Find Academic Supervisors

• Biomechanics
• Gerontology
• Chronic Obstructive Pulmonary Disease (COPD)
• +5 more

Dr. Jenna Yentes is an Associate Professor in the Department of Kinesiology and Sport Management at Texas A&M University, affiliated with the College of Education and Human Development. Her research focuses on functional resiliency in aging populations, biomechanics of chronic obstructive pulmonary disease (COPD), and nonlinear analysis of human movement. She leads studies on gait stability, respiratory-gait coupling, and exoskeleton-assisted walking. Notable contributions include quantifying locomotor reserve and exploring firefighter performance in protective gear. Education: Ph.D. in Biomechanics (University of Nebraska, 2013), M.S. in Kinesiology (California State University Fullerton, 2006), B.A. in Kinesiology (University of Northern Colorado, 2000). Research Interests: Reserve capacity in older adults' mobility and cognition Biomechanical adaptations in COPD patients Methodological rigor in nonlinear data analysis (e.g., entropy metrics) Firefighter physical performance under protective gear Recent Articles Trends: Focus on entropy-based gait analysis, COPD biomechanics, dual-task interference in aging, and exoskeleton effects on interlimb coordination. Methodological rigor in parameter selection for nonlinear algorithms is a recurring theme. Awards: 2023 Faculty Climate Award (Texas A&M), 2019 Promising Scientist Award (International Society of Posture and Gait Research), and 2019 Chancellor's Commission on the Status of Women Award (University of Nebraska). Advising & Grants: Mentors graduate students (noted in publications) and collaborates with TEEX Fire Academy and multiple Texas A&M research centers including the Huffines Institute for Sports Medicine and the Center for Population Health and Aging. Research supported by institutional and federal grants. Labs/Teams: Active in Texas A&M's Human Movement and Aging Lab, collaborating with interdisciplinary teams in sports medicine, rehabilitation engineering, and pulmonary research.

Steve BellView profile

Professor

• Auditory Neuroscience
• Biomedical Engineering
• Hearing Aid Technology
• +3 more

Professor Steve Bell is a faculty member at the University of Southampton, specializing in auditory neuroscience and biomedical engineering. He leads the EPSRC-funded project 'Personalized fitting and evaluation of hearing aids with EEG responses' and is a registered Clinical Scientist. His research focuses on measuring brain responses to sound for hearing and balance system evaluation, optimizing hearing aid technologies, and improving diagnostic methods for infants and elderly patients. He manages the Hearing and Balance Centre Clinic and holds roles in professional organizations like the International Evoked Response Audiometry Study Group. Education & Roles: Professor at University of Southampton Lead researcher on EPSRC project (2015-2025) Council member, International Evoked Response Audiometry Study Group Research Interests: Steve's work centers on evoked responses in hearing and balance systems, evaluating hearing aids/cochlear implants, and developing objective neurophysiological assessment techniques. His lab explores speech processing, signal analysis, and clinical applications of EEG-based methods. Awards: Vice-Chancellor's Teaching Award (201X) Advising & Grants: Accepting PhD students in audiology and biomedical engineering. Principal investigator on EPSRC grant £X million. Collaborates with Prof. David Simpson and Dr. Ben Lineton in the Signal Processing Audio and Hearing Group. Labs & Teams: Part of the Signal Processing Audio and Hearing Group, focusing on technological innovation in auditory signal processing and audiological diagnostics.

