Dr. Seyedeh Tina Sefati | Reinforcement Learning | Best Researcher Award

Dr. Seyedeh Tina Sefati | Reinforcement Learning | Best Researcher Award

Dr. Seyedeh Tina Sefati | Reinforcement Learning | University of Tabriz | Iran

Dr. Seyedeh Tina Sefati is a highly skilled and innovative Ph.D. candidate in Artificial Intelligence at the University of Tabriz, Iran, whose academic and professional trajectory reflects a strong commitment to advancing the fields of deep learning, generative adversarial networks, and game theory. Her doctoral research focuses on unsupervised multivariate time-series anomaly detection, contributing significantly to intelligent sensing and automated decision-making systems. Dr. Seyedeh Tina Sefati holds a Master’s degree in Artificial Intelligence from the University of Tabriz, where she explored spam filtering through game theory, an MBA from the Iran Technical and Vocational Training Organization, and a Bachelor’s degree in Computer Engineering from Seraj University with a thesis on solving optimization problems using ant colony algorithms. Professionally, Dr. Seyedeh Tina Sefati serves as the CEO and AI Architect at Saman Digital Eurasia, leading high-impact projects that integrate deep learning, natural language processing, and image analysis for clients across more than ten countries. Her prior experience as an AI Project Manager at Rayin Samaneh Arta and as a Programming Instructor at MFTabriz showcases her multifaceted expertise in both applied and academic contexts. Her research interests center around deep learning architectures, machine learning, NLP, image processing, and federated reinforcement learning for secure data transmission in wireless sensor networks. She has been involved in several international collaborations and industrial projects, including data-driven solutions for HepsiBurada and AndMe in Turkey, where she developed large-scale AI-based recommendation and forecasting systems. Dr. Seyedeh Tina Sefati’s technical skill set includes advanced proficiency in Python, TensorFlow, PyTorch, CNN, LSTM, GANs, and Transformers, demonstrating her ability to bridge theoretical concepts with real-world applications. Her research excellence is reflected in publications in Scopus and IEEE-indexed journals such as The Journal of Supercomputing and Mathematics. She is a recognized member of professional organizations such as IEEE and ACM and has received honors for her research contributions in deep learning and anomaly detection.

Professional Profiles: Google Scholar

Featured Publications 

  1. Sefati, S. T., Razavi, S. N., & Salehpour, P. (2025). Enhancing autoencoder models for multivariate time series anomaly detection: The role of noise and data amount. The Journal of Supercomputing, 81(4), 559. (2 citations)

  2. Sefati, S. T., Feizi-Derakhshi, M. R., & Razavi, S. N. (2016). Improvement of Persian spam filtering by game theory. International Journal of Advanced Computer Science and Applications, 7(6). (1 citation)

  3. Sefati, S. S., Sefati, S. T., Nazir, S., Farkhady, R. Z., & Obreja, S. G. (2025). Federated reinforcement learning with hybrid optimization for secure and reliable data transmission in wireless sensor networks (WSNs). Mathematics, 13(19), 1–37.

  4. Sefati, S. T., Razavi, S. N. (2024). Hybrid deep learning approach for intelligent anomaly detection in IoT sensor data. IEEE Internet of Things Journal. (3 citations)

  5. Sefati, S. T., Salehpour, P. (2023). GAN-based synthetic data generation for anomaly detection in multivariate time series. Expert Systems with Applications. (4 citations)

  6. Sefati, S. T., Feizi-Derakhshi, M. R. (2022). Game-theoretic optimization in distributed deep learning systems. Applied Intelligence. (2 citations)

  7. Sefati, S. T., Nazir, S. (2021). Deep learning-based adaptive framework for real-time sensor data analysis. IEEE Access. (3 citations)

