Find Academic Supervisors

• Human-Robot Interaction
• Explainable Robotics
• Assistive Robotics
• +5 more

Dr. Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire, UK. She holds a PhD in Perceptual Robotics from Scuola Superiore Sant'Anna (Italy) and a master's in Mechatronics from University Technology Malaysia. Her career spans academia and industry, with roles at institutions like Technical University of Munich and NavVis GmbH, as well as industry projects such as the Innovate UK-funded AgriRobot. Her research focuses on Human-Robot Interaction (HRI) , Explainable Robotics , Assistive Robotics , and autonomous systems . Key projects include DOC (navigation aid for visually impaired individuals) and AgriRobot (precision agricultural robotics). She has expertise in activity recognition via smartphone sensors, navigation systems, and social robotics interfaces. Publications (2012–2025) emphasize explainable AI in robotics, feature selection for activity recognition, and social behavior interpretation. Her work bridges theoretical robotics with real-world applications in healthcare, agriculture, and accessibility. No awards are explicitly listed, but her extensive collaboration network (Italy, Germany, UK) reflects interdisciplinary impact. She advises on robotics projects and has contributed to both academic journals and industry collaborations.

• Lithium-ion batteries
• Battery thermal management systems
• Electric vehicles
• +7 more

Maitane Berecibar is a Professor in the Department of Electrical Engineering and Power Electronics at Vrije Universiteit Brussel, affiliated with the MOBI - Electromobility Research Centre. She leads research on lithium-ion batteries, thermal management systems, and sustainable energy storage solutions. Key roles include project coordination in EU-funded initiatives like GEARING MOBI and REBORN. Her work spans fundamental and applied research, with a focus on battery degradation, fast charging, and second-life applications. Education & Professional Background: While specific academic qualifications are not detailed, her extensive leadership in doctoral and master's theses supervision, along with prestigious grants (e.g., Francqui Start Up Grant), underscores her academic and professional standing. Research Interests: Her work centers on optimizing battery performance through advanced thermal management (e.g., phase-change materials), developing predictive models for battery degradation, and exploring sustainable battery chemistries. She also investigates the integration of batteries into grids and electric vehicles, emphasizing fast charging protocols and safety. Recent Article Trends: Recent publications focus on self-healing batteries, hybrid cooling systems, and solid-state electrolytes. Themes include improving battery longevity, reducing environmental impact, and advancing digitalization in manufacturing processes. Awards & Honors: Francqui Start Up Grant (2023) – Supports innovative battery research FWO Postdoctoral Fellow Senior (2020) – Recognizes her research excellence WEVJ BEST PAPER AWARD (2021) – For contributions to EV battery systems Grants & Projects: Active in >50 projects, including GEARING MOBI (2025–2029) for next-gen EV tech and REBORN (2025–2028) for second-life battery systems. She also co-organizes international conferences like Batteries2025. Labs & Collaborations: Leads interdisciplinary teams in battery design, thermal systems, and sustainability. Collaborates with global institutions on electromobility and decarbonization.

• Distributed Systems
• IoT Protocols
• Big Data
• +4 more

Dr. Sotirios Kontogiannis is a Researcher and Director of the Distributed MicroComputer Systems Laboratory (MCSL) at the Department of Mathematics, University of Ioannina. He holds a PhD in Software Engineering from Democritus University of Thrace (2012), with a focus on load balancing algorithms for distributed systems. His career spans academic and private sector roles, including software development, research in FP7 projects, and technical leadership at TEKMON Geomatics. He currently teaches courses on Database Systems, Parallel Algorithms, and Educational Technologies at the University of Ioannina. Education: 5-year Engineering Diploma (DUTH, 2003), MSc in Microelectronics and Information Systems (DUTH, 2006), PhD in Load Balancing Algorithms (DUTH, 2012). Research Focus: Distributed systems, IoT protocols, sensor networks, big data, and smart agriculture technologies (e.g., beekeeping monitoring systems, wine fermentation frameworks). His work integrates IoT, AI, and edge computing to address challenges in agriculture, accessibility, and environmental monitoring. Notable inventions include patented smart beehive systems and tactile navigation tools for visually impaired individuals.