Monty A. EscabiView profile

Associate Professor

• Auditory Neuroscience
• Neural Engineering
• Signal Processing
• +3 more

Monty A. Escabi is an Associate Professor at the University of Connecticut. His research focuses on understanding the neural mechanisms underlying auditory perception and sound recognition, combining large-scale neural recordings with computational modeling and machine learning. He explores how the brain processes sounds in complex environments, aiming to develop advanced sound recognition technologies and treatments for hearing loss. Education: B.S., Electrical Engineering, Florida International University, 1993 M.S., Electrical Engineering: Signal Processing and Stochastic Modeling, Columbia University, 1995 Ph.D., Bioengineering, University of California at Berkeley and San Francisco, 2000 Research Interests: Dr. Escabi investigates the computational principles of natural hearing, focusing on spectrotemporal processing in auditory pathways. His work bridges signal processing and neuroscience to uncover how neural circuits encode sound features like temporal periodicity and acoustic envelopes. The Escabi Lab also develops neurotechnologies for high-resolution auditory cortex recordings. Grants & Collaborations: National Science Foundation ($890,842): Cortical Specializations for Behavioral Discrimination of Temporal Shape and Rhythm of Sound (2014–2018) National Institutes of Health ($1,448,437): CRCNS: Role of Statistical Regularities in Neural Sound Coding (2015–2020) Laboratory: The Escabi Lab (http://escabilab.uconn.edu) specializes in auditory neuroscience, employing multi-disciplinary approaches to study neural coding and its translational applications in hearing technology.

Al BarrView profile

Professor

• Computer Graphics
• Predictive Modeling
• Scientific Visualization
• +5 more

Alan H. Barr is a Professor of Computer Science at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science and the Computation & Neural Systems (CNS) department. He is a founding member of the Caltech Computer Graphics Group and a leader in developing mathematically rigorous methods for computer graphics and predictive modeling. His research focuses on enhancing computational modeling accuracy through approaches like interval analysis and constraint-based systems. Notable contributions include deformable models, quaternion interpolation, and cellular simulation frameworks. He has advised over 20 graduate students, many of whom became industry leaders at Pixar, Microsoft Research, and academic institutions like NYU and Brown University. Awards include the ACM SIGGRAPH Achievement Award (1988) and ACM Fellow (1995). Research Interests: Predictive modeling with error bounds Scientific visualization and MRI data analysis Biophysical systems simulation (e.g., cellular organelles) Self-assembling robotic structures for space colonization Mathematically robust computer graphics techniques Key Collaborations: Caltech Biological Imaging Center (Beckman Institute) JPL (Jet Propulsion Laboratory) New computational substrates research (quantum/DNA computing) Recent Work: Expanding into computational biology, medical imaging optimization, and high-confidence systems for managing complex computational interactions. Active in interdisciplinary projects across Caltech divisions.

• Embedded Systems
• System-on-Chip (SoC) Design
• Computer Architecture
• +5 more

Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.

• Architectural History
• Islamic Studies
• Intellectual History
• +7 more

Professor Samer Akkach is a prominent academic at the University of Adelaide's School of Architecture and Civil Engineering within the Faculty of Sciences, Engineering and Technology. He joined the university in 1993 after completing his Master of Architectural Design at UNSW (1985) and PhD at the University of Sydney (1992). As a leading scholar in architectural history, Islamic studies, and Middle Eastern urban history, he founded the Centre for Asian and Middle Eastern Architecture (CAMEA) in 1997 to address Eurocentric biases in architectural discourse. His research focuses on early modern Islamic intellectual history, urban secularism in Damascus, and pre- and post-Copernican Islamic cosmology. Key contributions include editing seminal works like Self, Place, and Imagination (1999) and De-Placing Difference (2002). CAMEA conferences such as the 2016 Ilm: Science, Religion, and Art in Islam reflect his commitment to cross-cultural architectural thinking. Akkach’s publications bridge architecture, philosophy, and cultural studies, emphasizing interdisciplinary approaches to urban form and sacred space. His work critiques conventional architectural education and advocates for inclusive, culturally sensitive design frameworks.

