Fengyu Liu | Computer Science | Best Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Dr. Fengyu Liu | Computer Science | Best Researcher Award

PhD candidate at Southeast University, China

Fengyu Liu is a dedicated researcher specializing in deep learning, integrated navigation, intelligent unmanned systems, multi-sensor fusion, and SLAM (Simultaneous Localization and Mapping). He has authored 10 academic papers, including 5 SCI-indexed Q1 journal articles, and has contributed significantly to the fields of robotics and sensor technology. With 5 domestic invention patents and 1 PCT patent, his work demonstrates a strong focus on innovation. He has received numerous awards, including the National Scholarship and the Southeast University ‘Zhishan’ Scholarship, and has won four national and provincial-level first prizes in student competitions. He actively participates in academic conferences and serves as a reviewer for IEEE TIM, IEEE Sensor Journal, and MST journals. His research contributions and leadership in the academic community make him a promising figure in the field of intelligent navigation and robotics.

Professional Profile

Education

Fengyu Liu earned his B.S. degree in Electronic Science and Technology from the School of Instrument and Electronics, North University of China, in 2020. Currently, he is pursuing a Ph.D. in Instrument Science and Technology at the School of Instrument Science and Engineering, Southeast University, Nanjing, China. His doctoral research focuses on deep learning-driven navigation, SLAM, and multi-sensor fusion for intelligent unmanned systems. Throughout his academic journey, he has been recognized for his outstanding performance, receiving prestigious scholarships and awards for academic excellence and research contributions.

Professional Experience

During his undergraduate studies, Fengyu Liu served as the Chair of the Embedded Laboratory at the Innovation Elite Research Institute, where he led multiple student research projects. He has been actively involved in presenting at international conferences, including the 2023 International Conference on Robotics, Control, and Vision Engineering (Tokyo) and the China-Russia “Navigation and Motion Control” Youth Forum (2024, Nanjing). His research findings have been published in top-tier journals, and he has contributed as a reviewer for leading IEEE journals. His expertise in SLAM, sensor fusion, and AI-driven navigation technologies has led to patents and real-world applications, making him a key contributor to the advancement of autonomous systems and intelligent robotics.

Research Interests

Fengyu Liu’s research focuses on deep learning, integrated navigation, intelligent unmanned systems, multi-sensor fusion, and simultaneous localization and mapping (SLAM). His work explores advanced sensor fusion techniques, including the integration of LiDAR, cameras, inertial measurement units (IMUs), and deep learning models to enhance navigation accuracy and autonomy in complex environments. He is particularly interested in developing robust localization algorithms for dynamic and unstructured environments, with applications in robotics, autonomous vehicles, and aerospace navigation. His contributions to AI-driven SLAM and vision-based perception systems aim to improve real-time mapping, object recognition, and motion estimation for next-generation autonomous systems.

Awards and Honors

Fengyu Liu has received multiple prestigious awards, including the National Scholarship and the Southeast University ‘Zhishan’ Scholarship, recognizing his academic excellence. He has won four first prizes at national and provincial-level university student competitions, demonstrating his problem-solving skills and technical expertise. His research has also been recognized at academic conferences, earning him the Outstanding Paper Award at the 2022 Science and Technology Workers Seminar of the Chinese Society of Inertial Technology. His participation in international research forums, such as the China-Russia “Navigation and Motion Control” Youth Forum (2024, Nanjing), further highlights his growing impact in the field.

Research Skills

Fengyu Liu possesses a diverse skill set in deep learning, computer vision, and multi-sensor data fusion, particularly for robotics and autonomous navigation. He is proficient in developing AI-based SLAM algorithms, sensor calibration techniques, and real-time embedded system implementations. His expertise extends to software tools and programming languages, including Python, MATLAB, C++, TensorFlow, and PyTorch, which he utilizes for machine learning and signal processing applications. He has hands-on experience with robotic perception systems, LiDAR-based mapping, and inertial navigation technologies, contributing to multiple high-impact research projects. Additionally, his role as a peer reviewer for IEEE TIM, IEEE Sensor Journal, and MST journals reflects his strong analytical and critical evaluation skills in cutting-edge research.

Conclusion

Fengyu Liu is a highly promising young researcher with strong academic contributions, patents, and international recognition. His research in SLAM, deep learning, and multi-sensor fusion aligns with cutting-edge advancements in robotics and AI. His leadership roles, awards, and editorial responsibilities further strengthen his profile.

For the Best Researcher Award, he is a strong candidate, but additional international collaborations, funded research projects, and industry partnerships could further enhance his competitiveness for top-tier global research awards.

