Assistant Professor of Electrical Engineering, SEECS
- Big Data, Cyber Security, Smart Grids
- Assistant Professor, College of Engineering & Mines
Biography. Dr. Prakash Ranganathan is currently an Assistant Professor of Electrical Engineering, and also the Director for Data Energy Cyber and Systems (DECS) Laboratory at the University of North Dakota (UND). His research activities involve identifying solution to challenges on topics in smart grids, cyber security, data science, uncertainty quantification in renewable energy.
He has over 12 years of higher education experience as an engineering educator, and as a Cyber Physical Systems (CPS) and Optimization researcher. He is currently serving in PI/Co-PIs for several grants (includes federal/state/industry/local) aggregating to over $2 million dollars in externally funded awards. Dr. Ranganathan also plays leadership role on cyber educational and research initiatives for North Dakota University System (NDUS). Dr. Ranganathan received the 2019's Founders Day Award for Creative work, College of Engineering and Mines (CEM) Dean’s Outstanding Faculty Award in 2018, North Dakota Spirit Faculty Achievement Award in 2013 from UND Alumni Foundation recognizing his significant contribution in teaching, research, and service. He is also a recipient of Public Scholar Award in 2014 from center for Community Engagement. He is also an IEEE Senior Member. He received his PhD in Software Engineering from North Dakota State University (NDSU) in 2013, and MS in Electrical Engineering in 2005 from NDSU. Dr. Ranganathan also play a mentorship role for several native American students and tribal college faculty across the tribal reservations in the State of North Dakota for the last 15 years to realize the benefits and significance of STEM careers.
Taught at UND
- EE 101 – Introductions to Electrical Engineering.
- EE 201 – Digital Electronics – A digital logic based design course.
- EE 206 (EE Majors) – Circuit Analysis – A sophomore level course covering basic circuit analysis techniques.
- EE 206 (Non EE Major) – Developed Labs for non-electrical engineering students.
- EE 304 – Computer Aided Measurements and controls – A junior level course covering computer based control using LabVIEW, MATLAB and C++ environment.
- EE 313 – Linear Electric Circuits.
- EE 314 - Signals and Systems
- EE 480 – Senior Design I
- EE 481 – Senior Design II
- Engr 100 – Introduction to Engineering for undecided students
- Engr 102 – Professional Assessment and Evaluation
Laboratories Taught and Developed
- EE 202 – Digital Electronics Lab
- EE 304 – C++ Laboratory
- EE 306 – Circuit Analysis l Lab
- EE 307 – Circuit Analysis II Lab (In progress)
- EE 308 – Junior Laboratory I
- EE 309 – Junior Laboratory II
Graduate Courses Taught/Under Development
- EE 490/590 – Wireless Sensor Networks
- EE 490 /590 - Advanced Linear Programming Models
- EE 490 / 590 - Smart Grid Architectures, and Control
- EE 490 / EE 590 -LabVIEW Fundamentals and Programming
- EE 611 - Emerging Cyber Threats and Defenses
- EE 623 - Introduction to Smart Grid
EE 750 - Intrusion Detection Algorithms
Smart grids, Cyber Security, data mining, forecasting, and Operations Research,
R. Vallakati, P. Ranganathan, Fault monitoring, detection and correction using synchrophasor measurements in modern power systems, IET Book titled " Synchronized Phasor Measurements for Smart Grids" ISBN: 978-1-78561-011-0, March 2017. IET Book Link!
A. Mukherjee, P. Ranganathan, Optimal reliability criterion index (ORC) for optimal placement of phasor measurement Units (PMU), " Synchronized Phasor Measurements for Smart Grids" ISBN: 978-1-78561-011-0, March 2017. IET Book Link!
P. Ranganathan and Kendall Nygard, "Design Models for Resource Allocation in Cyber-Physical Energy Systems" under the title Sustainable ICTs and Management Systems for Green Computing, pp, 111-121, IGI Global Publishers, May 2012. IGI Book Link!
Campion, P. Ranganathan, and S. Faruque, A Review and Future Directions of UAV Swarm Communication Architectures, Journal of Unmanned Systems, published Nov 2018. https://doi.org/10.1139/juvs-2018-0009
Klein, D. Bissing, Daisy Flora Selvaraj, Radha Krishnan, P. Ranganathan, Day-Ahead Energy Price Forecasting in the Iberian Market, IEEE Access, Accepted, 2019.