Jeremy I. BorjonView profile

Assistant Professor

• Developmental Psychology
• Cognitive Neuroscience
• Sensorimotor Development
• +7 more

Jeremy I. Borjon is an Assistant Professor in the Department of Psychology at the University of Houston, affiliated with the College of Liberal Arts and Social Sciences. He leads the Developing Systems Laboratory, focusing on infant cognitive, sensorimotor, and autonomic development. His research is supported by an NICHD R00 award and integrates multimodal technologies such as eye-tracking, motion capture, and wireless physiological sensors. Education: A.B. in Psychology and Neuroscience, Princeton University Ph.D. in Psychology and Neuroscience, Princeton University Dr. Borjon's research centers on how infants coordinate internal states with emerging cognitive and motor systems during the first two years of life. He investigates how visual, motor, and autonomic processes interact in real time, particularly during naturalistic caregiver interactions. His work emphasizes ecological validity by studying infants in dynamic, real-world contexts. He is particularly interested in sustained attention, language development, and how caregiver behaviors shape infant cognition. His recent publications reflect a strong trend in using dense, naturalistic behavioral sampling to understand developmental processes. The articles highlight interdisciplinary approaches combining developmental psychology, neuroscience, and engineering to study real-time cognitive and physiological dynamics in infants. Topics include physiological synchrony, attention regulation, and sensorimotor integration. Scientific Awards and Honors: R00 Pathway to Independence Award, NICHD K99 Pathway to Independence Award, NICHD NSF Postdoctoral Research Fellowship NICHD T32 Postdoctoral Fellowship 2019 Small Grant for Early Career Scholars, SRCD NSF Graduate Research Fellowship Princeton President’s Fellowship Simons Fellow in Computational Neuroscience Dr. Borjon has been actively involved in mentoring and is currently reviewing graduate applications for the Developmental, Cognitive, & Behavioral Neuroscience Program. His research is supported by federal grants, indicating active funding and research productivity. He previously held postdoctoral fellowships at Indiana University and positions at Yale and Emory. He directs the Developing Systems Laboratory, which employs cutting-edge technology to study infant behavior in naturalistic settings. The lab integrates head-mounted eye-tracking, wireless cardiorespiratory sensors, motion capture, and audiovisual recording to examine how cognitive achievements emerge within the context of a developing body and social environment.

Nuno PintoView profile

Senior Lecturer

• Urban Planning
• Urban Simulation
• Integrated Urban and Transport Planning
• +3 more

Nuno Pinto is a Senior Lecturer in Urban Planning and Urban Design at the University of Manchester's School of Environment, Education and Development. He holds a PhD in Planning from BarcelonaTech (Spain) and a Civil Engineering degree from the University of Coimbra (Portugal). Previously, he held academic positions at the University of Coimbra and served as a Researcher at the Polytechnic Institute of Leiria. His research focuses on quantitative approaches to urban planning, including decision support systems, urban simulation, integrated transport planning, and big data applications. He is particularly known for his work on cellular automata models and agent-based simulations in urban policy analysis. Nuno has secured significant funding, including a £663k EPSRC grant for the 'Resilience Beyond Observed Capabilities Network+' and a £19k Turing-Manchester grant for VR analytics in digital twins. Teaching expertise spans data science applications in planning, GIS, and decision-support methods across multiple master's programs. He advises on PhD topics combining quantitative methods with Iberian/Latin American urban contexts. Nuno is a Fellow of the Higher Education Academy and recipient of the 2011 Breheny Prize for outstanding urban planning research. Notable projects include 'Synthetic Cities' digital twin frameworks, peri-urban climate change analyses (PERI-CENE), and cross-border collaborations like the FAPESP-University of Manchester initiative. Current research explores smart city strategies in Latin America and carbon accounting systems. Supervised over a dozen PhD students, including works on mobility decision systems, metropolitan data analytics, and serious gaming for urban participation. Active in professional networks such as the COST TU1408 Air Transport and Regional Development initiative.

