadesse, Tekalign Tesfaye, Mesele Mengesha, Suha Orçun MERT
Journal: International Journal of Energy Research
DOI: 10.1155/er/2936572

Summary:
This work presents a novel polyaniline-coated cobalt oxide (Co₃O₄) nanocomposite anode, biosynthesized using green methods for microbial fuel cell (MFC) applications. The coating significantly improves bio-electrode interactions and conductivity, resulting in higher power density and energy conversion efficiency. The eco-friendly synthesis and enhanced MFC output make this study relevant for sustainable bioenergy technologies.

Improving the power production efficiency of microbial fuel cell by using biosynthesized polyaniline-coated Fe₃O₄ as pencil graphite anode modifier

Authors: Tekalign Tesfaye, Yohannes Shuka, Sisay Tadesse, Tesfahun Eyoel, Mesele Mengesha
Journal: Scientific Reports
DOI: 10.1038/s41598-024-84311-5

Summary:
The study demonstrates a cost-effective anode modification strategy using biosynthesized polyaniline-coated Fe₃O₄ nanoparticles applied to pencil graphite electrodes in microbial fuel cells. This modification enhances electrochemical surface area, leading to significant improvements in microbial attachment, charge transfer, and power output. This research provides a scalable approach for improving MFC performance using sustainable materials.

Highly efficient catalytic degradation of organic dyes using iron nanoparticles synthesized with Vernonia amygdalina leaf extract

Authors: Yohannes Shuka Jara, Tilahun Tumiso Mekiso, Aschalew Paulos Washe
Journal: Scientific Reports
DOI: 10.1038/s41598-024-57554-5
Summary:
This article introduces a green synthesis method for iron nanoparticles using Vernonia amygdalina leaf extract and evaluates their catalytic potential for degrading harmful organic dyes in wastewater. The study reveals the nanoparticles’ strong surface reactivity and high degradation efficiency under ambient conditions. The eco-friendly approach and practical application in water treatment systems make it a noteworthy advancement in environmental nanotechnology.

📌 Conclusion

Yohannes Shuka Jara is an emerging Ethiopian chemist whose academic excellence and impactful research distinguish him in the field of physical and materials chemistry. His work centers on green synthesis of nanoparticles, environmental remediation, energy conversion, and nano-biosensor development—providing sustainable solutions to real-world challenges. With experience across teaching, laboratory management, and applied research, he bridges theoretical chemistry with practical applications. His contributions have been recognized through multiple peer-reviewed publications and prestigious awards, including the Best Researcher Award in Metallurgical Engineering and the Presidential Honor from Hawassa University. Beyond research, Yohannes is actively involved in scientific outreach, lab manual development, and community-based projects such as water quality assessment and COVID-19 response efforts. His strong technical expertise, interdisciplinary skills, and commitment to science-led progress mark him as a valuable contributor to sustainable development in Ethiopia and beyond. He exemplifies the role of a young scientist driving innovation through education and environmentally responsible research.

 

Andrew Macfarlane | Turbulent Combustion | Best Researcher Award

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Dr. Andrew Macfarlane | Turbulent Combustion | Best Researcher Award 

Post Doctorate, University of Sydney, Australia

Dr. Andrew Macfarlane is an accomplished mechanical engineer and combustion researcher based at the University of Sydney. With a PhD in Mechanical Engineering and over a decade of expertise in experimental diagnostics, laser-based measurements, and numerical simulations, Dr. Macfarlane has contributed significantly to the understanding of autoignition, flame dynamics, and clean fuel combustion. He is a highly skilled experimentalist and educator, recognized for his innovation in laboratory design, analytical acumen, and mentorship. His work spans cutting-edge research on hydrogen, ammonia, and biofuels, placing him at the forefront of sustainable energy technologies. 🔬🔥🌏

🔹 Professional Profile

ORCID

🏆 Strengths for the Award

  • Outstanding Technical Expertise
    Dr. Macfarlane has developed exceptional capabilities in experimental combustion diagnostics, including advanced laser-based measurement techniques (PLIF, LIF, Raman/Rayleigh) and high-speed imaging. His hands-on skills, proficiency in LabVIEW, and use of state-of-the-art instruments showcase his ability to execute sophisticated experiments independently.

  • Diverse and Impactful Research Projects
    His postdoctoral work at the University of Sydney spans cutting-edge combustion research involving alternative fuels such as hydrogen, ammonia, and biofuels, as well as battery thermal runaway, contributing to energy safety and decarbonization—key global priorities.

  • Multidisciplinary Skillset
    He blends deep mechanical engineering fundamentals with computational modeling (Cantera, OpenFOAM) and data analysis using Python/Matlab. His work integrates experimental, analytical, and computational techniques, adding robust value across research domains.

  • Strong Publication Record & Recognition
    Dr. Macfarlane has authored 8 academic publications and presented at 5 conferences, highlighting his scholarly output. Winning the Best Student Paper Award at the Australian Combustion Symposium 2017 is a testament to the quality and impact of his contributions.

  • Leadership & Mentorship
    His experience tutoring and supervising honors and PhD students shows his commitment to academic leadership and future researcher development, aligning well with the spirit of a Best Researcher Award.

  • Commitment to Safety and Innovation
    His proactive approach to hydrogen safety protocols and instrument interface upgrades reflects innovation, risk awareness, and operational excellence—essential traits in experimental science.

🎓 Education

Dr. Macfarlane began his academic journey with a Bachelor’s degree in Mechanical Engineering from 2010 to 2014, graduating with First Class Honours. His passion for fluid dynamics and thermochemical processes led him to pursue a PhD in Mechanical Engineering (2015–2019) at the University of Sydney, specializing in experimental combustion. His doctoral research focused on the effect of turbulence on autoignition using a custom-designed H₂/air coflow burner. His PhD involved sophisticated diagnostics, such as laser-induced fluorescence (LIF), high-speed imaging, and acoustic analysis, coupled with advanced computational modeling to study ignition delay times, extinction strain rates, and species sensitivity. 📘🧪💡

💼 Experience

Since 2020, Dr. Macfarlane has served as a postdoctoral researcher at the University of Sydney, spearheading experimental and computational projects in the combustion field. His projects include Raman/Rayleigh line diagnostics on methane/hydrogen/ammonia flames, high-pressure diagnostics (up to 5 atm), PLIF imaging (CH, OH, CH₂O, CN, NH) at frequencies up to 10 kHz, and advanced autoignition studies for various fuels. He has conducted thermal runaway experiments on lithium-ion batteries and OH thermometry on PMMA plastics, showcasing his interdisciplinary breadth. 🧯🔍🧑‍🔬

