جست‌وجوی استاد و پژوهشگر

Kevin Lyonsمشاهده پروفایل

استاد

• Sustainable Forestry Engineering
• Forest Operations Planning
• Harvesting Worker Safety
• +۱ مورد دیگر

Kevin Lyons serves as the Wes Lematta Professor of Forest Engineering and Director of the Mechanized Harvesting Laboratory at Oregon State University's College of Forestry, Department of Forest Engineering, Resources & Management. His work integrates engineering principles with sustainable forest management practices. Research Focus Dr. Lyons specializes in forest operations engineering with emphasis on harvesting safety systems, forest road design, and mechanized harvesting technologies. His research addresses critical challenges in worker safety through innovations like energy-absorbing cab guards and advanced tree-felling systems. Current projects focus on cable logging dynamics, tethered harvesting operations, and optimizing forest infrastructure for environmental sustainability. Academic Contributions His publication record demonstrates consistent leadership in forest engineering, with recent work analyzing skyline tension dynamics, winch-assist harvesting, and elevation-based resource extraction. Research trends show increasing integration of computational modeling with field validation across diverse global contexts from the Pacific Northwest to the Italian Alps. Professional Activities Graduate Major Advisor for forestry students Teaches core courses: FE 370 Harvesting Operations, FE 371 Harvesting Process Engineering, FE 416 Forest Road System Management Directs the Mechanized Harvesting Laboratory producing video documentaries on innovations like the Felbot felling machine

Arjuna Madanayakeمشاهده پروفایل

دانشیار

• Multidimensional systems
• Wireless communications
• Array processing
• +۷ مورد دیگر

Arjuna Madanayake is an Associate Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on multidimensional systems, wireless communications, array processing, and analog computing. He holds a Ph.D. from the University of Calgary and B.S. from the University of Moratuwa, Sri Lanka. Dr. Madanayake's work emphasizes low-complexity algorithms for multi-beam beamforming, RF sensing, and FPGA implementations. His lab (RAND Lab) develops innovative solutions in terahertz communications, spectrum intelligence, and AI-driven signal processing. He teaches EEL 5500 Digital Communication Systems and collaborates on projects involving reconfigurable intelligent surfaces and 5G/6G technologies. His recent publications (2020–2025) address challenges in ultra-broadband communication systems, analog computing for PDEs, and spectrum management. He has contributed to IEEE journals and conferences, focusing on practical implementations in hardware and software-defined radio platforms.

• Wireless Communications
• Satellite Communications
• RF and Microwave Engineering
• +۵ مورد دیگر

Dr. Viktor Doychinov is a Lecturer in Electronics and Software Engineering at the University of Bradford, affiliated with the Bradford-Renduchintala Centre for Space AI. His academic journey includes a BEng in Telecommunications from Sofia Technical University, an MSc in Spacecraft Technology from University College London, and a PhD in Electronic and Electrical Engineering from the University of Leeds. He previously worked as a postdoctoral researcher in robotics at Leeds' Institute of Robotics, Autonomous Systems, and Sensing. His research focuses on wireless communications, satellite systems, and millimeter-wave technologies. Key areas include nanosatellite transceiver hardware, mesh networks for robotics/satellites, and open-source tools for space engineering. He also explores applications in resource-constrained environments like exploration robotics and biomedical devices. Teaching responsibilities include modules on embedded electronics, digital signal processing, satellite communications, and space mission design across undergraduate and postgraduate programs such as BEng/MEng Biomedical Engineering and MSc Satellite Systems Engineering. He actively engages in STEM outreach through roles like Transpennine Hub Ambassador and has received an RAEng Ingenious grant. Education: BEng (Telecom), MSc (Spacecraft Tech), PhD (Electronic Engineering) Professional Skills: RF/microwave design, SDR prototyping, robotics frameworks (ROS2/MAVLink), C/Python programming Outreach: STEM Ambassador, RAEng grant recipient (2020/21) His 19 publications span topics like wireless energy harvesting, antenna design, and underground robotics communication. He collaborates with industry on projects such as the Pipebots infrastructure inspection system and space mission simulation using STK/GMAT software.

