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"I like to use my brain": Neurodiversity in Software Engineering

Neurodiversity is an umbrella term that describes variation in brain function among individuals, including conditions such as Autism spectrum disorder (ASD), Attention deficit hyperactivity disorder (ADHD), or dyslexia. Neurodivergent individuals can face substantial barriers in society due to their conditions, e.g. due to difficulties or differences in communication, reading or writing difficulties, or reduced attention span. While conditions included in the neurodiversity term have traditionally been considered as disabilities in medical terms, these individuals often exhibit strengths in comparison to neurotypical individuals, for instance high attention to detail or higher creativity. In ongoing research, we try to understand how neurodivergent individuals can be involved better in software engineering activities, what relevant strengths they exhibit, and how we can tailor software engineering methods to better support their needs and strengths. In this talk, I will give an overview of current research o… Subtitle: Research Seminar by Dr Grischa Liebel. Contact: scisseminars@smu.edu.sg. Speaker Details: , Grischa Liebel Associate Professor Department of Computer Science Reykjavik University, Grischa Liebel is an Associate Professor in Software Engineering and the director of the CRESS research centre at Reykjavik University, Iceland. He holds a Ph.D. degree from Chalmers University of Technology, Sweden. His research focuses on human factors in software engineering, typically in areas such modelling and model-based engineering, requirements engineering, processes, and education. Much of Grischa’s… RSVP: . Reserve a seat: https://forms.office.com/pages/responsepage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTbOXO7ktpRtBsn62WuekYtpUODI4SlBBNTBUMEtSMlRXQlNGODdNWUFJNC4u&route=shorturl. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Thursday, July 30, 2026, 10:00 AM – 11:00 AM. Meeting Room 4-1, Level 4. SMU SCIS 2, Singapore 178903. For more info visit computing.smu.edu.sg.

Conversational Search for Video Retrieval

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.

SMU: Tokyo Coffee Session

Public Events 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.

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

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 Candidate School of Computing and Information Systems Singapore Management University, Zhi CHEN is a Ph.D. candidate 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.

Harmony without Uniformity: Recovering Individual Decision Models from Heterogeneous Behavioral Data

This dissertation studies how to recover behaviorally faithful individual decision models from heterogeneous behavioral data. An individual may be an artificial agent governed by a policy or a human participant producing a sequence of choices, and the relevant evidence may consist of complete state--action trajectories or trial-by-trial human decisions. Observations from a single target are often limited, while indiscriminate pooling across a heterogeneous population can obscure target-specific behavior or transfer incompatible structure. The central challenge is therefore to use population data to improve individual model recovery without averaging away the behavior that defines the target. Variational Trajectory Encoding (VTE) addresses the first stage of this problem by learning unsupervised representations of complete state--action trajectories without reward, goal, or policy-identity labels. These representations preserve meaningful variation among trajectory-generating policies and enable a shared polic… Subtitle: PhD Dissertation Proposal by GE Zichang. Contact: scisseminars@smu.edu.sg. Speaker Details: , GE Zichang PhD Candidate School of Computing and Information Systems Singapore Management University, GE Zichang is a Ph.D. candidate in Computer Science at the School of Computing and Information Systems, Singapore Management University, under the supervision of Professor Pradeep VARAKANTHAM. His research focuses on decision making, particularly representation learning and cognitive program synthesis. RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UNlA1SUxJN0NXQlVOSVNOT09GRFVTNkNJUy4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Friday, July 31, 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.

Privacy Preservation in Large Language Models (LLMs)

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.

Quality Assurance for AI in Software Engineering: Practitioner Perceptions, Training-Time Threats, and Inference-Time Control

