| | | | | |
Background, Interest,
and Capabilities | |
| | |
| | | | |
 | Loading… |
|
| Loading… |
| | |
| Loading… |
|
| | SHIPNEXT | Alexander Varvarenko | |
Small Business
|
Transportation
| Shipnext patented the process of moving the transportation industry from emails to a shipping platform. The process includes decrypting shipping data, cargo- and vessel schedules for the purpose of instant dynamic freight matching (cargo-to-ship and ship-to-cargo) and freight negotiations.
The patents cover USA, Europe, Japan, Singapore, and other countries.
With this Shipnext launched a shipping platform, that uses NLP, and machine-learning (AI-related technology) to facilitate users in finding the best freight solution for moving their cargo/freight using maritime (initially) and eventually road and air transportation.
Shipnext covers all types of trades regardless of the size, shape, quantity, type, or destination of the cargo.
This process of "uberizing" process is now in place for wet-bulk, dry-bulk, break-bulk, oversized, and containerized cargo.
Shipnext facilitates in being the best way of moving cargo overseas, based on freight (economic factors), time (timely delivery) or ecological impact (least damage to environment/CO2 produced per mt of cargo shipper).
Today Shipnext covers the whole of the international ocean-, sea- and river transportation. In the coming 1-year, we plan to add or integrate road and rail transport to cover and optimize the complete process of door-to-door transportation.
Shipnext today is a platform used by 3200+ users/companies worldwide and unites shippers, traders, forwarding and logistic companies, brokers, carrier, and transportation companies.
From a technological point of view, Shipnext is running both SaaS (software as a service) and MaaS (marketplace as a service) business models.
We are partners of Microsoft, members of the World Economic Forum, and participated in drafting their paper on the implementation of blockchain transportation and supply-chain, winners of numerous European and International prizes.
With this cooperation with the US Department of Energy, we seek to support and funding in helping us establish a full-time presence, in the US for the purpose of using our technology to optimize international and US-related transportation industry and achieve mid- and long-term economic and ecological goals. |
| |
| | ReVolt Battery Technology Corporation | Jan Naidu | |
Small Business
|
Transportation
| ReVolt based in the University of Houston Innovation Center provides software expertise, tools and AI based model development to enable EV infrastructure planning, deployment and monitoring.
We could provide Intermodal Infrastructure AI Models: Develop models of the national intermodal freight transportation network (i.e., moving freight by two or more modes of transportation -- e.g., trucks, trains, and cargo ships) that enable prioritization for energy infrastructure deployment, along with data required for the effective deployment of this optimized distribution system |
| TX |
| | Transship Corp | Amit Hasak | |
Small Business
|
Transportation
| Owned and operated a cold storage warehouse in Chicago for 25 years. Have owned and operated Transship Corp since 2017. Transship is a tech startup that has automated freight forwarding with a special emphasis on international shipments of perishable goods.
Transship's platform helps reduce food waste through real time tracking of every shipment's temperature and humidity. |
| IL |
| | NC State University | George List | |
Academic
|
Transportation
| Transportation energy consumption, logistics, supply chain management, freight mode choice selection, energy policy, decarbonization option assessment, railroads, trucking, maritime, ports, inland waterway transport, drayage, national energy use |
| NC |
| | Mary singleton | Mary singleton | |
Small Business
|
Transportation
| Researching the best ways for freight trucks to be delivered through the highways |
| NV |
| | SailPlan Maritime Inc. | Charlotte Runzel | |
Small Business
|
Other Energy Technologies
| SailPlan is an emissions measurement company that provides real-time emissions data, which is vital for decarbonization strategies. For example, emissions data informs strategies to optimize the operations and improve the efficiency of vessels such as engine temperature, vessel speed, fuel use, and more. SailPlan can also alert of maintenance and other issues such as methane leaks that cause heightened emissions, so the issue can be addressed immediately, rather than allowing for maintenance issues to get worse and emissions increases to go unaddressed. SailPlan brings a common-sense and practical perspective that supports industry while reaching decarbonization goals.
