جستجوی استاد راهنمای دانشگاهی

Ioannis Athanasiadisمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Agricultural Modeling
• +۷ مورد دیگر

Ioannis Athanasiadis is a Full Professor and Chair of Artificial Intelligence at Wageningen University & Research (The Netherlands). He leads the Artificial Intelligence (AIN) group, focusing on advancing AI methods for global challenges in agriculture, ecology, and sustainability. Previously, he was faculty at the Dalle Molle Institute for Artificial Intelligence (IDSIA, Switzerland) and the Democritus University of Thrace (Greece). He holds a PhD (2005, cum laude) in Electrical and Computer Engineering from Aristotle University of Thessaloniki. His research integrates machine learning, knowledge engineering, and environmental modeling to address food security, climate adaptation, and ecosystem services. He leads initiatives like AgML (AgMIP's machine learning benchmarking effort) and coordinates European grants such as LTER-LIFE and CYBELE . Prof. Athanasiadis has supervised over 40 PhD/postdoc researchers and serves as Editor of Environmental Modelling and Software . He collaborates internationally on projects involving AI for crop modeling, digital twins, and sustainable agriculture. His team develops frameworks like Crop2ML and PyCrop2ML to enhance interoperability between process-based models and machine learning systems.

Xuemin (Sherman) Shenمشاهده پروفایل

استاد

• Wireless communications and networking
• Resource allocation and mobility management
• Wireless network security and privacy preservation
• +۶ مورد دیگر

Xuemin (Sherman) Shen is a University Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Royal Society of Canada, the Canadian Academy of Engineering, and the Engineering Institute of Canada. Professor Shen serves as Editor-in-Chief of multiple prestigious journals including the IEEE Internet of Things Journal and Springer Peer-to-Peer Networking and Applications. Dr. Shen received his Doctorate in Electrical Engineering from Rutgers University in 1990, following a Master of Applied Science from the same institution in 1987. His undergraduate degree is a Bachelor of Applied Science in Electrical Engineering from Dalian Marine University, China (1982). Professor Shen's research spans wireless communications and networking, with particular expertise in resource allocation, mobility management, wireless network security, and privacy preservation. His work extends to IoT applications, connected and automated vehicles, network digital twins, and satellite-terrestrial networks. His research has been applied to vehicular networks, wireless body area networks, remote e-healthcare systems, and smart grid technologies, demonstrating both theoretical depth and practical impact across multiple domains. His recent publications reveal strong trends in AI-assisted networking, security and privacy preservation for IoT applications, and energy management in vehicular and smart grid systems. The research shows an increasing focus on integrating AI techniques with traditional networking approaches, addressing critical challenges in security, privacy, and resource management for next-generation wireless systems. R.A. Fessenden Award (2019) from IEEE Canada James Evans Avant Garde Award (2018) from the IEEE Vehicular Technology Society Joseph LoCicero Award (2015) from the IEEE Communications Society Education Award (2017) from the IEEE Communications Society West Lake Friendship Award from Zhejiang Province (2023) President's Excellence in Research from University of Waterloo (2022) Canadian Award for Telecommunications Research (2021) Professor Shen has mentored over 100 graduate students and postdoctoral fellows throughout his career, with many now holding prominent academic positions at top universities worldwide. His supervision has been recognized with multiple awards including the Award of Excellence in Graduate Supervision (2006) from the University of Waterloo. He has served in numerous leadership roles including Past President of the IEEE Communications Society and has chaired major international conferences including IEEE Globecom 2024.

Stratis Ioannidisمشاهده پروفایل

استاد

• Distributed systems
• Networking
• Machine learning
• +۳ مورد دیگر

Stratis Ioannidis is a Professor in the Electrical and Computer Engineering Department at Northeastern University, with a courtesy appointment in the Khoury College of Computer Sciences. His research focuses on distributed systems, networking, machine learning, big data, and privacy. He earned his B.Sc. from the National Technical University of Athens, and M.Sc. and Ph.D. from the University of Toronto. Prior to Northeastern, he worked at Technicolor and Yahoo Labs. Education: B.Sc. in Electrical and Computer Engineering (2002, National Technical University of Athens); M.Sc. and Ph.D. in Computer Science (2004, 2009, University of Toronto). Research interests span machine learning, distributed systems, optimization, and privacy. Key projects include the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), and work on federated learning, continual learning, and privacy-preserving algorithms. His research has been supported by NSF, Google, and Facebook grants. Recent publications emphasize federated learning, continual learning, and edge computing. Awards include the NSF CAREER Award, Søren Buus Outstanding Research Award, and multiple best paper awards. He advises numerous PhD students and collaborates across disciplines, including healthcare and wireless networks. Lab activities include SPIRAL and WIoT labs, focusing on machine learning at the edge and network optimization. Grants include the NSF AI Institute and multiple collaborative projects with industry and academia.

