Dr. Preetishree Patnaik  is an academician,educator presently working as Asst Professor of School of engineering (CSE Dept ) at IILM University, Gurugram. She has combined academic and industry experience, a strong blend of teaching, research, and administrative expertise that aligns with your institution’s vision for academic excellence and innovation.

Her primary research interests are Artificial Intelligence, Neural Network, Machine Learning, Big Data, and Healthcare Informatics, with publications in IEEE, Springer, Wiley, and Elsevier. Notably, my works on cognitive architectures, IoHT security, and advanced clustering algorithms reflect my commitment to bridging theoretical knowledge with practical applications. Additionally, my co-authored book Fundamentals of C & Python Programming demonstrates  dedication to foundational and applied learning.

Her experience in  academic expertise, research accomplishments, and industry background will allow me to contribute meaningfully to your institution’s growth. I am particularly enthusiastic about fostering innovation in emerging technologies such as AI, ML, and neural network, while actively engaging in community outreach and institutional development.

Education details : 

• Phd Award 2025 in Computer Science Engineering From UOT, Jaipur Rajasthan.
  
• Mtech-Computer Science from Amity University, Haryana 2016.
  
• Btech – Electrical and Electronics Engineering, BPUT University Odisha, 2010.
  
• Class 12th-Science, M.M Women’s College, CHSE Board – Orissa-2006.
  
• Class-10th from DAV PUBLIC SCHOOL, Berhampur, Orissa-2004. 

Research Publications :

1. The Cognitive Analysis for an Approach to Neuroscience :2024 International Conference on Automation and Computation (AUTOCOM) iEEE
2. Machine learning aspects for trustworthy Internet of Healthcare Things :Internet of Healthcare Things: Machine Learning for Security and Privacy (John Wiley & Sons, Inc. )
3. Machine Learning-Based Approaches for Accurate Diagnosis, Progression Analysis, and Management of Nephritic Disease (International Journal of Engineering, Science, Technology and Innovation (IJESTI) Vol 4, Issue 11, November 2024 
4. Intelligent Big Data Analytics: A Perspective for IoHT and HealthCare Advances in Data Science and Management: Proceedings of ICDSM 2021 Springer Nature Singapore 
5. Delayed necrosectomy in severe acute necrotizing pancreatitis: Experience from a tertiary care centre ,Elsevier Limited 
6. Principles of Artificial Intelligence: Cognitive Architectures, Large Language Models, and Computational Limits ,EBOOKDeep Science Publishing 
7. Ensemble of YOLOv5 and Segment Anything Model for Brain Tumor Detection 2025 2nd International Conference on Advanced Computing and Emerging Technologies (ACET) 
8. Optimized Resource Scheduling in Fog Computing to Meet QoS Requirements and Minimize Execution Time for IoT Tasks Meerayan Ugc Care Group-I Journal 
9. From Data to Diagnosis: Unleashing AI and 6G in Modern Medicine Eksplorium p-ISSN 0854-1418 
10. Integrating Human Judgment, Opacity of Human Choices with Artificial Intelligence: Analyzing Real-Time Decision-Making by Machines or Robots Through HSAD Algorithm  Proceedings of First Global Conference on AI Research and Emerging Developments (G-CARED 2025) 
11. Efficient Machine Learning-Based Drowsiness Detection for Enhanced Driving Safety: Real-Time Implementation.Vol. 12 No. 21s (2024) https://ijisae.org/index.php/IJISAE/article/view/5747
12. An Implementation of Grid Density Based Clustering Algorithm in Big Data International Journal of Recent Research Aspects  ISSN: 2349-7688, Vol. 4, Issue 1, March 2017, pp. 61-65 
13. To study the Role of Machine Learning in Precision Diagnostics and Management of Continual Nephritic Disease ,Vol 7, Issue 9, 2024 Impact Factor: 5.355 DOI: https://doi.org/10.31426/ijamsr.2024.7.9.7716  
14. The Transformative Applications and Ethical Challenges of Artificial Intelligence in Healthcare .Available online at  https://saanvipublications.com/journals/index.php/jgrms/index .Volume 1 No 1, 2025 Journal of Global Research in Multidisciplinary Studies (JGRMS)Review Article
15. PRECISION IN MACHINE LEARNING FOR LONGITUDINAL ASSESSMENT AND ACCURACY EVALUATION IN NEPHRITIC CONDITIONS: A COMPREHENSIVE REVIEW .International Journal For Technological Research in Engineering Volume 11 Issue 7 March-2024 ISSN (online) 2347-4718
16. THE ROLE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE:
17. APPLICATIONS, IMPACT AND FUTURE PROSPECTS.International Journal For Technological Research in Engineering Volume 11 Issue 9 May-2024 ISSN (online) 2347-4718

Book Publications: 

1. Fundamentals of C & Python Programming 
   Dr. Chintal Patel Ms. Preetishree Patnaik, Dr. Dinesh Kumar Yadav 
   – ISBN-10 ‏ : ‎ 9349144875
   – ISBN-13 ‏ : ‎ 978-9349144873
2. Principles of Artificial Intelligence: Cognitive Architectures, Large Language Models, and Computational Limits  
   Author : Preetishree Patnaik, Puneet Garg DOI:10.70593/978-93-7185-527-3
   – ISBN: 9789371855273
3. Machine learning aspects for trustworthy Internet of Healthcare Things :Internet of Healthcare Things: Machine Learning for Security and Privacy (John Wiley & Sons, Inc
   https://doi.org/10.1002/9781119792468.ch4 Digital Object Identifier (DOI)

Patents:

1. METHOD FOR IMPROVING THE ACCURACY AND EFFICIENCY OF DEEP LEARNING MODELS.
2. https://ipsearch.ipaustralia.gov.au/patents/2021103216 : 
   – INTELLIGENT TRACKING & MANAGING SYSTEM FOR WATER QUALITY DISTRIBUTION AND WATER CONSUMPTION PLAN SCHEDULING USING BLOCK CHAIN Application no : 2021103216.