Machine Learning Systems Design

Position Applied for: Principal Systems Engineer - Systems Modelling, Design, Analysis, Simulation, and Evaluation; Artificial Intelligence, Deep Learning, and Machine Learning, and Computer Vision Algorithms Development for Autonomous Systems Design; AI Decision Support System (AI-DSS) to achieve Human Machine Teaming (HMT) construct for specific Special Operations Forces (SOF) mission; Guidance, Navigation, and Control (GNC) System Design.

Professional Summary

Reference: Multi-Sensor (Radar, Lidar, IR, and RF) Systems Modeling and Simulation for Multi-Target Tracking and Identification; Command, Control, Communications, Computers and Intelligence (C4I); Intelligence, Surveillance and Reconnaissance (ISR); Guidance Navigation and Control (GNC) Systems engineering/Modeling-Design-Analysis-Simulation-Evaluation of Engineering Systems Design and Development: AI, Deep Learning (DL) and Machine Learning (ML) Algorithms Development; AI-DSS to achieve HMT construct SOF mission using primarily MATLAB/Simulink programs and other related computer programs.

Objective: Systems Engineering including Mathematical Modeling-Design-Analysis-Simulation-Evaluation of Engineering Systems Design and Development; Statistical System Analysis, Estimation and Control Systems Design; Intelligence, Surveillance and Reconnaissance (ISR); Guidance, Navigation, and Control (GNC) Systems Design; Multi-sensor (Radar, RF and Optical Systems) Data Fusion, Multi-target Tracking and Classification System Design; Designing a complete communication system; Signal and Data Processing Algorithms, Architectures and Techniques in Command, Control, Communications, Computers and Intelligence (C4I) Systems; AI, DL and ML and Computer Vision algorithms development for Autonomous systems design.

Security Clearance

Currently, I do not have security clearance and am able to obtain one.

The following are previously held secret clearances:

1.Sensor Data Integration, Littleton, MA from 2006 – Present (Security Clearance Application submitted to DHS and Secret Clearance is under consideration.

2.Sensor Data Integration, Inc., Concord, MA from 1988 – 1990 (approximate date)

3.Geo-Centers, Inc., Newton, MA from 1989 – 1992

4.Sperry Corporation, Waltham, MA from 1984 – 1987

5.Dynamics Research Corporation, Wilmington, MA from 1980-1984

6.Charles Stark Draper Laboratory, Inc., Cambridge, MA 1976 – 1980

Education

1.University of Florida, Gainesville, Florida, Ph.D. in Electrical Engineering (Major: Control Systems, Minor: Mathematics)

2.University of Florida, Gainesville, Florida, Master in Engineering in Electrical Engineering (M.E.E.E) (Major Control Systems and Minor: Mathematics)

3.University of Evansville, Evansville, Indiana, Bachelor of Arts (B. A) in Biology and Chemistry

4.University of Calcutta, Calcutta, India, Bachelor of Engineering in Electrical Engineering (B.E.E.E) with minor: Mathematics

Professional Experience

Technical Skills

FORTRAN, C, C++, Mat Lab, MINITAB, Microsoft Excel 2013, SQL, Deep Learning and Machine Learning, Python Programming with Python Data Science libraries (numpy, pandas, and scikit-learn), Natural Language Processing (NLP), Working Experience on Java, Excellent communication and writing skills.

Education

University of Florida, Gainesville, Florida, Ph.D. in Electrical Engineering (Major: Control Systems, Minor: Mathematics)

University of Florida, Gainesville, Florida, Master in Engineering in Electrical Engineering (M.E.E.E) (Major Control Systems and Minor: Mathematics)

University of Evansville, Evansville, Indiana, Bachelor of Arts (B. A) in Biology and Chemistry

University of Calcutta, Calcutta, India, Bachelor of Engineering in Electrical Engineering (B.E.E.E) with minor: Mathematics

Professional Experience

Sensor Data Integration, Alexandria, VA and Littleton, MA 9/2006 – Present

Senior Scientist

Developed software systems involving simulation, modeling, and statistical multi-sensor (Radar, Lidar, RF and IR) data processing for target classification and RF Link Budget analysis using MATLAB, C++, and Python programs. Performed radio link budget analysis for designing a complete radio communication system. Many research papers have been presented at conferences and published in the conference proceedings.

