OASIS Other SMU Events

SMU President's Table with Alumni

Office of Alumni Relations RSVP: By Invitation only. Type: Social & Networking. Subject: Ageing & Healthcare Management. Audience: Alumni. Tuesday, July 21, 2026, 12:00 PM – 2:00 PM. Dining Room, level 14.

Responsible AI and Reasonable Trust (Singapore Data Festival 2026)

Centre for Digital Law Every major technology shift—from the internet to mobile to cloud then AI—has demanded a recalibration of how trust can be safeguarded. Today, as AI evolves from a tool we direct into an agent that acts on our behalf, we face the same question again: what does reasonable trust look like when the technology keeps advancing? This session reframes trust not as a binary (trust or no trust) but as a reasonableness standard—one that must adapt as technology evolves. Contact: cdl@smu.edu.sg. RSVP: Please write in to cdl@smu.edu.sg to be registered. Type: Seminars & Workshops. Subject: Law. Information Technology & Systems. Audience: Public. SMU Faculty & Staff. Professionals. Incoming PG Students. Alumni. Tuesday, July 21, 2026, 1:30 PM – 3:00 PM. SMU Yong Pung How School of Law.

From Behaviour to Explanation: Actual Causality in Process Algebra

School of Computing and Information Systems Formal verification can tell us whether a system satisfies a property, but often not why this property holds. In this talk, I will discuss ongoing work on integrating actual causality into process algebra and concurrent-system semantics. We introduce the Causal Transition Calculus (CTC), a framework combining process algebra, modal logic, and intervention-based reasoning inspired by Halpern and Pearl. The framework allows us to reason about causes of behavioural properties in concurrent systems, while connecting variable-level interventions with operational semantics and labelled transition systems. A central insight is that causality depends not only on observable behaviour, but also on the internal structure generating that behaviour: systems that are behaviourally equivalent may still differ from a causal perspective. This work aims to build bridges between concurrency theory, formal verification, causal reasoning, and explainable system analysis, opening new directions for understanding complex reactive a… Subtitle: Research Seminar by Dr Georgiana Caltais. Contact: scisseminars@smu.edu.sg. Speaker Details: , Georgiana Caltais Assistant Professor Formal Methods and Tools Group University of Twente Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Georgiana Caltais is an Assistant Professor in the Formal Methods and Tools group at the University of Twente, the Netherlands. She received her PhD from Radboud University and Reykjavík University and subsequently held research positions at ETH Zürich and the University of Konstanz. Her research focuses on the formal modelling,… RSVP: . Reserve a seat: https://forms.office.com/pages/responsepage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTbOXO7ktpRtBsn62WuekYtpUQTMzSzY3R0FDVzJNNUIwRUxCUUVaQU5HQy4u&route=shorturl. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Tuesday, July 21, 2026, 2:00 PM – 3:00 PM. Meeting Room 4-1, Level 4. SMU SCIS 2, Singapore 178903. For more info visit computing.smu.edu.sg.

Generative AI and Large Language Models (LLMs) for Cyber-Security and Political Sciences

School of Computing and Information Systems This presentation explores the transformative potential of generative AI—particularly large language models (LLMs)—in addressing critical challenges in domains such as cybersecurity, intelligent transportation systems (ITS) and political sciences. In this talk, the speaker will cover the following and other related topics.Generative AI–Enhanced Threat Modeling in ITS: We develop an LLM-based framework to automate threat modeling for complex intelligent transportation systems by mapping information flows to MITRE ATT&CK techniques and NIST Cybersecurity Framework controls. The approach evaluates multiple AI methods, including zero-shot learning, RAG, multimodal reasoning, in-context learning, and fine-tuning. Policy Analysis for Secure Transportation Systems: This project enhances transportation cybersecurity policy using AI-driven legal analysis and stakeholder engagement. Building on the TraCR AI system, it integrates U.S. and international regulations and uses agentic AI and graph-based retrieval to… Subtitle: Research Seminar by Dr Latifur Khan. Contact: scisseminars@smu.edu.sg. Speaker Details: , Latifur Khan Professor Department of Computer Science University of Texas at Dallas (UT Dallas), USA Fellow of IEEE, AAAS, IET & BCS, Dr. Latifur Khan is a full Professor in the Computer Science department at the University of Texas at Dallas, USA and Director of the Artificial Intelligence and Cyber Security Center. Dr. Khan is a fellow of IEEE, AAAS, and the British-based IET and BCS, and an ACM Distinguished Scientist. He has received prestigious awards including the IEEE ITSS ISI 2012 Technical… RSVP: . Reserve a seat: https://forms.office.com/pages/responsepage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTbOXO7ktpRtBsn62WuekYtpUQTFSQlY0UTQ2OTJVQzI4M1Y4MEQxRzA2MC4u&route=shorturl. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Tuesday, July 21, 2026, 3:00 PM – 4:00 PM. Seminar Room 4-2, Level 4. SMU SCIS 2, Singapore 178903. For more info visit computing.smu.edu.sg.

