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 static and mobile wireless sensor systems and networks.

19/05/17 We have a number of positions available for PhD and Post-Docs right now.

19/05/17 NEW! Please consider putting your WSN/IoT disaster papers into FAILSAFE (Sensys workshop)

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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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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 employs bio-inspired algorithms such as epidemic propagation and firefly synchronisation to create decentralised protocols that enable networks of low-resourced devices to self-organise and self manage. His current concern is both the implementation and verification of safety of such protocols for production use.

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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.

He is currently responsible for WEFWEBs project (funded by EPSRC) in AESE. 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.

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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 currently a Research Assistant and PhD student in the AESE laboratory and the Intel Collaborative Research Institute (ICRI). He is currently researching Energy Neutral Operation (ENO) of Wireless Sensor Networks (WSN). Specifically, by measuring the State of Health (SoH) of energy stores in ENO WSN systems can use this as an optimisation parameter to extend the longevity of ENO deployments without breaking existing guarantees of sustainability.

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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 Milan Kabáč

Milan Kabáč is a Research Associate in the AESE research group at Imperial College London, where he has been a member since January 2017. 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 Ivana Tomic

Ivana Tomic is currently working as 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 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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Mr Fengrui Shi

Fengrui is an RA on OrganiCity and is researching the OppNet service therein.

He investigates mobile crowdsensing systems focused on fundamentals issues such as the dynamics in mobile systems so as to better utilize human power to collect information, understand data and optimize resource allocation. He is 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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Mr 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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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 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 Zhijin Qin

Zhijin Qin is currently a Lecturer in Lancaster University and 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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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 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 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 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 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 Marija Milojevic Jevric

Marija was a Research Associate at Imperial College London until October 2017, working at Intel Collaborative Research Institute (ICRI) for Sustainable Connected Cities. She was part of the AESE group,working on Urban Wide IoT Systems project, as well as on European H2020 project Organicity.

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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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