جست‌وجوی استاد و پژوهشگر

Marc Pomplunمشاهده پروفایل

استاد

• Human Vision
• Eye Movements
• Visual Attention
• +۵ مورد دیگر

Marc Pomplun is a Professor and Chair of the Department of Computer Science at the University of Massachusetts Boston, and Director of the Visual Attention Laboratory. His research focuses on analyzing, modeling, and simulating human vision through eye-tracking, cognitive modeling, and interdisciplinary applications in education, neuroscience, and human-computer interaction. Education: Ph.D. in Cognitive Science (University of Bielefeld, Germany, 1998) Diploma Thesis in Computer Science (University of Bielefeld, 1994) Research Interests: Marc’s work spans visual attention, eye movements, dyslexia, human-computer interaction, and computational modeling of vision. He uses eye-tracking to study reading, memory, and visual search, and applies findings to assistive technologies and educational tools. Publications & Trends: His recent work includes AI-driven medical imaging for Alzheimer’s and cancer detection, gaze-based biometric identification, and adaptive learning systems for neurodiverse learners. He has published extensively in journals like Vision Research , PLoS ONE , and Journal of Vision . Scientific Awards: No specific awards are listed in the provided text. Advising & Grants: While no specific students are named, Marc has mentored numerous researchers and received funding for projects like GeoGaze, which integrates gaze data into geoscience education for neurodiverse learners. Labs & Teams: He directs the Visual Attention Laboratory at UMass Boston, focusing on interdisciplinary research in vision science and technology.

• Cloud Computing
• Internet of Things (IoT)
• Software Performance Management
• +۴ مورد دیگر

Joydeep Mukherjee is an Assistant Professor in the Department of Computer Science and Software Engineering at California Polytechnic State University (Cal Poly), San Luis Obispo, USA. He also holds an Adjunct Assistant Professor role at the University of Calgary's Department of Electrical & Software Engineering, where he collaborates on research and student supervision. His research focuses on software performance management in cloud computing and IoT systems, with a particular emphasis on detecting and mitigating performance interference in cloud-native applications. Education: Ph.D. and M.Sc. in Computer Science from the University of Calgary (supervised by Dr. Diwakar Krishnamurthy) Bachelor's in Computer Science and Engineering from NIT Durgapur, India Research Interests: Dr. Mukherjee's work addresses challenges in cloud and IoT systems, including performance anomaly detection, resource contention management, and machine learning-driven optimization. His Ph.D. introduced a novel model-based runtime performance management technique that avoids reliance on hardware counters, enabling cloud subscribers to autonomously manage application performance. He has also contributed to frameworks for IoT security, FaaS scalability, and DevOps automation. Key Research Contributions: His publications explore predictive auto-scaling, interference modeling, and anomaly detection using spectrograms and CNNs. He co-developed PRIMA and RAD systems for subscriber-driven performance mitigation in cloud environments. Awards: No specific awards mentioned in the provided text. Lab and Collaborations: Active in the CERAS Lab at York University (during his postdoc) and collaborates with the University of Calgary on research programs. His work bridges academic and industrial challenges in cloud computing and IoT through interdisciplinary approaches.

Murat Kantarciogluمشاهده پروفایل

استاد

• Data Privacy
• Computer Security
• Machine Learning
• +۵ مورد دیگر

Murat Kantarcioglu is an Ashbel Smith Professor of Computer Science at the University of Texas at Dallas within the Erik Jonsson School of Engineering and Computer Science. He holds visiting appointments at UC Berkeley and Harvard University, focusing on data privacy and security. With a Ph.D. in Computer Science from Purdue University (2005), he has made significant contributions to privacy-preserving data mining, blockchain analytics, and secure machine learning. Education: Ph.D. in Computer Science (Purdue, 2005) Current Roles: Ashbel Smith Professor (2021-present), Visiting Scholar at UC Berkeley (2020-present), Affiliate at Harvard (2013-present) Past Roles: Assistant (2005-2011), Associate (2011-2015), and Full Professor (2015-2021) at UTD His research focuses on data privacy , computer security , and machine learning , particularly addressing challenges in privacy-preserving distributed data mining , blockchain analytics , and adversarial machine learning . He has pioneered techniques for secure federated learning , topological analysis of blockchain networks , and privacy-utility tradeoffs in health data systems. Recent publications reveal a strong emphasis on IoT security , graph neural network vulnerabilities , and blockchain data structures . His work combines theoretical rigor with practical implementations using technologies like Intel SGX and homomorphic encryption. Notable Awards NSF CAREER Award (2009) IEEE Technical Achievement Award (2017) AMIA Homer Warner Best Paper Award (2014) Fellow of IEEE (2022), AAAS (2020), and ACM (2016) Key Projects Privacy-Preserving Genomics Data Sharing Adversarial Learning Frameworks Smart Contract Security Medical Data Protection Systems Labs Director of Data Security and Privacy Lab Collaborations with Vanderbilt, UC Berkeley (RISE Lab), and Harvard (Data Privacy Lab)