AI models have become core components of modern software systems, and software engineering itself is increasingly performed by AI: large language models summarize, generate, and repair code, and autonomous agents resolve real-world software issues end to end. The quality of AI models is thus now a software quality problem—yet AI systems are data-driven, stochastic, and largely opaque, so established quality assurance principles do not transfer directly. This dissertation studies how to assure AI quality across the lifecycle through five studies. First, an interview study with 15 industry practitioners, validated by a 50-practitioner survey, establishes which quality attributes practice actually prioritizes—revealing, among other findings, that efficiency is treated as a hard constraint under which correctness is optimized. Second, an empirical study of data-poisoning backdoor attacks on Code LLMs shows that poisoning just 20 of 454,451 training samples (0.004%) successfully implants backdoors, overturning the… Subtitle: PhD Dissertation Proposal by WANG Chenyu. Contact: scisseminars@smu.edu.sg. Speaker Details: , WANG Chenyu PhD Candidate School of Computing and Information Systems Singapore Management University, WANG Chenyu is a PhD candidate in Computer Science at the School of Computing and Information Systems, Singapore Management University, supervised by Prof. David Lo. His research focuses on quality assurance for AI in software engineering, spanning studies of practitioners' quality needs, training-time threats such as backdoor attacks on code models, and run-time control of LLM agents for software… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9URFQ5UkcyQjdNWTNJOTFWN0g5OExETTJZSC4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Monday, August 3, 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.

Securing AI Models Against Backdoors, Jailbreaks, and Prompt Injections

Deep neural networks (DNNs) and large language models (LLMs) face threats across training and deployment: backdoors, jailbreaks, prompt injections, and concept-conditioned semantic inconsistencies. Existing defenses often address these threats separately. This dissertation develops a signal-guided design principle: a matched perturbation, probe, or operating condition exposes a method-specific diagnostic signal that guides repair, audit triage, or abstention. This signal–perturbation–action structure unifies the logic without claiming a universal signal or failure mechanism. Four methods instantiate this principle. ULRL uses clean-data loss ascent to expose unusually malleable classifier rows, then reinitializes and relearns them. With 1% clean data, it reduces attack success to single digits in most cases across twelve attacks, four datasets, and three architectures, at a one-to-two-point accuracy cost. CROW regularizes layerwise consistency under adversarial embedding perturbations, mitigating six evaluated… Subtitle: PhD Dissertation Defense by NAY Myat Min. Contact: scisseminars@smu.edu.sg. Speaker Details: , NAY Myat Min PhD Candidate School of Computing and Information Systems Singapore Management University, NAY Myat Min is a final-year PhD candidate in Computer Science at SMU’s School of Computing and Information Systems, supervised by Professor SUN Jun. His research interests lie in AI security and trustworthy machine learning, with a particular focus on protecting vision models and large language models against backdoors, jailbreaks, prompt injections, and other adversarial threats. His research has… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UOEgxRzFENVlQOTYxTzc4OVNXWjdFM1M4MC4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Monday, August 3, 2026, 4:00 PM – 5:00 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Effective AI for Software Engineering: From Human Insights to Agentic Solutions

AI is changing not only how software is written, but also who—or what—participates in writing it. AI coding assistants are now routine fixtures of the IDE, while a newer class of systems—software engineering (SE) agents—can plan, edit, execute, and revise code across entire repositories with limited human oversight. Yet adoption has outpaced understanding. Benchmarks measure whether a system completes a predefined task, but reveal much less about what users value, how practitioners build these systems, or where established automation fails on real development histories. This dissertation proposal argues that effective AI for software engineering must begin with an understanding of the humans who use and build these systems. Human insights identify what matters in practice, empirical analysis makes the limitations of existing automation concrete, and agentic techniques provide a means of responding to both. Four studies develop this argument: a large-scale analysis of user reviews showing that a central compl… Subtitle: PhD Dissertation Proposal by LYU Yunbo. Contact: scisseminars@smu.edu.sg. Speaker Details: , LYU Yunbo PhD Candidate School of Computing and Information Systems Singapore Management University, LYU Yunbo is a PhD candidate in Computer Science at the School of Computing and Information Systems, Singapore Management University, supervised by Prof. David Lo. His research focuses on the intersection of Software Engineering and AI, taking a user- and developer-centered view of AI4SE systems such as AI coding assistants and SE agents: he empirically studies what users need and where builders… RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9URU5JNk1GQ0FOVkNYVVlQUEwwOU85WTVMOC4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Friday, August 7, 2026, 3:00 PM – 4:00 PM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

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

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.cloud.microsoft/pages/responsepage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTbOXO7ktpRtBsn62WuekYtpUMzAzU1g4NVlVRE04OFY1N0JRMkpQTlQyRy4u&route=shorturl. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Friday, August 7, 2026, 3:00 PM – 4:00 PM. Meeting Room 4-4, Level 4. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Persistent Safety Set Guided Offline Safe Reinforcement Learning

