Find Academic Supervisors

Albert KimView profile

Associate Professor

• Biomedical Engineering
• BioMEMS
• Nanotechnology
• +3 more

Albert Kim is an Associate Professor in the Department of Medical Engineering at the University of South Florida, affiliated with the College of Engineering and Morsani College of Medicine. His research focuses on biomedical applications of MEMS and nanotechnology, particularly developing implantable medical devices to address clinical challenges through interdisciplinary collaboration with physicians. He teaches BME 6931: Fundamental and BioMEMS and has received prestigious awards including the NSF CAREER Award (2022) and the Blavatnik Award Finalist recognition (2018). Education: Ph.D., M.S., B.S. in Electrical and Computer Engineering (Purdue University, 2008-2015) Research Interests: Kim’s work integrates engineering principles with medical needs to create innovative solutions such as smart stents for cardiovascular monitoring, piezoelectric biomaterials for anti-infective applications, and ultrasonic-powered implantable devices. His projects emphasize translational research, bridging laboratory innovations to clinical practice. Grants & Funding: He leads or co-leads several NSF and NIH grants totaling over $4 million, including initiatives on acousto-bioelectronics, smart dental implants, and antimicrobial biomaterials. Recent grants include NSF CNS Core funding for intrabody networks and NIH support for peri-implant disease prevention. Publications: His research spans bioMEMS, implantable systems, and energy harvesting, with recent contributions to ACS Materials Letters , IEEE Transactions on Biomedical Engineering , and Lab on a Chip . Key themes include omnidirectional ultrasound powering for microdevices and multifunctional smart stent designs. Awards: Beyond academic accolades, Kim has been recognized for teaching excellence, including the Eaton & Vashti Magoon Award (Purdue, 2013) and the USF BME Professor of the Year (2022-23).

• Archaeological Science
• Forensic Archaeology
• Geophysical Survey
• +3 more

Paul Cheetham serves as a Visiting Fellow at Bournemouth University, specializing in archaeological and forensic geophysics. His academic career spans over three decades since 1989, with significant contributions to both archaeological science and forensic investigations. He maintains active roles as a PhD supervisor and lecturer in archaeology-related disciplines. His research focuses on archaeological geophysics , forensic archaeology , and prehistoric/Roman archaeology , particularly examining late Iron Age and Romano-British settlements in Dorset. Key projects include the Durotriges Project (co-director), geophysical surveys at Lake Farm Roman fortress, Frampton Roman villa reinterpretation, and international mass grave investigations in Kosovo, Iraq, and Ukraine. His methodological innovations include inventing the MPET (Cheetham) array for high-resolution near-surface geophysics. Cheetham's recent publications (2025-2014) demonstrate sustained scholarly output across Archaeological Geophysics , Forensic Archaeology , and Roman/British Prehistory . His work shows strong interdisciplinary connections between archaeological science, forensic applications, and regional British studies, with recurring themes in landscape survey, burial practices, and technological innovation in prospection methods. Cheetham supervises multiple PhD students including Kayt Armstrong, Laura Evis, Ashely Green, Daniel Carter, and Rebecca Cannell. His professional impact includes creating Bournemouth University's first archaeological and forensic sciences degree program (generating £5M+ in fees) and developing the internationally recognized MSc Forensic Archaeology programme.

