Shubham Bhattacharjee | Research Excellence | Research Excellence Award

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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.

Sisay Alamneh | Research Excellence | Research Excellence Award

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Mr. Sisay Alamneh | Research Excellence | Research Excellence Award 

Ethiopian Public Health Institute – EPHI | Ethiopia 

Sisay Tadele Alamneh is a dedicated PhD fellow and researcher specializing in molecular epidemiology, with a strong focus on human papillomavirus (HPV), cervical cancer, and sexually transmitted infections. With extensive experience in public health, clinical laboratory science, and infectious disease research, he has developed expertise in advanced molecular techniques such as PCR and sequencing. He plays a key role in national surveillance programs, laboratory diagnostics, and outbreak response, including COVID-19 and Mpox. He is actively involved in research, training, and scientific publication, contributing to improved public health strategies and disease control initiatives in Ethiopia.

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Featured Publications

Mohamed Amen | Research Excellence | Research Excellence Award

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Dr. Mohamed Amen | Research Excellence | Research Excellence Award

Adelaide University (University of South Australia, formerly) | Australia

Dr. Mohamed Amen is a Postdoctoral Researcher at Adelaide University, specialising in the development and translation of nanoscale sensor technologies for biomedical applications. With a strong foundation in biomedical and biomaterial engineering, his work focuses on the design of solid-state field-effect transistors for high-sensitivity biosignal monitoring and point-of-care diagnostics. His research aims to bridge advanced nanotechnology with clinical applications, addressing critical healthcare challenges such as heart failure, traumatic brain injury, preeclampsia, and epilepsy. Dr. Amen has made significant contributions to the field of wearable and implantable diagnostic devices, leveraging microfabrication and nanotechnology platforms to create novel biosensors capable of real-time monitoring of physiological signals. His research combines engineering expertise with translational potential, exemplified by the development of rapid finger-prick tests and wearable ECG systems that are moving toward clinical evaluation and patent protection. His work has attracted industry collaboration, including engagement with leading healthcare technology partners, underscoring the practical impact of his innovations. To date, he has published numerous peer-reviewed articles in high-impact journals and has contributed to several consultancy and industrial projects. His research is highly cited, reflecting its global relevance and scientific influence. He is also an active member of professional societies, including the Australian Materials Research Society and the Australia and New Zealand Nano & Microfluidic Society, fostering collaboration and knowledge exchange within the scientific community. Dr. Amen’s work exemplifies research excellence through its combination of cutting-edge innovation, translational application, and community impact. His ongoing projects aim to revolutionize point-of-care diagnostics and wearable biosensing, with the ultimate goal of improving early disease detection, patient outcomes, and global healthcare delivery. His dedication to advancing biomedical nanotechnology positions him as a leading researcher in the integration of solid-state nanosensors into practical clinical tools.

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Hamideh Elmizadeh | Research Excellence | Research Excellence Award

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Assist. Prof. Dr. Hamideh Elmizadeh | Research Excellence | Research Excellence Award

Assist. Prof. Dr. Hamideh Elmizadeh | Iranian Research Organization for Science and Technology (IROST) | Iran

Dr. Hamideh Elmizadeh is an accomplished analytical chemist specializing in the design, synthesis, and application of advanced nanomaterials, particularly quantum dots and fluorescent nanosensors for biomedical, forensic, and environmental applications. Her expertise spans optical bio-nanosensors, chemometrics, drug-delivery systems, and the development of high-performance analytical platforms using cutting-edge experimental design and molecular spectroscopy techniques. She is highly skilled in software tools such as Design-Expert, Origin, ChemDraw, and Microsoft Office, complementing her strong background in experimental optimization and nanosensor fabrication. Dr. Elmizadeh has served in academic and research positions across leading Iranian institutions, contributing to higher education as a visiting professor and advancing interdisciplinary research as an assistant professor in analytical chemistry. She has also been actively involved in forensic analytical science through her role at a legal medicine research center, where she developed innovative fluorescent probes for rapid and ultrasensitive detection of drugs and biomolecules in complex biological matrices. Her scientific contributions include numerous publications in high-impact journals, covering quantum dot synthesis, apta-nanobiosensors, hydrogel-based materials, environmental pollutant detection, chitosan-based drug carriers, and chemometric modeling. She has authored specialized conference presentations and co-developed several national patents related to photocatalysis, nanomaterial-based sensors, and targeted drug-delivery systems. Her work has resulted in successful research projects leading to impactful publications, patented technologies, and advanced nanosensor prototypes. Dr. Elmizadeh is also the author of a book on chemical and optical nanosensors and maintains active profiles on major scientific platforms, including ResearchGate, LinkedIn, ORCID, and Scopus. She has participated in numerous specialized workshops on nanotechnology, biosensing, flow cytometry, commercialization, standard development, emotional intelligence, and entrepreneurship. Recognized for scientific excellence, leadership, and innovation, Dr. Elmizadeh is a member of national scientific organizations and serves as editor-in-chief of a nanochemistry journal. Her work reflects a strong commitment to advancing analytical chemistry through research, teaching, and technological innovation.

