Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

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Prof. Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

King Faisal University | Saudi Arabia

Dr. Mona Abdelbaset Sadek Ali is an Associate Professor of Computer Science specializing in artificial intelligence, machine learning, and image processing. She earned her PhD in Computer Science (Wireless Computer Communications) from Cardiff University, UK, after completing an MSc in Information Technology (Image Processing) and a BSc in Information Technology with honors from Cairo University. With extensive academic experience spanning the UK, Saudi Arabia, and Egypt, her research integrates deep learning, optimization techniques, computer vision, IoT, mobile security, and intelligent healthcare systems. Dr. Ali has authored over 30 peer-reviewed research articles published in high-impact Web of Science-indexed journals and conferences, achieving an h-index of approximately 17, with more than 871 citations and 29 research documents. Her work frequently appears in Q1 and Q2 journals such as Mathematics, Electronics, Sustainability, PLOS ONE, and Applied Sciences. She has led and co-led numerous funded research projects supported by national and institutional bodies and has supervised multiple postgraduate MSc and PhD researchers. Her academic excellence has been recognized through competitive research funding and research poster awards. Overall, Dr. Ali’s career reflects sustained contributions to applied artificial intelligence and data-driven solutions with strong interdisciplinary and societal impact.

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Featured Publications


Tomato leaves diseases detection approach based on support vector machines

11th International Computer Engineering Conference (ICENCO), 246–250, 2015 · Citations: 222


Identifying two of tomatoes leaf viruses using support vector machine

Information Systems Design and Intelligent Applications, 2015 · Citations: 145


Detection of breast abnormalities of thermograms based on a new segmentation method

Federated Conference on Computer Science and Information Systems, 2015 · Citations: 78


Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm

IEEE Engineering in Medicine and Biology Conference, 2015 · Citations: 76


A hybrid segmentation approach based on neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma

11th International Computer Engineering Conference (ICENCO), 2015 · Citations: 70

Rima Isaifan | Sustainable Development | Research Excellence Award

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Assoc. Prof. Dr. Rima Isaifan | Sustainable Development | Research Excellence Award

Georgetown University and Ministy of Higher Education Qatar | Qatar

Dr. Rima J. Isaifan is a distinguished chemical and environmental engineer, researcher, and higher-education quality assurance expert with a Ph.D. with highest honor in Chemical Engineering. She holds an h-index of26, with 65 peer-reviewed research documents and over 1,844 citations, reflecting sustained global research impact. Her academic experience spans associate professorships, adjunct appointments, and senior academic accreditation leadership roles across internationally recognized institutions, alongside extensive service as an evaluator, rapporteur, and expert reviewer for the European Commission, United Nations bodies, and national research agencies. Her research interests integrate air quality and climate change, decarbonization technologies, renewable and sustainable energy systems, nanotechnology and advanced materials, carbon management, urban sustainability, and AI applications in higher education quality assurance and policy. She has contributed to high-impact Q1 journals, interdisciplinary policy-oriented research, and applied sustainability solutions relevant to arid and rapidly urbanizing regions. Her professional excellence has been recognized through multiple international awards, including innovation and research distinctions in higher education quality assurance, sustainability, and environmental research. Through her combined roles in academia, policy, and consultancy, Dr. Isaifan continues to advance evidence-based decision-making, sustainable development practices, and globally relevant frameworks linking science, technology, and education quality, positioning her as a leading voice at the intersection of environmental engineering, climate-health research, and academic governance.

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Kevin Clark | Neuroscience | Research Excellence Award

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Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

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Mr. Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

Yachay Tech University | Ecuador

Jeremy Fabrizio Carlosama Quinatoa is an emerging researcher in biomedical engineering whose work focuses on applying machine learning and intelligent sensing technologies to healthcare and rehabilitation. He holds a degree in Biomedical Engineering from Yachay Tech University, where his academic training emphasized biomechanics, human motion analysis, and data-driven medical systems. His professional experience includes teaching and research activities in biomechanics and biomedical signal processing, as well as participation in interdisciplinary projects that integrate inertial sensors, motion capture systems, neural networks, and clinical data. His research interests span machine learning for healthcare, rehabilitation engineering, inertial sensor systems, neural-network-based medical diagnosis, and assistive technologies. He has authored peer-reviewed research outputs including a journal article in Sensors (MDPI) and international conference book chapters addressing low back pain assessment, sign-language recognition, and heart failure diagnosis using artificial intelligence. As of 2025, his scholarly record includes 4 publications, an h-index of 2, and over 30 citations, reflecting growing academic impact at an early career stage. His work demonstrates a strong commitment to translational research that bridges engineering innovation and clinical application, positioning him as a promising young scientist contributing to the advancement of intelligent healthcare technologies.