Dr. Munyaradzi Duve | Artificial Intelligence | Best Researcher Award

Dr. Munyaradzi Duve | Artificial Intelligence | Best Researcher Award

Dr. Munyaradzi Duve, University of Johannesburg, South Africa

Dr. Munyaradzi Duve is a distinguished academic and researcher in the field of accounting and taxation, currently serving as a Postdoctoral Research Fellow in the Department of Accountancy at the University of Johannesburg (2025–2027). He holds a Ph.D. in Economic and Management Sciences with a focus on Taxation from North-West University, South Africa, with his doctoral research examining the implications of presumptive taxation practices in Zimbabwe. Dr. Duve also holds a Master of Commerce in Accounting, a Bachelor of Commerce Honours degree in Accounting, and a Postgraduate Diploma in Higher and Tertiary Education. With over a decade of lecturing experience at Great Zimbabwe University (2010–2024), he has taught and supervised in areas such as financial reporting, taxation, auditing, and financial management. He has held key academic leadership roles, including serving as Chairperson of the Department of Accounting, and has played a pivotal role in curriculum development, departmental management, and community engagement. A Certified Public Accountant and a candidate at the Chartered Institute of Management Accountants (CIMA), Dr. Duve has published in peer-reviewed journals, reviewed academic articles, examined postgraduate theses, and actively contributed to national budget advisory and university audit committees. His research, teaching, and leadership continue to influence accounting education and policy development in Zimbabwe and beyond.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award – Dr. Munyaradzi Duve

Dr. Munyaradzi Duve is a highly qualified and impactful researcher in the field of accounting and taxation, with a demonstrated commitment to advancing knowledge and practice in economic and fiscal policy within developing country contexts, particularly Zimbabwe. His academic and professional journey is distinguished by deep expertise, practical relevance, and meaningful scholarly contributions.

🎓 Education

  • 🧑‍🎓 PhD in Economic and Management Sciences (Taxation)
    North-West University, South Africa – August 2023
    📘 Thesis: The context and role of presumptive taxation: implications of current taxation practices in Zimbabwe.

  • 📚 Master of Commerce in Accounting
    Midlands State University, Zimbabwe – 2011
    📘 Dissertation: The effects of tax incentives on the growth of the manufacturing sector in Zimbabwe.

  • 🧾 Post-Graduate Diploma in Higher and Tertiary Education
    Great Zimbabwe University – December 2018

  • 💼 Bachelor of Commerce Honours in Accounting
    Great Zimbabwe University – August 2008

💼 Work Experience

  • 🧑‍🏫 Lecturer, Great Zimbabwe University (2010 – 2024)
    Taught: Financial Reporting, Taxation, Auditing, Cost & Management Accounting, Financial Management
    📋 Duties: Teaching, research, supervision, examination, committee participation

  • 🧑‍🔬 Postdoctoral Research Fellow, University of Johannesburg (2025 – 2027)
    Department of Accountancy – Continuing research and academic development

🏆 Achievements & Contributions

  • 📄 Published multiple peer-reviewed journal articles in accounting & taxation

  • 📚 Authored book chapters on small business taxation

  • 🌐 Presented research at national and international conferences

  • 👨‍🏫 Supervised undergraduate and postgraduate theses

  • 🛠️ Developed new courses and revised existing ones

  • 🎤 Guest lectured in collaboration with ACCA, ZIMRA, and Chartered Accountants Academy

  • 📊 Organised seminars and outreach programs

  • 👥 Served on university senate and academic committees

  • 🤝 Bridged interdisciplinary research in taxation and economic development

🧑‍💼 Leadership & Administration

  • 🏛️ Chairperson, Dept. of Accounting, Great Zimbabwe University (2023–2024)
    Oversaw curriculum, staff, budgeting, and departmental operations

  • 🧭 School Work-Related Learning Coordinator (2018–2022)
    Designed internship placement frameworks and assessment tools

🏅 Awards, Honors & Professional Engagements

  • 📜 Certified Public Accountant (CPA-Z) (2015)
    Institute of Certified Public Accountants of Zimbabwe

  • 📈 Strategic Level Candidate, Chartered Institute of Management Accountants (CIMA) (Ongoing)

  • 🔍 External Examiner: 10 Master’s Dissertations, 1 PhD Thesis

  • 📑 Journal Reviewer: Reviewed 9 journal articles

  • 💼 Budget Review Committee Member, Ministry of Local Government, Zimbabwe (2023–Present)

  • 🔎 Audit Committee Member, Great Zimbabwe University (2023–Present)

Publication Top Notes:

Unmooring tax compliance: The impact of information technology in the Zimbabwean small firms under presumptive taxation

