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Applied and Computational Mathematics

Beginning spring 2022, the Applied and Computational Mathematics program will provide advisory exams through Blackboard for precalculus, calculus 1, calculus 2, and calculus 3 (multivariable calculus). The purpose of each test is to determine whether an Engineering for Professionals (EP) student has the necessary background to succeed in a particular level of mathematics. If the student does not achieve a passing score of 80 or above on the test, we will recommend that the student enroll in an appropriate course covering the material and/or take the placement exam at the next level down. These advisory exams are tools meant to help the student and academic advisor gauge the student’s preparedness for mathematics for study in EP. The test(s) is not a means to opt-out of a required course, and a waiver will not be granted solely based on an advisory exam score.

Ivana Alexandrova won a contract from the City School District of Albany, NY to run afterschool, Saturday, and summer math enrichment programs for high school students for the 2021/2022 school year with the option to extend it for two additional years. This contract, which is funded through the American Rescue Plan, is the culmination of and in recognition of Alexandrova’s efforts to run such programs independently in the Albany, NY area for the past five years.

The ACM faculty is active in advancing the state of the art in applied math and allied areas. Below are some recent publications:

Botts, C. A., “A Novel Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm”.  SN Computer Science (2021) 2:412.

Duan Y., Wang SJ., Ji Y. (2021). Hi3 + 3: A model-assisted dose-finding design borrowing historical data. Contemporary Clinical Trials. 109, 106437.

Gaudinski MR,  Berkowitz NM,  Idris AH, Coates EE,  Holman LA,  Mendoza F,  Gordon IJ,  Hu Z,  Chagas AC,  O’Connell S,  Basappa M,  Douek N,  Narpala S,  Andrews C,  Barry CR,  Widge AT,  Hicks R, Awan SF,  Wu RL, Hickman S,  Wycuff D,  Evans BP,  Carlton K,  Gall JG,  Vazquez S,  Flach B,  Chen GL,  Francica JR, Flynn BJ,  Kisalu NK, Capparelli EV,  McDermott A,  Mascola JR,  Ledgerwood JE,  Seder RA, and the VRC 612 Study Team. “A monoclonal antibody for malaria prevention.” New England Journal of Medicine, 385: 803-814, 2021.

Gwise T, Rothmann MD, Hung HMJ, Amatya A, Rothwell R, Wang SJ, Wu Y, Smith F, Weng YT, Andraca-Carrera E, Grosser S, Chattopadhyay S, Collins SH. (2021). Statement on P-values. Statistics in Biopharmaceutical Research 13:1, 57-58.

Hendrix S, Mogg R, Wang SJ, Chakravarty A, Romero K, Dickson SP, Sauer J-M, McShane L. (2021). Perspectives on statistical strategies for the regulatory biomarker qualification process. Biomarker in Medicine 15(9):669-684. https://doi.org/10.2217/bmm-2020-0523.

Hu, Z. “Assessing conditional causal effect via characteristic score.” Statistics in Medicine, 40: 5188-5198, 2021.

H.M. James Hung, John Lawrence (2021). “Composite Endpoints in Cardio-Renal Clinical Outcome Trials”, Statistics in Biopharmaceutical  Research, https://doi.org/10.1080/19466315.2021.1945487

Shi, J. and Spall, J. C. (2021), “SQP-Based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints,” Proceedings of the American Control Conference, New Orleans, LA, 25–28 May 2021, pp. 1240–1245.

Wang, L. and Spall, J. C. (2021), “Improved SPSA Using Complex Variables with Applications in Optimal Control Problems,” Proceedings of the American Control Conference, New Orleans, LA, 25–28 May 2021, pp. 3510–3515.

Wei, S. and Spall, J. C. (2021), “Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case,” Proceedings of the American Control Conference, New Orleans, LA, 25–28 May 2021, pp. 4029–4034.

Recent student presentations, publications, and thesis work:

Woolf, Thomas B., Justin Tervala, and Ian Carter. “Controlling Collective Motions of Self-Propelled Particles by Mean Field Couplings Defined by Topology.” In 2021 55th Annual Conference on Information Sciences and Systems (CISS), pp. 1-5. IEEE, 2021.

