Find Academic Supervisors

• Health-related Quality of Life
• Health Economic Evaluation
• Public Health
• +7 more

Juliana Schmidt is a Researcher at the Faculty of Health Sciences , Working Group 5 Health Economics and Health Management at Bielefeld University. She holds an M.Sc. in Public Health and a B.Sc. in Health Communication, both from Bielefeld University. Her research focuses on health-related quality of life , health economic evaluation , and respiratory syncytial virus (RSV) diagnostics. 2015: General higher education entrance qualification 2015-2016: Federal Voluntary Service (Bundesfreiwilligendienst) in a Munich hospital 2016-2019: B.Sc. in Health Communication at Bielefeld University 2019-2021: M.Sc. in Public Health at Bielefeld University Her recent publications analyze measurement properties of HRQoL instruments , statistical adjustments for RSV misclassification , and telemedicine adoption trends . She contributes to projects like DigiSep (funded by the German Federal Government) and Impact of medical diagnosis on German EQ-5D values . Her work combines empirical research with policy-relevant data analysis . Current research themes include: Comparative analysis of EQ-5D-5L and Stroke Impact Scale 2.0 Validity studies of ICD-10 codes for RSV Telemedicine utilization patterns in outpatient care Risk factor analysis for herpes zoster infections She actively participates in third-party funded projects and contributes to peer-reviewed journals and conference proceedings .

Neil KlingensmithView profile

Assistant Professor

• Cyber-physical systems
• Internet of Things (IoT)
• Embedded systems
• +4 more

Neil Klingensmith is an Assistant Professor of Computer Science at Loyola University Chicago, specializing in hardware-software co-design for cyber-physical systems. His research focuses on making IoT systems more efficient, reliable, and secure while maintaining strong educational leadership in operating systems and embedded systems courses. PhD in Computer Engineering from University of Wisconsin (2019) MS in Computer Engineering from University of Wisconsin (2016) BS in Electrical Engineering from University of Wisconsin (2010) Klingensmith's research spans three major areas: IoT Security : Innovating secure device authentication through environmental signals (power line noise, electromagnetic radiation) and analyzing vulnerabilities in automotive and conferencing systems Low-power Embedded Systems : Developing energy-efficient sampling techniques and hypervisor-based privacy agents for mobile/IoT devices Operating System Design : Exploring userland containers, real-time hypervisors, and memory management frameworks His recent publications demonstrate focus areas in authentication mechanisms , secure device pairing , and mobile virtualization . With 15+ years of academic and industry experience, he has secured significant funding including: $500k NSA NCAE grant (2023-2024) $250k NSF OAC grant for low-power computer vision (2021-2024) $110k US Department of Energy Fellowship (2013-2015) His students have successfully placed at major companies including Amazon, Google, and Boeing while advancing research in: Secure firmware development Real-time OS implementation Hardware authentication techniques Memory management optimization Embedded system design As co-founder of Emonix, he bridges academic research with commercial applications in HVAC automation. His patents in context-based device pairing demonstrate practical impact of his theoretical work.

Rafał MantiukView profile

Professor

• Visual Perception
• High Dynamic Range (HDR) Imaging
• Display Algorithms
• +10 more

Rafał Mantiuk is a Professor of Graphics and Displays at the Department of Computer Science and Technology , University of Cambridge, UK. He leads the Rainbow Research Group and works on visual perception, display algorithms, and computational imaging. His academic journey includes a PhD (summa cum laude) from Max-Planck-Institut (2006) and an MSc from Technical University of Szczecin (2003). His research spans applied visual perception , high dynamic range imaging , display algorithms , and machine learning for image synthesis . Recent work focuses on ColorVideoVDP (HDR video metrics), AR-DAVID (AR display artifacts), and elaTCSF (flicker modeling). His methodologies combine psychophysics with computational models to enhance display technologies. His awards include: SIGGRAPH Test-of-Time Award (2023) ICME Grand Challenge Second Place (2025) CIC Best Paper Awards (2022, 2020) Human Vision and Electronic Imaging Best Paper (2020) Heinz Billing Award (2006) Key grants: ERC Consolidator Grant (2017) for EyeCode, MSCA RealVision (2018), and EPSRC funding (2017, 2011). He supervises projects involving novel display technologies like HDR multi-focal stereo displays and 10-bit LCD systems.

