Find Academic Supervisors

Tobias PlessingView profile

Professor

• Hydrogen Technology
• Biomass Energy
• Renewable Energy Systems
• +5 more

Prof. Dr.-Ing. Tobias Plessing serves as Head of the Institute for Hydrogen and Energy Technology and Research Group Leader for Innovative Energy Systems and Hydrogen Technologies at Hof University of Applied Sciences' Faculty of Engineering. Appointed in 2013, he was dean of the faculty from 2015 to 2021 and currently directs the Institute for Water and Energy Management while chairing the hlb Landesverband Bayern since 2017. Education: Mechanical Engineering (Thermal Engineering specialization) at RWTH Aachen University Doctorate: Laser optical investigations of turbulent combustion processes conducted with Lawrence Berkeley National Laboratory His research focuses on biomass-to-hydrogen conversion, solar ice storage systems for heating/cooling, regenerative district heating networks, and gasification technology with integrated tar removal. He develops practical solutions for sustainable energy in industrial and building contexts, emphasizing international collaboration with Indian universities and real-world implementation through projects like the zwe building's large-scale heat storage system. Recent publications (2020-2021) reveal a concentrated effort on optimizing biomass gasification for clean hydrogen production, advancing ice-battery applications in industrial cooling, and improving renewable district heating networks. These works demonstrate a clear trajectory toward scalable decarbonization technologies for heating and industrial processes, with strong emphasis on system efficiency and integration of renewable sources. Prof. Plessing leads multiple funded initiatives including ADerN (European Social Fund), InEs (Federal Energy Research Programme), OpToKNuS, and PuLaMa. His energy laboratory at Münchberg campus features specialized test stands for biomass gasification, ice storage, and solar thermal systems, enabling experimental validation of novel energy technologies while supporting industry knowledge transfer through training programs.

Frank WallhoffView profile

Professor

• Assistive Technologies
• Human-Machine Interaction
• Cognitive Systems
• +11 more

Prof. Dr.-Ing. Frank Wallhoff is a Professor for Assistive Technologies at Jade University of Applied Sciences since 2010. He serves as Dean of the Department of Civil Engineering Geoinformation Health Technology and Head of the Institute for Technical Assistance Systems. His career spans over two decades with significant contributions to human-machine interaction, cognitive systems, and assistive technologies. Previously, he worked at Technische Universität München from 1997-2010 where he completed his doctorate and served as a postdoc and Akademischer Rat. His educational background includes: 1988-1991: School education with A-level/high school graduation 1991-1992: Certified Engineer's Assistant 1993-1999: Study of electrical engineering 2002-2006: Doctorate at Technische Universität München on face detection, identification, and emotion recognition Wallhoff's research focuses on the intersection of technology and human needs, particularly in assistive technologies for aging populations and human-robot interaction. His work spans cognitive systems with learning capabilities, social robotics, ambient assisted living, pattern recognition, machine learning, human-machine interaction, and facial expression recognition. He has developed significant databases like the FG-NET Database with Facial Expressions and Emotions, which has been widely used in emotion recognition research. His recent publications (2015-2018) reveal a strong trend toward practical applications of human-robot interaction in healthcare, rehabilitation, and daily living assistance. His work increasingly integrates multimodal sensing, machine learning, and context-aware systems to create adaptive assistance technologies. Key areas include motion exercise recognition for rehabilitation, 3D visualization for underwater vehicle control, and robust human-robot dialogue systems for production environments. His scientific recognition includes: Best Paper Award for 'Experimental Platform for Wizard-of-Oz Evaluations of Biomimetic Active Vision in Robots' at IEEE International Conference on Robotics and Biomimetics (Robio), 2009 Wallhoff has secured significant research funding including the EITAMS project (€1.5 million from Lower Saxony Volkswagen Advance Programme) focused on affordable underwater vehicle systems, and the INTERREG project 'Vital Regions' (2017-2020) developing technologies to support elderly in rural areas. He coordinates the ALIAS project (Adaptable Ambient Living Assistant) and has led multiple projects within the Cluster of Excellence CoTeSys, including JAHIR, ACIPE, EYETRACK, and RealEYE. His research bridges academic innovation with practical applications, particularly in healthcare technology and assistive systems. He leads the Institute for Technical Assistance Systems at Jade University, where his team develops innovative solutions at the intersection of cognitive systems, human-robot interaction, and assistive technologies. Current initiatives focus on underwater robotics for maritime applications, rehabilitation technologies using motion tracking, and ambient assisted living systems for elderly care.

