Kalana Abeywardena, an immediate graduate of Department of Electronic and Telecommunication Engineering, University of Moratuwa, won the Migara Ratnatunga Trust Award (All island 1st place – Category A) for the year 2020/2021 which was awarded by the Institution of Engineers, Sri Lanka (IESL) for the best Electronic and Telecommunication Engineering trainee who portrayed excellent performance at Industrial Training. The award (a cash prize and certificate) was presented at the IESL induction and graduation ceremony on Friday, June 17, 2022.
Kalana completed his 6 months industrial training at the School of Computer Science of the University of Sydney, Australia as a Visiting Research Student under the supervision of Dr. Suranga Seneviratne in 2019. During the training, he was mainly engaged in two projects: he developed a cyber security framework to address phishing attacks on websites using computer vision and artificial intelligence and worked on depth filters and artificial intelligence to process Light Field signals to improve their signal power. Moreover, he worked as an undergraduate assistant in a summer program organized by the University of Sydney for international students from China.
Migara Ratnatunga Trust Award is awarded to the high achievers of level 3 industrial training module at the Annual sessions of IESL. The results of the evaluations done by the university training division will be submitted to the IESL, where a few undergraduates would be recognized as high achievers in the compulsory industrial training module in the engineering undergraduate program after a rigorous evaluation among the undergraduates of other state universities.Read More
Team University of Moratuwa Selected as Finalists in the IEEE International Future Energy Challenge 2022
A team of undergraduates from the Dept. of Electronic and Telecommunication Engineering and Dept. of Electrical Engineering at the University of Moratuwa has been selected for the Grand Finals of the IEEE International Future Energy Challenge 2022 for the first time in Sri Lanka. This is a prestigious power electronics competition organized by the Institute of Electrical and Electronics Engineers (IEEE) and sponsored by the IEEE Power Electronics Society, IEEE Industry Application Society, IEEE Power and Energy Society and Power Source Manufacturers’ Association.
The team advisors:
Prof. Udayanga Hemapala – Head Department of Electrical Engineering
Dr. Subdoha Charles – Senior Lecturer at the Department of Electronic and Telecommunication Engineering
Mr. Thilina Ambagahawaththa – Lecturer at the Department of Electronic and Telecommunication Engineering
Mr. Iresh Jayawardana – Graduate of the Department of Electronic and Telecommunication Engineering
The team members from the Department of Electronic and Telecommunication Engineering:
Pahan Mendis – Team Leader
The team members from the Department of Electrical Engineering:
For this competition, the team designed a smart efficient and light microgrid inverter that converts DC power from a solar panel into AC. Since 2010, solar costs have declined 70% to 80% in the world, making solar one of the most economical ways for energy generation. However, integrating renewable and distributed energy resources, such as photovoltaics (PV) and energy storage devices, into the electrical applications requires advanced power electronics, or smart inverters, that provide efficient and reliable power management. The team target to achieve an efficiency greater than 95% and a bulk manufacturing cost less than $200 in their inverter.
The team progressed through the initial selection round where they submitted their proposal for the inverter that caters the set of given specifications. During the semi-final round, 13 teams from prestigious universities in the world demonstrated their hardware design of the proposed inverter. Our team from University of Moratuwa, along with 7 other teams from Europe, Canada, and America, have been selected for the grand finals based on the technical quality of the design and the progress of hardware implementation demonstrated in the semi-final round. The final competition will be held between 27th-29th of July 2022 at University of Tennessee, Knoxville, USA.
The complete hardware prototype of the inverter will be tested for its performance in front of judges and industry experts at the grand finals. A group of students representing the Team UoM is planning to visit the USA with the designed inverter for this final competition.Read More
Sandushan Ranaweera, and undergraduate of ENTC has emerged as the second-place winner in the Asia Pacific Region in the Internet for All Competition organized by IEEE Communications Society which is one of the world premier associations for communication engineers.
In this competition the participating teams or individuals are required to submit a proposal outlining a plan to bring internet connectivity to an identified locality where a clear need of internet connectivity exists. The proposals should explain how if implemented the performance of the infrastructure will be measured, detect technical failures, risk mitigation plan and how the infrastructure will be maintained after the project duration.
Teams or individuals from worldwide were open to submit proposals. Winners were selected region-wise from Europe, Middle East and Africa Region, North America Region, Latin America Region and Asia Pacific Region. The jury picked First, Second, Third place winners with up to 5 honorable mentions per each region. Sandushan Ranaweera’s proposal which won the second place in Asia Pacific Region was outlined a project to give internet connectivity for underprivileged students in rural villages of Sri Lanka using existing common infrastructure.
