Hyung-Pil Chang | Deep Learning | Best Researcher Award

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Mr. Hyung-Pil Chang | Deep Learning | Best Researcher Award

Mr at Korea University,  South Korea

Hyung-pil Chang is a dedicated graduate student at Korea University, pursuing a Ph.D. in Computer Science and Engineering. With a keen interest in deep learning and speech processing, he focuses on enhancing communication between humans and machines. He has contributed to several innovative projects in voice conversion and speech recognition, demonstrating a commitment to advancing technology in these fields. In addition to his academic pursuits, Chang actively engages in various sports and cultural activities, reflecting a well-rounded personality. His passion for research is complemented by his desire to develop practical solutions for real-world problems in artificial intelligence.

Profile

Scopus

Orcid

Scholar

Education 🎓

Hyung-pil Chang began his academic journey at Hansung University, where he earned a Bachelor of Science in Information System and Engineering from March 2014 to February 2020. He continued his studies at Korea University, obtaining a Master of Science in Computer Science and Engineering from 2020 to 2022. Currently, he is pursuing his Doctor of Philosophy in the same field at Korea University, enhancing his knowledge and expertise in deep learning, speech recognition, and human-computer interaction.

Experience 💼

Chang has gained valuable experience as a research assistant at Korea University’s Artificial Intelligence Laboratory since March 2020, working under the guidance of Prof. Dongsuk Yook. He has also served as a teaching assistant for undergraduate courses in Artificial Intelligence and Machine Learning, honing his teaching skills and sharing his knowledge with students. Additionally, he briefly worked in the Voice Generation Team at KT on a multi-modal project, where he contributed to advancements in voice conversion technologies, further solidifying his practical experience in the field.

Awards and Honors 🏆

Hyung-pil Chang has received recognition for his academic and research achievements, including publications in reputable journals such as MDPI Applied Sciences and IEEE Access. His contributions to voice conversion and speaker anonymization research have garnered attention in the field of speech processing. While specific awards are not listed, his active participation in conferences and collaboration on innovative projects highlight his commitment to excellence in research and development, positioning him as an emerging talent in artificial intelligence and deep learning.

Research Focus 🔬

Chang’s research centers on enhancing communication between people and machines, particularly in speech processing. He aims to improve speech recognition models using self-training techniques on large amounts of unlabeled data. His work also explores explainable AI and the development of a general-purpose domain agent capable of interacting with humans across various tasks, including vision and natural language processing. Key areas of focus include speech recognition, synthesis, voice conversion, and human-computer interaction, contributing to advancements in multi-modal language models.

📝 Conclusion

Hyung-pil Chang demonstrates strong potential as a leading researcher in deep learning and speech processing. His academic background, research contributions, and innovative spirit position him well for the Best Researcher Award. By focusing on collaboration, expanding his publication record, and engaging more with the broader community, he can enhance his impact even further. Given his current trajectory, he is well on his way to making significant contributions to his field and is a worthy candidate for recognition.

Publications Top Notes

  • Wav2wav: Wave-to-Wave Voice Conversion
    C Jeong, H Chang, IC Yoo, D Yook
    Applied Sciences, 2024, 14(10), 4251.

 

  • Zero-Shot Unseen Speaker Anonymization via Voice Conversion
    HP Chang, IC Yoo, C Jeong, D Yook
    IEEE Access, 2022, 10, 130190-130199.

 

  • CycleDiffusion: Voice Conversion Using Cycle-Consistent Diffusion Models
    D Yook, G Han, HP Chang, IC Yoo
    Applied Sciences, 2024, 14(20), 9595.

 

 

 

Rouholla Bagheri| Deep Learning | Best Researcher Award

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Assoc Prof Dr. Rouholla Bagheri | Thermodynamics | Best Researcher Award

Assoc Prof Dr. Ferdowsi University of Mashhad Iran

Dr. Rouholla Bagheri is an Assistant Professor in the Department of Management at Ferdowsi University of Mashhad, Iran. He holds a Ph.D. in Systems Management from Shahid Beheshti University, focusing on knowledge networks in the automotive sector. With a distinguished academic record, Dr. Bagheri has received numerous awards, including the 26th National Outstanding Student Award. His research interests span IoT healthcare systems, supply chain networks, and multi-objective optimization. An active member of various professional associations, he has published extensively in peer-reviewed journals, contributing significantly to the fields of information systems and management.

