Shubham Bhattacharjee | Research Excellence | Research Excellence Award

Published on by Scientist Day

Mr. Shubham Bhattacharjee | Research Excellence | Research Excellence Award

IIT Roorkee, India

Shubham Bhattacharjee is a Geomatics researcher specializing in remote sensing, GIS, SAR polarimetry, glacier dynamics, and environmental modeling. He is pursuing a PhD at Indian Institute of Technology Roorkee and previously earned an Integrated M.Tech. in Geoinformatics with academic distinction from Central University of Jharkhand. His research focuses on glacier mass balance, sea ice monitoring, flood mapping, avalanche susceptibility, and land cover change prediction using geospatial and machine learning techniques. He has completed research internships at reputed institutions and authored multiple publications in leading international journals, demonstrating strong expertise in cryospheric studies, climate applications, disaster assessment, and advanced geospatial analytics.

Professional Profile 

Education

Shubham Bhattacharjee has established a strong academic foundation in geomatics, geoinformatics, and geospatial sciences through consistent academic excellence and specialized higher education. He is currently pursuing a Doctor of Philosophy in Geomatics Engineering at Indian Institute of Technology Roorkee, one of India’s leading institutions for engineering and technological research. His doctoral research focuses on advanced remote sensing applications, glacier dynamics, cryospheric studies, and geospatial modeling techniques. Prior to his doctoral studies, he completed an Integrated M.Tech. in Geoinformatics from Central University of Jharkhand with outstanding academic distinction. He secured an exceptional CGPA and was honored with both the Gold Medal and Chancellor’s Medal for academic excellence. His educational journey reflects a deep commitment to interdisciplinary scientific research, combining spatial technologies, computational methods, environmental science, and satellite data analytics. During his academic training, he developed expertise in remote sensing, GIS, machine learning, spatial modeling, and digital image processing, which later became the foundation of his research career.

Professional Experience

Shubham Bhattacharjee has gained valuable research and technical experience through multiple internships and scientific projects conducted at nationally recognized institutions. His professional experience demonstrates strong exposure to geospatial technologies, environmental monitoring, disaster assessment, and spatial data analysis. During his internship at Tata Institute of Social Sciences, he worked on land use land cover and land surface temperature estimation for solar power panel site suitability analysis, integrating geospatial methods with sustainable energy planning. At North Eastern Space Applications Centre, he conducted landslide susceptibility mapping for Arunachal Pradesh using GIS-based analytical methods including AHP, frequency ratio techniques, and neural network models. He also completed research training at Banaras Hindu University, where he analyzed morphometric and morphotectonic characteristics of river basins using remote sensing and GIS approaches. In addition to internships, he has contributed to several advanced projects involving glacier mass balance estimation, glacier surface velocity analysis using SAR data, flood inundation mapping through Google Earth Engine, avalanche susceptibility assessment in high-altitude regions, fishing potential zonation mapping, and environmental impact studies related to air pollution and COVID-19. His professional experience highlights his capability to apply geospatial technologies to complex environmental and climatic challenges.

Research Interests

Shubham Bhattacharjee’s research interests are centered on geomatics engineering, cryospheric science, remote sensing, and geospatial applications for environmental monitoring and disaster management. His work primarily focuses on glacier dynamics, glacier mass balance estimation, SAR polarimetry, ice thickness modeling, and glacier surface velocity assessment across the Himalayan and Karakoram regions. He has significant expertise in utilizing Synthetic Aperture Radar data, Google Earth Engine, machine learning algorithms, neural networks, and GIS-based spatial analysis for large-scale environmental studies. His research also extends to sea ice concentration and drift analysis, climate variability studies, flood hazard mapping, avalanche susceptibility assessment, land cover change prediction, and coastal resource monitoring. He has demonstrated strong interest in integrating geospatial technologies with computational techniques to improve environmental assessment and predictive modeling. His scientific contributions reveal a multidisciplinary research approach that combines geosciences, climatology, hydrology, cryosphere studies, and artificial intelligence-driven spatial analytics. Through his research, he aims to contribute toward sustainable environmental management, climate change understanding, and disaster risk reduction using advanced geoinformatics methodologies.

Awards and Honors

Shubham Bhattacharjee has received several academic distinctions and competitive recognitions that reflect his scholarly excellence and technical expertise in geomatics and geospatial science. One of his most notable achievements includes receiving the Gold Medal and Chancellor’s Medal during his Integrated M.Tech. studies for outstanding academic performance and institutional excellence. He also qualified the UGC-NET examination in Geography with a very high percentile, demonstrating strong conceptual knowledge and research aptitude in geographical sciences and spatial studies. Furthermore, he achieved excellent rankings in the highly competitive GATE examination in Geomatics Engineering, securing impressive All India Ranks that highlight his technical proficiency and analytical capabilities. His growing publication record in reputed international journals further reflects recognition of his research contributions within the scientific community. The combination of academic honors, national-level examination achievements, and impactful scientific publications demonstrates his consistent dedication to excellence in research and higher education.

