Academic Profile :  

PhD in Computer Science Engineering specializing in AI-driven healthcare analytics and neuroimaging-based predictive modelling. Expertise in ensemble semi-supervised machine learning, medical image processing, and Explainable AI (XAI). Developed a novel DiverseBoost Ensemble with Hybrid Avian–Mammalian Optimization for mental health prediction using T2-weighted MRI scans, achieving 94.5% accuracy.

Certifications:

• Certified Google Educator
• Course on “Teaching Methodologies” by DALE CARNEIGE.
• Faculty Development Program on “Business Intelligence & Text Mining” by NPTEL.
• Course on Machine Learning -Andrew Ng offered by Stanford University. 
• Course on Introduction to IoT and Embedded System offered by University of California.

Publications:

PATENT:

Title: “IoT Based Mental Health Diagnostic Device”

Indian Patent Application Number: 415902-001

COPYRIGHT:

Title: “Air Pressure System Failure Detection Using Machine Learning”

Indian Copyright Registration Number: SW-18396/2025-CO

Paper Publications:

1. “Qualitative Research Reasoning on Dementia Forecast Using Machine Learning Techniques”, International Conference on Advances in Data-driven Computing and Intelligent Systems, Springer Nature Singapore, BITS Pilani Goa, September 21-21, 2023 [Scopus Indexed].
2. “ Investigating Dementia: An Analysis on Machine Learning Strategies”, International Journal of Computational Vision and Robotics, DOI: 10.1504/IJCVR.2024.10062322 [Scopus Indexed].
3. “Neuroimaging Data Classification using Optimized Meta-Heuristic Feature Selection Techniques”, International Conference on Paradigms of Communication, Computing and Data Analytics, January 18-19,2025 [Scopus Indexed].
4. “NEUROINSIGHT: A Comprehensive Pipeline Integrating Enhanced Avian-Mammalian Optimization, Diverse Boost Ensemble, and SHAP for Advanced Alzheimer's Disease Detection from Neuroimaging Data”, Machine Learning, Springer Nature [SCI Indexed, submission review completed]. 
5. “Disclosing malicious traffic for network security”, International journal of Advances in Engineering and Technology. ISSN: 22311963. Vol. 7, Issue 6, pp. 1701-1706. 
6. Secured Online Voting System Using Blockchain Technology, International Journal of Future Generation Communication and Networking, web of science.
7.  “Proactive security analysis in network”, IOSR journal of engineering. ISSN (e): 2250-3021, ISSN (p): 2278-8719 Volume 8, PP 25-28 
8.  “Survey on Advanced databases”, IOSR journal of engineering. ISSN (e): 2250-3021, ISSN (p): 2278-8719 PP 09-12 
9.  “DDOS attack detection and trace back”, International journal of Advances in Engineering and Management. 
10. “Automated penetration tests for network security”, International conference & workshop on advanced computing. 
11. “A Survey on Network Security Attack and Defense”, International journal of Innovative Research & Development
12. “Mixed reality for special education”, IOSR journal of engineering. ISSN (e): 2250-3021, ISSN (p): 2278-8719 PP 28-30

Book Chapters:

1.  “Neuroimaging Data Classification using Optimized Meta-Heuristic Feature Selection Techniques”, International Conference on Paradigms of Communication, Computing and Data Analytics, January 18-19,2025 [Scopus Indexed].

Awards & Achievements:

1. Evaluator for Smart India Hackathon SIH 2025 and SIH 2026.
2. Delivered Session as Resource Person on 'From Black Box to Glass Box: Making AI Decisions Transparent in Cybersecurity", conducted on 18 June 2026” for CAWACH Kendra, Knowledge Consortium of Gujarat (KCG), Government of Gujarat.
3. Delivered Session as Resource Person on 'IEEE Approved FDP on "Python for Modern Applications" hosted by A. P. Shah Institute of Technology..
4. Reviewer for Springer journal “Network Modelling Analysis in Health Informatics and Bioinformatics”

STTPs & FDPs attended:

1. Integrated Research Skills "From Systematic to Scholarly Publishing”, Fr. Conceicao Rodrigues College of Engineering, Bandra, Mumbai, 6 July 2026 to 10 July 2026.
2. Modern Application Life Cycle: From Architecture to Cloud Deployment, A.P. Shah. Institute of Technology, IEEE Section, 22 June to 27 June 2026.
3. Zscaler Zero Trust Cloud Security, ATAL FDP By Edu Skills hosted by A. P. Shah Institute of Technology, 12 Jan to 17 Jan 2026.
4. Generative AI and Prompt Engineering: The Future of Intelligent Systems, Thakur College of Engineering and Technology, Kandivali (East), Mumbai - 400 101, 8 Dec to 13 Dec 2025.
5. Industry Practices with DevOps and Emerging AI Tools, St. Francies Institute of Technology, Mumbai, 1 July 2025 To 5 July 2025.
6. AWS Cloud Solution Architect, A.P.Shah Institute of Technology, 16/12/2024 to 21/12/2024.
7. Deep Learning and its Applications, Shah & Anchor Kutchhi, College of Engineering, 16 Dec 2024 to 21 Dec 2024.
8. Deep Learning and Big Data Analytics Tools”, DMCE, Airoli, 8 July 2024 To 12 July 2024.
9. Exploring Generative AI and Explainable AI : Concepts to Application, " Thakur College of Engineering and Technology, Kandivali (E)", 24 june 2024 to 29 June 2024.
10. Data Science Applications in Real world using Python, "Indira College of Engineering and management", Pune, 18 March 2024 To 22 March 2024.