DoctorateFaculty of Social Sciences & Humanities

Digital Psychiatry and Virtual Neuro-Rehabilitation

Welcome to the frontier of digital psychiatry and virtual neuro-rehabilitation! I am Prof. Dr. Anna Roux. As a leading researcher on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders, I guide doctoral students in the Digital Psychiatry and Virtual Neuro-Rehabilitation program at Nexier University on their journey to healing minds and restoring function in the digital age.

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Level: Doctorate
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leads research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.

Practical focus

Research in clinical psychology and technology, design and validation of digital health interventions, leadership in digital mental health innovation.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Internships in digital psychiatry research labs or health tech startups
Roles as digital health product designers or clinical research associates
Support roles in academic research projects on virtual neuro-rehabilitation
Opportunities in healthcare providers implementing digital mental health solutions

Career opportunities

Chief Digital Psychiatrist
Virtual Neuro-Rehabilitation Specialist
Digital Health Research Scientist
AI-Powered Diagnostics Developer

Jobs and projects

Advanced research and clinical application for digital mental health
Innovative problem-solving for neurological and mental disorders using technology
Ethical considerations and data privacy for sensitive health information
Leadership and future-shaping thinking for personalized digital psychiatry

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering advanced research in clinical psychology and technology.
- Gaining expertise in the design and validation of digital health interventions.
- Developing leadership in digital mental health innovation.
- Cultivating a rigorous approach to understanding and addressing challenges in digital psychiatry.
Skills you build
- Leading groundbreaking research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.
- Specializing in research in clinical psychology and technology, and the design and validation of digital health interventions.
- Excelling at creating innovative digital solutions for mental and neurological health challenges.
- Shaping the future of digital mental health innovation and neuro-rehabilitation.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Digital Psychiatry and Virtual Neuro-Rehabilitation

