Find Academic Supervisors

Venkat ArunView profile

Assistant Professor

• Computer Networking
• Congestion Control
• Formal Verification
• +6 more

Venkat Arun is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin, within the Cockrell School of Engineering. He previously completed his PhD at MIT under the supervision of Hari Balakrishnan and Mohammad Alizadeh, focusing on networking, systems, and formal methods. Education: Bachelor's Degree, IIT Guwahati PhD, Massachusetts Institute of Technology (MIT) Research Interests: Dr. Arun's research bridges the gap between practical heuristics in computer systems and formal proofs of their performance. He specializes in congestion control , formal verification of network protocols , privacy-preserving systems , and wireless networking . His work develops tools to mathematically prove the behavior of real-world algorithms under real-world conditions, ensuring robustness and fairness. Publication Trends: His recent publications, appearing in venues like ACM SIGCOMM, USENIX NSDI, and NDSS, focus on formally analyzing and improving congestion control (e.g., BBR, Copa), developing verification frameworks (CCAC, CCmatic), designing privacy-preserving reporting systems (SAE), and optimizing real-time communication. A recurring theme is using formal methods to uncover hidden flaws in widely deployed heuristics and designing better alternatives. Scientific Awards: Best Student Paper Award, ACM SIGCOMM 2022 Best Paper Award, NDSS 2020 Advising and Grants: As a new faculty member, Dr. Arun is beginning to build his research group and advise graduate students. While specific grant details are not listed in the provided text, his impactful research and industrial adoption (e.g., by Facebook) suggest strong potential for securing research funding in networking and systems. Labs and Teams: During his PhD at MIT, he was part of a prominent networking research group led by Hari Balakrishnan and Mohammad Alizadeh. At UT Austin, he is establishing his own research lab focused on formal methods for systems, likely continuing collaborations with researchers from MIT, CMU, UT Austin, and industry labs like Facebook and Microsoft Research.

Meri LintuvuoriView profile

Researcher

• Special Educational Needs
• Educational Sciences
• Inclusive Education
• +3 more

Meri Lintuvuori is a University Researcher at the Department of Education, University of Helsinki, affiliated with the Helsinki research community on Special Educational Needs (SEN) and the Centre for Educational Assessment (CEA). She supervises the Doctoral Programme in School, Education, Society, and Culture. With a PhD in Education, her work focuses on inclusive education systems, special education needs, and pandemic impacts on schooling. She leads major projects like the EU Horizon Europe-funded 'Mapping of Longitudinal Data of Inequalities' (2024–2028) and contributes to the Finnish Flagship Programme 'EDUCA: Education for the Future'. Education : PhD in Education (details unspecified). Research Interests : Special education needs, inclusive pedagogy, educational assessment, and policy implementation. Her work examines support systems for students with disabilities, digital learning tools, and pandemic-era educational continuity. Recent studies include comparative analyses of student achievement across educational placements and municipal support service efficacy. Grants & Projects : Principal Investigator: EU Horizon Europe 'Mapping of Longitudinal Data of Inequalities' (€X funding) Co-PI: 'INCLUSIVE' project on educational outcomes of inclusive vs. special education (2020–2024) Lead Researcher: 'Schooling, teaching and well-being during the pandemic' (2020–2022) Labs/Teams : Active member of the Centre for Educational Assessment (CEA), collaborating on national and international research networks.

Diego López PajaresView profile

Lecturer

• Networking
• Software-Defined Networking (SDN)
• Internet of Things (IoT)
• +5 more

