Masoumeh Bararzadeh Ledari | Energy Sustainability | Editorial Board Member

Published on by Scientist Day

Dr. Masoumeh Bararzadeh Ledari | Energy Sustainability | Editorial Board Member

Dr. Masoumeh Bararzadeh Ledari | Amirkabir University of Technology | Iran

Dr. Masoumeh Bararzadeh Ledari is an accomplished academic, researcher, and technical consultant specializing in energy engineering, climate change, sustainable resource management, and decarbonization strategies, with significant experience across academia, industry, and international collaborations. She earned her Ph.D. in Energy Engineering from Sharif University of Technology, Tehran (2014–2021), where her doctoral thesis focused on hybrid technology evaluation models for minimizing ecosystem sustainability impacts, following her M.Sc. in Energy Engineering from the same institution (2009–2011) and a B.Sc. in Chemical Engineering from the University of Tehran (2004–2008). Throughout her career, she has held academic positions as Lecturer, Adjunct Professor, and Instructor at leading Iranian universities, including AmirKabir University of Technology, Sharif University of Technology, and the University of Tehran, where she has taught courses in renewable energy systems, waste management, building energy simulation, and optimization. Her professional experience extends to leadership roles such as Scientific Director at Tadbirgaran Energy Company, Technical Manager at the Presidential Center for Progress and Development, and Head of Technology Management Groups at multiple organizations, including Butia Steel Company and Engineering & Industrial Management Consultants Group, where she has directed projects in hydrogen energy transition, carbon capture and storage, petrochemical value chains, and energy-environmental modeling. She has also contributed internationally as a Research Scientist at the International Institute for Applied Systems Analysis (IIASA) in Austria and the Research Centre for Energy Resources and Consumption in Spain, focusing on water-food-energy nexus models and thermodynamic modeling of biosystems. Her research interests include climate change mitigation, regenerative life models, corporate decarbonization in petrochemical and steel industries, exergy-based ecosystem analysis, and AI-driven energy optimization. Skilled in technical-economic feasibility studies, LCA/LCP modeling, energy policy, greenhouse gas accounting, and process simulation, she has authored influential research cited over 400 times (h-index 11). Her honors include leading multi-sectoral projects with UNDP, FAO, and national ministries on climate policy, stakeholder engagement, and natural resource management. In conclusion, Masoumeh Bararzadeh Ledari has established herself as a versatile scholar and practitioner who bridges academia, industry, and policymaking, advancing innovative approaches to sustainable energy, climate resilience, and decarbonization pathways, while contributing to both national development and global sustainability initiatives.

Profile: Scopus | Google scholar

Featured Publications

Sabet, A. F., Ledari, M. B., Maleki, F., & Fani, M. (2025). Exergy and thermoeconomic comparison of sustainable methanol and ammonia production from waste and CO₂. Journal of Environmental Chemical Engineering, 119148.

Ledari, M. B., Barkhordar, Z. A., & Maleki, F. (2025). Unveiling the potential of bio-based petrochemical development for a sustainable circular economy: A global perspective. Chemical Engineering Journal, 167974.

Kordi, A., Mohebbi, K., Ledari, M. B., & Shirafkan, S. M. (2025). Transforming ports for a low-carbon future: Nexus modeling of hydrogen infrastructure, employment, and resource management in contrasting climates. Energy Nexus, 100515.

Shirafkan, S. M., Ledari, M. B., Mohebbi, K., Fani, M., & Vahedi, R. (2025). Revolutionising the petrochemical supply chain: Integrating waste and CO₂ from CCUS into a low-carbon circular economy framework. Journal of Environmental Chemical Engineering, 116722.

