جست‌وجوی استاد و پژوهشگر

Sharad Mehrotraمشاهده پروفایل

استاد

• Data Management
• Distributed Systems
• Database as a Service
• +۷ مورد دیگر

Sharad Mehrotra is a Distinguished Professor at the University of California, Irvine (UCI), leading the Center for Emergency Response Technologies (CERT) and directing the NSF-funded RESCUE project. He previously served at the University of Illinois, Urbana-Champaign, and holds a Ph.D. from the University of Texas at Austin (1993). His research focuses on data management, IoT systems, privacy-preserving technologies, and smart spaces, with contributions to frameworks like TIPPERS and MARS. Education: Ph.D., Computer Science, University of Texas at Austin, 1993 Research Interests: His work bridges database systems, security, and IoT, emphasizing privacy in smart environments. Notable projects include sentient space technologies for disaster response, cryptographic methods for encrypted data queries, and semantic IoT integration. Recent efforts address privacy in multi-owner data systems and resilient community water infrastructure. Awards & Recognition: ACM Fellow (2024) SIGMOD Best Paper (2001), DASFAA Best Paper (2004) NAVWAR Innovation Award (2021) Outstanding Graduate Mentor (2005) Grants & Leadership: As RESCUE PI, he managed $12.5M NSF funding, developing crisis-response software deployed by emergency agencies. Collaborations include the Cal-IT2 institute (UCSD/UCI) and the US Navy’s TIPPERS platform. He co-leads initiatives like the NSF Civic Innovation Challenge for disaster resilience in aging communities. Labs & Teams: Directs UCI’s Information Systems Group and CERT, fostering interdisciplinary research with 60+ members. His teams produce open-source tools (e.g., SEMIoTIC, PrivacySphere) and engage in global partnerships via Fulbright Visiting Scholar programs.

Wajih Ul Hassanمشاهده پروفایل

استادیار

• Cybersecurity
• System Intrusion Detection
• Data Provenance Techniques
• +۴ مورد دیگر

Wajih Ul Hassan is an Assistant Professor of Computer Science at the University of Virginia (UVA), affiliated with the School of Data Science. He leads the DART Lab, focusing on system intrusion detection, forensic investigation, and cybersecurity through machine learning and data provenance techniques. His research has earned prestigious awards including the NSF CAREER Award (2024) and Symantec Research Labs Graduate Fellowship. Dr. Hassan holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2021). He has collaborated with NEC Labs and Symantec Research Labs to integrate defensive strategies into commercial security products. His work emphasizes practical solutions for networked systems and scalable security mechanisms. He teaches courses such as CS 6501: Machine Learning in Systems Security, CS 4630: Defense Against the Dark Arts, and DS 6559: Machine Learning in Systems and Network Security. His research interests span intrusion detection, provenance analytics, and automated threat response, with over 20 peer-reviewed publications since 2017. Award Highlights: NSF CAREER Award (2024) ACM SIGSOFT Distinguished Paper Award Young Researcher at Heidelberg Laureate Forum Service Activities: He has served on program committees for top-tier conferences (e.g., IEEE S&P, ACM CCS) since 2018 and reviewed grants for the NSF and Commonwealth Cyber Initiative. Labs & Teams: The DART Lab at UVA focuses on advancing enterprise security through data-driven approaches. Dr. Hassan actively recruits students for research projects in cybersecurity and systems security.

• Fluid Mechanics
• Environmental Fluid Dynamics
• Industrial Fluid Dynamics
• +۳ مورد دیگر

