WELCOME TO
INTERNATIONAL CONFERENCE ON SENTIMENTAL ANALYSIS AND DEEP LEARNING

KGiSL Institute of Technology, Coimbatore.
12-13, March 2021



Important Dates

Paper Submission Date: 02 January, 2021
Notification of Acceptance: 28 January, 2021
Registration Due Date: 20 February, 2021
Conference Date: 12-13, March 2021
SCOPE

International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021) is a prominent event organized with the motivation for providing an international forum for all researchers, academicians and students for sharing their research findings on the different facets of Deep Learning and Sentimental Analysis techniques. ICSADL 2021 is held on 12-13, March 2021, in KGiSL Institute of Technology, Coimbatore, India. ICSADL 2021 aims to exchange and share new ideas and research results about all aspects of Sentimental analysis and deep learning which includes Artificial Intelligence, Innovations in robotics, Big Data and also converse the practical challenges encountered and the solutions adopted. ICSADL 2021 will highlight the areas of Statistical Learning Methods, Applied Intelligence, Machine Learning, Natural Language Processing and Cognitive Computing.




ABOUT THE COLLEGE

Welcome to KGiSL Institute of Technology

Don't be afraid to fail. Don't waste energy trying to cover up failure. Learn from your failures and go on to the next challenge. It's OK to fail. If you're not failing, you're not growing.


Objective

The main objective of the KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice.


About KiTE

KGiSL Institute of Technology (KiTE) was established in the year 2008 under KG Trust by Dr. G. Bakthavathsalam, MS, FICS, FCCP, FAMS, FMMC, Founder-Chairman of KG Hospital, with an objective to offer quality education at the undergraduate and post graduate levels with relevance to industry embedded education, to mold the students for leadership in various fraternities like industry, government and educational institutions; to advance the knowledge base of the engineering professions and to influence the future directions of engineering education and practice.

KGiSL Institute is recognized as an intellectual industry hub for learning and practice being sponsored by KG Information Systems Private Limited. The Founder and Director of KG Information Systems Private Limited, Mr.Ashok Bakthavathsalam B.E., M.S., is responsible for KGiSL’s growth by playing a vital role in both leadership and management of the company. KGiSL Institute of Technology is located inside the KGiSL Campus, a sprawling 40-acre campus, just 8 kms from the city, which also houses the BPO, Software and Call Center operations of KGiSL apart from the co-location of its institutions for higher learning. The Campus presents the perfect integration of institute – industry infrastructure in an environment of perfecting learning.

Choice of such an institution will depend on its proximity to industry, the relevance of its learning programmer to real-time industry and the active connect a student will have with industry professionals. KGiSL Institute of Technology is an industry-sponsored institution par excellence, embedded in the environs of global design engineering and information technology entities – embracing an aura of institute – industry culture and sensitivity. KiTE with its industry lineage will leverage the advantage of connecting to real world challenges. The rapid pace of innovation in the area of engineering and a high degree of focused knowledge is important to build a successful career. Realizing this need, well-experienced and qualified faculty members are firmly encouraged to nurture the students.

We welcome you to the industry-instilled institution and wish you the best in all your future endeavors .


Vision and Mission statements of the Institute


EN VISION ED FUTURE “MORE GENIUS PER GENIUS”

To be recognized as the #1 engineering institutions regionally and nationally by all stakeholders including employers, faculty and society


CORE MISSION QUESTION HOW CAN WE MAXIMIZE LEARNER TRANSFORMATION IN 10,440 HOURS?

We are coresponsible for producing remarkable behavioral traits such as deep enquiry (self generated questions, curiosity, research), an intrinsic desire for uncomfortable struggle (for employable skills, specific interests, big ideas) and an inclusive mindset (real world projects, collaboration, compassion)


About The Department:

Computer science is at the forefront of the digital revolution that continues to define the 21st century. From its humble beginnings in the 19th century, Computer Science has grown to become a key component of the emerging economy. It helped introduce innovations like the smartphone and the ‘gig’ economy. In future, computer scientists are expected to completely reshape the world we live in with technologies like Augmented Reality, the Internet of Things, and distributed ledgers like Blockchain. This new world will need the hardware and software skills of computer professionals like you whose innovations rely on a strong foundation of knowledge and a dedication to learning in the classroom, in the lab, and over the course of one’s career.