Power BI 101 [PBI]

DSP This workshop is designed to equip participants with the foundational skills needed to confidently navigate and use Power BI. By the end of the session, attendees will understand the core components of Power BI, including how to connect to data sources, build interactive reports, and create basic visualizations. Participants will gain hands-on experience in transforming raw data into meaningful insights, setting the stage for more advanced data analysis and reporting capabilities in the future. Fee(s): This workshop is designed to equip participants with the foundational skills needed to confidently navigate and use Power BI. By the end of the session, attendees will understand the core components of Power BI, including how to connect to data sources, build interactive reports, and create basic visualizations. Participants will gain hands-on experience in transforming raw data into meaningful insights, setting the stage for more advanced data analysis and reporting capabilities in the future. Power BI… RSVP: Join us here! Type: Seminars & Workshops. Subject: Operations Management. Audience: SMU Faculty & Staff. Wednesday, July 22, 2026, 9:00 AM – 5:00 PM. SOE/SCIS2 Seminar Room B1-1.

Beyond Instinct: Evidence-Based Negotiation for Legal Practice

SMU Law Academy Contact: smulawacademy@smu.edu.sg. RSVP: . Type: Webinar & Online Learning. Seminars & Workshops. Talks & Forums. Subject: Law. Audience: Public. Alumni. Professionals. Practice Area: Professional Skills. Mandatory Ethics Component (Ethics and Professional Standards). Training Levels: General – Default. Include activities with mixed levels. Wednesday, July 22, 2026, 2:30 PM – 4:30 PM. Webinar. For more info visit smula.smu.edu.sg.

SMU EMBA 1-1 Consultation and Application Session

EMBA Infosessions RSVP: . Reserve a seat: https://calendly.com/danielpang-smu/smu-emba-consultation-jul26. Event Details: Considering the SMU EMBA August 2026 intake? Speak to the Admissions Team in an exclusive 1-1 consultation to have an open conversation about what the SMU Executive MBA can offer - in broadening perspectives, strengthening networks, and deepening your impact. We will also help you navigate the application portal, as well as offer you an application fee waiver. After registering for a time slot, email us a copy of your CV and we will reach out with further information. Contact: emba.admissions@smu.edu.sg. Type: Information Sessions. Subject: Business. Audience: Prospective Student. Public. Professionals. Wednesday, July 22, 2026, 5:00 PM – 8:00 PM. Virtual / SMU Campus.

SMU: Bangkok Coffee Session

Infosessions Hourly Sessions: 6:00pm to 8:00pm. RSVP: . Reserve a seat: https://calendly.com/smupgppmg/smu-consultation?month=2026-07&date=2026-07-22. Event Details: Join us for an insightful session to discover how our post-graduate programmes can support your personal and professional aspirations. Our Admissions Advisors will speak with you directly to provide detailed guidance on the application process and to discuss the financial aid and scholarship opportunities that may be available to you. For a pre-application assessment, please bring along a copy of your resume for a personalised review. Kindly note that sessions may be conducted in a group se… Type: Information Sessions. Subject: Finance & Financial Markets. Business. Innovation & Entrepreneurship. Analytics for Business, Consumer & Social Insights. Audience: Prospective Student. Public. Wednesday, July 22, 2026, 6:00 PM – 8:00 PM. Sofitel Bangkok Sukhumvit.

Class Alumni Leaders Investiture 2026

Office of Alumni Relations As a Class Alumni Leader (CL), you have been selected to play an important role in shaping the future of the SMU alumni community. The inaugural Class Alumni Leaders Investiture will bring together more than 100 CLs from across SMU’s six Schools, representing the undergraduate and postgraduate alumni cohorts of 2025 and 2026. You are cordially invited to join us for this special event where we will formally recognise your appointment to this SMU-wide leadership role as your cohort’s leader and connector. The event will be graced by the SMU Provost, Prof Alan Chan, alongside senior management from the respective Schools. The evening marks an important milestone, celebrating your transition from a student leader to an alumni leader. It will also be an opportunity to connect with fellow Class Alumni Leaders, engage SMU leadership and School representatives, and begin building meaningful relationships that will strengthen the alumni community in the years ahead. We look forward to welcoming you to this memor… Contact: fabianchong@smu.edu.sg. RSVP: By invitation only. Type: Ceremonies & Special Events. Subject: University Events. Audience: Alumni. Wednesday, July 22, 2026, 7:00 PM – 9:00 PM. SMU ALCove.

