Find Academic Supervisors

Magdalene MarinakiView profile

Researcher

• Optimization
• Optimal Control
• Nature Inspired Algorithms
• +5 more

Magdalene Marinaki serves as a Researcher and permanent laboratory teaching personnel at the Technical University of Crete (TUC), School of Production Engineering and Management. She also teaches in the Hellenic Open University's Social Sciences Graduate Program. Her expertise lies in optimization methodologies, optimal control systems, and nature-inspired algorithms applied to logistics and manufacturing. She holds a Diploma, MSc, and PhD from TUC, specializing in Production Engineering and Management. Her research focuses on computational optimization, metaheuristics, vehicle routing problems (VRP), energy-efficient transportation systems, and structural control. She has authored 4 books and over 50 journal articles, with additional contributions to conference proceedings. Notable projects involve EU-funded research on blockchain applications in maritime logistics, electric vehicle routing, and unmanned aerial vehicle (UAV) path optimization. Her recent work emphasizes sustainable transportation solutions, including EV charging infrastructure planning and drone-integrated delivery networks. She has developed algorithms like teaching-learning-based optimization and hybrid swarm intelligence techniques, addressing real-world challenges in supply chain management and smart manufacturing systems.

Adam ClementeView profile

Lecturer

• traumatic brain injury (TBI)
• cognitive neuroscience
• magnetic resonance imaging (MRI)
• +7 more

Dr. Adam Clemente is a Lecturer in Psychology at the Australian Catholic University (ACU) since March 2024. He is affiliated with the School of Behavioural and Health Sciences and contributes to both teaching and research within the Healthy Brain and Mind Research Centre . His academic journey includes a PhD from ACU and roles as Senior Research Officer and Sessional Academic. Education : Bachelor of Psychological Sciences (Honours), PhD at ACU Mary MacKillop Institute for Health Research Research Interests focus on traumatic brain injury (TBI) , neuroimaging (MRI/diffusion MRI), cognitive neuroscience , and addiction studies . He explores white matter integrity, brain-behavior relationships, and network communication efficiency, particularly in TBI patients and cannabis users. Publication Trends indicate expertise in structural connectomics, fixel-based analysis, and attentional lapses research. His work bridges clinical profiling, multimodal rehabilitation, and neuroplasticity in brain-injured populations, with recent emphasis on cannabis-related neurobiology. Scientific Accolades : Peter W Sheehan Psychology Scholarship (ACU, 2013) Australian Psychological Society prize (2014) Research Training Program Scholarship (2016-2020) Best Protocol Presentation (ACU Disability Research Network, 2016) NCLD Conference Scholarship (2016) Travel/Training Grants (ACU, 2018-2019) Public Engagement includes a guest appearance on Einstein A Go-Go (Triple R FM Melbourne, 2021) discussing cannabis use disorder and brain function research.

Michel KIEFFERView profile

Professor

• Signal Processing
• Communication Systems
• Networking
• +5 more

Michel KIEFFER is a Professor in Signal Processing for Communications at Paris-Sud University and a researcher at the Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He holds a Ph.D. (1999) and Habilitation (2005) from Université Paris-Sud. Previously, he served on part-time leave at Laboratoire de Traitement et Communication de l’Information (CNRS-Télécom ParisTech, 2009–2016) and was a junior member of the Institut Universitaire de France (2011–2016). His research focuses on joint source-channel coding, signal processing for communication networks, and robust control systems. Key contributions include works on multimedia transmission reliability, UAV localization, and fault identification in power grids. He co-authored over 100 publications and books like Applied Interval Analysis (Springer, 2001) and Joint Source-Channel Decoding (Academic Press, 2009). He serves as Associate Editor for Signal Processing (since 2008) and IEEE Transactions on Communications (2012–2016). His work spans interdisciplinary areas such as energy systems, robotics, and telecommunications, addressing challenges in real-time data transmission, network slicing, and distributed control.

