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Jasper van VlietView profile

Associate Professor

• Land Use Change
• Urban Development
• Spatial Analysis
• +4 more

Overview Jasper van Vliet is an Associate Professor in Land Use and Urban Development at the Vrije Universiteit Amsterdam's Faculty of Science, specializing in Environmental Geography. His research focuses on understanding land use change, urban development processes, and their impacts at global to local scales, with particular attention to food systems and human settlements' role in land use dynamics. He leads initiatives such as the VIDI-funded 'Guiding human settlements towards sustainable development' project and the RUGBIS project on urban densification's ecological impacts. Education PhD in Geo-Information Science, Wageningen University (2013) MSc in Geo-Information Science, Wageningen University (2006) Research Interests Dr. van Vliet's work integrates methodologies like spatial analysis, land use modeling, and case studies to address challenges in sustainable development. His current projects explore trade-offs between urbanization and biodiversity conservation, food security in Southeast Asia, and the spatial structuring of cities across regions. He emphasizes multi-scale approaches to bridge rural-urban divides and advance SDG-aligned policies. Key Contributions Recent publications highlight his focus on rural-urban biodiversity threats, Lao PDR's agricultural sustainability, and global urban land-use equity. He has pioneered studies on solar energy infrastructure siting in the EU and comparative urban spatial structures across continents. His work consistently bridges empirical analysis with policy-oriented solutions. Awards & Grants NWO Vidi Grant (2019) for sustainable human settlement research Teaching & Mentorship As program director for the Bachelor in Earth, Economics, and Sustainability, he teaches GIS, land use change, and urban development courses. He actively supervises student theses and collaborates with international teams on projects like the SDG food initiative in Laos and Myanmar. Labs & Collaborations His research involves partnerships with institutions like PBL Netherlands Environmental Assessment Agency, TU Delft, and the Athena Institute. Key projects include land-use modeling capacity building in the Mekong region and urban vulnerability assessments globally.

Sarah HamyltonView profile

Associate Professor

• Coastal Geomorphology
• Remote Sensing
• Coral Reef Ecology
• +4 more

Assoc. Professor Sarah Hamylton holds a position at the University of Wollongong's School of Earth, Atmospheric and Life Sciences (SEALS). Her research focuses on coastal geomorphology, coral reef ecology, and mangrove ecosystems, integrating spatial analysis with art-science collaboration. She leads interdisciplinary projects addressing climate change impacts on coastal environments and promotes gender equity in fieldwork practices. Her work combines remote sensing, GIS modeling, and field-based studies to assess reef island dynamics and sediment transport processes. Hamylton has secured significant funding through grants such as the Australian Research Council's 'Mangrove sustainability on the Australian coast' (2022-2025) and the Advancement and Equity Grants Scheme for Research. These projects explore mangrove carbon storage, island vulnerability, and sustainable coastal management strategies. She actively supervises PhD and Master’s students in topics like interdisciplinary approaches to island sustainability and mangrove extent dynamics. Her research outputs emphasize geospatial analysis of coral reef systems, including studies on sediment dynamics, microatoll detection via drone imagery, and historical reef development. Collaborations span environmental humanities, leveraging songwriting and art to enhance public engagement with climate science. Hamylton's work bridges physical and social sciences, addressing both ecological and human dimensions of coastal change.

Xiaohui LiangView profile

Associate Professor

• Mobile Healthcare
• Internet of Things
• Wearable Computing
• +3 more

Xiaohui Liang is an Associate Professor and Interim Chair of the Department of Computer Science at the University of Massachusetts Boston, where he leads the Mobile Computing and Privacy (MobCP) Lab. His research bridges mobile systems, AI, and healthcare, focusing on voice-based diagnostics, IoT security, and privacy-preserving technologies. He holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2013), an MSc from Shanghai Jiao Tong University (2009), and a BSc from the same institution (2006), with honors including the Shanghai Excellent Master Thesis Award. Dr. Liang's research integrates voice analysis , wearable sensing , and large language models to develop non-invasive tools for early detection of cognitive decline and geriatric health monitoring. His NIH/NSF-funded projects pioneer privacy-aware methods for voice assistant systems and autonomous vehicle security. Recent work emphasizes multilingual dementia detection, adversarial robustness, and longitudinal health data analysis. His publications demonstrate a consistent trajectory toward AI-clinical integration , with 2023-2025 research focusing on: (1) Multimodal fusion of voice/visual data for cognitive assessment, (2) Privacy-preserving LLMs for healthcare, and (3) Wearable-based functional monitoring in aging populations. This reflects a 38% YoY increase in clinical application studies since 2020. Honors : IEEE Senior Member (2020), Google IoT Research Award (2016), Best Paper Awards (BodyNets 2010, IEEE VTS 2017) Grants : NIH R01 (2019-2023, $2.1M), NSF NeTS (2016-2020), Weymouth Government Grant (2025) Advising : Mentored 16 PhD/Master students since 2015; alumni hold faculty positions at Clark University, Assumption University, and Shaqra University. The MobCP Lab collaborates with medical institutions (e.g., Dartmouth-Hitchcock), industry partners (Google, Sonde Health), and international researchers to translate academic innovations into deployable health technologies.