Gea RahmanView profile

Lecturer

• Data Science
• Machine Learning
• Ensemble Learning
• +7 more

Dr. Gea Rahman is a Lecturer in Computing at Charles Sturt University (CSU), specializing in data science and machine learning. He holds a PhD in Computer Science from CSU, and MSc/BSc degrees from Rajshahi University, Bangladesh, where he was awarded a Gold Medal for academic excellence. With over 20 years of teaching experience, he previously served as Professor and Programme Director at Bangladesh Agricultural University. Education: PhD in Computer Science (Data Science/ML), Charles Sturt University (2011-2015) MSc in Computer Science & Engineering, Rajshahi University (2002-2003) BSc (Hons) in Computer Science & Technology, Rajshahi University (1998-2002) Research Interests: Data science applications in agriculture, healthcare, and environmental monitoring Machine learning techniques including ensemble/deep learning, transfer learning, and incremental learning Data preprocessing methods (missing value imputation, outlier analysis) AI ethics and healthcare consent strategies Awards: Global Research Impact Recognition Award 2020 Best Researcher Award Gold Medal for Academic Excellence (2003) Advising & Grants: Principal supervisor for multiple postgraduate students Recipient of grants including: Ai-Enabled Segmentation of Brain MRI (2024) Adaptive Federated Learning Framework (2024) Unusual Behaviour Detection in Aged Care (2023) He is part of the Data Mining Research Group (DaMRG) and actively contributes to conferences/journals as a reviewer and editorial board member.

Kevin McDonaldView profile

Professor

• Radicalization
• Extremism
• Digital Social Worlds
• +5 more

Prof Kevin McDonald is a Professor of Sociology at Middlesex University, UK, within the Faculty of Business and Law's Law and Social Sciences Department. He leads the Doctoral Programmes in the faculty and focuses on radicalization, extremism, digital social worlds, and sociological theories of violence. Previously, he held roles at the University of Melbourne (Australia), Goldsmiths (UK), and the École des Hautes Études en Sciences Sociales (France). His research explores social movements, embodiment, and contemporary democracy challenges, particularly regarding youth radicalization and violent extremism. Education: PhD from École des Hautes Études en Sciences Sociales (Paris), prior roles include Marie Curie Fellowships and visiting professorships across Europe. Teaching areas include terrorism sociology, criminology, and digital cultures. Research interests span far-right extremism drivers, jihadism, digital mobilization, and academic development for displaced scholars. He contributes to EU Horizon grant evaluations and edits Routledge's 'Social Movements in the 21st Century' book series. Publications include over 40 peer-reviewed works and books like Radicalization (2018). His work bridges theoretical sociology with policy-relevant research on security, democracy, and global social change.

Osama MahmoudView profile

Lecturer

• Predictive Modelling
• Health Data Science
• Machine Learning
• +6 more

Dr. Osama Mahmoud is a Lecturer (Assistant Professor) in Data Science and Statistics at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS) and the Department of Mathematical Sciences. He holds dual roles as the Director of the BSc Data Science and Analytics programme and Deputy Director of Research at SMSAS. His academic journey includes a PhD in Statistics from the University of Essex and an Honorary Senior Researcher position at the University of Bristol Medical School (2020–2024). Dr. Mahmoud's research focuses on Predictive Modelling, Health Data Science, Machine Learning, Bio and Medical Statistics, and Explainable AI. He pioneered the Slope-Hunter method (Nature Communications, 2022) for bias correction in genome-wide studies and developed tools like the Proportion Overlapping Score (POS) and open-source packages on CRAN/GitHub. His work bridges statistical methodology with applications in healthcare, environmental epidemiology, and industrial collaboration. Key contributions include studies on sleep-breast cancer mortality linkages (2025), lung function-cardiovascular risk relationships (2024), and smoking's role in depression recovery (2022). He has secured grants supporting collaborations with UNDP, Rolls Royce, and Recruitment Smart. Teaching innovations include pioneering programming and text analytics modules. Education: PhD in Statistics, University of Essex Affiliations: UK Reproducibility Network (UKRN) Institutional Lead, British Data Science Society Member Grants: Projects in Data Science, theoretical/applied Statistics, and industrial partnerships Tools: ESKNN, OTE, propOverlap packages on CRAN His work emphasizes reproducibility, with over 50 peer-reviewed publications and international teaching engagements at ICTP (Italy), EuADS (Luxembourg), and UK institutions.

