Find Academic Supervisors

Jewon LyuView profile

Assistant Professor

• Retail Innovation
• Consumer Behavior
• Customer Experience Management
• +5 more

Jewon Lyu is an Assistant Professor in the Department of Textiles, Merchandising and Interiors at the University of Georgia's College of Family and Consumer Sciences. His research focuses on consumer behavior and technology integration in retail contexts, particularly in areas like augmented reality (AR), social media marketing, and omnichannel retailing. He teaches courses such as Fashion Marketing, Retail Planning and Buying, and Retail Analytics. Lyu holds a Ph.D. in Retail, Hospitality, and Tourism Management from the University of Tennessee, Knoxville, and has professional experience at institutions like Kent State University and Tennessee Tech University. Education: Ph.D. (2012): Retail, Hospitality, and Tourism Management, University of Tennessee M.A. (2008): International Business, University of Florida B.S. (2007): Business Administration, Chung-Ang University, South Korea His research investigates how emerging technologies influence consumer decisions, including AR applications, social media engagement, and self-service technologies. Recent work explores sustainability in fashion consumption, Gen Z behavior, and racial dynamics in retail spaces. Lyu serves as a reviewer for journals like the International Journal of Retail & Distribution Management and Clothing and Textile Research Journal, and holds editorial roles in academic publishing. Teaching and service contributions include curriculum development in merchandising and retail analytics, and leadership roles in organizations like the American Collegiate Retailing Association.

• Biomedical Engineering
• Computational Neuroscience
• Biomechanics
• +4 more

Fariba Mohammadi is a Research Fellow at the University of Michigan's Department of Biomedical Engineering (College of Engineering), focusing on computational modeling and biomechanical analysis for biomedical applications. Her research interests span Computational Neuroscience Cardiac Modeling Mesh Generation Techniques Biomechanics Materials Science Solar Energy Applications , with recent work on neural responses to spinal cord stimulation and high-order mesh generation for cardiomyopathy studies. Her publications (2012-2024) highlight computational methods in biomedical systems, including myocardial stress wave visualization (2019) and earlier explorations of cost-effective solar cell manufacturing in Bangladesh. Contact details: Email faribam@umich.edu | Location: NCRC Building 14, Ann Arbor, MI | Phone: (785) 979-1429

• Public Economics
• Demographic Economics
• Macroeconomics
• +3 more

Alessandro Sommacal is a Full Professor at the University of Verona , affiliated with the Department of Economics . His research focuses on public economics, demographic economics, and macroeconomic policy. Position: Full Professor (since 2014) Previous Roles: Associate Professor (2014), Assistant Professor (University of Verona), Post-Doc Researcher (Bocconi University) Research Labs: VELE , Visual Research Lab Research Centres: CRIEP , CIDE Professor Sommacal investigates fiscal policy impacts on macroeconomic variables, personal income taxation models, and demographic-economic interactions. His work spans: Fiscal policy effects on labor supply and household behavior Non-Welfarist taxation frameworks Dynamic OLG models for policy analysis Childcare economics and local-level redistribution Family structure evolution and economic determinants His article trends show focus on: Macroeconomic policy and taxation Intergenerational skill transmission Pension system reform Labor tax identification Household time allocation

