National Conference on Artificial Intelligence, Blockchain, Cyber Security & Data Science

Multidimensional Perspectives: From Statistical Learning to Data Science Applications

28 -29 June 2023

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PROGRAM OBJECTIVES
Aims to bring together researchers from academic and industrial institutions and engineers who work in these fields from various locations to discuss new directions, developments, and findings in the field of Artificial Intelligence, Blockchain, Cyber Security & Data Science. This conference will be an ideal platform for the experts and young researchers to dispense their research findings in the area of Artificial Intelligence, Blockchain, Cyber Security & Data Science
RESOURCE PERSONS
Eminent speakers from academic institutions as well as renowned specialists and domain experts from leading software industries and R & D organizations will deliver special lectures on the mentioned fields.
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About the Conference

The ABCD 2023 Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices. Conference panel discussions and invited presentations identify significant social, philosophical, and economic issues influencing AI’s development throughout the world.

The ABCD 2023 Conference on Blockchain is devoted to: promoting the investigation of next-generation blockchain and DLT technologies; exploring the latest ideas, innovations, guidelines, theories, models, technologies, applications and tools of blockchain/DLT combined with other cutting-edge technologies; and identifying critical issues and challenges that researchers and practitioners must deal with in future research.

The ABCD 2023 Conference on Cyber Security provides an opportunity for leaders in cybersecurity from the academic, analytic, operations, research, corporate, and law enforcement arenas to come together and coordinate their efforts, creating a more secure cyber- space. The conference provides a unique opportunity for attendees to learn about the latest trends and developments in the field and to gain insights into emerging technologies and techniques.

The ABCD 2023 Conference on Data Science brings together data scientists, researchers, practitioners, and industry experts to discuss emerging trends, share research findings, and collaborate on interdisciplinary projects related to data science and statistics. The conference covers various topics, including machine learning, big data analytics, statistical modeling, data ethics, and more. It provides a valuable forum for advancing the field and addressing complex data analysis and interpretation challenges and to learn about the latest techniques, tools, and strategies for leveraging data to drive business outcomes.


About the Conference

The ABCD 2023 Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices. Conference panel discussions and invited presentations identify significant social, philosophical, and economic issues influencing AI’s development throughout the world.

The ABCD 2023 Conference on Blockchain is devoted to: promoting the investigation of next-generation blockchain and DLT technologies; exploring the latest ideas, innovations, guidelines, theories, models, technologies, applications and tools of blockchain/DLT combined with other cutting-edge technologies; and identifying critical issues and challenges that researchers and practitioners must deal with in future research.

The ABCD 2023 Conference on Cyber Security provides an opportunity for leaders in cybersecurity from the academic, analytic, operations, research, corporate, and law enforcement arenas to come together and coordinate their efforts, creating a more secure cyber- space. The conference provides a unique opportunity for attendees to learn about the latest trends and developments in the field and to gain insights into emerging technologies and techniques.

The ABCD 2023 Conference on Data Science brings together data scientists, researchers, practitioners, and industry experts to discuss emerging trends, share research findings, and collaborate on interdisciplinary projects related to data science and statistics. The conference covers various topics, including machine learning, big data analytics, statistical modeling, data ethics, and more. It provides a valuable forum for advancing the field and addressing complex data analysis and interpretation challenges and to learn about the latest techniques, tools, and strategies for leveraging data to drive business outcomes.


Committee

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Call for Papers

The Scientific Program Committee of the ICDS20023 invites to submit proposals for Invited Paper Sessions, Contributed Abstracts and Posters in all areas of statistical learning and data science:

Artificial Intelligence

  • AI Algorithms
  • Artificial Intelligence tools & Applications
  • Automatic Control
  • Bioinformatics
  • Natural Language Processing
  • CAD Design & Testing
  • Computer Vision and Speech Understanding
  • Data Mining and Machine Learning Tools
  • Fuzzy Logic
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Hybrid Intelligent Systems
  • Knowledge Representation
  • Knowledge-based Systems
  • Mechatronics
  • Multimedia & Cognitive Informatics
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  • Robotics
  • Semantic Web Techniques and Technologies
  • Soft computing theory and applications
  • Software & Hardware Architectures
  • Information Retrieval
  • Intelligent System Architectures

