SUBMIT PAPER

9th International Conference on
Research in Intelligent Computing in Engineering (RICE-2024)

27-28 December, Hyderabad, India

About RICE 2024

We are delighted to invite you to participate in the Ninth International Conference on Research in Intelligent Computing in Engineering. The RICE 2024 will be organized by Stanley College of Engineering and Technology for Women, Hyderabad, India; Jointly co-organized by Department of Computer Science and Information Technology, School of Technology, Maulana Azad National Urdu University (Central University), Hyderabad, Telangana, India; and Universidad Don Bosco, El Salvador, Central America; during December 27 – 28, 2024 (Hybrid Mode). This conference will cover invited keynote talks and technical paper sessions. Besides, you will also get the opportunity to interact with various researchers to learn about some innovative ideas and research developments to become familiar with emerging trends in Science-Technology.

Where

Hyderabad, India

When

Friday & Saturday
27-28 December 2024

Organizers

Stanley College of Engineering and Technology for Women, Hyderabad, India – a temple of learning was established in the year 2008 on a sprawling 6-acre campus of historic Stanley College campus at Abids, Hyderabad.

The college provides a serene and tranquil environment to the students, boosting their mental potential and preparing them in all aspects to face the cut-throat global competition with a smile on the face and emerge victorious. Stanley College of Engineering and Technology for Women has been established with the support of Methodist Church of India that has been gracious and instrumental in making the vision of an Engineering College on this campus a reality.

The College is affiliated to the prestigious Osmania University, Hyderabad. it has been approved by AICTE, New Delhi & permitted by the Government of Telangana . it has been sanctioned Seven UG – courses Computer Science & Engineering, Electronics and Communication Engineering ,Electrical and Electronics Engineering, Information Technology, Computer Engineering, Artificial Intelligence and Data Science, Artificial Intelligence and Machine Learning and three PG courses M.Tech in CSE, M.E in Embedded systems and Masters Degree in Business Administration.

Host

The Department of Computer Science and Information Technology, School of Technology, MANUU, Hyderabad, India was established in 2006 with the aim to impart quality education and achieve the vision of excellence in the field of Computer Science, IT and interdisciplinary research. Presently, the Department of Computer Science and Information Technology offers B.Tech (Computer Science), M.Tech in Computer Science and MCA (two-years) programmes all approved by the All India Council for Technical Education (AICTE). Department also provides options of Lateral entry into the second year of B.Tech. (Computer Science) for Polytechnic students

The Department of Computer Science and Information Technology provides an excellent learning environment with dedicated young faculty members, state-of-the-art laboratories and innovative academic processes. We focus on providing in-depth knowledge in the field of Artificial Intelligence, Personalized learning, Machine learning, Computational sustainability, Block chain technology, semantic web, internet of things (IoT) and other allied fields of computer science & IT. We aspire our students towards becoming next generation IT professionals capable of generating programming and logical skills, providing networking solutions and becoming leaders in software industry, government and academia.


Co-Host

Universidad Don Bosco - El Salvador, Central America is one of the most prestigious institutions of higher education in El Salvador, particularly in the technical and technological fields. It is the only university in the country offering programs such as Biomedical Engineering, Aeronautical Engineering, and Mechatronics. Additionally, it maintains agreements with the International Society for Prosthetics and Orthotics (ISPO), which until 2016 awarded its graduates in Orthotics and Prosthetics with the “ISPO Category I International Accreditation”. The Webometrics World University Ranking, conducted biannually by the Spanish National Research Council (CSIC), as well as the “International Colleges & Universities,” both rank UDB among the top five universities in El Salvador, holding the fifth position in each ranking.

