Visit by the new Principal and Vice-Chancellor ‌Professor Sally Mapstone

On Tuesday the 5th of October we were pleased to host our new Principal and Vice-Chancellor ‌Professor Sally Mapstone to visit the School of Computer Science. During this visit she was able to meet with staff and students, visit our teaching spaces and visit some of our research labs. We discussed our new Engineering Doctorate (EngD) in Computer Science, our PhD programme, our new and existing MSc programmes, our growth in undergraduate single, joint and MSci degree programmes along with changes to our teaching and research space over the past few years.

From left to right, Simon Dobson, Ruth Letham, Steve Linton, Sally Mapstone, Aaron Quigley, Robin Nabel and Dharini Balasubramaniam

From left to right, Simon Dobson, Ruth Letham, Steve Linton, Sally Mapstone, Aaron Quigley, Robin Nabel and Dharini Balasubramaniam

We were also able to showcase some of our ongoing research which included a short talk from Adam Barker, on Distributed Systems and his recent time with Google, and demonstrations from Chris Jefferson, on visualisation of constraints, Vinodh Rajan Sampath, on Scribal Behaviour and Digital Palaeography, Gonzalo Mendez, on iVolver, Gergely Flamich and Patrick Schrempf, on RadarCat,  Hui-Shyong Yeo on WatchMi and David Morrison, on Beyond Medics.

We thank all the staff and students who made our new Principal feel welcome here in Computer Science.

 

 

Google@Computer Science in St Andrews

The School hosted another successful Google event on Wednesday. Students heard first hand, from four of our talented alumni, and had an opportunity to chat with current students who have completed internships. The well-received and very well attended session also covered mock interviews and rewarded students with the customary pizza.

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Aaron Quigley appointed as ACM SIGCHI Vice President for Conferences

Congratulations to Professor Aaron Quigley who has been appointed to the ACM SIGCHI Executive Committee, to serve as the Vice President for Conferences. The ACM Special Interest Group on Human Computer Interaction (SIGCHI) is the premier international society for professionals, academics and students who are interested in human-technology & human-computer interaction. SIGCHI sponsors or co-sponsors 24 conferences in addition to providing in-cooperation support for over 40 other conferences. This family of HCI conferences are held across the year and around the world.

As Vice-President for conferences, Aaron will be responsible for strategic planning for SIGCHI-sponsored conferences, overseeing all aspects of SIGCHI-sponsored conferences, chairing various boards and committees and working with other SIGCHI vice-presidents and the SIGCHI executive committee on policies affecting SIGCHI sponsored, co-sponsored, and in-cooperation conferences.

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Computer Science supports CodeFirst:Girls 2016

The School of Computer Science is proud to be supporting the 2016 Code First Girls programme, currently in its fourth run. Code First: Girls was originally the coding education arm of Entrepreneur First, a not-for-profit organisation which supports graduates building their own tech startups, but is now an independent organization by itself. CF: G is a social enterprise that aims to address the issue of getting more women into tech and tech entrepreneurship. This is done through two main brackets of activity:

  1. Building a community of tech-savvy young women. They currently run around 27 courses in a number of UK university locations from Southampton to St Andrews. They also run frequent career evenings at various tech companies (such as Twitter and Just Eat), as well as an annual conference and hackathons.
  2. Working with tech companies themselves. This is mainly looking at recruitment strategies, linking up recruiters with their community and running in-house staff coding courses.

The School has consistently run as one of CF:G’s most active and successful courses; running the beginners course (which covers basic front-end web development in HTML and CSS) for the fourth time now alongside the second run of a more advanced course – building on the beginner’s curriculum with the introduction of Python to build more powerful back-end elements.

Within the tech industry, women are often at a disadvantage due to a lack of technical knowledge; Code First: Girls exists precisely to address this educational disparity, and this is why the School is keen to see students from all disciplines and years of study participate in these informative, friendly and interactive sessions.

