جست‌وجوی استاد و پژوهشگر

Brian Tompsettمشاهده پروفایل

مدرس

• Computer Science Education
• Cybersecurity
• Disability Access in Education
• +۳ مورد دیگر

Eur Ing Brian Tompsett is a Lecturer in Computer Science at the University of Hull, affiliated with the Faculty of Science and Engineering’s School of Computer Science. With nearly 50 years of industry and academic experience in software development and internet technologies, he specializes in computer networking, security, and compiler design. He leads the Software Engineering degree program and focuses on improving pedagogical methods in computer science education. His research emphasizes diversity in computing and accessibility for disabled students, alongside cybersecurity awareness for the public. Education & Roles: Chartered Member of the British Computer Society (1982–2018) External Examiner for Masters in Computer Science (2012–2017) External PhD Panel Chair (University of Hull, 2011) Provided evidence to the House of Lords Science and Technology Committee (2006) Research Interests: Brian’s work spans ontology-driven e-learning personalization for disabled students, cybersecurity risks in emerging technologies (e.g., the metaverse), and ethical dilemmas in computer security education. His contributions address barriers to accessibility in digital spaces and proactive measures against cybercrime. Key Contributions: His publications include advancements in adaptive learning systems for disability inclusion and analyses of cybercrime trends in virtual environments. He collaborates on projects like ONTODAPS, enhancing e-learning accessibility through ontologies. Awards & Recognition: Chartered Engineer (CEng) and Chartered IT Professional (CITP) status Leadership in curriculum design and pedagogical innovation Labs/Teams: Active in the School of Computer Science’s research groups, focusing on cybersecurity and inclusive education technologies.

Marian Benner-Wicknerمشاهده پروفایل

استاد

• Software Engineering
• E-Learning
• Case Management
• +۷ مورد دیگر

Prof. Marian Benner-Wickner is a Professor of Computer Engineering at IU University of Applied Sciences, where he has been a faculty member since 2018. He leads the Industrial Engineering & Management and Industry 4.0 online study programs, focusing on software engineering and gender-neutral e-learning methodologies. His professional background includes roles as an IT specialist trainer at CampusLab GmbH and a software developer at the Fraunhofer Institute for Software and Systems Technology. He holds a PhD in Software Engineering (2016) from the University of Duisburg-Essen, where he managed the “Agenda-Driven Case Management” research cluster. His research interests span software engineering, case management techniques, process flexibility, smart home technologies, and digital youth protection. Notable contributions include work on adaptive case management systems, ontology-based recommendation systems, and e-learning metadata frameworks. Prof. Benner-Wickner actively contributes to organizations like the Wikimedia Foundation, CPS.HUB NRW, and the Society for Computer Science. His publications address topics such as IT integration architectures, automated grading systems, and security frameworks in mobile networks. His recent projects emphasize integrating IT applications, enhancing educational technologies, and optimizing knowledge-intensive business processes through semantic web technologies and process mining. In advising and grants, he oversees company-specific final theses in IT and technology, emphasizing practical industry collaboration. He has developed guidelines for design science research in academic works and advocates for empirical approaches to software process improvement. His leadership in Industry 4.0 programs reflects his commitment to bridging academic research with industrial applications. Leveraging his role as department head, he fosters innovation in curriculum design, particularly in leveraging digital tools for inclusive and adaptive learning environments. His interdisciplinary work intersects computer science, education, and policy, addressing societal challenges like digital youth protection and smart home security.

• Computer Science Education
• Curriculum Development
• Teaching Methodologies
• +۴ مورد دیگر

Nell B. Dale is a distinguished academic in the field of Computer Science Education, affiliated with the University of Texas at Austin. With a career spanning over five decades, her work has significantly influenced computer science pedagogy, curriculum development, and educational research methodologies. She has been a prominent figure in the SIGCSE (Special Interest Group on Computer Science Education) community, contributing extensively through publications, conference organization, and leadership roles. Her research interests focus primarily on computer science education, with particular emphasis on curriculum development, teaching methodologies for introductory programming (CS1), assessment strategies, and historical perspectives on CS education. She has explored challenges in teaching recursion, data structures, and foundational programming concepts, while also addressing broader issues like gender diversity in computing education. Her work often bridges theoretical educational frameworks with practical classroom applications, making significant contributions to how computer science is taught at the undergraduate level. An analysis of her publication trends reveals a sustained focus on understanding and improving computer science education. Early work addressed foundational issues in database management education and programming language instruction, while later research examined contemporary challenges like the integration of software engineering principles into undergraduate curricula and the identification of difficult topics in introductory courses. Her 2018 publication reflecting on her relationship with SIGCSE demonstrates her long-standing commitment to the CS education community and its development over time. Throughout her career, Dr. Dale has collaborated extensively with leading figures in computer science education, including Elliot Koffman, Henry Walker, and other SIGCSE luminaries. These collaborations have resulted in significant contributions to CS education literature, conference proceedings, and educational resources that have shaped the teaching of computer science for generations of students.