Alimorad Rashidi | Academic Recognition | Editorial Board Member

Published on by Scientist Day

Prof. Alimorad Rashidi | Academic Recognition | Editorial Board Member

Prof. Alimorad Rashidi | Research institute of petroleum industry | Iran

Alimorad Rashidi is a leading chemical engineering researcher recognized internationally for pioneering contributions to carbon nanostructures, nanofluids, and nanotechnology-driven energy solutions. His work spans fundamental materials science to industrial-scale innovation, with a strong emphasis on applications in the oil, gas, and petrochemical sectors. As head of an advanced carbon nanostructures research group, he has led major initiatives in the mass production of nanomaterials—including carbon nanotubes, graphene, nanoporous carbons, metal oxides, and hybrid nanomaterials—using scalable chemical, catalytic, and CVD-based processes. His expertise includes nanofluid development for enhanced oil recovery (EOR), drilling fluids, heat transfer systems, and next-generation fuel formulations. He has significantly advanced adsorption and separation technologies, contributing to natural gas storage (ANG), CO₂ capture, gas purification, and smart adsorbent design. His research also encompasses nanocatalysts for hydrogenation, hydrodesulfurization, heavy oil upgrading, selective H₂S conversion, and methane-to-ethylene catalytic processes. He has extensive experience designing and optimizing pilot plants, adsorption systems (PSA), nanofilter membranes, and large-scale nanomaterial production units. His academic background is complemented by teaching expertise in heat transfer, mass transfer, fluid mechanics, nanostructured materials, surface science, and catalytic processes. Rashidi’s contributions are reflected in a substantial portfolio of international patents, including technologies for carbon nanotube production, advanced hydrodesulfurization catalysts, alumina nanotube-supported catalysts, highly ordered nanostructure arrays, nanohybrid systems for NOx removal, heavy crude upgrading catalysts, carbon nanotube-based nanohybrids for oil recovery, nanofluid synthesis, and graphene and nanoporous graphene production. His work has earned numerous national and international recognitions, including multiple top researcher awards, major innovation accolades, elite scientific honors, and global citations ranking him among the top 1–2% of scientists worldwide. His combination of scientific leadership, industrial impact, and sustained innovation positions him as a key figure in advancing nanotechnology for energy and environmental applications.

Profiles: Orcid | Scopus

Featured Publications

Sharafinia, S., Saadati Ardestani, N., Rashidi, A., Abbasy, F., & Eskandari Sabzi, P. (2025). CO₂/N₂ selectivity with high efficiency using new flexible coordinate organic polymer-based core–shell. RSC Advances. https://doi.org/10.1039/D5RA03873A

Mir, S., Rashidi, A., Naderifar, A., Seif, A., Silvestrelli, P. L., & Alonso, J. A. (2025). Development of a smart plasma-treated nano-filter using carbon nitride nanostructures for oil–water emulsion separation: Experimental and theoretical studies. Journal of Materials Chemistry A. https://doi.org/10.1039/D5TA00294J

Sirati Gohari, M., Rezaei, S. A., Rashidi, A., Javadpour, S., & Ebadzadeh, T. (2025). MXenes and hydride nanostructures: Fundamental, properties, surface modification, properties, and application. In Book chapter. https://doi.org/10.1016/B978-0-443-21853-8.00002-5

Zafari, T., Sharafinia, S., Rashidi, A., Esrafili, M. D., Keyvani, B., & Mousavi, M. (2025). Optimized adsorption of volatile organic compounds on graphene oxide and nanoporous graphene activated with ZnCl₂: A combined experimental and computational study. Nanoscale Advances. https://doi.org/10.1039/D5NA00199D

Mousavi, R., Fazlinezhad, A., Fallah Shojaei, A., Rashidi, A., & Fattahi, M. (2025). Evaluation of vanadium oxide nanocatalysts over graphene for propylene production through oxidative propane dehydrogenation. Catalysts, 15(5), 409. https://doi.org/10.3390/catal15050409

Nouri, M., Sadeghi, M. T., Rashidi, A., & Norouzbeigi, R. (2024). Hydrothermally synthetized WO₃-coated stainless steel mesh for oil–water separation purposes. Journal of Petroleum Exploration and Production Technology. https://doi.org/10.1007/s13202-023-01741-z