Payam Khazaeinejadمشاهده پروفایل

دانشیار

• Computational solid mechanics
• Bio-inspired materials design
• Architected & smart materials/structures
• +۷ مورد دیگر

Payam Khazaeinejad is Associate Professor of Solid Mechanics at Kingston University London, where he also serves as School Director of Learning & Teaching and leads the IMechE-accredited Monitored Professional Development Scheme. A Chartered Engineer & Scientist, he is Senior Fellow of Advance HE, Fellow of IMechE, Senior Member of AIAA and sits on multiple national boards including IMechE Council and EPSRC Peer Review College. Education & Continuous Development PhD Engineering, University of Edinburgh (2016) MSc Mechanical Engineering – Applied Mechanics (2006) BEng Mechanical Engineering – Solid Mechanics (2004) MIT Professional Education – Machine Learning for Materials Informatics (2024) Chartered Manager Bootcamp, CMI Level 5 Diploma (2023) Certificate in Innovation in Teaching, Laspau/Harvard (2021) Chartered Engineer & Chartered Scientist status (2021, 2024) Research Interests His research integrates computational solid mechanics with bio-inspired design to create architected materials and structures that are lightweight, adaptive and resilient. Using high-fidelity finite-element and discrete-element modelling he investigates failure mechanisms under extreme thermomechanical environments, with applications spanning pharmaceutical tablet compaction, biomedical scaffolds for bone regeneration, floating solar-panel arrays, fire-exposed steel plates and subsea riser systems. Across 50+ peer-reviewed works he has advanced analytical solutions for functionally graded shells, nonlinear thermo-elastic plates, vibration of micro-composite skew plates and efficient riser elements, while recent outputs concentrate on additive-manufactured aerospace mounts, 3-D printed biodegradable scaffolds and data-driven engineering curricula. Honours & Recognition Provost's Award for Learning & Teaching Excellence 2025 Enterprising Value Award, Kingston People Awards 2024 Senior Fellow, Advance HE Fellow, Institution of Mechanical Engineers Senior Member, AIAA Chartered Engineer & Chartered Scientist (UK Engineering & Science Councils) Leadership & External Examining He is Chief External Examiner at UWE Bristol (2024-present) and External Examiner at Manchester Met and University of East London, having served on programme-revalidation panels nationwide. At Kingston he directs learning & teaching for the School of Engineering, chairs the IMechE Structural Technology & Materials Group, and founded the Engineering Simulation Group.

• Project Management
• Remote Working
• Higher Education
• +۳ مورد دیگر

Dr. Aartee Huzooree is a Lecturer at Edinburgh Napier University's Business School, where she serves as Programme Leader for the BA Business Management and teaches Strategy and Project Management in the MBA Strategic Project Management programme. She holds a PhD in Computer Science from the University of Mauritius alongside MSc and BSc degrees in Software Engineering Projects and Computer Science Engineering. Her research spans multiple domains: Project management methodologies and remote work dynamics AI applications in education and healthcare systems Digital transformation in organizational contexts Health informatics with focus on chronic disease management Her recent publications (2021-2025) demonstrate strong emphasis on AI-driven solutions across sectors, particularly in sports analytics, personalized education, healthcare technology, and sustainable business practices. Awards include: Best Oral Presenter Award (2018) for diabetes sensor technology research As Programme Leader, she oversees student advising and curriculum development. Her work connects to the Centre for Business Innovations and Sustainable Solutions, focusing on technology-enabled solutions for contemporary business challenges.

