Sema Servi | Computer Science | Best Research Article Award

Published on 09/04/202609/04/2026 by TOT Awards

Assist. Prof. Dr. Sema Servi | Computer Science | Best Research Article Award

Selçuk University | Turkey

Asst. Prof. Dr. Sema Servi is a researcher in computer engineering with a strong foundation in applied mathematics, specializing in machine learning, artificial intelligence, and numerical methods for complex problem solving. Her work focuses on data-driven approaches, including clustering algorithms, optimization techniques, and computer vision applications in healthcare and engineering. She has contributed to interdisciplinary research spanning digital competence analysis, bioinformatics, and intelligent systems. Asst. Prof. Dr. Sema Servi actively supervises postgraduate research and advises innovative, technology-driven projects supported by national programs. She has a solid research impact with 62 Scopus citations, 15 indexed documents, and an h-index of 5.

Citation Metrics (Scopus)

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15

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Featured Publications

Reduced differential transform method for solving Klein Gordon equations
– Proceedings of the World Congress on engineering, 2011

The approximate solution of high-order linear fractional differential equations with variable coefficients in terms of generalized Taylor polynomials
– Mathematical and Computational Applications, 2011

A Lévy flight based chaotic black winged kite algorithm for solving optimization problems
– Scientific Reports, 2025

A hypothetical method for calculation of the access point, direction angle and access angle for percutaneous nephrolithotomy
– Medical hypotheses, 2019

Reduced differential transform method for improved Boussinesq equation
– AIP Conference Proceedings, 2015

Xulei Cao | Computer Science | Research Excellence Award

Published on 22/12/202522/12/2025 by TOT Awards

Mr. Xulei Cao | Computer Science | Research Excellence Award

University of Science and Technology of China | China

Mr. Xulei Cao research centers on advancing intelligent communication systems, large-scale machine learning, and adaptive networked environments, with a primary emphasis on vehicular ad hoc networks (VANETs), device–edge–cloud collaboration, and large language models. His work explores street-centric and microtopology-based routing strategies to address the challenges of dynamic mobility, frequent topology changes, and complex urban communication environments, proposing opportunistic routing protocols that leverage link correlation to enhance reliability, reduce packet loss, and optimize end-to-end performance. He has contributed to routing solutions grounded in urban road structure awareness, improving scalability and robustness in dense vehicular networks and supporting next-generation intelligent transportation systems. In parallel, his research extends into intelligent computing frameworks that integrate device, edge, and cloud layers to enable efficient distributed learning, resource-aware decision-making, and latency-sensitive AI applications. He also investigates algorithmic innovation within large language models, emphasizing scalability, deployment efficiency, and real-world applicability. Additionally, his work on biometric recognition, including palmprint feature extraction and direction coding, demonstrates expertise in pattern recognition and vision-based authentication systems. Supported by growing scholarly recognition, his work has been cited 212 times overall, including 101 citations since 2020, with an h-index of 3 and an i10-index of 2, underscoring the increasing impact and relevance of his contributions to networking, artificial intelligence, and intelligent mobility research.

Citation Metrics (Google Scholar)

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212

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3

🟦 Citations 🟥 i10-index 🟩 h-index

View Google Scholar Profile

Featured Publications

A Street-Centric Opportunistic Routing Protocol Based on Link Correlation for Urban VANETs

– IEEE Transactions on Mobile Computing, 2015

A Street-Centric Routing Protocol Based on Microtopology in Vehicular Ad Hoc Networks

– IEEE Transactions on Vehicular Technology, 2015

Palmprint Recognition Using Bifurcation Line Direction Coding

– IEEE Access, 2025

An Industrial Framework for Cold-Start Recommendation in Few-Shot and Zero-Shot Scenarios

– Information, 2025

vasavi S | Computer Science | STEM Education Leadership

Published on 12/11/202412/11/2024 by TOT Awards

Prof. Dr. vasavi S | Computer Science | STEM Education Leadership

Professor & Head at Velagapudi Ramakrishna Siddhartha Engineering College, India

Dr. S. Vasavi, Professor and Head of the AI & DS Department, boasts a robust 27-year career in teaching and research. Her work spans extensive funded projects with organizations such as ISRO, DST, and IEEE, totaling approximately 1.3 crores INR. Dr. Vasavi collaborates with international universities and national R&D institutions on projects in remote sensing, predictive analytics, and big data, producing more than 100 publications in SCI, Scopus, and Google Scholar-indexed journals, along with several patents. Recognized with numerous awards, she is an influential figure in the field, committed to developing educational programs and advancing AI applications in STEM.

professional profiles

Scopus Profile

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ORCID

Education

Dr. Vasavi has a robust academic foundation with advanced degrees in Computer Science and Engineering. She pursued her undergraduate studies in Computer Science and later obtained her M.Tech, specializing in Artificial Intelligence and Data Science. Following her master’s, she completed a Ph.D., with research focusing on AI-driven solutions in remote sensing and data analytics. Her continuous professional development includes specialized training and certifications from global institutions, broadening her expertise in areas like geospatial analysis, drone technology, and cloud data analytics. Dr. Vasavi has also been a visiting scholar at prominent institutions such as Illinois State University and Saint Augustine’s University in the United States. Her education has played a critical role in forming her research approach, blending technical expertise with a passion for solving real-world problems. This educational background has laid the groundwork for her impactful research contributions to AI applications and interdisciplinary STEM fields.

work Experience

Dr. S. Vasavi brings a diverse and rich experience portfolio, with 26 years in academia and one year in industry. Currently, she is the Head of the AI & DS Department at VR Siddhartha Engineering College, where she has spearheaded multiple funded projects and collaborated with renowned institutions like ISRO and NRSC. Her international collaborative research with universities across the U.S., Singapore, Canada, and Mexico has led to impactful publications and solutions in geospatial analysis, disaster management, and healthcare analytics. As an active member of various IEEE groups, she has chaired sessions and delivered keynote lectures at significant conferences worldwide, enhancing her global research network. Dr. Vasavi’s blend of academic, research, and administrative roles positions her as a key driver in advancing AI and data science education, and she continues to inspire her students by guiding them through hands-on research and industry-driven projects.

