Research Students

Institute for Research in Applicable Computing

The Institute is home to approximately 80 research students across its various programmes. IRAC welcomes applications for research training opportunities at PhD, MPhil, and MSc by Research levels.

All applications are processed centrally through the University's Research Graduate School

To help guide your application, we've listed our staff members' research interests below. Prospective applicants are encouraged to contact relevant supervisors before applying.

Chamitha De Alwis:

  • AI Security
  • Blockchain
  • Network Security
  • 5G/6G
  • Blockchain

Tariq Alsboui:

  • Internet of Things (IoT)
  • Distributed Ledger Technologies (Blockchain and IOTA)
  • Distributed Intelligence
  • Wireless Sensor Networks (WSNs)

Edward Braund:

  • Unconventional Computing (biological, quantum, etc.)
  • Signal processing and information retrieval
  • Machine learning and AI
  • Brain-computer interfacing
  • Embedding systems

Marc Conrad:

  • Software Development
  • HCI
  • Virtual Reality
  • Security
  • Trust
  • Project Management
  • Societal aspects of computing
  • Software Localisation
  • Mathematics

Tess Crosbie:

  • Digital Humanities
  • Computational Literary Studies

Azadeh Esfandyari:

  • Data Mining and Machine Learning
  • Social Network Analysis
  • Natural Language Processing
  • Big Data Analytic

Xiaohua Feng:

  • AI in digital forensics

Imran Ghous:

  • Robust Control Systems
  • Two-Dimensional (2D) Systems
  • Switched Systems
  • Positive Systems
  • Nonlinear Systems
  • Lyapunov Stability Analysis
  • Linear Matrix Inequalities(LMIs)
  • Observer Design
  • Filter Design
  • Adaptive Control
  • Robotics and Manipulator Control
  • Autonomous Systems

Wei Huang:

  • Scheduling, Planning and Optimisation
  • Software engineering

Sehrish Sher Khan:

  • HCI
  • Interactive Design
  • AI
  • User Experience Design
  • Positive Technology
  • UI/UX
  • Positive Psychology
  • Emotions
  • Psychology Theories
  • Cross-Cultural Theories
  • Human Behaviour
  • Emerging Technology

Massoud Khodadazadeh:

  • Artificial Intelligence (AI)
  • Explainable AI (XAI)
  • Motion Capture
  • EEG Signal Processing
  • Brain-Computer Interfaces (BCI)
  • Neurotechnology
  • Machine Learning (ML)
  • Deep Learning
  • Robotics
  • Neurodevelopmental Research

Danai Korre:

  • Human-centred Artificial Intelligence
  • Conversational Artificial Intelligence
  • Human Computer Interaction
  • Educational Technology

Dayou Li:

  • Robot self-motivated learning
  • Cognitive robotics
  • Fuzzy logic
  • SLAM
  • Nanotechnology

Enjie Liu:

  • AI in Healthcare
  • 5G/6G
  • Trustworthy AI
  • Network protocols and systems

Yanran Li

  • Computer Vision
  • Artificial Intelligence
  • Trajectory Prediction
  • Weather Prediction
  • Spatial-temporal understanding
  • Human Motion Prediction
  • Graph neural networks
  • Videos Prediction
  • 3D Detection
  • Human motion understanding
  • Human interaction understanding

Hiroki Nishino

  • Programming languages
  • Creative computing
  • Digital arts
  • Computer music
  • Interaction design
  • Human-computer interaction

Renxi Qiu:

  • Robotics
  • Connected Intelligence
  • Applied Generative AI
  • Cloud Native Systems
  • Meta Reasoning
  • Human-in-the-loop Systems

Muhammad Habib Ur Rehman:

  • Human-Computer Interaction (HCI)
  • Information Retrieval
  • Computer Vision
  • Machine Learning for Image Processing

Mitul Shukla:

  • Affective computing in digital communication
  • Complex communication technologies
  • Ethical implications of mediated interaction
  • Off-the-shelf (OTS) technology innovation
  • Raspberry Pi/Arduino in autonomous systems
  • Low-cost drone development

Ghazanfar Ali Safdar:

  • Greener Communication and Networking – 5G/6G
  • Security in Networks – Wireless plus Wired Networks
  • Internet of Everything, Internet of Intelligent Things (IoIT), Industry 5.0
  • Military Wireless Communication and Challenges – Electronic Warfare and Systems
  • SCADA Systems, Industrial Control Systems

Sijing Zhang:

  • Real-time communication
  • Real-time scheduling
  • Schedulability analysis
  • Quality of Service, QoS
  • QoS provision
  • Wireless industrial control
  • Timed token protocol
  • Vehicular Ad-hoc network, VANET
  • Internet of Things, IoT
  • Controller Area Network (CAN)

telephone

University switchboard
During office hours
(Monday-Friday 08:30-17:00)
+44 (0)1234 400 400

Outside office hours
(Campus Watch)
+44 (0)1582 74 39 89

email

Admissions
admission@beds.ac.uk

International office
international@beds.ac.uk

Student support
sid@beds.ac.uk

Registration
sid@beds.ac.uk