جستجوی استاد راهنمای دانشگاهی

Professor Faye Rogers serves as Professor of Therapeutic Radiology at Yale University School of Medicine, holding multiple leadership positions including Associate Cancer Center Director for YCC Collaborative Excellence, Vice Chair for Collaborative Excellence in Therapeutic Radiology, Associate Director of the Yale MD-PhD Program, and Director of the Yale BioMed Amgen Scholars Program. Her work bridges radiation oncology, DNA repair mechanisms, and cancer therapeutics within Yale's comprehensive cancer research ecosystem. PhD from University of Maryland at Baltimore (1998) Postdoctoral Fellow at Yale School of Medicine Dr. Rogers' research focuses on the intersection of DNA repair mechanisms and cancer therapeutics, with particular expertise in triplex DNA structures, genomic instability, and targeted cancer therapies. Her work explores how DNA damage responses can be leveraged for therapeutic benefit, especially in breast neoplasms and other malignancies. Through her leadership in the DNA Damage and Genome Integrity program, she investigates novel approaches to disrupt cancer cell survival mechanisms while sparing healthy tissue. Her research has significant implications for radiation oncology, particularly in developing more precise and effective radiation-based treatments. Analysis of Dr. Rogers' publication record reveals a consistent trajectory in DNA repair mechanisms and cancer therapeutics, with increasing focus on translational applications. Her work demonstrates expertise in triplex DNA structures, RAD51 inhibition, and synthetic lethality approaches. Recent publications show a shift toward more clinically applicable research, particularly in targeting DNA repair pathways in specific cancer subtypes like IDH1-mutant cancers and PTEN-deficient glioblastomas. Her collaborative work with Peter Glazer and others demonstrates strong interdisciplinary connections between radiation oncology, molecular biology, and drug development. Leadership in Diversity, Equity & Inclusion Award (Yale School of Medicine, 2022) Translational Science Research Prize (Yale Cancer Center, 2022) Kingsley Fellowship in Medical Research Carl Storm Underrepresented Minority Fellowship NCI Research Supplement to Promote Diversity in Health-Related Research As Associate Director of the Yale MD-PhD Program and Director of the Yale BioMed Amgen Scholars Program, Dr. Rogers plays a pivotal role in mentoring the next generation of physician-scientists and supporting underrepresented minorities in biomedical research. Her leadership in collaborative excellence initiatives demonstrates commitment to fostering interdisciplinary research teams across Yale's scientific ecosystem. Through the YCC Collaborative Excellence program, she has secured significant funding for innovative cancer research that bridges basic science and clinical applications, particularly in the areas of DNA repair targeting and radiation oncology. Dr. Rogers leads research within Yale's Therapeutic Radiology department, with strong connections to the Radiobiology program and the Yale Cancer Center. Her work is integrated with the Program in Translational Biomedicine and the Yale Combined Program in the Biological and Biomedical Sciences. Through the BioMed Amgen Scholars Program, she provides critical research opportunities for undergraduate students, particularly those from underrepresented backgrounds, fostering talent in DNA repair research and cancer therapeutics.

• Apoptosis
• Biochemistry
• Breast Neoplasms
• +۵ مورد دیگر

Katrina Campbell is a Professor at the School of Biological Sciences , Queen's University Belfast , where she leads the Biosensors Strand within the Centre for ASsured, SafE and Traceable food (ASSET) . She holds dual Fellowships from the Royal Society of Biology and Royal Society of Chemistry , and is affiliated with the Irish Toxicology Society , SFET , and International Society for the study of harmful algae . Education: BSc (Hons) in Biochemistry (1995), Queen's University Belfast MMedSc in Ultrastructural Anatomy and Pathology (1996), Queen's University Belfast PhD in Pharmacy (transdermal drug delivery), Queen's University Belfast Katrina's research focuses on rapid biosensor-based detection of toxins, chemical contaminants, and pathogens throughout the "environment to farm to fork" food supply chain. She develops antibodies, phage, and aptamers for bioanalytical methods on platforms like Biacore AB, SAW Instruments, and Neogen Lateral Flow , aiming to enhance food safety , sustainability , and traceability . Her work aligns with UN Sustainable Development Goals including Zero Hunger ( SDG 2 ), Climate Action ( SDG 13 ), Life Below Water ( SDG 14 ), and Life on Land ( SDG 15 ). Recent publications address plant-based milk contaminant detection , marine biotoxin monitoring , and PFAS regulation impacts on food sustainability. She leads projects like Seafoodtomorrow , Eurobiotox , and Mychif , collaborating with the Food and Drug Administration (USA) and through Safefood funded initiatives. Scientific Awards: Fellow of the Royal Society of Biology (2023) Fellow of the Royal Society of Chemistry (2023) Katrina supervises PhD students and contributes to technology transfer workshops . She serves as EITFOOD Education Programmes Co-ordinator at Queen's University Belfast. Labs & Collaborations: She leads the Biosensors Strand in ASSET, collaborating with multi-centre EU projects (BioCop, Conffidence, Midtal, Atlantox), industrial partners , and international institutions to create state-of-the-art biosensor tools for food safety.

