Our research primarily falls under the umbrella of multi-sensor data fusion (MSDF) or data fusion — a broad interdisciplinary field that can be (loosely) defined as "... a multi-level, multi-faceted process dealing with the automatic detection, association, correlation, estimation, and combination of data and information from multiple sources," (US Department of Defense, 1991). While much of early MSDF research & developments were focused around defense and space exploration applications, data fusion has slowly moved into mainstream with recent growth and popularity of ubiquitous sensing & computing methods. In addition, as a key enabler of smart, intelligent and connected capabilities in many up-and-coming technologies, such as intelligent transportation systems (ITS), internet-of-things (IoT), and smart infrastructure systems, data fusion is likely to be a household term in the near future.
From multi-domain battles to intelligent transporation systems, next-gen technologies envision cross-domain synergy and perfect harmony between humans and machines to achieve truly smart, aware and connected behavior. A fundamental tenet to such capability is the ability to integrate inputs/outputs from both humans (i.e., soft data) and machines (i.e., hard data) to carry out numerous estimation, detection, inference, and decision-making tasks in a swift, systematic and robust fashion. With this vision in place, by drawing from signal processing, control, machine learning, probability theories, and various branches of mathematics, we focus on developing analytically rigrous, yet efficient soft and hard data fusion methods applicable to both defense and civilian domains.
Primarily in modeling, estimation & detection, inference, and decision-making tasks in data-driven computational and engineered systems.
Signal processing for big-data, with an emphasis on uncertainty handling in stream-processing environments
Intelligent Transportation Systems (ITS), with a focus on safety, efficiency and infrastructure
Smart Infrastructure Systems and Cyber-Physical Systems, with an emphasis on detection of anomalies and failure precursors, deception-aware processing
Distributed inference in dynamic and highly uncertain environments, with a focus on consensus and intent-propagation
We are currently looking for creative, highly-motivated and self-activated students to join our group. If interested in joining,
Check out our research and other data fusion work in defense, automotive, robotics, and healthcare domains.
Write 1--2 page summary on your findings and send it along with your CV and transcript(s).
Postdoctoral scholars: contact with your CV, publications list, and a summary on your research and career interests (max 2pages).
More details on current openings and the kind of students that we are looking for is described here.
Some projects and publications illustrative of our research
Our research group members come from all over the world and bring different experiences, skills and backgrounds. We welcome students from all parts of the world, but priority is likely to be given to those who best match ongoing or soon to start projects. More details on current openings and the kind of students that we are looking for is described here.
Thanuka Wickramarathne, Ph.D.
I have always been fascinated by `signals' and their manipulation via mathematics. Multi-sensor fusion gives a perspective on how one may systematically simplify, organize and tackle problems involving different types of signals that are needed to be manipulated in rather complex ways. While such tasks have always been around in the defense community, recent data-driven technological trends are slowing bringing these notions into the mainstream. With numerous applications in defense, transportation, robotics, and healthcare in mind, I take a particular interest on research problems in estimation, detection, inference, and decision-making involving both soft (i.e., human or human-based) and hard (i.e., physics-based) sensors.
Dr. Wickramarathne is currently a tenure-track assistant professor with the Department of Electrical & Computer Engineering at University of Massachusetts Lowell. Previously, he was a Research Assistant Professor in the Departments of Electrical Engineering and Computer Science & Engineering at the University of Notre Dame, Engineering intern with the DSP group at Motorola Solutions (Plantation, FL) and RNP Engineer (short stint) at Celltell Lanka pvt ltd (now Etiselat, in Sri Lanka). He received his B.Sc. in Electronics and Telecommunication Engineering from University of Moratuwa, Sri Lanka and both of his MS and PhD degrees in Electrical & Computer Engineering from University of Miami, Coral Gables, FL. He is a senior member of IEEE.
Dr. Wickramarathne grew up with his parents and two younger siblings in the beautiful island of Sri Lanka. He enjoys competitive sports and weekend projects, played competitive Table Tennis (20+yrs ago), was a practitioner of Kyokushin-Kai Kan for 10+yrs (and planning to get back into it after tenure ☺). He's now an avid Tennis player, occasional skier, amateur drummer, and a cyclist.
Feel free to contact us about our research, potential collaborations or joining the group. Prof. Wick is best reached via email and please make sure to include a descriptive subject line.
Department of Electrical & Computer Engineering
University of Massachusetts Lowell
One University Avenue, Lowell, MA 01854 USA
+1 (978) 934-5375