Rituraj Shukla | Swat Modeling | Research Excellence Award

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Dr. Rituraj Shukla | Swat Modeling | Research Excellence Award

Dr. Rituraj Shukla | Swat Modeling | Research Associate at university of Guelph | Canada

Dr. Rituraj Shukla is a highly accomplished environmental and water resources scientist with extensive international research experience in hydrology, climate change, and geospatial modelling, currently working as a Research Associate / Scientist in the School of Engineering at the University of Guelph, Canada, with a verified academic association with IIT Roorkee. Dr. Rituraj Shukla holds a Ph.D. in the field of Water Resources Engineering, supported by strong academic training in civil and environmental engineering–related disciplines, which has enabled him to build a solid theoretical and applied foundation in hydrological sciences, climate variability, and land–atmosphere interactions.

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Featured Publications:


Comparison of Support Vector Machine and Maximum Likelihood Classification Technique Using Satellite Imagery

– International Journal of Remote Sensing and GIS, 2012 · 113 Citations

Impact of Land Use Change on Groundwater – A Review

– International Journal of Advances in Water Resources and Protection, 2014 · 109 Citations

Suraj Yadav | Agriculture | Research Excellence Award

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Dr. Suraj Yadav | Agriculture | Research Excellence Award

Dr. Suraj Yadav | Agriculture | Research Associate at Mississippi State University | United States

Dr. Suraj Yadav is a remote sensing scientist recognized for his impactful contributions to microwave, radar, and satellite-based Earth observation, with a strong focus on vegetation biophysical parameter retrieval, soil moisture estimation, and agro-environmental applications. Dr. Suraj Yadav is currently a Postdoctoral Research Associate at Mississippi State University and holds a verified academic profile with significant citation metrics, including over 210 citations, an h-index of 7, and an i10-index of 6, reflecting the quality and consistency of his research output. Dr. Suraj Yadav received his formal education and advanced research training in geosciences, remote sensing, and related engineering disciplines, where he developed a solid foundation in electromagnetic theory, microwave scattering, and data-driven modeling approaches.

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Featured Publications:

 

Hyunchol Shin | Semiconductor | Research Excellence Award

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Prof. Hyunchol Shin | Semiconductor | Research Excellence Award

Prof. Hyunchol Shin | Semiconductor | Professor at Kwangwoon University | South Korea

Prof. Hyunchol Shin is a distinguished academic and researcher in radio-frequency integrated circuits (RFIC), millimeter-wave systems, CMOS/SiGe BiCMOS circuit design, and advanced antenna and wireless communication technologies, currently serving at Kwangwoon University, Seoul, Korea, where Prof. Hyunchol Shin has built an internationally recognized profile through sustained contributions to education, research, and innovation. Prof. Hyunchol Shin received rigorous formal education in electrical and electronic engineering, culminating in advanced doctoral training that laid a strong theoretical and practical foundation in solid-state circuits, microwave engineering, and semiconductor device technologies, which has consistently guided Prof. Hyunchol Shin’s research-driven academic career.

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Featured Publications


RF/Wireless Interconnect for Inter- and Intra-Chip Communications

– Proceedings of the IEEE, 2001 · 411 Citations

A Wide-Band CMOS LC VCO With Linearized Coarse Tuning Characteristics

– IEEE Transactions on Circuits and Systems II, 2008 · 153 Citations

A 1.9–3.8 GHz ΣΔ Fractional-N PLL Frequency Synthesizer With Fast Auto-Calibration

– IEEE Journal of Solid-State Circuits, 2012 · 131 Citations

GSM RF Transmitter Design

– Kwangwoon University, 2004 · 92 Citations

 

Sufian Muhammad | Composite materials | Research Excellence Award

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Dr. Sufian Muhammad | Composite materials | Research Excellence Award

Dr. Sufian Muhammad | Composite materials | Doctor at Southeast University | China

