Theano Kokkinaki | Psychology | Women Researcher Award

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Prof. Theano Kokkinaki | Psychology | Women Researcher Award

University of Crete | Greece

Professor Theano Kokkinaki is a distinguished developmental psychologist whose pioneering research focuses on mother–infant and father–infant interaction, intersubjectivity, emotion, and imitation in early development. Her work integrates micro-analysis of spontaneous interactions, cross-cultural studies, and neuroscientific approaches to understanding emotional coordination and social communication in infancy. She has authored and co-authored numerous influential publications in high-impact journals such as Frontiers in Psychology, European Journal of Developmental Psychology, Infant and Child Development, and Journal of Reproductive and Infant Psychology. Her seminal studies on infant imitation, emotional coordination, and vocal communication are widely cited internationally, reflecting her major contribution to developmental and intersubjective psychology. Professor Kokkinaki leads and participates in multiple national and international research projects funded by the European Union (Horizon Europe, Next Generation EU) and the Hellenic Foundation for Research and Innovation, focusing on topics such as premature infant development, autonomic nervous system maturation, and psychosocial factors in early growth. Her research impact is recognized through extensive citations, invitations as a guest editor and reviewer for leading psychology and pediatric journals, and awards from organizations including the Society of Cretan Scientists and the Lego Foundation. As a guest associate editor for Frontiers in Psychology and editorial board member for over ten international journals, she contributes to the global advancement of developmental and behavioral science. Her innovative findings on early emotional communication and intersubjectivity continue to shape research, theory, and practice in developmental psychology worldwide. According to her Google Scholar profile, Professor Kokkinaki has published extensively, with 1,266 total citations, an h-index of 16, and an i10-index of 23, underscoring her significant scholarly influence and lasting contribution to the field.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  • Trevarthen, C., Kokkinaki, T., & Fiamenghi, G. A. Jr. (1999). What infants’ imitations communicate: With mothers, with fathers and with peers. Cambridge University Press.

  • Kokkinaki, T., & Kugiumutzakis, G. (2000). Basic aspects of vocal imitation in infant-parent interaction during the first 6 months. Journal of Reproductive and Infant Psychology, 18(3), 173–187.

  • Kugiumutzakis, G., Kokkinaki, T., Makrodimitraki, M., & Vitalaki, E. (2005). Emotions in early mimesis. In Emotional Development (pp. 161–182).

  • Keller, H., Papaligoura, Z., Künsemueller, P., Völker, S., Papaeliou, C., Lohaus, A., & Kokkinaki, T. (2003). Concepts of mother-infant interaction in Greece and Germany. Journal of Cross-Cultural Psychology, 34(6), 677–689.

  • Kokkinaki, T., & Vasdekis, V. G. S. (2015). Comparing emotional coordination in early spontaneous mother–infant and father–infant interactions. European Journal of Developmental Psychology, 12(1), 69–84

Elżbieta Radziszewska-Zielina | Engineering | Best Researcher Award

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Prof. Dr. Elżbieta Radziszewska-Zielina | Engineering | Best Researcher Award

Cracow University of Technology | Poland

Prof. Dr. Elżbieta Radziszewska-Zielina is a distinguished researcher from Politechnika Krakowska, Krakow, Poland, widely recognized for her pioneering work in civil engineering, sustainable construction management, and intelligent systems for project engineering. Her research bridges technical innovation, computational modeling, and sustainability principles to enhance efficiency, environmental responsibility, and resilience in the built environment. She has published 59 scientific papers indexed in Scopus, which have collectively received 838 citations, yielding a Scopus h-index of 20, reflecting her strong academic influence and international recognition. Her studies focus on modern construction materials, energy-efficient building technologies, blue-green infrastructure, and systemic approaches to reducing greenhouse gas emissions in urban construction. Her innovative use of computational techniques—including type-1 and type-2 fuzzy logic, stochastic networks, multi-criteria decision analysis, and optimization algorithms—has advanced the understanding and practical application of complex construction processes. Prof. Dr. Elżbieta Radziszewska-Zielina’s notable research outputs include the development of decision-support systems for construction planning, models for adaptive reuse of historic buildings, and optimization frameworks for nearly zero-energy buildings. She has contributed to key international research and educational projects funded by the National Science Centre (NCN), National Centre for Research and Development (NCBR), Horizon 2020, and other European programs. Her editorial leadership includes guest editing special issues in Sustainability, Polymers, and Open Engineering, and serving on the boards of Archives of Civil Engineering and Selected Scientific Papers – Journal of Civil Engineering.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate

Featured Publications

  • Kania, E., Radziszewska-Zielina, E., & Śladowski, G. (2020). Communication and information flow in Polish construction projects. Sustainability, 12(21), 9182. https://doi.org/10.3390/su12219182

  • Radziszewska-Zielina, E., & Śladowski, G. (2017). Supporting the selection of a variant of the adaptation of a historical building with the use of fuzzy modelling and structural analysis. Journal of Cultural Heritage, 26, 53–63. https://doi.org/10.1016/j.culher.2017.02.007

  • Radziszewska-Zielina, E., Śladowski, G., & Sibielak, M. (2017). Planning the reconstruction of a historical building by using a fuzzy stochastic network. Automation in Construction, 84, 242–257. https://doi.org/10.1016/j.autcon.2017.09.005

  • Radziszewska‐Zielina, E. (2010). Methods for selecting the best partner construction enterprise in terms of partnering relations. Journal of Civil Engineering and Management, 16(4), 510–520. https://doi.org/10.3846/jcem.2010.57

  • Korytárová, J., Hanák, T., Kozik, R., & Radziszewska–Zielina, E. (2015). Exploring the contractors’ qualification process in public works contracts. Procedia Engineering, 123, 276–283. https://doi.org/10.1016/j.proeng.2015.10.084

Ismail Altan Tulle | Psychology | Outstanding Young Forensic Scientist Award

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Assist. Prof. Dr. Ismail Altan Tulle | Psychology | Outstanding Young Forensic Scientist Award

Duzce University | Turkey

Assist. Prof. Dr. Ismail Altan Tulle is a distinguished scholar in the field of Forensic Psychology, focusing on offender profiling, cognitive distortions, and the psychological assessment and rehabilitation of sexual and violent offenders. His research has significantly contributed to the understanding of sexual offending behaviors, femicide, ecological risk factors, and the psychology of violence. He has published extensively in peer-reviewed journals such as Discover Psychology, Turkish Psychological Articles, and Turkish Journal of Psychiatry, addressing topics like child sexual abuse, confirmatory factor analyses of psychometric tools, and offender cognition. Dr. Ismail Altan Tulle is also the editor and contributing author of major academic volumes including Profiles of Women and Crime from the Perspectives of Different Disciplines and chapters in the Encyclopedia of Forensic Sciences and Criminalistics. His research project on “Offender Profiling and Risk Assessment of Sexual and Violent Offenders: Crime Analysis in Türkiye” was supported by TÜBİTAK (SOBAG). With over 25 scholarly publications, he has established himself as a key figure advancing forensic psychology research in Türkiye. Dr. Ismail Altan Tulle serves as Field Editor for Forensic Psychology at the Journal of Psychological Research Perspectives (JOPRP) and is recognized for his editorial and scholarly leadership in integrating psychological science into forensic and criminal justice contexts. His work emphasizes risk assessment, cognitive-behavioral rehabilitation approaches, and developing evidence-based psychological frameworks for offender management and violence prevention. Despite personal health challenges, he continues to demonstrate exceptional research productivity and academic resilience, contributing to the global discourse on forensic mental health, violence prevention, and offender rehabilitation.

Profiles: ORCID | ResearchGate | LinkedIn

Featured Publications

  • Tülü, İ. A., & Erden, G. (2014). Crime analysis regarding sex offenders in Turkey: Psychological profiling, cognitive distortions and psychopathy among rapists. Turkish Journal of Psychiatry, 25(1), 19–30. https://doi.org/10.5080/u7070

  • Tülü, İ. A., & Erden, G. (2014). Türkiye’de cinsel suçlular ile ilgili suç analizi: cinsel saldırı suçlularının psikolojik profilleri, bilişsel çarpıtmaları ve psikopati düzeyleri. Turkish Journal of Psychiatry, 25(1), 19–30.