CANCELLED - The Value Adjustment Mechanism ("Dui Du") in Equity Investment Agreements in China

SMU Law Academy RSVP: . Type: Talks & Forums. Seminars & Workshops. Lectures. Subject: Law. Audience: Partners. Alumni. Professionals. Practice Area: Corporate/Commercial. Training Levels: Intermediate – Some prior knowledge. Thursday, July 23, 2026, 2:30 PM – 5:30 PM. For more info visit smula.smu.edu.sg.

SMU Mentoring Pinnacle with DBS 2026: Kickoff

Office of Alumni Relations Join us as we launch another year of our mentoring programme in partnership with DBS Bank. This kick-off session brings DBS mentors and SMU alumni mentees together to build connections and lay the groundwork for a meaningful and enriching mentoring journey. Contact: jasmineler@smu.edu.sg. RSVP: By invitation-only. Type: Social & Networking. Subject: Learning & Professional Development. Audience: Alumni. Partners. Thursday, July 23, 2026, 7:00 PM – 9:00 PM. Li Ka Shing Library, Level 5.

SMU: Ho Chi Minh City Coffee Session

Infosessions Hourly Sessions: 5:00pm to 8:00pm. RSVP: . Reserve a seat: https://calendly.com/danielpang-smu/smu-hcmc-jul26. Event Details: Join us for an insightful session to discover how our post-graduate programmes can support your personal and professional aspirations. Our Admissions Advisors will speak with you directly to provide detailed guidance on the application process and to discuss the financial aid and scholarship opportunities that may be available to you. For a pre-application assessment, please bring along a copy of your resume for a personalised review. Kindly note that sessions may be conducted in a group se… Type: Information Sessions. Subject: Finance & Financial Markets. Business. Audience: Prospective Student. Public. Friday, July 24, 2026, 5:00 PM – 8:00 PM. Lotte Hotel Saigon 2A-4A Tôn Đức Thắng, Phường, Sài Gòn, Hồ Chí Minh 700000, Vietnam.

Designing Context-Aware AI Intervention for Interpersonal Communication

School of Computing and Information Systems Conversational agents are increasingly evolving from tools that assist individual users into systems that actively participate in communication between people. Unlike traditional human–AI interaction, interpersonal communication requires AI systems to reason not only about individual users but also about the social, relational, and epistemic contexts in which communication takes place. However, existing research provides limited understanding of how AI interventions should be designed and adapted across different communication contexts. This dissertation investigates how context-aware AI systems can effectively intervene in and support interpersonal communication. It addresses two complementary research problems: (1) establishing a systematic design space for AI interventions and (2) understanding how intervention strategies should adapt to different communication contexts. To address the first problem, the dissertation begins with a systematic literature review of group conversational agents, synthesizing p… Subtitle: PhD Dissertation Proposal by ZHANG Tianyi. Contact: scisseminars@smu.edu.sg. Speaker Details: , ZHANG Tianyi PhD Candidate School of Computing and Information Systems Singapore Management University, ZHANG Tianyi is a PhD candidate in Computer Science at the School of Computing and Information Systems, Singapore Management University, under the supervision of Associate Professor Tony TANG and Assistant Professor Li Jiannan. Her research primarily focuses on Human–AI Interaction, particularly the design of AI systems that support interpersonal and group communication. RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UMFRDS1E4MURWWUM2MldYWVpDM1NBNlBDTy4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Monday, July 27, 2026, 1:00 PM – 2:00 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Generative AI for Cardiovascular Health

School of Computing and Information Systems Cardiovascular disease remains a major global health challenge, making reliable and accessible monitoring increasingly important. Two of the most widely used signals for assessing cardiovascular function are the electrocardiogram (ECG), which records the heart’s electrical activity, and the photoplethysmogram (PPG), which measures blood-volume changes through optical sensing. Recent advances in generative AI have opened new possibilities for learning from these signals. However, important challenges remain in ensuring reliable performance on real-world signals, generalizing across diverse populations and healthcare settings, and enabling flexible interaction beyond narrowly defined prediction tasks. In this talk, I will present a progression of methods for building more reliable, transferable, and interactive cardiovascular AI. Drawing on research in signal quality enhancement and disentangled learning, large-scale multimodal representation learning, and language models, I will show how physiology-informed de… Subtitle: PhD Dissertation Proposal by PHAM Hung Manh. Contact: scisseminars@smu.edu.sg. Speaker Details: , PHAM Hung Manh PhD Candidate School of Computing and Information Systems Singapore Management University, Hung Manh PHAM is a third-year PhD candidate in Computer Science, supervised by Prof. Pan Zhou and co-supervised by Prof. Dong Ma and Prof. Bin Zhu. He is also a visiting student at the University of Cambridge. His research focuses on machine learning for healthcare and biomedicine, particularly physiology-informed learning and medical foundation models. His broader interests include causal… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UQUk0RU5QQlVMTDk5TDZHUFRYS1REU1pYNC4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Monday, July 27, 2026, 3:30 PM – 4:30 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

SMU: Manila Coffee Session

Infosessions RSVP: . Reserve a seat: https://calendly.com/ivysim-smu/manilacs270726?month=2026-07. Event Details: Join us for an insightful session to discover how our post-graduate programmes can support your personal and professional aspirations. Our Admissions Advisors will speak with you directly to provide detailed guidance on the application process and to discuss the financial aid and scholarship opportunities that may be available to you. For a pre-application assessment, please bring along a copy of your resume for a personalised review. Kindly note that sessions may be conducted in a group se… Type: Information Sessions. Subject: Business. Finance & Financial Markets. Innovation & Entrepreneurship. Audience: Prospective Student. Public. Monday, July 27, 2026, 7:30 PM – 9:30 PM. Fairmont Makati Hotel.

