Rajiv Ratn Shah

Assistant Professor
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rajivratnobfuscate@iiitd.ac.in

Rajiv Ratn Shah currently works as an Assistant Professor in the Department of Computer Science and Engineering (joint appointment with the Department of Human-centered Design) at IIIT-Delhi. He is the founder of MIDAS lab at IIIT-Delhi. He received his Ph.D. in computer science from the National University of Singapore, Singapore. Before joining IIIT-Delhi, he worked as a Research Fellow in Living Analytics Research Center (LARC) at the Singapore Management University, Singapore. Prior to completing his Ph.D., he received his M.Tech. and M.C.A. degrees in Computer Applications from the Delhi Technological University, Delhi and Jawaharlal Nehru University, Delhi, respectively. He has also received his B.Sc. in Mathematics (Honors) from the Banaras Hindu University, Varanasi. Dr. Shah is the recipient of several awards, including the prestigious Heidelberg Laureate Forum (HLF) and European Research Consortium for Informatics and Mathematics (ERCIM) fellowships. He has also received the best paper award in the IWGS workshop at the ACM SIGSPATIAL conference 2016, San Francisco, USA and was runner-up in the Grand Challenge competition of ACM International Conference on Multimedia 2015, Brisbane, Austraila. He is involved in organizing and reviewing of many top-tier international conferences and journals. Recently, he has organized a workshop on Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) in the conjunction of the first IEEE MIPR 2018 conference. His research interests include multimedia content processing, natural language processing, image processing, multimodal computing, data science, social media computing, and the internet of things.

Specifically, his current research interests include:

  • Multimodal deep learning based healthcare solutions

  • Multimodal fake news detection using deep learning techniques

  • Multimodal semantic and sentiment analysis of user-generated social media content

  • Event detection and recommendation on social media

  • Multimodal multimedia search, retrieval, and recommendation

  • Deep learning based multimedia systems

Papers

Did you offend me? Classification of Offensive Tweets in Hinglish Language

Identification of Emergency Blood Donation Request on Twitter

Exploring and Learning Suicidal Ideation Connotations in Social Media with DL

Neural Machine Translation for English-Tamil

Mind Your Language: Abuse and Offense Detection for Code-Switched Languages

DeepLip: Speaker Independent Speech Synthesis using Multi-View Lipreading

Lipper: Synthesizing Thy Speech using Multi-View Lipreading

Exploring Classification of Histological Disease Bio-markers from Renal Biopsy Images

Kiki Kills: Identifying Dangerous Challenge Videos from Social Media

Harnessing AI for Speech Reconstruction using Multi-view Silent Video Feed

Learning and Fusing Multimodal Deep Features for Acoustic Scene Categorization

Detecting Offensive Tweets in Hindi-English Code-Switched Language

Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings

Aspect-Based Financial Sentiment Analysis using Deep Learning

Did you take the #pill? - Detecting Personal Intake of Medicine from Twitter

Feature-based Map Matching for Low-Sampling-Rate GPS Trajectories

Geometry-based Localization for GPS Outage in Vehicular Cyber Physical Systems

FastShrinkage: Perceptually-aware Retargeting Toward Mobile Platforms

Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things