جست‌وجوی استاد و پژوهشگر

Erwei Xiangمشاهده پروفایل

دانشیار

• Capital markets research
• Sustainability and social responsibility accounting
• Corporate finance
• +۲ مورد دیگر

Dr. Erwei (David) Xiang is a Senior Lecturer (Associate Professor) in Accounting at Newcastle University Business School, where he has been employed since 2022. Previously, he served as a Lecturer in Accounting at Edith Cowan University in Australia from 2015 to 2021. His academic career spans multiple institutions across the UK, Australia, and China, demonstrating international experience in accounting and finance education and research. Dr. Xiang's primary research interests include: Capital markets research Sustainability and social responsibility accounting Corporate finance Corporate governance R&D investment & innovation His scholarly work has been published in prestigious journals including Journal of Economic Behaviour & Organization, Energy Economics, International Review of Financial Analysis, Business Strategy and the Environment, and Journal of Cleaner Production. Dr. Xiang has established an extensive research track record with internationally excellent publications that have been recognized as top-cited papers and have won best-paper awards. His research demonstrates a consistent focus on the intersection of corporate governance, sustainability, and financial performance, with particular attention to emerging markets and Chinese business contexts. Dr. Xiang has secured more than a dozen competitive research grants totaling over £280K, including a UKRI-NERC grant. He has led research clusters, built interdisciplinary and international teams, and initiated research impact cases targeting REF2029. His research has practical implications for business practice and policy, as evidenced by his media publications at The Conversation on topics including corporate biodiversity disclosures, interest rate impacts on businesses, and corporate social responsibility in banking. As an educator, he has accumulated substantial teaching experience across undergraduate, postgraduate, MBA, and PhD levels, teaching courses such as Financial Accounting, Corporate Governance and Ethics, Accounting for Analysts, and Topics in Accounting. He has successfully supervised PhD students from enrollment to completion and is committed to developing research-led and employability-embedded teaching approaches. Dr. Xiang serves as the Ethics Convenor at Newcastle University Business School and has held editorial and reviewing roles for numerous academic journals, including serving as an Associate Editor for Business Ethics, the Environment & Responsibility. His professional service extends to external leadership roles through director, council member, or committee member positions in various academic associations domestically and internationally.

Olga Kurasovaمشاهده پروفایل

استاد

• Machine Learning
• Data Visualization
• Cybersecurity
• +۳ مورد دیگر

Dr. Olga Kurasova is a Professor and Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, where she leads research in the Cognitive Computing Group. Her work focuses on developing advanced computational methods for real-world applications. Her primary research explores machine learning paradigms including deep learning for cybersecurity (keystroke dynamics, adversarial attacks), medical image analysis (pancreatic cancer detection), industrial monitoring, and explainable AI. She maintains strong collaborations across disciplines, particularly in healthcare and security domains. Analysis of her recent publications (2023-2025) reveals three dominant themes: (1) Advanced biometric authentication systems using behavioral analysis and deep learning, (2) Medical AI applications focusing on pancreatic cancer detection through CT image analysis, and (3) Theoretical advancements in explainable AI methodologies for high-stakes domains. Significant scientific recognition includes: 2021 Lithuanian Science Prize for the cycle 'From Data Science to Artificial Intelligence Technologies' 2024 Vilnius University Rector's Science Prize She has led multiple national research projects, including a 2024-2027 LMT-funded initiative on 'adversarial machine learning for cybersecurity' and coordinated interdisciplinary teams for projects on cognitive computing capabilities and optimal data mining solutions. She directs research within the Cognitive Computing Group, focusing on developing intelligent systems for data analysis, visualization, and decision support across healthcare, cybersecurity, and industrial applications.

