Find Academic Supervisors

• Spectral Imaging
• NIR Spectroscopy
• Process Analytical Technology
• +3 more

Nazan Altun is a Research Fellow at University College Dublin's School of Biosystems and Food Engineering. She holds a PhD in Molecular and Cellular Biology from the University of Oviedo. Her research focuses on spectral imaging, nanomaterials, and regulatory compliance in pharmaceuticals/food safety sectors. She has extensive experience managing grants and fostering academic-industry collaborations through EU-funded programs like Marie Skłodowska-Curie ITN. Currently investigates micro/nanoplastics' health impacts aligned with EU strategies. Education: BSc Chemical Engineering, Ege University (Turkey) MSc Analytical Chemistry, University of Bologna (Italy) PhD Molecular and Cellular Biology, University of Oviedo (Spain) Research Interests: Spectral imaging, NIR spectroscopy, chemometrics applications in chemical/biological systems, and regulatory innovation frameworks. She actively contributes to Equality, Diversity & Inclusion (EDI) initiatives at UCD. Teaching includes guest lectures on scientific writing, MATLAB-based chemometrics, and microplastic analysis workshops. Her work bridges research, policy, and industry to advance sustainable solutions.

• Applied Geophysics
• Seismic Methods
• Geotechnical Engineering
• +3 more

George Kritikakis is a Tutor in the School of Mineral Resources Engineering at the Technical University of Crete, specializing in Applied Geophysics. He works at the Applied Geophysics Lab and has permanent teaching responsibilities. Ph.D. in Applied Geophysics (TUC) MSc in Applied Geophysics (TUC) Bachelor's in Mineral Resources Engineering (TUC) His research focuses on surface wave analysis for geotechnical applications, including S-wave velocity estimation and 2D seismic wave propagation simulation. He has developed MATLAB and FORTRAN algorithms for geophysical modeling and inversion. With over 10 years of teaching experience, he has served as a laboratory teaching assistant for courses like Seismic Methods and Applied Geophysics. He has contributed to 45+ research projects and fieldworks, and participated in organizing major geophysical conferences such as the 8th Congress of the Balkan Geophysical Society.

William MartinView profile

Lecturer

• Civil Engineering
• Environmental Engineering
• Sustainable Infrastructure
• +4 more

Dr. William (Will) Martin is a Principal Lecturer and Associate Director in the Department of General Engineering at Clemson University, located in 110C Holtzendorff Hall. He holds a Ph.D., M.S., and B.S. in Civil Engineering, all from Clemson University (2013, 2011, 2010). His academic roles include teaching courses on engineering fundamentals, problem-solving using Excel and MATLAB, engineering graphics for civil engineering, and Creative Inquiry research. His research focuses on sustainable infrastructure, particularly stormwater management using Low Impact Development (LID) technologies, climate change impacts on hydrology, porous pavement systems, and green roof hydrology. He has published extensively on topics like hydrologic modeling of LID systems, porous pavement design, and climate adaptation strategies. Dr. Martin co-authored the textbook Thinking Like an Engineer: An Active Learning Approach (Pearson, 2022), emphasizing pedagogical innovation. His recent work explores municipal-scale stormwater performance under climate change and modular green roof hydraulic models. He actively participates in conferences, presenting findings on LID technologies and porous pavement characterization. While no specific awards are listed, his contributions to engineering education and sustainable infrastructure are evident through his teaching and publications. He advises Creative Inquiry projects and collaborates on research teams addressing environmental and civil engineering challenges. His department’s focus aligns with broader initiatives in Clemson’s College of Engineering, Computing and Applied Sciences.

Matt MillerView profile

Senior Lecturer

• Engineering Education
• Social Capital in STEM
• Undergraduate Curriculum Development
• +3 more

Prof. Matt Miller is a Senior Lecturer and ENGR 1020 Course Coordinator in the Department of General Engineering at Clemson University. His roles include teaching foundational engineering courses such as ENGR 1020 (Engineering Disciplines and Skills), ENGR 1410 (Programming and Problem Solving), and courses for the General Engineering Learning Community (GELC) and Boyd Scholars programs. He holds a B.S. (2007), M.S. (2008), and a Graduate Certificate in Engineering and Science Education (2010), all from Clemson University. Miller’s research focuses on social capital dynamics among engineering students, particularly regarding demographics and academic/career decision-making, supported by an NSF CAREER grant. He also has industry experience through internships at Lockheed Martin and research collaborations with organizations like Cannon Memorial Hospital. Certifications include Six Sigma Green Belt and Clemson Online Teaching Certification. His teaching extends to distance-learning programs via the South Carolina Governor’s School, emphasizing introductory engineering and MATLAB programming. Notable contributions include curriculum development for first-year engineering students and strategies to enhance student retention through learning initiatives.

