Find Academic Supervisors

• Information Theory
• Coding Theory
• Communication Systems
• +8 more

Ragnar Thobaben is a Professor in Communication Theory at the Division of Information Science and Engineering, part of the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. He has held this position since December 2006 and is affiliated with the CERCES Center for Resilient Critical Infrastructures. His research focuses on information and coding theory, with applications to secure communication systems, machine learning generalization, and DNA-based data storage. He has also contributed to data-driven decision tools for critical care medicine, such as in sepsis management. Education: Ragnar earned a Dipl.-Ing. (M.Sc.) in Electrical Engineering from Christian Albrechts University, Kiel, Germany in 2001, followed by a Dr.-Ing. (Ph.D.) in Electrical Engineering in 2007. His academic journey is complemented by extensive editorial roles, including Editor for IEEE Transactions on Communications (2016–2020) and IEEE Transactions on Information Forensics and Security (2020–2023). He has also served as Technical Program Committee member for major IEEE conferences like GLOBECOM, ICC, and PIMRC, and held organizational roles such as Publicity Chair for the 2011 IEEE Swedish Communication Technologies Workshop and Local-Arrangement Chair for the 2019 IEEE Information Theory Workshop. Research Interests: His work bridges theoretical and applied domains, emphasizing robustness and reliability in communication systems. Key topics include physical-layer security for critical infrastructures, information-theoretic PAC-Bayes bounds in machine learning, and microwave engineering innovations like glide symmetry in antenna design. He also explores interdisciplinary applications, such as data-driven tools for ICU patient monitoring and secure wireless power transfer. Advising & Grants: Thobaben has advised multiple PhD students, including current co-supervision of Martin Lindström (machine learning) and collaborations with Karolinska Institute on medical informatics projects (Anna Sundelin and Navid Korah Soltani under main supervisor Johan Mårtensson). His prior advisees span topics from generalization theory to secure relaying in cognitive networks. His recent publications (2024–2022) highlight advancements in PAC-Bayes bounds, sepsis clinical studies, and antenna engineering.

• Networking
• Telecommunications
• Quality of Service (QoS)
• +5 more

Mr. Nafi Ahmad is a Researcher at Queen Mary University of London's School of Electronic Engineering and Computer Science, listed under the Visiting staff category. His research focuses on Quality of Service (QoS) and Quality of Experience (QoE) in multimedia applications, particularly in cloud gaming, video streaming, and network emulation. He has published extensively on cross-correlated QoS metrics, subjective and objective QoE evaluation, and the economic implications of user-perceived quality in internet services. His work spans topics like latency-impact analysis for gaming streaming, VP9 codec performance in Video on Demand (VOD), and statistical error propagation in QoE measurements. He also contributed to videogrammetry techniques using camera inputs and explored clinical awareness of contrast-induced acute kidney injury. Nafi’s publications emphasize the technical and economic dimensions of ensuring high-quality user experiences in digital services, with a focus on network-driven challenges in modern multimedia platforms.

• Control Systems
• IoT and Smart Grids
• Renewable Energy Systems
• +3 more

Seyed Amir Alavi is a Teaching Fellow at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on control systems, IoT integration in energy grids, and fractional-order control methodologies. He specializes in microgrid design, distributed control strategies, and state estimation techniques for smart energy systems. His work addresses challenges in renewable energy integration, delay compensation in power systems, and battery health monitoring for electric vehicles. Key research areas include: IoT-based distributed control systems for microgrids Advanced control algorithms for DC and AC power systems Quantum computing testbed infrastructure development Application of machine learning in battery diagnostics Resilient communication networks for energy systems Recent publications highlight innovations in: Privacy-preserving IoT data collection methods Event-triggered control for distributed systems Forecast-based consensus control using deep learning No academic awards or grants are explicitly mentioned in the provided materials. His work contributes to both theoretical advancements and practical implementations in smart grid technologies and energy management systems.