🔬 Research Focus

Dr. Macfarlane’s research centers on understanding combustion dynamics through experimental and numerical methods. He focuses on low-carbon and carbon-neutral fuels, including hydrogen, ammonia, dimethyl ether (DME), oxymethylene ethers (OME), ethanol, and methanol. His work includes developing new diagnostic systems, performing non-intrusive optical measurements, and studying flame behavior in turbulent and high-pressure regimes. He is especially known for redesigning and operating complex experimental systems and safety protocols, particularly for hydrogen-based fuels. His numerical research applies 1D modeling to explore flame speed, extinction limits, and ignition kinetics. His commitment to decarbonized energy systems drives his impactful and relevant work in sustainable combustion. 🌱🧪💨

🏆 Awards

Dr. Macfarlane was awarded the Australian Postgraduate Award (APA) for the duration of his PhD from 2014 to 2018. He also received a scholarship from the Sydney University Combustion Group. His technical excellence and innovative research earned him the Best Student Paper Award at the Australian Combustion Symposium in 2017, a testament to the quality and originality of his work. 🥇📜👏

📚 Publications Top Notes

Raman-Rayleigh and LIF-OH Measurements in Turbulent H₂/N₂ Flames with and without Compositional Inhomogeneity

Journal: Combustion and Flame
Authors: A.R.W. Macfarlane, H. Tang, M.J. Dunn, G. Magnotti, A.R. Masri
DOI: 10.1016/j.combustflame.2025.114338
Summary: This study investigates the effect of compositional inhomogeneity on turbulent hydrogen/nitrogen (H₂/N₂) flames using Raman-Rayleigh scattering and laser-induced fluorescence of hydroxyl (LIF-OH). The research was conducted in a controlled laboratory environment using a specially designed burner system to generate both homogeneous and inhomogeneous inlet conditions. By applying non-intrusive optical diagnostics, the authors captured detailed scalar fields such as temperature, major species concentration, and reaction zone structure.

Towards Understanding the Improvement in Stability for Fuels with Inhomogeneous Inlets

Journal: Combustion Science and Technology
Authors: A.R.W. Macfarlane, M.J. Dunn, A.R. Masri
DOI: 10.1080/00102202.2023.2239464
Summary: In this paper, the authors examine the stabilizing effect of compositional inhomogeneities at the inlet of premixed flames, particularly focusing on hydrogen-rich fuels. The study uses a combined experimental and theoretical approach to assess how variations in local equivalence ratios and turbulence levels affect flame stability and structure.

📌 Conclusion

Dr. Andrew Macfarlane is an outstanding candidate for any prestigious research award in mechanical engineering or energy sciences. His strong foundation in experimental design, laser diagnostics, and computational modeling—combined with his deep commitment to sustainable fuel research—sets him apart as a leader in the field. Beyond technical prowess, he is an inspiring educator and mentor, known for his meticulous approach, problem-solving skills, and collaborative spirit. As the world pivots towards greener energy systems, Dr. Macfarlane’s work on hydrogen and biofuel combustion stands as both timely and transformative. 🌐💡🧑‍🎓

Anouar Ben Mabrouk | Biomathematical Engineering | Best Research Article Award

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Prof. Dr. Anouar Ben Mabrouk | Biomathematical Engineering | Best Research Article Award

Professor, University of Tabuk, Saudi Arabia

Professor Anouar Ben Mabrouk is a distinguished mathematician, qualified as a full professor in both Pure and Applied Mathematics by the Tunisian and French Ministries of Higher Education and Scientific Research. His groundbreaking work spans wavelets, fractals, nonlinear PDEs, probability, biostatistics, financial mathematics, and applications in environmental sciences and bio-signals. Anouar’s interdisciplinary approach bridges advanced mathematical theories with practical domains such as climate studies, pollution, and signal processing. He also integrates scientific insights with spirituality by researching scientific miracles in the Qur’an and translating significant works into multiple languages. With over 100 peer-reviewed research publications, numerous books, and extensive teaching experience across bachelor to doctoral levels, Professor Ben Mabrouk is a pillar of the international mathematical community.

Professional Profile

Scopus Profile

🏆Strengths for the Award

Academic Excellence and Recognized Qualification

  • Holds the highest academic title (Full Professor) in both Pure and Applied Mathematics, recognized by two national education systems (Tunisian and French).

  • Earned HDR (Habilitation à Diriger des Recherches), showing capability to supervise PhD students and lead research programs.

Prolific Research Output

  • Authored over 100 peer-reviewed papers in reputable journals across diverse domains: wavelets, fractals, PDEs, statistics, finance, biomathematics, image/signal processing, and more.

  • Published multiple books and book chapters, indicating a sustained, multi-dimensional research profile.

Interdisciplinary Reach

  • His work connects mathematics with finance, environmental sciences, biology, and religious studies (e.g., scientific miracles in the Qur’an).

  • Expertise in Clifford Algebras, fractals, and wavelet theory applied across domains, showing advanced theoretical and computational skills.

Pedagogical Breadth and Experience

  • Has taught all levels from preparatory to PhD across various universities and disciplines, including mathematics, finance, statistics, and computer science.

  • Supervised numerous undergraduate and graduate theses, showcasing commitment to research mentorship.

International Exposure and Collaboration

  • Taught and worked in Tunisia, Saudi Arabia, France, and Algeria, highlighting global engagement.

  • Reviewer/editorial board member of multiple journals and part of international academic societies, supporting cross-border scholarly interaction.

Leadership and Institutional Contribution

  • Plays strategic roles in academic committees (accreditation, research, curriculum development), particularly at Tabuk University, which speaks to his organizational influence.

🎓 Education

Professor Ben Mabrouk’s academic journey is marked by excellence and rigor. He earned his Bachelor’s degree in Mathematics from the University of Monastir in 1995, followed by a Master’s degree in Mathematics with a focus on multifractal spectra in 1998. He completed his PhD in Mathematics in 2007 with a thesis on wavelet analysis of non-isotropic quasi self-similar functions, a field he has since revolutionized. His academic credentials were further strengthened by his Habilitation (HDR) in Mathematics from the University of Kairouan in 2015, specializing in wavelets and nonlinear PDEs, cementing his expertise in both theoretical and applied mathematics.

💼Experience

Professor Ben Mabrouk currently holds prestigious professorships at the Faculty of Sciences, University of Monastir, and the Higher Institute of Applied Mathematics and Computer Sciences, University of Kairouan. Over two decades, he has contributed as a senior academic and researcher, supervising a wide range of student projects from bachelor theses to PhD dissertations across Tunisia, Saudi Arabia, and beyond. He has played key leadership roles, including Head of the Scientific Research Committee at Tabuk University, Saudi Arabia, where he also supports program accreditation and curriculum development.