 

Publication profile

 

🎓 Educational Background

Ph.D. in Systems Management (2013-2018) Shahid Beheshti University, Iran Dissertation: Design a Model of Developing Knowledge Networks in the Car Engine Research Center, GPA: A+. MBA (2012) Amirkabir University, Iran, GPA: A. B.Eng. in Computer Software Engineering (2005)
Bahonar University, Iran, GPA: B

📚 Current Professional Memberships

Member, International Scientific Committee and Editorial Review Board, World Academy of Science, Engineering, and Technology. Member, Council of Knowledge Management in Iran. Member, AIS (Association for Information Systems) of Iran. Member, AKS (Association for Knowledge Management) of Iran. Head, Business Intelligence Department, Association of Management of Iran

🏆 Honors and Awards

Distinguished Assistant Professor, Ferdowsi University (2022). National Outstanding Student Award Winner (2012, 2017). National Science Foundation Award (2013). Book of the Year Award in Information Systems and Management (2010)

Publication

    1. Assessing dimensions influencing IoT implementation readiness in industries: A fuzzy DEMATEL and fuzzy AHP analysis
      Authors: MZ Nezhad, J Nazarian-Jashnabadi, J Rezazadeh, M Mehraeen, …
      Year: 2023

     

    1. BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
      Authors: JH Joloudari, S Hussain, MA Nematollahi, R Bagheri, F Fazl, …
      Year: 2023

     

    1. The mediator role of KM process for creative organizational learning case study: knowledge based companies
      Authors: R Bagheri, MR Hamidizadeh, P Sabbagh
      Year: 2015

     

    1. Examining the impact of product innovation and pricing capability on the international performance of exporting companies with the mediating role of competitive advantage
      Authors: J Rezazadeh, R Bagheri, S Karimi, J Nazarian-Jashnabadi, MZ Nezhad
      Year: 2023

     

    1. The relationship of knowledge management and organizational performance in Science and Technology Parks of Iran
      Authors: MA Haghighi, R Bagheri, PS Kalat
      Year: 2015

     

    1. The Evaluation of Knowledge Management Maturity Level in a Research Organization
      Authors: R Bagheri, P Eslami, S Mirfakhraee, M Yarjanli
      Year: 2013

     

    1. Factors affecting the implementation of the blue ocean strategy: A case study of Medicom production manufacturing company
      Authors: R Bagheri, SP Eslami, M Yarjanli, N Ghafoorifard
      Year: 2013

     

    1. Modelling the factors affecting the implementation of knowledge networks
      Authors: A Rezaeian, R Bagheri
      Year: 2017

     

    1. Revolutionizing supply chain sustainability: An additive manufacturing-enabled optimization model for minimizing waste and costs
      Authors: P Roozkhosh, A Pooya, O Soleimani Fard, R Bagheri
      Year: 2024

     

    1. Robust cooperative maximal covering location problem: A case study of the locating Tele-Taxi stations in Tabriz, Iran
      Authors: H Rezazadeh, S Moghtased-Azar, MS Kisomi, R Bagheri
      Year: 2018

     

    1. Examining the Relationship between organizational Climate and Entrepreneurship with regard to Staff’s Locus of Control in Industry Companies in Iran
      Authors: R Bagheri, M Yarjanli, R Mowlanapour, N Mahdinasab
      Year: 2016

     

    1. Investigating the Effect of Perceived Ethical Leadership on Knowledge Hiding: A Case Study on an Automobile Factory
      Authors: F Imani, G Eslami, R Bagheri
      Year: 2022

    Conclusion 🎓

    Rouholla Bagheri exemplifies the qualities of a strong candidate for the Best Researcher Award, with a robust educational background, a significant publication portfolio, and numerous accolades. By focusing on applied research, enhancing collaborative efforts, and increasing public engagement, he can further amplify his impact in the field of information systems and management. His dedication to advancing knowledge and fostering innovation positions him as a valuable asset to academia and beyond.

