Operating Systems Security Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۷۶-۶۹۰ از ۱۲٬۱۷۳ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Jayadev Acharyaمشاهده پروفایل

دانشیار

Cornell UniversityUnited States

Jayadev Acharya is an Associate Professor in the School of Electrical and Computer Engineering at Cornell University, with graduate field memberships in Computer Science and Operations Research and Information Engineering. His research focuses on the intersection of information theory, statistical inference, algorithms, and machine learning. He explores trade-offs between data, memory, time, and robustness in learning problems, including quantum information and machine unlearning. Education: B.Tech in Electronics and Communication Engineering from Indian Institute of Technology, Kharagpur (2007) M.S. in Electrical and Computer Engineering from University of California, San Diego (2009) Ph.D. in Electrical and Computer Engineering from University of California, San Diego (2014) Research Trends: His recent work (2020-2022) emphasizes information-constrained inference, differential privacy, quantum entropy estimation, and distributed learning. Key subfields include communication complexity, local privacy, and adaptive gradient processing. His publications span NeurIPS, ICML, COLT, and IEEE Transactions on Information Theory. Awards: Kenneth A. Goldman ’71 Excellence in Teaching Award (Cornell, 2022) MIT Energy Initiative Fellowship (2014) Shannon Graduate Fellowship (UCSD, 2012) Jack Keil Wolf Student Paper Award (ISIT, 2010) Advising and Grants: He advises Sourabh Bhadane, Saravanan Kandasamy, Yuhan Liu, Ziteng Sun, and Huanyu Zhang. Research funded by NSF-CAREER, NSF-CRII, NSF-CIF small grants, and Google Faculty Research Award.

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Stuart Phinnمشاهده پروفایل

استاد

University of QueenslandAustralia

Professor Stuart Phinn is a distinguished academic at the University of Queensland, serving as Professor in the School of the Environment and Centre Director of the Remote Sensing Research Centre (Earth Observation Research Centre). He also maintains affiliations with the Centre for Marine Science. With a career spanning over two decades, Professor Phinn has established himself as a leading expert in earth observation and environmental monitoring, with over 559 publications including 295 journal articles. His educational background includes a Bachelor (Honours) of Science (Advanced) from The University of Queensland and a Doctor of Philosophy from San Diego State University. Professor Phinn's leadership extends to founding directorships of Australia's national earth observation coordination body (www.eoa.org.au) and collaborative research infrastructure (www.tern.org.au), as well as a world-leading research-to-operational program supporting government environmental monitoring (www.jrsrp.org.au). He also leads the Earth Observation for Government Network. Professor Phinn's research focuses on monitoring environmental change using earth observation and field data. His work primarily involves using images collected from satellites and aircraft, combined with field measurements, to map and monitor Earth's environments and how they change over time. This research is conducted in collaboration with environmental scientists, government agencies, NGOs, and private companies. A growing aspect of his work focuses on national coordination of earth observation activities and the collection, publishing, and sharing of ecosystem data. His work provides solutions to support sustainable development and resource use for governments, industries, and communities. His recent publications demonstrate a consistent focus on applying earth observation technologies to solve environmental challenges across multiple domains. The 15 most recent articles reveal strong themes in coral reef mapping and monitoring, land cover change detection, fire resilience analysis, and advanced remote sensing techniques including multi-sensor fusion and machine learning applications. His work spans terrestrial, coastal, and marine environments, with significant contributions to understanding environmental change in Australia and internationally, particularly in Indonesia. Professor Phinn has secured substantial research funding from diverse sources including government agencies (Queensland Government, Great Barrier Reef Marine Park Authority), industry partners (SmartSat CRC, Blue Economy CRC), and international organizations (Google Inc, Vulcan Inc). Current projects include evaluating impacts of threats to endangered reptiles, automating tree-scale vegetation structure monitoring, and continuing the Joint Remote Sensing Research Program. As an academic supervisor, Professor Phinn has mentored numerous PhD and Master's students, with current supervision spanning topics from forest disturbance analysis to kelp forest mapping and fire resilience of mine site rehabilitation. His extensive supervision history demonstrates his commitment to training the next generation of earth observation scientists. The Earth Observation Research Centre he directs fosters a collaborative research environment focused on transforming satellite and airborne images with field survey data into meaningful environmental information for decision-making.

