Find Academic Supervisors

• Edge Computing
• Wireless Networks
• Mixed Reality
• +12 more

Tao Han is an Associate Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), where he conducts cutting-edge research in edge computing, wireless networks, mixed reality, and machine vision. He leads multiple federally funded research projects supported by the National Science Foundation (NSF), including CAREER and I-Corps initiatives. His research focuses on enabling next-generation intelligent systems through innovations in wireless edge computing , deep reinforcement learning for network automation , holographic telepresence , and energy-efficient mobile networks . His work integrates AI, IoT, and immersive technologies to create scalable, secure, and adaptive systems for real-world applications. The recent article trends highlight a strong emphasis on metaverse infrastructure , XR spatial communication , UAV-based edge networks , and real-time health monitoring . These publications reflect a cohesive vision of intelligent, human-centric, and sustainable computing environments. NSF CAREER Award NSF I-Corps Program Funding Tao Han has secured over 10 federal grants as Principal Investigator (PI), including major NSF projects such as AutoEdge , AirEdge , UbiVision , and Low-Cost Holographic Telepresence . These grants support his lab’s work in developing autonomous, efficient, and immersive communication systems. He actively mentors students and collaborates with researchers like Nirwan Ansari and Chen-Chi Chu. While specific advisees are not listed, his leadership in large research projects suggests significant advisory and team-building roles. His research is conducted through a dynamic lab environment focused on edge intelligence , wireless automation , and immersive computing , where interdisciplinary teams develop prototypes and deployable systems for future networks.

• Computer Graphics
• 3D Modeling
• Computer Animation
• +7 more

Marie-Paule Cani is a Professor of Computer Science at École Polytechnique (Institut Polytechnique de Paris), where she serves as Dean of the Master of Science and Technology program and leads the STREAM research team at LIX Laboratory (CNRS/IP Paris). Her research bridges computer graphics, HCI, and AI, focusing on expressive 3D modeling, animation, and virtual environments. Education: 1987: M.Sc. in Computer Science, École Normale Supérieure & University Paris XI 1990: Ph.D. in Computer Graphics, University Paris XI 1995: Habilitation in Computer Science, Institut National Polytechnique de Grenoble Research Interests: She pioneers user-centered tools for 3D content creation, combining gesture-based interfaces (sketching, sculpting) with knowledge-enhanced procedural models. Key areas include implicit surfaces, physical simulation, AI-driven animation, and accessible tools for non-experts. Her work enables intuitive design of complex shapes, terrains, and dynamic scenes. Publication Trends: Recent work (2023–2025) emphasizes AI-integrated graphics, including controllable natural phenomena (volcanoes, erosion), sketch-based bio-visualization, reinforcement learning for animation, and real-time character control. Cross-disciplinary applications span geology, biology, and cinematography. Awards & Honors: ACM Steven A. Coons Award (2023) French Academy of Sciences (2020) ACM SIGGRAPH Academy (2019) ERC Advanced Grant EXPRESSIVE (2012–2017) CNRS Silver Medal (2012) Leadership & Grants: She founded research teams (STREAM, Imagine, Evasion) and secured major funding: ERC Advanced Grant, Google-École Polytechnique AI Chair (2018–2021), Horizon 2020 project CLIPE (2020–2024), and Hi!Paris Creative AI Fellowship (2021–2024). She mentors researchers in geometric modeling, animation, and AI. Labs & Teams: Directs the Modeling, Simulation & Learning pole at LIX (2019–2023). Founded STREAM (Structure Representation for Animation/Modeling) and Imagine (Inria/Grenoble teams), advancing real-time graphics and procedural content.