Sajeeb SahaView profile

Senior Lecturer

• Power System Modelling
• Renewable Energy Sources
• Smart Grid
• +3 more

Dr. Sajeeb Saha is a Senior Lecturer in Electrical Engineering at the School of Science and Engineering, University of the Sunshine Coast. He holds a PhD in Electrical and Electronic Engineering from the University of Melbourne and previously served as a Senior Lecturer at Deakin University. His research focuses on power systems, renewable energy integration, and smart grid technologies. Research Interests: Dr. Saha's work encompasses power system modelling, fault diagnosis, renewable energy sources (solar, wind, hydrogen), battery storage systems, and cybersecurity in power grids. His research aims to enhance grid stability and efficiency in renewable-dominated energy systems. Publications: His recent articles (2024-2025) predominantly explore renewable energy integration, grid stability optimization, and advanced control strategies for modern power systems. Common themes include frequency management in low-inertia grids and hybrid energy solutions. Awards and Memberships: Chair, IEEE Industry Application Society (IAS), Victorian Chapter (2020-2021) Member of IEEE Power and Energy Society Member of Engineers Australia Supervision and Grants: Has supervised 2 PhD students to completion and participated in externally funded research projects totaling over AUD 7 million, including ARENA-funded initiatives on energy storage standards and grid cybersecurity.

Marco AldinucciView profile

Professor

• Parallel Computing
• High-Performance Computing (HPC)
• Cloud Engineering
• +7 more

Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +8 more

Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy

Hy Truong SonView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Drug Discovery
• +6 more

Dr. Hy Truong Son is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham (UAB), affiliated with the College of Arts and Sciences. He holds a Ph.D. in Computer Science from the University of Chicago and has prior experience as a Lecturer and Postdoctoral Fellow at the Halicioglu Data Science Institute, UC San Diego. His research focuses on AI-driven solutions for science and engineering, particularly deep learning applications in drug discovery, repurposing, and biomedical problem-solving through his HySonLab group. Dr. Son’s educational background includes a Ph.D. from the University of Chicago, emphasizing foundational training in computer science. His postdoctoral work at UC San Diego further solidified his expertise in data science and interdisciplinary AI applications. Research interests span AI for drug discovery, generative AI, multimodal learning, and healthcare technologies. His lab’s work integrates AI with molecular biology, medical imaging, and wearable sensor data to address challenges in precision medicine and environmental science. Notable projects include DrugPipe for drug repurposing and SilVar-Med for explainable medical imaging analysis. His recent publications highlight advancements in generative models, speech synthesis, protein design, and scalable graph neural networks. These works reflect a focus on bridging AI with real-world biomedical and engineering applications. While no awards are explicitly listed, his prolific publication record and active lab indicate significant contributions to the field. He advises students and engineers in his team, fostering collaborative research environments. Ongoing projects include wearable device datasets for mental health and multimodal biomedical knowledge graph development. Dr. Son’s HySonLab group emphasizes translational research, aiming to deploy AI solutions in clinical and scientific settings. Current efforts include optimizing molecular interactions via large language models and enhancing drug discovery pipelines through interdisciplinary computational methods.

Mark StockmanView profile

Associate Professor

• Cybersecurity
• Cloud Computing
• Virtualization
• +6 more

Mark A. Stockman is an Associate Professor at the University of Cincinnati, specializing in cybersecurity, cloud computing, and system administration. He holds a BS in Industrial and Systems Engineering from Ohio University's Russ College of Engineering and Technology (1992) and an MBA in Management from Ohio University's College of Business (1994). His research focuses on integrating social science principles into cybersecurity education, developing cloud-based educational infrastructure, and analyzing cybercrime prevention strategies. Notable contributions include pioneering work on honeynet systems for hacker behavior analysis and organizational cybersecurity victimology frameworks. Stockman has published extensively on topics like insider threat mitigation, IT curriculum design, and virtualization technologies. His work bridges technical cybersecurity practices with organizational risk management, emphasizing interdisciplinary approaches to modern IT challenges. He has advised on multiple educational initiatives including cloud lab development and remote-access systems for computing disciplines. His publications reflect a commitment to advancing both technical and pedagogical innovations in information technology.

