Tarek Sheltami | Intrusion Detection Systems | Excellence in Research Award

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Prof. Tarek Sheltami | Intrusion Detection Systems | Excellence in Research Award

Professor | King Fahd University of Petroleum and Minerals | Saudi Arabia

Prof. Tarek Rahil Sheltami is a distinguished researcher at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, whose extensive work spans across wireless communication networks, intelligent transportation systems, and optimization algorithms. With an impressive 188 publications, over 3,372 citations, and an h-index of 31, his research reflects both depth and influence in advancing smart and connected technologies. His recent studies emphasize dynamic traffic network optimization, intelligent mobility, and deep reinforcement learning-based spectrum sharing—key enablers of next-generation smart cities and autonomous systems. Dr. Sheltami’s contributions to network security, particularly in optimizing device hardening in multivendor environments, demonstrate a commitment to enhancing reliability and safety in complex infrastructures. His investigations into last-mile delivery optimization, drone-assisted logistics, and vehicular communication systems integrate artificial intelligence, machine learning, and simulation-based modeling to solve real-world mobility challenges. As a collaborator in numerous interdisciplinary projects, he has significantly influenced the development of smart transportation ecosystems, Internet of Things (IoT) applications, and cyber-physical systems. His editorial and conference contributions, such as the 1st International Conference on Smart Mobility and Logistics Ecosystems (SMiLE 2024), further underscore his leadership in bridging research and innovation in digital transportation. Overall, Dr. Sheltami’s scholarly portfolio represents a fusion of computational intelligence, network optimization, and sustainable urban mobility solutions, positioning him as a pivotal figure in shaping the future of smart, secure, and adaptive communication systems.

Profiles: Scopus | ORCID | Google Scholar

Featured publications

1. Shakshuki, E., Kang, N., & Sheltami, T. (2013). EAACK—A secure intrusion detection system for MANETs. IEEE Transactions on Industrial Electronics, 60(3), 1089–1098.
Cited by: 527

2. Kang, N., Shakshuki, E. M., & Sheltami, T. R. (2010). Detecting misbehaving nodes in MANETs. Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS), 216–222. 
Cited by: 154

3. Chaer, A., Salah, K., Lima, C., Ray, P. P., & Sheltami, T. (2019). Blockchain for 5G: Opportunities and challenges. 2019 IEEE Globecom Workshops (GC Wkshps), 1–6. 
Cited by: 146

4. Akhlaq, M., Sheltami, T. R., & Mouftah, H. T. (2012). A review of techniques and technologies for sand and dust storm detection. Reviews in Environmental Science and Biotechnology, 11(3), 305–322. 
Cited by: 141

5. Sheltami, T., Al-Roubaiey, A., Shakshuki, E., & Mahmoud, A. (2009). Video transmission enhancement in presence of misbehaving nodes in MANETs. Multimedia Systems, 15(5), 273–282. 
Cited by: 139

Mohammad Alomari | Financial inclusion | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Alomari | Financial inclusion | Best Researcher Award

Associate Professor | The Hashemite university | Jordan

Assoc. Prof. Dr. Mohammad W. Alomari, affiliated with Hashemite University in Zarqa, Jordan, focuses his research on development economics, with particular attention to poverty alleviation, microfinance, and socio-economic policy analysis. His scholarly contributions investigate the chronic nature of poverty and the mechanisms through which financial tools, like microfinance, can mitigate its severity and long-term impacts. Through empirical analysis, Dr. Alomari explores how targeted economic interventions influence both individual livelihoods and broader economic structures, especially in developing and underserved regions. His work, such as the 2025 article “The chronic illness of poverty: the effects of microfinance on the severity of poverty and the cost of its eradication” published in the Journal of Economic Studies, underscores the multidimensionality of poverty, arguing that financial inclusion strategies can reduce vulnerability and foster resilience among the poor. Moreover, his research critically examines the cost-effectiveness of poverty eradication programs, contributing valuable insights for policymakers and international development agencies. With 12 publications , 67 citations and an h-index of 5, Dr. Alomari has established a growing academic presence, cited across diverse economic and social science forums. His work often intersects with themes such as income inequality, sustainable development, and the economic empowerment of marginalized populations. Dr. Alomari’s research approach blends quantitative and policy-oriented perspectives, making his findings both academically robust and practically applicable. His contributions support ongoing efforts to design evidence-based economic policies that address persistent poverty and promote inclusive growth in low-income and transitional economies.

