Find Academic Supervisors

Jaime CamelioView profile

Professor

• Cyber-Physical Systems Security
• Smart Manufacturing
• Statistical Process Control
• +7 more

Jaime Camelio is a Professor at the University of Georgia's School of Electrical & Computer Engineering, specializing in cyber-physical systems security, smart manufacturing, and statistical process control. His work integrates advanced technologies like machine learning, reinforcement learning, and Bayesian inference to enhance manufacturing resilience and safety. He focuses on vulnerabilities in production systems, digital twin applications, and data-driven quality control. His research spans aerospace composites, IIoT-enabled worker well-being monitoring, and synthetic data frameworks for manufacturing simulations. Research interests include cybersecurity in additive manufacturing, occupational safety monitoring via statistical control charts, and innovative approaches to fault detection in assembly systems. He leads projects funded by NSF CPS initiatives, such as collaborative research on manufacturing security and cyber-physical vulnerability assessments. His work bridges theoretical advancements with real-world applications in aerospace, automotive, and industrial IoT sectors. Scientific contributions include frameworks for digital thread integration in product lifecycle management and NURBS-based statistical monitoring of manufacturing surfaces. Publications emphasize both technical innovations and systemic risk mitigation strategies for modern manufacturing ecosystems. His lab explores cutting-edge topics like LLM applications in manufacturing workflows and random sampling strategies to counteract cyber-physical attacks.

Katie SkinnerView profile

Assistant Professor

• Field Robotics
• Underwater Robotics
• Space Robotics
• +5 more

Prof. Katie Skinner is an Assistant Professor of Robotics at the University of Michigan, leading the Field Robotics Group (FRoG). Her research focuses on enabling autonomy in dynamic environments through advancements in perception, multi-sensor fusion, and robot learning. She specializes in underwater and space robotics, with applications in marine archaeology, autonomous vehicles, and planetary exploration. Her work has led to innovations in sonar-based perception, underwater SLAM, and neural radiance fields for 3D reconstruction. She has secured prestigious grants, including the NSF CAREER Award, and actively mentors PhD students like Advaith Sethuraman and Anja Sheppard. Prof. Skinner collaborates with institutions such as NOAA and NASA, contributing to real-world field deployments like the Thunder Bay National Marine Sanctuary surveys. The FRoG lab has developed datasets like AI4Shipwrecks, advancing machine learning for underwater exploration. Her educational background and prior roles are not explicitly detailed in the provided texts, but her extensive conference presentations (IROS, CVPR, ICRA) and leadership in major robotics initiatives underscore her expertise. She emphasizes bridging simulation and real-world deployments, with recent work on GPU-accelerated underwater simulation frameworks (OceanSim) and radar/sonar fusion techniques. Her lab’s contributions span both theoretical advancements and practical tools for autonomous systems in challenging environments. Awards: NSF CAREER Grant Key Collaborations: NOAA Ocean Exploration Program, Thunder Bay National Marine Sanctuary Labs/Teams: University of Michigan Field Robotics Group (FRoG)

Linda BjedovView profile

Associate Professor

• Forest Protection
• Forest Rodents
• Population Dynamics
• +3 more

Linda Bjedov is an Associate Professor at the Faculty of Forestry and Wood Technology, University of Zagreb. She holds a PhD and has conducted postdoctoral research since 2015. Her professional career spans over 15 years in academic and applied research roles, including work on the Biodiversity Project Ötscher at BOKU (Vienna). She currently teaches courses on zoonoses and animal behavior in natural and urban habitats. Her research focuses on forest protection with emphasis on rodent population dynamics, zoonotic diseases (e.g., hantavirus, tick-borne encephalitis), and wildlife management. Key areas include monitoring of invasive species like beavers and small rodents, as well as studying their ecological and public health impacts. Recent work emphasizes Tick-Borne Encephalitis epidemiology, rodent-borne zoonoses, and conservation strategies for endangered small mammals like the Balkan Snow Vole. She has pioneered methodologies for monitoring forest dormice and evaluating rodent damage prevention measures in Croatian forests. Her publications highlight interdisciplinary approaches combining ecology, virology, and wildlife management. Notable projects include long-term rodent population monitoring in state forests and studies on public perception of beaver reintroduction programs.