Effat Farhanaمشاهده پروفایل

استادیار

• Machine Learning
• Data-Centric Artificial Intelligence
• Machine Learning Applications for Education and Healthcare
• +۲ مورد دیگر

Effat Farhana is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. She holds a Ph.D. in Computer Science from North Carolina State University and a B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology. Her research focuses on Machine Learning, Data-Centric AI, and their applications in education and healthcare, alongside empirical software engineering and natural language processing. She explores topics like student learning analytics, AI-driven educational tools, and defect analysis in software projects. Her work bridges cognitive science and AI through projects like theory of mind modeling for humans and AI systems, and developing frameworks for K-12 physics instruction. She also investigates software engineering challenges in infrastructure as code and pandemic-related software systems. Her contributions span both foundational AI research and applied educational technology solutions. Farhana's publications emphasize empirical studies of software defects, cognitive aspects of learning, and AI's role in improving education and healthcare systems. She collaborates on projects involving online learning platforms, science literacy tools, and cognitive-inspired neural architectures.

Rafiqul Islamمشاهده پروفایل

دانشیار

• Cybersecurity
• Malware Analysis and Classification
• Authentication Systems
• +۵ مورد دیگر

Dr. Rafiqul Islam is an Associate Professor in the Department of Computing at Charles Sturt University's School of Computing, Mathematics & Engineering, within the Faculty of Business, Justice and Behavioural Sciences. He specializes in Cybersecurity with a focus on malware analysis, authentication systems, cloud security, IoT security, and privacy in digital environments. He leads the Cybersecurity Research Group and has been recognized nationally/internationally with awards like the 2021 Cyber Security Researcher of the Year Award from AISA. His research has attracted over $7M in external grants, including a $68M Cybersecurity CRC project. Education: PhD (Network Security), MSc (Research), BSc (Hons), PGDip (Learning & Teaching) Leadership: Director of the Cybersecurity Research Team at CSU Publications: Over 200 peer-reviewed articles, emphasizing AI-driven cybersecurity solutions for IoT, cloud, and industrial systems Research interests span adversarial machine learning, ransomware detection, secure agri-food supply chains, and medical data privacy. His work bridges theoretical advancements with real-world applications, such as resilient IoT configurations and threat intelligence frameworks for smart agriculture. Recent articles focus on AI-enhanced cybersecurity for IoT, malware classification systems, and blockchain-based healthcare data protection. He actively collaborates on projects addressing cybersecurity challenges in distributed networks and emerging technologies. Awards: Professional Excellence, Research Excellence, Leadership Award (CSU), Cyber Security CRC contributions Grants: $7M+ secured as Co-PI in collaborative projects His lab focuses on interdisciplinary research, integrating AI, data science, and cybersecurity to address modern digital challenges.

Jamie Pringleمشاهده پروفایل

مدرس ارشد

• Forensic Geoscience
• Near-Surface Geophysics
• Military Geoscience
• +۳ مورد دیگر

Jamie Pringle is a Senior Lecturer and Programme Director in Ecology & Conservation at Keele University's School of Life Sciences. With a background in geology and applied sedimentology, he has developed expertise in forensic geophysics, military geoscience, and environmental geophysical techniques. Geological Society of London - William Smith Fund (2012) Committee member - Near-Surface Geophysics and Forensic Geoscience Specialist Sub-Groups Collaborations - National Crime Agency, UK Police Forces, Environment Agency, Staffs University His research focuses on geophysical methods for forensic applications, including clandestine grave detection, military complex identification, and environmental contamination analysis. He also develops educational e-gaming tools for geoscience training. Recent publications demonstrate applications of GPR, ERT, and UAVs in forensic contexts across tropical to temperate environments. His work supports law enforcement in grave location, human rights investigations, and infrastructure safety assessments. 2024: Three articles in Geology Today on land/water forensic geoscience 2024: Forensic Science International paper on clandestine complex detection 2024: Colombian tropical grave monitoring study 2023: HS2 route geophysical assessments 2022: XR virtual forensic learning environments 2022: pXRF forensic contamination analysis As a committee member with the Geological Society and educator in forensic geoscience, he bridges academic research with practical policing applications while maintaining active teaching commitments across multiple academic levels.