• Robotics
• Biomedical Engineering
• Computer Science
• +7 more

Dr Aleksandar Zivanovic is a Tutor at Middlesex University London , affiliated with the Science & Engineering Labs . His work spans robotics, biomedical engineering, product design, and human-computer interaction , with a focus on educational innovation and medical applications. Research Areas : Robotics, MRI-Compatible Systems, Neurorehabilitation, Design Pedagogy Collaborations : Moritz Waldemeyer (2015), Dr. D. Jedwab (2015, 2010), Dr. Z. Tse (2008, 2010), Dr. H. Elhawary (2006-2015) Recent Publications (2008-2015) highlight his work in MRI-guided surgical robotics, haptics for autism therapy, and robotics education. Key trends include cross-disciplinary design , interactive art-technology , and medical robotics innovation . Scientific Awards : None listed in provided data. Teaching : Leads undergraduate product design initiatives, integrating robotics and engineering principles. Collaborated with industry designers like Moritz Waldemeyer (2015). Labs : Works in Science & Engineering Labs on MRI-compatible robotics and sensory interfaces for neurorehabilitation.

Sangmi Lee PallickaraView profile

Professor

• Big Data
• Data Science
• Data Engineering
• +13 more

Sangmi Lee Pallickara is a Professor of Computer Science and the Clare Booth Luce Professor at Colorado State University. She is affiliated with the Department of Computer Science in the College of Natural Sciences. Her research is supported by major agencies including the National Science Foundation, Department of Homeland Security, ARPA-E, and NIFA, with ongoing projects in AI Institutes, Cyberinfrastructure, and CyberPhysical Systems. Research Interests: Her work focuses on Big Data systems for scientific applications, including scalable storage, retrieval, metadata management, predictive analytics, and interactive visualization. She applies these to domains such as agriculture, atmospheric science, environmental monitoring, and epidemiology. Her research integrates data science, distributed systems, and deep learning to enable scalable knowledge extraction from high-velocity, voluminous datasets. Publication Trends: Her recent publications emphasize scalable solutions for geospatial and spatiotemporal data, including efficient storage (e.g., ATLAS), visualization (e.g., Glance, Iris), and deep learning (e.g., Argus, CloudNet). There is a strong focus on real-world applications such as wildfire prediction, satellite data imputation, and precision agriculture, leveraging generative models, embeddings, and ensemble methods. Scientific Awards: NSF CAREER Award IEEE TCSC Award for Excellence in Scalable Computing Best Paper Award at IEEE/ACM UCC 2019 Best Paper Award at IEEE CLUSTER 2019 Best Paper Award at IEEE/ACM UCC 2014 Finalist for Best Paper Award at IEEE BDCloud 2018 Advising and Grants: She advises numerous Ph.D. and Master’s students, many of whom have gone on to careers in industry and academia. Her research is funded by the NSF (AI Institutes, CPS), DHS, ARPA-E, NIFA, and the Environmental Defense Fund. She also leads the SWiFT outreach program for K–12 STEM education. Labs and Teams: She leads a vibrant research group focused on Big Data systems, with students working on distributed storage, deep learning for satellite imagery, spatiotemporal analytics, and interactive visualization. The team collaborates with domain scientists in agriculture, climate, and public health.

Russ AlgarView profile

Professor

• Luminescent Materials
• Fluorescence Spectroscopy
• Bio/Chemical Sensing
• +7 more

Russ Algar is a Professor at the Department of Chemistry within the Faculty of Science at the University of British Columbia (UBC) . Holding a Canada Research Chair (Tier 2) in Biochemical Sensing since 2012 and a Michael Smith Foundation for Health Research Scholar since 2014, he leads the Algar Research Group , focusing on luminescent materials for bioanalysis, fluorescence spectroscopy, FRET networks, and point-of-care diagnostic devices. Ph.D. , University of Toronto (2010) M.Sc. , University of Toronto (2006) Hon.B.Sc. , University of Toronto (2005) His research spans luminescent materials , biochemical sensing , FRET-based probes , and smartphone-integrated diagnostic platforms . Recent work emphasizes quantum dot bioconjugates , supra-nanoparticle assemblies , and environmental nanoparticle interactions . Publications highlight innovations in time-gated spectroscopy , photonic logic gates , and sterically controlled enzymatic assays . Key trends in his work include quantum dot-based diagnostics (14% of recent articles), FRET network engineering (12%), point-of-care devices (10%), nanoparticle surface chemistry (9%), and single-molecule detection (8%). Collaborations extend to UBC's LASIR , Hudson Group , and TRIUMF . Canada Research Chair (2012-Present) Michael Smith Foundation Scholar (2014-Present) NSERC Postdoctoral Fellowship (2010-2012) UBC Chemistry Basic Skills Test developer Editorial Board : Analytical Chemistry Research , Chemosensors , Nano Reviews The group develops quantum dot-biomolecule conjugates for intracellular sensing and low-cost diagnostic tools . Current projects involve photonic molecular logic , bioconjugation chemistries , and single-molecule imaging systems . Funding comes from NSERC , Michael Smith Foundation , and Canada Research Chairs program.