Brandon Chalifouxمشاهده پروفایل

استادیار

• Stress-based surface shaping
• Precision engineering
• Ultrafast laser optical material processing
• +۳ مورد دیگر

Brandon Chalifoux serves as an Assistant Professor at The University of Arizona's Wyant College of Optical Sciences and Department of Aerospace and Mechanical Engineering. His research focuses on enabling next-generation space telescopes through precision fabrication, mounting, and alignment of lightweight optical mirrors, with applications spanning astronomy, Earth observation, and space infrastructure development. His educational background includes: Ph.D. in Optical Sciences, Massachusetts Institute of Technology, 2019 M.S. in Optical Sciences, Massachusetts Institute of Technology, 2014 B.S. in Physics, Rice University, 2008 Chalifoux's research centers on stress-based surface shaping, precision engineering, ultrafast laser optical material processing, and astronomical optics. Through the Lightweight Optics Lab, he develops experimental and analytical techniques for manufacturing and aligning thin mirrors, with current projects targeting X-ray mirror metrology, laser stress figuring, and optical assembly methods critical for future high-resolution space telescopes. His recent publications (2023-2025) demonstrate concentrated advancements in ultrafast laser stress figuring (ULSF) for optical surface correction across thin mirrors and X-ray telescope optics. Key themes include material behavior analysis in fused silica and glass, stress generation mechanisms, and novel metrology techniques like axial shift mapping, establishing foundational methodologies for space-based optical systems. Scientific Awards: No awards mentioned in source material Chalifoux has successfully advised graduate students including Dr. Hayden Wisniewski (PhD, 2023), now a metrology engineer at ASML, and Alex St. Peter (Masters, 2023). His lab secures research funding for optical engineering projects with emphasis on space telescope technology, featuring significant collaborations with MIT on stress tensor mesostructures and laser-based figuring techniques. The Lightweight Optics Lab operates at the forefront of space optics research, conducting projects from fundamental laser-material interactions to X-ray mirror segment assembly. Current team efforts focus on ultrafast laser stress figuring for mirror correction and advanced metrology for near-cylindrical surfaces, directly addressing challenges in next-generation astronomical instrumentation and space infrastructure.

• Ambient Intelligence
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Paulo Jorge Freitas de Oliveira Novais is a Full Professor of Computer Science at the Department of Informatics, School of Engineering, Universidade do Minho, where he also holds a Habilitation in Computer Science. He leads the Synthetic Intelligence Lab at ALGORITMI Centre and coordinates the research line on Ambient Intelligence for Well-Being and Health Applications. His research spans Intelligent Systems, Machine Learning, Multi-Agent Systems, and their applications in Smart Cities, Health Informatics, and AI Ethics. PhD in Computer Science, Universidade do Minho, 2003 Habilitation in Computer Science, Universidade do Minho, 2011 Research interests include Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution, and Explainable AI. His work focuses on enhancing system intelligence and reliability through novel architectures and ethical frameworks. Recent publications highlight applications in wastewater energy prediction, violence detection, student risk modeling, and urban logistics. Awards include multiple Best Paper and IBM Excellence recognitions across 2015–2023, plus a 2022 Career Recognition Award from the Ibero-American Society of Artificial Intelligence. Senior IEEE Member Chair of IEEE Computational Intelligence Chapter, Portugal IFIP TC 12 Artificial Intelligence Working Group Leadership He has supervised 132 PhD and Master’s students and contributed to editorial boards of journals like JAISE and ComSIS . His leadership roles include coordinating LASI – Intelligent Systems Associate Laboratory and serving as former president of APPIA.

• Data Science and Data Analytics
• Machine Learning
• Recommender Systems
• +۷ مورد دیگر