Measuring emissions is not only more accurate than calculating, but calculating emissions does not give insight into the existing operational inefficiencies of a vessel that can be improved. Measurement of emissions in real-time allows for entities to pinpoint the highest-emitting infrastructure, decide where to focus low-carbon investments, ensure the best return on investment, and maximize emissions reductions. SailPlan was initially created to support the maritime industry, but can be expanded to measure the emissions of rail and road transportation systems as well. |
| DC |
| | University of Minnesota | Saif Benjaafar | |
Academic
|
Transportation
| Optimal resource allocation using the tools of optimization, stochastic modeling and game theory with applications to transportation, supply chains and logistics, and on-demand mobility. Emphasis on sustainability and low carbon footprint solutions. |
| MN |
| | Thornhill Corporation | Martin Clyde Sheldon Weiss | |
Small Business
|
Other Energy Technologies
| What are we building?
We are developing a foundation model of the planet, and want to apply it to the energy sector. In the near-term, this model has the potential to help address the industry's challenges. In the longer term, we aim to increase energy efficiency, reduce carbon emissions, and improve sustainability in the energy sector. A technical pre-print of our work can be found here.
Who are we?
We (Frederik Trauble, Nasim Rahaman, Martin Weiss) are final year PhD students with a proven academic track-record in deep learning and modelling complex systems. We have experience working on large-scale models at tech companies including Facebook and Amazon, while collaborating with researchers from Microsoft and Google. Our passion lies in helping solve the challenges of the century, and we believe our technology will have a significant impact.
How far along are we?
We are continuing to develop the core technology, a general-purpose neural model that processes spatiotemporal sensor data in collaboration with our colleagues in academia and industry. We are beginning to explore industrial partnerships in the energy sector to validate the technology in the real world. We will be graduating before the end of this year and continue working on this full-time. |
| ME |
| | Blue Sky Maritime Coalition | Jennifer States | |
Non-Profit
|
Transportation
| Blue Sky Maritime Coalition Members recognize the need to address global climate change and are committed to accelerating the transitions of waterborne transportation in Canada and the United States toward net-zero GHG emissions.
Blue Sky Maritime Coalition members are organizations from across the entire waterborne transportation value chain that are dedicated to decarbonization and sustainability. Our members include ship builders, owners, and operators, academic and research institutions, charterers, classification societies, engine manufacturers, financial institutions and investors, fuel providers, government regulators, industry advisors, NGOs, port authorities, and other service providers. Each member organization's senior leadership is dedicated to Blue Sky Maritime Coalition's mission and are engaged in our drive to achieve progress.
The Coalition acts to accelerate the U.S. and Canada maritime value chain’s pathway to net zero greenhouse gas (GHG) emissions by jointly developing and executing a roadmap to a commercially viable net-zero emission logistics value chain. Cross-functional collaboration is utilized to enable swift mobilization and tangible, sustainable results. Through focused Workstreams, the Coalition identifies, evaluates, encourages, and engages in commercial and technical pathways and projects that deliver significant near-term reductions in GHG emissions and lead to commercially viable net-zero emissions.
Our diverse members across all aspects of the value chain can help support the efforts to develop infrastructure models that enable prioritization of low-carbon energy infrastructure deployment, along with access to data required for the effective deployment of this optimized distribution system. We can advise on the realities of the port and maritime freight transportation to help inform optimized models. |
| TX |
| | American Bureau of Shipping (ABS) | David Walker | |
Non-Profit
|
Transportation
| ABS is the not-for-profit marine classification, standards, and research organization for the U.S. Related to this opportunity, ABS is doing leading work on the modeling and optimization of marine transportation along routes and intermodal connections in ports to minimize emissions, optimize supply chain efficiency, and provide economically feasible options for shipment of cargo and passengers. In particular, ABS is applying this capability to Green Shipping Corridors that are being developed around the world.
ABS is very interested in partnering with other entities on the broader transportation supply chain objectives addressed in this announcement. |
| TX |
| | Clemson University | Bill Ferrell | |
Academic
|
| My background and research center on modeling and optimizing supply chain systems including operations within facilities and siting intermodal hubs. Currently, we are focusing on understanding implementation issues that are creating barriers to realizing the tremendous efficiency gains that are possible with collaborative logistics. Looking forward, a proliferation of electric freight carrying vehicles adds significant complexity and opportunity. |
| SC |
| | General Electric Company, GE Research | Annarita Giani | |
Large Business
|
Power Generation: Renewable
| Dr. Giani focuses on modeling and optimization for cybersecurity of energy systems, renewable resource integration and supply chain resilience.