Professor Steven Armfield is a faculty member at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering. He holds a BSc in Applied Mathematics from Flinders University and a PhD from the University of Sydney. His research focuses on fluid mechanics, particularly buoyancy-driven flows, computational modeling, and thermal convection in environmental and industrial contexts. He has led major projects on river management strategies, building ventilation systems, and large-scale fluid dynamics models. As FluD Director, he leads fluid dynamics research initiatives. Education: BSc Applied Mathematics, Flinders University PhD, University of Sydney Research Interests: Professor Armfield's work spans computational fluid dynamics (CFD), natural convection boundary layers, turbulent mixing in stratified flows, and heat transfer applications. His studies address environmental challenges (e.g., river stratification) and engineering systems (e.g., HVAC efficiency). He employs experimental, theoretical, and numerical methods to advance understanding of complex fluid behaviors. Publications: His recent work emphasizes parameterization of turbulent flows, buoyancy effects in stratified systems, and scaling laws for natural convection. Key themes include improving predictive models for environmental and industrial fluid dynamics. Awards: Australian National Research Fellowship Stanford University UPS Visiting Professorship Saitama University Visiting Scholarship Shundoh International Foundation Research Scholarship Advising & Grants: Supervises PhD students in topics like urban fluid dispersion and Navier-Stokes solvers. Secured funding for projects involving CFD analysis of data centers and thermal stratification in open channels. Labs/Teams: Led the School of Aerospace, Mechanical and Mechatronic Engineering (2008–2015) and currently directs the Fluid Dynamics (FluD) research group.

Anita Gohdesمشاهده پروفایل

استاد

• International Security
• Cyber Security
• Political Science
• +۳ مورد دیگر

Prof. Anita Gohdes is a Professor of International and Cyber Security at the Hertie School in Berlin, funded by NXP Semiconductors Germany and supported by Stifterverband. Her research focuses on cyberpolitics, state violence dynamics, and large-scale quantitative analyses of state actions. Previously, she held an Assistant Professorship in International Relations at the University of Zurich and a postdoctoral fellowship at Harvard Kennedy School’s Belfer Center. Since 2009, she has collaborated with the Human Rights Data Analysis Group (HRDAG). She advises international organizations like the German Federal Foreign Office, World Bank, and UN on state fragility and security. Her book Repression in the Digital Age (Oxford UP) examines surveillance and censorship in modern authoritarianism. She leads research at the Centre for International Security, exploring intersections of technology and global security. Awards include the German Dissertation Prize in Social Sciences (Körber Foundation) and the Walter Isard Prize (Peace Science Society) for her Mannheim University doctoral work. Her recent research spans AI governance, civil resistance in digital contexts, and pandemic-era polarization. She has published in top journals like the American Journal of Political Science and Nature Human Behavior .

Tobias Brandtمشاهده پروفایل

استاد

• Digital Innovation
• Public Sector Management
• Information Systems
• +۵ مورد دیگر

Prof. Dr. Tobias Brandt serves as a Full Professor and Chair of Digital Innovation and the Public Sector at the University of Münster's School of Business and Economics. His academic journey includes roles as Assistant Professor at Rotterdam School of Management (2016-2021) and Research Assistant at the University of Freiburg (2011-2015). He co-founded Geospin GmbH in 2016 and holds memberships in VHB, INFORMS, and AIS. Research Interests: Brandt focuses on digital innovation in public sectors, sustainable urban systems, e-government, and platform ecosystems. His work bridges information systems and operational research to address challenges in mobility, energy, and public service delivery. Recent projects include developing tools for sustainable urban planning, digital platforms for elderly care, and leveraging AI for crisis management. Notable Projects: Current initiatives include the PIONEER II Master's program on public innovation, SMARD-Gov (LLMs for government decision-making), and comuneo (digital sustainability management platform). Completed projects include INNO4S (integrating sustainability in business education) and studies on pandemic-driven digitalization in public administration. Awards: RSM Teaching Award (2020), Daniel H. Wagner Prize (2020), IBM Faculty Award (2016). Grants: €5M+ secured from EU Erasmus+, DFG, and German Federal Ministry of Research. Labs/Teams: Leads the Chair of Digital Innovation & Public Sector, collaborating with ERCIS (European Research Center for Information Systems). Active in GovTech and digital sustainability initiatives.

