Dr. Amar Shukla is an academician and researcher, presently working as Associate Professor and Cluster lead – Cluster of Intelligent Systems, School of Computer Science and Engineering, IILM University, Gurugram, where he oversees the B. Tech programmes in Artificial Intelligence, CSE (AI & ML), Generative AI, and Robotics Intelligence. He has a rich experience of over 12 years across academia and research, having previously served at UPES, Dehradun (2015–2024) in roles including Proctor, Program & Curriculum Leader, Academic & Monitoring Lead, and NSS Programme Officer. His primary research interests lie in Medical Image Analysis, Deep Learning, Neuroimaging, and Multimodal Classification. As a researcher and author, he has published 30+ research papers in reputed international journals and conferences indexed in SCI/SCIE and Scopus (h-index: 8), authored a book, contributed multiple book chapters, filed an Indian patent, and holds registered software copyrights.

Educational Qualification

• Ph.D., Computer Science and Engineering, UPES, Dehradun, Uttarakhand
  – Topic: Biomarker Based Multiclass Classification of Alzheimer Disease
• M. Tech – Artificial Intelligence and Neural Network, UPES, Dehradun, Uttarakhand
• B.E – Computer Science and Engineering, CSVTU, Bhilai, Chhattisgarh

Research and Scholarly Publication

JOURNAL PUBLICATIONS (SCI / SCOPUS INDEXED)

• “Hybrid Deep Recurrent Architecture for Emotion Analysis on Social Media”, Engineering Applications of Artificial Intelligence, Vol. 178, 2026.
• “Attention-Guided Lightweight Deep Learning Architecture for Classification of Polycystic Ovary Syndrome from Ultrasound Images”, Intelligence-Based Medicine, 100358, 2026.
• “Review on Classification of Amyotrophic Lateral Sclerosis Using Ensemble Classifiers”, Engineering Proceedings, Vol. 82(1), 114, 2025.
• “HybridFusionNet: Deep Learning for Multi-Stage Diabetic Retinopathy Detection”, Technologies, Vol. 12(12), 256, 2024.
• “Analyzing Subcortical Structures in Alzheimer’s Disease Using Ensemble Learning”, Biomedical Signal Processing and Control, Vol. 87, 105407, 2024.
• “Path Reader and Intelligent Lane Navigator by Autonomous Vehicle”, Paladyn, Journal of Behavioral Robotics, Vol. 14(1), 20220117, 2023.
• “Geo-Based Recommendation System Utilising Geo Tagging and K-Means Clustering”, Spatial Information Research, Vol. 31(3), pp. 253–263, 2023.
• “Alz-ConvNets for Classification of Alzheimer Disease Using Transfer Learning Approach”, SN Computer Science, Vol. 4(4), 404, 2023.
• “Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier”, Machine Learning and Knowledge Extraction, Vol. 5(2), pp. 512–538, 2023.
• “Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques”, Sci, Vol. 5(1), 13, 2023.
• “Structural Biomarker-Based Alzheimer’s Disease Detection via Ensemble Learning Techniques”, International Journal of Imaging Systems and Technology, pp. 1–20, 2023.
• “Learners’ Acceptability of Adapting the Different Teaching Methodologies for Students”, International Journal of e-Collaboration (IJeC), Vol. 19(1), pp. 1–20, 2023.
• “Geospatial Analysis for Natural Disaster Estimation through Arduino and Node MCU Approach”, GeoJournal, pp. 1–17, 2021.
• “The Involvement of Machine Learning and Deep Learning in the Evaluation of Arthritis, Lung, and Skin Diseases”, Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, 2021.
• “A Comprehensive Analysis of CAD Software in Cardiovascular Disease Treatment”, Drugs and Cell Therapies in Hematology, Vol. 10(1), pp. 2261–2273, 2021.

CONFERENCE PUBLICATIONS

• “Chimp Optimized Vision Transformers for Enhanced PCOS Detection Using Ultrasound Image Classification”, 2025 IEEE 1st International Conference on Recent Trends in Computing, 2026.
• “A Study on Predictive Modelling Frameworks for Thyroid Cancer Recurrence Using Clinical Data”, 2025 International Conference on Emerging Technologies in Electronics, 2025.
• “Ensemble Deep Learning for DR Identification: Integrating DenseNet121 and VGG19 Architectures”, 2024 1st International Conference on Innovative Engineering Sciences, 2024.
• “Deep Learning-Based Multi-Class Classification of Diabetic Retinopathy Utilizing Transfer Learning with MobileNet Architecture”, International Conference on Emerging Trends in Expert Applications, 2024.
• “Broad Analysis of Deep Learning Techniques for Diabetic Retinopathy Screening”, 2023 International Conference on Smart Computing and Application (ICSCA), pp. 1–5, 2023.
• “Movie Synchronization System Using Web Socket Based Protocol”, International Conference on Intelligent Systems and Machine Learning, pp. 222–231, 2022.
• “GAN and IEC Approach for Image Generation”, 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies, 2022.
• “Automated Pipeline Preprocessing Techniques for Alzheimer Disease Detection”, 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO), 2022.
• “Criminal Combat: Crime Analysis and Prediction Using Machine Learning”, 2021 International Conference on Intelligent Technologies (CONIT), 2021.
• “Recommendation System for Prediction of Tumour in Cells Using Machine Learning Approach”, International Conference on Recent Developments in Science, Engineering and Technology, 2021.

BOOK CHAPTERS

• “Network Security Using Enhanced Vigenere Cipher”, in Hybrid Optical Wireless Networks and Sensor Technologies, pp. 163–175, 2025.
• “Digital Twins in Industry: Real-World Applications and Innovations”, in Transforming Industry Using Digital Twin Technology, pp. 1–18, 2024.
• “Yoga Practitioners and Non-Yoga Practitioners to Deal Neurodegenerative Disease in Neuro Regions”, in Data Analysis for Neurodegenerative Disorders, pp. 67–91, 2023.
• “Artificial Intelligence Approach for Signature Detection”, in Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovations, 2023.

PATENTS AND COPYRIGHTS

• Indian Patent (Filed): Application No. 202611044474.
• Registered Copyright: Glaucoma Detection Software, Diary No. SW/18640/2023.
• Registered Copyright: MpoxNet.