Prof Julie McCann

McCann’s work centres around architectures, algorithms, protocols and tools that allow computer systems to self-adapt to their environment and self-organise to improve their performance, quality or ability to scale and survive. This work has been applied mainly to wireless sensor systems, IoT and Cyber-physical systems.

We have a number of Post-Docs positions available right in the coming weeks (November 2019) see:




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Dr Fatma Benkhelifa

Dr. Fatma has joined the AESE research group at Imperial College London, as a research associate in January 2018. Her research interests include, but not limited to, the radio frequency energy harvesting in wireless communication systems, the resource allocation in low power wide area networks, the spatiotemporal modelling of wireless powered device-to-device communications, etc.

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Mr Youssef Altherwy

Mr. Altherwy joined AESE Group as a PhD student in 2017 after completing a Master’s degree in Wireless Sensor Networks at University of Alberta, Alberta, Canada. He is interested in Sensing without Sensors type of applications where he is looking to employ different signal processing techniques for medical, agricultural, and Industrial applications.

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Ms Pamela Bezerra

PhD student at AESE group since 2015. Works with energy savings in wireless sensor networks research.

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Mr Laksh Bhatia

Laksh Bhatia completed his Masters in Embedded Systems. He is currently working as a Research Assistant in the AESE group at Imperial College London. His research interests include Low-Power Wide Area Networks, Wireless Sensor Networks and Cyber Physical Systems.

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Dr Michael Breza

Dr. Breza completed his PhD in the AESE group in 2013. His work focuses on ensuring the operational robustness and reliability of distributed sensor systems deployed in adverse environments such as space. He does this by studying the causes and rates of failures on distributed sensor systems. His current interest is in failure models of sensors and their communication networks, and the way that these failures influence the operation of systems that rely on their data. Example systems include control systems for water distribution and recycling networks, and industrial processes.

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Dr Po-Yu Chen

Po-Yu has joined AESE group, Imperial College at the start of October 2011. He got his Ph.D. in 2016 and is currently looking at the topic of big data analytics in distributed systems such as Internet of Things (IoTs) and cyber-physical systems (CPS). His work focuses on the following topic:

  • Anomaly detection in non-stationary time series.
  • Feature extraction and dimensionality reduction techniques for large scale time-series data.
  • Similarity search, correlation estimation, and pattern recognition between distrusted cross-discipline data streams.

Po-Yu has been working on difference research project including:

  • WEFWEB (funded by EPSRC) – As our water, energy, food and waste systems are interconnected, and impacted by climate and demographic change, this nexus seeks to define the interdependencies between the different systems and improve our understanding and hence ability to effectively predict and manage them;  The ultimate goal is to have some insights which help to ensure the overall water, energy and food security among the globe.
  • LPWAN Technology (funded by NEC) – One of the most important factors that enables the quick development of Internet of Things (IoT) is the newly developed low-power wide-area network (LPWAN) technologies such as LoRa and NBIoT. In this project we propose solutions to the challenges (e.g. link quality assessment and effective handover via neighbourhood) when applying LPWAN in a city-scale application.
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Mr Michael Johnson

Michael is a Ph.D. student at Imperial College London. His research focus is integrated self-optimising cyber physical systems for space exploration and includes a number of Interplanetary CubeSat and Thin-Film spacecraft flight projects to demonstrate the utility of this approach on orbit.

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Dr Cong Zhao

Dr. Cong Zhao is currently a Research Associate in the AESE group at Imperial College London. His research interests include meta learning, federated learning, and edge intelligence.

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Professor Shusen Yang

Shusen Yang ( is currently a professor at Xi’an Jiaotong University as well as a Visiting Fellow in the AESE group. Before that he was a lecturer in Liverpool University. Shusen was a Research Associate in the Intel Collaborative Research Institute on Urban IoT, hosted in the AESE group and before that a PhD student  with Prof McCann. Here he researched Distributed Optimisation in Dynamic Wireless Sensor Networks.

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Dr Weiren Yu

Weiren Yu is now a Lecturer of Computing Science at Aston University as well as an Honorary Research Fellow at Imperial College London. Prior to that, he was a postdoctoral research associate in the Adaptive Embedded Systems Engineering (AESE) Laboratory in the Department of Computing, Imperial College London (ICL). Since February 2014, he has been involved in the NEC project named “Big Data Technologies for Smart Water Supply Systems”. He obtained his PhD from the School of Computer Science and Engineering at the University of New South Wales (UNSW), Australia in 2014. His principle research areas include web information retrieval, big data management, graph databases, and sensing technologies for the Internet of Things (IoT) applications.

