• Manage geographically dispersed technical teams working on cutting-edge data analytics, aviation simulation, machine learning and artificial intelligence research projects • Support strategic planning of company’s future research portfolio with focus on exciting new areas of Urban Air Mobility (UAM), UAS Traffic Management (UTM), System-wide Safety Assurance, and the application of Artificial Intelligence/Machine Learning techniques in Aeronautics• Partner with cross-functional groups within the organization to develop future product portfolio• Lead development of data analytics, data visualization and simulation capabilities and competencies into the R&D organization, which are utilized by multiple teams within the organization• Lead technical proposal writer and proposal manager for NASA (NRA, SBIR) and FAA R&D pursuits

• Lead activities for fulfilling the technical committee charter of "fostering the development of improved air transportation systems and studying the impact of developments in aerospace technology on these systems”• Support administering of AIAA products and services, including conferences, publications, awards, and student design contests

Supporting the technical committee chairperson in fulfilling the technical committee charter of "fostering the development of improved air transportation systems and studying the impact of developments in aerospace technology on these systems". Responsibilities include developing, supporting, and administering AIAA products and services, including conferences, publications, awards, and student design contests.

Principal Investigator for NASA NRA Research Awards and NASA Small Business Innovative Research Awards• Responsible for defining the technical research approach, generating research results and presenting them to NASA, FAA and Industry experts• Managing geographically dispersed teams• Leading development of benefits-cost assessment for NASA-developed traffic management tool to be deployed at top 30 airports in the U.S.• Leading development of benefits-cost assessment for NASA-developed traffic management tool to be deployed at airline operations centers and enroute Air Traffic Control Centers in the U.S.• Leading development from initial concept to future full field operation of a new approach for automating and significantly improving current-day management air traffic flow demand-capacity balance problems. If successful research will result in savings of thousands of minutes of air traffic delays in the U.S.• Lead proposal writer and proposal manager for NRA and SBIR proposal efforts

NASA and FAA Air Traffic Management research projects

Principal Investigator (PI) for project "Novel, Multidisciplinary, Global Optimization Under Uncertainty"—Innovative ideas incubator project funded by NASA Aeronautics Research Institute (NARI) [Jan 2014 – Present]• Technical lead on winning NASA NRA proposal • Responsible for providing technical direction, managing & tracking multiple parallel modeling & simulation activities, conducting customer feedback meetings, designing simulation experiments and analyzing simulation results, and presenting them in a clear and effective manner to the NASA customer and the wider Air Traffic Management research community • Leading a medium size team of Saab and subcontractor researchers and s/w engineers to develop complex machine learning algorithms for air traffic prediction and optimization; • Leading integration of optimization and prediction modules into NASA air traffic simulation platform; • Involves use of Bayesian Belief Networks, Genetic algorithms, C++ and MATLAB• Developed innovative Bayesian Network estimation models and data-mining approachesPI for project "Certification Considerations for Adaptive Systems"—funded by NASA Langley Research Center [Sep 2013 – Present]• Technical lead on winning NASA proposal• Responsible for providing technical direction, managing, tracking, & overseeing literature review and adaptive systems analysis tasks, and presenting results to the NASA customer • Supported literature search and categorization of Artificial Intelligence system used in flight critical applications• Led a team effort to simulate mock flight certification of an flight-critical Artificial Intelligence systemProven Innovation and Proposal-win Track Record:• Successful pursuit of three major NASA NRA/other research proposals as the technical lead author• Successful co-lead of internal research project for integrated metroplex departure management

Co-PI for project "Integrated Metroplex Departure Manager"—Saab Sensis Internal Research Project Sep 2013 – Mar 2014• Lead technical author on winning IR&D proposal • Modeled complex interacting traffic flows in New York metroplex (surface and airspace) via analysis of recorded track data and information-gathering from operational personnel• Developed concept for scheduling departure operations from proximate metroplex airports• Supported demonstration of ANSP/airline-customer focused product benefits via simulation PI for project "Adaptation of a Surface Traffic Management Tool to Multiple Capacity Constrained Airports" (Sep 2010 – Mar 2013)• Technical lead on winning NASA NRA proposal• Provided technical direction,concept development, and task planning • Designed and directed simulation experiments • Directed development and s/w integration of optimization modules with NASA’s airport traffic simulator (SOSS) involving Mixed Integer Linear Programming, CPLEX and C++• Led airport simulation validation using ASDE-X data analysis and site-visit observationsPI and PM for project “Advanced Traffic Flow Management (TFM) Validation Techniques” (Nov 2010 – Dec 2013)• Technical lead on winning NASA NRA proposal • Responsible for providing technical direction, project management, concept development and customer interface• Led a mid-size team of researchers and s/w engineers to integrate TFM optimization s/w with a NAS-wide air traffic simulator involving Integer Programming, CPLEX, Java, C++ and MATLAB• Led TFM model validation effort by applying data-mining and Operations Research methods using multiple aviation databases such as ASDE-X, ASDI, BTS, ASPM• Developed Stochastic TFM algorithmsProven Innovation and Proposal-win Track Record:• Won two Sensis internal competitive awards for innovative concepts• Successful pursuit of two major NASA NRA research proposals as the technical lead author; technical support on many others