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Featured Publications

Ecuadorian Sign Language Detection in Real Time

J. Carlosama, S. Criollo, C. Játiva, V. Mina, S. Velastegui, J. de-la-A, et al.
International Conference on Computer Science, Electronics and Industrial Engineering, 2023

InertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients

J. Carlosama, L. Zhinin-Vera, C. Guevara, C. Cadena-Morejón, et al.
Sensors, Vol. 25(21), Article 6665, 2025

Diagnosis of Heart Failure: Integrating Echocardiographic and Clinical Data Through Neural Networks

V. Arrobo-Sarango, J. Carlosama, D. Almeida-Galárraga, A. Tirado-Espín, et al.
International Conference on Smart Technologies, Systems and Applications, 2024

Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

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Dr. Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

Federal University of Technology, Akure | Nigeria

Adetayo Folorunso is an established scholar in applied geophysics and environmental geosciences with a strong record of scientific contributions to groundwater, marine, and exploration geophysics.  Academic training and professional experience span geophysics, earth sciences, and applied geoscience, with extensive involvement in teaching, postgraduate supervision, and collaborative research across Nigerian and international institutions. Research work integrates electrical resistivity tomography (ERT), marine geophysics, hydrogeophysics, seismic interpretation, and environmental geophysics, addressing critical challenges such as saline water intrusion, groundwater vulnerability, subsurface contamination, and reservoir characterization. Contributions include high-impact journal articles, interdisciplinary studies combining geophysical and geochemical methods, and methodological advances in finite-element and CSEM modeling. Recognition includes scholarly visibility, sustained citation performance, and leadership in collaborative geoscience research. Overall, the body of work demonstrates a strong commitment to advancing applied geosciences through data-driven analysis, field-based investigations, and solutions relevant to environmental sustainability, resource exploration, and geotechnical risk assessment.

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Featured Publications


Integrated Geophysical and Geochemical Methods for Environmental Assessment of Municipal Dumpsite System

International Journal of Geosciences, 4(5), 850–862, 2013 · Citations: 59


Engineering Site Characterisation Using 2-D and 3-D Electrical Resistivity Tomography

Earth Science Research, 2(1), 133–142, 2013 · Citations: 41

Liu Ying | Mechanical Engineering | Research Excellence Award

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Dr. Liu Ying | Mechanical Engineering | Research Excellence Award

East China Jiaotong University | China

Ying Liu is a dedicated researcher and Lecturer specializing in vehicle engineering with a strong academic trajectory and growing research impact, reflected in an h-index of 2, 4 published documents, and 14 citations across indexed platforms. She earned a combined Master’s and PhD degree in Mechanical Engineering from Shanghai University, followed by a Bachelor’s degree in Mechanical Design, Manufacturing and Automation from Changchun Institute of Technology. Her professional career includes serving as a Lecturer at East China Jiaotong University, where she contributes to teaching, mentoring, and interdisciplinary research. Her work focuses on target optimization, image detection, reinforcement learning, computer vision, intelligent control, and smart vehicle technologies. She has completed five research projects, contributed to two national-level and multiple provincial and horizontal projects, and actively engages in consultancy with ten industry-linked initiatives. She has authored seven SCI-indexed papers, produced twenty-five patents, and participated in major scientific collaborations including a project funded with 5 million yuan. As a recipient of Jiangxi’s Early-Career Young Talents Program, she continues to advance innovation in intelligent vehicle systems. She remains committed to impactful research, advancing engineering applications, and contributing to societal and technological development.

Profile : Scopus

Featured Publications

Liu, Y., & [Co-author(s) if any]. (2025). Continuous path tracking of robots based on positioning error compensation with iterative learning control. IEEE Transactions on Instrumentation and Measurement.

Rongliang Liu | Social Sciences | Young Innovator Award

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Mr. Rongliang Liu | Social Sciences | Young Innovator Award

Shaanxi Normal University | China

Dr. Liu Rongliang is an interdisciplinary researcher whose work bridges physical geography, geomorphology, and art aesthetics, with a strong focus on the emerging theory of “Wind–Sand Geomorphic Landscape and Its Aesthetic Theory.” With an academic foundation rooted in oil painting at Chongqing University, where he completed both his bachelor’s and master’s degrees, he later expanded his scholarly pathway through doctoral training that synergized artistic insight with geographical science. His research explores aeolian landforms, desert landscapes, and human–environment interactions through both scientific analysis and aesthetic interpretation. Dr. Liu has published influential work in internationally indexed journals, including Landscape Research, with growing citation counts-0, an increasing h-index-0, and document-2. He has contributed to book chapters, creative research outputs, and innovative studies merging visual art with Earth surface processes. His experience includes research project participation, academic collaborations, and contributions to aesthetic geography. His research interests span aeolian geomorphology, landscape aesthetics, environmental art theory, and interdisciplinary design. Recognized for advancing cross-domain knowledge, he continues to develop theoretical frameworks and visual methodologies that inspire new understandings of desert systems. His career reflects a commitment to innovation, scholarly excellence, and expanding the dialogue between geography and art.

Profile : Scopus

Featured Publications

Liu, R., Dong, Z., Shi, J., & Wang, J. (2025). Aesthetic characteristics of aeolian landforms. Landscape Research. Advance online publication.