Amit Kumar Mishraمشاهده پروفایل

استاد

• Machine Learning
• Radar Technology
• Synthetic Aperture Radar (SAR)
• +۷ مورد دیگر

Amit Kumar Mishra is a Professor of Communications Engineering and Director of the National Spectrum Centre at Aberystwyth University, UK. His primary affiliation is within the Faculty of Business and Physical Sciences. He leads interdisciplinary research in radar technology, machine learning, and cognitive architectures with applications in environmental monitoring, biomedical engineering, and cybersecurity. His research interests include Synthetic Aperture Radar (SAR) imaging, AI-driven environmental sensing (e.g., agricultural monitoring, biodiversity tracking), and advanced communication systems like IRS-enhanced NOMA networks. Recent work focuses on developing symbiotic AI-human cognitive systems for attention management and sensor data assimilation in industrial environments. Over 200+ publications span journals like Sensors , IEEE Transactions , and conference proceedings. Notable collaborations include projects on oil spill detection, underwater object recognition, and patient-specific medical modeling. He co-led the SMART Expertise project (2025) focused on innovation bridging. Media highlights include reports on medical imaging applications (Coarctation of Aorta studies) and the Aberystwyth University Technology Centre's innovation initiatives. His work aligns with UN SDGs related to sustainable cities and responsible consumption patterns.

• Accounting
• Finance
• Data/Text Analytics
• +۵ مورد دیگر

Ferhat Zengul is a Tenured Associate Professor in the Department of Health Services Administration at the University of Alabama at Birmingham (UAB), with a secondary appointment in the School of Medicine. He holds additional roles as a Scientist in the Center for Integrated Systems at the School of Engineering. His academic background includes a PhD in Health Services Administration, an MBA in Finance, and a Master of Accounting from UAB, alongside a Bachelor of Science from the University of Istanbul. Zengul's research focuses on improving organizational and public health outcomes through data analytics, with expertise in accounting, healthcare finance, informatics, and infrastructure projects. He has pioneered machine learning applications in healthcare financial and clinical performance research, including predictive modeling and text mining across disciplines like nephrology and healthcare economics. His work has been recognized with awards such as the 2025 Best Paper Award in Knowledge Management and UAB's 2018 Dean's Mentorship Award. Zengul teaches courses on healthcare finance, economics, and informatics at both undergraduate and graduate levels. He has mentored numerous doctoral students, contributing to over 50 peer-reviewed publications and multiple book chapters. His research infrastructure includes a health services data warehouse developed with NSF funding, enabling interdisciplinary studies on hospital operations, quality metrics, and financial performance. He has secured grants totaling $500k+, including NSF awards for health data platforms and BD2K fellowships for translational research. His service spans roles as a journal reviewer, conference organizer, and guest lecturer on topics like secondary data analysis and research ethics. Zengul also advises the UAB Hospital Medicine-Health Services Administration Research Collaborative and has engaged in international teaching at Hamdan Bin Mohammed Smart University.

Dong Chenمشاهده پروفایل

دانشیار

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +۵ مورد دیگر

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

LIANG Zhenkaiمشاهده پروفایل

دانشیار

• system and software security
• Web security
• mobile security
• +۶ مورد دیگر

Dr. LIANG Zhenkai is an Associate Professor and Chairman of the Department of Computer Science at the National University of Singapore's School of Computing. He also serves as the Lead Principal Investigator for the National Cybersecurity R&D Lab (NCL). With extensive experience in academic leadership and cybersecurity research, Dr. Liang has established himself as a prominent figure in the field of system and software security. Dr. Liang received his Ph.D. in Computer Science from Stony Brook University in 2006 and his B.S. degrees in Computer Science and Economics from Peking University in 1999. His dual background provides a unique perspective on security challenges that bridges technical expertise with economic understanding. Dr. Liang's research focuses on system and software security , with particular emphasis on security in emerging platforms including Web, mobile, and Internet-of-Things (IoT) systems. His specific research interests include program analysis, Web and IoT system security, and virtualization. As the leader of the Curiosity Research Group, his team pursues missions centered around "Understanding systems (理解系统), abstracting knowledge (提炼知识), and connecting facts (参悟规律)". This philosophical approach to security research has yielded numerous significant contributions to the field. Dr. Liang's recent publications demonstrate a strong evolution from fundamental security mechanisms to sophisticated solutions addressing AI security, blockchain, and advanced vulnerability analysis. His work increasingly integrates machine learning techniques with traditional security approaches, focusing on developing robust defenses against sophisticated attacks while maintaining system usability. The trend shows a progression toward addressing contemporary challenges in large language models, secure system observability, and vulnerability propagation analysis. Dr. Liang has received numerous prestigious awards recognizing his research excellence: Outstanding Paper Award at ACSAC (2003) Best Paper Award at USENIX Security Symposium (2007) ACM SIGSOFT Distinguished Paper at ESEC-FSE (2009) Best Paper Award at W2SP Workshop (2014) Annual Teaching Excellence Award at NUS (2014, 2015) As an educator, Dr. Liang has taught various undergraduate and graduate courses including CS3235 Computer Security, CS5231 Systems Security, and CS5321 Network Security. His teaching philosophy, which he has published on in "Tool, Technique, and Tao in Computer Security Education," emphasizes both technical expertise and philosophical understanding of security principles. He has successfully mentored numerous students and researchers in the cybersecurity field. Dr. Liang leads the Curiosity Research Group, which actively seeks curious minds to join their exploration of security systems. The group maintains strong connections with industry and government cybersecurity initiatives, particularly through the National Cybersecurity R&D Lab (NCL). Their research environment encourages innovative thinking with the requirement that "Curiosity is required, while mentality for repairing things (such as bicycles) is a plus."

