Find Academic Supervisors

Roberto MetereView profile

Lecturer

• Cyber Security and Privacy
• Cryptography
• Provable security
• +8 more

Dr. Roberto Metere is a Lecturer in Cyber Security and Privacy within the Department of Computer Science at the University of York. His research focuses on formal verification of security properties for cryptographic constructions, with applications in cyber-physical systems and 5G/6G security . Expertise in formal verification via computational/symbolic models Current work on cybersecurity in active buildings and post-quantum threats Academic services: Program Committee member for SEC@SAC, ESORICS, and WISE-2024 Collaborator on multi-university projects including ABC and e4Future Developed ProVerif syntax highlight tools and educational resources Research Analysis: His publications emphasize security mechanization in protocols across multiple domains including vehicle-to-grid systems, smart buildings, and wireless network standards. While specific titles aren't always provided in the scraped content, his work consistently bridges cryptography with real-world cybersecurity implementation . Academic Contributions: Though no explicit scientific awards are listed, his role as Designated Expert for 802.11 security patches and Guest Editor for the Energies special issue on smart grid security demonstrate industry-standard technical authority.

David EvansView profile

Lecturer

• Community-engaged learning
• Urban design
• Landscape architecture pedagogy
• +5 more

David Evans is a Lecturer in the Department of Landscape Architecture and Environmental Planning at Utah State University's College of Agriculture and Applied Science. A registered Landscape Architect in California with over 37 years of professional experience, he joined academia in 2012 to focus on teaching and community-engaged design. His work bridges practical landscape architecture with pedagogical innovation, emphasizing career counseling and sustainable urban design. Education: Urban Design (University of California, Berkeley, 1998), Landscape Architecture (Conway School of Landscape Design, 1976) His research explores community-engaged learning, landscape urbanism, and design-build education models. Recent work integrates eye-tracking technology with virtual environments to study human-environment interactions. Evans has received multiple teaching awards, including the 2020 NACTA Teaching Award of Merit and multiple LAEP Faculty of the Year recognitions. Key Scientific Contributions: 2024-2025 research on STI testing platforms and VR-based visual assessment tools Legacy: Founder of the Community Design Team (2012-present), emphasizing democratic dialogue in urban planning

Christopher DePernoView profile

Professor

• Wildlife Management
• Snake Ecology
• Urban Wildlife Conservation
• +2 more

Christopher DePerno is a Professor in the Department of Applied Ecology at North Carolina State University . His work focuses on wildlife management, conservation biology, and disease ecology in wild mammals, particularly black bears, river otters, and urban wildlife. Recent publications highlight his expertise in: Snake identification and taxonomy in North Carolina Zoonotic disease surveillance (e.g., Trypanosoma cruzi , Toxoplasma gondii ) Population genetics of black bears using UrsaPlex v2.0 Human-wildlife conflict mitigation in urban environments His research intersects with: Fire ecology impacts on avian species Antimicrobial resistance patterns in wildlife Chemical restraint protocols for carnivores Genomic analysis of pathogens in wild populations DePerno's work appears in extension publications and peer-reviewed journals, often collaborating with wildlife veterinarians, ecologists, and conservation practitioners.

Marcin MarkowskiView profile

Researcher

• Computer Network Design
• Computer Network Optimization
• IT System Security
• +7 more

Dr. Eng. Marcin Markowski is a researcher at the Department of Computer Systems and Networks, Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology. His work focuses on computer network design, optimization, and security, with an emphasis on cloud computing, elastic optical networks, and distributed systems. Faculty: Computer Science and Telecommunications Department: Computer Systems and Networks Email: marcin.markowski@pwr.edu.pl His research spans network optimization algorithms (ant colony, tabu search), industrial IoT applications, and security protocols. Articles demonstrate expertise in WAN-based resource allocation, SDN laboratory development, and sustainable logistics through WiFi-based monitoring systems. Key trends in his publications include heuristic methods for elastic optical networks, multi-criteria replica placement in wide area networks, and cloud computing efficiency analysis. He integrates algorithmic innovation with practical applications in industrial and telemedicine contexts. The Software Defined Networking Research Laboratory at WUST features prominently in his experimental work on network topologies and scenarios. No explicit information is available on teaching roles, awards, or grants.