Worked on C4I systems for the U. S. Air Force. (Reference: Chaudhuri, S., “Artificial Intelligence Applications to Command, Control, and Communications Systems/Subsystems,” Final Technical Report, U.S. Air Force Contract No. F19628-87-C-0183, February 1988)

Worked on a project entitled Automatic Target Recognition of Personnel and Vehicles from an Unmanned Aerial System (UAS) using Machine Learning Algorithms for target identification and classification. (Reference: Paper Presented at IEEE National Aerospace and Electronic Conference, Dayton, OH, July 23-26, 2018)

Worked on a NLP ML application project to develop AI application for Emergency Management (EM) such as prevention, response and recovery from human-initiated emergency incidents using NLP technology, Big data analytics along with Appache Hadoop/Appache Flink Stream processing technology. . (Reference: Paper Presented at IEEE National Aerospace and Electronic Conference, Dayton, OH, July 15-18, 2019)

Working on Deep Learning Architecture for a Wide Variety of Sensors for Autonomous Driving Research. The goal of this research topic is to overcome current limitation by expanding the research of deep learning to additional sensors, such as LIDAR and radar that have been less studied, but are crucial for autonomous vehicles in degraded visual environment. Additionally, this research has investigated multiple sensory inputs fused with a deep learning architecture to improve the robustness of the system. This project is still going on and will end by the middle of January 2020.

Reference: Chaudhuri, S., “Neural Networks for Automatic Target Recognition from an unmanned Aerial System,” IEEE National Aerospace and Electronics Conference, Dayton, OH, July 23 – 26, 2018.

Chaudhuri, S., “Future Emergency Management through Artificial Intelligence,” IEEE National Aerospace and Electronics Conference, Dayton, Ohio, July 15-18, 2019.

Working on AI-DSS to achieve a HMT construct for a specific SOF mission.

University of Virginia, Charlottesville, VA 08/09 – Present

Adjunct Faculty

Developed and taught a course entitled Business Analytics for Decision Making.

University of Northern Virginia Community College, Annandale Campus, Virginia 01/10 – Present

Adjunct Faculty

Taught Pre-Calculus, Calculus and Statistics courses for 53 semesters.

University of Maryland University College, College Park, Maryland 06/99 – 08/06

Collegiate Associate Professor

Developed curricula and taught MIS, Information Security Systems, Computer Forensics in Information Technology courses at the Graduate School of Management and Technology (online graduate courses); and Supervised Doctoral Dissertation Project in the areas of business management

California National University, Torrance, California 09/94 – 01/2018

Adjunct Faculty

Developed and taught online undergraduate and graduate courses in electrical, computer and environmental engineering, project management and Supervised Master’s thesis, capstones project reports.

Sensor Data Integration, Inc., Concord, MA 1987 – 1994

Senior Scientist

Managed and completed several software projects involving electro-optical sensors, electromagnetic sensors, acoustic sensors for Multitarget tracking and classification, expert systems, fuzzy neural networks for the U.S, Air Force and U. S. Navy.

References:

Chaudhuri, S., “Artificial Intelligence Applications to Command, Control, and Communications Systems/Subsystems,” Final Technical Report, U. S. Air Force Contract No. F19628-87-C-0183.

Chaudhuri, S., “Data Fusin,” Final Technical report, U. S., Navy Contract No. N66001-89-C-7084, March 1990.

Northeastern University, Boston, MA 09-78 – 12/94

Adjunct Faculty

Supervised Master’s thesis and taught graduate and undergraduate courses in the areas of electrical engineering.

University of Massachusetts, Lowell, MA 09/82 – 08/06

Adjunct Faculty

Taught electrical engineering graduate and undergraduate courses and supervised Master’s Thesis projects.

