جست‌وجوی استاد و پژوهشگر

J. Mauro Calabreseمشاهده پروفایل

دانشیار

• Epigenetics
• Genomics
• Long Noncoding RNAs
• +۵ مورد دیگر

J. Mauro Calabrese, PhD serves as an Associate Professor and Director of Graduate Studies in the Department of Pharmacology at the University of North Carolina at Chapel Hill School of Medicine. He is also a member of the Lineberger Comprehensive Cancer Center, where his research intersects with cancer biology and epigenetic regulation. Dr. Calabrese's research program focuses on understanding how non-catalytic RNAs, particularly long noncoding RNAs (lncRNAs), regulate gene expression within the nucleus. His laboratory investigates the pervasive transcription of mammalian genomes and the mechanisms by which RNA coordinates gene regulatory events essential for human health and homeostasis. His work spans epigenetics, genomics, chromatin biology, and RNA function, with specific interests in Xist-mediated X-chromosome inactivation, Polycomb recruitment, and RNA-protein interactions. Analysis of Dr. Calabrese's recent publications reveals a strong emphasis on lncRNA function, particularly in chromatin regulation and epigenetic control. His work combines molecular biology, genomics, and computational approaches to understand how RNA sequence and structure relate to function within the chromatin environment. His research has significant implications for understanding human genetic disorders and cancer development. As Director of Graduate Studies in Pharmacology, Dr. Calabrese mentors numerous students and postdoctoral fellows. The Calabrese lab currently includes researchers such as Shuang, Mickey, Rachel, Elizabeth, Sam, Aki, Quinn, Ryan, and Jackson, as seen in their 2023 lab photo. His laboratory actively seeks motivated graduate students and postdoctoral fellows interested in genomics, epigenetics, chromatin, or RNA biology.

Josh Siegelمشاهده پروفایل

استادیار

• Internet of Things
• Pervasive Sensing
• Connected and Autonomous Vehicles
• +۵ مورد دیگر

Josh Siegel is an Assistant Professor in the Computer Science and Engineering and Electrical and Computer Engineering departments within Michigan State University's College of Engineering. His work focuses on interdisciplinary research at the intersection of Internet of Things (IoT) , autonomous systems , and cybersecurity . Dr. Siegel holds a Ph.D. in Mechanical Engineering from MIT (2016). Research interests include pervasive sensing , connected and autonomous vehicles , AI ethics , and gamification in education . He has pioneered projects like Robofest and Virtual Art Viewing for Education (VAVEL) , demonstrating real-world impacts of technology in STEM education and disaster response. His autonomous vehicle research emphasizes real-vehicle testing , roadside unit infrastructure , and safety-critical decision-making . Notable contributions include frameworks for metaverse rights management , data-efficient decision systems , and byzantine-resilient federated learning . He leads the NSF-funded REU Site: Collaborative Research program, fostering undergraduate innovation in autonomous vehicle algorithms. Current projects explore AI ethics in urban mobility , smart infrastructure , and IoT-enabled manufacturing . Dr. Siegel's work bridges academia and industry through partnerships focused on cyber-physical systems , digital twins , and industrial IoT . He has published extensively on topics ranging from vehicle cybersecurity to AI-driven diagnostics , with a strong emphasis on practical deployment and societal impact.

• Computer Architecture
• Computer Systems
• Compilers
• +۸ مورد دیگر

José Cano Reyes is a Senior Lecturer (Associate Professor) at the University of Glasgow's School of Computing Science, leading the Glasgow Intelligent Computing Lab (gicLAB) and serving as deputy Head of the GLAsgow Systems Section (GLASS). His academic career includes postdoctoral roles at the University of Edinburgh (2014-2018) and Universitat Politècnica de Catalunya (2012-2013), with a PhD and engineering degree from Universitat Politècnica de Valencia (2004-2012). He has held visiting and guest lecturer positions at Edinburgh and Glasgow across computer architecture, compilers, and embedded systems topics. Research focuses on hardware-software co-design for edge AI, including DNN acceleration (FPGA/GPU), encrypted AI systems, and secure mission-critical SoCs. Key projects include EU's dAIEDGE, EPSRC IDEAL, and UKRI AppControl. He leads over 15 research staff and students in areas like quantization, sparsity exploitation, and robust AI deployment. Notable contributions span 100+ peer-reviewed publications across top venues (ISCA, IJCNN, IEEE TPDS) and 3 authored books on ad hoc networks and embedded systems. Academic service includes organizing 20+ conferences (ISPASS, Euro-Par, ASPLOS) and serving on editorial boards for ACM TACO and IEEE TPDS. His educational efforts include teaching Computer Architecture (Year 4), Computer Systems (Year 1), and supervising over 20 PhD/MSc students since 2017.

