Integrated Networks for Electricity
Exploring the flow of electricity, information, and money in advanced power networks

Faculty Participants

Lehigh faculty actively engaged in the INE cluster include the following:

Arindam Banerjee Arindam Banerjee
Mechanical Engineering and mechanics
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Prof. Banerjee's interest/expertise lies in fluid dynamics in extreme environments (inertial confinement fusion), alternative energy applications (marine hydrokinetic energy), pulmonary-fluid dynamics and bio-heat transfer. His long term research goal is to understand underlying principles of turbulent flow control for improving efficiency of energy systems.

Prior to joining Lehigh University, Prof. Banerjee served in a similar rank at the Department of Mechanical and Aerospace Engineering at University of Missouri, Rolla. He has also worked as a postdoctoral fellow at Los Alamos National Laboratory in the Computational Physics Group (CCS-2).

Rick Blum Rick Blum
Electrical and Computer Engineering
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Rick Blum's research focus is on using Signal Processing and Communication theory to solve problems related to smart electrical grid systems. In one set of investigations, his group has been using hypothesis testing to detect failures and intrusions in smart grid systems. A smart electrical grid system implies the use of sensors at many nodes of the network. Each sensor gauges critical quantities and uses communication links to send these measurements to a control center. These measurements should be consistent with accurate mathematical models for these smart grid systems. Here, Prof. Blum's research attempts to detect failures or intrusions by detecting changes in the mathematical model describing the smart grid system that imply physical changes in the system or alteration of measurement packets. The results are new hypothesis testing methods which perform nearly as well as an unachievable optimum genie-based test that knows the exact value of the change in the mathematical model. Recent investigations imply that existing measurement devices, currently installed in the existing grid, can sample fast enough to achieve nearly identical performance to systems which sample much more rapidly in many scenarios of practical interest.

More recently, Prof. Blum has been studying joint design of the communications and the processing typically employed in the networks monitoring a power system. For example, his group has been examining the impact of imperfect communications on power flow calculations. Resource allocation and optimum processing of the original measurements are studied to achieve the most accurate calculations.

Liang Cheng Liang Cheng
Computer Science and Engineering
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Liang Cheng, associate professor of computer science and engineering, leads the efforts of Lehigh's LONGLAB (Laboratory of Networking Group) at Lehigh University. Cheng is an expert on networking systems, and his research interests related to smart grid include distributed real-time and embedded systems, system management and security. His work is supported by the U.S. National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), the U.S. Department of Energy (DOE), Pennsylvania Department of Community and Economic Development, Agere Systems, Inc. and East Penn Manufacturing Co., Inc.

Liang Cheng Mooi Choo Chuah
Computer Science and Engineering
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Mooi Choo Chuah, associate professor of computer science and engineering, runs the Wireless Infrastructure and Network Security Laboratory (WiNSLab) at Lehigh University. She is also the Co-Director of Lehigh's Computer Engineering program. Chuah is an expert on future wireless data system design. Her research group designs next generation internet features and security solution for heterogeneous networked systems. Her research interests related to smartgrid include designing next generation integrated information and power system that incorporates future internet features, security design for future integrated power systems e.g. features that enable secure sharing of power system measurements, communication and network protocols to facilitate smartgrid operations (e.g., demand response system, automatic control of voltage and frequency using PMU measurements.) Her research is supported by the U.S. National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), the Army Research Laboratory (ARL), Cisco etc.

martha Dodge Martha Dodge
Director, Energy Systems Engineering Institute
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Martha Dodge is director of the Energy Systems Engineering Institute (ESEI.) In this capacity, she coordinates research between energy industry organizations and ESEI student and faculty teams, leads recruiting for the ESEI's Professional Master’s program, solicits industry and government support, and organizes seminars and lectures from leaders in the field. Dodge also teaches core courses for the energy systems engineering program and supervises student projects that tackle real-world problems in energy and environment.

Martha retired from PPL Electric Utilities in October 2010, where she was Senior Director – Smart Grid. In this role she led PPL Electric's Smart Grid Strategy development and sponsored PPL Electric's $38 million Smart Distribution project. In her prior position, Martha led the PPL Electric Utilities Planning and Engineering department, including transmission, distribution, substation, protection, relay test, maintenance and distribution planning engineering, as well as project management. During her tenure, the department won a Smart Grid Investment Grant award for the Smart Distribution project, and developed a program to assess infrastructure aging system-wide, resulting in a $2 Billion/10-year replacement and upgrade program.

Martha earned a B.S.E.E. and an MBA from Lehigh and is a licensed Professional Engineer in Pennsylvania. She has 28 years of utility experience, which began in nuclear I&C design for the PPL Susquehanna nuclear plant before moving to PPL's transmission and distribution branch. She has broad experience in design and field engineering, as well as in system planning, including developing interconnection contracts, planning electrical system upgrades, and implementing open-access to PPL’s transmission lines.

Shalinee Kishore Shalinee Kishore
Electrical and Computer Engineering
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Shalinee Kishore is studying several aspects of smart grid systems, leveraging her expertise in Communications and Network Engineering. Her research group is designing communication and network protocols to facilitate smart grid objectives, such as demand response, load shaping, real-time flow measurements, grid visualization, etc.

In addition, her group is developing models and algorithms for smart energy management systems that facilitate demand responsive behavior at load sites. Part of this work examines the interface between demand responsive customers and the electricity market, e.g., studying how and when aggregation can aid in making effective demand response bids. Prof. Kishore is also interested in the role of energy storage systems in future power systems. In particular, she is studying the impact of storage systems on power flows and the electricity market, as well as how communication protocols can be designed to manage these systems at various scales.

