Megha Varshney | Mathematics | Best Researcher Award

Published on 02/09/202402/09/2024 by Book of Award

Ms. Megha Varshney | Mathematics | Best Researcher Award

Dr. APJ Abdul Kalam Technical University | India

Author profile

Early Academic Pursuits 🎓

Ms. Megha Varshney’s academic journey began with a strong foundation in mathematics and science. She completed her Bachelor of Science from SM Degree College, Chandausi, District Sambhal, U.P., with a focus on Physics, Chemistry, and Mathematics, achieving a percentage of 74.07%. She further pursued her Master of Science in Pure Mathematics at Banasthali Vidyapith, Tonk, Rajasthan, where she graduated with a CGPA of 8.03. Her intermediate studies, which secured her 1st rank in her district and a Gold Medal, and her high school education, demonstrate her consistent academic excellence from an early age.

Professional Endeavors 💼

Ms. Varshney has been engaged in various roles that highlight her versatility and dedication. As a Research Scholar at Dr. APJ Abdul Kalam Technical University, Lucknow, she has made significant strides in her research, focusing on optimization and nature-inspired metaheuristic algorithms. Her research achievements include publishing articles in SCIE journals, contributing book chapters, and presenting at both national and international conferences. Her role as a Guest Faculty Assistant Professor at SM Degree College allowed her to develop and implement innovative teaching methods, enhancing student engagement and learning outcomes.

Contributions and Research Focus 🔬

Ms. Varshney's research contributions are centered around optimization techniques and metaheuristic algorithms. Notable works include her publications on the hybridization of algorithms, structural engineering problems, and advanced optimization methods. Her research has been showcased in various prestigious journals and conferences, reflecting her commitment to advancing the field of computational mathematics and optimization.

Accolades and Recognition 🏅

Her academic excellence has been recognized through several accolades, including a Certificate of Excellence in Academics awarded by the Chief Minister of Uttar Pradesh in 2013 and securing 1st rank in her district's intermediate examination. Additionally, she is a GATE Qualified candidate with a rank of AIR-339 and a score of 544.

Impact and Influence 🌟

Ms. Varshney's impact extends beyond her research through her innovative teaching methods and curriculum development at SM Degree College. Her contributions to the field of optimization and computational mathematics have influenced both academic circles and practical applications in structural engineering and algorithm development.

Legacy and Future Contributions 🔮

Looking ahead, Ms. Varshney is poised to continue her impactful research and teaching career. Her focus on nature-inspired algorithms and optimization techniques positions her as a leading figure in her field. Her dedication to both research and education ensures that her future contributions will likely advance the boundaries of computational mathematics and inspire future scholars and practitioners.

Publications

📄Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
- Journal: Biomimetics
- Year: 2024
- Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

📄Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
- Journal: Biomimetics
- Year: 2024
- Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

Anastasios Liapakis | Computer Science | Best Researcher Award

Published on 27/08/202427/08/2024 by Book of Award

Assist Prof Dr. Anastasios Liapakis | Computer Science | Best Researcher Award

University of West Attica | Greece

Author Profile

Orcid

Google Scholar

Early Academic Pursuits 📚

Dr. Anastasios Liapakis embarked on his academic journey with a strong foundation in Agricultural Engineering at the Agricultural University of Athens, where he completed his B(Eng) with a commendable grade of 7.27/10. Driven by a passion for data and analytics, he pursued a Master of Business Administration (MBA) specializing in Data Analytics at the same institution. His dedication and academic excellence earned him a top grade of 8.59/10. Dr. Liapakis continued his pursuit of knowledge by obtaining a PhD in Informatics, focusing on Big Data Analytics in Agricultural Digital Markets. His research in this area, completed with an "Excellent" grade, laid the groundwork for his future contributions to the field.

Professional Endeavors 🚀

Dr. Liapakis has held several key academic positions that have shaped his career. He is currently an Adjunct Assistant Professor at the University of West Attica, where he teaches modules on E-governance and Databases. His experience spans various institutions, including the University of Peloponnese, where he taught Programming II, and the National & Kapodistrian University of Athens, where he delivered courses on Object-Oriented Programming, Software Systems Design, and e-Government Systems. As the Academic Head of the Informatics Department at New York College, Athens, he managed programs in Computing, Software Engineering, and Data Analytics, showcasing his leadership and expertise in the field.

Contributions and Research Focus 🔬

Dr. Liapakis' research interests lie at the intersection of Artificial Intelligence (AI), Big Data Analytics, and Cultural Heritage Information Management. He has made significant contributions to the understanding and application of AI in various domains, particularly in opinion mining and big data analytics. His work has been instrumental in developing innovative solutions for the agricultural sector, including automated monitoring and control systems against pests in the Mediterranean region. His research projects, funded by the EU, have had a profound impact on the industry, highlighting his ability to bridge the gap between academia and real-world applications.

