News/Recent Activities

News/Recent Activities

• [2023] Speaker  at MLCon2023 Berlin on OpenFLaaS: Germany's answer to AI Sovereignty for Industrial Knowledge Digitalization 

• [2023] Speaker  at MLCon2023 Berlin on Human-like Lifelong Learning in Every AI Machine? 

• [2023] Program Committee Member / Reviewer for ICLR2024 conference

• [2023] Program Committee Member / Reviewer for AAAI 2024 conference

• [2023] Program Committee Member / Reviewer for Continual AI Un - Conference (CLAI) 2023 

• [2023] Conference Senior Reviewer / Program Committee Member for the Conference on Lifelong Learning Agents (CoLLAs) 2023 

• [Sept 2023] Speaker at 53rd annual conference of the German Informatics Society (Informatics 2023 Festival) Berlin in workshop "Shaping the future sustainably through digitized value-added processes (DigiWe)"

• [Sept 2023] Keynote speaker at "International Conference on Data Science, AI and Analytics: Bridging the Gap Between Theory and Practices (ICDSAIA-2023)" Malaysia 

• [Jun 2023] Speaker at MLCON2023 Munich on "Human-like Lifelong Learning in AI Machines for Tender-Requirement Analysis and Business Intelligence"

• [May 2023] Keynote speaker at The Munich Product Conference 2023 Product Network Europe in panel of Chief Product Officers and Senior Product Leaders

• [May 2023] Leading and Moderating the OpenFLaaS project kickoff meeting with consortium, funding parties and Federal Ministry for Economic Affairs and Climate Action

• [Mar 2023] Speaking at Digital Technology Forum at the kick-off of OpenFLaaS research project funded by Federal Ministry for Economic Affairs and Climate Action

• [Mar 2023] Senior Program committee member at Conference on Lifelong Learning Agents CoLLAs 2023

• [Nov 2022] Speaking at Digital Technology Forum at the closing of PLASS research project funded by Federal Ministry for Economic Affairs and Climate Action

• [Nov 2022] Teaching Deep Learning and AI for Master Course in Data Science at LMU, Germany

• [Oct 2022] PC member for #ICLR2023: Paper review 5x for #ICLR2023 in areas of AI / ML / NLP/ Federated Learning / Continual Learning

• [Oct 2022] PC member for #AAAI2023: Paper review 6x for #AAAI2023 in areas of AI / ML / NLP 

• [Oct 2022] Paper accepted at EMNLP 2022 (findings) on Federated Continual Learning #title: "Federated Continual Learning for Text Classification via Selective Inter-client Transfer"

• [Aug 2022] DRIMCo (lead by Dr. Pankaj Gupta) wins a joint research project- OpenFLaaS in a funding competition by the Federal Ministry for Economic Affairs and Climate Action (BMWK)

• [Mar 2022] Nominated Senior Program committee member at Conference on Lifelong Learning Agents CoLLAs 2022

• [Jul2021] Paper reviewing for #NeurIPS2021 in areas of AI/ML/NLP/Probabilistic Modeling 

• [Mar2021] 4x paper reviewing in Lifelong Continual Learning and Federated Learning areas 

• [Mar2021] A paper accepted in NAACL2020 conference proceedings (title: "Multi-source Neural Topic Modeling in Multi-view Embedding Spaces")

• [Mar2021]  Nominated as "Expert Reviewer" for #ICML2021 (the topmost AI Conference)

• [Oct 2020] Awarded the top 10% High-scoring reviewers by #NeurIPS2020 (the topmost AI Conference)

• [Sept 2020] Our paper ("TopicBERT for Energy Efficient Document Classification")  accepted at EMNLP2020 (findings) 

• [30 July 2020] Reviewing 6x papers for EMNLP 2020 conference

• [24 July 2020] Reviewing 3x papers for NeurIPS 2020 conference

• [16-17 July 2020] Giving talks at ICML2020 for our two papers: ("Neural Topic Modeling with Continual Lifelong Learning " and "Explainable and Discourse Topic-aware Neural Language Understanding ") 

• [25 June 2020] Started Entrepreneurship (Co-founder, CTO and Chief Scientist) at DRIMCo GmbH, Munich Germany  

• [22 June 2020] Left Job at Siemens AG

• [01 Jun, 2019] Accepted #2 ICML papers ("Neural Topic Modeling with Continual Lifelong Learning " and "Explainable and Discourse Topic-aware Neural Language Understanding ")

• [06 Dec, 2019] Giving an invited talk about "Neural Representation Learning Beyond Sentence Boundaries (for Information Extraction and Topic Modeling)" at NLPMeetup Zurich Switzerland. Recorded Talk

• [04 Dec, 2019] Offering a 3-hour Honorary Lecture about "Representation and Distributional Learning" at LMU, Germany 

• [20 Nov, 2019] Offering a 3-hour Honorary Lecture about "Recurrent Neural Networks" at LMU, Germany 

• [04 Nov, 2019]  Presenting (Poster/Talks) @EMNLP2019 our solutions of Shared Tasks about NER, Relation Extraction, Information Retrieval and Propaganda Detection

• [08 Oct, 2019]  Giving an invited talk about "Neural Representation Learning Beyond Sentence Boundaries" at NLPMeetup Munich Germany

