Find Academic Supervisors

• Intelligent Sensor Systems
• Positioning Systems
• Healthcare Technology
• +3 more

Professor Niki Trigoni is a faculty member at the University of Oxford's Department of Computer Science and a Governing Body Fellow at Kellogg College. She holds the rank of Professor of Computing Science. Her research focuses on intelligent and autonomous sensor systems, with applications in positioning, healthcare, environmental monitoring, and smart cities. Trigoni leads the Cyber Physical Systems Group and directs the EPSRC Centre for Doctoral Training on Autonomous Intelligent Machines and Systems (AIMS), which integrates robotics, machine learning, verification/control, and sensor networks. Education: DPhil from the University of Cambridge (2001), followed by postdoctoral research at Cornell University (2002–2004) and a Lectureship at Birkbeck College (2004–2007). Current roles include leadership in AIMS and the Cyber Physical Systems Group. Research Interests: Her work spans sensor networks, inertial navigation, mmWave radar applications, and deep learning for localization and mapping. Recent projects include indoor positioning systems for emergency responders and wildlife monitoring. She has open positions for PhD and postdoc researchers in areas like sensor fusion, human-robot interaction, and SLAM. Publications: Over 50+ peer-reviewed articles, including work on mmPoint, P2-Net, and RandLA-Net. Her research emphasizes real-world applications in robotics and autonomous systems. Grants and Leadership: Received a 3-year NIST grant (2017) for indoor positioning systems and leads initiatives in cyber-physical systems. Active in conference organization, e.g., TPC chair for Sensys 2017 and IPSN 2016. Labs/Teams: Cyber Physical Systems Group focuses on sensor systems, robotics, and autonomous systems. Collaborations span academia and industry, addressing challenges in smart cities and healthcare.

Julia PowlesView profile

Associate Professor

• Privacy
• Artificial Intelligence
• Internet Governance
• +7 more

Julia Powles is an Associate Professor at the UWA Law School and Director of the UWA Tech & Policy Lab. Her research focuses on privacy, intellectual property, internet governance, and the legal and political dimensions of data, automation, and AI. She has led investigations into high-profile cases like the NHS/Google DeepMind data breach and Sidewalk Labs’ smart city project. Currently, she advises on national robotics strategy, responsible AI, and privacy policies in Australia. With a background spanning academia, policy, and law, she holds roles in global committees and contributes to media outlets like the New Yorker and Financial Times. Her work bridges legal frameworks and technological innovation, emphasizing ethical governance and societal impact. Education: BSc (Hons) ANU, LLB (Hons) UWA, BCL Oxford, PhD Cantab. Expertise includes AI ethics, data privacy, and regulatory policy. Recent projects address drone delivery systems, corporate accountability of Big Tech, and governance in health monitoring. Awards include the 40 Under 40 Award for WA (2022) and Poynter Fellowship (2018). Grants include the Children’s Online Safety Program (2024–2027) and Minderoo Foundation initiatives. She chairs the PRIS Universities Network and co-chairs international tech policy summits. Roles: Director, UWA Tech & Policy Lab; Expert on National AI Centre, WA Privacy Committee. Research: Over 100 outputs, focusing on AI governance, corporate liability, and tech ethics.

• Decarbonization of Built Environments
• Bio-Based Materials Engineering
• Structural Systems Optimization
• +3 more

Dr. Bhavna Sharma is an Associate Professor and Director of the Chase L. Leavitt Master of Building Science Program at the USC School of Architecture. Her work focuses on decarbonization, bio-based materials innovation, and sustainable healthcare infrastructure. She leads the Keck USC Sustainable Healthcare Initiative (KUSHI) to advance environmentally conscious healthcare systems. Dr. Sharma holds a Ph.D. in Civil and Environmental Engineering from the University of Pittsburgh, with additional degrees in Art History and Architecture. Her research spans structural systems optimization from material harvesting to building-scale applications, emphasizing bio-composites like bamboo and timber. She co-chairs USC's Presidential Working Group on Sustainability, contributing to Assignment: Earth climate goals. Courses taught include seismic design, structural systems, and building science integration. Key research areas include lifecycle assessment in healthcare, seismic-resistant designs, and interdisciplinary standards for non-conventional materials. Her work bridges material science, architectural practice, and policy to address global sustainability challenges.

