Find Academic Supervisors

• Neuroimaging
• Biomedical Data Analysis
• Machine Learning
• +3 more

Lorenza Brusini is a Temporary Assistant Professor at the Department of Engineering for Innovation Medicine, University of Verona, specializing in Bioengineering (IBIO-01/A). Her work integrates Machine Learning , Neuroimaging , and Computer Vision to develop numerical biomarkers for neurological conditions. Research Focus: Multi-modal neuroimaging (diffusion MRI, EEG, fNIRS), computational neuroscience, and AI-driven medical data analysis. Teaching: Offers courses in Biomedical Image Analysis, Neurohealth Data Modeling, and Intelligent Healthcare Systems for both bachelor's and master's programs. Labs: Active in INTELLIGO Labs and ALTAIR Laboratory, with expertise in Electronic Systems Design and Parallel Computing. Her recent publications emphasize explainable AI in neuroimaging, systems neuroscience , and medical signal processing . She serves on academic committees including the Information Engineering Teaching Committee and Department Council.

Marc OlanoView profile

Associate Professor

• Computer Graphics
• Real-Time Systems
• Game Development
• +5 more

Dr. Marc Olano is an Associate Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He specializes in real-time 3D graphics, non-graphics applications of graphics hardware, and game development. As director of UMBC’s Game Development Track and 3D photogrammetric scanning facility, he focuses on advancing interactive technologies and environmental monitoring systems like Ecosynth. His research collaborations include work with gaming companies such as Firaxis, Epic Games, and Activision, as well as contributions to virtual reality (VR) applications in healthcare and scientific visualization. Dr. Olano holds a Ph.D. in Computer Science from the University of North Carolina and a B.S. in Electrical Engineering from the University of Illinois. Education: Ph.D., Computer Science, UNC (1998); B.S., Electrical Engineering, UIUC (1990). Research Interests: Computer graphics, GPU acceleration, VR, game development, and ecological 3D scanning. Key Roles: Director of Game Development Track, Editor-in-Chief of the Journal of Computer Graphics Techniques. Olano’s work bridges academia and industry, emphasizing practical applications like texture compression for games, VR-based rehabilitation systems, and UAV-driven environmental analysis. His research often leverages GPU computing to solve real-world problems, from optimizing rendering algorithms to enabling large-scale ecological data collection through Ecosynth. Publications span VR systems, subsurface scattering techniques, and GPU algorithms, reflecting his commitment to advancing interactive and computational graphics. His teaching and mentorship in the Game Development Track prepare students for roles in game design, while his lab facilities provide hands-on experience with cutting-edge technologies.

• Mathematical Optimization
• Nonlinear Optimization
• Mixed-Integer Optimal Control
• +3 more

Christian Kirches is a full professor at the Institute for Mathematical Optimization within the Carl-Friedrich-Gauß-Fakultät (Faculty of Mathematics, Technische Universität Braunschweig). His research focuses on nonlinear optimization , mixed-integer optimal control , and robust optimization for dynamic systems. He was awarded the Klaus-Tschira prize (2011) for public science communication and the Hengstberger prize (2014) for junior researchers, and received an ERC Consolidator Grant (2022) for his work on optimization under uncertainty. Alumni of Heidelberg University (Diploma, Doctorate, Habilitation) Former resident associate at Argonne National Laboratory and postdoctoral appointee at the University of Chicago Leader of a junior research group (2013–2017) at Heidelberg University His recent publications highlight advancements in mixed-integer nonlinear programming , real-time control systems , and optimization for sustainable energy and transportation . He collaborates with researchers on projects like wind farm control, hydrogen aviation networks, and chromatography process optimization. His methodological work on sum-up rounding , trust-region algorithms , and combinatorial integral approximation has been published in journals such as SIAM Journal on Optimization, Mathematical Programming, and IEEE Control Systems Letters. Kirches also serves as area coordinator for Optimization Online and was associate editor for OR Spectrum (2022–2024). Scientific Awards: Klaus-Tschira Prize (2011) Hengstberger Prize (2014) ERC Consolidator Grant (2022) He is an elected member of the COIN-OR initiative and contributes to open-source optimization software. His lab at TU Braunschweig develops algorithms for dynamic systems under uncertainty, with applications in energy management, autonomous traffic, and industrial processes.