Diego López Pajares is a Lecturer at the Department of Automática within the Universidad de Alcalá, Spain. His research focuses on Software-Defined Networking (SDN), Internet of Things (IoT), edge computing, and AI-driven network optimization. He is a member of the NetIS research group (Networks and Intelligent Systems), which explores programmable networks and intelligent systems for future communication infrastructures. He earned his Doctorate in Engineering from Universidad de Alcalá with a thesis titled Nuevos conmutadores de red para redes integradas con SDN (New SDN-enabled network switches for integrated networks), supervised by Dr. Juan Antonio Carral Pelayo and Dr. Elisa Rojas Sánchez. His work addresses challenges in scalable network protocols, hybrid SDN architectures, and AI applications in telecommunications. Key research trends include edge computing IIoT systems, fault prediction in smart grids, and 6G-enabling technologies. His publications emphasize in-band control protocols, disjoint path algorithms, and P4-programmable switches. Collaborative efforts with industry and academia aim to bridge theoretical advancements with practical network deployments. Notable contributions include the BareFlow protocol for Layer-2 plug-and-play routing, MDTA algorithm for dynamic environments, and eHDDP for heterogeneous network discovery. These innovations address scalability, security, and interoperability in modern network ecosystems. López Pajares' work intersects with military deployable networks, autonomous vehicle traffic systems (SYROPS), and cloud continuum architectures. His research bridges traditional networking domains with emerging paradigms like AIoT and software-defined infrastructures.

Elisa Rojas SánchezView profile

Professor

• Networking
• Software-Defined Networking (SDN)
• Edge Computing
• +7 more

Elisa Rojas Sánchez is a tenured professor at the University of Alcalá, affiliated with the Department of Automation within the School of Telematics Engineering. Her primary research focuses on advanced networking technologies including Software-Defined Networking (SDN), edge computing, IoT integration, and network architecture optimization. She leads the NetIS research group (Networks and Intelligent Systems), exploring innovations in programmable networks and intelligent systems for future communication infrastructures. Her academic background includes a doctoral thesis on high-performance transparent Ethernet switch architectures. She has contributed significantly to protocols like ARP-Path and Torii-HLMAC, advancing scalable routing and fault-tolerant data center designs. Her work bridges theoretical networking research with practical implementations in 6G, industrial IoT, and cloud-edge continuum systems. Recent publications highlight breakthroughs in data-driven protocols (e.g., BareFlow), AI-driven fault prediction in smart grids, and topology-aware resource management in dense networks. She also explores educational innovations like gamification in engineering teaching and hybrid SDN methodologies. Key Research Themes: SDN protocols, edge computing frameworks, IoT scalability, network resilience, AI in networking Notable Achievements: Developed open-source tools like NetIDE, contributed to OpenFlow standards, and pioneered multi-path routing algorithms Her work frequently addresses real-world challenges such as latency reduction in programmable ASICs (Tofino P4), secure in-band control channels, and collaborative resource-sharing in edge environments. She actively participates in international conferences as a program chair and continues advancing the next generation of network architectures.

Christina ChangView profile

Academic

• Infectious Diseases
• Cryptococcal meningitis
• Cryptococcosis
• +12 more

Christina Chang is an Adjunct Senior Lecturer in Infectious Diseases at Monash University, with extensive clinical and research experience. She is an Infectious Diseases Physician at The Alfred Hospital, Melbourne (2009–present) and Principal Investigator at Nucleus Network, Melbourne (2023–present). She holds external affiliations including Senior Research Fellow at the University of New South Wales (2020–2021), Honorary Research Associate at the Centre for the AIDS Programme of Research in South Africa (since 2018), and former Honorary Lecturer at the University of KwaZulu-Natal (2012–2015). Medical Degree and Specialist Training: Melbourne, Australia PhD: Immunopathogenesis of C-IRIS, with cohort established in Durban, South Africa NHMRC Early Career Fellowship: 2015–2020, focused on HIV prevention and cure Her research focuses on infectious diseases in immunocompromised hosts , particularly cryptococcal meningitis , cryptococcosis , and immune reconstitution inflammatory syndrome (IRIS) in HIV patients. She also investigates COVID-19 , SARS-CoV-2 , tuberculosis , and antimicrobial resistance . Her work emphasizes clinical trials, immunopathogenesis, and global health, especially in resource-limited settings. Her recent publications (2023–2024) span high-impact journals such as The Lancet Infectious Diseases , The Lancet Microbe , and The Journal of Infectious Diseases . Key themes include the development of global clinical guidelines, biomarker trajectories in COVID-19, imaging in TB trials, and antifungal/antibiotic susceptibility. These works reflect a strong trend toward translational research, international collaboration, and evidence-based guideline development. Australian NHMRC Early Career Fellowship (2015–2020) on HIV prevention and cure Contributions referenced in clinical guideline sources Work cited in policy sources and widely disseminated via media and social platforms Christina Chang leads and contributes to major research grants and clinical trials, including NHMRC-funded projects and US-NIH supported studies through the INSIGHT network. She supervises PhD students at Monash University and mentors early-career researchers through her roles in large collaborative studies. Her leadership as Primary Chief Investigator in multiple research projects highlights her role in securing and managing research funding. She is actively involved in research networks including the INSIGHT clinical trial network and collaborates with institutions in South Africa, the US, and globally. Her work at Nucleus Network involves early-phase and first-in-human clinical trials, indicating leadership in translational research infrastructure.

