Mehmet Yaman | Research Excellence | Excellence in Research Award

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Dr. Mehmet Yaman | Research Excellence | Excellence in Research Award

Dr. Mehmet Yaman | Research Excellence | Specialist MD at Diyarbakır Gazi Yaşargil EAH | Turkey

Dr. Mehmet Yaman is a medical doctor and specialist in Obstetrics and Gynecology with extensive clinical expertise and a growing academic profile focused on women’s health and advanced gynecologic care. He completed his medical education at a reputable medical faculty and subsequently undertook structured specialist training in obstetrics and gynecology at a major education and research hospital, where he gained comprehensive exposure to complex clinical cases, surgical management, and evidence-based practice. His professional experience spans service in public training hospitals, regional state hospitals, and private healthcare institutions, where he has managed a high volume of patients and demonstrated strong competencies in pregnancy follow-up, labor and delivery, high-risk pregnancy management, urogynecology, endometriosis treatment, and advanced laparoscopic and hysteroscopic surgical techniques.

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Featured Publications

Single-Session No-Touch Hysteroscopic Mechanical Resection for Cesarean Scar Pregnancy: A Novel Primary Treatment Approach
– Diagnostics
Investigation of Protective Effects of Dehydroepiandrosterone (DHEA) Against Toxic Damage Caused by Doxorubicin in Rat Ovaries
– Konuralp Tıp Dergisi
Evaluation of Maternal Serum 25-Hydroxyvitamin D Levels in Patients with Hyperemesis Gravidarum at Early Gestational Weeks
– Eurasian Journal of Family Medicine

Biswajeet Acharya | Medical Discoveries | Young Scientist Award

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Dr. Biswajeet Acharya | Medical Discoveries | Young Scientist Award

Dr. Biswajeet Acharya | Medical Discoveries | Assistant Professor at Gitam School Of Pharmacy | India

Dr. Biswajeet Acharya is an emerging applied scientist and academician in pharmaceutical sciences, currently serving as an Assistant Professor with a strong interdisciplinary research profile spanning pharmacology, nanomedicine, toxicology, and ethnopharmacology. He completed his undergraduate and postgraduate training in pharmacy with specialization in pharmacology, followed by a doctoral degree focused on ethnobotanical exploration combined with in-silico and in-vivo experimental validation, demonstrating a rigorous foundation in both traditional knowledge systems and modern biomedical research methodologies. Dr. Biswajeet Acharya has authored 55 documents with 385 citations and a 9 h-index, reflecting consistent scholarly impact indexed in Scopus and other international databases.

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View Scopus Profile

Featured Publications

Nanotechnology in Placental Cancers: Advances in Targeted Therapy and Non-Invasive Diagnostics
– Medical Oncology, Springer Nature
Nanotechnology-Driven Cardiac Tissue Engineering and 3D Bioprinting: Mechanistic Insights into Myocardial Repair and Regeneration
– Nano Trends, Elsevier
Pathomechanisms, Genetic Insights, and Therapeutics in Diabetes-Associated Dementia
– Journal of Endocrinology
Ethnobotanical Investigations of Medicinal Plants with Antimicrobial, Antioxidant, Analgesic, and Anti-Inflammatory Potential in Khordha District, Odisha, India
– Ethnobotany Research and Applications
Ethnobotanical Study of Traditional Antidiabetic Plants with Potential Synergistic Use with Modern Formulations in Coastal Odisha, India
– Ethnobotany Research and Applications

Adriana Lopes | Research Excellence | Research Excellence Award

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Dr. Adriana Lopes | Research Excellence | Research Excellence Award

Dr. Adriana Lopes | Research Excellence | Research Excellence Award | Research scientist at Butantan university | Brazil

Dr. Adriana Lopes is an accomplished biochemist and senior scientific researcher recognized for her contributions to insect biochemistry, venom biology, proteomics, and enzyme-mediated biological interactions. Her educational background includes formal training in Biological Sciences at the Institute of Biosciences, University of São Paulo, followed by advanced graduate studies in Biochemistry at the Institute of Chemistry, University of São Paulo, where she completed both her master’s and doctoral research focusing on insect digestive enzymes, protease characterization, and insect–plant interactions under expert academic supervision. She has authored 33 documents, received 761 citations, and maintains a 14 h-index, reflecting sustained scholarly impact and visibility within the global scientific community. Her publication portfolio includes open-access articles in reputed international journals such as Scientific Reports and Toxins, highlighting both fundamental and applied research outcomes.

