Find Academic Supervisors

Robin WelschView profile

Assistant Professor

• Human-Computer Interaction
• Virtual Reality
• Social Robotics
• +4 more

Robin Welsch is an Assistant Professor in the Department of Computer Science at Aalto University, specializing in Human-Computer Interaction (HCI) with strong interdisciplinary connections to psychology. Their work bridges computer science and cognitive/clinical psychology, focusing on virtual reality, social robotics, and human augmentation technologies. Affiliated with both the Engineering Psychology (ENGPSYCH) and Human-Computer Interaction and Design (HCID) research areas, Welsch maintains an active international research profile with publications in top-tier venues including CHI, IEEE Transactions, and PLOS One. Research interests center on the psychological and behavioral aspects of emerging technologies. Key areas include interpersonal distance regulation in virtual environments, social dynamics in VR/AR, cognitive and placebo effects of AI augmentation, and ethical considerations in human-robot interaction. Their work frequently examines how psychological factors (social anxiety, psychopathy traits, aging) influence technology interaction, with strong emphasis on experimental methodologies combining physiological sensing, behavioral observation, and computational analysis. Recent publications (2023-2025) reveal three dominant trends: 1) Social VR research exploring proxemics, privacy, and gaze behavior; 2) Investigations into placebo effects and performance expectations in human-AI interaction; 3) Methodological contributions to bias detection in ML annotation and AR social media applications. This work consistently applies rigorous experimental psychology frameworks to HCI problems. Award highlights: CHI PLAY 2023 Honorable Mention for VR locomotion research Welsch actively collaborates across institutions (Germany, Finland, Australia) and disciplines, with notable partnerships in psychology departments and HCI labs. While specific grant details aren't provided, the volume and venue quality of publications suggest sustained research funding. Current work shows increasing focus on generative AI's impact on design processes and ethical implications of emerging interaction paradigms. Research occurs within Aalto University's Engineering Psychology and HCID groups, with emphasis on experimental VR/AR setups and physiological measurement systems. Recent projects involve social VR scenarios, location-based AR applications, and human-robot interaction studies in public spaces.

• Machine Learning
• Deep Reinforcement Learning
• Autonomous Driving
• +3 more

Vesa Hirvisalo is a Senior Lecturer in the Department of Computer Science at Aalto University. His professional profile shows active involvement in research related to computing systems and artificial intelligence. Research Focus: His work primarily addresses machine learning applications in autonomous systems, real-time processing, and heterogeneous computing environments. Publications highlight expertise in deep reinforcement learning, computer vision, and industrial informatics. Recent Publication Trends: His research output demonstrates a strong focus on deep reinforcement learning for task scheduling, autonomous driving environments, and optimizing convolutional neural networks for mobile applications. Collaborations span academic and industrial domains. Professional Contact: Email: vesa.hirvisalo@aalto.fi

André ZennerView profile

Researcher

• Virtual Reality
• Augmented Reality
• Haptic Feedback
• +5 more

Dr. André Zenner is a Post-Doctoral Researcher at the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) within the Saarland Informatics Campus, affiliated with Saarland University's Faculty of Computer Science and Department of Human-Computer Interaction. He leads research in the Ubiquitous Media Technology Lab (UMTL) under Professor Antonio Krüger, where he focuses on advancing virtual reality interaction techniques through perceptual illusions and haptic feedback systems. Dr. Zenner's research interests center on virtual and augmented reality, with particular expertise in haptic feedback, redirection techniques, psychophysics, and illusion techniques. His work investigates how to create more immersive and natural VR experiences by leveraging perceptual thresholds and multimodal sensory integration. He has pioneered research in hand redirection techniques, developing methods that subtly alter hand movements in VR without users noticing, enabling applications like reaching beyond physical boundaries and enhancing safety in VR environments. His research bridges the gap between theoretical psychophysics and practical VR applications, with implications for training, education, and consumer VR experiences. Dr. Zenner has received significant recognition for his work, including the prestigious IEEE VGTC Virtual Reality Best Dissertation Award in 2024 and the Best Poster Award at VRST 2023. His research has been published extensively in top-tier venues including CHI, UIST, and IEEE VR, with over 49 publications to his name. He has served as General Chair for the ACM Symposium on Spatial User Interaction (SUI) 2024 and as a program committee member for numerous conferences including ACM VRST and IEEE VR. As an educator, Dr. Zenner has taught numerous courses at Saarland University including 'Virtual Reality - Grundlagen und Stand der Forschung' and 'Recent Topics in XR and XAI'. He has supervised over 15 Master's and Bachelor's theses on VR topics, mentoring students through research on hand redirection, haptic feedback, and perceptual illusions. His lab, the Ubiquitous Media Technology Lab, fosters interdisciplinary collaboration between computer science, psychology, and design to push the boundaries of immersive technologies.