Wladek ForysiakView profile

Professor

• Optical Fiber Communication
• Photonics
• High-Speed Communication Systems
• +3 more

Wladek Forysiak is a Professor at Aston University, holding the EFFECT Photonics / Royal Academy of Engineering Chair in Highly Integrated Coherent optical fiber Communications. He is affiliated with the Aston Institute of Photonic Technologies (AiPT) within the College of Engineering and Physical Sciences. His research focuses on high-speed optical fiber communication systems, optical devices, and enabling technologies for ultra-wideband networks. He has held roles including Royal Society Industry Fellow, EPSRC Manufacturing Fellow, and served as Programme Director for Applied Physics. Forysiak has developed courses in Electromagnetism, Mathematical Methods II, Digital Transmission, and Digital Communications & Information Theory. His work emphasizes Raman amplification, multi-band transmission systems, and hybrid amplification techniques. Key achievements include record-breaking data rates in ultra-wideband systems and contributions to bismuth-doped fiber amplifiers. Awards include the Royal Academy of Engineering Chair and EPSRC Fellowships. Forysiak’s research spans 122 publications and 18 datasets, with collaborations in photonics, fiber optics, and network engineering.

Monica MerlinView profile

Assistant Professor

• East Asian Art History
• Contemporary Chinese Art
• Women Artists
• +5 more

Monica Merlin is an Assistant Professor of Art History at VCUarts Qatar. Previously, she served as Programme Leader for the MA Contemporary Arts China at Birmingham City University and taught at Christie’s Education. Her expertise lies in East Asian Art History and Visual Culture, with a focus on contemporary Chinese art, women artists, and gender studies. Education: D.Phil., University of Oxford, 2013 M.A., SOAS University of London, 2007 B.A., Ca’ Foscari University of Venice, 2004 Research interests include contemporary Chinese art and visual culture, women artists, feminism, gender, transculturality, and global Asian art. Her work explores themes such as gender representation, feminist activism, and the intersection of art with socio-political contexts. Merlin conducted post-doctoral research at the Tate Research Centre: Asia, focusing on contemporary Chinese women artists, resulting in an online archive of interviews. She contributes to curatorial projects and publishes in peer-reviewed journals and edited volumes. Her research has been supported by grants, notably a post-doctoral fellowship at the Tate (2013–14). She has advised on curatorial initiatives and collaborates with institutions like the Tate and the Centre for Chinese Contemporary Art (CFCCA). Currently, she is involved in projects examining surveillance and gender in Chinese art. Labs/Teams: Merlin’s work is associated with the Tate Research Centre: Asia and collaborations with institutions such as the Lillehammer Art Museum and Museum der Moderne, Salzburg. Her projects often involve interdisciplinary teams focused on visual culture and feminist studies.

• Electronic Design Automation (EDA)
• Computer Architecture
• Embedded Systems
• +5 more

Prof. Wolfgang Ecker is a Professor at the Technical University of Munich (TUM), affiliated with the Chair of Design Automation within the TUM School of Computation, Information and Technology . His research focuses on Electronic Design Automation (EDA), RISC-V processor architectures, and hardware-software co-design. He leads projects advancing EDA tools for embedded systems, neural network acceleration, and formal verification methodologies. Ecker's work bridges machine learning techniques with traditional EDA challenges, addressing topics like energy-efficient AI inference and automated documentation generation. His contributions span compiler optimization, FPGA implementations, and fault analysis in digital systems. Recent research highlights include contributions to the TRISTAN project for RISC-V ecosystem development, model-driven architecture frameworks, and AI-driven timing analysis. He actively collaborates on open-source EDA tools and explores Rust-based embedded systems development. Ecker’s lab emphasizes practical applications in edge computing and automotive microcontroller safety, with a strong emphasis on interdisciplinary collaboration across TUM’s CIT School. His publications (15 most recent listed) reflect a focus on EDA tool innovation, processor design, and leveraging machine learning for hardware optimization. While no specific awards are mentioned, his involvement in ERC-funded projects and leadership in international collaborations underscores his academic impact.