Tarek Alskaifمشاهده پروفایل

دانشیار

• Energy Informatics
• Smart Grids
• Artificial Intelligence
• +۹ مورد دیگر

Dr. Tarek Alskaif is an Associate Professor of Energy Informatics at Wageningen University & Research, specializing in the intersection of information technology and energy systems. He leads research on smart energy systems, focusing on electricity markets, distributed energy resources, and AI-driven solutions. His work integrates modeling, optimization, and big data analytics to advance the sustainable energy transition. Education: PhD in Energy Informatics (2012–2016, Cum Laude) from Universitat Politècnica de Catalunya, Spain. Postdoc at Utrecht University’s Copernicus Institute (2016–2020). Current roles include coordinating the BSc Data Science Minor and teaching Python and Big Data courses. Research interests emphasize leveraging digitalization for energy systems, including smart grids, electric mobility, and battery storage. Notable projects include HighLO Energy Markets (EU-funded, using particle physics and AI for market transparency) and MESSM (coordinated via TKI Urban Energy). He also leads the AI ELSA Lab (NWO-funded). Editorial roles include Associate Editor for IEEE Transactions on Smart Grid and IEEE Power Engineering Letters . Member of IEEE, the Netherlands Institute for Research on ICT (4TU.NIRICT), and the Technical Program Committee for IEEE SmartGridComm and PSCC 2026. Has supervised over 50 students (MSc/BSc) and 7 PhDs. Projects address challenges like grid congestion, EV charging optimization, and decentralized energy trading. His work bridges academic research with industry collaborations, including partnerships with CERN and ACER.

Wael El-Dakhakhniمشاهده پروفایل

استاد

• Resilient Infrastructure Systems
• Systemic Risk Management
• Data-Driven Modeling
• +۴ مورد دیگر

Dr. Wael El-Dakhakhni is a Professor of Civil Engineering at McMaster University, holding the Martini, Mascarin and George Endowed Chair in Masonry Design. He serves as Director of the INTERFACE Institute and NSERC CaNRisk-CREATE program, focusing on systemic risk and resilience in complex systems. His research spans interdependent networks, data-driven modeling, and infrastructure resilience under climate and disaster scenarios. He leads the INViSiONLab, advancing AI-driven solutions for urban resilience through digital twins. El-Dakhakhni is a Fellow of the American Society of Civil Engineers and a Member of the Royal Society of Canada, with notable awards including the NSERC Discovery Accelerator Supplement (twice), Ontario Early Researcher Award, and John B. Scalzi Research Award. His work bridges academia and industry, contributing to codes, standards, and real-world applications in structural engineering and disaster response. Education: BSc (Ain Shams University, Egypt), MSc and PhD (Drexel University, USA). Research Interests: Complex systems simulation, systemic risk quantification, resilient infrastructure design, AI applications in urban planning, and climate resilience frameworks. His work integrates advanced machine learning, network theory, and physics-informed models to address multi-hazard challenges in energy, transportation, and urban systems. Key Projects: CITYDNA, McMasterDNA, and infrastructure digital twins for pandemic and climate crisis decision-support systems. He collaborates with governments and organizations to enhance infrastructure resilience through predictive analytics and adaptive strategies. Labs/Teams: INViSiONLab, McMaster INTERFACE Institute, NSERC-CaNRisk-CREATE program, and the Centre for Effective Design of Structures. His research has informed policy and standards in North America, emphasizing interdisciplinary solutions for systemic risk mitigation.

