CCET ACM Student There is a wide range of topics we investigate, including data mining, neural networks, fuzzy systems, evolutionary optimization, machine learning, pattern recognition, user-adaptive systems, computer graphics, computer vision, and bioinformatics, all under the common denominator of intelligent, nature-inspired methods and approaches to studying, modeling, and simulating complex systems that improve learnability, adaptability, and efficiency, these develop capabilities to study, model, and simulate complex systems that enhance their efficiency, adaptability, and learnability.
Conducting research of global acclaim and world-class quality in the analysis, design, and application of CI techniques.
To provide excellent instruction in CI disciplines.
Bringing our knowledge and experience to the industry, and raising funds through research initiatives
| Year | Title | Author |
|---|---|---|
| 2024 | Navigating the Landscape: Safeguarding Privacy and Security in the Era of Ambient Intelligence within Healthcare Settings | Tarun Vats, Sudhakar Kumar, Sunil K Singh, Uday Madan, Mehak Preet, Varsha Arya, Ritika Bansal & Ammar Almomani |
| 2024 | Sustainable and Intelligent Time-Series Models for Epidemic Disease Forecasting and Analysis | Anureet Chhabra, Sunil K. Singh, Akash Sharma, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Kwok Tai Chui |
| 2023 | A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection | Vyom Verma, Anish Benjwal, Amit Chhabra, Sunil K. Singh, Sudhakar Kumar, Brij B. Gupta, Varsha Arya & Kwok Tai Chui |
| 2023 | Explainable context-aware IoT framework using human digital twin for healthcare. Multimedia Tools and Applications | Tarun Vats, Sunil K. Singh, Sudhakar Kumar, Brij B. Gupta, Shabeg Singh Gill, Varsha Arya & Wadee Alhalabi |
| 2022 | Mobile Cloud Computing and Sustainable Development: Opportunities, Challenges, and Future Directions | Francisco José García Peñalvo, Akash Sharma, Anureet Chhabra, Sunil K Singh, Sudhakar Kumar, Varsha Arya, Akshat Gaurav |
| 2022 | Sustainable Stock Market Prediction Framework Using Machine Learning Models | Francisco José García Peñalvo, Tamanna Maan, Sunil K Singh, Sudhakar Kumar, Varsha Arya, Kwok Tai Chui, Gaurav Pratap Singh |
| 2022 | An efficient hardware supported and parallelization architecture for intelligent systems to overcome speculative overheads | Sudhakar Kumar, Dr. Sunil K. Singh, Naveen Aggarwal, Brij B Gupta, Wadee Alhalabi, Shahab S Band |
| 2022 | Deep Learning in Robotics for Strengthening Industry 4.0.: Opportunities, Challenges and Future Directions | Kriti Aggarwal, Dr. Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar, Francesco Colace |
| 2021 | Evaluation of automatic parallelization algorithms to minimize speculative parallelism overheads: An experiment | Sudhakar Kumar, Dr. Sunil K. Singh, Naveen Aggarwal, Kriti Aggarwal |
| Year | Title | Author |
|---|---|---|
| 2023 | Speculative Parallelism on Multicore Chip Architecture Strengthen Green Computing Concept | Sudhakar Kumar, Sunil Kr. Singh & Naveen Aggarwal |
| 2023 | A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems | Akash Sharma, Sunil K. Singh, Anureet Chhabra, Sudhakar Kumar, Varsha Arya, Massoud Moslehpour |
| 2023 | A Novel Transfer Learning-Based Model for Ultrasound Breast Cancer Image Classification | Saksham Gupta, Satvik Agrawal, Dr. Sunil K. Singh, Sudhakar Kumar |
| 2022 | SDN-Aided Edge Computing-Enabled AI for IoT and Smart Cities | Rashandeep Singh, Dr. Sunil K. Singh, Sudhakar Kumar, Shabeg Singh Gill |
| 2022 | Role of Social Media in the COVID-19 Pandemic: A Literature Review | Kriti Aggarwal, Dr. Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar |
| Year | Title | Author |
|---|---|---|
| 2024 | Revolutionizing Healthcare Systems: Synergistic Multimodal Ensemble Learning & Knowledge Transfer for Lung Cancer Delineation & Taxonomy | Aishita Sharma, Sunil K Singh, Sudhakar Kumar, Mehak Preet, Brij B Gupta, Varsha Arya, Kwok Tai Chui |
| 2024 | Revolutionizing Healthcare Systems: Synergistic Multimodal Ensemble Learning & Knowledge Transfer for Lung Cancer Delineation & Taxonomy | Aishita Sharma, Sunil K Singh, Sudhakar Kumar, Mehak Preet, Brij B Gupta, Varsha Arya, Kwok Tai Chui |
| 2024 | Sustainable Data Dependency Resolution Architectural Framework to Achieve Energy Efficiency Using Speculative Parallelization | Sudhakar Kumar, Sunil K. Singh & Naveen Aggarwal |
| 2023 | A Novel Transfer Learning-Based Model for Ultrasound Breast Cancer Image Classification | Saksham Gupta, Satvik Agrawal, Dr. Sunil K. Singh, Sudhakar Kumar |
| 2023 | Fuzzy Based Clustering of Consumers' Big Data in Industrial Applications | Akash Sharma, Dr. Sunil K. Singh, Eshita Badwal, Sudhakar Kumar, Brij B Gupta, Varsha Arya, Kwok Tai Chui, Domenico Santaniello |
| 2022 | Efficient Loop Unrolling Factor Prediction Algorithm using Machine Learning Models | Inderpreet Singh, Dr. Sunil K. Singh, Rashandeep Singh, Sudhakar Kumar |
| 2022 | Exploring Convolutional Neural Network in Computer Vision based Image Classification | Parnit Kaur, Dr. Sunil K. Singh, Inderpreet Singh, Sudhakar Kumar |
| 2022 | Security of Android Banking Mobile Apps: Challenges and Opportunities | Akash Sharma, Dr. Sunil K. Singh, Sudhakar Kumar, Anureet Chhabra, Saksham Gupta |
| 2021 | Automated Machine Learning (AutoML): The Future of Computational Intelligence | Gopal Mengi, Dr. Sunil K. Singh, Sudhakar Kumar, Deepak Mahto, Anamika Sharma |
| 2021 | Influence and Establishment of Smart Transport in Smart Cities | Muskaan Chopra, Sudhakar Kumar, Uday Madan, Soumya Sharma |
| 2021 | Dropout-VGG based Convolutional Neural Network for Traffic Sign Categorization | Inderpreet Singh, Dr. Sunil K. Singh, Sudhakar Kumar, Kriti Aggarwal |