Arctic Domain Awareness

Research Areas

Maritime Domain Awareness

Maritime Situational Awareness and Response Support

Maritime Technology Research

Integrated Education

About Us

University of Alaska Anchorage

3211 Providence Drive
Anchorage, AK 99508



ADAC Factsheet

Executive Leadership:

Dr. Douglas Causey, Principal Investigator

Dr. Larry Hinzman, Research Director

Randy "Church" Kee, Maj Gen USAF (Ret), Executive Director

Supporting Leadership:

Heather Paulsen, Finance Director

Malla Kukkonen, Education and Administrative Manager

Project Search

Arctic Domain Awareness Center

The Arctic Domain Awareness Center (ADAC), led by the University of Alaska Anchorage, develops and transitions technology solutions, innovative products, and educational programs to improve situational awareness and crisis response capabilities related to emerging maritime challenges posed by the dynamic Arctic environment.

Center Activity

ADAC supports US Coast Guard disaster response by mapping spills in Arctic maritime environment through development of propeller-driven long range autonomous vehicle


Responding to the challenges of Arctic resource development: how a propeller-driven Long Range Autonomous Underwater Vehicle (LRAUV) can support USCG disaster response:  

Scenario 2020:  In response to sharply rising oil prices, coupled with OPEC mandated production limitations, the U.S. President authorizes unprecedented oil exploration in the Exclusive Economic Zone regions in the eastern Chukchi and the Beaufort Seas.  A major oil producer establishes a new field 175 nautical miles north of the city formerly known as Barrow, and deploys new extraction technologies to initiate production of crude oil.  To the horror of producers, environmentalists, Native coastal populations and disaster responders, the new technology malfunctions, resulting in the release of an estimated 700,000 barrels of oil into the marine environment just as the autumn sea ice is starting to form.

USCG D-17 response forces swing into action to characterize, address and attempt to mitigate the disaster.  Initial on-scene coordinators deploy from Kodiak via rotary and fixed wing assets. The response package includes their new Long Range Autonomous Underwater Vehicle (LRAUV) developed by Woods Hole Oceanographic Institution (WHOI) via ADAC/DHS support.  The onset of sea ice prompts the USCG response team to deploy their HH-60 helicopter to find an open water zone for pitching the LRAUV into the sea. After successful LRAUV launch, the team places a long-range maritime antenna buoy to relay LRAUV mapping signals back to the on-shore coordination center.

The LRAUV guides itself to the oil plume and commences three-dimensional mapping of the site, sending details that characterize the spill to emergency responders, for both ice free areas and those covered by newly formed sea ice, none of which would be available via overhead imagery.  Armed with this comprehensive data, the response team forms its plan.  “To be continued.

While the above futuristic scenario benefits from ADAC’s scientific advances as funded by DHS, relatively recent oil spills in the real world created catastrophes that underlie the urgency to improve response capabilities. For instance, the massive oil spill from the Macondo Canyon well in the “Deepwater Horizon” event in 2010 was unprecedented for uncontrolled release of petroleum in the maritime domain. USCG’s response to Deepwater Horizon did benefit from early generation remotely-controlled underwater vehicles to characterize the nature of the well blow-out.  These early generation vehicles were both limited in range and time on-station, but proved useful to on-scene operators, and provided impetus to press forward with further scientific discovery and development.

While much smaller in scale, the grounding and breakup of the M/V Selendang Ayu in 2004 resulted in a substantial loss of oil in pristine fishing grounds in the Aleutian Islands.

Oil Spills from future well development or transport in the Arctic region could be exponentially complicated for USCG and other operators to respond to, particularly due to the presence of sea ice and the austerity of infrastructure, including very limited ports, expeditionary quality port structure, vast distances and remoteness of the Arctic. ADAC’s sponsored project, conducted by world-renowned underwater vehicle developers at the Woods Hole Oceanographic Institution, has developed the search algorithms, arrayed the right sensor packages and is joining the sensors to a newly developing LRAUV, using the “Tethys” platform, to achieve an unprecedented 600+ KM range at approximately two knots speed.  The Tethys platform can be deployed by two persons with relative ease, and requires no special handling equipment to deploy or recover.  LRAUV will fill a vital need in the USCG Arctic response capability kit.


