鶹ýӳ

鶹ýӳ
Professor

Prof. Dr. -Ing. Mehrdad Jalali

Professor of Data Science

Room: LGS 6, 2. OG, Arc 215
E-Mail: [email protected]
Phone: +49 6221-6799-XXX
About me

About me

Professor für Artificial Intelligence & Cheminformatics an der 鶹ýӳ of Applied Science Heidelberg; Sektionsherausgeber für „Materials Data Science & AI“ bei Materials Today Communications (Elsevier). Ehemaliger Senior Data Scientist am Karlsruher Institut für Technologie (KIT), Deutschland, sowie ehemaliger außerordentlicher Professor und Leiter des Fachbereichs Informatik an der Azad-Universität Mashhad (Iran). Seine Forschung konzentriert sich auf Cheminformatik, Graph Learning/GNNs, Empfehlungssysteme, Large Language Models für elektronische Laborjournale (ELNs) und Forschungsautomatisierung, FAIR Data/Ontologien, maschinelles Lernen für Spektroskopie/Charakterisierung sowie Optimierung. Er ist Autor von mehr als 150 wissenschaftlichen Publikationen in nationalen und internationalen Fachzeitschriften und Konferenzen. Promotion in Intelligent Computing (Universiti Putra Malaysia).

Forschungsinteressen:

  • Cheminformatik und Materialdatenwissenschaft
  • Graph Learning / GNNs und Netzwerkanalyse
  • Empfehlungssysteme und Information Retrieval
  • LLMs in ELNs und Laborautomatisierung
  • FAIR Data, Ontologien und Metadaten
  • Maschinelles Lernen für Spektroskopie (IR, XPS) und Charakterisierung
  • Metaheuristische Optimierung
Excerpt

I have contributed to these publications


Current publications:

Google Scholar:


publications

  • Jalali*, A. D. Dinga Wonanke, Friederich, Wöll — The Black Hole Strategy: Gravity-Based Representative Sampling for Frugal Graph Learning on Metal–Organic Framework Networks — Journal of Chemical Information and Modeling (2025). DOI: 10.1021/acs.jcim.5c01518
     
  • Jalali*, Caulfield, Sauter, Nefedov, Yang, Wöll — Application of Neural Networks for Advanced IR Spectroscopy of Ceria — Advanced Intelligent Discovery (accepted, 2025). DOI: 10.1002/aidi.202500046
     
  • Bangian, Jalali*, Houshmand — Inverse Link Prediction with GCNs for Knowledge-Preserving Sparsification — Journal of Big Data (2025). DOI: 10.1186/s40537-025-01220-8
     
  • Vu, Keshri, Chandna, Jalali*, Mehraeen — Fine-tuning Transformers for Emotion Detection — International Journal of Information Technology (2025). DOI: forthcoming
     
  • Vu, Mehraeen, Hande, Chandna, Jalali* — InformatIQ for Module Handbook Metadata — International Journal of Computers & Applications (2025). DOI: forthcoming
     
  • Dalirinia, Yaghoobi, Tabatabaee, Chandna, Jalali* — Multimodal Lotus Effect Algorithm — Engineering Reports 7(4):e70137 (2025). DOI: 10.1002/eng2.70137
     
  • Ahmadzadeh, Jalali*, Ghaemi, Kheirabadi — GraphDBSCAN: Optimized DBSCAN for Noise-Resistant Community Detection — Future Internet 17:150 (2025). DOI: 10.3390/fi17040150
     
  • Nokhodchian, Moattar, Jalali — SGRiT (NMF via Subspace Graph Regularization) — Machine Learning & Knowledge Extraction 7:25 (2025). DOI: 10.3390/make7010025
     
  • Orth, Höfer, Nefedov, Jalali, Wöll, Reischl — ML-Based XPS Quantification — Current Directions in Biomedical Engineering 10(4):482–485 (2024). DOI: 10.1515/cdbme-2024-2118
     
  • Jalali*, Luo, Caulfield, Sauter, Nefedov, Wöll — Large Language Models in Electronic Laboratory Notebooks — Materials Today Communications 40:109801 (2024). DOI: 10.1016/j.mtcomm.2024.109801
     
  • Feriz, Jalali*, Forghani — Jellyfish-Enhanced CNN-LSTM for Pandemic Modeling — Concurrency & Computation: Practice & Experience (2024). DOI: forthcoming
     