🔬 Research Focus

A prolific and interdisciplinary researcher, Professor Ben Mabrouk’s work bridges theoretical rigor with real-world application. His primary research interests include wavelets and fractals, especially their roles in modeling complex systems such as financial markets, biological structures, and environmental phenomena. He has developed novel mathematical models using fractal dimensions and thermodynamic formalism, particularly in the study of time series data, bio-signals, and pollution metrics. 📈🧬 His work in Clifford algebras and their extension to wavelet theory has enabled advanced techniques in image and signal processing. In addition, he continues to explore the deep connections between mathematical laws and spiritual insight, particularly the scientific phenomena embedded in the Qur’an and Hadith. His translations and interpretations contribute not only to academia but also to a broader understanding of the harmony between science and faith. 🌙🔍

📚 Publications Top Notes

Numerical Solution for Stochastic Mixed Nonlinear Schrödinger Equation

Source: Bulletin of the Transilvania University of Brasov Series III Mathematics and Computer Science

Year: 2025

Authors: Not specified

Summary: Focuses on numerical methods to solve stochastic nonlinear Schrödinger equations with mixed terms. Likely involves advanced PDE numerical techniques and stochastic analysis.

A Wavelet Multifractal Model for Quality of Life Index Measuring During Pandemics and Crises

Source: Expert Systems

Year: 2025

Authors: Not specified

Summary: Proposes a wavelet-based multifractal model to measure quality of life during pandemics and crises. Integrates signal processing and statistical modeling to capture complex fluctuations in QoL indices.

On an Assorted Nonlinear Schrödinger Dynamical System

Source: Arabian Journal of Mathematics

Year: 2025

Authors: Not specified

Summary: Studies dynamics of a particular nonlinear Schrödinger system, possibly introducing new results on solution behavior or stability.

Effects of Nonlinear Thermal Radiation on the Efficiency of Building Integrated Photovoltaic Systems with Nanofluid Cooling

Source: PLOS One (Open Access)

Year: 2024

Authors: Multiple (names not listed)

Summary: Investigates how nonlinear thermal radiation impacts photovoltaic efficiency when nanofluids are used for cooling. Combines thermal physics, renewable energy, and nanotechnology.

Structural Analysis and Adsorption Studies of (PbO, MgO) Metal Oxide Nanocomposites for Efficient Methylene Blue Dye Removal from Water

Source: Materials (Open Access)

Year: 2024

Authors: Multiple (names not listed)

Summary: Examines structural properties and adsorption capabilities of PbO and MgO nanocomposites targeting dye removal from wastewater, with environmental and materials science focus.

🏁 Conclusion

Professor Anouar Ben Mabrouk exemplifies what it means to be a scholar, teacher, and thought leader in today’s mathematical landscape. His wide-ranging contributions—from foundational theory to practical applications—demonstrate a deep commitment to advancing knowledge and empowering others through education and mentorship. His interdisciplinary and international reach, paired with a unique blend of scientific inquiry and spiritual reflection, mark him as a truly exceptional figure in contemporary academia. 🌟🎓 Whether in the classroom, research lab, or editorial office, Professor Ben Mabrouk continues to inspire students, peers, and future generations of scholars worldwide.

Charu Joshi | Ecology | Best Researcher Award

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Ms. Charu Joshi | Ecology | Best Researcher Award

Research Scholar, Kumaun University, India

Ms. Charu Joshi is a dedicated young ecologist currently pursuing her Ph.D. in Botany at Kumaun University, Nainital, India. With a strong academic background from the University of Delhi, she has demonstrated deep commitment to ecological research—particularly focusing on the invasion dynamics of Lantana camara in the Kumaun Himalayan forests. Her work spans floristic diversity assessments, allelopathic impacts, and biomass applications of invasive species. She has published five peer-reviewed papers and presented her work at national and international platforms, winning the first position for an oral presentation in 2024. Ms. Joshi’s passion lies in understanding how invasive species alter native ecosystems and developing strategies for their sustainable management. Her early contributions reflect not just academic rigor but also applied ecological insight. She stands out as a promising researcher shaping the future of biodiversity conservation and forest ecology in India.

Professional Profile

🎓 Education

Ms. Charu Joshi began her academic journey with a Bachelor of Science (B.Sc.) in Botany from the University of Delhi in 2019, where she laid the foundation for her interest in plant science. She pursued her Master of Science (M.Sc.) in Botany from the same university and graduated in 2021 with a strong academic record and research inclination. Currently, she is a Ph.D. research scholar at the Department of Botany, DSB Campus, Kumaun University, Nainital. Her doctoral research investigates the ecological impacts and functional dynamics of Lantana camara shrublands in the Kumaun Himalaya. Her education has been marked by a consistent focus on ecological systems, invasive plant management, and biodiversity conservation. With her progression from undergraduate to doctoral levels, Ms. Joshi has developed a firm grasp of theoretical and practical aspects of environmental botany, preparing her for impactful ecological research.

💼 Experience

Ms. Charu Joshi has gathered hands-on research experience in plant invasion ecology and agro-ecological studies. Between June and December 2022, she conducted a project evaluating the effects of aqueous extracts (soaked and crushed) of Lantana camara stem on the germination and early growth of rice variety Chandan-21. This work introduced her to plant allelopathy and its implications for agricultural productivity. Currently, she is working on a doctoral project titled “Structural and functional attributes of Lantana camara shrublands in different forests of Kumaun Himalaya”, focusing on the ecological consequences of invasive species on forest biodiversity and ecosystem functions. Her work involves extensive field studies, lab-based analysis, and collaborative research with senior scientists. Through active involvement in experiments, data analysis, and manuscript writing, Ms. Joshi has developed a solid foundation in ecological methodology, contributing both to scientific knowledge and environmental management strategies.

🏅 Awards and Honors

In recognition of her scientific excellence and presentation skills, Ms. Charu Joshi was awarded First Position in the oral presentation category at the International Conference on Mountain Ecosystem Processes and Sustainable Livelihood – 2024, held from 5–7 March 2024. Organized by the Himachal Pradesh Regional Centre, GBPIHED, Kullu, the conference showcased cutting-edge ecological research across the Himalayan region. Ms. Joshi’s work on the floristic impact of Lantana camara invasion in forest ecosystems stood out for its scientific depth and practical relevance. This award highlights her capability to communicate complex ecological dynamics effectively to both experts and broader audiences. Additionally, her involvement in five published papers and five conference abstracts has earned her respect within the academic community as a promising early-career researcher. Such accolades reflect her continued commitment to research excellence and her emerging leadership in Himalayan ecology and environmental botany.