ABEL YU HAO CHAI | DEEP LEARNING | BEST RESEARCHER AWARD

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Mr. ABEL YU HAO CHAI | DEEP LEARNING | BEST RESEARCHER AWARD

PHD at SWINBURNE UNIVERSITY OF TECHNOLOGY SARAWAK CAMPUS Malaysia

Abel Chai Yu Hao is a PhD candidate at Swinburne University of Technology Sarawak, specializing in computer vision, machine learning, and deep learning. His research focuses on developing interpretable deep learning models for plant disease identification, collaborating with CIRAD and INRIA on innovative agricultural projects. With a Master’s degree in wireless communication, Abel has contributed to improving rural connectivity in Sarawak through cost-effective wireless solutions. He has co-authored numerous journal articles and conference papers on topics ranging from unseen plant disease recognition to wireless data transmission. Abel is a recipient of multiple awards, including the Gold Award at the Innovation Technology Exposition 2023, and is an active IEEE member.

scholar

🎓 Education

Doctor of Philosophy (2022 – Present) Swinburne University of Technology Sarawak Campus Research focus: Computer Vision, Machine Learning, Deep Learning, AI. Master of Engineering (2019 – 2021) Swinburne University of Technology Sarawak Campus Research focus: Wireless communication, Wi-Fi, Rural connectivity. Bachelor of Engineering (Honours), Electrical & Electronics Engineering (2014 – 2018) Swinburne University of Technology Sarawak Campus CGPA: 3.97/4 (High Distinction)

🏫 Professional Experience

Teaching Assistant (2019 – Present) Swinburne University of Technology Sarawak Campus Assisting in course delivery, tutorials, and research guidance

🏆 Awards & Scholarships

Gold Award in Innovation Technology Exposition (2023). Best Paper Award at International UNIMAS Engineering Conference (EnCon) (2020). Sarawak Energy External Scholarship (2015-2018). Swinburne Entrance Scholarship (2014)

🌱 Research Projects

Plant Disease Identification with Deep Learning (2022 – ongoing) Collaborating with experts from CIRAD, INRIA, focusing on AI-based plant disease detection. Rural Internet Connectivity Solutions (2019 – 2021) Conducted cost-performance analysis for wireless solutions in partnership with Sarawak Multimedia Authority (SMA)

Publication

  • Pairwise Feature Learning for Unseen Plant Disease Recognition
    Conference: International Conference on Image Processing (ICIP)
    Year: 2023
    Pages: 306–310
    Contributors: Hao Chai A.Y., Han Lee S., Tay F.S., Bonnet P., Joly A.

 

  • Unveiling Robust Feature Spaces: Image vs. Embedding-Oriented Approaches for Plant Disease Identification
    Conference: Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
    Year: 2023
    Pages: 666–673
    Contributors: Ishrat H.A., Chai A.Y.H., Lee S.H., Then P.H.H.

 

  • Development and Application of Outdoor Router Cost Estimation with Parametric Modelling Technique
    Conference: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    Year: 2022
    Contributors: Chai A.Y.H., Lai C.H., Tay F.S., Lim N.C.Y., Vithanawasam C.K.

 

  • Model Study for Outdoor Data Transmission Performance
    Conference: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    Year: 2022
    Contributors: Chai A.Y.H., Then Y.L., Tay F.S., Lim N.C.Y., Vithanawasam C.K.

 

  • Parametric Model Study for Outdoor Routers Cost Estimation
    Conference: 13th International UNIMAS Engineering Conference (EnCon)
    Year: 2020
    Contributors: Hao Chai A.Y., Hung Lai C., Su H.T., Siang Tay F., Yong L.

🏆 Conclusion:

Abel Chai Yu Hao is a highly qualified candidate for the Best Researcher Award, given his solid academic background, impactful publications, international collaborations, and ongoing contributions to the field of AI and wireless communication. With continuous focus on expanding his research and increasing engagement, his profile can only continue to rise.

Valentina Franzoni | Complex networks | Best Researcher Award

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Prof. Valentina Franzoni | Complex networks | Best Researcher Award

professor at University of Perugia, Italy

Dr. Valentina Franzoni is a tenure-track professor at the University of Perugia, specializing in Artificial Intelligence, Affective Computing, and Human-Computer Interaction. With a PhD in Computer Engineering from La Sapienza University of Rome, she leads research in Affective Computing and Ethics for AI, contributing to multidisciplinary projects and initiatives such as the EmoRe team and KITlab. She also teaches at Hong Kong Baptist University and collaborates with Gumilyov Eurasian University. An accomplished researcher with 72 publications and over 979 citations, Dr. Franzoni is a keynote speaker, organizer of international conferences, and a senior IEEE member with a strong interdisciplinary background in psychology, philosophy, and ethics.