  • Jalali*, Wonanke, Wöll — MOFGalaxyNet: GCN for Predicting Guest Accessibility in MOFs — Journal of Cheminformatics 15:94 (2023). DOI: 10.1186/s13321-023-00764-2
     
  • Dalirinia, Jalali*, Yaghoobi et al. — Lotus Effect Optimization Algorithm (LEA) — Journal of Supercomputing (2024). DOI: 10.1007/s11227-023-05513-8
     
  • Jalali*, Mail, Aversa, Kübel — MSLE: An Ontology for Materials Science Laboratory Equipment — Materials Today Communications 35:105532 (2023). DOI: 10.1016/j.mtcomm.2023.105532
     
  • Safavi, Jalali*, Houshmand — Deep-Learning POI Recommendation (Review) — Electronics 11(13):1998 (2022). DOI: 10.3390/electronics11131998
     
  • Safavi, Jalali* — DeePOF: Hybrid CNN + Friendship for POI — Concurrency & Computation 34(15):e6981 (2022). DOI: 10.1002/cpe.6981
     
  • Nia, Jalali* — RecMem: Time-Aware Recommenders via Memetic Evolution — Computational Intelligence & Neuroscience (2022). DOI: 10.1155/2022/4135142
     
  • Jalali, Tsotsalas, Wöll — MOFSocialNet: Social Network Analysis for MOFs — Nanomaterials 12(4):704 (2022). DOI: 10.3390/nano12040704
     
  • Nia, Jalali*, Mail, Ivanisenko, Kübel — ML for Community Detection in a High-Entropy Alloy Network — ACS Omega 7(15):12978–12992 (2022). DOI: 10.1021/acsomega.2c00317
     
  • Nia, Jalali*, Houshmand — Graph-Based k-Nearest Neighbor for Predicting Phases in High-Entropy Alloys — Applied Sciences 12(16):8021 (2022). DOI: 10.3390/app12168021
     
  • Tahmasbi, Jalali*, Shakeri — TSCMF: Temporal & Social Collective Matrix Factorization — Journal of Intelligent Information Systems 56:169–187 (2021). DOI: 10.1007/s10844-020-00613-w
     
  • Tahmasbi, Jalali*, Shakeri — Coupled Tensor Factorization — Journal of Ambient Intelligence & Humanized Computing 12:9693–9712 (2021). DOI: 10.1007/s12652-020-02807-8
     
  • Shahidi, Shakeri, Jalali — Semantic Malware Detection via GMDH — Computers & Electrical Engineering 91:107099 (2021). DOI: 10.1016/j.compeleceng.2021.107099
     
  • Safavi, Jalali* — RecPOID: Friendship-Aware POI Recommendation with Deep CNN — Future Internet 13(3):79 (2021). DOI: 10.3390/fi13030079
     
  • Ravakhah, Jalali*, Forghani, Sheibani — Balanced Hierarchical Max-Margin Matrix Factorization — Expert Systems (2021). DOI: 10.1111/exsy.12722
     
  • Vazifehdan, Moattar, Jalali* — Hybrid Bayesian Networks + Tensor Factorization for Missing Data — Journal of King Saud University – Computer & Information Sciences 31(2):175–184 (2019). DOI: 10.1016/j.jksuci.2017.01.003
     
  • Nobahari, Jalali*, Mahdavi — ISoTrustSeq: Implicit Interest, Trust & Sequential Behavior for Social Recommendation — Journal of Intelligent Information Systems 52:239–268 (2019). DOI: 10.1007/s10844-018-0513-8
     
  • Barati, Jalali*, Forghani — Alternating Optimization for Penalized Regression-Based Clustering — Expert Systems 36(6):e12462 (2019). DOI: 10.1111/exsy.12462
     
  • Moosavi, Jalali*, Misaghian, Shamshirband, Anisi — Community Detection via Frequent Pattern Mining — Knowledge & Information Systems 51:159–186 (2017). DOI: 10.1007/s10115-016-0970-8
     
  • Mahboob, Jalali*, Jahan, Barekati — Swallow: Resource & Tag Recommender via Heat Diffusion — Computational Intelligence 33(1):99–118 (2017). DOI: 10.1111/coin.12064
     
  • Jalali, Mustapha, Sulaiman, Mamat — WebPUM: Predicting User Future Movements (Web Usage Mining) — Expert Systems with Applications 37(9):6201–6212 (2010). DOI: 10.1016/j.eswa.2010.02.105