• Dairy Science
• Pasture Management
• Animal Nutrition
• +۳ مورد دیگر

Professor Sergio Garcia (Yani) is a globally recognized expert in dairy science at the University of Sydney. He holds the title of Professor of Dairy Science and leads key roles including Director of the Dairy Research Foundation and Group Leader of the Dairy Science Group. His affiliations include membership in the Sydney Environment Institute, Sydney Institute of Agriculture, and Charles Perkins Centre. He earned his Agr. Eng (B.Ag.Sc) from Universidad de Mar del Plata, Argentina, and a PhD from Massey University, New Zealand. Research focuses on pasture-based dairy systems, including grazing management, forage utilization, crop-pasture integration, and automation in dairy farming. He supervises the FutureDairy Project and explores innovations like robotic milking and remote sensing technologies. His work addresses sustainability challenges such as reducing greenhouse gas emissions and optimizing feed efficiency. Recent grants include projects on dairy business resilience post-bushfires and climate-adaptive farming strategies. He has authored over 100 publications, with recent topics covering methane emissions monitoring, Napier grass applications, and automated feeding systems. Garcia’s labs and teams collaborate on platforms like FutureDairy and DairyUp, advancing precision agriculture and livestock systems.

• Smart Urbanism
• Infrastructure Governance
• Southern Urbanism
• +۳ مورد دیگر

Professor Tooran Alizadeh is a Professor of Urbanism and Infrastructure at the University of Sydney's School of Architecture, Design and Planning. She holds an ARC Future Fellowship and specializes in smart urbanism, infrastructure governance, and Southern urbanism. Her work critically examines socio-spatial inequities, telecommunication infrastructure, and the intersection of technology with urban development in Global South contexts. Education: PhD in Urban Studies, Graduate Certificate in Higher Education, Master of Urban Design and Planning, Master of Architecture, and Bachelor of Architecture. Research Interests: Smart city policy and implementation challenges Infrastructure governance in crises Socio-economic impacts of telecommunication networks Urban resilience and disaster planning Epistemic silences in settler-colonial urbanism Grants: 2023: Infrastructure governance beyond government at times of multiple crises (DVC Seed Funding) 2021: Socio-spatial implications of smart city development in India (ARC Future Fellowship) Awards: ARC Future Fellowship (2020–present). Labs/Teams: Member of the Sydney Southeast Asia Centre. Active in the Infrastructure Governance Incubator research network.

• Urban and Regional Planning
• Community Planning
• Risk Management
• +۵ مورد دیگر

Julie Rudner is an Adjunct Associate Professor of Sociology at La Trobe University, where she has held roles including Campus Director (Bendigo, 2021–2023), Course Convenor for Social Inquiry (2010–2021), and academic positions since 2010. Her research focuses on community planning, urban governance, and spatial implications of safety, risk, and belonging. She holds a PhD in Sociology from the University of Melbourne and a Graduate Certificate in Higher Education from La Trobe University. Research interests include public knowings of safety, multicultural urban spaces, children’s environments, and risk assessment frameworks. Notable projects include evaluating the Bendigo Mosque protests (2016) and developing smartphone apps for heat mitigation (2020). She has secured grants from the Australian Government, Helen Macpherson Smith Trust, and others. Her teaching spans urban planning, research methods, and community engagement, with contributions to award-winning programs like the Bachelor of Urban, Rural and Environmental Planning. She has supervised PhD projects on topics such as urban safety in Pakistan, behavioral science in cycling, and Islamic placemaking in Melbourne. Key collaborations include work with Albury City Council (1999–2006), the Victorian Multicultural Commission, and international teams on child mobility and cultural heritage. Her work emphasizes transdisciplinary problem-solving and policy translation to address urban challenges.