Alberto Lamadrid Alberto Lamadrid
Email   |   Website

Alberto Lamadrid is an assistant professor of economics with Lehigh's College of Business and Economics, and he is associated with the University's Integrated Networks for Electricity research cluster. His interests lie at the intersection of energy and electricity economics, complex stochastic dynamic systems, and mechanism design.

His work focuses on the development of methodologies and tools that allow for study of the decision making process in the electrical network for operations, planning and regulation with large scale penetration of renewable energy sources.

His methods use continuous and discrete optimization, geographic information systems, statistical analysis and engineering models that reflect the physical behavior of the system.

Tiffany Jing Li Tiffany Jing Li
Elelctrical and Computer Engineering
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Tiffany Jing Li, associate professor of electrical and computer engineering, runs the Information and Communication Research (ICR) Laboratory at Lehigh University. Li's research interests fall in the general area of communication and network systems, with a focus on system reliability and efficiency (error correction coding, distributed source coding,  beam-forming, network coding, and user cooperation.) She and her group study wireline, RF wireless, free-space optical and visible light communications, with an application to a wide range of real systems including sensor networks, data storage systems, deep-space communication systems and "smart grid" advanced electricity networks. Her work in smart grid includes communication via power lines, distributed data sensing/collection/fusion, and fault tolerance and security of the system, leveraging her expertise in advanced coding technology. Her research is supported by the U.S. National Science Foundation (NSF), the Army Research Laboratory (ARL), the Pennsylvania Department of Community and Economic Development, and various industry concerns.

Nader Motee Nader Motee
Mechanical Engineering and Mechanics
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Nader Motee's research interests include a) design, control, and optimization of spatially distributed systems with applications to energy systems, b) design and complexity analysis of large biochemical reaction networks and, c) task planning and architecture design for networked multiple autonomous vehicles.

Motee has served as a Postdoctoral Scholar at the Caltech, and as Postdoctoral Research Fellow at UC Santa Barbara and at the University of Pennsylvania. He is a member of IEEE, and has been honored with the Certificate of Achievement fromk UCLA's Institute of Pure and Applied Mathematics. Motee is also recipient of the O Hugo Schuck Award for Theory from the American Automatic Control Council, and the Joseph. D'16 and Rosaline Wolf Award for Best Dissertation from UPenn's College of Engineering.

Ted Ralphs Ted Ralphs
Industrial Systems and Engineering
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Dr. Ralphs' research focuses mainly on various aspects of mixed-integer linear programming. He maintains a balance between theory, computation, and application, with an aim of bridging the gap between theory and practice. Projects explore theoretical and computational aspects and analysis of mixed-integer linear programs, including the implementation of parallel algorithms and the use of high-performance computing platforms. Dr. Ralphs tackles parallel processing challenges by writing "scalable" algorithms that determine how to move data around so each processor is always doing something useful to contribute to the overall computation.

Dr. Ralphs is a co-founder and co-director of the Computational Optimization Research at Lehigh (COR@L) Laboratory and chairs Lehigh's High-Performance Computing Steering Committee. Courses taught by Dr. Ralphs include an introduction to mathematical programming, integer programming, nonlinear programming, and algorithms in systems engineering.

Eugenio Schuster Eugenio Schuster
Mechanical Engineering and Mechanics
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Prof. Eugenio Schuster leads Lehigh University’s Laboratory for Control of Complex Physical Systems. He is an expert in control theory with emphasis on nonlinear and saturated control; distributed parameter control; system modeling and identification; fault detection and isolation; industrial automation. Current efforts focus on the application of advanced control techniques to complex energy systems, such as nuclear fusion reactors (control of plasmas and magnetohydrodynamic flows), coal-based power plants, and residential heating/cooling systems. He is particularly interested in dynamic control problems associated with the integration into the grid of distributed power sources, particularly those based on renewable resources (hydro, wind, solar, biomass, etc.), as well as in real-time, fault-tolerant optimization of energy generation and utilization. Prof. Schuster is currently serving as Chair of the IEEE Technical Committee on Power Generation and Control. The research work within his laboratory has been supported by the National Science Foundation (NSF), the U.S. Department of Energy (DOE), the Commonwealth of Pennsylvania's Department of Community and Economic Development through the Pennsylvania Infrastructure Technology Alliance (PITA), the New York State Energy Research and Development Authority (NYSERDA), and private companies.

Larry Snyder Larry Snyder
Industrial and Systems Engineering
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Larry Snyder's research uses tools from operations research (OR) to address a variety of optimization problems related to smart grids. His research group is developing optimization models and algorithms for dispatch and scheduling problems within the grid (both for service providers and for consumers) in order to design or react to demand-response programs, pricing structures, and other pricing signals that service providers use to shape load profiles. Another avenue of research involves location and dispatch of electricity storage devices (e.g., batteries) in the grid in order to level both the supply and the demand of electricity. Dr. Snyder’s smart grid research draws on his research expertise in mathematical models for supply chain management. His research on stochastic facility location and multi-echelon inventory optimization problems finds natural analogies in network design and storage optimization problems in smart grids.

Parv Venkitasubramaniam Parv Venkitasubramaniam
Electrical and Computer Engineering
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Parv's research interests are in the areas of network security and privacy. His research group uses tools from information theory and signal processing to analytically study the relationships among privacy and performance that arise in smart electrical grid systems. Significant information about consumers' daily activities is required to fully realize the benefits of smart metering and demand response systems, and this could be construed by consumers as a violation of their privacy. By developing quantitative measures for privacy in these contexts and applying tools from statistical signal processing and stochastic control, Parv's group studies the trade-offs between achievable privacy and quality of service metrics such as user fairness, cost benefits and efficiency.

Future Green Technologies:


Future Green Technologies: Challenges and Opportunities

Friday, September 6, 2013
Mountaintop Campus • Iacocca Hall

Registration | Agenda | Speakers