Michael Wang, Phd Email & Phone Number

Boston, Ma, Us

Woburn, Ma, Us

• Directed business development and strategy for all Dept. of Defense (DoD) Research & Development (R&D) pursuits in the “Special Products and Applied Research Concepts (SPARC) Group,” totaling $30M+ in new business• Awarded 2 contracts in continued business by driving frequent customer interactions to understand changing customer requirements, responsively engineering solution demos to address stated needs, and helping customers navigate their respective organizations• Led team of 14 to build AI-enabled cyber-secure communications for the DoD, which used reinforcement learning and anomaly detection to discover and mitigate cyber threats; owned project management, negotiation, and day-to-day client mgmtTechnical Details• Developed core technical insight and prototype for multiple proposals using reinforcement learning and cyber/communications networks• Performed technical innovation on cross-group innovation efforts, spanning Networking, Defensive Cyber, Innovative Mission Solutions, and Advanced Research CapabilitiesReports to Group Lead (VP) of Specialized Products and Advanced Research Capabilities (SPARC).

Woburn, Ma, Us

• Led marketing and business development of machine learning (deep neural networks and Generative AI) applications to problems in cybersecurity and reliable communication networks• Won follow-on contract by demonstrating fast, agile development on an AI-enabled planning system, achieved through coordination with operations teams to design and implement software processes that improved the pace and quality of deliveries• Mentored 5 researchers and software developers on technical execution and career guidance, resulting in organizational recognition of improved technical excellence and/or promotions for each menteeTechnical Details• Led a team of 12 that built an AI-enabled planning system, which uses Generative AI to automatically synthesize and assess plans of action for human review in order to minimize delays in planning• Designed, implemented, and fine-tuned deep learning models for multimedia segmentation, classification, and generation (GANs, Transformers, Diffusion models)

Woburn, Ma, Us

• Led a team of 12 that built an AI-enabled planning system, which used Generative AI to automatically synthesize and assess plans of action for human review in order to minimize delays in planning, evaluating and executing operations; owned project management, feature negotiation and day-to-day client management• Advocated for and implemented more inclusionary changes to company hiring processes as a Cyber division member on the inaugural STR DE&I committee, resulting in increased diversity of hired employees (+17% minority and +10% female YoY in 2020)Technical Details:• Prototyped synthesis of bounded, discrete data using ML (CNNs, GANs, Normalizing Flows)• Designed, implemented, and integrated models and latent representation of cyber-effects

Falls Church, Virginia, Us

• Led a team of 12 to build autonomous computer network architectures for the DoD using reinforcement learning algorithms to provision networked servers and internet routers to reliably support thousands of users’ computing needs in real-time• Published 2 papers on architecting the Internet of (Battlefield) Things (IoBT) describing how to enable AI-based decision-making across multiple communication protocols for resiliency• Conducted due diligence on high-impact cybersecurity startups for potential investment by BAE; responsible for technical due diligence and assessment of synergies between startups’ technologies and BAE product lines

Princeton, Nj, Us

Thesis: Client-centric Radio Access Network Selection in Heterogeneous Networks, with Dr. MungChiang (now President of Purdue University)• Led, performed, and presented research in collaboration with industry (Intel, Peraton Labs) and academic partners (HKUST, National Chiao Tung University) in applied machine learning (ML) for 5G networking and Edge/Fog/Cloud computing• Published 3 papers on applying AI to 5G wireless communications, which used different learning approaches to automatically sense radio environments around a cellular device and configure how to send/receive data without external instructions• Authored 3 papers on optimizing computer server resources for Cloud computing, which used a variety of optimization techniques to evaluate, prioritize, and execute computing tasks from multiple users efficientlyTechnical Details:• Developed learning algorithms for Radio Access Technology (RAT) selection in mobile devices incorporating 5G Millimeter-Wave technologies• Modeled fully-distributed RAT selection games in heterogeneous wireless networks in collaboration with Intel Labs• Designed and implemented application-aware Nash-bargaining for resource allocation within cloud data-centers in C++ and Java using MOSEK in collaboration with Applied Communication Sciences (now Peraton Labs).

Houston, Texas, Us

• Developed Raspberry Pi iBeacon prototype and Bluetooth-SMART beacon deployment for smart-office & -home (Project won 1st Prize in the 2014 HP Summer Internship Competition)

Master Of Business Administration - Mba

Ph.D, Electrical Engineering

B.S.; B.S., Electrical Engineering; Physics (Electronics Concentration)