Guo Tian | Machine Learning and Statistics | Best Researcher Award

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Assoc Prof. Dr. Guo Tian | Machine Learning and Statistics | Best Researcher Award

Tsinghua University | China

Assoc Prof. Dr. Guo Tian is an accomplished young chemical engineer whose research lies at the frontier of sustainable catalysis and CO₂/CO conversion. He earned his Bachelor’s degree in Chemical Engineering under Prof. Xuezhi Duan at the East China University of Science and Technology and pursued his doctoral studies in Chemical Engineering at Tsinghua University under the guidance of Prof. Fei Wei. Following his doctoral training, he joined Southwest Jiaotong University as an Associate Professor and Principal Investigator. At only twenty-five years of age, Guo has led pioneering work on high-pressure thermo-catalytic systems, including the design of a reactor capable of stable operation at up to 60 bar integrated with surface-enhanced infrared absorption spectroscopy (SEIRAS) for in-situ monitoring of reaction intermediates. His studies have revealed critical mechanistic pathways in CO/CO₂ conversion using bifunctional catalysts, identifying oxygenate intermediates as key to improving the traditional methanol-to-hydrocarbons (MTH) mechanism. Drawing inspiration from biological systems, he has advanced the concept of bio-inspired multifunctional catalysts and introduced the innovative idea of “catalytic shunt” strategies to enhance selectivity and efficiency. Combining experimental research with density-functional theory (DFT) and micromodel simulations, his work bridges molecular-level understanding with reactor-scale engineering. Dr. Tian has authored numerous influential publications in high-impact journals such as Nature Sustainability, Nature Communications, ACS Catalysis, and the Journal of the American Chemical Society. Notable among these are “Efficient syngas conversion via catalytic shunt” (Nature Sustainability), and “Upgrading CO₂ to sustainable aromatics via perovskite-mediated tandem catalysis” (Nature Communications). According to his Scopus profile, he has authored 14 documents, accumulated around 297 citations, and holds an h-index of 9, reflecting a strong and growing impact in the field. His expertise includes thermochemical measurement and data analysis, catalytic materials design, reactor and reaction-system development, in-situ spectroscopy (SEM, XRD, XPS, XAS), and DFT-based theoretical modeling. Integrating theory, advanced characterization, and engineering innovation, Guo Tian’s vision focuses on transforming CO₂ and CO into high-value sustainable fuels such as aviation fuel components, contributing to global carbon-neutral energy goals. Through his scientific rigor, leadership, and creativity, he has rapidly emerged as a rising star in heterogeneous catalysis and sustainable chemical engineering.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

M. Zhao, Q. Wu, X. Chen, H. Xiong, G. Tian, L. Yan, F. Xiao, & F. Wei. (2025). Entropy-governed zeolite intergrowth. Journal of the American Chemical Society.

Z. Wang, X. Liu, G. Tian, Z. Wang, L. Li, F. Lu, Y. Yu, Z. Li, F. Wei, & C. Zhang. (2025). Research advances in coal-based syngas to aromatics technology. Clean Energy, 9(5), 136–152.

J. He, G. Tian, D. Liao, Z. Li, Y. Cui, F. Wei, C. Zeng, & C. Zhang. (2025). Mechanistic insights into methanol conversion and methanol-mediated tandem catalysis toward hydrocarbons. Journal of Energy Chemistry.

H. Xiong, Y. C. Wang, X. Liang, M. Zhao, G. Tian, G. Wang, L. Gu, & X. Chen. (2025). In situ quantitative imaging of nonuniformly distributed molecules in zeolites. Journal of the American Chemical Society, 147(32), 28965–28972.

Z. Li, J. Chen, G. Xu, Z. Tang, X. Liang, G. Tian, F. Lu, Y. Yu, Y. Wen, & J. Yang. (2025). Constructing three-dimensional covalent organic framework with aea topology and flattened spherical cages. Chemistry of Materials, 37(5), 1942–1948.

Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

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Prof. Dr. Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

Suleyman Demirel University | Turkey

Prof. Dr. Fatih Ucun is a distinguished physicist specializing in atomic and molecular physics, with expertise in electron paramagnetic resonance (EPR), nuclear magnetic resonance (NMR), and infrared (IR) spectroscopy. He completed his B.Sc. and M.Sc. in Physics at Atatürk University and earned his Ph.D. from Ondokuz Mayıs University. He is a full professor in the Department of Physics at Suleyman Demirel University in Isparta, Turkey. Prof. Ucun has made significant contributions to computational chemistry, molecular modeling, and quantum mechanics, bridging theoretical insights with practical applications in material science and nanotechnology through pioneering studies on molecular electronic structures and quantum chemical simulations. He has authored 91 publications, cited 883 times, and holds an h-index of 16, reflecting his substantial impact in the field. In addition to his research, he has published four books and serves on editorial boards of scientific journals, demonstrating his leadership and influence in the academic community. His work has advanced the understanding of atomic-level interactions and energy transfer mechanisms, while mentoring future scientists and enriching scientific progress in physical chemistry and computational modeling.

Profiles: Scopus | Google Scholar 

Featured Publications

Ucun, F., Isik, Y. E., & Tiryaki, O. (2025). An approach to description of isotropic hyperfine interaction constants in the fluorinated nitrobenzene and nitrophenol radical anions: DFT calculations vs. experiment. Russian Journal of Physical Chemistry A, 99, 2498–2505.

Yolburun, H., & Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F., & Alakuş, N. (2022). Enthalpies and activation energies of several gas reactions by intrinsic reaction coordinate (IRC) calculations. El-Cezeri, 9(2), 576–583.

Ucun, F., & Küçük, S. (2022). Triafulvalen, pentafulvalen ve heptafulvalenin katyon ve anyon radikallerinin EPR aşırı ince-yapı yapıları: Bir teorik çalışma. Süleyman Demirel University Faculty of Arts and Science Journal of Science.

BHASKAR A | Survival Analysis and Reliability | Best Researcher Award

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Mr. BHASKAR A | Survival Analysis and Reliability | Best Researcher Award

SRM Institute of Science and Technology (SRMIST) | India

Mr. Bhaskar A is a highly accomplished academic and industry professional with over two decades of experience in mechanical engineering, manufacturing, and Agile methodologies. Currently serving as an Assistant Professor (Selection Grade) and Scrum Master at SRM Institute of Science and Technology (SRMIST), Ramapuram, he has played a pivotal role in integrating Agile practices into engineering education, mentoring teams, and enhancing organizational productivity. His educational journey includes an MBA from Annamalai University, an M.E. in Manufacturing Engineering from Madras Institute of Technology, and a B.E. in Mechanical Engineering from the University of Madras, and he is presently pursuing a part-time Ph.D. in Lean Manufacturing from Anna University. Over his career, he has held positions as an Assistant Professor at several engineering colleges and worked in industry roles including Production Engineer, contributing to process improvements and team management. Dr. Bhaskar has made significant research contributions in lean manufacturing, mechanical properties of materials, and the application of Agile methodologies, with numerous publications in journals and conferences. Beyond research and teaching, he is dedicated to continuous professional development, having completed multiple Faculty Development Programs, workshops, and online courses in project management, digital manufacturing, materials science, and other emerging technologies, reflecting his commitment to advancing knowledge and fostering innovation in engineering education.

Profiles:  Google Scholar | Linked In

Featured Publications

Alexpandian, A. S., Rajesha, M., Loganathan, P., Hariram, V., & [Y.R.]. (2023). Optimization of machining parameters to improve surface quality in the abrasive water jet cutting of AA6351 aluminium alloy. International Journal of Vehicle Structures & Systems, 15(4), 547–551.

Devaraju, A. B. A. (2025). Integrated ERP lean model for quality enhancement and operational excellence in SME based automotive mould manufacturing. Scientific Reports, 15(35979), 1–16.