Dr. Sufian Muhammad is a dedicated researcher and academic in Civil Engineering, specializing in concrete technology, cementitious materials, composite behavior, and machine-learning-assisted material design, known for integrating sustainability principles into advanced construction materials. Dr. Sufian Muhammad holds a strong academic foundation with graduate and postgraduate degrees in Civil Engineering, complemented by specialized research training in concrete materials, structural performance, and smart computational modeling. His professional experience spans roles as a research scholar, laboratory engineer, academic lecturer, and collaborative project investigator at Southeast University, Nanjing, China, where he contributes to funded projects, supervises students, and publishes high-impact research in multidisciplinary civil engineering domains. Dr. Sufian Muhammad’s research interests include high-performance concrete, steel-fiber and hybrid-reinforced composites, waste-derived construction materials, machine learning applications in concrete behavior prediction, sustainable construction technologies, and environmental material optimization. His research skills encompass experimental design, microstructural characterization, concrete mix development, structural performance evaluation, machine learning modeling (ANN, ANFIS, GEP), data analytics, scientific writing, and advanced laboratory testing for mechanical and durability properties. Dr. Sufian Muhammad has made impactful research contributions backed by 1175 citations, an h-index of 14 and an i10-index of 18, highlighting strong international research recognition. He has collaborated with global experts, published in top-tier journals such as Materials, Case Studies in Construction Materials, Frontiers in Materials, and Journal of Materials Research and Technology, and contributed to emerging research on low-carbon concrete, sustainable waste utilization, and AI-powered material optimization. His awards and honors include recognitions for outstanding publication performance, early-career research excellence, international collaborative contributions, and academic achievements in sustainable civil engineering. Throughout his career, Dr. Sufian Muhammad has demonstrated a steadfast commitment to advancing environmentally responsible construction materials while integrating artificial intelligence for predictive modeling and engineering innovation. In conclusion, Dr. Sufian Muhammad embodies the profile of a forward-looking civil engineering researcher whose scientific contributions, interdisciplinary expertise, and dedication to sustainable development continue to enhance modern concrete technology and inspire next-generation materials research.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Ahmad, W., Farooq, S. H., Usman, M., Khan, M., Ahmad, A., Aslam, F., Yousef, R. A., … Effect of coconut fiber length and content on properties of high strength concrete. Materials, 13(5), 1075. (2020). Citations: 265.

  2. Althoey, F., Ansari, W. S., Sufian, M., & Deifalla, A. F. Advancements in low-carbon concrete as a construction material for the sustainable built environment. Developments in the Built Environment, 16, 100284. (2023). Citations: 203.

  3. Qin, D., Gao, P. K., Aslam, F., Sufian, M., & Alabduljabbar, H. A comprehensive review on fire damage assessment of reinforced concrete structures. Case Studies in Construction Materials, 16, e00843. (2022). Citations: 124.

  4. Sufian, M., Ullah, S., Ostrowski, K. A., Ahmad, A., Zia, A., Śliwa-Wieczorek, K., … An experimental and empirical study on the use of waste marble powder in construction material. Materials, 14(14), 3829. (2021). Citations: 104.

  5. Li, Y., Zhang, Q., Kamiński, P., Deifalla, A. F., Sufian, M., Dyczko, A., Kahla, N. B., … Compressive strength of steel fiber-reinforced concrete employing supervised machine learning techniques. Materials, 15(12), 4209. (2022). Citations: 82.

 

 

Nikolaos Grigoriadis | Neuroimmunology | Medical Researcher Excellence Award

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Prof. Nikolaos Grigoriadis | Neuroimmunology | Medical Researcher Excellence Award

Prof. Nikolaos Grigoriadis | Neuroimmunology | Professor of Neurology at Aristotle University of Thessaloniki | Greece