🔬 Research Focus

Ms. Charu Joshi’s research primarily revolves around invasion ecology, with a focus on the impact of Lantana camara, an aggressive alien species, on native forest ecosystems of the Kumaun Himalaya. Her studies assess the floristic changes, species diversity loss, and alteration in plant community structure due to invasive species. She also investigates the allelopathic effects of Lantana extracts on agricultural crops such as rice and wheat, providing insights into plant–plant interactions. Another dimension of her research explores the potential use of invasive plants as biomass for biochar production, linking ecological challenges to sustainable solutions. Her interdisciplinary approach combines field ecology, experimental plant biology, and agro-environmental applications. The research contributes significantly to forest management, biodiversity conservation, and the development of eco-restorative strategies. Through her scholarly work, Ms. Joshi aims to bridge the gap between ecological research and practical conservation measures in Himalayan landscapes.

📄 Publication Top Notes

  1. Floristic composition and diversity in Lantana camara L. invaded forest zones of Kumaun Himalaya, India
    Authors: Joshi, C., Joshi, V., Bargali, K., Fartyal, A., & Bargali, S. S. (2025)
    Journal: Vegetos, 1–16
    Summary: This paper analyzes species richness and vegetation composition in areas invaded by Lantana camara. It concludes that the invasive species significantly reduces native species diversity and alters the structural balance of forest ecosystems.

  2. Effects of aqueous leachates from above ground parts of Lantana camara on seed germination, growth and yield of wheat crop
    Authors: Joshi, V., Joshi, C., Bargali, S. S., & Bargali, K. (2024)
    Journal: Ecological Frontiers, 44(6), 1241–1250
    Summary: The study evaluates how leachates from Lantana suppress wheat growth, highlighting the toxic allelopathic effects and recommending agricultural safeguards in invaded zones.
    Citations: 4 (2024)

  3. Comparative impacts of soaked and crushed aqueous extracts of Lantana camara leaf and stem on germination and early seedling length of Oryza sativa
    Authors: Joshi, V., Joshi, C., Fartyal, A., Bargali, K., & Bargali, S. S. (2024)
    Journal: Current Agriculture Research Journal, 12, 1345–1360
    Summary: This experimental paper examines how different preparations of Lantana extracts affect rice seedlings, offering new insights into crop-weed dynamics and control.

  4. Assessing the Potential of Three Invasive Alien Plants as Possible Feedstock for the Production of Biochar and Crop Productivity
    Authors: Fartyal, A., Bhambra, G. K., Joshi, V., Joshi, C., Bargali, K., & Bargali, S. S. (2025)
    Journal: Journal of Soil Science and Plant Nutrition, 1–17
    Summary: The study assesses the use of Lantana camara, Parthenium hysterophorus, and Ageratina adenophora for biochar production, linking ecological control with resource utilization.

  5. Altered composition and structure of plant communities in response to Lantana camara invasion in forest ecosystems of Kumaun Himalaya, India
    Authors: Joshi, C., Joshi, V., Fartyal, A., Bargali, K., & Bargali, S. S. (2025)
    Journal: Trees, Forests and People
    DOI: https://doi.org/10.1016/j.tfp.2025.100947
    Summary: This study shows how Lantana disrupts community dynamics in forest plots and recommends ecological restoration practices based on the level of invasion.

Conclusion

Ms. Charu Joshi demonstrates outstanding potential and performance as a young environmental researcher. Her focused and impactful contributions to understanding Lantana camara invasion ecology, emerging citation metrics, and academic recognition make her a strong and deserving candidate for the Best Researcher Award. With continued publication momentum and broader engagement (international or interdisciplinary), she is poised to make long-term contributions to ecological science.

Liping Hao | Greenhouse Gas Emission | Best Researcher Award

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Dr. Liping Hao | Greenhouse Gas Emission | Best Researcher Award

Associate Professor, Tianjin University, China

Dr. Liping Hao is an Associate Professor at the Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, China. A pioneering researcher in environmental microbiology and greenhouse gas emission, Dr. Hao’s work bridges the gap between microbial ecology and sustainable environmental technologies. Her interdisciplinary approach integrates bioinformatics, anaerobic digestion, and climate science to mitigate greenhouse gas emissions and enhance resource recovery.

👩‍🔬Professional Profile

Scopus Profile

🏆 Strengths for the Award

Focused and Timely Research Area:

Dr. Hao’s research on greenhouse gas production and emission, especially methane, is highly relevant in the context of global climate change. The work contributes to the understanding and mitigation of climate impacts—a top priority in environmental science.

Interdisciplinary Expertise:

The integration of environmental microbiology, anaerobic digestion, and bioinformatics indicates a strong interdisciplinary approach. This is valuable for innovative solutions in environmental management and sustainable technology.

Practical Applications:

Her work supports both scientific advancement and real-world application, such as improving resource utilization and emission reduction technologies. This dual impact is essential for awards recognizing impactful research.

Institutional Affiliation:

Being associated with the Institute of Surface-Earth System Science at Tianjin University, a respected institution in China, supports the credibility and infrastructure behind her work.

Contribution to Biogeochemical Cycles:

By focusing on element cycling through microbial interactions, Dr. Hao contributes fundamental knowledge to Earth system science, helping to bridge micro-level processes with macro-environmental outcomes.

🎓 Education

Dr. Liping Hao received her Ph.D. in Environmental Science and Engineering from a top-tier institution in China, where she developed a strong foundation in microbiology and environmental biotechnology. During her doctoral studies, she focused on microbial community dynamics in wastewater treatment systems, gaining valuable expertise in molecular biology, genomic analysis, and bioreactor technologies. Her academic journey has always been marked by a commitment to excellence and innovation.

🧪Experience

With over a decade of experience in research and academia, Dr. Hao has established herself as a leader in environmental microbiology. She is currently an Associate Professor at Tianjin University, where she teaches graduate and undergraduate courses, mentors students, and leads multiple high-impact research projects. Dr. Liping Hao career includes collaborative work with interdisciplinary teams across institutions, both in China and internationally. Her involvement in national and international projects has allowed her to contribute significantly to cutting-edge research in anaerobic digestion technology and microbial greenhouse gas production. She is also actively engaged in reviewing for peer-reviewed journals and contributes to academic and industrial conferences worldwide.