Jianbo JiaoView profile

Associate Professor

• Computer Vision
• Machine Learning
• Healthcare
• +3 more

Jianbo Jiao is an Associate Professor at the School of Computer Science, University of Birmingham . He leads the MIx (Machine Intelligence + x) research group and holds a Fellowship of the Higher Education Academy . His academic journey includes a PhD in Computer Science from City University of Hong Kong (supported by the Hong Kong PhD Fellowship), postdoctoral work at University of Oxford (BioMedIA and VGG groups), and visiting roles at University of Illinois Urbana-Champaign (IFP group) and Tencent AI Lab . Research Interests: Computer Vision Machine Learning Healthcare Applications AI for Science His work focuses on open-world representation learning with reduced supervision, leveraging multi-modal auxiliary information. This includes significant contributions to medical imaging , 3D scene reconstruction , and AI4Science applications. He also explores transformer models , few-shot learning , and cross-modal knowledge transfer . Publication Trends: Recent articles highlight advancements in medical imaging (fetal ultrasound analysis), 3D scene modeling (Gaussian splatting, novel view synthesis), and multi-modal learning (audio-visual fusion). Key venues include ICLR , CVPR , NeurIPS , and ECCV . Scientific Recognition: Best Paper & Best Presentation (Runner-Up) at MICCAI 2024 ASMUS Workshop Amazon Research Award (2024) Royal Society Short Industry Fellowship (2023) International Exchanges Grant (2023) Outstanding Reviewer Awards at NeurIPS, ICML, and ACCV Academic Service: He serves as Area Chair for NeurIPS , ICML , and ACM MM , and as Associate Editor for T-CSVT , TMLR , and The Visual Computer .

Brian MonsonView profile

Associate Professor

• Extended High-Frequency Hearing
• Speech Perception
• Audiology
• +5 more

Brian Monson is an Associate Professor in the Department of Speech and Hearing Science at the University of Illinois' College of Applied Health Sciences. His research focuses on extended high-frequency hearing (8-20 kHz) and its critical role in speech perception, particularly in challenging listening environments. Dr. Monson's research interests center on understanding why humans can hear frequencies up to 20 kHz when conventional clinical hearing tests only assess up to 8 kHz. His work has demonstrated that extended high frequencies play a significant role in determining speaker orientation and improving speech comprehension in noisy settings. He recently received a five-year, $2 million grant from the National Institute on Deafness and Other Communication Disorders for his study The ecological significance of extended high-frequency hearing in humans . His research has important clinical implications, particularly for addressing the most common complaint among hearing aid users: difficulty understanding speech in noisy situations. Dr. Monson's findings suggest that current hearing aids, which don't represent extended high frequencies, may be missing a critical component for optimal speech perception in real-world environments. As an educator, Dr. Monson teaches courses including SHS 170 (Intro Hum Comm Sys & Disorders), SHS 240 (Intro Sound & Hearing Science), SHS 389 (Neuroplasticity and Comm), SHS 470 (Neural Bases Spch Lang), SHS 541 (Clinical Auditory Anat & Phys), and SHS 592 (Prosem Spch & Hear Sci).

Dmitry ZotkinView profile

Adjunct Associate Professor

• Spatial Audio
• Audio Signal Processing
• Microphone Arrays
• +3 more

Dmitry Zotkin serves as an Adjunct Associate Professor at the University of Maryland Institute for Advanced Computer Studies (UMIACS), affiliated with the Center for Automation Research. His research centers on computational audio, with primary expertise in spatial audio capture and reproduction systems. He investigates advanced microphone array configurations, auditory scene analysis techniques, and efficient numerical solvers for acoustic wave propagation. His work bridges theoretical acoustics with practical signal processing applications in immersive audio environments. Zotkin maintains active research operations from his office in the Iribe Center (4218) with contactable phone line (301) 405-1049, focusing on advancing spatial audio technologies through computational methods.