Joo Won ParkView profile

Associate Professor

• Electroacoustic composition
• Music technology
• Electronic ensemble performance
• +4 more

Joo Won Park is an Associate Professor of Music Technology at Wayne State University, creating experimental electroacoustic compositions through electronics, toys, and everyday objects. His work has been featured at international festivals (ICMC, SEAMUS) and released across multiple labels (MIT Press, PARMA). He received the Kresge Arts Fellowship (2020) and Knight Arts Challenge Detroit (2019). Teaches courses like Theories of Electronic Music and Advanced Synthesis Director of Electronic Music Ensemble of Wayne State (EMEWS) which toured nationally Park's research focuses on making mundane sounds musical through creative coding and hardware manipulation. His 100 Strange Sounds YouTube series and Overundertone album archive his exploration of sonic possibilities in everyday environments. He emphasizes portability, affordability, and replicability in electronic instrument design. His electroacoustic works explore themes like human-machine interaction , game controller performance , and playful sound manipulation . The PS Quartet No.1 exemplifies his interest in video game muscle memory and controlled randomness in live performance. Scientific awards include: Knight Arts Challenge Detroit (2019, 2021) Kresge Artist Fellowship ($25,000, 2020) New Music USA Grant (2019) Active in the electroacoustic community as: Board member, Society for Electroacoustic Music in the United States Editorial member, Korean Electroacoustic Music Society Associate Director, Third Practice Electroacoustic Music Festival

HüseyinView profile

Lecturer

• Educational Technology
• Science Education
• STEM Education
• +3 more

Hüseyin serves as a Lecturer in the Department of Graphics at Kırıkkale University's Vocational School, holding this position since 2018 while concurrently managing the university's Press, Broadcasting and Public Relations Unit from 2018-2022. His academic foundation stems from Gazi University, where he completed all degrees in Fine Arts Education with specialization in Painting. His educational credentials include: PhD in Fine Arts Education (Gazi University, 2017-2024) Master's in Painting Education (Gazi University, 2017) Bachelor's in Painting Education (Gazi University, 2013) Hüseyin's research bridges educational technology with science pedagogy, focusing on AI-driven learning analytics, augmented reality applications, and computational thinking development. His work investigates how digital interventions like game-based learning and flipped classrooms transform conceptual understanding in physics concepts such as pressure systems and Hooke's law, while simultaneously cultivating 21st-century skills including entrepreneurial thinking and creative problem solving through Arduino-based STEM activities. Analysis of his publication trajectory reveals three dominant research vectors: (1) AI-enhanced misconception detection using NLP techniques, (2) immersive laboratory environments combining AR with traditional POE strategies, and (3) physical computing integration for developing algorithmic thinking. His recent 2023-2025 publications demonstrate increasing emphasis on educational data mining for personalized instruction and entrepreneurship skill cultivation within STEM contexts. No scientific awards were documented in the provided materials. Hüseyin's project portfolio includes achievement test development for physics concepts and experimental activity design for teacher training. His work spans formal classroom settings, university laboratories, and out-of-school learning environments, with notable focus on adapting REACT strategy implementation and flipped classroom models for laboratory instruction. Current projects emphasize AI-supported differentiated instruction and computational thinking development through tangible interfaces. His laboratory research examines the comparative effectiveness of virtual, computer-based, and augmented reality environments on student skills acquisition, with particular attention to graphical interpretation competencies and attitude formation. Collaborative knowledge construction remains central to his approach, as evidenced by consistent application of learning cycle models across diverse experimental contexts.

Ben JohansenView profile

Senior Lecturer

• Music Composition
• Computer Music
• Electroacoustic Music
• +3 more

Ben Johansen, PhD is a Senior Lecturer in Composition & Computer Music at the University of North Texas School of Music , with nearly two decades of experience merging coding, music, and technology in creative projects, teaching, and research. His work spans acoustic and electronic music , improvisation , and the intersection of art and Christianity . Education: Bachelor’s in Music Education, Baylor University Master’s in Music Composition, Baylor University PhD in Music (Composition + Computer Media specialization + Installation Art minor), University of North Texas Johansen’s research emphasizes intuitive interactions, modularity , and physical computing , utilizing tools like Max, Arduino, JavaScript , and Logic Pro . His compositions often integrate interactive computer systems with traditional and electronic instruments, as seen in works like Light Box (Arduino-controlled metal sculptures with RGB LEDs) and Recycled Sound (sound-making metal sculptures). As webmaster for the Baylor School of Music , he redesigned their website in 2017 and is currently updating it in Drupal . His teaching portfolio includes courses in Technology for Musicians , Electroacoustic Music Composition , and advanced individual lessons. Contact: b_johansen@baylor.edu | benjohansen.com

Erik AndersenView profile

Assistant Professor

• Information Science
• Cognitive Science
• Educational Technology
• +7 more

Erik Andersen is an Assistant Professor at the Department of Computer Science in the College of Engineering at Cornell University . His research focuses on Educational Technology , Human-Computer Interaction , and Game Design . He develops interactive systems that use games for education, particularly in programming and language learning domains. Teaching: CS/INFO 6360 (Educational Technology), CS/INFO 4154 (Analytics-driven Game Design) Key Collaborations: Working with Zoran Popović and Ross Knepper on educational game frameworks Research Themes include gamified learning, adaptive educational systems, and AI-driven progress analysis. His recent work explores progression synthesis in Korean language games and implicit communication in human-AI teams. He uses techniques from machine learning and data visualization to create effective educational tools. Scientific Recognition: Mr. and Mrs. Richard F. Tucker '50 Teaching Award (2017) Minister of Education Japan Prize (2011) Grand Prize at Disney Learning Challenge (2010) Best Paper Nomination at AIIDE (2012)