Accolades and Recognition 🏆

Throughout his career, Dr. Liapakis has been recognized for his outstanding academic performance and research contributions. He received multiple scholarships and financial awards, including one from the Agricultural University of Athens for his exceptional performance in the MBA program and another from the Greek State Scholarships Foundation during his undergraduate studies. His research has also garnered accolades, including a Best Paper Award at the International Journal of Computational Linguistics in 2020, solidifying his reputation as a leading researcher in his field.

Impact and Influence 🌍

Dr. Liapakis' work has had a significant impact on the academic community and beyond. His research in big data analytics and AI has influenced how these technologies are applied in various sectors, particularly in agriculture and food industries. His contributions to sentiment analysis, particularly in the context of the Greek language, have provided valuable insights for both academia and industry. Additionally, his involvement in PhD supervision and as a reviewer for various research journals demonstrates his commitment to shaping the future of research in his field.

Legacy and Future Contributions 🌟

As Dr. Liapakis continues to advance his research in AI and big data, his legacy is one of innovation and dedication to the application of cutting-edge technologies in solving real-world problems. His ongoing work in cultural heritage information management and his leadership in academic programs ensure that his contributions will continue to influence future generations of researchers and practitioners. Dr. Liapakis' vision for integrating AI into various sectors, coupled with his extensive experience and accolades, positions him as a thought leader poised to make lasting contributions to both academia and industry.

Publications

📝A Sentiment Analysis Approach for Exploring Customer Reviews of Online Food Delivery Services: A Greek Case
Authors: Fragkos, N.; Liapakis, A.; Ntaliani, M.; Ntalianis, F.; Costopoulou, C.
Journal: Preprints 2024, 2024041203
Year: 2024

📝Ethical Use of Artificial Intelligence and New Technologies in Education 5.0
Authors: Liapakis, A., Smyrnaiou, Z., & Bougia, A.
Journal: International Journal of Artificial Intelligence, Machine Learning and Data Science
Year: 2023

📝Big Data, Sentiment Analysis, and Examples during the COVID-19 Pandemic
Authors: Diareme, K. C., Liapakis, A., & Efthymiou, I.
Journal: HAPSc Policy Briefs Series
Year: 2022

📝An Aspect-Based Sentiment Analysis System to Analyze Customers’ Reviews from Food and Beverage Opinion and Review Webpages: The Greek Case
Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Costopoulou, C., Diareme, K.C.
Journal: Information (Accepted for publication)
Year: 2021

📝A Corpus-Driven, Aspect-Based Sentiment Analysis to Evaluate in Almost Real-Time, a Large Volume of Online Food & Beverage Reviews
Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Maliappis, M.
Journal: International Journal of Computational Linguistics (IJCL)
Year: 2020

Mona Ebadi Jalal | Computer Science | Best Researcher Award

Published on 26/08/202426/08/2024 by Book of Award

Ms. Mona Ebadi Jalal | Computer Science | Best Researcher Award

University of Louisville | United States

Author Profile

Orcid

Google Scholar

Early Academic Pursuits 🎓

Ms. Mona Ebadi Jalal's academic journey is marked by excellence and dedication. She is currently pursuing a PhD in Computer Science at the University of Louisville, where she maintains a perfect GPA of 4.00. Her research focuses on the cutting-edge fields of Machine Learning and Deep Learning, under the guidance of Professor Adel Elmaghraby. Prior to this, she earned a Master’s Degree in Information Technology Engineering from K. N. Toosi University of Technology (KNTU) in Tehran, Iran, where she graduated with an impressive GPA of 17.75/20. Her master’s thesis involved developing a novel deep learning model using recurrent neural networks to forecast incoming call volumes in call centers, a project that earned a perfect grade of 20/20. She also holds a Bachelor’s Degree in Computer Engineering - Software from Payame Noor University in Hamedan, Iran, where she developed a patient information management system for a hospital as part of her thesis.

Professional Endeavors 💼

Ms. Ebadi Jalal’s professional career is equally distinguished. She is currently a PhD Fellow and Research Assistant at the University of Louisville, where she conducts in-depth research in customer behavior analysis, medical image analysis, and diagnostics prediction, utilizing advanced Machine Learning and Deep Learning methods. Before pursuing her PhD, she worked as an IT Consultant specializing in SAP ABAP and Business Data Analysis at Naghshe Aval Keyfiat (NAK) and Faraz Andishan Hesab Companies in Tehran, Iran. During this period, she designed and implemented custom solutions within the SAP framework, conducted thorough analyses of business processes, and managed end-to-end project lifecycles. She has also served as a Software Developer, developing and maintaining web applications and managing relational databases.