Robbie BaldockView profile

Senior Lecturer

• DNA Repair
• Mitochondrial Biology
• Pharmacology
• +4 more

Dr. Robbie Baldock is a Senior Lecturer and Associate Head (Employability & Placements) at the University of Portsmouth , where he leads the Baldock Laboratory in the School of Medicine, Pharmacy and Biomedical Sciences . His career spans roles at Solent University (Lecturer/Senior Lecturer), University of Gloucestershire, and University of Pittsburgh (postdoctoral research). He holds a PhD from the University of Sussex and is a Senior Fellow of the Higher Education Academy . Current leadership role: Associate Head (Employability & Placements) Academic institutions: University of Sussex (undergraduate), University of Pittsburgh (postdoc) Professional affiliations: Biochemical Society Local Ambassador, Genes Research Area Panel, Early Career Advisory Panel His research interests focus on DNA repair mechanisms in both nuclear and mitochondrial genomes, antibiotic-induced mitochondrial toxicity , and the role of hydroquinine in bacterial resistance . He also explores augmented reality (AR) in bioscience education to enhance student engagement and accessibility. Recent research outputs highlight trends in antibiotic resistance (e.g., efflux pump regulation in Pseudomonas aeruginosa ), mitochondrial DNA protection , and AR applications in education . His 2024 work on machine learning for COVID-19 detection via X-rays demonstrates interdisciplinary innovation. Scientific awards include: Senior Fellow of the Higher Education Academy (AdvanceHE) Dr. Baldock supervises self-funded PhD students and actively participates in degree program validation and external examining (University of Plymouth). His lab at Portsmouth leverages state-of-the-art equipment for fluorescence analysis, flow cytometry, and cell culture studies.

• Computer Graphics
• Computer Vision
• Virtual Reality
• +4 more

Prof. Dr. Fabian DI FIORE is a Lecturer and Research Coordinator at the Department of Computer Science, Faculty of Sciences, Hasselt University. He is affiliated with the Expertise Center for Digital Media (EDM) and leads research in Computer Graphics, Virtual Reality, and Extended Reality (XR). His roles include coordinating research projects and teaching courses such as Operating Systems, Computer Animation & Simulation, and Computer Graphics & Visual Computing. His research focuses on modeling and simulation, computer vision, and digital media applications. Notable projects include XR innovations for manufacturing, digital support for industrial processes, and collaborative virtual environments for education. He coordinates 16 active research projects, emphasizing XR infrastructure and applied technologies in industry and healthcare. Prof. DI FIORE supervises PhD candidates in Extended Reality applications, such as Psychomotor Task Assistance and Training using XR. He is involved in education initiatives like the International interdisciplinary project and the International School program. His work bridges academic research and practical applications, with a focus on innovation in digital media and educational technology. His teaching responsibilities include coordinating courses on operating systems, computer animation, and project management. He is a co-owner of key training components such as Computer Architecture and International interdisciplinary projects, reflecting his dual role in education and research leadership.

• Geometric Modelling
• Computer Animation
• Computer Art
• +9 more

Valery Adzhiev is a Professor at Bournemouth University's National Centre for Computer Animation (NCCA), part of the Faculty of Media & Communication. He holds a PhD in Computer Science from Moscow State Engineering Physics Institute (MEPhI) and has extensive experience spanning both industry and academia. His career includes significant contributions to the "Buran" spacecraft program (the Russian equivalent of the Space Shuttle) at the Flight Research Institute in Moscow, followed by an Associate Professor position at MEPhI before joining Bournemouth University in 2000. Adzhiev's research primarily focuses on functionally-based geometric modeling and its applications in computer animation, digital art, and 3D fabrication. He has developed theoretical frameworks for hybrid modeling of time-variant heterogeneous objects and has designed high-level modeling languages including HyperFun and HyperJazz. His work on the international HyperFun open-source project has found applications across education, research, design, art, cultural heritage, and computer animation. He has also applied "Empirical Modelling" principles to computer games with high interactivity. His recent publications (2019-2025) demonstrate continued research activity across multiple domains including cultural heritage visualization, multisensory analytics, mass customization, and advanced geometric modeling techniques. These works show a consistent trend toward interdisciplinary applications of his core expertise in function representation, with increasing focus on cultural heritage applications, multisensory data representation, and practical applications in mass customization. Prize in Dream Centenary Computer Graphics Grand Prix '99 Research Fellowship at University of Aizu, Japan Royal Society Research Fellowship at University of Warwick Adzhiev has supervised PhD students including Ali Abdallah (Web-based Shape Modeling) and Mathieu Sanchez (Distance Functions for Time-variant Heterogeneous Object Modelling). He has been involved in multiple significant research grants including VolComAni (Volumetric Computer Animation Framework), VOLCAN (Next Generation Volumetric Computer Animation Framework), and the SHIVA project (Sculpture for Health-care: Interaction and Virtual Art in 3D). He maintains active roles in the academic community as an editorial board member for several journals, program committee member for international conferences, and has served as Technical Program Committee Co-Chair for Shape Modeling International 2013. His work bridges computer science theory with practical applications in art, education, and industry.

