Petros Barmpas | Statistical Analysis | Best Researcher Award

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Mr. Petros Barmpas | Statistical Analysis | Best Researcher AwardĀ 

Mr at University of The, Greece

Petros Barmpas is a dedicated researcher with a strong background in computer science and biomedical informatics. He has been advancing his academic journey at the University of Thessaly since 2020, following his graduation from the University of Patras with a degree in Computer Engineering and Informatics in 2019. His career is marked by an impressive series of publications and contributions to significant projects in the fields of machine learning, clustering methodologies, and the study of healthcare informatics. Petros is married and a proud father, balancing his professional and personal life with dedication and resilience. His contributions in AI and data analysis have cemented his reputation in both academic and practical applications of computational science.

Profile

Scopus

Education šŸŽ“

Petros Barmpas embarked on his academic career by completing high school in Kozani from 2010 to 2013. He then pursued his Bachelorā€™s degree in Computer Engineering and Informatics at the University of Patras, graduating in 2019. Currently, Petros is enrolled at the University of Thessaly, where he has been deepening his expertise in Computer Science and Biomedical Informatics since 2020. His educational path has equipped him with extensive knowledge and skills in computational algorithms, data analysis, and advanced informatics, supporting his impactful research and publications.

Experience šŸ§‘ā€šŸ«

Since the onset of his academic pursuits, Petros Barmpas has engaged in various research initiatives, focusing on the practical application of AI and machine learning. His participation in the ATHLOS project exemplifies his commitment to large-scale data analysis and unsupervised learning. Throughout his time at the University of Thessaly and during collaborations with peers, he has demonstrated exceptional expertise in hierarchical clustering, ensemble regressors, and hyperdimensional computing approaches. Petrosā€™ professional journey showcases a consistent dedication to solving complex computational problems and advancing methodologies in biomedical informatics.

Awards and Honors šŸ†

Petros Barmpas has earned recognition through numerous high-impact publications in prestigious conferences and journals. His co-authored works in IEEE Congresses and journals like the Springer Journal Health Information Science and Systems underscore his influential presence in the research community. The breadth of his collaborative work reflects the trust and respect he commands among fellow researchers, showcasing his commitment to advancing scientific understanding in AI applications and public health data analysis.

Research Focus šŸ”

Petros Barmpasā€™ research primarily explores innovative approaches to machine learning and data clustering. His interests lie in hyperdimensional computing, hierarchical clustering ensemble methods, and the development of predictive models for healthcare studies. He has applied these techniques to diverse areas, including opioid management during the pandemic and socio-demographic analysis in large-scale studies. Through collaborations and independent work, Petros has contributed to refining algorithms that enhance prediction power and adaptability, positioning his work at the intersection of AI and public health informatics.

ConclusionšŸ“

Petros Barmpas is a distinguished researcher with significant accomplishments in computer science and biomedical informatics. His extensive publication record, innovative contributions to data clustering and health informatics, and strong collaborative efforts underscore his suitability for the Best Researcher Award. Addressing areas such as publishing in higher-impact journals and increasing international engagement could further augment his candidacy. Overall, his academic achievements, commitment to interdisciplinary research, and consistent output make him a deserving nominee for recognition.

Publications šŸ“š

  1. Conference Paper: Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification
    Year: 2024
    Authors: Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 – Proceedings

 

  1. Conference Paper: HCER: Hierarchical Clustering-Ensemble Regressor
    Year: 2024
    Authors: Barmpas, P., Anagnostou, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Communications in Computer and Information Science, 2141 CCIS, pp. 369ā€“378

 

  1. Article (Open access): The Development and Validation of the Pandemic Medication-Assisted Treatment Questionnaire for the Assessment of Pandemic Crises Impact on Medication Management and Administration for Patients with Opioid Use Disorders
    Year: 2023
    Authors: Leventelis, C., Katsouli, A., Stavropoulos, V., Veskoukis, A.S., Tsironi, M.
    Source: NAD Nordic Studies on Alcohol and Drugs, 40(1), pp. 76ā€“94

 

  1. Conference Paper: Neural Networks Voting for Projection Based Ensemble Classifiers
    Year: 2023
    Authors: Anagnostou, P., Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Proceedings of the 2023 IEEE International Conference on Big Data, BigData 2023, pp. 4567ā€“4574

 

  1. Article (Open access): A Divisive Hierarchical Clustering Methodology for Enhancing the Ensemble Prediction Power in Large Scale Population Studies: The ATHLOS Project
    Year: 2022
    Authors: Barmpas, P., Tasoulis, S., Vrahatis, A.G., Plagianakos, V.P., Panagiotakos, D.
    Source: Health Information Science and Systems, 10(1), 6

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,Ā  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 šŸŽ“

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 šŸ’¼

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 šŸ†

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 šŸ”¬

Changā€™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.

šŸ“ 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

 

šŸŽ“ 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

šŸ“š 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

šŸ† 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 Staffā€™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 šŸŽ“

    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.

Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

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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.

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. Malakoutiā€™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

šŸŽ“ Education

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

šŸ¢ 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.

šŸ† 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)

šŸ‘Øā€šŸ« 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

šŸŒŸ 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.

šŸ” 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.

 

šŸ† 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.