Prof. Nikolaos Grigoriadis is a distinguished Greek neurologist and Professor of Neurology at the Aristotle University of Thessaloniki, currently serving as Head of the Second Department of Neurology at AHEPA University Hospital, as well as Chair of the Multiple Sclerosis (MS) Centre and the Laboratory of Experimental Neurology and Neuroimmunology, where he leads clinical and translational research in neuroimmunology and demyelinating diseases. Prof. Grigoriadis completed his medical degree and Ph.D. in Neurology at the Aristotle University of Thessaloniki, undertaking advanced specialization in clinical and experimental neuroimmunology and Central Nervous System immunopathology at leading international centers including Hadassah University Hospital in Jerusalem and the Brain Research Institute in Vienna. His professional experience spans decades of academic teaching, neurology clinical leadership, and direction of multicenter research initiatives, and he is a longstanding member and leader within numerous international scientific committees including the European School of Neuroimmunology and the Hellenic Academy of Neuroimmunology, as well as President of the Hellenic Neurological Society. Prof. Grigoriadis’s research interests focus on neuroimmunology, multiple sclerosis pathophysiology and treatment, experimental models of autoimmune diseases such as experimental autoimmune encephalomyelitis (EAE), neurodegeneration, immunomodulation and cellular therapies for central nervous system disorders, reflecting a commitment to bridging experimental discovery with improved patient outcomes. His research skills include clinical trial coordination, immunological assay development, neuroimaging, biomarker analysis, translational experimental models, and comprehensive clinical evaluation of neurological disorders. Over his career, Prof. Grigoriadis has published hundreds of peer-reviewed scientific articles, contributing significant insights into CNS autoimmune mechanisms and therapeutic strategies while garnering wide recognition; among his honors is the prestigious Elizabeth F. Fotinelli – Ioannou D. Critikos Prize of the First Class of Sciences awarded by the Academy of Athens in 2023 for his contributions to MS research and care, in addition to multiple awards from Greek and international scientific institutions for his work in neurology and neuroimmunology. Prof. Grigoriadis’s scholarly impact is further evidenced by extensive citation indices and leadership roles in global research networks, underscoring his influence in advancing understanding and treatment of neuroimmunological diseases. In conclusion, Prof. Nikolaos Grigoriadis remains a highly respected figure in neurology whose career exemplifies scientific rigor, mentorship, and sustained contributions to research and patient care in the field of multiple sclerosis and neuroimmunology.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. De Sa, J. C. C., Airas, L., Bartholome, E., Grigoriadis, N., & Mattle, H. (2014). Symptomatic therapy in multiple sclerosis: a review for a multimodal approach in clinical practice. Journal of Neurology, Neurosurgery & Psychiatry, 85(12), 1386–1395. Citations: ~446 Google Scholar

  2. Kassis, I., Grigoriadis, N., Gowda-Kurkalli, B., Mizrachi-Kol, R., Ben-Hur, T., et al. (2008). Neuroprotection and immunomodulation with mesenchymal stem cells in chronic experimental autoimmune encephalomyelitis. Archives of Neurology, 65(6), 753–761. Citations: ~439 Google Scholar

  3. De Stefano, N., Airas, L., Grigoriadis, N., Mattle, H. P., & O’Riordan, J. (2014). Clinical relevance of brain volume measures in multiple sclerosis. CNS Drugs, 28(2), 147–156. Citations: ~393 Google Scholar

  4. Kappos, L., Bates, D., Edan, G., Eraksoy, M., Garcia-Merino, A., Grigoriadis, N., et al. (2011). Natalizumab treatment for multiple sclerosis: updated recommendations for patient selection and monitoring. The Lancet Neurology, 10(8), 745–758. Citations: ~391 Google Scholar

  5. Grigoriadis, N., & Van Pesch, V. (2015). A basic overview of multiple sclerosis immunopathology. European Journal of Neurology, 22(3), 3–13. Citations: ~269 Google Scholar

 

Binghua Liu | Environmental Science | Research Excellence Award

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Dr. Binghua Liu | Environmental Science | Research Excellence Award

Dr. Binghua Liu | Environmental Science | Key Laboratory of Mariculture Ministry of Education | China

