Symposium on Smart Innovations for Biomechanical Engineering 2026
Innovative Biomechanics and Smart Applications for Healthcare, and Human Performance
Call for Papers — The Symposium on Smart Innovations for Biomechanical Engineering (SIBE 2026) is an interdisciplinary satellite event held in conjunction with the IEEE International Conference on Smart Innovations for Medicine and Engineering (SIME 2026). This symposium brings together researchers, engineers, clinicians, and industry leaders to explore cutting-edge advances in smart biomechanical systems, wearable technologies, intelligent prosthetics, AI-driven analysis, and digital healthcare.
Scope & Motivation
The convergence of biomechanical engineering with smart sensors, artificial intelligence, robotics, and digital health is revolutionising how we analyse human movement, restore motor function, enhance athletic performance, and deliver personalised medicine. The Symposium on Smart Innovations for Biomechanical Engineering provides a vibrant platform for theoretical developments, experimental methods, computational models, and intelligent applications that bridge mechanics, biology, and smart systems.
From musculoskeletal digital twins and soft exosuits to edge AI on wearables and closed-loop neuromodulation – this event fosters cross-disciplinary collaboration to shape the future of healthcare, human performance, and human‑centred innovation.
Symposium Chairs
Prof. Fafa Ben Hatira
Professor, INSAT, Carthage University, Tunisia
President & Founder, Tunisian Society of Biomechanics (ATBio)
Prof. Ben Hatira holds a PhD in mechanics applied to materials from UTC (France) and a BS in mechanical engineering from Ohio State University (USA). Her research focuses on biomechanics, finite element modelling, bone and vertebral structures. She leads interdisciplinary collaborations between medicine and biomedical engineering.
Prof. Ahmed Braham
Full Professor, INSAT, Carthage University, Tunisia
Prof. Braham received his PhD in electrical engineering from the National Polytechnic Institute of Toulouse, France. His expertise spans electrical engineering, diagnosis of induction motors, and reinforcement learning for maintenance decision-making. He actively contributes to intelligent systems applied to biomedical and industrial contexts.
Dr. Mehdi Meddeb
Assistant Professor in Orthopedic Surgery and Traumatology
Kassab Institute & Faculty of Medicine of Tunis, Tunisia
Dr. Meddeb earned his Medical Doctorate (MD) from the Faculty of Medicine of Tunis in 2019. He holds multiple specialised certifications: Biomechanics Applied to the Musculoskeletal System, Arthroscopy, Surgical Knee Pathology (Marseille, France), FIFA Diploma in Football Medicine, Injury Management for Team Sports, and Sports Medicine. Committed to modernising medical education, he also holds a 2025 certification in Digital Pedagogy from the Faculty of Medicine of Monastir. His expertise bridges clinical orthopaedics, sports medicine, and biomechanical applications.
Topics of Interest
Original contributions are solicited in, but not limited to, the following areas. Submissions bridging multiple categories are especially welcome.
1. Biomechanics & Computational Methods
- Human movement analysis
- Computational biomechanics and finite element analysis
- Neuromechanics and motor control
- Ergonomics and occupational biomechanics
- Biomechanics of aging and mobility
- Biomechanics of rehabilitation and recovery
- Musculoskeletal modeling and patient-specific digital twins
- Injury biomechanics and trauma prediction
2. Smart Sensors & Wearable Technologies
- Wearable health monitoring devices
- Smart sensors for physiological monitoring
- Internet of Medical Things (IoMT) for biomechanics
- Embedded systems for healthcare applications
- Sensor fusion and multimodal data analysis
- Smart textiles and e-textiles for biomechanical sensing
- Energy harvesting for self-powered wearables
3. Intelligent Prosthetics, Orthotics & Assistive Devices
- Intelligent prosthetics and orthotics
- Exoskeletons and assistive technologies
- Soft exosuits and compliant assistive devices
- Smart materials and actuators for prosthetics/orthotics (shape memory alloys, dielectric elastomers)
- 3D printing and additive manufacturing for personalized biomechanical devices
4. Robotics & Human-Machine Interaction
- Robotics in healthcare applications (rehabilitation, surgical)
- Augmented reality (AR) and virtual reality (VR) in biomechanics
- Human-robot interaction and shared control for exoskeletons/prosthetics
- Haptics, tactile feedback, and sensorized skins for assistive robotics
- Brain-computer interfaces (BCI) and neural interfaces for movement restoration
5. AI, Machine Learning & Data-Driven Approaches
- Machine learning for biomechanics
- Deep learning in motion analysis
- AI-based diagnosis and prediction systems
- Explainable AI in biomedical systems
- Computer vision for biomechanical applications
- Predictive modeling for injury risk assessment
- Data analytics for sports and health performance
- Edge AI and real-time processing on wearable/embedded devices
- Generative AI for biomechanical data augmentation and simulation
- Federated learning for privacy-preserving biomechanical analytics
6. Digital Health, Imaging & Personalized Systems
- Biomedical imaging and analysis
- Personalized healthcare systems
- Intelligent decision-support systems in healthcare
- Big data and digital twins in healthcare
- Digital biomarkers and remote patient monitoring in movement disorders
- Real-time biofeedback and closed-loop neuromodulation/rehabilitation systems
7. IoT, Structural & Implant Monitoring
- IoT and ML for biomechanical structure monitoring (smart implants, bone healing, joint replacement monitoring)
- Smart biomedical devices and instrumentation
- Biodegradable and bioresorbable smart implants
8. Ethics, Security & Translation
- Cybersecurity and privacy in healthcare technologies
- Ethical challenges in AI-driven healthcare
- Sustainable healthcare technologies (eco-design and lifecycle in biomechanical devices)
- Regulatory pathways and validation frameworks for AI/ML-based biomechanical devices
- Human-centered design and user acceptance of smart assistive technologies
Important Dates
All deadlines are firm. Authors are encouraged to submit well before the deadline.
Submission Guidelines
📄 Regular Papers
Substantial, completed research with comprehensive findings.
- Length: 4–6 pages (incl. figures, tables & references)
- Up to 8 references
- 15-minute presentation slot (incl. Q&A)
⚡ Short Papers (Work-in-Progress)
Preliminary results, novel ideas, ongoing projects with high potential.
- Length: 2–3 pages (incl. figures, tables & references)
- Up to 5 references
- 10-minute presentation slot (incl. Q&A)
Formatting: All papers must conform to the standard IEEE conference double-column format. Templates are available for LaTeX and MS Word.
Submission Portal: All manuscripts must be submitted electronically via the Official SIME Submission Portal (choose “Symposium on Smart Innovations for Biomechanical Engineering” track).
Review & Publication: Each submission will be peer-reviewed for technical merit and originality. Accepted and presented papers will be submitted for inclusion in IEEE Xplore® Digital Library (subject to IEEE quality requirements).
At least one author must register and present the work at the conference for inclusion in proceedings.
Collaboration
Tunisian Society of Biomechanics (ATBio)
Association Tunisienne de Biomécanique – promotes interdisciplinary research, innovation, education and collaboration in biomechanics, biomedical engineering, rehabilitation and smart healthcare technologies.
Contact
For symposium-related inquiries, special session proposals or partnership opportunities, please reach out to the Symposium Chair on:
📧 symposium contact: tunisocbiomech@gmail.com