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Nirwan AnsariView profile

Professor

• 6G Networks
• Wireless Charging
• Machine Learning
• +5 more

Nirwan Ansari is a Distinguished Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on cutting-edge advancements in 6G networks , wireless charging , machine learning , and Internet of Things (IoT) . He has contributed extensively to AI-driven network optimization and sustainable energy solutions for next-generation communication systems. Ph.D., Electrical Engineering, Purdue University (1988) M.S., Electrical Engineering, University of Michigan-Ann Arbor (1983) B.S., Electrical Engineering, NJIT (1982) His recent work explores AI-native network slicing , UAV-assisted edge computing , and holographic communication . Publications highlight synergies between terrestrial and non-terrestrial networks , digital twin integration, and energy-efficient IoT systems . He serves as an Honorary Chair and contributes to major conferences like IEEE INFOCOM and IWCMC.

Viktor Sowinski-MydlarzView profile

Lecturer

• Cyber Security
• Data Analytics
• Machine Learning
• +3 more

Dr. Viktor Sowinski-Mydlarz is a Lecturer in Computer Science and Applied Computing at the School of Computing and Digital Media, London Metropolitan University. He also serves as a post-doctoral researcher at the Cyber Security Research Centre. His research focuses on hybrid frameworks combining semantic and machine learning methods for data analysis, with recent projects involving cloud computing, bioinformatics (e.g., 3D modeling of Coronavirus variants), and cyber security threat intelligence. He teaches programming, software engineering, ethical hacking, computer networking, and cloud computing. His academic background includes a PhD in hybrid data processing frameworks. He has contributed to research funded by Lloyds Banking Group and Innovate UK, including Urban Data Space (air quality analysis) and Microsoft Azure Cluster (NHS prescription data statistics with Machine Learning). Dr. Sowinski-Mydlarz's work emphasizes software integration, containerization, and cloud-based data analytics orchestration. His publications span threat intelligence, cyber security policy validation, and AI-driven hybrid platforms.

Francesc Moll EchetoView profile

Associate Professor

• Energy Harvesting
• Integrated Circuit Design
• Low Power Electronics
• +5 more

Francesc Moll Echeto is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Enginyeria Electrònica and the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He leads the HIPICS research group focused on high-performance integrated circuits and systems design. His expertise spans energy harvesting, low-power electronics, process variability management, and secure circuit design. He coordinates the Doctorat en Enginyeria Electrònica program and has coordinated EU-funded projects like the European Processor Initiative (EPI). Education: M.S. in Physics, Universitat de les Illes Balears, 1991 Ph.D. in Electronic Engineering, Universitat Politècnica de Catalunya, 1995 Research Focus: His work addresses energy-efficient computing, including: - Design of circuits tolerant to manufacturing variability - Energy harvesting from mechanical and RF sources - Secure hardware countermeasures against side-channel attacks - RISC-V architecture implementations in advanced technologies - Edge computing and autonomous sensor systems Grants & Collaborations: Coordinator of R&D projects like 'ARQUITECTURA DE COMPUTADORES DE ALTAS PRESTACIONES' (PID2023-146511NB-I00) Part of the Barcelona Zettascale Lab consortium Collaborations with Barcelona Supercomputing Center and industry partners Awards: HiPEAC Paper Award (2023, 2024) for innovations in vector processing and DNN acceleration Labs/Teams: Leads the HIPICS group and the EFRICS subgroup, collaborating on EU-funded initiatives like the European Processor Initiative. Active in open-source silicon projects (e.g., Sargantana RISC-V processor).

