Find Academic Supervisors

• 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.

• 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.

Chris SniderView profile

Associate Professor

• Generative Artificial Intelligence
• Social Media Strategy
• Smartphone Video Production
• +3 more

Chris Snider is an Associate Professor at Drake University's School of Journalism & Mass Communication since 2010, where he teaches web design, social media strategy, and multimedia courses. He also co-owns Innovation Profs LLC, specializing in generative AI training for businesses. B.A. from University of Iowa (1998) MBA from Drake University (2013) His research focuses on generative AI , social media , and smartphone video applications in digital communication. Workshop leadership includes over 30 sessions on topics like video editing, podcasting, and LinkedIn branding between 2010-2025. Notable awards include Gannett's top digital editor (2008) and Presstime 20 Under 40 recognition (2008). He serves as digital media advisor to Des Moines companies and leads community workshops on emerging technologies. Professional history: Assistant Managing Editor for Digital & Innovation at Des Moines Register (2007-2010) News Design Director at St. Louis Post-Dispatch Early career at Baltimore Sun

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.

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.

Francesc Alías PujolView profile

Professor

• Speech Processing
• Acoustic Signal Processing
• Text-to-Speech Synthesis
• +7 more

Francesc Alías Pujol is a Professor at the Department of Engineering, Ramon Llull University (La Salle Campus Barcelona), where he also serves as Director of Teaching and Research Staff Policies since September 2019 and coordinates the PhD Program in Information Technologies since February 2022. He is a researcher in the Human-Environment Research (HER) group, focusing on speech and acoustic signal processing for natural human-machine interaction. His educational background includes: BSc in Telecommunications Engineering (1997) MSc in Electronics Engineering (1999) PhD in ICT and their application in Management (2006) MBA in Business Administration (2013) University Expert Program in Digital Transformation (2023) Dr. Alías's research primarily focuses on signal processing, with special emphasis on speech and acoustic signal processing to achieve natural interaction between humans, machines, and their environment. His work spans from Text-to-Speech (TTS) synthesis to vocal biomarkers for digital health applications, numerical voice simulation, and environmental acoustics. He has developed expertise in expressive speech analysis and synthesis, sound source identification, and smart city applications through wireless acoustic sensor networks. His publication record shows a consistent trajectory in speech and acoustic processing, with recent work focusing on the impact of global events like the COVID-19 pandemic on urban soundscapes, advanced techniques for glottal source analysis, and the development of algorithms for anomalous noise event detection in smart city applications. His research bridges theoretical signal processing with practical applications in environmental monitoring and human-computer interaction. Dr. Alías has received numerous scientific awards including: 3rd six-year research merit (2018-2023) from AQU Catalunya Most cited paper in Noise Mapping (2021) for his work on COVID-19's impact on urban noise 2nd six-year research merit (2012-2017) from AQU Catalunya Best academic record award for his MBA (2013) Multiple best paper awards from the Spanish Thematic Network on Speech Technology He has led and participated in numerous research projects including DISTRESIA (stress biomarker identification), FEMVoQ (3D voice simulation), SUARAMAP (acoustic monitoring for dementia detection), GENIOVOX (expressive voice generation), and DYNAMAP (dynamic noise mapping). His work has been supported by various funding bodies including the European Commission, Spanish Ministry of Science, and Catalan Government. As coordinator of the PhD Program in Information Technologies and former Director of the Department of Engineering (2014-2021), Dr. Alías plays a significant role in academic leadership at La Salle-URL. His research group focuses on the intersection of speech processing, environmental acoustics, and smart city applications, contributing to both theoretical advancements and practical implementations in these fields.

János KataView profile

Senior Lecturer

• Educational Sciences
• Technical Pedagogy
• Vocational Education
• +5 more

János Kata is a Senior Lecturer at the Department of Technical Pedagogy , Budapest University of Technology and Economics (BME), Faculty of Economics and Social Sciences. His work focuses on technical pedagogy, higher education assessment, and vocational training processes. With a background in mechanical engineering and engineering teacher education, he has contributed extensively to understanding student failure phenomena, group assessment methods, and lifelong learning frameworks. Research Trends: Analysis of student performance, technology integration in education, and optimization of vocational training using system engineering models. Key Publications: Books and conference papers on learning technology, brainstorming-based assessment, and cultural dimensions of education (2013-2000). Academic Affiliations: Active member of BME's Department of Technical Pedagogy since 1999. Holds degrees in mechanical engineering and engineering pedagogy from BME. Notable Contributions: Development of operation research teaching methods for technical educators and system engineering models for vocational training optimization. His 1999-2013 works bridge theoretical pedagogy with practical industrial education needs.

• English for Specific Purposes
• English for Academic Purposes
• Multimodal Analysis
• +7 more

Larissa D'Angelo is an Associate Professor of English Language and Translation at the University of Bergamo , affiliated with the Department of Foreign Languages, Literatures and Cultures . She leads the Eye Tracking Lab within the Research Group on Digital Humanities (ReDH) and is a member of the Research Center on Languages for Specific Purposes (CERLIS) . Her academic background includes an MA in English Language from Youngstown State University (USA), a TESOL Certificate , a Certificate in Children's and Young Adult Literature , and a PhD in Applied Linguistics from the University of Reading (UK). Her research focuses on English for Specific Purposes , multimodal analysis , and eye-tracking studies , particularly in audiovisual translation , game localization , and academic communication . She has supervised theses on topics like AVT and cultural prosumer dynamics , multimodal text design , and AI in translation , though she emphasizes that AI usage is strictly prohibited in thesis work. Her publications explore the intersection of digital communication , metadiscourse , and translation theory , with a focus on visual and textual academic genres and pedagogical applications . She actively collaborates on projects like Erasmus+ initiatives for climate-resilient education.