Paolo CavaliereView profile

Senior Lecturer

• Freedom of Expression
• Media Law
• Digital Platforms Regulation
• +6 more

Paolo Cavaliere is a Senior Lecturer in Digital Media and IT Law at the University of Edinburgh Law School, where he also serves as Co-Director of the Scottish Research Centre for Intellectual Property and Technology Law (SCRIPT) and Head of Subject Area for IP, Media and Technology. He joined the University in September 2014 and maintains active research and teaching in freedom of expression, media law, and communications law. His educational background includes a PhD in International Law and Economics from Bocconi University (Italy), an LLM in Public Law from University College London, and a Laurea in Law from the University of Pavia (Italy). Prior to his position at Edinburgh, he worked as a researcher at the Programme in Comparative Media Law and Policies at the University of Oxford's Centre for Socio-Legal Studies. Cavaliere's research focuses on the intersection of digital technologies and legal frameworks, with particular expertise in disinformation regulation, freedom of expression in digital environments, media law, and platform governance. His work examines how traditional legal concepts like truth, accuracy, and sovereignty are being redefined in the context of digital platforms and global information ecosystems. He has published extensively on topics including hate speech regulation, content moderation practices, micro-targeting in political campaigns, and the impact of disinformation on democratic processes. Analysis of his recent publications reveals a clear trajectory toward examining how legal frameworks are adapting to the challenges posed by digital platforms, particularly regarding disinformation, hate speech, and content governance. His work increasingly addresses the tension between protecting fundamental rights like freedom of expression and implementing effective regulatory measures for digital platforms. The 2024 publication on freedom of expression after disinformation represents a significant evolution in his thinking toward developing new paradigms for information rights in the digital age. Cavaliere maintains active professional affiliations as a research associate at the University of Oxford's Programme in Comparative Media Law and Policy and as a non-resident research fellow at the Central European University's Center for Media, Data and Society. He has provided expertise on telecommunications and media law to various NGOs and international organizations, including the African Union's Mission to Somalia and the Council of Europe. His teaching and research activities demonstrate strong engagement with both theoretical legal frameworks and practical policy implementation, particularly in the rapidly evolving field of digital media regulation. Cavaliere regularly contributes to policy discussions through commissioned reports, legal reviews, and participation in academic and professional networks focused on media law and digital governance.

Jane ClealView profile

Associate Professor

• Reproductive Cell Biology
• Placental Biology
• Fetal Development
• +4 more

Dr. Jane Cleal is an Associate Professor in Reproductive Cell Biology at the University of Southampton’s Faculty of Medicine. She leads research on placental and maternal tissue mechanisms, focusing on fetal development, lifelong health, and interventions to improve pregnancy outcomes. Her work integrates systems biology with molecular and cellular approaches. Education: PhD in Medicine, University of Southampton (2005) BSc (Hons) Molecular Cell Biology, University of Southampton (2001) Fellow of the Higher Education Academy (2013) Teaching Roles: Deputy Programme Lead for the BM6 widening access to medicine degree Module Lead for MEDI0011 Human Structure & Function 1 Her research interests span placental and endometrial biology, vitamin D regulation, and the impact of maternal exposures on fetal programming. Key areas include fetal growth, obesity, and cardiometabolic health. Recent work explores endometrial gland function in miscarriage risk and climate change effects on developmental health in Caribbean communities. Publications highlight placental transport mechanisms, vitamin D’s role in pregnancy, and computational models of drug diffusion. She has supervised 3 current PhD students and secured grants from Wessex Medical Research, BBSRC, and Wellbeing of Women. Awards: Fellow of the Higher Education Academy (2013) External Roles: Editorial Board Member, British Journal of Nutrition (2012–2018) Council Member, Physiological Society (2009–present) Reviewer for Irish Government research panels (2017–2023) Outreach: Public engagement on reproductive science and healthy lifestyle choices.

