Call for submissions will open soon.

ACM India Joint International Conference on
Data Science & Management of Data

7th ACM IKDD CoDS and 25th COMAD

5-7 January 2020, Hyderabad, India

The ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2020 (7th ACM IKDD CoDS and 25th COMAD), will be held in Hyderabad, India on January 5-7, 2020.

For over two decades, the International Conference on Management of Data (COMAD), modelled along the lines of ACM SIGMOD, has been the premier international database conference hosted in India by Division II of Computer Society of India. The first COMAD was held in 1989, and it has been held on a nearly annual basis since then (except for a few breaks such as in the years when VLDB and ICDE were held in India). COMAD has always had a significant international participation, with about 30% of the papers being from outside India, including Europe, USA and East/South-East Asia. These two conferences came together for the first time in 2018. This year again, we are bringing together the two related communities closer under a common umbrella.

Conference on Data Sciences (CoDS) encompasses the areas of data analytics, machine learning and managing big data. IKDD shall work with ACM to ensure co-sponsorship and publication of the proceedings of CoDS in the ACM digital library.

Topics of Interest


Transaction processing, query processing, query optimisation, indexing and storage, distributed data platforms, RDBMS, NoSQL systems, key-value stores, big data systems, data cleansing, data analytics, data integration, benchmarking, tuning and testing.

Data Science

Classification and regression, parallel and distributed learning, semi- and unsupervised learning, matrix and tensor methods, graph mining, network analytics, reinforcement learning, feature engineering, deep learning, Bayesian methods, time series analysis, optimization, graphical models, relational models, text analytics and NLP, information retrieval, knowledge representation, knowledge-based systems, human-in-the-loop learning,  planning and reasoning.


Social network analysis, recommender systems, online advertising, bioinformatics, computational neuroscience, systems biology, multimedia processing, crowdsourcing, education, agriculture, healthcare, robotics and autonomous systems, analytics on sensor networks and IoT, computer vision, surveillance/monitoring and anomaly detection in networked systems, urban computing, and technology for emerging markets.

Important Dates

Will be announced shortly.