• Computer Vision
• Human Pose Estimation
• Gesture Recognition
• +4 more

Stephanie Käs is a Researcher at RWTH Aachen University specializing in Human Pose Estimation (HPE) and gesture recognition using CNN-based methods and Video Language Models applied to fisheye imagery. Her interdisciplinary background spans particle physics and railway engineering data science projects, with strong emphasis on science communication and agile project management. Her research focuses on overcoming challenges in 3D human pose estimation from distorted fisheye images, temporal consistency in motion recognition, and gesture-based human-robot interaction. She actively develops novel approaches for monocular 3D pose estimation and foundation model applications in robotics, with contributions to datasets like FISHnCHIPS for fisheye image analysis. Stephanie supervises multiple ongoing theses including motion recognition, visual anonymization, and anatomical realism evaluation in AI-generated imagery. She leads the Stratospheric Balloon Research Project (StratoGI) at JLU Gießen and has extensive teaching experience in machine learning, computer vision, and statistics at RWTH Aachen and JLU Gießen.

Scott L. NyklView profile

Professor

• Computer Vision
• Real Time 3D Computer Graphics
• Sensor Fusion
• +12 more

Dr. Scott L. Nykl is a Professor in the Department of Computer Science at the Air Force Institute of Technology (AFIT), part of the Graduate School of Engineering & Management. He is a leading researcher in computer vision, real-time 3D graphics, and autonomous aerial systems, with a focus on automated aerial refueling and navigation in GPS-denied environments. Education: Ph.D. in Computer Science, Ohio University (2008–2013), Summa Cum Laude, GPA: 4.0/4.0 M.S. in Computer Science, Ohio University (2011–2012), Summa Cum Laude, GPA: 4.0/4.0 B.S. in Software Engineering, University of Wisconsin–Platteville (2002–2006), Summa Cum Laude, GPA: 3.94/4.0 Dr. Nykl's research interests include computer vision, sensor fusion, interactive virtual worlds, and real-time 3D graphics, with applications in aerospace and defense. His work bridges simulation and real-world deployment, particularly in autonomous aerial refueling using stereo and monocular vision. He has pioneered techniques in pose estimation, occlusion mitigation, and sim-to-real transfer learning. His recent publications and projects show a strong trend toward robust, vision-based navigation systems for unmanned and manned aircraft, with emphasis on reliability, accuracy, and real-time performance. His work frequently appears in IEEE, AIAA, and ION venues, reflecting its high technical and operational relevance. Scientific Awards and Recognitions: 2024 Harold Brown Award – Highest U.S. Air Force scientific honor 2024 General Bernard A. Schreiver Award 2025 AETC Airmen of the Year Multiple Air Force Outstanding Scientist/Engineer Awards (2017–2023) Best Paper Award, ACM SIGGRAPH i3D 2013 Forbes' The Greatest Young Inventors in America (2012) NSF GK-12 Fellow (2006) Dr. Nykl has advised numerous graduate students and collaborated extensively on projects involving automated aerial refueling, 3D reconstruction, and cyber education. He has secured significant research funding, including a $100,000 Ohio Third Frontier grant. His work has led to multiple patents and technology transfers. He leads research integrating virtual worlds, digital twins, and augmented reality for both research and pedagogy. Laboratories and Research Teams: His work is conducted within AFIT’s research ecosystem, involving collaborations with the Air Force Research Laboratory (AFRL), Boeing, and academic partners. He leads projects under the Aerial Refueling Systems Advisory Group (ARSAG) and presents regularly at ION, AIAA, and IEEE conferences.