• Human Performance Engineering
• General Systems Performance Theory (GSPT)
• Biomedical Instrumentation
• +5 more

George Vincent Kondraske is a Research Professor in Electrical Engineering and Bioengineering at the University of Texas at Arlington (UTA), where he has served since 1982. He is also the founding director of UTA’s Human Performance Institute and holds adjunct roles at multiple institutions. His expertise spans human performance measurement, biomedical instrumentation, and systems engineering. Education: PhD (1982), MS (1980), and BS (1978) in Biomedical/Electrical Engineering from UTA/UT Southwestern and University of Rochester. Affiliations: Texas Center for Performing Arts Medicine, Human Performance Measurement, Inc., and multiple medical centers. Research focuses on General Systems Performance Theory (GSPT), predictive analytics, and web-based tools like RC21X for cognitive/neuromotor assessment. His work is supported by NIH, NASA, and industry grants totaling over $2M. He has authored 250+ publications and holds several patents. Key contributions include the Elemental Resource Model (ERM) for human performance and Nonlinear Causal Resource Analysis (NCRA). Awards include the IEEE Early Career Award and Becton-Dickinson Career Achievement Award. Grants span robotics, laparoscopic surgery, and athlete performance. He advises on human-system integration and has pioneered wearable sensors for medical applications. Labs/teams include the Human Performance Institute and collaborations with UNT School of Music and Presbyterian Hospital labs.

Robert HeckendornView profile

Associate Professor

• Machine Learning
• Evolutionary Computation
• Robotics
• +4 more

Robert Heckendorn, Ph.D., is an Associate Professor in the Department of Computer Science at the University of Idaho, part of the College of Engineering. His research interests span machine learning, evolutionary computation, robotics, optimization algorithms, computational biology, and transportation systems. He holds a Ph.D. and has contributed extensively to interdisciplinary areas such as autonomous systems, traffic simulation, and bio-inspired algorithms. His work often bridges theoretical foundations with practical applications, including developing high-fidelity traffic modeling tools, optimizing manufacturing processes, and advancing robotic control strategies. Notable contributions include neuroevolution techniques for crowd behavior prediction and fuzzy logic-based crowd management systems. He also explores evolutionary algorithms in biological fitness landscapes and disaster management scenarios. He has authored over 50 publications since 1997, focusing on algorithmic efficiency, population diversity in evolutionary systems, and multi-agent coordination. His research has implications for smart cities, healthcare, and autonomous vehicle technologies. Despite no listed awards here, his prolific output underscores his impactful contributions to computer science and engineering. As an educator, he contributes to curriculum development in computational thinking and web-based learning systems (e.g., vTutor platform). His lab likely focuses on real-world problem-solving through computational methods, though specific lab names aren’t mentioned. Collaborations with industry and interdisciplinary teams are implied through his research topics like connected-vehicle systems and cancer modeling via cellular automata.

• Forensic Science
• Fingerprint Analysis
• Nanoparticle Applications in Forensics
• +3 more

Sebastien Moret is a Senior Lecturer in Forensic Science at the College of Science and Engineering, Charles Darwin University. His work focuses on advancing fingerprint detection methodologies and forensic document analysis, with a particular emphasis on nanoparticle applications and evidence reliability. Key Research Areas: Latent fingermark detection, nanoparticle functionalization, forensic profiling of fraudulent documents, and biodegradable material impacts on evidence recovery. Recent Contributions: Innovations in powder suspension formulations, synthetic secretions for controlled studies, and novel applications of silicon oxide and upconverting nanoparticles for fingerprint visualization. Collaborative Networks: Regularly collaborates with Scott Chadwick, Xanthe Spindler, Chris Lennard, and Claude Roux on forensic chemistry projects. Scientific Output Trends: Over the past decade, Moret has published extensively in Forensic Science International and related journals, addressing challenges in evidence standardization, non-destructive detection techniques, and forensic intelligence applications.

• Network Security
• Web Application Security
• Security Software Development
• +4 more

Dr. John Haggerty is a Senior Lecturer in Cyber Security at Sheffield Hallam University, affiliated with the School of Computing and Digital Technologies within the College of Business, Technology and Engineering. His research focuses on network and web application security, security software development, and visual analytics, with an emphasis on integrating technical expertise with information security management frameworks like ISO 27001 and NIST. He holds qualifications including a BA (Hons), MSc, PhD, and is a Fellow of the Higher Education Academy (FHEA). His teaching includes Advanced Penetration Testing (Level 6) and Web Applications and E-Commerce Security (Level 7) courses. Contact details are listed on the university's official page.

