University of North Dakota - Research Institute for Autonomous Systems researcher directory

RESEARCH INSTITUTE FOR AUTONOMOUS SYSTEMS RESEARCHER DIRECTORY

FLIGHT OPERATIONS The single greatest challenge to developments in domestic commercial UAS development for the United States has been identification of UAS in the air. To that end, UND has a full-fledged suite of researchers and a Federal Aviation Administration Test Site attempting to solve the challenges presented by so-called “Beyond Line of Sight” operations. Drs. Will Semke and Jim Higgins are developing advanced SWARM technology that would solve major challenges in detection. Similarly, Dr. Naima Kaabouch is leading the field in detection for non-cooperative airborne bodies, such as stealthed aircraft or small birds. These areas have immediate applicability towards developing major capabilities in counter-terror and counterautonomy technologies.

APPLIED RESEARCH At every level of UND, faculty and staff work towards realizing the state’s goal of becoming the global capital for applied UAS research. To that end, one of the university’s deans, Dr. Bradley Rundquist, continues to perform research in the UAS space around remote sensing and object classification. His work has propelled the University of North Dakota to become a major source of employees for agencies like the National Security Agency and the National Geospatial Intelligence Agency. Similarly, Dr. Forrest Ames’ expertise in aerodynamics, thermodynamics, and heat transfer has helped him become a foremost authority in the field of aerodynamics through custom wind tunnel development since his former work at Rolls Royce. Finally, Dr. Jeremiah Neubert’s dual roles of roboticist and deep machine learning pattern recognition expertise have come fully to the fore with his work on space exploration and pattern visualization.

PUBLIC-PRIVATE PARTNERSHIPS

UND and the State of North Dakota have an expressed policy of encouraging faculty to work with private industry. Within this capacity, the institution has engendered a number of major public-private partnership grants, including work on automated detection of image anomalies for a major public utility company and Big Data public-private partnership facilitation through the National Science Foundation.

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DATA EXPLOITATION The University of North Dakota is also diving headfirst into the Big Data revolution, but choosing to concentrate on the institution’s central focus on UAS-generated data. For example, Dr. Gretchen Mullendore’s work with Northrop Grumman in concert with the company’s engineers of the Global Hawk to analyze aerospace environments previously thought to be unsafe.

Utilizing high-performance computing enabled analysis of deep convection turbulence with advanced atmospheric modeling, Dr. Mullendore has enabled Northrop Grumman to operate the Global Hawk within theaters previously thought of as inaccessible. Similarly, Dr. Travis Desell in computer science and Dr. Susan Felege in biology have worked together to create automatic detection for naturally-camouflaged wildlife.

The defense applications for image analysis, camouflage detection, and pattern recognition are unlimited.

INSTITUTIONAL POLICY RESEARCH AND PUBLIC POLICY ENVIRONMENT In the wake of the drone intrusion into the White House grounds, the Guardian reached out to UND’s famed UAS Research Compliance Comittee as a pioneering space for UAS research ethics and law enforcement. Because Grand Forks and the University of North Dakota exist in a collaborative environment with state and federal regulators, including the FAA, the institution is in a unique space to drive UAS innovation while also addressing public concerns. The institutions’ committee, as a result, has become one of the foremost authorities on best practices for UAS. To date, there has been no significant citizen opposition to Grand Forks’ emphasis on the UAS industry, due to a public interest in driving a sustainable industry in the region. This community-wide interest led tothe creation of the Grand Sky UAS Park, which is located on a U.S. Air Force base.

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FLIGHT UND has been active in unmanned ‘flight’ research for over 12 years, with major efforts in human factors, detect and avoid, airspace integration, and payload development. There is additional related ‘flight’ research in areas such as propulsion, airframes, controls, sensors and communications technologies. A goal of the Institute will be to grow and integrate all of these research areas. Please think about how your research fits with or adds to these areas and tell us.

APPLICATIONS Applications are the drivers of unmanned and autonomous research, as they provide the motivation for the use of these systems. Unmanned and autonomous systems are employed to help answer questions , and ultimately, development of applications is based on the acquisition of data and the conversion of this data into actionable information through a ‘data supply chain’ consisting of the closely linked functions of data storage, communications, security and analysis. Please think about the potential use of unmanned and autonomous systems in your own research, whether such use would provide valuable added insight to your work, and what the broader impacts of such use would be.

DATA SUPPLY CHAIN There is an exciting convergence occurring in the data industry. First, the development of unmanned and autonomous systems as vehicles for acquiring large amounts of data is maturing at a rapid pace. At the same time, diverse industries such as agriculture, power utilities, banking and finance, energy development, biomedical sciences and others have been heavily leveraging Big Data and Internet of Things (IoT) technologies for the purposes of analytics, visualization and near-real-time decision making. Bringing Big Data and the IoT to bear on the large datasets generated by unmanned and autonomous systems will open the door to applications development. Please think about how your research in data, Big Data and the IoT could fit with the many applications of unmanned and autonomous systems.