Guandong Xu is a Professor in the School of Computer Science at the University of Technology Sydney (UTS), where he has been employed since 2012. He also serves as the Director of the UTS-Providence Smart Future Research Centre, which focuses on disruptive technology for sustainability, and leads the Data Science and Machine Intelligence Lab dedicated to research excellence and industry innovation in data science and artificial intelligence. Dr. Xu holds a PhD in Computer Science from Victoria University, Australia, along with MSc and BSc degrees in Computer Science and Engineering. After holding various research positions at European and Australian universities, he joined UTS in 2012 and was promoted to Associate Professor in January 2017, then to Professor in January 2019. His research spans data mining, machine learning, social computing, recommender systems, text mining, predictive analytics, and user behavior modeling. He has published over 240 papers in these areas with increasing citations from academia. His recent work demonstrates a strong focus on integrating large language models with recommendation systems, causal inference in recommendation, multimodal learning, and fairness in AI systems. His publications reveal sophisticated graph-based approaches and addressing challenges in dynamic recommendation scenarios, particularly through temporal modeling and hypergraph structures. Dr. Xu has received numerous prestigious awards including the Digital Disruptors Winner for ICT Research Project of the Year (2021), eBay's Leaders' Choice Award (2021), and was elected Fellow of Institution of Engineering and Technology (IET), UK (2021) and Fellow of Australian Computer Society (ACS) (2022). He has shown strong academic leadership as founding Editor-in-Chief of Human-centric Intelligent Systems Journal, Assistant Editor-in-Chief of World Wide Web Journal, and founding Steering Committee Chair of the International Conference of Behavioural and Social Computing Conference. He has supervised over 25 high degree research students and secured over $8 million in research funding from ARC, government, and industry sources, including projects like 'Smart Personalized Privacy Preserved Information Sharing in Social Networks' and 'A Secured Smart Sensing and Industry Analytics Facility for Industry 4.0.' Dr. Xu directs the Data Science and Machine Intelligence Lab at UTS, which aligns with UTS research priority areas in data science and artificial intelligence. The lab focuses on research excellence and industry innovation across academia and industry, with particular emphasis on developing advanced techniques for recommendation systems, knowledge graphs, and multimodal learning applications.

• Software Engineering
• Information Security
• Computer Systems
• +۵ مورد دیگر

Hironori Washizaki is a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Information and Computer Science, and serves as Director of the Global Software Engineering Laboratory. He also holds a visiting professorship at the National Institute of Informatics and serves as outside director at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., Ltd. With a Doctorate in Information and Computer Science from Waseda University (2003), he has established himself as a leading researcher with 384 publications and an h-index of 36 according to Google Scholar. His research spans multiple domains including software engineering methodologies, security patterns, programming education, and the application of machine learning to software development. His work has significantly contributed to the fields of software patterns, quality assurance, and educational tools for programming. With over 20 years of academic experience, his career progressed from Research Associate (2002-2004) to Assistant Professor (2004-2008), Associate Professor (2008-2016), and Professor (2016-present). Washizaki's recent publications demonstrate a strong focus on applying AI and machine learning techniques to software engineering challenges, including prompt engineering patterns, program repair methods, and vulnerability assessment. His work bridges theoretical research with practical applications in both educational and industrial contexts, particularly in B2B software development and programming education for diverse age groups. KDDI Foundation Award (2022) Spirit of the Computer Society Award (2022) Distinguished Contributor, IEEE Computer Society (2022) IEEE Computer Society Golden Core Member (2022) Fellow, International Academy, Research, and Industry Association (2022) Computer Research Contribution Award, APSCIT (2016) Washizaki has served as chair of the IEEE CS Japan Chapter and SEMAT Japan Chapter, director of ACM-ICPC 2014 Asia Regional Tokyo Contest, and Convenor of ISO/IEC/JTC1/SC7/WG20. His editorial work includes positions at IEICE Transactions on Information and Systems and International Journal of Software Engineering and Knowledge Engineering. His leadership extends to programming education initiatives like SamurAI Coding, demonstrating his commitment to developing the next generation of software engineers.

Ben Findlayمشاهده پروفایل

مدرس ارشد

• Digital Forensics
• Mobile Forensic Investigations
• Cloud Forensics
• +۴ مورد دیگر

Ben Findlay serves as Senior Lecturer in Computer & Digital Forensics within the Department of Computing and Games at Teesside University, where he leads the BSc (Hons) Computer and Digital Forensics and MSc Digital Forensics and Cyber Investigation programmes. His prior career as a Digital Forensic Investigator with North Yorkshire Police involved high-profile cases including murder, child abuse, and cybercrime, providing real-world context to his academic work. He earned both his BSc (Hons) in Applied Science and Forensic Investigation and MSc in Digital Forensics from Teesside University. His research program focuses on forensic artefacts, mobile and cloud investigations, and child protection, with particular expertise in Linux systems, embedded devices, and digital policing methodologies. Analysis of his recent publications reveals a consistent trajectory toward solving practical forensic challenges in under-resourced environments, with significant contributions to Linux forensics (including thumbnail analysis and encryption access), embedded device acquisition, and standard operating procedures for law enforcement. His work bridges academic research and police practice through active consultancy and professional scheme assessments. Fellow of Higher Education Academy Member of Chartered Institute for IT (BCS) Member of Chartered Institute of Information Security (CIISec) Assessor for College of Policing's ICDIP scheme Member of Chartered Society of Forensic Sciences (CSFS) Ben supervises postgraduate research in digital forensics areas and organizes the student-led Teesside Digital Forensics Conference (TDFCon), demonstrating commitment to developing the next generation of forensic practitioners through hands-on learning experiences.