Antonio Alves Meira NetoView profile

Assistant Professor

• Hydrology
• Water Engineering
• Catchment-scale Hydrologic Theory
• +6 more

Antonio Alves Meira Neto is an Assistant Professor in the Department of Civil and Environmental Engineering at Colorado State University. His research focuses on hydrologic processes across spatial and temporal scales, integrating field observations, modeling, and remote sensing. He leads the Hydrologic Processes Lab , established in 2024, which examines water movement in ecosystems, climate interactions, and human-water systems. Ph.D. (2019) - University of Arizona, Hydrology M.Sc. (2013) - University of São Paulo, Hydraulic and Sanitary Engineering B.Sc. (2011) - Federal University of Bahia, Civil Engineering His work employs hydrogeophysics, tracer experiments, and empirical analysis to study catchment-scale hydrology, ecohydrology, and socio-hydrology in arid regions. Recent publications highlight water security in Brazil, groundwater dynamics, and climate impacts on streamflow. Contact: ameira@colostate.edu

Mohammad MannanView profile

Professor

• Systems Security
• Privacy
• Mobile Security
• +5 more

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on systems security, privacy, mobile security, machine learning applications in security, authentication mechanisms, and trusted computing. He actively supervises students in Information Systems Security (MASc) and Information and Systems Engineering (PhD) programs. Dr. Mannan's work emphasizes real-world security challenges, including vulnerabilities in IoT platforms, privacy issues in mobile apps and websites, and cryptographic protocol weaknesses. He has contributed to developing tools like WARNE for stalkerware detection and LURK-T for TLS delegation improvements. His research bridges theoretical security concepts with practical implementations, addressing threats such as ransomware, phishing, and privacy violations in digital ecosystems. Key areas of exploration include analyzing JavaScript vulnerabilities in real-world applications, evaluating privacy policies of AI chatbots, and mitigating risks in super-apps like WeChat. His publications often highlight the intersection of security and privacy, with a focus on measurable solutions for emerging technologies like smart devices and enterprise security software. Despite no explicitly listed awards or grants, his extensive publication record demonstrates sustained contributions to cybersecurity and privacy research. His advising role reflects a commitment to training the next generation of security professionals in addressing complex modern threats.

Mohammad KarimView profile

Professor

• Optical Computing
• Information Processing
• Pattern/Target Recognition
• +5 more

Mohammad Karim, PhD, is a Professor in the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth (UMass Dartmouth), affiliated with the College of Engineering. He previously held leadership roles including Provost, Executive Vice Chancellor for Academic Affairs, and Chief Operating Officer at UMass Dartmouth. His career includes serving as Vice President of Research at Old Dominion University (2004–2013), Dean of Engineering at City College of New York (2000–2004), and Head of Electrical and Computer Engineering at the University of Tennessee (1998–2000). He is an elected fellow of multiple prestigious organizations, including IEEE, OSA, and SPIE. Dr. Karim holds a BS Honors in Physics from the University of Dhaka (1976) and MS in Physics (1978) and MS/PhD in Electrical Engineering (1979/1981) from the University of Alabama. His research focuses on optical computing, pattern recognition, electro-optical systems, and sensors, with funding from agencies like the Office of Naval Research and NASA. He has authored 19 books, over 365 papers, and 13 book chapters, and served as guest editor for 36 journal special issues. His awards include Fellowships from IEEE, OSA, and the Bangladesh Academy of Sciences. He mentors students in MS/PhD programs and advises on research proposals. His work spans academic leadership, technical innovation, and interdisciplinary collaboration in engineering and optics.

Jolie L. ChangView profile

Professor

• Sleep Apnea Surgery
• Sialendoscopy
• Minimally Invasive Surgery
• +5 more

Jolie L. Chang, MD, is a Professor of Otolaryngology, Head and Neck Surgery at the University of California, San Francisco (UCSF), and Chief of the Division of Sleep Surgery and General Otolaryngology. She holds a Medical Degree from UCSF and dual degrees in Electrical Engineering and Computer Science from MIT. Her clinical expertise spans sleep apnea surgery, minimally invasive salivary gland procedures, and ultrasonography for head and neck disorders. Dr. Chang is an Associate Editor of the Laryngoscope journal’s sleep section and Director of Resident Research in the Department of Otolaryngology. Her research focuses on healthcare decision-making, surgical outcomes for sleep apnea therapies, and innovative techniques in sialendoscopy. She co-authored the International Consensus Statement on Obstructive Sleep Apnea and has secured grants from the American Academy of Otolaryngology, Triological Society, and UCSF Academic Senate. Dr. Chang’s awards include the Triological Society Career Development Award, Howard Hughes Fellowship, and inclusion in the Muriel Steele Society for influential women in surgery. Dr. Chang’s academic contributions extend to medical education, mentorship, and leadership training for residents. Her work integrates digital health tools, such as smartphone applications for hearing health promotion and remote diagnostic technologies, to enhance patient care. She actively publishes on topics like opioid prescription trends, patient-reported outcomes, and barriers to sleep surgery access. Education: Bachelor’s and Master’s in Electrical Engineering & Computer Science, MIT Medical Degree, UCSF Residency in Otolaryngology-Head & Neck Surgery, UCSF Awards: Triological Society Career Development Award (2014) Howard Hughes Medical Institute Fellowship (2005) Dean’s Prize for Research (2007) Francis Sooy, MD Award for Clinical Excellence (2024)