EEZ: An area of coastal water and seabed prescribed by the United Nations Convention (within 200 nautical miles of the U.S. coastline) to which the country claims exclusive rights for fishing, drilling, and other economic activities.


PROJECT: Community Based Observer Networks for Situational Awareness (CBONS-SA)

This project will establish a community-based observing network and system (CBONS) to acquire fine scale, local data on a range of variables critical to USCG operations (Savo et al. 2016, Alessa et al. 2015).  Variables will include those associated with environmental change, subsistence activities/habitats and vessel transits (see Figure 6).  A systematic and quality assured CBONS will enhance the Coast Guard’s ability to successfully respond to Arctic-related Incidents of National Significance (Arctic IONS). CBONS data may be used to enhance the preparedness of communities on the ground which can greatly increase the effectiveness of USCG in the Arctic while potentially reducing costs in the long term. The data will also generate community maps consisting of areas critical to culture and subsistence which will allow the Coast Guard to operate in ways that protect livelihoods and traditional lifeways. The data will eventually be transmitted via the Arctic Information Fusion Capability (AIFC) in order to promote safer SAR/HADR operations. Finally, the data may be used to enhance the precision of data from other Arctic Observing Networks (AON) by placing them in their social contexts.

PROJECT: High-Resolution Modeling of Arctic Sea Ice and Currents (HIOMAS)

This project will develop an accurate, High-resolution Ice-Ocean Modeling and Assimilation System (HIOMAS) for modeling and predicting sea ice and currents in the Arctic Ocean.  This system is to be calibrated and validated using a range of available sea ice and ocean observations and then used for (near) real-time hindcast and daily-to-seasonal forecast of Arctic Ocean currents, sea ice, and change.

Accurate, high-resolution predictions of ocean currents and sea ice conditions will enhance the Coast Guard’s ability to prepare for and respond to oil spills in the Arctic Ocean.  The prediction data will also allow the Coast Guard to more safely and reliably conduct search and rescue missions.  The data will eventually be transmitted to ship captains via the Automated Identification System (AIS) system in order to promote safer maritime transportation.  Finally, the data may be used as forcing to drive other models such as wave models and oil spill models.

PROJECT: Arctic Oil Spill Modeling

The team will work to develop techniques to estimate the spreading of oil that has been released under ice (due to a well blow-out or due to a ruptured pipeline) or among ice (due to a ship grounding). For the under-ice oil release from a well blowout or a ruptured pipeline, the approach will involve coupling output from the oil plume model developed by Texas A&M University with simple analytical density current models to arrive at forecasts of oil spreading.  For oil released near the surface, project team will adopt approaches derived from the research literature that are compatible with NOAA’s GNOME oil spill model (General NOAA Operational Modeling Environment). 

The goal is to develop a tool to forecast the spreading of oil in the immediate aftermath of a spill event (i.e., within 24 or 48 hours of the spill), accounting for the character of the spill (e.g., well blowout or pipe rupture), the release rate or amount, and the environmental conditions (ice concentration, water depth, water velocity, salinity).  The tool produced – referred to as the “Arctic Oil Spill Calculator” – will be housed in the Arctic Information Fusion Capability, and we will work to include it in NOAA’s Arctic ERMA program.

PROJECT: Real-time Storm Surge, Coastal Flooding, and Coastal Erosion Forecasting for Arctic Alaska

In this project, we will work in collaboration with NOAA’s National Weather Service (NWS) to develop a high (1 km) resolution storm surge forecasting model for the north coast of Alaska between Cape Lisburne and the US/Canadian Border (a distance of 1000 km). Currently, the NWS operates a ~ 5 km resolution forecasting model (ET-Surge). The storm surge modeling will be conducted with NWS-compatible software (either the SLOSH model or the ADCIRC model). Water level forcing data, applied on the ocean boundary, will come from National Weather Service’s Extra Tropical (ET)-Storm Surge model. Bathymetric and topographic data will be gathered from NOAA sources.

In addition to the storm surge forecasting, we will develop a preliminary coastal erosion forecasting model for the Barrow area. The coastal erosion model will be a semi-empirical model that computes erosion rate based on environmental data including surge height, wave condition, water temperature, and nearshore ice condition. Nearshore wave data for the erosion model will be estimated based on NOAA’s operational Wavewatch III model or the Nearshore Wave Prediction System (planned to be operational in September 2016).