Anthony ElliottView profile

Research Professor

• Sociology
• Artificial Intelligence
• Robotics
• +4 more

Anthony Elliott is Distinguished Professor of Sociology and Dean of External Engagement at the University of South Australia, where he serves as Executive Director of the Hawke EU Jean Monnet Centre of Excellence. He holds concurrent positions as Visiting Global Professor at Keio University (Japan) and Visiting Professor at University College Dublin. Previously, he was Director of the Hawke Research Institute (2012-2016) and Associate Deputy Vice-Chancellor at Flinders University. His research examines the societal impacts of emerging technologies, with current focus areas including: Robotics and AI's implications for employment futures Identity transformations in digital societies Globalization and new economic structures Theoretical frameworks for understanding accelerated social change Professor Elliott's recent publications demonstrate strong interdisciplinary engagement, particularly bridging sociology with technology studies. Key themes include human-machine relationships, cultural impacts of AI, mobility transformations, and reconfigurations of identity in globalized contexts. His work consistently addresses how technological acceleration reshapes fundamental social structures. Major scientific honors include: Member of Order of Australia (2023) Lifetime Achievement Award, University of Melbourne (2024) Fellowship at Academy of Social Sciences Australia Visiting professorships at 12+ international institutions He leads significant research initiatives including ARC-funded projects on Industry 4.0, socially assistive robotics in aged care, and EU Erasmus+ collaborations on driverless vehicles. As founding director of multiple research centers, he oversees interdisciplinary teams examining the societal dimensions of technological transformation.

Mikko LauriView profile

Researcher

• Multi-agent decision-making under uncertainty
• Active perception
• Computer vision
• +5 more

Dr. Mikko Lauri is a Postdoctoral Researcher at the Department of Informatics, University of Hamburg, working in the Computer Vision Research Group. His research focuses on decision-making under uncertainty, active perception, and computer vision, with particular emphasis on multi-agent systems for cooperative tasks in robotics applications. His research interests include: Multi-agent decision-making under uncertainty Active perception and information gathering Computer vision for mobile robots Partially Observable Markov Decision Processes (POMDPs) Object pose estimation and visual object search Deep learning applications in robotics Lauri's recent work has focused on advancing theoretical frameworks for teams of agents to act cooperatively. His survey paper on POMDPs in robotics provides a comprehensive overview of decision-making under uncertainty in robotic systems. His research has practical applications in autonomous robots, including exploration, object pose estimation, and visual object search, with techniques that balance theoretical rigor with real-world implementation. Scientific contributions: Developed novel approaches for multi-agent active perception with prediction rewards Created methods for multi-sensor next-best-view planning using submodular optimization Advanced techniques for 6D object pose estimation using point clouds and deep learning Contributed to audio-visual signal processing for sound source separation Lauri collaborates extensively with researchers in the Computer Vision Research Group at the University of Hamburg and has worked with international collaborators from institutions including Aalto University (Finland) and the National University of Singapore. His work bridges theoretical foundations in decision-making under uncertainty with practical robotics applications.

Narayan SankaranView profile

Assistant Professor

• Auditory neuroscience
• Computational modeling
• Music perception
• +5 more

Narayan Sankaran, PhD, is an Assistant Professor in the Department of Neuroscience at the University of San Francisco, where he leads the Auditory Neuroscience & Perception Lab. His research combines neuroscientific investigation of auditory processing (focusing on music and speech perception through computational modeling and neurophysiological measurements) with neuroethical studies on emerging neurotechnologies. Education: PhD in Neuroscience, University of Sydney (2018) BA in Physics with Music minor, University of California, Berkeley Research Focus: Dr. Sankaran's interdisciplinary work spans auditory neuroscience and neuroethics. He employs intracranial and scalp-based electrophysiology, machine learning, and computational models to study how humans perceive complex sounds. His neuroethics research examines societal implications of brain-computer interfaces, particularly regarding user agency and ethical design frameworks. Awards & Honors: Civic Science Fellowship, Rita Allen Foundation (2024) Berkelhammer Postdoctoral Award, UCSF (2020) University of Sydney Postgraduate Research Award (2014) Professional Experience: Prior to joining USF, Dr. Sankaran completed postdoctoral fellowships at UCSF's Department of Neurological Surgery and UC Berkeley's Kavli Center for Ethics, Science, and the Public. He also served as Lecturer in Molecular and Cell Biology at UC Berkeley. Laboratory Leadership: Heads the Auditory Neuroscience & Perception Lab at USF, focusing on neural mechanisms of sound perception and ethical neurotechnology development.