Itay HenView profile

Adjunct Associate Professor

• Quantum Computing
• Computational Physics
• Quantum Simulation
• +2 more

Itay Hen is an Adjunct Associate Professor of Physics and Astronomy at the University of Southern California and Principal Scientist at the Information Sciences Institute. His dual research focus encompasses quantum computing (gate-based quantum simulation and quantum annealers) and computational physics (quantum many-body systems). Education includes a Ph.D. in Physics from Tel-Aviv University (2009). Recent publications develop quantum Monte Carlo methods, quantum simulation algorithms, and analyze limitations of quantum annealing hardware. Research bridges theoretical quantum information and practical algorithm development for near-term quantum devices, with emphasis on solving strongly correlated quantum systems and optimizing quantum computational approaches.

Tim VogusView profile

Professor

• Health Care Management
• Organizational Behavior
• Neurodiversity Inclusion
• +3 more

Tim Vogus is a Professor at Vanderbilt University's Owen Graduate School of Management, specializing in organizational behavior and healthcare management. He holds leadership roles as Faculty Director of the Leadership Development Program and Deputy Director of the Frist Center for Autism and Innovation. His research focuses on healthcare safety culture, neurodiversity inclusion, and mindful organizing practices to enhance organizational reliability. Education: Ph.D. from the University of Michigan (2004) and B.A. from Michigan State University (1995). Prior to Vanderbilt, he taught at the University of Michigan's Ross School of Business. Research Interests: Vogus investigates how organizations achieve high reliability through safety culture and mindfulness, particularly in healthcare. He recently expanded into neurodiversity inclusion, examining workplace practices that support autistic employees and innovative tools like virtual interview simulators. His work bridges organizational theory with practical applications in healthcare and diversity initiatives. Awards: 50 Most Influential Business Professors (2013) Owen Research Productivity Award (2013) Health Care Management Division Excellence in Teaching Award (2019) James A. Webb Jr. Teaching Award (2007, 2013) Leadership & Engagement: Serves as Associate Editor of Health Care Management Review , member of Leapfrog Group's Blue Ribbon Panel, and former Division Chair of the Academy of Management's Health Care Management Division. Active in policy-oriented initiatives like lung cancer screening implementation and offshore industry safety.

Diego MárquezView profile

Research Fellow

• Plant Physiology
• Biophysics
• Gas Exchange Dynamics
• +4 more

Dr Diego Márquez is a Research Fellow at the University of Birmingham's School of Biosciences, working in Dr. Florian Busch's lab. His research focuses on mechanistic modeling of plant physiology, particularly gas exchange, CO₂ diffusion in mesophyll tissues, and transpiration dynamics. He holds a PhD in Plant Sciences from the Australian National University (2021), an MSc and undergraduate degree in Agronomic Engineering from the University of Chile (2013, 2010). Education: PhD in Plant Sciences, Australian National University, Canberra, Australia (2021) MSc in Agronomic Engineering, University of Chile, Santiago (2013) Bachelor in Agronomic Engineering, University of Chile, Santiago (2010) Research Interests: Dr. Márquez combines theoretical biophysics and experimental approaches to model plant physiological processes. Key areas include: CO₂ diffusion gradients in mesophyll intercellular spaces Stomatal and non-stomatal constraints to transpiration and photosynthesis Water-soil-plant-atmosphere interactions under drought Leaf gas exchange dynamics and their environmental sensitivity His work bridges plant physiology with environmental and ecological contexts, emphasizing precision in gas exchange measurements. Research Trends: His publications emphasize refining gas exchange measurement techniques (e.g., separating adaxial/abaxial fluxes), quantifying CO₂ diffusion limitations, and exploring unsaturated leaf microclimates. Recent work highlights the role of mesophyll airspace unsaturation in C4 plant resilience and the impact of vapor pressure deficits on transpiration. Awards & Grants: No specific awards listed, though his research aligns with funding priorities in plant physiology and climate resilience. His postdoctoral work under Prof. Graham Farquhar (ANU) suggests potential grant support from agricultural or environmental agencies. Labs & Collaborations: Collaborates closely with the Plant Physiologist group at Birmingham, developing tools for scientists in biophysics and environmental plant science. His lab integrates experimental and computational methods to advance understanding of plant stress responses and gas exchange mechanisms.

