Dr. DSK Nayak

About

Dr. DSK NAYAK is currently an Assistant Professor at The AI Technology Institute (AiTI), SRM University-AP, Amaravati, India. He has completed his Postdoctoral Research at the Indian Institute of Technology Bhilai in the Area of Security for AI and quantum-safe financial transaction frameworks. He has completed his Ph.D. at the Department of Computer Science and Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, India. He has a total of 14+ years of expertise in the fields of Teaching, Research and Development, and Software Development. His area of expertise are Deep Learning & Vision Transformers, Genomics & Antimicrobial Resistance, AI model security, Medical Imaging & Diagnostics, Clinical LLMs & Radiology AI, IoT & Healthcare Cybersecurity.

Employment

• SRM University, Andhra Pradesh Assistant Professor
  2026 - Present
• Indian Institute of Technology Bhilai Post-Doctoral Fellow
  2025 - 2026
• Centurion University of Technology and Management Professor (Assistant)
  2024 - 2025
• Siksha O Anusandhan University Research Scholar
  2020 - 2025
• Intel (India) Application Engineer
  2019 - 2020
• Indian Institute of Technology Bhubaneswar Project Assistant
  2016 - 2018
• Gandhi Engineering College Asst. Professor
  2015 - 2016
• Elite Institute of Science and Applications Sr. Lecturer
  2012 - 2015
• Indian Institute of Technology Bhubaneswar Technical Assistant
  2010 - 2011
• Luminous Infoways Pvt. Ltd. Software Developer
  2009 - 2010

Education

• Indian Institute of Technology Bhilai Post-Doctoral Fellow
  2025 - Present
• Siksha O Anusandhan University Institute of Technical Education and Research Ph.D
  2020 - 2025
• Ravenshaw Autonomous College (Utkal University, Bhubaneswar (Orissa), academic) B.Sc IST
  2003 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (75)

• MrmrXgBr: A Machine Learning Model for Breast Cancer Identification Using Next-Generation Sequencing Data
  2027 DOI: 10.1007/978-3-032-35516-4_17
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• CadCNN 1.0: A HYBRID DEEP NETWORK MODEL FOR CARDIAC ARRHYTHMIA DETECTION
  Biomedical Engineering: Applications, Basis and Communications 2026 DOI: 10.4015/S1016237226500134
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• ARGai 3.0: AI fusion approach to identify antibiotic-resistant strains in E. coli using high-throughput whole genome sequencing data
  International Journal of Data Science and Analytics 2026 DOI: 10.1007/S41060-026-01217-3
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• Deep Network Models for Alzheimer’s Diagnosis Using MRI: A Comparative Analysis of CNN and Hybrid CNN-LSTM Architectures
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-05120-2_19
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• DeepCCi 1.0: A Deep Learning Model for Cervical Cancer Identification
  2026 DOI: 10.1007/978-981-96-8639-1_13
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• Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning
  Quantum Computing 2026 DOI: 10.1515/9783111342276-013
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• ViTat 1.0: An attention based vision transformer model for brain tumor identification
  Futuristic Information and Communication A Multimodal Multidisciplinary Signal Analysis 2026 DOI: 10.1201/9781003753391-20
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• Diabetes Prediction in Healthcare Utilizing Machine Learning Algorithms
  2025 International Conference on Ambient Intelligence in Health Care Icaihc 2025 2025 DOI: 10.1109/ICAIHC64101.2025.10957296
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• Evaluating the Capability of Large Language Model Chatbots for Generating Plain Language Summaries in Radiology
  Iradiology 2025 DOI: 10.1002/ird3.70030
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• Facial Emotion Recognition for University Students using CNN: Transforming Learning Environment
  Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing 2025 DOI: 10.1109/ICoICC64033.2025.11052034
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