The University of Southampton

Published: 4 February 2020
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This year's Engineering and Technology Careers Fair, taking place on Thursday 13 February, will welcome an outstanding range of companies at the forefront of autonomous systems development and technology integration.

The Fair has a strong reputation for the quality of companies that attend and for the important role it plays in enabling Southampton students to meet potential employers across many sectors, including digital technology, finance, security, consultancy, transport, and communications.

International industry leaders such as, Cisco, Bloomberg, IBM, Nike, Goldman Sachs, and Schlumberger will be joining some of the UKs most respected consultancies such as Roke Manor Research and Northrop Grumman, with significant representation from niche startup companies in areas such as artificial intelligence, data, finance, and cyber security.

Joyce Lewis, Careers Fair Director, says: "The Fair provides a fantastic opportunity for students to get a really wide-ranging view of the breadth of opportunities for them in the engineering and technology industries. Southampton students already have an excellent reputation for their success in the jobs market and the quality of the companies attending the Fair is a great endorsement of this".

The event will take place in Garden Court on Highfield Campus, with around 2,000 students expected to attend from all University departments. In addition to the global companies attending, there will also be strong representation from the University of Southampton Science Park at Chilworth, with companies looking for the brightest students to join their high-tech ventures.

The event, which has been running for 12 years, is organised by the Universitys Faculty of Engineering and Physical Sciences.

Professor Bashir Al-Hashimi, Dean of Engineering and Physical Sciences, says: "We very much welcome the high quality of companies coming to Southampton to employ our students. They are taking part in the Fair because they are aware of the quality of our students and their ability to innovate and support the development of future technologies".

There are very exciting careers to be built in these new industries and we value our strong links with companies and the excellent relationships built up over time. Many of the stands will include Southampton graduates, demonstrating the contribution that our students are making to the UKs industrial and business success.

Students attending the Fair can expect strong interest from leading employers across the technology industries and from companies that are seeking excellent graduates with high-level competence in technology and engineering as well as business and the sciences. Many University of Southampton opportunities will also be of interest to the students including the Future Worlds startup accelerator, research group opportunities, as well as new directions in teaching.

Our environment is based on our strong research reputation and continues to ensure that companies want to promote their opportunities to our students, Bashir adds. For our part we do our best to increase our students awareness of career opportunities, right from their very first week at the University. We want to prepare them to find the job they want, and raise their aspirations of future achievement and support their future success.

The Fair will run from 11.00am - 3.30pm in Garden Court, B38, on Thursday 13 February. For further information contact Joyce Lewis, tel. +44(0)23 8059 5453; j.k.lewis@ecs.soton.ac.uk.

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Published: 3 February 2020
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Vladi Sassone Director of Southampton's Cyber Security Academy

Academics, industry experts and policymakers are uniting to tackle digital research challenges through a new network led by a consortium of five universities.

The Security, Privacy, Identity, Trust and Engagement NetworkPlus (SPRITE+), which is co-directed by the University of Southampton's Professor Vladi Sassone, will coordinate a multi-disciplinary approach to address current and future problem themes.

Over 100 attendees marked the launch of the network last month in an evening reception in Manchester's Whitworth Art Gallery and a two-day meeting of Expert Fellows and stakeholders that debated the spectrum of issues.

Professor Sassone, Director of Southampton's Cyber Security Academy, says: I am proud to be a co-director of SPRITE+. This national network starts with the ambition to gather together the multi-disciplinary community of trust, identity privacy and security researchers, and to do so in lasting fashion. Southampton's main role in the network will be to organise professional and industrial training and this fits very well with our ongoing commitment in the Cyber Security Academy.

SPRITE+ is funded by the Engineering and Physical Sciences Research Council and led by the University of Manchester, Imperial College London, Lancaster University, Queen's University Belfast and the University of Southampton. The hub has more than 120 Expert Fellows from academic and non-academic contexts covering disciplines including engineering, social sciences and humanities.

Professor Emma Barrett, a Professor of Psychology, Security and Trust at the University of Manchester and Director of Sprite+, says:I am delighted at the amount of interest, enthusiasm and energy that SPRITE+ has already generated. We have had engagement from across the academic community and from research end users in business, government, police and civil society. All are eager for more collaboration on issues of security, privacy, identity and trust in our digital world, and the SPRITE+ team is looking forward to creating opportunities to make that happen.

You can find out more about the Network on the SPRITE+ website.