Neil James NairnView profile

Senior Lecturer

• Dental Education
• Orthodontic Technology
• Health and Wellbeing
• +2 more

Neil James Nairn is a Senior Lecturer at the University of Glasgow Dental School within the School of Medicine, Dentistry & Nursing. He specializes in orthodontic technology and serves as co-coordinator for the Bachelor of Dental Surgery (BDS1) programme and lead for Health and Wellbeing initiatives for dental students. His research spans dental education and medical imaging, focusing on student professional development in dissection rooms, wellbeing integration into curricula, and advanced imaging techniques for orthognathic surgery. He employs CBCT and 3D facial imaging systems to address dentition distortion challenges and surgical planning. Publications reveal a clear evolution: early work (2008-2018) centered on medical imaging validation and CBCT applications, while recent output (2019-2025) pivots toward wellbeing science. His eight publications include four major conference presentations at ADEE and OTA events alongside four journal articles in maxillofacial surgery literature. Dr. Nairn actively implements research through community initiatives like the Glasgow Dental Hospital & School Runners program, demonstrating applied commitment to student wellbeing beyond theoretical frameworks.

• Compound Semiconductor Electronics
• GaN Device Technologies
• Terahertz Electronics
• +4 more

Edward Wasige is Professor of High Frequency Electronics in the Division of Electronics and Nanoscale Engineering at the University of Glasgow's School of Engineering, where he leads the High Frequency Electronics (HFE) Group. His research spans compound semiconductor devices, including GaN technologies for power/microwave electronics and InP-based systems for terahertz applications. Education: BSc (Eng.) in Electrical Engineering (First Class Honours), University of Nairobi, 1988 MSc in Microelectronics & Telecommunications, University of Liverpool, 1990 PhD in Electrical Engineering (with Distinction), Kassel University, 1999 Research Focus: His group pioneers high-frequency semiconductor devices with emphasis on neuromorphic photonics (RTD-based spiking neurons), terahertz wireless systems, and GaN HEMT advancements. Current work includes photonic-electronic integration for brain-inspired computing and thermal optimization of wide-bandgap devices. Publication Trends: Recent articles (2023-2024) demonstrate strong focus on terahertz instrumentation (35%), neuromorphic hardware (40%), and GaN device innovation (25%), with emerging themes in cryogenic characterization and 6G communications testbeds. Awards: UNESCO Postdoctoral Fellowship (Technion, Israel) Laboratories: Leads the HFE Group with capabilities in nanofabrication (sub-100nm processes), on-wafer characterization up to 1.7 THz, and semiconductor device testing across temperature ranges (77K–400K).

David J. HughesView profile

Professor

• Individual Differences
• Personality Psychology
• Organisational Psychology
• +5 more