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Featured Publications


Molecular Mechanisms of Venom Diversity
– Review Article | Open Access

Digestion in the arachnid Mischonyx squalidus as a probable source of lipids to synthesize opiliones defense and communication molecules
– Scientific Reports | Open Access

Functional and Proteomic Characterization of Acanthophis antarcticus Venom: Evidence of Fibrinogenolytic and Serine Peptidase Inhibitory Activities
– Toxins | Open Access

Huibo Bi | Energy Sustainability | Research Excellence Award

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Dr. Huibo Bi | Energy Sustainability | Research Excellence Award

Dr. Huibo Bi | Energy Sustainability | Assistant Professor at Beijing University of Technology | China

Dr. Huibo Bi is an accomplished academic and applied scientist serving as an Assistant Professor at the College of Metropolitan Transportation, Beijing University of Technology, P.R. China. He is internationally recognized for his contributions to intelligent transportation systems, emergency management, brain-inspired computing, system optimisation, and energy-efficient urban infrastructure. Dr. Huibo Bi received his doctoral training in Electrical and Electronic Engineering from a leading global research university, following advanced postgraduate education in control science and a foundational engineering degree in automation.  Dr. Huibo Bi possesses advanced research skills in data-driven modelling, deep reinforcement learning, graph learning, optimisation algorithms, energy-aware control systems, and large-scale simulation of transportation networks. He has authored 28 documents, 608 Citations, 12 h-index, demonstrating sustained research impact and academic influence.

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View Scopus Profile

Featured Publications


Learning-based Hybrid Control for Hydrogen-Powered Fuel Cell Bus in Entire Route with Complex Traffic Dynamics

– Expert Systems with Applications, 2026


The Impact of Deep Reinforcement Learning-Based Traffic Signal Control on Emission Reduction in Urban Road Networks Empowered by Cooperative Vehicle–Infrastructure Systems

– Applied Energy, 2025

Reepu | Finance | Best Researcher Award

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Dr. Reepu | Finance | Best Researcher Award

Chandigarh University | India

Dr. Reepu is a prolific interdisciplinary researcher whose work spans financial technology, artificial intelligence, sustainable systems, digital business models, and consumer behavior, supported by 58 publications and 165 citations across 136 documents. Her research consistently integrates advanced technologies—AI, machine learning, blockchain, IoT, and data-driven analytics—into domains such as finance, marketing, healthcare, and sustainability. A major thematic focus of her scholarship is technology adoption and its psychological, operational, and strategic implications, demonstrated through studies on consumer readiness for self-service technologies, mobile wallet acceptance in smart cities, AI-driven value creation, and customer churn forecasting. In fintech and digital finance, Dr. Reepu has contributed influential work on neo-banking models, green stock diversification, Gann-based financial forecasting, sustainability performance in private banking, and perceived risks influencing online banking use. Parallel to this, her research in neuromarketing, deepfake detection, and human–machine interfaces reflects a keen interest in cognitive responses, ethical AI, user experience, and emerging digital risks. Dr. Reepu also extends her expertise to sustainability and circular economy themes through publications on supply chain traceability using blockchain, solid waste management in high-altitude tourist regions, and the role of circular economy frameworks in promoting sustainable innovation. Her work is widely disseminated through journal articles, book chapters, and conference papers, collectively contributing to contemporary debates at the intersection of technology, finance, and societal development. Dr. Reepu’s research portfolio reflects a forward-looking vision, offering both conceptual depth and practical insights aligned with the needs of rapidly evolving digital and sustainable ecosystems.

Profiles: Scopus | Orcid

Featured Publications

  • Reepu, R., Kashif, M., Taneja, S., & Kumar, P. (2025). Forecasting stock values by integrating Gann square analysis with artificial intelligence (AI). In Advanced Trends in Financial Analytics (Book chapter). Springer.

  • Reepu, R., Kaya, R. R., & Türkmen, İ. (2025). A study in understanding the critical effects of consumer readiness towards self-service technology: Mediating effects of situational factors. In Technology-Driven Customer Behavior Studies (Book chapter). IGI Global.

  • Reepu, R., Kaur, G., & Sharma, S. (2025). An empirical investigation in understanding the role of artificial intelligence in enhancing the patient experience. In AI Applications in Healthcare Systems (Book chapter). IGI Global.

