Gilman Clocktower at dusk

Applied Biomedical Engineering

Recently Added Courses

Course Conversions from Homewood courses

A few upcoming courses include:

In Applied Biomedical Engineering, virtual reality has entered the classroom as a tool for teaching the anatomy that is essential for a full understanding of the different body systems, which biomedical engineers rely on as they develop, refine, and troubleshoot medical device interventions. VR allows ABE students to view a three-dimensional scan (CT or MRI) of a region or organ in the body, as the instructor slices away and dissects various anatomical features to illustrate the structural elements of what has been studied in the two-dimensional video lectures. Structural dimensions, physical relationships, and scale become more intuitive, as students learn about the anatomy with an eye toward understanding medical device placement and function.

Applied and Computational Mathematics

The ACM Program will be offering two new graduate-level courses this fall: 625.624 Network Models and Analysis and 625.736 Combinatorial Optimization.

625.624 will investigate many of the network problems traditionally discussed in operations research as well as explore models and applications for random, small-world, scale free, and dynamic networks.

625.736 concerns finding an optimal solution from a discrete set of feasible solutions where often the exhaustive enumeration of the solution space is intractable. The main goal of this course is to introduce students to efficient techniques for solving combinatorial optimization problems.

Master’s Theses

MS students in ACM have the option of completing a master’s thesis as part of the MS degree. A thesis represents a significant accomplishment, aimed at expanding the body of knowledge in the broad area of applied mathematics. Electronic versions of all theses are available through the JHU Library. The following two students completed master’s theses in the last several months:

Student: Michael Baeder

Title: Manifold Learning for Empirical Asset Pricing

Faculty Supervisor: Dr. Burhan Sadiq

Student: Alyssa Columbus

Title: Sleep Duration as a Neural Survival Model

Faculty supervisor: Dr. Tom Woolf

Faculty and Student News

Dr. Paul Nicholas received two Best Paper awards at the IEEE Military Communications Conference (MILCOM) in San Diego in late November. Paper title: “Analysis of Time-Sensitive MANET Channel Allocation in Contested Environments.” The awards are the Fred Ellersick MILCOM Best Paper Award and the Vanu Bose Best Paper Award.

Dr. Tatyana Sorokina co-organized a workshop on “Interpolation, Approximation, and Algebra” at the Mathematical Research Institute of Oberwolfach, Germany. The workshop took place in February 2022. A report is available at https://www.mfo.de/occasion/2207a/www_view.

An editorial co-authored by Dr. Sue-Jane Wang, Editorial on theranostic approach in drug development: is there study efficiency when the prevalence of the molecular target is very high,” was selected by the journal Theranostics for publication in volume 12, issue 7, which relates to an FDA internal announcement and an SNMMI (Society of Nuclear Medicine and Medical Imaging) external announcement. In particular, on 3/23/2022, FDA internally announced that Today’s approval action for the prostate specific membrane antigen (PSMA) targeted theranostic pair, i.e., a diagnostic imaging drug (Locametz) used to select patients who overexpress PSMA for evaluation of a therapeutic drug (Pluvicto) that is shown effective, represents an important milestone in the development of theranostic radiopharmaceuticals that is in the spirit of precision medicine. On the same day, breaking news from the Society of Nuclear Medicine and Medical Imaging applauded FDA approval of new metastatic prostate cancer treatment (Pluvicto) noting FDA approves transformative nuclear medicine treatment for metastatic prostate cancer.

Two ACM instructors worked with students for WSE Design Day. This annual event, held on May 3, included over 200 presentations, posters, and demonstrations. Dr. Ed Scheinerman and student Tongtong Chen (AMS BS 2022) researched the compositional square root of the sine function.  Dr. Beryl Castello and student Kuleen Sasse (AMS, CS BS 2025) utilized metaheuristics to determine how a person could navigate the entire New York City subway system in the shortest amount of time possible.

ACM student Casey Grage took home a $50,000 Human Health prize during the Arizona State University Innovation Open for her product Hubly Surgical (https://hublysurgical.com/), a cranial and orthopedic electric drill system designed to streamline bedside intracranial access and decrease operating room reliance.

Recent Faculty Publications

The ACM faculty is active in advancing the state of the art in applied math and allied areas. Below are some recent publications, with the ACM faculty authors denoted in bold type:

Botts, C. H., “Three-Dimensional Swarming Using Cyclic Stochastic Optimization.” IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no.2, pp. 1431-1445, April 2022.

Dauber, R. Erbacher, G. Shearer, M. Weisman, F. Nelson, and R. Greenstadt,”Supervised Authorship Segmentation of Open Source Code Projects,” Proceedings on Privacy Enhancing Technologies, 2021: 464–479.

Hung H. M. J. and Wang S. J. (2022). Commentary on “Estimands for recurrent event endpoints in the presence of a terminal event”. Statistics in Biopharmaceutical Research Journal, Published online Feb. 24, 2022.