• Conservation Science
• Wildlife Ecology
• Animal Behaviour
• +12 more

Dr. Pete Haswell is a Lecturer in Conservation Science at Bangor University within the School of Environmental and Natural Sciences . He is actively involved in research on wildlife ecology, human-wildlife coexistence, carnivore conservation, and environmental philosophy. His work bridges empirical science and ethical inquiry, with field research spanning Croatia, Idaho, and the Mojave Desert. PhD in Biology, Bangor University Postdoctoral experience at University of California, Davis Member, Royal Society of Biology and The Wildlife Society Advisory Council Member, International Wildlife Coexistence Network Research Collaborator, Croatian Large Carnivore Project (since 2010) Dr. Haswell's research interests are centered on conservation science , carnivore ecology , and behavioral responses to predation risk . He investigates how species interact under human influence, with a focus on mesopredator behavior, nonlethal conflict mitigation, and habitat restoration. His recent work explores the spatiotemporal dynamics of endangered rodent communities and the role of restoration in invasive species control. He also integrates environmental ethics into conservation, advocating for reduced consumption and cultural shifts toward sustainability. The most recent publications reflect a strong trend in ecological interactions , conservation conflict resolution , and ethical dimensions of environmental science . His work combines field observation, experimental design, and philosophical analysis, contributing to both applied management and theoretical understanding in conservation. Notable scientific contributions include: Development of nonlethal strategies for wolf-sheep coexistence in Idaho Research on fear-mediated behavior in mesopredators Advocacy for ethical consumption and intergenerational equity in environmental policy Leadership in camera trapping methodology for behavioral research Dr. Haswell mentors graduate students and collaborates internationally. He has contributed to conservation education through guest lectures, seminars, and public outreach, including writing for Wolf Print magazine. His research is supported by collaborations with conservation NGOs and academic institutions in the UK, USA, and Croatia. He is also involved in reviewing for major journals such as Journal of Applied Ecology , Conservation Letters , and Proceedings of the Royal Society B . His work is conducted within interdisciplinary teams and often involves field-based studies on predator-prey dynamics, human disturbance, and restoration outcomes. He continues to lead research on the Amargosa vole and broader implications for desert ecosystem conservation.

David GruberView profile

Professor

• Marine Biology
• Animal Communication
• Biofluorescence
• +12 more

David Gruber is a Distinguished Professor of Biology and Environmental Sciences at the City University of New York, with affiliations at Baruch College and the CUNY Graduate Center. He is also the Founder and President of Project CETI, a nonprofit interdisciplinary initiative focused on decoding sperm whale communication using advanced machine learning and robotics. His work bridges marine biology, climate science, animal communication, and bio-inspired technology. Education and Professional Background: Ph.D. in Biology (specific institution not mentioned in text) Postdoctoral training likely in marine molecular biology or biophysics (inferred from research) National Geographic Explorer and Emerging Explorer (2014) Principal Investigator, Project CETI (Audacious Project, 2020) Research Interests: David Gruber's research is deeply interdisciplinary, focusing on the intersection of marine life and technology. He investigates biofluorescence and bioluminescence across diverse species—from corals and eels to sharks and sea turtles—discovering over 200 glowing organisms. His lab explores the molecular basis of these phenomena, identifying novel fluorescent proteins with potential biomedical applications. A major focus is animal communication , particularly in sperm whales, where he applies AI and natural language processing to decode vocalizations. He also studies coral resilience to climate change and deep-sea ecosystems. Recent Research Trends: Gruber’s recent publications reveal a strong shift toward integrating artificial intelligence with marine bioacoustics. His team uses convolutional neural networks to classify sperm whale clicks and identify individuals with high accuracy. There is a growing emphasis on unsupervised machine translation to interpret non-human communication, suggesting a future where interspecies dialogue may be possible. His work increasingly combines soft robotics, genomics, and real-time underwater sensing to enable non-invasive study of fragile deep-sea life. Scientific Awards and Recognition: National Geographic Emerging Explorer (2014) Multiple National Geographic Grants (2010–2020) Audacious Project Funding for Project CETI (2020) Leader in the global movement for ocean conservation and interspecies communication Advising and Grants: As a principal investigator and professor, Gruber mentors students and early-career scientists in marine biology, genomics, and bio-inspired technology. He has secured significant funding from National Geographic and other sources to support deep-sea exploration, coral research, and whale communication studies. His grants emphasize innovation in wildlife technology , including the development of gentle, on-whale sensors and soft robotic samplers. These projects often involve collaboration with engineers, computer scientists, and conservationists, reflecting his commitment to interdisciplinary science. Labs and Teams: Gruber leads a multidisciplinary research group that collaborates with the Harvard Microrobotics Laboratory, the Dominica Sperm Whale Project (led by Shane Gero), and institutions worldwide. His lab develops cutting-edge tools such as the 'shark-eye camera' and soft robotic grippers for delicate marine organisms. Project CETI brings together over 50 scientists from more than 15 institutions, forming one of the largest collaborative efforts in cetacean communication research.