John MinorView profile

Senior Lecturer

• Engineering Education
• Mechanical Engineering
• Computer-Aided Design
• +3 more

John Minor is a Senior Lecturer and Principal Lecturer in the Department of General Engineering at Clemson University, serving as the ENGR 2080 Course Coordinator. He has been with Clemson since 2008, holding roles such as Associate Director of General Engineering (2015–2022) and Executive Director of CyberInfrastructure Technology Integration (2006–2008). He earned an M.S. in Mechanical Engineering from Iowa State University (1994) and a B.S. from Rose-Hulman Institute of Technology (1991). His professional focus spans engineering education, curriculum design, and IT integration. He teaches courses in engineering fundamentals, programming (MATLAB), and graphics/machine design. His 2021 ASEE conference paper highlighted curriculum development innovations, recognized in a 'Best Paper' session. Active in professional organizations, he serves as Chief Advisor for the SC Alpha Chapter of Tau Beta Pi and holds ASME membership. Technical certifications include Certified SolidWorks Associate (CSWA). Minor’s career includes leadership in university IT infrastructure and engineering support services, reflecting a dual commitment to technical expertise and pedagogical advancement.

Tyler HarveyView profile

Lecturer

• Engineering Education
• Sports Biomechanics
• Computational Modeling
• +3 more

Tyler Harvey, Ph.D., is a Lecturer in the Department of Bioengineering at Clemson University's College of Engineering, Computing and Applied Sciences. He teaches undergraduate bioengineering courses with emphasis on capstone design, bioinstrumentation, and sports engineering. His office is located in 313 Rhodes Engineering Research Center. Education: Ph.D. in Bioengineering, Clemson University (2018) Certificate in Engineering and Science Education, Clemson University (2018) M.S. in Bioengineering, Clemson University (2016) B.S. in Bioengineering (Bioelectrical), Clemson University (2014) Research Focus: Dr. Harvey specializes in innovative pedagogical methods for engineering education, including alternative grading and discovery learning frameworks. His biomedical research spans sports biomechanics, computational modeling of living systems, and scanning probe microscopy applications. He develops educational tools like CellSpark electrophysiology simulator to enhance STEM learning experiences. Publication Trends: Recent works demonstrate dual focus on education research (engineering identity development, instructional tools) and biomedical applications (prosthetic design, cancer therapy, diagnostic devices). Articles frequently incorporate computational modeling and emphasize practical educational implementations. Outreach & Leadership: As Faculty Fellow at the Robert H. Brooks Sports Science Institute, he directs outreach programs including NIH-funded ESTEEMED Scholars and SCGSSM GoSciTech camps. He mentors award-winning student teams in national competitions and advises the Clemson Biomedical Applications Club.

Harbinder SinghView profile

Researcher

• Image and Video Processing
• Machine Learning
• Adversarial Examples in Deep Neural Networks
• +6 more

Dr. Harbinder Singh is a Postdoctoral Researcher at the University of Castilla-La Mancha (UCLM) in Spain, affiliated with the VISILAB research group. His work focuses on adversarial examples in deep neural networks, anomaly/chaos detection in images and videos, human body pose estimation, and image fusion. He contributes to projects like Eyes of Things and AIDPATH , which bridge academia and industry in domains such as digital pathology and edge computing. Harbinder is proficient in Python frameworks like TensorFlow, PyTorch, and OpenCV, as well as MATLAB and ImageJ.

Susan HesterView profile

Associate Professor

• Biosecurity Economics
• Invasive Species Management
• Resource Allocation
• +2 more

Dr. Susan Hester is an Associate Professor at the University of New England Business School and Chief Investigator at the Centre of Excellence for Biosecurity Risk Analysis (CEBRA). With a PhD in Agricultural Economics, she specializes in optimizing resource allocation for invasive species management. Her research integrates bioeconomic modelling, surveillance design, and incentive-based policy frameworks. Key research areas include passive surveillance systems, eradication feasibility, and socio-economic assessments of biocontrol methods. She has developed tools like WaspSim for simulating pest management and contributed to Australia's biosecurity policies. Awards: Best Journal Paper (AJARE 2008), CRC Weed Management Scientific Project Award (2008). Leadership roles: Editorial Board Member for Frontiers in Ecology and Evolution . Her interdisciplinary collaborations span mathematics, ecology, and veterinary science, focusing on maximizing biosecurity budget efficiency through innovative policy design.