Sanjeev R. KulkarniView profile

Professor

• Machine Learning
• Pattern Recognition
• Information Theory
• +6 more

Sanjeev R. Kulkarni is the William R. Kenan, Jr., Professor of Electrical and Computer Engineering and Professor of Operations Research and Financial Engineering at Princeton University. He serves as Dean of the Faculty and is affiliated with the Department of Philosophy and the Center for Statistics and Machine Learning. His career spans roles as Dean of the Graduate School (2014-2017), Director of the Keller Center (2011-2014), and Master of Butler College (2004-2012). His research intersects machine learning , information theory , and wireless networks , focusing on statistical pattern recognition, nonparametric estimation, and econometrics. He has pioneered work in universal information estimation , energy-efficient wireless communication , and distributed learning in sensor networks. Recent publications highlight his work in forecast aggregation , robust geometric fitting , and variational Bayesian methods . These span communications , machine learning , and signal processing applications. Scientific awards include the ARO Young Investigator Award , NSF Young Investigator Award , and IEEE Fellowship . He has received Princeton's President's Award for Distinguished Teaching and multiple Undergraduate Engineering Council Excellence Awards . Prof. Kulkarni has advised 19 PhD students, including notable alumni at IBM, Google, Amazon, and RAND Corporation. His teaching spans four departments and includes courses like Learning Theory and Epistemology (cross-listed with Philosophy) and Wireless Revolution (telecom policy).

• Video Coding
• Medical Imaging
• Video Processing
• +3 more

Mary Comer serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Purdue University's College of Engineering, a position she has held continuously since August 2005. Prior to this academic appointment, she accumulated ten years of industrial research experience (1995-2005) at Thomson in Carmel, Indiana, specializing in video technologies for diverse entertainment and security applications. Her academic credentials include: PhD in Electrical Engineering from Purdue University (1995) Dr. Comer's research program centers on video coding and medical imaging , building directly upon her industrial background in video processing for high-definition DVD, Internet video delivery, satellite television, and security/surveillance systems. This work bridges theoretical signal processing with practical implementations in consumer multimedia and healthcare imaging domains, emphasizing real-world applicability of engineering solutions. No scientific awards or honors were documented in the source material. Details regarding graduate student mentorship, research grant funding, and laboratory facilities were not specified in the provided text, though her dual industry-academia trajectory suggests strong translational research capabilities.

Enrico GlereanView profile

Researcher

• Cognitive Neuroscience
• Neuroimaging
• Functional MRI
• +7 more

Dr. Enrico Glerean is a Staff Scientist at the Aalto School of Science , core member of Aalto Scientific Computing (managing the Triton high-performance computing cluster), and active in research software training. He contributes to GDPR compliance, data anonymization, and secure research workflows as part of the Aalto Data Agents network , European Data Protection Board, and Finnish Reproducibility Network . His academic affiliation is with the Department of Neuroscience and Biomedical Engineering . Expertise: Cognitive neuroscience, brain imaging, open science advocacy Leadership: Academic Affairs Committee, Making Waves initiative for women in STEM His research combines neuroimaging with real-world digital phenotyping , focusing on functional brain connectivity, embodied emotions, and MRI methodological development. Recent work explores environmental influences on brain networks (2024) and emotion-body mapping (2024). Publications span journals like NeuroImage and PLoS Biology , often integrating machine learning with neuroscience. Scientific awards include: 16th Novartis Neuroscience Award (2016) Best doctoral dissertation 2016 (Aalto School of Science) Aalto Scientific Communication Award (2018) Kordelin Foundation scholarship (2018) He contributes to research ethics education and promotes responsible generative AI use. His work bridges technical computing expertise with cognitive neuroscience applications, particularly in autism spectrum disorders and emotion processing.

Yago Sánchez de la FuenteView profile

Researcher

• Video Coding
• Adaptive Streaming
• Mobile Networks
• +8 more

Yago Sánchez de la Fuente is a Research Associate at the Image Communication Group of Prof. Thomas Wiegand at Technische Universität Berlin and a guest researcher at Fraunhofer HHI . His work focuses on adaptive streaming services for IPTV/OTT and mobile networks, with technical expertise in HEVC/SHVC, LTE optimization, and satellite backhauling. Key research areas: Adaptive streaming over LTE, compressed domain video processing, and standardization protocols (IETF, 3GPP, MPEG) Project leadership: FP7 OPTIBAND (adaptive streaming optimization), ESA COSAT (satellite backhauling for LTE) Standardization contributions: Co-author of the IETF RTP Payload Format for H.265/HEVC Video Current projects: Mobile TV over LTE, Virtual Reality 360° video, and VVC system integrations He previously collaborated with Alcatel Lucent-Bell Labs (USA) on low-delay HTTP streaming optimization and is actively involved in international research groups like the Multimedia Communications team.