• Cloud computing
• Distributed sensing
• Distributed systems
• +۱۲ مورد دیگر

Paolo Casari is an Associate Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science. His contact address is Via Sommarive, 9 - 38123 Povo. His research focuses on advanced topics in networking and computational systems, including: Cloud computing and distributed sensing Wireless sensor networks and vehicular networks Radio communication optimization Simulation and performance evaluation of complex systems Modeling of ultrasound wave propagation Paolo teaches courses such as: Reti (Networks) - Co-taught with Andrea Rosani Simulation and performance evaluation - Co-taught with Michele Segata Wireless Networking and Localization He contributes to academic programs in Information Engineering and Computer Science at both undergraduate (Matematica, Informatica) and graduate (LM) levels.

Gokay Saldamliمشاهده پروفایل

استادیار

• Blockchain
• Post-Quantum Cryptography
• Deep Learning
• +۲ مورد دیگر

Gokay Saldamli is an Assistant Professor in the Department of Computer Engineering at San José State University's Charles W. Davidson College of Engineering. He is actively contributing to the academic and research mission of the department with a focus on emerging technologies in cybersecurity and intelligent systems. His research interests span critical and modern domains in computer engineering, including: Blockchain technologies and decentralized systems Post-Quantum Cryptography for future-proof security Deep Learning applications in security and automation Internet of Things (IoT) security frameworks Broad cybersecurity strategies and defenses The trends in his research focus reflect a strong emphasis on securing next-generation computing infrastructures against evolving threats, particularly in the context of quantum computing advancements and pervasive connected devices. His work sits at the intersection of cryptography, artificial intelligence, and networked systems, positioning him at the forefront of cyber-physical system protection. Currently, no scientific awards or honors are listed in the available information. Dr. Saldamli advises students within the Computer Engineering program and contributes to academic and research initiatives at San José State University. While specific grants or funded projects are not detailed in the provided text, his research areas suggest alignment with national priorities in cybersecurity and resilient systems. He is affiliated with the Computer Engineering faculty and operates within the research and educational framework of the Charles W. Davidson College of Engineering, contributing to both undergraduate and graduate education in computing disciplines.

Davide Anconaمشاهده پروفایل

دانشیار

• Formal Methods
• Runtime Verification
• Programming Languages
• +۳ مورد دیگر

Davide Ancona is an Associate Professor at the University of Genoa, Italy, in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS). He holds key governance roles: Member of the School Council, School of Mathematical, Physical and Natural Sciences Member of the Department Board, DIBRIS His teaching portfolio spans Internet of Things, Healthcare IoT, Wearable Devices, Programming Languages, and Pervasive Computing across Computer Science and Bioengineering degree programs. His research concentrates on: Formal Methods and Programming Languages (specializing in corecursive streams and type systems) Runtime Verification for software correctness and multi-agent systems Internet of Things applications in healthcare contexts His work bridges theoretical foundations with practical verification tools for critical systems. Analysis of his 2023-2024 publications reveals: Foundational advances in corecursive stream equivalence and expressivity Novel applications of logic programming to runtime monitoring Techniques for verifying mutable object behavior in Java Extensions to robotic multi-agent frameworks like JaCaMo These contributions demonstrate a cohesive trajectory from theoretical programming language research to real-world IoT and healthcare validation systems.