Ehsan kianfar | Chemical Engineering | Editorial Board Member

Published on by Scientist Day

Prof. Dr. Ehsan kianfar | Chemical Engineering | Editorial Board Member

Prof. Dr. Ehsan kianfar | Young Researchers and Elite Club | Iran

Dr. Ehsan Kianfar is a highly productive researcher in chemical engineering with extensive expertise in catalyst science, nanotechnology, zeolite modification, gas separation membranes, and advanced material synthesis. His research spans the development of high-performance catalysts for critical industrial processes such as methanol-to-gasoline (MTG), methanol-to-olefins (MTO), ethylene-to-propylene (ETP), and dimethyl ether (DME) synthesis. He has made significant contributions to the design, synthesis, and optimization of nano-zeolites, SAPO-based catalysts, and metal-modified ZSM-5 structures aimed at improving olefin production, selectivity, and reaction efficiency. He has authored numerous peer-reviewed research papers in reputable international journals, including Microchemical Journal, Catalysis Letters, Colloid and Polymer Science, Macromolecular Research, Journal of the Taiwan Institute of Chemical Engineers, Journal of Environmental Chemical Engineering, and Silicon. His work covers diverse areas such as polymeric and nanocomposite membranes for CO₂/N₂, O₂/N₂, and C₂H₆/CH₄ separations, CO₂ absorption using hollow fiber membrane contactors, CFD modeling of reactive flow systems, and the characterization of novel nanoparticle-based functional materials. Dr. Kianfar’s research contributions include a patented nanocomposite membrane developed using isophthalic acid and aluminum nitrate for enhanced gas separation and water treatment. He has also written multiple books and book chapters with respected international publishers, particularly on zeolite catalysts, methanol conversion processes, nanomaterials, gas hydrates, ionic liquids, and energy optimization methods. He serves as a reviewer for several high-impact international journals such as Applied Catalysis A, Topics in Catalysis, ACS Omega, Progress in Natural Science, Reviews in Inorganic Chemistry, and others. His broad academic output reflects strong capabilities in experimental design, catalyst characterization, membrane engineering, and nanomaterial innovation. Driven by a commitment to advancing sustainable catalytic technologies, Dr. Kianfar is actively seeking opportunities to further expand his research in catalysts, separation processes, and advanced nanoscale materials.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Mahmoud, Z. H., AL-Salman, H. N. K., Hussein, U. A.-R., Hameed, S. M., Hussein, A. A., Abbas, J. M., Thajeel, S. K., Al Ghezy, W. D. K., & Kianfar, E. (2026). Recent advances in the applications of smart nanomaterials in biomedicine: A review. Nano LIFE. https://doi.org/10.1142/S1793984425300055

Jasim, A. A., Dhabab, J. M., Rheima, A. M., Zaidan, H. K., Al-Sharify, Z. T., Athair, D. M., & Kianfar, E. (2026). A review of hydrogel nanoparticles in drug delivery: Properties and applications. Nano LIFE. https://doi.org/10.1142/S1793984424300085

Al-Jamal, A. N., Hussein, U. A.-R., Aljbory, N., Mahmoud, Z. H., Mirani, A., Kianfar, E., & Maleknia, L. (2026). Electrospun ZnO and GSH co-loaded PU/CS nanofibrous films as potential antibacterial wound dressings. Nano LIFE. https://doi.org/10.1142/S1793984424500284

Joseph, T. M., Thomas, M. G., Mahapatra, D. K., Unni, A. B., Kianfar, E., Haponiuk, J. T., & Thomas, S. (2025). Adaptive and intelligent polyurethane shape-memory polymers enabling next-generation biomedical platforms. Case Studies in Chemical and Environmental Engineering, 101165. https://doi.org/10.1016/j.cscee.2025.101165

Abdelbasset, W. K., Jasim, S. A., Bokov, D. O., Oleneva, M. S., Islamov, A., Hammid, A. T., Mustafa, Y. F., Yasin, G., Alguno, A. C., & Kianfar, E. (2025). Retraction Note: Comparison and evaluation of the performance of graphene-based biosensors. Carbon Letters. https://doi.org/10.1007/s42823-024-00785-3

Adul-Rasool, A. A., Athair, D. M., Zaidan, H. K., Rheima, A. M., Al-Sharify, Z. T., Mohammed, S. H., & Kianfar, E. (2024). 0D, 1D, 2D, 3D nanostructures, types of bulk nanostructured materials, and drug nanocrystals: An overview. Cancer Treatment and Research Communications. https://doi.org/10.1016/j.ctarc.2024.100834