• Food Security
• Diagnostics
• Biosensor Technology
• +۴ مورد دیگر

Yihan Sun is an Assistant Professor at the University of California, Riverside (UCR) since January 2020. He earned his Ph.D. in Computer Science from Carnegie Mellon University (CMU) , advised by Guy Blelloch , and holds a Bachelor's degree in Computer Science from Tsinghua University . Research Interests: Yihan Sun focuses on the theory and practice of parallel computing , including Parallel algorithms and data structures Write-efficient algorithms for Non-Volatile Memory (NVM) Computational geometry (range trees, Delaunay triangulations) Graph algorithms (SSSP, SCC, cluster-based BFS) Concurrent and persistent data structures Multi-version concurrency control (MVCC) with garbage collection Applications in databases, transactional systems, and computational biology Recent Research Trends: His work on join-based parallel balanced trees has been foundational, supporting four balancing schemes (AVL, red-black, weight-balanced, treaps) and enabling efficient implementations in graph analytics, spatial queries, and dynamic programming. Recent publications focus on output-sensitive algorithms , scalable graph libraries (PASGAL) , and pedagogical approaches to teaching parallel algorithms. Teaching: He teaches CS260 (Parallel Algorithms) at UCR and has served as a guest lecturer for MIT 6.886 (Algorithm Engineering) and CMU 15-859 (Algorithms in the real world) . He also contributed to algorithm education through a tutorial at the ACM Symposium on Principles and Practice of Parallel Programming (PPoPP 2019) . Labs & Collaborations: Yihan is a core contributor to the PAM (Parallel Augmented Maps) library, which has been integrated into systems like Aspen (graph-streaming) and C-trees . He collaborates with teams at CMU-Parlay , PBBS , and Ligra , with his code available on Github for community feedback.

• Parallel Computing
• Algorithms
• Data Structures
• +۱۲ مورد دیگر

Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications

• Cybersecurity
• Blockchain
• Machine Learning
• +۱۲ مورد دیگر

Dr Michael Boemo is an Assistant Professor at the University of Cambridge, holding dual appointments in the Department of Pathology and Department of Genetics. He leads research at the intersection of computational biology, DNA replication, and cancer genomics, developing machine learning tools to analyze replication stress and genomic instability. Academic Background: BA in Mathematics (Rutgers University), PhD in Physics (University of Oxford) Research Focus: Genomic instability in cancer, DNA replication/repair defects, computational modeling using machine learning and high-performance simulations Teaching: Lectures in Natural Sciences Tripos (mathematical biology, genetics, systems biology), module organizer for cancer biology and biological modeling His research group leverages nanopore sequencing and AI to map replication fork dynamics, revealing how stalled forks generate mutations in cancer cells and pathogens. Recent work examines extrachromosomal DNA replication vulnerabilities and transcription-replication conflicts. Dr Boemo collaborates across computational biology and cancer research domains, with publications spanning journals like Nature Methods, Cell, and PLoS Computational Biology. His lab develops tools such as DNAscent for replication fork analysis and explores therapeutic targeting of replication stress.

