Quinoza Guvil | Space Science | Best Research Article Award

Published on by Engineering Scientist

Dr. Quinoza Guvil | Space Science
| Best Research Article Award

Dr. Quinoza Guvil | Padang Institute of Technology | Indonesia

Dr. Quinoza Guvil is a mathematics lecturer at the Padang Institute of Technology, Indonesia, where he has served since January 2014. He earned her Bachelor’s degree (2011) and Master’s degree (2015) in Mathematics from Andalas University. Her teaching covers core areas of fundamental sciences, including calculus, linear algebra, statistical geodesy, and mathematical geodesy for geodetic engineering students. In addition to academic teaching, he contributed to institutional development as Head of the Division PSMM for Internal Quality Audit (2020–2021), playing an active role in strengthening academic quality standards. Her research spans mathematical modeling, geospatial analysis, and urban studies, with publications on epidemiological modeling, tidal harmonic analysis, parking systems, water absorption, flood management, vegetation index extraction, and urban land surface monitoring. Her works have been published in national and international journals such as Jurnal Ilmiah Poli Rekayasa, Jurnal Teknik Sipil, Sumatra Journal of Disaster, Geography and Geography Education, and Journal of Applied Geospatial Information. He has also presented at prominent conferences including SPI, Geomatika, ICOIRS, ICES, and ICDM. Proficient in Indonesian and English, Dr. Guvil brings expertise in statistics, probability, and numerical analysis, supported by a growing academic profile with 7 citations across 7 documents, 1 indexed publication, and an h-index of 1.

 Profile:  Google Scholar | ORCID | Scopus

Featured Publications

  • Quinoza Guvil, A. N. S. M. I., Wijaya, D. D., Bramanto, B., & Prijatna, K. (2025). Investigations on the impacts of global mass density model to geoid models in Java, Indonesia. Geomatics, 5, 45.

  • Arini, D., Bani, M. N., Armi, I., Guvil, Q., & Fernando, A. (2023). Pemetaan Rute Trans Padang berbasis WebGIS. Innovative: Journal of Social Science Research, 3(3), 5490–5502.

  • Guvil, Q., Syafriani, D., & Fikri, S. (2022). Monitoring of land surface change in Padang City using DInSAR Sentinel-1A method. Journal of Applied Geospatial Information, 6(2).

  • Driptufany, D. M., Kusuma, A., & Guvil, Q. (2022). Pemetaan sebaran lahan terbangun di kawasan sempadan pantai Kota Padang menggunakan citra resolusi tinggi. El-Jughrafiyah, 2(2), 87–92.

  • Arini, D. (2021). Flood management based on the potential urban catchments: Case study Padang City. Sumatra Journal of Disaster, Geography and Geography Education.

  • Arini, D., Guvil, Q., & Wahidah, N. (2020). Land cover identification using Pleiades satellite imagery by comparison of NDVI and BI method in Jatinangor, West Java. IOP Conference Series: Earth and Environmental Science, 500(1), 012007.

  • Driptufany, D. M., & Guvil, Q. (2019). Ekstraksi Normalized Difference Vegetation Index (NDVI) pada citra Landsat 8 untuk identifikasi ruang terbuka hijau di kawasan resapan air Kota Padang. Seminar Nasional Penginderaan Jauh, 6(1), 48.

 

Saad Abd-Elkader | Space Science | Best Researcher Award

Published on by Engineering Scientist

Mr. Saad Abd-Elkader | Space Science
| Best Researcher Award

Research Assistant at National Research Institute of Astronomy and Geophysics (NRIAG), Egypt.

Saad Abd-Elkader Hassan is an Egyptian astrophysicist and a PhD student at Al-Azhar University, currently serving as an Assistant Researcher at the National Research Institute of Astronomy and Geophysics (NRIAG), Cairo. He specializes in high-energy astrophysics, with a focus on Active Galactic Nuclei (AGN) and blazar-type sources. Saad is known for his strong analytical skills, creative mindset, and deep commitment to uncovering the energetic secrets of the universe. He has presented at international conferences, participated in specialized astrophysics schools, and trained in major Egyptian observatories. Fluent in Arabic and proficient in English, Saad combines technical expertise in X-ray data analysis and programming with a passion for cosmic exploration, positioning him as a rising figure in astrophysical research in the MENA region.

