Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

Ms. Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

Lecturer atĀ  University of Sri Jayewardenepura, Sri LankaĀ 

M.C. Akarshani Amarasinghe is an accomplished academic and researcher pursuing a PhD in Computer Engineering at the University of Sri Jayewardenepura, Sri Lanka. With a strong background in machine learning, image processing, and drone technology, her work focuses on innovative solutions for public health and agriculture. She has contributed to impactful research projects, such as identifying dengue mosquito breeding sites via drones and optimizing pesticide usage in arable lands. Alongside her research, Akarshani has extensive teaching experience, is a mentor for Google Summer of Code, and holds several prestigious awards for her research excellence.

Publication profile

scholar

šŸŽ“ Higher Education

01.2024 – Present PhD in Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka Supervisors: Dr. Udaya Wijenayake, Prof. K.L. Jayaratne Research: Path planning algorithm for achieving multiple goals.. 2011 – 2016. BSc (Hons) in Computer Science, University of Colombo School of Computing, Sri Lanka Second Class Upper Division (3.25/4 – Four-Year Program)

šŸ”¬ Recent Research

D4D (Drone for Dengue) Sustainable Computing Research Group, University of Colombo School of Computing. Research on machine learning and image processing for identifying dengue mosquito breeding sites via drone images. Advisors: Prof. T.N.K. De Zoysa, Dr. C.I. Keppitiyagama. 2017 – Present GitHub Project

šŸ§‘ā€šŸ« Teaching Experience

03.02.2020 – Present Lecturer, Department of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka Subjects: Operating Systems, Data Mining, Natural Language Processing, Quality Engineering, Compilers.01.01.2019 – 31.01.2020 Assistant Lecturer, Department of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology Subjects: Software Engineering Concepts, Programming, Distributed Systems. 01.02.2018 – 30.12.2018 Assistant Lecturer, University of Colombo School of Computing Subjects: Programming Using C, Data Structures, Operating Systems. 2018 Visiting Lecturer, National Institute of Business Management, Sri Lanka Subject: Image Processing. 02.01.2018 – 01.02.2018 Instructor, University of Colombo School of Computing

šŸ… Awards and Achievements

2023 Student Research Project of the Year at the National ICT Awards, NBQSA 2023. 2022 Best Paper in AI and ML Track, ICARC 2022. 2019 N2Women Travel Grant to attend ACM SenSys 2019. 2017 N2Women Travel Grant to attend MobiSys Women’s Workshop

šŸ¢ Professional Service

2023 – Present Treasurer, Past Pupilsā€™ Association, Sadhu Daham Pasala, Sri Lanka. 2015 – Present Committee Member, Thumbowila Api Welfare Society. 2012 – 2016 Committee Member, AIESEC Colombo – South

Publication

  1. Identifying mosquito breeding sites via drone images
    Authors: C Suduwella, A Amarasinghe, L Niroshan, C Elvitigala, K De Zoysa, …
    Conference: Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems
    Year: 2017
    Citations: 29

 

  1. A machine learning approach for identifying mosquito breeding sites via drone images
    Authors: A Amarasinghe, C Suduwella, C Elvitigala, L Niroshan, RJ Amaraweera, …
    Conference: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
    Year: 2017
    Citations: 15

 

  1. Suppressing dengue via a drone system
    Authors: A Amarasinghe, C Suduwella, L Niroshan, C Elvitigala, K De Zoysa, …
    Conference: 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions
    Year: 2017
    Citations: 15

 

  1. A swarm of crop spraying drones solution for optimizing safe pesticide usage in arable lands
    Authors: A Amarasinghe, VB Wijesuriya, D Ganepola, L Jayaratne
    Conference: Proceedings of the 17th Conference on Embedded Networked Sensor Systems
    Year: 2019
    Citations: 10

 

  1. A path planning algorithm for an autonomous drone against the overuse of pesticides
    Authors: A Amarasinghe, VB Wijesuriya, L Jayaratne
    Conference: 2021 10th International Conference on Information and Automation for Sustainability
    Year: 2021
    Citations: 5

 

  1. Drones vs dengue: a drone-based mosquito control system for preventing dengue
    Authors: A Amarasinghe, VB Wijesuriya
    Conference: 2020 RIVF International Conference on Computing and Communication Technologies
    Year: 2020
    Citations: 4

 

  1. Stimme: a chat application for communicating with hearing impaired persons
    Authors: A Amarasinghe, VB Wijesuriya
    Conference: 2019 14th Conference on Industrial and Information Systems (ICIIS)
    Year: 2019
    Citations: 4

āœ… Conclusion

M.C. Akarshani Amarasinghe is an excellent candidate for the Research for Young Scientist Award. Her innovative contributions to drone technology for health and agriculture, leadership roles, and technical skills make her stand out. With continued expansion of her research portfolio and international exposure, she has the potential to achieve even greater recognition in the future.

