About the Symposium
The Mukesh Patel School of Technology Management & Engineering, NMIMS University,
invites original research submissions for the International Symposium on Applications of
AI in Healthcare, Cybersecurity, and Education at NMIMS University, Mumbai's
International Research Symposium.
This symposium aims to provide a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence in Healthcare, Cybersecurity, and Education. The event will include keynote addresses, expert talks, panel discussions, research presentations, and hands-on workshops.
The AI for Healthcare, Cybersecurity & Education Symposium 2025 brings together leading researchers, practitioners, and industry experts to explore the transformative potential of artificial intelligence in three critical domains mentioned above: Healthcare, Cybersecurity and Education.
This two-day symposium will feature keynote addresses, expert panels, research presentations, and hands-on workshops designed to foster collaboration, share cutting-edge research, and address the ethical, technical, and practical challenges at the intersection of the above fields.
Our Mission
To advance the responsible development and application of AI technologies that enhance healthcare, strengthen cybersecurity defenses and educational outcomes.
Our Vision
A future where AI-powered solutions improve global health and security while maintaining privacy, equity, and ethical standards while the upcoming generations are educated in a enhanced and secure environment.
Key Focus
Bridging research and practice, fostering interdisciplinary collaboration, and addressing ethical considerations in AI applications.
Event Schedule
Two days of inspiring talks, workshops, and networking opportunities!
Inauguration & Keynote Address
Tea Break
Expert Sessions (30 min each)
Lunch Break
Panel Discussion
Tea Break
Research Paper Symposium on AI in Healthcare and Cyber Security
Our Patrons
Dr Ramesh Bhatt
Vice Chancellor
NMIMS University, Mumbai
Dr Sharad Mhaiskar
Pro Vice Chancellor
NMIMS University, Mumbai
The convergence of artificial intelligence with healthcare and cybersecurity represents one of the most promising frontiers of innovation in our time. At NMIMS, we are proud to host this symposium that brings together brilliant minds from across the globe to explore how AI can enhance human health and security while addressing the ethical challenges that emerge at this intersection.
Organizing Committee
Meet the dedicated team bringing this symposium to life
Dr. Vijayam Sugumaran
Conference Chair
Oakland University
Dr. Vaishali Kulkarni
Organizing Committee Chair
Department of Artificial Intelligence, MPSTME
Dr. Deepa Krishnan
Technical Programme Committee Chair
Department of Computer Engineering, MPSTME
Dr. Pintu Shah
Technical Convenor
Department of Cybersecurity, MPSTME
International Advisory Board
Distinguished experts guiding the vision and direction of our symposium
Professor Veda C. Storey
Georgia State University, USA
Professor Wynne Chin
University of Houston, USA
Professor Sunil Vadera
Salford University, UK
Dr. Epaminondas Kapetanios
University of Hertfordshire, UK
Dr. Jordi Conesa Caralt
Open University of Catalonia, Spain
Professor Min Hu
Shanghai University, China
Featured Speakers
Learn from leading experts in AI, Healthcare, and Cybersecurity
Prof. Farid Meziane
University of Derby, UK (Online)
Dr. Juan Du
Shanghai University, China (Online)
Prof. Ghassan Beydoun
University of Technology Sydney, Australia (Online)
Prof. Aurona Gerber
Stellenbosch University, South Africa (Online)
Prof. Sooyong Park
Sogang University, Seoul, South Korea (Online)
Professor Brij Booshan Gupta
Asia University, Taiwan
Dr. Shravani Shahapure
Deloitte, India
Dr Sasikumar
Executive Director, CDAC, India
Mr. Jason Joseph
Chief Information Security Officer - mPokket, India
Mr. Kalpesh Doshi
Chief Information Security Officer, HDFC Life, India
Mr. Pinakin Dave
Country Manager, OneSpan, India
Mr. Yati Gharat
Chief Technology Officer, Litmus Systems, India
Lt. Col. Harkamal Sidhu
Deputy Director, Former NSCS, India
Dr. Tejpal Gupta
Professor, Tata Memorial Hospital, India
Dr. Archya Dasgupta
Assistant Professor, Tata Memorial Hospital, India
Dr. Sudipta Roy
Associate Professor, Jio Institute, India
Dr. Shailesh Kumar
Chief Data Scientist, Reliance Jio, India
Dr. Deepak Patkar
Director, Nanavati Max Super Hospital, India
Dr. Lakshmanan Kailasam
IIT BHU, India
Dr.Ramkumar Rajendran
IIT B, India
Call for Papers
Share your research and innovations in AI for Healthcare and Cybersecurity
Author Guidelines
Authors are required to submit a full draft manuscript of 6 pages, in PDF format, conforming to the formatting specifications mentioned below.
All submissions must be in two-column format, single-spaced, using Times New Roman, font size 11 pt, with 1-inch (2.54 cm) margins on all sides.
The manuscript should be written in English, and the structure should include: Abstract, Keywords, Introduction, Methodology, Results, Discussion, and References.
Submission Guidelines
All papers will undergo a double-blind peer review by the Technical Program Committee.
Selected manuscripts will be invited for oral presentation at the symposium.
Best papers from the symposium will be invited to submit extended versions for publication consideration in the following Scopus-indexed journals. These papers will go through the standard review process of the journal and the Guest Editors will make their recommendations to the Editor-in-Chief of the journal. The final decision to accept or reject the paper will be made by the Editor-in-Chief of the journal and communicated to the authors.
- Journal of Web Engineering
- International Journal of Intelligent Information Technologies (IJIIT)
- Discover Internet of Things
Topics of interest include:
AI in Healthcare
- Diagnostic systems and clinical decision support
- Radiomics, radiogenomics, and medical image analysis
- Predictive analytics in patient care
- AI in telemedicine and mobile health
- Personalized healthcare solutions
- Mental health monitoring using AI
- Health data management and visualization
AI in Cybersecurity
- Intrusion detection using AI
- Threat intelligence and anomaly detection
- Adversarial machine learning
- Privacy-preserving AI techniques
- Cybersecurity for IoT and critical infrastructure
- Quantum-safe AI applications
- Federated learning and secure data sharing
AI in Education
- Use of GenAI and LLM in Education
- Intelligent tutoring systems and personalized learning
- Automated grading and feedback systems
- AI-driven curriculum adaptation and learning analytics
- Natural language processing for educational dialogue systems