• Computer Science
• Human-Computer Interaction
• Assistive Technology
• +6 more

Dariusz Gutek is an active academic at the Lublin University of Technology, affiliated with the Faculty of Electrical Engineering and Computer Science and the Department of Computer Science. He is involved in teaching, research, and technological development, with a strong focus on digital innovation, accessibility, and cultural preservation. Research Interests: His work spans multiple interdisciplinary domains, including assistive technology for the visually impaired, motion acquisition and analysis, 3D digitalization of cultural heritage, universal design, and educational technology. He leads and contributes to projects that bridge computer science with societal needs, such as preserving dance traditions and creating digital twins for tactile access. Recent Research Trends: Analysis of his recent publications and projects reveals a consistent focus on applying computer science to real-world challenges in education, health, and culture. His work emphasizes motion capture, accessibility, digital preservation, and inclusive design, often leveraging 3D modeling, cloud tools, and sensor systems. Awards & Honors: No scientific awards were mentioned in the provided text. Advising and Grants: While no formal list of students or grants is available, his leadership in multiple funded projects (e.g., T1DCoach, Integrated Development Programme, scientific expeditions) suggests involvement in research mentoring and grant execution. He likely supervises students in computer science and interdisciplinary applications. Labs and Teams: He is associated with the Movement Acquisition and Analysis Laboratory at the Department of Computer Science, where motion capture and digitalization projects are conducted. He also participates in thematic groups such as the Healthy Society initiative, indicating collaborative, multidisciplinary teamwork.

Polina BayvelView profile

Professor

• Optical Communications
• Optical Networks
• Nonlinear Fibre-Optics
• +5 more

Professor Polina Bayvel is a Professor of Optical Communications and Co-Director of the Institute of Communications and Connected Systems (ICCS) at University College London (UCL). She leads the Optical Networks Group, established in 1994, and has held a Royal Society University Research Fellowship (1994–2004). Her research focuses on optical communications, nonlinear fibre-optics, and high-capacity transmission systems. Education: BSc (Eng) in Electronic & Electrical Engineering, University of London (1986) PhD in Electronic & Electrical Engineering, University of London (1990) Research Interests: Professor Bayvel’s work spans optical network architectures, wavelength-routing, nonlinear fiber mitigation, and ultra-wideband communication systems. She pioneered the use of wavelength domains for optical network routing and developed key devices for network implementation. Recently, her group has addressed capacity limits in nonlinear systems and low-latency optical infrastructure for the digital economy. Awards & Recognition: Royal Society Wolfson Research Merit Award (2007–2012) 2013 IEEE Photonics Society Engineering Achievement Award 2014 Royal Society Clifford Paterson Prize Medal 2015 Colin Campbell Mitchell Award (shared with her team) CBE for services to engineering (2017) Grants & Projects: UNLOC: EPSRC Programme Grant (2012–2018) to maximize optical communications capacity TRANSNET: Current project on intelligent optical infrastructure COIN: Past project on nonlinear optical coding Labs & Teams: Head of the Optical Networks Group at UCL, collaborating with industry leaders like Nortel Networks and STC Submarine Systems. Her team includes Research Fellows Ruijie Luo and Filipe Marques Ferreira.