• Computer Vision
• Natural Language Processing
• Sign Language Technologies
• +5 more

Gül Varol is a permanent researcher (equivalent to Associate Professor) at École des Ponts ParisTech, where she is part of the IMAGINE group within the Laboratoire d'Informatique Gaspard-Monge (LIGM). She holds additional affiliations as an ELLIS Scholar and a Guest Scientist at the Max Planck Institute (MPI). Her academic journey includes a postdoctoral position at the University of Oxford's Visual Geometry Group (VGG) under Andrew Zisserman, and a PhD from the WILLOW team at Inria Paris and École Normale Supérieure. Her educational background includes BS and MS degrees from Boğaziçi University, followed by doctoral studies at Inria Paris and École Normale Supérieure. During her PhD, she spent research periods at MPI, Adobe, and Google, gaining diverse industry and academic experience. Dr. Varol's research focuses on the intersection of computer vision and language processing, with particular expertise in video representation learning, human motion synthesis, and sign language technologies. Her work bridges theoretical advances with practical applications, especially in accessibility technologies like audio description for visually impaired audiences and sign language recognition systems. She has pioneered approaches for text-driven 3D human motion generation, sign language translation with contextual cues, and film-grammar-aware audio description generation. Her research often leverages large language models and vision-language models to solve complex multimodal problems without requiring extensive training data. Analysis of her recent publications reveals a clear trajectory toward more sophisticated multimodal systems that integrate temporal understanding, contextual awareness, and fine-grained control. Her work increasingly focuses on practical applications in accessibility, with significant contributions to sign language technologies and audio description systems. She has demonstrated leadership in developing large-scale datasets like BOBSL (BBC-Oxford British Sign Language Dataset) and advancing methods for zero-shot and training-free approaches that can be deployed without extensive fine-tuning. Her scientific achievements have been recognized with several prestigious awards: ELLIS 2020 PhD Award AFRIF 2019 PhD thesis award from the French association for pattern recognition Google Research Scholar award (2023) Best application paper award at ACCV'20 Dr. Varol has received significant research funding including an ANR JCJC project "CorVis" and research gifts from Google and Adobe. She actively mentors students and researchers, with prospective students encouraged to apply through her lab's application form. Her leadership in the academic community is evident through her service as Program Chair for ECCV'24, Senior Area Chair for CVPR 2025, and associate editor for the International Journal of Computer Vision (IJCV). She is a key member of the IMAGINE research group at École des Ponts ParisTech, which focuses on image analysis and computer vision. Her collaborative work extends to multiple institutions including MPI, Oxford, and various industry research labs. She has co-organized numerous workshops on specialized topics including sign language recognition, vision transformers, and foundation models for 3D humans, fostering community building in these emerging research areas.

• Educational Technology
• Digital Games
• Computer Graphics and Simulations
• +3 more