Profiles: Scopus | Google Scholar

Featured Publications

1. Alomari, M. W., & Azzam, I. A. (2017). Effect of the micro and macro factors on the performance of the listed Jordanian insurance companies. International Journal of Business and Social Science, 8(2), 66–73. Cited by: 65

2. Alomari, M. W., Marashdeh, Z., & Bashayreh, A. G. (2019). Contribution of financial market development in competitiveness growth. Cogent Economics & Finance.
Cited by: 24

3. Marashdeh, Z., Alomari, M. W., Khataybeh, M., & Alkhataybeh, A. (2021). Female representation on the boards of directors of non-financial companies. Journal of Governance and Regulation, 10(2).
Cited by: 20

4. Marashdeh, R. M. A. Z., Alomari, M. W., & Aleqab, M. M. (2021). Board characteristics and firm performance: The case of Jordanian non-financial institutions. Journal of Governance & Regulation, 10(3), 150–159.
Cited by: 19

5. Abdelhadi, S., Bashayreh, A. G., & Alomari, M. W. (2019). The impact of export instability on economic growth: Sample of MENA countries. International Journal of Economics and Business Research, 18(4), 429–435.
Cited by: 19

 

Shao-Chun Li | Quantum Materials | Best Researcher Award

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Prof. Shao-Chun Li | Quantum Materials | Best Researcher Award

Professor | Nanjing University | China

Prof. Shao Chun Li, affiliated with Nanjing University, is a prolific researcher whose work primarily focuses on condensed matter physics and materials science, particularly low-dimensional quantum materials. His research explores the fundamental electronic properties of transition metal dichalcogenides (TMDs) and topological materials such as WTe₂ and ZrTe₅. These materials are of significant interest due to their exotic quantum phenomena, including quantum spin Hall effect, topological insulating behavior, superconductivity, charge density waves, and pseudogap states. Notable among his contributions is the observation of a Coulomb gap in monolayer 1T’-WTe₂, which has implications for understanding electron-electron interactions in two-dimensional systems. He has also investigated potassium-intercalated Td-WTe₂ and revealed emergent superconducting properties, broadening the potential for novel quantum device applications. Furthermore, his work on 1T-TiSe₂ provided insights into charge density wave inhomogeneity and pseudogap phenomena, contributing to the broader understanding of correlated electron systems. Through detailed experimental techniques such as scanning tunneling microscopy (STM) and angle-resolved photoemission spectroscopy (ARPES), Prof. Li’s research elucidates the complex interplay of lattice, charge, and spin in quantum materials. With over 3,642 citations and an h-index of 30, his scholarly output, including 59 publications in high-impact journals like Nature Communications, Nano Letters, and Physical Review B, reflects his strong influence in the field. Prof. Li’s investigations not only deepen the fundamental understanding of quantum states of matter but also support the development of next-generation electronic and quantum technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Song, Y.‑H., Jia, Z.‑Y., Zhang, D., Zhu, X.‑Y., Shi, Z.‑Q., Wang, H., Zhu, L., Yuan, Q.‑Q., Zhang, H., Xing, D.‑Y., & Li, S.‑C. (2018). Observation of Coulomb gap in the quantum spin Hall candidate single‑layer 1T′‑WTe₂. Nature Communications, 9(1). 
 Cited by: 74