  • Tülü, İ. A., Üstün Güllü, B., & Moraloğlu Tekin, Ö. (2021). Evlilikte eşe yönelik gerçekleşen cinsel saldırı: eş tecavüzü. Jinekoloji-Obstetrik ve Neonatoloji Tıp Dergisi. https://doi.org/10.38136/jgon.874423

  • Tülü, İ. A., & Erden, G. (2025). Preliminary findings of confirmatory factor analysis of the MOLEST Scale and cognitive distortions regarding child sexual abuse in male university students in Türkiye. Discover Psychology, 5, Article 140. https://doi.org/10.1007/s44202-025-00451-3

  • Tülü, İ. A., & Demirbaş, H. (2024). Farklı disiplinlerin bakış açılarından kadın ve suç profilleri. Anı Yayıncılık. ISBN: 978-625-97716-4-9

 

Adimias Wendimagegn | Data Science | Best Researcher Award

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Mr. Adimias Wendimagegn | Data Science | Best Researcher Award

Kotebe University of Education | Ethiopia

Mr. Adimias Wendimagegn is a data scientist and biostatistician specializing in statistical modeling, distribution theory, and applications in public health. His research primarily focuses on advanced regression frameworks, including classical and Bayesian modeling approaches under GAMLSS and BAMLSS structures. He has introduced novel models such as the Alpha Power Transformed Beta (APTBeta) regression for analyzing antenatal care utilization and developed methodological frameworks for Gamma and Beta-type distributions. He has published multiple peer-reviewed journal articles indexed in Scopus and Web of Science, contributing significantly to statistical theory and biostatistical applications. His works include studies on antenatal care utilization, maternal age at first birth, and advanced distributional models for proportion data. He is also the author of two academic books published by LAP Lambert Academic Publishing, covering joint modeling of longitudinal and survival data and determinants of teenage fertility in Ethiopia. His scholarly contributions extend to the development of R packages for regression modeling and diagnostics, enhancing reproducibility and accessibility in statistical analysis. Mr. Adimias Wendimagegnserves as a reviewer for leading international journals such as PLOS ONE and Value in Health, and his publications have received multiple citations reflecting his growing impact in the field. Through his research, he continues to advance innovative statistical methodologies and their applications in health and demographic studies.

Profile: ResearchGate

Featured Publications

  • Wendimagegn, A., & Arero, B. G. (2025, October). Alpha power transformed beta regression with application on antenatal care visit proportions among Ethiopian women. Journal of Statistical Theory and Applications. https://doi.org/10.1007/s44199-025-00135-w

  • Wendimagegn, A., Goshu, A. T., & Arero, B. G. (2024, September). New alpha power transformed beta distribution with its properties and applications. Frontiers in Applied Mathematics and Statistics, 10. https://doi.org/10.3389/fams.2024.1433767

  • Wendimagegn, A. (2019, March). Determinant of solid-waste management in Debre Birhan Town. American Journal of Theoretical and Applied Statistics, 8(1), 26–33. https://doi.org/10.11648/j.ajtas.20190801.14

Monika Dhanda | Chemistry and Materials Science | Best Researcher Award

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Assist. Prof. Dr. Monika Dhanda | Chemistry and Materials Science | Best Researcher Award

Deenbandhu Chhotu Ram University of Science and Technology | India

Dr. Monika Dhanda, affiliated with Deenbandhu Chhotu Ram University of Science and Technology, Sonipat, India, is a distinguished researcher whose scientific pursuits lie at the intersection of nanomaterials, electrochemistry, and sustainable energy technology. Her research centers on the synthesis, structural modification, and electrochemical evaluation of graphitic carbon nitride (g-C₃N₄) and metal derivative nanocomposites for cutting-edge energy storage systems, particularly supercapacitors and hybrid energy devices. Through advanced material engineering, she investigates how the synergistic integration of metal oxides, conducting polymers, and carbon-based nanostructures enhances charge storage capacity, rate capability, and cyclic durability. With 23 Scopus-indexed publications, 261 citations, and an h-index of 10, Dr. Monika Dhanda has established a significant academic footprint in the field of energy materials. Her works, published in renowned journals such as Journal of Energy Storage, Journal of Alloys and Compounds, Materials Science and Engineering B, and Solid State Ionics, have contributed to the development of high-performance, cost-effective, and eco-friendly electrode materials. Her recent research emphasizes optimizing the physicochemical and electrochemical behavior of ternary and doped nanocomposites, achieving superior energy and power densities for next-generation technologies. Beyond publication excellence, she has successfully completed multiple research projects, holds a patent under process, and actively engages in interdisciplinary collaborations in energy materials and applied nanoscience. Dr. Monika Dhanda’s overarching vision is to pioneer sustainable materials that drive global clean energy transformation and promote technological innovation in electrochemical energy storage.

