Rakesh Rajendran | Optimization Algorithms | Research Excellence Award

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Dr. Rakesh Rajendran | Optimization Algorithms | Research Excellence Award

Regenesys Institute of Management | India

Dr. Rakesh Rajendran, affiliated with the Department of Information Science and Technology, Chennai, India, is a distinguished researcher in the domain of cybersecurity and network resource management. With a focused expertise in denial-of-service (DoS) attack mitigation and resource usage tracking, Dr. Rakesh has contributed significantly to the advancement of secure computing systems. His scholarly output includes 10 peer-reviewed publications, collectively cited 107 times and 5 h-index,  reflecting a growing recognition within the global research community. Collaborating with 29 co-authors across diverse institutions, he has fostered interdisciplinary engagement, enhancing both theoretical insights and practical applications. Notably, his work addresses critical challenges in safeguarding digital infrastructures, underscoring a tangible societal impact by informing resilient cybersecurity practices. His research trajectory demonstrates a commitment to innovative, high-quality scholarship with relevance to both academic and industrial domains, positioning him as a recognized contributor to the advancement of information security and technological reliability worldwide.

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Sheng Xiang | AI | Research Excellence Award

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Assoc. Prof. Dr. Sheng Xiang | AI | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Sheng Xiang is an Associate Researcher at Chongqing University, China, specializing in intelligent battery management systems, energy storage analytics, and data-driven prognostics for lithium-ion batteries. His research expertise lies at the intersection of artificial intelligence, machine learning, and electrochemical energy systems, with a particular focus on remaining useful life prediction, state-of-charge estimation, and lightweight deep learning models for real-world battery applications. He has authored 30 peer-reviewed publications, which have collectively received 1,655 citations, reflecting strong international recognition and an h-index of 17. His recent contributions in high-impact journals such as Energy and Journal of Energy Storage demonstrate methodological innovation and practical relevance, especially for electric vehicles and smart energy systems. With an active collaboration network involving 57 co-authors, his work supports interdisciplinary research and global knowledge exchange. The societal impact of his research is evident in its potential to enhance battery safety, efficiency, sustainability, and lifecycle management in next-generation energy technologies.

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Yaqoot Khan | Chemistry | Research Excellence Award

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Mr. Yaqoot Khan | Chemistry | Research Excellence Award

Beijing Institute of Technology | China

Mr. Yaqoot Khan is an emerging researcher in chemistry and chemical engineering, affiliated with the School of Chemistry and Chemical Engineering at the Beijing Institute of Technology, China. His research work contributes to advanced chemical and materials-related studies, addressing contemporary scientific and engineering challenges. According to Scopus records, he has authored 5 peer-reviewed publications, which have received 15 citations, reflecting growing scholarly recognition. With an h-index of 2, his research demonstrates early-stage but meaningful academic impact. Dr. Khan has actively collaborated with an international network of researchers, as evidenced by his 21 co-authors, indicating strong interdisciplinary and cross-institutional engagement. His work supports knowledge advancement in chemical engineering applications with potential implications for industrial processes, materials development, and sustainable technologies. Overall, Dr. Khan’s contributions highlight a solid foundation in research productivity, collaborative practice, and global academic relevance, positioning him as a promising contributor to the chemical sciences community.

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Béchir Béjaoui | Bioinformatics | Editorial Board Member

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Prof. Béchir Béjaoui | Bioinformatics | Editorial Board Member

Researcher | National Institute of Marine Sciences and Technologies | Tunisia

Prof. Béchir Béjaoui is a distinguished marine and environmental scientist affiliated with the National Institute of Marine Sciences and Technologies (INSTM) in Carthage, Tunisia. His research primarily focuses on coastal and marine ecosystem dynamics, climate change impacts, and the application of advanced modeling and machine learning techniques to assess and manage aquatic environments. Over his career, Dr. Béjaoui has authored 34 scientific publications, collectively cited more than 1,130 times across 954 documents, reflecting his strong academic influence and the global relevance of his research. His work integrates remote sensing, numerical modeling, and ecological indicators to evaluate trophic states, water quality, and biodiversity in sensitive environments, such as the Ichkeul Lake Ramsar sanctuary—a UNESCO biosphere reserve and a critical wetland ecosystem in North Africa. Dr. Béjaoui’s studies, including the development of innovative models such as the TRIX-XGBoost Trophic Model and data-driven approaches for forecasting environmental change, provide valuable insights into sustainable wetland management under anthropogenic and climatic pressures. With over 180 international collaborators, his research reflects a strong commitment to multidisciplinary and cross-institutional cooperation, enhancing the global understanding of marine system resilience. His contributions extend beyond academia to inform environmental policy, conservation planning, and adaptive management strategies, bridging the gap between scientific research and socio-environmental decision-making. Through his sustained scholarly output and leadership in marine ecosystem modeling, Dr. Béjaoui continues to play a pivotal role in advancing data-driven sustainability solutions in the Mediterranean and beyond.

Profile: Scopus

Featured Publications

1. Béjaoui, B., … (2025). TRIX-XGBoost Trophic Model for assessing the trophic status of Ichkeul Lake, a Ramsar sanctuary in Northern Tunisia. Marine Pollution Bulletin.

2. Béjaoui, B., … (2025). Remote sensing and numerical modeling to assess the drought in Ichkeul Lake, a RAMSAR wetland and UNESCO biosphere reserve, under climate change. Regional Studies in Marine Science.

3. Béjaoui, B., … (2025, Conference Paper). Machine learning techniques for forecasting the effect of climate change and anthropogenic pressures on coastal wetlands (Ichkeul Lake, Ramsar site).

