Naushad Uzzaman

CTO/Co-Founder

BLACKBIRDAI

Jun 2017 - Current (9 years 1 month)

Blackbird.AI, a global leader in Narrative & Risk intelligence, delivers advanced AI-powered solutions in its mission to empower trust, safety and integrity across the information ecosystem. The Blackbird Constellation Platform™ powers the detection and analysis of information-driven attacks and evolving threats in a dynamic adversarial environment. Its purpose-built and patent-pending technology offers high fidelity detection and automated decision-making, leading to reduced complexity and faster resolution times. Blackbird was recognized by Forrester as a "Top Threat Intelligence Company" and provides mission critical solutions for public and private customers globally. For additional information, please visit: www.blackbird.ai

Senior Research Scientist

Nuance Communications

Jul 2012 - Oct 2019 (7 years 4 months)

Department: R&D - NLP Research Groups: NLU Core Architecture, Data Mining, LM & Auto (Cerence)

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Research Intern

Yahoo Research

May 2011 - Aug 2011 (4 months)

I explored the use of social media for game prediction. Our system reliably extracted predictions from tweets, identified the predictive power of individual users, ranked predictions and aggregated them to find the most likely outcome of upcoming games. We evaluated our results on the 2010 FIFA World Cup tournament using a corpus of over 1.8 billion tweets containing over hundred-fifty thousand predictions. A key benefit of our system is that it does not rely on domain dependent knowledge for prediction, rather extracts people's predictions from social media. As a result, the framework can be used to predict the outcome of other sport events, elections, product release dates and any other future events discussed in the social media.

Research Intern

Microsoft

Jun 2009 - Aug 2009 (3 months)

I implemented an Information Extraction tool that can learn different patterns from user's examples and extract the pattern instances from natural language texts in medical documents, e.g. release notes, radiology reports, etc. For pattern matching, I used the medical ontology (UMLS) to understand medical patterns like diseases, medicines, etc. and other general language features. My implemented tool was shared with the clinical staff at Washington Hospital Center and they found it useful.

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Research Intern

Robert Bosch Corporation Research and Technology Center

May 2008 - Aug 2008 (4 months)

• In-Car Dialog System: I developed a syntactic and semantic grammar for a commercial in-car dialog system. It was very similar to the famous iPhone's dialog assistant Siri. My work was in navigation, local business and MP3 domain. • Data Mining Projects: I worked on a large scale data mining problem for KDD cup 2008: Breast Cancer Detection. I experimented with different machine learning techniques, e.g. Support Vector Machine (SVM), Decision Tree, KNN, Bayes Net, Neural Network, etc. Finally built the system using SVM and also implemented the Feature Selection technique to improve the performance and reduce the computation time. Additionally, I worked on a recommendation system for Netflix contest.

Graduate Assistant

University of Rochester

Sep 2007 - Jul 2012 (4 years 11 months)

Temporal Information Extraction: We implemented hybrid systems with linguistically motivated solutions and machine learning classifiers for extracting temporal information from raw text. Temporal Evaluation: We proposed a new method for evaluating systems that extract temporal information from text. Temporal Question Answering: We proposed a temporal QA system performing temporal reasoning and show how it can be used to evaluate automated temporal information understanding. Creating 500K word corpus with temporal annotation and organizing TempEval-3: We automatically annotated a 500K word corpus from news domain by merging system outputs and human-reviewing a portion of it. We organized TempEval-3 with that corpus. Multimodal Summari

Graduate Student

University of Rochester

Sep 2007 - Jul 2012 (4 years 11 months)

Graduate Student, Department of Computer Science

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Co-Instructor

CSE Department BRAC University

Jan 2007 - May 2007 (5 months)

Co-Instructor (Laboratory Instructor), Natural Language Processing • Designed and instructed Natural Language Processing courses lab module (50% of the course) • Supervised and designed the course projects for the lab Also: January 2006 to May 2006

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Research Programmer

Center for Research on Bangla Language Processing BRAC University

Jun 2005 - Jun 2007 (2 years 1 month)

• Conducted research on Bangla language processing and implemented the research output. Published five papers and released three toolkits based on this work. • Supervised undergraduate students and collaborated with them in different research projects. This led to collaboration on six papers with seven undergraduate students.

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Intern Research Programmer

Center for Research on Bangla Language Processing BRAC University

Jan 2005 - May 2007 (2 years 5 months)

• Conducted research on Bangla language processing and implemented the research output

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Teaching Assistant

CSE Department BRAC University

Sep 2004 - Dec 2004 (4 months)

• Tutored Programming Language I (C) and Data Structure courses • Conducted tutoring on an individual and group basis • Helped students to understand the materials and improve their grades Also: January 2004 to May 2004 and September 2003 to December 2003

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