Hsu, C.-Y., Ajaj, Y., Mahmoud, Z. H., Ghadir, G. K., Alani, Z. K., Hussein, M. M., Abed Hussein, S., Karim, M. M., Al-khalidi, A., Abbas, J. K., … Kianfar, E. (2024). Adsorption of heavy metal ions using chitosan/graphene nanocomposites: A review study. Results in Chemistry, 101332. https://doi.org/10.1016/j.rechem.2024.101332

Hassan Aljaberi | Research Excellence | Editorial Board Member

Published on by Scientist Day

Dr. Hassan Aljaberi | Research Excellence | Editorial Board Member

Dr. Hassan Aljaberi | Optical Techniques Department, College of Health and Medical Techniques | Iraq

Hasan Abdulhadi Al-Jabri, 38, is an Assistant Lecturer specializing in Optical Techniques at the Department of Optical Techniques, Al-Mustaqbal University, Babylon, Iraq. With a strong academic foundation, including a BSc in Optical Techniques and an MSc in Engineering, he has built an active career in both teaching and research. His academic work is reflected in 12 published documents, 35 citing documents, and an h-index of 4, demonstrating a growing impact within the fields of optometry, biosensing, and optical materials. In his academic role, Al-Jabri teaches key courses in optical techniques and supervises undergraduate graduation projects, contributing to the development of future professionals in optical sciences. His research portfolio spans critical areas such as corneal physiology, refractive error assessment, biosensing materials, and photocatalytic nanocomposites. His notable publications include investigations into the effects of soft contact lenses on corneal endothelial cells, advancements in porphyrin-MOF-based biosensing of chemical contaminants, and a comprehensive meta-analysis on refractive errors among Iraqi school students. He has also explored advanced functional materials, such as Pt-decorated tetragonal graphene for anticancer drug detection and S-Scheme nanocomposite photocatalysts for efficient degradation of organic pollutants under visible light. Beyond research papers, Al-Jabri has contributed scientific articles, including a 2025 review on modern keratoconus treatment approaches. He has also demonstrated active scientific engagement through participation in the Arab Health Exhibition 2024 in Dubai, gaining exposure to cutting-edge diagnostic technologies in ophthalmology. His skills encompass scientific writing, operation of optical and diagnostic devices, and data analysis. His research interests include the impact of contact lenses on corneal health, biosensing technologies, and refractive error epidemiology. Through teaching, research, and scientific participation, Hasan Abdulhadi Al-Jabri continues to advance optical science and contribute valuable insights to both academic and clinical communities.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | LinkedIn

Featured Publications

Elzahra, Z. A., Aljaberi, H. A., Al-Robayi, E. M., & Amer, S. (2025). Investigation of optoelectronic properties using single-molecule laser active media. Opto-Electronics Review. https://doi.org/10.24425/OPELRE.2025.155865

Yaqoubi, M., Ghanbari, M., Maya, R. W., Jasim, H. A., & Salavati-Niasari, M. (2025). Synthesis and characterization of S-Scheme NiMn₂O₄/g-C₃N₄ nanocomposites heterojunction photocatalyst for effective degradation of organic pollutants under visible light. Results in Engineering, Article 104037. https://doi.org/10.1016/j.rineng.2025.104037

Rusho, M. A., Ahmed, A. T., Kanjariya, P., Ballal, S., Singh, A., Supriya, S., Ray, S., Sultan, M. K., Jasim, H. A., & Alkahtani, H. M. (2025). Unveiling a new type of boron-doped carbon sheets as an anode for calcium-ion batteries. Ionics. https://doi.org/10.1007/s11581-025-06423-w

Flayyih, R. A., Alwan, K. J., & Aljaberi, H. A. (2025, December). Comparative heat transfer analysis of helical coil and straight tube heat exchangers. Case Studies in Thermal Engineering. https://doi.org/10.1016/j.csite.2025.107386

Aljaberi, H. A., Rahmani, S., & Muhammad, G. A. (2025, October). Effect of soft contact lens wear on corneal endothelial cell characteristics. Contact Lens and Anterior Eye. https://doi.org/10.1016/j.clae.2025.102441