• Performance Art
• Drawing
• Creative Practice
• +7 more

Katarina Rankovic is a Lecturer in Fine Art Painting and Print-Making at The Glasgow School of Art , affiliated with the School of Fine Art . Her practice bridges drawing, performance, and text-based art to interrogate identity, agency, and embodiment. Education : PhD in Art from Goldsmiths, University of London (2023) Her research explores distributed subjectivity , chameleonic identity , and artificial intelligence in creative practice , often employing code switching and transformation as methodological tools. Publications like The Shape of a Thinking Thing (2021) and When Pigment Masquerades as Light (2023) highlight her focus on the interplay between physical media and conceptual frameworks. Trends in her work include performance art , text-based installations , and experimental narrative structures , frequently interrogating fluidity of identity and empathetic engagement with fictional personas.

Arsha NagraniView profile

Researcher

• Machine Learning
• Multi-modal Learning
• Computer Vision
• +5 more

Arsha Nagrani is a senior research scientist at Google AI Research , focusing on machine learning for video understanding. She earned her PhD at the University of Oxford under Andrew Zisserman with a Google PhD Fellowship , and completed her undergraduate studies at the University of Cambridge with mentorship from Roberto Cipolla and Richard Turner. Research Interests : Self-supervised and multi-modal machine learning Video recognition using sound and text Computer vision for wildlife conservation Cross-modal self-supervision in biometric matching Transformer-based architectures for temporal modeling Zero-shot learning with frozen models Scientific Awards : ELLIS PhD Award Google PhD Fellowship ICASSP 2021 Outstanding Paper Award INTERSPEECH 2017 Best Student Paper Award Service Contributions : Area Chair for CVPR23, ICCV23 Reviewer for top conferences (CVPR, ECCV, ICCV, BMVC, NeurIPS, ICML, AAAI) Organized workshops: Sight and Sound Workshop @ CVPR [2020-2022] VoxSRC Challenges @ INTERSPEECH Video Understanding Pentathlon @ CVPR 2020 Women in Computer Vision (WiCV) Workshops

Alper ÇelikelView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Data Science
• +2 more

Dr. Alper Çelikel is an Associate Professor at the Department of Computer Engineering, Faculty of Engineering and Natural Sciences, İstanbul Okan University. He specializes in machine learning, artificial intelligence, and data science with specific focus areas including natural language processing, computer vision, and optimization of neural network architectures. Education: PhD in Computer Science from Boğaziçi University (2014) Research Focus: Deep learning, cross-lingual systems, and multi-modal learning Leadership: Director of Research and Development Policy at İstanbul Okan University His recent research explores hybrid CNN-Transformer architectures, federated learning in healthcare, and explainable AI frameworks. He has received prestigious awards including the TÜBİTAK Career Award (2018) and Turkish Academy of Sciences Young Scientist Award (2015). Dr. Çelikel has supervised multiple graduate researchers and actively contributes to curriculum development and academic quality assurance initiatives. TÜBİTAK Career Award (2018) Turkish Academy of Sciences Young Scientist Award (2015) As an academic leader, he chairs the Research and Application Centers Directorate and contributes to university-wide policy development including information security, education, and research protocols.

• Video Coding
• Machine Learning
• Artificial Intelligence
• +10 more

Prof Anil Fernando is a Professor in Video Coding and Communications at the Department of Computer and Information Sciences , University of Strathclyde. He leads the video coding and communication research team and has extensive experience in multidisciplinary projects, including technical coordination of international/national initiatives. His work bridges academic research with real-world applications in media technologies, EU broadcasting, and health diagnostics. Education : PhD in Computer Science (Video Coding and Communications), University of Bristol Qualifications : BSc (First Class), MSc (Distinction), Post Graduate Diploma in Education Research Focus : Anil Fernando specializes in Video Coding , Quantum Communication , and AI/ML Applications in media and health sectors. His work includes energy-efficient neural networks for transmission systems and quantum communication advancements for high-fidelity image/video delivery. Publication Trends : Recent articles emphasize quantum communication with MIMO systems , multi-qubit techniques , and AI-driven energy optimization . Honors : IEEE Senior Member Teaching & Advising : He teaches courses in Image Compression , Digital Communications , and Signal Processing . Supervised 56 PhD students and 30 research fellows. Current PhD projects include topics ranging from 5G/6G Media Applications to AI for Animal Health .