Ivan PetrovićView profile

Professor

• Control Systems
• Robotics
• Computer Vision
• +3 more

Ivan Petrović is a Full Professor at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on advanced control systems, mobile robotics, computer vision, and estimation theory, with significant contributions to autonomous navigation, path planning, and sensor fusion techniques. Specializations in robotics , SLAM , visual odometry , and nonlinear control systems . Recent work includes transformer-based gesture recognition pipelines, uncertainty-aware calibration methods, and reinforcement learning approaches for soft robotic control. His projects integrate probabilistic models, deep learning, and geometric algorithms for real-time autonomous systems. For collaboration or further information, contact: ivan.petrovic@fer.unizg.hr

Emma CampbellView profile

Lecturer

• Socially Engaged Art
• Photography
• Abortion Rights
• +3 more

Emma Campbell is a Lecturer in Photography at the Belfast School of Art , Ulster University. She is a co-convenor of Alliance for Choice (Northern Ireland's largest abortion rights group), a Trustee for Abortion Support Network , and a Board Member of Outburst Queer Arts . Her practice-based PhD explores photography as an activist tool for abortion rights, blending art with legislative critique. Education: PhD in Photography (Ulster University, 2024) Research Interests : Photography as a medium for reproductive justice activism Historical intersections of art and surveillance (e.g., suffragette mugshots) Decommodified labor in artistic and feminist movements Transnational abortion access and digital activist networks Postcolonial legal frameworks affecting reproductive rights Recent Work Trends combine documentary photography with feminist theory, examining how visual media challenge state control over bodily autonomy. Her 2025 Competing Framings of Abortion analyses legislative rhetoric, while The Goose and the Common (2025) explores collaborative art interventions in public spaces. Scientific Awards : Turner Prize winner (2021, Array Collective) Campaign of the Year Award (Alliance for Choice, 2018) Turner Prize shortlist (2021) Advising and Collaborations : Supervised Ashab Arif Ahmad's PhD research; active in Array Collective , Reclaim the Agenda , and Women's Policy Group . Grants include institutional support for An Appropriate Hobby (2022-2025), a project merging art with abortion decriminalisation advocacy. Labs/Teams : Collaborates with Array Collective , Alliance for Choice , and Abortion Support Network to integrate art into policy discourse and grassroots campaigns.

• Atmospheric Turbulence
• Aerosol Optics
• Directed Energy Weapons
• +3 more

Dr. Steven T. Fiorino is a Professor of Engineering Physics at the Air Force Institute of Technology (AFIT), Graduate School of Engineering and Management. His work focuses on atmospheric effects on directed energy systems , with specific expertise in optical turbulence, aerosol absorption/scattering, and numerical weather prediction for HEL (High Energy Laser) applications. PhD in Physical Meteorology (Florida State University, 2002) M.S. in Atmospheric Dynamics (Ohio State University, 1993) B.S. in Meteorology (Florida State University, 1989) B.S. in Geography (Ohio State University, 1987) His research interests span: Atmospheric turbulence profiling via time-lapse imagery , sonic anemometry , and Rayleigh beacons Aerosol optical property quantification for laser propagation and helicopter brownout Development of global cloud-free line-of-sight (CFLOS) tools using 4D weather cubes Integration of NWP (Numerical Weather Prediction) with real-time sensor data for battlefield weather support Recent article trends emphasize multispectral extinction modeling , coupling sensible/latent heat fluxes to optical turbulence , and novel sensor fusion (e.g., PM2.5 counters, IR thermometers, time-lapse cameras). His work appears in Applied Optics , Optical Engineering , and AMS journals , often in collaboration with Dr. J. McCrae , Dr. S. Bose-Pillai , and Dr. K. Keefer . He has contributed to textbooks like Defense Innovation Handbook (2018) and An Introduction to Laser Weapon Systems (2010) , and regularly presents at DEPS Symposia , IEEE Aerospace Conferences , and Optica Congresses .