Clarke SmithView profile

Research Fellow

• Experimental Condensed Matter Physics
• Quantum Information Science
• Superconducting Circuits
• +3 more

Clarke Smith is a Postdoctoral Fellow at Inria . His research focuses on experimental condensed matter physics, particularly in quantum information science and superconducting circuits. He is investigating protected qubits—quantum systems shielded from environmental noise—to enhance quantum computing reliability. Education: Ph.D. in Physics (Pending, 2020), Yale University Advisor: Michel Devoret. Research Highlights: His work includes designing superconducting qubits like fluxonium and cos 2 φ qubits, numerical Hamiltonian verification, and noise characterization via spectroscopy and time-domain measurements. His dissertation, Design of Protected Superconducting Qubits , demonstrates theoretical predictions of noise resilience in cos 2 φ qubits. No scientific awards, grants, or advised students are listed in the provided text. His research bridges theoretical quantum mechanics and experimental implementations in condensed matter systems.

Sarah DanceView profile

Professor

• Data Assimilation
• Meteorology
• Climate Science
• +4 more

Professor Sarah Dance is a Professor of Data Assimilation at the University of Reading's Department of Meteorology, with a joint position in the Department of Mathematics & Statistics. She holds a part-time status and is affiliated with the NCEO and DARC research groups. Her work focuses on advancing data assimilation techniques for applications in weather forecasting, flooding, and environmental modeling. Her research interests include mathematical aspects of data assimilation, high-impact weather prediction, flood modeling using remote sensing data, and the utilization of crowdsourced observations. She has supervised numerous PhD students, contributing to projects on topics like urban flood detection, satellite data integration, and ensemble filtering methods. Professor Dance leads initiatives such as the NERC Flooding from Intense Rainfall Programme and is an EPSRC Senior Fellow. Her work bridges meteorology, statistics, and environmental science, with a strong emphasis on practical applications for disaster management and climate resilience. Projects include enhancing flood forecasting through data assimilation and improving numerical weather prediction using novel observational techniques. Her contributions span academic publications, collaborations with organizations like the Met Office and ECMWF, and the development of innovative algorithms for environmental monitoring. She actively participates in international discussions on data assimilation challenges and future research directions in weather and climate science.

• High Performance Computing
• Numerical Methods
• Scientific Computing
• +3 more

Anne Reinarz is an Associate Professor in the Department of Computer Science at Durham University. Her research focuses on high performance computing, numerical methods, and scientific computing. She specializes in developing parallel algorithms for large-scale simulations of wave phenomena and uncertainty quantification techniques. She currently supervises multiple postgraduate students in computational mechanics and numerical analysis. Her work develops scalable computational frameworks for complex physical systems including wave propagation, material fracture, and spacetime evolution. She contributes to the ExaHyPE engine for adaptive simulations and investigates fault tolerance in high-performance computing environments. Her methods enable efficient solution of partial differential equations on exascale architectures. Dr. Reinarz's publications demonstrate consistent focus on parallel algorithms for scientific computing challenges. Her recent work includes fracture modeling in composite materials, sparse grid approximations for boundary integrals, and multilevel Monte Carlo methods for uncertainty quantification.

Abdel-Hamid SolimanView profile

Professor

• Automation (Smart Cities, Energy Management)
• Fibre Optic Communication Systems
• Data Acquisition Systems
• +5 more