Harshal Sanghviمشاهده پروفایل

استاد مدعو

• Medical Imaging
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Harshal Sanghvi, Ph.D., currently serves as a postdoctoral fellow in the Charles E. Schmidt College of Medicine and holds an adjunct professor role in the College of Business at Florida Atlantic University. He earned his doctorate in computer engineering from FAU. His professional roles include program chair for the Institute for Certified Computing Professionals and vice chair for the Health-Tech and Life Sciences committee at South Florida Tech Hub. Sanghvi chairs the department of technology and clinical trials at Advanced Research. His research focuses on medical imaging, computer vision, augmented reality, artificial intelligence, business intelligence, and embedded systems. He has contributed extensively to peer-reviewed journals and conferences, with recent work emphasizing AI-driven healthcare solutions, cybersecurity, and interdisciplinary applications of technology. Key themes in his publications include AI in ophthalmic diagnostics, IoT in healthcare, digital twin models for ophthalmology, and novel algorithms for medical imaging analysis. His cybersecurity research addresses threats in smart cities and IT systems, while his engineering work explores actuator design and material reinforcement. No scientific awards or grants are explicitly mentioned in the provided texts. His advisory and collaborative efforts span clinical trials, medical device development, and tech policy initiatives in South Florida's innovation ecosystem. Sanghvi’s work bridges clinical medicine and business strategy through technology, exemplified by his roles in healthcare tech hubs and academic leadership in interdisciplinary research areas.

• Signal Processing
• Image Processing
• Radar Systems
• +۶ مورد دیگر

Corina Nafornita is a Professor at the Department of Communications, Politehnica University of Timisoara. She holds a B.Sc., M.Sc., and Ph.D. in Electronics and Telecommunications from Politehnica University of Timisoara (2003) and Technical University of Cluj-Napoca (2008). She received her Habilitation certificate in 2015. Her research focuses on signal/image processing, radar systems, watermarking, wavelets, and GNSS localization. She is an IEEE Senior Member since 2020 and has held leadership roles in IEEE committees, including Chair of Humanitarian Activities (2021-2022) and Secretary of the IEEE Joint Chapter COM/SP/IT Romania (2019–present). Dr. Nafornita has authored numerous publications, led significant grants (e.g., SAMVA, IMFUSING), and advised multiple PhD students. Her work includes advancements in synthetic aperture radiometry, automotive radar calibration, and SAR image enhancement. She is affiliated with the Intelligent Signal Processing Research Centre and holds roles in organizing international conferences like IEEE ISETC and EHB. Research Interests: Statistical signal processing, radar technology, image denoising, watermarking, wavelet-based methods, and GNSS navigation. Her work bridges theoretical signal processing with practical applications in automotive safety, remote sensing, and secure communication systems. Grants & Leadership: Directed grants such as SAMVA (2022–2024) for multi-copter VTOL aircrafts and IMFUSING (2016–2019) for GNSS localization. Served as Publication Chair for IEEE ISETC since 2010 and TPC member for top conferences like ICASSP and EUSIPCO. Active in IEEE standards committees, including Synthetic Aperture Radiometry (SAR) working groups. Awards: Multiple UEFISCDI awards for research excellence (2015–2021), including recognition for her habilitation and publications on hyperanalytic wavelet edge detection and GNSS localization. Recognized for contributions to signal processing theory and applications. Labs/Teams: Member of the Intelligent Signal Processing Research Centre at UPT, steering committee member, and former Board member of the Communications Department (2017–2020). Collaborates internationally via partnerships with institutions like ENSEIRB Bordeaux, Thales Alenia Space, and ESA.