GE’s research teams in Niskayuna have broad and deep capabilities in energy systems, transportation, modeling, optimization, machine learning and control. We can bring these technologies in innovative ways to optimize operational logistics improvements to minimize transportation-related energy and emissions while maximizing resiliency. They form a core part of a comprehensive research portfolio to advance the energy transition by accelerating renewables, advancing decarbonization, and building a 21st century grid to capably manage a zero carbon energy future. |
| NY |
| | National Renewable Energy Laboratory (NREL) | Jason Lustbader | |
Federally Funded Research and Development Center (FFRDC)
|
Transportation
| The Center for Integrated Mobility Systems (CIMS) at NREL pioneers world-class research accelerating the development of sustainable mobility technologies and strategies for passenger and freight transportation, with a focus on decarbonizing the transportation sector and combating climate change. Utilizing state-of-the-art methodologies, NREL's sustainable mobility research takes a whole-system approach to maximize energy savings, blazing new trails with novel approaches that combine vehicle, mobility system, and infrastructure modeling. Specialized capabilities and experience relevant to developing models of the intermodal freight transportation system include:
• Simulating local and regional freight movement, corresponding road vehicle traffic, and estimated energy demand by applying an agent-based approach.
• Simulating locomotive energy conversion and storage dynamics, train operation dynamics, and optimized demand-driven freight train scheduling.
• Macro-level modeling of the multimodal freight and passenger transportation system and evaluation of emerging technology scenarios considering adoption of new technologies, mode choice, refueling infrastructure, and other drivers of mobility demand and its changes over time..
• Accurately estimating energy consumption for a variety of road-based vehicle types over trips and sub-trips, which can be extended to other transportation modes.
• Simulating the discrete events of vehicle activities with implementation for airport shuttle planning, fleet operations, and electric vehicle charging.
• Simulating industry-level supply chain and logistics (e.g., wind turbines, green steel) using robust data on demand flow for manufacturing and transportation requirements and capabilities.
• Modeling power distribution systems in co-simulation with transportation and transmission systems. |
| CO |
| | Penn State University | Lorri Bennett | |
Academic
|
Transportation
| Penn State University is a current performer for ARPA E on the LOCOMOTIVES project (LOwering CO2: Models to
Optimize Train Infrastructure, Vehicles, and Energy Storage). We have developed the SCORE (Synthesis of Consists as Rolling Energy Micro-Grids) toolset which allows industry and OEMs to evaluate the cost and GHG emissions for alternative locomotive technologies on North American rail routes. The SCORE toolset consists of a unique Energy Longitudinal Train Dynamics model that determines optimal powering policies for alternative energy locomotive technologies on selected routes in the North America. It takes advantage of regenerative technologies on the route, reducing cost and GHG emissions for a given train consist. This toolset also data for the railroad lines and nodes captured in the North Atlantic Rail line and Node network, calculating route gradient, elevation and distances. for each line for proper analysist. The SCORE can be accessed here https://www.scorelocomotives.org/
In addition to our excellent success on the ARPA-E locomotives efforts Penn State has a world class Supply Chain and Information Systems department, a Hydrogen and Fuel Cell Research facility, the world class Larson Pennsylvania Transportation Institute, the Battery Energy Storage and technology Center, and the Railroad transportation Engineering program.
We are looking for software commercialization companies and freight management companies to team with for this proposal. |
| PA |
| | Glid | Kevin A. Damoa | |
Small Business
|
Transportation
| We are mobility company focused on deploying an intermodal product that bridges the gap between rail and road, while fulfilling both modes of transportation at a significantly reduced or completely decarbonized methodology. We are in the process of developing the he only patented-pending solution that allows you to move a fully loaded semi-trailer from the road to the rails without diesel or a driver (autonomously). Our goal is support the world by revisioning traditional on ground intermodal transportation.