Doowon Kimمشاهده پروفایل

استادیار

• Computer Security
• Cybersecurity
• Usable Security
• +۷ مورد دیگر

Doowon Kim is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Computer Science from the University of Maryland, College Park (2020) and has held academic positions including research internships at Symantec Research Labs and Korea Electronics Technology Institute. Education: PhD, Computer Science, University of Maryland (2020) MS, Computer Science, University of Utah (2013) B.E., Computer Science and Engineering, Hankuk University of Foreign Studies (2011) Research Interests: Computer Security: Data-driven security, usable security, phishing analysis, and PKI abuse. Network Security: Internet measurement, TLS protocols, and threat intelligence sharing. Web Security: Client-side vulnerabilities, phishing kits, and anti-Asian racism in social media. AI in Security: Adversarial attacks on code generation models and poisoned AI suggestions. Recent Trends in Publications: Focus areas include phishing detection mechanisms, AI-driven code exploitation, and PKI security. Recent work explores visual similarity-based phishing detection, backdoor attacks on code completion models, and longitudinal studies of client-side vulnerabilities. Awards: NSA Best Scientific Cybersecurity Paper (2017) Ann G. Wylie Dissertation Fellowship (2019) Best Student Paper at WISA 2022 Advising & Grants: Advises 14+ graduate/undergraduate students (e.g., Kyungchan Lim, Fujiao Ji). Secured travel grants for students at Web Conf and NDSS. Recipient of NSF proposal review panelist roles. Labs & Teams: Actively leads research in cybersecurity with a focus on phishing, PKI, and AI ethics. Collaborates with global institutions like KAIST and Samsung Research.

• Biomedical Informatics
• Healthcare Data Management
• Clinical and Translational Research
• +۳ مورد دیگر

Andrew R. Post, MD, PhD, is a Clinical Associate Professor in the Department of Biomedical Informatics at the University of Utah School of Medicine and Director of Research Informatics at Huntsman Cancer Institute (HCI). He specializes in healthcare data management, software engineering, and data warehousing for translational research. His work focuses on simplifying access to electronic health record (EHR) data for cancer and disease studies, and he leads HCI's Research Informatics Shared Resource, which supports data management systems across genetic testing to population-level data. Previously, he held leadership roles at Emory University, including informatics director for the Georgia CTSA and All of Us Research Program. Education: MD - University of Pennsylvania School of Medicine PhD - University of Pittsburgh MS - University of Pittsburgh Bachelor of Arts - University of Pennsylvania His research emphasizes self-service EHR data access for population studies and systems architectures for clinical research. Over 15 years, he has developed software solutions to streamline data use in oncology and other disciplines. Publications highlight innovations in data warehousing, EHR integration, and temporal abstraction methods. His work bridges technical informatics with clinical practice, addressing challenges in data interoperability and scalability. Projects include optimizing data loading processes for i2b2 platforms and designing privacy-preserving data release systems.

George C. Alexandropoulosمشاهده پروفایل

دانشیار

• Wireless Communication Systems
• Signal Processing
• Algorithmic Design
• +۹ مورد دیگر

George C. Alexandropoulos George C. Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA). He also holds an adjunct professorship at the University of Illinois Chicago. His research focuses on wireless communication systems, signal processing, and reconfigurable intelligent surfaces (RIS), with contributions to integrated sensing and communications (ISAC), millimeter-wave/THz systems, and distributed machine learning. Education Ph.D. in Computer Engineering and Informatics, University of Patras, Greece (2010) M.A.Sc. in Signal and Communications Processing Systems, University of Patras, Greece (2005) Engineering Diploma (5 years), Computer Engineering and Informatics, University of Patras, Greece (2003) Research Interests Alexandropoulos' work spans algorithmic design for wireless networks, optimization of multi-antenna systems, and full-duplex radios. He is particularly known for pioneering contributions to reconfigurable metasurfaces, including their application in ISAC and 6G networks. His research emphasizes practical implementations, such as prototypes for AoA estimation and field trials for RIS deployment. Articles His publications highlight advancements in secure ISAC, fluid RIS design, and edge-intelligence networks. Recent work explores challenges in THz RIS hardware and OTA edge inference using metasurface-integrated neural networks. Scientific Awards IEEE ComSoc Leonard G. Abraham Prize (2024) IEEE Marconi Prize Paper Award (2021) NKUA Research Excellence Award (2023-2024) Advising & Grants Alexandropoulos has led several EU and industry projects, including contributions to Huawei's 5G standards and TII's AI research. His work often involves interdisciplinary teams and practical prototyping. Labs & Teams He is affiliated with the Communications and Signal Processing division at NKUA and collaborates with institutions like ATHENA Research Center and the Technology Innovation Institute (Abu Dhabi).