• Genomic Instability
• DNA Replication and Repair
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Jakob Beetz serves as a University Professor at RWTH Aachen University's Faculty of Architecture, leading the Design Computation (DC) research group. His work addresses critical challenges in sustainable built environments through digital innovation, focusing on integrating knowledge, information, and data across disciplines to reduce the sector's energy and material consumption—which accounts for over one-third of global totals—while advancing climate goals under the European Green Deal. His research spans Building Information Modeling (BIM), digital twins, and artificial intelligence, with emphasis on graph-based data federation, semantic web technologies, and large language models in construction. Key interests include evidence-based planning, parametric design optimization, building physics simulation, and networked knowledge modeling. Recent projects explore federated digital twin ecosystems for infrastructure management, intelligent damage assessment systems, and AI-driven solutions for wood structure preservation, directly contributing to sustainable development targets. Analysis of his 2024-2025 publications reveals a cohesive trajectory toward decentralized data environments and AI integration in Architecture, Engineering, and Construction (AEC). His work bridges theoretical foundations in knowledge representation with practical applications in bridge maintenance, road infrastructure, and timber construction, demonstrating consistent innovation in spatial data querying, federated issue management, and ontology-based process modeling. Prof. Beetz actively supervises PhD candidates, as evidenced by DC.Promotions 2024, and drives international collaboration through events like the Forum Construction Informatics 2025 and CIB W78 conferences. His research group engages with industry standards including Industry Foundation Classes (IFC) and Common Data Environments (CDEs), emphasizing open data principles and interoperability to transform construction workflows.

• Building Information Modeling (BIM)
• Digital Twins
• Artificial Intelligence in Construction
• +۳ مورد دیگر

Kara Anne Bernstein is the George W. Raiziss Professor in the Department of Biochemistry and Biophysics at the Perelman School of Medicine, University of Pennsylvania. She is actively engaged in research and teaching, with affiliations in the Pharmacology, Cell and Molecular Biology, and Biochemistry and Molecular Biophysics graduate groups. Education: B.A. in Biology, Bryn Mawr College, 2000 M.Phil. in Genetics, Yale University, 2004 Ph.D. in Genetics, Yale University, 2006 (Advisor: Susan Baserga) Postdoctoral Fellow, Columbia University, 2006–2011 (Advisor: Rodney Rothstein) Her research focuses on the molecular mechanisms of DNA double-strand break repair, particularly the role of RAD51 paralogs in maintaining genomic stability and preventing breast and ovarian cancers. Using both budding yeast and mammalian models, her lab investigates how mutations in DNA repair genes contribute to tumorigenesis and how environmental exposures compound cancer risk. She leads a dynamic research team and is deeply involved in training the next generation of scientists. Her recent publications highlight work on variant classification in RAD51C, structural insights into the BCDX2 complex, and the role of RECQL4 in DNA repair. These studies span structural biology, cancer genomics, and molecular diagnostics, reflecting a multidisciplinary approach to understanding cancer development. Her work has significant implications for cancer risk assessment and targeted therapies. Scientific Awards: PA Breast Cancer Coalition Research Award Kara Bernstein has advised numerous PhD students, postdoctoral fellows, and technicians, many of whom have gone on to successful careers in academia, industry, and clinical research. Her lab has received competitive funding supporting research on triple-negative breast cancer and DNA repair mechanisms. She continues to publish in high-impact journals and is a sought-after speaker, recently delivering the Marc J. Mass Memorial Lecture at UNC Chapel Hill. The Bernstein Lab maintains a strong presence in both experimental and translational research, with ongoing projects focused on reclassifying variants of unknown significance, investigating gene-environment interactions in cancer, and targeting alternative DNA repair pathways in homologous recombination-deficient cancers.

• DNA Repair and Recombination
• Breast and Ovarian Cancer
• Double-Strand Break Repair
• +۷ مورد دیگر