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CYBERSECURITY The development and application of cyber-security technologies is crucial to the operation of unmanned and autonomous systems, to the data that they produce, and to the applications that they enable. Unmanned systems must be operated safely and securely, free of hacking/spoofing, and the data obtained, whether of defense or economic importance, must be kept proprietary and out of the hands of unauthorized persons or organizations.

From power grids to agriculture, the data and information obtained through unmanned operations must be secure.

Please think about how your research fits with cyber-security.

POLICY Unmanned and autonomous systems, as evolving and innovative technologies, are related to many public policy issues. Entrepreneurs are populating the systems and products related to these systems, and they are important stakeholders in the evolving regulatory structures. Policy issues are also closely linked to other focus areas described above, and involve all branches and levels of government. Regulation related to unmanned and autonomous systems is therefore arising in disparate organizational, jurisdictional, and agency settings, from federal agencies like the Department of Homeland Security, the Federal Aviation Administration, and the Department of Defense, to municipal law enforcement agencies. With its long history with unmanned systems, UND is a natural policy leader. Please think about how your research impacts or fits with Policy.

NEXT GENERATION TECHNOLOGIES Unmanned and autonomous systems seem to be developing at an exponential rate. New innovations, technologies, capabilities and applications are appearing rapidly. Just knowing what is in use currently is a challenge.

Knowing what new technologies will be introduced a year from now or 10 years from now is an even greater challenge. To be at the forefront, the Institute must take on multiple roles. First, we must be an active observer of the many fields that impact unmanned and autonomous systems and disseminate and inform the UND and broader North Dakota communities of the developments in these fields on a frequent basis. This calls for an active information and communications function. Second, we must be a leader in unmanned and autonomous research and technology development. This calls for frequent exchanges of ideas. It also calls for initiation of rapid-response research. It calls for rapid access to funding. Please think about how we establish the institute as a national thought leader in unmanned and autonomous research.

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Research Institute for Autonomous Systems MARK ASKELSON, Ph.D.

ATMOSPHERIC SCIENCES | PROFESSOR Education:

Ph.D., University of Oklahoma

Research Keywords: Research Area: 1. Detect and Avoid 1. Data Analysis

2. Unmanned Aircraft Systems 2. Modeling 3. Atmospheric Sciences 3. Project Management

Relevant Work: EMAIL: askelson@aero.und.edu PHONE: 701.777.6334

• Askelson, M. A., P. Drechsel, J. Nordlie, C. J. Theisen, C. Carlson, T. Woods, R. Forsyth, and R. Heitman, 2013: MQ-9 Unmanned Aircraft Responsiveness to Air Traffic Controller Commanded Maneuvers: Implications for Integration into the National Airspace System. Air Traffic Control Quarterly, 21 (1), 79-92.

• Marsh, R., C. Theisen, M. Askelson, J. Nordlie, and N. Kimber, 2014: Airspace aircraft information display system for flight operations in North Dakota. IEEE Aerospace Conference 2014, Big Sky, MT, 11 pp.

• Wehner, P. J., J. Schwartz, D. Hashemi, C. T. Howell III, H. A. Verstynen, C. Buttrill, M. Askelson, and W. Semke, 2013: Evaluating prototype sense and avoid alternatives in simulation and flight. Assoc. Unmanned Vehicle Systems International (AUVSI) Unmanned Systems 2013, Washington D. C., 19 pp.

AARON BERGSTROM, M.S.

UND COMPUTATIONAL RESEARCH CENTER | HIGH PERFORMANCE COMPUTING SPECIALIST Education:

M.S., North Dakota State University

Research Keywords:

Research Area:

1. Supercomputing 1. Supercomputing 2. Big Data 2. 3D Technologies 3. Data Visualization 3. Data EMAIL: aaron.bergstrom@email.und.edu PHONE: 701.777.2075

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Relevant Work:

• Proceeding XSEDE16 Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale Article No. 57 Miami, USA — July 17 - 21, 2016

TRAVIS DESELL, Ph.D.

COMPUTER SCIENCE | ASSISTANT PROFESSOR Education:

Ph.D., Rensselaer Polytechnic Institute

Research Keywords: Research Area: 1. Machine Learning 1. Neural Networks

2. High Performance Computing 2. Crowd Sourcing 3. Big Data 3. High Performance Computing

Relevant Work: EMAIL: tdesell@aero.und.edu PHONE: 701.777.3477

• Connor Bowley, Alicia Andes, Susan Ellis-Felege and Travis Desell. Detecting Wildlife in Uncontrolled Outdoor Video using Convolutional Neural Networks. The IEEE 12th International Conference on eScience (eScience 2016). Baltimore, MD, USA. October 23-27, 2016.