• Pervasive Computing
• Ambient Intelligence
• Internet of Things
• +۷ مورد دیگر

Bessam Abdulrazak is an Associate Professor at the University of Sherbrooke, Canada, where he has been serving since 2013. He is also the Director of the Intelligence AMbiante Lab (AMI-Lab) at the University of Sherbrooke since 2013, and an Active Researcher at the Centre de recherche sur le vieillissement since 2011. Prior to his current position, he served as an Assistant Professor at the University of Sherbrooke from 2007 to 2013. Dr. Abdulrazak earned his Doctorate in Computer Science from Université d'Évry Val d'Essonne in 2004, a Master's equivalent degree in Robotics from Université de Paris VI (P & M Curie) in 2000, and an Engineering degree in Electronics from Université des Sci et de la Tech Houari in 1997. His research focuses on pervasive computing, ambient intelligence, and the Internet of Things (IoT) with applications in healthcare and aging. Specifically, he works on adaptive systems, context-aware computing, activity recognition, and smart environments designed to support elderly individuals and those with special needs. His interdisciplinary research integrates computer science with gerontology to develop technologies that enhance quality of life and promote healthy aging. His work spans smart homes, intelligent environments, semantic modeling, and behavior recognition systems tailored for aging populations. His recent publications demonstrate a strong focus on IoT architectures for healthcare applications, discreet health monitoring systems, and context-aware adaptive technologies for elderly care. His work spans computer science, biomedical engineering, and healthcare, with particular emphasis on developing practical solutions that can be deployed in real-world settings. He has developed the AMI Platform, a reliable and scalable solution for IoT deployment that addresses system reliability through plug-and-play architecture. Our paper for Open Living Labs 2022 has been among the top Selected papers in the conference Dr. Abdulrazak has directed multiple research labs including the AMI-Lab and previously the DOMUS Lab (2009-2010). His research has involved numerous collaborations with healthcare institutions and has resulted in practical applications for aging in place and remote health monitoring. He has established strong international collaborations, including European projects such as PULSE, City4Age, and Silver, working with partners from France, Singapore, and other countries. His research program bridges computer science with healthcare needs, particularly focusing on how technology can support independent living and improve quality of life for elderly populations.

• Human-Computer Interaction
• Game Design
• Usability Evaluation
• +۲ مورد دیگر

Kalle Jegers is an Adjunct Lecturer at the Department of Informatics, Umeå University , Sweden. His work focuses on human-computer interaction , game design , and pervasive computing , with a particular emphasis on player enjoyment and usability evaluation in pervasive games. Research interests include: Development of frameworks like Pervasive GameFlow to model player engagement Usability and playability heuristics for mobile and cross-media games Edutainment systems such as the Laser Challenge at the Nobel e-museum Publications highlight trends in mobile gaming , interactive technologies , and contextual game design . Co-authors include Charlotte Wiberg, Mikael Wiberg, and Johan Bodén, reflecting collaborative research in pervasive gaming and CSCW integration.

• Wireless sensor networks
• Internet of Things (IoT)
• Air pollution monitoring
• +۱۱ مورد دیگر

Renato Ferrero is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino (Polito) , with key roles as contact person for training activities and member of the PIC4SeR Interdepartmental Center for Service Robotics . His research spans Wireless Sensor Networks (WSN) , Internet of Things (IoT) , and Environmental Monitoring , supported by competitive grants like AGRITech Spoke 6 (2022-2025) and MIUR funding (2017). He has published extensively on topics including air pollution monitoring , quantum-inspired security , and agricultural technology , with recent work focusing on deep learning for mask/respirator detection and biofertilizer analysis . As an IEEE Access Associate Editor and program committee member for conferences like COMPSAC and RFID-TA, he contributes to academic governance. His teaching includes Computer Architecture (2019-2025) and Ubiquitous Computing (2019-2021) at Polito. He advises PhD students Chiara Panico and Nicola Dilillo , with projects in Data Science , Computer Vision , and AI Life Sciences .