Profile: Scopus | ORCID | ResearchGate

Featured Publications

  1. Jhanjhariya, N., Ahlawat, S., Thakran, M., Khokher, S., Arora, R., Dhanda, M., & Lata, S. (2025). One-dimensional FeVO₄/MWCNT composite electrode to procure an asymmetric supercapacitor device with superior parameters in Na₂SO₄ electrolyte: Synthesis and energy applications. New Journal of Chemistry. https://doi.org/10.1039/d4nj04951a

  2. Arora, R., Dhanda, M., Yadav, M., Rao, V. S., Pahuja, P., Ahlawat, S., Nehra, S. P., & Lata, S. (2025). Nanoscale energy: Unveiling the super-capacitive prowess of graphitic carbon nitride–carbon dots–yttria as GCY nanocomposites for sustainable energy electrode. Journal of Solid State Electrochemistry. https://doi.org/10.1007/s10008-024-06117-9

  3. Manisha, Qaeemy, M. T., Dhanda, M., Lata, S., Kumar, H., & Sharma, A. (2025). Optimization of Nb₂O₅/g-C₃N₄/PPy as an electrode material for prevailing electrochemical performance. Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2025.1511271

  4. Thakran, M., Khokher, S., Ahlawat, S., Jhanjhariya, N., Pahuja, P., Dhanda, M., Yadav, M., Bhaskaran, & Lata, S. (2025). Biowaste utilisation to fabricate corrosion retarding nanofiller MA/LS (mango kernel ash/lauric acid treated SiO₂) blended epoxy coating for low alloyed carbon steel in saline medium. Materials Chemistry and Physics. https://doi.org/10.1016/j.matchemphys.2024.130179

  5. Pahuja, P., Yadav, M., Arora, R., Dhanda, M., Yadav, M. K., Jhaa, G., Satija, A., Kumar, S., & Lata, S. (2025). Polyvinyl pyrrolidone oxime-TiO₂-phenylalanine composite as a moderate corrosion resistant over low-carbon steel surface in marine environment: Computational, synthesis and electrochemical findings. Journal of the Indian Chemical Society. https://doi.org/10.1016/j.jics.2025.101598

Jinbo Feng | Environmental and Sustainable Materials | Best Researcher Award

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Mr. Jinbo Feng | Environmental and Sustainable Materials | Best Researcher Award

Shenzhen University | China

Mr. Jinbo Feng is a researcher in architecture at Shenzhen University, China, whose work focuses on sustainable building design, environmental comfort, and material innovation. His research integrates architectural theory with environmental technology, emphasizing thermal comfort optimization, self-insulating concrete development, solid waste recycling, and bionic design for marine ecological restoration. He has co-authored peer-reviewed studies, including the SCI Q2 article “Climate-Responsive Design for Sustainable Housing: Thermal Comfort, Spatial Configuration, and Environmental Satisfaction in Subtropical Void Decks” published in Buildings, and presented at the 16th International Conference on Environment-Behavior Studies (CEB-ASC) on residents’ perception of settlement spaces. His ongoing projects involve the thermal comfort study of overhead spaces in subtropical residential buildings, finite element modeling of thermal and mechanical behavior in insulating blocks, and bionic polymer reef design under the Shenzhen–Hong Kong Joint Funding Programme. Recognized with the Shenzhen University Special Award Scholarship and other academic honors, Feng demonstrates a strong commitment to advancing low-carbon, resource-efficient architectural solutions. His work contributes to bridging the gap between design aesthetics, engineering functionality, and environmental sustainability, promoting innovative strategies for climate-responsive architecture in rapidly urbanizing subtropical regions.

Profile: ORCID

Featured Publications

  • Feng, J., & [Mentor’s Name]. (2024). Climate-responsive design for sustainable housing: Thermal comfort, spatial configuration, and environmental satisfaction in subtropical void decks. Buildings. (SCI Q2).

  • Feng, J., & [Mentor’s Name]. (2024). A study of the correlation between the form of public space in settlements and the evaluation of residents’ perceptions. In Proceedings of the 16th International Conference on Environment-Behavior Studies (CEB-ASC), Nanjing University, China.

Nepoleon Prabakaran | Business, Management and Accounting | Young Scientist Award

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Mr. Nepoleon Prabakaran | Business, Management and Accounting | Young Scientist Award

