Find Academic Supervisors

Alexander BlackView profile

Professor

• Vision Science
• Gerontology
• Epidemiology
• +3 more

Professor Alexander Black is an academic at Queensland University of Technology, specializing in vision science and its impact on daily life, particularly in aging populations and transportation safety. His research focuses on how visual impairments affect driving, mobility, and quality of life, with a strong emphasis on older adults and children. He has collaborated extensively with Joanne Wood and other researchers, producing over 80 peer-reviewed publications since 2005. Key areas include vision-related falls prevention, pedestrian and cyclist safety, and the design of interventions to enhance road safety. Education: PhD in Optometry (Queensland University of Technology, 2010) Affiliations: Queensland University of Technology School of Optometry and Vision Science His work bridges clinical optometry with public health, addressing real-world challenges such as age-related macular degeneration's impact on driving ability and the effectiveness of vision screening tools. Recent projects include evaluating night-time pedestrian visibility aids and assessing the prevalence of vision conditions in remote communities. Research Highlights: Development of novel hazard visibility tests for drivers Investigation of color misperception risks for train signals Systematic reviews on vision impairment and crash risk His interdisciplinary approach combines behavioral optics, epidemiology, and engineering to create solutions for vision-related safety issues. Current interests include advancing ADAS technologies for older drivers and optimizing vision standards for licensing regulations.

Sierra YoungView profile

Assistant Professor

• Field Robotics
• Unmanned Aerial Systems (UAS)
• Environmental Sensing
• +7 more

Dr. Sierra Young is an Assistant Professor in the Department of Civil and Environmental Engineering and the Utah Water Research Laboratory at Utah State University, where she leads the DAISy (Digital Agro-environment and Intelligent Systems) Lab. Her research integrates robotics, computer vision, and environmental sensing to advance monitoring in agriculture and hydrology. PhD, Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 2018 MS, Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 2015 BS, Civil and Environmental Engineering, Cornell University, 2014 Dr. Young's research focuses on field robotics, automation, and optical sensing systems for environmental and agricultural applications. She specializes in unmanned aerial systems (UAS), developing robotic payloads for tasks such as aerial pollination, soil moisture measurement, and water quality sampling. Her work also emphasizes hyperspectral imaging and machine learning for non-destructive evaluation of crops like industrial hemp and loblolly pine, enabling high-throughput phenotyping and disease detection. Her recent publications demonstrate a strong trend in intelligent robotics for agriculture, computer vision for environmental monitoring, and sensor fusion for hydrological applications. Key themes include autonomous decision-making in UAS, hyperspectral analysis for plant health, and real-time data processing for operational field deployment. NSF CAREER Award, 2024 Outstanding Reviewer, Journal of Sustainable Water in the Built Environment, 2024 Educational Aids Blue Ribbon Award, ASABE, 2024 ASABE Outstanding Reviewer, 2023 Dr. Young mentors graduate students in civil, environmental, and electrical engineering, guiding research in robotics, sensing, and data science. She has secured funding from agencies including the U.S. Geological Survey and the National Robotics Initiative to support projects on camera-based hydrologic monitoring and autonomous water sampling. Her teaching includes courses in computer programming and computer vision for engineers. The DAISy Lab fosters interdisciplinary collaboration, particularly with NC State University, focusing on scalable robotic solutions for agricultural and environmental challenges. The DAISy Lab is actively developing mobile sensor systems for applications in precision agriculture, hydrology, and aquaculture. Current projects include autonomous water quality monitoring using aerial and surface vehicles, hyperspectral imaging for crop breeding, and low-cost camera networks for operational hydrology.

Aimee DunlapView profile

Associate Professor

• Evolution of cognition
• Behavioral ecology
• Experimental evolution
• +7 more

Aimee Dunlap is an Associate Professor in the Department of Biology at the University of Missouri-Saint Louis, affiliated with the College of Arts and Sciences. Her research explores the intersection of evolutionary biology and cognitive ecology, focusing on how environmental variability shapes animal cognition and decision-making mechanisms. Ph.D., University of Minnesota M.S., Northern Arizona University B.S./B.A., University of Memphis The Dunlap Cognitive Ecology Lab , affiliated with the Whitney R. Harris World Ecology Center and Center for Neurodynamics, investigates: Evolutionary origins of cognitive traits Adaptive foraging strategies in bees Social information vs. personal experience Effects of urbanization on pollinator behavior Integrating molecular mechanisms with natural history Her recent publications analyze trends in urban bee ecology , decision theory , and experimental evolution . She received the UMSL Research Award and teaches courses including Behavioral Ecology and Evolution of Cognition. Lab members have defended theses on topics like cicada behavior and sensory ecology.

