Juan Soto

About. Juan Soto is a Puerto Rican Computer Scientist, Lecturer, Project Manager, and Researcher in the Database Systems and Information Management (DIMA) Group at the Technische Universitaet Berlin. His responsibilities include conducting data science research (e.g., automating exploratory data analysis, investigating numerical issues arising in big data analytics), contributing to grant writing efforts, coordinating TUB Data Analytics Lab activities, managing industrial projects, teaching a scalable analytics graduate course, supporting computer science and engineering graduate students, and technical editing of research papers and grant proposals, among other things. In addition, he is a Senior Consultant at the German Research Institute for Artificial Intelligence (DFKI) since July 2016. Over the past two decades, he has worked in varying computer science subfields, including business intelligence, computer vision, cybersecurity, embedded systems, health IT, mathematical science, remote sensing, software engineering, and statistical science. His primary areas of expertise include cybersecurity, data analysis, scientific/statistical/symbolic mathematical computing, and software engineering.

Professional Experience. In summer 2014, he was a Guest Researcher at the SICS Swedish ICT, in an effort to further grow the collaboration between the TUB Data Analytics Laboratory and SICS research teams and pursue a joint EU Horizon 2020 project proposal. Formerly, he was a Senior Project Manager in the TUB Security in Telecommunications Group and the Deutsche Telekom Innovation Laboratories, where he was responsible for boosting TUB's overall security research programs (e.g., supporting the Helmholtz Research School on Security Technologies), coordinating widespread activities, and driving TUB security initiatives. Prior to joining TUB in August 2012, he was a Project Leader & Senior Researcher in the Software Quality and Process Improvement domain at Fraunhofer FOKUS. When he lived in the United States, he held scientific (R&D) and engineering-systems oriented positions at Stanford Research Institute (SRI) International (Menlo Park, California), White Oak Technologies (Silver Spring, Maryland), the National Institute of Standards and Technology (Gaithersburg, Maryland), Entrust Technologies/Cygnacom Solutions (McLean, Virginia), and Lockheed-Martin (Valley Forge, Pennsylvania). Early in his career, he was a Mathematics Instructor at the Community College of Baltimore County (Baltimore, Maryland), where he taught courses in mathematics, computer programming, and statistical methods.

Supervised Thesis. 1. Marilyn Nowacka Barros, M.Sc. thesis on "Techniques for Hierarchical Product Classification," currently employed as a Data Engineer at Fyber. 2. Benjamin Pietrowicz, M.Sc. thesis on "Anomaly Detection in Online Monitoring," currenty employed at Biotronik. 3. Jessica Bongard, B.Sc. thesis on "Exploratory Data Analysis in Practice," currently pursuing an M.Sc. degree at ETHZ.

Awards. In 2001, he was awarded a United States Department of Commerce Gold Medal (the highest honor granted by the United States Secretary of Commerce for distinguished and exceptional performance) and an RSA Conference Public Policy Award both for Leadership in Developing the AES (Advanced Encryption Standard).

Education. Juan earned a B.S. in Computational Mathematics, an M.S. in Applied Mathematics, an M.S. in Computer Science, and a Graduate Certificate in Federal Statistics from the University of Puerto Rico, Stony Brook University, the University of Delaware, and George Mason University, respectively. He also pursued post-graduate studies at John Hopkins University, where he completed a graduate course in Enterprise Security and Privacy and at George Washington University, where he completed an additional four graduate courses in Engineering Management with a focus on Information Security Management.

Specialized Training. While at NIST, he completed a Systems Security Officer course and a Certification & Accreditation Process course. While at Entrust/Cygnacom Solutions, he achieved certification in the Evaluation of Cryptographic Modules, according to the FIPS 140-2 standard. Additionally, he further developed his management skills via participation in the Building the Next Generation Leadership Development Program at NIST and completion of a Project Management course at the United States Office of Personnel Management's Western Management Development Center in Denver, Colorado.

Imprint. The webpages of the Technische Universitaet Berlin (TUB) consists of numerous offers from various institution (e.g., faculties, institutes, chairs, central facilities, administrative facilities) and the personal pages of TUB employees. The institutions, and the persons who have created the webpages are editorially responsible, and responsible for the content. Please contact the responsible authors of a relevant page if you have questions.

Address of the Technische Universitaet Berlin: Technische Universitaet Berlin, Der Praesident, Prof. Dr. Christian Thomen, Strasse des 17. Juni 135, 10623 Berlin, www.tu-berlin.de.

Editorial and Content Responsibility. Technische Universitaet Berlin, Juan Soto, Database Systems and Information Management Group, Electrical Engineering and Computer Science (Faculty IV), Einsteinufer 17, 10587 Berlin, juan dot soto at tu-berlin dot de.

Legal Notices on Copyright. The webpage layout, the graphics used, and all other content are protected by copyright.

Data Privacy. Thank you for your interest in the webpage of Juan Soto, Database Systems and Information Management Group (DIMA) at Technische Universitaet Berlin (TUB). The protection of the personal data ofvisitor of my personal webpage is very important to us. Therefore we want to inform you about our data security policy. The following Privacy Policy refers to the webpage, which falls under the responsibility of Juan Soto. The webpage is concerned with the dissemination of information about my person, research projects, publications and teaching at Database Systems and Information Management group (DIMA) at TU Berlin. It is not concerned with commercial transactions or with the exchange of data for marketing purposes.

Subject of Data Privacy. Data privacy covers personal data. According to art. 4 par. 1 of DSGVO, these are data referring to an identified or identifiable individual, hence all data which could be used to identify you. This applies for data such as name, private address, e-mail address, telephone number but also to usage data such as your IP address. Of course, the DIMA group observes the legal requirements of data privacy and other applicable regulations. We are committed to ensure that you can trust us concerning your personal data. Therefore transfers of sensitive data are encrypted. In addition our webpages are protected against damage and unauthorized access by technical measures.

Data Collection and Storage. For the usage of our website the registration of your personal data is not necessary in general.

Collection and Storage of Usage Data. For the optimization of our websites we collect and store data, such as visited website, date and time of access, the website which you are coming from and so on for a period of two weeks. After that they will be deleted automatically.

Right of Access to Personal Data. You can retrieve information about your stored personal data without giving reasons at any time free of charge. Please contact the address provided below. We will be pleased to assist you if you have any further questions about our data privacy information. Please note that data privacy regulations and handling of data privacy can change from time to time making it necessary to inform oneself about changes of data privacy laws and company policies. This data privacy statement only applies for content of TU Berlin and DIMA webservers which provide this data privacy statement and does not cover linked websites of external webservers. We invite you to contact us if you have questions about this policy at: Technische Universitaet Berlin, Juan Soto, Database Systems and Information Management Group, Electrical Engineering and Computer Science (Faculty IV), Einsteinufer 17, 10587 Berlin, juan dot soto at tu-berlin dot de.

Editorial and Content Responsibility. datenschutz at dima dot tu-berlin dot de