Maranzano, C. J. and Spall, J. C. (2022), “Maximum Likelihood Reliability Estimation from Subsystem and Full System Tests: Method Overview and Illustrative Examples,” Johns Hopkins APL Technical Digest, vol. 36(1), pp. 3–13. https://www.jhuapl.edu/Content/techdigest/pdf/V36-N01/36-01-Maranzano.pdf

Rex S.M., Kopetsky A., Bodt B., Robson S.M. Relationships Among the Physical and Social Home Food Environments, Dietary Intake, and Diet Quality in Mothers and Children. J Acad Nutr Diet. 2021 Oct;121(10):2013-2020.e1. doi: 10.1016/j.jand.2021.03.008

Sansare, A., Behboodi, A. Johnston, T. Bodt, B., and Lee, S. (2021). Characterizing Cycling Smoothness and Rhythm in Children With and Without Cerebral Palsy. Frontiers in Rehabilitation Sciences, 2021 Sept. https://www.frontiersin.org/article/10.3389/fresc.2021.690046.

Sheatsley, N. Papernot, M. Weisman, G. Verma, P. McDaniel, “Adversarial examples for network intrusion detection systems,” Journal of Computer Security, Preprint, pp. 1-26, 2022, DOI: 10.3233/JCS-210094

Sheatsley, B. Hoak, E. Pauley, Y. Beugin, M. Weisman, P. McDaniel, “On the robustness of domain constraints,” Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, pp. 495-515, November 2021.

Spall, J. C. and Wang, L. (2021), “Multilevel Data Integration with Applications in Sensor Networks,” DTIC accession number AD1149660, 1 October 2021 (paper from 2021 AIAA Defense Forum, Laurel, MD), https://apps.dtic.mil/sti/citations/AD1149660.

E. Zolbayar, R. Sheatsley, P. McDaniel, M. Weisman, “Evading Machine Learning Based Network Intrusion Detection Systems with GANs”, book chapter in Game Theory and Machine Learning for Cyber Security,  2021.

Electrical and Computer Engineering

  • Ashutosh Dutta nominated for “ACM Distinguished Member for outstanding scientific contributions to computing.”
    Read the WSE news item about this nomination.
  • Stephen R. Porter “Point set registration via stochastic particle flow filter,” Journal of Electronic Imaging 30(6), 063007 (12 November 2021). https://doi.org/10.1117/1.JEI.30.6.063007
  • “Best Presentation Award” by the Program Committee as per the Conference Awards Scheme
    David Olson, Stephen Bruder, Adam Watkins, Cleon Davis, “Depth Camera Aided Dead-Reckoning Localization of Autonomous Mobile Robots in Unstructured GNSS-Denied Indoor Environments,” ICRLA004 2021: 15. International Conference on Robotics, Learning and Algorithms, Sydney, Australia, December 02-03, 2021.
  • Shajaiah, A. Abdelhadi, and T. Clancy, Performance and Security for the Internet of Things: Emerging Wireless Technologies, McGraw-Hill, 2020. (McGraw-Hill)
  • E. D. Jansing, Introduction to Synthetic Aperture Radar:  Concepts and Practice, McGraw-Hill, 2021.
  • Vassiliy Tsytsarev has co-written several peer-reviewed articles:
    • Zueva L, Zayas-Santiago A, Rojas L, Sanabria P, Alves J, Tsytsarev V, Inyushin M. Multilayer subwavelength gratings or sandwiches with periodic structure shape light reflection in the tapetum lucidum of taxonomically diverse vertebrate animals. J Biophotonics. 2022 Mar 3:e202200002. doi: 10.1002/jbio.202200002
    • Tsytsarev V. Methodological aspects of studying the mechanisms of consciousness. Behav Brain Res. 2022 Feb 15;419:113684.
    • Volnova A, Tsytsarev V, Ganina O, Vélez-Crespo GE, Alves JM, Ignashchenkova A, Inyushin M. The Anti-Epileptic Effects of Carbenoxolone In Vitro and In Vivo. Int J Mol Sci. 2022 Jan 8;23(2):663.
    • Chen Z, Tsytsarev V (Co-First author), Finfrock Y, Antipova O, Cai Z, Arakawa H, Lischka F, Hooks B, Wilton R, Wang D, Liu Y, Gaitan B, Tao Y, Chen Y, Erzurumlu R, Yang H, Rozhkova E. Wireless Optogenetic Modulation of Cortical Neurons Enabled

Engineering Management

Responding to student and industry evolving needs, the Master of Engineering Management program will introduce two new elective courses starting fall 2022. Excerpts from the 2022–2023 catalog are provided below:

EN.595.758 Data Science for the Technical Leader

The course provides an immersive introduction to data science for scientists and engineers who are in technical leadership positions and recognize the need to lead their organizations into a data-driven future. Through lectures, hands-on exercises, and project assignments, the course illustrates the fundamental concepts of data science and introduces the students to the skills required to apply the tools and techniques through the data science process to problems in support of fulfilling mission objectives. The course exposes the students to data management, data science tools and techniques, the basics of Artificial Intelligence (AI) and Machine Learning (ML), creating and delivering data-driven solutions, evaluating their efficacy, policy, and ethical considerations.

EN.595.701 Product and Supply Chain Management for Technical Professionals

This course provides foundational knowledge of Product and Supply Chain Management for effective engineering and technical leadership, while giving students a taste for the experience of being a product/supply chain manager. Topics include product management life cycles, investment strategies and business cases, product types (digital vs. physical vs. cyber-physical), product structures (build to spec vs. build to market), product and services portfolios, cross-organizational structures and governance, product, and services value chains as the basis for the supply chain, mergers and acquisitions, product platforms, and ethics and social responsibility related to products and supply chains. This course also addresses product-as-a-service and agile product/services development.