Geoffrey Fox, Chair ISE, gcf@indiana.edu Indiana University School of Informatics and Computing ISE: Intelligent Systems Engineering Geoffrey Fox, Chair ISE, gcf@indiana.edu November 18, 2016

Indiana University Bloomington Intelligent Systems Engineering Small, focused program with in 6 years ~40 faculty, and summed over entry years: 500 undergraduates, 300 Masters students and 165 PhD Students Motivations: Indiana economic development: 2014 report by Battelle funded Lilly Endowment explicitly recommended that IU Bloomington form an engineering program IU Bloomington’s strong programs in computer science, informatics, biology, chemistry, environmental science, physics and psychological and brain sciences would be strengthened by complementary engineering offerings Approved August 13 2015 and so little time to advertise for new Fall 2016 faculty and students

Intelligent Systems Engineering Structure

ISE Structure and Timeline ISE is a Department in School of Informatics and Computing with close ties to other academic units, including possible joint faculty appointments Initial group of faculty hired from outside over ~5 years supplemented by transfer appointments of current IU faculty; cluster hires in focal areas, partnerships with current IU faculty Will be situated in 4th floor of new Luddy Hall plus research laboratories elsewhere – probably in ISAT renamed MESH (originally Cyclotron building). Currently in Smith Research Center (across from CIB) and CREST building on Walnut Have already Undergraduate and PhD students Investigating Collaboratory that will include Industry Partners and Advisory board Plan to submit MS proposal during next academic year, with hope of offering degree for students entering spring 2018

What’s in a name Intelligent Systems: Systems often present traditional Data ….. Information ….. Knowledge pipeline where engineered hardware gathers data and they are converted to information. The intelligent system converts information to knowledge and is essential in a complete engineered system. An example is self driving cars (drones) where lidar, camera, ultrasonic sensors use deep learning (intelligent system) for auto-pilot Here ISE instruction includes machine-learning and clouds Cyber-physical Systems: this refers to areas like robotics and the Internet of Things IoT where 50 billion things are predicted by 2020. Many reports on Smart X (X=Cities to vehicles) are built on IoT This includes embedded systems, streaming data driven control Modelling and Simulation: Several ISE fields involve increasing use of modelling and simulation as in nano (materials genome), bio (virtual tissue, molecular dynamics), CE (new computer designs) …. Graduate and undergraduate modules being developed

B.S. in Intelligent Systems Engineering Two initial tracks: computer engineering (CE), cyber-physical systems (CPS) Core covers the basics of CE and CPS, modelling and simulation and Intelligent Systems (Big Data, Machine Learning, Clouds) in 36 credits plus 15 credits common advanced CE+CPS module including 6 credits electives 18 credits (6 courses) separate in each track CE and CPS Gen-Ed 21 credits, Math-Science 30 credits Opportunities for entrepreneurship, research and internships. Will apply for ABET accreditation CE track has depth of coverage competitive with other major universities; 69 credits much larger than other programs in SOIC but total still 120. Breadth different (and better!) than CE programs at other universities CPS offers expertise in important new fields (IoT, Robotics) opening up Intend to add specializations in bioengineering, nano-engineering with 33 credits from ISE/COAS on top of 36 credit core Start in Fall 2016: ~23 new students enrolled with 3 ISE specific courses

Ph.D. in Intelligent Systems Engineering Seven tracks: computer engineering, cyber-physical systems, bioengineering, nano-engineering, environmental engineering, neuro- engineering plus intelligent systems Start Fall 2016 with 15 outside students plus 8 Transfers from other IU programs 13 CE/IS (2 from Crane) 6 CPS/IS 1 Bio-engineering 1 Nano-engineering 1 Neuro-engineering 1 Environmental engineering

ISE Faculty I 5 Founding Faculty – all tenured (associate/full) professors and leaders of some of major research centers in SOIC Geoffrey Fox; Current Chair, CPS, Intelligent Systems: Data Analytics, Parallel computing, Physics James Glazier; Bio-engineering: Biocomplexity, Virtual Tissue, toxicity Judy Qiu; CE, Intelligent Systems: Big Data, Cloud and Parallel Computing Thomas Sterling; CE, CPS: Electrical Engineering, Extreme Scale high performance hardware/software Martin Swany; CE: Embedded Systems, Network design and monitoring, distributed data 184 Applicants for faculty last year; we interviewed several and 5 new faculty have joined dept. with 2 more on January 2017. 1 Intelligent Systems Eng 1 Computer engineering 2 Bio-engineering 2 Nano-engineering 1 Neuro-engineering