Contributions and Research Focus 🔬

Ms. Ebadi Jalal’s contributions to the field of computer science are significant and diverse. Her research primarily focuses on the application of Machine Learning and Deep Learning to customer behavior analysis and medical diagnostics. She has developed predictive models for call center operations and contributed to the advancement of personalized marketing through counterfactual analysis. Her recent work includes a deep learning framework for abnormality detection in nailfold capillary images, which has the potential to revolutionize diagnostics in medical imaging.

Accolades and Recognition 🏅

Ms. Ebadi Jalal’s academic and professional achievements have been recognized with numerous awards and honors. She was awarded a prestigious fellowship for her PhD studies at the University of Louisville in 2022. During her time at K. N. Toosi University of Technology, she was nominated for the Superior Student Researcher honor in 2014. Additionally, she ranked in the top 1% in Iran’s nationwide graduate-level entrance exam in Information Technology Engineering in 2012 and received a national graduate-level full scholarship.

Impact and Influence 🌍

Ms. Ebadi Jalal’s work has had a profound impact on both academia and industry. Her research has led to new insights in customer behavior analysis and medical image diagnostics, influencing the development of more effective marketing strategies and diagnostic tools. As a peer reviewer for several prestigious journals, including IEEE Access and Scientific Reports, she contributes to the advancement of knowledge in her field by ensuring the quality and rigor of published research.

Legacy and Future Contributions 🌟

Ms. Ebadi Jalal is poised to leave a lasting legacy in the field of computer science. Her ongoing research in machine learning and deep learning holds the potential to drive significant advancements in both customer behavior analysis and medical diagnostics. With her strong academic background, extensive professional experience, and numerous accolades, she is well-positioned to continue making groundbreaking contributions to the field in the years to come. Her future work will likely influence the next generation of researchers and practitioners, further solidifying her impact on the world of technology.

Publications

Artificial Intelligence Algorithms in Nailfold Capillaroscopy Image Analysis: A Systematic Review

Journal: MedRxiv
Year: 2024
Authors: Emam, Omar S.; Jalal, Mona Ebadi; Garcia-Zapirain, Begonya; Elmaghraby, Adel S.

Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis

Journal: Journal of Theoretical and Applied Electronic Commerce Research
Year: June 2024
Authors: Mona Ebadi Jalal; Adel Elmaghraby

Forecasting Incoming Call Volumes in Call Centers with Recurrent Neural Networks

Journal: Journal of Business Research
Year: November 2016
Authors: Mona Ebadi Jalal; Monireh Hosseini; Stefan Karlsson

Analysis of Customer Behavior in Purchasing and Sending Online Group SMS Using Data Mining Based on the RFM Model

Journal: Sharif Journal of Industrial Engineering & Management
Year: February 20, 2016
Authors: Mona Ebadi Jalal; Somayeh Alizadeh

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Published on 20/08/202420/08/2024 by Book of Award

Dr. Esi Elliot | Business, Management and Accounting | Best Researcher Award

University of Texas at Rio Grande Valley | United States

Author Profile

Scopus

Early Academic Pursuits 📚

Dr. Esi Elliot began her academic journey with a Bachelor of Science in Banking and Finance from the University of Ghana, followed by an MBA in International Business from Schiller International University, United Kingdom. She pursued further studies with a Ph.D. in Business Administration (Marketing) from the University of Illinois at Chicago, laying a strong foundation for her future career in academia and business.

Professional Endeavors 💼

Dr. Elliot's professional career is marked by her roles as an Assistant Professor of Practice in International Business and Entrepreneurship at the University of Texas at Rio Grande Valley. She has also served as an Assistant Professor of Marketing at Midwestern State University, Suffolk University, and a Visiting Assistant Professor at George Washington University. Her professional journey includes significant contributions in teaching international business, marketing, and entrepreneurship at various esteemed institutions.

Contributions and Research Focus 🔍

Dr. Elliot's research focuses on international business, globalization, and entrepreneurship. Her work includes studies on value co-creation, digital financial services in emerging markets, and strategic financial management. Notable publications include articles in the Journal of Business Research and Sustainability, contributing valuable insights into customer experience, environmental sustainability, and digital financial inclusion.

Accolades and Recognition 🏆

Dr. Elliot has received several prestigious awards for her contributions to academia and industry. Highlights include the Global Black Women in Banking and Finance Annual Honors Award and recognition for innovative excellence in marketing education from the American Marketing Association. She has also been acknowledged for her academic excellence and contributions to teaching and research through various awards and honors.

Impact and Influence 🌍

Dr. Elliot's impact extends beyond academia into the realms of business and innovation. Her role as CEO of Anansewaa Global Market Foundation and her pro-bono consulting for the African Continental Free Trade Area demonstrate her commitment to youth development and entrepreneurial support. Her innovative approaches in marketing and product development have significantly influenced the banking industry in Ghana.

