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Joint

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Murat Arcak

Arcak

Professor of Mechanical Engineering
Professor of Electrical Engineering

Professor of Mechanical Engineering
Professor of Electrical Engineering

569 Cory Hall
University of California, Berkeley
Berkeley, CA 94720-1770
arcak@berkeley.edu
(510) 642-4804

For more information see: Arcak Lab
Current Classes Taught

Professor Murat Arcak received the B.S. degree in Electrical Engineering from the Bogazici University, Istanbul, Turkey (1996) and the M.S. and Ph.D. degrees from the University of California, Santa Barbara (1997 and 2000). He received a CAREER Award from the National Science Foundation in 2003, the Donald P. Eckman Award from the American Automatic Control Council in 2006, the Control and Systems Theory Prize from the Society for Industrial and Applied Mathematics (SIAM) in 2007, and the Antonio Ruberti Young Researcher Prize from the IEEE Control Systems Society in 2014. He is a member of SIAM and a fellow of IEEE.


Research Description:

Dynamical systems and control theory with applications to synthetic biology, multi-agent systems, and transportation.

 

Key Publications:

To view a list of Professor Arcak’s publication, please click here.

Dorian Liepmann

Liepmann

Professor of Mechanical Engineering and BioEngineering

280 Hearst Memorial Mining Building
University of California at Berkeley
Berkeley, CA 94720-1762
liepmann@berkeley.edu
(510) 355-8353

For more information see: Liepmann Lab
Current Classes Taught

Research Description:

BioMEMS, microfluid dynamics, experimental biofluid dynamics, hemodynamics associated with valvular heart disease and other cardiac and arterial flows.

 

Key Publications:

2015

  • Paredes, J., Fink, K.D., Novak, R. and Liepmann, D. (2015) “Self-anchoring nickel microelectrodes for rapid fabrication of functional thermoplastic microfluidic prototypes.” Sensors and Actuators B: Chemical, 216:263-270.
  • Aran, K., Paredes, J., Rafi, M., Yau, J., Acharya, A., Zibinsky, M., Liepmann, D., and Murthy, N. (2015) “Stimuli-Responsive Electrodes Detect Oxidative Stress and Liver Injury.” Advanced Materials, 27(8), 1432.
  • Viswanathan, S., Narayanan, T.N., Aran, K., Fink, K.D., Paredes, J., Ajayan, P.M., Filipek, S., Miszta, P., Tekin, H.C., Inci, F., Demirci, U., Li, P., Bolotin, K.I., Liepmann, D. and Renugopalakrishanan, V. (2015) “Grephene-protein field effect biosensors: glucose sensing.” Materials Today, http://dx.doi.org/10.1016/j.mattod.2015.04.003

 

2014

  • Aran, K., Paredes, J., Yau, J., Srinivasan, S., Murthy, N. and Liepmann, D.  (2014) “An Enzyme-Free Digital Biosensor for Detection of Reactive Oxygen Species.” The 18th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), San Antonio, TX. October 26-30, 2014
  • Paredes, J., Chooljian, M., Fink, K.D., and Liepmann, D. “Rapid fabrication method for plastic microfluidic devices with embedded 2D and 3D microelectrodes and its application to electroporation and cell lysis on chip.” The 18th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), San Antonio, TX. October 26-30, 2014
  • Aran, K., Paredes, J., Acharya, A., Yau, J., Liepmann, D. and N. Murthy. “A Novel ROS Responsive Polymer Based Lab-on-a-Chip Sensor for Detection of Circulating Lipid Hydroperoxides” BMES, San Antonio, TX, October 22-25, 2014.
  • Paredes, J., Fink, K.D., Chooljian, M., and D. Liepmann. “Integrating 2D and 3D Microelectrodes in Plastic Microfluidic Devices Allowing Spatial and Temporal  Control of Electric Fields for Detection or Stimulation.” BMES, San Antonio, TX, October 22-25, 2014.
  • Aran, K., Paredes, J., Lee, K., Acharya, A., Liepmann, D. and N. Murthy. “A Battery-less Pressure Driven Smart Pill for Oral to Systemic Protein Delivery.” BMES, San Antonio, TX, October 22-25, 2014.
  • Fink, K., Paredes, J. and Liepmann, D. (2013) The Role of Erythrocyte Size and Shape in Microchannel Fluid Dynamics. American Physical Society Division of Fluid Dynamics Annual Meeting, Pittsburgh, PA.
  • Kim, T. N., Goodwill, P. W., Chen, Y., Conolly, S. M., Schaffer, C. B., Liepmann, D., & Wang, R. A. (2012). Line-scanning particle image velocimetry: an optical approach for quantifying a wide range of blood flow speeds in live animals. PloS one, 7(6), e38590.
  • Gharib, M., Azizgolshani, H., Gharib, M., & Liepmann, D. (2011). Combined Electro-chemical Stimulation to Reduce the Required Current for Muscle Contraction. FASEB Journal, 25, 1051-39.
  • Gulati, S., Dutcher, C. S., Liepmann, D., & Muller, S. J. (2010). Elastic secondary flows in sharp 90 degree micro-bends: A comparison of PEO and DNA solutions. Journal of Rheology (1978-present), 54(2), 375-392.
  • Thakar, R.G., Cheng, Q., Patel, S., Chu, J., Nasir, M., Liepmann, D., Komvopoulos, K. and Li, S. (2009) Cell-Shape Regulation of Smooth Muscle Cell Proliferation. Biophysical Journal 96(8):3423-3432.
  • Häfeli, U. O., Mokhtari, A., Liepmann, D., & Stoeber, B. (2009). In vivo evaluation of a microneedle-based miniature syringe for intradermal drug delivery. Biomedical microdevices, 11(5), 943-950.
  • Gulati, S., Muller, S. J., & Liepmann, D. (2008). Direct measurements of viscoelastic flows of DNA in a 2: 1 abrupt planar micro-contraction. Journal of Non-Newtonian Fluid Mechanics, 155(1), 51-66.
  • Liepmann, D., Pisano, A., Stoeber, B., & Zimmermann, S. (2008). U.S. Patent No. 7,415,299. Washington, DC: U.S. Patent and Trademark Office
  • Gulati, S., Liepmann, D., & Muller, S. J. (2008). Elastic secondary flows of semidilute DNA solutions in abrupt 90° microbends. Physical Review E, 78(3), 036314.