Young Leeمشاهده پروفایل

مدرس ارشد

• Edge Computing
• Blockchain Technology
• Fog Computing
• +۳ مورد دیگر

Young Lee is a Senior Lecturer in Computing at Macquarie University, affiliated with the School of Computing and three research centers: Data Horizons Research Centre, Future Communications Research Centre, and Smart Green Cities Research Centre. His research focuses on edge computing, blockchain technology, fog computing, and resource scheduling in distributed systems, with a strong emphasis on applications in IoT, healthcare, and sustainability. He has led or contributed to over 150 research outputs since 2005, including influential works on edge-based video analytics, blockchain frameworks, and cloud-edge resource optimization. Dr. Lee's projects include 'Extreme-Scale Computing for Big Data Analytics' (2016–present) and 'Synergising the Power of the Cloud with the Power of the Crowd' (2016–present), demonstrating expertise in scalable computing and cloud-crowd integration. His work bridges theoretical advancements in scheduling algorithms with practical implementations in energy-efficient data centers and mobile edge environments. Research interests span edge computing architectures, blockchain oracles, and fog caching strategies, with recent contributions to carbon-conscious travel systems and malware detection frameworks. His interdisciplinary approach addresses challenges in resource allocation, network security, and distributed system efficiency.

Christos Emmanouilidisمشاهده پروفایل

دانشیار

• Industrial Informatics
• Artificial Intelligence
• Cyber-Physical Systems
• +۶ مورد دیگر

Christos Emmanouilidis is an Associate Professor with Ius Promovendi at the Faculty of Economics and Business, University of Groningen. He holds over 20 years of experience across Industry, Academia, Research, and Innovation. Current roles include Scientific Vice Chair of IFAC TC 5.1 and Chair of the IFAC AMEST Working Group. He is a Senior IEEE Member and Founding Fellow of ISEAM. Education: PhD in Computing and Engineering Technology, University of Sunderland (2002) MSc in Engineering, University of Durham (1997) Dipl-Eng in Electrical Engineering, Aristotle University of Thessaloniki (1992) Research Interests: Industrial Informatics, IoT, and Cyber-Physical Systems Human-Centric AI & Linked Data Maintenance Engineering and Asset Lifecycle Management AI Ethics and Human-Centric Digital Twins Awards: PHM Society Annual Data Challenge Award (2013) Senior IEEE Member Founding Fellow of ISEAM Labs/Teams: Leads projects in Human-AI Interaction (HumAIne EU Project) and Trustworthy AI in Manufacturing (STAR Project). Active in IEEE and IFAC standardization committees (CEN TC319, ISO 251).

• Socio-Environmental Modeling
• Knowledge Diversity
• Collective Intelligence
• +۴ مورد دیگر

Steven Gray is a full professor in the Department of Community Sustainability at Michigan State University (MSU). He holds additional appointments at the National Institute of Standards and Technology and is a fellow at the Collective Intelligence Unit at the IT University of Copenhagen. His research focuses on socio-environmental modeling, knowledge diversity, and collective intelligence for sustainability, with over 100 peer-reviewed publications and a leading role in editing Environmental Modeling with Stakeholders: Methods, Theories and Applications . Gray’s work is supported by grants from the National Science Foundation, NOAA, USDA, and international bodies like the Belmont Forum. His lab develops the Mental Modeler software, applied globally in environmental planning contexts such as marine spatial planning, citizen science projects, coastal hazard mitigation, and agricultural conservation. Key projects include Collaborative Modeling of Mangroves and Seawalls (NOAA, 2023–2025) and Integrating Perspective-taking and Systems Thinking (NSF, 2021–2024). Research interests emphasize participatory modeling, systems thinking, and leveraging stakeholder knowledge for environmental decision-making. Notable contributions include advancing frameworks for assessing cognitive diversity in stakeholder groups and analyzing the role of collective intelligence in conservation. Gray’s lab also addresses urban food systems, disaster resilience, and climate-smart agriculture through interdisciplinary collaborations. Academic achievements include being named a fellow at the Collective Intelligence Unit and leading MSU’s Human-Environment Interactions Lab. Current projects focus on coastal resilience, fisheries management, and participatory approaches to complex environmental challenges.