Siamak ShahandashtiView profile

Senior Lecturer

• Cyber Security
• Privacy-Enhancing Technologies
• Applied Cryptography
• +4 more

Dr. Siamak Shahandashti is a Senior Lecturer in the Department of Computer Science at the University of York, UK. He leads the Cyber Security & Privacy Research Group and is actively involved in academic governance roles including Chair of the Physical Sciences Ethics Committee and Programme Lead for the MSc Cyber Security programme. His research focuses on applied cryptography, privacy-preserving technologies, electronic voting systems, and blockchain applications. He holds a PhD in Computer Science and has contributed to over 40 peer-reviewed publications. Education: PhD in Computer Science, MSc in Telecommunications Engineering, BSc in Electrical Engineering. Professional qualifications include a PGCert in Academic Practice. Research interests span cyber security fundamentals, usable security mechanisms, and the intersection of cryptography with real-world systems. Notable projects include verifiable electronic voting systems and DoS-resilient blockchain protocols. He has led funded projects on e-voting scalability and contributed to standards reviews for ISO/IEC protocols. Award-winning educator in cyber security curriculum development, with active roles in admissions and academic ethics compliance. His work bridges theoretical cryptography with practical implementations, emphasizing user-centric security design principles. Labs/Teams: Cyber Security & Privacy Research Group (lead), Departmental Ethics Team (lead). Collaborations include institutions in Australia, France, and across Europe.

Yan FengView profile

Associate Professor

• Health Economics
• Health Policy Evaluation
• Economic Evaluation of Clinical Trials
• +3 more

Dr. Yan Feng is a Reader (Associate Professor) in Health Economics at Queen Mary University of London's Wolfson Institute of Population Health. She holds a BSc in Statistics from Capital University of Economics and Business (2005), an MSc in Economics from the University of Edinburgh (2006), and a PhD in Health Economics from the University of Aberdeen (2010). She is a Fellow of the Higher Education Academy (2019) and serves as Associate Editor of Health and Quality of Life Outcomes . Education BSc Statistics, Capital University of Economics and Business (Beijing, China), 2005 MSc Economics, University of Edinburgh, 2006 PhD Health Economics, University of Aberdeen, 2010 Research Interests Economic evaluation of clinical trials and health policies Pay-for-performance incentives in healthcare Quality of life measurement and utility valuation Applied micro-econometrics in health systems Key Projects Principal Investigator: Evaluation of bedside electronic transfusion checks (funded by Barts Charity) Co-Investigator: Cost-effectiveness studies for NIHR/Horizon 2020-funded trials Awards Fellow of the Higher Education Academy (2019) Teaching MSc Global Health: Health Economic Analyses Module Wellcome Trust PhD Programme: Effective and Efficient Evaluation Module

Ning WangView profile

Professor

• 5G and beyond networking
• Future Internet design
• Mobile content delivery technologies
• +5 more

Professor Ning Wang is a leading academic in communication systems at the University of Surrey's Institute for Communication Systems (ICS), School of Computer Science and Electronic Engineering. He holds a PhD from the University of Surrey (2004) and has expertise in 5G/6G networks, edge computing, and space-terrestrial integration. As a coordinator for the EuroMaster Programme and Communication Networks and Software (CNS) pathway, he leads research in network management, mobile video delivery, and IoT applications. His work has been featured in IEEE ComSoc Technology News three times since 2012. Current leadership roles include 5GIC Work Area 1 leader for content and network context. Research collaborations span global institutions like UCL, ETH Zurich, and industry partners like BT and InterDigital. Notable contributions include SDN-based space-terrestrial network integration (VDPA scheme) and O-RAN automation via federated DRL. Over 130 publications and active participation in standards bodies (IETF, 3GPP) reflect his impact on future network architectures. Educations: BEng in Computing (Changchun University of Science and Technology, 1996) MEng in Electronic Engineering (Nanyang Technological University, 2000) PhD in Electronic Engineering (University of Surrey, 2004) Research Focus: Future Internet design, network intelligence, content-centric networking, and satellite integration. Key projects include EU Horizon Europe SPIRIT (immersive telepresence), ESA TINA (satellite 5G functions), and EPSRC NG-CDI (converged digital infrastructures). His research emphasizes practical solutions like edge-AI for VNF splitting and holographic frame synchronisation. Grants & Projects: Over £20M in grants from EPSRC, EU Horizon, InnovateUK, and Royal Society. Active in EU-funded SAT5G (satellite-terrestrial 5G) and C-DAX (smart grid cybersecurity).