Ramana Vinjamuriمشاهده پروفایل

دانشیار

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +۴ مورد دیگر

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Ling Zhao is a distinguished Professor at the School of Management, Huazhong University of Science and Technology, China, with extensive research contributions spanning artificial intelligence, machine learning, information systems, and biomedical applications. With over 150 publications since 2008, Dr. Zhao has established herself as a leading researcher in multiple interdisciplinary domains, particularly in applying computational methods to solve complex real-world problems. Dr. Zhao's research interests encompass a broad spectrum of cutting-edge topics including artificial intelligence, machine learning, data mining, control systems, and information systems. Her work demonstrates exceptional versatility, bridging theoretical computer science with practical applications in healthcare, transportation, cybersecurity, and business management. Notably, she has made significant contributions to sentiment analysis, medical image processing, algorithmic management, and privacy-preserving data analysis. Her research methodology often combines deep learning approaches with domain-specific knowledge to develop innovative solutions. Analysis of Dr. Zhao's recent publications (2023-2025) reveals a strong focus on interdisciplinary applications of AI, with particular emphasis on healthcare informatics (medical image analysis, disease diagnosis), human-computer interaction (algorithmic management effects), and advanced machine learning techniques (graph neural networks, multimodal learning). Her work shows a consistent trend toward increasingly complex and integrated systems that address real-world challenges across multiple domains. Dr. Zhao has made substantial contributions to academic advising and research mentorship, though specific student names aren't detailed in the available publications. Her research has been supported by various grants enabling work in AI applications, biomedical engineering, and information systems. Dr. Zhao maintains active collaborations with researchers across China and internationally, as evidenced by her co-authorship patterns. While specific laboratory information isn't explicitly mentioned in the publication records, Dr. Zhao appears to lead or be significantly involved in research groups focusing on AI applications in management and healthcare. Her work on medical imaging, sentiment analysis, and control systems suggests involvement in multiple specialized research teams addressing different application domains through computational approaches.

Zhaolin Chenمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Medical Imaging
• +۵ مورد دیگر

Zhaolin Chen is an Associate Professor in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He holds a PhD in Biomedical Imaging from Monash University and has held roles at the University of Melbourne, Florey Neuroscience Institutes, and the medical imaging industry in Europe. He is an Australian Research Council MCR Industry Fellow and leads Australia's first Point-of-Care MRI network at the National Imaging Facility. His research focuses on AI-driven medical imaging, MRI/PET methods, and multimodal data analysis. He has secured over $8M in research funding, including leadership roles in major projects like the National Mobile MRI Network. Education: PhD in Biomedical Imaging, Monash University Research Fellowships at University of Melbourne and Florey Neuroscience Institutes Research Interests: Deep learning and machine learning in medical imaging MRI/PET acquisition/reconstruction methods Multimodal imaging (e.g., simultaneous MR-PET) Translational research with 10+ patents (5 commercialized) Awards & Grants: ARC Discovery Project (Primary Chief Investigator) 5 highly cited papers (top 10% worldwide in 2021) 2021 SciVal: 90% publications in top 10% journals Recipient of Douglas Lampard Research Prize, ISMRM Magna Cum Laude Leadership & Service: President-Elect, ANZ Chapter of ISMRM (2024) Associate Editor for IEEE ISBI (2022-2023) Program Committee Member for ISMRM (2018-2021) Labs & Teams: Monash Biomedical Imaging leadership National Mobile MRI Network project leadership Collaborations across global institutions (e.g., Hyperfine Inc., University of Queensland)

Rita Hendersonمشاهده پروفایل

استاد

• Water Quality and Treatment
• Algal Biotechnology
• Environmental Engineering
• +۴ مورد دیگر

Professor Rita Henderson is a Professor in the School of Chemical Engineering at UNSW and Deputy Dean (Societal Impact & Translation) at UNSW Engineering. Her research focuses on water quality and treatment, algal biotechnology, and sustainable engineering solutions. She leads the Algal and Organic Matter (AOM) Lab, collaborating closely with the Australian water industry to address challenges in algal blooms, membrane fouling, and cyanobacteria management. She serves as Editor for Water Research and AWWA Water Science , and chairs UNSW’s Sustainable Development Goal (SDG) Steering Committee. Education: PhD in Water Sciences (Cranfield University, 2008), MSc in Water Pollution Control Technology (2004), and MChem in Environmental Chemistry (University of Edinburgh, 2002). Her work integrates advanced analytical techniques, machine learning, and innovative separation methods to improve water treatment efficiency. Research interests include organic matter characterization, membrane technology optimization, and real-time monitoring of cyanobacterial blooms. Her contributions span algal harvesting via PosiDAF flotation systems, disinfection by-product formation, and sustainable wastewater pond technologies. She actively promotes equity, diversity, and inclusion in engineering education. Grants and collaborations highlight her industry partnerships, particularly in developing scalable solutions for water security. Her lab’s innovations aim to bridge gaps between research and practical applications, ensuring robust water treatment strategies for global challenges.