Legacy and Future Contributions 🌟

Dr. Elliot's legacy is defined by her dedication to education, research, and professional excellence. Her future contributions are likely to continue shaping the fields of international business and entrepreneurship through innovative research and impactful teaching. Her ongoing efforts to support entrepreneurial development and global business strategies will undoubtedly leave a lasting impact on the academic and professional communities.

Publications 📚

📝 Environmental sustainability and customer experience in emerging markets
Authors: Tsetse, E.K.K., Adams, R., Elliot, E.A., Downey, C.
Journal: Business Strategy and the Environment
Year: 2024

📝 From racialized brands to authentic brands: Dynamic conceptual blending
Authors: Elliot, E.A., Cavazos, C., Chow, A.M.
Journal: Journal of Global Scholars of Marketing Science
Year: 2024

📝 Customer Value Co-Creation: Environmental Sustainability as a Tourist Experience
Authors: Elliot, E.A., Adams, R., Tsetse, E.K.K.
Journal: Sustainability (Switzerland)
Year: 2023

📝 Ethnic chambers of commerce and co-creation of value: a synthesis of cultural and networking competencies
Authors: Elliot, E., Smith, R.S., Bicen, P.
Journal: Journal of Research in Marketing and Entrepreneurship
Year: 2023

📝 Digital Financial Services and Strategic Financial Management: Financial Services Firms and Microenterprises in African Markets
Authors: Elliot, E.A., Cavazos, C., Ngugi, B.
Journal: Sustainability (Switzerland)
Year: 2022

📝 Mobile Financial Services at the Base of the Pyramid: A Systematic Literature Review: An Abstract
Authors: Dadzie, C.A., Kwaramba, M., Elliot, E.
Journal: Developments in Marketing Science: Proceedings of the Academy of Marketing Science
Year: 2022

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Published on 20/08/202420/08/2024 by Book of Award

Assist Prof Dr. Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

SRM Institute of Technology | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Dr. Vidhushavarshini Sureshkumar's academic journey is a testament to her dedication to excellence. She earned her Ph.D. in Information and Communication Engineering from Sona College of Technology under Anna University in 2022. Prior to this, she completed her M.E. in Computer Science and Engineering from Vinayaka Missions Kirubanandha Variyar Engineering College, achieving first-class honors. Her academic accomplishments extend to various domains, including an MBA in Human Resource Management and an M.Sc. in Psychology from IGNOU and Madras University, respectively, showcasing her interdisciplinary approach to education.

Professional Endeavors 💼

Dr. Vidhushavarshini's professional career spans several esteemed institutions. Currently, she serves as an Assistant Professor (Senior Grade) at SRM Institute of Technology. She has previously held positions at Sona College of Technology and Gnanamani College of Technology, where she contributed as both a faculty member and a research scholar. Her roles have not been limited to academia; she has also been a subject matter expert and content developer for SkillUp Technologies. Her career is marked by a strong commitment to student development, as evidenced by her work in placement training, curriculum design, and as a class counselor.

Contributions and Research Focus 🔬

Dr. Vidhushavarshini's research interests lie in Bioinformatics, Machine Learning, Deep Learning, and Data Science, among others. She has published extensively in high-impact journals, with significant contributions to the fields of thyroid disease classification, breast cancer diagnosis, and cardiovascular disease prediction using advanced computational techniques. Her work integrates cutting-edge technologies like IoT, deep learning, and XGBoost, addressing critical issues in healthcare and computer science.

Accolades and Recognition 🏅

Throughout her career, Dr. Vidhushavarshini has received numerous accolades for her academic and professional contributions. She has been recognized for securing the top rank in technical English assessments and has played a pivotal role as a resource person in faculty development programs. Her achievements in securing placements for students in multinational corporations highlight her influence as an educator and mentor.

Impact and Influence 🌍

Dr. Vidhushavarshini's impact extends beyond the classroom. Her leadership in organizing workshops on artificial intelligence, deep learning, and ethical hacking has empowered countless students and professionals. She has also contributed to national and international conferences, sharing her expertise and fostering collaborations that push the boundaries of technology and education.

Legacy and Future Contributions 🌟

Dr. Vidhushavarshini's legacy is defined by her unwavering commitment to education and research. As she continues to advance in her career, her future contributions promise to be just as impactful. With a strong foundation in interdisciplinary studies and a passion for innovation, she is poised to make significant strides in the fields of computer science and engineering, leaving an indelible mark on the academic and professional communities.