Offline safe reinforcement learning learns high-return policies that satisfy hard safety constraints using only a pre-collected dataset. This setting is challenging due to the inability to explore, and the risk of propagating value errors through unsafe state-space regions. To address this, first, we characterize the safe state region by developing a framework for learning control barrier functions (CBFs) using a novel generalized Bellman operator, yielding a persistent safety set, from which the agent can remain safe indefinitely. Second, we show that several existing safety set estimation methods (e.g. reachability-constrained RL) can be formulated within our CBF learning framework, highlighting its generality. We further propose a new CBF that ensures safety under environment dynamics uncertainty, unlike standard CBFs designed for deterministic settings. Third, we propose a new reward maximization algorithm that effectively exploits our learned persistent safety set for reward critic estimation. Empirical… Subtitle: Pre-Conference Talk by Brahmanage Janaka Chathuranga THILAKARATHNA. Contact: scisseminar@smu.edu.sg. Speaker Details: , Brahmanage Janaka Chathuranga THILAKARATHNA PhD Candidate School of Computing and Information Systems Singapore Management University, Janaka Brahmanage is a fourth-year PhD candidate in Computer Science, conducting research under the guidance of Associate Prof. Akshat Kumar at the SMU School of Computing and Information Systems. His research focuses on safe reinforcement learning and multi-agent systems. RSVP: . Reserve a seat: https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UMlpJMjdKM1ZWRkgxQ01PN0pRUk5KWTNEQi4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Tuesday, August 11, 2026, 11:30 AM – 12:00 PM. Meeting room 4.4, Level 4. School of Computing and Information Systems 1, Singapore Management University, 80 Stamford Road, Singapore 178902. For more info visit computing.smu.edu.sg.

SMU Masters Success Series - Information Session

Public Events Subtitle: First in a 3-part online session to help you to make informed postgraduate choices and career decisions. Fee(s): Complimentary. Contact: masters@smu.edu.sg. Speaker Details: Discover how an SMU Master's degree can help you advance your career. Explore our programmes, admissions requirements, application timelines, fees, scholarships, and the postgraduate learning experience. Whether you're looking to deepen your expertise or. RSVP: . Type: Ceremonies & Special Events. Conferences & Symposiums. Information Sessions. Lectures. Seminars & Workshops. Webinar & Online Learning. Talks & Forums. Social & Networking. Subject: Accounting. Ageing & Healthcare Management. Analytics for Business, Consumer & Social Insights. Arts & Culture. Business. Communication & Marketing. Economics. Innovation & Entrepreneurship. Information Technology & Systems. Finance & Financial Markets. International. Law. Leadership. Learning & Professional Development. Public & Community Service. Organisational Behaviour. Operations Management. Social Sciences & Humanities. Strategic Management. University Events. Urban Management & Su… Audience: Public. Current Student. Alumni. Incoming PG Students. Partners. Professionals. Prospective Student. SMU Faculty & Staff. Thursday, August 13, 2026, 7:00 PM – 9:00 PM. Online via Zoom.

SMU Masters Success Series - Application Workshop

Public Events Subtitle: Second in a 3-part online session to help you to make informed postgraduate choices and career decisions. Fee(s): Complimentary. Contact: masters@smu.edu.sg. Speaker Details: Submit your strongest application with confidence. Learn what admissions reviewers look for, how to present your achievements effectively, and practical tips to strengthen every part of your application. Walk away with clear next steps and the confidence. RSVP: . Type: Ceremonies & Special Events. Conferences & Symposiums. Exhibitions. Seminars & Workshops. Performances. Lectures. Information Sessions. Social & Networking. Talks & Forums. Webinar & Online Learning. Subject: Accounting. Analytics for Business, Consumer & Social Insights. Arts & Culture. Business. Communication & Marketing. Economics. Finance & Financial Markets. Information Technology & Systems. Innovation & Entrepreneurship. Learning & Professional Development. Leadership. Law. International. Operations Management. Organisational Behaviour. Public & Community Service. Social Sciences & Humanities. Strategic Management. University Events. Urban Management & Sustainability. Audience: Public. Academic Community. Alumni. Current Student. Incoming PG Students. Incoming Students. Partners. Professionals. Prospective Student. SMU Faculty & Staff. Wednesday, August 19, 2026, 7:00 PM – 9:00 PM. Online via Zoom.