• Computer Networking
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Georgia Fragkouli is a Researcher affiliated with ETH Zürich's School of Computer and Communication Sciences, working within the Institute of Computer Engineering and Communication Systems. Her role is part of the Professorship for Networked Systems, focusing on advanced networking and distributed systems research. She specializes in analyzing network performance, security, and transparency, with a particular emphasis on BGP convergence dynamics, anomaly detection, and decentralized computing architectures. Her research interests include network protocol validation, machine learning-based traffic analysis, and improving internet transparency through innovative measurement frameworks. She has contributed to projects like MorphIT for packet-level transparency and explored failure mitigation in globally distributed systems. Notable recent work includes studies on transient forwarding anomalies, iBGP convergence effects, and data-plane performance consistency. Her publications span both theoretical advancements and practical implementations, aiming to bridge gaps between networking theory and real-world deployment challenges.

• Advanced Semiconductor Packaging
• Thermal Management
• Co-Design and Multiphysics Modelling
• +۳ مورد دیگر

Christopher Bailey is a Professor of Advanced Semiconductor Packaging and Director of the Centre for Advanced Semiconductor Packaging at Arizona State University (ASU). He previously served as Professor of Computational Mechanics & Reliability and Associate Dean for Research at the University of Greenwich, UK. At ASU, he leads research on advanced semiconductor packaging, including roles as Principal Investigator (PI) and Co-Investigator (Co-I) on major projects such as the SRC-funded Thermo-Mechanical Modelling and US Chips Act initiatives (e.g., SWAP-Hub, SHIELD, ITSI). His research focuses on semiconductor packaging reliability, thermal management, co-design methodologies, and multiphysics modeling. Education: MBA (Technology Management), Open University, UK PhD, Thames Polytechnic, UK Research Interests: Advanced Semiconductor Packaging Thermal Management Solutions Co-Design and Multiphysics Modeling Reliability of Electronic Components His work integrates computational mechanics, materials science, and engineering to address challenges in high-reliability electronics. Recent projects emphasize predictive modeling for semiconductor packaging failures under thermal-mechanical stress. Awards: IEEE Region 8 Europe Award (2024) IEEE David Feldman Award (2022) Visiting Professorships at IIT Kharagpur (2018/2022) and Hong Kong (2018) Service & Leadership: Former President of IEEE Electronics Packaging Society (2020–2021) Associate Editor for IEEE Transactions on Components, Packaging, and Manufacturing Technology Conference Leadership (e.g., Program Chair for IEEE PAINE 2024) He has secured over $40M in research funding and authored 400+ archival papers, with expertise spanning industry collaborations (e.g., BAe Systems, Rolls Royce) and government advisory roles (EPSRC Peer Review College, UK Research Excellence Framework).

• Food Safety
• Mycotoxin Contamination
• Circular Economy
• +۳ مورد دیگر

Ine van der Fels-Klerx is an Associate Professor in Business Economics at Wageningen University & Research, with a focus on food safety and risk management. She is also a Programme and Account Management lead, overseeing interdisciplinary projects. Her work integrates economic analysis with food safety challenges, particularly addressing mycotoxin contamination, climate change impacts, and circular economy solutions. Key collaborations include projects on early warning systems for mycotoxins and cost-effective monitoring strategies for contaminants in food supply chains. Her research spans topics such as alternative protein sources, insect-based feed production, and resilient supply chain designs. Notable projects include developing decision support tools for risk-based monitoring and assessing the economic feasibility of food safety interventions. She has advised multiple PhD candidates, including those studying mycotoxin management in maize and climate change effects on aflatoxins. Media contributions highlight her expertise in food safety, including interviews on predicting grain contamination and smart monitoring techniques. She actively participates in workshops and conferences, discussing digitalization in food systems and the role of artificial intelligence in food safety prevention.

Patrik Wikstromمشاهده پروفایل

استاد

• Computational Communication
• Music Industries
• Algorithmic Culture
• +۳ مورد دیگر

Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.