Anil Bandhakavi

Director of AI Solutions and Research at Logically - Tackling mis/disinformation using AI and Expert Intelligence

Anil Bandhakavi is the Director of AI Solutions and Research at Logically, a company focused on tackling misinformation and disinformation using artificial intelligence and expert intelligence. Here are some key details about Anil Bandhakavi:

Background and Expertise

He has a Ph.D. in Natural Language Processing (NLP) and over 10 years of experience in artificial intelligence.2 3
His areas of expertise include natural language processing, computer vision, responsible and trustworthy AI, and human-in-the-loop AI.1
Anil has a strong academic background in mathematics, physics, chemistry, and computer science.

Professional Experience

He joined Logically in 2018 to lead the development of AI solutions for the company's tools and products.2
At Logically, he heads the data science and machine learning operations.2 3
Prior to Logically, he conducted research at Robert Gordon University and IBM Research in NLP, contributing to advances in emotion/sentiment analysis, information retrieval, and recommendation systems.
He also gained experience in text mining and social media analytics as an intern and data scientist at Sentisum.

Research and Publications

Anil has published numerous academic papers, with his most cited work focusing on lexicon-based approaches for emotion text classification and emotion detection from text.1
His research has been recognized with awards, including the Best Paper Award at the International Conference on Natural Language Processing (ICON-2018).

Philosophy and Approach

Anil believes strongly in extended intelligence, combining artificial and human intelligence to create impactful and interpretable solutions to societal problems.2 3
He is passionate about translating the latest AI research into actionable insights for businesses.

Anil Bandhakavi's work at Logically focuses on developing AI solutions to combat misinformation and disinformation, leveraging his expertise in NLP, machine learning, and deep learning to improve fact-checking and news verification services.