Alliance Ascent College | India

Mr. Nepoleon Prabakaran is an emerging scholar in Consumer Neuroscience, Organizational Behavior, and Digital Learning Environments, with impactful contributions spanning metaverse-based learning, leadership psychology, and consumer behavior analytics. His research examines the dynamic intersection of technology, management, and human cognition, focusing on how digital ecosystems influence trust, performance, and engagement in educational and corporate contexts. He has published extensively in Scopus- and Web of Science-indexed journals, including Frontiers in Education, Review of Education, Journal of Metaverse, Central European Management Journal, Journal of Information Technology Education: Research, and Journal of Economics and Management. His studies on metaverse adoption, job crafting, cultural intelligence, and digital literacy are widely recognized for integrating behavioral insights with data-driven methodologies. Mr. Nepoleon Prabakaran has co-authored several book chapters in international volumes published by CRC Press and IGI Global, addressing contemporary themes such as consumer neuroscience, MOOCs, and sustainable digital transformation. His collaborative research has gained significant academic visibility, reflected in his Google Scholar metrics — Citations: 124; h-index: 4; i10-index: 3 — demonstrating the growing scholarly impact of his work. He has earned multiple Best Paper Awards at prestigious international conferences organized by Jaipuria Institute of Management, Bennett University (Spain collaboration), IES MCRC, and the University of Rijeka, Croatia, acknowledging his excellence in applied behavioral and digital management research. With over 20 research publications in high-impact international outlets, his ongoing research involves metaverse-driven education, AI-integrated consumer analytics, and positive leadership frameworks that foster employee flourishing and organizational trust. Mr. Nepoleon Prabakaran actively contributes to the global academic community as a reviewer and conference participant, promoting interdisciplinary advancement in management science and digital innovation.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

• Kareem, J., Patrick, H. A., Prabakaran, N., Tantia, V., M. P. M. P. K., & Mukherjee, U. (2023). Transformational educational leaders inspire school educators’ commitment. Frontiers in Education, 8, 1171513. https://doi.org/10.3389/feduc.2023.1171513

• Ahamed, A. A., Patrick, H. A., Kareem, J., Mukherjee, U., & Nepoleon, M. P. (2023). Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support. Review of Education, 11(1), e3390. https://doi.org/10.1002/rev3.3390

• Kareem, J., Patrick, H. A., & Prabakaran, N. (2024). Exploring the factors of learning organization in school education: The role of leadership styles, personal commitment, and organizational culture. Central European Management Journal. https://doi.org/10.1108/CEMJ-2024

• Prabakaran, N., & Patrick, H. A. (2024). Global regionalization of consumer neuroscience behavioral qualities on insights from Google Trends. In Explainable AI Applications for Human Behavior Analysis (pp. 258–274). Springer. https://doi.org/10.1007/978-3-031-xxxxx-x_15

• Prabakaran, N., Patrick, H. A., & Kareem, J. (2025). Enhancing English language proficiency and digital literacy through metaverse-based learning: A mixed-methods study in higher education. Journal of Information Technology Education: Research, 24, 010. https://doi.org/10.28945/5261

Spomenka Kobe | Environmental and Sustainable Materials | Distinguished Scientist Award

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Prof. Dr. Spomenka Kobe | Environmental and Sustainable Materials | Distinguished Scientist Award

The Jožef Stefan Institute | Slovenia

Prof. Dr. Spomenka Kobe is a distinguished materials scientist and one of Europe’s leading experts in nanostructured materials, magnetic materials, and sustainable alloy design. Her pioneering research has advanced the scientific understanding and technological innovation in rare-earth magnet technology, nanostructured thin films, and magnetic materials recycling. She played a pivotal role in establishing rare-earth magnet research in Slovenia, leading major national and European research programs on critical raw materials and sustainable magnet production. Her Scopus-indexed research portfolio includes 169 publications, which have collectively received 2,350 citations from 1,949 documents, reflecting an h-index of 22. Her work spans critical areas of magnetism, solid-state physics, thin-film engineering, and microstructural analysis, significantly influencing global research directions in advanced materials science. Prof. Dr. Spomenka Kobe’s scientific leadership is exemplified through her coordination of the FP7 European Project ROMEO (Replacement and Original Magnet Engineering Option) and the International Associated Laboratory PACS2 (Push-Pull AlloyS and Complex Compounds) in collaboration with CNRS, France. She has also been a principal investigator on numerous EU and national R&D projects and an active contributor to international academic and industrial innovation networks. Her applied research achievements include seven patents (four European patents), three innovations, and multiple technology transfers to industrial production, showcasing her ability to translate advanced materials research into practical applications. She has authored several book chapters, delivered numerous invited lectures, and contributed to major international conferences on magnetic and nanostructured materials.

