جستجوی استاد راهنمای دانشگاهی

Shrikanth (Shri) Narayanan is a University Professor and holder of the Niki and Max Nikias Chair in Engineering at the University of Southern California (USC), serving as the inaugural Vice President for Presidential Initiatives. He leads the Signal Analysis and Interpretation Lab (SAIL) and holds joint appointments in Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology-Head and Neck Surgery. His research focuses on speech and audio processing, behavioral signal processing, and real-time MRI of speech production, with applications in healthcare, education, and technology. Education: B.E. in Electrical Engineering from College of Engineering, Guindy (Chennai, India, 1988); M.S., Engineer, and Ph.D. in Electrical Engineering from UCLA (1990, 1992, 1995). Research interests span computational linguistics, machine learning, and multimodal human behavior analysis. He pioneered technologies for speech biomarkers in mental health, real-time MRI of speech production, and wearable sensor systems for longitudinal health studies. His work in speech emotion recognition, forensic interviews, and clinical applications has been recognized through over 40 awards, including the IEEE Flanagan Award and ISCA Medal. He has published extensively in journals like Proceedings of the IEEE , Journal of the Acoustical Society of America , and PLOS One . Key Grants: NSF CAREER, Okawa Research, IBM Faculty, Google/Amazon awards. Labs/Teams: Signal Analysis & Interpretation Lab (SAIL), USC Information Sciences Institute (ISI), Google Visiting Faculty Researcher.

• Speech and Audio Processing
• Behavioral Signal Processing
• Real-Time MRI of Speech Production
• +۴ مورد دیگر

Christos Faloutsos is the Fredkin Professor of Computer Science at Carnegie Mellon University, with a courtesy appointment in Electrical and Computer Engineering. He holds a B.Sc. from the National Technical University of Athens and M.Sc./Ph.D. from the University of Toronto. His research focuses on data mining, graph analysis, fractals, and database systems. Notable contributions include foundational work on R-trees, graph mining laws (e.g., Kronecker graphs), and applications in medical imaging, network security, and fraud detection. Key projects include PEGASUS (petascale graph mining), fraud detection in online auctions (NetProbe), and tools for human trafficking analysis (TrafficVis). He has led NSF-funded projects on tensor mining, network anomaly detection, and bioinformatics. Over 300 refereed publications highlight his contributions across databases, data mining, and networks. Awards include the KDD Best Paper (2005, 2016), SIGMOD Test-of-Time Award, and recognition as a top nurturer in IT. His lab collaborations span the Parallel Data Lab (PDL), Machine Learning Department, and Computational Biology.

• Data Mining
• Graph Mining
• Fractals and Power Laws
• +۳ مورد دیگر

Dr. Mo Adda is a Principal Lecturer at the University of Portsmouth's School of Computing, part of the Faculty of Technology. He holds a PhD in Distributed Systems and Parallel Processing from the University of Surrey. His research focuses on network security, distributed systems, wireless networks, and cybercrime prevention. He leads projects in the Centre for Cybercrime and Economic Crime, exploring fault management in networks, blockchain applications, and IoT forensics. With 16 supervised theses, he advises on topics like energy-efficient cloud systems and machine learning for environmental modeling. His work bridges academia and industry, addressing challenges in software-defined networks, traffic control, and secure data sharing in social networks. Education: PhD in Distributed Systems (University of Surrey) Affiliations: Centre of Excellence in Defence, Risk & Resilience; Portsmouth Centre for Advanced Materials and Manufacturing Research Interests Dr. Adda's research spans: Network security and fault detection mechanisms Blockchain applications in IoT and forensics Energy-efficient cloud data center optimization Machine learning for climate modeling Self-organizing network protocols Grants & Collaborations His projects include collaborations with industry partners on secure data leakage detection in cloud systems and resilient wireless protocols for harsh environments. He has pioneered fault classification systems using clustering algorithms and fuzzy logic. Labs & Teams He contributes to the Centre for Cybercrime and Economic Crime, focusing on digital forensics and network intrusion analysis. His team develops frameworks for privacy management in social networks and proactive routing in software-defined networks.