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Featured Publications:

Khanmohammadi, M., Elmizadeh, H., & Ghasemi, K. (2015). Investigation of size and morphology of chitosan nanoparticles used in drug delivery system employing chemometric technique. Iranian Journal of Pharmaceutical Research, 14(3), 665–672.

Elmizadeh, H., Khanmohammadi, M., Ghasemi, K., Hassanzadeh, G., & others. (2013). Preparation and optimization of chitosan nanoparticles and magnetic chitosan nanoparticles as delivery systems using Box–Behnken statistical design. Journal of Pharmaceutical and Biomedical Analysis, 80, 141–146.

Elmizadeh, H., Faridbod, F., Soleimani, M., Ganjali, M. R., & Bardajee, G. R. (2020). Fluorescent apta-nanobiosensors for fast and sensitive detection of digoxin in biological fluids using rGQDs: Comparison of two approaches for immobilization of aptamer. Sensors and Actuators B: Chemical, 302, 127133.

Elmizadeh, H., Soleimani, M., Faridbod, F., & Bardajee, G. R. (2017). Ligand-capped CdTe quantum dots as a fluorescent nanosensor for detection of copper ions in environmental water sample. Journal of Fluorescence, 27(6), 2323–2333.

Bardajee, G. R., Zamani, M., Mahmoodian, H., Elmizadeh, H., Yari, H., & others. (2021). Capability of novel fluorescence DNA-conjugated CdTe/ZnS quantum dots nanoprobe for COVID-19 sensing. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 269, 120702.

Aikaterini Sousamli | Academic Recognition | Best Researcher Award

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Mrs. Aikaterini Sousamli | Academic Recognition | Best Researcher Award

Mrs. Aikaterini Sousamli | University of West Attica, Department of Midwifery | Greece

Aikaterini Sousamli is an experienced midwife, researcher, and PhD candidate at the University of West Attica, specializing in perinatal health, autism spectrum disorder (ASD), women’s health, and primary healthcare. With a strong academic foundation in midwifery and postgraduate studies in Primary Health Care—completed with highest distinction—she has developed a multidisciplinary profile that integrates clinical care, epidemiological research, and public health education. Her doctoral research focuses on perinatal factors associated with the emergence of ASD in children and the implications for family dynamics. She contributes actively as a research associate in major public health, epidemiology, antimicrobial resistance, and global health indicator programs within the Department of Medicine at the University of Thessaly. Her expertise also extends to family planning, maternal mental health, menopause, postpartum care, and vulnerable populations. Throughout her clinical career, she has held key positions in family planning centers, obstetrics and gynecology units, oncology operating rooms, and primary healthcare services. She has played an instrumental role in revitalizing community-based family planning services, developing childbirth education programs both in-person and online, and delivering health education to students and the wider community on reproductive health, prevention, and women’s well-being. Her scientific activity includes numerous peer-reviewed publications, systematic reviews, epidemiological studies, and collaborative research across midwifery, public health, autism, reproductive health, multiple sclerosis, and maternal mental health. She has contributed to international and national conferences with oral presentations and e-posters, and she serves as a reviewer for reputable scientific journals. Additionally, she has supported academic development through translation and editing of midwifery educational materials and has delivered lectures in university medical programs on primary healthcare and the role of the midwife.