Dijana PetrovskaView profile

Lecturer

• Biometrics
• Speech Processing
• Computer Vision
• +3 more

Dijana Petrovska is a Lecturer at Telecom SudParis, part of the Université Paris-Saclay. Her work focuses on biometric systems, medical diagnostics, and privacy-preserving technologies. She has contributed to projects like the EMPATHIC Virtual Coach, aimed at improving elderly health through AI-driven virtual assistants. Her research interests include facial recognition, speech processing, and cryptographic key regeneration using biometrics. Notably, she has pioneered methodologies for early-stage Parkinson's disease detection via facial action units and voice analysis. She also explores secure authentication systems combining biometrics with cryptography, emphasizing privacy preservation. Publications span over two decades, with recent work emphasizing cross-disciplinary applications of AI in healthcare and security. While no specific academic awards are listed, her impactful contributions to the field of biometric and medical AI are evident through her prolific publication record and active project leadership. Her involvement in collaborative projects like SpeechXRays and EMPATHIC demonstrates a commitment to bridging technical innovation with real-world societal needs. Though no student advisees are listed, her work likely impacts both academic and industry research ecosystems.

• Mathematical Modeling
• Microfluidics
• Gene Regulatory Networks
• +7 more

Claudiu Vasile Giuraniuc is a Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, where he has been actively contributing since 2010. His interdisciplinary research bridges physics, biology, and computational modeling, with a strong emphasis on microfluidics, gene regulatory networks, and medical image analysis. BSc in Physics, “Al.I. Cuza” University, Iasi, Romania MSc in Physics, Lille 1 University, France PhD in Physics, Katholieke Universiteit Leuven, Belgium (2006) His research focuses on mathematical modeling of biological systems , particularly in developmental biology and microbial pathogenesis. He applies microfluidics and lab-on-a-chip technologies to study cellular behavior under dynamic conditions, including chemical gradients and electrical stimulation. His work in gene regulatory networks and Wnt signaling has provided insights into embryogenesis and tissue development. Additionally, he contributes to orthopedic research through statistical shape modeling of the hip joint and its relation to osteoarthritis. The 15 most recent publications reflect a strong trend toward interdisciplinary systems biology , combining experimental microfluidics with computational modeling. Key themes include cell signaling dynamics , developmental morphogenesis , genetic regulation of bone shape , and synthetic biology applications . The work spans from fundamental physics-based models to translational biomedical research. Scientific contributions are recognized through publications in high-impact journals such as eLife , mBio , and Journal of Bone and Mineral Research . Notable collaborations include work with researchers in immunology, orthopedics, and synthetic biology. As a Principal Investigator, he has led projects such as Microfluidic tools for personalized medicine (NHS Endowment grant) and industry partnerships with ibidi® . He has also served as Co-Investigator on grants related to nanoparticle-embedded membranes and nerve-muscle co-cultures. He mentors research through collaborative projects, though no formal students are listed. His lab integrates microfluidic culture systems , mathematical modeling , and image analysis pipelines to study complex biological phenomena across scales.