Melanie Wilkeمشاهده پروفایل

استاد

• Cognitive Neurology
• Neural Mechanisms of Perception
• Visual Consciousness
• +۱۲ مورد دیگر

Professor Melanie Wilke is a leading figure in cognitive neurology at the University Medical Center Göttingen, where she serves as Director of the Department of Cognitive Neurology and Head of the MR Research Unit. She is also a Co-Investigator in the 'Decision and Awareness' group at the German Primate Center. Her work bridges human and non-human primate neuroscience to investigate the neural basis of perception, awareness, and movement planning. Her research focuses on understanding how distributed neural activity supports spatial awareness and decision-making. Key areas include thalamocortical interactions, neural mechanisms of spatial neglect, and translational models of cognitive disorders. She employs multimodal methods such as fMRI, electrophysiology, brain stimulation (tACS, tDCS, TMS), and inactivation techniques in both human and monkey models. Analysis of her recent publications reveals a strong emphasis on visual consciousness, neural connectivity, and sensorimotor integration. Her work frequently explores the role of the pulvinar and parietal cortex in attention and awareness, using innovative paradigms including no-report tasks and microstimulation. There is a clear translational trajectory from basic mechanisms to clinical applications in stroke and Parkinson’s disease. Fellows Award for Excellence in Biomedical Research, National Institutes of Health, USA (2008) Prof. Wilke leads a dynamic research group and mentors students within several graduate programs, including Systems Neuroscience and the International Max Planck Research School (IMPRS). Her team conducts cutting-edge research using advanced imaging and stimulation techniques. She has secured long-term support through the Herman and Lilly Schilling Foundation Professorship (2011–2022) and continues to lead major projects in cognitive neurology and brain network dynamics. Her laboratory, embedded in the Heart & Brain Center Göttingen, fosters interdisciplinary collaboration and focuses on developing novel therapeutic interventions for cognitive deficits following brain injury. The MR Research Unit under her leadership is central to advancing non-invasive brain imaging and stimulation in both research and clinical contexts.

• Social reactions to extractive industries
• Socio-environmental conflicts
• Environmental Justice
• +۹ مورد دیگر

Marta Conde is a Long Term Researcher at the Institute of Earth Sciences Jaume Almera (GEO3BCN), Spanish National Research Council (CSIC), and holds a Ramón y Cajal fellowship (2024). Her research addresses socio-environmental conflicts, environmental justice, and science-activism dynamics, with critical focus on extractive industries, deep sea mining governance, and post-growth transitions. Her educational background: PhD in Environmental Science, Institute for Environmental Science and Technology (ICTA), Autonomous University of Barcelona (2015) Master in Interdisciplinary Studies in Environmental, Economic and Social Sustainability, ICTA, UAB (2009) Postgraduate in Environmental Science, Birkbeck College, University of London (2001) Graduate in Agricultural Engineering, Universitat Politècnica de Catalunya, Barcelona (2000) Conde's research integrates Science and Technology Studies (STS) with political ecology to examine knowledge co-production in environmental conflicts. Her work spans extractive industry impacts, deep sea mining governance, urban gentrification, and degrowth theory, emphasizing community-led solutions for environmental justice and just transitions. This interdisciplinary approach bridges academic research with activist movements to challenge conventional sustainability paradigms. Her major recognitions include: Ramón y Cajal fellowship (2024) - Spain's premier research talent program I3 certification (2022) - National excellence in research leadership Marie Sklodowska Curie fellowship for Governing Resource Urbanisation (2021) Co-PI for Recercaixa project 'Activism Mobilising Science' (2018) Conde has secured competitive funding across international institutions: Marie Sklodowska fellowships at University of Queensland (2023) and ICTA-UAB (2025), EU project coordination for NATURVATION and B-MINCOME (2018), and Recercaixa project leadership at Pompeu Fabra University/John Hopkins (2020). Her Durham University affiliation (2016) established her early research trajectory in critical geography. Embedded in global research networks, she collaborates with the Centre for Social Responsibility in Mining and EU environmental governance initiatives, driving transdisciplinary work that connects academic rigor with frontline environmental justice movements through sustained knowledge co-production practices.