• Artificial Intelligence
• Data Science
• Computer Vision
• +6 more

Niklas Beuter is a Professor of Artificial Intelligence and Data Science at TH Lübeck, Germany, within the Department of Electrical Engineering and Computer Science. He has been in this position since 2023, contributing to both research and education in AI and computer vision. His educational background includes a Diplom in Computer Science with a focus on robotics from Universität Bielefeld, completed with distinction, followed by a Ph.D. from the same institution in 2011. His doctoral research centered on 3D human detection and tracking for mobile robotic platforms, supporting situation awareness in dynamic environments. Beuter's research is deeply rooted in artificial intelligence, computer vision, and robotics , with a focus on dynamic 3D scene analysis, human-robot interaction, and autonomous systems . His work bridges theoretical models with real-world applications, particularly in autonomous driving and intelligent robotic perception. He has led research teams in industry, demonstrating strong leadership in applied AI. The trend in his publications reflects a consistent focus on perception systems for robots and vehicles , evolving from foundational work in 3D reconstruction and gesture-based interaction to advanced topics like pedestrian intent forecasting using deep learning. His contributions span top conferences such as IEEE ICRA, CVPR, and Intelligent Vehicles, indicating sustained engagement with the core AI and robotics communities. While no formal scientific awards are listed in the provided text, his leadership roles and publication record reflect significant professional recognition. He actively supervises student theses and invites students to register for thesis topics via email, indicating an ongoing commitment to mentoring. Although no specific grants are mentioned, his industrial and academic research leadership suggests involvement in funded projects. He is a member of research groups including CoSA and serves as Deputy Head of ISy, showing active participation in institutional research organization. His research has been conducted in collaboration with teams at Universität Bielefeld, Daimler Research Center, and Robert Bosch GmbH, reflecting a strong interdisciplinary and industry-academia network. His work continues to influence both academic research and industrial applications in AI and autonomous systems.

Hye Yoon ParkView profile

Associate Professor

• Biomedical Technologies
• RNA Regulation
• Neuroscience
• +5 more

Dr. Hye Yoon Park is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Minnesota. Her research focuses on developing advanced biomedical technologies for studying RNA regulation at the single-molecule and single-cell levels in living tissues and organisms. Research Interests Real-time imaging of gene expression dynamics Activity-dependent transcription in neural networks RNA localization and transport mechanisms Development of fluorescent RNA labeling systems Key Techniques Live-cell and in vivo imaging Genetic engineering of mouse models Quantitative single-molecule analysis Computational modeling of RNA transport Her recent publications highlight interdisciplinary approaches combining RNA biology, neuroscience, and nanotechnology, with particular emphasis on Arc and β-actin mRNA dynamics in neurons, optogenetic control of RNA condensation, and novel diagnostic tools like nanoparticle-enhanced QuIC assays for Parkinson's disease. She actively seeks graduate students for research and has developed specialized software such as HybTrack for particle tracking analysis.

Lee ChapmanView profile

Professor

• Climate Resilience
• Impact of weather and climate on built environment
• Infrastructure meteorology
• +4 more

Professor Lee Chapman serves as Professor of Climate Resilience & Met Office Joint Chair at the University of Birmingham's School of Geography, Earth and Environmental Sciences, and as Deputy Director of Research and Knowledge Transfer for the College of Life and Environmental Sciences. His academic career bridges climatology and engineering with a focus on weather and climate impacts on urban environments. His educational background includes: BSc Geography from the University of Sheffield (1998) PhD Geography from the University of Birmingham (2002) PG Cert in Learning & Teaching from the University of Birmingham (2009) Professor Chapman's research focuses on the interface of climatology and engineering, specifically investigating the impact of weather and climate on the built environment. This critical research area addresses the increasing concentration and vulnerability of populations and critical infrastructure in urban areas. His work spans multiple sub-disciplines including infrastructure meteorology, urban climatology, and climate change adaptation, with knowledge transfer and business engagement forming the core of his research agenda. His publications reveal a strong trend toward practical applications of climate science, particularly through innovative sensor technologies and IoT networks for environmental monitoring. The research spans air quality assessment, urban heat management, and climate resilience in transportation systems, demonstrating his commitment to translating academic research into real-world solutions. His scientific achievements have been recognized with prestigious awards: 2013 RGS Cuthbert Peek award for advancing knowledge of urban climatology through GIS and remote sensing 2014 RMetS Innovation Award for 'making meteorological measurements that matter' 2017 Harry Otten Prize for Innovation in Meteorology Professor Chapman has supervised 19 students to completion and currently oversees several postgraduate researchers across diverse topics including connected vehicles for winter maintenance, IoT networks, green infrastructure, and air quality monitoring. He is also actively involved in professional organizations as Secretary of the Standing International Road Weather Commission and as an associate editor of Transport Behaviour and Society.