Brian S. ThurowView profile

Associate Professor

• Experimental Fluid Dynamics
• Optical Diagnostics
• 3D Flow Visualization
• +12 more

Brian S. Thurow is the W. Allen and Martha Reed Associate Professor in the Department of Aerospace Engineering at Auburn University’s Samuel Ginn College of Engineering. He has been a core faculty member since 2005, contributing significantly to research, teaching, and graduate education. He leads the Advanced Flow Diagnostics Laboratory (AFDL) and holds an endowed professorship, reflecting his academic excellence. Education: Ph.D., Mechanical Engineering, The Ohio State University (2005) M.S., Mechanical Engineering, The Ohio State University (2001) B.S., Mechanical Engineering, The Ohio State University (1999) Research Interests: Dr. Thurow specializes in experimental fluid dynamics, with a focus on developing and applying advanced optical diagnostics for measuring complex flows. His work emphasizes high-speed, high-resolution techniques such as MHz-rate particle image velocimetry (PIV) and plenoptic (light field) imaging for 3D flow visualization. He investigates compressible flows, turbulence, aero-optics, and shock-boundary layer interactions, with applications in aerospace propulsion and flow control. Recent Research Trends: His recent publications reflect a strong emphasis on 3D imaging of turbulent and compressible flows using plenoptic cameras and background-oriented Schlieren (BOS). Projects span from fundamental turbulent boundary layer studies to high-temperature jet diagnostics, often funded by AFOSR, ARO, ONR, and NSF. The integration of computational imaging with fluid mechanics is a recurring theme, enabling non-intrusive, volumetric flow field measurements. Scientific Awards: SGA Outstanding Faculty Member Award (2006, 2008, 2009, 2012, 2013) AIAA Most Outstanding Faculty Member Award (2009, 2012, 2013) William F. Walker Teaching Award for Excellence (2009) Auburn Alumni Engineering Council Research Award (2009) Provost’s Award for Supporting Graduate Scholarship (2011) W. Allen and Martha Reed Endowed Professorship (2010) Invited to National Academy of Engineering’s U.S. Frontiers of Engineering Symposium (2013) National Defense Science and Engineering Graduate Fellowship (2001) Advising and Grants: Dr. Thurow is a dedicated mentor, supervising numerous graduate and undergraduate students in cutting-edge research. He has secured significant funding from the Air Force Office of Scientific Research, Army Research Office, Office of Naval Research, and National Science Foundation. He serves as co-PI on a $2.7M AFOSR grant studying 3D shock-boundary layer interactions. He founded the graduate student recruitment and fellowship committee and the council of engineering graduate students, significantly enhancing graduate education at Auburn. Labs and Teams: He founded and directs the Advanced Flow Diagnostics Laboratory (AFDL), which develops and applies state-of-the-art optical techniques for fluid dynamics. The lab collaborates with institutions like the University of Illinois, University of Texas-Austin, and the National Center for Physical Acoustics.

