Find Academic Supervisors

• Curriculum and Instruction
• Measurement and Evaluation in Education
• Education/Teaching Technologies

Prof. Dr. Hacı Ömer Beydoğan is a faculty member at the Faculty of Education , Department of Educational Sciences , Ahi Evran University , Turkey. Holding a PhD in Curriculum and Instruction from Atatürk University (1993), a Master’s in Classroom Education from Gazi University (1988), and a BA in Educational Sciences (1985), he has dedicated his career to teacher education and curriculum design. Key Roles : Professor (2013–present, Ahi Evran University) Chair of Department of Educational Sciences (2018–2021) Department Head (2004–2007) Research Interests : His work focuses on Curriculum and Instruction , Measurement and Evaluation in Education , and Educational Technologies . Notably, he has explored multimedia-based learning , peer assessment , and feedback mechanisms in teacher training. Publication Trends : Recent articles address scale development for educational assessment (2024), non-digital computer science education (2023), and drama-based language instruction (2022). Earlier works examine multimedia learning (2015), self-regulated learning (2015), and concept map applications (2010). Advising and Projects : He has supervised over 13 theses, including Lokman Çavdar’s 2025 PhD on teacher technology integration and Davut Yıldırım’s 2019 Master’s on augmented reality in preschool education . Active in projects like Development of the Student University Image Scale (2016) and Analysis of 5th Grade English Curricula (2019), his research bridges theory and practice in educational quality.

Vito CandidoView profile

Researcher

• Vocational Education and Training
• Immersive Learning Technologies
• Augmented Reality
• +4 more

Vito Candido is a Junior Researcher at the Swiss Federal Institute for Vocational Education and Training (SUFFP) in Lugano, Switzerland. His work focuses on integrating immersive technologies (360° video, Augmented Reality, Virtual Reality) into vocational education and training (VET) to enhance procedural learning outcomes and reduce cognitive load. Research Themes : Cognitive Load Theory, Immersive Learning, Technology-Enhanced Learning, Multimedia Learning Principles Institutional Affiliation : SUFFP, with collaborations at Griffith University, University of Bari Aldo Moro, and EARLI conferences Scientific Contributions : Candido has published peer-reviewed studies in journals like Computers in Human Behavior Reports and International Journal of Psychophysiology . His research explores how immersive media affect stress responses in emergency simulations, cognitive load in AR applications, and technology acceptance in VET systems. Practical Impact : He actively transfers research into practice through workshops and presentations at SERI Conferences, EARLI SIG meetings, and industry events. Projects include MARHVL (2021–2025) and BeLEARN VR (2022–2025), which evaluate AR/VR effectiveness in fields like chef training and technical drawing.

Anja LorenzView profile

Researcher

• Open Educational Resources
• Massive Open Online Courses
• Digital Education
• +5 more

Anja Lorenz is a researcher specializing in Open Educational Resources (OER) and Massive Open Online Courses (MOOCs) at Technische Hochschule Lübeck. Holding a Diplom in Media Informatics (Dipl.-Medieninf.), she has established herself as a leading expert in digital education initiatives in the German academic landscape through her work on platforms like mooin and LOOP2. Her research focuses on practical implementation of open education principles, with particular expertise in OER development, MOOC platforms, and digital learning tools. Dr. Lorenz has pioneered initiatives including the OER-MuMiW project for training OER experts, the FutureSkills platform for universities in Schleswig-Holstein, and refugee integration through online learning. She emphasizes creating sustainable educational models that bridge theoretical research with real-world implementation in higher education settings. Dr. Lorenz's publication record demonstrates consistent innovation in educational technology, with recent work examining scalable assessment formats, digital content production, and vocational applications of OER. Her research shows a strong commitment to making education more accessible through open resources, particularly for marginalized groups such as refugees seeking higher education opportunities. She actively contributes to community building around open education through workshops, conferences, and collaborative projects across Germany and Europe. Her practical approach to educational technology implementation has made her a valuable resource for institutions navigating digital transformation in teaching and learning.