Publications 📚

📝Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Author : Jaganathan, D., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024

📝An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction
Author : Revathi, T.K., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024

📝A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods
Author : Sureshkumar, V., Jaganathan, D., Ravi, V., Velleangiri, V., Ravi, P.
Journal & Year : Open Bioinformatics Journal, 2024

📝Smart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-Time Patient Diagnosis
Author : Paulraj, K., Soms, N., David Samuel Azariya, S., Jeba Emilyn, J., Sureshkumar, V.
Journal & Year : OCIT 2023 - 21st International Conference on Information Technology, Proceedings, 2023

📝Optimization of Process Parameters on Wire Cut Electrical Discharge Machining and Surface Integrity Studies of AA6070/MgO Composites
Author : Vinoth, S., Rajasekar, C., Sathish, P., Hasane Ahammad, S., Girimurugan, R.
Journal & Year : Journal of Physics: Conference Series, 2023

Heng Luo | Computer Science | Best Researcher Award

Published on 09/08/202409/08/2024 by Book of Award

Mr. Heng Luo | Computer Science | Best Researcher Award

The Hong Kong Polytechnic University | Hong Kong

Author Profile

Orcid

Early Academic Pursuits 🎓

Mr. Heng Luo's academic journey is a testament to his commitment to excellence in engineering and technology. He began his higher education at the University of Electronic Science and Technology of China, earning a Bachelor's Degree in Electronic Engineering in 2012. This foundational education was followed by a Master’s Degree in the same field from the same institution in 2013. Heng Luo further expanded his academic horizons by pursuing two more Master’s degrees, one in Industrial and Systems Engineering from The Hong Kong Polytechnic University, and another in the Warwick Manufacturing Group at The University of Warwick, both completed in 2016. Currently, he is a PhD candidate at The Hong Kong Polytechnic University, where he continues to advance his research in The Institute of Textiles and Clothing.

Professional Endeavors 💼

In addition to his academic pursuits, Mr. Heng Luo has been actively involved in professional organizations. Since 2021, he has been a member of the Institution of Engineering and Technology and IEEE. His affiliation with IEEE also includes participation in the Young Professionals group, reflecting his dedication to staying at the forefront of technological advancements and contributing to the global engineering community.

Contributions and Research Focus 📚

Mr. Heng Luo's research and professional work have led to significant contributions in various fields. His expertise spans wearable systems, polymer degradation, hydrogel technology, and control systems. Notable among his works are publications like the "Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities" and "Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water." His research also includes innovative patents, such as those related to MIMO-OTH radar waveforms and machine learning-based article identification methods.

Accolades and Recognition 🏆

Throughout his career, Mr. Heng Luo has garnered recognition for his work, particularly in the realms of materials science and engineering. His contributions have been published in high-impact journals, and his patents demonstrate a strong application-oriented approach to research. He has also served as a peer reviewer for journals like Fibers and Polymers, showcasing his expertise and respected standing in the academic community.

Impact and Influence 🌍

Mr. Heng Luo's work has had a broad impact, particularly in the development of advanced materials and systems for practical applications. His research on wearable systems and polymer degradation has implications for both the healthcare industry and environmental sustainability. By integrating his engineering expertise with cutting-edge research, he has influenced the direction of technological development in these areas.

Legacy and Future Contributions 🌟

As Mr. Heng Luo continues his PhD research and professional activities, his future contributions are anticipated to further advance the fields of engineering and technology. His ongoing work promises to leave a lasting legacy, particularly in the areas of wearable technology and sustainable materials. As an emerging leader in his field, Mr. Heng Luo's future endeavors will likely continue to shape the landscape of modern engineering and contribute to global technological progress.

Publications 📚

📖 Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Authors: Heng Luo, Ying Xiong, Mingyue Zhu, Xijun Wei, Xiaoming Tao
Journal: Sensors
Year: 2024

📖 Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Authors: Qi Bao, Ziheng Zhang, Heng Luo, Xiaoming Tao
Journal: Polymers
Year: 2022

📖 Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Authors: Heng Luo
Journal: Advanced Materials
Year: 2022

📖 Article Identification Method and Device Based on Machine Learning

Authors: Heng Luo
Journal: Patent
Year: 2020

📖 Observer-Based Control of Discrete-Time Fuzzy Positive Systems with Time Delays

Authors: Heng Luo
Journal: IFAC Proceedings Volumes
Year: 2013

Soopil Kim | Computer Science | Best Researcher Award

Published on 02/08/202402/08/2024 by Book of Award

Dr. Soopil Kim | Computer Science | Best Researcher Award

Daegu Gyeongbuk Institute of Science and Technology | South Korea

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Soopil Kim's academic journey began with a Bachelor of Engineering in Robotics and Mechatronics Engineering from Daegu Gyeongbuk Institute of Science & Technology (DGIST), where he graduated Cum Laude. He continued his studies at DGIST, pursuing a Master’s and Ph.D. in the same field, focusing on medical image segmentation. His research during these years emphasized label-efficient segmentation models and limited pixel-level annotation, laying a strong foundation for his future work in deep learning and computer vision.