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Telephone:
+442380597695
Email:
e.karafili@soton.ac.uk

 

https://scholar.google.com/citations?user=cmVbXGQAAAAJ&hl=en&oi=ao
  • ECS Deputy Academic Integrity Officer
  • Security by Design Champion at of the GCHQ/EPSRC Academic Centre of Excellence for Cyber Security Education (ACE-CSE) Southampton
  • Leader of Teaching Methods Innovation of the GCHQ/EPSRC Academic Centre of Excellence for Cyber Security Education (ACE-CSE) Southampton

 

Erisa Karafili is a Lecturer (Assistant Professor) in Cybersecurity at the University of Southampton. Previously, she was a Marie Curie Fellow at the Department of Computing, Imperial College London. During her Marie Curie project, called AF-Cyber, Erisa investigated the problem of attributing cyber-attacks and focused on constructing techniques and tools to help forensics analysts during cyber-forensics investigation of cyber-attacks. Previously, she was an RA at Imperial College London and a PostDoc at the Technical University of Denmark. Erisa obtained her PhD from the University of Verona, with a special focus on non-classical logics applied to security problems in multi-agent systems. Her main research areas are Formal Methods applied to Security and Privacy problems, Data Sharing in Cloud Environments, Data Access Control, Threat Models for IoT and Hybrid Systems.

Research

Research interests

  • Formal Methods techniques applied to Security problems
  • Attributing and Investigating Cyber Attacks
  • Threat Models for IoT devices and Hybrid systems
  • Secure Data Sharing/Re-Using
  • Applying Argumentation and Knowledge Representation for Cyber Security

Publications

Karafili, Erisa and Lupu, Emil (2017) Enabling data sharing in contextual environments: policy representation and analysis. In SACMAT '17 Abstracts: Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies. The Association for Computing Machinery. 231–238 . (doi:10.1145/3078861.3078876).

Karafili, Erisa, Wang, Linna and Lupu, Emil (2020) An argumentation-based reasoner to assist digital investigation and attribution of cyber-attacks. Forensic Science International: Digital Investigation, 32 (S), [300925]. (doi:10.1016/j.fsidi.2020.300925).

Karafili, Erisa, Cristani, Matteo and Viganò, Luca (2018) A formal approach to analyzing cyber-forensics evidence. Lopez, Javier, Zhou, Jianying and Soriano, Miguel (eds.) In Computer Security: ESORICS 2018. Springer. pp. 281-301 . (doi:10.1007/978-3-319-99073-6_14).

Rasga, João, Sernadas, Cristina, Karafili, Erisa and Viganò, Luca (2020) Time-stamped claim logic. Journal of IGPL, (1367-0751). (doi:10.1093/jigpal/jzaa001).

Karafili, Erisa, Valenza, Fulvio, Chen, Yichen and Lupu, Emil (2020) Towards a framework for automatic firewalls configuration via argumentation reasoning. In 6TH IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT). 4 pp . (In Press)

Spanaki, Konstantina, Karafili, Erisa, Sivarajah, Uthayasankar, Despoudi, Stella and Irani, Zahir (2021) Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations. Production Planning and Control. (doi:10.1080/09537287.2021.1882688).

Karafili, Erisa and Valenza, Fulvio (2020) Automatic firewalls’ configuration using argumentation reasoning. Saracino, A. and Mori, P. (eds.) In Third International Workshop on Emerging Technologies for Authorization and Authentication (ETAA 2020 @ESORICS). Springer.. (doi:10.1007/978-3-030-64455-0_8).

Karafili, Erisa, Spanaki, Konstantina and Despoudi, Stella (2021) AI applications of data sharing in agriculture 4.0: A framework for role-based data access control. International Journal of Information Management, 59, [102350]. (doi:10.1016/j.ijinfomgt.2021.102350).

Corbett, Jack and Karafili, Erisa (2021) Private data harvesting on Alexa using third-party skills. In 4th International Workshop on Emerging Technologies for Authorization and Authentication (ETAA) @ESORICS2021. Springer.. (In Press)

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Publications

Li, Bohan (2020) Dataset for: Self-Interference Cancellation and Channel Estimation in Multicarrier-Division Duplex Systems with Hybrid Beamforming. University of Southampton doi:10.5258/SOTON/D1523 [Dataset]

Li, Bohan, Yang, Lieliang, Maunder, Robert and Sun, Songlin (2020) Self-interference cancellation and channel estimation in multicarrier-division duplex systems with hybrid beamforming. IEEE Access, 8, 160653-160669, [9184063]. (doi:10.1109/ACCESS.2020.3020910).

Li, Bohan (2021) Dataset for: Resource Allocation in Millimeter-Wave Multicarrier-Division Duplex Systems with Hybrid Beamforming. University of Southampton doi:10.5258/SOTON/D1911 [Dataset]

Li, Bohan, Yang, Lie-Liang, Maunder, Robert and Sun, SongLin (2021) Resource allocation in millimeter-wave multicarrier-division duplex systems with hybrid beamforming. IEEE Transactions on Vehicular Technology, 70 (8), 7921 - 7935, [9477180]. (doi:10.1109/TVT.2021.3095226).