Russell TessierView profile

Professor

• Reconfigurable Computing
• FPGA Architecture
• CAD Algorithms for FPGAs
• +4 more

Russell Tessier is a Professor and Department Head of Electrical and Computer Engineering at the University of Massachusetts Amherst, affiliated with the Manning College of Information and Computer Sciences. His research focuses on reconfigurable computing, FPGA architectures, and hardware security, with notable contributions in CAD algorithms for FPGAs, embedded systems, and multi-tenant FPGA vulnerability analysis. Education: B.S.C.S.E., Rensselaer Polytechnic Institute (1989) M.S. and Ph.D., Massachusetts Institute of Technology (1992 and 1999) Research Interests: Dr. Tessier's work spans FPGA security (e.g., side-channel attacks, power distribution vulnerabilities), reconfigurable cloud computing, and hardware acceleration for applications like SAR imaging and machine learning. His lab, the Reconfigurable Computing Group, develops open-source FPGA cores (e.g., FlexGrip GPGPU, DE4 NetFPGA) and explores cutting-edge security countermeasures. Awards and Honors: Chancellor's Leadership Fellow (2015-2016) NSF Information Technology Research Grant Lilly Teaching Fellow (2002-2003) Multiple College of Engineering Excellence Awards Grants and Projects: Active funding includes NSF SaTC grants on reconfigurable cloud security and NASA support for snowpack measurement systems. His research also addresses FPGA-based solutions for cybersecurity, such as intrusion detection and power-side channel mitigation. Labs and Teams: Leads the UMass Reconfigurable Computing Group, which collaborates on open-source FPGA tools, security frameworks, and embedded system designs. The group maintains platforms like the DE4 NetFPGA and FlexGrip architecture.

Daniele LoiaconoView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +6 more

Daniele Loiacono is an Associate Professor at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB), affiliated with the Artificial Intelligence and Robotics Lab (AIRLab). His research focuses on interdisciplinary applications of Artificial Intelligence, Machine Learning, and Deep Learning in medical imaging, radiation therapy, and procedural content generation for games. He leads projects in synthetic image generation for radiotherapy quality assurance, automated treatment planning, and bias analysis in medical AI systems. Key research areas include medical image synthesis using GANs, radiation therapy optimization, and algorithmic game design. His contributions span clinical applications such as total marrow irradiation (TMI) planning and lymph-node segmentation, alongside innovations in shader generation and interactive evolutionary tools for game development. Loiacono collaborates on multi-center studies to validate AI-driven workflows in healthcare and has pioneered methods combining lean Six Sigma with machine learning for treatment process improvement. His work bridges clinical medicine and computer science, addressing challenges in radiation oncology, anatomical imaging, and procedural content automation. The AIRLab serves as a hub for his research, integrating AI advancements into real-world medical and engineering solutions.

Lin WangView profile

Lecturer

• Machine Learning
• Audio-Visual Signal Processing
• Robotic Perception
• +3 more

Dr. Lin Wang is a Lecturer in Applied Data Science and Signal Processing at Queen Mary University of London (QMUL), affiliated with the School of Electronic Engineering and Computer Science. He leads the Machine Listening Lab and is a member of the Centre for Multimodal AI, Centre for Intelligent Sensing (CIS), and Institute of Coding (IoC). His research focuses on audio-visual signal processing, robotic perception, and machine learning, with applications in healthcare, drone-based sensing, and human activity recognition. Dr. Wang holds a PhD from Dalian University of Technology and has held postdoctoral positions at QMUL, the University of Sussex, and the Alexander von Humboldt Foundation in Germany. Education and Roles: PhD in Signal Processing, Dalian University of Technology (2010) Postdoc at Queen Mary University of London (2014–2017) Postdoc at University of Sussex (2017–2018) Alexander von Humboldt Fellow at University of Oldenburg (2011–2013) Fellow of the Higher Education Academy (UK) Research Interests: Audio-visual signal processing for drones and wearable devices Machine listening and robotic perception Machine learning for healthcare and environmental monitoring Human activity recognition using multimodal sensors Awards and Grants: Early Career Champion on AI&Data, UK Acoustics Network Outstanding Article Award, Frontiers in Computer Science (2022) EPSRC grant: Bioacoustic Monitoring Using Drones (£46,821, 2022–2023) Innovate UK grant: Music Source Separation (£48,144, 2024–2025) Teaching and Students: Dr. Wang teaches Applied Statistics , Website Design and Authoring , and Machine Learning for Visual Data Analysis . He supervises PhD students including Ashish Alex (speech separation), Michael Clayton (drone audition), and Dmitrii Mukhutdinov (audio-visual processing). Labs and Teams: He co-leads the Machine Listening Lab and is part of the Centre for Multimodal AI, focusing on interdisciplinary projects in robotics, acoustics, and AI.