Exploring Sustainability in Startups: A Systematic PRISMA Review

Artificial Intelligence and Emerging Technologies

Determinants of Small Business Tax Compliance Behaviour: Evidence From Zimbabwean Small Businesses

Bridging sustainable development gap in the gold mining sector of Zimbabwe

The influence of simplicity, fairness and transparency perceptions on presumptive tax compliance

A critical review of presumptive tax systems in developing countries characteristics: a review of the empirical literature

Prof. Din-Yuen Chan | Deep Learning | Best Scholar Award

Prof. Din-Yuen Chan | Deep Learning | Best Scholar Award 

Prof. Din-Yuen Chan, National Chiayi University, Taiwan

Din-Yuen Chan is a prominent scholar in electrical engineering with extensive experience in visual signal processing and computer vision. He earned his Ph.D. in Electrical Engineering from National Cheng Kung University, Taiwan, in 1996. A member of the Visual Signal Processing and Communication Technical Committee (VSPC TC) since 2010, he served as the founding director of the Department of Electrical Engineering (2007–2011) and as Dean of the College of Science and Engineering at National Chiayi University (2017–2020). His research spans semantic object detection, video/audio coding, stereoscopic 3D, AI-based pattern recognition, and deep learning neural networks. In the past five years, he has published multiple SCI-indexed journal papers on topics such as stereo matching, instance segmentation, speaker diarization, depth estimation, and autonomous robotics. As a frequent corresponding author, he continues to lead innovations in applied AI and multimedia processing.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Scholar Award

Dr. Din-Yuen Chan has maintained an outstanding academic career for over two decades, contributing significantly to the fields of electrical engineering and computer vision. His long-standing commitment to advancing knowledge is reflected in his leadership roles and consistent research output in areas such as semantic object detection, AI-based pattern recognition, video/audio coding, and stereoscopic 3D.

🎓 Education

  • Ph.D. in Electrical Engineering
    National Cheng Kung University, Taiwan 🇹🇼
    Completed in 1996

💼 Work Experience

  • 🧠 Member, Visual Signal Processing and Communication Technical Committee (VSPC TC)
    Since 2010

  • 🏛️ Founding Director, Department of Electrical Engineering, National Chiayi University
    2007 – 2011

  • 🎓 Dean, College of Science and Engineering, National Chiayi University
    2017 – 2020

🧪 Research Interests

  • 🔍 Computer Vision

  • 🎯 Semantic Object Detection

  • 🎞️ Video/Audio Coding

  • 🤖 AI-based Pattern Recognition

  • 🥽 Stereoscopic 3D

  • 🧠 Deep Learning Neural Networks

🏅 Achievements & Honors

  • ✍️ Published multiple SCI-indexed journal papers in high-impact venues, including:

    • EURASIP Journal on Image and Video Processing

    • IET Computer Vision

    • Multimedia Tools and Applications

    • Applied Sciences

  • ⭐ First or corresponding author in many significant papers on stereo matching, depth estimation, 3D object placement, and speaker diarization.

  • 🤖 Developed a low-cost autonomous outdoor robot with end-to-end deep learning navigation.

  • 🧏 Invented a new speaker-diarization technology using spectral-LSTM.

  • 🎓 Recognized leader in academia for establishing and leading research and administrative departments.

Publication Top Notes:

A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording

Natural-Prosodic Cross-Lingual Personalized TTS

New Efficient Depth Estimation and Real-Time Object 3D Recognition Models for Humanoid Robotic Environment Understanding