• Photographic Sciences
• Photography
• Imaging Systems
• +7 more

Nanette Salvaggio is a Lecturer and Undergraduate Program Director in the School of Photographic Arts and Sciences within the College of Art and Design at the Rochester Institute of Technology (RIT). She holds a BS from RIT and is actively involved in teaching and curriculum leadership in Photographic Sciences. Areas of Expertise: Photographic Sciences Photography Imaging Systems Color Science Vision and Perception Her research and teaching focus on the scientific foundations of photography, including imaging technologies, color management, human vision, and digital workflows. She emphasizes hands-on laboratory work and real-world problem solving in the imaging industry. Nanette co-authored the widely used textbook Basic Photographic Materials and Processes (4th ed., 2020), contributing significantly to photographic education. Her courses such as Imaging Systems, Photographic Science Fundamentals, and the Photographic Sciences Capstone sequence reflect a strong integration of physics, mathematics, and optical science in photography education. She mentors students through capstone projects and independent studies, guiding them in areas like photomicrography, image testing, ophthalmic imaging, and color science. She also supports student professional development through internship coordination. Nanette is actively engaged in educational outreach, having participated in workshops for Rochester City School District art teachers on portfolio preparation. Her leadership as Undergraduate Program Director underscores her commitment to academic excellence and student success in photographic sciences.

Željka TomasovićView profile

Associate Professor

• Digital Image Processing
• Signal Analysis
• NanoElectronics
• +4 more

Associate Professor Željka Tomasović holds a PhD and is affiliated with the Department of Information Sciences and Technologies at the University of Zadar. Her research focuses on digital image processing, signal analysis, nanoelectronics, optoelectronics, and time-frequency analysis. She teaches courses including Programming I, Digital Image Processing, and Database Design. Her scientific interests span from nanotechnology applications in electronics to advanced signal processing techniques, with recent work emphasizing IoT security, digital humanities, and entropy-based denoising algorithms. She has published extensively on topics like spectrogram analysis, medical electrode failure detection, and non-stationary signal processing. Professional activities include mentoring students in computer science disciplines and participating in international conferences such as SpliTech. Dr. Tomasović maintains an active research agenda with projects addressing open science frameworks, digital competence development, and advanced signal feature recognition methods.

• Age-Related Macular Degeneration
• Visual Physiology
• Electrophysiology
• +3 more

Professor Ian Murray is a faculty member in the Department of Optometry at the University of Manchester. His research focuses on visual physiology, particularly age-related macular degeneration (AMD), dark adaptation mechanisms, and retinal function. He leads studies on retinal pigment changes and their clinical implications, using advanced techniques like electroretinography and fundus imaging. His work contributes to the UN Sustainable Development Goal 3 (Good Health). Academic Role: Full-time Professor Affiliations: Manchester Institute for Collaborative Research on Ageing Research Interests: Professor Murray investigates AMD progression, cone/rod photoreceptor function, and visual signal processing. His lab develops non-invasive tools like the Macular Pigment Screener for clinical diagnostics. Publications (select 2014-2023): Focus on AMD biomarkers, color vision adaptation, and electroretinogram analysis. Key projects include Lutein supplementation studies and dark adaptation metrics for early disease detection.

• Cognitive Psychology
• Human Factors
• Ergonomics
• +7 more

Dr. Kyung Hun Jung is a faculty member at Kennesaw State University, affiliated with the Department of Psychology. He teaches courses including Cognitive Psychology, Engineering Psychology, Experimental Design, and Research Methods and Statistics. Ph.D. in Experimental Psychology (University of New Mexico, 2013) M.S. in Experimental Psychology (Korea University, 2006) B.A. in Psychology (Korea University, 2004) His research spans cognitive psychology, human factors, and ergonomics, with recent work focusing on automated vehicle interaction and driver training using moving-base driving simulators and virtual-reality headsets. Earlier research includes studies on attentional mechanisms, facial attractiveness, color perception, and document similarity analysis. Recent publications highlight applications of human factors in transportation technology and usability engineering. Data and code from his studies are publicly shared for replication purposes.