  • Reepu, R. (2024). The role of artificial intelligence in neuromarketing in understanding consumer behaviour. In Neuromarketing: Concepts and Ethical Implications (Book chapter). IGI Global.

  • Reepu, R., Kaur, G., & Sharma, S. (2024). Sustainable methods for solid waste management in high-altitude tourist regions. In Environmental Sustainability Practices in Emerging Contexts (Book chapter). IGI Global.

Ndukwe Johnson kalu | Waste Valorization | Excellence in Research Award

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Dr. Ndukwe Johnson kalu | Waste Valorization | Excellence in Research Award

UNESCO International Centre for Biotechnology | Nigeria

Dr. Ndukwe Johnson Kalu is a multidisciplinary microbiologist whose research advances microbial waste valorization, bioconversion processes, sustainable bioenergy, and food security solutions, supported by a growing scholarly impact reflected in 241 citations, an h-index of 8, and an i10-index of 7. His work focuses on transforming agricultural and industrial wastes into high-value products such as bioelectricity, biogas, biofertilizers, biochar, and microbial-derived biomolecules, contributing significantly to circular bioeconomy innovations. Dr. Ndukwe has explored the therapeutic potential of microalgae-derived bioactive compounds for managing human disease conditions, providing new directions in functional microbiology. His influential studies on weak acid–induced stress tolerance in yeasts offer essential insights for improving lignocellulosic bioethanol production, enabling more efficient and robust biofuel systems. He has contributed to solving digester instability challenges in anaerobic treatment processes, promoting advancements in renewable energy technologies. His research on microbial glycolipids supports the development of eco-friendly biomedical and personal care products, while his work on cassava waste valorization demonstrates integrated pathways for generating bioelectricity and organic fertilizers. Dr. Ndukwe has also investigated indigenous probiotic beverages, microbial biofilms in dye degradation for textile wastewater treatment, and the biotechnological relevance of keratinases. Beyond laboratory research, he is contributing to scientific knowledge mapping through bibliometric and systematic reviews that examine microbial waste valorization research in Africa, global bioscience trends, and disease-focused research domains such as Alzheimer’s disease and Plasmodium falciparum. Through these diverse efforts, Dr. Ndukwe Johnson Kalu is emerging as an impactful researcher driving sustainable biotechnology and environmental resilience across the African continent and beyond.

Profiles: Google Scholar | Scopus |Orcid

Featured Publications

  • Eze, C. N., Onyejiaka, C. K., Ihim, S. A., Ayoka, T. O., Aduba, C. C., Ndukwe, J. K., Nwaiwu, O., & Onyeaka, H. (2023). Bioactive compounds by microalgae and potentials for the management of some human disease conditions. AIMS Microbiology, 9(1), 55–69.

  • Ndukwe, J. K., Aliyu, G. O., Onwosi, C. O., Chukwu, K. O., & Ezugworie, F. N. (2020). Mechanisms of weak acid-induced stress tolerance in yeasts: Prospects for improved bioethanol production from lignocellulosic biomass. Process Biochemistry, 90, 118–130.

  • Onwosi, C. O., Eke, I. E., Igbokwe, V. C., Odimba, J. N., Ndukwe, J. K., Chukwu, K. O., Aliyu, G. O., & Nwagu, T. N. (2019). Towards effective management of digester dysfunction during anaerobic treatment processes. Renewable and Sustainable Energy Reviews, 116, 109424.

  • Ndukwe, J. K., Aduba, C. C., Ughamba, K. T., Chukwu, K. O., Eze, C. N., Nwaiwu, O., & Onyeaka, H. (2023). Diet diversification and priming with Kunu: An indigenous probiotic cereal-based non-alcoholic beverage in Nigeria. Beverages, 9(1), 14.

  • Aduba, C. C., Ndukwe, J. K., Onyejiaka, C. K., Onyeiwu, S. C., & Moneke, A. N. (2023). Integrated valorization of cassava wastes for production of bioelectricity, biogas and biofertilizer. Waste and Biomass Valorization, 14(12), 4003–4019.