Professional Endeavors 💼

Dr. Kim's career has seen significant milestones, including a role as a Visiting Student at Stanford University's CNSLAB under the supervision of Prof. Kilian M. Pohl and Ehsan Adeli. Currently, he is a Post-Doctoral Research Fellow at the Medical Image & Signal Processing Lab (MISPL) at DGIST, where he works under Prof. Sang Hyun Park. His professional trajectory reflects a commitment to advancing the field of computer vision through innovative research and collaboration.

Contributions and Research Focus 🔬

Dr. Kim’s research is at the forefront of deep learning and computer vision. His work addresses the challenges of image segmentation with partially labeled datasets by developing federated learning strategies and few-shot segmentation techniques. His notable contributions include the creation of a medical image segmentation model that integrates meta-learning and bi-directional recurrent neural networks, a semi-supervised segmentation model based on uncertainty estimation, and a transductive segmentation model for industrial imaging. These advancements aim to improve the efficiency and accuracy of image segmentation processes.

Accolades and Recognition 🏆

Dr. Kim has received several awards that highlight his exceptional contributions to the field. Notably, he was ranked 3rd among 40 teams in the SNUH Sleep AI Challenge in 2021 and was honored with the Outstanding Student Award from the Department of Robotics and Mechatronics Engineering at DGIST in 2022. In 2024, he was recognized at the KCCV Oral/Poster Presentation Doctoral Colloquium for his work on label-efficient segmentation models.

Impact and Influence 🌍

Dr. Kim's research has made a significant impact on the field of computer vision, particularly in the area of image segmentation. His innovative approaches to handling partially labeled datasets and federated learning have the potential to advance both academic research and practical applications in medical imaging and beyond. His work on few-shot learning and uncertainty-aware models addresses critical challenges in the field, contributing to more robust and adaptable segmentation solutions.

Legacy and Future Contributions 🚀

As Dr. Kim continues his research, his focus on improving segmentation models and developing new methodologies promises to shape the future of computer vision. His commitment to exploring federated learning and few-shot learning techniques will likely drive further innovations in the field, offering solutions to complex challenges and enhancing the accuracy of image analysis across various applications.

Publications 📘

📄Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features
Authors: Sion An, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Jaehong Kim, Sang Hyun Park
Journal: Expert Systems with Applications
Year: 2024

📄Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
Authors: Soopil Kim, Haejun Park, Myeongju Kang, Kilian M. Pohl, Sang Hyun Park
Journal: Medical Image Analysis
Year: 2024

📄FedNN: Federated learning on concept drift data using weight and adaptive group normalizations
Authors: Myeongju Kang, Soopil Kim, Kwang-Hyun Jin, Kilian M. Pohl, Sang Hyun Park
Journal: Pattern Recognition
Year: 2024

📄Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Authors: Soopil Kim, Sion An, Philip Chikontwe, Kilian M. Pohl, Sang Hyun Park
Conference: Proceedings of the AAAI Conference on Artificial Intelligence
Year: 2024

📄Uncertainty-aware semi-supervised few shot segmentation
Authors: Soopil Kim, Philip Chikontwe, Sion An, Sang Hyun Park
Journal: Pattern Recognition
Year: 2023

Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Published on 23/07/202427/07/2024 by Book of Award

Dr. Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Indian Institute of Tropical Meteorology | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Bipin Kumar's academic journey began with a Bachelor of Science in Physical Sciences from the University of Allahabad in 1995, followed by a Master of Science in Mathematics from IIT Kanpur in 1998. He then pursued an MS in Research (Mathematics) at the National University of Singapore in 2006, focusing on computational methods for phase-field models. His quest for deeper expertise led him to earn a Ph.D. in Computing from Dublin City University in 2009, with a thesis on high-performance computing for multiphase fluid flows.

Professional Endeavors

Dr. Kumar’s career spans over two decades, encompassing roles in academia, research institutions, and industry. His notable positions include:

Scientist and Research Guide at IITM, Pune, India.
Associate Professor at Savitribai Phule Pune University.
Visiting Scientist at NCAR, Boulder, USA, and Visiting Faculty at McGill University, Canada.
Associate Faculty at the International Center for Theoretical Sciences, Bengaluru, India.
Scientist at Max-Planck-Institute for Meteorology, Germany.

He has held various teaching and research positions, contributing to advancements in high-performance computing, data science, and atmospheric physics.

Contributions and Research Focus

Dr. Kumar's research is centered around:

Data Science and AI/ML: Developing parallel Python routines and deep learning algorithms for weather forecasting, data downscaling, fire forecasting, and more.
Atmospheric Physics: Studying cloud droplet and aerosol dynamics using DNS.
High-Performance Computing (HPC): Enhancing parallel code for CFD problems, 3D visualization, and parallel I/O optimization.
Numerical Linear Algebra: Creating parallel algorithms for solving large linear systems of equations.