Blockchain

  • Blockchain and artificial intelligence
  • Blockchain and game theory
  • Blockchain and industry 4.0
  • Blockchain in the Internet of things (IoT)
  • Blockchain in cyber physical systems
  • Blockchain in social networking
  • Blockchain in supply chain management
  • Blockchain in agriculture
  • Blockchain in connected and autonomous vehicles
  • Blockchain in crowdsourcing and crowdsensing
  • Blockchain in mobile cellular networks
  • Blockchain in edge and cloud computing
  • Blockchain in next generation communications and networks
  • Attacks and vulnerabilities of blockchain
  • Blockchain scalability and performance optimization
  • Theories of blockchain and distributed ledger technology
  • Distributed consensus and fault tolerance mechanisms
  • Decentralization, scalability, and security tradeoff
  • Performance, Scalability Issues
  • Distributed Database Technologies for Blockchain
  • Blockchain Interoperability and Cross-chain mechanisms
  • Blockchain Platforms
  • Blockchain social media platforms/tokens
  • Blockchain and Cryptocurrency
  • Applications and services based on blockchain
  • Protocols and algorithms based on blockchain

Cyber Security

  • Database Security
  • Big Data Techniques in Cyber Security
  • Digital Signature Techniques
  • Forensic Analysis of Cyber Crimes
  • Secure User Authentication
  • Spam Protection
  • Advance Persistent Threat
  • Secret Sharing
  • Key Management
  • Security in Mobile Networks
  • Hardware Security
  • Cloud Security
  • Cyber Physical System
  • Network Protocols
  • Next-generation Communication Networks
  • Mobile & Ubiquitous Communication Networks
  • Mobile Cloud
  • Cloud and Systems Management
  • Cloud Computing and Networking
  • Internet Technologies
  • Information-Centric Networking
  • Big Data Communication and Analytics
  • Data Network Management

Data Science

  • Multivariate analysis
  • Nonparametric statistics
  • Spatial statistics
  • Robust statistics
  • Extreme value theory
  • Time series analysis
  • Multi-block methods
  • High-dimensional data analysis
  • Latent variable models
  • Symbolic data analysis
  • Compositional data analysis
  • Functional data analysis
  • Censored data analysis
  • Fuzzy data analysis
  • Bayesian analysis
  • Biostatistics and biocomputing
  • Statistical signal processing
  • Text processing
  • Big data analysis
  • Data visualization
  • Machine learning
  • Artificial intelligence
  • Deep learning
  • Resampling methods
  • Numerical analysis in computational statistics
  • Optimization methods in computational statistics
  • Data structure and complex data
  • Parallel computing for data science applications
  • Data Science Techniques and Applications
  • Data Warehousing and Data Mining
  • Disaster Management
  • Social Network Analysis
  • Text, Audio and Video data Analysis
  • Motion Planning
  • Decision-making
  • Data mining in Dynamic Environment
  • Hybrid Computing
  • Big Data Analytics
  • Digital Marketing and Ecommerce

Complete information can be found here.

Important Dates

Last date for submission of full paper

June 22, 2023

Notification for acceptance

June 23, 2023

Last date for Registration

June 25, 2023

Submission

Authors are requested to submit Invited Paper Sessions (IPS), Contributed Abstracts (CA) or Posters in the Online Platform.

Call for Papers: ABCD 2023 Conference

High-quality full-length papers in all ABCD 2023 areas are solicited. Authors are expected to ensure that their final manuscripts are original and are not appearing in other publications. Papers should be limited to 6 pages and submitted in single column format.

All submissions will be handled electronically. Participants desirous of presenting their work pertaining to the theme may submit the papers to the following email address:

Email: abcd2023.svu@gmail.com

All the delegates must register in advance for participation in this Conference. The registration form can be submitted directly http://abcd2023svu.com/ or downloaded and filled in form along with the payment slip drawn in favor of “The Organizing Secretary, ABCD2023” payable at Tirupati on or before 25 June 2023 to the below address by Registered Post / Speed Post

Registration

The registration fee includes participation in the workshops and conference sessions, coffee breaks, welcome reception. If you register as a student, please send a copy of your student card to abcd2023.svu@gmail.com. The conference registration will be available. soon.

PG students/Research Scholars

₹1500

Faculty/Scientist


₹ 2000

Industry/NGO


₹ 2500

Foreign participants


$100

Program

Coming soon!