Shailendra Pratap Singh | Environmental Science | Editorial Board Member

Published on by Scientist Day

Mr. Shailendra Pratap Singh | Environmental Science | Editorial Board Member

Mr. Shailendra Pratap Singh |  Dr. Bhimrao Ambedkar University | India

Shailendra Pratap Singh is an emerging researcher in Atmospheric Chemistry with a specialized focus on bio-aerosols and the biochemical and physical characteristics of particulate matter (PM₂.₅ and PM₁₀). He is currently pursuing a Ph.D. at Dr. Bhimrao Ambedkar University, Agra, where his research centers on understanding the chemical composition, microbial load, and environmental behavior of airborne particulates in urban regions. His academic foundation includes an M.Phil. in Chemistry with research on toxic metal levels in maternal and neonatal biological samples, and an M.Sc. in Chemistry, both from the same university. He has hands-on expertise with advanced aerosol and air-quality monitoring instruments, including the Grimm Aerosol Spectrometer, SKC Sioutas Cascade Impactor, Dichotomous Sampler, Fine Particulate Sampler, and Aerosol Black Carbon Monitor. His technical experience is supported by more than two and a half years as a Post Project Assistant in a state-funded research project focusing on indoor and outdoor particulate pollution in school environments and its associated health impacts. Shailendra has published research in prominent journals covering aerosol chemistry, metal concentrations in particulate matter, morphology of primary aerosol particles, seasonal pollution patterns, and black carbon variability. His contributions also include a book chapter with Springer on the geographic distribution and transport of atmospheric particulate matter. He has actively engaged in national training programs, workshops, and conferences organized by premier institutions such as IIT Delhi, IITM Pune, CSIR-NPL, CSIR-NEERI, and UNESCO-affiliated bodies. His scientific work has been recognized through conference presentations and awards, including Best Oral Presentation at an international conference. He has also been awarded the prestigious International Travel Grant by the Anusandhan National Research Foundation (ANRF) to present his work at the European Aerosol Conference 2025.

Profiles: Orcid

Featured Publications

Singh, S. P., Gupta, A., Tripathi, T., & Taneja, A. (2025). Metal concentration in PM₂.₅ and PM₁₀ and their microbial nature in ambient air of Agra region during winter season. Trends in Environmental Sciences, 1(1), 8–15. https://doi.org/10.21124/tes.2025.08.15

Pipal, A. S., Kaur, P., Singh, S. P., Rohra, H., & Taneja, A. (2024). Morphology, aspect ratio, and surface elemental composition of primary aerosol particles at an urban region of India. Environmental Science and Pollution Research, 31, 47946–47959. https://doi.org/10.1007/s11356-024-34372-w

Rajouriya, K., Dubey, S., Singh, S. P., Tripathi, T., John, R., & Taneja, A. (2023). Levels of particulate matter, black carbon, and toxic gases (O₃, NO₂) in Taj City Agra and their health implications on human beings. Pollution, 9(3), 1208–1224. https://doi.org/10.22059/poll.2023.352851.1731

Pipal, A. S., Dubey, S., Singh, S. P., & Taneja, A. (2022). Geographical distribution and transport of atmospheric particulate matter. In Airborne Particulate Matter (pp. 29–46). Springer. https://doi.org/10.1007/978-981-16-5387-2_3

Pipal, A. S., Singh, S. P., Tripathi, T., & Taneja, A. (2022). Variations in black carbon and particulate matter (PM₁, PM₂.₅, and PM₁₀) during firecracker bursting episodes and biomass burning: A case study during the Diwali festival. Journal of Air Pollution and Health, 7(4), 347–360. https://doi.org/10.18502/japh.v7i4.11383

Xiaoping Ren | Scientific Breakthroughs | Distinguished Scientist Award

Published on by Scientist Day

Prof. Dr. Xiaoping Ren | Scientific Breakthroughs | Distinguished Scientist Award

