Workshop Opening Remarks by Archana Ramakrishnan 2.00 to 2.05 pm
Keynote: 2.05 pm to 3 pm
Title: AI meets Blockchain – Opportunities and Challenges
Speaker: Dr. Manish Gupta
Speaker Bio: Dr. Manish Gupta is a co-founder and CEO of VideoKen, a video technology startup, and the Infosys Foundation Chair Professor at IIIT Bangalore. Previously, Manish has served as Vice President and Director of Xerox Research Centre India and has held various leadership positions with IBM, including that of Director, IBM Research – India and Chief Technologist, IBM India/South Asia. As a Senior Manager at the IBM T.J. Watson Research Center in Yorktown Heights, New York, Manish led the team developing system software for the Blue Gene/L supercomputer. IBM was awarded a National Medal of Technology and Innovation for Blue Gene by US President Barack Obama in 2009. Manish holds a Ph.D. in Computer Science from the University of Illinois at Urbana Champaign. He has co-authored about 75 papers, with more than 7,000 citations in Google Scholar, and has been granted 19 US patents. While at IBM, Manish received two Outstanding Technical Achievement Awards, an Outstanding Innovation Award, and the Lou Gerstner Team Award for Client Excellence. Manish is a Fellow of ACM and the Indian National Academy of Engineering, and a recipient of a Distinguished Alumnus Award from IIT Delhi.
Research Papers Presentation: 3 pm to 6 pm
1. Title: Blended Learning – Assimilating Authentic Data into Deep Learning Models (3.00 pm to 3.30 pm)
Speaker: Saichand Akella
Speaker Bio: Mr. Saichand Akella is currently pursuing his M.Tech in Computer Science from the Sri Sathya Sai Institute of Higher Learning, Prashanti Nilayam, India. He has worked on a project, implementing Conformal Prediction technique for Validating Classifiers on a number of data sets. Saichand is currently working on the “Scalability of Blockchain” by developing Efficient Distributed Consensus. He is also very keen on developing methods for “Consensus by Sampling” and “Consensus by Learning”. Saichand is also active in developing “Blended Learning” – that is to make Blockchain and Deep Learning work in tandem to develop efficient, robust and resilient interactive systems. Saichand is also deeply interested in Indian Culture and Spirituality, trying to understand Spirituality through Indian Dance Forms.
2. Title: Privacy Preserving in Blockchain through Partial Homomorphic Encryption System (3.30 pm to 4.00 pm)
Speaker: Sharath Yaji and Kajal Bangera
Speaker Bio: Sharath Yaji received his B.E, M.Tech in Computer Science and Engineering from Visveshwaraya Technological University, Belgavi. Karnataka. India. He has industry and teaching experience. He is currently a full-time Ph.D. candidate at NMAM Institute of Technology, Nitte, Karnataka, India. His research interest includes Data Privacy and Security. He is a lifetime member of ISTE and Asian Privacy Scholars Network (APSN), a professional member of International Association of Privacy Professionals (I A P P), a student member of USENIX, ACM, and IEEE. Kajal Bangera is currently pursuing her Ph.D. at Department of Computer Science and Engineering at NMAM Institute of Technology, Nitte, Karnataka, India. She has completed her B.Tech and M.Tech from VTU. Her research interest includes security for IoT, Information-Centric Networking and cryptography.
3. Title: Smart Contracts for Multiagent Plan Execution in Untrusted Cyber-physical Systems (4pm to 4.30 pm)
Speaker: Anshu Shukla
Speaker Bio: Anshu Shukla is a Researcher at Ericsson Research, Bangalore, India. He has a Masters degree in Distributed Systems from the Computational and Data Science department (CDS) at the Indian Institute of Science (IISc), Bangalore. For his thesis, he worked with Prof. Yogesh Simmhan on distributed stream processing systems for handling fast data in IoT-like data architectures. Anshu’s current research explores abstractions, algorithms, and applications on distributed systems, spanning Cloud computing, Blockchain and software architectures for large-scale applications.
