Building the Future of the Skolkovo Institute of Science and Technology

Fall 2013 Professor Lineup Announced


With the start of the new academic year approaching, Skoltech has announced its lineup of professors for the Fall 2013 Semester. In the fall semester, all students will take the Ideas to Impact and Systems Optimization courses, while the remaining classes (Energy, Physics & Technology, Global eDMP, Machine Learning, and Great Computational Methods) will be attended based on which Masters program a student decides to pursue. The upcoming class of 47 students will choose between a two year program in either Information Science and Technology or Energy Science and Technology.

Additional professors who have expressed their interests in teaching various courses may be added to this list in the upcoming weeks.

Systems Optimization



Brian W. Anthony, PhD

Dr. Anthony is the Director of MIT’s Master of Engineering in Manufacturing Program, Co-Director of the Medical Electronic Device Realization Center, and Lead for Education for the MIT Skoltech Initiative. With over 20 years’ experience in product realization ( Dr. Anthony won an Emmy (from the Academy of Television Arts and Sciences) in broadcast technical innovation) Dr. Anthony looks at designing instruments and techniques to monitor and control physical systems. His work involves systems analysis and design, calling upon mechanical, electrical and optical engineering, along with computer science and optimization, to create solutions.

The focus of Dr. Anthony’s research is in computational instrumentation, the design of instruments and techniques to measure and control complex physical systems. His research includes the development of instrumentation and measurement solutions for manufacturing systems and medical diagnostics and imaging systems.

In addition to his academic work, he has extensive experience in market driven technology innovation, product realization, and business entrepreneurship and commercialization at the intersection between information technology and advanced manufacturing. His teaching interests include the modeling of large-scale systems in a wide variety of decision-making domains and the development of optimization algorithms and software for analyzing and designing such systems.


Victor Lempitsky

Victor Lempitsky is an assistant professor at the Skolkovo Institute of Science and Technology (Skoltech), a new research university in the Moscow area. Prior to that, he was a postdoctoral researcher at the Visual Geometry Group of Oxford University, and the Computer Vision group at Microsoft Research Cambridge. He also was a researcher at Yandex, the largest Russian internet search company. Victor holds a PhD ("kandidat nauk") from Moscow State University (2007). His research interests are in various aspects of computer vision (visual recognition, image understanding, fine-grained classification, visual search) and biomedical image analysis.



Energy, Physics, and Technology



Konstantin Turitsyn

Konstantin Turitsyn holds the position of Assistant Professor on the department of Mechanical Engineering at Massachusetts Institute of Technology. He received his PhD degree in theoretical physics at Landau Institute of Theoretical Physics and held the positions of Rice-Kadanoff postdoctoral scholar at University of Chicago, and Oppenheimer fellow at Los Alamos National Laboratory before joining MIT. His research is currently focused on nonlinear and stochastic dynamics of large scale complex systems with applications in power systems, statistical physics and fiber optics.



Ideas to Impact



Violetta Gerasymenko

Violetta Gerasymenko is an Assistant Professor of Entrepreneurship and International Business at Nova School of Business and Economics. She received her PhD from HEC Paris.

Her research is under ‘revise and resubmit’ in such journals as Strategic Management Journal, Journal of Business Venturing and Journal of Management Studies. She has published in the Frontiers of Entrepreneurship Research journal and numerous book chapters in both French and English. Her research has won several prestigious awards such as Excellent Paper award at the International Conference on Innovation, Management and Service 2011 for her paper with D.De Clercq and H. Sapienza, named “What is the impact of venture capital firms on the effectiveness of business model change of their portfolio companies?” and best paper award in the area of innovation from the Ministry of Finance in France, 2008, for her work “Venture capital and young innovative start-ups in France” (FutuRIS, 2008). She holds an international foreign faculty position at MIT Sloan, and visiting scholar positions at the National University of Singapore and NYU Stern.

Gerasymenko teaches Entrepreneurship, Entrepreneurial Finance and International Business at Nova SBE in the undergraduate and graduate programs. She also taught Strategy and Entrepreneurship in France, China and the USA in graduate, MBA and PhD programs. Prior to joining Nova SBE, she gained investment experience in one of the major venture capital funds in France. She is an Investor Jury member in Europe Unlimited, the biggest elevator pitch competition event in Europe.

