AI for Social Good:

[1] Multimodal mental health analysis in social media, PLOS ONE 2020
Keywords: Computational Social Science, Statsitical Analyusis, Hypothesis testing, Explainable Machine learning, Inference, Hypothesis Testing, Multi-modal Analysis, Data Visualization, ML, NLP, Statistical analysis, Mental Health, Regression, ANOVA, Correlation, Hypothesis Testing, Image processing, Facial Analysis

[2] Contextual Tensor Fusion Model for Multimodal Mental Health Analysis.
Keywords: Graph Convolutions Neural network, Multi-modal Analysis, Contextual Embedding, Deep Neural Network, Computational Social Science, Statistical analysis, Social Network Analysis

[3] Geography of depression: Where in U.S. people are showing depressive behavior? Keywords: Graph Convolutional Neural Network, Language Modeling, Text classification, Location inference, Correlation analysis, Big data, Elastic Search

[4] Semi-supervised approach to monitoring clinical depressive symptoms in social media (ASONAM 2017, Acceptance Rate: 13%) Keywords: Semi-supervised machine learning, Topic Modeling, Lexicon-based approach, Multi-label classification, Generative Models, Temporal Social Media Analysis

[5] Mental Health Analysis Via Social Media Data, IEEE ICHI 2018

Twitris 3.0- Sentiment Analysis for Analyzing Presidential Election:
Challenges of sentiment analysis for dynamic events. Develop state-of-the-art deep /machine learning to monitor/study user’s sentiment during US 2016 presidential election.


Relatedness-based Multi-Entity Summarization (IJCAI 2017). Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng, Acceptance Rate: 26.0%

Fuzzy Based Implicit Sentiment Analysis on Quantitative Sentences, Amir Hossein Yazdavar, Monireh Ebrahimi, Naomie Salim, Journal of Soft Computing and Decision Support Systems.

Recognition of Side Effects as Implicit-OpinionWords in Drug Reviews, Monireh Ebrahimi, Amir Hossein Yazdavar, Naomie Salim, Safaa Eltyeb, Online Information Review, IF: 1.15.

Rock strength estimation: a PSO-based BP approach, E. Tonnizam Mohamad, D. Jahed Armaghani, E. Momeni, Amir Hossein Yazdavar, Monireh Ebrahimi, Journal of Neural Computing and Applications, IF: 1.49.

Analytical Modeling and Simulation of IV Characteristics in Carbon Nano tube based Gas Sensors using ANN and SVR Methods, Elnaz Akbari, Zolka- fle Buntat, Aria Enze- vaee, Monireh Ebrahimi, Amir Hossein Yazdavar, Rubiyah Yusof, Chemometrics and Intelligent Laboratory Systems, IF: 2.32.

Transmission of Data with OFDM Technique for Communication Networks Using GHz Frequency Band Soliton Carrier, Iraj Sadegh Amiri, Monireh Ebrahimi, Amir Hossein Yazdavar, S. Ghorbani, S. E. Alavi, Sevia M. Idrus , J. Ali, IET Communications Journal(IEEE), IF: 0.74.