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Dr Anqi Fu

Anqi Fu is a Research Associate in the AESE group of Imperial College London and The Alan Turing Institute. He received a Ph.D. in Control Systems from Delft University of Technology in 2018. His main research interests are wireless networked control systems, cyber-physical system security, and hybrid systems.

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Dr Babu Choudhary

Babu is passionate about developing new technologies having transformative potential. Currently, He is involved in the further development of the CogniSenseTM technology which lets you monitor machines using RF signal non-invasively, and we believe this is set to revolutionize the Industrial IoT space.

Babu’s PhD research was about how we can do Sensing without Sensors using RF signal. His expertise is around Signal Processing, Wireless Communication and Systems Modelling.

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Mr Greg Jackson

Greg Jackson is a Researcher in the AESE laboratory. He is currently working with HDB, the Housing Development Board of Singapore. The project is part of the broader Smart Singapore initiative and involves creating efficiencies in the built environment to promote longevity in their critical infrastructure.

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Dr Milan Kabáč

Milan Kabáč was a Research Associate in the AESE research group at Imperial College London from January 2017 to 2018. He completed his Ph.D. in Software Engineering at University of Bordeaux in 2016. His research interests lie in the areas of software engineering, domain-specific languages and programming frameworks. His work focuses on techniques for supporting the design and programming of applications for large-scale smart spaces comprising massive amounts of sensors. He is currently investigating how software engineering techniques and design languages can be leveraged to enable the deployment, execution and maintenance of multiple applications over a single sensor network infrastructure.

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Dr Zhijin Qin

Zhijin Qin is currently a Lecturer in Lancaster University and Research Fellow in the AESE group. While in AESE she was part of the  ICRI at Imperial College London. Her recent research interests include:

  1. Low-power wide-area networks in IoT;
  2. Compressive sensing & matrix completion in wireless communications;
  3. Non-orthogonal multiple access in 5G networks.
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Mr Fengrui Shi

Fengrui is a PhD student.

He investigates mobile crowd service systems focused on fundamentals issues such as the dynamics in mobile systems so as to better utilise human power to collect data, share mobile resources and optimise resource allocation. He also investigates blockchain powered incentivisation schemes for supporting these mobile crowd systems.

He was an RA on OrganiCity and worked on the OppNet service. He was also affiliated to Intel Collaborative Research Institute to work on novel ideas for sustainable and collaborative cities.

Before Imperial, He obtained MSc in Electrical Engineering and Information Technology from ETH Zurich and BSc in Electronics & Information Engineering from Zhejiang University.

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Dr Ivana Tomic

Ivana Tomic is a Research Associate in the AESE group at Imperial College London. Her research interests include security of cyber-physical systems and IoT, distributed aperiodic control communications protocols and their impact on security, and optimal control.

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Dr Pedro Baiz

Pedro has a background in mechanical engineering, with an early exposure to the oil industry. After Pedro’s early work experience in industry, he went back to academia to complete a PhD in aeronautical engineering at Imperial College. Pedro then worked as a university researcher and lecturer on a variety of computational projects with companies such as Airbus and Rolls Royce at Imperial College. Pedro has a deep knowledge of advanced modelling techniques for structural engineering and data analysis, including remote condition monitoring and machine learning. Pedro has extensive experience with a variety of programming languages (e.g. Python, R), Big Data services and technologies such as Amazon Web Services (EC2, ElasticBeanStalk, Glacier, S3, among many others) and MicroService Architectures (e.g. big data analytics platforms for IoT). More recently, Pedro was a Senior Data Science Consultant at Amey Plc involved in a variety of data analytics projects with some of the largest infrastructure owners/managers in the UK (e.g. London Underground). Currently, Pedro is the co-founder and CEO of Wiscont Co. Ltd., a UK-China joint venture specialising in big data and IoT research and applications.

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Dr Yunxi Li

Dr. Yunxi Li finished his PhD in Electrical Engineering from Cambridge University in 2015. His research mainly focused on fibre optics, communication theory, and information theory. He earned his MSc degree from UCL, where he was awarded the IEEE Best MSc Communication Project Prize in 2006 for his research in applying decision-feedback neural networks to compensate for fiber nonlinear and dispersion. He also holds a BSc degree in Electrical Engineering from Sun Yat-sen University, China. Dr. Li joined Amey Plc in 2015 as a senior consultant/ data science specialist, and was involved in several projects of predictive asset maintenance for London Underground and Heathrow Airport, focusing on big data analytics, machine learning, and software development. Dr. Li used to work in the R&D Centre of Comba Telecom, where he developed several products used in 3G communication and managed their test and mass production. Dr. Li is the co-founder and CEO of Wiscont Co. Ltd., a UK-China joint venture specialising in big data and IoT research and applications.