• Computer Animation
• Virtual Reality
• Physics Based Modeling
• +8 more

Professor Jian Chang is a leading academic at Bournemouth University with over 15 years of research experience in computer animation. He works at the National Centre for Computer Animation (NCCA), recognized as the UK's No.1 educational and research base for computer animation. His affiliation spans multiple research projects and collaborations with international institutions, NHS surgeons, and organizations like RNLI. His research interests focus on physics based modelling (deformation & fluid), motion synthesis, virtual reality (surgery simulation), and novel HCI (eye tracking, gesture control and haptic). He actively exploits computer animation techniques for cross-disciplinary applications, resulting in significant international research collaborations. His work bridges computer science, engineering, and medical fields through innovative virtual reality applications. Professor Chang's recent publications (2021-2024) demonstrate a strong focus on physics-based fluid simulation, facial animation techniques, surgical instruction generation, and advanced rendering methods. His work shows a consistent trajectory toward more sophisticated physics modeling, particularly in fluid dynamics using SPH methods, and expanding applications in medical training and virtual reality environments. International Travel Grant (TG091783) from The Royal Society (2009) FP7 MC-IIF project 'AniM' - 623883 (Principal Investigator) FP7 MC-IRSES project 'AniNex' - 612627 (Chief Scientist) FP7 funded 'Dr Inventor' project - 611383 (€2.65M) InterReg VA France (Channel) England investment of €5.3M Professor Chang has secured substantial funding from diverse sources including the Royal Society, EU FP7, InterReg VA France (Channel) England, and HEIF. He has taken project management and supervision roles in prestigious EU-funded research projects. His research has directly contributed to innovative developments like the 'virtual surgery theatre' with NHS surgeons and 'virtual lifeboat launching' with RNLI, demonstrating significant cross-sectoral impact potential. His work bridges academic research with practical applications in healthcare, heritage preservation, and maritime safety.

• AI Ethics
• Social Robotics
• Human-Robot Interaction
• +3 more

Prof. Lindner is a distinguished academic specializing in AI ethics, social robotics, and human-robot interaction. He has supervised numerous PhD graduates in technical fields, as indicated by the list of Dr.-Ing. graduates under his mentorship. His research focuses on explainable AI systems, ethical decision-making frameworks for robots, and the integration of moral reasoning into autonomous systems. Key research interests include: Explainability in medical AI Multimodal explanations for robot behavior Human-in-the-loop reinforcement learning Ethical adaptability in dynamic contexts Formalization of deontological principles in AI Recent work explores causal structures in moral dilemmas, trust in AI systems, and the formalization of ethical principles for robots. Lindner’s publications emphasize both technical advancements and normative ethical considerations, bridging gaps between AI capabilities and societal expectations. His students have pursued diverse careers in academia and industry, reflecting the applied nature of his research. Lindner’s contributions to social robotics and AI ethics have been foundational in developing frameworks for ethically aware autonomous systems.