Prof. Dr. Xiaoping Ren | Affiliated Hospital of Guangxi University | China

Dr. Xiaoping Ren is an internationally recognized surgeon and scientist known for pioneering breakthroughs in hand transplantation, spinal cord fusion, and head transplantation research. He designed the world’s first clinical hand allotransplantation model, contributed to the United States’ first hand transplant, and discovered key mechanisms such as RPCT and RCI. He led landmark achievements including the first mouse head transplant, the first human head-transplant surgical model, and multiple world-first advances in spinal cord fusion that restored neural continuity in animal studies. His work established him as a global leader in paralysis treatment and regenerative reconstruction. Dr. Ren has earned major international honors, including election to the Russian Academy of Natural Sciences, fellowship of the International College of Surgeons, and leadership roles such as Chief Scientist of the GICUP Alliance, supported by an extensive publication record across microsurgery, neurology, cardiology, and regenerative medicine.

Profiles: Scopus 

Featured Publications

Ren, X., et al. (2025). Establishment of a canine model of vascularized allogeneic spinal cord transplantation and preliminary study on spinal cord continuity reconstruction. Chinese Journal of Reparative and Reconstructive Surgery.

Ren, X., et al. (2024). Recovery of independent ambulation after complete spinal cord transection in the presence of the neuroprotectant polyethylene glycol in monkeys. IBRO Neuroscience Reports.

Ren, X., et al. (2024). A novel strategy for spinal cord reconstruction via vascularized allogeneic spinal cord transplantation combined with spinal cord fusion. CNS Neuroscience and Therapeutics.

Ren, X., et al. (2024). Developing preclinical dog models for reconstructive severed spinal cord continuity via spinal cord fusion technique. IBRO Neuroscience Reports.

Ren, X., et al. (2023). Effect of vascularized lymph node transplantation combined with lymphatico-venous anastomosis in the treatment of lymphedema after breast cancer surgery. Chinese Journal of Plastic Surgery.

Wahad Rahman | Energy Sustainability | Best Researcher Award

Published on by Scientist Day

Mr. Wahad Rahman | Energy Sustainability | Best Researcher Award

Mr. Wahad Rahman | University of Engineering and Technology Peshawar | Pakistan

A highly skilled engineering professional with extensive experience in mechatronics, renewable energy systems, additive manufacturing, and Internet of Things (IoT) technologies. With a strong academic foundation including advanced research in hybrid energy harvesting systems, this expert has contributed significantly to cutting-edge developments in sustainable power solutions for sensor networks and pipeline monitoring applications. Current work in additive manufacturing and reverse engineering involves leading research and development initiatives, operating advanced 3D printing technologies (FDM, SLA), managing high-precision 3D scanning, and conducting specialized training programs. This blends practical engineering with innovation-driven problem-solving across industrial and applied research environments. Previously, research contributions in sensor and energy harvesting systems included the design and development of micro Kaplan and Crossflow turbines, IoT-based pipeline monitoring solutions, energy-efficient wireless sensor nodes, and experimental setups for testing hybrid energy harvesters. These projects demonstrate strong proficiency in mechanical design, simulation, prototyping, and system integration. With several years of experience in academia, this professional has taught undergraduate theory and laboratory courses in mechanics of materials, fluid mechanics, robotics, and engineering software tools such as MATLAB and SolidWorks. Extensive involvement in STEM capacity-building programs further highlights commitment to engineering education and technology dissemination. Research expertise spans renewable energy, hybrid and flow-based energy harvesting, control systems, self-powered systems, power management circuits, wireless sensors, and IoT technologies. Published work includes multiple journal articles in reputable international outlets focusing on piezoelectric, electromagnetic, and hybrid energy harvesters, turbine modeling, RF energy harvesting, and sensor network applications. Professional development includes specialized training in IoT, Arduino, Raspberry Pi, MATLAB, image processing, robotics, content writing, and digital marketing, demonstrating a broad multidisciplinary skillset. Overall, this profile reflects a dynamic researcher and engineer dedicated to advancing sustainable energy solutions, intelligent monitoring systems, and modern manufacturing technologies.

