جست‌وجوی استاد و پژوهشگر

• Internet of Things (IoT)
• Telecommunications
• Coding and Information Theory
• +۵ مورد دیگر

Associate Professor Mahyar Shirvanimoghaddam is a distinguished academic at The University of Sydney's School of Electrical & Computer Engineering, specializing in IoT, Telecommunications, and Coding Theory. His research focuses on 6G communication strategies, ultra-reliable low-latency systems, and machine learning integration in wireless networks. He holds a PhD from The University of Sydney and has received multiple accolades, including the World Economic Forum's Young Scientist award (2018) and the Australian Award for University Teaching (2020). Education: B.Sc. (1st Class Honors) in Electrical Engineering, University of Tehran (2008) M.Sc. (1st Class Honors) in Electrical Engineering, Sharif University of Technology (2010) PhD in Electrical Engineering (Telecommunications), The University of Sydney (2015) Research Interests: IoT Communication Protocols, Rateless Coding, Non-Orthogonal Multiple Access (NOMA), 5G/6G Technologies, and Federated Learning in Wireless Networks. His work on channel coding for massive IoT and URLLC has been funded by ARC Discovery Projects and European Research Council grants. He pioneered the 'Idea Factory' interdisciplinary teaching project, blending engineering and business education. Key projects include designing 6G communication strategies (ARC 2022-2024) and robust coding for mission-critical communications (ARC 2019-2021). Awards: Over 20 awards, including teaching excellence (Vice-Chancellor's Awards 2019, 2022), research recognition (IEEE Best Paper Awards), and leadership roles in IEEE and the Higher Education Academy. He supervises 1 PhD student (Tyseer BASHIR) and actively engages in editorial roles for IEEE Transactions and other journals. His team's innovations aim to bridge technological and societal challenges in IoT and smart infrastructure.

Aryan Kaushikمشاهده پروفایل

دانشیار

• Signal Processing
• 5G/6G Wireless Communications
• Integrated Sensing and Communications
• +۷ مورد دیگر

Dr. Aryan Kaushik is an Associate Professor at Manchester Metropolitan University (Manchester Met), UK, since 2024, affiliated with the Department of Computing and Mathematics. He also serves as Chief Advisor at RakFort, Ireland, since 2025. Previously, he was an Assistant Professor (senior grade) at the University of Sussex, UK, from 2021-24, and held roles as Recruitment and Admissions Tutor and Academic Advisor there. His academic journey includes a Research Fellow position at University College London (2020-21), and a PhD in Communications Engineering from the University of Edinburgh (2019). He holds an MSc in Telecommunications from the Hong Kong University of Science and Technology (2015). Education: PhD in Communications Engineering, University of Edinburgh (2019) MSc in Telecommunications, Hong Kong University of Science and Technology (2015) Professional Roles: Chair of IEEE ComSoc ETI on Electromagnetic Signal and Information Theory (since 2024) Core Member of IEEE P1955 Standard on 6G-Empowering Robotics Editorial roles across multiple IEEE journals and conferences His research focuses on 5G/6G wireless communications , integrated sensing and communications , reconfigurable holographic surfaces , non-terrestrial networks , and AI-driven network optimization . He has led UKRI-funded projects on topics like AI-assisted ISAC and Net Zero 6G, and collaborates globally with institutions like IIIT-Delhi, University of Bologna, and Imperial College London. Dr. Kaushik has received awards including the Top Editor Award 2025 (IEEE IoT Magazine), Best Editor Awards 2023-2024 (IEEE Open Journal), and was shortlisted for teaching excellence awards at Sussex. He actively contributes to standardization, serves on over 14 IEEE conference committees, and has delivered 110+ keynote/tutorial talks worldwide. His leadership extends to roles like TPC Co-Chair at IEEE ICC 2025 and Chair of Special Interest Groups on AI-driven Non-Terrestrial Networks and Fluid Antenna Systems.