• Materials Engineering
• Electrical and Electronic Engineering
• Nanotechnology
• +7 more

Yongxiang Li is a Professor in the School of Engineering at RMIT University, Australia, specializing in advanced materials and nanotechnology. His research focuses on piezoelectric materials, 2D functional materials, and energy harvesting systems. He is actively involved in supervision of PhD and Master’s projects, including topics like flexible piezoelectric nanogenerators, 2D heterostructures, and low-temperature co-fired ceramic (LTCC) sensors. Research Interests: Materials Engineering, Electrical Engineering, Nanotechnology, Condensed Matter Physics, and Functional Ceramic Design. Key projects include developing lead-free piezoelectric materials, integrating sensors for lithium-ion batteries, and exploring gas sensors using liquid metal-derived oxides. Teaching Interests: Dielectric materials, ferroelectric systems, sensor technologies, and LTCC applications. His interdisciplinary work bridges materials science with optoelectronics and energy storage. Publications span over 400 outputs, emphasizing machine learning-driven materials discovery, defect engineering in 2D materials, and sensor innovation. He leads projects in collaboration with industry, focusing on practical applications of advanced ceramics and nanomaterials.

• Social Media Analysis
• Cybersecurity
• Online Disinformation
• +3 more

Jeremy Blackburn is an Associate Professor in the Department of Computer Science at Binghamton University. He co-founded the International Data-driven Research for Advanced Modeling and Analysis Lab ( iDRAMA Lab ) and leads its Binghamton satellite. His research focuses on large-scale measurement and analysis of social media, particularly the behavior of malicious actors and disinformation campaigns.

Aaron J. ChalfinView profile

Associate Professor

• Criminology
• Policing
• Place-Based Crime Prevention
• +5 more

Aaron J. Chalfin serves as Associate Professor and Graduate Chair of Criminology within the Department of Criminology at the University of Pennsylvania's College of Liberal and Professional Studies. He maintains significant external affiliations as a Senior Fellow at the Niskanen Center, faculty research fellow at the National Bureau of Economic Research, and research affiliate at the University of Chicago Crime Lab. His academic foundation includes: PhD in Public Policy, University of California, Berkeley (2013) MA in International and Development Economics, Yale University (2004) BS in Industrial & Labor Relations, Cornell University (2003) Chalfin's research program centers on policing economics, officer behavioral preferences, place-based crime prevention strategies, and victimization determinants. He concurrently advances methodological rigor in social science through innovations in measurement error correction, spatial crime concentration metrics, and administrative data linkage techniques. His empirical approach consistently bridges theoretical criminology with practical policy evaluation. Recent publications reveal evolving research trajectories across bias-motivated violence measurement during pandemics, low-cost gun violence interventions, racial disparities in traffic fatalities, and methodological improvements for policy analysis. This body of work demonstrates sustained commitment to evidence-based criminal justice solutions through experimental and quasi-experimental designs. His ongoing collaboration with the University of Chicago Crime Lab exemplifies integration between academic research and real-world crime laboratory operations, focusing on scalable public safety innovations.

Ronita BardhanView profile

Associate Professor

• Heat-Health and Built Environment
• Decarbonisation of Built Environment
• Urban Microscale
• +12 more