Sirinya Sitthirak | Cancer | Excellence in Research Award

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Dr. Sirinya Sitthirak | Cancer | Excellence in Research Award

Walailak University | Thailand

Dr. Sirinya Sitthirak is an emerging scientist specializing in cancer genomics, multi-omics integration, and computational biology, with a strong focus on accelerating precision oncology through advanced data analytics. Her research spans cancer genomics, proteomics, phosphoproteomics, metabolomics, microbiome studies, and systems-level multi-omics approaches, allowing her to dissect tumor complexity and uncover biomarkers that drive cancer progression and therapeutic response. She has contributed to impactful research such as predicting cisplatin response in cholangiocarcinoma using chromosome patterns and gene-expression signatures, reflecting her commitment to improving clinical outcomes through translational genomics. Dr. Sitthirak is proficient in genome-wide association studies (GWAS), high-throughput data analysis, and Linux-based bioinformatics workflows using R and Python, enabling her to explore cancer evolution, drug resistance mechanisms, and tumor ecological dynamics. Her scientific engagement is demonstrated through invited oral and poster presentations at prestigious global platforms, including the Cancer Evolution: From Genome to Ecology meeting hosted by Wellcome Connecting Science at the University of Cambridge, the International Conference on Cancer Bioinformatics (ETH Zurich), and the European Association for Cancer Research (EACR) conferences. Dr. Sitthirak has earned multiple competitive honors, including bursaries, travel grants, and international presentation awards, underscoring the significance of her contributions. She is also actively involved in capacity building as an instructor for regional bioinformatics programs, teaching helminth genomics, SARS-CoV-2 bioinformatics, and cancer genome analysis across Asia. Overall, her research integrates multi-omics technologies with computational innovation to advance the understanding of cancer biology and support the development of precision diagnostic and therapeutic strategies.

Profile: Scopus

Featured Publication

Sitthirak, S., [Co-authors]. (2025). Predicting cisplatin response in cholangiocarcinoma patients using chromosome pattern and related gene expression. Scientific Reports.

Qi Zhan | Computing and Network Convergence | Research Excellence Award

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Mr. Qi Zhan | Computing and Network Convergence | Research Excellence Award

Information Engineering University | China

Mr. Qi Zhan is an emerging researcher whose work focuses on advancing intelligent, adaptive, and resource-efficient solutions across network architecture, network intelligence, and machine learning. His research addresses the increasing complexity of distributed packet-measurement systems within Computing and Network Convergence (CNC), where dynamic traffic patterns and heterogeneous resource conditions require optimized orchestration strategies. Mr. Zhan has developed a reinforcement learning–based orchestration method for distributed sketch deployment, offering a significant advancement over traditional static or heuristic allocation approaches. His method enables an intelligent agent to continuously sense node-level resource states and automatically adjust deployment decisions to achieve global optimization. Through this approach, he successfully reduces maximum resource utilization, minimizes the standard deviation of resource consumption, and achieves balanced packet-measurement load distribution across distributed nodes. These improvements enhance fairness, increase scalability, and promote more stable operational performance within large-scale programmable networks. His recent publication, Enabling Resource-Aware Distributed Sketch Deployment with Reinforcement Learning, demonstrates how reinforcement learning can effectively support fine-grained measurement tasks while reducing overhead and adapting to real-time network changes. By integrating machine learning with network system design, Mr. Zhan’s work contributes to the development of intelligent, self-optimizing network infrastructures capable of supporting future high-performance, data-driven, and computation-intensive distributed applications.

Profiles: Orcid

Featured Publication 

Zhan, Q., Dong, Y., Tian, L., Hu, Y., Xia, J., Zhu, Y., Wang, Z., Guo, X., & Li, H. (2025). Enabling resource-aware distributed sketch deployment with reinforcement learning. Conference paper presented at the ACM.

Joyce Mongai Chindong | Remote Sensing in Agriculture and Vegetation | Research Excellence Award

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Ms. Joyce Mongai Chindong | Remote Sensing in Agriculture and Vegetation | Research Excellence Award