• Operations Research
• Artificial Intelligence
• Optimization Algorithms
• +۳ مورد دیگر

Dr. Ozge Buyukdagli is an Associate Professor in the Department of Computer Science and Engineering at the International University of Sarajevo. She serves as Program Coordinator for both the Software Engineering and Artificial Intelligence and Data Engineering programs, and is a member of the Sustainable Development Goals committee at IUS. She holds a PhD in Industrial Engineering from Yasar University, Turkey (2018). Her research focuses on mathematical modeling, optimization algorithms, production systems performance evaluation, and sustainable development applications in education and technology. Education: PhD in Industrial Engineering: Yasar University, Turkey (2018) Research Interests: Dr. Buyukdagli explores interdisciplinary topics including: Optimization frameworks for smart cities and energy systems AI applications in image annotation and education technology Gender dynamics in STEM education and ICT workforce Data-driven approaches to academic performance analysis Sustainable development metrics in higher education Project Activities: She leads initiatives such as the Ai4CUAV project and ON-THE-JOB TRAINING PROGRAM FOR THE IT SECTOR, demonstrating commitment to bridging academic-industrial collaboration. Her work frequently integrates multi-objective optimization techniques with real-world implementation challenges.

Martin Rudbergمشاهده پروفایل

استاد

• Construction Logistics
• Digitalization
• Supply Chain Management
• +۶ مورد دیگر

Martin Rudberg is a Professor and Head of the Construction Logistics Unit at Linköping University, specializing in digital transformation and logistics strategies within the construction industry. Affiliated with the Department of Science and Technology (ITN) and Communications and Transport Systems (KTS), his work bridges academic research with industrial applications across sectors like telecommunications, manufacturing, and construction. Education : Master of Science in Industrial Engineering and Management (LiU, 1996); Doctoral Degree in Production Economics (LiU, 2002) His research emphasizes resource efficiency , digitalization , and sustainable construction logistics , focusing on urban development, industrialized construction, and supply chain optimization. Recent projects include the Smart Built Environment program and the Connected Construction Site initiative. The 2023-2024 articles highlight his expertise in digital transformation , logistics strategies , and performance management in construction, with keywords spanning Computer Science , Urban Development , and Business Management . Martin leads the Master’s programme in Digitalized Construction and Digital Construction Management (launched 2023), combining academic leadership with industry advisory roles. His international collaborations include visiting researcher positions at McMaster University and the University of Sydney. Labs & Teams : Head of Linköping University’s Construction Logistics Unit, which operates within the Department of Science and Technology (ITN) and Communications and Transport Systems (KTS).

• Supply Chain Management
• Enterprise Architecture
• Business Information Systems
• +۳ مورد دیگر

Jos van Hillegersberg serves as Full Professor in Industrial Engineering & Business Information Systems, demonstrating extensive scholarly contributions with 201 research outputs including 62 articles and 82 conference contributions. His academic profile shows consistent productivity across two decades with significant publication volumes in peak years like 2015 (19 outputs). Research interests center on Supply Chain Management (73% fingerprint weight), Enterprise Architecture, Business Information Systems, and emerging domains like Low-Code Development and AI applications. His work bridges computer science with practical business engineering challenges, particularly in supply chain optimization and digital transformation across multiple sectors. Recent publication trends (2023-2025) reveal strong interdisciplinary focus: agricultural data privacy systems, AI-driven healthcare solutions for diabetes, public sector DevOps optimization, and construction logistics control towers. These works consistently address real-world implementation challenges while maintaining theoretical rigor in enterprise modeling and systems engineering. With an h-index of 28 and 2900+ Scopus citations, Professor van Hillegersberg actively shapes academic discourse through leadership roles including chairing the 11th International Workshop on Enterprise Applications in Finance (FinanceCom 2022). His supervision of 32 students demonstrates commitment to developing next-generation researchers in business information systems.

Ali Mansourمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Computer Networking
• Educational Technology
• +۲ مورد دیگر

Dr. Ali Mansour is a Senior Lecturer in Computing and Information Systems at the University of Bedfordshire's School of Computer Science and Technology . He holds a PhD in Computer Science from Sheffield University and a BSc (Honours) in Computer Studies from Sheffield Hallam University. His professional credentials include Chartered Engineer (CEng), Chartered IT Professional (CITP), and Fellowships from the British Computer Society (FBCS) and the Higher Education Academy (FHEA). Education Background: PhD in Computer Science, University of Sheffield BSc (Hons) in Computer Studies, Sheffield City Polytechnic (now Sheffield Hallam University) Research Focus: Cyber Security, Computer Networking, Educational Technology (e-Learning, Virtual Learning Environments), and Medical Informatics. His work includes Wellcome Trust-funded medical informatics research and leadership in cybersecurity education through the Cisco Academy. Professional Contributions: Lead academic for Cisco Academy since 2009 (recognized by Cisco in 2018) External Examiner roles at Solent University, University of Portsmouth, and others Project leadership: £73K British Council DelPHE-Iraq Project (2011-2012), Innovation Voucher projects (£6K total) Leadership Roles: Course Leader for BSc Cybersecurity, MSc Cyber Security, and MSc Cyber Security with Project Management Member of the Institute for Research in Applicable Computing (IRAC) Professional Memberships: Fellow of the British Computer Society (2012–present) Chartered Engineer (British Engineering Council, 2003–present) Advisory & Consultancy: Supervised 9 PhD students and provided consultancy through the University’s Research and Innovation Service.