• AbdElRahman ElSaid, Brandon Wild, James Higgins and Travis Desell. Using LSTM Recurrent Neural Networks to Predict Excess Vibration Events in Aircraft Engines. The IEEE 12th International Conference on eScience (eScience 2016). Baltimore, MD, USA. October 23-27, 2016.

• Marshall Mattingly III, Andrew Barnas, Susan Ellis-Felege, Robert Newman, David Iles and Travis Desell. Developing a Citizen Science Web Portal for Manual and Automated Ecological Image Detection. The IEEE 12th International Conference on eScience (eScience 2016). Baltimore, MD, USA. October 23-27, 2016.

JASON JENSEN, Ph.D.

POLITICAL SCIENCE/PUBLIC ADMINISTRATION | ASSOCIATE PROFESSOR Education:

Ph.D., University of Kentucky, Martin School

Research Keywords:

Research Area:

1. Policy 1. Policy Analysis 2. Regulation 2. Statistical Analysis 3. Entrepreneurship 3. Research Methods EMAIL: jason.jensen2@und.edu PHONE: 701.777.3547

Relevant Work:

• Smith, A, & Jensen, J. L. (forthcoming). An Assessment of Factors Important to Legislators in Budget Decisions; How Much Impact Can Agencies Have? Public Budgeting and Finance.

• Jensen, J. L. (2015). An examination of the burdens faced by entrepreneurs at start-up and five years later. Journal of Public Policy and Entrepreneurship, 4 (2): 152-170.

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Research Institute for Autonomous Systems RONALD MARSH, Ph.D.

COMPUTER SCIENCE | CHAIR/ASSOCIATE PROFESSOR Education:

Ph.D., North Dakota State University

Research Keywords:

Research Area:

1. Image Processing 1. Image Enhancment 2. Visualization 2. Super Resolution 3. Pattern Recognition 3. Image Compression

Relevant Work: EMAIL: ronald.marsh@und.edu PHONE: 701.777.4013

• R. Marsh, K. Ogaard, M. Kary, J. Nordlie, and C. Theisen, “Development of an Information Display System for UAS Operations in North Dakota,” International Journal of Computer Information Systems and Industrial Management Applications, ISSN 2150-7988, Volume 3, 2011, pp. 435-443.

• R. Marsh and T. Schmitt, “Object distance determination using a joint transform correlator,” International Journal of Science and Applied Information Technology, Volume 6, No.1, 2017, ISSN 2278-3083 • R. Marsh, T. Young, T. Johnson, and D. Smith, “Enhancement of Small Telescope Images Using Super-Resolution Techniques,” Publications of the Astronomical Society of the Pacific. May 2004.

PRAKASH RANGANATHAN, Ph.D.

ELECTRICAL ENGINEERING | ASSOCIATE PROFESSOR Education:

Ph.D., North Dakota State University

Research Keywords:

Research Area:

1. Cyber Security 1. Smart Grid 2. Smart Grid 2. Cyber Security 3. Optimization 3. Linear Programming Models

Relevant Work: EMAIL: prakash.ranganathan@und.edu PHONE: 701.777.4431

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• 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 • 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.

• 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 2016 6-7 December 2016 | San Francisco, United States • 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.

• 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.

NICK WILSON, M.B.A.

AVIATION | ASSISTANT PROFESSOR Education:

M.B.A., Bethel University

Research Keywords:

Research Area:

1. Human-Machine Interface 1. Program Management 2. User Interface / Feedback Design 2. Business Development 3. Curriculum Design 3. Team Coordination

Relevant Work: EMAIL: nwilson@aero.und.edu PHONE: 701.777.6749

• Wilson, N. D., Daku, S. A. (2016). Industry in Motion: Pilot Study on Instructor and Management Perceptions of New Hire Pilot Technical and Professional Preparation.

International Journal of Aviation, Aeronautics, and Aerospace, 3(3).

• Wilson, N., Tavakolian, K., Fazel-Rezai, R. (2016). Systems and methods to provide feedback to pilot/operator by utilizing integration of navigation and physiological monitoring. US Patent App. 15/153,198.

• Johnson, B., Erickson, J., Schneider, C., Alam, M. N., Glessing, D., Wilson, N., Tavakolian, K., Fazel-Rezai, R. Aviation navigation feedback device. Electro Information Technology (EIT), 2016 IEEE International Conference on (pp. 0760-0764). IEEE. • Wilson, N. D., Basile, E., Dusenbury, M. (2016). Funding Changes from the Department of Veterans Affairs: Measuring the Impact on Undergraduate Flight Student Career and Academic Goals. Collegiate Aviation Review, 34(2), 86-98.