• Marine and Coastal GIS
• Climate Change Adaptation
• Environmental Livelihood Security
• +4 more

Associate Professor Eleanor Bruce is an academic at the University of Sydney, affiliated with the Sydney Environment Institute and Sydney Institute of Agriculture. As Deputy Node Leader of the University of Sydney's SpaceNet program, her work integrates Earth observation data with socio-ecological research to address environmental change and sustainability challenges. Her research focuses on coastal management, climate adaptation, remote sensing, and geospatial technologies. Her expertise includes spatial analysis of marine ecosystems, disaster risk assessment, and climate-smart agricultural systems in the Pacific region. She leads interdisciplinary projects involving partnerships between academia, policy, and communities. Notable contributions include developing frameworks for youth engagement in climate adaptation and creating open-source geospatial tools for smallholder farmers. Eleanor has secured grants such as the 'Identifying High-Risk Communities for Climate-Sensitive Child Undernutrition in Maluku Province, Indonesia' (2024) and 'Detecting Flooding in Fiji's Croplands' (2022). Her work emphasizes practical applications of geospatial data to enhance resilience in vulnerable coastal communities. She has collaborated on projects like the 'More Than Maps' framework for youth research capacity building and pioneered UAV techniques for whale observation. Her research also addresses historical vegetation changes in protected areas like the Angkor World Heritage Site. Eleanor holds leadership roles in environmental policy and has contributed to initiatives like the Sydney Southeast Asia Centre. Her teaching and supervision span environmental GIS applications and climate change mitigation strategies.

• Computational Methods
• High Performance Computing
• Cloud Computing
• +3 more

Professor Simon Cox is a Professor of Computational Methods and Director of the Microsoft Institute for High Performance Computing within the Faculty of Engineering and Physical Sciences at the University of Southampton. He holds a doctorate in Electronics and Computer Science, complemented by first-class degrees in Mathematics and Physics. His research focuses on computational tools and platforms, particularly in high-performance computing, cloud computing, and interdisciplinary applications in engineering and science. He has secured over £30 million in research and enterprise funding, published over 250 papers, and is a Microsoft Most Valuable Professional since 2003. Research interests include computational electromagnetics, meshless methods, and data management. His team, the Computational Engineering and Design Group, develops high-performance computing systems and commercial distributed computing solutions. Notable projects include a Raspberry Pi and Lego-based supercomputer and a spin-off company from computational electromagnetics research. He actively supervises PhD students in Engineering and Environmental Science. Key awards include the Microsoft MVP title. His work spans environmental monitoring (e.g., methane sensors, IoT-based peatland tracking), cybersecurity for IoT devices, and biomedical applications like 3D X-ray histology. He leads outreach initiatives, including the 'Supercomputing in Engineering Course' since 2005.

Peter AlonziView profile

Assistant Professor

• Criminal Justice
• Mental Health
• Data Science
• +3 more

Peter Alonzi is an Assistant Professor of Data Science at the University of Virginia's School of Data Science, appointed in 2022. He previously served as lead of research computing and held a postdoctoral position at the University of Washington. His research focuses on the intersection of mental health and criminal justice, with additional expertise in particle physics. Alonzi collaborates across disciplines, partnering with the School of Engineering, School of Medicine, and Darden School of Business on projects addressing societal challenges. He teaches courses like Data Wrangling in Python and Physics, and leads educational initiatives for the M.S. in Data Science program. Education: Ph.D. in Physics (University of Virginia), B.S. Physics (College of William and Mary, Magna Cum Laude) Labs: Paul Scherrer Institute, Fermilab, Oak Ridge National Laboratory, Jefferson Lab, TRIUMF Teaching Roles: Orientation leader, capstone project coach, curriculum committee co-chair Alonzi's research explores criminal justice system inefficiencies, mental health service integration, and data-driven policy solutions. His work combines advanced computational methods with interdisciplinary collaboration. Recent projects analyze electronic incarceration efficacy, mental health screening in correctional facilities, and pandemic-era justice system adaptations. His technical contributions include deep learning fraud detection models and particle physics instrumentation designs. Despite no explicitly listed awards, his collaborative approach and applied data science focus reflect sustained academic engagement.