Dr Anil Anthony BharathReader in Image Analysis
Letizia received a BSc and MSc in Bioengineering from the University of Naples Federico II. In 2014-15 while based at New York University Medical Center, she investigated a sonification method to enhance Alzheimer’s diagnosis, and in 2015-16, she worked as research associate at the Nanyang Technological University of Singapore in the department of computer vision using classification approaches for skin segmentation. More recently, Letizia has worked in the computing department at Goldsmiths analysing spontaneous fluctuations in neural responses for error-monitoring in pianists. Currently Letizia works as research associate at the Centre for Performance Science (a partnership of Royal College of Music and Imperial College London) in collaboration with Dr. Bharath. Her research focusses on the use of optical tracking and force sensitive-resistor sensors to estimate kinematics and kinetics of musculoskeletal hand and wrist models, including exploring ways of visually identifying hand poses that strong correlates with high biomechanical forces for a force sensing from vision.
Letizia GionfridaResearch Associate
Stef obtained their BSc and MSc in Mathematical Engineering, from University of Rome Tor Vergata, in 2011 and 2013, respectively. They are now completing a PhD in Neuroscience under the supervision of Anil Bharath and Simon Schultz, investigating decoding approaches to reconstruct visual stimuli from 2-photon calcium imaging in mouse V1. Furthermore, Stef is also working on a project combining deep learning with heart electrophysiology.
Stefania GarastoResearch Assistant
Tianhong received an BEng from University of Liverpool in 2015, in Electronics and Communication Engineering. Then he received an MSc from Imperial College London in 2016, in Communication and Signal Processing. After that he worked as a Research Assistant in Multi-Media Technology Lab in China to conduct the research in the area of object detection and recognition. In 2017, he joined the BICV Group to continue the research in the Deep Reinforcement Learning for Tracking. His research interests include reinforcement learning and deep learning for computer vision.
Tianhong DaiPhD Candidate
Alison is joining the BICV Goup as a PhD student under the supervision of Dr. Anil Bharath and Dr. Claire Higgins. Her PhD thesis focuses on the classification of cross-section images of the skin, to help in the detection of dermal tumours. She first joined the BICV Group for her MSc thesis, where she tried to model the evolution of skin lesions over-time using generative models. She completed a MSc in Biomedical Engineering at Imperial College London in 2017. Prior to that she studied physics and photonics at the ESPCI Paris and the Institut d’Optique Graduate School.
Alison PouplinPhD Candidate
Cher received her BSc in Neuroscience from the University of Bristol in 2013, and after graduating she worked in a lab at the University of Haifa under Dr Roman Shusterman, dealing with the properties of neurons in the olfactory bulb, using in-vivo electrophysiology methods. Cher has a keen interest in applying computational methods to the study of the brain, and interdisciplinary study. She now joined the lab on a 4-year EPSRC Neurotechnology Centre for Doctoral Training (CDT) PhD studentship to study high-throughout visualization and computational consequences of increased synaptic plasticity and axon regeneration in the living aged brain. This studentship is in collaboration with Vincenzo De Paola, Claudia Clopath and Anil Anthony Bharath in the Department of Bioengineering at Imperial College London. In her spare time Cher enjoys martial arts, dancing, computer games, strategy board games, anime and travelling.
Cher BassPhD Candidate
Antonia received an MEng from Imperial College London in 2015 with 1st class honours, in Biomedical Engineering with year abroad. For her final year project at the University Of California, Davis she worked with Prof Yong Jae Lee on the project “Unsupervised Grouping Of Objects With Varied View Points Using Video Information”. She is joining the group now in 2015 as a PhD student under the supervision of Dr Anil Bharath. Her research will focus on recognising objects across depictive styles.
Antonia CreswellPhD Candidate
Kai received a BA in Computer Science from the University of Cambridge in 2012. After graduating he worked as a front-end web developer for a startup before freelancing as a full-stack developer. He then joined Imperial College London in 2013 where he received a MSc in Biomedical Engineering, investigating the role of V1 and MT neurons in optical flow estimation under the supervision of Dr. Bharath. In 2014 he received a Department of Bioengineering PhD studentship to continue research in the BICV group, where he investigates deep reinforcement learning for visuomotor control. His areas of research are deep learning, reinforcement learning and computer vision. He is passionate about open source and organises the Deep Learning Network to promote deep learning research within and outside of Imperial.