Accolades and Recognition

Dr. Kumar has received several prestigious awards:

DCU Teaching Excellence Nominee Award (2008)
Microsoft Postgraduate Research Scholarship (Ireland, 2007-08)
DCU Dean’s Connect Scholarship (Ireland, 2006-09)
NUS Research Scholarship (Singapore, 2004-06)
CSIR Senior Research Fellowship (India, 2004)

Impact and Influence

Dr. Kumar’s work has significantly influenced fields such as HPC, data science, and atmospheric physics. His contributions to developing computational methods for complex fluid flows and forecasting systems have advanced our understanding of cloud dynamics and weather patterns. His research has impacted both theoretical and practical aspects of meteorology and data analysis.

Legacy and Future Contributions

Dr. Kumar aims to broaden his impact through continued research and teaching. By leveraging his expertise in HPC, data science, and cloud microphysics, he aspires to address critical challenges in earth science and contribute to the development of innovative solutions for climate and environmental issues.

Publications

Deep learning-based bias correction of ISMR simulated by GCM
Authors: Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha
Journal: Atmospheric Research
Year: 2024

Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions
Authors: Gaikwad, S., Kumar, B., Yadav, P.P., Rao, S.A., Ghude, S.D.
Journal: Modeling Earth Systems and Environment
Year: 2024

Machine learning based quantification of VOC contribution in surface ozone prediction
Authors: Kalbande, R., Kumar, B., Maji, S., Rathore, D.S., Beig, G.
Journal: Chemosphere
Year: 2023

On the modern deep learning approaches for precipitation downscaling
Authors: Kumar, B., Atey, K., Singh, B.B., Nanjundiah, R.S., Rao, S.A.
Journal: Earth Science Informatics
Year: 2023

A modified deep learning weather prediction using cubed sphere for global precipitation
Authors: Singh, M., Acharya, N., Patel, P., Nanjundiah, R.S., Niyogi, D.
Journal: Frontiers in Climate
Year: 2023

Sasank V.V.S | Computer Science | Best Researcher Award

Published on 22/07/202422/07/2024 by Book of Award

Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Sasank V.V.S. exhibited a strong academic foundation from the outset. He completed his secondary education at Jassver English Medium School in 2007 with a First Class distinction, scoring 72.66%. He continued to excel in his Intermediate studies at Mega Junior College, graduating in 2009 with an 84.1% mark, also achieving First Class. His academic journey progressed to higher education at Gitam Institute of Technology, GITAM University, where he obtained his B.Tech in Information Technology in 2013 with a CGPA of 8.15, earning a Distinction. He further advanced his education with an M.Tech in Computer Science and Technology from the same institution, graduating in 2016 with a remarkable 9.11 CGPA, securing the top rank in his department. Dr. Sasank completed his Ph.D. at K.L. University in 2023, marking a significant milestone in his academic career.

Professional Endeavors

Dr. Sasank has a rich professional background in both academia and industry. He began his teaching career as a Teaching Assistant in the CSE Department at Gitam University from October 2015 to April 2016. He then served as an Assistant Professor at the Lendi Institute of Engineering & Technology, VIZIANAGARAM, from June 2016 to April 2017. Following this, he joined Anil Neerukonda Institute of Technology & Sciences (ANITS) as an Assistant Professor and Placement Officer from June 2017 to April 2019. He has been affiliated with K L University since July 2019, initially in the CSE Department and later in the CSIT Department, where he also served as the ERP Registration In-charge. His teaching repertoire includes subjects such as DBMS, Software Engineering, Computer Architecture & Organization, Term Paper, UI/UX Design, and DevOps.

Contributions and Research Focus

Dr. Sasank's research primarily focuses on advanced topics in computer science and engineering. His areas of interest include brain tumor classification, real-time traffic management using IoT and machine learning techniques, and the evolution of modern women in literature. He has published a significant number of papers in reputed journals, including SCI papers and several Scopus-indexed articles. His notable publications include works on hybrid deep neural networks, automatic tumor growth prediction, and brain tumor classification using modified kernel-based softplus extreme learning machines. Additionally, he has guided numerous B.Tech and M.Tech project batches, contributing to the academic growth of his students.

Accolades and Recognition

Dr. Sasank has received several accolades for his academic and research achievements. He was the top ranker in his M.Tech program at Gitam University in 2016. He has published 18 papers, including SCI, Scopus, and WOS-indexed journals, and has contributed to two book chapters. His innovative research has led to the publication of two patents: one on real-time traffic management using IoT and machine learning techniques, and another on the evolution of modern women in Manju Kapur’s novels. Additionally, he has earned global certifications, including Google Associate Cloud Engineer and AWS Cloud Practitioner, and has presented his research at various international conferences.