• Russian Literature
• Historical Studies
• Prison Narratives
• +۴ مورد دیگر

Dr. Sarah Young is an Associate Professor at the School of Slavonic and East European Studies (SSEES), University College London. Her academic journey includes a BA (Honours) in Russian and French from Trinity College, Cambridge, followed by an MA in European Languages and Culture at the University of Manchester and a PhD in Russian Literature from the University of Nottingham. Her research focuses on Russian literature, particularly Dostoevsky’s narrative structures, prison narratives, and the history of penal systems in Russia. She has held a Leverhulme Fellowship and previously taught at the University of Leeds and the University of Toronto. Her work explores themes like Siberian exile, political imprisonment, and revolutionary memoirs, as seen in her book Writing Resistance: Revolutionary Memoirs of Shlissel’burg Prison, 1884-1906 . She also investigates Gulag literature, societal impacts of quantum technologies, and inclusive STEM education for neurodivergent students. Her blogs ( www.sarahjyoung.com ) and websites ( Mapping Petersburg , Shlisselburg ) further her interdisciplinary research. Her scholarly contributions span literary criticism, historical analysis, and policy studies. Awards include the Leverhulme Special Research Fellowship (2001-2003). She actively engages in academic mentoring and has published on research practices across disciplines like environmental engineering and marine conservation.

David Basinمشاهده پروفایل

استاد

• Information Security
• Formal Methods
• Cryptography
• +۳ مورد دیگر

David Basin is a Full Professor at the Department of Computer Science, ETH Zurich, and heads the Information Security Group. He has held academic positions since 2003, including roles at the University of Freiburg (1997–2002) and the Max-Planck-Institut für Informatik (1992–1997). His research focuses on Information Security, including methods and tools for secure systems, formal verification, and cryptographic protocols. He is Editor-in-Chief of the ACM Transactions on Privacy and Security and Springer's Information Security and Cryptography book series. Basin founded the Zurich Information Security Center (ZISC) in 2003 and led it until 2011. Education: B.Sc. in Mathematics (Reed College, 1984), Ph.D. (Cornell University, 1989), and Habilitation (University of Saarbrücken, 1996). Research interests span formal methods for security protocol verification, privacy-preserving systems, and cryptographic implementations. He has contributed to foundational work on security protocols, including the Tamarin verification framework. His work addresses real-world systems like payment protocols (EMV), DNS security, and database isolation guarantees. Awards: ACM Fellow (2018) for contributions to Information Security and Formal Methods, IEEE Fellow. He has organized numerous conferences, including IEEE S&P, Euro S&P, and ACM CCS. Labs/Teams: Leads the Information Security Group at ETH Zurich and co-founded Anapaya Systems, a startup focused on network security solutions. His team develops tools like VeriMon (formally verified monitoring) and Tamarin for protocol analysis.

Michael Milfordمشاهده پروفایل

استاد

• Robotics
• Neuroscience
• Computer Vision
• +۳ مورد دیگر

Professor Michael Milford is a robotics and computer vision expert at Queensland University of Technology (QUT), serving as Joint Director of QUT's Centre for Robotics. His research bridges robotics, neuroscience, and computer vision, focusing on biologically inspired navigation systems for autonomous vehicles and drones. He has pioneered projects like SeqSLAM and RatSLAM, emphasizing the synergy between biological intelligence and robotic systems. Research Interests: Milford explores navigation algorithms inspired by animal behavior, energy-efficient neural networks, and autonomous systems. His work aims to create robots capable of operating in dynamic environments through interdisciplinary collaboration with institutions like MIT, Harvard, and NASA's Jet Propulsion Laboratory. Awards & Recognition: Awarded the 2019 Batterham Medal and a $2.7M Australian Laureate Fellowship for his project on GPS-independent positioning systems. His work has produced highly cited papers in robotics and computer vision, including breakthroughs in visual SLAM and place recognition under varying conditions. Teaching & Collaboration: Milford mentors students in robotics and AI, launching initiatives like the STEM Storybook to inspire youth. He collaborates globally, emphasizing cross-disciplinary research to bridge gaps between fundamental and applied sciences. Labs & Projects: Leads QUT's Centre for Robotics, advancing technologies for autonomous systems. His projects explore neuromorphic computing, SLAM systems, and bio-inspired navigation, with applications in defense, transport, and environmental monitoring.

