جستجوی استاد راهنمای دانشگاهی

Eman El-Sheikhمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۶ مورد دیگر

Dr. Eman El-Sheikh is a Professor and Associate Vice President at the University of West Florida (UWF), affiliated with the Hal Marcus College of Science and Engineering, the Department of Computer Science, and the Center for Cybersecurity. She is a globally recognized leader in artificial intelligence, machine learning, and cybersecurity, with over 30 years of experience and more than $26 million in competitive research funding. Ph.D. in Computer Science and AI, Michigan State University (2002) M.Sc. in Computer Science, Michigan State University (1995) B.Sc. in Computer Science, American University in Cairo (1992) Her research centers on the integration of Artificial Intelligence and Machine Learning in cybersecurity, with a strong emphasis on education, workforce development, and ethical AI. She leads the development of AI-Cyber curricula for national adoption and is a pioneer in experiential learning models such as the Cybersecurity for All® and CyberSkills2Work® programs. The trends in her recent publications reflect a consistent focus on AI-driven cybersecurity solutions, secure AI systems, national workforce development, experiential education, and inclusive cyber training. Her work bridges technical innovation with policy, leadership, and pedagogy, demonstrating a holistic approach to strengthening the cybersecurity ecosystem. Dr. El-Sheikh has received numerous prestigious honors, including: 2024 GISEC Global Educator of the Year 2024 and 2025 Cybersecurity Woman of the Year (World Finalist) UWF Million Dollar Research Hall of Fame ($25M and $1M levels) 2020 Women Leaders in Cybersecurity, Security Magazine Achievement Award for Advancing Cybersecurity Education (SAM 2016) NSF/NSA AI-Cyber Task Force Member (2024–2025) Founder, Women in Cybersecurity (WiCyS) Florida Affiliate She has led major grant-funded initiatives such as the National Cybersecurity Workforce Development Program and CyberSkills2Work®, securing over $26 million to advance cybersecurity education and training. She mentors students and emerging professionals, particularly through diversity and inclusion efforts. Dr. El-Sheikh also serves as Chief Strategic Alliance Officer and USA Ambassador for the Global Council for Responsible AI, influencing national and global AI policy and education standards. She founded and leads the Artificial Intelligence Research Group at UWF and is actively involved in national task forces and advisory boards, including the Florida Cybersecurity Task Force and the WiCyS Florida Affiliate Advisory Board. Her leadership extends to shaping the future of AI and cybersecurity through collaborative research, innovation in higher education, and strategic partnerships.

Kathleen Mulvaneyمشاهده پروفایل

استادیار

• Cancer Biology
• Protein-Protein Interactions
• Cancer Therapeutics
• +۷ مورد دیگر

Kathleen Mulvaney is an Assistant Professor at the Fralin Biomedical Research Institute at Virginia Tech and in the Department of Biomedical Sciences and Pathobiology at the Virginia-Maryland College of Veterinary Medicine. Her laboratory is located at the Children's National Research & Innovation Campus in Washington, D.C., where she leads research efforts focused on cancer biology and therapeutic development. Dr. Mulvaney's educational background includes: Ph.D. in Cell Biology from the University of North Carolina, Chapel Hill B.S. in Biology from the University of Rochester Dr. Mulvaney's research program centers on understanding and disrupting protein-protein interactions and protein modifications in cancer, with particular focus on pancreatic cancer and pediatric and adult brain cancers. Her laboratory investigates tumor dependencies - the specific enzymes and pathways that cancers rely on for survival - with the goal of translating these findings into meaningful clinical improvements for patient care. A significant portion of her recent work has focused on PRMT5, an enzyme found in approximately 15% of human cancers, exploring how to target this enzyme for therapeutic benefit. Her research employs CRISPR gene editing, molecular biology techniques, and biochemical approaches to identify vulnerabilities in cancer cells. Her laboratory has made significant contributions to understanding the molecular basis of substrate recruitment to the PRMT5 methylosome and has discovered first-in-class inhibitors of the PRMT5-substrate adaptor interaction. Recent work published in Cancer Research demonstrates a promising combination therapy approach for hard-to-treat cancers that lack specific tumor suppressor genes. These cancers, which include certain lung, brain, and pancreatic tumors, become dependent on PRMT5 for survival, making it a potential therapeutic target. Dr. Mulvaney has received numerous scientific awards and honors, including: National Institutes of Health F32 Ruth L. Kirschstein Postdoctoral Individual National Research Service Award (2018-2021) National Institutes of Health LRP Award (2019-2021) Sigma Xi Research Society Graduate Student Travel Award (2015) National Science Foundation Graduate Research Fellowship Honorable Mention (2011, 2012) Dr. Mulvaney actively mentors graduate students and postdoctoral researchers in her laboratory at the Children's National Research & Innovation Campus. Her research is supported by grants from the National Institutes of Health, including an R35 grant to examine cancer-related enzymes. She collaborates extensively with researchers across Virginia Tech and Children's National Hospital to advance cancer research and therapeutic development, participating in the Virginia Tech Cancer Research Alliance which brings together scientists and physicians to develop innovative approaches to cancer treatment. The Mulvaney Lab is part of the Cancer Research Center - D.C. at the Children's National Research & Innovation Campus, where they work alongside other researchers in the Children's Cancer and Immunobiology Center. This collaborative environment allows for interdisciplinary approaches to understanding cancer biology and developing novel therapeutic strategies, with particular emphasis on translating basic science discoveries into clinical applications for hard-to-treat cancers.