Nair, A.S., Hossen, T., Campion, M. P. Ranganathan et al. Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid, Technol Econ Smart Grids Sustain Energy (2018) 3: 15. https://doi.org/10.1007/s40866-018-0052-y
Angamuthu Chinnathambi, R.; Mukherjee, A.; Campion, M.; Salehfar, H.; Hansen, T.M.; Lin, J.; Ranganathan, P.A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets. Forecasting 2018, 1, 26-46, [pdf]. http://www.mdpi.com/2571-9394/1/1/3
E. Horton, P. Ranganathan, Development of a GPS Spoofing Apparatus to Attack a DJI Matrice 100 Quadcopter, The Journal of Global Positioning Systems (GLPS), SpringerOpen, 16:9 (2018) https://doi.org/10.1186/s41445-018-0018-3. GLPS springer
Campion, P. Ranganathan, H. Salehfar, Impact of Electric Vehicles on Residential Power Grid: An Educational Review, 2019 ASEE Annual Conference & Exposition, Tampa, Florida, June 16-19, 2019, Accepted.
A. S. Nair, T. Hossen, M. Campion, and P. Ranganathan, “Optimal Operation of Residential EVs using DNN and Clustering based Energy Forecast,” in 50th North American Power Symposium (NAPS 2018), 2018.
T. Hossen, A. S. Nair, S. Noghanian, and P. Ranganathan, “Optimal Operation of Smart Home Appliances using Deep Learning,” in 50th North American Power Symposium (NAPS 2018), 2018.
T. Hossen, A. S. Nair, R. K. A. Chinnathambi, and P. Ranganathan, “Residential Load Forecasting Using Deep Neural Networks (DNN),” in 50th North American Power Symposium (NAPS 2018), 2018.
L. Peterson, A. S. Nair, and P. Ranganathan, “Short-Term Forecast for Locational Marginal Pricing (LMP) Data Sets,” in 50th North American Power Symposium (NAPS 2018), 2018.
Radhakrishnan Angamuthu Chinnathambi, Mitch Campion, Arun Sukumaran Nair, Prakash Ranganathan, "Investigation of Price Feature Selection Algorithms for Day Ahead Markets, IEEE EPEC Conference, Toronto, Canada, October 2018.
Radhakrishnan Angamuthu Chinnathambi, Siby Jose Plathottam, Tareq Hossen, Arun Sukumaran Nair, Prakash Ranganathan, Deep Neural Neworks for Day-Ahead Price Markets, IEEE EPEC Conference, Toronto, Canada, October 2018.
Logan R. Peterson, and P. Ranganathan, “Evaluation of Virtual Operating Systems and Switches under Ring, Star and Tree Topologies for Streaming Large Data Sets.” Journal of Computer Networks, vol. 5, no. 1 (2018): 1-7. doi: 10.12691/jcn-5-1-1.
Jason Pollack, P. Ranganathan, ADS-B, GPS, IFF, Aviation Navigation Systems Security, The 17th International Conference on Security and Management (SAM'18): July 30 - August 2, 2018, Las Vegas, USA.
Jason Pollack, P. Ranganathan, Social Engineering and its Impacts on Critical Infrastructure: A Comprehensive Survey, The 17th International Conference on Security and Management (SAM'18): July 30 - August 2, 2018, Las Vegas, USA.
Seth Helgeson, Corbyn Robberstad, David Johnson, Neena Goveas, P. Ranganathan, Wireless Exploitation Through Keyboard Emulation, The 15th International Conference on Modeling, Simulation and Visualization Methods, (MSV'18: July 30 - August 2, 2018, Las Vegas, USA)
Seth Helgeson, Corbyn Robberstad, Jaya Preethi Mohan, Neena Goveas, Sumathy Easwaran, P. Ranganathan, A Comprehensive Survey on Wireless Vulnerabilities through the OSI, The 15th International Conference on Modeling, Simulation and Visualization Methods, (MSV'18: July 30 - August 2, 2018, Las Vegas, USA)
William Kayser, Steve Buchhop, Brian Morrow, Joseph Schwalb, Arun Sukumaran Nair, P. Ranganathan, Next Generation Transportation Vulnerabilities, The 16th International Conference on Embedded Systems, Cyber-physical Systems, and Applications, (ESCS'18): July 30 - August 2, 2018, Las Vegas, USA.