Dr. Friedrich Longin is an Adjunct Professor and Group Leader of the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, Germany. He leads research on wheat breeding, alternative wheat varieties, and increasing biodiversity in wheat cultivation. University of Hohenheim: Habilitation in Plant Breeding (2016), Adjunct Professor (2019) University of Hohenheim and China Agricultural University in Beijing: Doctorate in a German-Chinese graduate program University of Hohenheim: Studied agricultural biology, specializing in biotechnology and plant breeding Dr. Longin's research focuses on breeding alternative wheat varieties, pre-breeding in wheat, processing and nutritional quality of wheat varieties, nutrient use efficiency in wheat species, and increasing biodiversity and sustainability in wheat cultivation. His breeding research into alternative crops has led to the resurgence of traditional varieties such as spelt, emmer, and einkorn. His work bridges fundamental plant breeding science with practical applications for sustainable agriculture and food systems. He has made significant contributions to understanding the genetic basis of wheat quality traits, disease resistance, and nutritional properties. His recent publications demonstrate a strong focus on genomics-based approaches to wheat improvement, with particular attention to grain quality, nutritional properties, disease resistance, and the relationship between wheat varieties and human health. There is a clear trend toward integrating molecular breeding techniques with traditional approaches, and an increasing emphasis on understanding the health implications of wheat consumption, particularly regarding inflammatory responses and food sensitivities. Active participant in numerous national and international research projects related to wheat breeding and genetic resources Regularly invited to speak at national and international conferences on wheat breeding and sustainable agriculture Volunteers on several professional committees related to plant breeding and agricultural research Dr. Longin heads the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, which focuses on developing improved wheat varieties with enhanced nutritional quality, disease resistance, and environmental adaptability. His team works closely with farmers, millers, and bakers to ensure that new varieties meet the needs of the entire production chain from farm to fork.

• Plant Breeding
• Wheat Genetics
• Alternative Wheat Varieties
• +۵ مورد دیگر

Dinshaw Patel is a Professor at the Structural Biology Program of Memorial Sloan Kettering Cancer Center (MSKCC), holding the Abby Rockefeller Mauzé Chair in Experimental Therapeutics. He has affiliations with Columbia University, The Rockefeller University, and Weill Cornell Medicine through collaborative research projects. PhD in Photochemistry, New York University Postdoctoral training in Biochemistry and Biophysics 17 years at AT&T Bell Laboratories Professor at Columbia University-Health Sciences His research focuses on structural biology of macromolecular recognition systems, particularly CRISPR-Cas surveillance complexes, cGAS-STING pathways, Structure Maintenance of Chromosomes (Smc5/6, MRX) complexes, and epigenetic regulation via histone/DNA modifications. His work spans RNA-mediated processes (siRNA/piRNA pathways), molecular chaperones, and riboswitches/ribozymes. Recent projects include structural characterization of bacterial antiphage defense systems (Lamassu, Kiwa), small molecule inhibitors targeting SARS-CoV-2 RNA capping machinery, and complexes involved in leukemias/lymphomas. Publications highlight structural elucidation of CRISPR-Cas systems using cryo-EM and x-ray crystallography, DNA repair mechanisms, and RNA-protein interaction dynamics. Key collaborations include Luciano Marraffini (Rockefeller), Xiaolan Zhao (MSKCC), and Thomas Tuschl (Rockefeller). National Academy of Sciences member AAAS member AT&T Bell Labs Distinguished Technical Staff Award New York University Distinguished Alumnus Award FEZANA Excellence in Profession Award Lifetime Achievement, American Association of Indian Scientists in Cancer Research Students and trainees benefit from his expertise in structural biology techniques (NMR, crystallography, cryo-EM), biochemical assays, and biophysical approaches. His lab participates in the Tri-Institutional PhD Program in Chemical Biology and maintains affiliations with multiple institutions including Beijing Advanced Innovation Center for Structural Biology and ETH Zürich.