Glad, Will, and Woolf, Thomas B. “Path Signature Area-Based Bcusal Discovery in Coupled Time Series” ArXiv:2110.12288 (2021)

Byerly, Adam and Stacy D. Hill “Enhanced Uniform Manifold Approximation and Projection via Simultaneous Perturbation Stochastic Approximation” in JHU library (2021)

McCabe, Lucas H. and Woolf Thomas B. “Preferential Attachment Estimation and Node Immunization Along Random Walks”  at Networks 2021

Artificial Intelligence

The Artificial Intelligence program announces its newest course: Values and Ethics in Artificial Intelligence (705.612). Taught by Nathan Bos, this course will prepare professional engineers and developers to thoughtfully engage with the moral, ethical, and cultural aspect of artificial intelligence.

Computer Science

Congratulations to Lanier Watkins and Christopher Rouff, who will serve as general chair and program chair, respectively, of the 2022 IEEE International Conference on Assured Autonomy (ICAA), set for March 22 through 24. In addition, we are proud to announce that Lanier Watkins has been elevated to IEEE senior member. Congrats, Lanier!

Computer Science instructor Ross Young and co-host G. Mark Hardy won the NIST Federal Information Security Educator contest for best Cyber Security Podcast. Young and Hardy’s  CISO Tradecraft  provides a weekly, 45-minute discussion on how to become the next generation of cyber executives.

Cetin Savkli’s new algorithm that tackles building probability models for high dimensional data beat 10 well-known algorithms during extensive testing, with 12 publicly available data sets (see paper for details). In addition to its accuracy, the algorithm is easily parallelizable and highly scalable. It was presented at the 23rd International Conference on Artificial Intelligence, July 26-29, and will appear in print at Springer Nature – Book Series: Transactions on Computational Science & Computational Intelligence.

Russ Fink and team spearheaded the Johns Hopkins University Applied Physics Lab’s effort to secure a commercial licensing partnership to promote the development of the Autonomous Recovery from Malware / Ransomware (ARMR) system: an advanced, data-at-rest resiliency designed project, based on commercially available Opal hard drives technology.

Beginning this spring, the Computer Science program will offer the following new courses:

Recent instructor publications include:

  • Denzel Hamilton, Lanier Watkins, Sebastian Zanlongo, Charles Leeper, Randall Sleight, Joshua Silbermann, and Kevin Kornegay, “Assuring Autonomous UAS Traffic Management Systems Using Explainable, Fuzzy Logic, BlackBox Monitoring,” IEEE International Conference on Information and Automation for Sustainability (ICIAfS), August 2021.
  • Lanier Watkins, Nick Sarfaraz, Sebastian Zanlongo, Joshua Silbermann, Tyler Young, and Randall Sleight, “An Investigative Study into An Autonomous UAS Traffic Management System for Congested Airspace Safety,” IEEE International Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (CCNCPS), June 2021.
  • Lanier Watkins, Phillip Cho, John Hurley, and Aviel Rubin, “Collaborative Global Impact Cloud Computing Risk Assessment Framework,” IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), April 2021.
  • Lanier Watkins, Denzel Hamilton, Kevin Kornegay, and Aviel Rubin, “Triaging Autonomous Drone Faults by Simultaneously Assuring Autonomy and Security,” IEEE Conference on Information Sciences and Systems (CISS), March 2021.
  • Kaho Wan and Joel Coffman. 2021. “Game-Theoretic Modeling of DDoS Attacks in Cloud Computing,” Proceedings of 14th IEEE / ACM International Conference on Utility and Cloud Computing (UCC ’21). ACM, New York, NY, USA, 10 pages.

Cybersecurity

Program Chair Lanier Watkins has been named the general chair for the 2022 IEEE International Conference on Assured Autonomy (ICAA). He also has become a senior member of IEEE. Congrats, Lanier!

The Cybersecurity program is offering a new online course: Covert Channels (695.722). Taught by Lanier Watkins, the class will survey covert channels and information leakage (side channel) with hands-on investigations into building and defeating covert channels.