• Microbiology
• Infection Biology
• Immunology
• +۳ مورد دیگر

Prof. Friedrich Götz is a Senior Professor and Head of the Department of Microbial Genetics at the University of Tübingen, Germany. He has held this position since 2015, following his tenure as a full professor from 1987 to 2015. He is also a Visiting Professor at the Shiraz University of Medical Sciences (SUMS, 2020–present) and a member of the Cluster of Excellence - CMFI (2018–present). His academic journey includes a Ph.D. in Microbiology from Ludwig Maximilians University (LMU) Munich (1974–1978) and Habilitation at TU Munich (1985). His research focuses on microbial genetics, particularly the physiology of staphylococci, lipoprotein roles in immune responses, and bacterial-host interactions. Recent studies highlight microbiota-derived neurotransmitters influencing host cells and the development of novel antimicrobial compounds. His work has led to groundbreaking insights into skin microbiota's role in wound healing and neurochemical signaling. Prof. Götz has been awarded the DECHEMA Award (1989), DGHM Award (1991), and DGHM Lecturer Award (2009). He has served as President and Vice President of the VAAM (2003–2009), and has held leadership roles in major initiatives, including the DFG Graduate College 685 (2010–2011) and the Transregio SFB (2006–2013). He actively contributes to scientific publishing as an editor for journals like Molecular Microbiology and Medical Microbiology and Immunology, and advises international research institutions. His research spans over 380 peer-reviewed publications, with an h-index of 99, and has mentored over 120 PhD students and postdocs, many of whom have become professors. His lab, part of the Interfaculty Institute for Microbiology and Infection Medicine (IMIT), collaborates globally on microbial genetics and infection biology.

Fendy Santosoمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Artificial Intelligence
• Autonomous Systems
• +۱۲ مورد دیگر

Dr. Fendy Santoso is a leading researcher and Cyber-Physical Lead at the Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Australia. He also holds a Visiting Fellow position at the School of Engineering and Technology, UNSW Canberra, and has held visiting roles at the University of Cambridge and Cranfield University. His work bridges cybersecurity, AI, and autonomous systems, with significant impact in UAV security and cyber-physical resilience. Education: PhD in Electrical Engineering, University of New South Wales (Awarded: 21 Jun 2012) Master of Electrical and Computer Systems Engineering, Monash University (Awarded: 07 Jun 2007) Dr. Santoso’s research focuses on adversarial machine learning, UAV security, intrusion detection in robotic systems, and cyber-secure digital twins. His work integrates AI, control theory, and cybersecurity to enhance the resilience of autonomous systems. He has pioneered research in securing ROS-based platforms and defending against GPS spoofing and DoS attacks in unmanned vehicles. His recent publications (2020–2025) highlight a strong trend in applying deep learning, fuzzy logic, and physics-informed models to detect and mitigate cyberattacks in UAVs and UGVs. Key themes include intrusion detection systems, secure digital twins for agriculture, and intelligent transportation systems enabled by drones. His work is frequently published in IEEE Transactions and top-tier conferences. Scientific Awards and Grants: Vice-Chancellor’s Distinguished Early Career Travel Fellowship, University of Wollongong (2019) ARC Linkage Project Grant (LP230100083) on adversarial machine learning for UAVs (2024) CSIRO-funded AgriTwins project on cyber-secure digital twins for agriculture (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding and actively supervises postgraduate students. He serves as a reviewer for the Australian Research Council and technical program committees of major AI and engineering conferences. His collaborative work spans defence organisations like DSTG and the U.S. Army Ground Vehicle Systems Centre, as well as international academic institutions. He is a Senior Member of IEEE and leads research in labs focused on cyber-physical systems, autonomous robotics, and AI-driven security frameworks. His team develops real-time detection tools for cyberattacks on military and agricultural robots, contributing to critical infrastructure resilience.