The storm surge and coastal erosion models will be calibrated and validated using available data including NOAA water level data collected at Prudhoe Bay and shoreline change, wave and water level data available by Barrow. Co-PI Craig Tweedie will assist with the gathering of Barrow data for model calibration/validation. Time permitting, the team will include an Xbeach model to explicitly include the contribution of wave run-up to the coastal storm surge (following Erickson et al. 2015). The suite of models will forecast storm surge, coastal flooding, and erosion risk and they will be included in the Arctic Information Fusion Capability (AIFC).

PROJECT: Identifying, Tracking and communicated Sea-Ice Hazards in an Integrated Framework

The overarching objectives of this project are to identify, track and communicate hazards associated with ice in the ocean such as the entrapment of vessels; structural damage to vessels and infrastructure; risk to personnel and assets due to detachment of landfast ice; and the limitation of oil spill response. These objectives are directly motivated by input from USCG D-17 and review of USCG Arctic Information Needs workshop report. The proposed work addresses several of the 20 US MDA challenges identified by the USCG.

Our approach is two-pronged and involves 1) the development of technology to identify and track ice-related hazards; and 2) the creation of an Arctic MDA testbed located in Barrow, Alaska, to assess the value of available met-ice-ocean data streams and test strategies for effective communication in an Arctic emergency response setting.

The outcomes of this work will include i) the development of software products for deriving ice motion and deformation from land-based and ship-based radar platforms; ii) baseline coastal sea ice motion data for long-term hazard assessment and model validation; iii) assessment of a new satellite-based methodology for assessing ice stability and trafficability; iv) a leadership role in the development of an Arctic MDA testbed.

PROJECT: Ice Condition Index for the Great Lakes (IceCon)

In collaboration with the US Coast Guard and others, an ice condition index (ICECON) will be developed for the Great Lakes. The index will be forecasted up to 120 hours into the future making use of circulation and ice models developed by National Ocean and Atmospheric Administration’s (NOAA’s) Great Lakes Environmental Research Laboratory (GLERL).  Icebreaker activity and its impact on ICECON will also be accounted for in ICECON nowcasts and forecasts. In parallel with the development of ICECON, ADAC will work to identify and adopt a vessel classification system which will define a number of vessel classes and the ice-capability of ships in those classes (in terms of ICECON).  The system will help the US Coast Guard provide guidance and decision support to vessels (of a given class) which are planning a given transit. The overall Work Plan consists of 6 Tasks. Three of these will be conducted during year three of ADAC starting in July 2016. The development of ICECON for the Great Lakes is intended to be an inclusive and iterative process. Accordingly, there is a need to schedule one or more workshops in which to engage with ice and maritime transportation experts from a range of organizations including (not exclusive): NOAA, the National Ice Center, the US Army Corps of Engineers Cold Regions Lab, the US Coast Guard, Transport Canada, the Canadian Ice Service, the Finnish Meteorological Institute, and the University of Alaska.


PROJECT: Arctic Information Fusion Capability (AIFC)

Arctic Information Fusion Capability (AIFC) seeks to support operational decision makers in the maritime domain ranging from operational commanders to tactical operators to community-based observers.  AIFC strives to gain two dimensional geographic orientation of precision mapping data, near-real-time and high resolution satellite imagery incorporated with available modeling, sensors, web based communications and appropriate social networking feeds to gain domain awareness in support of operational decision making and interface with humans and responders in the field. 

Further, AIFC will provide elements of domain awareness from a 3 dimensional “column view to gain insights vertically from seabed to surface and surface skyward.  AIFC seeks to achieve a near- real-time and forecast decision support that can transition to intelligent decision support in a follow-on phase.  AIFC near-real-time products will be delivered as rapidly as possible following capture and processing of the observation. In general, near-real-time is a qualitative descriptor.  In the AIFC context it refers to products delivered between a few seconds up to 30 minutes following capture.

In Phase 1, AIFC will leverage and fuse existing sources, capabilities, and models to provide operational decision support.  This includes visualization and mapping of sensor output, marine systems modeling, communications, appropriate social networking feeds, and other information required for Arctic maritime situational awareness.  This also includes a deployable/field capability to support USCG emergency on-scene coordinators and community-based observations. In Phase 2, AIFC will transition to provide intelligent decision support and prototype the automatic control of sensors and robotic systems.