• [26 Sept, 2019]  Defended my PhD thesis (title: Neural Information Extraction from Natural Language Text),  Examination Committee:  Dr. Ivan Titov and Dr. William Yang Wang. [Awesome pics] 

• [05 Sept, 2019] Our submissions (Team: MIC-CIS) rank 3rd (out of 12 participants) in fragment level and 4th (out of 25 participants) in sentence level propaganda detection shared tasks at NLP4IF workshop (EMNLP2019). solution -paper

• [05 Aug, 2019]  Winning (1st ranked, Team: MIC-CIS) the Bacteria Biotope Benchmark: Entity Extraction  + Normalization  task at BioNLP-OST workshop (EMNLP2019)

• [23 July, 2019]  Winning (1st ranked, Team: MIC-CIS) the SeeDev benchmark: Relation/Event Extraction shared task at BioNLP-OST workshop (EMNLP2019)

• [28 June, 2019] Winning (1st ranked) the RDoC-IR (task-1) shared task at BioNLP workshop (EMNLP2019) on Information Retrieval and Extraction on Mental Health

• [28 June, 2019] Winning (1st ranked) the RDoC-IE (task-2) shared task at BioNLP workshop (EMNLP2019) on Information Retrieval and Extraction on Mental Health  

• [05 June, 2019] Giving a talk: "Improved Neural Topic Modeling with Language Structures and Transfer Learning" at 3rd German-French Summer School on Transfer learning, Passau, Germany

• [May, 2019] Submitting Doctoral Dissertation (~PhD thesis: Neural Information Extraction from Natural Language Text) at Faculty of Mathematics, Informatics and Statistics LMU Munich

• [09 May, 2019] Presenting poster of our paper ("textTOvec") at ICLR-2019 conference proceedings at New Orleans, USA

• [25 Mar, 2019]  Giving an invited Talk: "Neural NLP Models of Information Extraction" at Google AI, New York  City

• [Mar-April, 2019]  TWO awesome candidates (Usama Yaseen and Yatin Chaudhary) starting  their PhD @Siemens, advised by me

• [Jan 30, 2019] TWO oral talks ("iDocNADEe" and "iDepNN") and TWO posters ("iDocNADEe" and "iDepNN") presented at AAAI-2019 at Honolulu, Hawaii USA

• [Jan, 2019] 2nd Patent published. Title: "Method and system for automatic discovery of topics and trends over time " (No: EP 3432155)

• [Nov 29, 2018] Offering guest lecture about "Representation and Distributional Learning" at LMU, Germany 

• [Nov 24, 2018] One long paper ("textTOvec") accepted in ICLR-2019 conference. Acceptance rate: 31.4% (500/1591)  

• [Nov 14, 2018] Offering guest lecture about "Recurrent Neural Networks" at LMU, Germany 

• [Oct 31, 2018] TWO long papers ("iDocNADEe" and "iDepNN") accepted in AAAI-2019 conference. Acceptance rate: 16.2% (1150/7095) 

• [Oct 31, 2018] Poster presentation for our paper ("LISA") at EMNLP-2018 BlackBoxNLP workshop at Brussels, Belgium

• [Aug 19, 2018] Oral talk for our paper ("Replicated Siamese LSTM") delivered at COLING-2018 at New Mexico, USA

• [Jun 07, 2018] 1st Patent published. Title: "Device and Method for Natural Language Processing" (No: US 15/498517)

• [Jun 01, 2018] TWO oral talks ("RNN-RSM" and "JBM") delivered at NAACL-HLT-2018 at New Orleans, USA. Talk1 Talk2

• [Feb 14, 2018] TWO long papers ("RNN-RSM" and "JBM") accepted in NAACL HLT-2018 conference. Acceptance rate: 32.0% (207/647) 

• [Mar-Oct, 2017] Paper rejections. Working on scientific writings, advised by Prof. Hinrich Schütze and Dr. Florian Büttner 

• [Sep 25-27, 2017] Attending Google's 2nd Natural Language Processing Summit at Google Zurich, Switzerland

• [May, 2017] Reviewing papers for EMNLP-2017 

• [May, 2017] Pitching/Invited Talk at Young Research Forum at Siemens AG

• [Dec 11-16, 2016] Oral talk for our paper ("TF-MTRNN") delivered at COLING-2016 at New Mexico, USA

• [Oct 2016-Jan 2017] PhD research internship at IBM Research Zurich 

• [Sept 20, 2016] One long paper ("TF-MTRNN") accepted in COLING-2016 conference. Acceptance rate: 32.4% (337/1039) 

• [March, 2016] One short paper ("Ranking-RNN") accepted in ICASSP-2016 conference. Acceptance rate: 47.0% (1265/2682) 

• [March, 2016] One short paper accepted in NAACL HLT-2016 conference. Acceptance Rate: 28.9% (82/284) 

• [Dec 2015] Starting PhD, advised by Prof. Hinrich Schütze at University of Munich (LMU) and Research Group Machine Intelligence at Siemens AG

• [Nov 2015] Submitting Master Thesis titled: "Deep Learning Methods for the Extraction of Relations in Natural Language Text " supervised by Prof. Thomas Runkler, Dr. Heike Adel, Dr. Bernt Andrassy, Dr. Hans-Georg Zimmermann, and Prof. Hinrich Schütze