CodeFirstGirls Fall 2015

CodeFirst:Girls Fall 2015

CodeFirst:Girls 2015

CodeFirst:Girls 2015

Codefirst:Girls 2014

CodeFirst:Girls 2014

Text and images courtesy of Mary Dodd, Mary Chan, Shyam Reyal, Adeola Fabola and Vinodh Sampath.

PhD Viva Success: Michael Mauderer

Belated congratulations to Michael Mauderer, who successfully defended his thesis earlier this month. Micheal’s thesis, augmenting visual perception with gaze-contigent displays, was supervised by Dr Miguel Nacenta. Professor Aaron Quigley acted as internal examiner and Professor Hans Gellersen, from Lancaster University acted as external examiner.

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Computer Science supports Macmillan

The School hosted another successful Coffee Morning organised by Dr Ishbel Duncan. This year, September 30th is the UK’s annual biggest coffee morning in aid of MacMillan Cancer care. Some of the home baking and donations are pictured below. So far we’ve raised just over £120. Very, well done to everyone who participated. David Letham was named Best Baker.

UPDATE: The final amount raised by computer science was £173.30.

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Multi-modal Indoor Positioning: Trends and Challenges by Prof. Niki Trigoni, Oxford University

Abstract:

GPS has enabled a number of location based services outdoors, but the problem of localisation remains open in GPS-denied environments, such as indoors and underground. In this talk, I will discuss the key challenges to accurate and robust position estimation, and will describe a variety of sensor modalities and algorithms developed at Oxford to address this problem.

The talk will cover inertial, radio-based and vision-based localisation approaches and their advantages and disadvantages in different settings.

 

Short Bio:

Niki Trigoni is a Professor at the Oxford University Department of Computer Science and a fellow of Kellogg College. She obtained her PhD at the University of Cambridge (2001), became a postdoctoral researcher at Cornell University (2002-2004), and a Lecturer at Birkbeck College (2004-2007). Since she moved to Oxford in 2007, she established the Sensor Networks Group, and has conducted research in communication, localization and in-network processing algorithms for sensor networks. Her recent and ongoing projects span a wide variety of sensor networks applications, including indoor/underground localization, wildlife sensing, road traffic monitoring, autonomous (aerial and ground) vehicles, and sensor networks for industrial processes.

Event details

  • When: 8th November 2016 14:00 - 15:00
  • Where: Cole 1.33
  • Series: School Seminar Series
  • Format: Seminar, Talk

Quicker Sort by Dietmar Kühl, Bloomberg L.P.

 

Abstract:

Quicksort is a well-known sorting algorithm used to implement sort functionality in many libraries. The presentation isn’t really about the algorithm itself but rather about how to actually create an efficient implementation of the algorithm: a text-book implementation of the algorithm actually is not that quick (even if the pivot is chosen cleverly). It takes paying some attention to detail to improve the implementation significantly. This presentation starts with a simple implementation and makes incremental improvements to eventually yield a proper generic and fast sorting function. All code will be in C++ but it should be possible to follow the majority of the reasoning with knowledge of another programming language.

 

Short Bio:

Dietmar Kühl is a senior software developer at Bloomberg L.P. working on the data distribution environment used both internally and by enterprise installations at clients. Before joining Bloomberg he has done mainly consulting for software projects in the finance area. He is a regular attendee of the ANSI/ISO C++ standards committee, presents at conferences, and he used to be a moderator of the newsgroup comp.lang.c++.moderated. He frequently answers questions on Stackoverflow.

Event details

  • When: 25th October 2016 14:30 - 15:30
  • Where: Cole 1.33
  • Series: School Seminar Series
  • Format: Seminar, Talk

Running Before We have Evolved Legs: The Gap Between Theory and Practice in Evolutionary Algorithms by Prof. John McCall

Abstract:

Evolutionary algorithms (EA) has developed as an academic discipline since the 1960s. The subject has spawned major subfields such as swarm intelligence and genetic programming and is applied to a wide variety of practical real world problems in science medicine and engineering. EAs are often the only practical method of solving large combinatorial optimisation problems and have achieved best-known results on a variety of benchmark problems. The global academic EA community is highly active, supporting several large international conferences and high-quality international journals. Despite this activity, sustained over decades, the community has struggled to make significant progress on developing a satisfactory theory of EAs. At the same time, substantial progress has been made on developing more sophisticated EAs that are ever more powerful but ever less amenable to theoretical study. In this talk I will outline some of the main approaches to a theory of EAs and illustrate the gap between those EAs that can be theoretically analysed by those approaches and EAs that are being used in practice. I will conclude with some interesting current developments and key open questions.