Abdiladif Said, Abdisalan Jama, Faysal Mahamud, Jaya Balaji, Neena Goveas, Sumathy Easwaran, . Ranganathan, Smart Home Vulnerabilities - A Survey, The 16th International Conference on Embedded Systems, Cyber-physical Systems, and Applications, (ESCS'18): July 30 - August 2, 2018, Las Vegas, USA.
M. Campion, P. Ranganathan, Identification of Critical Buses based on Betweenness-Centrality in a Smart Grid, 17th Annual Electric Power and Energy Conference (EPEC) Conference, Oct 22-25 2017, Saskatoon, Canada. [pdf]
A. Sukumaran, H. Salehfar, N. Kaabouch, and P. Ranganathan, Uncertainty Quantification of Wind Penetration and Integration into Smart Grid: A Survey, 49th North American Power Symposium (NAPS'17), West Virginia, WV, Sep 18-22 2017. [pdf]
S. Plathottam, H. Salehfar, P. Ranganathan, Convolutional Neural Networks for Power System Big Data Analysis,A Survey, 49th North American Power Symposium (NAPS'17), West Virginia, WV, Sep 18-22 2017. [pdf]
T. Hossen, P. Ranganathan et.al, Short-term Load Forecasting Using Deep Neural Networks, 49th North American Power Symposium (NAPS'17), West Virginia, WV, Sep 18-22 2017. [pdf]
A. Rosener, K. Koiner, P. Ranganathan, Uncertainty Quantification of Demand Response Datasets Using Peridynamics,49th North American Power Symposium (NAPS'17), West Virginia, WV, Sep 18-22 2017. [pdf]
A. Sukumaran, N. Kaabouch, P. Ranganathan, A Constrained Topological Decomposition Method for Next-Generation Smart Grid, IEEE Second International Conference on Electrical, Computer, and Communications Engineering Conference, 22-24 Feb 2017, Coimbatore, India.
K. Casagrande, J.Friederichs, C. Gonzalez, T. Humphres, Z. Tindall, R. French, and P. Ranganathan,
Cyber Attacks and Defense Framework for Unmanned Aerial Systems (UAS) Environment,
Journal of Unmanned Aerial Systems, Vol.3, pp.37-58, Dec 2017.
Eric Horton, P. Ranganathan, A software based smart grid framework for automated decision on resource allocation, topological control using OMNET++. International Journal of Smart Grid and Clean Energy,Vol 6, No. 4, October 2017. doi: 10.12720/sgce.6.4.233-251 [pdf]
Olivo, E., Campion, M. and Ranganathan, P. (2016) Data Compression for Next Generation Phasor Data Concentrators (PDCs) in a SmartGrid. Journal of Information Security, 7, 291-296. http://dx.doi.org/10.4236/jis.2016.75024.[pdf]
Radha Krishnan Angamuthu, Prakash Ranganathan, "Investigation of forecasting methods for the hourly spot price of the Day-Ahead Electric Power Markets", 2016 IEEE International Conference on Big Data (IEEE Big Data 2016), December 5-8 2016, Washington D.C. USA [pdf]
M. Campion, C. Bina, P. Ranganathan et.al. Predicting West Nile Virus (WNV) Occurrences in North Dakota using Data Mining Techniques FTC 2016 - Future Technologies Conference 20166-7 December 2016 | San Francisco, United States. [pdf]
J. Pagel, M. Campion, P. Ranganathan, "Clustering Analytics for Streaming Smart Grid Data sets", Power Systems Conference 2016 (PSC 2016), March 8-11, 2016, Clemson, SC. [pdf]
J. Hahn, C. Peterson, S. Noghanian and P. Ranganathan, "Optimization of swarms of UAVs," 2016 IEEE International Conference on Electro Information Technology (EIT), Grand Forks, ND, 2016, pp. 0793-0797.doi: 10.1109/EIT.2016.7535341 [pdf]
Vallakati, R., Mukherjee, A. and Ranganathan, P . (2015) Situational Awareness Using DBSCAN in Smart-Grid. Smart Grid and Renewable Energy, 6, 120-127. [ pdf ] http://dx.doi.org/10.4236/sgre.2015.65011
R. Vallakati, A. Mukherjee, and P. Ranganathan, "Preserving Observability in Smart Grid using Phasor Measurement Units by Optimal Redundancy Criteria (ORC), IEEE International Conference on DC Microgrids (ICDCM), Atlanta, June 7-10 2015.
