Research
We live in a highly interdependent and increasingly vulnerable world. Decisions made at one corner of the world
often produce upheaval on unsuspected lives at another corner. Seemingly innocuous actions carried out in
everyday life are leading to long lasting and adverse consequences, both to the present and the coming generation.
Dealing with highly dynamic and complex situations requires a rich knowledge and penetrating understanding.
The purpose of my research is to enrich human beings with knowledge of their surroundings by
developing and deploying adaptive and resilient sensing systems. I strive to fulfill this purpose by pursuing
three complementary goals. My first goal is to develop highly adaptive and energy-efficient sensing nodes.
This includes modeling, testing, and integrating state-of-the-art sensors. My second goal is to develop efficient
and lightweight communication protocols to establish self-organizing and highly resilient distributed
and wireless sensing systems. My third goal is to apply probabilistic models and unsupervised learning in
order to extract meaning from sensed data.
My office is in Andreas-Pfitzmann Bau (APB), Nöthnitzer Str. 46, 01187, Dresden, Germany (Third floor, Room 3086).
My email address is: waltenegus.dargie---at---tu-dresden---dot---de
If you are interested to know what I have been doing so far, here is a link to my cv:
Cooperation
I have been very fortunate to meet and work with many talented individuals around the world. Currently, I am collaborating closely with the following researchers:
Professor Christian Poellabauer (FIU): On impacts of cancer treatment on autonomic function.
Professor Kewei Sha (North Texas University): On the dynamic detection of sophisticated ECG tampering.
Professor Abiy Tasissa (Tufts University): On mathematical models for XAI.
Amazon's Bestseller
What do some of the brightest and most original scientists and writers believed about the meaning and purpose of human strive?
Very few twenty-century scientists made as a lasting influence on modern society as Albert Einstein and Sigmund Freud. Physicists routinely use the theories Einstein developed a century ago to analyse and comprehend cosmological and quantum phenomena. Similarly, some of the vital models contemporary psychologists routinely apply in order to explain psychosexual developments and human psyches are credited to Freud. Perhaps less known to the general public is the magnitude of influence Fyodor Dostoevsky and Leo Tolstoy had on both Einstein and Freud. Einstein once declared: "Dostoevsky gives me more than any scientist, more than Gauss." Freud too ranked Dostoevsky's The Brothers Karamazov alongside the works of Shakespeare in terms of its literary significance. Tolstoy had likewise influenced Einstein and Freud.
Two of the subjects, in which they held a common interested with comparable magnitude, were God and the purpose of human life. All of them, without exception, had passionately been occupied by and written and talked extensively about these subjects. The purpose of this book is to closely examine the beliefs of the quartet based on the books and articles they produced over a span of many years. The author has made a great effort to make their views as comprehensible as possible for the general reader without diluting or oversimplifying them.
As of 25 November 2020, THE REASON FOR LIFE was #5 on AMAZON GERMANY's BESTSELLER RANK under Religious Philosophy category.
You can order the book from Amazon
Current PhD Students
Sajad Farrokhi -- A joint supervision with Prof. Christian Poellabauer at FIU li>
Zegeye Mekasha Kidane (MSc)
Yalemzerf Getnet Bizuye (MSc)
Former PhD Students
Dr. Jannis Lilienthal, summa cum laude (2021)
Dr. Markus Haehnel (2018)
Dr. Zishan Ansar, Research Project Manager SYSGO (2018)
Dr. Jianjun Wen, summa cum laude (2018)
Dr. Kateryna Rybina (2015)
Dr. Christoph Moebius (2015)
Dr. Qian Dong, Associate Professor, Zhongshan University (2013)
PUBLICATIONS
For the full list of my publications, refer to my Google Scholar profile.
SCIENTIFIC BOOKS
W. Dargie. 2017. Principles and Applications of Ubiquitous Sensing. John Wiley & Sons, 2017.
W. Dargie and C. Poellabauer. Fundamentals of wireless sensor networks: theory and practice. John Wiley & Sons, 2010.
W. Dargie. Context Aware Computing and Self-Managing Systems. Chapman & Hall/CRC Studies in Informatics Series, USA. March 2009.
JOURNAL ARTICLES
W. Dargie, S. Farrokhi, and C. Poellabauer, "Identification of Persons Based on Electrocardiogram and Motion Data," IEEE Sensors Journal (2025).
W. Dargie, " Prediction of Received Power in Low-Power and Lossy Networks," IEEE Transactions on Instrumentation and Measurement (2025).
Z. Kidane and W. Dargie, "Cross-Technology Interference: Detection, Avoidance, and Coexistence Mechanisms in the ISM Bands," Transactions on Pervasive Computing and Interaction, Springer Nature (2025).
W. Dargie, P. Padrao, L. Bobadilla, and C. Poellabauer, "Link Quality Fluctuation in Wireless Networks Deployed on the Surface of Different Water Bodies ," IEEE Sensors Journal (2024).
W. Dargie, " Estimation of Motion Statistics from Statistics of Received Power in Low-Power IoT Sensing Nodes". IEEE Sensors Letters (2024).
S. Farrokhi, W. Dargie, and C. Poellabauer, "Human Activity Recognition Based on Wireless Electrocardiogram and Inertial Sensors," IEEE Sensors Journal (2024).
W. Dargie, J, Wen, L. A. Panes-Ruiz, L. Riemenschneider, B. Ibarlucea and G. Cuniberti, "Monitoring Toxic Gases Using Nanotechnology and Wireless Sensor Networks," in IEEE Sensors Journal (2023).
