Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices

Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision. Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.

• 1. Anomaly Detection in IoT using Fox Swarm Intelligence2. Computational Medical Imaging for Biometrics using MRI and X-ray3. AI Cybersecurity in Healthcare for Cyber-Physical Systems4. Securing Healthcare Systems using Biometrics: A State-of-the-Art Systematic Literature Review and Future Research Directions5. Social Media Analytics Using Deep Neural Networks for Mental Healthcare Applications6. Energy Efficiency in IoT-based WSNs7. Predictive Detection of Breast Cancer with Artificial Neural Network and Support Vector Machine8. Evolutionary Optimization for Biometric Feature Identification and Recognition: A Survey9. Comparative Analysis of Explainable Artificial Intelligence (XAI) Techniques on Cancer Dataset- addressing the “Black Box Problem”10. Risk Monitoring Strategy for Confidentiality of Healthcare Information11. Security Vulnerabilities against Fingerprint Biometric Systems12. Adaptalytics of Students’ To Online Learning Using Machine Learning Classifiers And Sequential Neural Network13. A Survey on Suicidal Rate Trends in Society using Machine Learning Models14. AI assisted Wireless Capsule Endoscopy Devices for Gastrointestinal Tract Screening: A Review