Jeffrey, V. P. S. S. J. A., Govindaraj, S., Mahesh, R., Bhaskar, A., Arunkumar, K., & [R.]. (2025). Influence of Fe2O3 nanoparticle-infused waste cooking oil biodiesel on the emission, performance, and combustion aspects towards a cleaner environment. Journal of Environmental Nanotechnology, 14(3), 466–476.

Yoganjaneyulu, G., Perumal, V. S., Sivasankaran, S., Annamalai, B., & Niranjan, T. (2025). Strategic method to enhancing the formability of Nitinol foils via micro-incremental sheet forming processes and evaluation of structure–property. Metals and Materials International, 1–15.

Hepsi, B. M. J., Bhaskar, A., Rekha, R. S., & Vasanthi, P. (2024). Wear behavior of hemp-flax-glass fibre hybrid composite material. Advances in Additive Manufacturing Technologies, 75–79.

Oleg Selyugin | Big Data and Statistical Analytics | Big Data Analytics Award

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Dr. Oleg Selyugin | Big Data and Statistical Analytics | Big Data Analytics Award

Joint Institute for Nuclear Research | Russia

Dr. Oleg Selyugin is a Russian empirical and theoretical physicist with a distinguished career in high-energy hadron scattering and the structure of hadrons. After completing his studies at the Physics Department of Moscow State University, he joined the Joint Institute for Nuclear Research (JINR), first as a probationer and researcher at the Laboratory of Nuclear Problems, and later at the Bogoliubov Theoretical Laboratory (BTL), where he now serves as a leading scientist. At BTL, he earned his Ph.D. with the thesis “High energy elastic hadron-hadron scattering in a wide momentum transfer region,” and later obtained his Doctor of Physics and Mathematics degree with the thesis “The structure of high-energy amplitude of the elastic hadron-hadron scattering in the diffraction region.” Dr Selyugin has been recognized with multiple International Prizes of JINR for his outstanding contributions to polaron physics, hadron physics, and high-energy physics. His primary research interests include the structure of hadrons (PDFs, GPDs, form-factors), phenomenology of high-energy physics (differential cross sections, spin phenomena), models of extra dimensions (d-brane gravity), and nonlinear effects. He has been actively involved in interpreting experimental results from the CERN LHC, particularly the TOTEM and ATLAS Collaborations. His theoretical work integrates electromagnetic and gravitational form-factors derived from novel t-dependent GPDs, as well as soft and cross-even pomeron contributions, within dispersion-relation-based frameworks. With over 180 scientific papers, Dr Selyugin has made a profound and lasting impact on the understanding of elastic hadron scattering at high energies. Although specific bibliometric indicators such as 17 h-index, 78 documents, and 815 citations vary across databases, his scientific influence is widely recognized within the international physics community. He continues his pioneering research at JINR in Dubna, Russia.

Profiles: Scopus | Orcid

Featured Publications

Selyugin, O. V. (2024). Unified description of elastic hadron scattering at low and high energies. Physics of Atomic Nuclei, 87(S2), S349–S362.

Kuruba Chandrakala | Machine Learning and Statistics | Best Researcher Award

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Dr. Kuruba Chandrakala | Machine Learning and Statistics | Best Researcher Award