Workshops and Tutorials

Coming soon!

ABOUT SRI VENKATESWARA UNIVERSITY

Sri Venkateswara University was established in 1954, in Tirupati to cater the educational needs and aspirations of people of the Rayalaseema Region of Andhra Pradesh. After completing 68 years of excellence in teaching, research, extension and outreach activities, the University is committed to cater the needs of higher education offering a full range of post-graduate programs in Arts, Sciences, Law, Management, Education, Physical Education, Engineering and Pharmacy disciplines. From a humble beginning of one College with six departments, the University has now grown into the second largest University in Andhra Pradesh having five constituent Colleges Viz. College of Arts, College of Sciences, College of Commerce, Management & Computer Science, College of Pharmacy, and College of Engineering accommodating 52 departments offering 88 programs. The University has made rapid strides in the field of higher education and research and is adjudged as one of the best Universities in the country and got Accredited ‘A+’ grade by NAAC-2017 and Accredited ‘A’ grade by NAAC-2023.

ABOUT DEPARTMENT

The Department of Computer Science was established in 1985 and has been a pioneering academic center for higher education, research, and innovation in core areas of computer science and applications. In 2003, it became a separate department after bifurcation from the College of Engineering. Over the years, it has gained recognition and is ranked among the best in the university, providing world-class education and research experience to its students.

The department is recognized under the Special Assistance Programme (SAP) by the University Grants Commission and has been awarded grants for research projects. It has also received funding through DST-FIST for infrastructure development. The department's researchers are actively involved in cutting-edge research, contributing to publications and citations in their respective domains.

The department's alumni include renowned academicians, leaders in the computer and IT industry, distinguished scientists, and successful entrepreneurs. Currently, the department offers two PG level professional programs, M.Sc. (CS) and MCA, along with two research-oriented programs. These interdisciplinary programs include computer science subjects as well as mathematics, statistics, management, and commerce.

The courses offered by the department cater to the requirements of both the industry and research domains. The curriculum is designed to train students in software development, as well as the design and development of computing systems. Faculty members are actively involved in teaching, curriculum development, and implementation across various departments, including subjects like Zoology, Biotechnology, Geography, Microbiology, Bioinformatics, and more.


Conference Venue:
College of Commerce, Management & Computer Science

Sri Venkateswara University College has been a premiere institution for higher learning, research, extension and consultancy. It is a constituent campus college of Sri Venkateswara University..

Department of Computer Science has efficient and technical qualified faculty who continuously updating their knowledge as per requirement of present world technology and forwarding the fruitful knowledge to the students. The department is consistently achieving more than 99% results in all the courses offered. Along with education our students are participating in the development of projects as per the needs of various departments in the university and also department.

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Tirupathi

Tirupati, city, southeastern Andhra Pradesh state, southern India. It lies in the Palkonda Hills, about 8 miles (13 km) northeast of Chandragiri and 67 miles (108 km) northwest of Chennai in Tamil Nadu state.

Tirupati is known as the abode of the Hindu god Venkateshvara, Lord of Seven Hills. The sacred hill of Tirumala is situated about 6 miles (10 km) northwest of Tirupati in Sri Venkateshwara Sanctuary and National Park. The hill was considered so holy that before 1870 non-Hindus were not permitted to ascend it. At the hill’s summit, at an elevation of 2,800 feet (850 metres), is a temple of great antiquity. The temple, nestled among sacred waterfalls and tanks (reservoirs) and dedicated to Venkateshvara, is a fine example of Dravidian art and is one of the most important pilgrimage centres in India. The temple is now the centre of Sri Venkateswara University.

Sri Venkateswara University was established in 1954, in Tirupati to cater the educational needs and aspirations of people of the Rayalaseema Region of Andhra Pradesh. After completing 68 years of excellence in teaching, research, extension and outreach activities, the University is committed to cater the needs of higher education offering a full range of post-graduate programs in Arts, Sciences, Law, Management, Education, Physical Education, Engineering and Pharmacy disciplines. From a humble beginning of one College with six departments, the University has now grown into the second largest University in Andhra Pradesh having five constituent Colleges Viz. College of Arts, College of Sciences, College of Commerce, Management & Computer Science, College of Pharmacy, and College of Engineering accommodating 52 departments offering 88 programs.

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