Environmental Science Dr. Binghua Liu is an accomplished researcher whose scientific journey reflects deep commitment to advancing sustainable aquatic systems and marine biological sciences. Dr. Binghua Liu earned his academic foundation through rigorous training in marine biology and aquaculture-related disciplines, culminating in advanced degrees that strengthened his expertise in cellular mechanisms, aquatic organism development, and environmental adaptation. Over the years, Dr. Binghua Liu has gained extensive professional experience working at the Key Laboratory of Mariculture, Ministry of Education, Qingdao, China, where he has contributed to high-impact research in fish physiology, molecular regulation, and environmentally responsive biological pathways. His research interests span environmental science, aquatic genomics, non-coding RNA mechanisms, physiological stress responses, molecular regulation of muscle development, and the environmental factors influencing aquaculture species. Demonstrating exceptional scientific skills, Dr. Binghua Liu specializes in molecular biology techniques, transcriptome analysis, environmental impact assessment, marine organism developmental studies, and functional gene expression profiling, along with advanced laboratory methodologies central to modern environmental and biological sciences. His research skills also include quantitative data interpretation, biomolecular pathway mapping, experimental aquaculture design, gene-environment interaction analysis, and integrative evaluation of environmental stress effects on marine species. Throughout his academic and professional career, Dr. Binghua Liu has earned recognition through authoring multiple peer-reviewed publications, contributing to collaborative scientific projects, and receiving honors associated with impactful research outcomes in environmental science, marine biology, and aquaculture systems. His work supports global scientific efforts to improve sustainable fishery practices, understand organismal responses to environmental change, and apply molecular tools to enhance ecological resilience. In conclusion, Dr. Binghua Liu’s professional trajectory demonstrates a strong alignment with the broader goals of Environmental Science, offering valuable contributions to the scientific community through rigorous research, scholarly publications, interdisciplinary collaboration, and continuous advancement of knowledge related to marine organism development and environmental interactions. His ongoing dedication positions him as a significant contributor to the future of marine environmental sustainability, aquaculture innovation, and applied biological sciences.

Academic Profile: Scopus

Featured Publications:

  1. Liu, B. (2025). Circtefb regulates myocytes development by sponging Pol-miR-138 in Japanese flounder (Paralichthys olivaceus). Journal of Ocean University of China.

 

 

Alima Amangeldi | Climate Change | Research Excellence Award

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Ms. Alima Amangeldi | Climate Change | Research Excellence Award

Ms. Alima Amangeldi | Climate Change | Engineer at Institute of Ionosphere | Kazakhstan

Climate Change research forms the foundation of the scholarly and professional journey of Ms. Alima Amangeldi, an emerging Kazakhstani researcher whose contributions reflect a strong commitment to environmental resilience, cryosphere monitoring, and long-term hydro-climatic analysis. Ms. Alima Amangeldi is recognized for her intellectual dedication to understanding glacial dynamics and climate-driven transformations across mountainous regions, with a special focus on the Ile-Alatau Mountains within the Northern Tien Shan. Her academic background is rooted in rigorous scientific training in environmental science, Earth observation, and atmospheric studies, equipping her with a deep understanding of hydrology, remote sensing technologies, and climate processes that shape contemporary environmental challenges. Through her education, Ms. Alima Amangeldi developed expertise in satellite imagery interpretation, GIS-based glacier mapping, and the multi-temporal analysis of glacial and moraine lake changes that are vital for predicting natural hazards and informing adaptation strategies. Professionally, she serves at the Institute of Ionosphere in Almaty, Kazakhstan (2024–present), where she contributes to advanced research on atmospheric interactions, hydro-climatic variability, and geospatial environmental assessments. Her role involves conducting multi-temporal remote sensing studies, applying high-resolution climatic datasets, and collaborating with multidisciplinary experts to deepen insights into mountain cryosphere evolution and its broader regional implications. The professional experience of Ms. Alima Amangeldi is marked by her capacity to integrate field observations, satellite-based analytics, and climate modeling, which positions her as a promising researcher in climate science and natural resource management. Her research interests span climate change impacts on glacier recession, moraine lake expansion, hydro-climatic risk assessments, cryosphere monitoring, atmospheric variation analysis, and remote sensing applications in mountainous environments. In her work, Ms. Alima Amangeldi frequently employs advanced research skills such as geospatial analytics, LiDAR interpretation, multi-decadal climate data synthesis, hydrological modeling, and environmental trend analysis. She is proficient in utilizing tools like ArcGIS, QGIS, Google Earth Engine, ERDAS Imagine, and statistical packages used for climatic trend evaluation. Her analytical skills are further supported by her ability to interpret long-term climate indicators and correlate them with environmental shifts across sensitive alpine ecosystems. Although early in her academic trajectory, Ms. Alima Amangeldi has begun building an impactful scholarly presence, evidenced by her authorship of peer-reviewed scientific work focusing on long-term glacier and lake evolution from 1955–2024, informing early-warning systems, hazard prevention measures, and sustainable water resource planning. Her dedication to scientific rigor and environmental protection has earned her recognition as a promising contributor to Kazakhstan’s climate research community, and she is increasingly acknowledged within international research circles addressing cryosphere change and climate-induced mountain hazards. Awards and honors attributed to her include early-career recognition at institutional and departmental levels for excellence in scientific research and contributions to climate-related geospatial studies. Throughout her career progression, Ms. Alima Amangeldi continues to commit herself to advancing the scientific understanding of climate change impacts, strengthening the data foundations needed for sustainable policymaking, and contributing meaningful insights to global environmental research dialogues. In conclusion, Ms. Alima Amangeldi exemplifies the next generation of climate and environmental scientists whose research promises to support long-term climatic resilience, inform public awareness, and guide actionable strategies for adapting mountain ecosystems to the realities of a rapidly changing climate.