Shawn LoewenView profile

Professor

• Instructed Second Language Acquisition
• Second Language Interaction
• Quantitative Research Methodology
• +2 more

Shawn Loewen serves as Professor and Associate Chair for Graduate Studies in Michigan State University's Department of Linguistics, Languages, and Cultures within the College of Arts & Letters. He directs the Second Language Studies (SLS) program and teaches second language acquisition and quantitative research methods courses. His educational background includes an MA from Temple University and PhD from the University of Auckland. Loewen's research centers on instructed second language acquisition (ISLA) , second language interaction , and quantitative methodology , with particular focus on bridging SLA research and classroom practice. He investigates how teachers engage with research and how mobile-assisted language learning impacts pedagogy. His recent publications reveal strong trends in mobile language learning effectiveness (Duolingo/Babbel studies), research-practice interface challenges, and methodological rigor in SLA. He examines nonverbal feedback mechanisms, synchronous communication platforms, and pronunciation acquisition through both empirical and theoretical lenses. His scientific recognition includes: Fulbright award for Polish University collaboration (2021) As SLS program director, Loewen fostered the graduate community that earned MSU's 2018 Outstanding Graduate Program Community Award. Since 2018, he has served as associate editor of The Modern Language Journal while securing research grants including the Fulbright. Though specific advisees aren't listed, his leadership roles indicate active graduate mentorship across second language studies. Loewen maintains active involvement in the SLS program and collaborates on language learning technology projects, frequently addressing media inquiries about language app efficacy as seen in Kiplinger's 2024 coverage.

Jan von der AssenView profile

Researcher

• Holistic Cybersecurity
• Threat and Asset Management
• Security Economics
• +6 more

Jan von der Assen is a doctoral student at the Communication Systems Group (CSG) within the Department of Informatics at the University of Zurich . His research focuses on Holistic Cybersecurity , spanning Threat and Asset Management , Security Economics , and AI-powered Malware Mitigation . Education : MSc in Software Systems from University of Zurich (2021) Research Affiliations : Involved in 12+ national/EU projects (2021–2025) including CheeseChain , CONCORDIA , and DSI Cybersecurity . His work emphasizes Moving Target Defense (MTD) for IoT security, Decentralized Federated Learning with blockchain-based reputation systems, and Ransomware Detection using hypervisor-level system call monitoring. Recent publications include: GuardFS (JISA 2025) for Linux ransomware mitigation HyperDtct (IEEE CSR 2025) on hypervisor-based detection ThreatFinderAI (CNSM 2024) for LLM threat modeling

• Philology
• Russian Literature
• Theater Studies
• +5 more

Evgenya Abelyuk serves as Associate Professor at the School of Philological Studies within HSE University's Faculty of Humanities. She concurrently holds the positions of Chief Expert at the Centre for Digital Archival Studies and Programme Head for Contemporary Philology in Russian Language and Literature Instruction at Secondary Schools. Having joined HSE University in 2010, she maintains active roles in research, teaching, and academic leadership. Her educational background includes: 1975: Philological Degree from Lomonosov Moscow State University 1999-2001: Qualification Improvement in Philological Text Analysis (MIROS) 2005: Modern Text Analysis Methods (NIIRO) 2012: Work with Gifted Children (Moscow State University) 2015: Professional Internship in France (French Embassy Program) 2018-2021: Multiple advanced training programs in literary research and Russian language pedagogy Professor Abelyuk's research centers on philology , Russian literature (particularly Soviet-era works), and theater studies with specialized focus on Taganka Theater. Her work explores mythological language in art , digital commentary systems , and historical contexts of literary production. She pioneered the Digital Universal Commentary project, creating visual annotations for Soviet-era literary texts. Her recent publications (2020-2025) reveal three dominant trajectories: Bulgakov studies examining socio-political dimensions of his work; Taganka Theater analysis focusing on Yuri Lyubimov's directorial legacy; and digital humanities innovations in literary commentary. These intersect with her educational mission through textbooks and teacher training materials. Her scientific recognition includes: Best Teacher Award (2025) Best Teacher Award (2021-2022) Best Teacher Award (2017) Best Teacher Award (2013-2015) Professor Abelyuk supervises master's theses in philology while developing educational programs like the "Mentor's Seminar" and "Research Seminar on Reading Practices." Her grant work centers on digital projects including the Visual Commentary initiative and distance learning methodologies. She leads collaborative efforts through the Centre for Digital Archival Studies and maintains active partnerships with Taganka Theater researchers and international philological conferences.