Florian Müllerمشاهده پروفایل

استادیار

• Extended Reality
• Human-Computer Interaction
• Mobile Interaction
• +۴ مورد دیگر

Florian Müller serves as Assistant Professor for Mobile Human-Computer Interaction at Technical University of Darmstadt, leading the Urban Interaction Lab. His research pursues seamless integration of digital information, AI agents, and physical environments into unified Extended Reality (XR), with focus on novel interaction techniques for mobile XR and human-AI collaboration through body-centric, tangible, and haptic interfaces. Müller's primary research spans Extended Reality, Human-Computer Interaction, and Mobile Interaction with specialization in Haptic Interfaces, Tangible Interfaces, and Body-Centric Interaction. He investigates how multimodal sensory feedback enhances user experiences in immersive environments, particularly examining AI-driven adaptation for context-aware XR systems and the social implications of pervasive interactive technologies in urban settings. Recent publications (2024-2025) demonstrate strong interdisciplinary trends across multisensory XR (taste modulation, thermal feedback), social VR/AR applications (privacy, content sharing), and human-AI co-creation systems. Key domains include health (motor control assessment), education, and urban interaction contexts, with consistent emphasis on user experience, safety, and practical implementation challenges. Müller directs the Urban Interaction Lab at TU Darmstadt, which develops and evaluates interactive technologies for public spaces through prototyping novel mobile and XR interfaces. The lab's work emphasizes real-world deployment in urban environments, focusing on social engagement, situational awareness, and seamless interaction between physical and digital layers of city infrastructure.

Rabih Younesمشاهده پروفایل

دانشیار

• wearable computing
• artificial intelligence
• machine learning
• +۶ مورد دیگر

Rabih Younes is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He also serves as the Associate Director of Undergraduate Studies and is a Faculty Network Member of the Duke Institute for Brain Sciences. Additionally, he is the Duke FRC Program Director for team 8429, Valence Robotics, and Head of the Duke KEEN Leadership Team. Dr. Younes received his PhD in Computer Engineering from Virginia Tech in 2018, following his MSE in Computer Engineering from the Lebanese American University in 2013 and his BE in Computer Engineering from the same university in 2011. He speaks nine languages (fluent in three) and holds various certificates including Engineering Education and Future Professoriate, Cisco Networking Academy certifications (CCNP, CCNA, ITE Instructor Trainer), National Instruments CLAD, and USPA A-Licensed Skydiver. His research spans wearable computing, ubiquitous/pervasive computing, activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics. Dr. Younes has published extensively on topics ranging from wearable health monitoring systems to innovative approaches in engineering education. His recent work demonstrates a growing integration of machine learning techniques with wearable sensor data for health applications, activity recognition, and educational assessment tools. Dr. Younes' scholarly output shows a consistent trajectory from fundamental wearable computing research toward practical applications in health monitoring and educational technology. His publications reveal an increasing focus on real-world implementation challenges, data augmentation techniques, and educational assessment tools that bridge engineering theory with practical classroom applications. Tau Beta Pi honor society member Eta Kappa Nu honor society member Phi Kappa Phi honor society member Golden Key honor society member KEEN Annual Support grant (2024-2026) Dr. Younes actively mentors students through various programs including EGR 393: Research Projects in Engineering and ECE 899: Special Readings in Electrical Engineering. He has received grant support through the KEEN Annual Support program for 2024-2026, focusing on innovative engineering education approaches. His teaching philosophy emphasizes student development beyond academics, incorporating life skills and critical thinking. As Director of Valence Robotics (team 8429), Dr. Younes leads high school robotics initiatives that have earned state championship qualifications. His lab work focuses on wearable computing systems with applications in health monitoring (including pet emotional health tracking), activity recognition, and educational technology tools. He utilizes agile project management frameworks like Scrum in his courses and implements tools to enhance student learning retention.

Monika Leszczyńskaمشاهده پروفایل

دانشیار

• Contract Law
• Empirical Legal Studies
• Behavioral Law and Economics
• +۳ مورد دیگر

Monika Leszczyńska serves as an Associate Professor at the Texas A&M School of Law, Texas A&M University, where her academic work bridges legal theory and empirical behavioral research within the evolving landscape of digital contract environments. Her research program critically examines how rapidly developing digital ecosystems—characterized by pervasive data collection and processing—reshape contractual behavior and legal frameworks. Utilizing rigorous empirical methodologies including behavioral experiments, vignette studies, systematic content analysis, and computational techniques, she investigates individual decision-making in contract formation and performance. This interdisciplinary approach reveals nuanced interactions between traditional contract law principles and contemporary digital transactional realities, highlighting behavioral adaptations to data-centric contracting environments.