• Digital Art
• Game Environment Design
• Concept Art
• +4 more

Justin Kunz is an Associate Professor in the Design Department at Brigham Young University (BYU). He holds a Master of Fine Arts (MFA) in Painting from Laguna College of Art and Design and a Bachelor of Fine Arts (BFA) in Illustration from BYU. His professional career spans over a decade as a Master Designer in the United States Mint’s Artistic Infusion Program, contributing to 13 minted coins and medals. Additionally, he has extensive experience in game development, serving as a Lead Texture and Concept Artist at Disney Interactive Studios and a Senior 3D Artist at Blizzard Entertainment, where he designed environments for major titles like World of Warcraft , Hearthstone , and Overwatch . His creative work, including illustrations and paintings, has been featured in regional and national exhibitions and has garnered numerous awards and recognitions. Kunz’s expertise bridges traditional art practices with digital design, emphasizing conceptualization, 3D modeling, and immersive environment creation.

Jundong LiuView profile

Associate Professor

• Machine Learning
• Deep Learning
• Reinforcement Learning
• +7 more

Jundong Liu is an Associate Professor in the School of Electrical Engineering and Computer Science (EECS) at Ohio University's Russ College of Engineering and Technology, with an affiliation to the Biomedical Engineering program. He directs the Learning & Intelligent Systems Lab (LiSL) and focuses on machine learning, deep learning, neuromorphic computing, and their applications in medical imaging, speech processing, and autonomous systems. Education: Ph.D., Computer Information Science and Engineering, University of Florida M.S., Computer Science, Peking University B.S., Computer Science, Wuhan University Research Interests: Machine learning, deep learning, and reinforcement learning Medical image analysis (brain tumor segmentation, Alzheimer’s disease modeling) Computer vision (neuroimaging analysis, radar signal processing) Neuromorphic computing and spiking neural networks Key Contributions: Developed segmentation-assisted image registration methods for neuroimaging Advanced spiking neural networks for low-power computing Contributed to biotesting using plasmonic nanoparticles Labs/Teams: Leads the Learning & Intelligent Systems Lab (LiSL), collaborating on AI-driven solutions for medical, autonomous systems, and signal processing challenges.

Farhad A KamangarView profile

Professor

• Artificial Intelligence
• Computer Vision
• Neural Networks
• +3 more

Dr. Farhad A Kamangar is a Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), part of the College of Engineering. He holds a PhD in Electrical Engineering from UTA (1980), an MS from UTA (1977), and a BS from the University of Tehran (1975). His research focuses on Neural Networks, Computer Vision, Artificial Intelligence, and Computer Graphics. He has been recognized with awards such as the 2018 President's Award for Transformative Online Education and induction into UTA's Academy of Distinguished Teachers. Dr. Kamangar's research spans domains like machine learning, image processing, and medical applications. His recent publications address challenges in GAN-based data augmentation, deep subspace clustering, and unsupervised pose estimation. He has advised numerous graduate students and contributed to funded projects in swarm motion planning, telemedicine, and sensor networks. He teaches courses like Neural Networks and Computer Graphics and serves on academic committees including the Ph.D. Admissions Committee and Tenure & Promotion. Grants: Includes NSF-funded projects on telemedicine adherence systems and collaborative robotics. Awards: 2018 President's Award, Robert Q. Lee Award (1997), and multiple teaching honors. Service: Committee roles in curriculum, faculty recruitment, and student appeals.

Reuben FlemingView profile

Senior Lecturer

• Animation
• Games Design
• Digital Media Production
• +4 more

Reuben Fleming is a Senior Lecturer at Sheffield Hallam University, affiliated with the Sheffield Creative Industries Institute and the Culture and Creativity Research Institute. His roles include teaching across undergraduate Animation, Games Design, and Digital Media Production courses, as well as leading the MA Animation program. He holds a BA and MA and is a Fellow of the Higher Education Academy (FHEA). His research focuses on 3D body scanning and the perceptual effects of stylization in avatars, bridging computer graphics and human-computer interaction. Notable work includes studies on avatar aesthetics using 3D body scans and feasibility assessments of Microsoft Kinect in multi-disciplinary contexts. No scientific awards or grants are explicitly listed in the provided information. His professional experience spans the games industry and freelance animation projects across TV, advertising, and digital media. Reuben collaborates with the Culture and Creativity Research Institute, contributing to interdisciplinary projects in animation and digital media production.