Academic Profile: ORCID

Featured Publications:

  1. Amangeldi, A. A., Iskaliyeva, G., Merekeyev, A., Sydyk, N., Abishev, B., & Baygurin, Z. (2025). Hydro-Climatic and Multi-Temporal Remote Analysis of Glacier and Moraine Lake Changes in the Ile-Alatau Mountains (1955–2024), Northern Tien Shan. Atmosphere.

 

 

Taimoor Ali Khan | Transportation Engineering | Research Excellence Award

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Mr. Taimoor Ali Khan | Transportation Engineering | Research Excellence Award

Mr. Taimoor Ali Khan | Transportation Engineering | Kunming University of Science and Technology | China

Transportation Engineering expert Mr. Taimoor Ali Khan is an emerging civil engineering professional whose academic training, technical expertise, and research contributions span transportation engineering, structural mechanics, infrastructure resilience, Non-Destructive Evaluation (NDE), and intelligent systems. With a Master’s degree in Civil Engineering from Beijing University of Technology and a Bachelor of Engineering in Civil Engineering from Mehran University of Engineering and Technology Mr. Taimoor Ali Khan has established a strong foundation in advanced engineering principles, reliability assessment, and infrastructure performance analysis. Throughout his master’s research, he conducted an in-depth investigation of the size effect on Fiber Reinforced Polymer (FRP)-confined concrete columns using analytical modeling and Finite Element Method (FEM) simulations in Abaqus, which later shaped his broader interest in enhancing infrastructure safety and resilience. Professionally, Mr. Taimoor Ali Khan has served in multiple engineering roles, including Material Engineer at Ghulam Rasool & Co. Pvt. Ltd. Site Engineer at Dico-Tech Qatar and Lecturer at Indus International Institute Pakistan, where he contributed to construction quality control, laboratory material testing, planning operations, and engineering education. These roles allowed him to bridge theoretical knowledge with real-world construction and planning challenges. His research interests now expand across Transportation Engineering, AI-driven mobility analytics, rural traffic management, network traffic prediction, Machine Learning-based safety systems, and NDE methods such as non-contact ultrasonics for structural damage detection. Mr. Taimoor Ali Khan possesses strong research skills in FEM modeling, structural reliability analysis, data-driven modeling, AI algorithm integration, transportation data analysis, and multi-source data fusion. His growing publication record reflects his commitment to developing intelligent, safe, and efficient transportation systems. His professional memberships include registration with the Pakistan Engineering Council and he is also a recipient of the prestigious Chinese Government Scholarship (China Scholarship Council), which supported his graduate studies in Beijing. His honors also include recognition for research contributions in transportation and infrastructure engineering, along with academic distinctions throughout his academic progression. Throughout his career, Mr. Taimoor Ali Khan has demonstrated a forward-thinking approach by integrating Transportation Engineering with Artificial Intelligence, contributing to modern mobility solutions. In conclusion, Mr. Taimoor Ali Khan continues to advance scholarly work and practical engineering innovations aimed at improving infrastructure quality, transportation safety, and data-driven decision-making. His extensive academic background, technical skills, and diverse professional experience position him as a promising researcher in Transportation Engineering, committed to developing sustainable, technologically enhanced engineering solutions for global challenges.