David J. Hughes is Professor of Personality and Organisational Psychology at Manchester Business School, University of Manchester. He serves as Programme Director for both the M.Sc. Organisational Psychology and M.Sc. Business Psychology programs. With a career spanning academia and practical application, Hughes has established himself as a leading expert in personality and organizational psychology. Dr. Hughes completed his PhD at the University of Manchester, where his research identified personality traits that influence consumers' use of credit (loans, credit cards) and insurance (genuine and fraudulent claims). Prior to joining Manchester Business School in January 2015, he developed and directed the MSc. Business Psychology program at Coventry University. Professor Hughes' research centers on individual differences, encompassing personality, emotions, and motives, with three primary focus areas: (i) the theoretical nature and measurement of individual differences, (ii) the role of individual differences in workplace contexts, and (iii) individual differences in unethical, impulsive, and deviant behavior. His work on the "three Cs" of personality—content, causes, and consequences—has led to significant contributions in personality assessment, including the development of the Personality Facet MAP, the most comprehensive model and measure of personality traits to date. His recent publications demonstrate a strong focus on personality structure, emotion regulation, and the impact of personality traits in educational and organizational settings. Hughes' work bridges theoretical foundations with practical applications, particularly in understanding how personality influences workplace behavior, student performance, and leadership effectiveness. Excellence in Practice Gold Award for executive education University-wide award for best research-led teacher University-wide award for best research supervisor Prestigious Distinguished Teacher Award (2022) Ranked within Stanford-Elsevier top 2% most impactful scientists Professor Hughes has supervised 11 PhD students to completion, with research topics spanning adaptive personality regulation, emotional intelligence, innovative work behavior, team creativity, personality facet modeling, work breaks, leadership differentiation, dark personality traits, job-specific personality profiles, and interpersonal emotion regulation. His supervision approach emphasizes both theoretical rigor and practical relevance, preparing students for impactful careers in both academia and industry. As an expert in psychometric tool development, Hughes has created numerous research instruments, developed the Accuracy and Appropriateness model of validation, co-edited the two-volume Wiley Handbook of Psychometric Testing, and developed psychometrics for high-stakes nuclear and legal sectors. His work with the Thomas Ashton Institute connects his research to broader societal implications and practical applications.

Dilum FernandoView profile

Professor

• Structural Engineering
• Composite Materials
• Fiber-Reinforced Polymers (FRP)
• +5 more

Professor Dilum Fernando serves as Chair in Structural Engineering within the School of Engineering at the University of Edinburgh, specializing in Civil and Environmental Engineering. His research focuses on developing innovative hybrid/composite structural systems through fundamental material behavior theories and geometric concepts. His educational background includes a Doctor of Philosophy (PhD) from The Hong Kong Polytechnic University (2010) on CFRP-strengthened steel members, and a Bachelor of Engineering from Monash University (2005). Fernando's research centers on four key thematic areas: Manufacturing Technologies for Composites in Civil Infrastructure – advancing fabrication processes for FRP materials Construction Techniques for Composites – integrating architectural and construction challenges Optimized Materials for Composites – developing efficient hybrid material systems Advanced Composite Structural Systems – creating novel infrastructure solutions His work spans FRP-strengthened structures, timber-FRP hybrids, and recycled material applications. Analysis of his recent publications reveals dominant trends in hybrid composite systems (particularly FRP-timber and FRP-concrete-steel), structural retrofitting techniques, and sustainable material innovation using waste/recycled components. Key subfields include buckling analysis of thin-walled sections, interfacial debonding mechanics, and thermal performance of novel wall systems. His notable scientific achievements include: Australia's Most Innovative Engineers Award (2019) BERD-FEUP Prize for World Innovation in Bridge Engineering (2019) University of Queensland Award for Excellence in Innovation (2019) Fernando actively supervises PhD students and leads significant research projects including: Active Projects Mobile platform for thermochemical assessment of FRP structures (Aberdeen, 2023-2026) CoTide tidal energy project (Oxford, 2023-2028) Novel recycled plastic products for structural applications (RMIT, 2023-2024) Completed Projects Value-added products from waste plastics (EPSRC, 2022-2023) His research group operates at the intersection of structural engineering and advanced materials science, developing experimental and computational methodologies for next-generation infrastructure systems with emphasis on sustainable composites and hybrid structural solutions.

Andre Matthias MÜLLERView profile

Senior Lecturer

• Health Promotion
• Tertiary-Education Pedagogy
• Public Health Interventions
• +4 more

Andre Matthias MÜLLER is a Senior Lecturer at the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore (NUS). His work focuses on health promotion, tertiary education pedagogy, and the design of digital interventions to improve public health outcomes. He holds a PhD in Sport and Exercise Psychology/Health Promotion from the University of Malaya (2016), alongside earlier degrees in Sport Science from Otto-von-Guericke University in Germany. Dr. MÜLLER has received prestigious awards including the National University Health System Teaching Excellence Award (2023) and SSHSPH Teaching Excellence Award (2021). His research explores sedentary behavior correlates, mHealth interventions, and workplace wellness. He leads initiatives such as the Physical Activity at Work (PAW) study and has contributed to MOOC design for health behavior education. His career includes roles as Programme Director for Medicine & Society and Information Literacy tracks at NUS Medicine, and leadership in international societies like the ISBANPA e- & mHealth SIG. He has published extensively on digital health, public health pedagogy, and intervention design, with over 50 peer-reviewed articles. Dr. MÜLLER actively engages in global health collaborations, including projects in Malaysia, Thailand, and the UK. His work emphasizes interdisciplinary approaches to address systemic health inequities and empower individuals through evidence-based strategies.