• Computer Science
• Medical Imaging
• Virtual Reality
• +4 more

Dr. Victor Asavei is a Lecturer in the Faculty of Automatic Control and Computers at the Politehnica University of Bucharest. His research spans interdisciplinary areas including virtual reality, medical imaging, and high-performance computing. He is affiliated with the 3DUPB Lab, focusing on 3D virtual environments and GPU optimizations for massive multiplayer online systems. His work integrates computer graphics, signal processing, and network engineering, with notable contributions to 3D Smith chart theory, medical image processing for orthopedic applications, and real-time 3D reconstruction techniques. Collaborations include projects on augmented reality in surgery, distributed file systems, and immersive virtual rehabilitation systems. Key research directions include: Virtual Reality (VR) and Augmented Reality (AR) applications in healthcare and education GPU-accelerated algorithms for medical imaging and deferred rendering RF/microwave engineering with focus on nonlinear circuits and impedance analysis Software-Defined Networking (SDN) architectures for data centers Notable publications highlight advancements in 3D Smith chart visualization, real-time depth map processing on mobile devices, and scalable server architectures for 3D virtual spaces. He actively contributes to conferences such as IEEE Microwave Symposium and RoEduNet. Research infrastructure includes collaborations with medical institutions for computer-aided surgery tools and partnerships with industry on nearshore software development methodologies.

Michael MeredithView profile

Associate Professor

• Digital Humanities
• Augmented Reality
• 3D Graphics
• +4 more

Dr Michael Meredith is an Associate Professor and Associate Head in the School of Computing and Digital Technologies at Sheffield Hallam University. He also serves as the Student Recruitment Lead for the School. His research focuses on digital humanities, augmented reality, 3D graphics, and mathematical modeling, with applications in cultural heritage, biomechanics, and interactive technologies. Meredith holds a BEng and PhD in Computer Science from the University of Sheffield. Education: BEng in Computer Science PhD in Computer Science (University of Sheffield) His research spans diverse areas including virtual world applications for historical research, consumer-grade technology for heritage digitization, and real-time inverse kinematics for character animation. He has contributed to projects modeling medieval scribal hands, virtual environments for visitor attractions, and navigational AR systems using fiducial markers. Meredith's publications reflect expertise in interdisciplinary research, blending computer science with humanities. His work has been recognized with Best Paper Awards at GAME-ON 2004 and GDTW 2004. He teaches programming and software engineering courses, emphasizing practical applications of advanced computer science concepts. Key collaborations include projects on authorship attribution in medieval manuscripts and virtual reconstruction of heritage sites using accessible technologies. His research often bridges technical innovation with cultural and historical preservation.

Ranran FengView profile

Senior Lecturer

• Computer Vision
• Pattern Recognition
• Machine Learning
• +4 more

Ranran Feng is a Senior Lecturer in the Department of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. She holds a Ph.D. in Computer Science from UTD (2014) and an M.S. in Computer Science from Sam Houston State University (2009). Her research focuses on computer vision, pattern recognition, and machine learning with applications in facial recognition, multimedia retrieval, and data mining. Specific interests include post-surgery face recognition, fashion camouflage effects on facial identity, and makeup impact analysis for age estimation. Her work has been published in venues exploring topics ranging from test code quality evaluation in JavaScript libraries to depth extraction from 2D images. She is affiliated with IEEE, ACM, and the Society of Women Engineers. Dr. Feng’s research demonstrates interdisciplinary approaches to solving challenges in visual computing and algorithmic analysis, combining theoretical advancements with practical applications in health informatics and digital media.