Mingsheng Yingمشاهده پروفایل

استاد

• Quantum Computation
• Quantum Programming
• Model-checking Quantum Systems
• +۵ مورد دیگر

Mingsheng Ying is a Distinguished Professor and Research Director of the Centre for Quantum Computation and Intelligent Systems (QCIS) at the Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. He also holds the position of Cheung Kong Professor at the State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China. Professor Ying graduated from the Department of Mathematics, Fuzhou Teachers College, Jiangxi, China, in 1981. His primary research interests span quantum computation (particularly quantum programming and model-checking quantum systems), programming theory and formal methods, and the foundations of artificial intelligence (focusing on logic and uncertainty). As an author of the books "Foundations of Quantum Programming" (Elsevier - Morgan Kaufmann 2016) and "Topology in Process Calculus: Approximate Correctness and Infinite Evolution of Concurrent Programs" (Springer-Verlag, 2001), he has published over 100 papers in top international journals and conferences. His recent research publications demonstrate a strong focus on quantum programming languages, verification techniques for quantum systems, and the theoretical foundations of quantum computation. The trend in his work shows increasing emphasis on formal verification methods for quantum systems, particularly model-checking techniques for quantum Markov chains and quantum processes. His research bridges theoretical computer science with quantum information theory, creating frameworks for reliable quantum software development. Editorial Board, Artificial Intelligence, Elsevier, Amsterdam Editorial Board, Fuzzy Sets and Systems, Elsevier, Amsterdam Vice President, International Fuzzy Systems Association (elected in 2005) Program Chair, IFSA 2005, World Congress of International Fuzzy Systems Association Chairman, Chinese Association of Fuzzy Systems and Mathematics Professor Ying has secured significant research funding including multiple Australian Research Council Discovery Projects such as "Model-checking quantum Markov chains: towards verification techniques for quantum cryptographic systems" (2013-2015) and "Process algebra approach to distributed quantum computation and secure quantum communication" (2011-2013). His work has also received funding from the National Natural Science Foundation of China and Tsinghua University. At QCIS, he leads research in quantum software theory and methodology, with applications in quantum cryptography and secure communication.

Saad Khanمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Dr. Saad Khan is a Senior Lecturer in Cyber Security at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield, United Kingdom. He is an active researcher and educator, supervising multiple PhD students and contributing to government-funded cybersecurity projects with Innovate UK, DCMS, and DASA. He is also a Fellow of the Higher Education Academy and serves on program committees for major conferences. His research focuses on intelligent systems for cyber security and digital forensics. Key areas include Security Information and Event Management (SIEM), access control, authentication, vulnerability assessment, anomaly detection, and image forensics. He aims to develop automated software tools that enhance digital infrastructure resilience against modern cyber threats. The recent publications reflect a strong trend in applying machine learning and AI to cybersecurity challenges, particularly in IoT security, zero-day attack detection, and human-centric security awareness. His work bridges technical innovation with practical implementation in real-world environments. Scientific Awards: Fellow of the Higher Education Academy Dr. Khan actively supervises PhD students and contributes to research grants through collaborations with UK government agencies. He has led work in three major funded projects and regularly reviews for top-tier journals and conferences. He is a member of the Centre for Cybersecurity at the University of Huddersfield, where he collaborates on interdisciplinary research initiatives focused on secure digital transformation and intelligent defense systems.