🔬 Research Focus On Greenhouse Gas Emission

Dr. Hao’s research focuses on the microbial mechanisms driving greenhouse gas production, particularly methane, in both natural and engineered ecosystems. Her investigations delve into the complex microbial communities that govern carbon and nitrogen cycling, with an emphasis on anaerobic environments such as wetlands and anaerobic digesters. Central to her work is the identification of methanogenic and methanotrophic microorganisms, the analysis of microbe–microbe interactions, and the application of advanced bioinformatics and metagenomics to uncover underlying genetic pathways. By exploring the functional potential of microbial consortia, Dr. Hao aims to develop innovative biotechnological strategies that reduce greenhouse gas emissions. Her contributions are advancing the fields of climate change mitigation, waste-to-energy conversion, and sustainable resource management.

📚 Publication Top Notes

Microbiome and its genetic potential for carbon fixation in small urban wetlands

Affiliation: Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, China

Journal: Shengwu Gongcheng Xuebao (Chinese Journal of Biotechnology)

Year: 2025

Summary: This study investigates the microbial communities in small urban wetlands and their capacity for autotrophic carbon fixation. Using high-throughput sequencing and bioinformatics tools, Dr. Hao and her team identified previously unknown microbial taxa with significant potential to act as natural carbon sinks. The findings emphasize the ecological importance of urban wetlands in mitigating greenhouse gas emissions and offer a new perspective on using microbiomes for climate-resilient urban design.

🏆 Conclusion

Dr. Liping Hao is a visionary environmental microbiologist whose research is shaping the future of greenhouse gas mitigation and microbial biotechnology. Her unwavering commitment to understanding the microbial world and translating this knowledge into real-world environmental solutions marks her as a truly deserving nominee for this award.Through her leadership, scientific rigor, and passion for sustainability, Dr. Hao continues to inspire a new generation of scientists while making profound contributions to the global fight against climate change. 🌍🔬

Xiaoyi Hou | New Energy Storage Materials | Best Researcher Award 

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Mr. Xiaoyi Hou | New energy storage materials | Best Researcher Award 

Associate professor, Qinghai Normal University, China

Xiaoyi Hou is a dedicated researcher in the field of new energy storage technologies, with a strong background in condensed matter physics. A graduate of Lanzhou University, he has cultivated a specialized research portfolio focused on lithium-ion batteries, supercapacitors, and lithium-sulfur batteries. Hou’s work integrates fundamental science with practical applications, contributing significantly to the advancement of next-generation energy storage devices. In recognition of his impactful research, he was selected in 2019 as one of the top talents in Qinghai Province under the prestigious “Thousand Talents Plan for High-end Innovative Talents.” His scholarly contributions are evident in numerous publications in high-impact journals such as the Chemical Engineering Journal, Journal of Alloys and Compounds, and Materials Letters. Hou continues to drive innovations in materials science and electrochemical energy storage systems, making him a valuable figure in the field of sustainable energy technologies.

Professional Profile

Education

Xiaoyi Hou completed his academic training in condensed matter physics at Lanzhou University, a leading institution known for its strengths in physical sciences and materials research. His education provided him with a solid foundation in the principles of quantum mechanics, materials properties, and solid-state physics. During his academic tenure, he developed a particular interest in the application of physical principles to real-world energy challenges. His coursework and research projects exposed him to advanced topics in materials science, thermodynamics, and nanotechnology, which later became central to his career in energy storage. The comprehensive and interdisciplinary nature of his education at Lanzhou University equipped him with both theoretical knowledge and practical skills in materials characterization, device fabrication, and electrochemical testing. This educational background laid the groundwork for his transition into high-impact research in new energy materials and positioned him well for selection into competitive research talent programs in China.

Experience 

Xiaoyi Hou has accumulated significant experience in both academic and applied research on energy storage technologies. After graduating from Lanzhou University, he engaged in extensive laboratory and project-based research focused on the development of novel electrode materials and device architectures for next-generation energy storage systems. His experience spans lithium-ion batteries, lithium-sulfur batteries, and supercapacitors, where he has contributed to material synthesis, performance optimization, and device integration. He has worked on interdisciplinary teams involving physicists, chemists, and engineers, facilitating a holistic approach to problem-solving in energy systems. Hou has also led and participated in several provincial and national research projects, driving innovation in energy-efficient technologies. His research outcomes have been published in leading journals and have contributed to the scientific understanding and commercial potential of energy storage materials. His work continues to bridge the gap between fundamental materials science and functional energy devices.

Research Focus 

Xiaoyi Hou’s research focuses on the design and development of advanced materials for energy storage applications, with an emphasis on high-performance lithium-ion batteries, lithium-sulfur batteries, and supercapacitors. His work aims to address critical challenges such as energy density, cycle life, safety, and cost-effectiveness. He investigates novel electrode and electrolyte materials using nanostructuring, surface modification, and hybridization strategies to improve electrochemical performance. Hou also explores the mechanisms of charge storage and degradation processes at the molecular level, combining experimental techniques with theoretical modeling. His interdisciplinary approach bridges physics, materials science, and electrochemistry, enabling the creation of innovative storage devices with enhanced functionality. By focusing on scalable and sustainable materials, his research contributes to the advancement of clean energy technologies, addressing both environmental concerns and growing energy demands. Hou’s work continues to impact both academic inquiry and practical device innovation in the global energy storage sector

Publication Top Notes

Building Rapid Electron/Ion Dual Channels in Mesoporous CoSe₂/CNTs Composites for Advanced Sodium‑Ion Storage

  • Authors: Xiaoyi Hou, Dengdeng Ai, Jianglong Kang, Qirongxing Shen, Minmin Li & Jingyu Qi

  • Journal: Electrochimica Acta 530 (May 2025)

  • Summary: This work presents a 3‑dimensional mesoporous CoSe₂–carbon‑nanotube hybrid using an MOF‑derived template. The structure provides intertwined electron and Na⁺ conduction channels, resulting in significantly improved sodium-storage metrics—higher capacity, enhanced rate performance, and longer cycling life compared to conventional CoSe₂ systems sciencedirect.com+7researchgate.net+7pubs.rsc.org+7.

Boosting Li⁺ Transport Kinetics and Structural Stability of Co‑Free LiNi₀.₉Mn₀.₁₋ₓAlₓO₂ Cathode Materials

  • Authors: (not listed; placeholder “…, …”)

  • Journal: Journal of Electroanalytical Chemistry, 2025

  • Summary: Reported is a Co‑free layered cathode LiNi₀.₉Mn₀.₁₋ₓAlₓO₂ synthesized via organic‑amine co‑precipitation. Partial Al doping enhances lithium‑ion diffusion and stabilizes the layered structure under cycling conditions, yielding improved rate capability and structural integrity.