Conversational Understanding in the Open World: Intention Discovery, Structuring, and Defense

School of Computing and Information Systems Conversational understanding—inferring the intentions behind user utterances—constitutes the interpretive foundation of conversational AI. However, existing research predominantly operates under a closed-world assumption, where user needs are drawn from a predefined ontology and expressed through rigid semantic representations. This assumption proves increasingly restrictive in real-world conversations, where new user needs continually emerge, complex intentions involve rich contextual and affective semantics, and malicious intentions may be strategically concealed and refined over multiple turns. This dissertation advances conversational understanding in the open world along three interrelated directions: (1) intention discovery, which recognizes and characterizes emerging intents beyond predefined ontologies; (2) intention structuring, which represents fine-grained intentions through expressive yet consistent multi-aspect structures; and (3) intention defense, which safeguards conversational systems agains… Subtitle: PhD Dissertation Proposal by LIANG Jinggui. Contact: scisseminars@smu.edu.sg. Speaker Details: , LIANG Jinggui PhD Candidate School of Computing and Information Systems Singapore Management University, LIANG Jinggui is a PhD candidate in Computer Science at the School of Computing and Information Systems, Singapore Management University, supervised by Prof. LIAO Lizi. His research focuses on conversational understanding, LLM safety, and multi-agent systems. RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UREJITE4ySlRUMU1HTTBDVTRYUlNSWjMwSS4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Tuesday, July 28, 2026, 9:00 AM – 10:00 AM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Peer Group Analysis using Knowledge Graphs and Large Language Models for Business Optimization

School of Computing and Information Systems Comparing similar entities, or peers, is central to decision-making over complex and restricted information, yet doing it reliably remains hard. It requires three linked capabilities: finding the right peers, matching up data that is organized differently across sources, and enabling analysis when the underlying data cannot be shared. This dissertation presents a unified framework addressing all three. First, a knowledge-graph-based exploration system finds meaningful peers by connecting specific entities through shared concepts, letting analysts zoom out to broader categories or zoom in to supporting evidence. Second, a matching approach uses large language models to reconcile differently structured data sources, handling complex real-world cases where simple similarity fails. Third, a privacy-safe framework generates realistic synthetic data guided only by summary statistics, so analysis can proceed without ever exposing real records. Together, these components turn peer analysis from isolated tasks into… Subtitle: PhD Dissertation Defense by WANG Sha. Contact: scisseminars@smu.edu.sg. Speaker Details: , WANG Sha PhD Candidate School of Computing and Information Systems Singapore Management University, Sha's dissertation is focused on structured methods for analyzing and comparing complex, restricted datasets — combining data mining, knowledge graphs, and LLM-driven automation to make heterogeneous information easier to search, align, and share safely. Her research interests center on data mining and automation: building systems that reduce manual effort in data discovery, integration, and preparation,… RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTacjffrphqhDrJfv1DjxSmNUNFE5MTgwRjlESjNZMEEzMVFQS1pIRTlWNS4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Tuesday, July 28, 2026, 11:00 AM – 12:00 PM. Meeting room 4.4, Level 4. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

AI-Driven Interactive Knowledge Synthesis and Explorable Learning

School of Computing and Information Systems Artificial Intelligence (AI) has transformed how people access information and learn, yet most AI systems remain largely text-centric, providing generated prose with limited support for visual synthesis and interactive exploration. This dissertation argues that AI should move beyond generating text to constructing interactive explanatory artifacts that combine generated content, visual structure, and user interaction to support deeper understanding. Such artifacts enable people to inspect, manipulate, and reason about complex information and concepts, whether synthesizing knowledge from multiple sources or learning abstract subjects such as mathematics. To investigate this vision, the dissertation presents three AI-driven systems spanning knowledge synthesis and mathematics education: Compendia, which transforms fragmented information from online documents into interactive visual data stories; MathVibe, which supports teacher–AI co-creation of mathematics explorable explanations; and EETutor, which dynamicall… Subtitle: PhD Dissertation Proposal by VIDANA GAMAGE Manusha Imesh Karunathilaka. Contact: scisseminars@smu.edu.sg. Speaker Details: , VIDANA GAMAGE Manusha Imesh Karunathilaka PhD Candidate School of Computing and Information Systems Singapore Management University, Manusha Karunathilaka is a Ph.D. candidate in the School of Computing and Information Systems at Singapore Management University. His research lies at the intersection of human-computer interaction, artificial intelligence, data visualization, and educational technologies. He is particularly interested in developing AI-driven interactive artifacts that support knowledge… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UOTcxQURGSkRORjdNUktMTElXU1RGNkVQWC4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Tuesday, July 28, 2026, 1:00 PM – 2:00 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Principled Configuration Optimization for Parameter-Efficient Fine-Tuning of Foundation Models