Shixiang Zhuمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Operations Research
• +۷ مورد دیگر

Shixiang (Woody) Zhu is an Assistant Professor in Data Analytics at the Heinz College of Information Systems and Public Policy, Carnegie Mellon University. He holds a PhD in Machine Learning from Georgia Institute of Technology (2022) and B.S./M.S. in Computer Science from Beijing University of Posts and Telecommunications (2017). His research bridges machine learning, operations research, and statistics, focusing on sequential modeling, human-AI collaboration, and energy systems operations. He has received awards including the IEEE Power & Energy Society Best Paper Award (2025) and was a finalist for the INFORMS Wagner Prize (2021). Education : PhD in Machine Learning, Georgia Tech (2017–2022) B.S./M.S. in Computer Science, BUPT (2010–2017) His research emphasizes spatio-temporal data analysis , decision making under uncertainty , and applications to energy systems, healthcare, and public policy. Notable projects include optimizing police zone design (Wagner Prize finalist) and enhancing grid resilience through robust optimization. He actively collaborates with institutions like Argonne National Laboratory and NSF-funded projects. Awards : Best Paper Award, IEEE Power & Energy Society (2025) Gen-AI Fellows (2024) Finalist, INFORMS Wagner Prize (2021) Advising & Grants : Advises PhD students Zekai Fan, Wenbin Zhou, and others Recipient of Block Center Seed Grant (2024), NSF funding (2024) His work spans energy resilience, public policy optimization, and causal inference in social systems. He co-leads the INFORMS Data Mining Society and reviews for top journals like Operations Research and Management Science.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Maxime CORDY is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg, within the Security, Design and Validation group (SerVal) . He holds a PhD from the University of Namur (Belgium, 2014) and specializes in software engineering, applied artificial intelligence, and cybersecurity. His work focuses on adversarial machine learning, deep learning robustness, and model checking for critical systems. Research interests include adversarial attacks on tabular data , energy system optimization , code understanding models , and software quality assurance . Recent projects address challenges in secure AI deployment, automated test generation, and fault detection in large language models. Publications emphasize empirical studies on adversarial defenses, data augmentation for code models, and energy consumption forecasting. He contributes to tools like Daedalux (variability-aware model checking) and benchmarks like Tabularbench for adversarial robustness evaluation. Current affiliations include leadership within the SerVal group and collaborations on interdisciplinary projects such as MALETSQUE (Machine Learning Techniques for Software Quality Evaluation). His work bridges theoretical computer science with practical applications in energy systems, medical imaging, and space program design.

Shuva Paulمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Game Theory
• +۱۱ مورد دیگر

Shuva Paul is a Researcher at NREL's Energy Security and Resilience Center , specializing in power systems cybersecurity . His work focuses on collaborative autonomy, computational intelligence, reinforcement learning, game theory, smart grid security , and critical infrastructure protection . Research Interests: Machine learning and deep learning for critical infrastructure systems Event and anomaly detection in power grids Supply chain cybersecurity Cyber-physical energy systems security and resilience Professional Experience: Postdoctoral Fellow, Georgia Institute of Technology (Feb 2021–May 2022) Postdoctoral Research Associate, Washington State University (Jun 2020–Jan 2021) Graduate Intern, NREL (May 2019–May 2020) Graduate Research Assistant, South Dakota State University (2016–2019) Education: PhD, Electrical Engineering, South Dakota State University Master of Electrical and Electronics Engineering, American International University - Bangladesh Bachelor of Electrical and Electronics Engineering, American International University - Bangladesh Advisory and Editorial Contributions: Paul has served as a session chair at IEEE EnergyTech (2013) and IEEE Electro Information Technology (2019) conferences, and as a reviewer for journals like IEEE Transactions on Smart Grid and Neurocomputing . He also acted as a guest editor for the Journal of Sensor and Actuator Networks .