🌍 Professional Profile:

ORCID

Google Scholar 

🏆 Suitability for the Best Researcher Award :

Saad Abd-Elkader Hassan stands out as an exceptional candidate for the Best Researcher Award due to his focused and impactful contributions to high-energy astrophysics, particularly the study of AGNs and blazars. His work has led to insights into X-ray variability, emission properties, and the unified model of AGN structure. As a fast learner and a self-motivated researcher, Saad combines observational data with advanced software tools like XSPEC and machine learning for astrophysical modeling. He actively engages in scientific collaborations, regional conferences, and workshops. His scholarly rigor, combined with his dedication to public scientific education and consistent academic progression, reflect excellence in research, scientific communication, and innovation in astrophysical science, making him highly deserving of this award.

🎓 Education :

Saad Abd-Elkader Hassan began his academic journey with a B.Sc. in Astrophysics from Al-Azhar University, Cairo, Egypt, in 2014, where he completed a graduation project on the Three-Body Problem. He earned his M.Sc. in Astrophysics in 2020 from the same university, focusing on “Suzaku X-ray Studies of Some Active Galactic Nuclei BL Lacertae Type.” He is currently pursuing a Ph.D. in Astrophysics at Al-Azhar University, with a dissertation titled “Some Advanced X-ray Studies of Active Galactic Nuclei Blazars Type,” highlighting his specialization in high-energy cosmic phenomena. His education combines strong theoretical grounding, computational proficiency, and observational experience, positioning him at the forefront of AGN research within Egypt and internationally.

🏢 Work Experience :

Saad Abd-Elkader Hassan has served as an Assistant Researcher at the National Research Institute of Astronomy and Geophysics (NRIAG) since completing his master’s degree. He has participated in numerous observational and data-analysis projects, particularly focusing on X-ray studies of AGNs and blazars. His hands-on experience spans across advanced astronomical tools and platforms, including XSPEC, Xselect, and Python for data modeling. He has trained at Cairo University’s Astronomy Department and participated in national-level workshops related to space technology and astronomical site selection. Saad’s work reflects deep engagement with both theoretical models and empirical data, making significant contributions to the scientific understanding of cosmic phenomena. His ongoing doctoral work strengthens his already solid foundation in astrophysical research.

🏅Awards and Honors

Saad Abd-Elkader Hassan has earned recognition through selection and participation in multiple prestigious astrophysical schools and conferences. Notably, he attended the 40th International School for Young Astronomers (ISYA), and advanced ArAS Schools for Astrophysics, hosted by the Kottamia Astronomical Observatory. He also presented research at key conferences such as the Arab Conference on Astronomy and Geophysics (ACAG-6, 7, and 8) and the IAU Regional MEARIM Meeting in 2023. His consistent presence at these events showcases both academic excellence and recognition by the regional scientific community. These honors underscore his potential and promise as a researcher deeply committed to astrophysics. His efforts continue to shape future contributions to high-energy astrophysical research in Egypt and beyond.

🔬 Research Focus :

Saad Abd-Elkader Hassan’s research centers on high-energy astrophysics, with a particular focus on Active Galactic Nuclei (AGN), especially blazar-type AGNs. His work involves analyzing X-ray emissions from these energetic cosmic sources, aiming to understand their variability, flaring behavior, and structural dynamics. Saad explores theoretical frameworks like the unified model of AGN and tests them against observational data obtained from X-ray satellites such as Suzaku. He is interested in how rapid AGN variability can inform new models of galaxy evolution and black hole accretion physics. By integrating software tools, machine learning, and simulation, his research contributes to the broader understanding of the universe’s most extreme and luminous phenomena, playing a key role in astrophysical model advancement.

📊 Publication Top Notes:

📄 Multi-band analyses of the bright GRB~230812B and the associated SN2023pel
📅 Year: 2023 | 🔍 Cited by: 8 | 🪐 Supernova ✨ GRB

📄 Frequency and photometric analysis of the short period pulsating star YZ Boo
📅 Year: 2021 | 🔍 Cited by: 6 | 🌟 Variable Star 📊 Photometry

📄 X-ray flux and spectral variability of BL Lacertae objects Mrk 421, Mrk 501, and 1ES1426+428 with Suzaku satellite
📅 Year: 2021 | 🔍 Cited by: 4 | ☄️ AGN 📡 X-ray

📄 Photometric and Spectroscopic Analysis of the SX Phe Star BL Cam
📅 Year: 2022 | 🔍 Cited by: 3 | 💫 SX Phe 🔬 Spectroscopy

📄 GRANDMA observations of SN 2023wrk, a luminous type Ia supernova with significant unburned carbon in the outer ejecta
📅 Year: 2024 | 🔍 Cited by: 1 | 🔭 Type Ia SN 🌌 Carbon Detection

📄 Multiparameter study for a new ground-based telescope in Egypt
📅 Year: 2023 | 🔍 Cited by: 1 | 🛰️ Observatory Design 🏜️ Site Selection