Abdel-Hamid Soliman is a Professor in the Department of Digital, Tech, Innovation & Business at Staffordshire University, UK. His academic roles include teaching, research leadership, and industrial collaboration. He holds a PhD in Image Processing and multiple postgraduate certifications in research supervision and methods. Education Background: PhD in Image Processing MSc in Information Systems and Data Acquisition Systems BEng (Hons) Distinction in Electronics and Communications PGC in Research Supervision PGC in Research Methods Research focuses on bridging academia and industry through automation technologies (Smart Cities, Energy Management, Safety Systems), fibre optics, IoT, and advanced signal/image processing. He leads EU-funded projects like CERES-TEMPUS, PEACE Erasmus Mundus, and WatERP-FP7. His work emphasizes community impact through innovation. Industrial Collaboration: Consultant for oil companies (VIBA, AGIP, etc.) Co-founder of ICentrica Ltd (spin-out company) Delivered projects for Sturge Industries, Universal Systems, and Direct Radio Response Grants & Partnerships: Secured EU funding via FP7 and Erasmus Mundus programs National/international partnerships in North Africa/Middle East Labs/Teams: Involved with Staffordshire's research groups and ICentrica Ltd's innovation activities. Active in training programs for industry professionals and university collaborations.

Yavuz YardimView profile

Research Fellow

• Structural Engineering
• Sustainability
• Advanced Technologies
• +5 more

Dr. Yavuz Yardim is a Research Fellow and university teacher at the School of Engineering, University of Edinburgh, specializing in structural engineering, sustainability, and AI-driven structural health monitoring. His research focuses on enhancing infrastructure resilience through innovative materials and techniques, including fiber-reinforced polymers and sustainable low-carbon bricks. Current academic role: University Teacher/Research Fellow Research institutes: Infrastructure and Environment Specialties: Structural performance assessment, earthquake-resistant design, historical masonry, sustainable materials Dr. Yardim holds a PgCAP in Academic Practice (University of Edinburgh, 2025), Associate Professorships from Turkey and Albania (2013), a Ph.D. in Structural Engineering (University Putra Malaysia, 2008), and degrees from University Putra Malaysia and University of Gaziantep. He is a Chartered Civil Engineer (ICE) and member of Turkey's Chamber of Civil Engineers. His teaching includes Conceptual Design and Sustainability for Civil Engineers , Engineering Principles 1 , and Behaviour and Design of Structures 2 , alongside prior roles in reinforced concrete design, bridge engineering, and advanced structural analysis. Research projects emphasize experimental and computational studies on reinforced concrete, historical masonry, and AI-driven bridge inspection using Retrieval-Augmented Generation and knowledge graphs. Recent publications highlight advancements in ultra-high-performance concrete hybridization, FRP retrofitting for non-circular columns, and sustainable construction materials like water-based polymeric binders. His work bridges structural resilience with modern technologies, addressing global challenges in civil infrastructure. 2025 : Steel/glass fiber hybridization for UHPC 2024 : Bridge engineering innovations 2023 : FRP strengthening for RC columns, ferrocement in masonry 2022 : URM shear resistance, bridge deficiencies 2019-2016 : Masonry retrofitting, historical structure analysis

• Transportation and Freight Services
• Artificial Intelligence and Image Processing
• Automotive Engineering
• +3 more

Felix Feng is a Research Fellow and Manager of the Intelligent Infrastructure and Transport Systems (IITS) Laboratory at Imperial College London's Department of Civil and Environmental Engineering. His work focuses on developing configurable automotive system models for autonomous vehicle safety validation and simulating interactions with road users. He holds a PhD in Mechanical Engineering (University of Bath, 2019), an MSc in Mechatronics (University of Bath, 2014), and a BEng in Mechatronics (Tongji University, 2013). Education: PhD in Mechanical Engineering, University of Bath (2015–2019) MSc in Mechatronics Engineering, University of Bath (2013–2014) BEng in Mechatronics Engineering, Tongji University (2009–2013) His research interests span autonomous vehicles , artificial intelligence , transportation systems , and control systems . Notable projects include driver model development using machine learning and safety validation frameworks for autonomous systems. His recent work explores multimodal traffic prediction, digital twin simulations, and reinforcement learning applications in urban logistics. Publications highlight advancements in traffic risk modeling, GNSS fault detection, and smart infrastructure solutions. Felix’s contributions address challenges in autonomous vehicle interaction safety, urban mobility optimization, and resilient air traffic networks. His IITS Lab at Imperial focuses on translating cutting-edge research into practical tools for safer, smarter transportation ecosystems.