Veljko Aleksić is an Associate Professor at the Department of Information Technology, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 15 years of academic experience, he specializes in Educational Technology, focusing on the intersection of digital games, computer graphics, and teaching methodologies. His work bridges theoretical educational frameworks with practical technological applications, making significant contributions to both national and international educational technology communities. Awarded the "Dr Milivoje Urošević" foundation award as the best graduate student, Aleksić earned his Bachelor's degree in Teacher of Technics and Informatics from the Technical Faculty in Čačak with an average grade of 9.59. He continued his academic journey with a Master's degree from the University of Kragujevac (average grade: 10.00) and completed his Doctoral studies at the University of Novi Sad, Faculty of Sciences, with a dissertation titled "Relation between digital gameplay and multiple intelligences profile of higher grade elementary school students." Professor Aleksić's research spans multiple interconnected domains within educational technology. His primary focus lies in investigating how digital games can enhance learning experiences, particularly examining the relationship between gameplay preferences and multiple intelligences profiles of students. This work has led to significant contributions in understanding how different learning styles interact with digital educational tools. His expertise extends to computer graphics and simulations, where he explores innovative approaches to visual learning and virtual environments. Additionally, he has made substantial contributions to teaching methodology, particularly in technics and informatics education, developing frameworks that integrate modern technologies into traditional educational settings. His work on neuroscience connections demonstrates his interdisciplinary approach to understanding educational processes. A review of Professor Aleksić's recent publications reveals a clear trajectory toward increasingly sophisticated applications of technology in education. His work has evolved from foundational studies on digital game-based learning to more complex investigations involving artificial intelligence, virtual reality, and cross-cultural educational comparisons. Recent publications demonstrate a growing emphasis on practical applications of educational technology, with several studies focusing on implementing these technologies in real-world educational settings across Serbia and internationally. His comparative studies between Serbian and Greek educational contexts highlight his expanding international research collaborations and the global relevance of his work. The thematic progression shows increasing sophistication in research methodology and broader educational impact. While specific major scientific awards aren't prominently listed in his profile, Professor Aleksić's extensive involvement as a reviewer for the National Accreditation and Quality Review Body in Higher Education and his participation in numerous international conference program committees represent significant professional recognition. His leadership roles in various educational projects funded by the Ministry of Education, Science and Technological Development of Serbia further demonstrate the value placed on his expertise by national educational authorities. His membership in the IEEE Computer Society Technical Committee on Learning Technology underscores his standing in the international educational technology community. Professor Aleksić has supervised numerous educational initiatives and projects, including "Osnaživanje kompetencija studenata - master profesora tehnike i informatike za preduzetničko obrazovanje i podršku profesionalnom razvoju učenika (MPTIPoPr)" and "Digitalna transformacija predmeta obrazovna tehnologija (DTPOT)" funded by the Ministry of Education. He has served as head of study programs including IAS Tehnika i informatika and MAS Predmetna nastava at the Faculty of Technical Sciences in Čačak. His extensive work with the Institute for Education Quality and Evaluation, and the Institute for the Advancement of Education demonstrates his significant contribution to national educational standards development. His involvement in international projects like ALLVET shows his commitment to European educational cooperation. As an active member of the IEEE Computer Society Technical Committee on Learning Technology and participant in numerous international research collaborations, Professor Aleksić contributes to cutting-edge educational technology development. His work with the Computer Science Laboratory at the Faculty of Technical Sciences in Čačak has fostered an environment for innovative research in educational technology, particularly in the areas of digital games development and computer graphics applications for learning. His leadership in organizing the Technics and Informatics in Education (TIE) conference series has created important platforms for scholarly exchange in the region.

• Cognitive Neuroscience
• Multisensory Perception
• Neural Oscillations
• +3 more

Prof. Dr. Christoph Kayser is a Professor and Chair for Cognitive Neuroscience at the Faculty of Biology, University of Bielefeld, Germany. He also holds positions at the Center for Cognitive Interaction Technology (CITEC) as both a Participating Research Group member in Cognitive Neuroscience and as a Board member of CITEC. His research is situated at the intersection of cognitive neuroscience, multisensory integration, and neural mechanisms of perception. His primary research interests include multisensory perception and integration in the brain, perceptual decision making, neural oscillations and their role in cognition, auditory perception and the function of auditory cortex, and mathematical tools in neuroscience. His work bridges theoretical approaches with empirical neuroscience, focusing on how the brain integrates information from multiple sensory modalities to form coherent perceptions and guide behavior. Analysis of his recent publications reveals a consistent focus on multisensory integration mechanisms, particularly examining how visual, auditory, and other sensory inputs are combined in the brain. His research demonstrates increasing interest in respiratory-brain interactions, the role of neural oscillations in perceptual processes, and the development of computational models to explain multisensory phenomena. Notably, his work spans both fundamental research on neural mechanisms and applied research in areas like auditory rehabilitation following cochlear implantation. Fellow of the Royal Society of Biology, FRSB (2016) Attempto Prize of the University of Tübingen (2009) Otto Hahn Medal of the Max Planck Society (2007) PhD Fellowship Neuroscience Center Zurich (2001) Professor Kayser serves as a reviewing editor for 'The Journal of Neuroscience' since 2015. His academic career shows a trajectory from research positions at the Max Planck Institute and ETH Zurich to professorial roles at the University of Glasgow and currently at Bielefeld. His research is supported through the Center for Cognitive Interaction Technology (CITEC), one of the Central Academic Institutes at Bielefeld University, which promotes interdisciplinary research on cognitive systems. His laboratory work focuses on neural mechanisms of multisensory perception, utilizing approaches including EEG/MEG, behavioral experiments, and computational modeling. The research group is part of the Socio-Technical World strategic research area at Bielefeld University, which explores capabilities and mechanisms that enable agents such as humans, robots, and AI to operate, communicate, and learn in complex environments.