Conclusion

Shubham Bhattacharjee represents a promising and accomplished researcher in the field of geomatics engineering and geospatial sciences. His academic excellence, advanced technical expertise, and significant research contributions demonstrate a strong commitment to addressing environmental and cryospheric challenges through innovative geospatial technologies. His work on glacier dynamics, climate-related studies, disaster assessment, and remote sensing applications reflects both scientific depth and practical relevance. Through interdisciplinary research integrating GIS, SAR, machine learning, and computational modeling, he has contributed valuable insights to environmental monitoring and sustainable resource management. His consistent academic achievements, research experience at reputed institutions, and growing international publication record position him as an emerging scholar with the potential to make substantial contributions to geomatics, cryosphere science, and environmental research at the global level.

Ouafaa Morjani | Research Excellence | Research Excellence Award

Published on by Scientist Day

Dr. Ouafaa Morjani | Research Excellence | Research Excellence Award

Dr. Ouafaa Morjani | Hassan II University of Casablanca | Morocco

Dr. Ouafaa Morjani is a dedicated researcher in Molecular Biology, Genetics, and Bioinformatics, holding a Ph.D. from Hassan II University of Casablanca, Morocco. Affiliated with the Faculty of Sciences and Technics of Mohammedia, her work is rooted in the Laboratory of Virology, Oncology, Biosciences, Environment, and New Energies. Her research primarily focuses on thoracic oncology, particularly Non-Small Cell Lung Cancer (NSCLC), where she integrates molecular profiling, genetic variants, biomarkers, and advanced diagnostic technologies to improve early detection and precision medicine. Dr. Morjani has authored and co-authored multiple peer-reviewed publications addressing clinical, anatomical, and molecular dimensions of lung cancer. Her work includes exploring GWAS-derived genetic variants in NSCLC, investigating interleukin-based blood biomarkers, analyzing metastasis patterns, and assessing the impact of smoking on lung cancer mechanisms. She has also presented extensively at prestigious international conferences in Morocco, France, and Saudi Arabia, contributing to discussions on NGS applications, ROS1 rearrangement detection, and molecular pathology. Her scientific expertise is strengthened by advanced training in Next-Generation Sequencing (NGS) at renowned institutions in France, along with hands-on experience in sequencing platforms such as Ion Torrent and Illumina. She is proficient in NGS library preparation, nucleic acid extraction, and bioinformatics analysis involving FastQ, BAM, and SAM files. Her competencies extend to R programming, statistical analysis, and functional genomics. She has participated in major workshops, including the African BioGenome Project Fellowship, enhancing her mastery of genome assembly, annotation, and biodiversity genomics. Dr. Morjani has additional experience in molecular diagnostics, including RT-qPCR detection of foodborne viruses and breast cancer biomarker analysis through IHC and FISH. She is also actively involved in teaching, mentoring, quality assurance, COVID-19 testing, and regulatory compliance. A member of multiple national and international scientific societies, she is recognized for her adaptability, teamwork, communication skills, and strong commitment to advancing cancer genomics and molecular oncology.

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Featured Publications

Morjani, O., Benkirane, N., Errihani, H., Elfahime, E. M., & Lakhiari, H. (2024). Molecular analysis of genetic mutations in non-small cell lung cancer in Morocco. Pan African Medical Journal, 47(1).

Morjani, O., Benlhachemi, S., Errihani, H., El Fahime, E., & Lakhiari, H. (n.d.). Epidemiological, clinical, anatomopathological and molecular profiles of lung cancer in patients at the oncology center of the Cheikh Zaid International University Hospital in Rabat. [Journal information incomplete].

Morjani, O., Yang, Y.-W., Lahlil, R., Lakhiari, H., & Alaoui, H. (2025). Hematological biomarkers for early detection of lung cancer: Evaluating the diagnostic potential of circulating interleukin levels. International Journal of Molecular Sciences, 26(22), 11014.

Morjani, O., Mounaji, N., Ghaouti, M., Errihani, H., El Fahime, E., & Lakhiari, H. (2024). Next generation sequencing and genomic mapping: Towards precision molecular diagnosis of lung cancer in Morocco. Pan African Medical Journal, 49, 75.

Morjani, O., Karimoune, M. A. S., Errihani, H., El Fahime, E. M., & Lakhiari, H. (2023). Comparative study of molecular techniques for detecting ROS1 rearrangement in non-small cell lung cancer: Implications for diagnostic precision. Journal of Molecular Diagnostics, 26(6), S5–S6.