Impact and Influence

Dr. Sasank's contributions to the field of computer science and engineering have had a significant impact on both academic and practical applications. His research on brain tumor classification and real-time traffic management has potential real-world implications, advancing the fields of medical imaging and smart city technologies. As an educator, he has influenced many students through his teaching and mentorship, guiding them in their academic and research endeavors.

Legacy and Future Contributions

Dr. Sasank's ongoing research and academic activities are expected to leave a lasting legacy in the field of computer science and engineering. His contributions to brain tumor classification and IoT-based traffic management are poised to influence future research and development in these areas. As he continues to publish and present his work, Dr. Sasank is likely to inspire and mentor the next generation of engineers and researchers, ensuring continued innovation and excellence in his field.

Notable Publications

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images 2023

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images 2022 (14)

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour 2022 (27)

Hate Speech & Offensive Language Detection Using ML &NLP 2022 (4)

Julian Ijumulana | Environmental Science | Best Researcher Award

Published on 22/07/202422/07/2024 by Book of Award

Dr. Julian Ijumulana | Environmental Science | Best Researcher Award

University of Dar es Salaam | Tanzania

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Julian Ijumulana's academic journey began with a strong foundation in secondary education at Rubya Seminary, Kagera, Tanzania, where he earned his Certificate of Secondary Education and Advanced Certificate of Secondary Education. He pursued Physics, Biology, Chemistry, Mathematics, Geography, English, Kiswahili, Civics, and History. He continued to develop his scientific knowledge and analytical skills, focusing on Physics, Geography, and Advanced Mathematics at the advanced level. He then obtained a BSc in Geomatics from the University of Dar es Salaam, at the then University College of Lands and Architectural Studies (UCLAS), Tanzania. His undergraduate studies encompassed a wide range of subjects including Engineering Surveys, Geodesy, Cartography, Photogrammetry, Remote Sensing, Global Navigation Satellite Systems (GNSS), and Basics in Geographic Information Systems (GIS).

Professional Endeavors

Dr. Ijumulana started his professional career as a Tutorial Assistant at the University of Dar es Salaam from 2006 to 2010. During this time, he was involved in teaching undergraduate students across various engineering and technological disciplines. From 2010 to 2022, he served as an Assistant Lecturer, further enhancing his teaching repertoire and engaging more deeply in research activities. In 2022, Dr. Ijumulana was appointed as a Lecturer at the University of Dar es Salaam. His responsibilities include teaching undergraduate courses in Civil Engineering, Geomatics, Architecture, Quantity Surveying, Mining Engineering, Engineering Geology, and Agricultural Engineering. He also conducts research on land and water resources, focusing on issues such as natural contaminants in drinking water using advanced geospatial methods and technologies.

Contributions and Research Focus

Dr. Ijumulana's research primarily addresses land and water resource challenges. He has contributed significant insights into well-known problems, particularly natural contaminants in drinking water sources. His approach utilizes advanced geospatial methods and technologies, including spatial statistics, geostatistics, GIS, and machine learning methods. His work is part of the DAFWAT project funded by the Swedish International Development Cooperation Agency (Sida), through which he conducted research on characterizing and modeling geogenic contaminants in groundwater in Tanzania. Additionally, Dr. Ijumulana provides consultancy services for land and water-related issues using multidisciplinary approaches. He also offers professional development programs (PDP) to public and private sector employees and NGO staff in GIS, remote sensing, photogrammetry, spatial analysis, and spatial modeling for decision-making purposes.

Accolades and Recognition

Throughout his academic and professional career, Dr. Ijumulana has been recognized for his contributions to the field of geospatial sciences and water resource management. His educational journey has been marked by prestigious scholarships and research grants, including those from Sida. His research has been acknowledged for its practical implications in addressing environmental challenges and improving resource management strategies.

Impact and Influence

Dr. Ijumulana has made a considerable impact through his research on groundwater contamination and land resource management. His work has provided new perspectives and solutions to environmental problems in Tanzania and beyond. By leveraging advanced geospatial technologies, he has contributed to the development of more accurate and effective models for understanding and mitigating natural contaminants in water resources. His teaching and consultancy efforts have also influenced many students and professionals in the field, equipping them with the knowledge and skills needed to tackle complex environmental challenges. His interdisciplinary approach has fostered collaboration and innovation in both academic and practical settings.

Legacy and Future Contributions

Dr. Ijumulana's legacy is characterized by his dedication to improving land and water resource management through education, research, and practical solutions. His work continues to inspire and inform future generations of engineers, researchers, and environmentalists. Looking ahead, Dr. Ijumulana is expected to further advance his research and teaching, integrating new technologies and methodologies to address emerging environmental issues. His ongoing commitment to professional development and consultancy ensures that his contributions will have a lasting impact on both the academic community and society at large.

Notable Publications

Arsenic and other geogenic contaminants in global groundwater 2024 (11)