• Control Systems
• Vibration Control
• Sensor Technology
• +6 more

Łukasz Ścisło is an Associate Professor at the Department of Automation and Computer Science , part of the Faculty of Electrical and Computer Engineering at Jagiellonian University. He specializes in control systems, vibration analysis, and IoT applications, with a focus on aerospace engineering, structural health monitoring, and environmental monitoring. His work integrates neural networks, sensor technologies, and real-time data analytics to solve complex engineering challenges. Research interests include: Optimization of control systems using neural networks and sensitivity analysis Vibration measurement enhancements via 3D laser Doppler vibrometry IoT-based systems for environmental and building safety monitoring UAV trajectory adaptation for industrial inspection On-board monitoring of helicopter turboshaft engines His recent publications (2021–2025) highlight contributions to: Earthquake impact analysis on high-energy physics facilities Smartphone integration for transport monitoring 3D quality assessment algorithms in manufacturing Comparative analysis of gas/wood furnace systems No scientific awards are listed in the provided texts. Collaborations involve international teams in Ukraine, Germany, and Poland. His research extends to biomedical applications like fetal ECG signal processing, demonstrating interdisciplinary reach.

Demetris P. GerogiannisView profile

Researcher

• Computer Vision
• Image Processing
• Image Segmentation and Registration
• +7 more

Demetris P. Gerogiannis is a researcher in the Department of Computer Science & Engineering at the University of Ioannina, Greece. His academic work focuses on Computer Vision and Image Processing, with specific expertise in image registration, pointset registration, and feature extraction. He has maintained a consistent publication record from 2007 through 2020, primarily collaborating with Christophoros Nikou and A. Likas. Gerogiannis' research interests span multiple areas within Computer Vision including Image Segmentation and Registration, Pointset Registration, Feature Extraction, Object Detection and Recognition, Pattern Recognition, Automatic Image Annotation, and Machine Learning applications. His work demonstrates a consistent focus on developing robust algorithms for geometric problems in vision, with particular attention to handling noise and outliers in visual data. He has made significant contributions to point set registration, shape representation, and vanishing point detection. His publication history reveals a strong trend toward developing mathematically rigorous approaches to Computer Vision problems, particularly utilizing statistical models like Student's t-distributions for robust registration. His work bridges theoretical computer vision with practical applications, including consumer-facing technologies like QR code systems. The 15 most recent publications show progression from foundational work in image registration to more applied research in texture analysis, word spotting, and biomedical applications. Gerogiannis is also an active entrepreneur, currently coordinating QReca!, a startup focused on consumer engagement through QR codes and NFC technology. He has previously worked on a Video On Demand startup and is developing a spin-off to commercialize his Computer Vision research through an API framework. He maintains a commitment to open academic knowledge by providing Matlab code for non-commercial use related to his publications. He has volunteered for the Athens 2004 Olympic Games and maintains a passion for Mathematics, particularly Number Theory and Euclidean Geometry. His academic profile suggests a researcher who bridges theoretical computer vision with practical applications and entrepreneurial ventures.

• Automotive Engineering
• Fluid Dynamics
• Control Systems
• +7 more

Robert L Woods is a Professor in Mechanical and Aerospace Engineering at The University of Texas at Arlington, where he has held the Dr. Bob Woods Chair in Automotive Engineering since 2018. His academic career spans over five decades, with a focus on automotive engineering, fluidics, control systems, and racecar design. He earned his PhD (1973), MS (1970), and BS (1968) in Mechanical Engineering from Oklahoma State University and Southern Methodist University, respectively. Research interests include fluid dynamics, vehicle dynamics, and applications of fluidics in aerospace and automotive systems. He has led projects on hybrid electric vehicles, fluidic fuel injection systems, and Formula SAE racecar design. His work integrates theoretical and practical engineering, emphasizing hands-on student projects and industry collaboration. Award highlights include the Regents Outstanding Teaching Award (2017), Minnie Stevens Piper Professor Award (2017), and multiple teaching accolades from UTA and SAE. He advises UTA’s Formula SAE team and serves as a faculty sponsor for national vehicle design competitions. Over 25 patents, including innovations in fluidic oscillating nozzles and automotive systems, reflect his applied research focus. Teaching spans automotive engineering, control systems, and dynamic modeling. He has advised numerous students, including Thomas Allsup in 2023. Labs/teams: Core leader of UTA’s Formula SAE and Hybrid Electric Vehicle programs. Collaborates with industry partners like Lockheed Martin, Ford, and Medtronic on applied projects.

Daniel GerviniView profile

Professor

• Functional Data Analysis
• Robust Statistics
• Nonparametric Statistics
• +3 more

Daniel Gervini is Professor and Data Science Undergraduate Coordinator in the Department of Mathematical Sciences at University of Wisconsin-Milwaukee. His research centers on functional data analysis, robust statistics, and point process modeling, with applications to spatial statistics and multivariate analysis. Educational credentials include a Ph.D. in Mathematics from University of Buenos Aires (1999) and M.S. from the same institution (1995). He held postdoctoral positions at University of Zürich Biostatistics Department (2001-2004) and research fellowship at University of Buenos Aires (1996-1999). Research develops novel methods for functional data including warped regression, outlier-resistant estimation, and point process modeling. Recent NSF-funded projects focus on spatio-temporal covariation in replicated point processes and statistical methods for point-process time series. Applications include bike-sharing demand analysis and neuroimaging. Publication trends showcase progression from foundational robust functional methods to advanced spatio-temporal point process modeling. Recent work emphasizes computational statistics applications to urban systems and environmental data. Develops extensive open-source statistical software packages in MATLAB for functional data analysis, point process modeling, and spatio-temporal prediction. Maintains active research blog on statistical analysis of COVID-19 pandemic data.