Mohammed VI Polytechnic University | Morocco

Ms. Joyce Mongai Chindong is an emerging researcher in geospatial sciences whose work centers on leveraging GIS, remote sensing, and machine learning to improve environmental monitoring in data-scarce regions. Her research primarily focuses on soil degradation processes, including drought dynamics and soil salinity, by integrating multi-sensor satellite observations, proximal sensing techniques, and advanced analytical frameworks. She applies Earth Observation data—such as remotely sensed precipitation products, vegetation indices like NDVI, and field-based spectral and electrical conductivity measurements—to quantify environmental anomalies and assess ecosystem responses to climatic variability. Ms. Chindong’s work emphasizes methodological rigor through preprocessing workflows, anomaly detection, spatial modeling, and the use of supervised learning algorithms to generate accurate, scalable predictions of land surface conditions. Her recent contribution, a multi-sensor machine learning framework for field-scale soil salinity mapping, demonstrates her commitment to developing robust, transferrable solutions for sustainable land management, particularly in resource-limited environments where environmental data is sparse. By combining optical, radar, and ground-based measurements with algorithmic modeling, she advances the precision and reliability of landscape-level assessments that support agricultural resilience and environmental planning. Motivated by global sustainability goals, Ms. Chindong aims to refine geospatial intelligence to better understand environmental processes across diverse landscapes. Her interdisciplinary approach—blending geoinformation science, environmental monitoring, and computational methods—positions her as a promising contributor to research on land degradation, climate impacts, and data-driven environmental decision-making.

Profile: Orcid

Featured Publication

Chindong, J. M., Ouzemou, J.-E., Laamrani, A., El Battay, A., Hajaj, S., Rhinane, H., & Chehbouni, A. (2025). A multi-sensor machine learning framework for field-scale soil salinity mapping under data-scarce conditions. Remote Sensing, 17(22), Article 3778.

Zhiguo Meng | Remote Sensing Geology | Research Excellence

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Prof. Dr. Zhiguo Meng | Remote Sensing Geology | Research Excellence

Jilin University | China

Prof. Dr. Zhiguo Meng is a prominent lunar remote sensing and planetary geoscience scholar whose research has substantially advanced our understanding of the Moon’s surface processes, thermophysical behavior, and geological evolution, supported by an impressive record of 105 scientific publications, 771 citations from 446 citing documents, and an h-index of 16. His work focuses extensively on analyzing multi-frequency microwave radiometer data, thermal radiation characteristics, and regolith properties derived from China’s Chang’e missions, including CE-2, CE-4, CE-5, and CE-6. Meng has contributed major breakthroughs in constructing global lunar brightness temperature datasets, defining effective brightness temperature differences, and developing innovative techniques to detect subsurface anomalies and assess the thermophysical properties of lunar deposits in regions such as Oceanus Procellarum, Mare Imbrium, Lacus Mortis, and the Schiller–Schickard cryptomare. His research reveals new insights into lunar volcanic evolution, crustal structure, and thermal history by studying crater emissions, lava flows, and regolith heat production rates. Meng is also active in developing advanced computational tools, including deep learning frameworks such as MFBTFF-Net, to estimate lunar surface oxide abundances using Chang’e microwave sounder data. His interdisciplinary contributions extend to planetary formation studies, notably using Chang’e-4 data to examine millimeter-scale particle–surface collisions, and to Earth-based applications, including InSAR-based ground deformation monitoring in mining and earthquake-prone regions. Through extensive collaboration, frequent contributions to leading journals, and advanced modeling of scattering, irradiation, and thermal behavior, Prof. Dr. Meng continues to shape the scientific foundation essential for lunar exploration, mission planning, and future planetary research.

Profiles: Scopus | Orcid

Featured Publications

  • Meng, Z., Mei, L., Liu, C., Xu, Y., Zhang, X., Bugiolacchi, R., Zong, Q., Cheng, W., Ping, J., & Zhang, Y. (2025). Definition of effective brightness temperature difference and its geological significance. IEEE Transactions on Geoscience and Remote Sensing.

  • Li, Z., Zhao, Y., Tang, X., & Meng, Z. (2025). Heat production rate of lunar major basins: New insights into lunar thermal evolution. IEEE Transactions on Geoscience and Remote Sensing.

  • Li, Y., Yuan, Z., Mazhar, S., Meng, Z., Zhang, Y., Ping, J., & Nunziata, F. (2025). MFBTFF‐Net: A multi-frequency brightness temperature feature fusion network for lunar surface oxides abundance estimation using Chang’e-2 data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

  • Chang, W., Meng, Z., Xu, Y., Zhang, X., Bugiolacchi, R., Xiao, L., Ping, J., Zhang, H., & Zhang, Y. (2025). Microwave thermophysical properties of surface deposits in the CE-6 landing region and implications for returned samples. Earth and Planetary Science Letters.

  • Lei, L., Zhang, X., Luo, P., Zhang, G., You, J., Liu, J., Xu, Y., Fu, S., Li, X., & Meng, Z. (2025). Planetary formation constrained by collisions between millimeter-sized lunar particles and the lunar surface from the Chang’E-4 mission. The Astrophysical Journal.