Recent instructor publications include:

  • Denzel Hamilton, Lanier Watkins, Sebastian Zanlongo, Charles Leeper, Randall Sleight, Joshua Silbermann, and Kevin Kornegay, “Assuring Autonomous UAS Traffic Management Systems Using Explainable, Fuzzy Logic, BlackBox Monitoring,” IEEE International Conference on Information and Automation for Sustainability (ICIAfS), August 2021.
  • Lanier Watkins, Nick Sarfaraz, Sebastian Zanlongo, Joshua Silbermann, Tyler Young, and Randall Sleight, “An Investigative Study into An Autonomous UAS Traffic Management System for Congested Airspace Safety,” IEEE International Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (CCNCPS), June 2021.
  • Lanier Watkins, Phillip Cho, John Hurley, and Aviel Rubin, “Collaborative Global Impact Cloud Computing Risk Assessment Framework,” IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), April 2021.
  • Lanier Watkins, Denzel Hamilton, Kevin Kornegay, and Aviel Rubin, “Triaging Autonomous Drone Faults by Simultaneously Assuring Autonomy and Security,” IEEE Conference on Information Sciences and Systems (CISS), March 2021.

Electrical and Computer Engineering

Alumni Spotlight: Shiva Tan, MS ’19, has applied to UC Berkeley to enter their PhD program in Math and Science Education. Nicholas Beser has agreed to be a reference in her application.

According to Nicholas Beser who teaches Image Compression, Packet Video and Video Processing (525.759), “This semester I added a Deep Learning Module to the class to provide a different perspective on Video Processing. Historically, video processing has been a computation intensive, algorithm driven activity that uses the underlying techniques taught in the image and video compression class. Deep Learning algorithms provide a method of creating correlations to data that can exploited to produce the same types of products. Once the model parameters are found, they can be applied to new data to perform the same video processing at high speed with measurable results. The new module used super resolution as an example, and the class ran the models using Google Collab, a free GPU accelerated software development environment. The class provided test data, and measured the performance using image quality metrics that were taught in earlier modules. The module provided a high-level overview for students who had no previous deep learning experience, and a great demonstration for those who might like to select deep learning as a semester project topic. The class was also invited to take 525.733 (Deep Learning for Computer Vision) if they wanted to learn more.”

Ashutosh Dutta served as the founding co-chair for the 4th IEEE 5G World Forum that took place October 13-15. Dutta has served in this capacity since the inception of the IEEE 5G World Forum in 2018. Content from the conference is available on demand until end of December 2021.

Ashutosh Dutta co-authored a paper titled, “Open Source 5G Security Testbed for Edge Computing,” that appeared in the 4th IEEE 5G World Forum. Congratulations, Ashutosh!

Ashutosh Dutta recently co-chaired the IEEE Connecting the Unconnected Challenge and Summit that took place November 3-5. The conference was aimed at addressing the digital divide in a world where 50% of the world’s population are unconnected or under-connected.

Ashutosh Dutta serves as the general chair for the 4th IEEE 5G workshop on First Responder and Tactical Networks scheduled to take place on December 14, 2021. This conference is co-sponsored by the Johns Hopkins University Applied Physics Lab, the Department of Homeland Security, and the Office of the Under Secretary of Defense.

Engineering Management

For the second year in a row, we are pleased to announce that the Engineering Management program has been ranked No. 1 by U.S. News & World Report for best online master’s programs in management engineering. This ranking highlights the programs dedication to offering students a relevant curriculum taught by leaders in the field.

To keep the program at the No. 1 spot, two new electives are now being offered: Product and Supply Chain Management, and Data Science for Technical Leaders. Both electives are expected to launch in fall 2022.

Information Systems Engineering

Jefferey Chavis has been asked to chair a roundtable at the national Health Information Sharing and Analysis Center (H-ISAC) Summit, Nov. 30 through Dec. 2. The roundtable will include leaders from government, academia, and corporate America. Chavis will lead a group of sessions exploring novel ways that the Internet of Things (IoT) can be integrated into the health enterprise.

Mechanical Engineering

Beginning this fall, the Mechanical Engineering program will offer a new online course, Fluid Dynamics I (535.620), taught by Ahmed Hussein. This first graduate course in fluid dynamics starts from derivation of the flow equations and examines several limiting behaviors. When viscous effects are ignored all together, we obtain the familiar limit of potential flow. Boundary layer theory is introduced to examine the effect of viscosity near surfaces. And in the limit where viscosity is dominant, we obtain what is known as “creeping flow” where inertia can be ignored all together. Our approach will rely on developing the theory and considering classical examples to advance our understanding of fluid motion in each of these areas.

COMING SOON—A series of courses focused on hypersonic vehicles and their engineering.  The first is Hypersonic Technologies and Systems, being developed by Dave Van Wie, and should be available starting in fall 2022.