• Media Technology
• Journalism Studies
• Public Policy
• +3 more

John Grönvall is a Lecturer in Media Technology at Arcada University of Applied Sciences, affiliated with the School of Engineering, Culture and Wellbeing. He holds an M.Sc. in Computer Graphics. His research focuses on media technology, public service media, journalism's role in democracy, platformization impacts, Nordic media policies, and fact-checking mechanisms. Recent work examines Nordic public service media discourses, platform effects on Finnish media, and strategies to counter commercial pressures in newsrooms. Grönvall has contributed over two decades to media studies, with early work in distributed computing for logistics. Research interests emphasize the intersection of technology and societal structures, particularly how digital platforms reshape media ecosystems and democratic processes. He investigates how Nordic countries balance public broadcasting mandates with emerging challenges like disinformation and resource constraints. His studies often adopt a comparative Nordic perspective, analyzing policy frameworks and journalistic practices across Scandinavia. Publications highlight themes such as pandemic-era journalism, media platform monopolies, and the decoupling of journalism from democratic functions. His work bridges technical innovations (e.g., parcel tracking systems) with sociocultural analysis of media landscapes, reflecting his interdisciplinary background in computer science and media studies.

Becky JacksonView profile

Lecturer

• Semantic Cognition
• Neuroimaging
• Computational Neuroscience
• +3 more

Becky Jackson is a Lecturer in the Department of Psychology at the University of York since 2022. She holds a BSc and PhD in Psychology from the University of Manchester (2010, 2014). Previously, she held a British Academy Postdoctoral Fellowship (2017–2021) and an EPSRC Doctoral Prize Fellowship (2014–2016). Her research focuses on neurocomputational approaches to semantic cognition, investigating semantic control, representation, and their interaction across the lifespan. She leads the NECSUS Lab, which combines computational modeling and neuroimaging techniques to understand brain architecture supporting complex cognition. Education: BSc Psychology (Manchester, 2010), PhD Psychology (Manchester, 2014) Research Interests Dr. Jackson’s work explores how the brain integrates conceptual knowledge and contextual control, using fMRI, MEG, and computational models. She investigates semantic networks, functional connectivity gradients, and the neural basis of semantic deficits in disorders. Her lab emphasizes translational research between computational theories and empirical neuroimaging findings. Publications Her recent work includes studies on semantic network dynamics, functional organization of temporal and frontal cortices, and the neural overlap between theory of mind and semantic cognition. Key contributions include methodological advancements in EEG/MEG functional connectivity analysis. Frith Prize (Experimental Psychology Society, 2014) British Academy Fellowship (2017–2021) EPSRC Doctoral Prize (2014–2016) Advising & Grants She supervises PhD students in semantic cognition and neuroimaging techniques. Her research is supported by interdisciplinary collaborations, including with the MRC Cognition & Brain Sciences Unit and institutions across Europe. She chairs the Board of Examiners (since 2023) and serves as an LGBTQ+ Champion at York. Labs & Teams NECSUS Lab (NEuroComputational Strategy to Understand Semantics) focuses on multi-disciplinary approaches to semantic control and representation, emphasizing lifespan development and computational-brain interface.

Mahdieh AllahviranlooView profile

Assistant Professor

• Transportation Systems Engineering
• Urban Planning
• Mobility Pattern Recognition
• +7 more