The constant motivation and guidance of Dr. Tharaka Samarasinghe as the staff advisor of the IEEE Communications Society Student Branch Chapter should be appreciated here since he always encourages students to participate in these competitions. This achievement will uplift the brand name of ENTC and UoM while showcasing the practical industrial knowledge of ENTC undergraduates in international level.Read More
The final year project titled “Object Detection, Tracking and Suspicious Activity Recognition for Maritime Surveillance using Thermal Vision” received the Bronze award for Tertiary Students – Technology category at National ICT Awards NBQSA 2021.
NBQSA, The National ICT Awards Ceremony, provides recognition to outstanding achievements of individuals and organizations in Sri Lanka who have developed high quality ICT products and Tertiary Category – Technology targets the best quality work done by undergraduates in terms of research related to technical solutions.
The award was given for the technological solution provided when it comes to maritime surveillance in Sri Lankan borders and due to the amount of research work carried out during the project which includes a novel approach to Online Real-time Spatio Temporal Action Localization.Read More
B.Sc. Engineering Honours Degree in Electronic and Telecommunication Engineering Receives Full Accreditation
In response to the application for reaccreditation submitted to the Institution of Engineers, Sri Lanka (IESL), the B.Sc. Engineering Honours Degree in Electronic and Telecommunication Engineering of the Department of Electronic and Telecommunication Engineering of the University of Moratuwa has been granted full accreditation for the intake till 2023.
According to the IESL’s official website, “[IESL] being a signatory to the Washington Accord, the four-year full-time engineering degree programmes accredited by the IESL will be considered as substantially equivalent to four-year engineering degree programmes that have been accredited by the other signatories to the Washington Accord. A signatory to the Washington Accord is empowered by the Accord to accredit only those degree programmes conducted within the jurisdiction (country) of the signatory.”
More information on the Washington Accord: https://www.ieagreements.org/accords/washington/Read More
A research paper titled “CeyMo: See More on Roads – A Novel Benchmark Dataset for Road Marking Detection” has been accepted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. The research was conducted by Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, and Shenali Kariyawasam under the supervision of Dr. Peshala Jayasekara and Dr. Ranga Rodrigo.
The paper introduces a novel road marking benchmark dataset for road marking detection in advanced driver assistance systems and autonomous vehicles. Though understanding road markings is a fundamental perception task in autonomous vehicles, the development of robust road marking detection algorithms has been a challenging task in the research community due to diverse road, illumination, and traffic scenarios. The introduced dataset covers a wide variety of urban, sub-urban, and rural road scenarios with diverse illumination and weather conditions. The multiple annotation formats and the clear evaluation metrics with the evaluation script will promote novel road marking detection algorithms and direct comparison of them. Furthermore, the authors evaluate the approaches of utilizing instance segmentation-based and object detection-based neural network architectures for the road marking detection task, which will facilitate future research on road marking detection in challenging environments.
WACV is a top international conference in the field of computer vision and pattern recognition organized annually by the IEEE Computer Society and the Computer Vision Foundation. WACV 2022 will be held from 4th to 8th of January 2022 in Waikoloa, Hawaii, USA. This research was carried out as a final year project at the Department of Electronic and Telecommunication Engineering (ENTC), University of Moratuwa in collaboration with Creative Software Pvt. Ltd.
Nima L. Wickramasinghe from the Department of Electronic and Telecommunication Engineering (ENTC), together with his mentor Mohamed Athif from the Department of Biomedical Engineering, Boston University (previously an undergraduate at ENTC) has won the 3rd place in 3 categories (All-lead, 3-lead, 2-lead) in the Physionet/Computing in Cardiology Challenge 2021.
PhysioNet supports challenges, which invite participants from all over the world from various institutes to tackle clinically interesting questions that are either unsolved or not well-solved. In cooperation with the Computing in Cardiology conference, PhysioNet has been co-hosting a challenge annually. This year, the conference was held in Brno, Czech Republic from 12th to 15th of September in a hybrid manner. Computing in Cardiology (formerly Computers in Cardiology) is an international scientific conference that has been held annually since 1974. CinC provides a forum for scientists and professionals from the fields of medicine, physics, engineering, and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.
This year’s challenge was to identify Cardiac abnormalities (26 scored) given the ECG data of the patients. Usually, the ECG data consists of the signals from the 12-leads. But, this year’s challenge focused on whether the same accuracy can be achieved using reduced-lead ECG data. Using a smaller number of leads would enable low-cost, portable, and user-friendly point of care devices.
