Nature-Inspired Machine Learning (NIMI)

PhD Supervisor

Nature-Inspired Machine Learning (NIMI)

Principal Scientist, Amazon AGI (Artificial General Intelligence)

Honorary Professor at TU Dresden
Member of InfAI

Prof. Dr. Jens Lehmann is a Principal Scientist at Amazon where he works at the AGI (Artificial General Intelligence) organisation on advancing large language models, conversational AI and knowledge graphs. He also holds an honorary professorship at TU Dresden, was selected as a fellow of ELLIS and is a member of  InfAI. His academic activities at TU Dresden and InfAI support the Smart Data Analytics research group. Previously, he was jointly appointed full professor at the University of Bonn and Fraunhofer IAIS leading approximately 40 researchers. In this role, he was a lead scientist at Fraunhofer IAIS and coordinated the Dresden branch of the institute. His research interests involve knowledge graphs, machine learning as well as question answering & dialogue systems. His main research goal is to investigate and build generally intelligent systems by combining knowledge- and data-driven approaches. Prof. Lehmann authored more than 200 articles in international journals and conferences winning 15 best paper awards and obtaining more than 25000 citations and h-index 60+. He is a supporter and contributor to community research projects, including DBpedia, DL-Learner and LinkedGeoData. Previously, he led the AKSW research group and completed his PhD with „summa cum laude“ at the University of Leipzig with visits to the University of Oxford.

41 entries « 1 of 9 »

2025

Amouzouvi, Kossi; Chudasama, Yashrajsinh; Purohit, Disha; Rivas, Ariam; Song, Bowen; Lehmann, Jens; Vahdati, Sahar; Vidal, Maria-Esther

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations Journal Article

In: IEEE Access, vol. 13, pp. 74701–74719, 2025.

BibTeX | Links:

Jurkschat, Lena; Gattogi, Preetam; Vahdati, Sahar; Lehmann, Jens

BALI - A Benchmark for Accelerated Language Model Inference Journal Article

In: IEEE Access, vol. 13, pp. 98976–98989, 2025.

BibTeX | Links:

Dudhe, Prathmesh; Li, Jason; Yousuf, Muhammad Hamza; Lehmann, Jens; Vahdati, Sahar

ICU Mechanical Ventilation Data Imputation Proceedings Article

In: Maglogiannis, Ilias; Iliadis, Lazaros S.; Andreou, Andreas; Papaleonidas, Antonios (Ed.): Artificial Intelligence Applications and Innovations - 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part III, pp. 140–154, Springer, 2025.

BibTeX | Links:

Yousuf, Muhammad Hamza; Li, Jason; Vahdati, Sahar; Theilen, Raphael; Wittenstein, Jakob; Lehmann, Jens

IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards Journal Article

In: CoRR, vol. abs/2506.14375, 2025.

BibTeX | Links:

2024

Amouzouvi, Kossi; Vahdati, Sahar; Song, Bowen; Bainson, Bernard O.; Nishat, Nur A. Zarin; Lehmann, Jens

A Study of LFT Embeddings in the Second Order Clifford Algebra Cl(R(^2),º) Journal Article

In: IEEE Access, vol. 12, pp. 187741–187755, 2024.

BibTeX | Links:

41 entries « 1 of 9 »

Prof. Dr. Jens Lehmann

PhD Supervisor

Nature-Inspired Machine Learning (NIMI)

Principal Scientist, Amazon AGI (Artificial General Intelligence)

Honorary Professor at TU Dresden
Member of InfAI

Prof. Dr. Jens Lehmann is a Principal Scientist at Amazon where he works at the AGI (Artificial General Intelligence) organisation on advancing large language models, conversational AI and knowledge graphs. He also holds an honorary professorship at TU Dresden, was selected as a fellow of ELLIS and is a member of  InfAI. His academic activities at TU Dresden and InfAI support the Smart Data Analytics research group. Previously, he was jointly appointed full professor at the University of Bonn and Fraunhofer IAIS leading approximately 40 researchers. In this role, he was a lead scientist at Fraunhofer IAIS and coordinated the Dresden branch of the institute. His research interests involve knowledge graphs, machine learning as well as question answering & dialogue systems. His main research goal is to investigate and build generally intelligent systems by combining knowledge- and data-driven approaches. Prof. Lehmann authored more than 200 articles in international journals and conferences winning 15 best paper awards and obtaining more than 25000 citations and h-index 60+. He is a supporter and contributor to community research projects, including DBpedia, DL-Learner and LinkedGeoData. Previously, he led the AKSW research group and completed his PhD with „summa cum laude“ at the University of Leipzig with visits to the University of Oxford.

41 entries « 1 of 9 »

2025

Amouzouvi, Kossi; Chudasama, Yashrajsinh; Purohit, Disha; Rivas, Ariam; Song, Bowen; Lehmann, Jens; Vahdati, Sahar; Vidal, Maria-Esther

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations Journal Article

In: IEEE Access, vol. 13, pp. 74701–74719, 2025.