Alper ErturkView profile

Professor

• Acoustics
• Dynamics
• Smart Structures and Metamaterials
• +6 more

Dr. Alper Erturk is the Carl Ring Family Chair and a Professor of Mechanical Engineering at Georgia Tech’s College of Engineering. His research focuses on acoustics, dynamics, and smart structures, with emphasis on energy harvesting, metamaterials, nonlinear dynamics, and biomedical applications. He leads the Smart Structures and Dynamical Systems Laboratory (SSDSL), exploring topics like piezoelectric energy harvesting, programmable metastructures, and transcranial ultrasound delivery. Education: Ph.D. (Virginia Tech, 2009), M.S. (METU, 2006), B.S. (METU, 2004). His work is funded by NSF, NIST, and AFOSR. Awards include the Philip E. Doak Award (2021), Fellow of SPIE (2020), and Woodruff Professorship (2019–2024). Research interests span vibration energy harvesting, piezoelectric robotics, elastic wave control, and biomedical systems. Recent projects include wireless acoustic power transfer, skull-brain vibration studies, and metamaterials for broadband attenuation. His lab integrates theoretical and experimental methods, offering students interdisciplinary training in structural dynamics and smart materials. Awards and recognitions include over 20 honors, including teaching fellowships and editorships in journals like Smart Materials and Structures . Collaborations include institutions like KAIST and Politecnico di Milano.

Boris KoldehofeView profile

Professor

• Networked and Distributed Systems
• Middleware
• Event-based Systems
• +7 more

Boris Koldehofe is a Professor of Computer Networks at the University of Groningen's Faculty of Science and Engineering, where he leads research in distributed systems and network technologies. He also maintains significant academic connections as an Adjunct Professor at TU Darmstadt (as part of the DFG Collaborative Research Centre 1053 MAKI) and recently joined TU Ilmenau as Professor heading the Distributed Systems and Operating Systems Group. His educational background includes a Habilitation in Communications and Distributed Systems from Technische Universität Darmstadt (2019), a Ph.D. from Chalmers University of Technology (2005), and a Diplom in Informatik from Universität des Saarlandes (1999). Throughout his career, he has held positions at prestigious institutions including Technische Universität Darmstadt, Universität Stuttgart, EPFL, and Ruprecht-Karls-Universität Heidelberg. Koldehofe's research focuses on networked and distributed systems with particular emphasis on middleware, event-based systems, software-defined networking, and the emerging field of in-network computing. His work has evolved significantly toward energy-efficient cognitive computing, especially through the exploration of memristor-based technologies for network functions. His research addresses critical challenges in distributed systems performance, privacy, and adaptability in increasingly complex network environments. His recent publications demonstrate a clear trajectory toward energy-efficient network computing, with a significant portion of his work in the last three years focusing on memristor applications for cognitive network functions, in-network data stream processing, and privacy-preserving analytics. His research bridges theoretical distributed systems concepts with practical networking implementations, particularly leveraging programmable data planes and novel hardware architectures. 2019 ACM Service Recognition Award for organizing the 13th ACM Conference on Distributed and Event-Based Systems 2017 Best Research Paper at ACM USENIX Middleware Conference 2015 Ausgezeichneter Ort Land der Ideen (Excellent innovation with CRC MAKI) As an academic advisor, Koldehofe has supervised several doctoral students including Manisha Luthra (awarded KUVS Dissertation Award for 'Network-centric Complex Event Processing') and Saad Saleh (who successfully defended his PhD on memristor-based computing architectures). His research has been supported by numerous grants including DFG-funded projects like 'DynSDN', industry collaborations with Deutsche Telekom, and participation in the CogniGron research center focused on cognitive systems and materials. He leads the Distributed Systems Group at University of Groningen and collaborates extensively with research teams at TU Ilmenau and TU Darmstadt through the MAKI research center.