Lek Hsiang Huiمشاهده پروفایل

مدرس ارشد

• Intelligent Systems
• Sentiment Analysis
• Natural Language Processing
• +۳ مورد دیگر

Lek Hsiang Hui is a Senior Lecturer (Educator Track) at the Department of Information Systems and Analytics, School of Computing, National University of Singapore (NUS). He concurrently serves as the Assistant Dean for Industry Relations and holds roles in the Faculty Teaching Excellence Committee (FTEC) and NUS Teaching Academy. His academic journey includes a PhD in Information Systems (NUS) and a First Class Honours B.Sc. in Computer Engineering (NUS). His research focuses on Intelligent Systems, Sentiment Analysis, Natural Language Processing, and Education Technology. Notable work includes developing aspect-based sentiment analysis frameworks and educational data mining tools for collaborative learning assessment. He actively contributes to executive training in Healthcare Analytics through the Centre of Health Informatics (CHI). Dr. Hui has been consistently recognized for teaching excellence, earning multiple Annual Teaching Excellence Awards (ATEA) and Faculty Teaching Excellence Awards (FTEA) between 2014 and 2019. His awards include the prestigious National Day Awards Commendation Medal 2022. He advises the NUS StartIT student society, fostering IT and technopreneurship interests. His service roles include curriculum development, faculty teaching committees, and leadership in the NUS Teaching Academy.

Sergio Daviesمشاهده پروفایل

مدرس ارشد

• Spiking Neural Networks
• Neuromorphic Computing
• Computer Network Security
• +۳ مورد دیگر

Dr. Sergio Davies serves as a Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University, leveraging extensive experience from both academic research and industry leadership. His career spans the University of Manchester's SpiNNaker project, the European Human Brain Project, and strategic roles in hardware/software development before returning to academia in 2019. His educational foundation includes an MSc-equivalent in Telecommunication Engineering from the University "Federico II" in Naples and a Ph.D. in Computer Science from the University of Manchester (2012). MSc-equivalent: Telecommunication Engineering, University "Federico II", Naples Ph.D.: Computer Science, University of Manchester (2012) Davies specializes in spiking neural networks and neuromorphic computing, with pioneering work on the SpiNNaker architecture. His current research focuses on applying these technologies to computer network security and robotics, developing event-driven systems for real-time applications like gesture recognition and intrusion detection. This work bridges theoretical neuroscience with practical engineering challenges, emphasizing low-power, real-time operation. Analysis of his 15 most recent publications (2012-2025) reveals a clear evolution from foundational SpiNNaker development toward applied security and robotics. Recent work integrates event-based vision with neuromorphic hardware for multi-object tracking and gesture recognition, while maintaining core contributions to learning algorithms like STDP. The consistent thread is practical implementation on neuromorphic platforms for security-critical applications. Professional recognition includes: Member of the Institution of Engineering and Technology (MIET) Member of the Institute of Electrical and Electronics Engineers (MIEEE) Fellow of the Higher Education Academy (FHEA) His industry experience as an IT consultant at KPMG and subsequent leadership of hardware/software teams informs his applied research approach. Though specific student advisees aren't listed, his work involves mentoring through the SpiNNaker ecosystem and Human Brain Project collaborations. Current projects focus on neuromorphic security solutions developed through university-industry partnerships. Davies operates within Manchester Metropolitan University's neuromorphic computing research group, maintaining active ties to the original SpiNNaker team at Manchester and the Human Brain Project consortium. His lab focuses on translating theoretical neural models into deployable security and robotics systems using SpiNNaker hardware.