Ali FarzamniaView profile

Lecturer

• Signal Processing
• Bio-Medical Signal Processing
• Machine Learning
• +3 more

Dr. Ali Farzamnia is a Lecturer in Electronic and Electrical Engineering at the Department of Engineering , School of Computing and Engineering , University of Huddersfield, United Kingdom. He is actively involved in research and supervises PhD students. Research focus areas: Signal Processing, Deep Learning, and Wireless Communications His recent work demonstrates interdisciplinary applications of machine learning in diverse domains including sign language recognition, financial trading, agricultural stress detection, and software testing automation. Dr. Farzamnia employs cutting-edge techniques like third-generation transformers and few-shot learning frameworks in his research projects.

Neil ParryView profile

Visiting Professor

• Vision Science
• Ophthalmology
• Electrophysiology
• +3 more

Neil Parry is an Honorary Visiting Professor of Vision Science at the University of Bradford's Faculty of Life Sciences and Head of the Ophthalmic Electrodiagnostic Service at Manchester Royal Eye Hospital's Vision Science Centre. He holds roles as Treasurer of the International Colour Vision Society (ICVS) and is a State-registered Clinical Scientist (SRCS). Education and Qualifications: BSc (Hons) Human Biology (1984, University of Surrey), PhD in Human Brain Electrophysiology (1992, Victoria University of Manchester), and Clinical Scientist registration (HPC #CS02686). Research Interests: Focus on electroretinography (ERG), macular pigment (MP) measurement, and color vision mechanisms. Key studies include cone-isolating ERGs, silent substitution techniques for photoreceptor analysis, and MP's role in AMD prevention. Research also explores peripheral color appearance, reaction times, and tablet-based visual testing. Methodological Expertise: Specializes in ERGs, VEPs, contrast sensitivity, and clinical electrophysiology. Skilled in software tools like Delphi, Visual Basic, and C. Professional Contributions: Active in ARVO, ICVS, and the British Society for Clinical Electrophysiology of Vision. Collaborates with institutions globally, including Moorfields Eye Hospital, University of Erlangen, and SUNY. Publications: Over 80 peer-reviewed articles, including seminal work on AMD's electrophysiological markers and macular pigment's protective role. Recent studies analyze dark adaptation in early AMD and genetic variability in albinism.

Polina KurtserView profile

Associate Professor

• Machine Learning
• Robotics
• Agricultural Robotics
• +4 more

Polina Kurtser is an Associate Professor at the Department of Computing Science, Umeå University. Her research focuses on machine learning, robotics, and sensor systems, particularly in agricultural and autonomous applications. She has held postdoctoral positions at AASS (Örebro University) and the Department of Radiation Sciences at Umeå University. PhD in Computer Vision and Agri-Robotics (Ben-Gurion University, 2019) Postdoctoral positions at AASS and Radiation Sciences, Umeå University Her work spans agricultural robotics, including sweet pepper harvesting, grape vine detection, and mechanical stress induction in plants. She also explores illumination-independent target detection, dynamic sensing strategies, and statistical models for fruit detectability. Recent publications highlight her contributions to color-to-thermal AI for building inspection, multi-camera vision for gesture recognition, and RGB-D datasets for agricultural perception. Her research integrates machine learning, sensor fusion, and autonomous navigation in challenging environments. She teaches deep learning, machine learning, robotics, and optimization. Her academic affiliations include collaborations in gastronomy (sensory evaluation of robot-cultivated basil) and medical robotics (e.g., ECG chaotic component detection via neural networks).