• Computer Networks
• Networked Systems
• Network Resilience
• +3 more

Charalampos Rotsos is a Senior Lecturer in Computer Networks and Networked Systems at Lancaster University's School of Computing and Communications . He leads research in network resilience, programmability, and virtualization. Current projects: DSI: DVAC (Data-driven Visualisation and Aggregation of Cyber vulnerabilities) Research groups: SCC (Networking), i-DID Research Focus : His work spans intent-based networking, middlebox resilience, software-defined networking (SDN), network virtualization (NFV), and cybersecurity. Recent studies include semantic intent translation frameworks (SWIFT), virtualization-driven resilience (REMEDIATE), and state mirroring for middleboxes (Katoptron). Collaborative Efforts : He contributes to projects like NG-CDI (Future Network Intelligence) and develops tools for emulation automation (NES), network policy inference (Reasonet), and high-speed network evaluation (OFLOPS-SUME). PhD Supervision : Mentors students including Paul Alcock, Revika Anand, and Alexander Jung in networked systems research. Collaborates with PhD students in the SCC (Networking) group. Contact : Office D14, InfoLab21. Email: c.rotsos@lancaster.ac.uk

Gwan ChoiView profile

Associate Professor

• Fault-tolerance
• Verification simulation
• High-performance VLSI circuits
• +7 more

Gwan Choi is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on fault-tolerance, verification simulation, high-performance VLSI circuits, radiation testing, design for dependability, and software engineering. He holds a Ph.D., M.S., and B.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (1988–1994). Education: Ph.D., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (1994) M.S., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (1989) B.S., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (1988) Research Interests: Dr. Choi’s work spans fault-tolerant computing, radiation-hard electronics, and high-performance VLSI design. He has contributed to LDPC decoding architectures, MIMO communication systems, and energy-efficient circuit designs. His research emphasizes practical implementations in aerospace and embedded systems. Awards: National Science Foundation (NSF) Career Award (1997) Labs & Activities: He has collaborated with NASA Langley Research Center as a visiting scientist and contributed to industry through roles at Cray Research and Tandem Computers. His work bridges academic research with real-world applications in fault tolerance and low-power systems.

Mark M. TehranipoorView profile

Professor

• Hardware Security
• IoT Security
• Electronics Supply Chain Security
• +3 more

Mark M. Tehranipoor is the Sachio Semmoto ECE Department Chair and the Intel Charles E. Young Preeminence Endowed Chair Professor in Cybersecurity at the University of Florida's Herbert Wertheim College of Engineering. He leads the Department of Electrical & Computer Engineering and co-founded major initiatives like the IEEE International Symposium on Hardware-Oriented Security and Trust (HOST), IEEE AsianHOST, and IEEE PAINE. His research focuses on hardware security, IoT security, and VLSI design, with over 650 publications and 25 patents. Education: PhD, Electrical Engineering, University of Texas at Dallas (2004) MS, Electrical Engineering, University of Tehran (2000) BS, Electrical Engineering, Tehran Polytechnic University (1997) Research Interests: His work addresses hardware security vulnerabilities, supply chain integrity, and trustworthy microelectronics. Notable contributions include developing methodologies for secure IC design, electromagnetic side-channel analysis, and countermeasures against hardware Trojans. Awards: He is a Fellow of IEEE, ACM, and the National Academy of Inventors (NAI). Honors include the 2023 SRC Aristotle Award, 2018 IEEE HOST Hall of Fame, and multiple best paper awards. His leadership roles include directing the Florida Institute for Cybersecurity Research (2015–2022) and co-directing the AFOSR/AFRL CYAN Center and National Microelectronic Security Training Center (MEST). Grants & Advising: His projects are funded by 50+ organizations, including NSF and industry partners. He advises graduate students and leads interdisciplinary teams in hardware assurance, with a focus on transitioning research to industry through Edaptive Computing Inc. Transition Center (ECI-TC). Labs & Initiatives: Directs centers like MEST and CYAN, advancing secure hardware design practices. He also co-founded the Journal on Hardware and Systems Security (HaSS) and led the development of the NSF-funded Trust-Hub platform for hardware security resources.