BRIAN URLACHER, Ph.D.

POLITICAL SCIENCE | ASSOCIATE PROFESSOR Education:

Ph.D., University of Connecticut

Research Keywords:

Research Area:

1. Foreign Policy 1. Statistical Methods 2. Intelligence 2. Public Opinion Research 3. Counter Terrorism

EMAIL: brian.urlacher@und.edu PHONE: 701.777.3541

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Research Institute for Autonomous Systems BENJAMIN TRAPNELL, M.S. AVIATION | ASSOCIATE PROFESSOR Education:

M.S., Embry-Riddle Aeronautical University

Research Keywords:

Research Area:

1. UAS Operations Risk Mitigation 1. Aviation Education 2. UAS Systems Education 2. UAS Education 3. UAS Flight Education and Training 3. Program Development

Relevant Work: EMAIL: benjamin.trapnell@und.edu PHONE: 701.777.4766

• Training the Future Operators; Unmanned Tech Solutions, Tactical Defense Media, Inc. Fall, 2013 • Regulatory and technology survey of sense-and-avoid for UAS, AIAA Infotech@ Aerospace 2007 Conference and Exhibit • Bridging the Gap: Implementing An Undergraduate Degree Program For Unmanned Aircraft Systems Operations, Association for Unmanned Vehicle Systems International Program Review, 2010

SALEH FARUQUE, Ph.D.

ELECTRICAL ENGINEERING | PROFESSOR Education:

Ph.D., University of Waterloo, Canada

Research Keywords:

Research Area:

1. Tactical UAV for Cyber Security 1. Tactical UAV for Cyber Security 2. Mission Critical Data Communication 2. Mission Critical Data Communication 3. 4D Navigation & Collision Avoidance 3. 4D Navigation & Collision Avoidance

Relevant Work: EMAIL: saleh.faruque@und.edu PHONE: 701.777.4428

• Saleh Faruque, Shams Faruque and William Semke, “Orthogonal On-Off Keying (O3K) for Free-Space Laser Communications With Ambient Light Compensation” SPIE Optical Engineering, Volume 52, Issue 9, Lasers, Fiber Optics, and Communications, 2013( Published).

• Saleh Faruque and Prakash Ranganathan, Patent Pending: 20160315774 A1, “Smart grid secure communications method and apparatus”. Pending • Shams Faruque, Saleh Faruque and William Semke: Patent Grannted, 9,154,228 , “Method and apparatus for signal reception with ambient light compensation “, Granted Oct. 6, 2015

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DAVID DELENE, Ph.D.

ATMOSPHERIC SCIENCES | RESEARCH ASSOCIATE PROFESSOR Education:

Ph.D., University of Wyoming

Research Keywords: Research Area: 1. Atmospheric Aerosols 1. Instrumentation

2. Cloud-Physics 2. Airborne Data Processing, Analysis, 3. Air Quality Visualization

3. Airframe Modifications EMAIL: david.delene@und.edu PHONE: 701.777.4847

Relevant Work:

• Delene, D. J., Andrea Neumann, Alexei Korolev, Matt Freer, Olivier Henry, Jonathan Crosie, Stephanie Gagne, Landan MacDonald, Aaron Bansemer, Andrew Heymsfield, Colin Gurganus, Ted Fisher, Wei Wu, Greg McFarquhar, Towards Community Software Development to Process and Analyze Cloud Physics In-situ Aircraft Data, Bulletin of the American Meteorological Society, in preparation, 2017.

• Delene, D. J., Suitability of North Dakota for Conducting Effective Hygroscopic Seeding, Journal of Weather Modification, 48, 43-67, 2016, • Delene, D. J., Airborne Data Processing and Analysis Software Package, Earth ScienceInformatics, 4(1), 29-44, 2011

RIC FERRARO, Ph.D.

PSYCHOLOGY | PROFESSOR Education:

Ph.D., Universty of Kansas

Research Keywords:

Research Area:

1. Human Factors 1. Cognition 2. Cognition 2. Aging 3. Aging 3. Neuropsychology

Relevant Work: EMAIL: f.ferraro@und.edu PHONE: 701.777.2414

• Ferraro, F. R. (2016). Assessing motion cueing seat effectiveness in UAV pilots/sensors Journal of Unmanned Vehicle Systems, 4, 146-150.

• Ferraro, F. R., Van Dyke, D., Zander, M., Anderson K., & Kuehlen, B. (2015). Risk perception in aviation students: Weather matters. International Journal of Aviation, Aeronautics, and Aerospace, 2, 1-7.