SMU Doctor of Engineering (EngD) Virtual Information Session

Infosessions . RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/engdis0826. Type: Information Sessions. Webinar & Online Learning. Subject: Business. Leadership. Operations Management. Organisational Behaviour. Strategic Management. Information Technology & Systems. Analytics for Business, Consumer & Social Insights. Audience: Professionals. Prospective Student. Thursday, August 20, 2026, 7:00 PM – 8:00 PM. Virtual via Zoom Details will be provided via email upon registration.

MITB Virtual Information Session (Singapore)

Public Events RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbis0826. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Finance & Financial Markets. International. Information Technology & Systems. Innovation & Entrepreneurship. Leadership. Operations Management. Learning & Professional Development. Organisational Behaviour. Strategic Management. Audience: Public. Saturday, August 22, 2026, 10:00 AM – 12:00 PM. Online This information session will be conducted virtually via Zoom. Please register for the session by clicking on the “Register Now” button that leads you to our event registration form.

SMU Masters Success Series - Career Insights

Public Events Subtitle: Final of a 3-part online session to help you to make informed postgraduate choices and career decisions. Fee(s): Complimentary. Contact: masters@smu.edu.sg. Speaker Details: Gain valuable insights into today's evolving job market and discover how postgraduate study can accelerate your career growth. Hear from our Head of Postgraduate Career Services and an alumni panel as they share hiring trends, career strategies, and real-world experiences to help you plan your next career move with confidence. RSVP: . Type: Ceremonies & Special Events. Conferences & Symposiums. Information Sessions. Lectures. Performances. Seminars & Workshops. Webinar & Online Learning. Talks & Forums. Social & Networking. Subject: Accounting. Ageing & Healthcare Management. Analytics for Business, Consumer & Social Insights. Economics. Communication & Marketing. Business. Arts & Culture. Finance & Financial Markets. Information Technology & Systems. Innovation & Entrepreneurship. Learning & Professional Development. Leadership. Law. International. Operations Management. Organisational Behaviour. Public & Community Service. University Events. Strategic Management. Social Sciences & Humanities. Urban Management & Su… Audience: Public. Academic Community. Alumni. Current Student. Incoming PG Students. Incoming Students. Partners. Professionals. Prospective Student. SMU Faculty & Staff. Wednesday, August 26, 2026, 7:00 PM – 9:00 PM. Online via Zoom.

MITB Coffee Session (Singapore)

Public Events RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbcsscis0926. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Information Technology & Systems. Innovation & Entrepreneurship. International. Learning & Professional Development. Operations Management. Organisational Behaviour. Strategic Management. Law. Audience: Public. Wednesday, September 2, 2026, 7:00 PM – 8:00 PM. In-Campus SMU School of Computing and Information Systems Limited seats available!

SMU Masters Day

Public Events Subtitle: SMU Masters. World Class Masters. Fee(s): Complimentary. Contact: masters@smu.edu.sg. Speaker Details: Ready to elevate your career? Whether you're looking to deepen your expertise, pivot into a new field, or gain a competitive edge in today's global economy, SMU Masters Day 2026 is your opportunity to explore what's possible. 📅 Save the Date: 26 September 2026, Saturday 📍SMU Yong Pung How School of Law 💼 What to Expect Spend the day immersing yourself in everything you need to make an informed postgraduate decision. ✅Explore SMU's 18 industry-relevant Masters programmes … RSVP: . Type: Ceremonies & Special Events. Conferences & Symposiums. Exhibitions. Information Sessions. Lectures. Seminars & Workshops. Talks & Forums. Social & Networking. Subject: Accounting. Analytics for Business, Consumer & Social Insights. Arts & Culture. Business. Communication & Marketing. Economics. Information Technology & Systems. Finance & Financial Markets. Innovation & Entrepreneurship. International. Law. Leadership. Learning & Professional Development. Operations Management. Organisational Behaviour. Public & Community Service. Social Sciences & Humanities. Strategic Management. University Events. Urban Management & Sustainability. Audience: Public. Alumni. Academic Community. Current Student. Incoming PG Students. Incoming Students. Partners. Professionals. Prospective Student. SMU Faculty & Staff. Saturday, September 26, 2026, 11:30 AM – 6:00 PM. SMU Yong Pung How School of Law 55 Armenian Street, Singapore 179943.