Chris Turner, P. Ranganathan, A Communication Assisted Solution for a 138kV Distance Relay Misoperation, IEEE International Conference on DC Microgrids (ICDCM), Atlanta, June 7-10 2015.[pdf]
R. Mahmud, R. Vallakati, A. Mukherjee, P. Ranganathan and A. Nejadpak, 'A Survey on Attacks on Smart Grid Metering Infrastructures: Threats and Solutions", IEEE EIT Conference, Illinois, May 23-25 2015. [pdf]
S. J. Plathottam, H.Salehfar, P. Ranganathan, Equitable wind power scheduling in power system with multiple wind farms, IEEE Electro/Information Technology (EIT) Conference, May 2015.
S.J. Plathottam, P. Ranganathan, H.Salhefar, Unbiased optimal power flow for power systems with wind power generation, IET Journal of Electronic Letters, DOI:10.1049/el.2014.1843.[pdf]
Nick Gellerman, Prakash Ranganathan, et.al., User Interface for Situational Awareness for OpenPDC, 2014 IEEE PES 46th North American Power Symposium (NAPS 2014), Sept 7 -9 2014, Pullman, WA.[ppt] [pdf]
Prakash Ranganathan, Saleh Faruque, A 3 Tier Spectrum Management Scheme and Security Assessment in Synchrophasors, 2014 IEEE National Wireless Research Collaborbation Symposium(NWRCS 2014), May 15-16 2014, Idaho Falls, ID. [pdf]
2013 or earlier
S. Faruque, P. Ranganathan, A secure wireless spectrum control, Error correction scheme in Synchrophasors, Journal of Handheld Computing Research, Vol.5, Issue 3, pp. 49-59, July 2014, IGI Publishing, PA, USA. doi.10.4018/IJHCR.2014070103 [pdf]
P. Ranganathan, Kendall Nygard, Synchronization in wireless sensor networks, International Journal of Ubicomp (IJU), vol 2, April 2010. [pdf]
Prakash Ranganathan, K. Nygard, A Smart Agent Oriented Linear Programming (AOLP) architecture,2012 IEEE Annual Electric Power and Energy Conference (EPEC 2012), Oct 2012, London, Canada.[pdf]
K. E. Nygard, S. Bou Ghosn, M. M. Chowdhury, D. Loegering, R. McCulloch and P. Ranganathan, "Optimization models for energy reallocation in a smart grid," Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, Shanghai, 2011, pp. 186-190.[pdf]
Prakash Ranganathan, K. Nygard, Smart Grid Data Analytics for decision support, 2011 IEEE Annual Electric Power and Energy Conference (EPEC 2011), Oct 3-5 2011, Winnipeg, Canada.
Kaur Gagneja, Prakash Ranganathan, Kendall E. Nygard, Limiting transmit power of antennas in Heterogeneous Sensor Networks,IEEE EIT 2012 conference, Indianapolis, IN, May 6 2012.
Prakash Ranganathan, An optimal assignment and computing problem in Smart Grids, 2010 2nd International conference on Future Computing, Lisbon, Portugal, October 2010. [pdf]
K. Nygard, P. Ranganathan, Decision Support Independence in a Smart Grid ,ENERGY 2012 : The Second International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, St. Maarten, The Netherlands Antilles, March 2012. [pdf]
Steve Boughousn, Prakash Ranganathan et.al, Agent oriented Simulation for Self-healing Smart Grid, Prakash Ranganathan, IEEE International Smart Grid Communications Conference, Maryland, October 2010.[pdf]
Prakash Ranganathan, Kenneth Magel, Understanding Requirement Engineering from a Software agent modeling perspective" IEEE International Conference on Software Engineering and Service Science (ICSESS 2010), July 2010.
