Organizing session titled "Current and Future Trends of Knowledge Graph Representation and Reasoning" in 3rd U.S. Semantic Technologies Symposium 2020 @Raleigh, NC

Present a Tutorial titled "Location Extraction and Georeferencing in Social Media" in ISCRAM 2018@Rochester,NY

Program Committee: BioNLP, ACL 2019, AMIA 2019, Grace Hopper 2018

External Reviewer: WWW2018, ICWSM 2018, ICWSM 2016, IEEE Big Data 2016, WWW2017, IEEE BigData 2017, International Conference on Applications of Natural Language to Information Systems, NLDB 2016

Recognized Reviewer: Applied Soft Computing (2014-present)

Invited Talks/Poster presentation:

[1] Invited Talk: Understanding clinical depressive symptoms in social media NLP seminar/Information science Institute-ISI)
[2] Poster presentation: Identifying Depressive Disorder in the Twitter Population Goonmeet Bajaj, Amir Hossein Yazdavar, T.K. Prasad, Amit Sheth, Wright Brothers Conference at Wright State University, Dayton, OH, USA. October, 2017.

[3] Poster presentation: Analyzing Clinical Depressive Symptoms in Twitter, Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth, Conference on Mental Health Services Research: Harnessing Science to Strengthen the Public Health Impact (MHSR 2016)
[4] Poster presentation: Analyzing Depression via Social Media, Amir Hossein Yazdavar, Big Data Surveillance Analytics Conference at Wright State University, Dayton, OH, USA. October, 2016.


[1] Mohammad Saeid Mahdavinejad (Master student) (Master with Thesis, Now Ph.D. candidate in Computer Science, Isfahan University) for a project Analyzing user’s demographic on Twitter, 2016
[2] Goonmeet Bajaj (Undergrad Senior) for a project on Measuring Gender-Based Violence Attitude on Twitter, Summer 2016
Grant Writing:

[1] Explaining How Background Knowledge Improves Deep Learning, 2019
NIH R01 Social determinant of Health NIMH R01 Renewal, Significant Contribution, 2019
[2] NIH R01 Supplementary on Modeling Social Behavior Depression, Awarded, Role: Significant Contribution, 2018
[3] Prestigious FRGS grant awarded from Malaysia government for Implicit Opinion Mining Model for Drug Effectiveness and Side Effect Recognition in Medical Reviews. (Vote no: R.J130000.7828.4F373, RM81000), Role- Significant Contribution, 2013


Email: yazdavar[at]gmail[dot]com

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About Data Semantics (DaSe) Laboratory

Data Semantics (DaSe) Laboratory is research lab undertaking research in applied and theoretical topics in the broad areas of Artificial Intelligence and/or Data Science. It brings together researchers from Kansas State University, and industry in the pursuit of knowledge and applications related to artificial intelligence and data science Kansas State University that performs world-class research on translating information to meaning.

Postal Address

2224 Engineering Hall 1701D Platt St. Manhattan, KS 66506 USA