Biswajit RayView profile

Associate Professor

• Electronic Devices
• Solid-State Storage Systems
• Hardware Security
• +3 more

Dr. Biswajit Ray is an Associate Professor in the Department of Electrical and Computer Engineering at Colorado State University (CSU) , joining in Fall 2023. Previously, he served as an Associate Professor at the University of Alabama in Huntsville (UAH) until 2023. Education : B. Tech. in Electrical and Electronics Engineering (2006), National Institute of Technology M.S. in Electronics Design and Technology (2008), Indian Institute of Science Ph.D. in Electrical and Computer Engineering (2013), Purdue University His research focuses on data storage devices , hardware security , and electronics for extreme environments . He aims to enhance the security , reliability , and energy-efficiency of solid-state storage systems, with applications in IoT sensor nodes and non-volatile memory technologies . Professional Achievements : Holds 20 U.S. patents in 3D NAND Flash memory and storage systems Published over 75 research papers in international journals and conferences Honors and Awards : NSF CAREER Award (2022) NSF EPSCoR Research Fellowship (2020) University Distinguished Research and Creative Achievement Award (2023) at UAH Before academia, he worked at SanDisk Corporation (now Western Digital) in Milpitas, California, developing 3D NAND Flash memory technology.

Russ Biagio AltmanView profile

Professor

• Biomedical Informatics
• Pharmacogenomics
• Computational Biology
• +7 more

Russ Biagio Altman is the Kenneth Fong Professor at Stanford University , with appointments in Bioengineering, Genetics, Medicine, Biomedical Data Science, and by courtesy, Computer Science. He serves as Senior Fellow at the Stanford Institute for Human-Centered AI and directs the Helix Research Group. Education: AB (summa cum laude) in Biochemistry and Molecular Biology from Harvard College (1983), PhD in Medical Information Sciences (1989), and MD in Medicine (1990) from Stanford University His research focuses on computational technologies in molecular biology and medicine , particularly pharmacogenomics, 3D structural analysis of biological molecules, and functional genomics using NLP and machine learning. Recent work includes AI-driven pharmacogenomic databases like PharmGKB , structural motif identification in proteins, and social media-based public health surveillance. Scientific awards include the U.S. Presidential Early Career Award , NSF CAREER Award , and fellowships in AAAS, AIMBE, and the National Academy of Medicine. He has received multiple teaching and mentorship awards and co-founded Personalis (NASDAQ: PSNL). His lab trains graduate and postdoctoral researchers across Biomedical Data Science , Genetics , and Bioengineering programs. Current projects include AI-guided CRISPR experiments, EHR integration for drug response prediction, and opioid epidemic monitoring via social media analytics.

Leow Wee KhengView profile

Associate Professor

• Medical Image Analysis
• Computer Vision
• 3D Modeling
• +5 more

Associate Professor Leow Wee Kheng is affiliated with the Department of Computer Science at the School of Computing, National University of Singapore . His career spans over three decades with expertise in medical image analysis , computer vision , and surgical simulation . Ph.D. in Computer Science, University of Texas at Austin (1994) M.Sc. in Computer Science, National University of Singapore (1989) B.Sc. in Computer Science, National University of Singapore (1985) His research focuses on medical image analysis for craniofacial surgery and stroke diagnosis, 3D modeling of anatomical structures, and computer vision techniques like robust PCA and texture analysis . Recent work includes knee joint motion modeling and forearm rotation simulation for clinical applications. Key trends in his 2017-2025 publications involve skull reconstruction algorithms , multi-objective optimization for digital media, subject-specific biomechanical modeling , and low-rank decomposition techniques in visual computing. Collaborations include institutions like Singapore General Hospital and National Taiwan University Hospital . Scientific Awards : CAIP 2017 Best Paper Award 2007 Andrew P. Sage Best Transactions Paper Award Faculty Teaching Excellence Award (AY2015/16) Annual Teaching Excellence Award (AY2015/16) He has mentored numerous students in medical imaging , computer vision , and biomedical modeling . Current and former advisees include Chen Ying , Vineta Lum Lai Fun , and Long Huizhong (Ph.D.).