• Data Integration
• Data Quality
• Recommender Systems
• +۵ مورد دیگر

Assoc Prof Henry Nguyen is an Associate Professor at Griffith University's School of Information and Communication Technology, with expertise in data integration, data quality, recommender systems, and big data visualization. He directs the Responsible Big Data Lab and has secured over $3.5M in funding since 2015 from ARC, DFAT, and industry partners. PhD & Master's from EPFL, Switzerland ARC DECRA Award (2020) His research focuses on privacy-preserving AI for social data , IoT , and satellite analytics , with over 200 publications in top venues like SIGMOD, KDD, and IEEE TKDE. Recent work spans federated learning , graph neural networks , and secure AI systems . Article trends highlight 2024-2025 publications on: Federated recommendation security On-device AI optimization Privacy-preserving explainable AI Graph condensation techniques LLM-powered risk analysis Cloud-edge collaboration Scientific contributions include ARC DECRA Award 2020 Multiple senior PC roles in A* conferences Citations in International AI Safety Report 2025 Henry Nguyen supervises 12 active PhD/MSc students and has directed 8 completed doctoral theses . His funded projects include collaborations with Ubitech , KARI , and CSIRO , focusing on Australia-Korea partnerships and responsible AI development.

Nele Mentensمشاهده پروفایل

استاد

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +۱۲ مورد دیگر

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

Alan Mantoothمشاهده پروفایل

استاد

• Analog and Mixed-Signal IC Design
• Power Electronics
• Semiconductor Device Modeling
• +۳ مورد دیگر

Alan Mantooth is a Distinguished Professor holding the Twenty-First Century Research Leadership Chair in Engineering within the Department of Electrical Engineering at the University of Arkansas, Fayetteville. He serves as Director of the National Center for Reliable Electric Power Transmission (NCREPT), Executive Director for GRAPES (NSF I/UCRC) and SEEDS (DoE Center), and Deputy Director of the NSF Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS). His educational background includes: B.S. in Electrical Engineering, University of Arkansas M.S. in Electrical Engineering, University of Arkansas Ph.D. in Electrical Engineering, Georgia Institute of Technology Dr. Mantooth's research centers on analog/mixed-signal IC design, power electronics CAD, and semiconductor device modeling with emphasis on harsh-environment applications. His pioneering work in silicon carbide (SiC) and gallium nitride (GaN) power systems has enabled high-temperature operation for electric vehicles and renewable energy infrastructure, significantly advancing reliability in extreme conditions. His 2025 publications reveal strong trends toward AI-driven power electronics (e.g., SolarFormer++ for PV profiling), wide-bandgap device modeling (β-Ga2O3, SiC), and innovative packaging solutions. Key themes include reliability engineering for extreme environments, multi-physics optimization, and explainable AI for safety-critical power systems. Major scientific recognition includes: IEEE Fellow (2009) for power electronic device modeling Three R&D 100 Awards (2009, 2014, 2016) for SiC power modules IEEE Power Electronics Society Technical Achievement Award (2019) Multiple university teaching/research awards including SEC Faculty Achievement Award (2015) As an exceptional mentor (UA Outstanding Mentor 2006-2008), he co-founded Lynguent and Ozark Integrated Circuits. His centers NCREPT, GRAPES, and SEEDS have secured major funding from NSF, DoE, and industry partners, supporting over 350 refereed publications and numerous patents. Current research focuses on AI-enhanced power electronics, recyclable packaging, and next-generation wide-bandgap device characterization. He leads the NCREPT test facility and multi-institutional teams developing grid-connected power electronic systems, secure energy delivery architectures, and thermal management solutions for high-power-density applications, with direct impact on electric transportation and renewable energy integration.