Eric Gamessمشاهده پروفایل

دانشیار

• Network Performance Evaluation
• IPv6
• Cybersecurity
• +۴ مورد دیگر

Eric Gamess is an Associate Professor in the Department of Mathematical, Computing, and Information Sciences at Jacksonville State University (JSU), Alabama. He holds a Ph.D. in Computer Science from the Central University of Venezuela (2000), an M.Sc. in Industrial Computing from INSA Toulouse (1989), and an Engineering Degree in Automatics, Computer Science, and Electronics from the same institution (1989). His academic career spans roles at universities in South America and the U.S., including Universidad del Valle (Colombia) and the University of Puerto Rico. Dr. Gamess specializes in network performance evaluation, cybersecurity, vehicular networking, and IoT. He has authored over 80 publications, edited 27 conference proceedings, and directs the Venezuelan Journal of Computing. His leadership roles include Vice-President of the Venezuelan Society of Computing and steering committee member of the ACM Southeast Conference. At JSU, he leads the Center of Academic Excellence in Cyber Defense Education (CAE-CD) and coordinates the Master of Science in Computer Systems and Software Design (CSSD) program. His research emphasizes network simulation, IPv6, and embedded systems performance (e.g., Raspberry Pi). Recent work explores containerization technologies, MQTT resilience, and IoT protocol optimizations. He teaches courses ranging from programming fundamentals to advanced cybersecurity and networking.

Michael Hamمشاهده پروفایل

دانشیار

• Cybersecurity
• Cyber Operations
• Malware Analysis
• +۵ مورد دیگر

Dr. Michael Ham is an Associate Professor and Coordinator for Cyber Operations Initiatives at Dakota State University's Beacom College of Computer & Cyber Sciences. He leads the NSA-designated Center of Academic Excellence in Cyber Operations (CAE-CO) and oversees DSU's Cyber Operations bachelor's program and Ethical Hacking Certificate. His roles include teaching advanced cybersecurity courses, advising doctoral students, and coordinating cyber events like DakotaCon and GenCyber camps. Education: All degrees from Dakota State University — D.Sc. in Cybersecurity (202X), M.S. (20XX), and B.S. (20XX). Research focuses on cybersecurity education, penetration testing, malware analysis, and developing experiential learning tools. Key projects include open-source platforms for hardware reverse engineering and wireless security training using software-defined radios. He emphasizes cyber hygiene practices and offensive security principles in both teaching and industry consulting. Grants highlight his leadership in addressing cybersecurity workforce shortages, including NSF CyberCorps SFS programs (PI), GenCyber camps (Co-PI), and DoD scholarships. Recent publications address ransomware prevention, X.509 certificate validation, and pandemic-era ICT systems. Dr. Ham also serves as an independent security consultant, advising on infrastructure security, vulnerability remediation, and policy development for organizations. His work bridges academia and industry through practical, hands-on cybersecurity education and tool development.

• Cyber Security
• Cryptography
• Steganography
• +۶ مورد دیگر

Rainer Böhme is a Professor at the University of Münster, Germany. His research focuses on cyber security, cryptography, steganography, digital forensics, and blockchain technology. He has made significant contributions to understanding cyber risk quantification, central bank digital currencies (CBDCs), and the socio-technical challenges in cryptocurrency systems. Key areas of research include steganalysis (analysis of hidden data in digital media), forensic techniques for neural network inference pipelines, and the economic implications of cyber insurance. He actively contributes to conferences like the Financial Cryptography Workshops (FC) and the Workshop on Information Hiding and Multimedia Security (IH). Böhme's work bridges theory and practice, addressing real-world issues such as privacy in CBDCs, adversarial attacks on AI systems, and the role of law enforcement in cryptocurrency markets. His recent studies explore the security implications of image orientation in JPEG files and the detection of privileged parties in blockchain transactions. He has collaborated with institutions like the University of Vienna and ETH Zurich, and his research has been published in top-tier venues such as IEEE Transactions on Information Forensics and Security and the ACM Conference on Computer and Communications Security (CCS).

• Nursing Education
• Maternal and Newborn Health
• Women’s Health
• +۳ مورد دیگر

Valerie O’Dell is a Professor of Nursing at Youngstown State University (YSU). She holds a Doctor of Nursing Practice (DNP) from Case Western Reserve University (2009), a Master of Science in Nursing (MSN) from Kent State University (1993), and a Bachelor of Science in Nursing (BSN) from YSU (1985). With over 25 years of teaching experience, she currently directs YSU’s MSN program and serves on the YSU/Community Nurse Advisory Council and Sigma Theta Tau International Honor Society. Her research focuses on maternal-newborn care, nursing education, and evidence-based practice. Dr. O’Dell has received prestigious awards including the BCHHS Research Award (2019) and Excellence in Leadership (2017). She has also participated in the Nurses’ Health Study II for 30 years. Her teaching emphasizes critical thinking in nursing care, evidence-based practice, and addressing nursing workforce challenges. She has secured grants totaling over $170,000 from the Health Resources and Services Administration (HRSA) for nurse anesthetist traineeships. Her career highlights include 10 years as a Clinical Nurse at St. Joseph Health Center, leadership in nursing education programs, and contributions to nursing textbooks. She advocates for nursing leadership, workforce retention, and respect for nursing’s role in healthcare.