Siddhartha Academy of Higher Education | India

Dr. Kuruba Chandrakala is an emerging researcher in the domains of computer vision, deep learning, and medical image processing, currently serving as Assistant Professor (Selection Grade) in the CSE department at Siddhartha Academy of Higher Education, Vijayawada. She earned her Ph.D. from NIT Tiruchirappalli, preceded by M.Tech in Computer Science and Engineering with distinction from JNTU Kakinada and B.Tech in the same discipline from JNTU Anantapur. She has qualified both NET and APSET examinations. Her professional trajectory includes roles as Head of Department (CSE-AIML) at Vignan’s Nirula Institute of Technology & Science for Women and previous teaching appointments at VNITSW and SITAM, along with industry experience as a System Engineer with Tata Consultancy Services. Her publication record comprises five Scopus indexed papers, four of which are in SCIE journals, two IEEE conference papers, and one book chapter; she also holds one patent. Her Scopus metrics include an h-index of 4, 10 documents, and 150 citations. Her research has addressed areas such as diabetic retinopathy segmentation, robust blood vessel detection, and image enhancement through deep learning architectures. She teaches courses including Deep Learning, Machine Learning, Big Data Analytics, Cloud Computing, and programming in C, C++, Java, and Python. She has earned numerous certifications from NPTEL, Coursera, Microsoft, IBM, and Wipro and received awards such as the NPTEL Discipline Star and Wipro Project Excellence Award. Her leadership and mentoring roles include serving as a mentor for Wipro TalentNext, nodal officer for Microsoft Upskilling and APSCHE virtual internship programs, and coordinator for various hackathons. She is a life member of professional bodies such as CSI, ISTE, IAENG, and IET, and has delivered several invited and guest lectures, contributing significantly to academic excellence and research advancement.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Chandrakala, K., & Gopalan, N. P. (2025). 3DECNN: A novel method for segmentation of diabetic retinopathy in retinal fundus images using 3D-edge CNN. Neural Computing and Applications.

Kuruba, C., Sharmila, S. K., Mounika, V., Aswini, D., & Poojitha, G. (2023). Three layered security model to prevent credit card fraud using LBPH and CNN-ResNet architecture. International Conference on Hybrid Intelligent Systems, 422–428.

Dharmaiah, K., Mebarek-Oudina, F., Sreenivasa Kumar, M., & Chandra Kala. (2023). Nuclear reactor application on Jeffrey fluid flow with Falkner-Skan factor, Brownian and thermophoresis, non-linear thermal radiation impacts past a wedge. Journal of the Indian Chemical Society, 100(2), 117.

Kuruba, C., & Gopalan, N. P. (2023). Robust blood vessel detection with image enhancement using relative intensity order transformation and deep learning. Biomedical Signal Processing and Control, 86, 105195.

Kuruba, C., Pushpalatha, N., Ramu, G., Suneetha, I., Kumar, M. R., & Harish, P. (2023). Data mining and deep learning-based hybrid health care application. Applied Nanoscience, 13(3), 2431–2437.

Kaies Samet | Environmental and Climate Statistics | Best Researcher Award

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Assoc Prof. Dr. Kaies Samet | Environmental and Climate Statistics | Best Researcher Award

High Institute of Industrial Management of Sfax | Tunisia

Assoc Prof. Dr. Kaies Samet is a highly accomplished academic and researcher in the field of Economic Sciences, currently serving as Maitre de Conferences at the Institut Superieur de Gestion Industrielle de Sfax, Tunisia, and as an active researcher at the Laboratoire en Economie de Developpement, Faculty of Economics and Management of Sfax. He holds a Doctorate and a University Habilitation in Economic Sciences from the Faculty of Economics and Management of Sfax, earned with distinction. Over his long and dedicated academic career, he has taught at several prominent Tunisian institutions including the Institut Superieur de Gestion de Gabes, Ecole Superieure de Commerce de Sfax, Esprit School of Business, and Universite Centrale de Tunis. His teaching and research cover a wide range of topics such as economic growth, the knowledge economy, digital transformation, innovation systems, decision making models, and regional development. Dr Kaies Samet has authored more than forty five academic publications, including journal articles, book chapters, and conference papers, which together have received over 8 citations, demonstrating his influence in the academic community, with an h index of 2 according to Scopus. His research contributions often bridge theory and practice, addressing the dynamics of technological progress, information systems, and their implications for sustainable economic development in emerging economies. Beyond his research output, he has guided many students in postgraduate programs and collaborated with interdisciplinary teams on projects related to economic intelligence, competitiveness, and policy innovation. Dr. Samet is widely recognized for his analytical rigor, innovative thinking, and commitment to advancing economic education and applied research in Tunisia and abroad. His continuous engagement in academic conferences, seminars, and research collaborations reflects his passion for knowledge dissemination and his vision of building a stronger, innovation driven economy through education, research, and regional development initiatives.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Ben Flah, I., Samet, K., El Ammari, A., & Terzi, C. (2025). Shock and volatility transmissions across global commodity and stock markets spillovers: Empirical evidence from Africa. Journal of Risk and Financial Management, 18(6), 332.