Mahdieh Allahviranloo is an Assistant Professor in the Department of Civil Engineering at the City College of New York (CUNY). She specializes in transportation systems with a focus on travel behavior analysis, mobility pattern recognition, and urban resilience. Her work integrates data mining, optimization, and statistical techniques to study urban mobility dynamics, particularly addressing disruptive technologies like shared mobility and autonomous vehicles. Education: PhD in Civil Engineering from the University of California, Irvine; MSc in Transportation Engineering from Iran University of Science and Technology; BSc in Civil Engineering from Sharif University of Technology. Research Interests: Large-scale optimization algorithms, network modeling, travel demand modeling, and the impact of collaborative logistics on urban systems. She leads the Urban Knowledge Discovery Lab (UKDLAB), developing tools like the Shared Life Tracks mobile application to collect and analyze mobility data. Current projects include an online platform for autonomous vehicle sharing and quantifying the effects of rainfall on subway ridership. Key Awards: Best Paper Award at the 2017 International Conference on Transport and Health for work on activity-based pricing schemes. Active in interdisciplinary collaborations, including projects with CUNY's Advanced Science Research Center and the UTRC. Advising and Grants: Supervises PhD and undergraduate researchers in transportation modeling and logistics. Funds multiple projects through PSC-CUNY, UTRC, and FHWA, including an agent-based disaster response model for extreme climate events. Mentors the Women's Robotics Club at CCNY, fostering STEM participation among female engineering students. Lab Activities: UKDLAB focuses on mobility pattern discovery, urban data platforms, and equity in transportation systems. Collaborates with institutions like ENTPE (France) and UPRM (Puerto Rico) on shared mobility solutions. Recent work includes developing a dynamic crowdshipping model for NYC and evaluating cordon pricing impacts on pollution exposure.

Chase MurrayView profile

Associate Professor

• Operations Research
• Autonomous Vehicles
• Vehicle Routing & Logistics
• +5 more

Chase Murray is an Associate Professor in the Department of Industrial and Systems Engineering at the University at Buffalo (SUNY). He directs the SOAR Drone Facility and Optimator Lab , focusing on operations research applications for autonomous systems. His work includes drone logistics, routing optimization, and AI integration in delivery networks. Education: PhD, Industrial & Systems Engineering, University at Buffalo, 2010 ME, Industrial Engineering, Texas A&M University, 2000 BS, Industrial Engineering, Texas A&M University, 1998 Research Interests: Dr. Murray’s research emphasizes leveraging autonomous vehicles for logistics and surveillance. Key areas include: - Routing algorithms for drone-truck systems - Weather and traffic impact modeling - Integer programming for problem classification - FAA-certified drone pilot with hands-on SOAR facility testing . Publications: Over 30 peer-reviewed articles focus on drone coordination, vehicle routing, and optimization frameworks. Recent work includes graph-based ILP classification and weather-aware delivery systems. Labs & Software: SOAR : Drone test facility with 3D digital twin simulations Optimator Lab : Develops tools like VeRoViz (routing visualization) and tex2solver (LaTeX-to-code translator) Open-source projects: Ground Control Station software, ROS-enabled web interfaces Grants & Advising: Advised PhD students Ritwik Raj (traffic congestion modeling) and Lan Peng (weather-impact scheduling). Active in collaborative projects on AI-driven logistics systems.

Abigail NoyceView profile

Researcher

• Cognitive Neuroscience
• Sensation and Perception
• Attention
• +4 more

Abigail Noyce is an assistant research professor at the Carnegie Mellon Neuroscience Institute , affiliated with the Department of Psychology . She investigates cognitive mechanisms underlying perception, attention, and memory using EEG and fMRI neuroimaging techniques, focusing on how the brain exploits predictability and sensory specialization. Her research spans auditory and visual cognition , examining dual-task interference, working memory organization, and multisensory integration. Current work explores how task demands interact with sensory processing limitations and individual neural architectures. Recent publications emphasize auditory attention (2024), functional cortical mapping (2023), and predictive coding (2022). Her 2025 study on spatial selection dynamics reveals novel mechanisms in attentional control systems. Dr. Noyce's methodological expertise includes EEG signal decoding, fMRI connectivity analysis, and connectome fingerprinting techniques for individual prediction models. Contact: abigail.noyce@cmu.edu

