CFP: CODS-COMAD 2018 (Submission deadline extended to 22nd Aug, 2017)
ksharma.raj
“Please consider contributing papers to the CoDS-COMAD 2018 and/or distribute to your colleagues/students who might be interested. THANK YOU!”
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Call for Papers (Deadline extended to 22nd August, 2017)
The ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2018
5th ACM iKDD CoDS and 23rd COMAD
11-13th January, 2018
http://cods-comad.in/2018/index.html
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
We are pleased to announce the ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD) 2018 (5th ACM iKDD CoDS and 23rd COMAD), to be held in Goa University on 11-13th January, 2018. This conference builds on the long history of COMAD and CODS conferences towards bringing together the two related communities closer under a common umbrella.
For over two decades, the International Conference on Management of Data (COMAD), modeled 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.
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
We invite papers reporting original research in all aspects of Data Science and Databases. Topics of interest include, but are not limited to:
· Databases
Transaction processing, query processing, indexing and storage, distributed data platforms, key value stores, big data systems, data cleaning, data analytics, and 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, reinforcement learning, dimensionality reduction, deep learning, Bayesian methods, time series analysis, optimization, and graphical models.
· Applications
Text analytics and NLP, information retrieval, social network analysis, recommender systems, online advertising, bioinformatics, computational neuroscience, systems biology, multimedia processing, crowdsourcing, education, robotics, anomaly detection of storage and networked systems, urban computing, technology for emerging markets.
· Case Studies
For the conference’s industry track we invite papers reporting descriptions of deployments of database and science solutions in industry and government that address real-world challenges and highlight new and important research directions for data science. These case studies could be drawn from areas such as, but not limited to, education, transportation, real-estate, manufacturing, finance, retail, healthcare, e-commerce, telecommunications, social media, law, public policy, and computational advertising.
IMPORTANT DATES
- SUBMISSION DATE 15th
Aug, 2017 22nd Aug, 2017
- NOTIFICATION DATE 15th Oct, 2017
- CAMERA READY 1ST Nov, 2017
ARCHIVAL AND NON-ARCHIVAL
Accepted papers will be presented either as an oral talk or as a poster at the conference. The proceedings will be published in ACM Digital Library. Additionally, authors of selected papers will have the choice to opt their paper out of the conference proceedings. This will enable the paper presented at CoDS-COMAD to be resubmitted at a different future venue.
SUBMISSION FORMAT
The submissions should not exceed 10 pages of content plus unlimited references and should be formatted in the standard ACM style available at https://www.acm.org/publications/proceedings-template . The submissions should be made via Easychair at: https://easychair.org/conferences/?conf=codscomad2018
DUAL SUBMISSION POLICY
CoDS-COMAD does not allow dual submission, violating papers will be rejected immediately without review.