PROJECT: Low Cost Wireless Remote Sensors for Arctic Monitoring and Lifecycle Assessment

The project goal is to develop low-cost wireless sensors for use in remote monitoring, asset management, surveillance, and security, particularly in Arctic and marine environments. We categorize a sensor’s functionality into three areas: detection of an input event, computation of the detected event, and communication of the data. We develop an inexpensive, self-organizing network of devices that can reliably compute and communicate detected events. The computing device for each sensor node is the MoteineoR4 RFM69W. An integrated RFM69 transceiver enables wireless ISM band communications. A software simulator and hardware proof-of-concept consisting of a 7x7 array of nodes has been constructed. Our initial target application is to utilize acoustic and electromagnetic signal detectors to classify human vs. animal traffic in a remote area. 

The concurrent phase of the project includes the evaluation of the lifecycle cost (LOC) for the deployed sensor array. The LOC framework will be applied to the monitoring of the US-Canada border for intrusions deployment scenario. Assessment will employ common techniques in life cycle assessment with focus on geospatial array structure associated with terrain and climate as well as overall power requirements, proximity to urban areas and the end-of-life considerations. 

ASRC Federal Mission Solutions (AFMS) will identify, from the mission perspective, the systems involved in the Command and Control and Situational Awareness missions for multiple DHS projects, including USCG and Customs and Border Patrol. Using its experience as the USCG’s National Security Cutter C2/S2 system developer, AFMS will develop an integration strategy that will incorporate data from these sensors into tactical mission components for use by multiple echelons.

The team will initially use its open system architecture (OSA)- based C4 system for prototype component development and initial sensor integration and fusion. After initial integration of sensor data from both simulated and fielded sensors, the AFMS team will fuse the data into a tactical track picture and situational awareness display in order to prove the usefulness of the low-cost remote sensor approach for C2 and SA. The team will develop a set of decision aids to support events detected by the sensor network, including new contacts, lost contacts, indeterminate contact information requiring human-in-the-loop interpretation, as well as network readiness information. 

PROJECT: Development of Propeller Driven Long Range Autonomous Underwater Vehicle (LRAUV) for Under-Ice Mapping of Oil Spills and Environmental Hazards (LRAUV)

The increasing level of commercial marine activity in high latitudes creates an ever growing risk of oil spills.  Even in logistically accessible, ice-clear oceans, characterizing the extent and nature of a spill can be difficult as the Deepwater Horizon incident highlighted.  We propose to develop an AUV-based approach leveraging a small, long-range system developed by the PI, called the Tethys Long-Range AUV (LRAUV).  The LRAUV is helicopter-portable, allowing rapid response to incidents to provide situational awareness for first responders. 

Outcomes of this project will be construction of a small long-range AUV (LRAUV) equipped with oil sensors and navigation systems, demonstration of the LRAUV survey capability, and creation of a simulator for gaming AUV deployments for oil spills.  The resulting capability to survey oil spills at high latitudes and under ice answers an unmet need for DHS and the USCG.


Research to Capability Process. 


PROJECT: Arctic Education Implementing the Arctic Strategy in Training 

This project includes three courses developed and submitted over three years.  Years one and two have involved the construction of the Basic Ice Navigation course, which is complete and is currently being offered as a face-to-face class at Maine Maritime Academy.  The course has been submitted to the Coast Guard for approval for Standards of Training, Certification, and Watchkeeping (STCW) certification. 

The Advanced Ice Navigation course had been pushed into upcoming program year because of the expanded scope of the basic class.  It is in the development phase and we are currently working on building bridge simulations that will be a requirement for the course. 