Improving the Electrochemical Performance of Ag‑Doped Ni‑Rich Li(Ni₀.₈₈Co₀.₀₉Al₀.₀₃)₁₋ₓO₂ Layered Cathode Material

  • Authors: (not listed; placeholder “…, …”)

  • Journal: Applied Physics A: Materials Science & Processing, 2025

  • Summary: Silver‑doped Li(Ni₀.₈₈Co₀.₀₉Al₀.₀₃)O₂ is produced through solid‑state synthesis. It achieves a high initial discharge capacity (~223 mAh g⁻¹ at 0.2 C) and ~95% retention (~178 mAh g⁻¹) after 100 cycles. Ag doping stabilizes the structure, mitigating capacity fade.

A Tailored High‑Nickel Cobalt‑Free Na‑Doped LiNi₀.₉Mn₀.₀₆Al₀.₀₄O₂ Cathode for Superior Lithium Storage

  • Authors: (not listed; placeholder “…, …”)

  • Journal: Physical Chemistry Chemical Physics, June 25 2025

  • Summary: This Na-doped, high-Ni, Co-free cathode material fine-tunes the lattice of LiNi₀.₉Mn₀.₀₆Al₀.₀₄O₂ to enhance Li⁺ transport kinetics and structural robustness. Results show high capacity and excellent cycling stability, attributing improvements to optimized lattice spacing and diffusion pathways.

Conclusion

Xiaoyi Hou emerges as a distinguished researcher in the realm of advanced energy storage systems, combining a solid academic foundation with innovative scientific contributions. His expertise in condensed matter physics, acquired from Lanzhou University, has laid the groundwork for his impactful work on lithium-ion batteries, lithium-sulfur batteries, and supercapacitors. His selection for the Qinghai Province “Thousand Talents Plan for High-end Innovative Talents” in 2019 affirms his stature as a leading innovator in the field. Through numerous publications in prestigious journals and his active role in high-level research initiatives, Hou has demonstrated a consistent commitment to addressing the global demand for efficient and sustainable energy solutions. His integrated approach to materials design, device engineering, and performance enhancement continues to contribute meaningfully to the development of next-generation energy storage technologies. With a clear research vision and proven excellence, Xiaoyi Hou stands out as a key figure in China’s scientific and technological advancement.

 

 

Ka Ian Chan | Educational Technology | Best Researcher Award

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Ms. Ka Ian Chan | Educational Technology | Best Researcher Award

PhD Candidate, Macao Polytechnic University, Macau

Ka Ian Chan is an emerging researcher in Educational Technology and Educational Data Mining. Currently pursuing a Ph.D. in Computer Applied Technology at Macao Polytechnic University, Ka Ian is passionate about improving learning experiences through innovative technological applications. His research focuses on student performance visualization, gamification in language learning, and privacy-respecting educational systems. He has actively contributed to academic conferences such as TALE, ICETT, and ICEMT, earning recognition for his presentations. Ka Ian also engages in student leadership and international academic exchanges, which have enriched his cross-disciplinary insights. His collaborative projects reflect his dedication to enhancing education through data-driven approaches. With a strong background in big data, the Internet of Things, and computer education, Ka Ian continues to explore practical, scalable solutions to modern educational challenges. His commitment to education, research excellence, and technological innovation positions him as a rising scholar in the field.

Professional profile

🎓 Education

Ka Ian Chan has pursued his entire higher education journey at Macao Polytechnic University. Currently, he is enrolled in a Doctor of Philosophy program in Computer Applied Technology (2022–Present), where his research emphasizes educational data mining and student performance analytics. Prior to this, he completed his Master of Science in Big Data and Internet of Things (2020–2022), equipping him with advanced skills in large-scale data processing and IoT integration in education. His undergraduate degree, Bachelor of Science in Computing with a specialization in Computer Education (2016–2020), laid the foundation for his interests in educational technology and digital learning platforms. Through his diverse academic training, Ka Ian developed a multi-dimensional expertise that bridges educational systems with cutting-edge computational techniques. His educational path has consistently aligned with his research focus, demonstrating a long-standing commitment to leveraging technology to improve learning environments and outcomes.

💼 Experience

Ka Ian Chan has accumulated valuable academic and professional experience centered on education and technology. Since 2022, he has been working as a Part-time Teacher, Teaching Assistant, and Public Exam Student Helper at Macao Polytechnic University, where he supports both teaching and assessment activities. His earlier roles include serving as an IT Assistant at Colégio de Santa Rosa de Lima – Secção Chinesa (2020–2021), where he provided technical support and educational IT services. During his undergraduate studies, he completed an internship as a Computer Teacher at Macau Kung Luen Vocational & Technical Middle School (2019–2020), contributing to the delivery of computing courses. Beyond formal roles, Ka Ian has been actively involved in student organizations, including serving as a Management Member of the FCA Student Union. His experience reflects a strong blend of teaching, technical expertise, and leadership within educational settings, all closely tied to his research interests.

🏆 Awards and Honors

Ka Ian Chan has been recognized with multiple prestigious awards throughout his academic journey. In 2022, he received the Best Oral Presentation Award at the International Conference on Education and Multimedia Technology (ICEMT), acknowledging the quality and impact of his research on student learning performance. He won the Gold Award at the 24th Moscow International Salon of Inventions and Innovative Technologies «ARCHIMEDES» in 2021 for his inventive contributions. His innovative mindset was also rewarded with a Third Prize in the 6th China International College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition in 2020. Furthermore, between 2018 and 2020, he consistently secured First Prize and Practical Value Awards at the Pan-Pearl River Delta Region Universities IT Project Competition. These accolades demonstrate his ability to deliver high-quality, applicable research and showcase his leadership and excellence in educational technology innovation on both regional and international platforms.

🔍 Research Focus

Ka Ian Chan’s research is primarily focused on Educational Technology and Educational Data Mining. He investigates how data-driven approaches can enhance educational environments, with particular interest in student performance visualization, gamification in language learning, and the application of Bayesian methods to track multi-skill learning progress. His studies aim to improve parent-teacher communication through innovative tools like radar visualization and to develop privacy-respecting systems that safeguard student identities in educational settings. Ka Ian also explores how gamification strategies can motivate students, particularly in the context of language acquisition. His research bridges big data, IoT, and educational psychology, seeking practical applications that can be seamlessly integrated into schools. His interdisciplinary approach not only advances academic understanding but also offers tangible solutions for educators, learners, and policymakers. Through his work, Ka Ian is contributing to a more personalized, engaging, and efficient educational experience powered by technology and intelligent data analysis.

📚 Publication Top Notes

1.Title: Exploring the Factors and Moderators Influencing the Use of Radar Visualisation of Student Performance from Parents’ Perspective
Authors: Ka Ian Chan, Patrick Cheong-Iao Pang, Wei Wei
Conference: TALE 2023
Summary: This study examines the factors that influence how parents perceive and utilize radar visualization tools to monitor their children’s academic performance. The research highlights key moderators affecting user acceptance and offers insights for designing parent-friendly educational dashboards.