Dr. Ronita Bardhan is Associate Professor of Sustainable Built Environment at the University of Cambridge , where she leads the Cambridge Sustainable Design Group and serves as Director of Research & Deputy Head of the Department of Architecture . She holds courtesy roles at Cambridge Public Health and the Department of Computer Science and Technology , and is a Fellow at Selwyn College . Education: BArch, MCP, MA, PhD (Urban Engineering) Her research intersects built environment , climate change , and public health , focusing on data-driven strategies for precision prevention of health and energy burdens. She pioneers algorithmic approaches to identify decarbonisation potential in buildings and urban areas, with a particular emphasis on gender-inclusive climate adaptation in the Global South. The 15 most recent articles span topics such as urban cooling with tree canopies , heatwave impacts on social systems , and machine learning applications for building energy efficiency . Her work addresses climate justice , hybrid workspace design , and thermal comfort in low-income housing . Awards: Top 50 Finalist Women in Engineering, UK 2024 Exceptional Woman of Excellence, Women Economic Forum Felicitated by Ministry of Health, Maharashtra, India She advises World Bank and ADB on affordable housing and climate resilience, and chairs the Research Ethics Committee at the Department of Architecture. Her lab, the Sustainable Design Group , develops solutions for health and low-carbon potential in built environments.

Dieu Tien BuiView profile

Professor

• Geospatial Artificial Intelligence
• Machine Learning
• GIS and Geomatics
• +6 more

Dieu Tien Bui is a Full Professor in the Department of Business and IT at the University of South-Eastern Norway (USN) School of Business. His research focuses on Geospatial Artificial Intelligence Machine Learning GIS and Remote Sensing Natural Hazard Modeling Environmental Problems (landslides, floods, soil salinity, biomass) . He has contributed to over 15 recent publications in journals like Science of the Total Environment , Remote Sensing , and Geomorphology , emphasizing hybrid AI models for landslide and flood susceptibility. His work spans Vietnam, India, China, and Iran with applications in climate change adaptation and disaster management. Scientific Awards: Global Highly Cited Researcher PhD Supervision: He has supervised 8 PhD students at institutions including USN, NTNU, and Vietnamese universities.

Hannes PetrowskyView profile

Researcher

• Business Psychology
• Negotiation Dynamics
• Behavioral Economics
• +5 more

Dr. Hannes Petrowsky is a Senior Research Associate at the Chair of Business Psychology, Social Psychology & Experimental Methods at Leuphana University of Lüneburg. He earned his M.Sc. in Management & Marketing (2017-2019) and completed his Ph.D. on first-offer effects in negotiations (2020-2023). Academic Affiliation: Institute for Management & Organization (IMO) Location: Universitätsallee 1, C6.419, Lüneburg Contact: hannes.petrowsky@leuphana.de | +49.4131.677-1437 His research spans negotiation psychology , consumer behavior , and the impact of digital technologies (e.g., big data, machine learning, AI, VR). He investigates anchoring effects, price-ending strategies, and socially innovative transformations through inclusive working environments. Key Trends in Recent Publications: Analysis of concession patterns in negotiations using behavioral economics principles Development of immersive VR frameworks for skill acquisition Behavioral science-driven interventions for climate change mitigation Meta-analyses of negotiation dynamics across 25-26 million real-world transactions Exploration of technology adoption in public health contexts Dr. Petrowsky contributes to projects like the Digital Transformation Lab and MEHRCE (circular economy initiatives). His work bridges experimental psychology with digital innovation and sustainable entrepreneurship .

Roel C.G.M. LoonenView profile

Associate Professor

• Building Performance Simulation
• Energy Engineering
• Adaptive Facades
• +7 more