• Network Security
• Distributed Systems
• Wireless Networks
• +۵ مورد دیگر

Michele Zorzi is a Professor of Telecommunications at the School of Engineering, University of Padova, Italy, where he has held a faculty position since 2003. He leads the SIGNET (Signal processing and Networking) Research Group, focusing on cutting-edge wireless networking challenges including mmWave communications and underwater networks. His extensive publication record exceeds 600 papers in top-tier journals and conferences, reflecting significant contributions to the field through both theoretical and experimental work. He received his Laurea Degree (1990) and Ph.D. (1994) in Electrical Engineering from the University of Padova. Prior academic appointments include Politecnico di Milano (1993-1996), University of California San Diego (1995-1998), and University of Ferrara (1998-2003), where he progressed from Associate Professor to full Professor. His educational trajectory demonstrates deep roots in Italian academia with international exposure. Professor Zorzi's research spans wireless communications and networking, with current emphases on mmWave networking for vehicular systems, underwater acoustic/optical communications, non-terrestrial networks, and AI-driven networking solutions. His group conducts experimental validations including at-sea trials for underwater systems and testbeds for vehicular networks. Key projects include PRATA for predictive QoS in autonomous driving and IoT-based environmental monitoring of the Venice Lagoon, demonstrating practical applications of theoretical work. Analysis of his 2022-2025 publications reveals strong trends in applying artificial intelligence to networking challenges across diverse environments. There is significant emphasis on vehicular networks (predictive QoS, teleoperated driving), underwater systems (acoustic/optical communications, AUV swarms), and satellite networks (Starlink integration, NTN security). Experimental validation in real-world scenarios like the Venice Lagoon monitoring project and underwater sea trials characterizes his applied research approach. His scientific accolades include: IEEE Fellow (2007) IEEE Communications Society Best Tutorial Paper Award (2008, 2019) Stephen O. Rice Best Paper Award (2018) Multiple best paper awards at IEEE conferences (2005-2020) As principal investigator for numerous European and US research projects plus 20+ industry-funded initiatives, Professor Zorzi has mentored over 35 PhD students and post-docs. Graduates now hold prominent positions at institutions including Stanford, UCSD, CTTC, and Huawei. His SIGNET group maintains active international collaborations and contributes to open-source networking tools via GitHub, demonstrating commitment to community engagement. The SIGNET Research Group, housed within the Department of Information Engineering, operates specialized experimental facilities for mmWave and underwater communications. Current initiatives include AI-based predictive QoS frameworks for vehicular networks, underwater optical communication systems using ultraviolet light, and large-scale IoT deployments for environmental monitoring. The group's GitHub presence indicates strong open-science practices, while recent sea trials confirm hands-on experimental capabilities beyond theoretical work.

• Wireless Communications
• Networking
• mmWave Communications
• +۵ مورد دیگر

Mengliang Zhang is an Associate Professor in the Department of Chemistry and Biochemistry at Ohio University, College of Arts and Sciences. He leads an interdisciplinary research group focused on mass spectrometry and chemometrics, with applications in forensic, food, agricultural, environmental, and material sciences. His lab develops innovative analytical strategies for detecting toxicants, characterizing nanomaterials, and profiling metabolites in botanicals and food systems. Ph.D., Chemistry, Ohio University, 2015 Dr. Zhang’s research integrates instrumentation, chemometrics, and computational tools to address complex analytical challenges. His group works on forensic fiber and ignitable liquid analysis, plant metabolomics, nanomaterial surface chemistry, and environmental toxicant monitoring. His work is highly interdisciplinary, bridging chemistry, data science, and real-world applications in forensics and public health. His recent publications demonstrate a strong trend in advancing ambient ionization mass spectrometry (especially DART-MS), chemometric modeling, and metabolite profiling across diverse matrices—from fire debris to broccoli microgreens. His work increasingly emphasizes automation, quantitation, and database development for botanical phytochemicals. Scientific honors include the MTSU Distinguished Research Award (Early Career), and his students have received prestigious awards such as the Goldwater Scholarship and multiple URECA recognitions. He is actively supported by federal grants from NSF, USDA, DOE, DOJ (NIJ), and FEMA. Dr. Zhang mentors a vibrant research team of graduate and undergraduate students, guiding them in publishing high-impact research and presenting at national conferences like ASMS, Pittcon, and AAFS. He has organized sessions at SciX and served on editorial boards of Journal of Forensic Sciences and Journal of AOAC INTERNATIONAL . His lab recently relocated to Ohio University in August 2024, equipped with advanced instrumentation including UHPLC-QTOF-MS and DART-MS systems.

