جست‌وجوی استاد و پژوهشگر

• Electrical engineering
• Electronics, sensors and digital hardware
• Distributed computing and systems software
• +۶ مورد دیگر

Masood Parvania is the Roger P. Webb Endowed Professor at the University of Utah in Electrical and Computer Engineering. He serves as Director of the Utah Smart Energy Laboratory (U-Smart) and Co-Director of the NSF WIRED Global Center . His research focuses on mathematical optimization , control theory , and machine learning applications in power system operation, resilience, and interdependent infrastructure modeling. His work addresses critical challenges including: Equity-aware grid restoration Climate-resilient energy systems Cyber-physical security analysis Hybrid energy storage coordination Extreme heat event mitigation strategies Key research trends across his 15 most recent publications reveal deep integration of: Renewable energy with storage systems Machine learning in real-time grid operation Cybersecurity frameworks for critical infrastructure Equity metrics in energy distribution Honors include: IEEE Outstanding Associate Editor Award (2022) University of Utah Presidential Scholar (2020) IEEE Utah Section Outstanding Educator Award (2017) Multiple Best Reviewer and Distinguished Service Awards As Associate Editor for IEEE Transactions on Power Systems , he actively shapes energy research discourse while leading NSF-funded initiatives like: U.S.-Canada Climate-Resilient Grid Center ($90M+ Western EV Infrastructure Scale-Up Wasatch Multi-Modal Corridor Electrification

Budi Ariefمشاهده پروفایل

مدرس ارشد

• Cybercrime
• Computer Security
• Ransomware
• +۷ مورد دیگر

Dr. Budi Arief is a Senior Lecturer at the University of Kent's School of Computing, where he serves as Innovation Lead at the Institute of Cyber Security for Society (iCSS) and REF co-ordinator. His research focuses on cybercrime and computer security, particularly ransomware, IoT security, and combating child sexual abuse, with additional work in dependability, wireless sensor networks, distributed systems, and open source software. His research interests span: Core Security: Ransomware analysis, dark web markets, IoT vulnerabilities Interdisciplinary Studies: Psychological profiling of cybercrime victims, societal impacts of cyber threats Emerging Tech: AI/LLM applications in security analysis and vulnerability detection Recent publications (2021-2025) predominantly address ransomware dynamics, dark web ecosystem security, and AI-driven security tools. Key trends include empirical analysis of attack vectors, human behavioral factors in cybercrime, and critical evaluations of security mechanisms in decentralized systems. Funded Projects: UK EPSRC: EconoMical, PsycHologicAl and Societal Impact of RanSomware (EMPHASIS) (2017-2019) EU H2020: Novel Strategies to Fight Child Sexual Exploitation (HEROES) (2021-2024) UK EPSRC: Countering HArms caused by Ransomware in IoT (CHARIOT) (2023-2026) EU ISF: Child-protection strategies against sexual abuse (ALUNA) (2023-2025) UK Dstl/FNC: Playing Cyber Security Games (2023) UK VeTSS: Symbolic Computation for Verification (2021-2022) 15+ additional grants spanning IoT security, privacy tools, and cyber defense (2012-2017) He leads the Cyber Security Group and oversees research initiatives at the Institute of Cyber Security for Society (iCSS) , focusing on interdisciplinary cybersecurity solutions. Actively recruits PhD candidates for security-related research.

Richard Bassettمشاهده پروفایل

دانشیار

• Blockchain Technology
• Enterprise Computing
• Information Security
• +۷ مورد دیگر

Richard Bassett is an Associate Professor in the Business Information Systems department at Southern Connecticut State University. His academic work bridges technology and business strategy, with a focus on digital transformation and emerging technologies. Teaching Interests: Business Information Systems, Project Management, Information Assurance, Database Management, Enterprise Computing Research Interests: Business Process Transformation, Enterprise Computing, Information Security, Business Intelligence Bassett's research explores blockchain technology's organizational impact, cloud computing risk management, and historical perspectives on technological innovation. His publications span topics from Soviet space programs' influence on internet development to expert systems modeling corporate leaders. Grant-funded projects include international humanitarian initiatives through Rotary, focusing on literacy and public health infrastructure. His work integrates technical rigor with business process optimization, often examining technology's societal implications.