Bo-jiun JingView profile

Research Fellow

• International Relations
• International Political Economy
• Geopolitics
• +5 more

Dr Bo-jiun Jing is a Senior Research Fellow in the Oxford Taiwan Studies Programme at the University of Oxford's School of Global and Area Studies (OSGA). He holds academic affiliations with the University of Oxford China Centre and St Antony’s College. His research focuses on Taiwan's foreign policy, middle power hedging strategies, and Indo-Pacific geopolitics. He teaches courses on Taiwan studies and co-leads the Study of Contemporary China program. Dr Jing earned a PhD in International Political Economy from King’s College London, an MA from Johns Hopkins SAIS, and a BA from National Taiwan University. His work appears in journals like Asian Survey and Wenti Yu Yanjiu, and he authored Taiwan and Southeast Asia: Opportunities and Constraints of Continued Engagement (2016). His research explores Taiwan’s cybersecurity policy, EU-Indo-Pacific strategies, and Southeast Asia engagement. Recent publications analyze UK-Taiwan cybersecurity cooperation, Japanese/South Korean responses to US-China competition, and pandemic governance in East Asia. He organizes the Oxford Taiwan Studies Seminar Series and co-founded the ASEAN Plus Journal in Taiwan. Dr Jing advises postgraduate students across multiple programs and has held roles at the Institute for Security and Development Policy (ISDP) and Singapore’s Lee Kuan Yew School. His work bridges academia and policy, addressing contemporary challenges in cross-strait relations and regional security.

• Computer Systems
• Networks
• Architecture
• +10 more

Muhammad Shahbaz is an Assistant Professor of Computer Science and Engineering at the University of Michigan , where he leads the NextGArch Lab . His research spans computer systems, networks, and architecture , focusing on domain-specific abstractions and programmable infrastructure for emerging workloads like machine learning and 5G networks. Postdoc, Electrical Engineering, Stanford University (2020) Ph.D. & M.A., Computer Science, Princeton University (2018) B.E., Computer Engineering, National University of Sciences and Technology (NUST) His work includes designing reconfigurable architectures for line-rate machine learning and next-generation networks . Recent publications explore in-network acceleration , DDoS detection , and SmartNIC optimization , reflecting his expertise in networking systems and domain-specific compilers . Notable honors include the NSF CAREER Award (2024) , Google Research Scholar Award (2024) , and SRC JUMP 2.0 Best Paper Award (2024) . He mentors students in systems research and collaborates on projects like the NSF Convergence Accelerator Phase 1 Award for Track G.

Neil RobinsonView profile

Senior Lecturer

• Dark Tourism
• COVID-19 Impacts on Society
• Services Marketing
• +5 more

Dr Neil Robinson is a Senior Lecturer in Marketing at Edge Hill University's Business School, where he has been since June 2021. He previously held academic roles at the University of Salford, focusing on marketing and business education. His research interests span dark tourism, post-pandemic societal impacts, services marketing, and the intersection of technology with tourism and hospitality. He is the programme leader for BSc (Hons) Marketing, BSc (Hons) Marketing with Advertising, and BSc (Hons) Marketing with Digital Communications. Dr Robinson earned his PhD from the University of Salford (2015), exploring motivations for visiting dark tourism sites. He is affiliated with the SustainNET Community Owned Businesses Research Group and actively contributes to academic conferences, including presentations on dark digital places and post-pandemic place marketing strategies. His research trends emphasize post-COVID recovery, dark tourism innovation, and the evolving role of technology in hospitality and retail sectors. Collaborations focus on rural tourism, charity shops' resilience, and green engagement strategies. Dr Robinson has no listed scientific awards but is recognized for his impactful case studies on tourism adaptation and community-driven initiatives. His advising and grant activities are currently unspecified. He contributes to research networks exploring urban-rural contrasts in dark tourism and digital place-making, aligning with his advocacy for sustainable and culturally aware marketing practices.

