Management Team

Andrea co-founded Stottler Henke in 1988 and managed projects and people to build the firm in size, revenue, and technical expertise. She led the seminal intelligent planning and scheduling work for NASA’s Kennedy Space Center. The Automated Manifest Planner encoded the expertise of experienced NASA engineers and was used at KSC to plan Space Shuttle processing and automatically set launch dates through the lifetime of the Shuttle program. This software became the basis for further intelligent planning and scheduling tools at other NASA sites and, eventually, the commercially available Aurora Intelligent Planning and Scheduling Tool. She has significant expertise in technical problem-solving, grant writing, and project and business management. She is focused on Stottler Henke’s business oversight and strategic management. Andrea has a BA degree in Computer Science from Boston University and a MS degree in Computer Science (Artificial Intelligence) from Stanford University.

Dick co-founded Stottler Henke in 1988 as a software company dedicated to providing practical solutions to difficult problems by skillfully drawing upon a large repertoire of artificial intelligence technologies. Under Dick’s leadership, Stottler Henke has grown steadily and profitably into a 60+ person research and software development company with distinctive expertise in intelligent tutoring systems, intelligent simulation, automated planning and scheduling, and intelligent knowledge management.

Dick provides technical leadership in the design and development of intelligent planning and scheduling systems, intelligent tutoring systems, and automated design systems. He combines a strong applied research record in artificial intelligence with practical experience in rapid and efficient knowledge engineering. He has led the development of intelligent tutoring systems that encode the expertise of instructors to provide practice-based learning and automated evaluation of student performance in subject areas spanning navy tactics; army tactics, command, and control; sonar data analysis; astronaut training; helicopter cockpit operations; and battlefield emergency medicine. He also led the development of intelligent planning systems for NASA space shuttle missions and aircraft assembly and automated scheduling for the International Space Station. He also led the development of intelligent systems that encode and apply human expertise and experience to automate the design of manufacturing processes and aircraft systems to lower manufacturing costs, increase product quality, or achieve demanding performance criteria.

Dick has written or presented more than two dozen papers and articles for publications such as the proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). He received his BS in engineering from Cornell University and his MS in computer science (artificial intelligence) from Stanford University.

Bridge is based in San Mateo and focuses on combining computer vision, machine learning, and automated scheduling systems. He designed and implemented the DeltaSat prototype processing satellite imagery to provide automated global change detection to human analysts, and also led the development of the SIFTIC, NITRO, and AMER systems which employ convolutional neural networks and transfer learning techniques to classify maritime targets from Infrared (IR) and Inverse Synthetic Aperture Radar (ISAR) imagery. He also leads the AVIAN project for autonomously landing drones on non-cooperative vessels as well as the scheduling system for fully lights-out scheduling of the SCAR phased array antenna network. Bridge received a BS degree majoring in Symbolic Systems with a concentration in Artificial Intelligence along with a secondary major in Computer Science from Stanford University.

Rob Richards’ responsibilities at Stottler Henke include Strategy and Business Development, with the ongoing commercialization of key innovative technologies. For example, Dr. Richards developed our relationship with Boeing, which resulted in Boeing’s purchase and widespread deployment of the Aurora intelligent project management and scheduling tool within its commercial and defense businesses. In addition Dr. Richards developed the relationship with Siemens where they now use Aurora as their scheduling engine in their Xcelerator line. Dr. Richards leads and has led the development of many other Aurora-related applications for customers such as: General Dynamics Electric Boat for optimal scheduling of the construction of nuclear submarines for the United States Navy; Los Alamos National Laboratory (LANL) for a wide variety of complex projects; Pfizer for efficient pharmaceutical product production and packaging; and an international vehicle company for the optimal configuration of test vehicles for crash safety testing.

In the field of simulation and training, Dr. Richards leads continuous improvement and development of the OMIA desktop simulator, which provides practice-based training for the Navy’s Common Cockpit MH-60S and MH-60R helicopters. Dr. Richards transitioned this SBIR-funded technology to a successfully deployed system which improves crewmember proficiency, saving the U.S. Navy tens of millions of dollars in training costs. Dr. Richards has also licensed OMIA to the Royal Australian Navy (RAN) and various other nations. Dr. Richards’ numerous publications and speaking engagements have led to many new business relationships. Rob received his BS degree from California Polytechnic State University, San Luis Obispo, and an MS and Ph.D. from Stanford University, all in Mechanical Engineering.