Our Glīders are designed to carry a fully loaded semi-trailer (60,000-80,000 lbs) without any modifications to the trailer, on paved asphalt, cement, gravel or dirt and then transition to the rails by deploying full-sized rail wheels. While Glīd is focused on moving dry van or reefer semi trailers (35-47% of the total semi trailer market), Glīd will also be able to carry intermodal shipping containers. Once on the rails, our Glīders will be able to travel at train speeds of up to 70-80 Mph.
Our primary goals are to produced a streamlined transportation process, while eliminating access waste (to include cargo processing (i.e. cross docking, transloading, etc.), automate resource intense operations, and increase logistics program safety, while delivering a quality product that reduces life cycle cost, increases profitability to the end user at the lowest carbon footprint.
Our team consist of individuals with over 100 years of combined knowledge and experience in all modes of transportation from industries that include military and defense, aerospace, micromobility, electrification, aerospace, aviation, automotive, software, and energy. We are based out of Utah and California. The company is in it's first year of business.
We are excited to join and contribute on a team dedicated to improving the intermodal eco-system for a better tomorrow now. |
| UT |
| | Western Michigan University | Sandun Kuruppu | |
Academic
|
Transportation
| I'm a faculty member at Western Michigan University (WMU) and the director of WMU Transportation Electrification and Applied Mechatronics Lab (https://sites.google.com/view/wmu-teams-lab/). My previous industry experience include Nexteer Automotive, Delphi Electronics and Safety (now BorgWarner) and Texas Instruments Research Lab. WMU TEAMS lab has expertise in the broad area of energy conversion systems and fault diagnosis, electric vehicle dynamics and applied controls.
Our interests include:
- Evaluating advanced controls towards safeguarding the freight industry leveraging emerging cyber-physical capabilities
- Improve energy conversion system reliability through advanced monitoring technologies |
| MI |
| | Great Plains Development Authority | Brad Reams | |
State and/or Local Government
|
Transportation
| Kansas Proving Grounds provides turnkey infrastructure and large green field development opportunities suited for utilities, manufacturing, logistics while offering unique innovation partner opportunities. KPG’s unique entity formation allows for 60 days of less permitting and lower energy costs uncommon to comparable industrial parks. Tenants enjoy centralized
regional and national market access through excellent road and rail distribution networks.
Special Purpose Vehicles (SPVs) are being funded for industry focused investment opportunities centered on utilities, manufacturing, and logistics. KPG is positioned to attract regional and national innovation firms to test and integrate proof of concept research and development in the park. |
| KS |
| | Siemens Corporation, Technology | Jose Valenzuela Del Rio | |
Large Business
|
Transportation
| Siemens Corporation, Technology - a U.S. subsidiary of Siemens AG - is the company's central research and development unit, where employees shape Siemens technology and innovation strategy. Worldwide, the roughly 2,100 employees at Technology collaborate with Siemens business units in their work on the fundamental technologies of tomorrow that are important for the entire company.
Siemens has expertise and interest in the following areas:
-Developing, providing, operating and servicing rail infrastructure including associated digital products. This infrastructure is embedded into national and international freight transportation systems.
-Developing digital twins for products and infrastructure which allows the optimization and decision making during the design, construction, operation and update phases of the product and infrastructure.