• Digital Manufacturing
• Sustainability Engineering
• Additive Manufacturing
• +5 more

Professor Jonathan Corney holds the Chair of Digital Manufacture in the School of Engineering at the University of Edinburgh. His research focuses on advanced manufacturing technologies, including digital twin applications, smart factory optimization, sustainability engineering, and additive manufacturing. He leads projects addressing human factors in industrial environments, predictive analytics for production processes, and intellectual property challenges in modern manufacturing systems. His academic background encompasses mechanical engineering with specialization in CAD/CAM systems, hydroforming technology, and patent analysis for design innovation. Corney has pioneered methods like the Economic and Environmental Impact Assessment for Sustainability (EENIAS), and developed decision support frameworks for energy-efficient scheduling and garment reprocessing in circular economies. Key research themes include: Smart factory design through real-time worker movement analysis Cyber-physical systems for supply chain optimization Machine learning applications in manufacturing process control Human-centric automation and safety protocols His recent work emphasizes predictive modeling using spatio-temporal graph networks, digital twin integration in assembly processes, and sustainable manufacturing practices. Over 150 peer-reviewed articles demonstrate his contributions to near-net-shape manufacturing, intellectual property management, and crowdsourced design methodologies.

Daniel HarrisView profile

Senior Lecturer

• Climate Change Impacts
• Coastal Morphodynamics
• Coral Reef Geomorphology
• +3 more

Dr Daniel Harris is a Senior Lecturer in the Department of Geography at the School of the Environment, University of Queensland (UQ). His research focuses on coastal and coral reef morphodynamics, integrating physical processes like waves and tides with ecological and geological systems. Prior to UQ, he held positions at the University of Sydney and the Leibniz Center for Tropical Marine Ecology (ZMT). He leads The BeachLab, dedicated to developing tools for coastal resilience in a warming world. Research interests include coral reef structural complexity, coastal protection under climate change, and surf zone processes. His work combines field data, remote sensing (e.g., LiDAR, drones), and numerical modeling to address both fundamental and applied questions. Notable projects involve quantifying coral rubble mobility, analyzing Holocene reef evolution, and assessing shoreline change via satellite imagery. His expertise spans marine geoscience, physical oceanography, and environmental adaptation strategies. Publications emphasize coral reef dynamics, coastal geomorphology, and climate impacts. He collaborates with ecologists, geologists, and coastal engineers to advance interdisciplinary solutions. Teaching focuses on geography and marine science, reflecting his commitment to educating future researchers and practitioners. Key contributions include advancing methods for shoreline monitoring using Bayesian networks and Google Earth Engine. His research highlights the critical role of coral reefs in coastal protection, particularly under rising sea levels and extreme weather events. The BeachLab’s work bridges academic inquiry with practical management strategies for vulnerable coastal ecosystems.

• Crop Physiology
• Agricultural Technology
• Plant Stress Tolerance
• +4 more

Dr William Salter is a Lecturer in Crop Physiology at the University of Sydney's School of Life and Environmental Sciences, based at the Narrabri Plant Breeding Institute. His research focuses on enhancing crop productivity and resilience through innovations in plant physiology, phenotyping technologies, and open-source agricultural tools. He leads a research group developing low-cost sensors and data pipelines for measuring plant traits like light use efficiency, canopy architecture, and weed detection. Education: BSc (Edinburgh) and PhD (Sydney) Research interests include optimizing photosynthesis for food security, improving water/nutrient efficiency in crops, and adapting farming systems to climate change. His work prioritizes accessible, open-source solutions to democratize scientific tools. Recent grants include studies on wheat heat tolerance and drought resilience. He advises students like Edward David on crop stress physiology projects. Collaborations involve the Sydney Institute of Agriculture and international partners. Labs/Teams: Narrabri Plant Breeding Institute research group, International Centre of Crop and Digital Agriculture team.