Sarah Adel BargalView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Explainable AI
• +1 more

Sarah Adel Bargal is an Assistant Professor in the Department of Computer Science at Georgetown University. Her research focuses on computer vision and machine learning, particularly in the areas of explainable AI and neural-backed decision trees. Education: She holds a PhD in Computer Science from Boston University (2018), an MSc in Computer Science from The American University in Cairo, and a BSc in Computer Science from Kuwait University. Research interests include developing transparent AI systems and creating methods for neural network interpretability. Her work bridges theoretical computer science with practical applications in visual recognition systems. Her publications demonstrate a consistent focus on computer vision applications in healthcare, education, and security. Recent trends show increasing work on generative models, medical imaging, and educational technology applications. Awards include: Provost's Distinguished Faculty Fellow IBM Ph.D. Fellow Hariri Graduate Fellow Outstanding Teaching Fellow Award Top-three finalists for EmotiW 2016 Competition Social Entrepreneurship Award Hariri Award for Transformative Computational Science Research Office of Technology Development Award Dr. Bargal leads the Image and Video Computing Group and has directed AI education initiatives including Boston University's AI4ALL program. Her lab focuses on developing explainable computer vision systems for real-world applications.

Mike BaileyView profile

Professor

• Scientific Visualization
• GPU Programming
• 3D Printing
• +2 more

Mike Bailey is a Professor at Oregon State University's School of Electrical Engineering and Computer Science, holding a PhD from Purdue University in computer graphics and CAD. With industry experience at Megatek and Sandia National Labs, he bridges academic and applied computer graphics. His research spans scientific visualization, GPU programming, 3D printing applications, and HPC graphics. Current projects include GPU-accelerated neutron transport simulation and Vulkan API educational tools. Core innovations involve volume rendering and physics-based simulation techniques. Publications cover graphics APIs, simulation methodologies, and educational approaches. Recent work focuses on making advanced graphics accessible through beginner tutorials and open-source tools. Honored with SIGGRAPH's Outstanding Service Award and multiple teaching awards, he develops curriculum integrating 3D printing and AR/VR. Community contributions include SIGGRAPH conference leadership and open educational resources.

Frederick GardnerView profile

Assistant Professor

• Animation Production
• Visual Development
• Character Animation
• +2 more

Frederick Gardner is Assistant Professor of Practice at UT Dallas' Bass School of Arts, Humanities, and Technology. A 3-time Emmy Award winner and member of the Academy of Television Arts & Sciences, he bridges animation industry experience with academic instruction. His professional credits include character design and art direction for productions such as The Simpsons, Powerpuff Girls, and Space Jam. Gardner teaches visual development and environment design, emphasizing composition principles and industry-standard techniques. He leads study abroad programs in Ireland focusing on animation production and coordinates student portfolio reviews at major industry events including CTN Expo and Lightbox Expo. His pedagogical approach integrates professional practice with theoretical foundations, preparing students for careers in animation production. Current creative work explores cultural representation in animated features and serial productions.

Timothy LewisView profile

Senior Lecturer

• Game Design
• Virtual Reality Development
• Level Design
• +3 more

Timothy Lewis is Senior Lecturer at The University of Texas at Dallas, teaching in the Arts and Technology program. With expertise spanning game development, virtual reality, and technical direction, he focuses on the intersection of creative design and computational implementation. Lewis' professional background includes industry experience in game environment asset creation, VR simulation, and web development. His teaching emphasizes practical skills in 3D modeling, game engine workflows, and optimization techniques for real-time graphics. Research interests include immersive experience design, simulation technologies, and collaborative development methodologies. Lewis maintains active industry connections, ensuring curriculum relevance to evolving technology sectors.

• Game Development
• 3D Modeling
• Real-time Graphics
• +3 more

Nicholas Hunter serves as a Lecturer within the Games and Interactive Media Program at the University of Central Florida, specializing in real-time 3D production for simulation environments. His academic background includes: BA in Digital Media from University of Central Florida MS from University of Central Florida's Florida Interactive Entertainment Academy Mr. Hunter's research focuses on 3D modeling pipelines for real-time engines , with significant contributions to synthetic training environments in the military simulation sector. His applied work demonstrates expertise in bridging game technology with practical training solutions, particularly through published contributions to the Armed Assault game series. This positions him at the intersection of entertainment technology and defense applications where real-time graphics drive immersive training experiences. No scientific awards or student advising activities were documented in available materials. Professional activities center on industry-academia collaboration in simulation development without mention of dedicated research labs or grant-funded projects.