At KGiSL, CSE department is committed to develop young minds to make creative engineers in industries, business and to play a positive and useful role in social transformation. Our department offers its students the very best exposure in terms of technology, infrastructure and resources. The college lays great emphasis on Industry-Embedded quality education. Its unique learning approach is designed to contribute significantly to the growth and development of each and every student. The learning environment of the department is challenging and discipline is paramount among the students. CSE department has been in the forefront in recognizing the needs of the industry and integrating knowledge with professional inputs. Our department is one of the reputed departments and it is prominent for the standards of its facilities, students and alumni. A team of faculty members always approach the students with current updates in our domain and discuss future developments. We ensure a futuristic approach that keeps pace with the changing trends in the professional world through our global perspective. The final goal is achieved through our unyielding efforts to enhance Quality in Industry Embedded Education, Research and Diversity in order to serve the society at large.


Vision & Mission of the Computer Science & Engineering


Vision

To promote industry embedded education thereby creating Computer Science Professionals with exceptional intellectual skills who will have a transformative impact on society.


Mission

  • To inculcate remarkable behavioral traits and industry embedded research insights in students, helping them face uncomfortable struggle
  • To foster the spirit of deep enquiry and imagination among students by invoking in them the curiosity to come up with innovative ideas for well-being of the society
  • To associate with individuals and organizations to realize supreme potential for solving real-world problems

Programme: B.E. Computer Science and Engineering

PROGRAM EDUCATIONAL OBJECTIVES (PEOs):

PEO1: To enable graduates to pursue higher education and research, or have a successful career in industries associated with Computer Science and Engineering, or as entrepreneurs.

PEO2: To ensure that graduates will have the ability and attitude to adapt to emerging technological changes.

PEO3: To attain professional skills by ensuring life-long learning with a sense of social values.


PROGRAM OUTCOMES POs:

At the time of graduation, the students of Computer Science and Engineering should have the

PO1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PO2 PROBLEM ANALYSIS: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3 DESIGN /DEVELOPMENT: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4 CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5 MODERN TOOL USAGE: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6 THE ENGINEER AND SOCIETY: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7 ENVIRONMENT & SUSTAINABILITY: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8 ETHICS: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12 LIFE LONG LEARNING: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.


PROGRAM SPECIFIC OUTCOMES (PSO’s)

PSO1:To analyze, design and develop computing solutions by applying foundational concepts of Computer Science and Engineering.

PSO2:To apply software engineering principles and practices for developing quality software for scientific and business applications.

PSO3:To adapt to emerging Information and Communication Technologies (ICT) to innovate ideas and solutions to existing/novel problems.

COMMITTEE
CALL FOR PAPERS


We invite submissions of papers addressing theoretical aspects of Sentimental Analysis, Deep Learning and related topics. We strongly support a broad definition of learning theory, including, but not limited to:

Sentiment Analysis
  • Cognitive Computing
  • Deep Learning
  • Semantics & Syntactic Analysis
  • Natural Language Processing
  • Emotion-Driven Systems
  • Data Mining for ontology matching, instance matching and search
  • Recommender systems Applications in Social Networks
  • AI Driven Sentiment Analysis
  • Information Retrieval and Document Analysis
  • Intelligent Decision Making
Deep Learning
  • Fog Computing
  • Data Analytics and Computing
  • Reinforcement learning
  • Image Processing
  • Cognitive Networks
  • Evolutionary Computing
  • Genetic Algorithms
  • Statistical learning methods
  • Fuzzy models
  • Security and Privacy Methods in Deep Learning
Big Data Analytics
  • Foundational theoretical or computational models for big data
  • Big data quality evaluation and assurance technologies
  • Artificial Intelligence for big data
  • Visualization analytics for big data
  • Real-time Big Data Services and Applications
  • Big data services and applications for healthcare
  • Web Intelligence
  • Cryptographic Algorithms and Protocols
  • Web mining and Graph Mining
  • Machine learning in cloud computing


IMPORTANT DATES

    Paper Submission Date: 10, January 2021
    Notification of Acceptance: 12, February 2021
    Registration Due Date: 15, March 2021
    Conference Date: 2-3, April 2021
    KEYNOTE SPEAKERS

PAPER SUBMISSION
Send your manuscript to icsadl.conf@gmail.com
PUBLICATION

to be Updated...