Parijata Majumdar | Artificial Intelligence | Women Researcher Award

Dr. Parijata Majumdar | Artificial Intelligence | Women Researcher Award

Dr at Techno College of Engineering Agartala India

Dr. Parijata Majumdar is an accomplished academic and researcher in Computer Science and Engineering, currently serving as Associate Professor at Techno College of Engineering Agartala (TCEA). She holds a Ph.D. from NIT Agartala, specializing in AI for Precision Agriculture. With expertise in Machine Learning, Optimization Techniques, and IoT, her research focuses on applications in Precision Agriculture, Image Processing, and Blockchain. Dr. Majumdar has authored numerous SCI and SCOPUS indexed publications, holds multiple patents, and has received several awards and recognitions for her contributions to research and development. She actively participates as a reviewer and speaker in international conferences and journals.

profile:

Scopus

Scholar

 

šŸŽ“ Educational Qualification Details:

Madhyamik (Secondary Education): Board: Tripura Board of Secondary Education Year: 2010 Percentage: 70.29% Division: First Class. Diploma in Computer Science: Institution: Womenā€™s Polytechnic, Hapania Affiliated: Tripura University Year: 2013 CGPA: 8.27 (A Grade). B.E. in Computer Science and Engineering: Institution: TIT, Narsingarh Affiliated: Tripura University Year: 2016 CGPA: 7.92 (B Grade). M.Tech. in Computer Science and Engineering: Institution: Tripura University Year: 2018 CGPA: 8.97 (Gold Medalist). Ph.D. in Computer Science and Engineering: Institution: NIT Agartala Year: 2023 (October) Thesis: “Design and Development of AI Approaches for Precision Agriculture Applications” Supervisor: Dr. Diptendu Bhattacharya, Associate Professor, NIT Agartala

šŸ“š MOOCs/SWAYAM/FDP/Online Courses:

Computational Intelligence (AICTE Training And Learning, NIT Agartala), Joy of Computing using Python (NPTEL, IIT Madras), Internet of Things and Sensor Networks (TEQIP-III, Tripura Institute of Technology), Recent Trends and Research Opportunities in Engineering and Technology (TCEA), Contrast Enhancement in Poor Visibility (Global Initiative of Academic Networks, Tripura University), Image and Video Forensics (Global Initiative of Academic Networks, Tripura University), Entrepreneurship Skills Development Using Open Access Resources (TEQIP-II, Tripura Institute of Technology), Security aspects of IoT based Eco System (AICTE Training And Learning, ATAL Academy)

šŸ‘©ā€šŸ« Working Experience Profile:

Assistant Professor (Regular): Techno College of Engineering Agartala (TCEA) since February 2018., Associate Professor: Techno College of Engineering Agartala (TCEA) since November 2023.

Publication:šŸ“

  • Title: IoT for promoting agriculture 4.0: a review from the perspective of weather monitoring, yield prediction, security of WSN protocols, and hardware cost analysis
    Authors: P. Majumdar, S. Mitra, D. Bhattacharya
    Journal: Journal of Biosystems Engineering
    Year: 2021
    Volume: 46
    Issue: 4
    Pages: 440-461
    Citations: 21

 

  • Title: Application of green IoT in agriculture 4.0 and beyond: Requirements, challenges and research trends in the era of 5G, LPWANs and Internet of UAV Things
    Authors: P. Majumdar, D. Bhattacharya, S. Mitra, B. Bhushan
    Journal: Wireless Personal Communications
    Year: 2023
    Volume: 131
    Issue: 3
    Pages: 1767-1816
    Citations: 13

 

  • Title: IoT and machine learningā€based approaches for real-time environment parameters monitoring in agriculture: an empirical review
    Authors: P. Majumdar, S. Mitra
    Book Chapter: Agricultural Informatics: Automation Using the IoT and Machine Learning
    Year: 2021
    Pages: 89-115
    Citations: 9

 

  • Title: Detection of Inflammation from temperature profile using Arthritis knee joint Datasets
    Authors: P. Majumdar, K. Das, N. Nath, M.K. Bhowmik
    Conference: 2018 IEEE International Conference on Healthcare Informatics (ICHI)
    Year: 2018
    Pages: 409-411
    Citations: 7

 

  • Title: Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm
    Authors: P. Majumdar, D. Bhattacharya, S. Mitra
    Journal: Theoretical and Applied Climatology
    Year: 2023
    Volume: 153
    Issue: 1
    Pages: 649-673
    Citations: 4

 

  • Title: Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement
    Authors: P. Majumdar, D. Bhattacharya, S. Mitra, R. Solgi, D. Oliva, B. Bhusan
    Journal: Paddy and Water Environment
    Year: 2023
    Volume: 21
    Issue: 2
    Pages: 275-293
    Citations: 4

 

  • Title: Honey badger algorithm using lens opposition based learning and local search algorithm
    Authors: P. Majumdar, S. Mitra, D. Bhattacharya
    Journal: Evolving Systems
    Year: 2024
    Volume: 15
    Issue: 2
    Pages: 335-360
    Citations: 2