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  • Manas Gaur, Ugur Kursuncu, Amit Sheth, Ruwan Wickramarachchi, and Shweta Yadav. “Knowledge-infused Deep Learning.” 31st ACM Conference on Hypertext and Social Media HT’20.
  • Nirmal Sivaraman, Manas Gaur, Shivansh Baijal, Radha Sai Rupesh Ch V, Sakthi Muthiah and Amit Sheth. “Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India.” Health Day at 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’20). Preprint Soon
  • Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit Sheth and I. Budak Arpinar. “ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter.” 12th International Conference on Social Informatics (SocInfo20) (**Acceptance Rate 33%). Preprint Soon
  • Arachie, Chidubem, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes. “Unsupervised Detection of Sub-events in Large Scale Disasters.” 34th AAAI Conference on Arti cial Intelligence 2020. New York City, New York (*Acceptance Rate 20%) ( Equal Contribution)AAAI-20.
  • Kursuncu, Ugur, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, and Amit Sheth. “Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate.” 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing 2019. Austin, Texas (**Acceptance Rate 26%) CSCW-19.
  • Gaur, Manas, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randon S. Welton and Jyotishman Pathak. “Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention.” The 30th World Wide Web Conference 2019. San Francisco, California (**Acceptance Rate 16.5%) WWW-19.
  • Gaur, Manas, Ugur Kursuncu, Amanuel Alambo, Amit Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan,and Jyotishman Pathak. “Let Me Tell You About Your Mental Health! Contextualized Classi cation of Reddit Posts to DSM-5 for Web-based Intervention.” In Proceedings of the 27th ACM CIKM, Turin Italy, 2018 (**Acceptance Rate 17%) CIKM-18.
  • Bhatt, Shreyansh, Manas Gaur, Beth Bullemer, Valerie L. Shalin, Amit P. Sheth, and Brandon Minnery, “Enhancing crowd wisdom using explainable diversity inferred from social media”, In Proceedings of International Conference on Web Intelligence, Santiago, Chile, 2018 (**Acceptance Rate 28%) Web-Intelligence-18
  • Kursuncu, Ugur, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit Sheth, and I. Budak Arpinar. “What’s ur type? Contextualized Classi cation of User Types in Marijuana-related Communications using Compositional Multiview Embedding.” In Proceedings of International Conference on Web Intelligence, Santiago Chile, 2018 (**Acceptance Rate 28%) Web-Intelligence-18
  • Han, Qiwei; Martinez, Inigo; Ji, Mengxin; Gaur, Manas; Zejnilovic, Leid, “Matchmaking between Patients and Doctors in Primary Care: Toward a Trusting Relationship.” 5th IEEE Data Science and Advanced Analytics Conference, Turin, Italy, 2018 (**Acceptance Rate 18%). IEEE-DSAAMedia Coverage
  • Gaur, Manas, Shruti Goel, and Eshaan Jain. “Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management.” 2nd IEEE International Conference on Computing for Sustainable Global Development, Delhi, India, 2015. IEEE-Indiacom

Journals and Book Chapters

  • Kursuncu U, Gaur M, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Arpinar B. “Predictive Analysis on Twitter: Techniques and Applications.” In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer-Nature; 2018. SpringerNature
  • Wijeratne, S., Sheth, A., Bhatt, S., Balasuriya, L., Al-Olimat, H.S., Gaur, M., Yazdavar, A., and Thirunarayan K., “Feature Engineering for Twitter-based Applications”, In Feature Engineering for Machine Learning and Data Analytics Book: Taylor and Francis; 2017. Taylor&Francis
  • Gaur, Manas. “Genetically Modi ed Logistic Regression with Radial Basis Function for Robust Software E ort Prediction.” Machine Intelligence and Signal Processing. Springer India, 2016. IJCA
  • Goel, Shruti, Manas Gaur, and Eshaan Jain. “Nature inspired algorithms in remote sensing image classi cation.” Procedia Computer Science, 2015. Elsevier


  • Gyrard, Amelie, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, and Amit Sheth. “Personal- ized Health Knowledge Graph”. In 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference 2018. ISWC-18

Symposiums and Poster

  • Kursuncu Ugur, Manas Gaur, Amit Sheth. “Knowledge infused learning (K-IL): Towards deep incorporation of knowledge in deep learning.” In Proc. AAAI Spring Symposium, Combining Machine Learning and Knowledge Engineering in Practice, Stanford University, California, 2020, (*Equal Contribution).AAAI-20-MAKE
  • Han, Qiwei, IMR Troya, Mengxin Ji, Manas Gaur, and Leid Zejnilovic. “A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship.” In 6th IEEE International Conference on Healthcare Informatics, NY, USA, 2018. ICHI-2018
  • Zejnilovic, Leid, Han, Qiwei, Martinez, Inigo, Ji, Mengxin, Gaur, Manas, “Intelligent Doctor-Patient Matching: Building Long-lasting Relationship In Primary Care.” Demo in R&D Management Conference, Milan, 2018.
  • Alambo, Amanuel, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit Sheth, “Personalized Prediction of Suicidal Risk for Web-based Intervention.” 24th Mental Health Services Research Conference, NIMH, Bethesda, Maryland, 2018. NIMH-2018


  • Organizing KE4IoT (Healthcare and Internet of Things) Challenge at WWW-2018. Organizing Committee: Amelie Gyrard, Mihaela Juganaru-Mathieu, Dr.Amit Sheth, Swati Padhee. WWW-2018-Challenge