School of Computing and Information Systems Full fine-tuning of large pre-trained models incurs prohibitive computational cost and risks catastrophic forgetting. Parameter-efficient fine-tuning (PEFT) addresses this by updating only a small set of additional parameters while keeping the pre-trained model frozen. Low-Rank Adaptation (LoRA) has emerged as the de facto PEFT method for both large language models and vision transformers. However, in current practice, LoRA is configured uniformly: the same adaptation at every network position, and the same treatment of every task and every class. This thesis formulates LoRA configuration as a constrained resource allocation problem: a fixed parameter budget distributed over the structure of the model and the distribution of the data. We establish that the optimal allocation is non-uniform, and that it can be derived from properties of the model and the data rather than found by search. Configuration alone moves accuracy between 8.1% and 91.1% at a fixed parameter budget, and principled non-uniform allocation… Subtitle: PhD Dissertation Proposal by TIAN Zichen. Contact: scisseminars@smu.edu.sg. Speaker Details: , TIAN Zichen PhD Candidate School of Computing and Information Systems Singapore Management University, Zichen TIAN is a PhD candidate in the School of Computing and Information Systems, Singapore Management University, advised by Prof. Qianru Sun. He holds an M.Sc. from Nanyang Technological University and a B.Eng. from Beijing University of Posts and Telecommunications. His research focuses on parameter-efficient adaptation of foundation models, systematically addressing robustness and scalability… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UMFVJUkdRN0tVSkdBTVROVEFMT05WTU5SQi4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Tuesday, July 28, 2026, 3:30 PM – 4:30 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Towards Embodied Human Motion Generation

School of Computing and Information Systems Generative models now produce human motion that faithfully follows text, music, or user intent, yetsuch motion is optimized for how it looks against captured data, not for whether a body could performit in an environment. This dissertation calls this distance the embodiment gap and pursues embodiedhuman motion generation by decomposing the gap into four requirements: coherence over long horizonsat tractable cost (R1), a body free of self-collision (R2), closed-loop response to streaming user input (R3), and physical executability on a humanoid robot (R4). Three completed works address the first three. Lagrangian Motion Fields addresses R1 with a compact, training-free motion abstraction that improves long-term generation quality while reducing inference cost. FreeMo addresses R2 witha differentiable, trajectory-level collision energy that removes self-collision from pretrained generators without retraining. TINMO addresses R3 by discovering unsupervised latent actions over motion primitives, recasting interac… Subtitle: PhD Dissertation Proposal by YANG Yifei. Contact: scisseminars@smu.edu.sg. Speaker Details: , YANG Yifei PhD Candidate School of Computing and Information Systems Singapore Management University, Yifei YANG is a PhD candidate in Computer Science at the School of Computing and Information Systems,Singapore Management University, supervised by Prof. Shengfeng He. His research focuses onhuman motion generation, with the goal of closing the gap between motion that looks right and motionthat a physical body can execute. His work on Lagrangian Motion Fields is published in IEEE Transactionson Pattern… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UN0ZUUzFMWkpGUUlVQ0IyN1NaNkZBUFI4Qi4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Wednesday, July 29, 2026, 9:00 AM – 10:00 AM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

SMU EMBA 1-1 Consultation and Application Session

EMBA Infosessions RSVP: . Reserve a seat: https://calendly.com/danielpang-smu/smu-emba-consultation-jul26. Event Details: Considering the SMU EMBA August 2026 intake? Speak to the Admissions Team in an exclusive 1-1 consultation to have an open conversation about what the SMU Executive MBA can offer - in broadening perspectives, strengthening networks, and deepening your impact. We will also help you navigate the application portal, as well as offer you an application fee waiver. After registering for a time slot, email us a copy of your CV and we will reach out with further information. Contact: emba.admissions@smu.edu.sg. Type: Information Sessions. Subject: Business. Audience: Prospective Student. Public. Professionals. Wednesday, July 29, 2026, 10:00 AM – 8:00 PM. Virtual / SMU Campus.

SMU Mentoring Navigator 2026: Closing

Office of Alumni Relations Contact: zaccheng@smu.edu.sg. RSVP: . Type: Social & Networking. Subject: University Events. Audience: Alumni. Current Student. Wednesday, July 29, 2026, 7:00 PM – 9:00 PM.