Publication profile

Education and Specializations

Ph.D. in Computer Engineering (La Sapienza University of Rome, Italy) Thesis: “A Unifying Approach to Semantic and Topological Similarity in Information Networks” Supervisors: Marco Schaerf, Daniele Nardi. Master’s Degree in Computer Science (University of Perugia, Italy, with honors, 110/110 cum laude) Thesis: “Semantic Proximity Measures for the Web”. Bachelor’s Degree in Computer Science (University of Perugia, Italy) Thesis: “Web Usability on the Nintendo Wii Platform”. Liberal Studies Diploma (Liceo Classico “Annibale Mariotti”, Perugia, Italy)

Professional Experience

Tenure-Track Professor (University of Perugia, Italy) Courses: Artificial Intelligence, Affective Computing, Human-Computer Interaction. Responsibilities: Leads research on Affective Computing and Ethics for AI (EmoRe), coordinates data analysis in multidisciplinary projects, involved in communication and outreach, and setting up a university spin-off in AI and Affective Computing.. Lecturer (Hong Kong Baptist University, Hong Kong) Courses: E-Business Technology, Electronic Transformation in Business Agreement Duration: 2021-2024 External Teacher and Consultant (Gumilyov Eurasian University, Kazakhstan) Roles: Advisor to Ph.D. candidates Coordinator and Senior Visiting Research Assistant (Hong Kong Baptist University, Hong Kong) Roles: Coordinator of HKBU-Unipg summer exchange programme (2012-2017), Senior Visiting Research Assistant (2012, 2016)

Research and Grants

Current Projects: Work Package Coordinator for the “1.1 Organoids” project on data analysis and bioinformatics.. Leader of Affective Computing and Emotion Recognition research group at University of Perugia.. Past Grants:. Funding for e-learning research (PRIN “PHRAME” project) Scholarships for various international conferences and summer schools. Research grants for projects on e-learning and semantic annotation

Academic and Professional Activities

Conferences and Workshops: Organizer and keynote speaker at various events related to AI, affective computing, and ethics. Publications: Articles: 72 indexed in international journals and conference proceedings Book Chapters: 2 scientific, 1 educational Citations: Over 979; H-index: 20 (Scopus, July 2024) Editorial and Review Roles: Guest editor, reviewer for scientific journals, senior IEEE member

Educational and Training Activities

Courses: Attended various summer schools and training in Open Science, Reasoning Web, Mathematics, and more.. Additional Education: Courses in theology, philosophy, and psychology from Theological Institute of Assisi and University of Perugia.

Graduate and PhD Thesis Supervision 🎓

Zhanerke Musekenova: Intelligent document management system (2020). Gaukhar Baltabayeva: Intelligent video surveillance system (2020). Giulio Biondi: Meta-Correlations for Link Prediction (2021). Andrea Migni: Intelligent search on didactic-scientific repositories (May 2019). Giulio Biondi: Semantic and topological proximity in link prediction (April 2017). Gianluca Curto: Randomized Walk Generation Strategies for Recommendation Systems (July 2016). Paolo Mengoni: Semantic Proximity Measures in Collaborative Networks (February 2014). Marco Mencacci: Randomized Paths in Collaborative Networks (February 2014). Fabrizio Piccinato: Visual Interfaces for E-learning Platforms (May 2014). Fabiana Zollo: Automated Classification on the book social network Zazie (May 2013). Sabrina Manni: Information Security in Cloud Computing (May 2013)

Awards and Acknowledgements 🏆

  • Best Paper Award
    • Title: “Semantic Similarity Measures for Topological Link Prediction”
    • Event: International Conference of Computer Science and Its Applications (ICCSA)
    • Date: July 1-4, 2020
    • Location: Cagliari, Italy
  • Leadership Certificate
    • Event: 19th International Conference on Computational Science and Applications (ICCSA) and associated workshops (ACER-EMORE and IWCES)
    • Date: July 1-5, 2019
    • Location: Saint Petersburg, Russia
    • Recognition: Outstanding contribution
  • Certificate for Workshop Organizers
    • Event: Affective Computing and Emotion Recognition (ACER)
    • Affiliation: IEEE/WIC/ACM WI 2017
    • Date: 2017
    • Location: Leipzig University
  • Leadership Certificate
    • Event: 17th International Conference on Computational Science and Applications (ICCSA) and associated workshops (EMORE and IWCES)
    • Date: July 3-6, 2017
    • Location: Trieste, Italy
    • Recognition: Outstanding contribution
  • Award for Excellent Contribution
    • Recognition: 5-years coordination of the HKBU-UNIPG International Exchange Programme
    • Date: 2016
    • Affiliation: University of Perugia and Hong Kong Baptist University
  • FSE Awards 2014, III Prize
    • Category: Young researchers and mobility
    • Project: Por Umbria FSE “iLearn: usability metrics and developing protocols for e-learning on innovative mobile devices”
    • Region: Umbria
  • Award for Outstanding Coordination
    • Event: HKBU-UNIPG International Exchange Programme
    • Date: 2014
    • Affiliation: University of Perugia and Hong Kong Baptist University
  • Award for Outstanding Coordination
    • Event: HKBU-UNIPG International Exchange Programme
    • Date: 2013
    • Affiliation: University of Perugia and Hong Kong Baptist University