Harvard University, Cambridge, MA 09/93 – 06/95

Adjunct Faculty

Taught and supervised research projects in the following area:

Artificial Neural Networks

Geo-Centers, Inc., Newton, MA 5/89 – 10/92

Senior Scientist

Worked as a project leader for the following projects for the U. S. Army:

Developed mine detector image/discriminator using multisensor data fusion

Worked on wide area mine detection projects

Sperry Corporation, Waltham, MA 4/84 – 12/87

Principal Member of Engineering Staff

Worked as a project leader for the following projects for the U. S. Air Force and Navy:

Managed 2 R&D engineers for multisensor data fusion program development

Dynamics Research Corporation, Wilmington, MA 8/80 – 3/84

Senior Systems Analysis Engineer

Worked as a Project Leader for the following projects for the U. S. Air Force and Navy:

Development of multitarget multisensor data correlation and fusion algorithm alternatives

Data fusion-based target identification and classification projects

Charles Stark Draper Laboratory, Inc., Cambridge, MA 6/76 – 8/80

Member of Technical Staff

Worked on the following projects for the U. S. Air Force and Navy:

Adaptive estimator for inertial navigation system

Guidance, navigation and control systems design for missile systems

Some of the Publications are:

1. Chaudhuri, S. and Crandall, A. and Reidy, D., “Multi-sensor Data Fusion for Mine Detection,” Proceedings of SPIE – The International Society for Optical Engineering, Sensor Fusion III, Orlando, FL, April 1989.

2. Chaudhuri, S. and Das, S., “Neural Networks for Data Fusion”, Proceedings IEEE International Conference on Systems Engineering, Pittsburgh, PA, August 1990.

3. Chaudhuri, S., “Object Identification in a Simulated Battlefield Using Artificial Intelligence Techniques,” Proceedings 1983 IEEE Military Communications Conference, MILCOM ’83, Washington, DC, October 31-November 2, 1983.

4. Chaudhuri, S., “Artificial Intelligence Applications to Command, Control, and Communications Systems/Subsystems,” Final Technical Report, U.S. Air Force Contract No. F19628-87-C-0183, February 1988.

5. Chaudhuri, S., “Data Fusion,” Final Technical Report, U.S. Navy Contract No. N66001-89-C-7084, March 1990.

6. Chaudhuri, S., “One-Day Tutorial on Neural Networks: From Foundations to

Applications,” International Computing Congress, Hyderabad, India, December 26, 1991.

7. Chaudhuri, S., Chairperson of the “Target Tracking and Identification Using Kalman Filters and Probabilistic Ontologies,” thesis written by Robert L. Simmons at California National University for Advanced Studies, Northridge, California, January 2010.

8. Chaudhuri, S., Chairperson of Session7-3-5: Nuclear Engineering Computation at “Low Carbon Earth Summit-2011,” Dalian, China, October 19-26, 2011.

9. Chaudhuri, S., “Multiple Level PRA Modeling for Estimating Most Likely Failure Modes in Nuclear Power Plants,” Presented at NEF - 2015, Xian, China, September 24-26, 2015

10. Elliott, Paul, and Chaudhuri, S., “GPS Antenna for Spinning Satellite” SBIR Topic AF 99-251 Phase I, Contract # F33615-99-C-1462. The report was presented to the U. S. Air Force in 2001

11. Chaudhuri, S., Presented A One-Day Course on Multi-sensor Data Fusion, Target Tracking and Classification to SPIE Defense Security and Sensing 2010, Orlando, Florida, 2010, April 5-9, 2010.

12. Chaudhuri, S., Neural Networks for Automatic Target Recognition from an Unmanned Aerial Systems,” IEEE National Aerospace and Electronics Conference, Dayton, Ohio, July 23-26, 2018.

13. Chaudhuri, S., Future Emergency Management through Artificial Intelligence,” IEEE National Aerospace and Electronics Conference, Dayton, Ohio, July 15-18, 2019.

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