PROJECT: Minority Serving Institution (MSI) and Workforce Development (WFD)

The Workforce Development (WFD) and Minority Serving Institutions (MSI) program components of ADAC Fellows involve qualified University of Alaska students (WFD) and students of Minority Serving Institutions (MSI) who are seeking degrees from across academic disciplines related to: advanced data analysis and visualization; communications and interoperability; community, commerce, and infrastructure resilience; emergency preparedness and response; maritime and port security; natural disasters and related geophysical studies; and decision sciences. The specific aim of the WFD/MSI programs is for the DHS Enterprise to employ the students who have graduated, and the ideal end-state of the CDG grant program is to two-fold: 1) to contribute to the growth of highly skilled workforce for Homeland Security agencies; and 2) to contribute to the capability of the US Coast Guard operator, in support of USCG missions in the Arctic. ADAC’s WFD component is a research internship program that occurs during the academic year for undergraduate and graduate students. With DHS funding approval occurring in November, 2016, the first WFD cohort is currently under recruitment for Spring semester, 2017. ADAC’s MSI component is a summer internship program, whereby we recruit and select junior and senior undergraduate students from partnering Minority Serving Institutions to participate in a 10-week, hands-on research project within one of the ADAC projects. The first such program will run in the summer of 2017. The MSI summer internship program recruitment targets student participation from outside the University of Alaska System, and even from beyond the existing ADAC Research Network of existing partnerships to extend the impact of the ADAC scientific and educational work more broadly across the country.

PROJECT: Integrated Arctic Maritime Education (Project Concluded)

Master’s in Arctic Engineering degree program at the University of Alaska Anchorage and Coastal Engineering online course content available to the public.  Courses support maritime workforce development. ADAC will monitor courseware use for life of grant in support of tracking and workforce development initiatives.   

PROJECT: DHS Career Development Grant (CDG) 

An important goal of the Center is to foster the next generation of scientists and engineers devoted to the discovery, development and improvement of technologies and applications for Arctic Maritime Domain Awareness, Response, and Resilience.  As originally presented by ADAC and approved by DHS S&T OUP, the Center proposes to award four scholarships annually for full time support for both undergraduate and graduate students who will contribute to an essential role for the center’s mission.   

Accordingly, with this coming year’s program, ADAC seeks to attract the highest caliber undergraduate and graduate students that are contributing towards ADAC sponsored science and engineering programs.  ADAC seeks CDG scholars to be the vanguard of the ADAC Fellows program, which will also include ADAC student researchers/interns in addition to CDG Scholars.

The Center intends to mentor and develop CDG students to be capable of competing for future opportunities in DHS and/or DHS enterprise careers.  Center leadership will put a particular focus in connecting CDG students in applied areas of science and technology.  Center leadership will also seek to provide CDG students opportunities to connect with research sponsored by DHS and/or USCG.

Consequently, Center leadership will seek to award CDG scholarships to qualified students who are seeking degrees from across academic disciplines related to: Advanced Data Analysis and Visualization, Communications and Interoperability, Community, Commerce, and Infrastructure Resilience, Emergency Preparedness and Response, Maritime and Port Security, Natural Disasters and Related Geophysical Studies, and Decision Sciences. 

As described in Education Outreach and Workforce Development, ADAC will mentor CDG Scholars as part of the overall ADAC Fellows program over the course of the planned program year for student enrichment.  In particular, events such as the planned Annual ADAC Student Research Symposium, summer interns and research needed in association with Incidents of National Significance Workshops, provide useful opportunities to incentivize CDG productiveness.

Select publications:

Alessa, L., Kliskey, A., Drukenmiller, M., Griffin, D., McKann, H., Myers, B., Pulsifer, P., Washburn, E., Beaujean, G., Behe, C., Jackson, L. 2016. Best Practices fro Community-based Observing. Report of a National Workshop, Oct 5-6, 2015. Center for Resilinet Communities, University of Idaho.  

Alessa, L., Williams, P., Kliskey, A., Beaujean, G. 2016. Incorporating Community-based Observing Networks and Systems: Toward a Regional Early Warning System for Enhanced Responses to Arctic Critical Events. Washington Journal of Environmental Law and Policy 6(1): 1-27.

Audubon, February 2016: Arctic on the Edge-Special Issue. Aboard the Last Ship to Nowhere-M Funk and E Horvath. Featuring J. Welker and E. Kleins’s ADAC sea ice and oil detection program.

Eicken, H., A. Mahoney, J. Jones, T. Heinrichs, H. Bader, D. Broderson, H. Statscewich, T. Ravens, M. Ivey, and A. Merten 2016. The Potential Contribution of Sustained, Integrated Observations to Arctic Maritime Domain Awareness and Common Operational Picture Development in a Hybrid Research-Operational Setting. Theme (s) 4.