 

Publication

  1. A deep learning semantic approach to emotion recognition using the IBM Watson Bluemix Alchemy language
    Journal: Computational Science and Its Applications – ICCSA 2017: 17th International
    Year: 2017
    Citations: 51
    Contributors: G Biondi, V Franzoni, V Poggioni

 

  1. Context-based image semantic similarity
    Conference: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery
    Year: 2015
    Citations: 48
    Contributors: V Franzoni, A Milani, S Pallottelli, CHC Leung, Y Li

 

  1. Web-based similarity for emotion recognition in web objects
    Conference: Proceedings of the 9th International Conference on Utility and Cloud
    Year: 2016
    Citations: 47
    Contributors: G Biondi, V Franzoni, Y Li, A Milani

 

  1. PMING distance: a collaborative semantic proximity measure
    Conference: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and
    Year: 2012
    Citations: 47
    Contributors: V Franzoni, A Milani

 

  1. Artificial Intelligence Visual Metaphors in E-Learning Interfaces for Learning Analytics
    Journal: Applied Sciences
    Year: 2020
    Citations: 44
    Contributors: V Franzoni, A Milani, P Mengoni, F Piccinato
  1. Semantic context extraction from collaborative networks
    Conference: Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th
    Year: 2015
    Citations: 31
    Contributors: V Franzoni, A Milani

 

  1. Multi-path traces in semantic graphs for latent knowledge elicitation
    Conference: Natural Computation (ICNC), 2015 11th International Conference
    Year: 2015
    Citations: 28
    Contributors: V Franzoni, A Milani, S Pallottelli

 

  1. Semantic Heuristic Search in Collaborative Networks: Measures and Contexts
    Conference: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI)
    Year: 2014
    Citations: 28
    Contributors: Franzoni V., Mencacci M., Mengoni P., Milani A.

 

  1. Heuristics for semantic path search in Wikipedia
    Conference: International Conference on Computational Science and Its Applications
    Year: 2014
    Citations: 27
    Contributors: V Franzoni, M Mencacci, P Mengoni, A Milani

Conclusion 📝

The candidate demonstrates outstanding qualifications for the Best Researcher Award, with a distinguished educational background, extensive professional experience, and a significant record of research achievements. Their leadership in research and contributions to the academic community are commendable. To further strengthen their profile, focusing on expanding their research scope, increasing collaborations, and enhancing public outreach would be beneficial. Overall, their accomplishments and ongoing contributions position them as a leading candidate for the award.

Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

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Ms. Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

Lecturer at  University of Sri Jayewardenepura, Sri Lanka 

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

🎓 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)

🔬 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

🧑‍🏫 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

🏅 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

🏢 Professional Service

2023 – Present Treasurer, Past Pupils’ 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

✅ 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.

seyed matin malakouti | AI | Best Researcher Award

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seyed matin malakouti | AI | Best Researcher Award

Seyed Matin Malakouti is an accomplished Electrical Engineering professional specializing in machine learning and control systems. He holds an MS in Control System Engineering from the University of Tabriz and a BS in Electrical Engineering from Isfahan University of Technology. Malakouti has published extensively on topics including wind power prediction, temperature change modeling, and heart disease classification. His work has appeared in prominent journals such as Energy Exploration & Exploitation and Case Studies in Chemical and Environmental Engineering. He has received recognition for his research, including awards for Best Researcher and nominations for Best Paper. Malakouti’s research interests span applied machine learning, renewable energy, and biomedical signal processing. He is also an active peer reviewer for various scientific journals.