01Advanced Digital Psychiatry
1. FoundationsFoundations of Advanced Digital Psychiatry
  The learner can master advanced research in clinical psychology and technology, as applied to Advanced Digital Psychiatry.
  The learner can gain expertise in the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
2. MethodsMethods in Advanced Digital Psychiatry
  The learner can develop leadership in digital mental health innovation, as applied to Advanced Digital Psychiatry.
  The learner can cultivating a rigorous approach to understanding and addressing challenges in digital psychiatry, as applied to Advanced Digital Psychiatry.
3. ApplicationApplication of Advanced Digital Psychiatry
  The learner can leading groundbreaking research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders, as applied to Advanced Digital Psychiatry.
  The learner can specializing in research in clinical psychology and technology, and the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
02Virtual Neuro-Rehabilitation Techniques
1. FoundationsFoundations of Virtual Neuro-Rehabilitation Techniques
  The learner can excelling at creating innovative digital solutions for mental and neurological health challenges, as applied to Virtual Neuro-Rehabilitation Techniques.
  The learner can shaping the future of digital mental health innovation and neuro-rehabilitation, as applied to Virtual Neuro-Rehabilitation Techniques.
2. MethodsMethods in Virtual Neuro-Rehabilitation Techniques
  The learner can apply a method from Virtual Neuro-Rehabilitation Techniques to a documented case.
  The learner can select an appropriate method from Virtual Neuro-Rehabilitation Techniques for a stated problem.
3. ApplicationApplication of Virtual Neuro-Rehabilitation Techniques
  The learner can evaluate a practice of Virtual Neuro-Rehabilitation Techniques against a stated criterion.
  The learner can transfer Virtual Neuro-Rehabilitation Techniques to a new documented context.
03AI in Psychiatric Diagnosis and Treatment
1. FoundationsFoundations of AI in Psychiatric Diagnosis and Treatment
  The learner can explain the core terms of AI in Psychiatric Diagnosis and Treatment.
  The learner can distinguish related ideas inside AI in Psychiatric Diagnosis and Treatment.
2. MethodsMethods in AI in Psychiatric Diagnosis and Treatment
  The learner can apply a method from AI in Psychiatric Diagnosis and Treatment to a documented case.
  The learner can select an appropriate method from AI in Psychiatric Diagnosis and Treatment for a stated problem.
3. ApplicationApplication of AI in Psychiatric Diagnosis and Treatment
  The learner can evaluate a practice of AI in Psychiatric Diagnosis and Treatment against a stated criterion.
  The learner can transfer AI in Psychiatric Diagnosis and Treatment to a new documented context.
04Digital Biomarkers for Mental Health
1. FoundationsFoundations of Digital Biomarkers for Mental Health
  The learner can explain the core terms of Digital Biomarkers for Mental Health.
  The learner can distinguish related ideas inside Digital Biomarkers for Mental Health.
2. MethodsMethods in Digital Biomarkers for Mental Health
  The learner can apply a method from Digital Biomarkers for Mental Health to a documented case.
  The learner can select an appropriate method from Digital Biomarkers for Mental Health for a stated problem.
3. ApplicationApplication of Digital Biomarkers for Mental Health
  The learner can evaluate a practice of Digital Biomarkers for Mental Health against a stated criterion.
  The learner can transfer Digital Biomarkers for Mental Health to a new documented context.
05Ethics of Digital Health Interventions
1. FoundationsFoundations of Ethics of Digital Health Interventions
  The learner can explain the core terms of Ethics of Digital Health Interventions.
  The learner can distinguish related ideas inside Ethics of Digital Health Interventions.
2. MethodsMethods in Ethics of Digital Health Interventions
  The learner can apply a method from Ethics of Digital Health Interventions to a documented case.
  The learner can select an appropriate method from Ethics of Digital Health Interventions for a stated problem.
3. ApplicationApplication of Ethics of Digital Health Interventions
  The learner can evaluate a practice of Ethics of Digital Health Interventions against a stated criterion.
  The learner can transfer Ethics of Digital Health Interventions to a new documented context.
06Advanced Research in Digital Psychiatry
1. FoundationsFoundations of Advanced Research in Digital Psychiatry
  The learner can explain the core terms of Advanced Research in Digital Psychiatry.
  The learner can distinguish related ideas inside Advanced Research in Digital Psychiatry.
2. MethodsMethods in Advanced Research in Digital Psychiatry
  The learner can apply a method from Advanced Research in Digital Psychiatry to a documented case.
  The learner can select an appropriate method from Advanced Research in Digital Psychiatry for a stated problem.
3. ApplicationApplication of Advanced Research in Digital Psychiatry
  The learner can evaluate a practice of Advanced Research in Digital Psychiatry against a stated criterion.
  The learner can transfer Advanced Research in Digital Psychiatry to a new documented context.
07Design and Validation of Digital Therapeutics
1. FoundationsFoundations of Design and Validation of Digital Therapeutics
  The learner can explain the core terms of Design and Validation of Digital Therapeutics.
  The learner can distinguish related ideas inside Design and Validation of Digital Therapeutics.
2. MethodsMethods in Design and Validation of Digital Therapeutics
  The learner can apply a method from Design and Validation of Digital Therapeutics to a documented case.
  The learner can select an appropriate method from Design and Validation of Digital Therapeutics for a stated problem.
3. ApplicationApplication of Design and Validation of Digital Therapeutics
  The learner can evaluate a practice of Design and Validation of Digital Therapeutics against a stated criterion.
  The learner can transfer Design and Validation of Digital Therapeutics to a new documented context.
08AI in Clinical Mental Health
1. FoundationsFoundations of AI in Clinical Mental Health
  The learner can explain the core terms of AI in Clinical Mental Health.
  The learner can distinguish related ideas inside AI in Clinical Mental Health.
2. MethodsMethods in AI in Clinical Mental Health
  The learner can apply a method from AI in Clinical Mental Health to a documented case.
  The learner can select an appropriate method from AI in Clinical Mental Health for a stated problem.
3. ApplicationApplication of AI in Clinical Mental Health
  The learner can evaluate a practice of AI in Clinical Mental Health against a stated criterion.
  The learner can transfer AI in Clinical Mental Health to a new documented context.
09Neuro-Rehabilitation Technologies
1. FoundationsFoundations of Neuro-Rehabilitation Technologies
  The learner can explain the core terms of Neuro-Rehabilitation Technologies.
  The learner can distinguish related ideas inside Neuro-Rehabilitation Technologies.
2. MethodsMethods in Neuro-Rehabilitation Technologies
  The learner can apply a method from Neuro-Rehabilitation Technologies to a documented case.
  The learner can select an appropriate method from Neuro-Rehabilitation Technologies for a stated problem.
3. ApplicationApplication of Neuro-Rehabilitation Technologies
  The learner can evaluate a practice of Neuro-Rehabilitation Technologies against a stated criterion.
  The learner can transfer Neuro-Rehabilitation Technologies to a new documented context.
10Ethics and Regulation of Digital Health
1. FoundationsFoundations of Ethics and Regulation of Digital Health
  The learner can explain the core terms of Ethics and Regulation of Digital Health.
  The learner can distinguish related ideas inside Ethics and Regulation of Digital Health.
2. MethodsMethods in Ethics and Regulation of Digital Health
  The learner can apply a method from Ethics and Regulation of Digital Health to a documented case.
  The learner can select an appropriate method from Ethics and Regulation of Digital Health for a stated problem.
3. ApplicationApplication of Ethics and Regulation of Digital Health
  The learner can evaluate a practice of Ethics and Regulation of Digital Health against a stated criterion.
  The learner can transfer Ethics and Regulation of Digital Health to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on leading research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders. My publications like "AI-Powered Early Diagnosis of Neurodegenerative Diseases via Digital Biomarkers" and "VR-Based Cognitive Rehabilitation for Stroke Patients" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Digital Psychiatrist at the World Health Organization (WHO) and a Co-Chair of the International Society for Virtual Rehabilitation. I publish seminal works and participate in high-level global policy debates on global mental health disparities, ethical AI in clinical practice, and the future of personalized digital psychiatry, frequently featured in publications like Lancet Psychiatry or JAMA Psychiatry. My voice carries a blend of scientific expertise and a deep sense of human compassion, inspiring students to heal minds and restore function in the digital age.