Paul S. LaFollette, Jr.View profile

Associate Professor

• Algorithms
• Combinatorial Generation
• Program Visualization
• +4 more

Paul S. LaFollette, Jr. MD serves as Associate Professor in the Department of Computer and Information Sciences within Temple University's College of Science & Technology. With a unique dual background in medicine and computer science, he has maintained continuous faculty appointment since 1982 (promoted to Associate Professor in 1987) and served as Department Chair from 2002-2005. His current teaching responsibilities include CIS 2168 (Data Structures) as evidenced by active course materials. Education: B.S. in Mathematics, Duke University (1969) M.D., Temple University School of Medicine (1974) LaFollette's research traverses two distinct domains: early biomedical engineering work in ultrasound diagnostics (1970s-1980s) and sustained contributions to theoretical computer science (1990s-2000s). His primary expertise lies in combinatorial algorithms, particularly loopless generation techniques for trees, permutations, and combinatorial structures. Significant secondary interests include program visualization systems for education and medical imaging physics. This dual trajectory reflects his transition from medical practice to computer science academia. His 15 most recent publications reveal a clear evolution from biomedical engineering (1980s-early 1990s) to pure computer science (mid-1990s onward), with nearly all post-1998 work focusing on combinatorial generation algorithms. The overwhelming majority appear in top theoretical computer science venues, demonstrating sustained contributions to discrete mathematics and algorithm design. Medical imaging research continues to inform his approach to visual representation problems. Scientific Recognition: NIH Post-Doctoral Fellowship (1975-1977) LaFollette secured multiple competitive grants including two Ben Franklin Partnership awards ($40,000 each as PI for Advanced Visual Automata Systems I & II) and NIH funding ($39,800 as Senior Investigator for ultrasound artifact research). While no formal advising records appear in source materials, his program visualization research (1998-2000) directly supported classroom instruction through tools like the Visual Interface for C/C++ animation. His departmental leadership as Chair (2002-2005) further demonstrates institutional commitment. Though no dedicated lab is mentioned, his research manifests through collaborative projects with J. Korsh (algorithms) and R. Sangwan (visualization), suggesting a small research group focused on combinatorial generation and educational tools. Current course development indicates ongoing engagement with computer science pedagogy despite his 1947 birth year.

Ruth SimsView profile

Senior Lecturer

• Ergonomics
• Human Factors
• Behaviour Change
• +3 more

Dr Ruth Sims serves as Senior Lecturer in Psychology and Ergonomics at the University of Derby's School of Psychology within the College of Science and Engineering. Her work integrates ergonomics, human factors, and inclusive design with particular focus on ageing populations, disability inclusion, and behaviour change interventions across domestic, transport, and workplace environments. Her academic credentials include: BSc (Hons) Psychology, University of Exeter (1998) MSc Ergonomics, Loughborough University (1999) PhD 'Design for All: methods and data to support designers', Loughborough University (2003) Certificates in Early Years Practice and Health & Social Care (Open University) Dr Sims' research centers on inclusive design solutions addressing real-world challenges for older and disabled populations. Her pioneering work on kitchen ergonomics examines historical usage patterns and contemporary adaptations, while her transport accessibility research spans public transit systems, road safety in emerging economies, and the development of the HADRIAN digital tool for virtual fitting trials. Recent projects focus on behaviour change interventions for musculoskeletal disorders and train driver safety, demonstrating practical applications of ergonomics in high-risk environments. Analysis of her publication history reveals consistent thematic evolution: from foundational anthropometric studies (2010-2012) toward integrated behaviour-change frameworks (2016-2023), with notable expansion into pandemic-responsive healthcare design (2023) and cross-species ergonomics applications (2021). Her work consistently bridges academic research and industry implementation through co-design methodologies. Professional recognition includes: Fellow of the Higher Education Academy She maintains active roles as Chartered Ergonomist and Human Factors Specialist, and Graduate Member of the British Psychological Society. As Pathway Lead for the MSc Behaviour Change (Ergonomics and Human Factors) programme, she supervises PhD candidates and delivers modules across undergraduate Psychology and postgraduate Ergonomics programmes. Her industry collaborations include the SaferBraIn project (India/Brazil road safety) and DEVICE initiative (child-focused design education), with grant funding supporting international data collection trials involving older/disabled participants. Dr Sims co-leads the Digital and Material Artistic Research Centre's inclusive design stream, advancing the HADRIAN toolkit for virtual accessibility assessment. Her global consortium work—particularly with Indian and Brazilian institutions—focuses on adapting European safety standards to emerging economies while developing culturally responsive design solutions for vulnerable road users.