Yahya Alshamy | Social and Behavioral Statistics | Best Researcher Award

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Dr. Yahya Alshamy | Social and Behavioral Statistics | Best Researcher Award

New York University | United States

Dr. Yahya  Alshamy is a culturally attuned economist and policy analyst with extensive experience in higher education and research across Saudi Arabia and the United States. Currently a Post-Doctoral Fellow and Lecturer at New York University, he enhances NYU’s teaching portfolio in law, macroeconomics, and political economy by integrating cutting-edge research in behavioural and development economics into graduate instruction, mentoring teaching and research assistants, and leading independent studies such as “Legitimacy by Consumption,” which examines economic welfare and authority in transitioning rentier states. Concurrently, he serves as an Associate Research Fellow at the King Faisal Centre for Research and Islamic Studies (KFCRIS), where he oversees research, authors flagship reports, and positions KFCRIS as a thought leader through publications analyzing non-oil revenue growth, subsidy reform, and intellectual history, including cross-disciplinary works on Yemen and comparative studies of Western conservative critiques of intellectuals. Previously, as a Graduate Lecturer at George Mason University, Dr. Alshamy redesigned large macroeconomics survey courses, employing interactive problem sets, real-time polling, policy simulations, and discussion labs to boost student engagement and evaluations. His Ph.D. research at the Mercatus Centre examined institutional failures in conflict zones and the governance of defence technologies, resulting in nine peer-reviewed journal articles, multiple book chapters, and high-impact policy briefs, including pioneering frameworks for evaluating “noxious government markets” in international arms trade. Dr. Alshamy has also executed large-scale data analytics projects, including NLP pipelines tracking U.S. and EU investor sentiment on Saudi Vision 2030, and designed behavioral interventions that informed financial literacy programs for young Saudi investors. With over ten peer-reviewed and policy publications, certifications in human-subjects research and executive communication, and board appointments on research advisory and scientific boards, he exemplifies a blend of rigorous scholarship, innovative pedagogy, and policy-relevant impact in economics and governance.

Profiles: Google Scholar |  Linked In

Featured Publications

Alshamy, Y., Callais, J. T., & Ammons, J. (2024). Nonviolent regime change and economic freedom. SSRN, 4877262.

Alshamy, Y., Goodman, N. P., & Novak, M. (2025). Polycentric peace. Journal of Pacifism and Nonviolence, 1(aop), 1–29.

Alshamy, Y. (2025). Mind the cultural gap: Cultural contingency of behavioral interventions. SSRN, 5316905.

Alshamy, Y. (2024). Monocentric governance and the rise of sectarian conflict in Yemen. In Conflicts and challenges in the Middle East: Religious, political and …

Alshamy, Y. (2024). Essays on institutional analysis and development in war-torn countries. George Mason University.

Gang Yang | Statistical Genetics and Genomics | Best Researcher Award

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Prof. Gang Yang | Statistical Genetics and Genomics | Best Researcher Award