• Multimedia publishing
• Communication design
• Interface Design
• +7 more

Professor Ulrich Nikolaus serves as a Professor of Multimedia Publishing and Communication Design at the Faculty of Computer Science and Media at Leipzig University of Applied Sciences (HTWK Leipzig). He has held this position since his appointment in December 2002 and currently serves as Chairman of the Examination Board for technical degree programs within the faculty. His academic journey began with computer science studies at Saarland University in 1988, followed by a degree in computer science in 1996, and culminated in his doctorate on 'Multimedia Learning in Companies' in October 2001. Nikolaus's research spans multimedia publishing, interface design, electronic publishing, and digital accessibility. His work emphasizes creating inclusive digital experiences, particularly through his longstanding collaboration with the German Central Library for the Blind (since 2011). He has directed significant projects including the redesign of the Egyptian Museum website in collaboration with Leipzig University, where students under his supervision developed design, content, and technical concepts. His scholarly contributions focus on advancing accessible digital publications, voice user interfaces, eye-tracking analyses for media research, and cross-media publishing workflows. Nikolaus has been instrumental in developing digital teaching strategies at HTWK Leipzig, serving on the 'Steering Committee for Inclusion' since 2018 and as a founding member of the Institute for Digital Teaching and Learning since 2019. Among his notable recognitions are membership in the Accessibility in Education Working Group of the IAAP-DACH since 2022, and his role as co-organizer of Leipzig's first World Usability Day in 2017. He has also contributed to international standards through his participation in the DAISY 2009 International Technical Conference. Nikolaus teaches across multiple courses including Media Production, Interface Design, Electronic Publishing, and Media Management at the Master's level. His educational philosophy integrates theoretical knowledge with practical application, evident in his supervision of student projects that address real-world challenges in digital media and accessibility.

Nader F. MirView profile

Professor

• Computer Networks
• Protocols
• TCP/IP
• +15 more

Dr. Nader F. Mir is a Professor of Electrical Engineering at San Jose State University, where he serves in the Charles W. Davidson College of Engineering within the Electrical Engineering Department. His office is located in Engineering Building E251 at One Washington Square, San Jose, California 95192. With extensive experience in academia and research, Dr. Mir has served as Department Associate Chair and continues to contribute significantly to the field of electrical engineering and computer networking. Ph.D. in Electrical Engineering, Washington University (1995) Author of the widely adopted textbook 'Computer and Communication Networks' (3rd Edition expected 2023-24) Holds US Patent 7,012,895 B1 for 'Packet-Switching Network with Symmetrical Topology' Series Technical Editor for IEEE Communications Standards Magazine (2015-present) Dr. Mir's research spans computer networks, protocols, TCP/IP, virtualization, AI, cloud data centers, network security, and multimedia networking. His work focuses on the intersection of theoretical networking principles and practical implementation challenges, particularly in emerging technologies like software-defined networking and network function virtualization. He has made significant contributions to understanding high-speed switching systems, multimedia streaming optimization, and cloud network architecture. His recent publications demonstrate a clear trajectory toward AI-driven network management, edge computing, and optimizing multi-tenant cloud environments. These works reveal his ability to adapt to evolving technological landscapes while maintaining focus on fundamental networking principles. The publications collectively showcase expertise across computer networking, cloud infrastructure, multimedia systems, and wireless communications. Nancy Wheeler Nelson Faculty Excellence Award (2017) Faculty Service Recognition Award (2017) Faculty Award for Excellence in Scholarship (2015) Faculty Author Award (2014) Most Effective Professor Award from IEEE-SJSU Society (2004) Dr. Mir has supervised numerous theses and graduate projects while serving on various Master's and PhD thesis defense committees. Beyond teaching and research, he has secured research grants including a CENIC Network Research Foundation grant for forest fire protection through surveillance sensor networks. His editorial work with IEEE publications has shaped discourse in communications standards and networking technologies. Dr. Mir's leadership extends to organizing major conferences including the IEEE International Conference on Computer Communication Networks and serving as chair for multiple international conferences.

• Network Performance Evaluation
• Software-Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +4 more

Thomas Erich Zinner is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), a position held since August 2019. Previously, he served as visiting professor and head of the FG INET research group at TU Berlin, and led the 'Next Generation Networks' research group at the University of Würzburg's Communication Networks chair. His educational background includes a diploma (2006) and Ph.D. (2012), both from the University of Würzburg. His research spans network architecture performance evaluation with emphasis on SDN/NFV and QoE-centric management approaches for emerging networks. Zinner's recent publications reveal strong trends toward intelligent 6G architectures integrating AI in the user plane, QoE-aware 5G resource allocation, and autonomic management of softwarized networks. His work combines theoretical modeling, simulation frameworks like OMNeT++, and practical implementations focused on real-world applicability in beyond-5G systems. He leads the Networking Research Group at NTNU working on the TeraFlow project, developing secure cloud-native SDN controllers for autonomic traffic management at massive scale. This initiative addresses critical challenges in next-generation network infrastructure through innovative controller architectures and flow management techniques.