Keynote Speaker

Sudan Jha

Professor (Dr.) Sudan Jha

Department of Computer Science & Engineering, Kathmandu University, Nepal

Abdul Khadar Jilan

Professor (Dr.) Abdul Khadar Jilani

Head of Department, Department of Computer Science, University of Technology, Bahrain, Kingdom of Bahrain

Call For Papers

Artificial Intelligence & Machine Learning

  *  Machine Learning Real Time Applications
  *  Natural Langugae Processing (NLP)
  *  Computer Vision
  *  Ethics and Explainability in AI
  *  AI in Healthcare

Signal Processing and Embedded Computing

  *   Advanced Signal Processing Techniques
  *  Embedded Systems in Real-Time Applications
  *   Wireless Communication and Networking
  *  Machine Learning for Signal Processing
  *  Low-Power and High-Performance Embedded Computing

Communication Network

  *  Self-Driving and Autonomous Networks
  *   Datacenter Networking
  *   Cloud Computing
  *   Learning-Based Networked Systems
  *   Programmable Networks
  *   Networks for AI Systems

Internet of Things (IoT) and Big Data Analytics

  *  5G and Beyond Networks
  *   Network Security and Privacy
  *   Internet of Things (IoT) and Edge Computing
  *   Software-Defined Networking (SDN) and Network Function Virtualization (NFV)
  *   Network Performance Optimization

Natural Language Processing and Applications

  *  Language Models and Text Generation
  *   Sentiment Analysis and Opinion Mining
  *   Speech Recognition and Synthesis
  *   NLP for Low-Resource Languages
  *   Real-World Applications of NLP

Smart Manufacturing Technology

  *  Industrial Internet of Things (IIoT)
  *   Artificial Intelligence and Machine Learning in Manufacturing
  *   Robotics and Automation
  *   Sustainable Manufacturing Technologies

Specical Session

SPECIAL SESSION ON

"Artificial Intelligence Image Processing, Computer Vision, Pattern Recognition Applications and IOT."

SESSION ORGANIZERS

Dr.Ashish Mishra, Professor, Faculty of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur, India, 482003
ashish.mish2009@gmail.com

SESSION DESCRIPTION: Computer Vision, Image processing, text and document image analysis are the development work of Pattern Recognition. Even though Pattern recognition is a mature field in cognitive research, it is still booming because of the growing size of data and images. This needs to be processed and analyzed to take the decisive steps. The session on Image Processing, computer Vision and Pattern Recognition Application (ICPA), Artificial Intelligence and IOT is aims to bring the researchers, practitioners and industry experts to present their work in the field of medical imaging and Pattern recognition, Video processing and Big data analytics.

RECOMMENDED TOPICS: Topics to be discussed in this special session include (but are not limited to) the following:

  • Medical Image processing
  • Pattern recognition and pattern classification
  • Big Data in Health care
  • Deep learning and neural network application in Natural language processing
  • Biometric and Face recognition
  • Sentiment analysis
  • Applications of neural networks
  • Machine learning and reinforcement learning
  • IoT Applications
  • Biomedical and Signal Processing
  • Computational intelligence
  • Artificial intelligence and decision support system

SPECIAL SESSION ON

"Security for Smart Systems, Generative AI and LLM Development approach"

SESSION ORGANIZERS

Dr. Aditi Sharma, Associate Professor, Department of Computer Sc. And Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. aditi.sharma@ieee.org

SESSION DESCRIPTION: In an era where smart systems and generative AI are transforming industries, ensuring robust security is paramount. This special session will explore the critical intersection of security, generative AI, and the development of large language models (LLMs). Experts from academia and industry will delve into emerging threats, vulnerabilities, and best practices for safeguarding intelligent systems. This will contribute to a vital dialogue on building a safer and more resilient AI ecosystem.

RECOMMENDED TOPICS: Topics to be discussed in this special session include (but are not limited to) the following:

  • Cyber Physical Systems
  • Vulnerabilities in Smart Systems
  • Large Language Models
  • Gener
  • Adversarial Attacks on Generative Models
  • Data Privacy in AI
  • Deep Fake recommendation
  • Secure Development Lifecycle for LLMs
  • Ethical Implications of AI Security
  • Threat Modelling for Smart Systems
  • Digital Forensics and AI applications
  • Explainability and Trust in AI Security
  • Machine Learning for Security
  • Interoperability and Security
  • Impact of Quantum Computing on AI Security

Contact Us

Address

H. No. 5-78 to 82, B-1-80 & 5-9-81,
Fateh Maidan, Stanley College of Engineering and
Technology for Women, Abids, Hyderabad,
Telangana - 500001

Call Us

CONVENOR
Dr. M Swapna, +91 6304016449

CO-CONVENOR
Dr. Shivani Yadao, +91 8374932389
Dr. G Karthik, +91 9052611677

Email Us

rice2024@stanley.edu.in

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