Mohd Khaled Shambour | Computational Science | Research Excellence Award

Prof. Mohd Khaled Shambour | Computational Science | Research Excellence Award

Middle East University | Jordan

Mohd-Khaled Yousef Shambour is a Jordanian professor specializing in Intelligent System Techniques, optimization, and artificial intelligence. He holds a PhD in Intelligent Systems and advanced degrees in computer science, with extensive academic, research, and teaching experience across Jordan and Saudi Arabia. His research focuses on meta-heuristic and evolutionary optimization, data science, scheduling, and deep learning, with strong applications to large-scale real-world problems such as transportation, airport slot scheduling, resource allocation, and mega-event management. He has led and contributed to impactful community-oriented research, particularly in improving services for pilgrims during Hajj and Umrah using AI and data analytics. Prof. Shambour has published widely in high-quality international journals and conferences and serves as an associate editor and reviewer for leading scientific publishers. An experienced educator, he teaches courses spanning AI, machine learning, optimization, data analytics, and programming, and actively contributes to academic service, professional societies, and community development.

Citation Metrics (Scopus)

1400
1000
600
200
0

Citations
1,189

Documents
40

h-index
16

Citations

Documents

h-index


View Scopus Profile   View Orcid Profile
  View Google Scholar Profile

Featured Publications

Sergey Pulinets | Scientific Breakthroughs | Best Researcher Award

Prof. Sergey Pulinets | Scientific Breakthroughs | Best Researcher Award

Prof. Sergey Pulinets | Space Research Institute of the Russian Academy of Sciences (RAS) | Russia

Prof. Sergey A. Pulinets is a leading geophysicist and space plasma physicist  in the fields of space plasma physics, ionospheric physics, and geophysics. A graduate of the Faculty of Physics at Lomonosov Moscow State University , he has held major scientific and administrative positions at IZMIRAN, the National Autonomous University of Mexico (UNAM), and the Institute of Applied Geophysics, before joining the Space Research Institute (IKI RAS) in 2009 as Chief Research Scientist. Prof. Pulinets is internationally recognized for his pioneering studies on ionization processes and their effects on the atmosphere, leading to the development of a comprehensive Lithosphere–Atmosphere–Ionosphere coupling model, widely used today for short-term earthquake precursor monitoring. He has led and participated in numerous space experiments aboard Soviet and Russian satellites and currently serves as the chief designer of the LAERT ionosonde-radar, part of the “Ionosonde-2025” satellite constellation under the Russian Federal Space Program. He has authored over 192 scientific publications, which have garnered 6,824 citations across 2,736 documents, with an h-index of 38 (Scopus). His work integrates multidisciplinary approaches to earthquake forecasting, as reflected in his monographs with Springer, AGU/Wiley, and IOP Publishing. Prof. Pulinets is a member of COSPAR, URSI, EMSEV, and the International Academy of Astronautics (IAA) and serves as an editor for MDPI Atmosphere and the RAS journal Geomagnetism and Aeronomy. He has reviewed for more than 30 international journals including JGR, Radio Science, and Natural Hazards. His scientific achievements have been recognized with VDNKh Bronze and Silver Medals, the Korolev Medal, and numerous honors from the Russian Federation of Cosmonautics. Holding 10 patents and one scientific discovery, Prof. Pulinets stands among the top 25 most-cited Russian scientists in geophysics.

Profiles: Scopus | Google Scholar | Orcid | Research Gate

Featured Publications 

Ouzounov, D., Inan, S., Kalenda, P., Neumann, L., Pulinets, S., Liu, J.-Y., Shen, X., Yan, R., Rušajová, J., Kafatos, M. C., et al. (2025, January 20). Multi-parameter study of the pre-earthquake phase associated with the Kahramanmaraş sequence in Türkiye on February 6th, 2023. EGUsphere Preprint. https://doi.org/10.5194/egusphere-egu24-6407

Smirnov, S., Pulinets, S., & Bychkov, V. (2024, December 9). Some effects of the Shiveluch Volcano eruption of 10 April 2023 on atmospheric electricity and the ionosphere. Atmosphere, 15(12), 1467. https://doi.org/10.3390/atmos15121467