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Yulia Gelمشاهده پروفایل

استاد

Virginia Polytechnic Institute and State UniversityUnited States

Yulia Gel is a Professor in the Department of Statistics at Virginia Tech and serves as a Part-Time Program Director-Expert at the National Science Foundation (NSF). She holds a MSc (summa cum laude) and PhD in Mathematics from Saint Petersburg State University (Russia) and completed a postdoc in Statistics at the University of Washington. Her research focuses on uncertainty quantification in AI, statistical foundations of data science, spatio-temporal processes, and applications in climate science, healthcare, and blockchain analytics. She has received prestigious awards including the NSF Director’s Award (2023), ASA Distinguished Achievement Medal (2018), and TIES Abdel El-Shaarawi Award (2014). Gel has led grants on wildfire prediction, climate informatics, and blockchain data science. She serves on editorial boards of Statistica Sinica, Electronic Journal of Statistics, and Technometrics, and organizes workshops on AI for climate sustainability and fragile Earth systems. Her research group develops topological and geometric methods for graph neural networks, with applications to digital twins, environmental justice, and public health. Education: MSc (1997), PhD (2000) in Mathematics from Saint Petersburg State University; Postdoc in Statistics at University of Washington (2001–2003). Past roles include Professor at University of Texas at Dallas (2015–2024) and Associate Professor at University of Waterloo (2004–2014). Selected visiting positions include NASA Jet Propulsion Lab (2016–2017) and Isaac Newton Institute (2016–2017). She has pioneered statistical software packages like snowboot and funtimes for network inference and time-series analysis. Awards highlight her contributions to environmetrics and statistical methodologies. Current projects include NSF-funded research on AI-driven wildfire prediction and blockchain analytics for climate resilience. Her lab’s recent work emphasizes topological methods (e.g., zigzag persistence) for graph-based forecasting and adversarial robustness.

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Ferreira Joao Carlosمشاهده پروفایل

استاد

Molde University CollegeNorway

Joao Carlos Amaro Ferreira is a Professor at the Faculty of Logistics, Molde University College (HiMolde), Norway. He holds PhDs in Computer Engineering and Industrial Engineering from the Technical University of Lisbon and the University of Minho, respectively. His research focuses on Artificial Intelligence (AI) applications in healthcare, energy, transportation, IoT, blockchain, and smart cities. He has led over 40 projects, including 6 as Principal Investigator, and contributed to international conferences like OAIR and INTSYS. He served as IEEE CIS President (2016-2018) and is an IEEE Senior Member since 2015. His academic contributions span AI-driven solutions for public sector informatics, healthcare data quality, and cybersecurity. He actively participates in European projects such as e-Hospital4Future and explores blockchain applications in supply chains and medical records. Ferreira leads the ABC-AI research group, emphasizing ethical and applied AI. His work bridges academia and industry through projects like gamification systems for eco-driving and AI in fisheries traceability. Recent publications highlight AI's role in cardiovascular disease detection, emergency department optimization, and blockchain-enhanced healthcare interoperability. He collaborates internationally, co-editing journals like Applied Sciences , and has authored patents in edge computing for maritime monitoring.

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John D. Kubiatowiczمشاهده پروفایل

استاد

University of California, BerkeleyUnited States

Professor John D. Kubiatowicz is a faculty member at the University of California at Berkeley in the Department of Electrical Engineering and Computer Sciences since 1998. He holds a PhD in Electrical Engineering and Computer Science (minor in Physics) from MIT (1998), an M.S. in EECS (1993), and a double B.S. in Electrical Engineering and Physics (1987) from MIT. His research interests span Quantum Computing Architectures Distributed Systems and Storage Network Security and Peer-to-Peer Protocols Introspective and Manycore Operating Systems Edge and Fog Computing Hardware-Assisted Security He has pioneered systems like OceanStore , a global-scale distributed file system, and Tessellation , a manycore OS with continuous adaptation. The scientific awards he has received include Presidential Early Career Award (PECASE, 2000) Scientific American 50 (2002) Diane S. McEntyre Teaching Award (2003) IEEE ICRA Best Paper (2025) George M. Sprowls Award for MIT PhD thesis (1998) Okawa Research Grant (1998) Best Paper at International Conference on Supercomputing (1993) His recent publications focus on Quantum Circuit Design and Optimization Edge/Fog Computing Architectures Secure Runtime Systems Distributed Garbage Collection Manycore OS Innovations Hardware-Assisted Security Mechanisms He leads the Quantum Architecture Research Center and co-founded the SWARM Lab at Berkeley, advancing a vision of self-adapting, secure systems from the chip level to internet scale.