James XueView profile

Senior Lecturer

• Distributed Systems
• Database Technologies
• Data Mining
• +7 more

Dr. James Xue is a Senior Lecturer in Computing at the University of Northampton, based at the Technology Centre for Advanced and Smart Technologies. He has been a faculty member since 2010 and is actively involved in teaching, research, and PhD supervision. His academic background includes a PhD and MSc in Computer Science from the University of Warwick, and a BSc (Hons) in Computing and Information Systems from the University of Nottingham, where he graduated with First Class Honours. His research spans distributed systems, database technologies, data mining, digital healthcare, and learning analytics. A significant focus of his recent work is on predictive modeling of student performance using machine learning and deep neural networks in higher education contexts. His research integrates software-defined networking, cognitive load reduction, and intelligent systems for student engagement. The trend in his recent publications (2016–2024) reflects a strong shift toward educational data science, particularly in learning analytics, student performance prediction, and intelligent tutoring systems. Earlier works focus on software-defined networking and distributed systems in smart cities, showing a broad technical foundation. His interdisciplinary work bridges computer science with educational innovation. Dr. Xue supervises PhD research, including James Oakes’ work on virtualized computing workloads. He has contributed to research funded or recognized through media coverage, patent references, and Wikipedia citations. His work has been published in Procedia Computer Science, IEEE, Springer, and Wiley journals/conferences, and has garnered significant attention in academic and public spheres. His teaching leadership includes being the programme leader for BSc/HND Computing (general pathway), where he teaches core modules such as Databases (Levels 6 and 7), Group Project (Level 5), and Computing Dissertation (Level 6), shaping the curriculum and student research experience.

• Consumer Behaviour
• Consumer Psychology
• Innovation Adoption
• +9 more

Dr. Mona Seyed Esfahani is a Principal Academic in Marketing Communication at Bournemouth University, Faculty of Media and Communication, Department of Marketing Communication. She is an active researcher, educator, and leader in innovation adoption, particularly in healthcare contexts using technologies like Virtual Reality (VR) and Artificial Intelligence (AI). Her research interests include: Consumer Behaviour and Psychology Innovation Adoption in Healthcare Virtual Reality and Extended Reality (XR) Applications Quantitative Research Methodology Digital Marketing and Branding Storytelling Interventions for Healthcare Workers (e.g., @NHSBLUEHEROES) Her recent publications show a strong trend in applying innovation and digital technologies to solve real-world healthcare challenges, especially in pain management, robotic surgery, and mental well-being of healthcare professionals. The interdisciplinary nature of her work bridges marketing, psychology, and clinical practice, with a focus on pragmatic, impactful solutions. Her scientific contributions are supported by grants from the Higher Education Innovation Fund and Public Health Dorset. She is actively involved in external leadership, serving as Chair of the Health & Innovation Special Interest Group at the International Society for Professional Innovation Management (ISPIM) and as a reviewer for the European Journal of Marketing . She supervises PhD students, teaches postgraduate and undergraduate modules such as Quantitative Research Methodology and Digital Marketing, and leads the Communicating Health Innovations research cluster. Her educational background includes a PhD from the University of Southampton. Her professional memberships include the Higher Education Academy (Fellow), ISPIM, and the Centre for Science, Health and Data Communication Research.