ORGANIZING COMMITTEE
General Chairs
- Niloy Ganguly, IIT Kharagpur
- Raghu Ramakrishnan, Microsoft
Program Chairs
- Sunita Sarawagi, IIT Bombay
- Shourya Roy, American Express Big Data Labs
Organizing Chair
- Venkatesh V. Kamat, Goa University
Tutorial Chairs
- Arnab Bhattacharya, IIT Kanpur
- Vaibhav Rajan, Videoken
Demo Chair
- Mitesh Khapra, IIT Madras
Proceedings Chair
- Sayan Ranu, IIT Delhi
Industry Track Chairs
- Prasad Deshpande,Kena Labs
- Mayur Datar, Flipkart
Publicity Chair
- Raj Sharma, Videoken
- Mahashweta Das, Visa Research
Finance Chair
- Chandrashekhar Sahasrabuddhe, PSPL
Sponsorship Chair
- Balaraman Ravindran, IIT Madras
Graduate Workshop Chairs
- Pawan Goyal, IIT Kharagpur
- Amit Awekar, IIT Guwahati
Website Chair
- Amrith Krishna, IIT Kharagpur
- Bhuthesh R, Indian Institute of Science
Program Committee
- Aditya Telang, American Express
- Akshar Kaul, IBM Research
- Amitabha Bagchi, IIT Delhi
- Anil Kumar Vullikanti, Virginia Tech
- Animesh Mukherjee, IIT Kharagpur
- Anirban Dasgupta, IIT Gandhinagar
- Anoop Cherian, The Australian National University
- Anshuman Dutt, MSR
- Anush Sankaran, IBM Research
- Arijit Biswas, Amazon
- Arnab Bhattacharya, IIT Kanpur
- Arun Rajkumar, Conduent Labs
- Balaji Vasan Srinivasan, Adobe Research
- Balamurali A R, Acalvio
- C V Jawahar, IIIT-Hyderabad
- Debapriyo Majumdar, ISI Kolkata
- Dinesh Garg, IIT Gandhinagar
- Diptikalyan Saha, IBM Research
- Durga Toshniwal, IIT Roorkee
- Ganesh Ramakrishnan, IIT Bombay
- Gautam Shroff, TCS
- Himanshu Bhatt, American Express
- Himanshu Gupta, IBM Research
- Indrajit Bhattacharya, TCS
- Jayadeva, IIT Delhi
- Kamalakar Karlapalem, IIIT-Hyderabad
- Karin Murthy, IBM Research
- Karthik Sankaranarayanan, IBM Research
- Krishna Reddy Polepalli, IIIT-Hyderabad
- Lavanya Tekumalla, Amazon
- Liang Hu, UTS
- Lini Thomas, IIIT-Hyderabad
- Maleq Khan, Virginia Tech
- Manish Singh, Microsoft
- Manjira Sinha, Conduent Labs
- Maunendra Sankar Desarkar, IIT Hyderabad
- Medha Atre, IIT Kanpur
- Mitesh M Khapra, IIT Madras
- Narayanan Unny, Conduent Labs
- Niraj Kumar, Phenom People
- Niranjan Balasubramanian, Stony Brook University
- Niyati Chhaya, Adobe Research
- P Sreenivasa Kumar, IIT Madras
- P.K. Srijith, IIT Hyderabad
- Pabitra Mitra, IIT Kharagpur
- Partha Talukdar, IISc
- Pawan Goyal, IIT Kharagpur
- Piyush Rai, IIT Kanpur
- Pramod Kompalli, Flipkart
- Pratik Jawanpuria, Amazon
- Purushottam Kar, IIT Kanpur
- Ramasuri Narayanam, IBM Research
- Raymond Ng, University of British Columbia
- Ritwik Sinha, Adobe Research
- Rohith D Vallam, IBM Research
- S. Sudarshan, IIT Bombay
- Sakethanath Jagarlapudi, IIT Bombay
- Samarth Bharadwaj, IBM Research
- Sambuddha Roy
- Sandipan Dandapat, Microsoft
- Saptarshi Ghosh, IIT Kharagpur
- Sathya Peri, IIT Hyderabad
- Satyanarayana R Valluri, EPFL
- Senjuti Basu Roy, New Jersey Institute of Technology
- Shantanu Godbole, IBM Research
- Shivali Agarwal, IBM Research
- Snigdha Chaturvedi, UIUC
- Sourangshu Bhattacharya, IIT Kharagpur
- Srikanta Bedathur, IBM Research
- Srinath Srinivasa, IIIT-Bangalore
- Sudeepa Roy, Duke University
- Tanmoy Chakraborty, IIIT-Delhi
- Thomas Lukasiewicz, University of Oxford
- Tirthankar Dasgupta, TCS
- Tushar Khot, University Of Wisconsin-Madison
- Vaibhav Rajan, VideoKen
- Vasudeva Varma, IIIT-Hyderabad
- Vijay Gabale, Huew
- Vikram Goyal, IIIT-Delhi
- Vinay Namboodiri, IIT Kanpur
- Wei Lu, Rupert Labs Inc