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We happily bid our welcome to Mr. Raphaël Cosson, who just started his Master's research project "Algorithm Selection for Discrete Black-Box Optimization Problems" under the supervision of Prof. Dr. Carola Doerr and co-supervision of Prof. Dr. Thomas Weise. Mr. Cosson will conduct his research at the Laboratoire d'informatique de Paris 6 (LIP6) of the Sorbonne University in Paris, France during Summer 2019. His work is at the intersection of algorithm configuration, algorithm benchmarking, and the theory of optimization. As basis for his research, he will use and extend the Iterative Optimization Heuristics Profiler (IOHprofiler), an awesome tool for benchmarking and evaluating optimization algorithms, in conjunction with the tunable benchmark model developed at our group. We are looking forward to an interesting and productive collaboration.

  • Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, and Thomas Bäck. IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. October 2018. arXiv e-prints:1810.05281.
    pdf / IOHprofiler / sources
  • Thomas Weise and Zijun Wu. Difficult Features of Combinatorial Optimization Problems and the Tunable W-Model Benchmark Problem for Simulating them. In Companion Material Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), July 15-19 2018, Kyoto, Japan, pages 1769-1776, ISBN: 978-1-4503-5764-7. ACM.
    doi:10.1145/3205651.3208240 / pdf / slides / source codes
Portrait of Dr. Zhen LIU.

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The Institute of Applied Optimization welcomes Dr. Yan Chen [陈岩], who today has officially joined our team as researcher. Before joining our institute, he finished his PhD research at the Spatial Information Management and Modelling Department of the School of Spatial Planning of the TU Dortmund (Technische Universität Dortmund) in Germany. Dr. Chen is an expert in Geographic Information System (GIS), Remote Sensing, and Sponge City/Smart City applications as well as groundwater systems and hydrological simulations.

We are very happy that Dr. Chen joined our team. We are looking forward to working together on many interesting applications of GIS and computational intelligence.

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Our team warmly welcomes Mr. Lalin Heng, lecturer at the Department of Information Technology and Communication of the Institute of Technology of Cambodia (ITC) [វិទ្យាស្ថានបច្ចេកវិទ្យាកម្ពុជា] in Phnom Penh [ភ្នំពេញ], Cambodia [កម្ពុជា] for a research stay from February to March 2019. Mr. Heng has received his Master of Electrical Engineering with specialization in Information Technology in 2017 from the Gadjah Mada University, Yokyakarta, Indonesia and holds two Bachelor degrees, a Bachelor of Engineering in Computer Science also from ITC (2015) and a Bachelor of Education in TEFL from the Institute of Foreign Languages (IFL) of the Royal University of Phnom Penh (RUPP) [សាកលវិទ្យាល័យភូមិន្ទភ្នំពេញ], Phnom Penh, Cambodia (2018). He holds several professional certificates in computer networking both from Cisco and Huawei and has gathered work experience in several internships in this field, too. He has published four academic papers on routing and cell selection. The research interests of Mr. Heng include computer networks and security, which are important areas of application of optimization and computational intelligence. His work and interests are therefore closely related to the Distributed Computing research field of our institute. We are looking forward to working with Mr. Heng. Welcome to Hefei University!

Addendum: Mr. Heng has now successfully completed his stay in our team. It was a very nice and inspiring time for all of us. We enjoyed working together and exchanging ideas. We were particularly happy that we could find an intersection of Mr. Heng's interest in network security and our computational intelligence theme. As a result, we conducted a joint research project and could even publish our results at an international scientific conference:

  • Lalin Heng and Thomas Weise. Intrusion Detection System Using Convolutional Neuronal Networks: A Cognitive Computing Approach for Anomaly Detection based on Deep Learning. In Poalo Soda, Rodolfo A. Fiorini, Yingxu Wang, Garry Jacobs, Newton Howard, Bernard Widrow, and Jerry Feldman, eds., Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2019), July 23-25, 2019, Polytechnic University of Milan, Italy, pages 34–40. IEEE Computer Society. ISBN: 978‑1‑7281‑1419‑4
    Indexing: EI

We wish Mr. Heng all the best for his future. Let's keep in touch.

Portrait of Dr. Zhen LIU.
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Our team congratulates Xinlu Li [李新路], who, from today (2019-02-13) on, is Dr. Xinlu Li [李新路博士]! Earlier this year, Xinlu successfully defended his PhD thesis  "Energy-Efficient Swarm Intelligence based Routing Protocol for Wireless Sensor Networks" at the Technological University Dublin (TU Dublin) in Dublin, Ireland in front of Professor Liam Murphy from the University College Dublin (UCD) and Dr. Paul Doyle (TU Dublin). His work was co-supervised by Dr. Fred Mtenzi and Dr. Brian Keegan. Today his academic award has been approved by the Academic Council of TU Dublin. Congratulations, Dr. Li!

In the framework of his thesis, Dr. Li conducted research on Swarm Intelligence (SI) based routing for Wireless Sensor Networks (WSNs). SI is a meta-heuristic methodology used to solve numerical optimization problems by simulating swarm behaviors found in nature. These techniques demonstrate the desirable properties of interpretability, scalability, effectiveness, and robustness. There is a similarity between bio-inspired systems and routing in networks, especially in WSNs. Dr. Li designed a SI-based routing protocol capable of being deployed on large-scale WSNs to ensure efficient energy usage and prolonging the network lifetime.

Xinlu Li after his PhD defense.
Dr. Xinlu Li after his PhD defense. Left to right: Dr. Brian Keegan (supervisor), Dr. Xinlu Li, and the external examiners Prof. Liam Murphy (UDC) and Dr. Paul Doyle (TU Dublin).

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On Wednesday, 2019-01-30, we presented our paper "An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search," co-authored by Thomas Weise, Zijun Wu, and Markus Wagner at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).

Thomas Weise, Zijun Wu, and Markus Wagner. An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), January 27 – February 1, 2019, Honolulu, Hawaii, USA, pages 2395–2402. Palo Alto, CA, USA: AAAI Press. ISBN: 978-1-57735-809-1
doi:10.1609/aaai.v33i01.33012395 / pdf@IAO / pdf@AAAI / slides / poster

The conference was very nice and interesting. The seven sessions on "Search, Constraint Satisfaction and Optimization" as well as the ten sessions on "Game Theory and Economic Paradigms" showed that our research fields are core topics at one of the most important venues on soft computing. It was very nice presenting our work in such a context and we had several interesting discussions with interested researchers.

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