Apostolos Ampatzoglouمشاهده پروفایل

دانشیار

• Technical Debt
• Reverse Engineering
• Software Maintainability
• +۵ مورد دیگر

Apostolos Ampatzoglou serves as Associate Professor in the Department of Applied Informatics at the University of Macedonia, where he leads research in software engineering with particular emphasis on technical debt management and software quality. Previously, he held an Assistant Professor position at the University of Groningen (2013-2016) and maintains active collaborations across European research initiatives. His academic credentials include a PhD in Software Engineering from Aristotle University of Thessaloniki (2013), MSc in Computer Systems from the University of Macedonia (2005), and BSc in Informatics from the Technological Education Institute of Thessaloniki (2003). Dr. Ampatzoglou's research program centers on technical debt quantification, reverse engineering, and software maintainability. He pioneered financial models for technical debt management and developed metrics for assessing ripple effects in software systems. His work bridges theoretical foundations with industrial applications through projects like SDK4ED and SmartCLIDE, focusing on energy-efficient development and cloud service engineering. Current investigations explore machine learning applications for vulnerability prediction and technical debt prioritization. His extensive publication record reveals strong trends in applying AI to software quality assurance, with recent work emphasizing transformer models for vulnerability detection and explainable AI for technical debt identification. He actively investigates energy-aware development practices and service-oriented architecture patterns in cloud environments. Notable recognitions include: Top-7 reviewer for Journal of Systems and Software (2022) Best paper awards at IGSCC'21, ICSR'18, and EASE'17 18th most active Consolidated Researcher in Software Engineering (2013-2020) 3rd most active Early Stage Researcher (2010-2017) Multiple personal research grants from National Scholarships Association He has successfully supervised PhD candidates including Dr. Areti Ampatzoglou (Best PhD Thesis Award, University of Groningen) and Dr. Elvira-Maria Arvanitou (VERSEN Institute award). His research is funded through major European projects such as SDK4ED, SmartCLIDE, and SKILLAB, with recent grants exceeding €2M in total funding. Current work focuses on FAIR data implementation and skills gap analysis in European labor markets. As leader of the Software Engineering Lab at the University of Macedonia, he directs a 15+ member team working on technical debt management tools, cloud development environments, and XR applications for warehouse management. The lab maintains strong industry partnerships with technology clusters in Thessaloniki and participates in the Eclipse Foundation ecosystem.

Jessica Darveauمشاهده پروفایل

دانشیار

• Cultural and experiential dimension of consumption
• Responsible marketing and local businesses
• Arts and Culture Marketing
• +۴ مورد دیگر

Jessica Darveau is an Associate Professor in the Marketing Department at the Faculty of Business Administration, Université Laval. With a unique interdisciplinary background combining business, art history, and fine arts, she brings distinctive perspective to marketing research. Her educational background includes a Doctorate in Marketing from HEC Montréal, a Master of Arts in Art History from Concordia University, and a Bachelor of Fine Arts from Bishop's University. This diverse academic foundation informs her research approach at the intersection of culture, ethics, and consumer behavior. Professor Darveau's research focuses on the cultural and experiential dimensions of consumption, with particular emphasis on responsible marketing practices, arts and culture marketing, and age-inclusive approaches. Her work explores how consumers navigate liminal experiences, engage with death-related marketing content, and participate in cultural consumption. She has made significant contributions to understanding crowdfunding in creative industries and ethical considerations in marketing to diverse populations. Her publication record demonstrates consistent scholarly output in high-impact journals across marketing, consumer behavior, and interdisciplinary fields. Recent work shows increasing focus on ageism in marketing and ethical considerations in contemporary consumer contexts. Active contributor to the advancement of the marketing discipline Involved in university and faculty initiatives Engaged with media on marketing topics Provides professional services to companies Professor Darveau supervises students and contributes to developing responsible marketing practices that balance business needs with ethical considerations, particularly in sensitive domains like age-related marketing and bereavement contexts.