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Richard O'Quinnمشاهده پروفایل

مدرس

University of QueenslandAustralia

Dr Richard O'Quinn is a Lecturer in Management & Leadership at the School of Business, University of Queensland. He holds qualifications including a PhD from UQ, an MBA, and military degrees from institutions like the US Army Command and General Staff College. With a 23-year career in the US Army Special Operations Forces, his expertise bridges military strategy and academic leadership studies. Research & Teaching: Richard focuses on leadership, strategic decision-making, and organization studies using practice and process perspectives. He teaches in graduate, MBA, and executive education programs, emphasizing practical applications of leadership theory. Recent Research Trends: His work increasingly addresses veterans’ mental health in workplaces, cybersecurity policy, and organizational improvement. Notable projects include seed-funded studies on cybersecurity decision-making and veteran PTSD disclosure challenges. Grants & Collaborations: Funded projects include a 2022-2024 study on veteran mental health disclosure (East Coast Apprenticeships) and a 2021 project developing strategic decision-making simulations (Practera). He also contributes to UQ Cyber initiatives and national cybersecurity strategy submissions. Awards: None explicitly listed, but his work garners attention for bridging military and civilian organizational challenges.

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Per Augustssonمشاهده پروفایل

دانشیار

Lund UniversitySweden

Per Augustsson is an Associate Professor and Senior Lecturer at Lund University's Division for Biomedical Engineering (Faculty of Engineering, LTH). He leads the Acoustofluidics group and serves as Principal Investigator at NanoLund: Centre for Nanoscience. He is affiliated with LTH Profile Areas in Engineering Health, Nanoscience, Photon Science, and LU's Light and Materials initiative. His research focuses on acoustofluidic technologies for biomedical applications, including ultrasound-driven cell/nanoparticle separation, with contributions to UN Sustainable Development Goals. He has secured grants from the Swedish Research Council and Horizon Europe. Research Interests: Acoustofluidics : Designing devices that use ultrasonic waves to manipulate microscopic objects (e.g., blood cells, nanoparticles) in fluids. Microfluidics : Developing lab-on-a-chip systems for biomedical diagnostics. Thermoacoustic Phenomena : Investigating heat-induced fluid motion for precision control in microsystems. Recent Work Trends: Recent publications (2024–2025) highlight advancements in high-energy acoustofluidic devices, label-free cell separation techniques, and real-time acoustic streaming analysis. His work bridges physics and engineering to address challenges in precision medicine and nanotechnology. Awards: Ingvar Carlsson Award (2017) The Phabian Award (2013) Lund University Faculty of Engineering PhD Thesis of the Year (2011) Grants & Projects: - Microscale Thermoacoustic Streaming (Swedish Research Council, 2025–2030) - BLOODFLOW: Acoustic Whole Blood Imaging (Horizon Europe, 2024–2026) - Single-Cell Mechanical Fingerprint (2024–2025 grant) Infrastructure: Manages Micro Particle Imaging Velocimetry (µPIV) and Confocal Microscopy facilities for fluid dynamics analysis.

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George Chalhoubمشاهده پروفایل

