Assistant Professor @SCAI_ASU, Penn Stater, Intelligent decision making, reinforcement learning, and urban computing. He/him/his. Views are his own.

Tempe, AZ
Joined April 2019
No Wi-Fi? No screens? No problem! Take a look at how we are bringing AI+Education offline in rural Kenya
What does AI literacy look like offline? @ASU @Mastercard Foundation Scholar Martin Ndegwa’s Kenya project turned from AI lessons to reading clubs and AI-assisted storybooks that teach students to ask better questions, verify information and think critically. news.engineering.asu.edu/202…
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The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸 Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows Try: actava.ai/cura Share your use case: $20 credits + early access👇
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New paper alert (AAAI’26) For self-driving cars, trajectory prediction evaluation has long relied on metrics like ADE/FDE, which often say little about how errors actually affect downstream planning and driving behavior. Together with @Honda Research Institute, we take a step toward evaluation that reflects real-world impact, not just prediction accuracy. Paper:arxiv.org/pdf/2512.12211 Code:github.com/honda-research-in… Please stop by our poster and talk to @manishsaroya if you are traveling to Singapore 🇸🇬
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🚀 We are hiring Research Interns ! We are looking for Master's and PhD students (final year) with a strong background in AI / ML / NLP who want to work on cutting-edge AI systems alongside Mistral AI researchers. 📍 Location: Paris, London, or Palo Alto ⏳ Duration: 4-6 months 🎓 For Master's students: opportunity to continue with a PhD at Mistral after the internship (via the CIFRE program). Links below:
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🌍 If you mix languages in your query, you are likely using a degraded AI agent ⚠️Because tool execution quietly assumes English ⚙️🇺🇸. Our recent analysis shows that multilingual degradation in tool-calling agents largely comes from language-invariant execution assumptions. We introduce a diagnostic benchmark (including Chinese 🇨🇳, Hindi 🇮🇳, and Igbo 🇳🇬), and show why inference-time “fixes” only go so far. TL;DR: If AI agents are deployed globally 🌐, execution conventions must be designed globally too. Paper: arxiv.org/pdf/2601.05366 #AgenticAI #LLMs #MultilingualAI #LLMAgents #ToolCalling #NLP #AISystems
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🚀 Our open-sourced Instructional Agents - an AI-powered instructor assistant - has been accepted to the #EACL2026 Main Conference! After talking with many educators, we kept hearing the same question:👉 Can AI help instructors keep courses current, pedagogically coherent, and low-effort? Turns out: yes. With Instructional Agents, building a new course can cost < $1, while supporting end-to-end course creation (including syllabus, slides, talking notes, assessments, etc.) without sacrificing instructional quality. Project: hyan-yao.github.io/instructi… Paper: arxiv.org/abs/2508.19611 gde: hg 🔑 Key Features of Instructional Agents: 🤖 Collabotated Role-Based Multi-Agents Instead of a single model, we simulate a full instructional team. Specialized agents take on the roles of Teaching Faculty, Instructional Designer, Course Coordinator, Program Chair, and Teaching Assistant, enabling a clear division of labor. 🧠 Grounded in Instructional Framework The entire workflow is grounded in the ADDIE instructional design framework (Analyze, Design, Develop), ensuring alignment across learning objectives, syllabi, and assessments. 💬 Human in Control Automation does not mean losing control. The system supports four modes: Autonomous, Catalog-Guided, Feedback-Guided, and Full Co-Pilot, so instructors can choose the level of oversight they want. 📄 Full package Generation From a topic prompt to classroom-ready assets: comprehensive syllabi, LaTeX-based slides, scripts, and rigorous assessments- all in one unified pipeline.
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Heat wave survival tip: Walk like a local, route like an AI. 🌞➡️🌳 Proud of my amazing students like @LongchaoDa and collaborators @prof_yz @ArianeMiddel for making this happen
🌳 Shade can lower surface temps by 20°F — sometimes enough to protect health. At @ASU, Hua Wei’s AI tools map and predict shade, helping people find cooler routes and guiding cities to design greener spaces. #ASUEngineering @realhuawei news.asu.edu/20250925-scienc…
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🌳 Shade can lower surface temps by 20°F — sometimes enough to protect health. At @ASU, Hua Wei’s AI tools map and predict shade, helping people find cooler routes and guiding cities to design greener spaces. #ASUEngineering @realhuawei news.asu.edu/20250925-scienc…
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For everyone who ever asked me "how big is your dept faculty?"--well just this big👇.. @SCAI_ASU
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🚨 Big news! Our paper "Fully Heteroscedastic Count Regression with Deep Double Poisson Networks (DDPN)" was just accepted to #ICML2025! 🥳🎉 Let me tell you why we're excited — especially if you care about trustworthy AI and count data. 👇🧵
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Honored to receive the NSF CAREER Award for my project on Sim-to-real Transfer for Decision Making! A HUGE thanks to my students, collaborators, mentors, panelists, and @SCAI_ASU for their support!
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🎉HUGE congrats to Longchao Da, a doctoral student working under the supervision of @realhuawei, who received the 🏆SDM 2025 Doctoral Forum Best Poster Award at the @TheSIAMNews International Conference on Data Mining held last week in Alexandria.