Setareh Jalali GhazaaniView profile

Lecturer

• Cyber Security
• Data Mining in Cyber Security
• Information Security Management
• +3 more

Setareh Jalali Ghazaani is a Lecturer in Cyber Security at Sheffield Hallam University’s School of Computing and Digital Technologies, part of the College of Business, Technology and Engineering. She concurrently serves as the Academic Lead for Cyber Security projects at Digital Innovation For Growth (DIFG) and leads EU-funded Cyber Security awareness initiatives. Her work bridges academia and industry through active participation in clusters like NEBRC, YCSC, and EMIC. She holds a BSc in Computer Engineering and an MSc in Cyber Security from Sheffield Hallam University. Her research focuses on applying data mining techniques to cyber security challenges, information security management for SMEs, and automating penetration testing processes. Key areas include securing IoT devices, attacker profiling via classification algorithms, and vulnerability assessment of smart systems. Ghazaani is an ISO 27001 Lead Auditor (2021) and AWS Cloud Practitioner (2022), emphasizing practical industry alignment. She teaches modules such as Ethical Hacking, Web Application Security, and Information Security Principles at both undergraduate and postgraduate levels. Her postgraduate supervision spans smart system security, data mining in cyber defense, and penetration test automation research.

Tooska DargahiView profile

Senior Lecturer

• Cyber Security
• Privacy Protection
• User-Centric Security
• +4 more

Dr. Tooska Dargahi is a Senior Lecturer in Cyber Security and International Lead for the Department of Computing and Mathematics at Manchester Metropolitan University. Her research focuses on user-centric security, privacy, and IoT security. She has published over 50 peer-reviewed papers and leads IEEE's CPS-Sec workshop series. She held previous roles at the University of Salford, University of Rome Tor Vergata, and Azad University Tehran. Education: PhD in Computer Engineering (Network Security) from Azad University Tehran (2014). Postdoctoral Researcher at University of Rome Tor Vergata (2015-2017). Visiting Researcher at University of Padua (2014-2016). Lecturer at Azad University West Tehran (2009-2015). Research Interests: User privacy in smart devices, blockchain applications, cybersecurity for autonomous vehicles, and metaverse security. Her work emphasizes practical solutions for modern digital challenges, including frameworks for fintech and IoT resilience. Projects: Principal Investigator for Alan Turing Institute projects on Threat Analysis (2025) and Generative-AI for Healthcare Privacy (2025). Leadership in EU H2020 projects and InnovateUK initiatives, including PRIVEXTRACTOR (2021) and WalletFind (2021). Teaching & Advising: Supervises PhD students like Ahmed Abdullahi (AV security) and has examined PhD/MPhil candidates at Malardalen University, University of Warwick, and others.

Simon Haller-SeeberView profile

Lecturer

• Free Software
• System Automation
• Educational Robotics
• +4 more

Simon Haller-Seeber is a Systems Engineer at the Department of Computer Science (Intelligent and Interactive Systems) at the University of Innsbruck, a role he has held since 2010. He also serves as a part-time Lecturer in Scientific Computing and Science Education. His academic background includes a Master's degree in Computer Science (2024) and a Bachelor's degree (2006), alongside professional certifications like Engineer Degree (2012) and Apprentice Instructor (2014). Research & Education: Focused on Free Software, System Automation, and Educational Robotics. He co-founded the STAIR-Lab and contributed to initiatives like ROSSINI workshops promoting youth robotics innovation. His work bridges robotics with pedagogy, emphasizing open-source tools and accessible education platforms. Publications: Recent works include web-based robotics IDEs (2025), AI-driven training frameworks (2023), and taxonomies for robotics action models (2019). His 2020 paper on recycling automation won the ROBOVIS Best Paper Award. Grants & Projects: Led EU-funded projects like IMAGINE (2018–2021) and participated in Squirrel/PaCMan (2014–2018). Co-organizes RoboCup Junior and the Computer Camp Malbun. Awards & Roles: Recognized for educational robotics contributions. Active in academic governance as former Senate member and board chair of 'brainity' and 'Natur Mensch Technik' associations.

