UTC IASE welcomes new Assistant Professor Dr. Abhishek Dutta

September 7, 2016


UTC IASE welcomes new Assistant Professor Dr. Abhishek Dutta with a joint appointment in electrical and computer engineering and mechanical engineering departments. Abhishek Dutta’s research interests lie in the area of control systems and optimization with application to mechatronic systems amongst others. He has made fundamental contributions to the theory of model predictive control with implementation over various industrial systems and more recently in the field of cyber physical systems security. He is the author of numerous journal papers and has delivered many invited talks. He is currently involved in teaching related to systems engineering for UTC.

Prior to joining UConn, he was a postdoctoral research associate at aerospace engineering in coordinated science lab of the University of Illinois at Urbana-Champaign with Cedric Langbort. He holds a PhD in electromechanical engineering (model predictive control) under the supervision of Robin De Keyser at Ghent University and under the advise of Jan Maciejowski as a junior member of Wolfson College Cambridge. He has a MSc with distinction from the University of Edinburgh including an informatics prize for outstanding thesis and an European masters from the University of Trento with final mark 110/110. He has held research positions at Technical University Munich (electrical engineering) and Nanyang Technological University (mechanical and aerospace).

SAE Aerospace Systems and Technology Conference

August 24, 2016

George Bollas from UTC-IASE will be taking part as one of the members of the Systems Engineering Education Panel Discussion on September 28th from 1:30pm – 3:30pm. Representatives from Massachusetts Institute of Technology and Worcester Polytechnic Institute will also be in attendance. This Conference will take place in the Hartford Convention Center Monday September 26th – Friday September 30th. Please stop by and visit the UTC booth for more information.



UTC-IASE wins UConn Academic Plan Project:

July 27, 2016

Led by Professors George Bollas, Krishna Pattipati, Parasara Duggirala, and Ming-Hui Chen, the Bayesian Design of Tests for Fault Detection and Isolation in Complex Systems project has been awarded $200,000. This project aims to seed interdisciplinary and collaborative work on active methods for hard to detect and isolate faults in complex systems generating large amounts of heterogeneous data. In collaboration with United Technologies Aerospace Systems and with applications inspired by the aerospace industry, the investigators’ aim is to enable the cost-effective and safe operation of modern cyber-physical systems, such as transportation, commercial buildings, manufacturing, energy systems, and emergency response systems, which are all critical to the growth of the State’s industrial base. This project illustrates the indication of the penetration of the activities of UTC-IASE in the priorities of the University of Connecticut. The priorities of Level 1 Academic plan Projects are “to support strategic areas of emphasis that have already demonstrated promise and potential (metrics for success include number of students who may benefit from new educational and outreach programs, significant extramural funding support that involves inter-disciplinary groups of faculty partners, national recognition, etc.).” More information can be found here: http://academicvision.uconn.edu/

UTC-IASE attends INCOSE International Symposium in Edinburgh, Scotland:

Drs. Bollas and Jahangir attended the 2016 International Symposium of the nternational Council on Systems Engineering (INCOSE). INCOSE’s Annual International Symposium is the largest annual gathering of people who do systems engineering for four days of presentations, case studies, workshops, tutorials and panel discussions. The program attracts an international mix of professionals at all levels, and includes practitioners in government and industry, as well as educators and researchers. More info can be found here: http://www.incose.org/symp2016/home

UTC-IASE participates in winning proposal for a novel Clean Energy Smart Manufacturing Innovation Institute:

UTC-IASE has been named part of a new national coalition to coordinate research and development in smart manufacturing and energy efficiency, and will play a leading role in those efforts in Connecticut. The coalition, known as the Smart Manufacturing Innovation Institute, has been awarded $70 million from the U.S. Department of Energy that will be matched by private investments and is part of the administration’s effort to double U.S. energy efficiency by 2030. Find more info here: http://today.uconn.edu/2016/06/uconn-joins-national-smart-manufacturing-initiative/

UTC-IASE attends Mathworks Research Summit

June 6, 2016

Dr. Ebad Jahangir chaired the Education mini symposium at the MathWorks Research Summit where leading educators from across the globe presented and discussed future directions of computational education and thinking in university curricula.