• Ferraro, F. R. (2015). Aging and technology. Journal of Aging Science, 3, 117.

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Research Institute for Autonomous Systems SUSAN FELEGE, Ph.D.

BIOLOGY | ASSISTANT PROFESSOR Education:

Ph.D., University of Georgia

Research Keywords:

Research Area:

1. Wildlife Ecology 1. Wildlife Ecology 2. Data Automation 2. Applications 3. Applications 3. Data Automation

Relevant Work: EMAIL: susan.felege@und.edu PHONE: 701.777.3699

• Mattingly III, M., A. Barnas, S. N. Ellis-Felege, R. Newman, D. Iles, and T. Desell. 2017.

Developing a citizen science web portal for manual and automated ecological image detection. IEEE 12th International Conference on e-Science.

• Burr, P.C., A. C. Robinson, R. T. Larsen, R.A. Newman, S. N. Ellis-Felege. 2017. Sharp-tailed grouse nest survival and nest predator habitat use in North Dakota’s Bakken oil field.

PLoS One. • Barnas, A., R. A. Newman, C. J. Felege, M. P. Corcoran, S. D. Hervey, T. D. Stechmann, R.F. Rockwell, and S. N. Ellis-Felege. In Review. Evaluating Behavioural Responses of Nesting Lesser Snow Geese to Unmanned Aircraft Surveys. Ecology and Evolution.

DAN MUUS, B.A.

ALUMNI ASSOCIATION & FOUNDATION | CHIEF DEVELOPMENT OFFICER Education: B.A., University of North Dakota Research Keywords:

1. Oil & gas 2. Agriculture

Relevant Work:

• UAS Magazine EMAIL: DanM@undfoundation.org PHONE: 701.777.2327

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• Inside Unmanned Systems

HASSAN REZA, Ph.D.

COMPUTER SCIENCE | ASSOCIATE PROFESSOR Education:

Ph.D., North Dakota State University

Research Keywords:

Research Area:

1. Model-Based Engineering 1. Software and System Architecture of Adaptive Systems 2. Applied Formal Methods 2. Cyber Physical Systems 3. Software Testing 3. Security Engineering EMAIL: reza@aero.und.edu PHONE: 701.777.4127

Relevant Work:

• Darren Seifert, Hassan Reza:A Security Analysis of Cyber-Physical Systems Architecture for Healthcare. Computers 5(4): 27 (2016) • Jeremy Straub, Hassan Reza: A Blackboard-style decision-making system for multi-tier craft control and its evaluation. J. Exp. Theor. Artif. Intell. 27(6): 763-777 (2015) • Reza et al. Toward Model-Based Requirement Engineering Tool Support. IEEE Aero Conference, MT, March 2017

SIMA NOGHANIAN, Ph.D.

ELECTRICAL ENGINEERING | ASSOCIATE PROFESSOR Education:

Ph.D., University of Manitoba, Canada

Research Keywords:

Research Area:

1. Antennas for Unmanned Systems 1. Antennas 2. UAV Swarm 2. Wireless Channel Modeling 3. Wireless Power Transfer 3. Computational Electromangetics

Relevant Work: EMAIL: sima.noghanian@und.edu PHONE: 701.777.4433

• J. Hahn, C. Peterson, S. Noghanian and P. Ranganathan, “Optimization of swarms of UAVs,” 2016 International Conference on Electro/Information Technology, Grand Forks, ND, USA, May 2016.

• N. Adhikari, A. Kumar, and S. Noghanian, “A cost-effective test-bed for vehicular channel measurements,” IEEE Antennas and Wireless Propagation Letters, vol. 15, pp. 674-677, 2016, DOI: 10.1109/LAWP.2015.2468221.

• C. Bergsrud and S. Noghanian, “Microstrip aperture-coupled antenna design for in-space power reception experiment using nano-sized satellite,” 2015 USNC/URSI Symposium,

Vancouver, Canada, July 2015.

• R. Shadid, S. Sajal, and S. Noghanian, “Efficiency comparison of inductive and microwave power transfer for biomedical applications,” 2017 IEEE International Symposium on Anten nas and Propagation, APS & CNC/USNC/URSI Symposium, San Diego, CA, USA, July 2017.

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Research Institute for Autonomous Systems WILLIAM SEMKE, Ph.D.

MECHANICAL ENGINEERING | CHAIR/PROFESSOR Education:

Ph.D., University of Wisconsin-Madison

Research Keywords:

Research Area:

1. UAS Payload Systems 1. Design 2. Precision Motion 2. Vibration 3. Perching 3. Innovation

Relevant Work: EMAIL: william.semke@und.edu PHONE: 701.777.4571

• Semke, W., Editors: D. Marshal, R. Barnhart, E. Shappee, and M. Most, “Chapter 14 Unmanned Aircraft Subsystem Integration,” Introduction to Unmanned Aircraft Ssytems, 2nd Ed., CRC Press, Taylor & Francis Group, pp. 279-296, 2016.