Jones, J., H. Eicken, A. Mahoney, M. Rohith, C. Kambhamettu, Y. Fukamachi, K. I. Ohshima, and J. C. George 2016. Landfast sea ice breakouts: Stabilizing ice features, oceanic and atmospheric forcing at Barrow, Alaska. Continental Shelf Research, 126, 50-63.

Klein, E. S., and J. M. Welker. 2016. Influence of sea ice on ocean water vapor isotopes and Greenland ice core records. Geophysical. Research. Letters. 43, 12, 475–12,483, doi:10.1002/2016GL071748.

Kukulya, A. L., J. G. Bellingham, J. W. Kaeli, C. M. Reddy, M. A. Godin and R. N. Conmy. 2016. Development of a propeller driven long range autonomous underwater vehicle (LRAUV) for under-ice mapping of oil spills and environmental hazards: An Arctic Domain Center of Awareness project (ADAC). 2016 IEEE/Oceanic Engineering Society (OES) Autonomous Underwater Vehicles (AUV), Tokyo, Japan, 2016, pp95-100.URL:

Siewert S., V. Angoth, R. Krishnamurthy, K. Mani, K. Mock, S. B. Singh, S. Srivistava, C. Wagner, R. Claus, M. Vis. 2016. Software Defined Multi-Spectral Imaging for Arctic Sensor Networks, SPIE Proceedings, Volume 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII [program, h-index], Baltimore, Maryland, April 2016.

Siewert S., M. Vis, R. Claus, R. Krishnamurthy, S. B. Singh, A. K. Singh, S. Gunasekaran. 2017. Image and Information Fusion Experiments with a Software-Defined Multi-Spectral Imaging System for Aviation and Marine Sensor Networks. AIAA SciTech 2017 [program], Grapevine, Texas, January 2017.

Siewert S., J. Shihadeh, Randall Myers, Jay Khandhar, Vitaly Ivanov. 2014. Low Cost, High Performance and Efficiency Computational Photometer Design. SPIE Sensing Technology and Applications, SPIE Proceedings, Volume 9121, Baltimore, Maryland, May 2014.

ADAC Fellows

Career Development Grant (CDG) Fellows:

Matthew Ahlrichs:

As a graduate student, Matthew Ahlrichs assumes many responsibilities as an ADAC Fellow. Besides pursuing a master’s degree in Civil Engineering, Matt is assisting in the development and testing of an autonomous sensor network for remote areas. His involvement in this project addresses concerns regarding the cumulative environmental impact associated with this network. To accomplish these goals, Matt is developing a model that will estimate the number of sensors that will be needed and complete a Life Cycle Assessment (LCA). A LCA is aimed at quantifying the impact of these sensors on the environments they are looking to monitor and propose more sustainable solutions without sacrificing performance. Outside of his obligations at UAA, Matt can be found playing outside, cooking, and playing guitar.

James Matthews:

While being an undergraduate student, James Matthews assists the Arctic Domain Awareness Center (ADAC) as a valued ADAC Fellow. He is currently a university senior pursuing a civil engineering degree at UAA and is looking to specialize in Water Resources Engineering. Over the years he has been fortunate enough to have been involved in a number of engineering internships as well as plenty of leadership positions at the university. Before his involvement with ADAC James had engineering experience with the Alaska Department of Transportation and McGoey, Hauser & Edsall, a consulting engineering firm in Matamoras, PA. He also co-founded and co-owned a landscaping business that is still prospering and growing today. Having joined ADAC in March of 2016, James has complete literary reviews on published journals and used expertise to provide insight and notions of innovation for the department. He has worked under the Department of Homeland Security (DHS) to address Arctic Incidents of National Significance (IONS) and worked with the US Coast Guard (USCG) to develop ideas to increase response time and reduce risk in the Arctic with regards to traveling by sea. In addition, he has taken on responsibilities to handle social media platforms for ADAC as well as help out the center in other responsibilities as needed. Through his fellowship with ADAC, James was granted and participated in an internship with ARTEC Alaska over the summer of 2016. This opportunity immersed him in work involving Over and Above (O&A) projects contracted out by the Air Force concerning 16 radar sites around Alaska. By preparing purchase requests for equipment and supplies needed, flying to Fort Yukon to oversee a new Fast Plant system installation, and being exposed to several engineering disciplines, he discovered the associated challenges that come with performing engineering and construction in the Arctic. James plans on pursuing a career with the Department of Homeland Security upon graduation. When asked about his intentions on pursuing such a career James stated, "My career goals include performing quality work and research to better the environment and keep the public safe and worry free. The Department of Homeland Securities' (DHS) mission to keep the homeland safe, secure and resistant against terrorism and other hazards are undertakings I not only support, but that I value highly and would like to be a continue to part of. I believe that by offering my skill set to the DHS, I can help them as department make decisions and address issues in such a way as to not only hold true to this mission statement, but help mold me into an individual with a strong sense of integrity who is dedicated to helping his neighbors before himself."