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Looking forward to meeting old/new friends there!
We are excited to have our next UNC NLP/ML Colloquium by Dr. Hua Wei from @SCAI_ASU @ASU talking about "Paradoxes in Transformer Language Models: Masking, Positional Encodings, and Routing"! (Friday, March 07, 3:15-4:15 PM EST, FB 141)
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A team led by @PauloShakAS, an associate professor in @SCAI_ASU, has received a $1.7 million research grant from @AZRegents to develop software powered by #AI that will assist emergency responders in predicting and managing disaster scenarios. fullcircle.asu.edu/research/…
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I saw a slide circulating on social media last night while working on a deadline. I didn’t comment immediately because I wanted to understand the full context before speaking. After learning more, I feel compelled to address what I witnessed during an invited talk at NeurIPS 2024 by Professor Rosalind Picard. I deeply respect Professor Picard’s scholarship and contributions to the field. However, her comments during the talk reflected a deeply troubling and racist view of Chinese scholars. This was not just inappropriate but also profoundly disheartening. First, it was entirely unnecessary to mention the student’s nationality when discussing an incident of cheating. The point about academic integrity could have been made without emphasizing nationality. Yet, Professor Picard chose to highlight it. This choice perpetuates harmful stereotypes about Chinese scholars and reflects a broader bias against Asians, often rooted in the assumption that we “work hard, avoid conflict, and don’t push back.” This needs to change. Asians, like everyone else, have the right to speak out and demand accountability when racism occurs. We will ensure that being racist against Asians has consequences, including here, Professor Picard. What made this incident worse was how it unfolded during the Q&A session. A Chinese attendee asked a professional and thoughtfully articulated question. She began by thanking Professor Picard for her talk and posed this question: Are you calling out the student’s nationality because you find most Chinese scholars honest, and the fact that the cheating student was Chinese is rare? Is that why you emphasized nationality? This was a generous and high-EQ question, offering Professor Picard an opportunity to reconsider or clarify her comments. Unfortunately, she doubled down instead. Professor Picard reinforced her remarks by quoting the student’s excuse —that ethics wasn’t taught in their school—and generalized this as a broader issue with Chinese education. This statement is both factually incorrect and deeply offensive. There are glaring logical flaws in this argument: 1.If the student cheated, why would their excuse about ethics education be taken at face value? A serious scholar would investigate the claim before making it a central part of their argument. 2.Even if the student’s school didn’t teach ethics (which is false for schools in China), other sources like family and community often instill strong ethical values. Ignoring this nuance is careless and reinforces stereotypes. What is most heartbreaking is that Professor Picard couldn’t even acknowledge something as simple as: “Most Chinese scholars are honest and upright.” Instead, she focused on the singular exception and added, “Of course, with this one exception in this case” in her response. I regret that this happened at NeurIPS. I regret that this happened in my research community—a place I have cherished and contributed to for over 14 years. I regret that this happened at MIT, an institution of excellence and aspiration for many Chinese scholars. Racism has no place in academia, and incidents like this tarnish the principles of inclusion and respect that we, as a global research community, should uphold. I hope NeurIPS and the broader academic community take this as a wake-up call to address the biases and systemic issues that enable such comments to go unchallenged. We must do better. @MIT_CSAIL @NeurIPSConf
It is just so sad that the #NeurIPS2024 main conference ended with such a racist remark by a faculty when talking about ethics. How ironic! I also want to commend the Chinese student who spoke up right on spot. She was respectful, decent, and courageous. Her response was exemplary: she began by acknowledging the speaker’s efforts, then gave the speaker an opportunity to clarify (though, regrettably, the speaker’s reply only reinforced her bias), and ultimately called attention to the inappropriate racial bias and offered constructive suggestions. Thank you for speaking out!
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Come and join us!
We are hiring for 3 open tenure and tenure-track faculty positions! #SCAI **Open Professor (all ranks) positions include** ✔️Data Systems ✔️ Programming Languages, Compilers and OS for Emerging Architectures ✔️ Security of Networked Intelligent Systems linkedin.com/posts/school-of…
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𝑺𝑪𝑨𝑰 𝒉𝒂𝒄𝒌𝒔 𝑯𝒂𝒓𝒗𝒂𝒓𝒅! A #SCAI student team has won 🏆 first place🥇 in the Sustainability Track at HackHarvard 2024, hosted by Harvard University Oct. 11–13 on their campus. At the 36-hour hackathon, more than 1,000 students from 284 universities and 22 countries competed to create technology projects that best exemplified the event’s theme of “Unlocking Impact with Technology.” A team of SCAI students including Shreyas Bachiraju, Dhruv B., Kanav Gupta and Arjun Kasturi, developed 💡 U-Plan, a platform that uses satellite imagery and AI to analyze urban 🔥 heat islands. Their solution provides powerful insights and sustainable strategies for new construction and retrofitting to reduce heat retention and energy costs. The team was led by SCAI Assistant Professor @realhuawei. 🎉 Congrats to the HackHarvard team on their success! And thanks to Harvard and their amazing students for hosting the event. hackharvard.io/
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