-Supporting the electrification of transportation (from trains to electric cars) and buildings with products (both digital and physical) and solutions for proper asset planning and operation. |
| NJ |
| | University of Illinois Urbana-Champaign | Eleftheria Kontou | |
Academic
|
Transportation
| medium and heavy-duty transportation electrification, electricity rates and leveled cost of charging, assessment of environmental benefits and equity implications of freight decarbonization, charging management (including bidirectional) of electric freight operations |
| IL |
| | University of Texas at San Antonio | Hatim Osman Sharif | |
Academic
|
Transportation
| The School of Civil & Environmental Engineering and Construction Management at the University of Texas at San Antonio (UTSA) includes experienced transportation professionals with a strong background in advanced modeling of the intermodal freight transportation system. UTSA is a Tier I Hispanic institution with substantial enrollment of minority and first-generation students. Moreover, San Antonio is located near the Texas-Mexico border with freight traveling through the city to border check points daily. The School’s breadth allows for holistic system analysis encompassing infrastructure, extreme weather impacts, sustainability, emissions, efficiency, and automation. Expertise includes the use of advanced optimization techniques, simulation models, and data analytics to improve efficiency and effectiveness of intermodal freight transportation. Faculty members have in-depth knowledge of the intermodal transportation system, including rail, truck, and marine transportation, as well as the interactions between these modes and with autonomous trucks. Faculty have combined relevant work experience of over 200 years, including development of optimization models for intermodal freight routing, design of intermodal transportation networks, assessment of the impacts of new technologies on the system, and experience with Triple-Bottom Line Assessment of Intermodal Facilities. Other completed projects detail autonomous truck impacts on intermodal transportation, highway infrastructure, energy systems, and Texas-Mexico border freight issues. Team members also worked on projects related to the integration of intermodal transportation with other transportation modes, such as public and active transportation. Faculty members and their research groups have extensive experience in using a wide range of advanced modeling tools and techniques, including linear and nonlinear programming, stochastic optimization, machine learning, and agent-based simulation. Faculty and students are proficient in using data analytics tools to analyze large datasets and extract insights to inform decision-making. Faculty also have a strong ability to translate complex technical concepts into actionable, policy-relevant recommendations and integrate stakeholders from industry, government, and academia. Recently, we led a team of engineers and analysts to submit a major proposal to develop advanced models to support the planning and operation of intermodal freight transportation. |
| TX |
| | Oak Ridge National Lab | Rich Davies | |
Federally Funded Research and Development Center (FFRDC)
|
Transportation
| The Vehicle and Mobility Systems Research Section is leading research in analysis, simulations and experimental prototyping and demonstrations, at both the vehicle and traffic system levels, to accelerate the development of advanced transportation technologies for connected and automated vehicles (CAVs) and electric vehicles. The section consists of four groups focusing on vehicle components, virtual and physical vehicle systems, and full traffic networks.
(1) The Transportation Analytics & Decision Sciences Group seeks to find sustainable multi-modal (air, land, water, pipelines) solutions to passenger and freight transportation challenges within the broad context of environmental, social, and economic goals.
(2) The Mobility and Energy Transitions Analysis Group leads research on how new technologies related to transportation affect the broader social, economic, infrastructure, and technological systems.
(3) The Vehicle Systems Research Group conducts virtual and advanced hardware-in-the-loop research to accelerate the development of transportation technologies from component-level to full traffic network including electrification and connected and automated vehicles.
(4) The Vehicle Power Electronics Research Group provides science and technology innovations in power electronic converters for use with vehicular applications including land, sea, undersea, rail, aerial, and space vehicles; including medium and heavy-duty and off-road vehicles. |
| TN |
| | Texas A&M Transportation Institute | Sushant Sharma | |
Academic
|
Transportation
| The Texas A&M Transportation Institute (TTI) is an agency of the State of Texas and member of The Texas A&M University System. For 70 years, TTI has addressed complex transportation challenges and opportunities with innovation, objectivity and unmatched technical expertise.
Dr. Sharma is expert in multi-resolution modeling, freight modeling and transportation systems modeling. He is chair of TRB's Freight Transportation Planning and Logistics Committee and chair of WCTR Special Interest Group of Freight Transport Modeling.
Dr. Sharma is known for his expertise in network modeling, travel demand modeling, freight planning, modeling and simulations, big-data analysis, and traffic operations. Over the last decade, he has led or worked on numerous research and consulting projects sponsored by FHWA, NCHRP, SHRP 2, UTCs, and State DOTs (INDOT, TxDOT, etc.). For example, Dr. Sharma is currently leading NCHRP Project No. 23-13(05) Regulatory Relief of Commercial Vehicle Weight Requirements for Emergency Transportation of Critical Commodities. He was also task lead TxDOT research project 0-6837 Assessment of Innovative and Automated Freight Systems and Development of Evaluation Tools—Phase III. Dr. Sharma recently led and completed a Center for International Intelligent Transportation Research Project that developed and explored Machine learning (ML) methods for Commercial Vehicle Wait Time Prediction at a border crossing.