Profile; Orcid | Research Gate

Featured Publications:

Amar, F. E. (2025). EL JUEGO COMO MEDIO DE ENSEÑANZA DE LOS DEPORTES PARALÍMPICOS. In Cartografía Lúdica: enseñar, aprender, cuidar y transformar la cultura y la sociedad jugando (Book chapter). ISBN: 979-13-7006-273-6.

Amar, F. E. (2025). EL MAESTRO QUE ACTÚA. UNA NARRATIVA A PROPÓSITO DE SU HOMOSEXUALIDAD. In Caminando hacia la inclusión de las personas LGBTIQA+. Resistencias y alternativas contrahegemónicas (Book chapter). ISBN: 979-13-7006-510-2.

Amar, F. E. (2025). Mi infancia son recuerdos de un patio (de colegio) en Cádiz. Gaditana-Logía Comunicación.

Amar, F. E. (2025). Tecnología, inclusión y educación social. Una narrativa. RiiTE: Revista Interuniversitaria de Investigación en Tecnología Educativa.

Amar, F. E. (2025). Mi infancia son recuerdos de un patio (de colegio) en Cádiz. Gaditana-Logía. https://doi.org/10.25267/Gadit.2025.v6.07

Amar, F. E., & Amar, V. (2025). Tecnología, inclusión y educación social. Una narrativa. Revista Interuniversitaria de Investigación en Tecnología Educativa. https://doi.org/10.6018/riite.685041

Seyyed Javad Hosseini-Vashan | Research Excellence | Research Excellence Award

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Assoc. Prof. Dr. Seyyed Javad Hosseini-Vashan | Research Excellence | Research Excellence Award

Assoc. Prof. Dr. Seyyed Javad Hosseini-Vashan | University of Birjand | Iran

Dr. Seyyed Javad Hosseini-Vashanis an Associate Professor of Animal Science at the University of Birjand, specializing in Poultry Science and Poultry Nutrition. With an academic path beginning with a diploma in Natural Sciences and progressing through B.Sc. and M.Sc. degrees in Animal and Poultry Science from the University of Birjand, followed by a Ph.D. in Poultry Science from Ferdowsi University of Mashhad, he has built a strong research portfolio in poultry nutrition, antioxidant strategies, heat-stress mitigation, feed additives, and improvement of poultry performance, immunity, lipid metabolism, skeletal health, intestinal morphology, and meat quality. His M.Sc. and Ph.D. dissertations focused on enriching egg yolk n-3 fatty acids and evaluating natural antioxidants in diets containing vegetable oils and tallow under heat stress in Arian broilers. Since joining academia in , Dr. Hosseini-Vashan has held key administrative roles as Head of the Animal Science Department and Head of the Animal Science Research Laboratory, and has served as Secretary of the First National Congress on Advances in Animal Sciences. He is an active member of several professional bodies including WPSA and the Iran Genetics Association. His teaching portfolio spans Poultry Production, Poultry Health, Nutrition, Biochemistry, Physiology, Diet Formulation, and Advanced Bioenergetics. He has authored numerous conference papers and peer-reviewed journal publications in prestigious Iranian and international journals, addressing nutritional interventions such as pomegranate peel, tomato pomace, turmeric, grape pomace, hempseed, nanoselenium, saffron petal extract, and functional feed additives in poultry and ostrich production systems. His research consistently emphasizes enhancing animal health and productivity under challenging environmental conditions, especially heat stress, and exploring natural, cost-effective, and sustainable dietary solutions for the modern poultry industry.

Profile: Google Scholar

Featured Publications

Hosseini-Vashan, S. J., Golian, A., & Yaghobfar, A. (2016). Growth, immune, antioxidant, and bone responses of heat stress-exposed broilers fed diets supplemented with tomato pomace. International Journal of Biometeorology, 60(8), 1183–1192.

Hosseini-Vashan, S. J., Golian, A., Yaghobfar, A., Zarban, A., Afzali, N., & … (2012). Antioxidant status, immune system, blood metabolites and carcass characteristic of broiler chickens fed turmeric rhizome powder under heat stress. African Journal of Biotechnology, 11(94), 16118–16125.

Safdari-Rostamabad, M., Hosseini-Vashan, S. J., Perai, A. H., & Sarir, H. (2017). Nanoselenium supplementation of heat-stressed broilers: Effects on performance, carcass characteristics, blood metabolites, immune response, antioxidant status, and jejunal morphology. Biological Trace Element Research, 178(1), 105–116.