2.Title: A Literature Review on Educational Data Mining with Secondary School Data
Authors: Ka Ian Chan, Philip I.S. Lei, Patrick Cheong-Iao Pang
Conference: ICETT 2023
Summary: This review consolidates existing research on educational data mining focusing on secondary school datasets. It identifies trends, challenges, and gaps in current methodologies, offering a roadmap for future research in this niche domain.

3.Title: Tracing Students’ Learning Performance on Multiple Skills using Bayesian Methods
Authors: Ka Ian Chan, Rita Tse, Philip I.S. Lei
Conference: ICEMT 2022
Summary: This award-winning paper presents a Bayesian-based approach to track and predict student learning progress across multiple skill areas. The model provides real-time feedback, improving the adaptability of learning systems to individual student needs.

4.Title: Applying Gamification in Portuguese Learning
Authors: Ka Ian Chan, Ngai Seng Chan, Su-Kit Tang, Rita Tse
Conference: ICIET 2021
Summary: This research explores the integration of gamification techniques into Portuguese language learning, demonstrating that game-based elements significantly increase student engagement and motivation.

5.Title: ReSPEcT: Privacy Respecting Thermal Based Specific Person Recognition
Authors: Ngai Seng Chan, Ka Ian Chan, Rita Tse, Su-Kit Tang, Giovanni Pau
Conference: ICDIP 2021
Summary: This study introduces a thermal-based recognition system that preserves privacy while accurately identifying specific individuals in educational and public settings.

Conclusion

Ka Ian Chan presents a strong candidacy for a Best Researcher Award at an early-career level. His consistent research output, interdisciplinary focus, recognized presentations, and emerging citation record demonstrate high potential. While building further on journal publications, international partnerships, and research funding would elevate his profile even more, his current achievements make him a competitive nominee, particularly for awards focused on promising young researchers or contributions to educational technology.

Luke Saunders | Electrochemistry | Best Researcher Award

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Dr. Luke Saunders | Electrochemistry | Best Researcher Award

Dr., Newcastle university, United Kingdom

Luke Saunders is a dynamic researcher specializing in electrochemistry, electrical machines, and battery technology. Currently serving as a Post-Doctoral Research Associate at Newcastle University, Luke is contributing to the Future Electrical Machines and Manufacturing Hub, focusing on advancing electric motor performance and manufacturing innovation. His career reflects a blend of academic rigor and industrial relevance, with previous impactful roles at The Faraday Institution and Heraeus Quartz UK. He has worked extensively on lithium-ion battery degradation and amperometric gas sensor technologies. Luke’s research integrates experimental work with computational analysis, aiming to accelerate the adoption of next-generation technologies. He has published multiple papers in internationally recognized journals and has presented his work at prominent conferences. Beyond his research, Luke is actively involved in mentoring PhD students, supporting undergraduates, and contributing to university-level ethical committees. He is also pursuing his HEA teaching fellowship, demonstrating his commitment to excellence in both research and education.

Publication Profile

🎓 Education 

Luke Saunders completed his PhD at Newcastle University, focusing on amperometric gas sensors in collaboration with Alphasense Sensor Technologies. His doctoral research emphasized the diffusion behavior of volatile organic compounds through specially designed semi-permeable membranes, combining both laboratory experiments and computational analysis. This industry-sponsored project allowed him to present regularly to senior stakeholders, bridging the gap between academic inquiry and real-world applications. Luke’s solid academic foundation in electrochemistry, sensor technology, and materials science underpins his versatile research portfolio. While the specific undergraduate and master’s education details are not provided, his progression into multi-disciplinary postdoctoral roles and a significant industrial engineering position reflect a strong educational background in chemical or electrical engineering. His current pursuit of the HEA teaching fellowship further highlights his ongoing commitment to both educational development and research excellence, aiming to contribute comprehensively to academia as a researcher, mentor, and future educator.

💼 Experience

Luke Saunders brings a rich blend of academic and industrial experience across multiple high-impact projects. At Newcastle University (2023–2026), he contributes to electric motor innovation as part of the Future Electrical Machines and Manufacturing Hub, collaborating internationally and mentoring young researchers. Previously, at the Faraday Institution (2020–2021), he investigated lithium-ion battery degradation, mastering electrochemical techniques and complex data analysis. From 2022 to 2023, he worked as a Production Engineer at Heraeus Quartz UK, managing process improvement projects for high-grade quartz manufacturing, delivering engineering solutions, and supporting health and safety initiatives. His PhD research (2014–2020) explored amperometric gas sensors, conducted in collaboration with Alphasense Sensor Technologies. Luke has consistently demonstrated leadership, teamwork, and technical expertise, contributing to both fundamental science and industrial applications. His experience encompasses project management, cross-functional collaborations, mentoring PhD and undergraduate students, and presenting at international conferences, positioning him as a well-rounded and impactful researcher.

🔬 Research Focus

Luke Saunders’ research primarily focuses on electrochemistry, energy storage systems, and the performance of advanced electrical machines. His recent work targets the development of novel electric motor designs with enhanced efficiency, durability, and manufacturability, contributing to the global push for sustainable transportation solutions. His earlier research delved into the degradation mechanisms of lithium-ion batteries, where he utilized advanced electrochemical impedance spectroscopy and large-scale data interpretation to uncover failure patterns. Luke’s PhD work in amperometric gas sensors emphasized improving sensor selectivity and response times using tailored semi-permeable membranes. His cross-disciplinary expertise allows him to navigate between materials science, chemical engineering, and electrical engineering, enabling innovative solutions to industry-relevant problems. Through active collaborations with industrial partners and multinational research hubs, Luke aims to accelerate the translation of laboratory discoveries into practical applications. His future research interests include green manufacturing processes, next-generation energy systems, and enhancing the sustainability of electrochemical technologies.

📚 Publication Top Notes

1. Evaluating Single-Crystal and Polycrystalline NMC811 Electrodes in Lithium-Ion Cells via Non-Destructive EIS Alone

Journal: Journal of Applied Electrochemistry
Publication Date: September 2022
DOI: 10.1007/s10800-022-01713-x
Authors: Luke Saunders, Jiabin Wang, Ulrich Stimming
Summary:
This study evaluates the performance of NMC811 electrodes in lithium-ion batteries using non-destructive electrochemical impedance spectroscopy (EIS). The work compares single-crystal and polycrystalline structures to understand how microstructural differences influence battery life and degradation. The research highlights the benefits of using non-invasive diagnostic tools for assessing battery health, which can improve battery management systems and enhance operational safety.