Stamatios SotiropoulosView profile

Associate Professor

• Brain Imaging
• Diffusion MRI
• Tractography
• +3 more

Dr. Stamatios Sotiropoulos is an Associate Professor at the Sir Peter Mansfield Imaging Centre , University of Nottingham , with prior affiliations as Principal Investigator and Postdoctoral Research Associate at the FMRIB Centre , University of Oxford . He leads the Computational Neuroimaging (CoNI) Laboratory , focusing on advanced MRI methodology for brain connectome mapping. PhD in Brain Image Analysis (University of Nottingham, 2010) MSc in Biomedical Engineering (University of Minnesota, 2005) BSc in Electronics & Computer Engineering (Technical University of Crete, 2003) His research spans diffusion MRI , tractography , and connectome modeling , with applications in brain aging , neurodegenerative diseases , and cross-species neuroanatomy . Recent work includes AI-driven QC , probabilistic inference , and cross-modal integration . Grants include major awards from the European Research Council (2020), Wellcome Trust , and EPSRC . The lab has developed widely-used tools like XTRACT , CUDIMOT , and NFacT within the FSL framework. 2021 Clarivate Highly Cited Researcher ISMRM 2022 Merit Awards Notable students include Shaun Warrington (PhD, 2021) and José-Pedro Manzano-Patrón (PhD, 2022). Collaborations span the Human Connectome Project , Developing Human Connectome Project , and Centre for Mesoscale Connectomics .

Işın ErerView profile

Professor

• Signal Processing
• Radar Systems
• Ground Penetrating Radar
• +17 more

Işın Erer is a Professor at the Department of Electronics and Communication Engineering, Faculty of Electrical and Electronic Engineering, Istanbul Technical University (ITU). She is actively involved in research on radar signal processing, artificial intelligence, and image analysis, with a focus on ground-penetrating radar (GPR) and remote sensing applications. University: Istanbul Technical University School: Faculty of Electrical and Electronic Engineering Department: Department of Electronics and Communication Engineering Academic Rank: Professor Email: ierer@itu.edu.tr Her research interests span signal processing, radar systems, clutter removal, target detection, deep learning, vision transformers, U-Nets, and vital signs detection using stepped-frequency radar . She applies advanced machine learning techniques to enhance radar imaging and improve performance in challenging environments such as debris fields and outdoor conditions. The recent publication trends indicate a strong focus on integrating deep learning models (e.g., Vision Transformers, YOLOv5, U-Net) with radar signal processing for clutter removal, image restoration, and segmentation . Her work combines low-rank approximations, autoencoders, B-spline activation functions, and attention mechanisms to improve accuracy and robustness in GPR and remote sensing imagery. Applications include parcel boundary delineation, road segmentation, and life detection in search-and-rescue scenarios. She has received notable recognition for her academic mentorship: Best PhD Thesis Advisor in Telecommunications Engineering Program, 2018 She leads multiple active research projects funded by TÜBİTAK and ITU-BAP, focusing on real-time AI-based radar systems, through-wall vital sign detection, and clutter removal in GPR. She has supervised numerous graduate students, with 47 theses in progress or completed. Her research group works on both theoretical algorithm development and practical system implementation, bridging the gap between academia and real-world deployment. Current projects include developing integrated AI models for real-time GPR systems and ultra-wideband radar methods for behind-obstacle detection.

Mark ParcellsView profile

Professor

• Molecular Virology
• Vaccinology
• Immunology
• +12 more

Mark Parcells is a Professor of Molecular Virology in the Department of Animal and Food Sciences at the University of Delaware, where he also serves as Interim Director of the Avian Biosciences Center. He is affiliated with the College of Agriculture & Natural Resources and is actively involved in research, teaching, and academic leadership. Education: Ph.D. in Biological Sciences, University of Delaware, 1994 B.A. in Biological Sciences, University of Delaware, 1984 Dr. Parcells' research focuses on the molecular virology of Marek’s disease virus (MDV), Zika virus, coronaviruses, and the innate immune response to viral infections. His work spans both basic and applied research, including viral oncogenesis, vaccine development, immune modulation, and exosome-mediated immunity. He investigates how MDV transforms T-cells and evolves to overcome vaccines, with implications for human cancers like Hodgkin’s lymphoma. His lab also explores prophylactic and therapeutic strategies for SARS-CoV-2 and develops non-antibiotic treatments using IgY antibodies. The recent publications highlight a strong trend in viral pathogenesis, immune response modulation, and vaccine innovation. His work integrates molecular biology, immunology, and systems-level analyses such as transcriptomics and proteomics, particularly in avian models. A recurring theme is the use of exosomes as biomarkers and immune modulators in viral diseases. Dr. Parcells actively mentors graduate students and collaborates with researchers at Freie Universität Berlin, UCLA, and industry partners. His lab engages in vaccine testing, mechanism of action studies for adjuvants, and commercial antibody development. He teaches courses in animal virology, immunology, and animal diseases, contributing to both undergraduate and graduate education. Laboratory and Research Teams: Laboratory focused on molecular virology and immunology of avian and human viruses Collaborative teams on MDV evolution with Dr. Benedikt Kaufer (Freie Universität Berlin) COVID-19 research team with Dr. Vaihtilingaraja Arumugaswami (UCLA) UD-based team on exosome biology with Dr. Matthew B. Hudson