Javier IrizarryView profile

Professor

• Unmanned Aerial Systems (Drones) in Construction
• Construction 4.0
• Reality Capture Technology
• +3 more

Javier Irizarry is a Professor and Interim Chair in the School of Building Construction at Georgia Tech's College of Design. He also serves as Associate Dean for Academic Affairs and Outreach , overseeing academic programs, diversity initiatives, and recruitment efforts. As Director of the CONECTech Lab, he pioneers research in Construction 4.0 and UAV applications for infrastructure challenges. Education : Ph.D. (Civil Engineering), Purdue University Masters in Engineering Management, Polytechnic University of Puerto Rico B.S. (Civil Engineering), University of Puerto Rico, Mayagüez Research Focus : Irizarry’s work integrates cutting-edge technologies into construction, including Unmanned Aerial Systems (UAS), Reality Capture, Virtual/Augmented Reality, and Human Factors in Robotics. His lab develops frameworks for Construction 4.0 , emphasizing technology-driven solutions for safety and efficiency. Lab & Impact : The CONECTech Lab focuses on Construction 4.0 , advancing drone-based inspection systems, digital twins, and safety analytics. His research has led to over 100 publications, with applications in infrastructure monitoring, safety management, and educational tools. Leadership : As Associate Dean, Irizarry drives academic innovation and outreach, including pre-college programs and diversity strategies. He is a licensed Professional Engineer (PE) and FAA-licensed drone pilot, bridging academia and industry.

Andrew MaidenView profile

Professor

• Computational Optics
• Ptychography
• Coherent Diffractive Imaging
• +5 more

Professor Andrew Maiden is a faculty member at the University of Sheffield's School of Electrical and Electronic Engineering, specializing in Computational Imaging. He leads the Semiconductor Materials and Devices Research Group. His research focuses on advancing optical systems through computational methods like ptychography, which enhances microscopy and imaging precision. With a PhD from Durham University (2005) and an MEng from the University of Birmingham (2001), Maiden's career includes pioneering work with Professor John Rodenburg on ptychography and a brief industry stint commercializing microscopy technologies. He teaches Digital Signal Processing (DSP) to third-year students and advises researchers such as Cao S (PhD graduate). Research interests include Coherent Diffractive Imaging (CDI), electron microscopy phase imaging, and inverse problem solutions. His work bridges computational algorithms with practical applications in optics and materials science. Maiden has contributed to over 50 peer-reviewed publications and holds patents on ptychography-related imaging techniques. His lab focuses on developing high-resolution imaging tools without traditional lenses, emphasizing low-dose radiation and high-throughput bio-imaging. Teaching and mentorship play key roles in his academic contributions, shaping future engineers in signal processing and computational methods. Collaborations span academia and industry, reflecting his dual focus on innovation and real-world application.

Frank MaurerView profile

Professor

• Extended Reality (XR)
• Immersive Analytics
• Human-Computer Interaction (HCI)
• +7 more

Dr. Frank Maurer is a Professor in the Department of Computer Science at the University of Calgary, specializing in Extended Reality (XR) and Immersive Analytics. His work focuses on serious applications of XR in healthcare, energy, and engineering sectors. He leads the SEER Group, advancing cross-reality prototyping tools and digital twin technologies. Maurer holds a Diplom and a Dr. rer. nat. in Computer Science from the University of Kaiserslautern (1989 and 1993). Research areas include XR prototyping , immersive analytics , UX design for 5G-XR , and healthcare applications like pre-surgical epilepsy evaluations. He collaborates on strategic initiatives such as Brain/Mental Health and Energy Innovations. Recent work explores hydrogen pipeline monitoring, seismic data analysis (Siera tool), and generative AI integration in XR. Publications emphasize technical challenges in 3D medical imaging, reservoir engineering workflows, and cross-reality application testing. Maurer teaches Research Methods in Computer Science and has pioneered tools like NiwViw (immersive analytics authoring) and SpyREST (API documentation). His lab develops solutions for multi-surface environments and emergency response systems.