استادیار

University of OxfordUnited Kingdom

Dr. George Chalhoub is a Lecturer (Assistant Professor) in Human-Computer Interaction at the UCL Interaction Centre (UCLIC), Department of Computer Science, University College London (UCL). He is also an Associate Member at the Department of Computer Science, University of Oxford, and a 2024–2025 Berkman Klein Fellow at the Berkman Klein Center for Internet & Society, Harvard Law School, Harvard University. His multidisciplinary research bridges cybersecurity, privacy, and human-centered computing, focusing on real-world technology use. DPhil in Cyber Security, University of Oxford (supported by Information Commissioner’s Office) MSc in Computer Science, University of Southampton (supported by Lloyd’s Register) BS in Computer Science, Lebanese American University His research centers on the security, privacy, and safety of digital technologies through a user-centered lens. Key areas include AI-powered systems (e.g., LLMs, smart assistants), emerging technologies in the wild (e.g., smart homes, IoT), embedded devices (e.g., routers), marginalized communities, data workers in AI, and online content creators. His work integrates UX principles to improve data protection in healthcare (e.g., NHS records) and children’s apps, with implications for GDPR compliance and responsible AI innovation. The analysis of his recent publications reveals a consistent focus on empirical studies of user experience in security and privacy, particularly in smart homes and data-intensive applications. His work spans design interventions, ethical frameworks, and policy-relevant findings, published in top venues like CHI, CSCW, SOUPS, and IJHCS. Themes include consent design, communal privacy, vulnerability patching, and developer support for privacy. UK Global Talent Visa recipient, UK Research and Innovation 2024–2025 Berkman Klein Fellow, Harvard University Dr. Chalhoub has advised on research projects related to secure networking by design and responsible AI (e.g., EWADA, RoboTIPS). He has received grant support from the Information Commissioner’s Office for his doctoral work. He is available for consultancy, collaborative research, grant assessment, and supervision of research degrees. His professional experience includes internships at Microsoft Research (Calc Intelligence) and Nokia Bell Labs (Social Dynamics), contributing to projects in AI and social computing. He is affiliated with research groups including the Human-Centered Computing group at Oxford, the UCL Interaction Centre (UCLIC), and the Berkman Klein Center at Harvard. His work is supported by tools and frameworks developed in collaboration with interdisciplinary teams focused on cybersecurity ethics, data governance, and platform accountability.

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Feng Gaoمشاهده پروفایل

استاد

Linköping UniversitySweden

Feng Gao is a Professor of Optoelectronics at the Department of Physics, Chemistry and Biology (IFM), Linköping University, and leads the Electronic and Photonic Materials (EFM) division. He is affiliated with the Faculty of Science and Engineering (Institute of Technology) and conducts interdisciplinary research at the intersection of physics, chemistry, and materials science. His work focuses on organic semiconductors and metal halide perovskites for sustainable energy technologies. His research interests include: Organic and perovskite solar cells with high efficiency and recyclability Perovskite LEDs for next-generation lighting and displays Electrically pumped perovskite lasers Flexible and lead-free perovskite materials for X-ray detection and information storage Sustainable materials design with full lifecycle consideration His recent publications reveal a strong focus on improving device stability, reducing environmental impact, and enhancing energy conversion efficiency in optoelectronic systems. Trends in his work show a shift toward circular economy principles, green manufacturing, and multifunctional materials. His research has been published in top journals including Nature , Science , Nature Energy , and Advanced Materials . Scientific awards received: Göran Gustafsson Prize in Physics ERC Consolidator and Starting Grants Wallenberg Scholar (2024) SSF Future Research Leader (2020) Tage Erlander Prize (2020) Wallenberg Academy Fellow (2017) Lisa Meitner Grant for Israel-Swedish Collaboration Feng Gao has secured significant research funding from the European Research Council (ERC), the Knut and Alice Wallenberg Foundation (SEK 31 million for flexible X-ray technology), Swedish Research Council (VR), Swedish Energy Agency, FORMAS, Vinnova, and Marie Skłodowska-Curie Actions. He actively mentors PhD and postdoctoral researchers, including Max Karlsson and Huotian Zhang, and fosters international collaborations with institutions such as the University of Cambridge, Oxford, and Zhejiang University. His group emphasizes both scientific excellence and career development, supporting exchanges with leading global labs. He leads a dynamic research team within the Advanced Functional Materials (AFM) environment at IFM, working on groundbreaking projects such as fully recyclable solar cells, touch-sensitive LED displays, and perovskite-based random number generators for quantum communication. The group is also building new experimental infrastructure, including advanced labs for optoelectronic materials synthesis and characterization.

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Jan Emblemsvågمشاهده پروفایل