Ivan ChorbevView profile

Assistant Professor

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +5 more

Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering , Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects. Education B.Sc., Faculty of Electrical Engineering, Skopje, 2004 M.Sc., Faculty of Electrical Engineering, Skopje, 2006 Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009 Research Interests His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services. Publication Trends Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine , social media analytics , and assistive technologies . A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights. Scientific Awards Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation. Projects & Funding Risk Assessment for Customs in Western Balkans – FP6 COST IC0602 Algorithmic Decision Theory – management committee member (FP6) COST IC1002 MUMIA – management committee member (FP7) E-HFISN – e-Health applications using folksonomy & social networks (FP7) TEMPUS – Innovation and Knowledge Management toward eStudent Information System Laboratory & Team He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.

Faith HollandView profile

Adjunct Associate Professor

• Gender studies
• Technology and intimacy
• Digital art
• +7 more

Faith Holland serves as an Adjunct Associate Professor in the Foundation School at Pratt Institute, where she teaches courses related to digital media, new media art, and internet culture. She maintains a parallel career as a professional multimedia artist with exhibitions at prestigious institutions including The Whitney Museum of American Art (New York), NRW Forum (Düsseldorf), Fotografisk Center (Copenhagen), and DAM Gallery (Berlin). Her academic work directly informs and intersects with her artistic practice, creating a cohesive exploration of technology's impact on human experience. Holland's research focuses on the intersection of gender, intimacy, and technology through diverse media including sculpture, performance, video, animated gifs, and net art. Her work employs humor and tenderness to critically examine our embodied relationships with digital technologies. Key areas include feminist technology studies, queer digital spaces, internet pornography critique, and the materiality of digital interfaces. Through projects like 'Improving, Non-Stop' and 'Artist's Statement,' she offers incisive commentary on digital beauty standards and art world rhetoric. Her artistic output reveals evolving interests from early explorations of digital eroticism and internet culture to more recent investigations of artificial intelligence and machine learning systems. Works like 'Artificial Intelligence Forced to Confront Its Own Death' represent innovative approaches where she trains AI models on organic decay processes, creating conceptual frameworks for technology to imagine mortality. This progression demonstrates her sustained engagement with emerging technologies while maintaining consistent critical perspective. Holland has received significant recognition including a 2021 New York State Council on the Arts grant, NYFA Fellowship Finalist status in Digital/Electronic Art, artist residencies at Jamaica Center for Arts and Learning and Harvestworks, and being a finalist for Fotomuseum Winterthur's Post-Photography Prototyping Prize. Her work has been critically acclaimed in major publications including Artforum, The New York Times, The New Yorker, and Hyperallergic. As both an educator and practitioner, Holland occupies a unique position at the intersection of academic discourse and contemporary art practice. Her teaching at Pratt Institute and the School of Visual Arts directly incorporates her professional experience, providing students with insight into the evolving landscape of digital art and technology criticism. She is represented by Microscope Gallery, which has presented her solo exhibitions in New York.

Muskaan SinghView profile

Lecturer

• Natural Language Processing (NLP)
• Computational Linguistics
• Artificial Intelligence (AI)
• +9 more

Muskaan Singh is a Lecturer in Data Analytics at the Intelligent Systems Research Centre (ISRC) within the School of Computing, Engineering and Intelligent Systems at Ulster University . A member of the Cognitive Analytics Research Lab (CARL) , her work bridges Natural Language Processing (NLP) , Artificial Intelligence , and Practical Applications in domains ranging from machine translation to biomedical diagnostics. Education: PhD in Machine Translation (Thapar Institute of Engineering and Technology, 2016-2020) Master’s in Machine Translation (IIIT Hyderabad, India) Her research spans NLP and AI with applications in code-switched language modeling , depression detection , social media analytics , and medical diagnostics . She has developed multilingual tools for automatic minuting, including DeepCon and ALIGNMEET , and contributed to EU-funded projects like ROXANNE (criminal network analysis) and ELITR (European Live Translator). Key scientific awards include first prizes in international NLP competitions (EVAL4NLP, LT-EDI, SMM4H) and recognition at EMNLP , ACL , and COLING . She received the Inclusion and Diversity Grant (EMNLP 2021) and GHC Scholarship (2019). Current projects include AI-EPOCMON (AI-Enabled Point-of-Care Monitoring) and T3-NCP (crime prevention for safer communities). Dr. Singh has supervised grants from UKRI and Alzheimer’s Research UK , focusing on AI for health and IT operations . Her team at ISRC collaborates globally with institutions in Switzerland , Czech Republic , and India . She also leads research for the Center for Data Science and Artificial Intelligence at IIIT Lucknow, India.