Publication profile

google scholar

🎓 Education

MS in Electrical Engineering – Control System Engineering University of Tabriz, Tabriz, Iran (2019 – 2022). BS in Electrical Engineering
Isfahan University of Technology (IUT), Isfahan, Iran (2014 – 2019)

🏢 Professional Experience

Undergraduate Teaching Assistant Dept. of Electrical Engineering, Isfahan University of Technology (IUT) (2015 – 2018) Assisted in teaching core courses such as Calculus I, II, Electrical Circuit I, II, and Electronics II.

🏆 Awards & Fellowships

Best Researcher, International Conference on Cardiology and Cardiovascular Medicine (2023). Nominated for Best Paper Award, International Research Awards on Mathematics and Optimization Methods (2023)

👨‍🏫 Teaching Experience

Spring 2018: Calculus I, Teaching Assistant. Spring 2017: Calculus II, Teaching Assistant. Fall 2016: Electrical Circuit I, Teaching Assistant. Spring 2015: Electrical Circuit II, Teaching Assistant

Research for Best Researcher Award: Seyed Matin Malakouti

🌟 Strengths for the Award

  1. Diverse Research Contributions: Seyed Matin Malakouti has an extensive list of publications covering a broad range of topics, from wind power generation and temperature change prediction to heart disease classification and asteroid detection. This indicates a high level of versatility and a strong ability to apply machine learning across different domains.
  2. Cutting-Edge Techniques: His work utilizes advanced machine learning techniques such as CNN-LSTM, ensemble methods, and Bayesian optimization. This demonstrates a commitment to leveraging state-of-the-art methods to address complex problems.
  3. High-Impact Publications: Malakouti has published in high-impact journals such as Energy Exploration & Exploitation, Biomedical Signal Processing and Control, and Case Studies in Chemical and Environmental Engineering. His work is also recognized by prestigious conferences and has received nominations for awards.
  4. Peer Review Engagement: Active involvement in peer review for numerous reputable journals reflects his expertise and recognition within the academic community.
  5. Awards and Recognition: Being named the Best Researcher at an international conference and receiving nominations for best paper awards highlights his research’s quality and impact.

🔍 Areas for Improvement

  1. Broader Impact Assessment: While his technical contributions are substantial, including a focus on how his research impacts broader societal and industrial contexts could further enhance his profile. Emphasizing real-world applications and collaborations could demonstrate the practical significance of his work.
  2. Interdisciplinary Collaboration: Engaging in interdisciplinary projects could further enrich his research profile. Collaborating with researchers from other fields, such as environmental science or healthcare, could lead to innovative solutions and increase the impact of his work.
  3. Public Engagement and Outreach: Increasing efforts in public science communication and outreach could help bridge the gap between academic research and public understanding. Engaging with non-academic audiences through popular science articles, talks, or educational programs could be beneficial.

Publication top notes

  1. Title: Predicting wind power generation using machine learning and CNN-LSTM approaches
    Citations: 46
    Year: 2022
    Journal: Wind Engineering 46(6), 1853-1869

 

  1. Title: Heart disease classification based on ECG using machine learning models
    Citations: 39
    Year: 2023
    Journal: Biomedical Signal Processing and Control 84, 104796

 

  1. Title: Utilizing time series data from 1961 to 2019 recorded around the world and machine learning to create a Global Temperature Change Prediction Model
    Citations: 37
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 7, 100312

 

  1. Title: The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
    Citations: 32
    Year: 2023
    Journal: Cleaner Engineering and Technology 15, 100664

 

  1. Title: Use machine learning algorithms to predict turbine power generation to replace renewable energy with fossil fuels
    Citations: 26
    Year: 2023
    Journal: Energy Exploration & Exploitation 41(2), 836-857

 

  1. Title: Evaluation of the application of computational model machine learning methods to simulate wind speed in predicting the production capacity of the Swiss basel wind farm
    Citations: 21
    Year: 2022
    Journal: 2022 26th International Electrical Power Distribution Conference (EPDC), 31-36

 

  1. Title: Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation
    Citations: 19
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 8, 100351

 

  1. Title: Estimating the output power and wind speed with ML methods: a case study in Texas
    Citations: 17
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 7, 100324

 

  1. Title: Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in Predicting Wind Speed and Energy Generation
    Citations: 15
    Year: 2023
    Journal: Intelligent Systems with Applications 19, 200248

 

  1. Title: AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area
    Citations: 15
    Year: 2022
    Journal: e-Prime-Advances in Electrical Engineering, Electronics and Energy 2, 100084

 

  1. Title: Prediction of wind speed and power with LightGBM and grid search: case study based on Scada system in Turkey
    Citations: 8
    Year: 2023
    Journal: International Journal of Energy Production and Management 8.