Academic Profile: ORCID

Featured Publications:

  1. Khan, T. A. (2025). Graph-based deep learning and multi-source data to provide safety-actionable insights for rural traffic management.

  2. Khan, T. A. (2025). Artificial intelligence as a tutor: Enhancing self-regulated learning in transportation engineering through AI-driven feedback.

  3. Khan, T. A. (2024). Network traffic prediction: Using AI to predict and manage traffic in high-demand IT networks.

  4. Khan, T. A. (2021). Analytical and numerical analysis of size impact on CFRP restrained cylindrical concrete column.

 

Bilal Jan Haji Muhammad | Geographical | Best Researcher Award

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Dr. Bilal Jan Haji Muhammad | Geographical | Best Researcher Award

Dr. Bilal Jan Haji Muhammad | Geographical | Ministry of Rural Rehabilitation and Development | Afghanistan

Geographical research forms the core of Dr. Bilal Jan Haji Muhammad’s academic identity, and throughout his career, he has established himself as a dynamic researcher devoted to advancing knowledge in Remote Sensing (RS), Geographic Information Systems (GIS), applied geology, land–surface interactions, and environmental change modelling. Dr. Bilal Jan Haji Muhammad completed his higher education at Northeast Normal University, China, where he strengthened his expertise in spatial analysis, geospatial modelling, and petrography, skills that later defined his scientific trajectory. His professional experience includes extensive collaboration with scholars across Afghanistan, Pakistan, and China, contributing significantly to multidisciplinary projects focused on land use/land cover (LULC) dynamics, chromite body characterization, morpho-tectonic interpretation, forest canopy density assessment, and integrated geological–geographical analyses. Through his scholarly work, Dr. Bilal Jan Haji Muhammad has contributed to understanding complex environmental systems using RS/GIS, particularly in regions such as Kunar Province, Logar Ophiolitic Complex, Malakand Division, and the Southern Region of Eritrea. His major research interests span spatial modelling, geochemical characterization, land degradation studies, heat-island assessment, and the interaction between landscape processes and climatic indicators. His specialized research skills include advanced satellite image processing, geospatial data analytics, spectral index computation, petrographic analysis, structural geology interpretation, and environmental change prediction using tools such as land change modeller and GIS-based simulation workflows. These competencies have enabled him to produce impactful cross-disciplinary outputs published in highly regarded journals including the Scottish Geographical Journal, Kuwait Journal of Science, GeoJournal, and Singapore Journal of Tropical Geography. Among his awards and honors, Dr. Bilal Jan Haji Muhammad’s recognition includes international research collaborations, verified academic contributions within his institution, and impactful citations reflecting his growing scholarly presence. His Google Scholar metrics—citations, h-index, and collaborative research networks—demonstrate his commitment to producing quality research in geographical sciences, applied geology, and remote sensing. With continuous contributions to the global academic community, Dr. Bilal Jan Haji Muhammad remains committed to advancing sustainable environmental management, improving geospatial modelling techniques, and strengthening the scientific understanding of geographically sensitive regions. In conclusion, Dr. Bilal Jan Haji Muhammad exemplifies a forward-looking researcher whose contributions in RS, GIS, geology, and Geographical modelling continue to expand the boundaries of environmental and geospatial science, positioning him as a promising scholar dedicated to impactful research and academic excellence.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Ahmad, I., & Islam, I. (2025). Modelling and prediction of land use land cover change dynamics based on the land change modeller in Kunar Province, Eastern Afghanistan. Scottish Geographical Journal, 1–24. Citations: 2

  2. Ahmad, I., Ping, W., Razzaq, A., Muhammad, B. J. H., & Ali, W. (2024). Assessing urban thermal field variance and surface urban heat island effects: An ecological study in Malakand Division, Pakistan. Ecological Study. Citations: 2

