Collaborations including students, colleagues, supervisors, etc.
[PhD Students]
Yatin Chaudhary (April 2019-Present)
Research Focus: Representation Learning, Topic Modeling, Neural Composite Modeling, etc.
[Master Students]
Research Focus: Federated Continual Learning for Natural Language Processing
[Former PhD Students]
Usama Yaseen (Mar 2019-Aug 2020)
Research Focus: Information Extraction, Entity-relation extraction, bootstrapping, etc.
[Former Master Students]
Khushbu Saxena (Master Thesis, 2019-2020)
Master Thesis: Combining BERT and Topic Models for Document Classification
Yatin Chaudhary (Master Thesis, 2018-2019)
Master Thesis: Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers
Subburam Rajaram (Master Thesis and Inter-disciplinary project, 2015-2016)
Master Thesis: Neural Architectures for Relation Extraction Within and Across Sentence Boundaries in Natural Language Text
[Former Interns]
Usama Yaseen (Master Intern, 2017)
[My Academic Advisor / Supervisor / Industry Colleagues]
PhD supervisor: Prof. Hinrich Schütze (University of Munich, LMU)
PhD Industrial Advisor: Dr. Bernt Andrassy (Siemens AG, Munich)
PhD Thesis committee: (Assoc.) Prof. Dr. Ivan Titov (University of Edinburgh, UK), (Assoc.) Prof. Dr. William Wang (University of California, Santa Barbara USA), Prof. Dr. Volker Tresp (LMU, Munich Germany), Prof. Dr. Matthias Schubert (LMU, Munich Germany)
Research collaborations with Prof. Thomas Runkler, (TUM and Siemens, Germany) Dr. Benjamin Roth, (LMU, Germany) Prof. Ngoc Thang Vu (Univ. of Stuttgart, Germany), Dr. Ulli Waltinger (Siemens, Germany), Dr. Sebastian Pölsterl (TUM, Germany), Prof. Nassir Navab (TUM, Germany), Prof. Philip Hanna (Queen's University, Belfast UK)
PhD research internship at IBM Research Zurich with Dr. Angela Fahrni and Dr. Abdel Labbi
Master Thesis committee: Prof. Thomas Runkler (TUM and Siemens, Munich), Dr. Heike Adel (LMU, Germany), Dr. Bernt Andrassy (Siemens, Munich), Dr. Hans-Georg Zimmermann (Siemens, Munich), and Prof. Hinrich Schütze (LMU, Germany)
[External Collaborations]
Nina Poerner (LMU, Germany), Costanza Conforti (University of Cambridge, UK)
[Funded Projects]
Smart Data Web (SDW), a BMWi funded project with Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (Konsortialführung), Beuth Hochschule für Technik Berlin, uberMetrics Technologies GmbH, Universität Leipzig, VICO Research & Consulting GmbH
Our Contribution(s): Publications, Developed AI-driven Slot-filling / Information extraction pipeline for Knowledge Graph Construction / Population.
Platform for Analytical Supply Chain Management Services (PLASS), a BMWi funded project with Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (Konsortialführung), Beuth Hochschule für Technik Berlin, uberMetrics Technologies GmbH, Universität Leipzig, etc.
Our Contribution(s): Publications, Industrial Technology and Supplier Extraction, reading WWW, build ontologies for Industrial Technologies used in Supply Chain Intelligence and Knowledge Graph Construction / Population. Deep Learning AI-based end-to-end pipeline in extracting relevant industrial knowledge from WWW.
I am always open to collaborate with renowned research groups in NLP/Deep Learning, and often looking for good Master and PhD students. Please write me, if interested.