Susanne Neufang | AI in Life Science Research | Editorial Board Member

Dr. Susanne Neufang | AI in Life Science Research | Editorial Board Member

University of Cologne | Germany

PD Dr. rer. nat. Susanne Neufang is a highly accomplished researcher with a strong record of scientific productivity and impact, demonstrated through 52 publications, including indexed and collaborative works across cognitive neuroscience, psychiatry, neuroimaging, and machine-learning–driven mental health research. Her contributions have earned a significant global footprint, reflected in a total citation count of 2,479 and an impressive h-index of 27, underscoring the consistent influence and recognition of her research within the scientific community. In addition, she holds an i10-index of 50, highlighting the breadth of her impactful publications that have gained substantial scholarly attention. Her work spans innovative areas such as functional and structural brain connectivity, developmental neuroimaging, executive function research, anxiety disorders, ADHD, and advanced machine-learning approaches through large international consortia including PRONIA and ENIGMA. The depth of her expertise is reflected in numerous high-quality articles addressing neurobiological mechanisms, biomarkers, and computational modeling across psychiatric and neurodevelopmental conditions. With a research trajectory enriched by interdisciplinary collaborations and substantial scientific contributions, she exemplifies a researcher whose publication metrics reflect both productivity and sustained scientific relevance in the fields of neuroscience, psychiatry, and data-driven mental health research.

Profile: Orcid 

Featured Publications

Kong, L., Yang, C., Neufang, S., Beyan, O. D., & Boukhers, Z.  EMORL: Ensemble multi-objective reinforcement learning for efficient and flexible LLM fine-tuning. arXiv.

Neuner, L. M., Weyer, C., Kambeitz-Ilankovic, L., Korda, A., Dwyer, D., Antonucci, L. A., Kambeitz, J., Upthegrove, R., Salokangas, R. K. R., Hietala, J., … Neufang, S. Decoding psychosis risk: Neuroanatomical correlates of the NAPLS-2 calculator in the PRONIA cohort. Schizophrenia Bulletin.

Neufang, S., Li, F., Akhrif, A., & Beyan, O. D. Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder: A machine-learning based classification study. BMC Medical Informatics and Decision Making.

Korda, A., Lencer, R., Sprenger, A., Meyhöfer, I., Dannlowski, U., Romer, G., Kambeitz-Ilankovic, L., Kambeitz, J., Lichtenstein, T., Rosen, M., … Neufang, S. Brain texture alterations predict subtle visual perceptual dysfunctions in recent-onset psychosis and clinical high-risk state [Preprint]. Research Square.

Buciuman, M. O., Haas, S. S., Antonucci, L. A., Sarisik, E., Khuntia, A., Lichtenstein, T., Rosen, M., Kambeitz, J., Pantelis, C., Lencer, R., … Neufang, S. From snapshots to stable outcomes: rs-fMRI-based prognosis of functioning in patients with psychosis risk or recent-onset depression. Biological Psychiatry.

Divya Udayan J | AI in Life Science Research | Best Researcher Award

Dr. Divya Udayan J | AI in Life Science Research | Best Researcher Award

Amrita Vishwa Vidyapeetham | India

Dr. Divya Udayan J, Ph.D., currently serving as Assistant Professor (Sl.Gr) at the School of Computing, Amrita Vishwa Vidyapeetham, has established herself as a dynamic researcher in the fields of computer vision, robotics, machine learning, human–computer interaction, augmented and virtual reality, and geospatial technologies. She holds a Ph.D. in Internet and Multimedia Engineering from Konkuk University, South Korea, where she secured the highest, along with an M.Tech in Embedded Systems from Amrita University and a B.Tech in Information Technology from the University of Kerala. Dr. Divya’s research contributions have gained significant recognition globally. Her publications and projects span topics such as 3D procedural modeling, medical and cultural heritage visualizations, terrain fusion, and urban governance applications through CityGML. She has successfully led and collaborated on multiple funded projects supported by institutions in South Korea and India, and her innovative works have earned her accolades such as the IRDP Best Researcher & Innovation Award (2019), NVIDIA GPU and Intel research grants, and best paper awards at major international conferences. With her strong interdisciplinary expertise and impactful contributions, she continues to advance the boundaries of computing research.

Profiles: Scopus | Orcid

Featured Publications

Technological advances for digital twins in the metaverse for sustainable healthcare: A rapid review

Deep learning in monocular 3D human pose estimation: Systematic review of contemporary techniques and applications

Application of Unsupervised Learning in Detecting Behavioral Patterns in E-commerce Customers