Profiles: Orcid | LinkedIn | Google Scholar

Featured Publications

Rahman, W. U., & Khan, F. U. (2025). A hybrid flow energy harvester to power an IoT-based wireless sensor system for the digitization and monitoring of pipeline networks. Machines, 13(11). https://doi.org/10.3390/machines13111025

Rahman, W. U., & Khan, F. U. (2025). An integrated fluid flow and solar hybrid energy harvester for pipeline monitoring system. AIP Advances. https://doi.org/10.1063/5.0284001

Rahman, W. U., & Khan, F. U. (2025). A survey of flow-based energy harvesters for powering sustainable wireless sensor nodes. Journal of Renewable and Sustainable Energy. https://doi.org/10.1063/5.0237597

Rahman, W. U., & Khan, F. U. (2023). A hybrid flow energy harvester using combined piezoelectric and electromagnetic transductions for pipeline network monitoring. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389X221147647

Marwan | AI Advancements | Excellence in Research

Published on by Scientist Day

Dr. Marwan | AI Advancements | Excellence in Research

Dr. Marwan | King Faisal University | Saudi Arabia

The applicant is an accomplished scholar in Computer Information Systems with specialized expertise in Artificial Intelligence and Data Science, supported by extensive experience in academia, research, and innovation. Over more than a decade of university-level teaching and research, the applicant has contributed significantly to advancing intelligent systems, machine learning applications, IoT security, biomedical imaging, and pattern recognition. Their doctoral work introduced a novel model for Arabic handwritten text recognition, forming the foundation for a strong research career in AI-driven language and image processing technologies. The applicant has authored and co-authored numerous impactful, refereed journal publications in well-recognized international outlets such as Sustainability, IJACSA, Traitement du Signal, and the Journal of Ayub Medical College. Research contributions span cancer therapy enhancement, anomaly detection, cephalometric landmark detection, multiple sclerosis classification, industrial IoT security, biometric iris recognition, palm disease classification, and Arabic word recognition. Several works have been indexed in Scopus and other reputable databases, with active collaborations involving interdisciplinary and multinational research teams. Beyond publications, the applicant has secured competitive research funding, including a grant supporting the development of a weighted-voting IoT security model targeting BASHLITE and Mirai cyberattacks. Ongoing research activities include hybrid deep learning systems for intrusion detection, medical image analysis, human nail disease diagnosis, music-brain interactions, and predicate-logic-based machine translation. The applicant has demonstrated strong academic service through extensive peer-reviewing, participation in scientific councils, and membership in research committees. Their professional development includes participation in conferences, training programs, and workshops focused on e-learning, scientific publishing, and advanced teaching strategies. Recognized for excellence, the applicant has received awards such as the Distinguished Scientific Research Award and the Outstanding International Publishing Award, reflecting sustained research quality and global scholarly impact. Their overall portfolio showcases a balanced blend of innovative research, academic leadership, and contributions to the AI and data science community.

Profiles: Scopus 

Featured Publications

Siddiqi, M. H., Alhwaiti, Y., Elaiwat, S., & Abu-Zanona, M. (2024). Dynamic healing process analysis: Image morphing with warping technique for nose and esophagus studies. The International Arab Journal of Information Technology, 21(3). (Accepted December 26, 2023).

 

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award | 2573

Published on by Scientist Day

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award

Mr. Wenzhuang Liu | North China University of Science and Technology | China

This researcher has built a strong academic foundation in energy systems and renewable energy integration, focusing on innovative methods to enhance the flexibility, efficiency, and sustainability of modern power grids. With advanced studies in engineering thermophysics and hands-on experience in multiple research projects, the researcher has developed a deep understanding of thermodynamics, energy storage systems, and the challenges associated with large-scale renewable energy integration under contemporary carbon-neutrality goals. A key contribution is the development of an optimized configuration regulation method for energy storage systems (ESS) designed to address peak-shaving pressures arising from the widespread adoption of renewable energy. This method integrates deep peak shaving of thermal power units with coordinated demand-side response strategies, forming a comprehensive source-load-storage interaction model. By accounting for uncertainties in renewable generation and dynamic load variations, the framework enhances system responsiveness and operational flexibility. Simulation studies conducted across multiple scheduling scenarios demonstrate substantial improvements, including reductions in overall operation cost, unit operating cost, and renewable energy input cost. The findings highlight the method’s potential to significantly boost renewable energy utilization while maintaining economic and operational stability in power systems. Beyond this flagship innovation, the researcher has contributed to ongoing projects related to optimizing energy storage configurations for enhanced peak regulation. Their scholarly output includes publications in reputable journals and active engagement in funded research initiatives supported by scientific foundations and industrial laboratories. The researcher has also patented a novel ESS configuration approach centered on deep peak shaving and source-load-storage coordination. Overall, the researcher’s work advances both theoretical and application-oriented dimensions of renewable energy integration. Their contributions support more resilient, responsive, and economically viable power systems, making a meaningful impact on the transition toward low-carbon energy futures and reinforcing their suitability for recognition under research excellence awards.