• Structural Biology
• Biochemistry
• CRISPR-Cas Systems
• +۷ مورد دیگر

Dr. Shea Tuberty is a Professor in the Department of Biology at Appalachian State University, where he teaches Invertebrate Zoology, Ecotoxicology, and Fauna of Australasia. He directs the Tuberty Lab focused on sustainable water resource management and serves as Director of the Quality Enhancement Plan. Additionally, he holds board membership and treasurer roles at Environmental Stewards Consulting, Inc., a non-profit advising communities impacted by hazardous waste. His educational background includes a B.A. from Vanderbilt University, M.S. and Ph.D. from Tulane University, and postdoctoral training at the University of West Florida/US EPA. Research centers on ecotoxicology and aquatic ecology in southeastern U.S. streams, investigating impacts of coal ash spills, sewage effluents, road salts, and industrial contaminants. Key projects examine endocrine disruption in fish, toxic metal bioaccumulation, and stream recovery post-remediation. His lab collaborates with Chemistry and Sustainable Technology departments to develop toxin-removal techniques while emphasizing community engagement through school outreach and water quality initiatives. Publications reveal consistent focus on environmental toxicology since the 1990s, with recent work addressing emerging threats like road salts and invasive Didymo diatom in Blue Ribbon flyfishing rivers. Early research established foundational knowledge on heavy metal bioavailability and endocrine disruption in crustaceans. Dr. Tuberty actively mentors high school, undergraduate, and M.S. students through the Tuberty Lab and AppAqua research cluster. He leads civic engagement projects with local schools and non-profits for water quality assessment, while collaborating on regional initiatives like CSETAC conferences and Upper South Fork New River studies. The Tuberty Lab operates within the AppAqua interdisciplinary cluster, studying headwater streams across six Southern Appalachian river systems (Catawba, Linville, New, N. Toe, Watauga, Yadkin). Partnerships with Chemistry and Sustainable Technology departments drive innovation in point-source toxin degradation, directly supporting ASU's sustainability strategic plan.

• Ecotoxicology
• Aquatic Ecology
• Ecophysiology
• +۴ مورد دیگر

Vân Anh Huynh-Thu is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Liège (Belgium). Her research focuses on improving machine learning techniques with an emphasis on model interpretability. She is based at B28: Systems and Modeling in Quartier Polytech, Allée de la Découverte 10, 4000 Liège, Belgium. Her primary research interests span Machine Learning , Bioinformatics , and Gene Regulatory Network Inference . Dr. Huynh-Thu has developed several influential methods including GENIE3, dynGENIE3, and Jump3 for inferring gene regulatory networks from expression data. Her work bridges the gap between machine learning theory and biological applications, particularly in understanding complex disease mechanisms through computational approaches. She has made significant contributions to interpretable machine learning models that maintain high predictive accuracy while providing insights into feature importance and model behavior. Her research demonstrates a progression from purely computational methods toward translational applications in medical research. Analysis of her recent publications reveals a clear trajectory from foundational work on gene regulatory network inference toward broader applications in medical research, particularly in Crohn's disease. Her research increasingly integrates machine learning with clinical applications, demonstrating a shift from purely computational methods to translational research with direct medical implications. The consistent emphasis across her work is on interpretability, rigorous validation, and the application of tree-based methods to complex biological systems, with a growing focus on proteomics and biomarker discovery for inflammatory bowel diseases. Dr. Huynh-Thu maintains an active GitHub presence with implementations of her methods, demonstrating her commitment to open science and reproducibility. Her software repositories have garnered significant attention from the research community, with GENIE3 alone having 88 stars and 37 forks on GitHub. She has developed multiple implementations of her algorithms in Python, MATLAB, and R, making them accessible to researchers across different computational environments. Her work has been influential in the DREAM challenges, where GENIE3 was the best performer in two network inference competitions.

• Machine Learning
• Bioinformatics
• Gene Regulatory Network Inference
• +۳ مورد دیگر

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +۳ مورد دیگر

Dr. Andrea Patriarca is a Senior Lecturer in Mycology at Cranfield University’s Centre for Soil, Agrifood and Biosciences, where she leads research on fungal spoilage and mycotoxin contamination in food. She previously served as an Associate Professor and Head of the Food Mycology research group at the University of Buenos Aires and as an Independent Researcher with CONICET. She has been a visiting scientist at institutions in Denmark, Spain, and the UK, and is a member of the Joint FAO/WHO Expert Committee on Food Additives (2023–2027). Her research focuses on food mycology , particularly the genus Alternaria and Fusarium , their taxonomy, ecophysiology, and mycotoxin production. She investigates fungal contamination in cereals and vegetables, the impact of climate change on mycotoxin accumulation, and the development of rapid detection methods and eco-friendly control strategies. Her work spans from field to fork, integrating polyphasic approaches combining molecular, taxonomic, and metabolomic data. Dr. Patriarca’s recent publications highlight trends in mycotoxin detection , fungal taxonomy , food safety in plant-based products , and biological control methods . Her research has strong industrial relevance, with collaborations involving General Mills, Unilever, Tetra Laval, and other major food companies. Fundación Carolina & Ministry of Education, Science and Technology (Argentina) grant (2010) CONICET Young Researchers External Fellowships (2011) Thalmann Program, University of Buenos Aires (2013) Ministry of Science, Technology and Productive Innovation (Argentina) grant (2014) Joint FAO/WHO Expert Committee on Food Additives expert roster (2023–2027) She supervises PhD students and leads projects such as FunShield4Med and Seed Microbiome Engineering, focusing on sustainable agriculture and foresight in fungal threats. Her advisory work includes consultancy for food industries on fungal spoilage and mycotoxin mitigation. She has contributed to books with Elsevier, Springer, and CRC Press and maintains active research networks including MYTOX-SOUTH.