• Terrorism and political violence
• International security
• Societal security and resilience
• +۶ مورد دیگر

Monika Gabriela Bartoszewicz is an Associate Professor at the Department of Technology and Security , UiT The Arctic University of Norway. Her research spans terrorism, political violence, international security, and migration policy with a focus on societal security and resilience. Email: monika.bartoszewicz@uit.no Office Location: Teknologibygget Tromsø 4.008 Her research interests include: Religion and politics Political and religious radicalisation Culture and identity in political processes Hybrid threats in Arctic regions Epistemic security and knowledge monopolies Recent publications explore dystopian migration discourses, firearm policy impacts, and NATO’s evolving security strategies. She contributes to interdisciplinary projects like Global Security: North–South Partnership and Cultural Heritage in Crisis .

Angelika Endres-Fröhlichمشاهده پروفایل

پژوهشگر

• Industrial Organization
• Network Economics
• Microeconomics
• +۳ مورد دیگر

Angelika Endres-Fröhlich is a researcher at the Department 4: Economics within the Faculty of Business Administration and Economics at Paderborn University . Her work integrates experimental economics and industrial organization to study complex market structures and network dynamics.

Jeff Danglمشاهده پروفایل

استاد

• Plant-microbe interactions
• Plant immune system
• Root microbiome
• +۴ مورد دیگر

Jeff Dangl is the John N. Couch Professor and an HHMI Investigator at the University of North Carolina at Chapel Hill, where he leads research in the Department of Biology. He has been studying plant-microbe interactions since 1989, focusing on two main areas: the plant immune system and the root microbiome. His laboratory is located in the Genome Sciences Building on UNC's historic campus, which is part of the Research Triangle Park area, a leading hub for biotechnology research. Dr. Dangl's research interests span several interconnected areas of plant-microbe interactions. His work examines how plants recognize pathogens through their two-tiered immune system consisting of extracellular pattern recognition receptors and intracellular NLR receptors. He also investigates how the plant immune system shapes the composition and function of the root microbiome. His lab uses Arabidopsis thaliana as a model system to study these interactions at multiple biological scales, from molecular and structural levels to small mesocosms. The research trends in Dr. Dangl's recent publications indicate a strong focus on understanding the molecular mechanisms of plant immune receptors, particularly NLR proteins and their activation pathways. His work increasingly integrates microbiome research with plant immunology, exploring how commensal microbes interact with and potentially modulate the plant immune system. There's also significant emphasis on the structural and functional aspects of immune receptor complexes, as well as the evolutionary dynamics of plant-pathogen interactions. HHMI Investigator John N. Couch Professor Dr. Dangl leads a diverse research group with members from several countries, emphasizing small team approaches to tackle complex problems in plant-microbe interactions. His students and postdocs benefit from access to multiple inputs about their work through this collaborative environment. His laboratory has developed expertise in genomics, ecological modeling, metabolic modeling, and both forward and reverse genetics to address questions about microbiome assembly and function. The Dangl lab maintains strong connections with the broader scientific community through collaborations and participation in major research initiatives. They work within the rich research environment of the Research Triangle Park, which includes UNC, Duke University, North Carolina State University, the North Carolina Biotechnology Center, and numerous life-science companies.

• Human Factors
• Cybersecurity
• Cognitive Science
• +۶ مورد دیگر

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.

• Networked Epidemic Modeling
• Graph Signal Processing
• Control Systems
• +۲ مورد دیگر

Victor M. Preciado is a Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. His research focuses on network science , control theory , and graph signal processing . Research Interests: Modeling and controlling spreading processes on complex networks Optimization algorithms for time-varying systems Applications in public health and cyber-physical security Selected Publications: Recent work includes machine learning for operator inference (2022), hybrid systems stability analysis (2021), and pandemic modeling frameworks (2021). Earlier contributions focus on spectral analysis of epidemics (2009-2016) and geometric optimization (2014).

