ICWL-SETE 2025 Workshop: AI and IoT-Enabled Technologies

Workshop Description

This workshop explores how AI, IoT, and embedded systems are transforming medical education and healthcare training, aligning with ICWL-SETE’s focus on educational technology. Key topics include AI-driven adaptive learning and assessment systems, IoT-enabled medical simulators, immersive remote training environments, and real-time analytics for personalized feedback. The integration of communication protocols such as MQTT and LoRaWAN, sensor-based data collection, and mobile robotics are examined as means to create scalable, engaging, and effective educational tools. The workshop aims to foster discussions on designing intelligent, data-driven learning environments that address challenges in remote healthcare education, assessment, and personalization.

The rapid advancement of AI and IoT offers unprecedented opportunities to revolutionize medical education, assessment, and personalized learning. This workshop aligns with ICWL-SETE’s mission by demonstrating how intelligent tutoring systems, scalable remote training platforms, and immersive simulation environments can enhance learning outcomes and engagement. The integration of sensor networks and communication protocols enables real-time data collection and adaptive feedback, crucial for modern medical training. The workshop aims to bring together researchers, educators, and industry practitioners to explore innovative, scalable, and personalized educational solutions rooted in emerging AI and IoT technologies.

Call for Papers

We invite researchers, educators, practitioners, and industry experts to submit original papers to the ICWL-SETE 2025 workshop. The focus is on latest advances, challenges, and future directions in AI, IoT, and AIoT-driven personalized learning, including intelligent tutoring systems, adaptive platforms, learner modeling, and more.

Topics of Interest

Technical areas of this special session include, but are not limited to:

AI-driven adaptive learning systems for medical curricula
IoT-enabled medical simulators for realistic training environments
Real-time data analytics and personalized feedback in healthcare education
Sensor networks and wearable devices for remote health training and assessment
Integration of communication protocols (e.g., MQTT, LoRaWAN) for medical IoT devices
Immersive virtual and augmented reality applications in medical education
Use of mobile robots and autonomous systems for interactive training modules
Digital twin models for simulating complex medical procedures and diagnostics
Machine learning models for skill assessment and competency evaluation
Data fusion techniques combining sensor data for accurate performance monitoring
Edge computing and federated learning for privacy-preserving educational data processing
Personalized learning pathways driven by AI and IoT data
Blockchain and secure data exchange for medical education records and assessments
Human-in-the-loop systems for intelligent tutoring and scenario-based training
Design of scalable, low-latency tele-education platforms leveraging IoT infrastructure
Challenges and solutions in deploying AI and IoT in resource-constrained healthcare settings
Ethical considerations and data privacy in AI-enabled medical education systems
Human-centered design principles for developing user-friendly medical training devices
Integration of AI and IoT for continuous professional development and lifelong learning

While these topics provide a broad overview of current interests, we welcome submissions that explore innovative ideas, emerging technologies, and interdisciplinary approaches. The scope is intentionally flexible to accommodate the rapid evolution of AI and IoT in medical education. We encourage proposals that push the boundaries of existing knowledge, address new challenges, or propose novel solutions that may not yet be widely explored but hold significant potential for transforming healthcare training in the digital age.

Submission and Publication

Paper submission system is available at: EasyChair (TBA). Prospective authors are invited to submit original papers reporting on research results, experimentations or novel applications related to the workshop topic

Participants are invited to submit papers of 6-8 pages, or position statements of 2-4 pages, formatted according to IEEE templates (download templates).

Submissions will undergo peer review by experts, focusing on originality, relevance, and clarity. Accepted papers will be published in the ICWL-2025 proceedings.

Schedule and Deadlines

Paper Submission Deadline: October 10, 2025
Notification of Acceptance: October 21, 2025
Camera-Ready Submission: October 31, 2025
Workshop Date: November 30, 2025

Review Process

All submissions will undergo double-blind peer review conducted by an international Program Committee, ensuring transparency and conflict-of-interest management in line with ICWL-SETE standards.

Accepted Papers

TBA

Best Presentation Award

TBA

Keynote Speaker

"Dr. Afia Mirza"(MBBS, MD (Ophthalmology), Fellow (Medical Retina)), Practicing Ophthalmologist and Retina Specialist, India

Dr. Afia MIRZA is a highly skilled ophthalmologist currently practicing as a private practitioner. She served as a Consultant Comprehensive Ophthalmologist at Sree Nethralaya Eye Hospital, Hyderabad, since July 2020. With extensive clinical and surgical expertise, she has previously worked at Netrajyoti Eye Hospital in West Bengal, Lions NAB Eye Hospital in Maharashtra, and Swarup Eye Centre in Hyderabad. She also gained valuable experience as a Visiting Phaco Surgeon at Aditya Hospitals in Maharashtra. Dr. Mirza completed a fellowship in Medical Retina, enhancing her specialization. Her surgical portfolio includes performing over 400 small incision cataract surgeries, more than 100 phacoemulsification procedures, and numerous pterygium excisions and dacryocystectomies. She actively contributes to academia by conducting seminars and training postgraduate and undergraduate students. Her academic foundation includes an MS in Ophthalmology from Osmania Medical College and an MBBS from Bhaskar Medical College, with numerous awards such as the G. Hanumantha Rao Memorial Gold Medal for top marks in Anatomy and multiple distinctions in her undergraduate studies. Her research includes studies on dietary sodium restriction's effect on diabetes and clinical profiles of anterior uveitis, with publications in reputed journals. Fluent in English, Hindi, Marathi, Telugu, and Urdu, she combines excellent leadership, communication, and organizational skills, making her a well-rounded ophthalmologist dedicated to advancing eye care through clinical excellence and academic involvement.