Speaker: Edwin LeeansyahVenue: 2A-203, ZJE Building, Haining Campus

Speaker: Xiaochun RongVenue: Lecture Hall 210, Haina Complex Building 2, Zijingang CampusAbstract: Fixing E> 0, a complete Riemannian n-manifold M is called E-collapsed, if every unit ball in M has a volume <E. In Riemannian geometry, interplays between a collapsing geometry and topology has been an important component, and complexities in topology of a collapsed M is linked to a bound on curvature. Around 1980-2000, collapsedmanifolds of bounded sectional curvature was intensively studied by Cheeger-Fukaya-Gromov and many others, which has found several applications. In this talk, we will survey a development in the last decade in investigating collapsed manifolds of Ricci curvatureb ounded below and universal covering of every unit ball in M is not collapsed.

Speaker: TIAN KoumaoVenue: 4-311, Chengjun Court, Zijingang CampusAbstract: There is an argument that the ‘mind’ of another person is not hidden inside the skull, but is ‘seen’ directly in the body’s behavior and interaction with others. This is called ‘direct social perception’ (DSP), a concept proposed in the field of phenomenology. Based on this idea, if AI and robots can achieve behavior indistinguishable from that of humans (beyond a certain level), we are forced to see a ‘subject’ with whom we can interact. In this talk, I will point to the passive generation of an enactive intersubjective loop as the condition that makes DSP possible, and argue that this level diverges from the level of active reasoning when interacting with AI. Then, I believe that artificial life-like ‘fragility’ and ‘precariousness’ are necessary for the interaction with artificial subjects to go one step deeper. Finally, I will consider the future of coexistence with AI, distinguishing between the future in which fragile life-like AI incorporating ‘death’ is born and the future in which it is not.

Speaker: ZHANG JunjieVenue: Room 319/321, ZIBS Building, Haining Campus

Speaker: Minghua ChenVenue: 418, Teaching Building No.4, Yuquan CampusAbstract: The Optimal Power Flow (OPF) problem aims to minimize power generation costs while meeting grid demand and adhering to physical constraints, serving as a pivotal challenge in power system operations, its applications span electricity markets, reliability assessments, and grid modernization for carbon neutrality, with global annual operational costs reaching billions of USD. Traditional iterative solvers struggle with large-scale OPF due to its non-convex and NP hard nature.Recent advances in machine learning (ML)have accelerated OPF solutions by orders of magnitude through techniques like constraint classification, warm-start solutions, and direct load-to-solution mapping, while maintaining accuracy.This tutorial explores cutting-edge ML applications in OPF, including active constraint identification, solver strategy learning, and cross-domain optimization generalization.Future directions for enhancing computational efficiency and robustness under increasing renewable energy uncertainty are also discussed.

Venue: Lecture Hall, ZJU Museum of Art and Archaeology, Zijingang CampusSpeaker: Alba Di LietoProfessor Di Lieto served as executive architect for the City Museums of Verona, Italy, until 2022, where she was responsible for exhibition design and the Carlo Scarpa Archive. She has also collaborated on the restoration, conservation, and design of Verona’s museums, including the Archaeological Museum at the Roman Theater, the Towers of Castelvecchio, and the new wing and the garden of the Frescoes Museum “G.B. Cavalcaselle at Juliet's Tomb. Around the 1960s, the Venetian architect, Carlo Scarpa (1906-1978) carried out an innovative critical restoration of the monument, creating a spectacular exhibition design integrated and in continuity the museum's fine art collection. His museographical approach has since inspired contemporary artists and architects such as the American Peter Eisenmann, the German Herbert Hamak, the Polish Igor Mitoraj, and the Italians Maria Morganti and Giorgio Vigna. This lecture will be based on Professor Di Lieto`s direct experience during her service at the City Museums of Verona, Italy. Since the Eighties, she has collaborated with artists and architects on numerous exhibitions, many of which have been realized inside the Castelvecchio Museum, as well as in its garden. The talk titled “The Continuity of Exhibit-Design in the Castelvecchio Museum, (or in the City Museums) in Verona-Italy” explores the results of these experimental projects. Each site-specific art installation, despite its unique character, is conceived through the lens of Scarpa's design language, achieving a new balance between space, objects and innovative display solutions.

Speaker: YU JunVenue: Haina Court 2-203, Zijingang CampusAbstract: Given a semisimple real linear group, a zonal spherical function is matrix coefficient associated to the unique spherical vector with value 1 at identity element in a unitary spherical principal series, which are important object in representation theory and harminic analysis. Each zonal spherical function is a positive function. Hence, its Fourier transform along a maximal split torus is everywhere non-negative by a classical theorem of Bochner. In this talk we report a result in a recent joint work: the Fourier transform along a maximal split torus of any zonal spherical function takes positive value everywhere.

Speaker: CAI ShiqingVenue: 2A-203-3, ZJE Building, Haining CampusAbstract: Dr. Shi-Qing Cai obtained his PhDdegree from Shanghai Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, and did his postdoctoral training at Robert Wood Johnson Medical School, Rutgers University, His postdoctoral work mainly focused on the oxidative regulation of potassium channels in the aging nervous system. He joined Institute of Neuroscience, Chinese Academy of Sciences, in 2009. Currently, his study aims to understand 1)the neural basis of healthy aging;2)the mechanism underlying ion channel biogenesis including folding, assembly and trafficking.

Speaker: Dr. Bo LuVenue: LTNA 226, Haining CampusAbstract: With the rapid development of surgical robot technology in recent years, specialized robotic platforms are gradually being adopted across various hospital departments.To enhance the efficiency of online diagnosis and treatment with surgical robots and reduce the clinical workload of surgeons, intelligent autonomous surgical robots have become a prominent research focus. This talk will address technologies such as surgical intelligent perception, autonomous navigation, skill learning, and autonomous manipulation. Focusing on application scenarios like laparoscopic surgery, gastrointestinal surgery, and panvascular surgery, it will explore key technologies including autonomous suturing and knot-tying, endoscopic autonomous control, intelligent surgical navigation, embodied learning, and robotic system generation. The report will also introduce specific applications of robotic intelligence in surgical subtasks and discuss future trends in AI + robotics technology.