Can Adam Albayrakمشاهده پروفایل

استاد

• IT Management
• IT Controlling
• IT Strategy
• +۳ مورد دیگر

Prof. Can Adam Albayrak is a Professor of Business Information Systems at the Department of Automation and Computer Science, Harz University of Applied Sciences. He holds a doctorate in Natural Sciences from RWTH Aachen University and has extensive industry experience, including roles at Deutsche Post and DHL. His research focuses on IT management, IT controlling, strategic IT planning, and organizational design. He is a key contributor to frameworks like StratIT and actively participates in academic committees, including the German Informatics Society’s (GI) executive committee for IT Controlling. He teaches IT management and business informatics, emphasizing practical application through industry collaboration. His work bridges academic research and industry needs, addressing challenges in digital transformation, agile methodologies, and SME IT strategies. Education: Doctorate in Natural Sciences (RWTH Aachen), Computer Science degree Professional Experience: Over 25 years in IT strategy roles, including leadership at Deutsche Post and academic roles since 2006 Committees: Member of GI’s Strategic Information Management and Business Informatics working groups His research spans IT governance, agile practices, ethical digitization, and KMU preparedness. He is the author of numerous publications and a sought-after advisor on IT strategy and digital transformation.

Brenda Massettiمشاهده پروفایل

دانشیار

• Social Enterprise
• Corporate Social Responsibility
• Sustainability
• +۳ مورد دیگر

Dr. Brenda Massetti is an Associate Professor of Management in the MECO Department at The Peter J. Tobin College of Business, St. John's University. She holds a PhD in Information and Management Science from Florida State University, an MBA from the University of Alabama-Birmingham, and a BA in Psychology from the University of South Florida. Her work bridges social enterprise, corporate responsibility, sustainability, and emerging technologies with a focus on organizational models and creativity in information systems. Her research spans decades, initially concentrating on IT's impact on creativity and Electronic Data Interchange (EDI), later expanding to social entrepreneurship frameworks and corporate social action quantification. She teaches courses such as Management Information Systems, Strategic Management, and Sustainability Management, emphasizing practical applications of theory. Dr. Massetti’s publications appear in journals like MIS Quarterly and The Journal of Computer Information Systems. She is actively involved in professional organizations and community initiatives, advocating for ethical business practices and socially responsible innovation.

Nuno Nunesمشاهده پروفایل

دانشیار

• Software Engineering
• Human-Computer Interaction (HCI)
• Sustainability
• +۳ مورد دیگر

Nuno Nunes is an Associate Professor of Computer Science at the University of Madeira. He holds an habilitation from the Faculty of Engineering at the University of Porto, a Ph.D. in Software Engineering from the University of Madeira, and a MEng in Informatics and Computer Engineering from Instituto Superior Técnico (IST), University of Lisbon. His research focuses on applying models to software and system design, with current emphasis on sustainability, service design, and tools. He is the scientific director for HCI and Design at the Carnegie Mellon Portugal partnership, president of the Board of ARDITI (Regional Agency for R&D in Madeira), and president of Madeira-ITI (Madeira Interactive Technologies Institute). He is active in professional organizations such as ACM, IEEE Computer Society, and IFIP TC 13.10 (Human-centered Technology and Sustainability). Notable contributions include roles in SIGCHI conferences (EICS, IUI, TEI, Interact, ITS) and leadership in collaborative initiatives like Project Echo of the Abyss, a VR experience promoting marine conservation awareness.

Rida Larakiمشاهده پروفایل

پژوهشگر

• Game Theory
• Social Choice Theory
• Economic Theory
• +۳ مورد دیگر

Rida Laraki is a CNRS Research Director in computer science at LAMSADE (Paris Dauphine University), with a PhD in Mathematics from Université Pierre et Marie Curie. His expertise spans game theory, social choice, economic theory, and operations research. He previously held a part-time professorship at École Polytechnique (2006–2017) and is currently an honorary professor at the University of Liverpool. He oversees the computer science doctoral program at Paris Dauphine and chairs the French Society for Optimization and Decision (SMAI-MODE). His research focuses on developing fair voting systems, notably the Majority Judgment method, which addresses paradoxes in traditional electoral systems. He has authored influential works analyzing French and U.S. elections, advocating for more transparent decision-making frameworks. His 2011 book Majority Judgment with Michel Balinski is foundational in this field. Laraki’s work intersects computer science, mathematics, and political science, emphasizing practical applications in jury scoring, competitions, and institutional governance. His recent publications defend majority judgment against critiques and explore its implementation in diverse contexts. Professional activities include editorial roles in 3 international journals and leadership in academic organizations. His research bridges theoretical foundations with real-world electoral mechanics, aiming to enhance democratic processes through robust judgment-based systems.