The team (team NIMA) proposed a novel solution to tackle this Multi-label classification problem by creating a Deep convolutional neural network that used the time domain and frequency domain of the ECG signals to classify the 26 scored cardiac abnormalities. The results showed that reduced-lead ECG data can obtain almost the same accuracy obtained using all leads.
The team was able to obtain 3rd place in the All-lead, 3-lead, and 2-lead categories competing against 39 International teams. The 2nd place was obtained by team DSAIL_SNU, mainly from Seoul National University. And, the 1st place was obtained by team ISIBrno-AIMT, mainly from the Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Remarks: The collaboration between Nima L. Wickramasinghe and Athif Mohamed was facilitated by the ScholarX program from the Sustainable Education Foundation. ScholarX is a 6-month program for Sri-Lankan undergraduates who would like to get free premium mentoring during their study period.
Link to challenge: https://physionetchallenges.org/2021/Read More
A team of undergraduate students (Team NFPUndercover) from the Department of Electronic and Telecommunication Engineering (ENTC) under the supervision of Dr. Chamira Edussooriya from ENTC, University of Moratuwa, became the 2nd runner up in the IEEE Video and Image Processing Cup (VIP Cup) 2021 competition at the 28th International Conference on Image Processing (ICIP) 2021. ICIP is an annual flagship conference of the IEEE Signal Processing Society which is one of the world’s premier associations for signal processing engineers, academics, and industry professionals. This year the conference was held from the 19th to 22nd of September 2021, virtually in Anchorage, Alaska, USA. The IEEE VIP Cup competition is one of the most prestigious competitions in video and image processing for undergraduate students. This year’s task was to develop a robust algorithm to estimate in-bed human poses under heavy occlusion caused by blankets and varying illumination conditions. This algorithm can be utilized for in-bed human behavior monitoring during sleep or rest state, which is crucial for prognostic, diagnostic, and treatment of many healthcare complications. Team NFPUndercover proposed a novel solution for this task leveraging multiple approaches from both computer vision and signal processing such as extreme occlusion-based data augmentation and label smoothening via knowledge distillation. Specifically, their approach is feasible to implement in a resource-constrained setup. Image Processing and Machine Vision is a branch of Artificial Intelligence that models and learns the image representations to autonomously accomplish downstream tasks such as Image Classification, Object Detection, Semantic Segmentation, etc. It utilizes advanced statistical and mathematical algorithms to make a machine see and understand the real world as humans do. This achievement by UoM places Sri Lanka at a higher position in the world of the image processing communityRead More
Team DigitX, a team of ten undergraduates from the Department of Electronic and Telecommunication Engineering (ENTC) under the supervision of Dr. Chamira Edussooriya from ENTC, University of Moratuwa, emerged as the champions of the Students Challenge at the Internal Conference on Autonomous Systems (ICAS) 2021 conference. The conference was held virtually in Montreal, Canada from August 11 to 13, 2021.
ICAS 2021 is the premier international forum organized by the IEEE Signal Processing Society (SPS) through IEEE SPS Autonomous Systems Initiative, for presenting the technological advances and research results in the fields of theoretical, experimental and applied autonomous systems. IEEE ICAS was held for the first time this year and it focused on providing an updated state-of-the-art over advanced signal processing theories and techniques that are relevant for developing autonomous systems.
The ICAS 2021 Students Challenge was on “unsupervised anomaly detection through self-aware autonomous systems”, to detect abnormal events during the navigation of a ground/ aerial vehicle. The team was able to develop an unsupervised learning algorithm with state-of the-art signal processing and machine learning techniques such as auto-encoders, recurrent neural networks for time-series data signal processing.
Based on the inertial measurement unit (IMU) sensor data, video data captured by the cameras of autonomous systems in several camera perspectives and light detection and ranging (LIDAR) sensor data (point clouds), the unsupervised model was trained to identify the normal situations that it saw during the training phase as normal and every other situation as abnormal (as per the challenge requirement a reference normal scenario was defined for each dataset). UoM won the first place while a team from Indian Institute of Technology (IIT), India and a team from CentralSupelec, France won first and second runners up, respectively.
An autonomous system is an artificial system capable of performing a set of tasks with a high degree of autonomy. Developing computing systems with advanced levels of autonomy has been a crucial task for decades in order to manage ever-increasing requirements in complexity. This achievement by UoM places Sri Lanka at a higher position in the world signal processing community.Read More
A team of undergraduate students (Team T- Cubed) from the Department of Electronic and Telecommunication Engineering (ENTC) under the supervision of Dr. Prathapasinghe Dharmawansa from ENTC, University of Moratuwa, won the first place in the IEEE Signal Processing Cup 2021 competition at the ICASSP 2021 conference.Read More