Tim Curryمشاهده پروفایل

استادیار

• Optimization
• Cybersecurity
• Computer Science
• +۲ مورد دیگر

Tim Curry is an Assistant Professor at the University of Connecticut (Storrs Campus). His research focuses on Optimization and Cybersecurity , particularly in network systems and computational methods. Recent research trends include: Developing hybrid optimization frameworks for secure virtualized networks Advancing constraint programming applications in cybersecurity Designing dynamic configuration algorithms for Software-Defined Networks (SDN) Integrating attack graph analysis with network defense strategies His work intersects Computer Science , Network Engineering , and Operations Research , with publications emphasizing formal verification, algorithm design, and security automation in networked systems.

Joshua Dehlingerمشاهده پروفایل

دانشیار

• Software Engineering
• Requirements Engineering
• Software Safety
• +۳ مورد دیگر

Joshua Dehlinger is an Associate Professor in the Department of Computer and Information Sciences at Towson University's Fisher College of Science and Mathematics. He holds a Ph.D. in Computer Science from Iowa State University and previously served as a Research Associate at the University of Virginia. Dehlinger's research focuses on software engineering methodologies, including requirements engineering, software safety assurance, and product line engineering. He has developed research tools including SSVChecker for vulnerability analysis and PLFaultCAT for fault tree analysis in safety-critical systems. His teaching includes Software Engineering, Software Testing and Maintenance, Mobile Application Development, and coordination of the department's internship program. Dehlinger has secured multiple NSF grants including funding for revitalizing computer science curricula and scholarship programs.

Abdussalam Salamaمشاهده پروفایل

مدرس

• Network Security
• IoT Security
• Cloud Security
• +۴ مورد دیگر

Dr. Abdussalam Salama is a Lecturer in Computer Networks and Cybersecurity at Sheffield Hallam University's School of Computing and Digital Technologies. He holds a PhD in Computer and Communication Networks (2020) and industry certifications such as CCNP and CCSP. His expertise spans network security, IoT security, cloud security, and Quality of Service (QoS) in wireless networks. He actively contributes to EU-funded projects like Digital Innovation for Growth (DIfG), focusing on SME digital transformation. Education: PhD in Computer and Communication Networks, Sheffield Hallam University (2020) MSc Telecommunication and Electronic Engineering, Sheffield Hallam University (2015) BSc Electrical and Electronic Engineering, University of Tripoli (2001) Research Interests: Network security, IoT security, cloud security, QoS/QoE optimization, Software-Defined Networks (SDN), and eHealth applications. He leads projects on SASE/SD-WAN for SMEs and adaptive eHealth systems. Collaborations: EU-funded Digital Innovation for Growth (DIfG) project Rotherham Foundation Trust - NHS for eHealth applications Awards: Fellow of the Higher Education Academy (FHEA) Member of the Institute of Engineering and Technology (MIET) Grants/Postgraduate Supervision: Supervises doctoral researchers in network security, cloud computing, and SASE architectures. Manages projects funded by EU initiatives and industry partnerships. Labs/Teams: Member of RIKE and ERCIF groups, collaborating on applied research and industry partnerships.