• Machine Learning
• Artificial Intelligence
• Federated learning
• +9 more

Rajesh M. Hegde is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His research spans multiple domains within artificial intelligence, signal processing, and communication systems. He has established himself as a leading researcher in multimodal information processing and has contributed significantly to speech and audio processing techniques. Education: PhD in Computer Science and Engineering, IIT Madras (2005) ME in Electronics Engineering, Bangalore University (1988) BE in IT Engineering, Mysore University Professor Hegde's research focuses on the intersection of machine learning, artificial intelligence, and signal processing, with particular emphasis on multimodal information fusion. His work bridges theoretical foundations with practical applications in speech recognition, wireless communication, and pervasive computing. He has made significant contributions to group delay analysis in speech processing and developed innovative approaches for speaker segregation and multimodal system design. His research has practical implications for improving human-computer interaction through more natural and context-aware interfaces. Analysis of his recent publications reveals a consistent focus on multimodal systems and speech processing, with increasing attention to federated learning approaches and wireless network applications. His work demonstrates a strong theoretical foundation combined with practical implementation expertise, particularly evident in his prototyping of multimedia acquisition systems. Scientific Awards: P.K Kelkar Research Fellowship (2009-2013) Mentor for best undergraduate engineering design project award at UC San Diego (2005-06) ISCA Grant for INTERSPEECH 2004 IIT Madras PhD thesis recommended for IBM best thesis award (2005) Programme Committee member for ISCA Winter schools Commendation by IIT Kanpur for teaching excellence Professor Hegde has supervised multiple research projects and mentored students in developing innovative multimedia systems. His work on multimodal situation awareness systems has received recognition for its interdisciplinary approach. He has secured research funding through fellowships and institutional support, enabling his laboratory to maintain cutting-edge research facilities. His laboratory is located in ACES 203 and 204 at IIT Kanpur, where his research team works on multimodal information processing, wireless communication systems, and speech/audio processing applications. The lab maintains strong connections with international research institutions, particularly through his involvement with ISCA and previous collaborations with UC San Diego.

Kwon Oh-jinView profile

Professor

• Image/video compression
• Image quality enhancement
• Image fusion
• +6 more

Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .

Chunyi PengView profile

Associate Professor

• Mobile Networking
• Network Security
• 5G/6G Technologies
• +4 more

Chunyi Peng is an Associate Professor in the Department of Computer Science at Purdue University's College of Science, where she leads the Mobile System, Security and Networking (MSSN) lab. She joined Purdue in Fall 2017 after serving as an Assistant Professor at the Ohio State University. Dr. Peng earned her Ph.D. in Computer Science from UCLA in 2013, with additional M.Eng and B.Eng degrees in Automation from Tsinghua University, both with highest honors. Prior to her academic career, she worked as an Associate/Assistant Researcher at Microsoft Research Asia. Her research focuses on mobile networking, systems, and security, with recent emphasis on innovating 5G/6G mobile network architecture, mobile network analytics, network verification, and security. She also explores efficient visual sensing and computing for IoTs, particularly through computer vision techniques for autonomous drones, vehicles, and robots. Her work bridges theoretical networking concepts with practical implementations, often developing tools like MobileInsight for cellular network analysis. Her recent publications reveal a clear research trajectory toward securing and optimizing next-generation mobile networks, particularly focusing on 5G/6G security vulnerabilities, emergency service reliability, drone-based network applications, and performance optimization. The work shows increasing integration of AI techniques with networking protocols and a growing emphasis on practical, real-world network measurement and validation. ACM Distinguished Member (2024) Best Community Paper Award at MobiCom'16 Best Demo Award at MobiCom'18 Best Community Paper Runner-up at MobiCom'22 Dr. Peng actively mentors numerous graduate students through the MSSN lab, with current research projects including AI for Networks, Mobile Network Security, AirLab for autonomous drones, and MI-LAB for network data analysis. She has secured significant research funding including NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE, CNS-2112471), Evolving Mobile Network Security (Cellular-911 Security: CNS-2246051), and Diagnostic Testing of Next-Generation Radio Access Network (CNS-2403048). The MSSN lab maintains an active research agenda with multiple ongoing projects that bridge academic research with practical applications, evidenced by numerous student successes including PhD defenses, conference awards, and industry placements at companies like Bytedance, Meta, and Amazon.