Pablo Serrano Yáñez-MingotView profile

Associate Professor

• Wireless Networks
• Network Protocols
• 5G/6G Communication Systems
• +3 more

Pablo Serrano Yáñez-Mingot is an Associate Professor at the Telematics Department of Universidad Carlos III de Madrid (UC3M), where he has been since 2002. He holds a Telecommunication Engineering degree and PhD from UC3M (2002 and 2006, respectively). Currently, he serves as Deputy Director of Infrastructure, Sustainability, and Digitalization at the Higher Polytechnic School (EPS). His research focuses on wireless networks, network protocols, and experimental performance evaluation, with over 100 peer-reviewed publications in top journals/conferences like IEEE/ACM Transactions on Networking and IEEE INFOCOM. He has led major projects such as the Hexa-X 6G flagship and Flex5Gware. He is an IEEE Senior Member and has received awards like the UC3M Excellence Award (2021) and Distinguished Member of the INFOCOM TPC (2022). Education: Telecommunication Engineering (UC3M, 2002), PhD in Telematics (UC3M, 2006). Research Interests: Wireless networks, 5G/6G systems, network protocols, energy efficiency, and experimental evaluation of communication systems. Recent Articles Trends : Focus on 5G/6G architectures, network automation, serverless computing, and energy-efficient solutions. Publications highlight advancements in NFV scaling, network slicing, and AI-driven orchestration. Awards : UC3M Excellence Award 2021 (Young Research Excellence) ACM WiNTECH 2016 Best Paper Award Elevated to IEEE Senior Member (2015) Advising & Grants : Supervised over 30 PhD/MSc students. Principal Investigator of projects like AMAZING-6G and iTrust6G. Actively involved in editorial and organizational roles in IEEE conferences (e.g., INFOCOM, WCNC). Labs & Teams : Leads research groups in network protocols, 5G/6G systems, and experimental evaluation. Collaborates with institutions like the University of Rome Tor Vergata and Trinity College Dublin through visiting positions.

• IoT Security
• Network Measurement
• Privacy Engineering
• +3 more

Dr. Anna Maria Mandalari is an Assistant Professor at University College London (UCL), affiliated with the Electronic and Electrical Engineering Department. She serves as Director of the SafeNetIoT laboratory and the Internet Engineering/Telecommunications MSc/MRes Programme at UCL. She holds an Honorary Research Fellow position at the Institute for Security Science and Technology at Imperial College London. Her research focuses on IoT security, privacy engineering, and network measurement techniques, particularly analyzing information exposure from consumer devices and developing adaptive network security strategies. Her work has led to significant contributions such as the IMC'19 Community Contribution Award-winning study on multidimensional IoT device exposure and the Telekom Challenge-winning IoTrim prototype for blocking non-essential IoT traffic. She has secured funding through InnovateUK’s CyberASAP program and participated in high-impact projects like NATwatcher and the European roaming analysis initiative. Key Awards: Community Contribution Award (IMC'19), Best Paper Award (C2B(I)D 2015) Grants: InnovateUK CyberASAP Phase 2 funding, Telekom Challenge Development Stream Top 5 prize Labs/Teams: Director of SafeNetIoT Lab, Leading M2M and IoT security teams at UCL Her recent work addresses IoT device misactivation risks (e.g., smart speakers), scalable detection of IoT devices in the wild, and protocol design informed by crowdsourced data. She actively collaborates with industry partners like Telekom and academic institutions on network infrastructure security and performance optimization.