Jürgen Daiberمشاهده پروفایل

استاد

• Reception of Scientific Theories in Literature
• Literature and New Media
• Literary Theory
• +۶ مورد دیگر

Prof. Dr. Jürgen Daiber is a full professor of Modern German Literary Studies at the Institute of German Studies , University of Regensburg, since 2003/04. His academic career includes a C4 professorship substitute at the University of Trier (2001-2003) and prior research assistantship at Trier (1995-2001). He holds a doctorate (1994) and habilitation (2001) from the University of Trier. Research Focus : Reception of scientific theories in literature (Enlightenment to contemporary), Literature and New Media, Interdisciplinary Romanticism studies Current Projects : DFG Project 'Knowledge + Meaning in Literature', Bavarian Academy of Writing Scientific Contributions : Authored 6 monographs including Kafka und der Lärm (2015) and Das uralte Menschheitsverlangen (2024), with particular emphasis on noise phenomena in early modernism, self-experimentation in Romanticism, and text-image relations. Co-editor of Regensburger Beiträge zur deutschen Sprach- und Literaturwissenschaft and Aurora: Eichendorff Society Yearbook . Awards : Oskar Seidlin Prize (2002), Pegasus98 Online Literature Prize (DIE ZEIT/IBM/ARD), Trierer Literaturplakat Award (1990) Leadership Roles : Director of University Regensburg's Writing Workshop, Coordinator of DAAD exchange with Katowice (2001-2003), Master's program module coordinator for Literature and New Media His work bridges literary theory with scientific epistemology, exploring intersections between Romantic self-experimentation and digital hyperfiction through both traditional monographs and digital projects like Der Trost der Bilder .

Silvia Bonomiمشاهده پروفایل

دانشیار

• Cybersecurity
• Distributed Systems
• Blockchain
• +۸ مورد دیگر

Dr. Silvia Bonomi serves as an Associate Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where she has held academic positions since 2006. Her career progression includes Research Fellow (2010-2011), Tenure Track Assistant Professor (2016-2019), and current Associate Professor appointment since 2019. She maintains her office in Room B114 and is actively engaged in research and teaching within the university's engineering faculty. Her educational background includes: PhD in Computer Engineering, Sapienza University of Rome and Institut de Formation Supérieure en Informatique et Communication (IFSIC/IRISA), Rennes, France (completed under advisors Prof. Roberto Baldoni and Prof. Michel Raynal) Dr. Bonomi's research critically examines dynamic distributed systems where entities autonomously join and leave networks, with applications spanning VANETs, airborne networks, social networks, and distributed cloud services. She pioneers work in Byzantine fault tolerance for mobile environments, blockchain security with emphasis on smart contract vulnerability analysis, and resilient cybersecurity frameworks integrating human factors. Her investigations into publish-subscribe systems focus on quality-of-service enhancements, while her peer-to-peer systems research addresses fundamental connectivity challenges in large-scale decentralized environments. This interdisciplinary approach bridges theoretical distributed computing with practical cybersecurity applications. Analysis of her 15 most recent publications (2021-2024) reveals dominant trends in blockchain security (particularly smart contract vulnerability taxonomies and analysis tool efficacy) and fault-tolerant distributed systems (reliable communication under Byzantine faults in dynamic networks). Her work increasingly integrates human factors into cybersecurity models and develops visual analytics for business-centric risk assessment. Publications span top venues including IEEE CSR, OPODIS, SAFECOMP, and journals like Computers & Security, demonstrating consistent contributions to both theoretical foundations and practical cybersecurity implementations.

• Architectural Planning
• City Planning
• Spatial Planning
• +۵ مورد دیگر

Dr. Haruhiko Goto is a Professor at Waseda University's School of Creative Science and Engineering, Department of Architecture. With a career spanning over four decades, he has served in multiple leadership roles including Executive Vice President and Vice President at Waseda University, and as President of The City Planning Institute of Japan. His work focuses on Urban Design , Regional Development , and Community Engagement through architectural and planning lenses. Education: PhD, MA, and BA in Architecture from Waseda University His research systematically examines environmental cognition and subjective well-being in urban contexts, analyzing how spatial experiences affect social dynamics. Recent studies investigate defensive architecture in public spaces, urban redevelopment of shrines , and post-disaster community reconstruction . His publications demonstrate strong integration between urban environmental psychology and place-based social systems . With over 14 refereed publications and 11 citations, his work addresses contemporary urban challenges including social isolation , work-life design , and cultural landscape preservation . As a leader in his field, he has received multiple planning design awards and contributed to national urban policy discussions. Scientific Awards: City Planning Institute of Japan's 60th Anniversary Commemorative Project Awards (2011) Minister of Land Infrastructure's Land Use Model Award (2010) Good Design Award (2010) Japan Institute of Architects Award (2005) As an academic leader, he has chaired numerous professional organizations including The World Society for Ekistics and The Japan Society of Lifology , and contributed to policy development through committee memberships in Japan Academic Council and Urban Planning Institute of Japan .