Kendall E. Nygard, Prakash Ranganathan, Implementing a Flexible Simulation of a Self-Healing Smart Grid, 2011 International Conference on Modeling, Simulation and Visualization Methods, July 18-21, 2011, Las Vegas, USA. [pdf]
Ranganathan, P., K. Magel, and K. Nygard, “UML design patterns in a Smart Grid,” in the Proceedings of the 26th International Conference on Computers and Their Applications (CATA 2011), New Orleans, March, 2011.[pdf]
Bryan Mesich, Matthew Piehl, William Perrizo, Greg Wettstein, P.Ranganathan, Extending Parallisim in a Collaborative filtering prediction system with openMPI, CATA Proceedings 2010. [pdf]
Prakash Ranganathan, Juan Li, Kendall Nygard, Multi-agent based system using ARM, International Conference on Electrical and Computer Engineering technology (ICCET 2010), April 2010, China.
Tate Carlson, Steve Bucchop,Evan Edwards, and Prakash Ranganathan and Reza Fazel-Rezai,Household Energy Aware Real-Time System (HEARTS): A Capstone Project Design, ASEE NORTH MIDWEST SECTION CONFERENCE, OCTOBER 18, 2013, Fargo, ND, 58102.
Scott Gabert, Jeffery Kaiser, Derek Synder, Prakash Ranganathan, and Reza Fazel-Rezai Data Acquisition and Control of Microgrid Using ZigBee, A Capstone Project Design, ASEE NORTH MIDWEST SECTION CONFERENCE, OCTOBER 18, 2013, Fargo, ND, 58102.
Prakash Ranganathan, "A Bloom's Online Assessment Test (BOAT) to assess Student learning outcome in a Distance Engineering Education course" 2nd International Conference on Computer Engineering and Technology (IEEE: ICCET 2010- to appear), 16-18 April 2010, China.
Prakash Ranganathan "A tool to teach remote engineering laboratories", Journal of Online Engineering Education, Vol.1, Issue No:1, Article 3. Prakash Ranganathan and Rajesh G. Kavasseri "A method for Flicker Severity Evaluation using the Hadamard Transform," Proc. Frontiers of Power - International Conference Stillwater, Oklahoma, September 2003.
Prakash Ranganathan, Richard Schultz, "Use of DAQ boards in conjunction with NXT for Measurement and Instrumentation application", 2009 ASEE Annual Conference and Exposition, June 14 -17 2009, Austin, Texas.
Prakash Ranganathan, "How to Design an engineering Syllabus with course objectives that satisfy ABET outcomes", International conference on Engineering Education (ICEE 2010), Poland. [pdf]
Prakash Ranganathan, Saleh Faruque, Richard Schultz, "A Method to measure battery Impedance using operational amplifier circuit in electrical engineering lab curriculum", ASEE North Midwest Sectional Conference, Milwaukee, WI, Oct 8-10 2009.
Prakash Ranganathan, Richard Schultz, Mojdeh Mardani, "Use of Lego Mindstorms in Engineering Education" Proceedings of the 2008 ASEE North Midwest Sectional Conference October 16-18 2008, Platteville, Wisconsin.
Prakash Ranganathan, "Effective e-learing tricks and strategies in Online and Hybrid courses", 7th European Conference on e-learning, Nov 6-8 2008, Agia Napa, Cyprus.
Prakash Ranganathan, Technical Report on Orthogonal Transforms, Master's Degree thesis, North Dakota State University, 2004.
College of Engineering and Mines (CEM) Dean's Outstanding Faculty Award, 2018.
North Dakota Spirit Faculty Achievement Award, 2013.
North Dakota Public Scholar Award, 2014.
Ph.D. in Software Engineering, North Dakota State University, Fargo.
M.S. in Electrical Engineering, North Dakota State University, Fargo.
B.E. in Electronics and Communications Engineering, University of Madras, Chennai, India.
UnderGraduate Director, Electrical Engineering Aug 2013- May 2018.
