Draft:Diogen Babuc
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Diogen Babuc | |
|---|---|
| Scientific career | |
| Fields | Computer science, Artificial intelligence |
| Institutions | Universitatea de Vest din Timișoara |
Diogen Babuc (Băbuț) is a Serbian computer scientist, researcher, educator, and author of Romanian descent. Babuc is affiliated with Universitatea de Vest din Timișoara (West University of Timișoara). His work spans machine learning, medical informatics, and interdisciplinary theory, mainly in English, alongside literary contributions in Serbian.[1]
Early life and education
[edit]Diogen Babuc was born in 1999 in Uzdin, Serbia.[2] Babuc graduated from the Faculty of Mathematics and Computer Science at Universitatea de Vest din Timișoara. He completed a master's degree in bioinformatics as valedictorian in 2023 and later pursued PhD.[3]
Academic career
[edit]Babuc has been affiliated with Universitatea de Vest din Timișoara as a teaching assistant since 2022, contributing to courses in computer science and systems-related disciplines.[4] He has participated in research collaborations and conferences in artificial intelligence and distributed systems.[5]
Research
[edit]Babuc's research focuses on machine learning in healthcare and systems optimization. One of his works explores improving cervical cancer detection using collaborative filtering techniques.[6] He has also contributed to research on:
- Federated learning platforms for medical imaging;
- Deep neural network architectures for disease classification;
- Vision transformer models for diagnostic systems.[7]
Babuc gained international recognition after receiving an award at the ECML PKDD 2025 conference at the workshop for Responsible Healthcare.[8] The awarded project, titled MedFusion-LM, was recognized for its contribution to responsible healthcare AI, focusing on privacy-preserving data analysis and explainable decision-making in medical systems.[9]
Artificial intelligence in healthcare
[edit]He has contributed to AI-driven diagnostic systems and medical image analysis, including work published in Springer proceedings.[10] He has also authored research on ensemble learning applied to COVID-19 datasets.[11] His work includes research on hybrid task scheduling and optimization of neural network inference for skin lesions.[12]
Interdisciplinary theory
[edit]Babuc proposed The Theory of Proportions and Symbolic Allusions Applied Interdisciplinarily (TPASAI), integrating mathematical and symbolic analysis.[13]
Literary work
[edit]In addition to scientific research, Babuc is also a writer in Serbian literature. His works include:
- Kartagina (2018);
- Skladište (2023);
- Osuđenici (2025).
His writing has been described as combining philosophical reflection, literary theory, and social critique.[14] The novel Osuđenici was published by the Serbian publishing house Nova Poetika.[15]
Selected publications
[edit]- Hybrid Task Scheduling for Optimized Neural Network Inference on Skin Lesions[16]
- Bionnica: a customizable deep neural network architecture for colorectal polyps’ premalignancy risk evaluation with masked autoencoders[17]
- MultiH-EU: An AI-Driven Decision Support System for Multi-disease Diagnosis[18]
Public presence
[edit]Babuc has been mentioned in cultural and community events in the Vojvodina region. It reflects his involvement in both academic and cultural spheres.[19]
References
[edit]- ^ "Provocările din viața unui cercetător, scriitor și cadru didactic". Libertatea. Retrieved 2026-04-27.
- ^ "O nouă carte a tânărului Diogen Băbuț". Libertatea. 2026-01-22. Retrieved 2026-04-27.
- ^ "Provocările din viața unui cercetător, scriitor și cadru didactic". Libertatea. Retrieved 2026-04-27.
- ^ "An Authentic Algorithm for Ciphering and Deciphering Called Latin Djokovic". arXiv. Retrieved 2026-04-27.
- ^ "Hybrid Task Scheduling for Optimized Neural Network Inference". ACM Digital Library. Retrieved 2026-04-27.
- ^ Babuc, Diogen (2024). "Enhancing the Performance of Cervical Cancer Screening using the Item-Item Collaborative Filtering". Applied Medical Informatics.
- ^ "DBLP publication list". DBLP. Retrieved 2026-04-27.
- ^ "Inteligența artificială în slujba medicinei: Diogen Băbuț, premiat la nivel european pentru inovație în sănătate digitală". Libertatea. 2025-11-27. Retrieved 2026-04-27.
- ^ "Inteligența artificială în slujba medicinei". Libertatea. Retrieved 2026-04-27.
- ^ "MultiH-EU: An AI-Driven Decision Support System for Multi-disease Diagnosis" (PDF). Springer. Retrieved 2026-04-27.
- ^ "A novel ensemble learning technique of shallow models applied on a COVID-19 dataset". ResearchGate. Retrieved 2026-04-27.
- ^ "Hybrid Task Scheduling for Optimized Neural Network Inference". ACM Digital Library. Retrieved 2026-04-27.
- ^ "The Theory of Proportions and Symbolic Allusions Applied Interdisciplinarily". arXiv. Retrieved 2026-04-27.
- ^ "O nouă carte a tânărului Diogen Băbuț". Libertatea. Retrieved 2026-04-27.
- ^ "O nouă carte a tânărului Diogen Băbuț". Libertatea. Retrieved 2026-04-27.
- ^ "Hybrid Task Scheduling for Optimized Neural Network Inference on Skin Lesions". ACM Digital Library. Retrieved 2026-04-27.
- ^ "Bionnica: a customizable deep neural network architecture for colorectal polyps' premalignancy risk evaluation with masked autoencoders". Springer. Retrieved 2026-04-27.
- ^ "MultiH-EU" (PDF). Springer. Retrieved 2026-04-27.
- ^ "Zilele Uzdinului încep în curând". RTV. Retrieved 2026-04-27.