In addition to working on projects, Dr. Sharma has published a book chapter, ~50 peer-reviewed journal and conference papers, and 23 technical/research reports on topics. |
| TX |
| | The University of North Carolina at Charlotte | Srinivas S. Pulugurtha | |
Academic
|
Transportation
| Dr. Srinivas S. Pulugurtha, P.E., F.ASCE is currently working as Professor and Research Director of Civil & Environmental Engineering Department at the University of North Carolina at Charlotte (UNC Charlotte). He is also serving as the Director of Infrastructure, Design, Environment, and Sustainability (IDEAS) Center at UNC Charlotte. Additionally, he is a faculty affiliate of the School of Data Science at UNC Charlotte. During his 27-year tenure as a researcher, Dr. Pulugurtha has served as a Principal Investigator (PI) or co-PI on 85 transportation related sponsored projects/grants, published 248 peer-reviewed papers (includes 124 journal papers), and authored/co-authored over 300 conference presentations. He also has experience leading multi-institutional/cross-disciplinary initiatives and served in various leadership roles. His research collaborators include faculty and research staff of Civil & Environmental Engineering, Computer Science, Systems Engineering, Construction Engineering/Management, Electrical & Computer Engineering, Mechanical Engineering, Geography, Public Policy, Political Science, and Architecture departments.
The sponsors of Dr. Pulugurtha’s projects/grants range from federal and state agencies to regional and local agencies as well as private sector and non-profit organizations. His experience and knowledge in computer modeling and adaptation of emerging technologies are germane to the development of tools and techniques for quantitative analysis of transportation systems to support decision-making. Relevant projects include freight related market research study, analysis of radioactive waste transportation by rail and highway, operational and safety affects associated with heavy vehicles and public transportation systems, transportation energy, development of decision support tools, and collaborated on statewide freight logistics and regional freight mobility plans. His interests and expertise also include multimodal (transit, walking and bicycling) and intermodal transportation, traffic safety & operations, intelligent transportation systems (ITS), connected and automated vehicles (CAVs), transportation planning, data analytics and visualization (includes geographic information systems – GIS, artificial intelligence - AI, operations research - OR, and statistical analysis/modeling), and Internet mapping applications. |
| NC |
| | Oklahoma State University | Austin Buchanan | |
Academic
|
Transportation
| My research focuses on combinatorial optimization problems in graphs or networks. I am particularly interested in solving problems with connectivity/distance constraints. I have previous experience working on a lane assignment tool for trucking and created a logistics cost estimation tool for the biofuel refinery industry. Methodologically, I have experience in graphs, networks, mathematical optimization, integer programming, combinatorial optimization, network optimization, etc. |
| OK |
| | Oklahoma State University | Balabhaskar Balasundaram | |
Academic
|
Transportation
| I have methodology expertise in network optimization, specifically in integer linear programming (ILP) techniques and network flow algorithms (shortest paths, min cost flows, max flows). In the recent past I have worked on ILP methods to design multi-path, disruption-tolerant, fault-tolerant network topologies, sometimes called resilient or survivable network design problems, in deterministic and stochastic settings. I also worked (10+ years ago) with a colleague on freight movement modeling in the state of Oklahoma that was funded by the Oklahoma Transportation Center. I am interested in this topic as a challenging application of optimization and operations research. Although I possess significant methodological training and expertise in mathematical optimization, I lack the domain expertise in inter-modal transportation systems and energy systems. I think I can be a strong collaborator for someone who is a domain expert with the overall vision and is familiar with the aforementioned areas but not necessarily possess the optimization expertise.
Broadly, my past research has been sponsored by the NSF, DoE, AFOSR, and industry. Publications coauthored with my students and other collaborators have appeared in flagship journals in my field including Operations Research, INFORMS Journal on Computing, INFORMS Journal on Optimization, and INFORMS Journal on Applied Analytics, among others. I serve on the editorial boards of Networks (Wiley) and Journal of Global Optimization (Springer). My website (https://baski.me/) includes preprints of recent work and my current CV. |
| OK |
| Loading… |
|