Rebecca HarringtonView profile

Professor

• Earthquake Seismology
• Fault Mechanics
• Seismic Source Physics
• +4 more

Prof. Rebecca Harrington is a Professor at Ruhr University Bochum, specializing in earthquake source physics and fluid-rock interactions. Her research investigates how pore fluids affect fault stability and earthquake rupture dynamics through seismological observations and modeling. She analyzes scaling relationships between seismic parameters (e.g., radiated energy vs. magnitude) to understand rupture rates, stress triggering, and energy dissipation during earthquakes. She collaborates closely with fault rupture modelers to integrate observational constraints on fault-fluid interactions. Teaching Activities: BSc Courses: Endogene Geologie, Einführung in Matlab, Geology and Geohazards in an Active Subduction Zone MSc Courses: Earthquake Seismology and the Seismic Cycle, Induced Seismicity Seminar, Fault Transition Zones, Seismic Data and Time Series Analysis, Hydrogeomechanics, Mapping Active Faults, Seismotectonics and Seismic Hazard (co-taught) Professional Affiliations: American Geophysical Union, European Geosciences Union, Seismological Society of America, Deutsche Geophysikalische Gesellschaft e. V.

Heidi KloefkornView profile

Assistant Professor

• Biomedical Engineering
• Chronic Joint Degeneration
• Sleep Quality Analysis
• +4 more

Dr. Heidi Kloefkorn is an Assistant Professor in the Department of Chemical, Biological, and Environmental Engineering at Oregon State University's College of Engineering. Her research focuses on understanding the interplay between sleep quality and chronic joint degeneration, particularly in preclinical rodent models. She develops noninvasive technologies like electric field sensors and automated analytics to monitor sleep patterns, respiration, and locomotion continuously. Dr. Kloefkorn earned her PhD in Biomedical Engineering from the University of Florida (2016) and a BS from Georgia Tech (2011). She completed a postdoc at Emory University's School of Medicine and held an NIH IRACDA fellowship. Her research interests include: Joint pain mechanisms and disability in chronic osteoarthritis Integration of sleep behavior with systemic physiological changes Development of unobtrusive biosensing technologies for longitudinal studies Recent work highlights noninvasive sleep scoring via movement/respiration features and instrumented nests for cardiovascular monitoring. Her publications span neuroscience methods, biomedical devices, and osteoarthritis pathology. Awards include the NIH FIRST fellowship and Biomedical Engineering Society Career Award. Teaching experience includes MATLAB workshops, undergraduate biology courses, and mentoring over 20 students across PhD, MS, and undergraduate levels. She actively participates in professional societies like the American Physiological Society and Society for Neuroscience, and contributes to STEM outreach through science festivals and mentoring programs.

Justin RuthsView profile

Associate Professor

• Control Systems
• Cyber-Physical Systems Security
• Neuroscience
• +5 more

Justin Ruths is an Associate Professor at the University of Texas at Dallas, holding appointments in the Mechanical Engineering and Systems Engineering departments at the Erik Jonsson School of Engineering and Computer Science. He earned his PhD in Systems Science and Applied Mathematics from Washington University in St. Louis (2011), with prior degrees from Columbia University (MS Electrical Engineering), Rice University (BS Physics), and additional MS in Mechanical Engineering from Columbia. His research focuses on control & optimization of complex dynamical systems, cyber-physical system security, neuroscience, and quantum control. Notable projects include the Applied Systems Lab, developing the zonoLAB MATLAB toolbox, and leading the Nova team for autonomous vehicle software. His work bridges theoretical control systems with practical applications in robotics safety, secure industrial control, and neural network analysis. Ruths teaches MECH 4310 (Systems & Control) and SYSM 6302 (Dynamics of Complex Networks & Systems), with over 42k views on his YouTube lecture series. His recent publications emphasize cybersecurity in control systems, neural network verification, and resilient co-design frameworks. He advises graduate students through the RIDE program and undergraduate researchers via Nova's open-door policy. His research tools include hybrid zonotopes for set-based analysis, emphasizing formal verification and anomaly detection in cyber-physical systems. Current interests span attack-resistant control architectures, quantum control algorithms, and interdisciplinary applications of network dynamics.