Dr. Sowmya Ramachandran’s research focuses on the application of artificial intelligence (AI) and machine learning (ML) to improve human performance in a broad range of domains. This includes research on topics such as adaptive learning and research assistants, adaptive training systems, and information retrieval, synthesis and summarization using state-of-the-art natural language processing techniques. Recently, her interests have grown in the direction of using Generative AI to enhance human performance. She has led research on developing a personalized research assistant tool using LLMs and another on the use of language models for automatic generation of multiple-choice test items from documents. Dr. Ramachandran has contributed extensively to the field of intelligent tutoring systems, developing adaptive training systems and authoring tools for a wide range of domains such as combat medicine, combat search and rescue operations, IT troubleshooting, and training tactical action officers. Her other area of interest is automated fault detection and diagnosis wherein she has led several projects for NASA.

Dr. Ramachandran has published extensively in conferences of high repute and served on program committees for leading education and training conferences. She has co-authored a book titled “Handbook of Augmented Reality Training Design Principles,” published by the Cambridge University Press. She holds a PhD in Computer Science from The University of Texas at Austin.

Randy Jensen has been working on artificial intelligence related research for military and private sector domains since 1992, with an emphasis on building intelligent, automated reasoning systems modeled on human decision-making. He has been the primary project manager on over 25 projects to date with Stottler Henke. Based in the San Mateo office, Randy’s group develops practical applications for automated inference and reasoning under uncertainty, multi-source data fusion, intelligent and adaptive training technology, communications analysis, and behavior modeling. He participates in all aspects of each project, from teambuilding to requirements, analysis, design, implementation, and evaluation. Randy particularly enjoys working with human experts in operational domains, to first understand their decision processes as a baseline for the design of solutions to facilitate or automate human taskloads in data rich environments. Application areas include space domain awareness, command-level decision-making, unmanned systems control, asymmetric warfare and tactics, Marine Corps combined arms, small unit tactics, and satellite communications scheduling. Non-military projects have included medical coaching systems and an expert advisor tool for architects and builders.

Randy previously worked at Xerox PARC where he constructed a natural language generator capability in an educational tool for teaching first order logic. He received a BS degree with honors in Symbolic Systems from Stanford University.

In addition to directing technical efforts, Jeremy plays an active role in shaping the company’s strategic direction as part of its leadership team. He works to set priorities, build partnerships, and cultivate an environment where innovation thrives. His career reflects a consistent commitment to turning research into real-world tools that improve operations and decision-making. He holds a PhD in Computer Science from the University of Oregon.

Annaka coordinates Aurora scheduling software development and deployment efforts across a wide range of domains. In addition to leading the requirements analysis and implementation efforts for a range of projects, she consults on most scheduling software implementations within the company in order to coordinate implementation strategies where possible and facilitate knowledge and feature sharing.

Since joining in 2001, she has worked on heuristic scheduling projects ranging from airplane assembly scheduling for Boeing, medical resident scheduling for Massachusetts General Hospital, and skilled auditor scheduling for a large mortgage auditing firm — among many others. Working with such a range of domains has given her insight into both key similarities across scheduling domains, and those details that make each implementation unique and interesting. Working with a variety of operational deployments has also given her insight into likely pitfalls when rolling out for a new domain, which allows each subsequent deployment to go more smoothly because common risks can be readily identified up front.

Annaka enjoys learning about new domains, and is passionate about developing software that addresses the unique needs of each client. Annaka graduated from Stanford with a BS in Symbolic Systems with Honors with a concentration in Artificial Intelligence. Her honors thesis explored applying machine learning to a game playing scenario.

Emilio’s group specializes in applying artificial intelligence to create cutting-edge solutions for mission planning, decision support, training, and data visualization. Innovations include the ViPER suite, a family of visual planning tools used by Navy air wings and submarines, and the Navy-deployed AN/BYG-1 Mission Planning Application (MPA), enabling dynamic submarine navigation planning within the Tactical Combat System.

Emilio’s group also developed the USW-DSS Threat Assessment and Prioritization (TAP) decision aid, which integrates data from multiple sources to identify and prioritize threats in anti-submarine warfare; and the LCAC Mission Planner, enabling planners and navigators to quickly plan the utilization of LCAC vehicles while ensuring compliance with safety, vehicle and mission constraints. Other tools include the TEAM suite for collaborative analysis, Task Tutor Toolkit™ for intelligent tutoring system development, TaskGuide™ for rapid training content creation, and DataMontage™, a powerful time-oriented data visualization system.

From autonomous systems and collaborative planning to intelligent training and mission-critical support, Emilio’s team delivers AI-powered software that transforms how complex military operations are planned, executed, and supported. Emilio holds a PhD in Computer Science from the University of Texas at Austin.

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