• Wehner, P., Schwartz, J., Hashemi, D., Stock, T., Howell, C., Verstynen, H., Buttrill, C., Askelson, M., and Semke, W., “Evaluating Prototype Sense and Avoid Alternatives in Simulation and Flight,” AUVSI’s Unmanned Systems North America 2013, Washington D.C., August 12-15, 2013.

• Swetich, W. and Semke, W., “Eliminating Blur in Small Unmanned Aircraft Imaging Systems,” Proceedings of the International Modal Analysis Conference (IMAC) XXXV: A Conference and Exposition on Structural Dynamics, 2017.

JOHN NORDLIE, M.S.

COMPUTER SCIENCE | RESEARCH ASSISTANT Education:

M.S., University of North Dakota

Research Keywords:

Research Area:

1. Remote Sensing 1. Programming 2. Command and Control 2. Communications 3. Telemetry 3. Visualization

Relevant Work: EMAIL: john.nordlie@und.edu PHONE: 701.777.6112

• John Nordlie, Jeremy Straub, Chris Theisen, Ronald Marsh, “Solar Ballooning: A Low-Cost Alternative to Helium Balloons for Small Spacecraft Testing,” The American Institute of Aeronautics and Astronautics (AIAA) SciTech 2014 conference, National Harbor, Maryland, January, 2014.

• Ronald Marsh, John Nordlie, Chris Thesien, Nate Kimber, and Mark Askelson, “Aerospace Aircraft Information Display System for Flight Operations in North Dakota,” IEEE Aerospace Conference, Bozeman, Mt, March, 2014.

• John Nordlie, Jeremy Straub, Chris Theisen, and Ronald Marsh, “The Use of Solar Balloons at UND as a Lo-Cost Alternative to Helium Balloons for Small Spacecraft Testing and STEM Education,” UND Scholarly Forum, March, 2014.

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JOE VACEK, J.D.

AEROSPACE | ASSOCIATE PROFESSOR Education:

J.D., Univeristy of North dakota

Research Keywords:

Research Area:

1. Law 1. Law 2. Regulation 2. Policy 3. Policy 3. Liability

Relevant Work: EMAIL: jjvacek@aero.und.edu PHONE: 701.777.3336

• Vacek, J. (2017) The Next Frontier in Drone Law: Liability for Cybersecurity Negligence and Data Breaches for UAS Operators. Campbell L. Rev. 39:1.

• Vacek, J. (2016) Insurance as a Mission Enabler, Encyclopedia of Aerospace Engineering: UAS. John Wiley & Sons, Ltd. • Vacek, J. (2016) Remote Sensing of Private Data by Drones is Mostly Unregulated: Reasonable Expectations of Privacy are At Risk Absent Comprehensive Federal Legislation.

N.D. L. Rev. 90:3.

MARK HOFFMANN, Ph.D.

CHEMISTRY | ASSOC. VP RESEARCH/PROFESSOR Education:

Ph.D., University of California, Berkeley

Research Keywords:

Research Area:

1. Molecular Electronic Structure 1. Sparse Matrices 2. Surfaces 2. Eigenvalues 3. Entanglement 3. C Language

Relevant Work: EMAIL: mark.hoffmann@und.edu PHONE: 701.777.2742

• Lange, K. K.; Tellgren, E. I.; Hoffmann, M. R.; Helgaker, T. A Paramagnetic Bonding Mechanism for Diatomics in Strong Magnetic Fields, Science 2012, 337, 327−331.

• Tamukong, P. K.; Khait, Y. G.; Hoffmann, M. R. Density Differences in Embedding Theory with External Orbital Orthogonality. J. Phys. Chem. A 2014, 118, 9182−9200.

• Nicholls, D.; Li, R.; Ware, B.; Pansegrau, C.; Cakir, D.; Hoffmann, M. R.; Oncel, N. An STM and DFT Study on Zinc(II) Phthalocyanine tetrasulfonic Acid on Bi-layer Epitaxial Graphene on Silicon Carbide (0001). J. Phys. Chem. C 2015, 119, 9845.

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Research Institute for Autonomous Systems GREGORY VANDEBERG, Ph.D.

GEOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE | CHAIR/ASSOCIATE PROFESSOR Education:

Ph.D., Kansas State University

Research Keywords:

Research Area:

1. Water Resources 1. Geographic Information Systems 2. Geospatial Analysis 2. Global Positioning Systems 3. Water Quality 3. Remote Sensing

Relevant Work: EMAIL: gregory.vandeberg@und.edu PHONE: 701.777.4588

• Vandeberg, G. S., VanLooy, J., 2016. Continental Glacier meltwater contributions to late summer stream flow and water quality in the northern Wind River Range, Wyoming, USA. Environmental Earth Sciences. 75, 389 • Vandeberg, G., Dixon, C. S., Vose, B., Fisher, M. R., 2015. Spatial assessment of water quality in the vicinity of Lake Alice National Wildlife Refuge, upper Devils Lake basin, North Dakota. Environmental Monitoring and Assessment, 187(2):40. DOI:10.1007/s10661- 014-4222-7 • Gbolo, P., Gerla, P., Vandeberg, G., 2015. Using high-resolution, multispectral imagery to assess the effect of soil properties on vegetation reflectance at an abandoned feedlot.

Geocarto International 30(7):793-809

ERIN ROESLER, B.S.

AVIATION | CHIEF INSTRUCTOR - UAS Education:

B.S., University of North Dakota

Research Keywords:

Research Area:

1. Policy 1. Training/Curriculum Development 2. Flight 2. sUAS Policy 3. Training

EMAIL: eroesler@aero.und.edu PHONE: 701.777.7876

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TIMOTHY PASCH, Ph.D.

COMMUNICATION | CHAIR/ASSOCIATE PROFESSOR Education:

Ph.D., University of Washington

Research Keywords:

Research Area:

1. Arctic UAS 1. Predictive Analytics 2. US/Canadian UAS Policy 2. International Communication 3. UAS Strategic Communications 3. Social Network Analysis

Relevant Work: EMAIL: timothy.pasch@und.edu PHONE: 701.777.2128

• Bjerklie, D., Pasch, T. J., (Forthcoming July 2017). Arctic Digital Communication. In David Bjerklie (Ed.), Technology for All: WIFI Around the World. (vol. 1). New York, NY: TIME • Pasch, T (2015). Journal of Specialized Translation, Towards the Enhancement of Arctic Digital Industries in the Canadian North: Translating cultural content to New Media Platforms. Invited Article for special edition on the Contemporary Survival of Languages and Culture.

• Conway, K and Pasch, T. (Eds.) (2013). Beyond the Border: Tensions across the Forty-ninth Parallel in the Great Plains and Prairies McGill/Queens University Press. ISBN: 9780773541306 http://goo.gl/yNNwOh

WAYNE SEAMES, Ph.D.

CHEMICAL ENGINEERING | PROFESSOR Education:

Ph.D., University of Arizona

Research Keywords:

Research Area:

1. UAS Materials 1. Carbon Fibers 2. UAS Fuels 2. Renewable Fuels 3. Renewable Materials

EMAIL: wayne.seames@und.edu PHONE: 701.777.2958

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Research Institute for Autonomous Systems REZA FAZEL-REZAI, Ph.D.

ELECTRICAL ENGINEERING | ASSOCIATE PROFESSOR Education:

Ph.D., University of Manitoba, Canada

Research Keywords:

Research Area:

1. Brain Signal Processing 1. Signal and Image Processing 2. Human Computer Interaction 2. Biomedical Engineering 3. Image Processing 3. Neural Engineering

Relevant Work: EMAIL: reza.fazel-rezai@und.edu PHONE: 701.777.3368

• A. Haider, R. Fazel-Rezai, “Application of P300 Event-Related Potential in Brain-Computer Interface,” in Event-Related Potentials and Evoked Potentials, In-Tech, to be published in 2017.

• T. T. K. Munia, A. K. Verma, J. L. Gendreau, B. D. Johnson, M. Romanick, K. Tavakolian, and R. Fazel-Rezai,”Preliminary Results of Residual Deficits Observed on Athletes with Past Concussion History: Combined EEG and Cognitive Study,” in IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 2016.

• A. Rabbi, A. Zony, P. de Leon, and R. Fazel-Rezai, “Mental workload and task engagement evaluation based on changes in electroencephalogram,” Biomedical Engineering Letters, vol. 2, pp.139-146, 2012.

GARY ULLRICH, M.S.

AVIATION | ASSOCIATE PROFESSOR Education:

M.S., Embry Riddle Aeronautical University

Research Keywords:

Research Area:

1. Safety Management Systems 1. Risk Management 2. Risk 2. Risk Mitigation

Relevant Work:

• Snyder, P. R., & Ullrich, G. M. (2017). Practical Safety Management Systems. Aviation Supplies and Academics, Inc. EMAIL: ullrich@aero.und.edu PHONE: 701.777.3567

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TREVOR WOODS, M.B.A.