• Forensic Chemistry
• Food and Agricultural Chemistry
• Metabolomics
• +۱۲ مورد دیگر

Nirupam Roy is an Assistant Professor at the Department of Computer Science, University of Maryland, College Park, and Director of the iCoSMoS research lab. His work bridges wireless networking, mobile computing, and acoustic sensing with applications in IoT, localization, healthcare, security, and wearables. Research Focus: Wireless Networking & Mobile Sensing Awards: Best paper award, MobiSys 2022 Best demo award, MobiSys 2021 CSL Ph.D. Thesis Award, UIUC 2019 Students: Nakul Garg, Yang Bai, Irtaza Shahid, Harshvardhan Takawale, Aritrik Ghosh, Ayushi Mishra, Sumbul Zehra, Justin Goodman Grants: NSF CAREER award (2023), Meta Research Award (2023)

• Wireless Networking
• Mobile Computing
• Cyber-Physical Systems
• +۹ مورد دیگر

Joël Brugger is a Professor of Synchrotron Geosciences at Monash University, where he is affiliated with the School of Earth, Atmosphere and Environment. He earned his PhD from the University of Basel in 1996 and has held academic and research positions at the University of Adelaide and South Australian Museum before joining Monash in 2014. His research leverages advanced synchrotron techniques to investigate geochemical processes in natural and anthropogenic systems. His research interests include: Synchrotron-based geochemistry Formation of rare earth element deposits Biogeochemical cycling of critical and toxic elements (e.g., tellurium) Environmental behavior of radioactive particles (e.g., plutonium at Maralinga) Mineral-microbe-fluid interactions Sustainable mineral extraction technologies His recent publications highlight the use of high-energy X-rays to study ore formation, nanoparticle dynamics, and environmental contamination. These works demonstrate a strong trend toward interdisciplinary, experiment-driven geochemistry with implications for renewable energy and environmental safety. His research is frequently published in high-impact science communication platforms and peer-reviewed journals. Scientific awards and recognitions include: No specific awards listed in the source material. He actively engages in research supervision, consulting, and media outreach. His work is supported by the Australian Research Council and industry partners in the mining sector. He leads a multidisciplinary team and collaborates internationally, particularly in synchrotron science facilities in Europe. He has contributed to studies involving nanoscale imaging, environmental risk assessment, and clean technology development. He is involved in research teams and labs such as: Minerals, Microbes and Solutions research group (formerly at University of Adelaide) Monash Centre for Electron Microscopy Collaborations with Diamond Light Source (UK) and European Synchrotron Radiation Facility (France)