Müjdat ÇetinView profile

Professor

• Signal Processing
• Image Processing
• Data Science
• +12 more

Müjdat Çetin is a Professor of Electrical and Computer Engineering and serves as the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and Director of the New York State Center of Excellence in Data Science at the University of Rochester. He previously held faculty positions at Sabancı University and was a Research Scientist at MIT, with visiting roles at Boston University, Northeastern University, and MIT. Education: PhD in Electrical Engineering, Boston University, 2001 MS in Electrical Engineering, University of Salford, 1995 BS in Electrical Engineering, Boğaziçi University, 1993 His research lies at the intersection of signal processing, machine learning, and data science, with applications in biomedical imaging, radar, and brain-computer interfaces. He develops probabilistic and deep learning models for robust information extraction from noisy and complex data. His work emphasizes computational imaging, sparse representations, and multimodal data fusion. The recent publications reflect a strong trend toward integrating Bayesian methods and deep learning in imaging sciences, particularly in medical image reconstruction, neuroimaging analysis, and radar systems. His group actively explores transformer architectures, federated learning, and model-based deep learning for solving inverse problems in imaging. Scientific Awards and Honors: IEEE Fellow IEEE Signal Processing Society Best Paper Award IET Radar, Sonar and Navigation Premium Award Elsevier Signal Processing Best Paper Award Turkish Academy of Sciences Distinguished Young Scientist Award (GEBİP) ODTÜ Mustafa Parlar Foundation Research Incentive Award TÜBİTAK Career Award Boston University Best Engineering Research Award Professor Cetin has advised numerous PhD and Master’s students and led significant research grants in data science and imaging. He has served as a Senior Area Editor for IEEE Transactions on Image Processing and IEEE Transactions on Computational Imaging, and held editorial roles in several top journals. He has chaired major conferences including ICASSP, ICIP, and IVMSP workshops. He leads a multidisciplinary research group focused on data science and imaging, collaborating with neuroscientists and medical researchers. The team develops novel algorithms for brain-computer interfaces, medical image analysis, and remote sensing systems, often integrating machine learning with physical models of data acquisition.

• Logistics
• Supply Chain Management
• Production Planning
• +5 more

Prof. Margaretha Gansterer is a full professor and Dean of the Faculty of Economics and Law at Alpen-Adria-Universität Klagenfurt. She leads the Institute for Production, Energy and Environmental Management and the Department of Production Management and Logistics. Her work focuses on production economics, logistics optimization, and collaborative transportation systems. Key research areas include supply chain resilience, vehicle routing problems, and disaster response logistics. Her research addresses challenges such as decentralized production planning, automated parcel locker networks, and emergency resource allocation during crises. Notable contributions include methodologies for demand uncertainty mitigation, horizontal collaboration in transportation, and optimization of multi-agent systems. Prof. Gansterer's recent publications (2023–2025) emphasize pandemic-related logistics, such as SARS-CoV-2 testing strategies in healthcare settings and contingency planning for driver absenteeism. She also explores innovative applications of combinatorial auctions and artificial intelligence in logistics decision-making. Research Priorities: Business Administration, Logistics, Production Management Leadership Roles: Senate Dean, Institute Head, Department Head Key Facilities: Production Management and Logistics Department (Campus South Wing East) Her work integrates simulation-based optimization with real-world supply chain modeling, contributing to both academic and practical advancements in operational efficiency and sustainability.