PM and Optimization Expert, “Integrated Metroplex Arrival and Departure Coordination Concept” (June 2010-June 2011)• Key contributor in the areas of time-based scheduling, metroplex operations modeling, and integration of scheduling algorithms in terminal simulations• Was responsible for managing & tracking multiple parallel modeling and simulation activities, interfacing with the prime contractor team and planning Saab Sensis tasks in support of the team activities, analyzing simulation results, and presenting them to the teamTraffic Management Algorithm Expert, “ACES Terminal Modeling Enhancement” (Jun 2010-Jun 2011)• Developed models of arrival schedulers that emulate NASA’s CTAS and McTMA arrival scheduling processesSoCal Metroplex RNP/RNAV Design for Super Dense Operations (Jun 2010 – Mar 2011)• Technical lead on the winning proposal• Provided technical support for the design of En Route and Terminal Area RNP/RNAV airspace procedures and routes for SoCal TRACON NextGen airspace design research.Airport and Terminal Modeling Lead and Simulation Analyst, “System Level Design Analysis and Simulation Tools (SLDAST)” (October 2007 – October 2009)• Team-lead for the Sensis airport and terminal modeling team consisting of five Research Engineers. Our team developed over 50 detailed airport link-node models, and more than 20 functioning airport and terminal airspace traffic control models for the top U.S. airports and terminal areas.• Performed benefit analysis to evaluate the impact of using coordinated departure scheduling decision-support-tool at a major NAS metroplex—New York—using NASA’s ACES simulation system and high fidelity models of New York area airports and the New York TRACON airspace.• Served as the liaison between the NASA SLDAST Research Focus Area (RFA) and the NASA Airportal and Metroplex Integration (AMI) RFA

• Conceived and developed an adaptive aggregate (Eulerian) network flow model in MATLAB for air traffic flows in the Fort Worth Center • Developed Model Predictive Control Theory based optimization algorithm and assessed its application to the computation of optimal Traffic Flow Management (TFM) control strategies• Developed the Distributed Optimal Scheduling Algorithm (DOSA) for optimal scheduling of airport arrivals using a hierarchical scheduling structure for mitigating trajectory prediction uncertainty effects.• Developed a Model Predictive Control scheme for computing optimal airport acceptance rate and optimal minutes-in-trail restrictions at multiple metering points, using an aggregate traffic flow model for a representative Terminal airspace.• Developed strategic trajectory-based (Lagrangian) optimization technique involving hybrid aircraft models, for optimal assignment of control actions to individual aircraft with a view to achieving an overall system-wide objective.• Developed a two-level combined Eulerian-Lagrangian control system for optimal traffic flow management.• Designed simulations in MATLAB for extensive testing of optimal scheduling and traffic flow management algorithms using (i) recorded ETMS data and (ii) Stochastic perturbations to nominal trajectory prediction based air traffic data.

• Augmented the self-conceived adaptive aggregate (Eulerian) network flow model for air traffic flows in the Fort Worth Center (one of the 20 centers in the U.S. airspace system), using Enhanced Traffic Management System (ETMS) data processed through NASA’s Future ATM Concepts Evaluation Tool (FACET) software• Gained hands-on experience with NASA’s Airspace Concepts Evaluation System (ACES) National Airspace System (NAS) simulation• Gained invaluable insights from NASA researchers regarding multiple issues in the fields of optimal scheduling of airport arrivals, modeling in air traffic control, and optimization in traffic flow management, for supporting doctoral dissertation work

Software Programming, Development of software requirements documents, and conducting software code reviews

• Institute of Armament Technology (IAT), Pune, India, is a premier Research and Development organization of Defense Research and Development Organization of Govt. of India. • Completed Bachelor ’s Degree Thesis work titled “Computer Controlled Tunable Dye Laser ” at IAT, under the guidance of M. Rajesh (Scientist B).• Designed circuits for triggering a tunable Dye Laser; developed specifications and handled purchasing of equipment required for the Laser; developed software for controlling a stepper motor for controlling the angle of a diffraction grating for tuning the Laser