• Synchrotron Geosciences
• Geochemistry
• Mineralogy
• +۷ مورد دیگر

Dr. Chandranath Adak is an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Patna (IIT Patna), and concurrently serves as a Visiting Fellow at the School of Computer Science, University of Technology Sydney (UTS), Australia. He holds a Ph.D. in Analytics from UTS (2019) and previously served as an Assistant Professor at Indian Institute of Information Technology Lucknow (IIITL) and the Centre for Data Science at JIS Institute of Advanced Studies, Kolkata. Education: Ph.D. (Analytics), University of Technology Sydney (2019) M.Tech., Computer Science and Engineering, University of Kalyani (2014) B.Tech., Computer Science and Engineering, West Bengal University of Technology (2012) Research Interests: His work spans Computer Vision, Deep Learning, Reinforcement Learning, Document Image Analysis, and AI-driven solutions for healthcare, forensics, and industrial automation. He has pioneered methods in biomarker detection using electrochemical sensors combined with ML models, handwriting analysis for educational and forensic applications, and anomaly detection in industrial systems. His research bridges theoretical advances with real-world applications, such as medical diagnostics and quality control systems. Publications: His recent work includes innovations in biosensor-based medical diagnostics, handwriting evaluation systems, and transformer networks for historical document analysis. These contributions reflect a focus on interdisciplinary applications of AI across healthcare, cultural heritage preservation, and industrial automation. Awards: Start-up Research Grant, SERB, India (2022) Dr. Kalam Doctoral Scholarship, UTS (2018) IEEE CIS Graduate Student Research Grant (2017) Senior Member, IEEE (2024) Teaching & Supervision: Taught courses at UTS including 'Introduction to Data Analytics' and supervised research in machine learning and computer vision. His mentorship emphasizes hands-on experience with AI tools and real-world problem-solving. Labs & Teams: Engaged in collaborative projects at UTS's CIBCI Centre and Griffith University's IIIS, focusing on computational intelligence and sensor-driven AI systems.

• Computer Vision
• Deep Learning
• Reinforcement Learning
• +۷ مورد دیگر

Prof. Marc Stamminger is a Professor of Visual Computing at FAU since 2002, leading the Chair of Computer Science 9 (Computer Graphics). His work focuses on algorithms for synthesizing and analyzing images through 3D modeling, LiDAR/Radar capture, and light simulation. He co-leads FAU Solar, applying 3D modeling for environmental lighting analysis under varying conditions. Stamminger has published over 250 papers, winning prestigious awards like the Siggraph Test-of-Time Award. He holds executive roles in Eurographics and is Vice Dean of FAU's Technical Faculty. Research interests span neural rendering , 3D reconstruction , radar imaging , and medical visualization . Recent work emphasizes radiance field rendering (e.g., VR-Splatting, INPC) and radar-based human motion tracking. His lab's FAU Solar project integrates large-scale 3D models with environmental lighting simulations. Publications trends highlight neural rendering optimizations , radar-MIMO systems , and agricultural digital twins . Key collaborations involve medical imaging (e.g., vocal fold reconstruction) and autonomous driving data generation. Awards: Siggraph Test-of-Time (2023?), 2× Siggraph Best-Of-Show Grants/Teams: FAU Solar Lab, Eurographics leadership, FAU Vice Dean Labs: Chair of Computer Science 9, FAU Solar Initiative

• Computer Graphics
• 3D Reconstruction
• Neural Rendering
• +۷ مورد دیگر

Zaklina Spalevic is a distinguished Professor at Singidunum University, specializing in the intersection of law, technology, and business. With a strong academic background in criminal law and extensive research in cyber law, artificial intelligence applications in legal systems, and tourism law, she has established herself as a leading scholar in digital legal frameworks. Her work spans multiple disciplines, connecting traditional legal principles with emerging technological challenges. Dr. Spalevic earned her doctoral degree in Criminal Law from the University of the Academy of Economics in Novi Sad (2008-2012), following basic studies in General Law at the University of Pristina (1996-2001). Her educational foundation in Science and Mathematics from First Pristina High School (1992-1996) provided the analytical basis for her interdisciplinary approach to legal scholarship. Her research interests focus on the evolving landscape of cyber law, particularly the legal implications of artificial intelligence in judicial systems, electronic governance, and tourism industry regulation. Dr. Spalevic has pioneered work on digital evidence processing, algorithmic justice, and the integration of green law principles into sustainable business practices. Her publications reveal a consistent pattern of addressing emerging legal challenges in the digital age, with increasing emphasis on AI applications across various legal domains. Analysis of her recent publications shows a clear trend toward interdisciplinary research that bridges law, technology, and business. Her work increasingly focuses on practical applications of legal frameworks for emerging technologies, particularly in tourism, agriculture, and judicial systems. The integration of technical solutions with legal regulation represents a distinctive feature of her scholarly contributions. Dr. Spalevic has authored numerous publications including three books: 'Fundamentals of Law with Special Reference to Business and Tourism Law' (2021, 2024 editions) and 'Legal Aspects of Cyberspace' (2018). Her extensive publication record includes over 100 journal articles and conference papers spanning cyber security, electronic governance, intellectual property in digital environments, and legal frameworks for emerging technologies. She actively contributes to academic discourse through conference presentations and collaborative research projects, particularly focusing on the legal implications of artificial intelligence across various sectors. Her work demonstrates a commitment to developing practical legal frameworks that address real-world technological challenges while maintaining foundational legal principles.