4. Title: DInEMMo: Decentralized Incentivization for Enterprise Marketplace Models (5pm to 5.30 pm)
Speaker: Avantika Gupta
Speaker Bio: Avantika has 4 years of experience in software research and development. 7+ patents and publications at top tier conferences. Worked in the transportation, transaction processing, healthcare and public safety domains. Areas of interest includes Blockchain technology, data analytics and distributed systems.
CALL FOR PAPERS (CLOSED)
Artificial Intelligence and Blockchain have been making rapid technological advances independently. As these two technologies mature and become part of real life deployments, research focus is turning to synergizing these two technologies for novel applications and addressing the short comings of each of these individual technologies.
Due to the risks associated with centralized AI, decentralized blockchain mechanism is being leveraged, for data and model sharing across non-trusted entities to enable truly autonomous AI. Blockchain is seen as the way forward to establish provenance on training/testing data & models and to improve the trustworthiness of the data & models in AI deployments. AI systems are turning to blockchain’s verifiability and transparency capabilities to ensure clear and transparent audit trails for data sources and models. Recent advances in AI such as federated learning, algorithms for fairness in AI decision making are adding momentum to this synergy of AI and blockchain. Monetization of data and models are getting facilitated by the emergence of AI marketplaces leading to true decentralization of AI. Decentralized Autonomous Organizations (DAO) and smart contracts facilitate machine to machine AI interactions, leading to truly autonomous AI. We invite papers focusing on the synergy between AI and block chain.
We invite submissions of high-quality, novel, and original research results. Topics of interest include but not limited to the following:
· Using decentralized blockchain for data sharing of AI applications
· Blockchain based data management systems for AI/Analytics.
· Leveraging AI for addressing energy consumption issues in blockchain
· Model sharing and AI Marketplaces using blockchain
· Smart contracts for AI
· Federated Machine Learning
· Traceable Machine Learning using blockchain
· Homomorphic encryption and multi-party computation
· Challenges in AI-Blockchain synergy
· Decentralized Autonomous Organizations & AI
· Novel applications of AI and Blockchain synergy
Submitted papers can be of any of the following types:
• Regular Research Papers: These papers should report original research results. They should be at most eight pages.
• Application Papers: These papers will present novel applications focussing on the synergy of AI and blockchain. They should be at most eight pages.
• Position Papers: The extended abstracts will present novel research directions or identify challenging problems. They should be at most eight pages.
• Case Studies: The extended abstracts will present case studies from real-life experiences of developing/deploying AI-Blockchain applications and/or challenges/issues faced. They should be at most eight pages.
Submitted manuscripts should be structured as technical papers and may not exceed eight (8) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details:
Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper.
Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference.
Presentation of an accepted paper at the workshop is a requirement of publication. Any paper that is not presented at the conference will not be included in proceedings.
Coming soon …..
Easy Chair link: https://easychair.org/conferences/?conf=aimb2018
September 9, 2018 September 16, 2018 September 30, 2018: Extended Abstract/Paper Submission deadline
September 26, 2018 October 10, 2018: Author Notification
October 3, 2018 October 20, 2018 October 29, 2018: Camera Ready Paper Submission deadline
Archana Ramakrishnan, Conduent Labs India
Sandya Mannarswamy, Conduent Labs India
Program Committee Members
Vedire, Ritheesh, Conduent Labs
Manamohan Satyanarayanan, Hewlett Packard Enterprise
Krishnaprasad Narayanan, Conduent Labs
Dinkar Sitaram, PES University
Krupa Bathia, IIM Ahmedabad
Shourya Roy, American Express
Manjira Sinha, Accenture
Ashwini Marathe, Conduent Labs
Pankaj Dayama, IBM Research
Neeta Pande, Morgan Stanley
Suparna Bhattacharya, Hewlett Packard Enterprise
Praphul Chandra, Koin Earth
Rahul Ghosh, American Express
Sharanya Eswaran, Play Games 24×7
Senthil Nathan, IBM India Research Lab
Sumit Bose, IBM Innovation Pte Ltd, Singapore
Avantika Gupta, Conduent Labs