Carl Zhangمشاهده پروفایل

استادیار

• Social Network Privacy
• Data Science
• Machine Learning
• +۴ مورد دیگر

Carl Zhang serves as Assistant Professor of Computer Information Systems and Paul Engler Professor of Business Innovation at West Texas A&M University's Department of Computer Information and Decision Management within the Paul and Virginia Engler College of Business. Joining in 2020, he teaches programming, social network analysis, and data visualization courses while leading research in privacy and machine learning applications. His academic credentials include: Ph.D. in Computer Science, George Washington University (2020) M.S. in Computer Science, George Washington University (2017) B.S. in Information Management, Shandong Normal University (2015) Dr. Zhang's research centers on social network privacy vulnerabilities, data science methodologies, and machine learning implementations. His work bridges theoretical security frameworks with business applications, particularly in deanonymization resistance, malware detection systems, and consumer trust modeling in digital marketplaces. Current investigations focus on federated learning optimization and psychological factors in AI-driven e-commerce. Publication trends reveal increasing emphasis on practical security solutions, with recent work (2024-2025) addressing real-world challenges in data heterogeneity and malware classification. His output spans high-impact journals including IEEE Transactions and Journal of Computer Information Systems, demonstrating consistent contributions to both theoretical foundations and business applications. Key recognitions include: Paul Engler Professor of Business Innovation (2024) College of Business Teaching Excellence Award (2023) Dr. Zhang actively mentors 9-18 undergraduate students per term through structured projects like the ABET accreditation system and community initiatives. His $2,950 WTAMU Foundation grant (2022) supports IT knowledge dissemination via guest lectures and learning platforms. He leads student engagement through BuffTeks and Buff Analytics communities, fostering hands-on technical development. Though without a formal lab, he cultivates research opportunities through course projects, competition mentorship (e.g., USITCC winners), and software development initiatives like the Program Assessment Reporting System deployed on WT's network infrastructure.

Alexander Serebrenikمشاهده پروفایل

استاد

• Software Engineering
• Social Software Engineering
• Socio-technical Coordination
• +۵ مورد دیگر

Alexander Serebrenik is a full professor of social software engineering at the Eindhoven University of Technology in the Netherlands, working within the Department of Mathematics and Computer Science. His academic profile spans decades of interdisciplinary research bridging computer science and social sciences. Professor Serebrenik's research focuses on facilitating software evolution through understanding social aspects of development. His work integrates computer science methods (socio-technical coordination theory, natural language processing, machine learning) with organizational psychology principles. A consistent theme across his publications is empiricism - addressing software engineering challenges through observation and experimentation while balancing social and technical perspectives. His recent work increasingly emphasizes diversity, equity, and inclusion in software engineering, culminating in his 2024 book "Equity, Diversity, and Inclusion in Software Engineering: Best Practices and Insights" (APress). His publication record reveals evolving interests from socio-technical coordination to human factors, community dynamics in open source, and now DEI-focused research. Distinguished Paper Award at ICSE 2023 Distinguished Paper Award at MSR 2023 Distinguished Reviewer Award at FSE 2020 Senior member of IEEE Member of ACM As an academic leader, Professor Serebrenik has mentored PhD students including Tukaram Muske, and actively participates in doctoral symposia. His service includes roles as Diversity and Inclusion Co-Chair at multiple conferences and extensive program committee participation across the software engineering conference landscape. His research group at TU/e maintains an active program studying the social dimensions of software engineering through empirical investigations, contributing significantly to understanding how human factors influence development processes and outcomes.