Mozhgan Sepahvandian | Chemistry and Materials Science | Research Excellence Award

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Dr. Mozhgan Sepahvandian | Chemistry and Materials Science | Research Excellence Award

Lorestan University | Iran

Dr. Mozhgan Sepahvandian is an accomplished inorganic chemist whose academic journey reflects a strong commitment to scientific excellence, innovation, and interdisciplinary research. With a PhD in Inorganic Chemistry, she has built expertise in advanced material synthesis, coordination compounds, and catalytic systems while contributing to both theoretical and experimental chemistry. Has published 3 peer-reviewed journal papers indexed in major scientific databases, accumulating citations- 0, documents- 3, and an h-index-0 that reflect her growing impact in the field. With 10 completed or ongoing research projects, her work spans functional materials, green chemistry, and nanostructured inorganic systems. Her research interests include inorganic synthesis, materials chemistry, photocatalysis, and the development of sustainable chemical processes. In addition to academic research, she actively engages in institutional collaborations and contributes to the scientific community through knowledge sharing and collaborative initiatives. She has participated in various academic activities, technical discussions, and research-driven initiatives that strengthen the bridge between chemistry and applied sciences. Dr. Sepahvandian’s dedication to innovation, high-quality research, and continuous professional development underscores her role as an emerging researcher in inorganic chemistry. Looking ahead, she aims to expand her contributions to advanced materials and environmentally friendly chemical applications, supporting scientific progress and societal benefit.

Profiles : Scopus | Orcid

Featured Publications

Sepahvandian, M., & Zabardasti, A. (2025). Computational study of dacarbazine–amino acid interactions. Journal of Biomolecular Structure and Dynamics.

Sepahvandian, M., & Zabardasti, A. (2025). Exploring limonene adsorption on magnesium and selenium doped AlP nanosheets: A DFT study. Computational Condensed Matter.

Sepahvandian, M., Abd Al-Aama, Z. M., Al-Masoudi, H. Q., & Zabardasti, A. (2025). Theoretical investigation of optical properties of adducts of Aun and Cun (n = 1–3) with free base porphyrins. Bulletin of the Chemical Society of Ethiopia.

Ana Maria Abreu Velez | Medicine and Health Sciences | Best Researcher Award

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Dr. Ana Maria Abreu Velez | Medicine and Health Sciences | Best Researcher Award

Georgia Dermatopathology Associates | United States

Dr. Ana María Abreu Vélez, M.D., Ph.D., DSc, is a globally recognized dermatologist, immunohematologist, and biomedical researcher renowned for her leadership in autoimmune orphan diseases and multidisciplinary clinical research. With an impactful scholarly record including 72peer-reviewed publications, an h-index of 14, 659 citations. she has advanced scientific understanding across dermatology, immunology, toxicology, and tropical medicine. Her academic path includes a medical degree, a Doctorate in Science, and multiple postdoctoral fellowships spanning immunohematology, dermatopathology, and translational research. She has served in senior scientific and operational leadership roles, driving innovation, improving surveillance systems, and modernizing data-driven healthcare programs in national and international settings. Her research focuses on autoimmune blistering diseases, environmental toxicants, clinical trials, infectious diseases, and precision diagnostics. Her career includes leading major healthcare programs, enhancing operational efficiency, reducing costs, mentoring multidisciplinary teams, and developing novel scientific frameworks. Widely respected for her analytical rigor and scientific contributions, Dr. Abreu continues to advance global health through research excellence, strategic leadership, and impactful biomedical innovation.

Profiles : Scopus | Orcid

Featured Publications

Abreu Velez, A. M., Ramirez-Posada, M., & Howard, M. S. (2025). Post translational modifications and protein-protein interactome of endemic pemphigus in El Bagre, Colombia: A new variant analysis. Dermatology Practical & Conceptual, 15(3).

Abreu-Velez, A. M., Ramos Muñoz, W., & Howard, M. (2025). Is Tunisian endemic pemphigus foliaceus a real entity or should these cases be reclassified with other autoimmune blistering diseases? Dermatology Practical & Conceptual, 15(2).

Abreu Velez, A. M., Hashimoto, T., Upegui, Y. A., Vélez Arango, J. M., Olarte Aponte, A. M., Vega, J. A., & Howard, M. S. (2025). The pericardium cells junctions are a target for autoantibodies of patients affected by a variant of endemic pemphigus foliaceus in El Bagre and surrounding municipalities in Colombia, South America. Diagnostics, 15(8).

Abreu Velez, A. M., Hashimoto, T., Vélez Arango, J. M., Upegui‐Zapata, Y. A., Upegui‐Quiceño, E., Olarte Aponte, A. M., & Howard, M. S. (2025). New complex cell junctions in and around the intervertebral discs discovered using autoantibodies from patients affected by endemic pemphigus foliaceus in El Bagre, Colombia, South America. International Journal of Dermatology, 64(3).

Abreu Velez, A. M., Ramírez‐Posada, M., & Howard, M. S. (2024). Immunofluorescence findings in a reactivating lichenoid photoallergic chronic dermatitis (actinic reticuloid). Photodermatology, Photoimmunology & Photomedicine, 40(5).

Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

Profile : Google Scholar

Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.