 

🏆 Conclusion

Seyed Matin Malakouti is a strong candidate for the Research for Best Researcher Award due to his diverse and impactful research contributions, utilization of advanced machine learning techniques, and recognition within the academic community. By focusing on broader impact, interdisciplinary collaboration, and public engagement, he can further enhance his research profile and increase the overall impact of his work.

Mona Navaei-Nigjeh | Neural tissue engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Mona Navaei-Nigjeh | Neural tissue engineering | Best Researcher Award

Dr.  Mona Navaei-Nigjeh Tehran University of Medical Sciences Iran

Mona Navaei-Nigjeh is a Ph.D. candidate in Biomedical Engineering specializing in tissue engineering at Tehran University of Medical Sciences. With a strong academic background, including a B.Sc. in Biology and an M.Sc. in Biomedical Engineering, she has garnered multiple awards for her research excellence. Her work focuses on advanced cell culture, molecular biology, and regenerative medicine. Mona has extensive experience as a research assistant and has published numerous peer-reviewed articles. She is also a member of elite societies like the Iran’s National Elites Foundation and the Iranian Tissue Engineering and Regenerative Medicine Society.

Publication Profile

Scholar

 

🏆 Strengths for the Award:

  1. Academic Excellence: Consistent top performance in her B.Sc., M.Sc., and Ph.D. programs with outstanding grades.
  2. Awards and Honors: Recognition as the best researcher and poster presenter in several prominent national scientific festivals and conferences.
  3. Research Publications: Authored or co-authored over 20 publications in high-impact journals, with topics ranging from tissue engineering to molecular biology.
  4. Technical Expertise: Proficient in advanced techniques such as 3D cell culture, flow cytometry, real-time PCR, and scaffold fabrication, which are critical for high-impact research in her field.
  5. Professional Affiliations: Active membership in elite national and international research societies, which enhances her research network and collaboration opportunities.

📈 Areas for Improvement:

  1. International Recognition: While she has been recognized nationally, gaining international research awards or invitations to global conferences would further strengthen her profile.
  2. Leadership Roles: Taking on more leadership positions, such as principal investigator roles or heading research teams, could showcase her as an emerging leader in her field.

Educational Background 🎓

B.Sc. in Biology Tehran University, Tehran, Iran 2005-2009 GPA: 16.39/20. M.Sc. in Biomedical Engineering (Tissue Engineering)
Tehran University, Tehran, Iran 2010-2012 GPA: 19.06/20. Ph.D. in Biomedical Engineering (Tissue Engineering) Tehran University of Medical Sciences, Tehran, Iran Ongoing GPA: 18.94/20

Honors and Achievements 🏅

Member of Iran’s National Elites Foundation (INEF). Member of the Iranian Tissue Engineering and Regenerative Medicine Society (ITERMS). Best Researcher Award, Avicenna Student Festival, Tehran University of Medical Sciences, 2016. Best Poster Awards, various congresses (2015-2016). Outstanding Researcher and Graduate Student, Faculty of New Sciences and Technologies, University of Tehran, 2012. Top Student Awards in B.Sc. and M.Sc. at University of Tehran

Work Experience 💼

Research Assistant Tehran University of Medical Sciences (2 years). Scientific and Executive Role Institute of Pharmaceutical Sciences, Faculty of Pharmacy, Tehran University of Medical Sciences (6 years). Scientific Activity Brain and Spinal Injury Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences (1 year)

Research Experience 🔬

M.Sc. Thesis: “3D Culture of Differentiated Human Endometrial Stem Cells into Neurons”. Ph.D. Thesis: “Effect of Co-Transplantation of Encapsulated Pancreatic Islets with Mesenchymal Stem Cells within Hydrogel as a Treatment for Diabetes Mellitus in Adult Rats”

Workshops 🛠️

  • Elisa Technique, Flow Cytometry, Real-time PCR
    The Institute of Pharmaceutical Sciences, Faculty of Pharmacy, Tehran University of Medical Sciences (2016)

Technical Experience 🧪

Cellular Biology: Culturing various stem cells and cell lines. Molecular Biology: DNA/RNA extraction, RT-PCR, Real-time PCR. Immunology: Immunocytochemistry, Flow Cytometry. Microscopy: Stereo, Fluorescence, and Light Microscopy. Histology: Sample preparation for microscopy and immunohistochemistry. Biochemistry: ELISA, Enzymatic Assays. Tissue Engineering: Fabrication of 3D scaffolds using Electrospinning, Freeze Drying, and Self-assembly