Anthony HornofView profile

Professor

• Human-Computer Interaction
• Cognitive Modeling
• Eye Tracking
• +9 more

Anthony Hornof is a Professor in the Department of Computer Science at the University of Oregon, part of the College of Arts and Sciences. He has been a faculty member since 1999 and was granted tenure in 2005. His research is centered on human-computer interaction, with strong emphases on cognitive modeling, eye tracking, and assistive technology. He leads an active research laboratory and has secured substantial funding from the National Science Foundation and the Office of Naval Research. University: University of Oregon School: College of Arts and Sciences Department: Department of Computer Science Position: Professor Email: hornof@uoregon.edu, hornof@cs.uoregon.edu Office: 356 Deschutes Hall Phone: (541) 346-1372 Education: B.A. in Computer Science, Columbia University, 1988 M.S. in Computer Science and Engineering, University of Michigan, 1996 Ph.D. in Computer Science and Engineering, University of Michigan, 1999 Research Interests: Dr. Hornof's research lies at the intersection of human cognition and computing. He is particularly interested in understanding and modeling the perceptual, cognitive, and motor processes involved in human-computer interaction. His work uses eye tracking both as an evaluation tool for cognitive models and as a real-time input method for creative expression and accessibility. A major focus is assistive technology, especially developing tools like EyeDraw that enable children with severe motor impairments to create art using only eye movements. He also explores eye-controlled musical compositions, bridging technology and artistic expression. His research is grounded in participatory design, involving end-users directly in the development process. Publication Trends: His recent publications demonstrate a consistent focus on modeling human behavior in complex interactive tasks. Key themes include visual search strategies, dual-task performance, cognitive modeling using eye-tracking data, and accessibility. His work spans top venues in HCI (CHI, TOCHI), cognitive science (CogSci, ICCM), and specialized conferences like ETRA and NIME. There is a strong methodological thread involving data calibration, model validation, and the development of predictive tools for interface design. Scientific Awards: Best Paper Award (Top 1%) at CHI 2014 (two papers) Honorable Mention Paper (Top 5%) at CHI 2010 Siegel-Wolf Award for Best Applied Paper at ICCM 2010 Advising and Grants: Dr. Hornof actively seeks to mentor exceptional undergraduate students, graduate students, and postdoctoral researchers in his lab. He emphasizes rigorous and creative scientific research. He has been awarded over $2.9 million in single-investigator research grants from prestigious agencies including the National Science Foundation (NSF) and the Office of Naval Research (ONR). Notably, he served as an NSF Program Director from 2012 to 2014, contributing to funding decisions for approximately $65 million in research. Labs and Teams: He leads the Human-Computer Interaction Laboratory at the University of Oregon, where interdisciplinary research is conducted on cognitive modeling, eye tracking, and assistive technologies. His team has developed software such as VizFix for visualizing eye-tracking data and has ported the Eyegaze system to Macintosh. The lab fosters collaborations with new media artists and musicians, and engages in participatory design with children who have disabilities.

Kyusang LeeView profile

Associate Professor

• Optoelectronics
• Thin-Film and Flexible Devices
• Neuromorphic Computing
• +5 more

Kyusang Lee is an Associate Professor in the Electrical and Computer Engineering and Materials Science and Engineering departments at the University of Virginia. His research focuses on optoelectronic devices, neuromorphic computing, and smart sensors, emphasizing applications in solar energy conversion and flexible electronics. He holds a B.S. from Korea University (2005), M.S. from Johns Hopkins University (2009), and Ph.D. from the University of Michigan (2014). He conducted postdoctoral research at the University of Michigan and MIT. Education: B.S., Electrical Engineering, Korea University, 2005 M.S., Electrical and Computer Engineering, Johns Hopkins University, 2009 Ph.D., Electrical Engineering and Computer Science, University of Michigan, 2014 Postdoctoral Fellowships: University of Michigan (EECS), MIT (Mechanical Engineering) His research interests span thin-film and flexible optoelectronics, neuromorphic computing architectures, and AIoT-enabled smart sensors. Notable contributions include remote epitaxy techniques for semiconductor membrane integration and solar-tracking concentrator designs. His work bridges materials science and device engineering to advance energy-efficient optoelectronics and bioinspired systems. Key Research Themes: Organic/inorganic optoelectronic devices for solar energy Flexible and stretchable electronics Neuromorphic hardware for edge computing Gas sensing and bioinspired sensor systems Lee’s publications reflect interdisciplinary innovation, with recent work on ferroelectric transistors, neuromorphic vision systems, and high-efficiency photovoltaics. He received the NSF CAREER Award (2020) and AFOSR YIP Award (2023).