Ravi ChughView profile

Associate Professor

• Functional Programming
• Program Synthesis
• Graphical User Interface
• +3 more

Ravi Chugh is an Associate Professor of Computer Science at the University of Chicago, serving as Director of Undergraduate Studies since July 2023. He holds a Ph.D. from the University of California, San Diego (2013). His research focuses on programming languages and human-computer interaction, with a particular emphasis on direct manipulation programming systems, structured editors, and functional programming. Chugh has received the NSF CAREER Award (2017) and the Neubauer Faculty Fellowship (2015) for his contributions to undergraduate education and innovative research. Research Interests: Ravi’s work bridges programming language theory and interactive systems design. He develops tools like Deuce and Sketch-n-Sketch to create more user-friendly IDEs and GUI-driven programming environments. His research spans program synthesis, type systems, bidirectional evaluation, and live coding interfaces. Awards: - 2017 NSF CAREER Award - 2015 Neubauer Faculty Fellowship Advising & Grants: Chugh has advised numerous students (listed in detail below) and contributed to grants focused on HCI and programming language tooling. He is actively involved in organizing conferences like POPL, PLDI, and CHI, holding roles such as PC member and program chair. Labs & Groups: He leads the Programming Languages Group at UChicago, emphasizing practical applications of language design and theoretical foundations. His team explores topics like declarative UIs, live bidirectional systems, and creative coding education.

Hisham AliView profile

Assistant Professor

• Hypersonics
• Magnetohydrodynamics
• Plasma Physics
• +3 more

Hisham Ali is an Assistant Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder (CU Boulder), affiliated with the Aerospace Mechanics Research Center (AMREC). He holds a PhD and MS in Aerospace Engineering from Georgia Institute of Technology (2019 and 2015) and a BS from the University of Alabama (2013). His research focuses on hypersonics, magnetohydrodynamics (MHD), plasma physics, planetary entry systems, and aerocapture technologies for space exploration. Education: PhD, Aerospace Engineering, Georgia Tech, 2019 MS, Aerospace Engineering, Georgia Tech, 2015 BS, Aerospace Engineering, University of Alabama, 2013 Ali’s research explores MHD drag modulation for planetary entry missions (e.g., Neptune aerocapture), plasma wind tunnel development, and energy harvesting during atmospheric entry. His work aims to reduce mission costs, enhance spacecraft efficiency, and enable human exploration of outer planets. Key projects include tabletop-scale plasma tunnel facilities and RF/MW instrumentation suites for hypersonic flow studies. He has received prestigious awards such as the NASA Space Technology Research Fellowship (2013) and the Barry M. Goldwater Scholarship (2012). His contributions span academic and industrial roles, including postdoctoral research at Georgia Tech and a position at The Aerospace Corporation. Ali advises graduate students in CU Boulder’s Aerospace Engineering program and collaborates on grants focused on hypersonic aerodynamics and MHD systems. His laboratory (AER0 369) integrates experimental and computational approaches to advance space exploration technologies.