• Philosophy of Technology
• Ethics
• E-Health
• +۴ مورد دیگر

Dr. B.A. Kamphorst is a researcher in the Department of Media and Culture Studies at Utrecht University's Faculty of Humanities, where he is affiliated with the Media and Performance Studies group and the Institute for Cultural Inquiry. His work bridges philosophy, technology, and human behavior with a focus on ethical implications of digital systems. Faculty of Humanities, Utrecht University Department of Media and Culture Studies Media and Performance Studies research group Institute for Cultural Inquiry Dr. Kamphorst's research focuses on the intersection of philosophy of technology, ethics, and human-computer interaction. His expertise spans digital ethics, particularly concerning autonomy-respectful e-coaching systems, governance of digital society, and human-centered artificial intelligence. His work examines how technology affects human agency, decision-making, and behavioral patterns, with specific attention to bedtime procrastination and healthy lifestyle interventions. His publication record since 2009 demonstrates a consistent focus on ethical dimensions of technology, particularly examining how digital systems can support or undermine human autonomy. His most recent work explores hybrid intelligence applications for diabetes management and the voluntariness of public health apps, building on his foundational doctoral research on autonomy-respectful e-coaching systems completed in 2020. Editor for Philosophy & Technology journal Editor for Journal of Responsible Technology Editor for AI and Ethics journal Member of programme committee for International DEDA Seminar Member of programme committee for Procrastination Research Conference Dr. Kamphorst actively engages with the academic community through conference participation, invited talks, and editorial work. His research has practical implications for designing ethical AI systems that respect human autonomy while effectively supporting behavior change in health contexts. His multidisciplinary approach combines insights from philosophy, psychology, and computer science to address pressing challenges in the digital society.

Komninos Andreasمشاهده پروفایل

استادیار

• Mobile and Pervasive Computing
• Network-centric Computing Systems
• Human-Computer Interaction
• +۵ مورد دیگر

Komninos Andreas is an Assistant Professor in the Computer Engineering & Informatics Department at the University of Patras, specializing in Mobile and Pervasive Computing, Internet of Things, and Human-Computer Interaction. His research spans intelligent environments, context awareness, and virtual reality applications. His research focuses on mobile text entry systems, psycho-cognitive modeling of human behavior, and accessibility for visually impaired users. Key areas include large language model applications for text entry evaluation, pseudo-haptic feedback in VR, and spatial multimodal alerts for industrial environments. He develops simulation tools like RoboType for realistic text entry evaluations and open-source cognitive models. Notable achievements include a Best Paper Award at the ACM Greek SIGCHI Chapter (2023) for VR text entry research. He serves as co-general chair for EICS'26 and holds leadership roles in MobileHCI'24 and UbiComp/ISWC'24 as Workshops & Tutorials Chair and Student Competition Chair respectively. Best Paper Award at ACM Greek SIGCHI Chapter (2023) Co-General Chair for EICS'26 Workshops & Tutorials Chair for MobileHCI'24 Student Competition Chair for UbiComp/ISWC'24 His publications demonstrate strong emphasis on empirical validation of text entry systems, with recent work integrating LLMs for affective phrase generation and psycho-cognitive modeling. He actively promotes open data practices in HCI research and has contributed to digital twin systems for environmental education and maritime industry applications.

• Ubiquitous Computing
• Digital Forensics
• Graph Optimization
• +۵ مورد دیگر

Andrej Brodnik is an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana. He serves as Head of the Laboratory for Ubiquitous Systems and actively contributes to research and education in algorithm design, digital forensics, and network security. Current Research Program: ARRS project P2-0359 (Ubiquitous Computing, 2023–2027) International Collaboration: Coordinating ARISA (Artificial Intelligence Skills Alliance, 2022–2026) Recent Projects: DigForASP (Digital Forensics, 2018–2022), KATARINA (Basic Computing Knowledge, 2023–2026) Brodnik teaches courses in Algorithms, Data Structures, Digital Forensics, and Communications Protocols. His research bridges theoretical computer science with practical applications in big data, graph optimization, and security systems. Notably, he leads a laboratory focused on developing pervasive computing solutions and contributes to national educational initiatives like ŠIPK 1 (2017) and CREA (2015–2017).