SMU Alumni Gathering in Ho Chi Minh City

Office of Alumni Relations Join fellow SMU alumni in Ho Chi Minh City for an evening of meaningful connections, lively conversations and warm fellowship over dinner. Whether you're a long-time resident or new to the city, this gathering is a great opportunity to reconnect with familiar faces, meet new alumni, and celebrate the shared SMU journey. Why you should be there: 🗣️Get the latest SMU updates from Florence Neo (Assoc Alum), Director, Office Alumni Relations; Yvonne Chan, Chief Financial Officer and Vice President; and Prasanthi Guda, Director, Dato’ Kho Hui Meng Career Centre. 🌏Expand your professional network 🚀Tap into alumni benefits and resources that support your professional growth. Contact: corinnekang@smu.edu.sg. Speaker Details: Florence Neo (Assoc Alum), Director, Office Alumni Relations Yvonne Chan, Chief Financial Officer and Vice President Prasanthi Guda, Director, Dato’ Kho Hui Meng Career Centre. RSVP: . Type: Social & Networking. Subject: University Events. Audience: Alumni. Wednesday, July 29, 2026, 8:00 PM – 10:00 PM. Quan Bui Central 1B Ngô Văn Năm, Quận 1, Hồ Chí Minh 70000, Vietnam.

Digital Assets and IP Disputes

SMU Law Academy Contact: smulawacademy@smu.edu.sg. RSVP: . Reserve a seat: https://registration.smu.edu.sg/RuntimeExternal/Runtime/Form/CRS.CourseRegistration/?CA=Technology%20%26%20Intelligent%20Systems&PRG=10432&MOD=24388&_ga=2.257687755.1965502871.1623058616-948450435.1616397375. Type: Seminars & Workshops. Training. Subject: Law. Audience: Professionals. Public. Practice Area: Intellectual Property. Training Levels: Foundation – No prior knowledge required. Thursday, July 30, 2026 – Friday, July 31, 2026. Singapore Management University. For more info visit law.smu.edu.sg.

Conversational Search for Video Retrieval

School of Computing and Information Systems As digital video libraries expand exponentially, our search engines remain trapped in a passive, "one-shot" paradigm that forces users through exhausting loops of visual browsing fatigue. This talk introduces a transition in search paradigm: transforming video retrieval from a rigid query-ranking mechanism into an active, cooperative human-machine dialogue grounded in information theory. Moving beyond traditional system limitations, we will explore a conversational framework designed to dynamically narrow down the search space in real time. We will examine how training-free active concept pruning optimizes textual search by breaking away from the pitfalls of classical feedback loops. From there, we will discuss about how entropy can be use as a "central controller" to dynamically orchestrate cross-modal interaction modalities—like visual exemplars and fluid open questions—without the constraints of a static vocabulary. Finally, we will preview how this framework extends active reasoning directly into fine-gra… Subtitle: PhD Dissertation Proposal by CHENG Yu Tong. Contact: scisseminars@smu.edu.sg. Speaker Details: , CHENG Yu Tong PhD Candidate School of Computing and Information Systems Singapore Management University, CHENG Yu Tong is a Ph.D. candidate supervised by Prof. NGO Chong Wah at Singapore Management University. His research primarily focuses on the field of multimedia retrieval, with a specialization in the known-item search task. He also has an extensive background in system design and competitive benchmarking, having participated in numerous iterations of the Video Browser Showdown (VBS). Notably, in… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UMkFLRjRDRDVTVEhGODlSTlQ2WTFXMlE2US4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Thursday, July 30, 2026, 1:00 PM – 2:00 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

MAF Alumni Reunion 2026

Office of Alumni Relations 🔥 MAF FAMILY — IT’S REUNION TIME! 🔥 We’re calling every MAF graduate from 2004 to 2025 to come home for one unforgettable night. Expect: ✨ Reuniting with old friends you haven’t seen in years ✨ Meeting fellow alumni across industries, companies, and countries ✨ Catching up with your favourite faculty again ✨ A whole lot of MAF energy under one roof We’re putting real heart into growing and strengthening the MAF alumni community — and this reunion marks the start of an exciting new chapter. So register now, rally your classmates, and get ready for a night that’ll feel just like coming home. Be there. 🙌🔥. Contact: fabianchong@smu.edu.sg. RSVP: . Type: Social & Networking. Subject: University Events. Audience: Alumni. SMU Faculty & Staff. School/Programme: Lee Kong Chian School of Business. MSc in Applied Finance. Thursday, July 30, 2026, 7:00 PM – 9:00 PM. SMU ALCove.