Pedro Antonio Palmer RodríguezView profile

Senior Lecturer

• Computer Graphics
• Image Processing
• Mobile Application Development
• +5 more

Dr. Pedro Antonio Palmer Rodríguez serves as Senior Lecturer in the Department of Informatics Engineering at the University of the Balearic Islands' School of Mathematics and Computer Science. With continuous service since 1993, he teaches core theoretical and practical computer science subjects across multiple campuses including Majorca, Ibiza, and Minorca. His research focuses on multimedia technologies with specializations in: Image synthesis and deformable object representation Mobile and television application development Social media content analysis systems Algorithmic language implementations As an active member of both the Multimedia Information Technology (TIM) and Computational Biology and Bioinformatics (BIOCOM) research groups, he bridges theoretical computer science with practical multimedia applications. His current teaching portfolio emphasizes compilers, theory of computation, and final degree projects across various Informatics Engineering programs. Dr. Palmer Rodríguez maintains regular office hours in Anselm Turmeda building (Room 142) and supervises student research through the university's Informatics Engineering programs. His academic journey includes completing both undergraduate and doctoral studies at UIB, with his PhD awarded in 2014 after two decades of teaching experience.

• Signal Processing
• Machine Learning
• Computer Engineering
• +3 more

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

Shigeru EguchiView profile

Senior Lecturer

• Japanese Pedagogy
• Japanese Grammar

Shigeru Eguchi is a Senior Lecturer in Japanese at Columbia University's Department of East Asian Languages & Cultures, where he has taught all levels of Japanese since 2006. He also serves as the Administrative Director of Columbia's Summer MA Program in Japanese Pedagogy and has prior teaching experience at Middlebury College’s Summer Program in Japanese and the Hokkaido International Foundation. BA: Teaching of English, Ibaraki University MA: Japanese Pedagogy, University of Iowa Eguchi specializes in Japanese pedagogy and grammar, with a focus on creative teaching methodologies. His work integrates haiku, video projects, and authentic cultural materials into language instruction to enhance learner engagement and proficiency. He has developed innovative curricula and textbooks tailored for intermediate-level Japanese learners. His publications and teaching materials emphasize curriculum development, cultural context integration, and contextualized language acquisition. Notably, Hiyaku: An Intermediate Japanese Course (2011) exemplifies his commitment to combining pedagogical rigor with multimedia resources.

Joanna MasingilaView profile

Professor

• Teacher Development
• Teacher Educator Development
• Mathematical Knowledge for Teaching Teachers
• +3 more

Joanna Masingila is a Laura J. and L. Douglas Meredith Professor for Teaching Excellence and Professor of Mathematics and Mathematics Education at Syracuse University. She holds a dual faculty appointment in the School of Education (Department of Teaching and Leadership) and the College of Arts and Sciences (Department of Mathematics). From January 2014 to July 2021, she served as Dean of the School of Education. Her extensive career combines mathematics education scholarship with international educational development work, particularly in Kenya where she has worked for over 20 years. Ph.D. Mathematics Education (Double Cognate: Mathematics), Indiana University, Bloomington, 1992 M.S. Mathematics Education (Major: Mathematics), Indiana University-Purdue University at Indianapolis, 1987 B.A. Mathematics, Goshen College, 1982 Masingila's research centers on bridging the gap between formal schooling and real-world mathematical practices. Her work examines teacher development, teacher educator development, mathematical knowledge for teaching teachers, and students' out-of-school mathematics practice. She has made significant contributions to understanding how mathematics is used in everyday contexts and how this knowledge can inform classroom instruction. Her research often takes an international perspective, particularly focusing on educational practices in Kenya and other African nations. Her publication record reveals a consistent focus on connecting school mathematics with real-world applications while addressing systemic challenges in mathematics education. Early work examined mathematics practices in everyday situations like carpet laying, while more recent research investigates teacher preparation, professional development, and international education comparisons. A significant portion of her scholarship addresses the challenges of teaching mathematics in resource-constrained environments, particularly in Kenya where she has conducted extensive fieldwork. Excellence in Graduate Education Faculty Recognition Award, Syracuse University, 2006 Martin Luther King, Jr. Unsung Hero Award, Syracuse University, 2005 Laura J. and L. Douglas Meredith Professor for Teaching Excellence, Syracuse University, 2003 Gateway Fellow, Syracuse University, 2002 Fulbright Scholar Award, Kenyatta University, Nairobi, Kenya, 1997-1998 Masingila has secured over $7 million in research funding from prestigious sources including six National Science Foundation grants, two United States Agency for International Development awards, and two International Research and Exchanges Board grants via the U.S. Department of State. She has advised numerous graduate students and developed more than 30 multimedia case studies examining issues in teaching practice. Currently, she serves on the Professional Standards and Practices Board for Teaching for New York State and remains active in policy and advocacy work for teacher and leader education at multiple levels. Her international work extends beyond research to include extensive professional development for teachers and teacher educators in Kenya. She has collaborated with Kenyatta University, the University of Embu, and various Kenyan secondary schools to improve mathematics education practices. Her recent study abroad programs have brought Syracuse University students to Kenya to examine educational systems and practices firsthand, creating reciprocal learning opportunities between American and Kenyan educators.