جستجوی استاد راهنمای دانشگاهی

Veljko Pejović is an Associate Professor at the Faculty of Computer and Information Science (FRI), University of Ljubljana, Slovenia, where he also serves as Head of the Computer Communications Laboratory. His research focuses on mobile computing with special emphasis on resource efficiency in mobile and IoT environments. His educational background includes a PhD in Computer Science from the University of California, Santa Barbara (2012) and a dipl. ing (BS) from the University of Belgrade, Serbia (2006). Pejović's research interests center around mobile deep learning, approximate computing, and resource-efficient computing. His work explores how computation accuracy can be dynamically adapted based on contextual factors to optimize resource usage without significantly compromising user experience. He has made significant contributions to mobile sensing, machine learning on resource-constrained devices, and security in IoT environments. His recent publications reveal a strong trend toward making AI more efficient and accessible on mobile and edge devices, with particular focus on approximate computing techniques, federated learning frameworks, and context-aware adaptation of computational resources. His research spans applications from precision agriculture using UAVs to behavioral authentication in IoT environments and mental health inference from mobile sensor data. Scientific Awards: 10-Year Impact Runner Up Award at ACM UbiComp for InterruptMe work Outstanding research achievement award for 2024 by the Faculty of Computer and Information Science Best Paper Nominee (top 4%) at UbiComp'14 for InterruptMe Pejović actively mentors PhD and master's students, with numerous theses resulting in workshop, conference, and journal publications. He serves as Associate Editor for ACM IMWUT and ACM JCSS, and has held organizational roles in major conferences including ACM UbiComp 2025. His research is supported by multiple significant projects including approXimation for adaptable diStributed artificial intelligence (ARIS), CODA, AgriAdapt, and CARMA. His laboratory, the Computer Communications Laboratory at FRI, focuses on developing practical systems and frameworks for resource-efficient mobile computing, with several open-source tools and datasets publicly available for the research community.

• Mobile deep learning
• Approximate computing
• Resource-efficient computing
• +۶ مورد دیگر

Dr. Klen Čopič Pucihar serves as Associate Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He holds multiple leadership roles including Department Chair of Information Sciences and Technologies, Deputy Chair of HICUP Lab, and Study Programme Coordinator for the Doctoral Computer Science program. His research centers on Human-Computer Interaction with particular emphasis on: Augmented, Mixed, and Virtual Reality systems Micro-gesture recognition using radar sensing (e.g., Google Soli) Paper interfaces and augmentation of physical media AR for educational applications, particularly vocabulary learning Addressing the 'dual-view problem' in handheld AR systems Dr. Čopič Pucihar's work is driven by the vision to 'unclog the bottleneck' between humans and digital information. His recent publications (2019-2025) show a strong trajectory from theoretical interaction techniques toward practical educational applications and novel input methods using radar sensing, with consistent output in top venues including CHI, ISS, MobileHCI, and ISMAR. His notable achievements include: Best Paper Award at ACM IUI 2025 Honorable Mentions at ACM EICS 2022 and ACM ISS 2022 Best Poster Award at ISMAR Multiple hackathon victories including at Columbia University As Study Programme Coordinator for Doctoral Computer Science, Dr. Čopič Pucihar mentors graduate students and shapes research directions. His HICUP Lab hosts an international research group focused on making digital interfaces more intuitive and effective for human use through advanced sensing methods and personalized services. HICUP Lab leverages techniques from data mining, machine learning, computer vision, and human perception to develop interfaces that function as extensions of human minds, bodies, and behavior, with the ultimate goal of enabling 'digital augmentation of human abilities to its fullest potential.'

• Augmented Reality
• Mixed Reality
• Virtual Reality
• +۷ مورد دیگر

Professor Boštjan Brumen serves as a Full Professor at the University of Maribor specializing in informatics with dual research foci in security/privacy and machine learning. His academic profile bridges technical informatics with tourism applications, particularly examining digitalization and security challenges in tourism contexts through interdisciplinary research. His research centers on password security and cryptoanalysis within security studies, while exploring algorithmic limitations in machine learning classification systems. Recently, he has integrated these domains with tourism research, investigating pandemic-related travel behavior, spatial sensitivity in urban tourism, and security vulnerabilities in tourism technology systems. This work appears in reputable journals including Computers & Security and Academica turistica. Professor Brumen teaches Data Analysis in Tourism across undergraduate, master's, and doctoral programs, employing a teaching methodology that prioritizes critical thinking and adaptability over factual memorization. His pedagogical approach combines lectures with discussion-based analysis followed by independent application exercises, emphasizing historical context and pattern recognition to prepare students for evolving technological landscapes. His publication record demonstrates consistent output in both technical informatics venues and tourism research journals, with recent 2020 publications spanning shoulder surfing experiments, city spatial sensitivity, and COVID-19 travel impact studies. While specific awards aren't documented, his work appears in high-impact journals including the Journal of Medical Internet Research (IF 4.7). Professor Brumen maintains active research supervision through course instruction and co-authored publications, though specific student names aren't listed. His interdisciplinary approach connects informatics fundamentals with practical tourism applications, suggesting ongoing institutional support for his research activities despite explicit grant details being unavailable.

• Security
• Privacy
• Machine Learning
• +۴ مورد دیگر