NORTHERN PLAINS UAS TEST SITE | UAS SAFETY DIRECTOR Education:

M.B.A., University of North Dakota

Research Keywords:

Research Area:

1. Beyond Visual Line of Sight 1. Safety 2. Spectrum 2. Policy and Regulations 3. Policy and Regulations 3. Operations

Relevant Work: EMAIL: trevor.woods@und.edu PHONE: 701.777.2824

• Woods, T., 2017, Beyond Visual Line of Sight – Large UAS, North Dakota UAS Industry Day, Bismarck, ND. • Woods, T., 2017, UAS Updates, 2017 ND Aerial Applicator Safety Meeting, Bismarck, ND. • Askelson, M.A., Drechsel, P., Nordlie, J., Theisen, C., Carlson, C., Woods, T., Forsyth, R., Heitman, R. (2013) MQ-9 Unmanned Aircraft Responsiveness to Air Traffic Controller Commanded Maneuvers: Implications for Integration into the National Airspace System.

Air Traffic Control Quarterly 21(1), 79-92

CHRIS THEISEN, M.S.

REGIONAL WEATHER INFORMATION CENTER / NORTHERN PLAINS UAS TEST SITE | RADAR RESEARCH METEREOLOGIST Education:

M.S., University of North Dakota

Research Keywords:

Research Area:

1. Unmanned Aircraft Systems 1. Data Collection & Analysis 2. Radar 2. UAS Flight Operations 3. Weather 3. Software EMAIL: ctheisen@atmos.und.edu PHONE: 701.777.6139

Relevant Work:

• Theisen, C., 2017: UAS Based Inspection of Infrastructure. UAS Weather Forum, Xponential 2017, Dallas, Texas, AUVSI [Oral Presentation] • Theisen, C. and S. Roman (Harris), 2017: Beyond Visual Line of Sight – Small UAS: Enabling UAS Operations through support of a UAS Network Infrastructure. NDUAS Industry Day, Bismarck, North Dakota. [Oral Presentation] • Askelson, M. A., P. Drecshel, J. Nordlie, C. Theisen, C. Carlson, T. Woods, R. Forsyth, and R. Heitman, 2013: MQ-9 unmanned aircraft responsiveness to air traffic controller commanded maneuvers: Implications for integration into the National Airspace System. Air Traffic Control Quarterly. 21 (1)

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Research Institute for Autonomous Systems HOSSEIN SALEHFAR, Ph.D.

ELECTRICAL ENGINEERING | PROFESSOR Education:

Ph.D., Texas A&M University, College Station

Research Keywords:

Research Area:

1. Electric Drives 1. Electric Drives & Motion Control 2. Motion Control & Intelligent 2. Fuel Cells & Energy Storage Decision Systems 3. Intelligent Decision Systems 3. Fuel Cells

Relevant Work: EMAIL: h.salehfar@und.edu PHONE: 701.777.4432

• “Trajectory Training of Feedforward Neural Networks for DC Motor Speed Control,” 2017 I EEE Texas Power and Energy Conference (TPEC), Texas A&M University, College Station, Texas, February 9-10, 2017.

• “Induction Machine Transient Energy Loss Minimization Using Neural Networks,” 2016 North American Power Symposium (NAPS), Denver, Colorado, September 18-20, 2016.

• “Unbiased Economic Dispatch in Control Areas with Conventional and Renewable Generation Sources,” Journal of Electric Power Systems Research, Vol. 119, Pages 313- 321, 2015.

• “Equivalent Electric Circuit Modeling and Performance Analysis of a PEM Fuel Cell Stack Using Impedance Spectroscopy,” Published, IEEE Transactions Journal on Energy Conversion, Vol. 25, No. 3, Pages 778-786, September 2010.

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The UND Research Institute for Autonomous Systems (RIAS) is created to help integrate the expertise, infrastructure, activities and resources of UND and the North Dakota University System, with the goal of establishing ongoing and sustainable externally funded unmanned and autonomous research leading to economic development and diversification in the state of North Dakota. The RIAS will help to brand North Dakota as the leading destination for cutting edge unmanned and autonomous technology and workforce development.

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UNIVERSITY OF NORTH DAKOTA

Research Institute for Autonomous Systems PLEASE VISIT OUR WEBSITE: UND.EDU/RESEARCH/RIAS

To date, UND has remained on the cutting edge of the most exciting research within the autonomous and unmanned fields of flight operations, applied research, data exploitation, public-private partnerships, and policy.

For these reasons, the New York Times described Grand Forks and the Red River Valley as the “Silicon Valley for Drones.” (2015).

DIVISION OF RESEARCH & ECONOMIC DEVELOPMENT 701.777.6736

Twamley Hall Room 103 264 Centennial Drive Stop 8367 Grand Forks, ND 58202-8367 vpr@research.UND.edu