• Cybersecurity
• Machine Learning
• Data Analytics
• +۵ مورد دیگر

Dr Zhiyuan (Thomas) Tan is an Associate Professor at Edinburgh Napier University’s School of Computing, Engineering and the Built Environment . He is internationally recognised for his cybersecurity research and has been listed among Stanford University’s Top 2% Scientists for 2021–2023. Education BEng (2005) with high distinction – North-eastern University, China MEng (2008) – Beijing University of Technology, China PhD in Computer Systems (2014) – University of Technology Sydney, Australia Research Interests Dr Tan’s research integrates cybersecurity with machine learning and data analytics. His core areas include: Intrusion detection and defence of critical service systems Adversarial machine learning for malware and anomaly detection Virtualisation security through non-parametric behaviour modelling IoT and vehicular network security—cloud/edge/cloudlet frameworks Privacy-preserving AI and federated machine unlearning Smart-city digital forensics and cyber-physical system resilience Research Output Trends His recent articles (2020–2025) reveal a strong focus on federated learning, edge & mobile computing, UAV coordination, and AI-driven security. Topics span advanced steganography, metamorphic malware, graph injection attacks, and trustworthiness in vehicular platoons, all anchored in real-world IoT and transportation applications. Awards & Distinctions Stanford University Top 2% Scientists List (2021, 2022, 2023) National Research Award 2017 – Research Council of the Sultanate of Oman Best Paper Awards (three instances) Kaspersky Lab Student Cyber Security Conference – Finalist Award SICSA Supervisor of the Year 2019 – Honourable Mention Grants & Leadership Dr Tan has attracted over £200k in external funding including: Carnegie Trust (£73,564) – Federated Machine Unlearning ENU Development Trust (£29,998) – Machine Unlearning Royal Society (£12,000) – VANET Security & Privacy SICSA & other awards for MemoryCrypt, AI Secrets, behaviour biometrics, and visiting-fellow schemes. Supervision & Mentoring Since 2013 he has supervised or co-supervised 16 doctoral candidates and several master’s students; six PhDs have successfully graduated. Roles range from Director of Studies to additional supervisor across diverse topics from malware evolution to VR olfactory interfaces. Research Groups & Collaboration He is affiliated with the Centre for Artificial Intelligence and Robotics , the Centre for Distributed Computing, Networking and Security , and the Centre for Cybersecurity, IoT and Cyber-physical Systems at ENU, fostering interdisciplinary collaboration with national and international partners.

Danielle Sulikowskiمشاهده پروفایل

مدرس ارشد

• Comparative Cognition
• Cognition
• Behavioral Ecology
• +۶ مورد دیگر

Danielle Sulikowski is a Senior Lecturer and Associate Head of School in the School of Psychology at Charles Sturt University (Bathurst Campus). She holds a PhD from Macquarie University (2010), a BSc(Hons) from Macquarie University (2005), and a BSc from the University of New England (2003). Her research focuses on comparative cognition, integrating psychology, behavioral ecology, and evolutionary principles to study spatial cognition, attractiveness, visual attention, and lateralization in humans and animals like noisy miners. Her teaching responsibilities include PSY201 (Research Methods and Statistics in Psychology) and PSY307 (Cognition), delivered both internally and via distance learning. Key research interests span cognition, learning, perception, biopsychology, and evolutionary psychology, with projects involving human subjects and avian species. She maintains a research laboratory website for her comparative cognition work. Recent publications explore topics ranging from dark personalities in online behavior to facial symmetry studies and evolutionary mate strategies. Her work frequently bridges traditional psychology with ecological and evolutionary frameworks, emphasizing adaptive cognitive mechanisms in foraging and social behavior. No scientific awards are explicitly mentioned, though her extensive publication record reflects significant academic contribution. Teaching and advisory roles include no listed students, but her research engages with broader societal issues like domestic violence policy implications and digital media effects.