Li, Bohan (2021) Dataset for: Multicarrier-Division Duplex: A Duplexing Technique for Shift to 6G Wireless Communications. University of Southampton doi:10.5258/SOTON/D1968 [Dataset]

Li, Bohan, Yang, Lie-Liang, Maunder, Robert, Xiao, Pei and Sun, Songlin (2021) Multicarrier-Division Duplex: A Duplexing Technique for Shift to 6G Wireless Communications. IEEE VechicularTechnology Magazine, 16 (4), 57-67. (doi:10.1109/MVT.2021.3113881).

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Research

Research interests

machine learning, deep learning, finance, stock prediction

Publications

Obthong, Mehtabhorn, Tantisantiwong, Nongnuch, Jeamwatthanachai, Watthanasak and Wills, Gary (2020) A survey on machine learning for stock price prediction: algorithms and techniques. 2nd International Conference on Finance, Economics, Management and IT Business, Vienna House Diplomat Prague, Prague, Czech Republic. 05 - 06 May 2020. pp. 63-71 . (doi:10.5220/0009340700630071).

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Published: 20 January 2020
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New detection software to fight illegal trafficking of wildlife

New detection software created at the University of Southampton is using artificial intelligence to fight the illegal trafficking of wildlife.

The FloraGuard project, led by criminologist Dr Anita Lavorgna and computer science lecturer Dr Stuart Middleton, extracts data from hundreds and forums and marketplaces to alert authorities to suspicious behaviour.

The commerce of exotic wild plants has increased in Western countries over the past 60 years, triggering a rise in illegal trades that threaten and destroy numerous species and important natural resources.

The Southampton research, which is partnered with the Royal Botanic Gardens at Kew and the UK Border Force, converts information into charts, diagrams and pictures which can be used in investigations or to trigger new ones.

Read the full article in the University's Research Highlights section.

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Telephone:
+442380595854
Email:
S.Hu@soton.ac.uk

 

http://personal.southampton.ac.uk/sh2e19/
https://shiyanhucps.github.io/

Professor Shiyan Hu received his Ph.D. in Computer Engineering from Texas A&M University in 2008. He is the Professor and Chair in Cyber-Physical System Security at University of Southampton, and he had served as the Director of Cyber Security Academy. His research interests include Cyber-Physical Systems and Cyber-Physical System Security, where he has published more than 150 refereed papers, including 70+ in IEEE Transactions. He is an ACM Distinguished Speaker, an IEEE Systems Council Distinguished Lecturer, a recipient of the 2017 IEEE Computer Society TCSC Middle Career Researcher Award, and a recipient of the 2014 U.S. National Science Foundation (NSF) CAREER Award. His publications have received distinctions such as the 2018 IEEE Systems Journal Best Paper Award, the 2018 IEEE TCSC Most Influential Paper Award, the 2017 Keynote Paper in IEEE Transactions on Computer-Aided Design, the Front Cover Paper in IEEE Transactions on Nanobioscience in March 2014, Multiple Thomson Reuters ESI Highly Cited Papers 2017-2020, etc. His research has been featured in various public media such as National Science Foundation News Headlines, Science Daily, CBS, IEEE Spectrum, and Communications of ACM. He is the Chair for IEEE Technical Committee on Cyber-Physical Systems. He is the Editor-In-Chief of IET Cyber-Physical Systems: Theory & Applications. He was the 2020 Editor-in-Chief Search Committee Chair for ACM Transactions on Design Automation for Electronic Systems. He serves/served as an Associate Editor for IEEE Transactions on Computer-Aided Design, IEEE Transactions on Industrial Informatics, IEEE Transactions on Circuits and Systems, ACM Transactions on Design Automation for Electronic Systems, and ACM Transactions on Cyber-Physical Systems. He is also a Guest Editor for eight IEEE/ACM journals such as Proceedings of the IEEE and IEEE Transactions on Computers. He has held chair positions in many conferences. He is a Member of European Academy of Sciences and Arts, a Fellow of IET, and a Fellow of British Computer Society.

More information is at http://personal.southampton.ac.uk/sh2e19/ and https://shiyanhucps.github.io/

Research

Research interests

Cyber-Physical Systems (CPS), Cyber-Physical System Security, Smart Energy CPS

Publications

Liao, Chen and Hu, Shiyan (2014) Physical-level synthesis for digital lab-on-a-chip considering variation, contamination and defect. IEEE Transactions on Nanobioscience, 13 (1), 3-11. (doi:10.1109/TNB.2013.2294943).