Aamir AhmadView profile

Professor

• Aerial Robotics
• Multi-Robot Systems
• Deep Learning
• +4 more

Aamir Ahmad is a Tenure-Track Professor and holder of the chair 'Flugrobotik' (Flight Robotics) at the University of Stuttgart. He serves as Deputy Director (Research) at the Institute of Flight Mechanics and Control and leads the Flight Robotics and Perception Group (FRPG). Additionally, he is a Research Group Leader at the Max Planck Institute for Intelligent Systems (Perceiving Systems Department). His research focuses on aerial robotics, multi-robot systems, deep learning, and reinforcement learning applied to autonomous systems. Key research areas include formation control, aerial vision, and simultaneous localization and mapping (SLAM). He has published extensively on topics like reinforcement learning for multi-rotor landing, autonomous motion capture using aerial vehicles, and cooperative target tracking. His work often integrates theoretical advancements with practical applications in robotics, such as archaeological site mapping and environmental monitoring. Recent publications highlight trends in reinforcement learning for control systems, multi-agent coordination, and perception-driven robotics. Ahmad's group collaborates on projects funded by institutions like the European Union and German research networks. He actively mentors students and hosts research positions across all academic levels, emphasizing innovation in intelligent systems and robotics. His contributions have led to advancements in autonomous aerial systems, with applications in both academic and industrial settings. The FRPG team’s work has been showcased at conferences like IROS and ICRA, reflecting a balance between foundational research and real-world implementation.

Greg FalzonView profile

Associate Professor

• Precision Agriculture
• Artificial Intelligence
• Data Science
• +8 more

Greg Falzon is an Associate Professor of Precision Agriculture Systems at Flinders University's College of Science and Engineering. His work focuses on advancing agricultural technology through artificial intelligence, data science, and machine learning to address food security challenges. He holds a PhD in Biomedical Image Analysis from the University of New England (2011) and has a strong record in industry-funded research, including over $26 million in grants. Notable projects include the e-Technology Hub for pest management and the Wild Dog Alert System. His research spans agriculture sectors like cotton, dairy, grains, and livestock, with global impacts. Awards include the 2020 Australian Academy of Technology & Engineering ICM Agrifood Award and the 2016 President’s Medal from the Australian Society of Sugar Cane Technologists. Falzon teaches courses in Artificial Intelligence, Data Science, and Statistics, and actively mentors students in these fields. Key contributions include innovative systems for wildlife monitoring (e.g., Sentinel Bait Station), livestock vocalization detection, and automated cattle counting. His work emphasizes interdisciplinary approaches, combining computational, biological, and physical sciences for tangible agricultural outcomes.

Sangjin HongView profile

Professor

• Low-power VLSI Design
• Wireless Communication
• Digital Signal Processing
• +2 more

Roles and Affiliations: Sangjin Hong is a Professor in the Department of Electrical and Computer Engineering at Stony Brook University (SUNY). He holds a Ph.D. from the University of Michigan and has prior industry experience at Ford Aerospace, Samsung, and as a research fellow at the University of Michigan. Education: B.S. and M.S. in Electrical Engineering and Computer Science, University of California, Berkeley Ph.D. in Electrical Engineering and Computer Science, University of Michigan, Ann Arbor Research Interests: Focuses on low-power VLSI design for multimedia and wireless communication systems, SOC design methodology, digital signal processing architectures, and hardware-aware system modeling. His work integrates algorithmic innovation with hardware optimization for real-world applications like surveillance, healthcare, and network systems. Teaching: Teaches core courses such as Discrete Mathematics for Engineers (ESE 122) , Digital Signal Processing Architectures (ESE 375) , and System Specification and Modeling (ESE 356/501) . Courses emphasize hands-on projects and SystemC-based system design. Awards and Affiliations: Senior Member of IEEE Member of Eta Kappa Nu and Tau Beta Pi Honor Societies Key Research Themes: Recent articles highlight work in real-time biomedical imaging, machine learning for education, and multi-sensor collaboration in surveillance systems. His publications span over two decades, reflecting expertise in both theoretical and applied aspects of signal processing and system design.