• Cyber Law
• Artificial Intelligence and Law
• Business Law
• +۷ مورد دیگر

Dr. Auzeen Shariati is an Associate Professor and Director of Undergraduate Programs in the Department of Criminology, Law and Society at George Mason University. She holds a Ph.D. in Public Affairs and Criminal Justice from Florida International University (2017), an M.A. in Criminal Law and Criminology from Allameh Tabataba’I University (2010), and a B.A. in Judicial Law from the University of Tehran (2006). Prior to academia, she practiced as a defense attorney at the Iranian Bar Association. Her research focuses on environmental criminology, crime prevention, victimization, policing strategies, and comparative criminal justice systems. Key areas include pandemic impacts on domestic violence, school safety through Crime Prevention Through Environmental Design (CPTED), and policy evaluation in criminal justice. She has published extensively in journals like American Journal of Criminal Justice , Journal of Family Violence , and Security Journal . Recent work examines how the Covid-19 pandemic and social upheavals like the murder of George Floyd influenced domestic violence reporting and victim experiences. Her studies combine quantitative and qualitative methods, emphasizing real-world policy implications. Dr. Shariati teaches courses such as Introduction to Criminology , Law and Justice Around the World , and Evaluation of Crime and Justice Policies . She actively presents at conferences like the American Society of Criminology and has contributed to public discourse on campus safety and criminal justice reform through media engagements.

• Environmental Criminology
• Crime Prevention
• Victimization Studies
• +۶ مورد دیگر

James Manning is a Lecturer in Digital Design at RMIT University's School of Design. His research focuses on game design, digital media, and cultural memory, exploring topics such as game preservation, livestreaming practices, and the intersection of play and technology. He is particularly interested in 'anarchaeological' approaches to defunct games and the documentation of everyday play practices. His teaching interests include game studies, interactive media, animation aesthetics, and design methodology. He actively supervises research in strategies for reflective shortform game design and has contributed to projects like the Astrosurf interactive dome experience. Key research themes include media archaeology, esports culture, and the sociocultural dimensions of digital games. His work bridges theoretical frameworks with empirical studies, examining how digital platforms shape media consumption and cultural production.

• Game Design
• Digital Media Studies
• Cultural Memory
• +۵ مورد دیگر

Prof. Ronald Meester is a Full Professor of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. He specializes in mathematical statistics, probability theory, and their applications in legal and environmental contexts. His current positions include director of Meester Advies (Leiden) and expert for Landelijke Deskundigheidsmakelaar Politie (Apeldoorn). He has supervised 14 PhD theses and contributes to interdisciplinary research bridging statistics with law, epidemiology, and environmental policy. Research focuses on Bayesian reasoning, likelihood ratio analysis, and statistical methodologies for legal evidence evaluation. Recent work addresses nitrogen deposition policy critiques and epidemiological study design limitations. His ancillary activities include authorship (since 2003) and teaching roles at SSR Utrecht. Media engagements include commentaries on scientific integrity and environmental policy. Teaching includes the course 'Mathematical Modelling of Stochastic Systems' (2024-2025 academic year). Active in international collaborations and has produced 111 research outputs spanning articles, books, and encyclopedia entries. His work contributes to UN SDGs related to sustainable development through environmental statistical analysis.