استاد

Norwegian University of Science and TechnologyNorway

Jan Emblemsvåg is a Professor at NTNU’s Department of Ocean Space Operations and Civil Engineering in Ålesund, Norway. He has held senior industry roles including Shipyard Director at Vard, SVP Ship Design & Systems at Rolls-Royce Marine, and Managing Director at Midsund Bruk. His academic positions span BI Norwegian Business School, Ålesund University College, and NTNU since 2006. Emblemsvåg’s expertise bridges engineering and management, focusing on sustainable development through rigorous analytical frameworks. Education: PhD from Georgia Institute of Technology (1999), MSc (1995), and Civil Engineering degree from Norwegian Institute of Technology (1994). R&D focuses on six core areas: 1) Product/process development with Lean methodologies, 2) Life-Cycle Costing/Analyses (integrating cost, environmental, and social dimensions), 3) Risk management and uncertainty analysis using Monte Carlo methods, 4) Operations/General management under Lean principles, 5) Project management with Lean integration, and 6) Renewable energy (especially nuclear power’s role in maritime and industrial sectors). Publications emphasize energy policy critiques, nuclear propulsion feasibility, and sustainable shipping. Recent work highlights nuclear energy’s potential as a cost-effective, low-emission solution for maritime transport and industrial needs. Active in policy debates advocating evidence-based energy strategies. Labs/Teams: Leads NTNU’s research initiatives on nuclear propulsion for merchant ships (NuProShip project) and collaborates internationally on maritime safety and evacuation modeling.

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Indranil Boseمشاهده پروفایل

استاد

NEOMA Business SchoolFrance

Indranil Bose is a Distinguished Professor and Head of the Area of Excellence in AI, Data Science, and Business at NEOMA Business School, with a Ph.D. in Management from Purdue University. He specializes in business analytics, big data, and digital transformation, leveraging expertise from prior roles at IIM Calcutta, University of Hong Kong, University of Florida, and UT Arlington. Education: Ph.D. in Management (Purdue University, 1997) M.S. (Purdue University) M.S. (University of Iowa) B.Tech (IIT Kharagpur) Research Focus: His work spans predictive analytics, social media impact on business, innovation management, cybersecurity, fintech, and AI ethics. Key themes include consumer behavior in digital ecosystems, AI-driven decision systems, and ethical implications of emerging technologies. Publication Trends: Recent articles emphasize AI ethics, digital misinformation, and predictive modeling in finance/healthcare, reflecting a focus on societal impacts of technology. Methodologies include deep learning, sentiment analysis, and causal inference. Awards & Recognition: Winner, EFMD 2017 Case Competition Ranked 29th globally for Information Systems research productivity (2005–2014) Editorial Leadership: Senior Editor for Decision Support Systems and Pacific Asia Journal of the AIS ; Associate Editor for Information & Management , Journal of the AIS , and Communications of the AIS .

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Christine Currieمشاهده پروفایل

استاد

University of SouthamptonUnited Kingdom

Professor Christine Currie is a Professor of Operational Research within the School of Mathematical Sciences at the University of Southampton. She is a Fellow of the Alan Turing Institute and previously served as Director of the Centre for Operational Research, Management Science and Information Systems (CORMSIS). Her research is primarily funded by EPSRC and spans healthcare, disaster relief, and pricing optimisation. Research Interests: Simulation Optimisation Healthcare Management Decision Making Under Uncertainty Disaster Relief Logistics Optimal Pricing and Revenue Management Her recent work focuses on real-time simulation for emergency departments, infectious disease modelling, patient flow optimisation, food relief procurement in Indonesia, and robust pricing models in transportation and leisure sectors. The trend in her publications shows a strong emphasis on applied operational research with societal impact, particularly in digital twin integration and stochastic optimisation under uncertainty. Scientific Awards: Companion of Operational Research (2024) Professor Currie actively supervises PhD students and has secured multiple research grants, primarily from EPSRC. She has led projects such as 'Dial-a-Ride', 'CREST-OR', and 'Designing a resilient food supply network for natural disasters in West Java, Indonesia'. She also collaborates with external organisations and has supervised student projects with industry partners. Leadership and Editorial Roles: Editor-in-Chief, Journal of Simulation (2015–2024) Member, Editorial Board, Royal Society Open Science (2021–present) Co-chair, OR63 National Operational Research Conference (2021) Member, Operational Research Society Research Panel She is actively involved in the operational research community and leads interdisciplinary research teams including the Operational Research group, Institute for Life Sciences, CORMSIS, and the Centre for Healthcare Analytics.