Ola RingdahlView profile

Associate Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +6 more

Ola Ringdahl is an Associate Professor at the Department of Computer Science, Umeå University, specializing in robotics for agriculture and forestry. He serves as the Director of the MSc program in AI and teaches multiple courses. Research Group: Intelligent Robotics Affiliation: Umeå University, Department of Computer Science His research focuses on developing novel artificial intelligence and machine learning algorithms for autonomous and semi-autonomous robotic navigation, industrial manipulator path planning using 3D localization, and perception algorithms for semantic data extraction from sensors. Projects include EU initiatives Sweeper and CROPS for fruit harvesting robots. Publications highlight applications in precision agriculture/forestry and sensor fusion. Recent publications analyze advancements in agricultural robotics using machine learning, human-robot interaction via multi-camera systems, and grape vine detection with RGB-D data. The majority of his work addresses outdoor environments and sensor-driven decision-making in autonomous systems. Key Collaborators: Polina Kurtser, Thomas Hellström, Yael Edan Ola leads the Intelligent Robotics group and has participated in long-term projects like PRECISION (2018-2021), SOCRATES (2016-2020), Sweeper (2015-2018), and CROPS (2010-2014). His work combines academic research with practical implementation in real-world agricultural and forestry settings.

Camilla Bank FriisView profile

Researcher

• Sociology
• Criminology
• Social Control
• +6 more

Camilla Bank Friis is a Postdoctoral Researcher at the Department of Sociology and Social Work within the Faculty of Social Sciences and Humanities at Aalborg University. Her work focuses on sociological and criminological research related to social differentiation, victimization, and the use of body-worn cameras for behavioral analysis. Current Project : Protecting frontline staff: Can body-worn cameras curb victimization? (2025–2028, Principal Investigator)

• Human-Computer Interaction
• Wearable Technology
• Privacy in Technology
• +5 more

Dr. Marion Koelle is a researcher at the University of Oldenburg and affiliated with the OFFIS Institute for Information Technology , the University of Duisburg-Essen , and the Embedded Interactive Systems Lab at University of Passau. Her work focuses on Human-Computer Interaction (HCI) , with particular emphasis on privacy-preserving wearable technologies , body-based interfaces , and social acceptability of emerging technologies . Marion Koelle's research explores how users interact with augmented reality , smart home ecosystems , and biomaterials for interactive devices . She investigates methods to balance technological innovation with ethical considerations , including gender-specific FemTech and privacy policy design . Her work often incorporates haptic feedback , electrical muscle stimulation , and biodegradable materials for sustainable interfaces. Recent publications highlight her leadership in privacy-preserving systems and socially acceptable wearable design . Koelle collaborates with institutions across Germany and internationally, contributing to journals like Proc. ACM Hum. Comput. Interact. and conferences such as CHI , MUM , and TEI . She actively explores biomaterials for prototyping and privacy mediation in public settings.

Disi ChenView profile

Lecturer

• Machine Vision
• Machine Learning
• Robotics
• +5 more

Dr. Disi Chen is a Lecturer in Robotics and Machine Vision at the Faculty of Environment and Technology (FET), University of the West of England, Bristol. He is affiliated with the Centre for Machine Vision (CMV) and Bristol Robotics Laboratory (BRL). BEng in Mechanical Engineering MEng in Engineering PhD in Probabilistic Framework for Human-Robot Skill Transfer (University of Portsmouth) His research focuses on Machine Vision , Machine Learning , and Robotics , with specific expertise in human-robot skill transfer, gesture recognition, and surface electromyography (sEMG) signal processing. He has developed novel frameworks like the Curved Gaussian Mixture Model (CGMM) and Virtual Reality systems for intuitive skill demonstration perception. Disi Chen's publications emphasize gesture recognition , sEMG signal analysis , and robotic control systems , often integrating deep learning , image segmentation , and human-computer interaction . His work spans applications in prosthetic limbs , rehabilitation robotics , and urban computing . He is part of the Centre for Machine Vision and Bristol Robotics Laboratory , collaborating with institutions like the University of Portsmouth and Wuhan University of Science and Technology. His teaching includes modules on Machine Vision and Robotics .