The First Hospital of Lanzhou University | China

Prof. Gang Yang is a distinguished Professor based in China, currently affiliated with The First Hospital of Lanzhou University, with a major research focus on cerebrovascular disease and glioma. Over his academic career, he has made sustained contributions to understanding molecular mechanisms and clinical implications in neurovascular and neuro-oncology fields. His representative works include: “HNF1A induces glioblastoma by upregulating EPS8 and activating PI3K/AKT signaling pathway” published in Biochemical Pharmacology, “EPS8 is a Potential Oncogene in Glioblastoma” in OncoTargets and Therapy, “Identifying the role of aging-related genes in intracranial aneurysms through bioinformatics analysis” in Chinese Neurosurgical Journal, “Revisiting sinking skin flap syndrome: a series of case reports and literature review on cranioplasty with PEEK implants” in Neurological Research, and “Ferroptosis in early brain injury after subarachnoid hemorrhage: review of literature” in Chinese Neurosurgical Journal. His body of work interweaves molecular biology, signaling pathways, bioinformatics, and translational neurosurgical topics, with a particular emphasis on how genes such as EPS8 drive glioblastoma progression and how neurovascular injury processes involve oxidative stress and ferroptotic pathways. He is also active in reporting clinical neurosurgical phenomena such as sinking skin flap syndrome and exploring genetic and aging mechanisms underlying aneurysm development, reflecting his dual interest in both basic and clinical neuroscience. Professor Yang’s academic record demonstrates a profound commitment to bridging laboratory findings with clinical applications, enhancing diagnosis, and therapeutic strategies for brain tumors and cerebrovascular conditions. He has authored 8 peer-reviewed publications, which have collectively received 63 citations, resulting in an h-index of 4. His expertise in molecular oncology, vascular neurosurgery, and bioinformatics establishes him as a leading figure in cerebrovascular and glioma research both nationally and internationally.

Profiles: Scopus 

Featured Publications

Kang, J., Xu, X., Tian, S., & Yang, G. (2025). Revisiting sinking skin flap syndrome: A series of case reports and literature review on cranioplasty with PEEK implants. Neurological Research, 47(2), 1–7.

Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

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Assoc Prof. Dr. Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

Taiyuan University of Technology | China

Assoc Prof. Dr. Yongsheng Wang is an Associate Professor in the College of Materials Science & Engineering at Taiyuan University of Technology, China. His research focuses on alloy materials and coating design, fabrication, and characterization, including high-entropy alloys, additive manufacturing, diamond coatings, and surface treatments. He obtained his Ph.D. from the University of Science & Technology Beijing and completed postdoctoral research at Beihang University, with a visiting scholar experience at Purdue University, United States. Dr. Wang has made significant contributions to the development of advanced alloy systems and surface engineering technologies. He has published over 60 peer-reviewed scientific papers in reputed international journals, authored several high-impact studies on metallic glass composites, Ti-based alloys, and high-entropy materials, and holds nine patents, including one granted in the United States. His work has received multiple financial supports from the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, the Shanxi Provincial Natural Science Foundation, and the State Key Laboratory of Advanced Metal Materials. With an impressive h-index of 18, over 1,013 citations, and approximately 91 research documents, his research has established him as a leading expert in materials science. Dr. Wang’s technical expertise covers a wide range of experimental techniques such as scanning electron microscopy, X-ray diffraction, nanoindentation, and additive manufacturing, contributing to the understanding and optimization of mechanical properties, microstructures, and performance of next-generation alloy materials.

Profiles: Scopus | Orcid 

Featured Publications

Qi, J., Wu, Y., Zhang, C., Yu, S., Wang, Y., Liu, Y., & Hei, H. (2025). Ultraviolet photodetector of TiO₂ film in different phase on various substrates. Ceramics International.

Mu, Y., Liang, Y., Sheng, J., Zhang, C., Guo, Z., Yang, G., Sun, T., Wang, Y., & Lin, J. (2025). A novel approach to coating for improving the comprehensive high-temperature service performance of TiAl alloys. Journal name, volume(issue), page range.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Microstructural evolution and densification behavior of high-Nb TiAl produced by powder forging.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Low-temperature deposition of CVD diamond films on HfNbTaMo medium entropy alloy: Morphology, process and wear properties. Surface and Coatings Technology, 509, 130887.

Wang, Y., Hou, M., Huang, Z., Xu, Y., Tan, C., & Xiao, H. (2025). Effect of heat treatment on microstructure and mechanical properties of a new alpha-titanium alloy Ti-6.0Al-3.0Zr-0.5Sn-1.0Mo-1.5Nb-1.0V. Journal of Materials Engineering and Performance, 34, 12348–12358.