Singapore Tax Academy Research Initiative (STARI) Annual Conference 2026

Centre for Cross Border Commercial Law in Asia Subtitle: Shaping the Future of International Tax: Policy, Practice and Perspectives. Fee(s): Public Early Bird Rate: SGD523 per pax incl. 9% GST (non-refundable) Public Standard Fee: SGD654 per pax incl. 9% GST (non-refundable) SMU Faculty: Complimentary - please register here instead. Overseas participants who in their business capacity belong overseas and are sponsored by overseas employers, will pay SGD480 (Early Bird Rate) / SGD600 (Standard Fee) excluding GST. . Contact: ccla@smu.edu.sg. Speaker Details: Please visit: https://site.smu.edu.sg/stari-annual-conference-2026#speakers. RSVP: Public: SMU Staff and Current Students only: . Type: Conferences & Symposiums. Subject: Accounting. Law. Audience: Public. SMU Faculty & Staff. Current Student. Academic Community. Friday, July 31, 2026, 9:00 AM – 6:00 PM. Tax Academy of Singapore Hub, #01-03, Revenue House 55 Newton Rd, Singapore 307987. For more info visit site.smu.edu.sg.

SMU: Tokyo Coffee Session

Infosessions Hourly Sessions: 12:00pm - 3:00pm (JST) (hourly sessions) 6:00pm - 8:00pm (JST) (hourly sessions). RSVP: . Reserve a seat: https://calendly.com/smuai/tokyo-coffee-session. Event Details: Join us for an insightful session to discover how our post-graduate programmes can support your personal and professional aspirations. Our Admissions Advisors will speak with you directly to provide detailed guidance on the application process and to discuss the financial aid and scholarship opportunities that may be available to you. For a pre-application assessment, please bring along a copy of your resume for a personalised review. Kindly note that sessions may be conducted in a group se… Type: Information Sessions. Subject: Finance & Financial Markets. Business. Audience: Prospective Student. Public. Friday, July 31, 2026, 11:00 AM – 7:00 PM. SALONE VENDREDI 103-0022 Tokyo, Chuo-City, Nihonbashimuromachi, 3-4-4 Floor 1.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

PGP Pre-Term Course Registration

ISIS Events Term: 2026-27 August Term - Regular Academic Session (24-Aug-26 to 15-Nov-26). Term Week: Before Term Starts. Subject: Academic. Type: BOSS/Course Registration. Audience: Current Student. Critical Date: Yes. Friday, July 31, 2026, 12:30 PM – Friday, August 14, 2026, 12:30 PM.

Building Trustworthy AI for Code: From Model Training to Agent Evaluation and Benchmark Reliability

School of Computing and Information Systems AI for Code is evolving from code-completion models toward software development agents that inspect repositories, edit files, execute tests, and submit patches. As these systems participate in increasingly complex development workflows, final-output metrics alone cannot explain how results are produced, what risks they may hide, or whether the benchmarks used to measure them are reliable. This dissertation studies trustworthy AI for Code through three connected perspectives: model training, agent evaluation, and benchmark reliability. It examines the effectiveness and memorization risks of collaborative code-model training; evaluates software agents through their generated patches, execution trajectories, testing behavior, and agent-written tests; and investigates the stability and validity of repository-level performance-optimization benchmarks. Across five studies, the dissertation shows that reported success should be interpreted beyond headline metrics. Effective training may still introduce memorization… Subtitle: PhD Dissertation Proposal by CHEN Zhi. Contact: scisseminars@smu.edu.sg. Speaker Details: , CHEN Zhi PhD Student School of Computing and Information Systems Singapore Management University, Zhi CHEN is a Ph.D. student in Computer Science at Singapore Management University, supervised by Prof. Lingxiao Jiang. His research focuses on AI for Code and software development agents. He has published papers at leading software engineering conferences, including ICSE, ASE, and SANER. He also has industry R&D experience at technology companies such as TikTok AI Innovation Center and Sea Labs. More… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UMFU1NVlJRjIzUEs5WUtJS1haSFdTRk5TNS4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Friday, July 31, 2026, 1:00 PM – 3:00 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

End-Term Course Feedback

ISIS Events Term: 2025-26 July Term - Regular Academic Session (13-Jul-26 to 16-Aug-26). Term Week: Week 4 to Week 5. Subject: Academic. Type: Course Feedback. Audience: Current Student. Critical Date: Yes. Monday, August 3, 2026, 12:00 AM – Sunday, August 16, 2026, 11:59 PM.