Hosseini-Vashan, S. J., Safdari-Rostamabad, M., Piray, A. H., & Sarir, H. (2020). The growth performance, plasma biochemistry indices, immune system, antioxidant status, and intestinal morphology of heat-stressed broiler chickens fed grape (Vitis vinifera) pomace. Animal Feed Science and Technology, 259, 114343.

Sharifian, M., Hosseini-Vashan, S. J., Nasri, M. H. F., & Perai, A. H. (2019). Pomegranate peel extract for broiler chickens under heat stress: Its influence on growth performance, carcass traits, blood metabolites, immunity, jejunal morphology, and meat quality. Livestock Science, 227, 22–28.

Hosseini-Vashan, S. J., & Raei-Moghadam, M. S. (2019). Antioxidant and immune system status, plasma lipid, abdominal fat, and growth performance of broilers exposed to heat stress and fed diets supplemented with pomegranate pulp. Journal of Applied Animal Research, 47(1), 521–531.

Eric Howard | Research Excellence | Research Excellence Award

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Dr. Eric Howard | Research Excellence | Research Excellence Award

Dr. Eric Howard | Macquarie University | Australia

Dr. Eric Howard is an accomplished academic leader, researcher, and innovator with nearly three decades of combined experience across computational physics, astronomy, quantum computing, data science, and cybersecurity. He has made influential contributions through teaching, curriculum design, research supervision, and interdisciplinary program development across multiple higher-education sectors. His academic leadership includes directing programs and advancing pedagogical frameworks for undergraduate, postgraduate, and MBA-level studies. Dr. Howard’s research portfolio reflects significant advancements in emerging technologies. His completed and ongoing projects span quantum machine learning for fraud detection, hybrid quantum-classical neural networks for intrusion detection, quantum Bayesian inference models, variational simulations of molecular ground states, holographic beam shaping with AI optimization, and quantum graph neural networks for complex systems. He has published more than sixty peer-reviewed papers in respected SCI and Scopus-indexed journals, covering quantum information science, artificial intelligence, cosmology, cryptography, and computational physics. He also contributes to global scholarship as an editor for international journals in physics and theoretical mathematics, while serving as a peer reviewer for prominent scientific publishers and organizations. In addition, Dr. Howard maintains strong collaborative ties with national research institutes, quantum technology networks, and centers of excellence, advancing high-impact interdisciplinary projects. In industry, Dr. Howard has demonstrated entrepreneurial leadership as CEO of companies specializing in AI-powered cybersecurity and data-driven digital automation. His consultancy experience includes developing secure e-learning ecosystems, threat intelligence platforms, cloud security frameworks, and advanced analytics solutions for enterprise and academic clients. Dr. Howard’s key contributions include pioneering quantum-enhanced cybersecurity models, designing AI-driven threat intelligence frameworks, and leading competitive grant-funded projects in quantum sensing, VQE simulations, and digital security. His sustained commitment to innovation, mentorship, and research excellence underscores his significant impact on scientific, technological, and educational advancement.

Profile: Orcid | Google Scholar

Featured Publications

Howard, E. (2025). Data imputation with deep learning: AI techniques for handling missing or noisy data. Eksplorium. https://doi.org/10.52783/eksplorium.65

Howard, E. (2025). End-to-end visibility in global supply chains: Blockchain and AI integration [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28528676

Howard, E. (2025). Leveraging computer vision and data science for enhanced operational efficiency in smart enterprises. Tangence. https://doi.org/10.52783/tangence.6

Ramshankar, P., Howard, E., Srinivasan, V., Prabu, D., Dhanraj, J. A., Kumar, M. J., & Rajendiran, M. (2025). Nanoscale characterization and imaging techniques for material analysis. AIP Conference Proceedings. https://doi.org/10.1063/5.0277578

Howard, E. (2025). Optimization of heat transfer in mechanical systems using AI in neural networks. Tangence. https://doi.org/10.52783/tangence.3

Howard, E. (2025). Real-time image-based data processing and its applications in managerial decision-making and risk analysis. Eksplorium. https://doi.org/10.52783/eksplorium.181

Ouafaa Morjani | Research Excellence | Research Excellence Award

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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.