UTC-IASE was invited by MathWorks to the fourth annual MathWorks Research Summit held June 4–6 at the Newton Marriott in Newton, Massachusetts. This invitation-only event serves to bring together inspiring peers from adjacent research areas and set directions that redefine the frontiers of research with impact and value. This multidisciplinary summit provides a forum for candid exchange with highly acclaimed thought leaders, industry and government experts, and MathWorks senior management about technical challenges, opportunities, and solution attempts to help focus and collaborate on promising research efforts.

The summit features lively discussions interspersed with exciting technical talks to disseminate knowledge, germinate ideas, inspire applications, discover successes in related fields, recognize trends, and identify research needs. Participants can also socialize and network with people who govern professional organizations, have experience in organizing research programs and projects, and share guidance on workforce teaching and training.

UTC-IASE to attend INCOSE International Symposium 2016

May 20, 2016

Professors George Bollas and Ebad Jahangir will be attending the INCOSE International Symposium 2016. They will engage with colleagues from the Systems Engineering community and share lessons learned on state-of-the-art methods and essential skills for Systems Engineers. UTC-IASE is a member of the INCOSE Corporate Advisory Board as well as its Academic Council.

INCOSE’s Annual International Symposium is the largest annual gathering of people who do systems engineering for four days of presentations, case studies, workshops, tutorials and panel discussions. The program attracts an international mix of professionals at all levels, and includes practitioners in government and industry, as well as educators and researchers.

Professor Krithi Ramamritham presents a distinguished lecture on smart technologies


Professor Krithi Ramamritham from Indian Institute of Technology, Bombay and formerly of the University of Massachusetts, Amherst, presented a distinguished lecture on smart technologies. Smart Energy solutions promise cleaner, cheaper and more reliable energy. Smart Cities promise better quality of life for its citizens. He argued that for a “system” to be SMART, it should Sense Meaningfully, Analyze and Respond Timely. Using real-world examples from the domains of Smart Energy and Smart Cities, this talk illustrated the central role of data in being SMART.

To view more details or a video of the lecture, please visit http://utc-iase.uconn.edu/events/lec-lib/dll2016/.

Professor Calin Belta gives a seminar on formal methods for dynamical systems

May 3, 2016

Professor Calin Belta from the Department of Mechanical Engineering, Department of Electrical and Computer Engineering, and the Division of Systems Engineering at Boston University, presented a seminar on formal method for dynamical systems at the UTC-IASE. Professor Belta, who is also affiliated with the Center for Information and Systems Engineering (CISE) and the Bioinformatics Program, talked about an increasing need for computational tools for verification and control of complex systems from rich, temporal logic specifications. In control theory, complex models of physical processes, such as systems of differential equations, are usually checked against simple specifications, such as stability and set invariance. In formal methods, rich specifications, such as languages and formulae of temporal logics, are checked against simple models of software programs and digital circuits, such as finite transition graphs. The formal verification and synthesis problems have been shown to be undecidable even for very simple classes of infinite-space continuous and hybrid systems. The focus of this talk was on discrete time linear systems, for which it was shown that finite abstractions can be constructed through polyhedral operations only. By using techniques from model checking and automata games, this allows for verification and control from specifications given as Linear Temporal Logic (LTL) formulae over linear predicates in the state variables. The usefulness of these computational tools was illustrated with various examples.

To view more details or a video of the seminar, please visit http://utc-iase.uconn.edu/events/sem-lib/sl2016/.

Professor Christos Georgakis presented a distinguished lecture on data-driven modeling

April 26, 2016


Dr. Christos Georgakis is a Professor of Chemical and Biological Engineering at Tufts University where he has also been the Bernard M. Gordon Senior Faculty Fellow in Systems Engineering. He described two generalizations of the classical design of experiments (DoE) methodology, the long-standing data-driven modeling methodology of choice. The first generalization enables the design of experiments with time-varying inputs, called Design of Dynamic Experiments (DoDE). The second generalization enables the development of a dynamic response surface model (DRSM) when time-resolved measurements are available. He discussed how both advances are able to contribute significantly to the modeling, optimization, and understanding of processes for which a knowledge-driven model is not easily at hand. He also argued that such approaches can be widely used in developing reduced-size meta-models, for online use in existing processes.

To view more details or a video of the lecture, please visit http://utc-iase.uconn.edu/events/lec-lib/dll2016/.