Adrian Linacreمشاهده پروفایل

استاد

• Forensic Science
• Forensic DNA Analysis
• Wildlife Forensic Science
• +۱۲ مورد دیگر

Adrian Linacre is a Professor and Chair in Forensic DNA Technology at Flinders University, within the College of Science and Engineering, Department of Biological Sciences. He is a leading figure in forensic science, with a focus on DNA analysis, wildlife forensics, and crime scene investigation. BSc in Biological Sciences (Hons), University of Edinburgh, 1984 DPhil in Molecular Genetics, University of Sussex, 1988 His research centers on getting more from less at crime scenes , particularly through developing highly sensitive DNA typing methods and studying the transfer and persistence of biological materials. He also pioneers the use of non-human DNA in forensic investigations, notably in wildlife forensic science , aiding in species identification and combating illegal wildlife trade. His recent publications reflect a strong trend in trace DNA analysis , body fluid identification , and DNA transfer dynamics , with applications in drug cases, sexual assault investigations, and environmental DNA degradation. His work increasingly integrates molecular techniques with real-world forensic challenges. Notable scientific awards include: Medal of the Order of Australia (OAM), 2020 Inspirational Scientist of the Year, Royal Society of Edinburgh, 2005 Fellow of the Royal Society for the Encouragement of Arts and Commerce (FRSA) Finalist, South Australian Science Excellence and Innovation Awards (2023, 2024) He has successfully supervised several students, including Piyamas Kanokwongnuwut and Alicia Haines, many of whom have won international recognition. He has secured significant research funding and contributed to national and international forensic policy, including a key review for the UK Home Office on low-template DNA. His professional leadership includes presidencies of the ANZFSS and ISFG, and vice presidency of the IAFS. Linacre is actively involved in editorial roles, serving as Associate Editor for Forensic Science International: Genetics and on the boards of Forensic Science, Medicine and Pathology and the Australian Journal of Forensic Science . He is a sought-after expert witness and media commentator in forensic science.

• Software Engineering
• Deep Learning
• Human-Computer Interaction
• +۷ مورد دیگر

Prof. Dr. Chunyang Chen is a full professor in the Department of Computer Science at the Technical University of Munich (TUM) in Heilbronn, Germany, and an adjunct professor at Monash University, Australia. He is a core member of the Munich Data Science Institute, board member of Heilbronn Data Science Center, and fellow at Fortiss. His research spans Software Engineering, Deep Learning, and Human-Computer Interaction (HCI), focusing on AI/ML, NLP, and program analysis applications. PhD from Nanyang Technological University (NTU), Singapore His research explores three primary domains: AI-Driven Mobile App Development : Focused on requirement elicitation, UI design, code generation, and GUI testing using LLMs, NLP, and lightweight program analysis. Software Repository Mining : Involves library/API migration, collaborative editing, query reformulation, and thesaurus construction. Deep Learning Security : Examines robustness and security in mobile apps, including on-device model attacks, backdoor attacks, phishing attacks, and defense mechanisms. His recent publications highlight trends in LLM applications for software testing, bug replay, accessibility, and dataset construction. Awards include Best Paper Honorable Mention at CHI 2024, DECRA, ACM SIGSOFT Early Career Award, multiple Distinguished Paper Awards, and the Chinese Government Award for Outstanding Self-financed Students Abroad. PhD students: Shengcheng Yu, Yanqi Su, Mark Huasong Meng, Wenchao Gu, Zhen Tao, Kai Huang, Sidong Feng, Yujin Huang, Jian Gu Master/Bachelor students: Dustin Minh Duc Vu, Jason Siu, Ruiqi Dong, Minh Nguyen, An-Chieh Chang, Chao Wu, Yujin Huang, Ishan Joshi, Xinyan Li Chunyang Chen has supervised numerous students across institutions including TUM, Monash University, Chinese Academy of Sciences, ANU, and others. His teaching portfolio includes courses on Generative AI, software engineering, and programming foundations. He actively contributes to academic service as a guest editor, program committee member, and reviewer for top-tier conferences and journals.