• Infectious Diseases
• Immunology
• Tick-borne Diseases
• +4 more

Alexia Belperron is an Associate Dean of Science and QR Education in Yale College, serving as a Research Scientist in Rheumatology, Instructor in Molecular Biophysics & Biochemistry, and Lecturer in Molecular, Cellular & Developmental Biology at Yale School of Medicine. Her research focuses on Lyme disease and tick-borne infections, with expertise in immune responses, spirochete motility, and diagnostic development. She holds a PhD from Dartmouth College (1998) and a BS from Cornell University (1990). Education: PhD in Biochemistry, Dartmouth College, 1998 BS in Biochemistry and Business Management, Cornell University, 1990 Research Interests: Investigates immune responses to Borrelia burgdorferi, spirochete biomechanics using optical tweezers, and diagnostic innovations for Lyme disease. Collaborates with engineering and physics departments on spirochete movement studies and with L2 Diagnostics on testing advancements. Explores other tick-borne pathogens like Babesia and Borrelia miyamotoi. Labs/Teams: Uses intra-vital microscopy and optical tweezers in collaboration with the Dufresne Lab. Active in interdisciplinary teams studying vector-borne diseases and immunology.

• Control Engineering
• Electric Drive Technology
• Power Electronics
• +4 more

Prof. Dr.-Ing. Rudolf Mecke is a Professor of Control Engineering and Electrical Drives at Harz University of Applied Sciences since 2006. His affiliations include the Faculty of Automation and Information and the Department of Automation and Computer Science. Studied Electrical Engineering at Otto von Guericke University Magdeburg (1985–1990) Doctorate in Electrical Engineering (1995) focusing on stator flux-oriented control Research interests span control engineering , electric drive technology , power electronics , and energy conversion/storage . Key contributions include: Dynamic control systems for three-phase drives Model-based state variable determination Inductive contactless power transmission Energy-efficient control strategies Power converter topologies for renewable energy EMC analysis for industrial systems His publications focus on power electronics, wireless energy transfer, and efficiency optimization. Recent work includes multilevel inverters and SiC/GaN semiconductor applications. Research groups under his supervision explored topics like: Contactless energy transmission systems PWM inverter topologies Rotor flux control in induction machines Converter integration in PV/wind systems EMC behavior of IGBT systems High-frequency drive analysis

Matthias LabrenzView profile

Professor

• Microbial Ecology
• Bacterial Taxonomy
• Microplastics Pollution
• +3 more

Prof. Dr. Matthias Labrenz is a Professor at the University of Rostock and heads the Environmental Microbiology working group at the Leibniz Institute for Baltic Sea Research (IOW) in Rostock, Germany. He holds a Diplom in Biology (1995) and a PhD (1999) from Christian-Albrechts-University Kiel, followed by postdoctoral research at the University of Wisconsin-Madison and the German Research Center for Biotechnology. He completed his Habilitation in Microbiology at the University of Rostock in 2008. His research focuses on: Microbial diversity in extreme environments Microplastics pollution and environmental impacts Pathogenic Vibrio ecology in the Baltic Sea Bacterial taxonomy and biogeochemical cycling Development of in situ microbial technologies Labrenz leads major projects including OTC-Genomics (BMBF) for environmental DNA monitoring and BaltVib (EU) on pathogenic Vibrio control. He has published extensively on microbial responses to pollutants, nutrient cycling in redox zones, and microplastic-biofilm interactions. He directs IOW's genetic engineering facility and oversees doctoral researchers in microbial ecology. His group develops innovative methods like microplastic immobilization techniques and autonomous sampling systems.

• Connected and automated vehicles
• Electric vehicles
• Vehicle dynamics
• +5 more

Aldo Sorniotti is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino . He serves as a Scientific Responsible for multiple research projects and leads academic advising for Automotive Engineering programs. His work spans connected and automated vehicles, electric vehicle systems, and advanced vehicle dynamics control. Current research focuses on model predictive control and adaptive control strategies for electric powertrains, autonomous driving, and sustainable mobility solutions. Key projects include EFFEREST (2024-2026) for energy management and CliMAFlux (2024-2026) on axial flux motor drives. His 15 most recent publications (2023-2025) emphasize predictive control algorithms , traction systems , and energy efficiency in electric vehicles, with applications in tire technology, suspension systems, and V2X connectivity. Award highlights include patents like the Traction control system with road preview information . He supervises PhD students in mechanical engineering and contributes to curriculum development in autonomous vehicle technologies.