Sabin TabircaView profile

Senior Lecturer

• Artificial Intelligence
• Data Analytics
• Algorithmics
• +6 more

Dr. Sabin Tabirca is a Senior Lecturer at the School of Computer Science and Information Technology, University College Cork (UCC). He holds a BSc from Bucharest University and a PhD from Brunel University. His research focuses on Artificial Intelligence, Data Analytics, Algorithmics, Interactive Media, and HCI, with applications in computational cancer modeling, mobile health (mHealth), and parallel computing. He coordinates MPT Activities and is affiliated with the CRR Group and BCRI Centre. Notable awards include UCC's President Award for Innovation in Teaching (2007), IT@Cork Leader Award (2008), and UCC Staff Recognition Award (2013). His teaching includes modules like Parallel and Grid Computing, Mobile Application Design, and Graphics for Interactive Media. Dr. Tabirca has supervised over 70 MSc students and numerous PhD candidates, many of whom now hold academic and industry roles globally. His research includes developing mHealth apps for cystic fibrosis patients, 3D cancer visualization tools, and frameworks for mobile parallel computing. Publications span mHealth design pipelines, cancer prediction models, and mobile gaming for health education. He actively engages in interdisciplinary projects, blending computer science with medical and biological applications.

Milica OrlandicView profile

Associate Professor

• Hyperspectral Imaging
• Remote Sensing
• Digital Design
• +7 more

Milica Orlandic is an Associate Professor in the Department of Electronic Systems at NTNU. She holds an MSc from the University of Montenegro (2009) and a PhD from NTNU (2015). Her research focuses on hyperspectral imaging, remote sensing, FPGA-based systems, and embedded computing for aerospace applications. She is actively involved in the HYPSO CubeSat mission, developing onboard processing systems for Earth observation. Education: MSc in Electrical Engineering, University of Montenegro (2009) PhD in Electronics, NTNU (2015) Research Interests: Her work spans hyperspectral data processing , including compression, anomaly detection, and onboard computing for satellites. She also explores reconfigurable hardware (FPGAs) for real-time signal processing, cyber-physical systems, and spaceborne sensor systems. Publications Trends: Recent work emphasizes lightweight machine learning for anomaly detection, FPGA acceleration of hyperspectral compression (CCSDS 123), and algorithm co-design for CubeSat missions. Key contributions include robust onboard processing frameworks for HYPSO-1 and adaptive hardware-software systems. Advising & Teams: She supervises a dynamic team of over 40 PhD and MSc students working on FPGA implementations, satellite systems, and hyperspectral algorithms. Notable collaborations include the HYPSO CubeSat project, which aims to deliver high-resolution Earth observation data with low latency. Labs & Infrastructure: Her research leverages NTNU’s facilities for embedded systems prototyping, FPGA development, and CubeSat payload testing. The HYPSO mission integrates her team’s hardware-software co-design innovations for space applications.

• Additive Manufacturing
• Design Research Methodology
• Product Design Education
• +5 more

Violeta Catarina Marques Clemente is an Associate Professor at the University of Aveiro, affiliated with the Superior School of Design, Management and Production Technologies of Aveiro-Norte. She holds multiple roles, including member of the School Council, Management Committee for Higher Professional Technical Courses, and leadership in research groups such as CTESP (Direction in Mold Design and Mechatronic/Production Systems) and Cet DM (Electrical Installations and Industrial Automation). Her research focuses on design methodologies, additive manufacturing, sustainable materials, and educational innovation in design and technology. She is actively involved in research projects like NANO-SIM 3D (metal/plastic composites), CULTU-RURAL (cultural heritage and creative tourism), and Manufatura Aditiva com cortiça (cork-based additive manufacturing). Her work bridges academic research with practical applications in industry and education. Her publications emphasize educational tools for design research, digital storytelling, and innovative manufacturing techniques. She has supervised several theses on topics ranging from computational design tools to smart sports protection systems. Research Affiliations: Instituto de Investigação em Design, Media e Cultura (2020–2024) Key Projects: NANO-SIM 3D (2018–2022), CULTU-RURAL (2024–2028)