• Artificial Intelligence
• Digital Economy
• E-Commerce
• +۷ مورد دیگر

Kartik Hosanagar is the John C. Hower Professor of Technology and Digital Business and a Professor of Marketing at The Wharton School, University of Pennsylvania. He is also the Co-Director of the Wharton Human-AI Initiative. His work spans the Department of Operations, Information and Decisions, focusing on the intersection of technology, business, and society. Education: PhD in Management Science and Information Systems, Carnegie Mellon University MPhil in Management Science, Carnegie Mellon University Masters in Information Systems, Birla Institute of Technology and Sciences (BITS, Pilani), India Bachelors in Electronics Engineering, Birla Institute of Technology and Sciences (BITS, Pilani), India Research Interests: Kartik’s research focuses on the digital economy, particularly the impact of AI, algorithms, and analytics on consumers, businesses, and society. His work explores internet marketing, e-commerce, digital media, information diffusion, platform economics, and the ethical implications of AI. He investigates how technology transforms business models and consumer behavior in online environments. Publication Trends: His recent research combines machine learning, causal inference, and behavioral modeling to study digital platforms, user behavior, and AI applications in marketing and operations. The articles reflect a strong focus on empirical analysis of social media, search engines, and platform design, with applications in advertising, content sharing, and product adoption. Scientific Awards: Best Information Systems paper published in Management Science, 2013-2016 Finalist for Best Information Systems paper in Management Science (2012-2015) Recognized as one of the world’s top 40 business professors under 40 Eleven-time recipient of teaching excellence awards at Wharton MBA Excellence in Teaching Award, 2007 “Goes above and beyond the call of duty” award (multiple years) Advising and Grants: While no formal PhD students are listed, Kartik has supervised independent studies and mentored numerous students through research projects. His entrepreneurial ventures, such as Yodle and Jumpcut Media, reflect real-world applications of his research. He has also secured significant industry engagement through consulting and executive education with major firms like Google, American Express, and Citi. His work is supported by academic recognition, editorial roles, and media outreach. Labs and Teams: Kartik co-directs the Wharton Human-AI Initiative, a research hub exploring the integration of human and artificial intelligence in business. He also leads research groups focused on digital platforms and AI ethics, collaborating with scholars across disciplines to advance understanding of algorithmic decision-making and its societal impact.

Peihan Miaoمشاهده پروفایل

استادیار

• Cryptography
• Secure Multi-Party Computation
• Theoretical Computer Science
• +۲ مورد دیگر

Peihan Miao is an Assistant Professor in the Department of Computer Science at Brown University, where she is a member of the Theory Group. Her academic journey began with a BS from the ACM Honors Class at Shanghai Jiao Tong University, followed by a PhD from UC Berkeley in 2019 under the supervision of Sanjam Garg. BS: ACM Honors Class at Shanghai Jiao Tong University PhD: University of California, Berkeley (2019) Dr. Miao's research focuses on cryptography and security, with particular emphasis on bridging the gap between theoretical cryptography and practical applications, especially in the realm of secure multi-party computation. Her work spans both foundational theoretical aspects and applied systems, demonstrating a strong commitment to developing cryptographic techniques that can be implemented in real-world scenarios. She has made significant contributions to private set intersection protocols, secure computation frameworks, and cryptographic primitives that enable privacy-preserving data analysis across various domains including genomics and machine learning. Her publication record reveals a consistent focus on advancing secure computation techniques, with recent work exploring structure-aware private set intersection, updatable cryptographic protocols, and applications of cryptography to emerging domains like federated genomics. Her research demonstrates a progression from theoretical foundations toward practical implementations that address real-world privacy challenges. NSF CAREER Award Meta Research Award Google Research Scholar Award Amazon Research Award Dr. Miao actively mentors PhD students including Xinyi Shi, Phuoc Van Long Pham, and Jifeng Wang, as well as postdoc Gayathri Garimella. She serves on program committees for major cryptography conferences including Crypto, TCC, and Asiacrypt. Her teaching portfolio includes courses on applied cryptography, introduction to cryptography and computer security, and special topics in secure computation, demonstrating her commitment to educating the next generation of cryptographers. She also runs a crypto reading group at Brown University for students interested in cryptography research. As part of Brown's Theory Group, Dr. Miao collaborates with colleagues on advancing the theoretical foundations of computer science while maintaining a strong focus on practical applications of cryptographic techniques.

Pratyush Mishraمشاهده پروفایل

استادیار

• Cryptography
• Computer Security
• zkSNARKs
• +۳ مورد دیگر

Pratyush Mishra is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science, where he is a member of the Security and Privacy Laboratory. His academic career bridges theoretical cryptography with practical implementations in secure computation systems. University of Pennsylvania (Current) UC Berkeley (Alma Mater) Dr. Mishra's research focuses on cryptography and computer security, particularly zkSNARKs, secure computation, and cryptographic proof systems. His work enables efficient privacy-preserving systems through innovations in zero-knowledge proofs and verifiable computation. He is a co-author and co-maintainer of the arkworks ecosystem, which provides foundational libraries for zkSNARK implementations used across industry and academia. His recent publications demonstrate significant contributions to proof accumulation, delegation-friendly zkSNARKs, and scalable zero-knowledge systems. These works appear consistently in top-tier security and cryptography venues including CRYPTO, IEEE S&P, and USENIX Security. ACM SIGSAC Doctoral Dissertation Award Runner-Up (2022) Dr. Mishra serves on prestigious program committees including IEEE S&P (2023-2026), CRYPTO (2023, 2025), and FC (2025). He currently advises five PhD students and teaches advanced cryptography courses covering both theoretical foundations and practical implementations of cryptographic systems. His research has practical impact through his role as founding scientist at Aleo, a startup based on his Zexe research project.