Jeremy Bradburyمشاهده پروفایل

دانشیار

• Software Engineering
• Software Quality Assurance
• Testing and Analysis
• +۷ مورد دیگر

Jeremy Bradbury is an Associate Professor in the Faculty of Science at Ontario Tech University, where he has served as Undergraduate and Graduate Program Director for Computer Science and as a member of the Board of Governors. His research focuses on software testing, analysis, and quality assurance, with a particular emphasis on human-centered approaches, empirical methodologies, and concurrency issues in software systems. He leads the Software Quality Research Lab (SQRLab) and develops tools like PIE for visualizing software design patterns and GidgetML for adaptive educational gaming. Education: PhD in Computer Science from Queen's University (2007). Research interests include software visualization, open-source software analysis, flaky test detection, and the application of machine learning to software engineering challenges. His work spans both academic contributions (e.g., combinatorial testing frameworks) and practical innovations like the Run, Llama, Run game for computational thinking education. Recent work explores AI-driven bug prediction, data augmentation bias in ML models, and cybersecurity for connected autonomous vehicles. He has organized workshops on testing configurable systems (ToCaMS) and challenges in parallel computing.

Holger H. Hoosمشاهده پروفایل

استاد

• Algorithmics
• Bioinformatics
• Computational Intelligence
• +۹ مورد دیگر

Holger H. Hoos is a Professor at the University of British Columbia's Computer Science Department, affiliated with the Institute for Computational Intelligence and Cognitive Systems (ICICS) and the Peter-Wall Institute for Advanced Studies. As of 2017, his primary affiliation shifted to Leiden University (Netherlands), though he remains connected to UBC. His research focuses on algorithmics, bioinformatics, computational intelligence, and computer music, with significant contributions to stochastic local search, empirical algorithmics, and SAT solving. Education: Ph.D. (Dr.rer.nat) in Computer Science from TU Darmstadt (1998), postdoctoral fellow at UBC. He has led the BETA Lab and SALIERI Project, exploring biomolecular structure prediction and music algorithms. Research interests span stochastic algorithms, RNA structure prediction, automated algorithm configuration, and interdisciplinary applications like flow cytometry analysis. His work bridges theoretical foundations with empirical methods, emphasizing practical problem-solving. Awards include the AAAI Fellowship, multiple best paper awards (GECCO 2020, IJCAI-JAIR 2010), and leadership roles in conferences like AAAI and LION. He has advised over 30 students, contributing to impactful projects in bioinformatics and AI. Labs/Teams: Founder of the BETA Lab (Bioinformatics, Theoretical and Empirical Algorithms), member of the Laboratory for Computational Intelligence (LCI), and collaborator on SALIERI (Computer Music).

Arash Shaghaghiمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Internet of Things (IoT) Security
• Zero Trust Architecture
• +۴ مورد دیگر

Arash Shaghaghi is a Senior Lecturer in Cyber Security and Acting Director of Online Education at the School of Computer Science and Engineering (CSE) at UNSW Sydney. Previously affiliated with RMIT University, Deakin University, Data61 CSIRO, The University of Melbourne, and The University of Texas at Dallas, he holds a PhD in Computer Science and Engineering from UNSW Sydney, an MSc in Information Security from University College London, and a BSc with Distinction from Heriot-Watt University. His research spans cybersecurity with emphasis on IoT security, zero trust architecture, blockchain applications, and posthumous data management. With over 1.7 million AUD in research funding as Lead CI/CI, his work addresses critical challenges in intelligent transport systems, quantum-safe security, and digital legacy solutions. He serves as Associate Editor for the Journal of Ad Hoc Networks and reviews for top conferences including NDSS and IEEE S&P. His 15 most recent publications demonstrate expertise in IoT security frameworks, digital will solutions, encrypted traffic analysis, and vulnerability prediction models. These works appear in premier venues like IEEE TDSC, IEEE S&P, and ACM WWW, reflecting his leadership in solving practical security challenges for emerging technologies. Early Career Academic Excellence Award (Research), UNSW Engineering, 2024 Educational Excellence & Innovation Award, UNSW Engineering, 2023 Heidelberg Laureate Forum Selection (Top 200 young scientists), 2023 Best Demo Award, IEEE LCN Conference, 2020 As an award-winning educator, Shaghaghi leads UNSW's Master of Cyber Security online programs and previously directed Deakin University's Graduate Certificate in Information Technology. His research team includes postdocs, software developers, and 3 current PhD students. He actively engages with media outlets including ABC and The Guardian on cybersecurity topics, particularly digital legacy management and IoT security.