Prof. Béjaoui’s work drives innovation in environmental modeling, offering scientifically grounded tools to safeguard fragile aquatic ecosystems against climate and human-induced stressors. His research vision promotes sustainable management of marine and wetland resources, contributing to global efforts toward ecological resilience, climate adaptation, and sustainable development.

Mohammad Abuamsha | FinTech | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Abuamsha | FinTech | Best Researcher Award

Associate Professor | Palestine Technical University | Palestine

Assoc. Prof. Dr. Mohammad Kamal Abuamsha, affiliated with Palestine Technical University – Kadoorie, is an emerging scholar whose research lies at the intersection of economics, financial sustainability, and the informal or shadow economy, with a particular focus on the socioeconomic dynamics of developing regions such as Palestine. With 8 peer-reviewed publications and 28 citations, his academic contributions demonstrate growing recognition in the international research community. His work explores critical themes including financial resilience, macroeconomic stability, fiscal policy, and the interaction between economic informality and sustainable development. Through rigorous quantitative and econometric analyses, Dr. Abuamsha’s studies provide empirical insights into how informal economic activities influence public finance, growth trajectories, and policy formulation in constrained or transitional economies. His recent publication, “Shadow Economy–Financial Sustainability Nexus: The Case of Palestine” (Journal of Economic Studies, 2024), represents a key contribution to understanding financial sustainability in the context of structural economic challenges. Collaborating with multidisciplinary teams across regional and international institutions, Dr. Abuamsha integrates economic theory with applied policy research, enhancing the evidence base for sustainable economic governance. His modest yet impactful publication record, coupled with a developing citation profile (h-index: 4), underscores his growing influence in the fields of development economics and financial policy. Beyond academia, his research supports informed decision-making for governments, development agencies, and financial institutions working to enhance fiscal transparency and resilience in emerging markets. Collectively, Dr. Abuamsha’s scholarly endeavors reflect a commitment to advancing data-driven, inclusive, and sustainable economic systems within and beyond the Palestinian context.

Profiles: Scopus | ORCID

Featured Publication

1. Abuamsha, M. K., & Hattab, L. M. (2023). Shadow economy–financial sustainability nexus: the case of Palestine. Journal of Economic Studies, 51(2), 375–393.
Cited by: 8

Assoc. Prof. Dr. Abuamsha’s work advances global understanding of the interplay between shadow economies and financial sustainability, offering evidence-based pathways to strengthen economic resilience in developing regions. His vision centers on empowering societies through sustainable fiscal policies that bridge the gap between informal activity and formal economic growth.

Monalisha Nayak | spectroscopy | Best Researcher Award

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Ms. Monalisha Nayak | spectroscopy | Best Researcher Award

Research Scholar | Banaras Hindu University | India

Ms. Monalisha Nayak from Banaras Hindu University, Varanasi, India, is an emerging researcher specializing in nanomaterials, semiconductor physics, and optical material engineering. Her work primarily focuses on the design and characterization of doped metal oxide nanostructures, particularly transition metal–doped ZnO nanoparticles, to enhance their optical, magnetic, and electronic functionalities. Ms. Nayak has authored 5 research publications that collectively reflect her growing contribution to the field of advanced materials and nanotechnology. Her research has attracted 3 citations and she holds an h-index of 1, marking the early yet impactful phase of her academic career. A notable publication, “Concentration-engineered structural and optical properties in Fe/Ni Co-Doped ZnO nanoparticles” (Materials Letters, 2026), highlights her innovative approach to concentration engineering, investigating how dual doping modifies the structural defects, bandgap behavior, and photoluminescent responses of ZnO-based systems. Through advanced characterization techniques such as X-ray diffraction (XRD), UV–Vis spectroscopy, and photoluminescence (PL) analysis, she explores the intricate relationship between crystal structure, defect chemistry, and optical emission properties. Her studies contribute significantly to the understanding of defect-controlled tuning of semiconductor materials, with potential applications in optoelectronics, spintronics, photocatalysis, and energy devices. By integrating synthesis innovation with materials characterization, Ms. Nayak’s research advances the scientific foundations of multifunctional nanomaterials, establishing her as a promising figure in the expanding domain of functional oxide nanoscience and photonic material engineering.

Profiles: Scopus | Google Scholar

Featured Publications

1. Patel, C. B., Nayak, M., Pandey, S., Prakash, O., Singh, S. K., & Singh, R. K. (2024). Spectroscopic study of coordination of Cu²⁺ with liquid crystal HBDBA: An investigation at ultra-trace level. Chemical Physics Impact, 8, 100649.
Cited by: 3

2. Nayak, M., Patel, C. B., Mishra, A., Singh, R., & Singh, R. K. (2024). Unveiling the influence of glutathione in suppressing the conversion of aspirin to salicylic acid: A fluorescence and DFT study. Journal of Fluorescence, 34(3), 1441–1451.
Cited by: 1

3. Seth, S., Mondal, B., Nayak, M., & Pal, S. P. (2025). Effect of different synthesis parameters on the structural, morphological and optical properties of hydrothermally synthesized Tungsten Diselenide (WSe₂) nanostructures. Materials Today Communications, Article 113793.

4. Mishra, M., Verma, A., Yadav, R., Singh, S., Singh, S., Srivastava, R., Singh, S. K., … (2025). Concentration-engineered structural and optical properties in Fe/Ni co-doped ZnO nanoparticles. Materials Letters, Article 139398.

5. Nayak, M., Patel, C. B., Prakash, O., Singh, A. K., & Singh, R. K. (2025). Detection of a neurotoxin quinolinic acid at ultra-trace amount: SERS and DFT study. Journal of Raman Spectroscopy.

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