Mohammad Imrul Islam | Geospatial and Spatial Statistics | Best Researcher Award

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Mr. Mohammad Imrul Islam | Geospatial and Spatial Statistics | Best Researcher Award

Bangladesh Space Research and Remote Sensing Organization (SPARRSO) | Bangladesh

Mr. Mohammad Imrul Islam is a highly dedicated Remote Sensing Researcher and Senior Scientific Officer (SSO) at the Bangladesh Space Research and Remote Sensing Organization (SPARRSO), where he has been contributing his expertise since 2015. With over a decade of professional experience in Remote Sensing (RS) and Geographic Information System (GIS), his work focuses on environmental monitoring, agriculture, forestry, and water resource management, making him one of the promising scientific minds in Bangladesh’s earth observation community. He holds a Master of Engineering in Remote Sensing and GIS from Beihang University, Beijing, China (GPA 3.76), along with both Master of Science and Bachelor of Science degrees in Geography and Environment from Jahangirnagar University, Bangladesh, with first-class distinction. At SPARRSO, he has successfully led and contributed to several national and institutional projects such as flash flood monitoring in Tanguar Haor, spatio-temporal analysis of fisheries habitats, water quality assessment for inland fisheries, and GIS-based marine fishing zone identification. His research showcases his ability to integrate satellite data with advanced geospatial analytics for sustainable environmental management and disaster resilience. His postgraduate research and pilot studies explored innovative approaches such as retrieving Leaf Area Index (LAI) and analyzing the relationship between Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP), reflecting his strong foundation in combining remote sensing models with ecological parameters for vegetation monitoring. Mr. Islam has participated in numerous international training and capacity-building programs organized by ISRO, APSCO, NESAC, Hokkaido University, and the University of Twente (ITC, Netherlands), enhancing his global scientific exposure. His technical expertise covers major geospatial and analytical software including ArcGIS, QGIS, ERDAS Imagine, ENVI, SNAP, and cloud-based tools such as Google Earth Engine, complemented by programming proficiency in Python, R, and MATLAB. Fluent in both English and Bangla, and with a TOEIC score of 805, he demonstrates strong communication and collaboration skills across international platforms. Through his ongoing research on seasonality mapping of surface water and hydrometeorological flood monitoring, he continues to contribute toward global climate resilience and sustainable resource management. Actively engaged on ResearchGate, LinkedIn, and ORCID, Mohammad Imrul Islam inspires emerging geospatial researchers across South Asia. His academic rigor, technical competence, and impactful research contributions make him an exemplary candidate for the Best Researcher Award, recognizing his significant role in advancing earth observation and remote sensing research at both national and international levels.

Profiles: Google Scholar | Orcid | Linked In

Featured Publications

Islam, M. I., Rahman, M. M., & Islam, M. Z. (2025). Comparative analysis of chlorophyll-a retrieval algorithms for inland waterbodies of Bangladesh using Sentinel-2 and Landsat-8 imagery. Discover Geoscience.

Niloy, N. M., Habib, S. M. A., Islam, M. I., Haque, M. M., Shammi, M., & Tareq, S. M. (2023). Distribution, characteristics and fate of fluorescent dissolved organic matter (FDOM) in the Bay of Bengal. Marine Pollution Bulletin.

Islam, M. I., Habib, S. M. A., Haque, S. A. U., Sultana, N., Faisal, B. M. R., Rahman, H., & Sharifee, M. N. H. (2020). Applicability of OCO-2 solar induced chlorophyll fluorescence (SIF) data for the estimation of photosynthetic activity in Bangladesh. Journal of Engineering Science, 11(2), 1–9.

Faisal, B. M. R., Rahman, H., Sharifee, N. H., Sultana, N., Islam, M. I., Habib, S. M. A., & Ahammad, T. (2020). Integrated application of remote sensing and GIS in crop information system: A case study on Aman rice production forecasting using MODIS-NDVI in Bangladesh. AgriEngineering, 2(2), 243–257.

Rahman, M. M., Pramanik, M. A. T., Islam, M. I., & Razia, S. (2019). Mapping mangrove forest change in Nijhum Dwip Island. Journal of Environmental Science and Natural Resources, 11(1–2), 25–32.