Awards and honors

Dr. Vasavi’s achievements have been recognized through numerous awards. She has received the Best Teacher Award and Outstanding Women in Engineering Award for her contributions to STEM education and research. Her groundbreaking research has earned her accolades such as the Best Paper Award at the IEEE IEMCON conference at the University of British Columbia, Canada, and at ICACI 2020 in Mysore, India. She is also an honored Senior Member of IEEE and received travel grants for presenting her work in the U.S. and Thailand. Dr. Vasavi’s exceptional contributions in AI have earned her the title of Academic Titan Achievement Award and Vishitta Mahila Award, celebrating her role as a trailblazer in engineering and education. Furthermore, as an Honorary Rosalind Member of London Journals Press, Dr. Vasavi’s influence extends internationally, reinforcing her position as an esteemed researcher and advocate for women in STEM.

Research Focus

Dr. Vasavi’s research spans multiple domains within AI, with a core focus on remote sensing, predictive analytics, and big data. She collaborates extensively on AI-driven projects addressing societal issues, such as disaster management, environmental sustainability, and healthcare innovations. Her ongoing work includes developing algorithms for urban GIS change detection, multi-object detection using edge computing frameworks, and crowd surveillance through hybrid deep learning. Dr. Vasavi’s interdisciplinary research bridges the gap between academia and industry, partnering with institutions like ISRO and the National Remote Sensing Center (NRSC) to create impactful AI applications in space and geospatial analysis. Her involvement in drone-based video processing and climate change analysis emphasizes her dedication to using AI for real-world solutions. With her guidance, these projects not only enhance AI applications but also foster meaningful research opportunities for her students and collaborators, advancing STEM education in the process.

Skills

Dr. Vasavi’s skill set encompasses a wide range of technical and research abilities. She is proficient in Big Data Analytics and Predictive Analytics, leveraging tools like Hadoop, MongoDB, and Spark for large-scale data processing. Her expertise in Remote Sensing allows her to apply AI techniques to analyze high-resolution images and develop models for urban change detection. She is skilled in Deep Learning and Computer Vision for applications in surveillance and object detection, using frameworks like TensorFlow and OpenCV. Her knowledge extends to Cloud Computing and Edge Computing, with experience in real-time processing for satellite data. Dr. Vasavi’s project management and collaboration skills have enabled her to lead funded research projects and international partnerships successfully. Additionally, her communication and leadership skills are evident through her role as an educator, mentor, and active participant in conferences, solidifying her position as an influential leader in AI and STEM education.

Conclusion

Dr. S. Vasavi’s extensive experience, international collaborations, funded projects, and high-impact research position her as a strong candidate for the STEM Education Leadership Award. Her work demonstrates excellence in advancing STEM-related research and applications, particularly in AI and remote sensing. With a slight increase in educationally-focused initiatives, Dr. Vasavi’s profile would align even more closely with the award’s emphasis on leadership in STEM education, potentially making her an ideal recipient for this honor.

Publications to Noted

“Invariant feature-based darknet architecture for moving object classification”

Authors: S. Vasavi, N.K. Priyadarshini, K. Harshavaradhan

Citations: 59

Year: 2020

“Extracting hidden patterns within road accident data using machine learning techniques”

Authors: S. Vasavi

Citations: 31

Year: 2018

“Study on Techniques for Providing Enhanced Security During Online Exams”

Authors: N. Sai Soujanya, T., Dr. S. Vasavi, S. Anusha

Citations: 26

Year: 2012

“Predictive analytics as a service for vehicle health monitoring using edge computing and AK-NN algorithm”

Authors: S. Vasavi, K. Aswarth, T.S.D. Pavan, A.A. Gokhale

Citations: 24

Year: 2021

“Prediction of temperature anomaly in Indian Ocean based on autoregressive long short-term memory neural network”

Authors: M.S. Pravallika, S. Vasavi, S.P. Vighneshwar

Citations: 18

Year: 2022

“Framework for Predictive Analytics as a Service using ensemble model”

Authors: S.K. Babu, S. Vasavi, K. Nagarjuna

Citations: 18

Year: 2017

“Detection of solitary ocean internal waves from SAR images by using U-Net and KDV solver technique”

Authors: S. Vasavi, C. Divya, A.S. Sarma

Citations: 16

Year: 2021

“Hadoop framework for entity resolution within high velocity streams”

Authors: S.P. Benny, S. Vasavi, P. Anupriya

Citations: 16

Year: 2016

“A Survey on Extracting Hidden Patterns within Road Accident Data using Machine Learning Techniques”

Authors: S. Vasavi

Citations: 14

Year: 2016

“Age detection in a surveillance video using deep learning technique”

Authors: S. Vasavi, P. Vineela, S.V. Raman

Citations: 12

Year: 2021

Xulei Cao | Computer Science | Research Excellence Award

Mr. Xulei Cao | Computer Science | Research Excellence Award

University of Science and Technology of China | China

Featured Publications

vasavi S | Computer Science | STEM Education Leadership

Prof. Dr. vasavi S | Computer Science | STEM Education Leadership

professional profiles

Education

work Experience

Awards and honors

Research Focus

Skills

Conclusion

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