2. Zhu, L., Li, Q.‑Y., Lv, Y.‑Y., Li, S.‑C., Zhu, X.‑Y., Jia, Z.‑Y., et al. (2018). Superconductivity in potassium‑intercalated Td‑WTe₂. Nano Letters, 18(10). 
Cited by: 63

3. Zhang, K.‑W., Yang, C.‑L., Lei, B., Lu, P., Li, X.‑B., Jia, Z.‑Y., Song, Y.‑H., Sun, J., Chen, X., Li, J.‑X., & Li, S.‑C. (2018). Unveiling the charge density wave inhomogeneity and pseudogap state in 1T‑TiSe₂. Science Bulletin, 63(7), 426‑432. 
Cited by: 20

Amber Pervaiz | Economics | Best Researcher Award

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Dr. Amber Pervaiz | Economics | Best Researcher Award

Analyst | University of Education | Pakistan

Dr. Amber Pervaiz is a distinguished academic in the field of Economics, holding a PhD with over 7 years of research experience. She has been recognized for her outstanding academic and research contributions, including being a Gold Medalist and receiving multiple awards such as the Best Researcher Award (2019) and a Cash Prize from Superior University for her top position in M.Phil. Economics (2020). Her expertise spans advanced econometrics, spatial analysis, quantitative techniques, and the proficient use of analytical tools like Smart PLS, EViews, Stata, SPSS, and Geoda. Dr. Pervaiz’s research is primarily focused on Economics & Finance, Energy & Environment, with key interests in Climate Change, Sustainability, the Green Economy, and Inclusive Wealth. She has presented and chaired sessions at several national and international conferences and served as a keynote speaker in Malaysia. Her teaching interests include Microeconomics, Macroeconomics, Econometrics, and Research Methodology. Her impactful scholarship highlights her commitment to addressing critical economic and environmental challenges through rigorous empirical research. According to Scopus, she has published 19 documents, with 606 citations, and holds an h-index of 8.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Ahmed, F., Kousar, S., Pervaiz, A., & Shabbir, A. (2022). Do institutional quality and financial development affect sustainable economic growth? Evidence from South Asian countries. Borsa Istanbul Review, 22(1), 189–196.
Cited by: 311

2. Ahmed, F., Kousar, S., Pervaiz, A., Trinidad-Segovia, J. E., & Others. (2022). Role of green innovation, trade and energy to promote green economic growth: A case of South Asian Nations. Environmental Science and Pollution Research, 29(5), 6871–6885.
Cited by: 139

3. Abbas, S., Kousar, S., & Pervaiz, A. (2021). Effects of energy consumption and ecological footprint on CO₂ emissions: An empirical evidence from Pakistan. Environment, Development and Sustainability, 23(9), 13364–13381.
Cited by: 118

4. Ahmed, F., Kousar, S., Pervaiz, A., & Ramos-Requena, J. P. (2020). Financial development, institutional quality, and environmental degradation nexus: New evidence from asymmetric ARDL co-integration approach. Sustainability, 12(18), 7812.
Cited by: 112

5. Ullah, A., Dogan, M., Pervaiz, A., Bukhari, A. A. A., Akkus, H. T., & Dogan, H. (2024). The impact of digitalization, technological and financial innovation on environmental quality in OECD countries: Investigation of N-shaped EKC hypothesis. Technology in Society, 77, 102484.
Cited by: 76

Yaqin wu | Natural Language Processing | Best Researcher Award

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Ms. Yaqin Wu | Natural Language Processing | Best Researcher Award