• Food Mycology
• Mycotoxins
• Fungal Spoilage
• +۱۱ مورد دیگر

Shurui Zhou is an Assistant Professor at the University of Toronto , with primary appointment in the Department of Electrical & Computer Engineering and cross-appointments in the Department of Computer Science and the Department of Mechanical & Industrial Engineering . She is also affiliated with the Schwartz Reisman Institute and a member of the Data Sciences Institute . Zhou directs the FORCOLAB , focusing on enhancing collaboration in distributed software teams, especially in open-source and AI-enabled systems development. Her research integrates software engineering principles with human collaboration insights from organizational behavior, aiming to improve collaboration efficiency through tooling and interdisciplinary methods. Recent publications (2023-2025) explore LLM integration in software development , sustainability in scientific open-source communities , and collaborative challenges in computer-aided design . Education: PhD (2020) from Carnegie Mellon University's Software and Societal Systems Department , MSc from Peking University , BSc from Xi'an Jiaotong University Scientific Awards: Gordon Slemon Teaching of Design Award (2022) Grants: Collaborator on NSERC Alliance-Mitacs Accelerate Grant (2025) for LLM analysis in political data Her lab, FORCOLAB, develops tools like forks-insight.com to analyze GitHub forks and Redundant PR detection bots . Zhou organizes events like the Responsible LLM-Human Collaboration Hackathon (2024) and actively serves on conference committees including ICSE 2025 and ICSME 2024 .

• Software Engineering
• Open-Source Collaboration
• Fork-Based Development
• +۴ مورد دیگر

Eugene Y. Vasserman is an Associate Professor in the Department of Computer Science at Kansas State University's College of Engineering, where he also serves as Director of the Center for Cybersecurity and Trustworthy Systems. His office is located in 2171 Engineering Hall, and he holds office hours on Tuesdays from 2:30 pm to 4:00 pm and Wednesdays from 11:30 am to 1:00 pm during the Fall 2025 semester. Dr. Vasserman's research spans multiple critical areas of cybersecurity including network and distributed system security, privacy and anonymity, censorship resistance, operating system security, medical and IoT security, usable security, and applied cryptography. His work bridges theoretical security concepts with practical implementations, addressing real-world challenges in diverse domains from medical systems to blockchain technologies. His recent publications reveal a research trajectory that has evolved from foundational network security work to increasingly interdisciplinary research intersecting with artificial intelligence, medical systems, and cybersecurity education. The 15 most recent publications demonstrate his ongoing commitment to both theoretical advances and practical security solutions across multiple domains. Outstanding short paper award for 'Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU' at IEEE HPEC 2023 Best graduate student poster award for 'Empowering pre-service teachers to utilize programming in the classroom' at ASEE Midwest Conference 2013 Dr. Vasserman has mentored numerous graduate students through the Systems and Network Security (SyNeSec) Lab, with alumni now working at organizations including Paycom, Corelight, Sandia National Labs, Microsoft, and Cerner. He teaches multiple cybersecurity courses each semester including CIS 525: Introduction to Network Programming, CIS 755: Systems Security, and CIS 351: Cyber Defense Basics, demonstrating his long-term commitment to cybersecurity education since at least 2010. As Director of the Center for Cybersecurity and Trustworthy Systems, he leads initiatives that address critical security challenges across multiple domains, fostering collaboration between researchers, students, and industry partners to develop trustworthy systems for the future.

• Network and distributed system security
• Privacy and anonymity
• Censorship resistance
• +۴ مورد دیگر