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Aravind Machiryمشاهده پروفایل

استادیار

InriaFrance

Aravind Machiry is an Assistant Professor at Purdue University's Electrical and Computer Engineering Department and a founding member of the Purdue Systems and Software Security (PurS3) Lab . His research focuses on system security, particularly vulnerability detection, prevention, and secure system development using static/dynamic program analysis, fuzzing, type systems, and machine learning. Designing practical solutions for software and embedded system security Recipient of NSF CAREER and Amazon Research awards Active participant in SPLASH 2025 as OOPSLA Review Committee member His recent work includes automated vulnerability detection in embedded software, spatial memory safety enhancements, and security analysis of GitHub workflows. He has received recognition for his research through multiple distinguished paper awards and industry funding. Selected scientific awards include NSF CAREER Award (2024) Amazon Research Award (2022) Test of Time Award at FSE 2023 for DynoDroid Distinguished Paper Award at OOPSLA 2022 for 3c Qualcomm Innovation Fellowship (2025) His research team has developed frameworks like ARGUS for taint analysis of CI/CD workflows and FuzzUEr for UEFI interface fuzzing, discovering hundreds of critical vulnerabilities in open-source projects and thousands of command injection flaws in GitHub repositories.

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Hui Luمشاهده پروفایل

استادیار

University of Texas at ArlingtonUnited States

Dr. Hui Lu is an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington (UTA), where he has been serving since September 2023. Prior to joining UTA, he was an Assistant Professor at SUNY Binghamton from 2017 to 2023. His academic journey includes a Ph.D. in Computer Science from Purdue University (2017), and Master’s and Bachelor’s degrees in Electronic Engineering from Shanghai Jiao Tong University. Ph.D., Computer Science, Purdue University, 2017 M.S., Electronic Engineering, Shanghai Jiao Tong University, 2009 B.S., Electronic Engineering, Shanghai Jiao Tong University, 2006 Dr. Lu's research centers on systems software with a focus on operating systems, virtualization, cloud computing, file and storage systems, and computer networks. His work emphasizes performance optimization and security in cloud-native environments. He has collaborated with leading industrial research labs including HPE Labs, IBM Research, Microsoft Research, AT&T Labs, and NEC Labs. His recent publications span top-tier venues such as OSDI, SOSP, USENIX ATC, and VLDB. The article trends reflect a strong emphasis on secure container technologies, memory tiering, packet processing optimization in virtualized networks, and efficient cloud storage systems. His work increasingly integrates hardware-aware optimizations and lightweight security mechanisms. NSF CAREER Award (2023) UT System Rising STARs Award (2023) Summer Faculty Fellowship, Air Force Research Lab (2019) Dr. Lu has successfully advised multiple Ph.D. students, including Jiaxin Lei, who is now an Assistant Professor at Kean University. His research is supported by major grants from the National Science Foundation (NSF) and the Air Force Research Lab (AFRL), focusing on secure containers, non-volatile memory management, and cloud-native virtualization. He has served as Principal Investigator (PI) on multiple funded projects, demonstrating strong leadership in research and innovation. He is actively involved in teaching core courses such as Operating Systems and advanced topics in systems and architecture. He mentors a growing group of Ph.D. students and welcomes motivated individuals to join his research group.

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Sherif Khattabمشاهده پروفایل

عضو هیئت علمی

University of PittsburghUnited States

Sherif Khattab is a Teaching Assistant Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. With a Ph.D. in Computer Science from the University of Pittsburgh (2008), he brings extensive expertise in cybersecurity systems with applications across cloud computing, Internet of Things, electronic voting, and Big Data security. His research focuses on the systems aspects of cybersecurity, maintaining an h-index of 16 (Google Scholar) and 10 (Scopus) with over 60 publications. Khattab has successfully supervised more than 15 graduate students throughout his academic career. Prior to his position at Pitt, he served as an Associate Professor at Cairo University's Department of Computer Science, Faculty of Computers and Information. Professor Khattab teaches numerous undergraduate and graduate courses, with particular emphasis on hands-on ethical hacking and security education. His current teaching portfolio includes Algorithms and Data Structures (CS 0445) and Network Security (CS 1653), with extensive experience teaching operating systems, formal methods, and computer networks across multiple semesters. His research publications reveal consistent focus on practical security solutions for emerging technologies, with recent work addressing IoT security frameworks, blockchain-based voting systems, and cloud security challenges. The publication trend shows increasing emphasis on practical implementation aspects alongside theoretical security models. With industry experience from internships at Google Inc., Ericsson Data Networks, and Bosch Research, Khattab bridges academic research with real-world security challenges. His educational background includes a Bachelor's in Computer Engineering from Cairo University (1998) and both M.Sc. and Ph.D. in Computer Science from the University of Pittsburgh (2004 and 2008).

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