• Financial History
• Economic History
• Communication Networks
• +8 more

Andrew M. Odlyzko is a Professor at the School of Mathematics, University of Minnesota, specializing in interdisciplinary research spanning financial history, economic theory, and communication networks. His work examines historical financial manias, railway development, and market dynamics with a focus on bubbles, fraud, and irrational investment behaviors. He has published extensively on topics such as the 1840s Railway Mania, the South Sea Bubble, and Victorian-era financial systems. Affiliations: University of Minnesota, School of Mathematics Research Focus: Technology manias, financial history, cryptography, computational number theory Odlyzko's research highlights recurring patterns in financial crises through historical analysis, blending economics, sociology, and information sciences. His papers often critique classical economic assumptions using data-driven historical evidence. He has contributed to debates on market inefficiencies, railway network planning, and the role of financial innovation. Key themes include the psychology of speculative bubbles and the long-term impacts of infrastructure investments.

• Wireless Communications
• Digital Communication Theory
• Error Control Coding
• +7 more

Branka Vucetic is a Laureate Professor and ARC Laureate Fellow at The University of Sydney's School of Electrical and Computer Engineering. She leads the Centre for IoT and Telecommunications, focusing on advancing wireless communication systems, including mmWave, URLLC, and IoT. Her research spans coding theory, multi-user detection, and networked control systems. With over 300 publications and four books, she has received prestigious awards such as the Chinese Government Friendship Award and the CSIRO Eureka Prize. She advises numerous PhD and Master’s students on topics like RIS-assisted wireless communications and AI-driven clinical decision support. Education: MSc and PhD from the University of Belgrade. Research interests include 6G technologies, reconfigurable intelligent surfaces, and mission-critical IoT applications. Her work addresses latency, reliability, and energy efficiency challenges in modern communication networks. Current roles include Director of the Centre for IoT and Telecommunications and Fellowships in multiple academies. Awards highlight her contributions to innovation and leadership in engineering and science. She collaborates on projects funded by ARC and industry partners, focusing on practical applications like smart grids and autonomous systems.

Anne HranchookView profile

Associate Professor

• Nurse Anesthesia
• Patient Safety
• Quality Improvement in Healthcare
• +4 more

Anne Hranchook, DNP, CRNA serves as Associate Professor & Assistant Director of the OU-Beaumont Graduate Program of Nurse Anesthesia at Oakland University's School of Nursing. Based in the Human Health Building, Room 3056, she leads the nurse anesthesia program in collaboration with Corewell Health - William Beaumont University Hospital. Her dual role bridges academic instruction with clinical practice in anesthesiology. Dr. Hranchook's educational background includes: DNP from Oakland University MSN in Nurse Anesthesia from Oakland University BSN from University of Detroit Her research program focuses on quality and safety in anesthesia delivery and the implementation of technology in clinical practice. With extensive clinical experience from 20 years at William Beaumont University Hospital, she specializes in translating research into evidence-based practice that enhances patient outcomes. Her work particularly addresses how administrative decision-making can promote cultures of critical thinking and accountability within healthcare settings. Analysis of her recent publications reveals consistent themes in patient safety, with particular attention to closed claims analysis, technology integration in anesthesia practice, and the educational implications of these findings. Her research demonstrates a longitudinal commitment to understanding and improving anesthesia safety through systematic analysis of adverse events and implementation of evidence-based solutions. Her scientific recognition includes: AANA Foundation Oral Poster Award ($1,000) Dr. Hranchook has secured significant research funding, most notably multiple Nurse Anesthesia Traineeship grants from the Health Resources and Services Administration spanning over a decade (2012-2022), plus an Oakland University Research Committee Faculty Research Grant. These awards demonstrate sustained external validation of her work in anesthesia education and patient safety. As Assistant Director of the OU-Beaumont Graduate Program of Nurse Anesthesia, she plays a pivotal role in shaping the next generation of nurse anesthetists through curriculum development, clinical oversight, and research mentorship in collaboration with Corewell Health.