Liu, Yang, Hu, Shiyan and Ho, Tsung-Yi (2016) Leveraging strategic detection techniques for smart home pricing cyberattacks. IEEE Transactions on Dependable and Secure Computing, 13 (2), 220-235, [7115920]. (doi:10.1109/TDSC.2015.2427841).

Seshia, Sanjit, Hu, Shiyan, Li, Wenchao and Zhu, Qi (2017) Design automation of cyber-physical systems: Challenges, advances, and opportunities. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 36 (9), 1421-1434. (doi:10.1109/TCAD.2016.2633961).

Liu, Yang, Hu, Shiyan, Huang, Han, Ranjan, Rajiv, Zomaya, Albert and Wang, Lizhe (2017) Game theoretic market driven smart home scheduling considering energy balancing. IEEE Systems Journal, 11 (2), 910-921. (doi:10.1109/JSYST.2015.2418032).

Zhou, Junlong, Cao, Kun, Zhou, Xiumin, Chen, Mingsong, Wei, Tongquan and Hu, Shiyan (2021) Throughput-Conscious Energy Allocation and Reliability-Aware Task Assignment for Renewable Powered In-Situ Server Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. (doi:10.1109/TCAD.2021.3068095).

Hu, Shiyan, Shi, Yang, Colombo, Armando, Karnouskos, Stamatis and Li, Xin (2021) Cloud-Edge Computing for Cyber-Physical Systems and Internet-of-Things. IEEE Transactions on Industrial Informatics, 17 (11), 7802-7805, [9373962]. (doi:10.1109/TII.2021.3064881).

Xie, Gouqi, Yang, Kehua, Xu, Cheng, Li, Renfa and Hu, Shiyan (2021) Digital twinning based adaptive development environment for automotive cyber-physical systems. IEEE Transactions on Industrial Informatics. (doi:10.1109/TII.2021.3064364).

Ge, Pudong, Teng, Fei, Konstantinou, Charalambos and Hu, Shiyan (2021) A resilience-oriented centralised-to-decentralised framework for networked microgrids management. Applied Energy. (In Press)

Sun, Qiuye, Wang, Bingyu, Feng, Xiaomeng and Hu, Shiyan (2022) Small-signal stability and robustness analysis for microgrids under time-constrained DoS attacks and a mitigation adaptive secondary control method. Science China Information Sciences, 65 (6), [162202]. (doi:10.1007/s11432-021-3290-3).

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Publications

Calero, Vctor, Fernandez-Mateo, Raul, Morgan, Hywel, Garca-Snchez, Pablo and Ramos, Antonio (2021) Stationary electro-osmotic flow driven by ac fields around insulators. Physical Review Applied, 15 (1), [014047]. (doi:10.1103/PhysRevApplied.15.014047).

Fernandez-Mateo, Raul (2021) Dataset: Stationary Electroosmotic Flow Driven by AC Fields Around Charged Dielectric Spheres. University of Southampton 10.52.58/SOTON/D1898 [Dataset]

Fernndez-Mateo, Ral, Garca-Snchez, Pablo, Calero, Vctor, Morgan, Hywel and Ramos, Antonio (2021) Stationary electro-osmotic flow driven by AC fields around charged dielectric spheres. Journal of Fluid Mechanics, 924 (R2), [650]. (doi:10.1017/jfm.2021.650).

Fernandez-Mateo, Raul (2021) Dataset: Short Communication: A simple and accurate method of measuring the Zeta-Potential of microfluidic channels. University of Southampton doi:10.5258/SOTON/D1998 [Dataset]

Fernandez-Mateo, Raul (2021) Dataset: Concentration-Polarization Electroosmosis Near Insulating Constrictions within Microfluidic Channels. University of Southampton doi:10.5258/SOTON/D2008 [Dataset]

Fernandez-Mateo, Raul and Calero martin, Victor (2022) Dataset: Wall Repulsion of Charged Colloidal Particles during Electrophoresis in Microfluidic Channels. University of Southampton doi:10.5258/SOTON/D2120 [Dataset]

Fernandez-Mateo, Raul, Calero, Vctor, Morgan, Hywel, Garcia-Sanchez, Pablo and Ramos, Antonio (2022) Wall repulsion of charged colloidal particles during electrophoresis in microfluidic channels. Physical Review Letters, 128 (7), [074501]. (doi:10.1103/PhysRevLett.128.074501).

Fernandez-Mateo, Raul (2022) Dataset: Electrokinetic deterministic lateral displacement for fractionation of vesicles and nano-particles. University of Southampton doi:10.5258/SOTON/D2347 [Dataset]

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