Profiles: Scopus | ResearchGate | LinkedIn

Featured Publications

• Schieren, L., Semsari Parapari, S., Tomše, T., Žužek, K., Šturm, S., Kobe, S., & Burkhardt, C. (2025). Evaluating citric acid as a selective leaching agent to extract Nd₂Fe₁₄B matrix phase from end-of-life magnets. Journal of Rare Earths, 43(7). https://doi.org/10.1016/j.jre.2025.04.020

• Grau, L., Moreno López, R., Kubelka, P., Burkhardt, F., Tomše, T., Kobe, S., & Burkhardt, C. (2024). Effects of thermal demagnetization in air on the microstructure and organic contamination of NdFeB magnets. Materials, 17(22), 5528. https://doi.org/10.3390/ma17225528

• Tomše, T., Burkhardt, F., Krasniqi, L., Ivekovič, A., Kocjan, A., Kobe, S., Podmiljšak, B., Burkhardt, C., Šturm, S., & Žužek Rožman, K. (2024, September). An alternative sintering strategy for anisotropic Nd–Fe–B magnet based on recycled content. International Materials Science and Engineering Congress (MSE 2024).

• Grau, L., Fleissner, P., Kobe, S., & Burkhardt, C. (2024). Processability and separability of commercial anti-corrosion coatings produced by in situ hydrogen-processing of magnetic scrap (HPMS) recycling of NdFeB. Materials, 17(11), 2487. https://doi.org/10.3390/ma17112487

• Tomše, T., Podmiljšak, B., Scherf, L. M., Kessler, R., Kobe, S., Kocjan, A., Šturm, S., & Žužek Rožman, K. (2024). Unravelling the intricacies of micro-nonuniform heating in field-assisted sintering of multiphase metallic microstructures. Journal of Materials Processing Technology. https://doi.org/10.1016/j.jmatprotec.2024.118405

Mehnaz Tabassum | Computer Science and Artificial Intelligence | Women Researcher Award

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Dr. Mehnaz Tabassum | Computer Science and Artificial Intelligence | Women Researcher Award

University of Sydney | Australia

Dr. Mehnaz Tabassum is an accomplished researcher in Computational Neurosurgery and Health Innovation, with core expertise in medical image analysis, artificial intelligence, and brain tumor diagnostics. Her research integrates deep learning, radiomics, and neuroimaging to enhance the precision of tumor segmentation, classification, and recurrence prediction in neuro-oncology. Her scholarly contributions include 14 Scopus-indexed publications, with a total of 87 citations and an h-index of 4 (Scopus metrics). She has published in prestigious journals such as Cancers, European Radiology, and Neuro-Oncology Advances, and has presented her findings at leading international conferences including IEEE EMBC and IEEE ISBI. Dr. Mehnaz Tabassum’s recent research explores cross-modality medical image synthesis, MRI-to-PET generation using diffusion and GAN-based models, and meta transfer learning for brain tumor segmentation. Her innovative work advances computational solutions for precision medicine and AI-assisted neuroimaging. She has received multiple distinctions, including the Pro-Vice Chancellor’s Research Excellence Scholarship and the Henry Sutton Postgraduate Research Scholarship, alongside a Best Paper Award for excellence in scientific contribution. Her interdisciplinary research continues to impact the fields of AI-driven diagnostics, eye-tracking in medical imaging, and computational modeling for neurosurgical innovation, reflecting her commitment to advancing data-driven healthcare and translational neuroscience.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate | Staff Page

Featured Publications

  • Tabassum, M., Suman, A. A., Suero Molina, E., Pan, E., Di Ieva, A., & Liu, S. (2023). Radiomics and machine learning in brain tumors and their habitat: A systematic review. Cancers, 15(8), Article 2034. https://doi.org/10.3390/cancers15082034

  • Ghose, P., Alavi, M., Tabassum, M., Ashraf Uddin, M., Biswas, M., Mahbub, K., … & Hassan, M. (2022). Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach. Frontiers in Genetics, 13, 980338. https://doi.org/10.3389/fgene.2022.980338

  • Moradizeyveh, S., Tabassum, M., Liu, S., Newport, R. A., Beheshti, A., & Di Ieva, A. (2024). When eye-tracking meets machine learning: A systematic review on applications in medical image analysis. arXiv preprint arXiv:2403.07834. https://arxiv.org/abs/2403.07834

  • Tabassum, M., Suman, A. A., Russo, C., Di Ieva, A., & Liu, S. (2023). A deep learning framework for skull stripping in brain MRI. Neurocomputing (Under review).

  • Afrin, F., Al-Amin, M., & Tabassum, M. (2015). Comparative performance of using PCA with K-means and fuzzy C means clustering for customer segmentation. International Journal of Scientific and Technology Research, 4(8), 70–74.