Lecturer | Shanxi Agricultural University | China

Ms. Yaqin Wu is a dedicated researcher with specialized expertise in acoustic signal analysis, deep learning, and multimodal information fusion. Yaqin is adept in Python, MATLAB, MySQL, and Linux systems. Their academic and project experience spans both voice signal processing and intelligent animal behavior monitoring. Yaqin has led and participated in several impactful projects, including the development of an automatic pathological voice disorder detection system (2022–2023), a MATLAB-based ideological education initiative, and a master’s thesis on pathological voice restoration algorithms, which involved advanced techniques like multi-tone signal processing and speech synthesis. They contributed to AVS audio codec development and handled multiple modules including G.729 codec optimization. Notably, Yaqin is involved in pioneering multimodal deep learning projects for health and behavior monitoring in livestock, combining audio and video data to detect issues like coughing and feeding irregularities. Their work has also extended to calf diarrhea behavior detection using asynchronous multimodal fusion. Recognized for academic excellence and leadership, Yaqin has received multiple honors, including the “Outstanding Achievement Award” for their master’s thesis, first prizes in science and mathematics competitions, and numerous scholarships and commendations across institutions. To date, Yaqin Wu has published 9 documents, received 80 citations, and holds an h-index of 3, reflecting a growing impact in the fields of signal processing and intelligent monitoring systems.

Profile: Scopus

Featured Publication

1. GBNF-VAE: A pathological voice enhancement model based on gold section for bottleneck feature with variational autoencoder.
Cited by: 2

Chandra Mohan | Chemistry | Scientific Impact Award

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Assoc. Prof. Dr. Chandra Mohan | Chemistry | Scientific Impact Award

Associate Professor | K.R. Mangalam University | India

Assoc. Prof. Dr. Chandra Mohan is an accomplished Associate Professor of Chemistry, currently serving at K.R. Mangalam University, Gurugram, with over 12 years of teaching and research experience. Recognized in the Top 2% of Scientists for 2025 by Stanford University and Elsevier, Dr. Mohan specializes in chemical sensors, transition metal chemistry, bimetallic complexes, dye degradation, and electrochemical sensor fabrication. He earned his Ph.D. in Inorganic Chemistry from Guru Gobind Singh Indraprastha University, Delhi, focusing on Schiff base metal complexes for chemical sensing. He has also completed an M.Phil. from the University of Delhi and holds a Post-Doctoral Research Affiliation with Amity University, Dubai. His academic journey is further enriched with an MBA in HR and IT, and a Diploma in Computer Programming. Dr. Mohan’s global collaborations include reputed institutions in the USA, Brazil, France, Portugal, South Africa, and Finland. His research efforts have led to the successful supervision of five Ph.D. scholars (three awarded and two ongoing), along with mentorship to M.Sc. and B.Sc. students. He has published extensively in peer-reviewed journals with a strong citation footprint. His areas of interest include waste treatment, polymer nanocomposites, and the biological activity of heterocyclic compounds. With 157 publications, 1,640 citations, and an h-index of 22, Dr. Mohan continues to contribute significantly to the advancement of chemical sciences. His commitment to sustainable and interdisciplinary research has positioned him as a respected figure in the global scientific community.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kumari, C. M. N. (2021). Basics of clay minerals and their characteristic properties. Clay and Clay Minerals.
Cited by: 528

2. Banik, B. K. (2020). Green approaches in medicinal chemistry for sustainable drug design. Elsevier.
Cited by: 69

3. Kumar, M., Mohan, C., Kumar, S., Epifantsev, K., Singh, V., Dixit, S., & Singh, R. (2022). Coordination behavior of Schiff base copper complexes and structural characterization. MRS Advances, 7(31), 939–943.
Cited by: 57

4. Mohan, C., Robinson, J., Vodwal, L., & Kumari, N. (2024). Sustainable Development Goals for addressing environmental challenges. In Green chemistry approaches to environmental sustainability (pp. 357–374).
Cited by: 53

5. Robinson, J., Kumari, N., Srivastava, V. K., Taskaeva, N., & Mohan, C. (2022). Sustainable and environmental friendly energy materials. Materials Today: Proceedings, 69, 494–498.
Cited by: 35

Jun Xie | Solid mechanics | Best Researcher Award

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Dr. Jun Xie | Solid mechanics | Best Researcher Award