Leif Hammes:

Leif Hammes is a graduate student at UAA pursing a MS in Civil Engineering. Having completed a BS in Geology, he is interested in coastal erosion and hydro-geomorphic processes. His thesis focuses on a coastal erosion model along permafrost coasts. After spending several years away, Leif was happy to return to Alaska. He and his wife had their first child, a baby girl, in September 2016. In his spare time Leif enjoys hiking, camping, traveling and exploring Alaska’s wild places.

Kyle Alvarado:

Kyle Alvarado’s undergraduate studies as a Mechanical Engineering student at UAA is part of pursuing his childhood desire to find a career as an Aerospace Engineer; focusing on Research and Development of machine designs. An advanced Arctic Engineering course has given him a unique insight on the challenges and solutions of cold regions’ engineering. He has a natural affinity for cold environment machine design for improving safety and quality. In collaboration with various professors and researchers, Kyle spent his summer of 2016 helping prepare the ADAC presentations for the Arctic Chinook. Kyle is eager to gain further experience in the international pursuit of safety in the Arctic.

Christina Hoy:

Christina was admitted to the ADAC Program Fall 2015 as a first year undergrad. Currently studying Civil Engineering, she plans on concentrating on Environmental and Water Resource Engineering. With opportunities granted by ADAC, Christina spent eight weeks participating in the Maritime Security Center’s Summer Research Institute hosted by Stephens Institute of Technology in Hoboken, New Jersey. She worked on a multidisciplinary research team focused on underwater acoustics and increasing situational awareness in remote maritime locations. Upon completion of the program, Christina and her team designed a self-sustaining hydrophone system fitted with a satellite system to report data recordings remotely to an email address. Christina also studied port security and operations, hoping to focus on this field specifically later in her college career. In her time at the University of Alaska Anchorage, she has been an active member of the UAA Chapter of the Society of Women Engineers where she holds the president position.

Workforce Development (WFD) Fellows:

Our current WFD fellows are students from the University of Alaska Anchorage (UAA) and University of Alaska Fairbanks (UAF):

Jessica Faust, seeking MS in Biological Sciences at UAA

Lonnie Young, seeking BS in Electrical Engineering, with a minor in Mathematics at UAA

Patrick Steckman, seeking BS is Geography, with concentration in Geospatial Sciences at UAF

Seth Campbell, seeking MS in Environmental Engineering at UAA

Kelsey Frazier, seeking BS in Mechanical Engineering at UAA

We will post updated bios for our WFD fellows once we get to the Fall 2017 semester. 


Academic Institutions:

Maine Maritime Academy

University of Idaho

University of Washington

Woods Hole Oceanographic Institute

US Coast Guard Academy and their Center for Arctic Study and Policy

Texas A&M University

University of New Mexico *

University of Texas El Paso *

Industry Partners:

Axiom Data Science

Alaska Marine Exchange

Dubay Business Services

NOVA DINE-Kestrel **

ASRC Federal Solutions **

Collaborative Organizations:

NOAA & National Weather Service

Canadian DND and Canadian Academic Researchers

USCG Headquarters, USCG Pacific Area, USCG Research & Development Center, and District 9 and 17

DoD Alaska Command and Alaska NORAD Region

Alaska Ocean Observation

NASA-OSD Arctic Collaborative Environment

DHS Centers of Excellence at Rutgers University, Stevens Institute and University of Houston

National Ice Center

National Science Foundation

* Federally Designated Minority Serving Institutions (MSI)

** Federally Designated Tribal Organizations (FDTO)