Max YatesView profile

Associate Clinical Professor

• Epidemiology
• Rheumatology
• Rheumatic Diseases
• +5 more

Max Yates is a Consultant Clinical Associate Professor at the University of East Anglia's Norwich Medical School, with tenure since 2019. He specializes in the epidemiology of rheumatic diseases, particularly polymyalgia rheumatica (PMR) and giant cell arteritis (GCA), and holds roles in the Norwich Epidemiology Centre and Population Health group. His research focuses on risk factors, comorbidity patterns, and vascular disease validation using retinal imaging, alongside improving healthcare pathways through electronic tools. He leads the Academic Specialised Foundation Programme and co-chairs the OMERACT PMR working group. Education: Doctor of Philosophy (2017), University of East Anglia (Epidemiology of PMR/GCA) Master of Science (2015), University of East Anglia Bachelor of Medicine and Surgery (2007), University of East Anglia Bachelor of Science (2002), University of Leicester Research Interests: Epidemiology of rheumatic diseases, dietary influences on musculoskeletal health, outcome measures, and cohort studies. Current projects include investigating multimorbidity progression in rheumatoid arthritis and improving glucocorticoid prescribing practices for PMR. Professional Activities: Member, OMERACT Working Groups (since 2015) Member, UK Biobank Eye and Vision Consortium (since 2012) Member, Heberden Committee, British Society for Rheumatology (since 2021) Labs/Teams: Active in the Norwich Epidemiology Centre and collaborates with international consortia like the Outcome Measures in Rheumatology (OMERACT).

• Statistics
• Econometrics
• Numerical and Computational Mathematics
• +3 more

Ed Cohen is an Associate Professor in Statistics at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). His research focuses on statistical methodologies for analyzing signals and images, including point processes, time series analysis, and change-point detection. Applications span biological imaging, networks, and manifold-based domains. He leads the EPSRC Centre for Doctoral Training in Statistics and Machine Learning (StatML) and contributes to the EPSRC NeST Programme. His work integrates mathematical theory with computational tools for microscopy data analysis and interdisciplinary collaborations. Education & Professional Roles: Joint Director, EPSRC StatML CDT (Imperial/Oxford) Investigator, EPSRC NeST Programme Associate Editor, Statistics and Computing Vice-Chair, Royal Statistical Society's Emerging Applications Section Research Interests: Statistical methods for spatial and temporal data Bioimaging applications (e.g., super-resolution microscopy) Network analysis and community detection Bayesian online estimation and changepoint detection Interdisciplinary projects in neuroscience and microbiology PhD Opportunities: Current openings focus on computational/statistical methods for neuronal protein organization using microscopy data, with collaboration between Imperial College London and Bordeaux's Institute of Interdisciplinary Neuroscience. Labs & Teams: Active in Mathematics in Medicine and Time Series/Signal Processing groups at Imperial, contributing to collaborative projects bridging statistics, computer science, and biology.

• Computer Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +5 more

Wouter Tavernier is an Associate Professor at Ghent University and a Postdoctoral researcher at IMEC, affiliated with the Faculty of Engineering and Architecture's Department of Information Technology (EA05). He leads research at the Internet Technology and Data Science Lab, focusing on networking innovations for future communication systems. His research explores: Network architectures for 5G/6G, HPC, and deterministic systems SDN/NFV orchestration for cloud/edge services Optical networking including programmable photonics and routing optimization Network resilience through fault-tolerant protocols and traffic engineering Publications (2020–2025) emphasize: Deterministic networking for real-time systems and industrial IoT Resource optimization in HPC/cloud networks Convergence of optical/wireless technologies in 6G Decentralized edge intelligence via programmable swarm solutions He advises doctoral researchers on projects including: QoS Optimization in 6G Networks (Jakob Miserez) Control Strategies for Network-Cloud Services (Abhinaba Chakraborty) Software-Based Networking for 6G (Mohammadreza Heydarian) and secured grants such as Network optimization for HPC workloads (Special Research Fund). At the Internet Technology and Data Science Lab, he collaborates on EU-US initiatives like the Next Generation Internet program, advancing open internet architectures.