• Cognitive Psychology
• Sensory Perception
• Visual Perception
• +5 more

Dr. Michelle To is a Senior Lecturer in the Department of Psychology at Lancaster University's Fylde College. With a strong background in experimental psychology, her academic journey includes a PhD and MPhil from the University of Cambridge, along with dual BSc degrees in Psychology (First Class Honours) and Physiology and Mathematics from McGill University. Dr. To's research focuses on how the sensory system processes complex natural stimuli including photographs, movies, music, and language. Her primary interests encompass natural stimuli perception, feature integration, cross-modal integration, and visual perception in the far and extreme periphery. Her recent work has extensively examined infant visual perception, particularly how infants process visual information at the edges of their visual fields and how they integrate sensory information during early development. Analysis of Dr. To's 15 most recent publications reveals a clear trajectory from fundamental visual perception research toward developmental applications, particularly in infant vision. Her early work established computational models of visual processing, while her more recent publications apply these principles to understand developmental visual capabilities. The research demonstrates consistent methodological rigor, often combining computational modeling with empirical testing using natural stimuli. Dr. To actively contributes to academic training through courses including PSYC214: Statistics, PSYC377: Psychology of Art, and PSYC401: Analysing and Interpreting Psychological Data I, demonstrating her commitment to statistical and methodological education in psychology. Her current research projects include the BabyMotion project (2025-2027) investigating how infants develop the ability to perceive human motion, a project on modeling stress effects on visual perception (2018), and previous involvement in the RCUK-SUP initiative (2013-2016) focused on inspiring the next generation of researchers. Dr. To supervises postgraduate research students and employs advanced methodologies including eye-tracking and functional near-infrared spectroscopy (fNIRS) to investigate the neural basis of visual perception and its development.

• Ophthalmology
• Glaucoma
• Cataract Surgery
• +4 more

Dr. Lecturer Şeyma DURMUŞ ECE is a full-time Assistant Professor at Kastamonu University, Faculty of Medicine , within the Department of Surgical Medical Sciences, Eye Diseases . She specializes in ophthalmology, with a strong focus on glaucoma, cataract surgery, retinal diseases, and ocular trauma. She is an active member of the Turkish Ophthalmology Association and has contributed significantly to academic ophthalmology through research, teaching, and clinical practice. Education: Bachelor of Medicine – Gazi University, Faculty of Medicine (2007–2013) Medical Specialization in Ophthalmology – Ankara Numune Training and Research Hospital (2014–2019) Fellow of the European Board of Ophthalmology – Consilium Europaeum Ophthalmologiae (2023) Research Focus: Her research spans a wide range of ophthalmic subspecialties, including glaucoma pathophysiology and surgery , cataract surgery outcomes , retinal imaging using OCT and OCT-A , ocular trauma , and neuro-ophthalmology . She has conducted both clinical and experimental studies, including animal models and cross-sectional surveys. Her work often integrates advanced imaging techniques to explore disease mechanisms and improve diagnostic accuracy. Scientific Output: She has authored or co-authored 42 publications , including 15 SCI/SCI-E indexed articles , and has received 33 citations with an h-index of 3. Her recent publications focus on the impact of screen use on ocular surface health, prognostic markers in dry AMD, and the safety of bilateral cataract surgery during the COVID-19 pandemic. Awards and Recognition: Teşekkür Belgesi (Certificate of Appreciation) – Ministry of Health (2022) Başarı Belgesi (Certificate of Achievement) – Ministry of Interior (2020) Teaching and Training: She currently teaches undergraduate medical students in courses such as Göz Hastalıkları Stajı (Ophthalmology Clerkship), covering topics like cataract, neuro-ophthalmology, retinal examination, and age-related macular degeneration. She has also participated in numerous national and international ophthalmology congresses and training courses, including hands-on surgical training and certification programs. Professional Affiliations: She has been a member of the Turkish Ophthalmology Association since 2016 and has collaborated with over 30 researchers across institutions such as Gazi University, Sağlık Bilimleri Üniversitesi, and Kastamonu University.

• Otorhinolaryngology
• Head and Neck Surgery
• Medical Imaging
• +5 more

Mick Metselaar serves as a Researcher in the Department of Otorhinolaryngology and Head and Neck Surgery at Erasmus University Rotterdam, focusing on clinical and technical innovations in ear, nose, and throat surgery. His work bridges surgical practice with engineering principles to optimize patient outcomes. His research centers on cholesteatoma management and tympanoplasty techniques, with significant contributions to mastoid cavity obliteration procedures and revision surgery protocols. He investigates critical intersections of surgical methodology and medical imaging, particularly through retrospective cohort studies analyzing hearing restoration, infection rates, and cavity management outcomes. His engineering collaborations explore image processing for flexible endoscopes, addressing color fidelity and edge enhancement to improve diagnostic accuracy. Recent publications demonstrate consistent interdisciplinary trends: clinical outcome analysis of surgical techniques (2022-2024) combined with computational optimization of ENT imaging systems. This dual focus advances both surgical decision-making frameworks and real-time diagnostic tool performance in otorhinolaryngology.