BibTeX | Links:

Jurkschat, Lena; Gattogi, Preetam; Vahdati, Sahar; Lehmann, Jens

BALI - A Benchmark for Accelerated Language Model Inference Journal Article

In: IEEE Access, vol. 13, pp. 98976–98989, 2025.

BibTeX | Links:

Dudhe, Prathmesh; Li, Jason; Yousuf, Muhammad Hamza; Lehmann, Jens; Vahdati, Sahar

ICU Mechanical Ventilation Data Imputation Proceedings Article

In: Maglogiannis, Ilias; Iliadis, Lazaros S.; Andreou, Andreas; Papaleonidas, Antonios (Ed.): Artificial Intelligence Applications and Innovations - 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part III, pp. 140–154, Springer, 2025.

BibTeX | Links:

Yousuf, Muhammad Hamza; Li, Jason; Vahdati, Sahar; Theilen, Raphael; Wittenstein, Jakob; Lehmann, Jens

IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards Journal Article

In: CoRR, vol. abs/2506.14375, 2025.

BibTeX | Links:

2024

Amouzouvi, Kossi; Vahdati, Sahar; Song, Bowen; Bainson, Bernard O.; Nishat, Nur A. Zarin; Lehmann, Jens

A Study of LFT Embeddings in the Second Order Clifford Algebra Cl(R(^2),º) Journal Article

In: IEEE Access, vol. 12, pp. 187741–187755, 2024.

BibTeX | Links:

41 entries « 1 of 9 »

Publications

PhD Supervisor

Nature-Inspired Machine Learning (NIMI)

Principal Scientist, Amazon AGI (Artificial General Intelligence)

Honorary Professor at TU Dresden
Member of InfAI

Prof. Dr. Jens Lehmann is a Principal Scientist at Amazon where he works at the AGI (Artificial General Intelligence) organisation on advancing large language models, conversational AI and knowledge graphs. He also holds an honorary professorship at TU Dresden, was selected as a fellow of ELLIS and is a member of  InfAI. His academic activities at TU Dresden and InfAI support the Smart Data Analytics research group. Previously, he was jointly appointed full professor at the University of Bonn and Fraunhofer IAIS leading approximately 40 researchers. In this role, he was a lead scientist at Fraunhofer IAIS and coordinated the Dresden branch of the institute. His research interests involve knowledge graphs, machine learning as well as question answering & dialogue systems. His main research goal is to investigate and build generally intelligent systems by combining knowledge- and data-driven approaches. Prof. Lehmann authored more than 200 articles in international journals and conferences winning 15 best paper awards and obtaining more than 25000 citations and h-index 60+. He is a supporter and contributor to community research projects, including DBpedia, DL-Learner and LinkedGeoData. Previously, he led the AKSW research group and completed his PhD with „summa cum laude“ at the University of Leipzig with visits to the University of Oxford.

41 entries « 1 of 9 »

2025

Amouzouvi, Kossi; Chudasama, Yashrajsinh; Purohit, Disha; Rivas, Ariam; Song, Bowen; Lehmann, Jens; Vahdati, Sahar; Vidal, Maria-Esther

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations Journal Article

In: IEEE Access, vol. 13, pp. 74701–74719, 2025.

BibTeX | Links:

Jurkschat, Lena; Gattogi, Preetam; Vahdati, Sahar; Lehmann, Jens

BALI - A Benchmark for Accelerated Language Model Inference Journal Article

In: IEEE Access, vol. 13, pp. 98976–98989, 2025.

BibTeX | Links:

Dudhe, Prathmesh; Li, Jason; Yousuf, Muhammad Hamza; Lehmann, Jens; Vahdati, Sahar

ICU Mechanical Ventilation Data Imputation Proceedings Article

In: Maglogiannis, Ilias; Iliadis, Lazaros S.; Andreou, Andreas; Papaleonidas, Antonios (Ed.): Artificial Intelligence Applications and Innovations - 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part III, pp. 140–154, Springer, 2025.

BibTeX | Links:

Yousuf, Muhammad Hamza; Li, Jason; Vahdati, Sahar; Theilen, Raphael; Wittenstein, Jakob; Lehmann, Jens

IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards Journal Article

In: CoRR, vol. abs/2506.14375, 2025.

BibTeX | Links:

2024

Amouzouvi, Kossi; Vahdati, Sahar; Song, Bowen; Bainson, Bernard O.; Nishat, Nur A. Zarin; Lehmann, Jens

A Study of LFT Embeddings in the Second Order Clifford Algebra Cl(R(^2),º) Journal Article

In: IEEE Access, vol. 12, pp. 187741–187755, 2024.

BibTeX | Links:

41 entries « 1 of 9 »

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