J. Wen and W. Dargie, ``Dynamic Topology Construction in a Joint Deployment," in IEEE Sensors Journal (2022).
L. Martinovic, M. Haehnel, G. Scheithauer, and W. Dargie. An introduction to stochastic bin packing-based server consolidation with conflicts, TOP, 1-36, 2021.
J. Wen and W. Dargie, "Characterization of Link Quality Fluctuation in Mobile Wireless Sensor Networks," ACM Transactions on Cyber-Physical Systems, 5(3), 2021.
J. Wen and W. Dargie, "Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks," in IEEE Sensors Journal, doi: 10.1109/JSEN.2021.3069298.
W. Dargie, "Quantification of Node Significance Based on Overall Connectivity and Relative Position," in IEEE Sensors Journal, vol. 21, no. 6, pp. 8705-8715, 15 March15, 2021, doi: 10.1109/JSEN.2021.3049550.
W. Dargie and J. Wen, "A Simple Clustering Strategy for Wireless Sensor Networks," in IEEE Sensors Letters, vol. 4, no. 6, pp. 1-4, June 2020, Art no. 7500804, doi: 10.1109/LSENS.2020.2991221.
W. Dargie, "A Quantitative Measure of Reliability for Wireless Sensor Networks," in IEEE Sensors Letters, vol. 3, no. 8, pp. 1-4, Aug. 2019, Art no. 7500904, doi: 10.1109/LSENS.2019.2931888.
M. Haehnel, J. Martinovic, G. Scheithauer, A. Fischer, A. Schill and W. Dargie, "Extending the Cutting Stock Problem for Consolidating Services with Stochastic Workloads," in IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 11, pp. 2478-2488, 1 Nov. 2018, doi: 10.1109/TPDS.2018.2819680.
Martinovic, J., Haehnel, M., Scheithauer, G. et al. Cutting stock problems with nondeterministic item lengths: a new approach to server consolidation. 4OR-Q J Oper Res 17, 173--200 (2019). https://doi.org/10.1007/s10288-018-0384-4
W. Dargie. 2015. A Stochastic Model for Estimating the Power Consumption of a Processor. IEEE Transactions on Computers, 64(5), 1311 - 1322.
C. Moebius, W. Dargie, and A. Schill. 2013. Power Estimation Models for Processors, Virtual Machines, and Servers. IEEE Transactions on Parallel and Distributed Systems, 25(6), 1600 - 1614.
Q. Dong and W. Dargie. 2012. A Survey on Mobility and Mobility-Aware MAC Protocols in Wireless Sensor Networks. IEEE Communications Surveys & Tutorials, 15(1): 88-100.
W. Dargie. 2012. Dynamic power management in wireless sensor networks: State-of-the-Art. IEEE Sensors Journal, 12(5), 2012.
W. Dargie. 2012. A Medium Access Control Protocol that Supports a Seamless Handover in Wireless Sensor Networks. Journal of Network and Computer Applications (Elsevier), 35(2), pages 778-86.
W. Dargie and A. Schill. 2012. Building an Intelligent Sensing System: A case study. International Journal of Autonomous and Adaptive Communications Systems, 5(1), 2012.
L. Guan, X. Wang, I. Awan, W. Dargie. 2011. Performance modeling and evaluation of heterogeneous computer networks. Elsevier Journal of Systems and Software, 77(5), Pages 835-836.
W. Dargie, R. Mochaourab, A. Schill and L. Guan. 2011. A Topology Control Protocol based on Eligibility and Efficiency Metrics. Elsevier Journal of Systems and Software, 77(5).
W. Dargie and A. Schill. 2010. Stability and performance analysis of randomly deployed wireless networks. Elsevier journal of computer and system science, 77(5), 2011, 852-860.
W. Dargie and M. K. Denko. Analysis of Error-agnostic Time and Frequency Domain Features Extracted from Measurements of 3D Accelerometer Sensors. IEEE Systems Journal 4(1) 2010.
W. Dargie. 2009. Adaptive Audio-Based Context Recognition. IEEE Transaction on Systems, Man and Cybernetics. Part A: System and Humans, 39(3), 2009.
W. Dargie, C. Xiaojuan, and M. K. Denko. 2009. Modelling the Energy Cost of a Fully Operational Wireless Sensor Network. Springer Journal of Telecommunication Systems, 44(1), 2010.
Guan, L., I. U. Awan, M. E. Woodward, X. G. Wang, I. Phillips, W. Dargie. 2008. Performance Analysis of Threshold Based Queue Using Maximum Entropy. Elsevier journal of Simulation, Modelling Practice and Theory 17 (3), 2009, 558-568.
W. Dargie and T. Tersch. 2008. Recognition of Complex Settings by Aggregating Atomic Scenes. IEEE Journal of Intelligent Systems, 23(5), September 2008.
A. Behring, M. Heinrich, M. Winkler and W. Dargie. 2008. EMODE: Model-driven Development of Multimodal, Context Sensitive Applications. Journal of communication and cooperation media, 6(3). 2008.
W. Dargie. 2006. Dynamic generation of context rules. 2006. Lecture Notes in Computer Science, Springer Verlag, Volume 3996, Jun 2006, Pages 102--115
Postal Address
Dr. Waltenegus Dargie
Technische Universitaet Dresden
Faculty of Computer Science
Chair of Computer Networks
01062 Dresden
Germany
Tel.: +49 351 463 38352
Fax: +49 351 463 38251
Email: firstname.lastname@tu-dresden.de
Visiting Address
TU Dresden, Faculty of Computer Science
Andreas-Pfitzman Building
Room 3086
Noethnitzer Str. 46
01187 Dresden