  3. Muhammad, B. J. H., Rahmani, N. R., Mohabbat, M. J., Islam, I., Ahmad, I., & Ping, W. (2025). Integration of remote sensing and geochemical analysis of chromite bodies in Logar Ophiolitic Complex, Southeast Afghanistan. Kuwait Journal of Science, 100427. Citations: 1

  4. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Patmal, M. H., & Ahmad, I. (2024). Morpho-tectonic and satellite image interpretation for identifying Gardez fault in Afghanistan. Journal of Geoscience, Engineering, Environment, and Technology, 9(2), 221–226. Citations: 1

  5. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Islam, I., & Khattak, S. A. (2025). Examining the relationship among land surface temperature (LST), land use/land cover (LULC) and spectral indices in Kunar Province, Afghanistan. GeoJournal, 90(5), 237.

 

Ipek Atik | Health | Research Excellence Award

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Assoc. Prof. Dr. Ipek Atik | Health | Research Excellence Award

Assoc. Prof. Dr. Ipek Atik | Health | Gaziantep Islam Science and Technology University | Turkey

Health plays a central role in the scientific contributions of Assoc. Prof. Dr. Ipek Atik, whose career spans advanced research in deep learning, machine learning, renewable energy forecasting, medical image analysis, and computational modeling. Assoc. Prof. Dr. Ipek Atik has built a strong academic foundation through her formal education, progressing from engineering studies into specialized research areas involving artificial intelligence applications to health systems, environmental sustainability, and complex data-driven prediction models. Her professional experience includes serving as an academic and researcher at Gaziantep Islam Science and Technology University, where she has contributed extensively to AI-driven classification systems, forecasting methodologies, radiation shielding research, and medical imaging solutions, particularly in pneumonia detection and COVID-19 case prediction—fields where health, technology, and engineering effectively converge. Throughout her career, Assoc. Prof. Dr. Ipek Atik has cultivated broad research interests spanning convolutional neural networks, short-term energy forecasting, satellite image classification, landform analysis, LED technologies, renewable energy systems, and advanced material characterization, demonstrating an interdisciplinary approach that strengthens the health and engineering research ecosystem. Her demonstrated research skills include algorithm development, regression learning, deep learning model optimization, transfer learning, optical systems analysis, neural network-based forecasting, materials computation, and the integration of AI with medical and environmental datasets. These skills are strongly supported by her impactful publication record, which has earned awards and honors through high citation counts, international collaborations, and recognition within journals focused on engineering, energy, radiation sciences, and computational technologies. With over 220 citations, an h-index of 8, and an i10-index of 6, Assoc. Prof. Dr. Ipek Atik has established a meaningful global research presence. Her work on CNN-based classification systems, drone detection enhancement, short-term energy load forecasting, and deep learning–supported medical analysis highlights the significant influence of her studies on public health, technological advancement, and industrial applications. The sustained academic output of Assoc. Prof. Dr. Ipek Atik, combined with her dedication to interdisciplinary innovation, positions her as a leading contributor to modern AI-enabled solutions. In conclusion, Assoc. Prof. Dr. Ipek Atik represents a dynamic and forward-focused researcher whose work consistently bridges health, engineering, and artificial intelligence, contributing valuable insights and technologies that support societal progress, scientific advancement, and long-term sustainable development.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

Atik, I. (2022). Classification of electronic components based on convolutional neural network architecture. 39 citations.
Atik, I. (2022). A new CNN-based method for short-term forecasting of electrical energy consumption in the COVID-19 period: The case of Turkey. 32 citations.
Dinçer, F., Atik, İ., Yılmaz, Ş., & Çıngı, A. (2017). Hidrolik enerjisinden yararlanmada ülkemiz ve gelişmiş ülkelerin mevcut durumlarının analizi. 26 citations.
Atik, I. (2023). CB-YOLOv5: Enhancing drone detection with BottleneckCSP and cross convolution for improved performance. 16 citations.
Tuncel, N., Akkurt, I., Atik, I., Malidarre, R. B., & Sayyed, M. I. (2024). Neutron-gamma shielding properties of chalcogenide glasses. 11 citations.
Atik, I. (2022). Performance comparison of regression learning methods: COVID-19 case prediction for Turkey. 10 citations.