Sara Nieves Matheu Garciaمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Information Security
• +۳ مورد دیگر

Sara Nieves Matheu García is an Assistant Professor at the Department of Information and Communication Engineering within the Faculty of Informatics at the University of Murcia. Her research focuses on cybersecurity, IoT security, and trust frameworks in smart systems. She holds a Ph.D. from the University of Murcia, completed in 2020, where her thesis addressed methodologies for IoT device security evaluation under the supervision of Dr. José Luis Hernández Ramos and Dr. Antonio Skarmeta Gómez. Her research group, Intelligent Systems and Telematics, explores innovative solutions for IoT security lifecycle management, blockchain-based certification systems, and risk-based evaluation methodologies. Notable contributions include the CERTIFY framework for IoT lifecycle security and the BIECO framework for ICT ecosystems. Her work emphasizes practical applications in smart grids, smart cities, and healthcare systems. Recent publications highlight advancements in federated cyberattack detection, MUD standard integration, and liability management in 5G architectures. While no specific awards or grants are listed, her extensive scholarly output reflects active engagement with cybersecurity challenges in IoT and critical infrastructure. Her academic contributions span theoretical frameworks, testing methodologies, and collaborative tools for enhancing IoT security. The research group collaborates across disciplines to address real-world cybersecurity threats in dynamic network environments.

Danny Dolevمشاهده پروفایل

استاد

• Distributed Computing
• Fault-Tolerant Systems
• Algorithms
• +۴ مورد دیگر

Prof. Danny Dolev is a distinguished academic holding the Berthold Badler Chair in Computer Science at The Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering. He is an ACM Fellow and IEEE Fellow. His research focuses on distributed computing, fault-tolerant systems, algorithms, and secure protocols. He has held leadership roles, including Director of his school (1999–2002) and Chair of the Israeli National Committee for Information Technology (1994–1998). Education: B.Sc., The Hebrew University of Jerusalem, 1971 M.Sc., Weizmann Institute of Science, 1973 PhD., Weizmann Institute of Science, 1979 Research Interests: Danny Dolev's work spans distributed algorithms, Byzantine fault tolerance, consensus protocols, and hardware algorithms. His contributions include groundbreaking research on self-stabilizing systems, secure communication, and fault-tolerant clock synchronization. His HEX and Chronos protocols exemplify innovations in scalable synchronization and network security. Publications: His recent work emphasizes Byzantine agreement, asynchronous fault tolerance, and game-theoretic distributed systems. Key papers address optimal resilience in consensus algorithms and secure multi-party computation. Awards: ACM Fellow (2010) IEEE Fellow (2004) Grants & Leadership: Member of the Scientific Council, European Research Council (2010–2014) Chair of Israel's National Committee for Information Technology (1994–1998) Leadership roles at IBM Almaden Research Center (1987–1993) and Stanford University (1979–1981) Labs & Teams: His research group at Hebrew University focuses on distributed systems, with collaborations on projects like Steward (wide-area Byzantine replication) and Self-Stabilizing Circuits .

Théo Winterhalterمشاهده پروفایل

پژوهشگر

• Formal Methods
• Type Theory
• Proof Assistants
• +۳ مورد دیگر

Dr. Théo Winterhalter is a researcher at the Deducteam within INRIA Saclay and the Laboratoire de Méthodes Formelles (LMF) at École Normale Supérieure Paris-Saclay. Previously, he held a postdoctoral position at the Max Planck Institute for Security and Privacy (MPI-SP) in Bochum, Germany. He completed his PhD in computer science at the University of Nantes under the supervision of Nicolas Tabareau and Matthieu Sozeau, focusing on the formalization and meta-theory of type theory. His research centers on proof assistants, particularly Coq, and involves advancing formal methods for security, type systems, and dependent type theory. Winterhalter's work includes contributions to the MetaCoq project, enabling meta-programming and formal reasoning about Coq itself. He is also involved in developing verified cryptographic frameworks like SSProve and SecRef*, ensuring secure integration of verified and unverified code. His educational background includes a PhD in type theory and prior work in cryptographic algorithms, such as randomized scalar multiplication. He actively participates in academic communities, serving on program committees for ICFP, TYPES, and POPL. His teaching includes co-teaching the MPRI course on proof assistants with Yannick Forster. Supervision activities include PhD student Yann Leray and multiple interns focusing on Coq extensions and formal verification.