Publication Top Notes 

  • Antibacterial properties of a bacterial cellulose CQD-TiO2 nanocomposite
    • Authors: S. Malmir, A. Karbalaei, M. Pourmadadi, J. Hamedi, F. Yazdian, M. Navaee
    • Journal: Carbohydrate Polymers
    • Year: 2020
    • Citations: 137

 

  • Preparation of pH-sensitive chitosan/polyvinylpyrrolidone/α-Fe2O3 nanocomposite for drug delivery application: Emphasis on ameliorating restrictions
    • Authors: S.E. Gerami, M. Pourmadadi, H. Fatoorehchi, F. Yazdian, H. Rashedi, …
    • Journal: International Journal of Biological Macromolecules
    • Year: 2021
    • Citations: 116

 

  • Ameliorating quercetin constraints in cancer therapy with pH-responsive agarose-polyvinylpyrrolidone-hydroxyapatite nanocomposite encapsulated in double nanoemulsion
    • Authors: A. Samadi, M. Pourmadadi, F. Yazdian, H. Rashedi, M. Navaei-Nigjeh
    • Journal: International Journal of Biological Macromolecules
    • Year: 2021
    • Citations: 91

 

  • Antiapoptotic effects of cerium oxide and yttrium oxide nanoparticles in isolated rat pancreatic islets
    • Authors: A. Hosseini, M. Baeeri, M. Rahimifard, M. Navaei-Nigjeh, A. Mohammadirad, …
    • Journal: Human & Experimental Toxicology
    • Year: 2013
    • Citations: 83

 

  • Improvement of isolated rat pancreatic islets function by combination of cerium oxide nanoparticles/sodium selenite through reduction of oxidative stress
    • Authors: N. Pourkhalili, A. Hosseini, A. Nili-Ahmadabadi, M. Rahimifard, …
    • Journal: Toxicology Mechanisms and Methods
    • Year: 2012
    • Citations: 77

 

  • Protective effects of cerium oxide and yttrium oxide nanoparticles on reduction of oxidative stress induced by sub-acute exposure to diazinon in the rat pancreas
    • Authors: M.R. Khaksar, M. Rahimifard, M. Baeeri, F. Maqbool, M. Navaei-Nigjeh, …
    • Journal: Journal of Trace Elements in Medicine and Biology
    • Year: 2017
    • Citations: 71

 

  • Synthesis and characterization of chitosan/polyvinylpyrrolidone coated nanoporous γ-Alumina as a pH-sensitive carrier for controlled release of quercetin
    • Authors: E. Nematollahi, M. Pourmadadi, F. Yazdian, H. Fatoorehchi, H. Rashedi, …
    • Journal: International Journal of Biological Macromolecules
    • Year: 2021
    • Citations: 68

 

  • PVA based nanofiber containing CQDs modified with silica NPs and silk fibroin accelerates wound healing in a rat model
    • Authors: S. Abolghasemzade, M. Pourmadadi, H. Rashedi, F. Yazdian, S. Kianbakht, …
    • Journal: Journal of Materials Chemistry B
    • Year: 2021
    • Citations: 68

 

  • The synthesis and characterization of double nanoemulsion for targeted Co-Delivery of 5-fluorouracil and curcumin using pH-sensitive agarose/chitosan nanocarrier
    • Authors: M. Pourmadadi, M. Ahmadi, M. Abdouss, F. Yazdian, H. Rashedi, …
    • Journal: Journal of Drug Delivery Science and Technology
    • Year: 2022
    • Citations: 67

 

  • Chitosan/agarose/graphitic carbon nitride nanocomposite as an efficient pH-sensitive drug delivery system for anticancer curcumin releasing
    • Authors: M. Rajabzadeh-Khosroshahi, M. Pourmadadi, F. Yazdian, H. Rashedi, …
    • Journal: Journal of Drug Delivery Science and Technology
    • Year: 2022
    • Citations: 66

 

✅ Conclusion:

Mona Navaei-Nigjeh’s profile demonstrates excellence in academic research, consistent recognition, and contributions to the field of tissue engineering. Her research output and technical skills make her a deserving candidate for the Best Researcher Award. Further international exposure and leadership roles would make her even more competitive for prestigious global awards.