Abdallah Houcheimi | Agronomy | Best Researcher Award

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Mr. Abdallah Houcheimi | Agronomy | Best Researcher Award

 

Mr at Abo Akademi University Finland

University instructor and researcher in information systems specializing in Data Management, E-Commerce, Knowledge Management, Business Intelligence, Supply Chain, and Operations Management. Currently pursuing a D.Sc. in Information Systems at ƅbo Akademi University (ƅAU), focusing on e-commerce, decision analytics, and artificial intelligence solutions for business domains.

profile

Orcid

šŸ“š Education

D.Sc. Information Systems (expected October 2024) ƅbo Akademi University (ƅAU) ā€“ Turku, Finland, Master of Business Administration ā€“ International Business (Merit), 2015 University of Liverpool ā€“ United Kingdom, B.S. in Information Technology, 2006 Lebanese International University ā€“ Lebanon

šŸŽ“ Teaching & Professional Experience

2023 ā€“ Present ƅbo Akademi University (ƅAU) Full-time doctoral researcher. 2017 ā€“ 2023 Lebanese International University Instructor and research supervisor in the MIS department. Assistant Dean (2018 ā€“ 2021) – School of Business (Reyak Campus). 2022 ā€“ 2023 MSF Bar Elias Hospital Medical Data Supervisor. 2015 ā€“ 2016 Alpha Data Abu Dhabi, UAE Managing and implementing IT projects including VDI, Applications Virtualization, and Mobility using Citrix and VMWare technologies. 2007 ā€“ 2014 Abu Dhabi Investment Authority (ADIA) Abu Dhabi, UAE Information Technology Analyst and IT Project Leader. 2006 ā€“ 2007 Exceed IT Services Company Abu Dhabi, UAE Information Technology Support Analyst

Publications Top Notes

  • Houcheimi, A., & Mezei, J. (2024). The Role of Secure Online Payments in Enabling the Development of E-Tailing. Journal of Organizational Computing and Electronic Commerce, 1ā€“19. Link

 

  • Houcheimi, A., Mezei, J. (2024). The Role of Online Product Information in Enabling Electronic Retail/E-tailing. In: Rocha, Ɓ., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Link

 

  • Houcheimi, A. (2022). The Key E-Tail Opportunities and Challenges in The Lebanese E-Commerce Market. Journal of Information System and Technology Management, 7(26), 13-31. Link

 

  • Houcheimi, A. (In Press). The role of social media networks in enabling the development of electronic retail (e-tailing). Submitted to Knowledge and Information Systems Journal.

 

Sayandeep Dutta | Computer Science | Young Scientist Award

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Ā Mr. Sayandeep Dutta | Computer Science | Young Scientist AwardĀ 

Mr. Doon Heritage School, India

šŸ‘©ā€šŸ”¬Driven by a passion for entrepreneurship and cybersecurity, aims to excel as a developer and analyst, leveraging diverse skills in machine learning and creative writing. With a track record of achievements, including prestigious awards and contributions to projects like Krishi Sarthi and OWASP Juice Shop, they possess a strong foundation in tech innovation. As founder of Krishi Sarthi and a penetration tester, they combine technical expertise with leadership in organizing cybersecurity events. Certified in HTML and web application penetration testing, they exhibit a keen aptitude for continuous learning and advancement in the field.šŸŒŸ

 

Profile

 

orcid

 

šŸš€Ā Career Aspiration

Aspiring to excel as an entrepreneur, developer, and cybersecurity analyst, I aim to reach the pinnacle of success in my chosen field. With a diverse background in projects ranging from NFT artistry to ethical hacking and machine learning development, I strive to make a significant impact in the tech industry. Recognized for my dedication, I continuously engage with communities and contribute to public development research.

šŸŽ“ Ā Education

  • High School Diploma (Class 10) ā€“ Jermelā€™s Academy, Siliguri (Apr 2011 ā€“ Apr 2022)
  • High School Senior Diploma (Class 12) ā€“ Doon Heritage School, Siliguri (Apr 2022 ā€“ Apr 2024)

šŸ† Ā Achievements

  • Nomination for Pradhan Mantri Rashtriya Bal Puraskar 2024
  • Youngest Participant at Young Scientist Conference, IISF 2023
  • Global Digital Innovation Award 2023

šŸ”Project Details

KrishiSarthi: Developed a project for calculating crop yield per hectare using geographical data. Bugbase Hall Of Fame: Recognized for contributions to bug bounty programs. CVE Issuances: Discovered and reported security vulnerabilities in web applications.

šŸ› ļøProjects

  • OWASP Juice Shop (Contributed): A sophisticated insecure web application for security training.
  • DialDetect (Self): A phone number details finder tool providing comprehensive information.

šŸ’¼Work Experience

Founder, KrishiSarthi: Calculated Crop Yield per hectare using geographical data. Content Writer, MAGICSTEP SOLUTIONS PRIVATE LIMITED: Learned project management and teamwork. Penetration Tester, WPScan – WordPress Security: Discovered CVEs and contributed to cybersecurity magazines. Team Leader, CyRaksha: Organized cybersecurity events to nurture talents. Digital Artist, OpenSea: Created NFTs and connected with other artists.

šŸ“œ Certification

HTML Workshop (2021). Technical Workshop on Web Application Penetration Testing (2023). High School Certificates – Certificate for n00bzCTF2023 (2023). Advance Javascript (2022). Effective Listening (2021)

šŸ”§ Ā Skill Highlights

Cybersecurity, Machine Learning, Creative Writing, Conference Speaking, Team Management

Publications Top Notes šŸ“

  • Development and bioavailability assessment of ramipril nanoemulsion formulation
    • Authors: S Shafiq, F Shakeel, S Talegaonkar, FJ Ahmad, RK Khar, M Ali
    • Journal: European journal of pharmaceutics and biopharmaceutics
    • Year: 2007
    • Volume: 66
    • Issue: 2
    • Pages: 227-243
    • Citations: 1006

 

  • Nanoemulsions as vehicles for transdermal delivery of aceclofenac
    • Authors: F Shakeel, S Baboota, A Ahuja, J Ali, M Aqil, S Shafiq
    • Journal: Aaps Pharmscitech
    • Year: 2007
    • Volume: 8
    • Pages: 191-199
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