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Dr. Ritunsa Mishra

Dr. Ritunsa Mishra

Assistant Professor, CSE

Qualifications
M.Sc. Computer Science, Rama Devi Women’s University, BBSR M.Phil. Cloud Computing, Rama Devi Women’s University, BBSR Ph.D. AI & Human Computer Interaction, Sri Sri University, Cuttack

What subject you teach at SSU?
Cyber Security Cryptography Network & Operating System Software Engineering

JOURNALS: 

  1. Human computer interaction applications in healthcare: An integrative review R Mishra, R Satpathy, B Pati EAI Endorsed Transactions on Pervasive Health and Technology 9 (1), 1-10 
  2. Interpretable AI in Medical Imaging: Enhancing Diagnostic Accuracy through Human-Computer Interaction R Mishra, R Satpathy, B Pati Journal of Artificial Intelligence and Systems 6 (1), 96-111 
  3. DIABETIC RETINOPATHY IMAGE CLASSIFICATION AND BLIND-NESS DETECTION USING DEEP LEARNING TECHNIQUES R Mishra, R Satpathy, B Pati, D Mohapatra, P Mishra, G Palai Machine Intelligence Research 18 (1), 1056-1077

  4. Enhancing Patient Outcome Predictions Through Differential Privacy with Optimized RNN Model Applied to Electronic Health Record Ritunsa Mishra , Rabinarayan Satpathy , Bibudhendu Pati, Rudra Prasanna Mishra Journal of Electrical Systems 
  5. OPTIMIZING PATIENT DISEASE CLASSIFICATION USING ELECTRONIC HEALTH RECORDS THROUGH MACHINE LEARNING BASED PREDICTIVE MODELS DM Ritunsa Mishra , Rabinarayan Satpathy , Bibudhendu Pati Journal of Emerging Technology and Innovative Research 11 (10), 380 – 389 

CONFERENCES: 

  1. A Comparative Analysis on Deep Learning Approaches for Patient Data Privacy Using Electronic Health Record R Mishra, R Satpathy, B Pati 2024 3rd Odisha International Conference on Electrical Power Engineering , Communication and Computing Technology (ODICON) 
  2. Optimized Machine Learning Model for Alzheimer’s Disease Classification G Das, R Mishra, SK Mohapatra, MN Mohanty 2024 International Conference on Signal Processing and Advance Research in Computing (SPARC) 
  3. Energy-Efficient Integrity Verification for Multimedia in Mobile Cloud Computing Using Block Chain Technology [Presented] International Conference on Intelligent Computing and Advances in Communication (ICAC – 2024) 
  4. Integrating Machine Learning And Electronic Medical Record(S) For Improved Predictive Analytics In Chronic Disease Management [Presented] 2nd International Conference on Signal Processing, Communication Power and Embedded System (SCOPES-2024) 
  5. Machine Learning Driven Remote Monitoring for Predictive Management of Chronic Heart Disease [Presented] IATMSI-2025, IIIMT , Gualiar 
  6. Binary Feature-Based Classification for Lung Cancer Detection: A Machine Learning Approach [Presented] International Conference on Intelligent Computing and Advances in Communication (ICAC – 2024) 

BOOK CHAPTER: 

1. Security Issues and Privacy Challenges of Cyber-Physical System in Smart Healthcare Applications S Samarpita, R Mishra, R Satpathy, B Pati
Big Data Analytics in Intelligent IoT and Cyber-Physical Systems, 73-87