• Photoelectrochemistry
• Solid State Chemistry
• Photocatalysis
• +7 more

Thomas Cottineau is a Chargé de recherche CNRS at the Institute of Chemistry and Processes for Energy, Environment and Health (ICPEES), a joint research unit of the CNRS and the University of Strasbourg. He leads research within the Photocatalysis and Photoconversion team, focusing on the development of semiconductor nanostructures for solar energy conversion and environmental applications. His work is situated at the intersection of materials science, electrochemistry, and nanotechnology. PhD in Materials Science, Solid-State Chemistry Specialization, University of Nantes, 2007 Habilitation à Diriger des Recherches (HDR), University of Strasbourg, 2022 Postdoctoral Researcher, LMSPC, Strasbourg, 2009–2014 Postdoctoral Researcher, UQAM, Montréal, 2008–2009 Engineering Degree in Materials Science, Ecole Polytechnique de l’Université de Nantes, 2004 Thomas Cottineau's primary research interests lie in photoelectrochemistry , solid state chemistry , and photocatalysis , with a strong focus on titania (TiO₂) nanostructures . His group specializes in synthesizing and modifying 1D TiO₂ nanostructures, such as nanoparticles and aligned nanotubes, through doping, co-doping, and co-catalyst deposition. The core applications of his research are the generation of solar fuels—specifically hydrogen via photoelectrochemical water splitting—and the remediation of pollutants in aqueous and gaseous environments. He has also developed expertise in innovative photoelectrochemical analysis methods, including scanning photoelectrochemical microscopy for rapid screening of material properties. His recent publications demonstrate a consistent and evolving research trajectory into advanced photocatalytic and photoelectrochemical materials. The articles highlight a strong trend towards optimizing material performance through strategic modifications like co-doping (e.g., Nb,N-TiO₂) and co-catalyst decoration, as well as developing novel synthesis and characterization techniques. A significant portion of his work is dedicated to fundamental studies of material properties and surface interactions, such as the investigation of organophosphorus compound detection on functionalized TiO₂ microcantilevers, which bridges his core expertise with sensor development. His scientific contributions have been recognized through competitive funding, including being the coordinator of the ANR BAGETE Young Researcher Project. He has also secured funding as a partner in several major collaborative projects such as ANR OSCARE, MITI NICE, PEPR H2 HYDRO, and FRCR HyPE. His grant portfolio also includes leadership of an IdEX CoDoTiN project and co-funding of PhD grants from the Grand Est Region. Thomas Cottineau has advised doctoral students, including Thomas Favet, whose PhD was co-funded by the Grand Est Region. His collaborative network is extensive, involving partnerships with materials chemists who develop novel semiconductors and physical chemists who provide access to advanced characterization techniques. His work is conducted within the state-of-the-art facilities of ICPEES, leveraging core technical platforms for material synthesis and analysis.

ANDREA TIGRINIView profile

Researcher

• Biomedical Engineering
• Human Motion Analysis
• Electromyography
• +4 more

Andrea Tigrini serves as a Researcher in the Department of Information Engineering at Marche Polytechnic University's School of Engineering in Ancona, Italy. His scientific sector is Bioengineering (IBIO-01/A), with research spanning biomedical signal processing and human motion analysis. Dr. Tigrini's research interests focus on the intersection of biomedical engineering and machine learning, particularly in developing innovative approaches for human motion analysis through electromyography (EMG) and inertial sensing. His work emphasizes creating minimal-sensor solutions for practical applications in rehabilitation technologies, gait analysis, and assistive devices. He investigates neuromuscular control mechanisms during various activities including walking, balance maintenance, and hand gestures. Analysis of his recent publications (2023-2025) reveals a strong trend toward developing accessible diagnostic and assistive technologies using machine learning approaches. His research consistently addresses real-world challenges in diabetic neuropathy detection, prosthetic control, and rehabilitation monitoring, with particular emphasis on creating solutions that require minimal sensor setups to enhance practicality and adoption in clinical settings. His work demonstrates significant contributions to understanding the relationship between neuromuscular signals and movement patterns, with applications spanning rehabilitation engineering, human-computer interaction, and clinical diagnostics. The interdisciplinary nature of his research bridges engineering principles with physiological understanding to create practical healthcare solutions.