Roel C.G.M. Loonen is an Associate Professor at the Unit Building Physics and Services within the Department of the Built Environment at Eindhoven University of Technology (TU/e), Netherlands. He holds joint appointments with EAISI High Tech Systems and EIRES Research groups, focusing on building performance simulation and energy systems. His work bridges academic research with practical applications through collaborations with SMEs in the building industry. Loonen received his BSc and MSc (cum laude) in Building Services from Eindhoven University of Technology, followed by a PhD in 2018 with a dissertation on 'Approaches for computational performance optimization of innovative adaptive facade concepts.' His educational background has positioned him as a leading expert in building performance simulation and sustainable building technologies. His research interests center on developing and applying modeling and simulation strategies to support decision-making for designing buildings that combine high indoor quality with minimal environmental impact. Key areas include adaptive facades, building-integrated renewable energy systems, and energy-efficient building envelopes. He specializes in creating and validating new building performance simulation models to advance innovative building technologies. His recent publications demonstrate a strong focus on practical applications of building performance simulation, with emphasis on residential energy efficiency, photovoltaic systems, and occupant-centered approaches to building design. The work shows increasing integration of machine learning techniques with traditional building simulation methods, particularly for sensitivity analysis and optimization of building performance. REHVA Young Scientist Award (2021) Best PhD supervisor award from Department of the Built Environment, TU/e (2018) First prize - REHVA International student competition (2011) Smart daylight control for optimal building performance (NWO Take-off award, 2018) Best paper award (2021) Loonen actively supervises PhD and Master's students, evidenced by his Best PhD Supervisor Award in 2018. He manages multiple research projects including Sustainable Summer Comfort (2024-2027), Modeling Innovative Use Scenarios for Future Domestic Comfort (2023-2026), and Just Prepare (2022-2026), with funding from sources including the Dutch Research Council (NWO). His professional service includes being a board member of the Dutch-Flemish IBPSA affiliate and co-chair of IBPSA World's website committee, plus reviewing for 35 academic journals. He leads research within the Building Performance group, focusing on creating practical tools and methodologies that bridge the gap between theoretical building performance models and real-world implementation in the construction industry. His work particularly emphasizes the integration of occupant behavior and practices into building performance models, recognizing that human factors are critical to achieving sustainable building performance in practice.

• Photonics
• Integrated Waveguides
• Optical Sensors
• +5 more

Professor B M Azizur Rahman is a distinguished academic in the field of photonics at City University London, where he has served as Professor of Photonics in the Department of Electrical and Electronic Engineering since 2000. Previously, he was Reader in Photonics (1996-2000) and Lecturer (1988-1996) at the same institution. His academic journey began with a BEng (1971-1976) and MSc (1976-1979) from Bangladesh University of Engineering and Technology, followed by a PhD from University College London (1979-1982). His educational background laid the foundation for his extensive research career focusing on photonics, integrated waveguides, and optical sensors. Professor Rahman has made significant contributions to fields including plasmonic biosensors, fiber optic sensing technologies, supercontinuum generation, and metamaterial-based sensing systems. His research bridges theoretical modeling with practical applications in environmental monitoring, healthcare diagnostics, and engineering solutions. An analysis of his most recent publications (2022-2025) reveals a strong focus on advanced sensing technologies with applications across multiple domains. His work demonstrates expertise in combining photonics principles with nanotechnology, artificial intelligence, and novel materials to develop highly sensitive detection systems. Key research trends include the integration of deep learning with optical sensing, development of plasmonic-enhanced biosensors, and innovative waveguide designs for improved optical performance. Professor Rahman has maintained a highly productive research career with over 443 publications documented in his ORCID profile. His work shows extensive international collaboration with researchers from institutions in the UK, Bangladesh, Thailand, and other countries. While specific grant information is not provided in the available data, his sustained publication record across high-impact journals indicates successful research funding and supervision of numerous research projects over his career. His research group appears to focus on experimental photonics, computational modeling of optical systems, and development of novel sensing platforms.

Phu NguyenView profile

Adjunct Associate Professor

• Hydrology
• Geographic Information Systems (GIS)
• Satellite Precipitation Estimation
• +3 more

Phu Nguyen is an Associate Adjunct Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His academic background includes a Ph.D. in Civil Engineering from UC Irvine (2014), an M.S. in Engineering Science from the University of Melbourne (2008), and a B.Sc. in Civil Engineering from Bach Khoa University HCMC Vietnam (2003). Education Ph.D., University of California, Irvine, 2014 M.S., University of Melbourne, 2008 B.Sc., Bach Khoa University, 2003 Nguyen’s research focuses on flood modeling and forecasting, with a strong emphasis on satellite-based precipitation estimation. He has developed systems like CONNECT for analyzing large-scale rainfall systems, RainSphere for integrated satellite data tools, iRain for real-time rainfall observations, and DataPortal for on-demand data processing. His work leverages machine learning, GIS, and remote sensing technologies to improve hydrologic and disaster management applications. Recent publications highlight his integration of deep learning and satellite infrared/microwave data to enhance precipitation estimation accuracy. Key contributions include bias correction frameworks, tropical cyclone detection models, and evaluations of climate data records like PERSIANN-CCS-CDR. Nguyen is actively affiliated with the Center for Hydrometeorology & Remote Sensing (CHRS) at UC Irvine, where he contributes to advancing satellite precipitation methodologies and their hydroclimatic applications.