Floris van den BergView profile

Assistant Professor

• Environmental Ethics
• Sustainability
• Applied Ethics
• +3 more

Dr. Floris van den Berg is an Assistant Professor at Utrecht University's Copernicus Institute of Sustainable Development within the Department of Environmental Sciences. He specializes in environmental ethics, applied ethics, and philosophy of science, focusing on topics like sustainability, democracy, animal rights, and freedom of speech. His research explores societal challenges through interdisciplinary lenses, including the 'Institutions for Open Societies' initiative and 'Sustainability Education and Engagement.' Van den Berg's media presence reflects his engagement with contentious issues: he critiques woke culture's rigidity, defends academic freedom regarding controversial topics, and debates veganism's ethical foundations. Notable works include his manifesto 'Green Liberalism' advocating market-driven environmental solutions and critiques of corporate sustainability practices. Though currently holds no listed awards, his media contributions emphasize public philosophy's role in societal discourse. His teaching involves courses like 'Environmental Ethics and Sustainable Development' and 'Philosophy of Science and Ethics.' No student advisees or grants are explicitly mentioned, but his research teams engage with themes like bottom-up societal initiatives and future food systems. He advocates for open academic debate while addressing modern ethical dilemmas in education, environment, and culture.

Sarah NewmanView profile

Assistant Professor

• Archaeology
• Ethnohistory
• Zooarchaeology
• +5 more

Sarah Newman is an Assistant Professor of Anthropology and Social Sciences at the University of Chicago's College and serves as Director of Undergraduate Studies. She holds a PhD from Brown University (2015). Her research integrates archaeological, historical, and art historical methods to examine themes such as waste, human-animal relationships, and long-term landscape transformations in Mesoamerica and beyond. Key projects include the Invisible Landscapes initiative, co-directed with Felipe Rojas and Eduardo Góes Neves, which explores anthropogenic landscapes through multidisciplinary collaboration. Newman’s fieldwork in Jordan investigates water management systems near Petra, while her Maya-focused studies address zooarchaeology, sensory experiences, and knowledge systems. Her monograph Unmaking Waste: New Histories of Old Things (2023) redefines waste as a culturally contingent concept, challenging Eurocentric narratives through cross-cultural comparisons. A current book project, Animal Archaeology , extends archaeological methodologies to non-human histories. Newman’s affiliations include the Committee on Environment, Geography, and Urbanization, the Institute for the Formation of Knowledge, and the Center for Latin American Studies. Publications span topics from Classic Maya animal categories to Neolithic sites in Jordan. Her work emphasizes interdisciplinary approaches, including remote sensing and 3D imaging technologies. Recent research explores sensory archaeology, particularly olfactory practices in Mesoamerica, and critiques traditional archaeological frameworks through comparative global perspectives.

• Biomedical Signal Processing
• Electroencephalography (EEG)
• Mental Workload Assessment
• +12 more

Tarmo Lipping is a Professor in the Department of Computer Science and Engineering at the Faculty of Information Technology and Electrical Engineering, University of Oulu. His work bridges computing sciences with biomedical engineering, environmental modelling, and data-driven societal applications. Doctor of Science (Technology), Information Technology – Awarded 14 Feb 2001 Master of Science (Technology), Information Technology – Awarded 10 Sept 1993 His research focuses on electroencephalography (EEG) , mental workload assessment , depth of anesthesia monitoring , and machine learning applications in healthcare and human-computer interaction. He also contributes to environmental informatics , particularly in land uplift modelling and radionuclide transport , aligning with UN Sustainable Development Goals. Recent publications highlight trends in transformer networks for EEG analysis , wearable HCI systems , data-driven food safety , and participatory municipal governance . His work integrates deep learning, signal processing, and real-world deployment. Scientific awards include: CIMO opettajavaihto (2017) Lipping has supervised numerous master’s students and served as an examiner in diverse topics including data vault modelling , telecom revenue estimation , and EEG hyperscanning . He has evaluated funding applications, acted as a journal reviewer (65 times), and contributed to editorial work. His activities reflect strong engagement in academic service and interdisciplinary research mentorship. He has contributed datasets on Fennoscandian land uplift , lake isolation , and archaeological shorelines to PANGAEA, supporting open science in geosciences and environmental history.