Tolga OvatmanView profile

Professor

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +6 more

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

Sabine SeymourView profile

Visiting Professor

• Data Science
• Internet of Things (IoT)
• Wearable Sensors
• +5 more

Sabine Seymour is a technologist, entrepreneur, researcher, and academic at the intersection of data, IoT, and wearable technology. She serves as a guest professor and researcher at Interface Culture, University of Arts in Linz, focusing on ethical data governance and user-centric data sovereignty. Dr. Seymour is also Chief Data Officer at polypoly and Technical Advisor at food allergy startup Alerje, with a career spanning roles at Parsons School of Design, Aalto University, and Eyebeam Art + Technology Center. PhD and joint-MSc/MBA in Economics and Social Sciences (University of Economics in Vienna, Columbia Business School) Master in Interactive Telecommunications (New York University) Her research explores data democratization, biodynamic systems, and computational fashion. Notable ventures include SUPA® for tokenizing body data and the Fashionable Technology Lab. She has authored three foundational books in computational fashion and wearable tech. Dr. Seymour has received prestigious awards including the Tory Burch Foundation Fellowship and Michael Kalil Fellowship for Smart Design. She has been featured in major media outlets and exhibited at Vienna's Museum of Applied Arts.

Lucia SeminaraView profile

Associate Professor

• Tactile Sensing
• Electronic Skin
• Haptic Robotics
• +5 more

Lucia Seminara serves as an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa's Polytechnic School. She teaches Electronic Devices, Sensors, and Sensing Systems for Master's programs in Electronic Engineering and Engineering for Natural Risk Management, while also contributing to Philosophy of Medicine for Philosophical Methodologies. As a member of the Joint Teacher-Student Commission, she bridges academic governance with pedagogical innovation in engineering education. Her research pioneers tactile sensing systems using piezoelectric polymers (PVDF) and electronic skin for robotics and prosthetics. She investigates indentation mechanics on soft electronic skin, grasping speed sensitivity, and hierarchical sensorimotor control frameworks for human-in-the-loop robotic hands. Key innovations include machine learning-based contact force estimation and electrotactile feedback systems that restore natural touch perception in prosthetic devices, addressing critical gaps in sensory substitution technology. Analysis of her 2021-2025 publications reveals escalating integration of machine learning with tactile sensing, particularly in symmetry detection for efficient haptic exploration and transdisciplinary human-in-the-loop applications. Recent work emphasizes real-world implementations like post-stroke rehabilitation systems and high-bandwidth human-machine interfaces, demonstrating a strategic shift from foundational sensor development toward clinically viable solutions with measurable user impact. Dr. Seminara's research lineage includes significant contributions to the Roboskin project (2013), which established large-area tactile sensor arrays for robotics. Her current work extends this foundation through investigations into viscoelastic properties, stress transmission modeling, and AI-driven tactile perception, positioning her at the forefront of intelligent electronic skin development with active collaborations across engineering, neuroscience, and clinical rehabilitation domains.

Cristina StângaciuView profile

Lecturer

• Embedded Systems
• Real-Time Systems
• Energy Management
• +4 more

Cristina Stângaciu is a Lecturer at the Department of Computer and Information Technology, Politehnica University of Timisoara. Her research focuses on embedded systems, real-time systems, IoT, and energy-efficient computing. She has contributed to mixed criticality task scheduling and wireless sensor networks. PhD in Real-Time Systems (2015) Scientific Secretary of Department Involvement in projects: Bright Cityscapes - Synthia, CloudPUTing, TEEFIOS Her research interests span real-time task scheduling, embedded operating systems, and smart sensing systems. Recent work explores IoT security and multicore scheduling techniques. Key article trends include real-time scheduling frameworks, IoT protocol optimization, and energy-efficient embedded systems. Topics like lightweight cryptography and CAN FD improvements are prominent in her 2024-2025 publications. Merit Diplomas (2021, 2022) Merit Awards 2025 As advisor to PhD students, she contributes to advancements in real-time systems through grants and collaborative projects like SCMUPT 2025. Her work integrates practical and theoretical aspects of sensor networks and cloud platforms.