2. Differentiating Degradation Characteristics in Lithium-Ion Cells

Journal: Journal of The Electrochemical Society
Publication Date: November 2021
DOI: 10.1149/1945-7111/ac3851
Authors: Luke Saunders, Jiabin Wang, Ulrich Stimming
Summary:
This paper investigates the distinct degradation pathways in lithium-ion cells under various operational conditions. By employing electrochemical techniques, the study differentiates the key factors contributing to capacity fade and impedance rise. The findings offer valuable insights for improving battery longevity and inform the design of more robust battery systems for future applications.

Conclusion

Luke Saunders demonstrates strong potential and is highly suitable for a Best Researcher Award at an early to mid-career level. His multidisciplinary research, industrial relevance, leadership in mentoring, and significant collaborative efforts position him as a valuable researcher with impactful contributions. To elevate his candidacy to a truly outstanding level, focusing on independent grant acquisition, completing teaching credentials, and further expanding his international research footprint would be beneficial.

 

Shantao Ping | Computer Vision | Best Researcher Award

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Mr. Shantao Ping | Computer Vision | Best Researcher Award

Associate Senior Engineer, Qiyuan Lab, China

Shantao Ping is an Associate Senior Engineer at Qiyuan Lab, specializing in computer vision, artificial intelligence, and large-scale model algorithms. With a Master’s degree in Computer Science, Shantao has a proven track record of driving innovation through cutting-edge research and development. He has contributed to over 28 research and industry projects and holds 14 national invention patents. His collaborative project with Baidu, an AI-powered medical question-answering system, significantly enhanced user engagement and earned him the prestigious Baidu Best Engineer Award. Shantao is also an active member of the Chinese Institute of Command and Control, where he continuously advances the frontiers of intelligent simulation, image processing, and natural language processing. His work focuses on solving complex engineering problems and has made substantial contributions to simulation scene construction and few-shot object recognition. Passionate about applied research, Shantao Ping is committed to shaping the future of intelligent computing through practical and scalable solutions.

Publication Profile

Education

Shantao Ping holds a Master’s degree in Computer Science from an esteemed institution, equipping him with solid expertise in artificial intelligence, computer vision, and advanced computational algorithms. He also holds the professional qualification of Associate Senior Engineer, recognized by the Ministry of Human Resources and Social Security (MOHRSS), Beijing, China. This designation reflects his deep technical proficiency and leadership in engineering research and development. Throughout his academic and professional training, Shantao focused on bridging theoretical foundations with real-world applications, emphasizing innovation in structured light calibration, simulation modeling, and machine learning-based image processing. His educational journey laid the groundwork for his current role as a highly effective engineer, capable of contributing to both research excellence and industrial breakthroughs. Shantao’s education emphasizes interdisciplinary collaboration, practical application, and a research-driven approach that aligns perfectly with his long-standing commitment to technological advancement and cutting-edge innovation in the rapidly evolving fields of AI and computer vision.

Experience

Shantao Ping is currently an Associate Senior Engineer at Qiyuan Lab, where he has spearheaded numerous high-impact projects in computer vision, AI, and simulation technologies. Over his career, he has successfully completed 28 research and consultancy projects, including a notable collaboration with Baidu to develop an AI-powered medical Q&A system that significantly improved user engagement metrics. His career highlights include leading teams in the development of large-scale model algorithms, simulation scene construction, and few-shot object recognition frameworks. Shantao’s practical experience is reinforced by 14 published or in-process patents and multiple software development achievements, including tools for multi-type algorithm execution and sonar simulation imaging. His work has consistently demonstrated high relevance to industry needs and national innovation strategies. Recognized with the Baidu Best Engineer Award, Shantao continues to push the boundaries of applied AI and intelligent systems. He is also actively involved in the Chinese Institute of Command and Control, enhancing his contributions to the field.

Research Focus

Shantao Ping’s research is primarily centered on computer vision, image processing, natural language processing (NLP), and foundation models. His work addresses critical challenges in simulation scene reconstruction, few-shot object recognition, structured light calibration, and human-computer interaction assisted by large models. He focuses on developing algorithms that integrate simulation with AI to achieve realistic scene modeling and real-time data processing. Shantao is particularly interested in the intersection of AI and simulation, leveraging intelligent algorithms to enhance perception, decision-making, and scene understanding in complex environments. His innovative research in multi-object tracking and global graph matching is paving the way for advanced applications in autonomous systems and smart interaction platforms. Through national patents and practical deployments, he has made significant strides in developing intelligent, scalable solutions that are not only theoretically sound but also practically impactful, contributing directly to the fields of healthcare, simulation technology, and large-scale data interaction.

Publication Top Notes

  1. Multi-view Multi-object Tracking Based on Global Graph Matching Structure (Conference Paper)

    • Authors: Shantao Ping, Chao Li, Hao Sheng, Jiahui Chen, Zhang Xiong

    • Summary: This work proposes a novel global graph matching framework for tracking multiple objects across multiple viewpoints, significantly improving tracking accuracy in complex scenes.

  2. A Method and Apparatus for Specific Target Reconnaissance by Unmanned Aerial Vehicle (Patent)

    • Authors: Shantao Ping, Ying He

    • Summary: Introduces a UAV-based reconnaissance system with enhanced precision for specific target detection in dynamic environments.

  3. A Method, Apparatus, and Device for 3D Scene Construction (Patent)

    • Authors: Shantao Ping, Xulong Ma, Ying He

    • Summary: Details a system for efficient 3D scene modeling using intelligent algorithms, optimizing both speed and accuracy.

  4. Method for Human-Computer Interaction Assisted by Large Models (Patent)

    • Authors: Shantao Ping, Xulong Ma, Ying He, Xiaoqiang Jin, Pinjie Li, Qianchuan Zhao

    • Summary: Presents a human-computer interaction framework enhanced by large foundational models for improved user experience and system adaptability.

  5. Method, Apparatus, Device, and Storage Medium for Generating Sonar Simulated Images (Patent)

    • Authors: Shantao Ping, Xulong Ma, Ying He, Jiacheng Li

    • Summary: Describes a sonar image simulation method that increases the fidelity and reliability of underwater detection simulations.

Conclusion

Shantao Ping is a highly capable, application-driven researcher with an impressive track record of industry-relevant projects, innovative patents, and impactful collaborations, particularly in AI and computer vision. The strong applied research portfolio and demonstrated ability to solve real-world problems make him a solid candidate for the Best Researcher Award. However, to fully align with the traditional benchmarks of this award (which often emphasize academic citations and international recognition), increasing the number of SCI/Scopus journal publications, improving citation metrics, and pursuing more visible academic leadership roles would be beneficial.