 

To view a list of Professor Liepmann’s publications from previous years, please visit the Liepmann Lab website.

Robert O. Ritchie

Robert Ritchie

Professor of Mechanical Engineering
Professor of Materials Science & Engineering

216 Hearst Mining Memorial Building
University of California, Berkeley
Berkeley, CA 4720-1760
ritchie@berkeley.edu
510) 642-3803

For more information see: Ritchie Group
Current Classes Taught

To view Professor Ritchie’s CV, please visit the Ritchie Group website.


Research Description:

Metallic Glasses, Hypersonic Materials, Mixed Mode Fracture of Human Cortical Bone, Fatigue and Fracture of Mineralized Biological Tissue, Fatigue and Fracture of SiC at High Temperatures, Fatigue and Fracture of Biomedical Materials, Fatigue and Wear of Silicon Structural Films, Fracture and Fatigue of Mo-Si-B High Temperature Alloys, Grain Boundary Engineering in Promoting High-Cycle Fatigue Resistance, Mechanisms of Fatigue and Fracture of Metal/Ceramic Interfaces, NiTi Shape Memory Alloys for Biomedical Applications, Toughness in Brittle Materials: Atomic-resolution Studies of Fracture in SiC

 

Key Publications:

To view a complete list of Professor Ritchie’s publications, please visit the Ritchie Group website.

S. Shankar Sastry

Shankar Sastry

Professor of Mechanical Engineering
Professor of Electrical Engineering and Computer Sciences

University of California, Berkeley
Berkeley, CA 94720-1700
shankar_sastry@berkeley.edu

For more information see:

From 2004 to 2007, S. Shankar Sastry was the Director of CITRIS (Center for Information Technology in the Interests of Society) an interdisciplinary center spanning UC Berkeley, Davis, Merced and Santa Cruz. He has served as Chairman, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley from January, 2001 through June 2004. From 1999-early 2001, he was on leave from Berkeley as Director of the Information Technology Office at the Defense Advanced Research Projects Agency (DARPA). From 1996-1999, he was the Director of the Electronics Research Laboratory at Berkeley.

 

Dr. Sastry received his Ph.D. degree in 1981 from the University of California, Berkeley. He was on the faculty of MIT as Asst. Professor from 1980-82 and Harvard University as a chaired Gordon Mc Kay professor in 1994. His areas of personal research are resilient network control systems, cybersecurity, autonomous and unmanned systems (especially aerial vehicles), computer vision, nonlinear and adaptive control, control of hybrid and embedded systems, and software. Most recently he has been concerned with critical infrastructure protection, in the context of establishing a ten year NSF Science and Technology Center, TRUST (Team for Research in Ubiquitous Secure Technologies).

 

Dr. Sastry has supervised over 65 doctoral students and over 50 MS students to completion. His students now occupy leadership roles in several places and on the faculties of many major universities in the United States and abroad.


Research Description:

Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), Control, Intelligent Systems, and Robotics (CIR), Security (SEC)

 

Key Publications:

To view a list of Professor Sastry’s publications, please click here.

Somayeh Sojoudi

Assistant Professor-In-Residence of Mechanical Engineering
Assistant Professor-In-Residence of EECS

5114 Etcheverry Hall
University of California, Berkeley
Berkeley, CA 94720-1740
sojoudi@berkeley.edu

For more information see: Sojoudi Home Page
Current Classes Taught

Somayeh Sojoudi is an Assistant Professor-In-Residence in the Departments of Mechanical Engineering and Electrical Engineering & Computer Sciences at the University of California, Berkeley. She received her PhD degree in Control & Dynamical Systems from California Institute of Technology in 2013. She was an Assistant Research Scientist at New York University School of Medicine from 2013 to 2015. She has worked on several interdisciplinary problems in optimization theory, control theory, machine learning, data analytics, and power systems. Somayeh Sojoudi is an associate editor of the IEEE Transactions on Smart Grid and a member of the Conference Editorial Board of the IEEE Control Systems Society. She is a co-recipient of the 2015 INFORMS Optimization Society Prize for Young Researchers and a co-recipient of the 2016 INFORMS ENRE Energy Best Publication Award. She is a co-author of a best student paper award finalist for the 53rd IEEE Conference on Decision and Control 2014.


Research Description:

Control theory, optimization theory, machine learning, algorithms, and data science.

 

Key Publications:

To view a list of Professor Sojoudi’s publications, please click here.

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