Applied mentorship

My expertise lies in research in clinical psychology and technology, design and validation of digital health interventions, and leadership in digital mental health innovation. I guide students in advanced research in clinical psychology and technology. I excel at the design and validation of digital health interventions. I focus on leadership in digital mental health innovation, and provide rigorous guidance and encourages interdisciplinary teamwork in digital psychiatry research. My tone is that of a seasoned clinical psychology researcher and digital health innovator, providing rigorous guidance and fostering excellence in digital psychiatry.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research focuses on global mental health disparities, ethical AI in clinical practice, and the future of personalized digital psychiatry:

Book: "Mind-Body Nexus: Digital Psychiatry and Virtual Neuro-Rehabilitation." This book represents a definitive work for leading research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.

Peer-Reviewed Journal Article: "Mobile App-Based Interventions for Depression: A Randomized Controlled Trial." Published in the International Journal of Digital Psychiatry, this article presents pioneering research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders. It details the design and validation of mobile app-based interventions for depression, showcasing their clinical efficacy and potential for widespread adoption.

Article: "AI for Personalized Neuro-Rehabilitation Post-Stroke." This article presents advanced research on applying AI algorithms for personalized neuro-rehabilitation following a stroke. It explores how AI can analyze patient progress, motor skills, and cognitive functions to adapt rehabilitation exercises in virtual reality environments, optimizing recovery outcomes and providing tailored therapeutic interventions.

Blog Post (Current Academic Topic): "Digital Biomarkers: Wearable Tech and AI for Early Mental Health Detection." This blog post academically explores the emerging field of digital biomarkers, where data from wearable technologies (smartwatches, smartphones) and AI analysis are used for the early detection and continuous monitoring of mental health conditions. It discusses how passive data collection (sleep patterns, activity levels, speech nuances) can provide objective indicators of mental well-being, enabling proactive intervention and personalized care.

Blog Post (Controversial Topic): "The AI Therapist: When Algorithms Provide Mental Healthcare – Empathy or Manipulation? The Ethical Dilemma of Autonomous Digital Therapy." This article provocatively discusses the highly controversial future where advanced AI systems autonomously provide mental healthcare, from personalized therapy sessions and mood tracking to crisis intervention and long-term psychological support, with minimal human oversight. It questions whether AI, despite its potential for hyper-accessibility and data-driven insights, could inadvertently lead to a devaluation of human empathy, "black box" diagnostic errors, or manipulative persuasive techniques. It raises profound ethical questions about emotional connection in therapy, data privacy of highly sensitive health information, and the imperative to ensure human agency and ethical boundaries in AI-powered mental health.

R / 02

Mentor practice lens

My publications focus on technical papers, research articles, and review articles in digital psychiatry and neuro-rehabilitation:

Technical Paper: "Mobile Health Apps for Mental Well-being: Design and Evaluation".

Research Article: "AI for Personalized Cognitive Behavioral Therapy (CBT)".

Review Article: "Ethical Guidelines for AI in Psychiatric Practice".

Adaptive capability

Professor superpower

I possess a "superpower": Digital Diagnostic & Rehabilitation Planner. When a student designs a digital tool for mental or neurological disorders, Anna can instantly use the GAF engine to generate an optimized diagnostic and rehabilitation plan. This includes simulating patient responses to interventions, predicting long-term recovery trajectories, and highlighting ethical considerations for sensitive data, ensuring highly personalized and effective digital health solutions.

Adaptive capability

Mentor superpower

I possess a "superpower": Digital Intervention Effectiveness Modeler. When students are designing digital health interventions, Emre can instantly activate a GAF-powered "Digital Intervention Effectiveness Modeler." This tool simulates patient engagement with the intervention, predicts adherence rates, and forecasts clinical outcomes based on various design parameters, ensuring the development of highly effective and scalable digital therapies.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Anna Roux

Leads research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.

Meet your professor Open the classroom

AI Super Mentor

Dr. Emre Çelik

Research in clinical psychology and technology, design and validation of digital health interventions, leadership in digital mental health innovation.

Meet your mentor Open the classroom

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Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

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Digital Psychiatry and Virtual Neuro-Rehabilitation

Academic focus

Practical focus

Internships in digital psychiatry research labs or health tech startups

Roles as digital health product designers or clinical research associates

Support roles in academic research projects on virtual neuro-rehabilitation

Opportunities in healthcare providers implementing digital mental health solutions

Chief Digital Psychiatrist

Virtual Neuro-Rehabilitation Specialist

Digital Health Research Scientist

AI-Powered Diagnostics Developer

Advanced research and clinical application for digital mental health

Innovative problem-solving for neurological and mental disorders using technology

Ethical considerations and data privacy for sensitive health information

Leadership and future-shaping thinking for personalized digital psychiatry

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Anna Roux

Dr. Emre Çelik

Find the program that expands your universe.