• Software Engineering
• Cybersecurity
• Machine Learning
• +7 more

Adnan Ashraf serves as a Senior University Lecturer at the Department of Information Technology within the Faculty of Science and Engineering at Åbo Akademi University, Finland. His academic profile spans software engineering, cybersecurity, and applied artificial intelligence with emphasis on maritime systems and drone technologies, supported by extensive EU and national research funding. His research portfolio demonstrates deep expertise in: Security frameworks for DevOps and IoT networks Machine learning applications in performance testing Edge computing optimization for resource-constrained environments Swarm robotics navigation and collision avoidance Systematic literature reviews in emerging software domains Analysis of his 46+ publications (2010-2024) reveals consistent focus on bridging theoretical models with practical implementations. Key trends include security enhancement through SDN controllers, reinforcement learning for UAV path planning, and systematic reviews of API documentation practices. His work consistently addresses real-world challenges in critical infrastructure domains with strong empirical validation. Dr. Ashraf has secured significant research funding including EU Horizon 2020 VeriDevOps (as Principal Investigator) and MegaM@Rt2 projects (as Co-Investigator), demonstrating leadership in collaborative research addressing DevOps security and runtime modeling challenges. While specific student supervision details aren't publicly enumerated, his project leadership indicates active mentorship in software engineering research.

Baba Shaheer GutappaView profile

Lecturer

• Cybersecurity
• Artificial Intelligence
• Network Security
• +2 more

Baba Shaheer Gutappa is a Lecturer at Northumbria University London Campus, teaching web/mobile security and network security. With 7+ years' experience from University of Nigeria, he integrates practical cybersecurity knowledge into curriculum, emphasizing ethical frameworks in penetration testing. Research explores AI-cybersecurity convergence, including threat detection algorithms and ethical implications of autonomous security systems. He holds a BSc in Electronics and Communication Engineering and MSc in Information Security. As an independent consultant since 2013, Gutappa has conducted seminars on ethical hacking for businesses and institutions. His teaching philosophy prioritizes hands-on lab sessions and real-world case studies to develop technical competencies.

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +3 more

Ruitao Feng is a Lecturer in IT (Cybersecurity) at the Faculty of Science and Engineering, Southern Cross University. He holds an adjunct role as a Research Fellow at Nanyang Technological University (Singapore). His expertise spans cybersecurity, software engineering, and AI-driven security solutions. He earned his Ph.D. in Computer Science from NTU (2016–2021) and a Bachelor’s degree from Tianjin University (2010–2014). His research focuses on security and quality assurance in software systems, particularly leveraging AI4Sec & SE for intrusion detection, malware analysis, and vulnerability detection. He actively collaborates with students and researchers to advance these fields. He teaches courses like DATA2001 Database Systems and INFO6002 Cybersecurity Essentials . Ruitao is recruiting self-motivated Ph.D. candidates with strong programming skills and seeks honors/minor thesis students from SCU. His work has been published in top-tier conferences/journals (CORE A/A*, CCF A) in computer security and software engineering.

• Software Engineering
• Cybersecurity
• Behavioral Biometrics
• +3 more

Dr. Daqing Hou is a Professor at Clarkson University's Coulter School of Engineering & Applied Sciences, affiliated with the Department of Electrical & Computer Engineering and Computer Science. His research bridges software engineering, cybersecurity, behavioral biometrics, and education research. He earned his Ph.D. in Computing Science from the University of Alberta, and M.S./B.S. in Computer Science from Peking University. Research focuses on improving software development efficiency through project-based learning (PjBL), empirical studies, and human factors. Key areas include behavioral biometrics (keystroke/mouse dynamics), smart housing/energy systems, and cybersecurity solutions. He has pioneered tools like CReN for managing code clones and has contributed to Eclipse/UIMA frameworks. Recent publications emphasize behavioral authentication methods, mobile biometrics evaluation, and framework design recommendations. His work has been recognized with awards including IEEE ICSME 2014 Best Paper Nomination and IBM Innovation Awards (2005/2007). Teaching spans software engineering, GUI design, databases, machine learning, and compilers. He advises students on topics like API usability, security systems, and programming language tools.