• Disability Studies
• Social Justice
• Artificial Intelligence and Disability
• +۵ مورد دیگر

Professor Karen Soldatic is a leading academic in the School of Social Sciences at Western Sydney University, specializing in disability studies, social justice, and intersectional analysis. Her work critically examines the intersections of disability, migration, Indigenous rights, and digital technology within Global South contexts. Her research interests focus on Disability Studies , Social Justice , Artificial Intelligence and Disability , Indigenous Rights , and Migration Studies . Through participatory methodologies, she investigates how digital systems, welfare policies, and social structures create barriers for marginalized communities, particularly women with disabilities in low-income countries and Indigenous populations in Australia. Analysis of her recent publications reveals a strong emphasis on technology-facilitated violence against women with disabilities , digital inclusion frameworks , and intersectional resistance strategies . Her work consistently bridges academic theory with community action, focusing on practical interventions for systemic change. Professor Soldatic has secured significant research funding through projects including Walking my path: NSW Indigenous LGBTIQ+ peoples' experiences & aspirations (2023-2027) and Environmental Stewardship Resurgence in Walbanga Land . Her community engagement includes membership in the Australian Sociological Association and Diversty Arts Australia. Her academic contributions include 181 research outputs, 14 major projects, and active supervision of HDR candidates. She holds a PhD from the University of Western Australia and maintains strong connections with disability advocacy organizations including the Australian Federation of Disability Organisations.

Shivanjali Khareمشاهده پروفایل

استادیار

• Internet of Things (IoT) Data Security
• Hybrid Cryptography
• Wireless Sensor Technologies
• +۳ مورد دیگر

Dr. Shivanjali Khare is an Assistant Professor in the Computer Science department at the University of New Haven, affiliated with the Tagliatela College of Engineering. She leads the SARI (Security and ARtificial Intelligence) Research Lab and teaches courses in Artificial Intelligence and Data Mining. Her research focuses on enhancing cybersecurity through hybrid cryptography, IoT data security, machine learning, and wireless sensor technologies to empower user protection in the digital age. Education: Ph.D. and M.S. in Computer Science from the University of Louisiana at Lafayette (2021 and 2016, respectively). Research Interests: IoT Data Security Hybrid Cryptography Systems Wireless Sensor Networks Big Data Sharing Mechanisms AI-Driven Cybersecurity Solutions Publications highlight contributions in IoT security protocols, cryptographic algorithm optimization, and machine learning applications. Notable work includes energy-efficient secure IoT drone systems (ESIoD) and ensemble learning for anomaly detection in smart homes. Recent outreach includes conducting cybersecurity seminars for senior citizens through the New Haven Free Public Library, demonstrating her commitment to societal impact and public education.

Kamal Donkoمشاهده پروفایل

پژوهشگر

• Political Geography
• Migration Studies
• (Forced)Im/mobilities
• +۳ مورد دیگر

Dr. Kamal Donko is a Researcher at LASDEL Benin and affiliated with the University of Bayreuth's Department of Political Geography within the Faculty of Biology, Chemistry & Earth Sciences. His research focuses on migration studies, border dynamics, and conflict resolution in West Africa, particularly addressing terrorism, resource conflicts, and EU-Africa policy intersections. Education includes a PhD in Political Geography (2020) from the University of Bayreuth, an MA in Culture & Environment in Africa (2011) from Cologne, and a Sociology-Anthropology BA (2008) from Université d’Abomey-Calavi. Professional experience spans roles as a post-doctoral researcher on migration control, crisis prevention expert with the German Federal Foreign Office, and senior researcher on migrant entrepreneurship. His work emphasizes borderland geographies, EU externalization policies, and the socio-economic impacts of migration infrastructure. Key publications analyze Sahel border dynamics, ECOWAS free movement challenges, and terrorism's regional effects. He actively contributes to workshops on migration, security, and governance in West Africa.

Ahmed Sherifمشاهده پروفایل

دانشیار

• Cybersecurity
• Cryptography
• Autonomous Vehicles
• +۲ مورد دیگر

Ahmed Sherif is an Associate Professor specializing in cybersecurity and privacy-preserving systems, likely affiliated with the University of Southern Mississippi. He holds a Ph.D. from Tennessee Technological University (2017) and M.S. from Egypt Japan University of Science & Technology (2014). His research focuses on cryptographic solutions for autonomous vehicles, IoT networks, and smart grid security. Research interests span privacy-preserving systems across transportation and critical infrastructure, with emphasis on authentication protocols and hardware security. Teaches courses including Digital Logic, Network Security, and Advanced Security Techniques. Publications show strong focus on privacy engineering in emerging technologies (2021-2025), particularly in vehicular/drone networks and medical AI. No awards listed. Research includes federated learning for medical diagnosis and hardware-accelerated security frameworks.