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Dr Usman Adeel

Usman Adeel was PhD student at the AESE group, Imperial College London until 2015. After this he continued his collaboration with the group working for Intel Urban IoT where he is researching the exploitation of mobile nodes (Mules) in duty-cycled WSNs to achieve low-latency and maximize the lifetime of the network. He is working on extraction the mobility information from the network and utilizing it efficiently for data transfer. Usman is now a Senior Lecturer in Teesside University, UK.

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Dr Reza Akhavan

Reza is currently at the Future Cities Catapult. Until November 2016 he was a Research Associate at Imperial College London.  He was a Task Leader of FP7 WISDOM Project. He received  his PhD in Telecommunications Research from King’s College London in 2013. Prior to this position, he was a Senior Researcher and an M2M Expert with the Research & Innovation, British Telecom (BT), UK. Before joining BT, he was a Networks Researcher with the M2M Group, Vodafone Group Research and Development, UK from 2010 to 2013. He participated in various projects such as next generation of location technologies and was a task leader in FP7 EXALTED (Expalnding LTE for Devices) project. Moreover, he worked on JSPS’s 60 GHz project at Tohoku University, Japan in 2010. Whilst doing an M.Sc. programme he was qualified to participate in HSDPA project offered by Ericsson in 2006. His research interests are Internet of Things (IoT), Smart Cities, Wireless Sensor Networks (WSN), TV White Space, RPL (IPv6 Routing Protocol for Low Power and Lossy Network), 60 GHz mmWave, 5G, and Wireless Sensor Networks. He is a member of IEEE.

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Dr Eskindir Asmare

Eskindir was a Research Associate at ICRI Cities in AESE and left 2015. His recent and past research has been in the area of distributed and pervasive systems. His PhD thesis dealt with a policy-based distributed self-management framework for mobile autonomous systems.

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Dr Mehrdad Babazadeh

Mehrdad was with the AESE research group from September 2016 – July 2017. He got his PhD in 2010 on Fault Detection and Energy Management in Wireless Sensor Networks in Germany. He has already been working for Industries and Academies for about 20 years in Germany, Denmark and Iran. He is currently working on implementation of Anomaly detection in the water networks using wireless sensor network.

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Dr Sokratis Kartakis

Between October 2013-2017, Sokratis Kartakis was a PhD candidate at Imperial College London, at the AESE Laboratory under Dr. Julie A. McCann supervision. He is currently working for Intel Labs Europe.  His research is based on Internet of Things (IoT), Cyber-Physical Systems (CPS)  involved in the “Big data technologies for smart water networks” project of NEC Company. Currently, he focuses on filling the gap between theory and real deployments, by extending and applying the following domains into Smart Water Networks:

  1. Data reduction techniques such as Compressive Sensing (CS) and lossless compression
  2. Edge processing with in-node anomaly detection algorithms
  3. Low Power Wide Area (LPWA) communication technologies
  4. Smart scheduling algorithms for sustainable Wireless Sensor Networks (WSN)
  5. Communication optimization based on event-trigger control
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Dr Pedro Martins

Pedro’s research interests lie in the intersection of cyber-physical systems, programming language design, ubiquitous computing and game development. Some of his previous work involved designing a library for autonomicity in game development and language principles for context-awareness in functional programming. He is currently working with practical deployments of sensor networks for smart city applications.

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Dr Yad Tahir

Yad is currently a second-year Ph.D student at Imperial College London. Yad’s research interests mostly lie in ensuring fairness in the context of embedded systems containing different resource types. He considers the problem of fair resource utilisation amongst users with heterogeneous resource requirements, and fairness can be guarantee in distributed embedded systems with limited resources.

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Dr Di Wu

Di Wu is currently an Associate Professor at Hunan University-HNU and until 2015 was a Research Associate at Imperial College London and Intel Collaborative Research Institute for Sustainable Connected Cites (ICRI-Cities). He received his Ph.D. degree in Computer Science from the University of California, Irvine, USA in 2013. He was a Staff Research Associate at the University of California, Irvine, USA; a Student Research Associate at the Stanford Research Institute, Menlo Park, USA; and a Visiting Researcher at IBM Research, China. His research interests include Wireless Networks and Mobile Computing, Internet-of-Things and Cyber-Physical Systems, Smart Cities and Big Data. He is a member of IEEE and ACM.

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