Doctor | Hohai University | China

Dr. Jun Xie, currently a postdoctoral researcher at the College of Mechanics and Engineering Science, Hohai University, earned his Ph.D. in Applied Mathematics from Ningxia University in 2024. His research specializes in the multi-field coupling mechanical behavior of intelligent materials, particularly focusing on the safety performance and optimization of functionally graded composite materials and structures under multi-physical environments. Dr. Xie has made significant advances in the analytical and numerical modeling of magnetoelectric (ME) effects in layered functionally graded piezoelectric/piezomagnetic (FGPEPM) spherical shells. His work derives closed-form solutions under power-law volume fraction gradients and applies the finite difference method (FDM) for arbitrary gradients. To address material property uncertainties, he introduced a novel interval random uncertainty model and developed a deep neural network (NN) framework that serves as a high-precision, computationally efficient surrogate for uncertainty quantification and optimization. This approach significantly reduces computational costs compared to traditional methods while maintaining predictive accuracy, marking a major contribution to intelligent materials research. Dr. Xie’s ongoing projects include the Fundamental Research Funds for the Central Universities (No. B250201171) and the Jiangsu Funding Program for Excellent Postdoctoral Talent (No. 2025ZB867). He has published 21 peer-reviewed SCI papers in high-impact journals such as Composite Structures, Applied Mathematical Modelling, and Thin-Walled Structures. Notably, his 2025 article in Thin-Walled Structures has received 154 citations. As of now, Dr. Xie holds an h-index of 7, reflecting the growing impact and recognition of his contributions to the field of multi-field coupling mechanics.

Profile: Scopus

Featured Publication

1.Data‑driven deep neural network approach for magnetoelectric effects in functionally graded piezoelectric/piezomagnetic spherical shells with material parameters uncertainties. (2026). Thin Walled Structures.

2. Xie, J., Gou, X., & Shi, P. (2025). Exact solutions for the linear hardening elastoplastic model in functionally graded spherical shell. Composite Structures.
Cited by 1.

Lei Tian | Embedded systems | Best Researcher Award

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Assoc. Prof. Dr. Lei Tian | Embedded systems | Best Researcher Award

Laboratory Director | Xi’an University of Posts & Telecommunications | China

Assoc. Prof. Dr. Lei Tian is currently the Laboratory Director at Xi’an University of Posts & Telecommunications and has been engaged in the field of optoelectronic interconnection systems since 2006. He earned his PhD in Circuits and Systems from Xidian University in 2015 and completed postdoctoral research at the Institute of Modern Physics, Northwest University in 2019. His research focuses on photoelectric conversion efficiency, noise reduction modeling, and embedded systems, with an emphasis on new semiconductor materials. Under his leadership, the research group has published over 60 papers, including 15 SCI-indexed, 20 EI-indexed, and 10 core Chinese journal papers. Notable journal contributions include work in the International Journal of Hydrogen Energy, Diamond & Related Materials, and Physica Status Solidi B. He has authored a monograph (ISBN: 978-7-5641-9621-9) and a Ministry of Industry and Information Technology textbook. Dr. Tian has led and completed several key projects, including a current Key R&D project from the Natural Science Foundation of Shaanxi Province, as well as multiple local and provincial initiatives in collaboration with the Xi’an Science and Technology Bureau. He has also contributed to six State Grid projects and various industry-academia engagements. With a strong interdisciplinary background, he continues to drive innovation in optoelectronic system design and modeling. According to current metrics, Lei Tian has 34 published documents, a total of 61 citations, and an h-index of 4, reflecting his growing impact in the field of electronic and photonic system research.

Profile: Scopus

Featured Publications

1. Tian, L., & He, C. (2024). Z-scheme WSTe/MoSSe van der Waals heterojunction as a hydrogen evolution photocatalyst: First-principles predictions. 
Cited by: 1

 2. Tian, L., & He, C. (2024). First-principles exploration of hydrogen evolution ability in MoS₂/hBNC/MoSSe vdW trilayer heterojunction for water splitting.
Cited by: 3