 

Short Bio:

John McCall is a Professor of Computing Science at Robert Gordon University.  He works in the Computational Intelligence research group, which he founded in 2003. He has over twenty years research experience in naturally-inspired computing.  His research focuses on the study and analysis of a range of naturally-inspired optimization algorithms (genetic algorithms, particle swarm optimisation, ant colony optimisation, estimation of distribution algorithms etc.) and their application to difficult learning and optimisation problems, particularly real-world problems arising in complex engineering and medical / biological systems. Application areas of this research include medical decision support, data modeling of drilling operations, analysis of biological sequences, staff rostering and scheduling, industrial process optimization and bio-control. He has over 90 publications in books, journals and conferences. He has successfully supervised 13 PhD students and has examined over 15 PhD theses.

Event details

  • When: 11th October 2016 14:00 - 15:00
  • Where: Cole 1.33
  • Series: School Seminar Series
  • Format: Seminar

Welcome to new PhD students

We are delighted to introduce three female PhD students funded by the Chinese Scholarship Council.

Xue Guo (JC1.06)
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“I am Xue Guo, a returning student from Beijing. My PhD research into Complex Networks is supervised by Prof. Simon Dobson. Last seven years, I hopped over five places: four undergraduate years in BUPT and UCSD, one master year in St Andrews, and two gap years – one in Phoenix TV as a technology journalist, and one in Skyscanner as a software engineer. A three-to-four-year research in one town seems quite a LONG journey for me, but I am sure it will NOT be a LONGLY one in this warm academic community of School of Computer Science. My current research interest is modelling real world phenomena using complex networks, esp. smart city design. Born in Beijing, a city with a population of over 20 million, I have experienced most urban problems that a metropolis can suffer from. I would like to design a research tool for the city designers to generate solutions to traffic congestion and give advice on city infrastructure distribution. I am looking forward to learning from you and exploring more applications of complex networks. In my free time, I enjoy fencing, snowboarding, calligraphy and music.”

Yanbei Chen (JC1.19)
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“From 2011 to 2014, I was studying in Zhejiang University in China, with a speciality in Automation. In 2014, I started my master program in KTH Royal Institute of Technology in Sweden, with a major in System, Control and Robotics. In the summer of 2015, I enrolled in Tohoku University Engineering Summer Program in Japan. In the first half of 2016, I conducted my master thesis in the field of machine learning, deep learning and multimodal learning under the supervision of Dr. Atsuto Maki in Computer Vision and Active Perception Lab in KTH.Currently, with the scholarship from China Scholarship Council and University of St Andrews, I will start my PhD study under the supervision of Dr. Juan Ye. My research interests lie in the fields of activity recognition, machine learning, deep learning, and artificial intelligence. From now on, my research will focus on activity recognition based on sensor data from smartphone. In my leisure time, I enjoy music, travel, reading, and jogging.”

Sidi Zhan (JC1.11)
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“Hi, I am Sidi Zhan! I completed my BEng in Computer Science at Beijing Foreign Studies University, focusing on recommending doctors to patients in online healthcare QA community. I am now working as a PhD student in Computer Science under the supervision of Dr. Tristan Henderson and Dr. Juan Ye. My proposed research is to enhance peers mutual help and promote their social support in online healthcare community by using recommender to match-make the patient users. My research project will include collecting and analyzing users’ profiles and records data, so policies on user privacy protection will also be examined. I enjoy studying and living in St Andrews, the beautiful coastal city, very much. I am so willing to combine my hobbies with the life here by experiencing local culture, like jogging along the East Sands, singing in a chorus and going Ceilidh dances.”