Mario Rebosuraمشاهده پروفایل

پژوهشگر ارشد

• Integrated Urban Water Management
• Anaerobic Technologies
• Resource Recovery
• +۳ مورد دیگر

Dr. Mario Rebosura serves as a Postdoctoral Research Fellow at the Australian Centre for Water and Environmental Biotechnology (ACE), part of the Faculty of Engineering, Architecture and Information Technology at the University of Queensland. His work bridges fundamental research and practical engineering solutions for sustainable urban water systems. His academic credentials include: Bachelor of Science in Chemical Engineering (2009) from the University of the Philippines Los Banos Masters of Engineering in Environmental Engineering (2012) from the Catholic University of Korea PhD in Chemical Engineering (2020) from the University of Queensland Rebosura specializes in integrated urban water management with emphasis on anaerobic technologies and resource recovery. His research investigates iron salt applications throughout urban water cycles, contaminant fate analysis, and advanced wastewater treatment processes. He combines chemical engineering principles with environmental science to develop circular economy solutions that transform waste streams into valuable resources while improving infrastructure resilience. His publication record reveals consistent focus on optimizing iron-based interventions across the urban water system—from sewer networks to treatment plants—with recent expansion into micropollutant management and enhanced anaerobic digestion. This trajectory demonstrates increasing sophistication in addressing complex water-energy-resource nexus challenges through interdisciplinary experimentation. Rebosura actively contributes to scholarly discourse as Editor for the International Research Journal on Innovations in Engineering, Science and Technology and as a reviewer for leading water research journals. His conference presentations have generated international recognition through speaking invitations and workshop leadership. He has secured significant research funding including: Australian Research Council project 'An integrated approach to iron salt use in urban water systems' (2014–2019) Meat & Livestock Australia initiative 'Wastes to Profits: Advanced Anaerobic Digestion' (2018–2022) As a core member of ACE, Rebosura leverages world-class facilities for laboratory and pilot-scale water research, collaborating within multidisciplinary teams to advance sustainable water management solutions for global challenges.

Pengtao Xieمشاهده پروفایل

دانشیار

• Machine Learning
• Natural Language Processing
• Machine Learning for Healthcare
• +۴ مورد دیگر

Pengtao Xie is an Associate Professor (tenured) in the Department of Electrical and Computer Engineering at UC San Diego, with cross-appointments in the Division of Biomedical Informatics and affiliations across multiple schools and institutes including the Halıcıoğlu Data Science Institute, School of Biological Sciences, and Skaggs School of Pharmacy. His research bridges human-inspired machine learning and healthcare applications. Education: PhD in Machine Learning, Carnegie Mellon University (2018) MS from Tsinghua University BS from Sichuan University Research Interests: His work focuses on machine learning inspired by human learning strategies , including learning by testing, interleaving, self-explanation, and teaching. These techniques are applied to large language models , foundation models , healthcare , and biomedicine . Recent efforts emphasize generative AI for medical image segmentation and protein function prediction. Scientific Awards: NIH MIRA Award (2025) NSF Career Award (2024) Best Graduate Teacher Award, ECE UCSD (2023) ICLR Notable-Top-5% Paper (2023) Global Top-100 Chinese Young Scholars in AI (2022) Tencent Faculty Award (2021) AMIA Doctoral Dissertation Award Finalist (2020) Siebel Scholarship (2014) Teaching & Mentorship: He has developed and taught courses such as Deep Generative Models , Probabilistic Graphical Models , and Linear Algebra and Applications . He actively mentors PhD, master's, and undergraduate students, with alumni now at CMU, Stanford, Mila, and industry roles. Labs & Teams: He leads a research group within the Center for Machine-Intelligence, Computing and Security and collaborates with the Institute for Genomic Medicine and Institute of Engineering in Medicine at UC San Diego.