John FarnsworthView profile

Associate Professor

• Fluid Dynamics
• Aerodynamics
• Flow Control
• +5 more

John Farnsworth is an Associate Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He serves as Director of the Aerospace Mechanics Research Center (AMReC) and the Research and Engineering Center for Unmanned Vehicles (RECUV). His expertise lies in experimental fluid dynamics, particularly in flow control, unsteady aerodynamics, and wind tunnel testing. Farnsworth holds a PhD, MS, and BS in Aeronautical Engineering from Rensselaer Polytechnic Institute (2011, 2007, 2006). His research focuses on image-based flow velocimetry, fluid-structure interaction, and biologically inspired flight. Notable contributions include studies on wind turbine aerodynamics, synthetic jet dynamics, and stall flutter mechanisms. He has developed novel wind tunnel systems like the WindCline for wildfire combustion analysis and the unsteady low-speed wind tunnel with louver systems. Awards include the Michael A. Sadowsky Prize (2007) and NSF Graduate Fellowship Honorable Mention (2006–2007). His work bridges computational and experimental methods, emphasizing practical applications in aerospace systems and environmental fluid dynamics. Key collaborations include investigations into wind turbine blade aerodynamics under varying inflow conditions and active flow control strategies for flexible wings. His labs emphasize interdisciplinary approaches to address challenges in aerodynamics, propulsion, and unmanned vehicle systems.

• Video Coding
• Image Compression
• Machine Learning for Video Processing
• +5 more

Seyoon Jeong is a Professor in the Department of Computer Science and Engineering at Korea University's College of Engineering, with an extensive research career spanning over two decades in video coding, image compression, and computer vision. His scholarly contributions demonstrate consistent engagement with cutting-edge research topics in multimedia processing. Jeong's research primarily focuses on video and image compression technologies, with recent emphasis on Video Coding for Machines (VCM), High Efficiency Video Coding (HEVC), and machine learning applications for visual data processing. His work bridges traditional signal processing with modern AI techniques, particularly in optimizing compression algorithms for both human perception and machine vision tasks. Over the past five years, his research has increasingly concentrated on feature map compression, multi-scale processing, and the development of specialized coding techniques for machine-oriented applications. Analysis of his recent publications (2020-2024) reveals a clear research trajectory toward optimizing video coding specifically for machine vision systems rather than traditional human viewing. This emerging field addresses the challenge of efficiently transmitting visual data to AI systems that process video for tasks like object detection and scene understanding, where conventional perceptual quality metrics are less relevant. His work often involves collaboration with researchers from Korean institutions and international partners, reflecting the global nature of multimedia research. While specific awards aren't documented in the provided materials, his consistent publication record in top-tier journals and conferences (IEEE Transactions, CVPR, NeurIPS) indicates significant recognition within the multimedia research community. His research has practical applications in areas including 5G video transmission, machine vision systems, and efficient visual data processing for AI applications.

• Cybersecurity
• Educational Technology
• Biometric Systems
• +5 more

Jelena Gavrilović is an Assistant Professor at Singidunum University's Faculty of Informatics and Computing, specializing in Computer Science with a focus on cybersecurity, educational technology, and biometric systems. She holds a Doctoral degree in Advanced Protection Systems from Singidunum University (2022), preceded by a Master's in Contemporary Information Technologies (2011) and a Bachelor's in Programming and Design (2007). Education Background: High School: Srednja Tehnička PTT škola, Beograd (2002) Bachelor: Fakultet za informatiku i računarstvo, Programming and Design (2007) Master: Fakultet za informatiku i računarstvo, Contemporary Information Technologies (2011) PhD: Singidunum University, Advanced Protection Systems (2022) Research interests include cybersecurity frameworks, adaptive learning systems, and robust biometric authentication mechanisms. Her work combines technical innovation with pedagogical applications, such as integrating dynamic mathematics software into distance education platforms. Recent projects focus on drone forensics and multi-modal biometric systems for enhanced security. Notable contributions include studies on noise uncertainty in predictive systems (2015), comparative analysis of activity-based costing models in automotive industries (2011), and development of free mathematics education tools (2012). Her publications span academic journals like Journal of Mechatronics and conference proceedings such as Sinteza and ICETRAN. She actively contributes to Singidunum University's distance learning initiatives, emphasizing interoperability between educational software and modern e-learning architectures. Current projects explore hybrid optimization algorithms for healthcare applications and AI-driven path planning for mobile robots.