Rory O'Shea

Rory O'Shea is a visiting Assistant Professor in Innovation and Entrepreneurship at the MIT Sloan School of Management. Rory is also a tenured faculty member at the Smurfit Graduate School of Business, University College Dublin, Ireland.

His research is primarily focused on the commercialization of academic research, with a particular emphasis on the optimal organizational and financial mechanisms for transferring university-based IP into knowledge-based start-ups. He also studies the clustering effect of high tech regions with a particular focus on the interface of university-industry-government relations. Rory’s other research area examines the critical junctures and resource assembly processes in the creation and development of technology-based ventures.

Rory teaches courses in the area of New Venture Finance, Technology Strategy and Entrepreneurship. He has a particular interest in the entrepreneurial education of undergraduate and postgraduate scientists and engineers.


Machine Learning



Jacob White

Professor Jacob K. White is a principal investigator of the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT). Professor White is a pioneer in numerical methods, particularly in computational prototyping tools and techniques for integrated circuit interconnect, circuit packaging, and micromachined devices.

Major contributions by Professor White's research at RLE include computationally efficient numerical techniques used to simulate complicated three-dimensional structures. Applications of these techniques include the electrostatic and fluidic analysis of sensors and actuators, electromagnetic analysis of integrated-circuit interconnects and packaging, and potential flow-based analysis of wave-ocean structure interaction. Professor White's current research interests include serial and parallel numerical algorithms for problems in circuit, interconnect, and microelectromechanical system design.

Professor White received his undergraduate degree in electrical engineering and computer science from MIT in 1980, his masters degree in 1983 and his doctorate from the University of California, Berkeley in 1985 in the same discipline. He worked at the IBM T. J. Watson Research Center from 1985 to 1987. He joined the MIT faculty in 1987 as assistant professor in EECS, becoming associate professor in 1991 and full professor in 1996. In December of 2001, Professor White was appointed as an Associate Director of the Research Laboratory of Electronics at MIT.


Global eDMP



Amy Glasmeier

Dr. Amy K. Glasmeier holds a professional masters and PhD in City and Regional Planning from the University of California, Berkeley. In spring 2009, she became the Department Head of Urban Studies and Planning at MIT. She simultaneously serves as a professor of economic geography and regional planning and teaches courses or regions, technology and economic development. Among her numerous books, Manufacturing Time: Global Competition in the World Watch industry (2000), 1750-2000, provides considerable perspective on how different modes of industrial organization and how different varieties of capitalism yield varying levels of competitive success of national systems of industrialization. Other publications include four books, more than 150 articles, book chapters, and policy documents. She continues to research topics related to organizational learning, regional competitiveness and technology development. Her analytic specialties include spatial economics and geocomputation, social science research methods, and policy analysis. She is a member of MIT’s energy initative (MITEI) and is co-director of MITEI's undergraduate minor in energy studies. Her work on energy includes studies of sectors, regions, and technologies. She has advised, local, state and federal officials on energy policy. Her current research compares energy systems and policy US, China and Russia.


Great Computational Methods



Luca Daniel

Luca Daniel is an Associate Professor in the Electrical Engineering and Computer Science Department of the Massachusetts Institute of Technology (MIT). Prof. Daniel received his Ph.D. in Electrical Engineering from the University of California, Berkeley, in 2003. In 1998, he was with HP Research Labs, Palo Alto. In 2001, he was with Cadence Berkeley Labs.

Dr. Daniel research interests include development of integral equation solvers for very large complex systems, stochastic field solvers for large number of uncertainties, and automatic generation of parameterized stable compact models for linear and nonlinear dynamical systems. Applications of interest include simulation, modeling and optimization for mixed-signal/RF/mm-wave circuits, power electronics, MEMs, nanotechnologies, materials, MRI, and the human cardiovascular system.

Prof. Daniel has received the 1999 Institute of Electrical and Electronics Engineers Transactions on Power Electronics best paper award; the 2003 best PhD thesis awards from both the Electrical Engineering and the Applied Math departments at UC Berkeley; the 2003 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation; 5 best paper awards in international conferences, 8 additional nominations for best paper award; the 2009 IBM Corporation Faculty Award; and the 2010 IEEE Early Career Award in Electronic Design Automation.