Pankaj Gupta

PhD candidate with a research focus on Computational Linguistics. I am particularly interested in Deep Learning methods to challenge Natural Language Processing (NLP) problems. Advised by: Prof. Hinrich Schütze (LMU) and Dr. Bernt Andrassy(Siemens AG, Munich)

Machine Learning, NLP, Deep learning, Information retrieval, slot filling, relation classification, Topic Modeling and document/text classification, Document Processing, Auto-segmentation, lexical chains analysis, Document Layout Analysis.

Research in Domain Adaptation, Transfer learning, Deep learning in Vision and medical domains. Winner (Ranked 1st Worldwide) of Machine Learning sub-Challenge : Prostate Cancer DREAM Challenge: https://www.synapse.org/#!Synapse:syn2813558/wiki/235078 Our Methodology, experiments and results: https://www.synapse.org/#!Synapse:syn3647478/wiki/234331

C, Data Structures, Algorithms, Programming, Telecom Network physical and MAC layer Protocols implementations

Worked in Telecom domain as C/Java, Unix Developer. Sound knowledge of C, Data Structures, Algorithms, Programming.

Organized the AIEPIC-international Level contest and headed all Campus Ambassadors in UP state colleges

Queen’s India Welcome Scheme (QIWS) scholarship student, Sited as Indian Future Research Leader by Queen’s University Belfast UK Undergoing Projects •Auto Text Summarization implementing statistical Natural Language Processing Techniques - Supervisor: Prof. Philip Hanna • Evidence Accumulation Evidence - Knowledge and Data Engineering: Supervisor: Prof. David Bell Received PhD offer from ECIT department at Queen's University Belfast UK.

Worked in the department of R&D at Arriys Infosoft Pvt. Ltd. India as Trainee Engineer

Deep Learning, Natural Language Processing, Neural Networks, Machine Learning, Knowledge Graphs, Topic Models, Information Extraction, Temporal Corpus Analysis, Slot Filling.

Machine learning, Deep learning, data mining, distributed systems, parallel programming, Machine learning for computer vision, Information retrieval in High dimensional data, Scientific data visualization, neural networks.

Algorithms, Data Structures, Artificial Intelligence, C, C++ programming.