Privacy Preservation in Large Language Models (LLMs)

School of Computing and Information Systems Large Language Models (LLMs) have revolutionized artificial intelligence but introduced profound privacy vulnerabilities, including data leakage, model inversion, and the inadvertent exposure of sensitive information. As LLMs integrate into high-stakes applications, mitigating these risks is paramount. This talk explores the fundamental privacy challenges inherent in LLM operations and introduces NOIR, the first privacy-preserving LLM model. To prevent prompting contents exposure to honest-but-curious cloud service providers, NOIR utilizes a secure, distributed architecture that transmits only encoded embeddings. By employing local differential privacy at the token embedding level alongside a data-independent, randomized tokenizer, NOIR effectively shields both proprietary prompts and resultant answers. The talk will demonstrate how NOIR achieves an optimal balance, providing rigorous privacy guarantees without compromising computational efficiency or downstream model performance. Subtitle: Research Seminar by Dr My T. Thai. Contact: scisseminars@smu.edu.sg. Speaker Details: , My T. Thai Professor Department of Computer & Information Science & Engineering University of Florida, My T. Thai is a Research Foundation Professor, Associate Director of UF Nelms Institute for the Connected World, and a Fellow of IEEE and AAIA. Dr. Thai is a leading authority who has done transformative research in Trustworthy AI and Optimization, especially for complex systems with applications to healthcare, social media, critical networking infrastructure, and cybersecurity. The results of her… RSVP: . Reserve a seat: https://forms.office.com/pages/responsepage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTbOXO7ktpRtBsn62WuekYtpUMDdEMzI3V0xUMVQyM0RUV0JUQzlLUlQyOS4u&route=shorturl. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Monday, August 3, 2026, 10:00 AM – 11:00 AM. Meeting Room 4-4, Level 4. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

✨ Supercharge Your eLearn Courses with GenAl Magic [ELN]

LST Description: Learn how to create engaging interactive content using H5P and explore Al-powered teaching tools, including Lumi Tutor, Lumi Pro, and Bongo Learn. For more information on the workshops, please contact us at elearn@smu.edu.sg. Speaker Details: RSVP: Register Here. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: SMU Faculty & Staff. Monday, August 3, 2026, 10:00 AM – 11:30 AM. Zoom Session.

PD Coffee Sessions (Singapore)

Infosessions Hourly Sessions: Monday, 3 August 2026, 6:00pm - 8:00pm (hourly sessions) [Physical Session]. RSVP: . Reserve a seat: https://postgraduate.smu.edu.sg/acton/fs/blocks/showLandingPage/a/11522/p/p-03d8/t/page/fm/3. Event Details: Admissions Advisors will speak with you directly to address your concerns and discuss about the Professional Doctorate programme we have here in SMU’s Lee Kong Chian School of Business. We offer Professional Doctorate programme that can be completed in 3-5 years while working:Doctor of Business Administration, To do a pre-application assessment of your profile, please bring along a copy of your resume. On Campus Level 4, Meeting Room Lee Kong… Contact: lkcsbpd.admissions@smu.edu.sg. Type: Information Sessions. Subject: Business. Finance & Financial Markets. Audience: Prospective Student. Public. Monday, August 3, 2026, 6:00 PM – 8:00 PM. Level 4, Meeting Room SMU Lee Kong Chian School of Business 50 Stamford Road, Singapore 178899 Singapore.

STARI Lunchtime Seminar - Pillar Two Beyond International Tax Law: An Investment Law Perspective

Centre for Cross Border Commercial Law in Asia In addition to reshaping the international tax landscape, the implementation of the Global Minimum Tax rules under Pillar Two has raised new legal questions extending beyond the traditional boundaries of international tax law. This talk examines whether, and under what circumstances, Pillar Two measures may be challenged under international investment treaties by multinational enterprises subject to top-up taxes. It considers whether measures implementing Pillar Two might be scrutinized under investment treaties, the potential application of substantive investment protections (such as expropriation and fair and equitable treatment) to Pillar Two measures, and the practical implications for both states implementing Pillar Two measures and multinational enterprises affected by top-up taxes. More broadly, the talk reflects on what the interaction between Pillar Two and international investment law may suggest for the future design and implementation of international tax rules. Fee(s): Public Standard Fee: SGD50 per pax excl. 9% GST (non-refundable) SMU Faculty: Complimentary - please register here instead. Contact: ccla@smu.edu.sg. Speaker Details: Dr Xiaorong Li, Lecturer of International Tax Law Faculty of Law, Kyushu University Xiaorong (Sharron) Li is a Lecturer at the Faculty of Law, Kyushu University since 2024, after joining as an Assistant Professor in 2023. She holds a Doctor of Law degree from Peking University (2021) and was a guest researcher at the Institute for Austrian and International Tax Law, Vienna University of Economics and Business (Oct-Dec 2018; Oct 2019-Jun 2020). Prior to academia, she worked at PwC Shanghai in… RSVP: Public: SMU Staff and Current Students only. Type: Conferences & Symposiums. Subject: Accounting. Law. Audience: Public. SMU Faculty & Staff. Current Student. Academic Community. Tuesday, August 4, 2026, 12:30 PM – 1:30 PM. Tax Academy of Singapore Hub, #01-03, Revenue House 55 Newton Rd, Singapore 307987. For more info visit law.smu.edu.sg.