• Physics Applied to Cultural Heritage
• Optics
• Colorimetry
• +6 more

Giovanni Buccolieri serves as a University Researcher at the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento. He maintains a dual teaching appointment, delivering courses for both the Department of Mathematics and Physics and the Department of Cultural Heritage, demonstrating his interdisciplinary expertise bridging physics and cultural preservation. His primary research interests focus on Physics Applied to Cultural Heritage , with specialized expertise in Optics , Colorimetry , X-ray Analysis , and Infrared Reflectography . His work centers on developing and applying physical methodologies for the diagnostics, analysis, and conservation of cultural artifacts. His research integrates theoretical physics with practical conservation needs, creating bridges between scientific analysis and heritage preservation. Analysis of his recent publications reveals a consistent focus on developing non-invasive diagnostic techniques for cultural heritage objects. His work spans from fundamental optical principles to practical applications in museum settings, with particular emphasis on color analysis, radiation-based techniques, and geometric optics applications. His research demonstrates a strong commitment to creating scientifically rigorous yet practically applicable methods for conservators and heritage professionals. Buccolieri actively contributes to academic training through his teaching roles in both the Cultural Heritage and Optics and Optometry degree programs. His courses include Fundamentals of Physics Applied to Cultural Heritage , Geometric Optics with Laboratory , and Visual Optics , reflecting his dual expertise in both cultural heritage applications and optical science.

Ruplal ChoudharyView profile

Professor

• Food Engineering
• Bioprocess Engineering
• Food Safety
• +5 more

Ruplal Choudhary is a Professor of Food and Bioprocess Engineering in the Agricultural Systems and Education department at Southern Illinois University Carbondale's College of Agricultural Sciences. With over 20 years of academic and industrial experience in food processing equipment design and development, his career spans multiple institutions including the University of Manitoba, South Dakota State University, National Dairy Research Institute in India, and the Central Institute of Agricultural Engineering. Dr. Choudhary earned his Ph.D. in Biosystems Engineering from Oklahoma State University in 2004, an M.S. in Dairy and Food Engineering from IIT Kharagpur, India in 1994, and completed his undergraduate studies in Agricultural Engineering at J.N. Agricultural University, Jabalpur, India. His research focuses on improving food safety and quality through innovative nonthermal processing technologies. Dr. Choudhary specializes in using germicidal ultraviolet light, nonthermal plasma, power ultrasound, and nanotechnology for pathogen removal and food allergy mitigation. He also employs near infrared spectroscopy and color machine vision systems for rapid sensing of food safety, quality, and defects. His work spans across dairy products, soy, fruits, and vegetables, with particular emphasis on postharvest horticulture and agricultural systems. Analysis of Dr. Choudhary's recent publications reveals consistent focus on food safety technologies, particularly nonthermal processing methods and edible coatings for shelf-life extension. His research demonstrates strong integration of engineering principles with food science, with recurring themes in spectroscopic sensing, nanotechnology applications, and pathogen control across diverse food products including berries, dairy, and soybeans. Dr. Choudhary has received notable recognition including a Team Award from SIU's College of Agricultural Sciences. He serves as an Editorial Board Member for the Journal of Food Protection (IAFP) and as Associate Editor for the Processing Division of ASABE. As a dedicated educator and industry collaborator, Dr. Choudhary serves as Project Director for the USDA NIFA Food Safety Outreach Program, Lead Instructor for FSPCA Human Foods Preventive Control courses, Trainer for Produce Safety Alliance growers training, and Instructor for the FDA Better Process Control School. He is also recognized as an FDA Food Processing Authority in Southern Illinois. His laboratory work focuses on developing and testing food safety technologies, particularly nonthermal processing equipment and sensing systems for food quality assessment. His research team actively investigates edible coatings, antimicrobial treatments, and spectroscopic methods for food safety and quality monitoring.