Engineering and Applied Science Richard M. Murray Chair, Division of Engineering and Applied Science http://www.eas.calt

1. Engineering and Applied Science Richard M. Murray Chair, Division of Engineering and Applied Science http://www.eas.caltech.edu/

2. Visible impact, out of proportion to size • Best faculty attracted to Caltech • Best students enrolled at Caltech • Unique approach, emulated by others GPS PMA • 84 faculty • 5 undergraduate programs, 317 students (46% of total) • 13 PhD programs, 408 grad students (39% of total) • Ranked in top ten in Ae, AMa, APh, CE, EE, ESE, ME http://www.eas.caltech.edu/ Materials & Devices Environment & Civil Mechanics & Aerospace Information & Communications Biology & Medicine CCE BIO HSS Richard Murray, Caltech

3. Materials & Devices [18] Environment & Earthquakes [15] Mechanics & Aerospace [29] Ae MS ME CE AM Information & Communications [31] ACM Biology & Medicine [5] EES APh BE CDS EE [ChE] CNS CS Integration of Research and EducationCaltech provides unique environment for multi-disciplinary research • Applied Physics • Applied and Computational Mathematics • Mechanical Engineering • Computer Science • Electrical Engineering • Materials Science • Civil Engineering • Aeronautics • Applied Mechanics • Control and Dynamical Systems • Environmental Science and Engineering • Biological Engineering • Computation and Neural Systems [N] = rough head count of faculty in each area, based on current research activities Richard Murray, Caltech

4. EAS Principles Visible impact, out of proportion to size Best faculty attracted to Caltech Best students enrolled at Caltech Unique approach, emulated by others EAS Strategies Focus research thrusts on selected areas with large potential impact Hiring plan that balances research opportunities with discipline needs Exploit the strengths of Caltech and integrate EAS into CIT (85  280) Support plans for teaching, facilities, outreach, and administration High Level Strategy • Question: How do we continue to maintain a leadership position in engineering and applied science in an increasingly competitive (academic) world? Richard Murray, Caltech

5. Current Thrusts • Information Science and Technology (BIO/CCE/HSS/PMA/EAS) • Hardware, architectures and “software” for novel substrates • Analysis and design of complex, interconnected systems • Biological Engineering (BIO/CCE/EAS) • Analysis and design of biologically-based systems • Nanoscale Systems (BIO/CCE/EAS/PMA) • Design and fabrication of materials, devices, and systems at atomistic scales • Global Environmental Science (CCE/EAS/GPS) • Fundamental understanding of the earth’s environment • Computational Science and Engineering (Institute-wide) • Modeling and analysis through simulation and computation • Integration across scales, model validation, uncertainty mgmt Richard Murray, Caltech

6. Connections and Linkages CACR, ASCI, Env. Sc. & Eng. (ESE) LIGO, Digital Sky, SIRTF, GriPhyN GALCIT, TeraVoxel, MRSEC, CIMMS MSC, Atmospheric chemistry (CCE) Protein Synthesis, Biological Imaging Vision New architectures and algorithms for petabyte scale computing Integrative multi-scale modeling and simulation Tight linkage to experimental science Strengths Center for Advanced Computing Research (CACR) Broad interest in computation around the Institute Approach Maintain leading edge infrastructure Tight ties to modeling activities New educational program for training students and researchers Computational Science and Engineering Richard Murray, Caltech

7. Faculty involvement EAS: Applied physics, applied math, computer science, electrical engineering PMA: condensed matter physics, quantum, nanoscience CCE: biological synthesis, chemistry BIO: neurobiology, developmental biology, genomics HSS: economic systems, electronic commerce Vision Fundamental research program in information science Span computing, communications, storage, interfaces, sensors, acqui-sition, displays, and interfaces Engineering principles for design of large-scale, interconnected systems Caltech Strengths Integrated comms, computing, control VLSI /architectures + devices Emerging substrates (PMA, BIO, CCE) Approach Fundamental research in information substrates and networked systems New IST Initiative to tie together research, education, and outreach Information Science and Technology Richard Murray, Caltech

8. Information Science and Technology Initiative Bio / Info Phys / Info Econ / Info IST Math / Info Lee Center for Advanced Networking Richard Murray, Caltech

9. Voice Traffic 1 TV Signal for everyone on earth Fiber speed Internet Traffic Lee Center for Advanced Networking • Center established in 1998 through the generous support of David Lee • Provides seed funding for new research, support for visitors and workshops • Ten faculty from five departments: APh, CDS, CS, Ec, EE • Serves as a model for other IST centers Rrom Lawrence Roberts, “Beyond Moore’s Law, Computer magazine, January 2000 Richard Murray, Caltech

10. Goals Understand how markets aggregate information The role of technology in that process Use that understanding to Design large-scale, interconnected, information aggregation and decision-making systems Make markets and organizations efficient and robust Create new mathematics, algorithms, and technology for markets, business enterprises, and electorates. Econ/Info: Social and Information Systems Laboratory Richard Murray, Caltech

11. Math/Info: Center for Information Mathematics • Goal Develop a common language for analyzing and synthesizing large scale information systems • Requires new mathematics • What are the fundamental objects that describe informational rep-resentations? • Is there a “dynamics” of infor-mation? • What is the best “topology” to use for analyzing information proces-sing systems? • Provide glue between other Centers Devices  Components  Systems  Markets Richard Murray, Caltech

12. 2003 NSF Medium ITR Proposal Michelle Effros, EE Babak Hassibi, EE Steven Low, CS/EE Richard Murray, CDS/ME Leonard Schulman, CS Main research thrusts Real-time information theory Theory for robust control of networks Packet-based control theory Computational complexity of networked systems Demonstration Testbeds Multi-Vehicle Wireless Testbed WAN in Lab Example: Information Dynamics for Networked Feedback Systems Figure 2. Multi-Vehicle Wireless Testbed Figure 3. Caltech WAN in Lab Architecture Richard Murray, Caltech

13. New Information Science Building Location near current Moore building Co-locate CS and ACM, near EE/CNS Expansion of MS/APh into Steele Shift of MS from Keck to Steele New/expanded nanofabrication facilities Expansion of Bio-Eng into Keck Co-location of BE activities in Keck Shift some ESE activities to Robinson Transfer of Jorgensen to ITS/CACR Expand CACR machine room space in basement of Jorgensen Possible steady state home for ITS Rehab of Mechanics Quad Upgrades for TOM, GUG, FIR, KAR Relocation of ME shop from Spalding EE CNS APh CDSAPhITS MS Env (CE) CS CACR (BE) ChE (ME) ME CE ACM GALCIT http://www.eas.caltech.edu/strategic_plan EAS Space Plan Existing Proposed CS EE (CNS) ACM (CDS) Info/(Bio) 134K sq ft APh 135K sq ft • Nano • APh • MS • (BE) ESEBE (CNS) Nano/Bio/Env ITS/ CACR CACR 40K ChE ME CE (CDS) 126K sq ft Mechanics ME/AM GALCIT Richard Murray, Caltech

14. Bio / Info Phys / Info Eco / Info IST Math / Info Lee Center for Advanced Networking EAS Principles • Visible impact, out of proportion to size • Best faculty attracted to Caltech • Best students enrolled at Caltech • Unique approach, emulated by others WANin Lab Richard Murray, Caltech