Rational 3D object placement based on deep learning based plane detection

INTEGRATED LIGHT-RESNET AND POOLFORMER NETWORKS FOR SHAPE-PRESERVING LANE DETECTION

Prof. Dr JOSE LUIS PASQUEL REATEGUI | Robotics Award | Best Researcher Award

Prof. Dr JOSE LUIS PASQUEL REATEGUI | Robotics Award | Best Researcher Award

Prof. Dr JOSE LUIS PASQUEL REATEGUI, National University of San Martín, Peru

Dr. Pasquel Reátegui José Luis is a Peruvian researcher specializing in Food Engineering, with expertise in thermodynamics, transport phenomena, and advanced extraction techniques. He holds a Bachelor’s degree in Agroindustrial Engineering from the Universidad Nacional de San Martín (2008), a Master’s (2014), and a Ph.D. (2018) in Food Engineering from the Universidade Estadual de Campinas, Brazil. His research focuses on the valorization of agro-industrial residues, supercritical fluid extraction, ultrasound-assisted processes, emulsions, and encapsulation of bioactive compounds. He has conducted research stays at the University of Cádiz, Spain, and is an active member of Peru’s National System of Science, Technology, and Technological Innovation (SINACYT). Currently, he serves as the General Coordinator of the Agroindustrial Engineering and Technology Research Group (ITAG) at the Universidad Nacional de San Martín, where he also contributes as a co-investigator in various R&D projects.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Suitability of Pasquel Reátegui Jose Luis for the Best Researcher Award

Pasquel Reátegui José Luis is a strong candidate for the Best Researcher Award due to his extensive academic background, impactful research, and leadership roles. His expertise in food engineering, particularly in agroindustrial waste utilization and advanced extraction techniques, aligns with key research advancements in the field. With a Ph.D. from a top Brazilian university and multiple high-impact publications, his contributions to scientific literature are notable. Additionally, his leadership in research groups and administrative roles further demonstrate his dedication to advancing knowledge and innovation.

🎓 Education:

  • Ph.D. in Food Engineering – Universidade Estadual de Campinas, Brazil (2018)
  • M.Sc. in Food Engineering – Universidade Estadual de Campinas, Brazil (2014)
  • B.Sc. in Agroindustrial Engineering – Universidad Nacional de San Martín – Tarapoto, Peru (2008)
  • Research Stay – Universidad de Cádiz, Spain

💼 Work Experience:

  • General Coordinator – Research Group on Agroindustrial Engineering & Technology (Itag), Universidad Nacional de San Martín (2022 – Present) 👨‍🔬
  • Co-Investigator – Universidad Nacional de San Martín (2023 – Present) 🔬
  • Co-Investigator – Universidad Nacional Agraria la Molina (2022 – Present) 🏛️
  • Sub Coordinator (Administrative) – Pre-University Center, Universidad Nacional de San Martín (2024) 📚
  • Director – Research Institute, Universidad Nacional de San Martín (2023) 🏢
  • Committee Member – Safety and Health at Work, Universidad Nacional de San Martín (2023) ⚖️
  • Researcher – Asociación de Productores Diamante Verde (2021 – 2022) 🌱
  • Technical Team Member – Strategic Planning for R&D at Universidad Nacional de San Martín (2022) 📊
  • Committee Member – Research Unit, Universidad Nacional de San Martín (2022) 🧑‍🏫
  • Quality Committee Member – Universidad Nacional de San Martín (2022) ✅
  • Specialized Trainer – Strengthening Scientific Article Writing, Universidad Nacional de San Martín (2021) ✍️

🏆 Achievements & Contributions:

  • Recognized SINACYT Researcher in Science & Technology (Level V) 🔬
  • Expertise in Thermodynamics & Transport Phenomena in Food Engineering ⚛️
  • Specialized in Supercritical Fluid Extraction, Ultrasound, Emulsions & Encapsulation 🧪
  • Development & execution of multiple research projects in food engineering 🍏
  • Contribution to agro-industrial waste utilization for sustainability 🌿

🥇 Awards & Honors:

  • Recognized by CONCYTEC through Sub-Directorate Resolution No. 2285 (2018) 📜
  • Active Renacyt Researcher (P0039487, Level V) until 2025 🏅
  • Leadership in academic and industrial research collaborations 🏛️

Publication Top Notes:

Pressurized liquid extraction of bioactive compounds from blackberry (Rubus fruticosus L.) residues: a comparison with conventional methods

CITED:328

Extraction of antioxidant compounds from blackberry (Rubus sp.) bagasse using supercritical CO2 assisted by ultrasound

CITED:199

Phenolics and carotenoids recovery from agroindustrial mango waste using microwave‐assisted extraction: Extraction and modeling

CITED:23

Production of Copaiba oleoresin particles from emulsions stabilized with modified starches

CITED:16

Production of copaiba (Copaifera officinalis) oleoresin particles by supercritical fluid extraction of emulsions

CITED:12