Kiho ImView profile

Researcher

• Neuroimaging
• Developmental Neuroscience
• MRI Analysis
• +3 more

Kiho Im is a researcher at Boston Children's Hospital's Fetal Neonatal Neuroimaging and Developmental Science Center , specializing in neuroimaging analysis of normal and abnormal brain development using structural and diffusion MRI. His work focuses on quantifying cortical structural development, white matter connectivity patterns, and their relationship to genetic disorders, including polymicrogyria , developmental dyslexia , tuberous sclerosis complex , and TUBB3 syndromes . Developed novel MRI analysis techniques for cortical and white matter assessment Research spans prenatal to pediatric neurodevelopmental disorders Research Interests : Translational developmental neuroimaging Genetic brain disorder biomarkers Cortical folding and sulcal pattern analysis Deep learning for fetal brain age prediction Impact of maternal and environmental factors on neurodevelopment Scientific Contributions : 15 most recent publications (2023-2025) cover congenital heart disease, tuberous sclerosis, opioid exposure, and maternal obesity effects on fetal brain structure Key methodologies: graph-based inverse-projection, attention-gated spherical U-net, sulcal pit quantification, and rich-club network analysis

• Urban Planning
• Architectural Planning
• City and Regional Planning
• +6 more

Takashi Ariga is a Professor at Waseda University's School of Creative Science and Engineering, Department of Architecture. He currently serves as the Dean of the School of Creative Science and Engineering and Director of the Graduate School of Creative Science and Engineering. His academic journey began with a Bachelor's degree in Architecture from Waseda University (1985), followed by a Master's in Construction Engineering (1987), and culminated with a Ph.D. in Environmental Planning and Urban Design from the University of California, Berkeley (1997). With over 15 years of professional experience in private sector environmental development before entering academia, he brings practical insights to his research and teaching. Professor Ariga's research interests span a comprehensive range of urban planning and architectural topics. His primary focus areas include City and Regional Planning, Urban and Community Design, and the Theory and Methodology of Participatory Planning. He has made significant contributions to understanding Urban Morphology, particularly how traditional urban forms evolve while maintaining their essential character. His work on Environmental Design and Management explores sustainable integration of natural systems within urban environments, while his research on Heritage Management and Planning examines innovative approaches to preserving cultural landscapes. His expertise in Design Simulation and Communication bridges traditional planning methods with contemporary digital tools for enhanced community engagement. His recent scholarly output demonstrates a consistent focus on practical applications of urban planning theory. The 15 most recent publications reveal a pattern of research addressing urban resilience, community-based planning processes, and sustainable urban development. His work spans diverse geographical contexts from Tokyo neighborhoods to international case studies, with particular attention to disaster recovery planning, urban agricultural systems, and cultural heritage preservation. A distinctive feature of his research is the integration of historical perspectives with contemporary planning challenges, creating frameworks that honor traditional knowledge while addressing modern urban complexities. Japan Society for the Promotion of Science Research Grant Review Committee Award (2016) Waseda University Ono Art Memorial Prize (1986) International Federation of Housing and Planning (IFHP) International Urban Design Competition Grand Prize (1985) Japan City Planning Association Urban Planning International Student Competition Grand Prize (1985) Professor Ariga has been actively involved in numerous research projects funded by the Japan Society for the Promotion of Science, including studies on urban ecological systems, strategic assessment technology for community-based planning, and collaborative planning between stakeholders. His leadership extends to committee memberships with Tokyo's urban planning and landscape councils, demonstrating his commitment to translating academic research into practical urban governance. His laboratory, Ariga Lab ( arigalab.arch.waseda.ac.jp ), serves as a hub for interdisciplinary research connecting students, faculty, and community stakeholders in innovative urban planning initiatives.