Profiles: Scopus | Orcid 

Featured Publications

Liu, J., Zhang, Z., Xie, Q., & Liu, W. (2024). Dual-phase model: Estimating the temperature and hydrodynamic size of magnetic nanoparticles with protein-corona formation. Applied Physics Letters. https://doi.org/10.1063/5.0199403

Li, L., Yi, W., Cui, X., & Liu, W. (2023). Rapid and high sensitivity temperature measurement based on near-extinction photoelastic modulated magneto-optical Kerr effect of Fe-Gd nanofilm. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3323049

Liu, J., Huang, P., Zhang, Z., Xie, Q., & Liu, W. (2023). The nonlinear dynamics of magnetic nanoparticles: A thermometry in complex magnetic fields. Applied Physics Letters. https://doi.org/10.1063/5.0151058

Cui, X., Li, L., & Liu, W. (2022). A rapid and sensitive magnetic immunoassay of biomolecules based on magnetic nanoparticles. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2022.3216405

Guo, S., Yi, W., & Liu, W. (2022). Biological thermometer based on the temperature sensitivity of magnetic nanoparticle paraSHIFT. Nanotechnology. https://doi.org/10.1088/1361-6528/ac3b81

Peng, H., Cheng, C., Wan, Q., Jia, S., Wang, S., Lv, J., Liang, D., Liu, W., Liu, X., Zheng, H., et al. (2022). Fast multi-parametric imaging in abdomen by B1+ corrected dual-flip angle sequence with interleaved echo acquisition. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29127

Fengzhou Wang | Industry Collaboration | Best Researcher Award

Published on by Scientist Day

Mr. Fengzhou Wang | Industry Collaboration | Best Researcher Award

Mr. Fengzhou Wang | Zhe Jiang University | China

The nominee is an emerging researcher in the field of industrial engineering, currently engaged in advanced studies with a strong focus on traffic big data analytics, machine learning, and large-scale AI models. Their academic journey began with foundational training in system modeling and optimization algorithms, which laid the groundwork for their present research direction. Through this evolving academic path, the nominee has developed a growing interest in applying computational intelligence to transportation systems, contributing to the interdisciplinary space where engineering, data science, and artificial intelligence converge. Despite being at an early stage of their research career, the nominee has participated in scholarly work that includes publishing in reputable indexed journals. Their contribution to the article on segmented parabolic adjustment of the FAST reflector demonstrates proficiency in programming computation, data visualization, and scientific writing—skills essential for modern research environments. While the nominee has not yet undertaken formal research projects, consultancy assignments, patents, or editorial responsibilities, they remain committed to expanding their expertise and research footprint. The nominee possesses a strong sense of scientific curiosity and expresses an aspiration to contribute meaningfully to their field in the future. They acknowledge current limitations related to resources, knowledge, and experience but emphasize a forward-looking mindset rooted in creativity and innovative thinking. Their research interests reflect an alignment with emerging global priorities, particularly the integration of AI and big data for intelligent transportation systems. Through academic participation and continued skill development, the nominee aims to build a foundation for impactful research and real-world innovation. By engaging with the research community and enhancing technical competencies, they seek to evolve into a contributor capable of influencing advancements in transportation engineering, machine learning applications, and AI-driven solutions.

Profiles: Scopus | Orcid 

Featured Publications

Wang, F., Kang, Y., & Guo, F. (2024). Segmented parabolic adjustment of the FAST reflector utilizing spatial coordinate rotation transformation. Measurement Science and Technology, 35(10). https://doi.org/10.1088/1361-6501/ad5c93