• Mathematical Statistics
• Probability Theory
• Bayesian Reasoning
• +۳ مورد دیگر

Joel S. Hayworth is an Associate Professor in the Department of Civil Engineering at Auburn University's College of Engineering. His research focuses on environmental and ecosystem restoration, particularly in estuarine, terrestrial, and freshwater systems. He leads the Estuarine Environments Research Program (EERP), which investigates the fate of endocrine-disrupting chemicals (EDCs), PFAS, and oil spill residues in coastal environments. Dr. Hayworth's educational background includes a PhD in Civil Engineering (Hydrology/Hydraulics) from Auburn University, an MS in Hydrology from the University of Nevada, Las Vegas via the Desert Research Institute, and a BS in Geophysics from the University of California, Santa Barbara. He previously worked at the Tennessee Valley Authority Engineering Laboratory and the U.S. Air Force Research Laboratory, and founded Hayworth Engineering Science in 1999 before returning to academia in 2010. His research interests span environmental engineering, hydrology, hydraulics, estuarine science, pollutant fate and transport, and chemical fingerprinting. He has developed advanced analytical methods for detecting EDCs and PFAS in water, sediment, and biota. His work integrates field studies, laboratory experiments, and environmental modeling to understand complex hydrologic, geologic, chemical, and biological processes in human-impacted ecosystems. The 15 most recent articles highlight a strong trend in environmental contaminant analysis, particularly focusing on PFAS, oil spill residues, and endocrine disruptors. His research combines analytical chemistry with environmental modeling and field monitoring, often in collaboration with interdisciplinary teams. Key themes include the development of UHPLC-MS/MS and GC-MS/MS methods, fate and transport modeling of pollutants, and ecological risk assessment in estuarine systems. Dr. Hayworth's scientific contributions are supported by funding from agencies such as the Gulf Coast Ecosystem Restoration Council (RESTORE Council). His work has led to significant publications in journals like Science of the Total Environment , Marine Pollution Bulletin , and Water . He actively mentors students and collaborates with researchers like T.P. Clement, G.F. John, and V. Mulabagal. His projects, such as the restoration assessment of Cotton Bayou and Terry Cove, demonstrate applied science for environmental problem-solving. He has developed state-of-the-art analytical laboratories and partnered with coastal communities for long-term monitoring. His laboratory, the Estuarine Environments Research Program (EERP), conducts multi-year studies on endocrine disruptors in estuaries, develops innovative sampling and analysis methods, and trains the next generation of environmental engineers and scientists. The team works across disciplines to address complex environmental challenges in the Gulf Coast region.

• Environmental Engineering
• Hydrology
• Hydraulics
• +۱۲ مورد دیگر

Dalibor Radovanović is a researcher at Singidunum University , affiliated with the Faculty of Business Informatics . His work spans cybersecurity, blockchain technologies, and their applications in business and IoT systems. Education: Doctoral Dissertation (2016, Singidunum University) Master's & Basic Studies (Faculty of Business Informatics) Secondary Education: ETŠ Nikola Tesla Research Interests include: Security frameworks for IoT and blockchain integration Smart card and wireless network vulnerabilities E-governance and corporate IT audit methodologies Machine learning applications in cybersecurity Environmental performance optimization in agribusiness Publication Trends reveal a focus on blockchain (2022), cybersecurity (2009-2022), and IT governance (2010-2017). His work bridges theoretical analysis with practical implementations in Serbia's digital economy. Collaborations with scholars like Marko Šarac and Saša Adamović highlight interdisciplinary approaches to securing financial systems, educational institutions, and industrial IoT applications.

• Information Technology Governance
• Cybersecurity
• Blockchain
• +۸ مورد دیگر