NSF Smart Grid Project - (Sep 2015 to Aug 2018)
Award Abstract #1537565
PI: Dr. Prakash Ranganathan, Co-PI: Dr. Naima Kaabouch
Topology Aware Resource Optimization and Uncertainty Quantification Energy Models for the Power Grid
The project focuses on the development, implementation, and evaluation of new and effective policies for topology aware resource allocation of energy resources under uncertainty. When a malfunction occurs in an electricity provisioning system, it is vitally important to quickly diagnose the problem and take corrective action to prevent outages. This project will support fundamental research to enhance both the proactive and reactive reliable operation of the smart grid without costly infrastructure investments. Specifically, this research project will show that controlling the grid's topology can enhance the grid's reliability and better manage resources. In addition, this research will develop the procedures required to find the most reliable grid topology in response to changes in energy demand. Thus, the primary societal impact of this research is to increase the capability to prevent and resolve unexpected blackouts, which account for approximately $90 billion in losses each year for U.S. businesses and consumers. This research involves several disciplines including power systems, parallel computing and optimization.
Integer Linear Programming models can overcome several limitations in the current topological aware models such as capacity planning, re-allocation and scheduling of resources. The research team will study a collection of mixed integer linear programming models designed to identify optimal combinations of supply sources, demand sites to serve, and the pathways along which the reallocated power should flow. The models explicitly support the uncertainty associated with alternative sources such as wind power. A simulator configured with multiple intelligent distributed software agents will be developed to support the evaluation of the model solutions. Applications of interest include (but are not restricted to) generator and load scheduling applications in energy management and service systems; pricing and revenue management problems; and inventory control.
- Project Participants: Arun Sukumaran, Ph.D. student
- 2018, Invited Panelist, CyberCon, Bismarck, North Dakota
- 2018, Invited Panelist, UAS Expo, Grand Forks, North Dakota
- 2018, Invited Panelist, Drone Focus, Fargo, North Dakota,
- 2018, IEEE COMSNETS, Bangalore, India, Feb 2018.
- 2017, Cyber Security Conference, NDSU, Panelist on a session titled "Filling the Demand and the Need for an Educated Cyber Security Workforce.
- 2016, Invited Member to discuss hosting Midwest Data Hub and group discussion on fostering Industry-Academic parternship on smart grid education and research, Applications of Analytics and Machine Learning in Energy Industry-Academia Workshop September 6, 2016 at the Georgia Institute of Technology.
- 2015, Grid Protection Alliance (GPA) Users Forum, Atlanta, GA, Aug 4-5 2015. Link/ppt
- 2014, NAPS Conference, Pullman, WA.
- 2013, IEEE Smart Tech Metro Series workshop, Minneapolis, MN.
- 2013, IEEE International ADCOM Conference, Chennai, India, - Invited as a Panel Member on Adaptive Computing Workshop.
- 2012, IEEE Electric Power & Energy Conference (EPEC), London Ontario, Canada.
- 2011, IEEE, Electric Power & Energy Conference, Winnipeg, Canada.
- 2010, National Institute of Science & Technology (NIST), Gaithersburg, Maryland. 2009,
- 2009, ASEE Annual Conference and Exposition, June 14 -17, Austin, Texas.
- 2008, ASEE North Midwest Sectional Conference October 16-18 2008, Platteville, Wisconsin.
- 2006, 'Inquiry based Engineering and Math', Best Teaching Practices in STEM (Science, Technology Mathematics and Engineering) Education, Turtle Mountain Community College, Belcourt, ND.
- 2003, Proc. Frontiers of Power - International Conference Stillwater, Oklahoma.
- 2008 ASEE Conference, Invited presentation on "LEGO Engineering in Undergraduate education", Informal Session, Platteville, Wisconsin.
- 2016, Cyber Security Educational Initiative Meeting, December 7, 2016, Bismarck, ND.
- 2011, North Dakota EpScoR conference.
- 2010, 'Challenges and Research directions in Smart grid', Dept. of Computer Science, North Dakota State University, Fargo.
- 2009, 'Secure Time Synchronization problem in WSN's, North Dakota State University, Fargo.
- 2004, Departmental Seminar on Flicker Evaluation, North Dakota State University, Fargo.