Holm ZaehresView profile

Senior Lecturer

• Stem Cell Engineering
• Induced Pluripotent Stem Cells (iPS)
• Neural Differentiation
• +3 more

Holm Zaehres is a Senior Lecturer at the Max Planck Institute for Molecular Biomedicine in Münster, Germany, leading the Stem Cell Engineering Laboratory . His work focuses on reprogramming somatic cells to pluripotency using transcription factors like OCT4, SOX2, and KLF4, with significant contributions to induced pluripotent stem (iPS) cell generation from neural and hematopoietic progenitors. Key Research Areas: Stem cell engineering, iPS cell differentiation, genome editing, and disease modeling (including Frontotemporal Dementia and Duchenne Muscular Dystrophy). Publications: Authored 10+ seminal works in Nature , Cell , and Stem Cells , establishing methods for efficient cellular reprogramming and organoid-based disease studies. Collaborations: Partnered with institutions like University of Bonn, German Cancer Research Center (DKFZ), and academic hospitals in neurology and hematology.

Paula FedericoView profile

Professor

• Mathematical Ecology
• Computational Ecology
• Population Dynamics
• +3 more

Paula Federico serves as a Professor in the Department of Mathematics, Computer Science & Physics at Capital University, where she has been a faculty member since 2009 following postdoctoral positions at the University of Tennessee Knoxville and Ohio State University's Mathematical Biosciences Institute. Her teaching responsibilities include Calculus I, Calculus III, Differential Equations, Introduction to Computational Sciences, and Linear Algebra. Her academic credentials include: Ph.D. in Ecology and Evolutionary Biology from the University of Tennessee Graduate Certificate in Applied Statistics from the University of Tennessee B.Sc. in Mathematics from Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina Dr. Federico's research program centers on mathematical and computational ecology, with specific applications to population dynamics, natural resource conservation, epidemic/epizootic modeling, and animal movement behavior. She emphasizes mathematics' relevance across disciplines and seeks to reveal its inherent beauty to students, particularly mathematics majors. Analysis of her publication record reveals consistent focus on developing mathematical frameworks for ecological challenges, especially in spatio-temporal population modeling, habitat quality assessment for mobile species, and migratory network dynamics. These works typically involve large interdisciplinary collaborations addressing conservation biology and wildlife management. No scientific awards are documented in the provided materials. Information regarding graduate student advising, research grants, laboratory facilities, or administrative roles was not included in the source text.

Ocean CheungView profile

Associate Professor

• Porous Materials
• Inorganic Chemistry
• Nanotechnology
• +9 more

Ocean Cheung is an Associate Professor and Senior Lecturer at the Department of Materials Science and Engineering, Uppsala University, Sweden. He is affiliated with the Division of Nanotechnology and Functional Materials at the Ångström Laboratory, where he leads the 'Cheungsters' research group focused on functional porous materials. Associate Professor in Engineering Physics (Nanotechnology and Functional Materials), Uppsala University, 2020 PhD in Materials Chemistry, Stockholm University, 2014 MChem in Chemistry, University of Warwick, UK, 2009 His research spans the synthesis and application of inorganic porous materials, particularly targeting environmental and biomedical challenges. Key interests include sol-gel synthesis , drug delivery systems , water treatment , and carbon dioxide capture . His group explores both micro and mesoporous frameworks with functional properties. The publication record shows a strong trend toward multifunctional materials, integrating environmental remediation and biomedical engineering , with a focus on sustainability and practical applications. Research themes include CO₂ sorption, catalytic degradation, and responsive drug carriers using inorganic carbonates. Ocean Cheung has been recognized with prestigious awards: Swedish King Gustaf's 50th Birthday Award for Sciences, Engineering and Environment (2018) Oscar Prize for young scientists (2020) He has mentored students and researchers within his group and secured research funding for projects in nanotechnology and functional materials. His work involves collaborations across Europe, including past affiliations with Heriot-Watt University and Stockholm University. He actively promotes scientific discourse through the MOFCast podcast and maintains a strong digital presence. The Cheungsters group operates at the intersection of chemistry, materials science, and engineering, contributing to sustainable solutions for global challenges in health and environment.