Internships: Twitter Magic Pony (Jan-Apr ’17), Microsoft Research (Sep-Dec ’17), Facebook AI Research (Jan-Apr ’18), Google DeepMind (May-Sep ’18)
Kai ArulkumaranPhD Candidate
Dr Panayiotis Georgiou
Panayiotis S. Georgiou is an EPSRC Doctoral Prize Fellow at the department of Bioengineering. His main research interest include: development of the circuit theory for analysing memristors, bridging memristor theory with experiments, incorporating memristors in artificial neural networks for building adaptive/learning circuits. He is also working on research and development of software for medical applications with Dr Anil Bharath. He obtained a PhD in non-linear electronics and device modelling from Imperial College under the supervision of Prof S. Yaliraki, Prof M. Barahona and Dr E. Drakakis. His thesis dealt with the development of a general mathematical framework for analysing ideal memristors and improving the models of practical memristive devices.
Dr Panayiotis GeorgiouPostdoctoral Research Fellow
Dr Nerhun Yildiz
Nerhun Yildiz received the BS, MS and PhD degrees in 2004, 2007 and 2013, respectively, from Yildiz Technical University (YTU), Istanbul, Turkey, BS in Electronics and Communications Engineering and MS and PhD in Electronics Engineering. He currently holds an assistant professor position in YTU, Istanbul, Turkey. His major research interests lie in the areas of cellular neural networks, processor and computer architectures, image processing and digital filtering.
Dr Nerhun YildizPostdoctoral Research Associate
Dr Ioannis Alexiou
I am a Post-Doctoral Research associate with BICV group where I obtained my PhD supervised by Dr Anil Bharath. My research interest spans computational neuroscience, computer vision and machine learning. My main focus has been using findings from mammal vision to improve computer vision algorithms used for large-scale and fine-grained image classification. For example, image data that is first ‘mapped’ through scalable neural simulations is used to train hierarchical machine learning systems to classify or categorize scenes. The performance of the resulting system is then assessed against other state-of-the-art approaches.
Dr Ioannis AlexiouPostdoctoral Research Associate
Dr Lucas Hadjilucas
Lucas completed his MEng degree in Biomedical Engineering at Imperial College London in 2009. His final year thesis focused on developing wireless sensors for monitoring chronic low back pain under the supervision of Dr. Fernando Bello and Dr. Aakanksha Chhikara. During his 3rd year he also worked with Dr. Patrick Degenaar to implement a real time image processing algorithm on an FPGA to compare performance relative to a mobile phone implementation (Nokia N95). For his PhD, Lucas joined the BICV group at the Department of Bioengineering in Imperial College under the supervision of Dr Anil A. Bharath. His research focuses on computer vision with endoscopy for the detection and classification of colorectal polyps.
Dr Lucas HadjilucasPhD Candidate
Dr Jose Rivera-Rubio
Jose joined the BICV group in 2010 as an MSc student to work in the project “Features for the Visual Biopsy of Polyps”, applying computer vision techniques to the detection and classification of colorectal polyps, the main precursors of colon cancer. In 2011, he received the Department of Bioengineering PhD studentship that funds his research on applying computer vision to help blind and partially sighted people navigate in complex and outdoor/indoor environments. Prior to Imperial College, Jose obtained an MEng in Electrical and Electronic Engineering with 1st class honours from the University of Seville, Spain. Personal website.
Dr Jose Rivera-RubioPhD Candidate
Fatmatulzehra graduated from Electrical and Electronics Engineering from Erciyes University, Turkey in 2008. She completed the Master’s program of Biomedical Engineering at the same university in 2011. During the Master’s program, she studied the application of Fuzzy Cognitive Maps to the classification of Soft Tissue Sarcomas. In 2014, she joins the BICV group as a PhD student.
Zehra UsluPhD Candidate
Christoforos received an Engineering Diploma in Electrical and Computer Engineering from National Technical University of Athens, in 2011. He then moved to Imperial College London where he completed the MSc in Biomedical Engineering with Distinction. For his MSc thesis, he worked with Dr Holger G. Krapp on developing new techniques for fly gyroscope stimulation. He joined the BICV research group in 2012 as a PhD student, under the supervision of Dr Anil Anthony Bharath. His research focuses in vision-based analysis of human gait and behaviour. His areas of research interest involve machine learning/deep learning, biomedical engineering, human motion analysis, action recognition, security & surveillance applications and forensic video analysis.
Christoforos CharalambousPhD Candidate
Elias Abou Jaoude