Graeme WestView profile

Professor

• Artificial Intelligence
• Machine Learning
• Data Analytics
• +9 more

Graeme West is a Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, appointed through the Chancellor's Fellowship scheme. He is an academic lead in the University’s Advanced Nuclear Research Centre (ANRC) and is currently seconded part-time to the Alan Turing Institute, where he leads the Critical Infrastructure Theme in the Data Centric Engineering Programme. His work bridges academia and industry, focusing on intelligent systems for energy and nuclear applications. Doctor of Philosophy, Computational Intelligence Methods for Power System Protection Design and Decision Support, University of Strathclyde (2003) Bachelor of Engineering, University of Strathclyde (1998) His research interests lie at the intersection of artificial intelligence and industrial engineering, particularly in intelligent decision support for energy systems. He specializes in applying machine learning, data analytics, and image processing to nuclear asset management, with focus areas including condition monitoring, diagnostics, prognostics, and visual inspection in high-radiation environments. His work supports major nuclear operators such as EDF Energy, Bruce Power, and Sellafield. The recent articles reflect a strong trend toward real-world AI applications in nuclear inspection, emphasizing video denoising, automated defect detection, and explainable AI systems. These works integrate domain knowledge with deep learning to enhance safety and reliability in critical infrastructure. Themes include radiation-affected imaging, predictive maintenance, and intelligent monitoring of reactor components like graphite cores and pressure tubes. While no formal awards are listed, his leadership in high-impact projects and collaborations with national and international partners underscores his recognition in the field. Graeme West supervises research students and leads multiple externally funded projects with organizations like EPSRC, Bruce Power, and EDF Energy. His projects focus on AI-driven inspection, nuclear analytics, and visual monitoring of reactor components. He is also actively involved in professional development, participating in workshops and conferences on AI in engineering and nuclear sustainability. He is affiliated with the Advanced Nuclear Research Centre (ANRC) at the University of Strathclyde and contributes to the Data Centric Engineering Programme at the Alan Turing Institute. His work involves close collaboration with industry partners such as NNL, Sellafield, WideBlue, and Inspecta-hire, forming a robust research network focused on critical infrastructure resilience.

Mu MuView profile

Professor

• Human-Centred Artificial Intelligence
• Immersive Media
• Virtual Reality
• +5 more

Dr. Mu Mu is a Professor of Human-Centred Data Intelligence at the University of Northampton's Faculty of Arts, Science and Technology (FAST). He leads the university's Artificial Intelligence and Data Science programme and founded the Centre for Intelligent Digital Infrastructure (CIDI), focusing on immersive media and machine learning research. His teaching portfolio includes Media Technology, Artificial Intelligence, and Interaction Design. His research integrates human-centred designs , intelligent networks , and immersive media , with applied projects in digital health (e.g., VR therapy for phobia/trauma) and data-driven service optimization. He collaborates extensively with industry partners and SMEs on innovation projects funded by UKRI and the EU. Recent publications emphasize VR-based mental health interventions , AI-driven diagnostics (e.g., cancer prediction, cataract detection), and metaverse navigation systems . His work shows a consistent trend toward clinically applicable AI and ethically informed immersive technologies. Awards & Fellowships: Best Paper Award, IEEE/ACM IWQoS 2015 He supervises 9+ PhD students in projects spanning applied AI, VR therapy, and medical imaging. His grants include: Data analysis for Flow Neuroscience/NHS tDCS depression treatment (PI) Commercialization of VR interventions for phobia (PI) Social XR for mental healthcare (Co-PI) At CIDI, he oversees labs for volumetric capture, motion tracking, and metaverse development, partnering with healthcare and industrial stakeholders.

Sakir SezerView profile

Professor

• Information and Network Security
• Cloud and Virtualisation Security
• Industrial Control Systems Security
• +7 more

Professor Sakir Sezer is a world-renowned authority in high-performance network processing and Internet security technologies at Queen's University Belfast. He serves as Director of Research and Head of Networked System Security at the Centre for Secure Information Technology (CSIT), with expertise spanning malware analysis, IoT security, Industrial Control Systems (ICS) protection, and network security acceleration. Co-founder and CTO of Titan IC Systems Ltd Member of EPSRC/TSB research committees Active in UN Sustainable Development Goals (SDGs) related to technology and security His research focuses on hardware-based cybersecurity solutions using FPGAs, MPSoCs, and programmable networking technologies. Key areas include: 100Gbit/s content processing architectures Android malware detection via static analysis and machine learning SDN/NFV security and cloud infrastructure protection Real-time threat mitigation for APTs and DDoS attacks Recent research trends highlight his work in: Automotive cybersecurity (ISO/SAE 21434 compliance) Embedded hypervisor monitoring Custom cryptographic instruction design (SHA-3 on RISC-V) Scientific awards include: 2017 IET Information Security Premium Award 2018 Best Paper Award (Joint) 2007 Enterprise Fellowships (Ireland) 2007 Intertrade Ireland Seedcorn Award His work has secured major funding from EPSRC, FP7, Innovate UK, and industry partners. He co-founded Titan IC Systems Ltd and actively collaborates with international institutions like ETRI and Hanyang University in Korea.