Industry Sofware Engineering Team (formerly known as CSE)- Accelerate Customers, Scale Impact, and Influence Product through the following: - Individual Accomplishments - Contributions to the success of others - Results that builds on the efforts of others- Deliver successful impact to create a diverse and inclusive culture where everyone can bring their full and authentic self, in alignment with Microsoft values

Commercial Software Engineering Machine Learning Dev Team- Work side by side with customers to produce machine learning/data science solutions that have never been done before - Push innovation back to product groups- Tell innovation story in blog posts and at conferencesPRESENTATIONS- H. Zhang, T. Zhao, B. Smith, and J. Mangiavacchi. "Large-Scale Multivariate Time-Series Forecasting." presented at Machine Learning, AI, and Data Science Conference Fall 2019, Microsoft, Redmond, WA.- B. Smith. "Applied ML with Python."​ presented at LEAP 2019, Microsoft, Redmond, WA.- B. Smith. "Application of AI in Sports." presented at World Rugby Innovation Summit 2018, Capgemini, San Francisco, CA.

Azure Security Engineering Team- Research of exploited vulnerabilities and ongoing attacks as well as methods to protect and detect future attacks.- Perform BigData analytics to check for attack indicators, identify normal vs. abnormal system/ user behavior and detect anomalies.- Develop a security analytics toolset, automation, and application of machine learning models which decreases Mean-Time to Detection (MTTD) and Mean-Time to Recovery (MTTR) for fraud and compromises.- Work with other Azure teams to act on data insights and to improve detection or defensive strategies.AWARDS/RECOGNITIONS- Winner of CloudML(AzureML) Tech Transfer Challenge 2014: Synthetic Minority Over-Sampling Technique (SMOTE) module- 12th place in AzureML March Madness 2015 competition- 5th place out of 40 in AzureML March Madness 2016 competition PRESENTATIONS- M. Olszewski and B. Smith. "Be Careful of the Company You Keep."​ presented at Practice of Machine Learning Conference Fall 2014, Microsoft, Redmond, WA.- P. Arewar, M. Olszewski, and B. Smith. "Finding Web Attacks in IIS Logs At Cloud Scale" presented at Blue Hat Briefing Day 2015 and Machine Learning and Data Science Conference Spring 2015, Microsoft, Redmond, WA.- B. Smith. "Lessons Learned While Developing a Web Attack Detector for Azure Security Center" presented at Machine Learning, Analytics, and Data Science Conference Spring 2016, Microsoft, Redmond, WA.

CS470: Computer Security- Facilitated and encouraged student participation in class and group discussions, activities, and projects.- Graded discussion group posts, homework, programming projects, and tests- Prepared the online course environment by updating Notes from Instructor and course announcements.- Attended and participated in both synchronous and asynchronous teaching group meetings - Recommend course improvements- Met weekly with Course Council to facilitate rapid turn-around on course improvements

2014-2015 School Year - Serving as co-teacher - Presented class lectures - Developed homework and programming assignments - Graded homework, programming projects, and tests - Administered formative assessments - Led AP Exam reviews- 18 out of 26 students scored 4 or better on the AP Exam (3.885 average)2013-2014 School Year - Served primarily as a teaching assistant - Graded homework, programming projects, and tests - Presented a number of class lectures - Administered formative assessments - Led Project Help Sessions - Led AP Exam reviews - Over half of the students that took the AP exam got a 4 or better

• Built a system utilizing speech recognition and voice authentication technologies to automate secure token help desk functions• Built a remote access solution allowing users single sign-on utilizing Kerberos credentials on a VPN• Developing enterprise software for smart card management and issuance

• Researched how to attest the hardware and software configuration of a voting machine• Built a system that guarantees information flow and hardware and software integrity utilizing the TPM in conjunction with Trusted Grub, SELinux, and the Enforcer Linux Security Module

• Managed a $.5 million advanced wireless project• Developed a Java-based GUI application for assessing risk for critical infrastructures• Developed and implemented attacks for an assessment of a security testbed• Developed an adversarial modeling tool to find the likely attack pathsPUBLICATIONS • J. Darby, J. Phelan, P. Sholander, B. Smith, A. Walter, and G. Wyss. “Evidence-Based Techniques for Evaluating Cyber Protection Systems for Critical Infrastructures.” Military Communication Conference (MILCOM 2006), Washington, DC, October 2006.• J. DePoy, J. Phelan, P. Sholander, B. Smith, G.B. Varnado, and G. Wyss. “Risk Assessment for Physical and Cyber Attacks on Critical Infrastructures.” Military Communication Conference (MILCOM 2005), Atlantic City, NJ, October 2005.

• Researched how to establish trust between strangers on the Internet using digital credentials• Worked in a two-man team to produce an implementation of Surrogate Trust Negotiation (STN), wireless trust negotiation, using SOAP and a simplified version of IPSEC’s Encapsulating Security Payload protocol• Key team member in designing (OOAD) and implementing TrustBuilder, an architecture for trust negotiation