Thijs W. van de LaarView profile

Assistant Professor

• Probabilistic Programming
• Active Inference
• Bayesian Signal Processing
• +4 more

Thijs W. van de Laar is an Assistant Professor at the Eindhoven University of Technology in the Department of Electrical Engineering , affiliated with the Bayesian Intelligent Autonomous Systems lab (BIASlab) and the EAISI Foundational and High Tech Systems groups. His research focuses on intelligent systems for decision-making under dynamic conditions, particularly through scalable probabilistic programming implementations of Active Inference. Academic Background : PhD (2019, TU/e) in automated Bayesian signal processing algorithm design; MSc in natural sciences (biophysics, science communication, Radboud University). Van de Laar's research integrates probabilistic programming with active inference to develop autonomous agents capable of real-time adaptation. Key methodologies include variational message passing , factor graph representations , and free energy minimization . His recent publications examine active inference formalisms, factor graph applications in AI, and uncertainty reduction strategies. Collaborative work spans hearing aid technology, autonomous navigation, and synthetic intelligence development.

Edessa Negera GobenaView profile

Senior Lecturer

• Clinical Immunology
• Haematology
• Microbiology
• +7 more

Dr Edessa Negera Gobena is a Senior Lecturer in Clinical Immunology & Haematology at the University of East London, School of Health, Sport and Bioscience. He holds qualifications in biology, clinical public health, microbiology, and public health, with a PhD in clinical immunology. BSc (Hons) Biology BSc (Clinical Public Health) MSc (Microbiology) MSc (Public Health) PhD (Clinical Immunology) His research spans infection and immunity, vaccine development, big data analysis, and tropical disease immunopathology. Key contributions include redefining the pathogenesis of Erythema Nodosum Leprosum (ENL) and developing leishmaniasis treatment guidelines for the WHO. His recent work involves machine learning applications in tick-borne disease ecology. Dr Gobena has published over 30 articles and secured grants from the Royal Society of Tropical Medicine, Homes and Hospitals of St Giles (UK), and Ethiopian Science and Technology. Awards include the Tore Godal prize for public health impact in Ethiopia. Key Research Areas: Tropical immunology, vaccine efficacy, immune regulation, computational epidemiology CURRENT RESEARCH: Regulatory T cells in ENL, tick abundance modeling, leishmaniasis outbreaks He leads modules in clinical immunology, haematology, and data analysis, and provides statistical support to researchers. His work bridges laboratory science and public health policy in low- and high-income countries.

Pawel MordakaView profile

Researcher

• Plant Metabolism
• Synthetic Biology
• Chloroplast Engineering
• +3 more

Dr. Pawel Mordaka is a Postdoctoral Research Associate in the Department of Plant Sciences at the University of Cambridge. His research focuses on synthetic biology, genetic engineering, and plant metabolism, with a particular emphasis on chloroplast engineering and metabolic pathway optimization in model organisms like Chlamydomonas reinhardtii and Clostridium . Department: Plant Sciences Academic Rank: Researcher Email: pmm63@cam.ac.uk His work spans synthetic biology tool development (e.g., CpPosNeg selection systems, Start-Stop DNA assembly), transgene regulation in chloroplasts, and bioengineering of microbial-plant interactions. Recent publications highlight advancements in genetic code compression, promoter engineering, and heterologous pathway reconstruction for biofuel and biocatalysis applications. Dr. Mordaka's research intersects molecular plant biology and industrial biotechnology, leveraging algal chloroplasts as testbeds for radical metabolic rewiring. His methodologies include VIGS protocols, PVX expression vectors, and terminator analysis to refine transgene expression. Contact: pmm63@cam.ac.uk