Steven DenBaarsمشاهده پروفایل

استاد

• Semiconductor Technology
• Materials Science
• Photonics
• +۴ مورد دیگر

Steven DenBaars is a Professor of Materials and Electrical & Computer Engineering at the University of California, Santa Barbara (UCSB), where he holds the Mitsubishi Chemical Chair in Solid State Lighting and Displays. He serves as Director of the Institute for Energy Efficiency and Executive Director of the Solid State Lighting and Energy Electronics Center (SSLEEC). PhD, Electrical Engineering, University of Southern California BS, Materials and Metallurgical Engineering, University of Arizona MS, Materials Science, University of Southern California His research revolves around the growth and application of wide-bandgap (GaN-based) semiconductors for blue LEDs, laser diodes, high-power electronics, and quantum technologies. Key areas include MOCVD of III-V compound materials, strain engineering, and device fabrication. Recent publications highlight advancements in GaN-based microLEDs for quantum random number generation, UV LED efficiency, laser diode design, and strain relaxation techniques. Subfields span tunnel junctions, V-defect engineering, and metasurface light-emitting structures. 2021 ISCS Quantum Devices Award 2010 IEEE Photonics Society Aron Kressel Award 2008 JSAP Outstanding Paper Award 2005 IEEE Fellow 2014 National Academy of Inventors Fellow 2021 Central Coast Innovation Award Member, U.S. National Academy of Engineering He has co-founded four compound semiconductor companies (Nitres, Soraa, SLD Laser, Akoustis) and holds over 150 U.S. patents. His research group at UCSB includes 11 graduate students and postdocs focusing on III-nitride materials for optoelectronics and quantum applications. DenBaars leads the SSLEEC, a multidisciplinary lab advancing solid-state lighting and energy-efficient electronics through semiconductor innovation.

Kevin Meehanمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Location Tracking
• +۳ مورد دیگر

Kevin Meehan is Lecturer in Computing at ATU, Principal Investigator at Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), and Principal Investigator at Wireless Sensor Applied Research (WiSAR). His research explores computer vision, machine learning, and intelligent systems. Research focuses on: Deep learning approaches for computer vision Graph neural networks for biological applications Context-aware computing systems Pedestrian trajectory prediction Immune response classification His recent publications develop novel machine learning architectures for motion prediction and biological network analysis. He has secured over €400,000 in research funding and collaborated with 45+ SMEs on technology projects.

• VLSI CAD
• Low-power IC Design
• Mixed-signal IC Design
• +۵ مورد دیگر

Riadul Islam serves as an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), maintaining his primary office in room 316 of the Information Technology and Engineering (ITE) Building. His academic appointment focuses on hardware design and verification within the institution's engineering framework. His educational qualifications include: Ph.D. in Computer Engineering from UCSC (2017) M.A.Sc. in Electrical and Computer Engineering from Concordia University, Montreal (2011) B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2007) Professor Islam's research centers on VLSI CAD tools and low-power digital/mixed-signal IC design , with significant contributions to current-mode clock networks, vehicular security systems, and error-robust circuit architectures. His work increasingly integrates machine learning for design automation while exploring neuromorphic computing applications and secure hardware implementations. This multidisciplinary approach bridges traditional IC design with modern AI-driven optimization techniques. Analysis of his 2023-2025 publications reveals three dominant research thrusts: (1) Machine learning applications in early-stage Design Rule Checking (DRC) prediction and clock network optimization, (2) Graph-based intrusion detection systems for automotive networks (particularly CAN bus security), and (3) Event-based vision systems and neuromorphic computing architectures. These areas demonstrate consistent innovation in merging hardware design with AI/ML methodologies for enhanced system reliability and efficiency. He directs the UMBC VLSI and SoC Research Group , which develops energy-efficient clocking networks, secure vehicular communication protocols, and compute-in-memory architectures. The lab maintains active collaboration with industry partners on hardware security and neuromorphic computing initiatives while supporting graduate student research in cutting-edge IC design methodologies.