ISE Faculty II Lei Jiang, CE: HPC hardware studies: undergraduate Computer science, masters and PhD (Pittsburgh) in Computer Engineering; industry work with AMD as Senior Design Engineer. Minje Kim, Intelligent Systems: signal processing & machine learning in multimedia area; Undergraduate and Masters in computer engineering; PhD (UIUC) in Computer Science. Vikram Jadhao, Nanoengineering: using HPC simulation; Physics degrees (UIUC PhD); Postdocs in Department of Materials Science and Engineering at Northwestern, Physics at JHU. Alexander Gumennik, Nanoengineering; Intelligent fibers and 3D printing; Physics and Math Undergraduate, Applied Physics Masters and PhD (Hebrew University), Postdoc in MIT's Department of Materials Science and Engineering, Industry Process Engineer in 3D printing startup.

ISE Faculty III Eleftherios Garyfallidis, Neuroengineering: with software lab for MRI imaging; Undergraduate degree in Computer Science; Masters in Brain & Mind Sciences, PhD in Cognition and Brain Sciences (Neuroscience Cambridge). Maria Bondesson-Bolin, Bioengineering: Systems biology and computational toxicology and experimental imaging analysis; Undergraduate degree in biology, PhD and research position in Department of Cell and Molecular Biology Karolinska Institutet, Sweden; Research Assistant Professor at Department of Biology and Biochemistry (Univ. Houston). Paul Macklin, Bioengineering: Modeling and data analysis for medical applications including cancer; Undergraduate degree in Mathematics, Graduate degrees in Industrial, Computational and Applied Mathematics (PhD, UC Irvine); now in USC School of Medicine. Katy Borner, Intelligent Systems: IU distinguished professor, data analysis and visualization, particularly in the areas of science and technology studies.

Need to create ~50 new courses in 4 years Given new undergraduate and graduate curriculum, we need to create around 50 new courses and timescale is roughly 4 years as by then will have undergraduate, masters and PhD over all years of study Constraint that faculty need to remain and extend leading edge status in research; all junior faculty expected to submit NSF CAREER proposals – hopefully at end of first year Constraint that will need all these courses before enough faculty hired Approach: use a mix of faculty and lecturers and courses captured in video (online/MOOC technology) with faculty leading design e.g. last year I had 220 graduate students in my two courses, which used OpenEdX plus 70 hours of video and Cloud Computing software laboratory (flipped classroom model) Offered by adjunct faculty this year Have hired “Director of Curriculum” and will add lecturers into ISE Faculty will spend more time designing and less time delivering

Some Logistics of Engineering in 2022 39 Faculty covering 7 areas with core and IT concentrations: 9 CE 7 CPS 5 IS plus non-IT concentrations 8 Bio 5 Nano 3 Neuro 2 Env Around 20 lecturers 500 Undergraduates, 300 Masters, 165 PhD students 7 teaching laboratories: Engineering Intro, CE, 1-2 CPS, Nano, Bio, Modelling (visualization) 10 major research laboratories (Bio, Nano, CPS, CE) with specialized equipment (startup would be around $1.5M each) 10-15 “research centers” including software laboratories External Funding ~$20M per year including major externally funded centers The department will encourage and support faculty collaborating on major projects Undergraduate Research Initiative

Proposed ISE Collaboratory Collaboratory: Bill Wulf Virginia 1989: an environment where participants make use of computing and communication technologies to access shared instruments and data, as well as to communicate with others. We intend to set up ISE with a Department and a Collaboratory. The Department would have all faculty whose tenure home is ISE The Collaboratory would initially have the current liaisons with rest of SOIC, COAS, SPEA etc. We have others wanting to join the Collaboratory, including the COAS Speech and Hearing Science department We intend an Industry consortium and organizations like Crane becoming involved with ISE through the Collaboratory, The ISE Collaboratory faculty and organizations would have a strong role in advising the Department on many academic matters. As ISE evolves we see the Collaboratory growing faster than department and to be home for interdisciplinary projects (such as Grand Challenges involving ISE) and host for many important discussions and meetings. Propose NSF Industry I/U CRC Program