Deep Learning Applications in Translational Bioinformatics

Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi, India, and an Adjunct Professor at UCSI University, Malaysia. He has over 14 years of teaching and research experience and previously served as an ICCR Chair Visiting Professor at Ain Shams University, Egypt. Dr. Raza has published more than 160 peer-reviewed papers and authored/edited over 15 books with Springer, Elsevier, and CRC Press. He serves as Academic Editor of PLoS ONE, BMC Artificial Intelligence, and Guest Editor of npj Precision Oncology, JoVE, and several other journals. Recipient of Clarivate’s (Web of Science) India Excellence Research Citation Award 2025, Dr. Raza is consistently featured in the World’s Top 2% Scientists list (2022–2025). His research focuses on AI, bioinformatics, and health informatics Dr. Debmalya Barh is currently a Visiting Full Professor (Titular, Grade-E) in Bioinformatics and Precision Health at the Department of Genetics, Ecology, and Evolution, ICB, Federal University of Minas Gerais, Brazil and honorary scientist of the Institute of Integrative Omics and Applied Biotechnology (IIOAB), India. With over 20 years of experience, he has led academic, healthcare, molecular diagnostic, and bioinformatics industry endeavors. He works with more than 400 scientists from 100+ top ranked organizations across 40+ countries and has 220+ publications and a branded editor for 10+ cutting-edge omics related reference books. He is an expert in in precision/personalized health and integrative omics-based biomarker and target discovery in infectious and complex lifestyle diseases. Dr. Deepak Singh is an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology (NIT) Raipur, India. He has over 10 years of teaching and research experience in various academic institutes. He has published over 30 refereed articles. He served as a reviewer of several journals. He has delivered several invited talks and presented papers in reputed International conferences and workshops. His research interests include evolutionary computation, machine learning, and data mining. Dr. Naeem Ahmad is an Assistant Professor at the Department of Computer Applications, National Institute of Technology (NIT) Raipur, India. Prior to working here, he worked as an Assistant Professor with the School of Network Engineering, Jiangxi Ahead Software Vocational and Technical College. He has over 8 years of teaching/research experience in various academic institutions. He has published over 20 research articles and served as reviewers for various journals and conferences. His research interests lie in deep learning, Wireless Networks, Image Processing, and Signal Processing and its applications in Healthcare.

• 1. Deep Learning Ensembles in Translational Bioinformatics2. Recursive Feature Elimination and Multi Support Vector Machine in Healthcare Analytics3. Sensors-enabled Biomedical Decision Support System using Deep Learning and Fuzzy Logic4. Prediction of Alzheimer's Disease Using Densely Convolutional Neural Network5. Brain Tumor Detection from MRI Images using Shallow CNN6. Pandemic Disease Detection Using Diffusional Convolutional Neural Network7. Multiview Technique and Shallow CNN with Dropouts to Predict Antiviral Peptides8. Deep Learning Methods for Protein Classification9. Biosensors-based Identification of Antibiotic Resistance in Bacteria10. Deep Learning for Fervent Gene Expression Analysis11. Machine Learning-enforced Bioinformatics Approaches for Drug Discovery and Development12. Role of Deep Learning in Predicting Drug Formulations and Delivery Systems13. Deep Learning in Computer-aided Drug Design: A Case Study14. Protein Structure Prediction with RNN and CNN: A Case Study15. Generative Adversarial Networks in Protein and Ligand Structure Generation: A Case Study16. Artificial Neural Networks for Prediction of Psychological Threats: A Case Study