Catherine DominguèsView profile

Researcher

• Natural Language Processing
• Cartography
• Data Mining
• +3 more

Catherine Dominguès is a senior researcher at the French National Mapping Agency (IGN) specializing in Natural Language Processing for Cartography within the MEIG (Mediation and Enrichment of Geographic Information) research team. Her work bridges computational linguistics and geographic information science, focusing on the intersection of language analysis and spatial data representation. Education : Habilitation à diriger des recherches (HDR) in Natural Language Processing (2020), PhD in Computer Science (2001), DEA in Theoretical Foundations of Computer Systems (1989) Research Interests center on places and placenames , expressive variations in toponym spelling , location-based information retrieval , and sensitive cartography . Her methodology combines data mining , fuzzy spatial reasoning , and geovisualization techniques. Key publication trends show her work connects NLP for map analysis , mountain rescue support systems , and narrative-based mapping . She contributes to heterogeneous data integration and fuzzy logic applications in geographic contexts. Supervision : Co-supervised Dong Chuanming (PhD) and previously supervised Firas Bessadok (PhD) Projects : Core member of the CHOUCAS project (2017-2022) integrating heterogeneous data for mountain rescue, and involved in MATRICIEL (2016-2017) mapping migrant perceptions

Franco PellereyView profile

Professor

• Actuarial Sciences
• Dependence Notions and Orders
• Reliability Theory
• +6 more

Franco Pellerey is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. He serves as Coordinator of the College of Mathematical Engineering and is actively involved in teaching and research coordination activities. Co-organizer of the International School on Stochastic Comparisons (2004) Program Chair for the 14th International Conference on Ordered Statistical Data (2022) Scientific Coordinator for multiple national research projects (BRIC-2024, PRIN) Research Interests : Stochastic orders and their applications in risk theory Dependence notions and positive dependence concepts Reliability theory and actuarial sciences Stochastic processes in engineering contexts Applied statistics for technical systems Scientific Leadership : BRIC-2024 Acoustics Research (2025-2027) Supermodularity in Economic Theory (2002-2004) Continuous Financial Market Models (2001-2003) International Engagements : Full Professor at Turin Polytechnic University in Tashkent (2018-2021) Full Professor at ESCP Europe (2016-2018)

Raymond A. YehView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Deep Learning
• +3 more

Raymond A. Yeh is an Assistant Professor in the Department of Computer Science at Purdue University, where he has been since Fall 2022. His research focuses on machine learning and computer vision, particularly on developing algorithms for audio, vision, language, and multi-agent systems. Prior to Purdue, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC) from 2021-2022. Education : Ph.D. and M.S. in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign (UIUC), advised by Professors Alexander Schwing and Minh Do; B.S. in Electrical Engineering from UIUC. His research integrates multiple domains: Developing machine learning algorithms with focus on computer vision Working at the intersection of audio processing , language modeling , and multi-agent reinforcement learning Advancing 3D reconstruction , diffusion models , and equivariant networks Recent publications demonstrate his work in: 2025 : Oral presentation at ICML on model immunization; multiple ICCV publications on concepts like symmetry detection and long-tailed anomaly detection 2024 : NeurIPS work on codomain attention neural operators; ECCV publications on advanced vision techniques 2023 : NeurIPS paper on 3D generation using diffusion models Scientific recognition includes: Google Research Scholar (Machine Perception), 2025 Multiple UIUC awards including Bronze Tablet and Highest Honors Google PhD Fellowship and Mavis Future Faculty Fellowship As an educator, he has taught: Computer Vision with Deep Learning (Purdue Fall 2025, 2024) Introduction to Artificial Intelligence (Purdue Spring 2025, 2023, 2023) Foundations of Deep Learning (Purdue Spring 2024) Topics in Machine Perception (Purdue Fall 2022) Previously served as Teaching Assistant at UIUC for Pattern Recognition and Machine Learning