Pulinets, S., & Velasco Herrera, V. M. (2024, August 5). Earthquake precursors: The physics, identification, and application. Geosciences, 14(8), 209. https://doi.org/10.3390/geosciences14080209

Pulinets, S., Mironova, I., Miklyaev, P., Petrova, T., Shitov, A., & Karagodin, A. (2024, January 27). Radon variability as a result of interaction with the environment. Atmosphere, 15(2), 167. https://doi.org/10.3390/atmos15020167

Pulinets, S. A. (2024, January 22). Physical bases of the short-term forecast of earthquakes. Astronomical and Astrophysical Transactions, 1476-3540. https://doi.org/10.17184/eac.8366

Liu, J.-Y. T., Shen, X., Chang, F.-Y., Chen, Y.-I., Sun, Y.-Y., Chen, C.-H., Pulinets, S., Hattori, K., Ouzounov, D., Tramutoli, V., et al. (2024, January 20). Spatial analyses on pre-earthquake ionospheric anomalies and magnetic storms observed by China seismo-electromagnetic satellite in August 2018. Geoscience Letters, 11(1), 20. https://doi.org/10.1186/s40562-024-00320-2

Grimalsky, V., Kotsarenko, A., Yutsis, V., Pulinets, S., & Del Razo Gonzalez, A. (2023, December 29). New insights into the simulations of electric currents for discharges and ULF magnetic-field perturbations: Applications to the Popocatepetl Volcano and a micro-discharge model. Remote Sensing, 16(1), 151. https://doi.org/10.3390/rs16010151

Shitov, A. V., Pulinets, S. A., & Budnikov, P. A. (2023, August). Effect of earthquake preparation on changes in meteorological characteristics (based on the example of the 2003 Chuya earthquake). Geomagnetism and Aeronomy, 63(6), 745–755. https://doi.org/10.1134/s0016793223600285

Chaitanya Kumar Mankala | Computational Science | Best Researcher Award

Mr. Chaitanya Kumar Mankala | Computational Science | Best Researcher Award

Mr. Chaitanya Kumar Mankala | Villanova University | United States

Dr. Chaitanya K. Mankala is a distinguished technologist and researcher specializing in artificial intelligence, cloud architecture, and large-scale enterprise systems. He has led transformative initiatives at global organizations including Deloitte, Capgemini, and Unisys, driving innovation through the integration of Microsoft Dynamics 365, SAP, and Salesforce platforms. As a top-performing scholar at Villanova University with advanced degrees in Software Engineering and Health Informatics, he is currently pursuing a Ph.D. in Artificial Intelligence. His research explores sustainable real-time natural language processing using serverless architectures and next-generation neuroidal networks, with notable publications and conference presentations at leading international forums such as MDPI, IEEE ISBI, and ICEHTMC. Dr. Mankala’s work bridges AI, cloud technologies, and enterprise intelligence, focusing on developing scalable, ethical, and high-performance digital solutions that shape the future of intelligent systems.

 

Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

Mr. Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

Mr. Tsomene Doungmo Stany Lionel | University of Yaoundé 1 | Cameroon

Tsomene Doungmo Stany Lionel is a passionate and dedicated researcher in organic chemistry with a strong academic foundation from the University of Yaoundé I. Guided by Dr. Angélique Nicolas Messi, he has developed a deep interest in chemical synthesis, molecular modeling, and sustainable material development. His academic journey has been complemented by active participation in international workshops, scientific conferences, and professional training programs focused on structural biology, drug discovery, and research funding. He possesses excellent digital and analytical skills, proficient in a range of scientific software used for chemical analysis and molecular visualization. Fluent in French and English, Lionel communicates scientific ideas effectively and is committed to contributing to innovative and sustainable advancements in chemistry.

Profiles:  Orcid

Featured Publications

Mbeket, S. B. N., Doungmo, S. L. T., & Nicolas, M. A. (2025). Computational insights into C–O–C-type biflavonoids as multi-target inhibitors of ERα, PR, EGFR, and mTOR in breast cancer therapy. Computational and Structural Biotechnology Reports, 100065. https://doi.org/10.1016/j.csbr.2025.100065