International Conference on Future Trends in Computational Intelligence and Engineering



Hi-Tech Institute of Engineering & Technology is located at Ghaziabad, Uttar Pradesh. Established in the year 2004, it is a private institute affiliated to Dr. A.P.J Abdul Kalam Technical University and approved by AICTE and MHRD. HIET Ghaziabad is known for its research centers and to facilitate the same it has many centers of excellence such as Technical Training and Industry Alliance (CTTIA), Incubator Sponsored from Ministry of Micro, Small & Medium Enterprises (MSME), Innovation Entrepreneurship Development Center (IEDC) and Center for Software Consultancy and Development (CSCD).

Our Vision

Hi-Tech Institute is committed to the integration of student learning, research and development by creating transformative learning opportunities that enrich the lives of our students. We strive to promote excellence and encourage student success by engaging students in the life of the campus community.

Our Mission

To disseminate knowledge, Hi-Tech advances to generate creative and entrepreneurial leaders for the knowledge-based economy. In this line, we support the diverse needs of our student body, foster active learning and contribute to their personal and academic development. We are committed to an interactive, participative and technologically-enabled learning experience. To further this, we aspire to provide a rewarding and challenging environment for faculty, staff and students to kindle and sustain a passion for excellence.

About The ICFTCIE-2023

International Conference on Future Trends in Computational Intelligence and Engineering (ICFTCIE-2023) will be held during DATE (………….) in Ghaziabad, India.
Computational intelligence and engineering are transforming technology-based solutions in almost every field. The fusion of Artificial Intelligence and Engineering with technological advancements in computing has been realized as a rapidly growing new approach from research and development to various fields, including healthcare, business, education, travel, gaming and entertainment, that provide self-sustaining advanced information processing and applications. To create and automate intelligent information processing and services that are similar to human abilities, such as sensing, understanding, learning, recognizing and thinking,Computational intelligence and engineering is crucial. The development of intelligent and sustainable solutions to social and global problems requires continuous innovation, research and development. The goal of this International Conference on Future Trends in Computational Intelligence and Engineering (ICFTCIE-2023) is to provide a platform for researchers, scientists, researchers, scholars, solution developers, practitioners and aspiring professionals to discuss the development of sustainable engineering solutions and computational intelligence innovations. The primary goal of ICFTCIE-2023 is to unite the global participants in order to explore and share an intact idea that is not only intended to bridge the research gaps but also to facilitate international collaborations in their career path. Hopefully, the outcome will promote the participants towards the conference’s theme and encourage them to their significant contributions during the subsequent series of conferences as well.

Conference Tracks

The research papers are invited in the following tracks and areas but are not limited to.
Track 1: – Artificial Intelligence Engineering & Computer Science (General)
  • AI Algorithms
  • Artificial Intelligence Tools and Application
  • Computational Theories of Learning
  • Hybrid Intelligent System
  • Intelligent System Architecture
  • Recent Trends and Developments of AI, Big Data
Track 2: – Cloud Computing: Services and Architecture
  • Cloud Computing Architecture
  • Cloud Applications in Vertical Industries
  • Cloud Storage and File Systems
  • NoSQL Data Stores
  • Performance, SLA Management and Enforcement
  • Security Techniques for the Cloud
Track 3: – Computer Graphics
  • Geometric Computing
  • Surface Meshing
  • Shape Modeling
  • Physically Based Modeling
  • Image Based Modeling
  • Medical Visualization,
  • Scientific Visualization
  • Computational Photography
Track 4: -Computer Hardware Design
  • Hardware Design
  • Intelligent Information & Database Systems
  • Theoretical computer science
  • Grid and scalable computing
  • Intelligent Information & Database Systems
  • IT policy and business management
  • Blockchain
Track 5: – Computer Networks & Wireless Communication
  • Next Generation Internet
  • Next Generation Web Architectures
  • Network Operations & management
  • Adhoc and Sensor Networks
  • Internet and Web Applications
  • Mobile Networks & Wireless LAN
  • Ubiquitous Networks
  • Network Based Applications
  • Network Security
  • Self-Organizing Networks and Networked Systems
  • Mobile & Broadband Wireless Internet
  • Recent trends & Developments in Computer Networks
  • 5G/6G Cellular Systems and Heterogeneous Networks
  • Big Data / IoT Analytics in Networking
Track 6: – Computer Security & Cryptography
  • Network and Wireless Network Security
  • Mobile, Ad Hoc and Sensor Network Security
  • Intrusion Detection and Prevention
  • Cryptographic protocols
  • Performance Evaluations of Protocols & Security Application
  • E-mail security, Spam, Phishing, E-mail fraud
  • Data Encryption
  • Concept of risk management security
  • DDoS attacks on IoT devices
  • Cyber-attack concepts
  • Quantum cryptography
  • Quantum key distribution
  • Security threats and challenges
  • Research Trends of Quantum Cryptography Ecosystem
Track 7: – Computer Vision & Pattern Recognition
  • Document Analysis
  • Handwriting analysis and recognition
  • Pattern recognition & applications
  • Image processing,
  • Automatic speech recognition.
  • Signal processing
  • Video processing
  • Biometrics applications
  • Computer vision, robotics and perception,
  • Virtual reality
  • Medical image processing, recognition and diagnostics with application of intelligent methods
Track 8: – Machine Learning,Deep Learning & Application
  • Machine Learning Applications
  • Machine Learning in knowledge-intensive systems
  • Machine Learning Methods and analysis
  • Machine Learning Models and Problems
  • Natural Language in Conceptual Modeling
  • NLP techniques for Ambient Intelligence
  • NLP techniques for Internet of Things (IoT)
  • Generative Neural Networks
  • Deep Ensemble Learning
  • Deep Reinforcement Learning
  • Convolutional Neural Networks
  • Extreme Learning Machines
Track 9: – Automation & Control Theory
  • Adaptive Control
  • Control of Smart Material Systems
  • Robotics and Control
  • Networked and Embedded Controls
  • Deep learning in Autonomous systems
  • Process modeling, analysis, mining and optimization in intelligent automation
Track 10: – Bioinformatics & Computational Intelligence
  • Anti-Cancer Drug Efficacy Prediction
  • Personalized Cancer Medication
  • Human Disease Genetic Basis Identification
  • Build a DNA Sequence Classifier
  • Discriminative Graphical Models
  • Embedding Sequences
  • Genetic Basis of Human Disease
  • Statistical and Algorithmic Aspects
  • Promoter Discovery in Drosophila
  • Promoter Modeling
  • Regulatory Aspects