Publications Top Noted

Confidence Factor Based Robust Localization Algorithm with Visual-Inertial-LiDAR Fusion in Underground Space
- Authors: Fengyu Liu, Yi Cao, Xianghong Cheng, Jianfeng Wu, Wendong Gu, Luhui Liu
- Year: 2025
- DOI: 10.1109/TCSVT.2025.3530077
LiDAR-Aided Visual-Inertial Odometry Using Line and Plane Features for Ground Vehicles
- Authors: Jianfeng Wu, Xianghong Cheng, Fengyu Liu, Xingbang Tang, Wengdong Gu
- Year: 2025
- DOI: 10.1109/TVT.2025.3527472
Spatial Feature Recognition and Layout Method Based on Improved CenterNet and LSTM Frameworks
- Authors: Yuxuan Gu, Fengyu Liu, Xiaodi Yi, Lewei Yang, Yunshu Wang
- Year: 2025
- DOI: 10.4218/etrij.2024-0192
Transformer-Based Local-to-Global LiDAR-Camera Targetless Calibration With Multiple Constraints
- Authors: Fengyu Liu, Yi Cao, Xianghong Cheng, Xinyi Wu
- Year: 2024
- DOI: 10.1109/TIM.2024.3420358
Spacecraft-DS: A Spacecraft Dataset for Key Components Detection and Segmentation via Hardware-in-the-Loop Capture
- Authors: Yi Cao, Jinzhen Mu, Xianghong Cheng, Fengyu Liu
- Year: 2024
- DOI: 10.1109/JSEN.2023.3347584
A Visual SLAM Method Assisted by IMU and Deep Learning in Indoor Dynamic Blurred Scenes
- Authors: Fengyu Liu, Yi Cao, Xianghong Cheng, Luhui Liu
- Year: 2024
- DOI: 10.1088/1361-6501/ad03b9
A Spatial Layout Method Based on Feature Encoding and GA-BiLSTM
- Authors: Fengyu Liu, Xianghong Cheng
- Year: 2023
- DOI: 10.1145/3608143.3608155
Combination of Iterated Cubature Kalman Filter and Neural Networks for GPS/INS During GPS Outages
- Authors: Fengyu Liu, Xiaohong Sun, Yufeng Xiong, Huang Haoqian, Xiao-ting Guo, Yu Zhang, Chong Shen
- Year: 2019
- DOI: 10.1063/1.5094559

Volodymyr Polishchuk | Computer Science | Best Researcher Award

Posted on 01/02/202501/02/2025 by ScienceFather

Prof. Volodymyr Polishchuk | Computer Science | Best Researcher Award

Uzhhorod National University, Ukraine

Volodymyr Polishchuk is a distinguished academic specializing in information technology, fuzzy systems, and decision-making models. Currently serving as a Professor at both Uzhhorod National University in Ukraine and the Technical University of Košice in Slovakia, he has made significant contributions to the fields of artificial intelligence, risk assessment, and sustainable tourism. With a career spanning over a decade, he has co-authored numerous publications, including journal articles and book chapters, focusing on the application of advanced decision models in various sectors. His research is internationally recognized, and he is an active member of several academic networks. He is known for his interdisciplinary approach, bridging information technology with real-world challenges such as healthcare, aviation education, and urban development.

Professional Profile

Education

Volodymyr Polishchuk holds a prestigious Doctor of Sciences (DrSc.) degree from Uzhhorod National University, where he also completed his undergraduate and graduate education. His academic journey in information technology, mathematics, and fuzzy systems laid a strong foundation for his future research and teaching. As a professor at the university, he has guided numerous students and collaborated on innovative projects. Additionally, his academic credentials are complemented by his position at the Technical University of Košice in Slovakia, where he continues to contribute to cutting-edge research in his fields of expertise. His educational background supports his broad interdisciplinary approach, allowing him to address complex problems in various domains such as tourism, healthcare, and risk management.

Professional Experience

Professor Polishchuk has been a dedicated faculty member at Uzhhorod National University since 2011, where he teaches and conducts research at the Faculty of Information Technology. Over the years, he has gained recognition for his expertise in decision-making models and fuzzy systems. In addition to his role at Uzhhorod, he has been a professor at the Technical University of Košice, Slovakia. His professional experience extends beyond teaching, as he has collaborated on numerous international research projects and published widely in top-tier journals. He has also worked on hybrid decision models for risk assessment in sectors such as sustainable tourism, healthcare, and aviation education. His leadership in academic research has earned him recognition through various academic platforms, and he continues to actively engage with the global research community.

Research Interests

Volodymyr Polishchuk’s research primarily focuses on information technology, fuzzy systems, and decision-making models, with a particular emphasis on their practical applications across various industries. He is deeply engaged in developing hybrid models for evaluating complex processes, such as tourism sustainability, risk assessment, and healthcare outcomes. His work also explores the integration of artificial intelligence in decision-making, specifically in aviation education and urban development. Additionally, he is interested in the application of multicriteria decision analysis (MCDA) in solving real-world challenges. Polishchuk’s interdisciplinary approach allows him to connect cutting-edge technology with pressing global issues, contributing valuable insights to sectors like smart cities, start-up financing, and pandemic management. His research has significant implications for optimizing resource allocation, improving system efficiency, and mitigating risks in both public and private sectors.

Awards and Honors

Throughout his academic career, Volodymyr Polishchuk has earned several prestigious honors and recognition for his contributions to research and education. His interdisciplinary approach to problem-solving has led to numerous successful collaborations with leading academic and industry experts across Europe. He has been acknowledged by his peers for his innovative contributions to the fields of fuzzy logic, decision support systems, and sustainability models. Polishchuk’s research papers are widely cited, indicating the significant impact his work has had on the academic community. His exceptional leadership in research has also helped foster international collaborations, particularly in the development of sustainable tourism models and risk assessment frameworks for emerging sectors. His continued excellence in academia and research is further demonstrated by his involvement in high-impact projects and his active participation in global conferences.

Publications Top Noted

Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations
- Authors: Antoško, M., Polishchuk, V., Kelemen, M., Korniienko, A., Kelemen, M.
- Year: 2025
- Journal: Applied Sciences (Switzerland)
- Volume: 15(1), 308
- Citations: 0
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions
- Authors: Skare, M., Gavurova, B., Polishchuk, V.
- Year: 2025
- Journal: Expert Systems
- Volume: 42(1), e13443
- Citations: 1
On Convergence of the Uniform Norm and Approximation for Stochastic Processes from the Space Fψ(Ω)
- Authors: Rozora, I., Mlavets, Y., Vasylyk, O., Polishchuk, V.
- Year: 2024
- Journal: Journal of Theoretical Probability
- Volume: 37(2), pp. 1627–1653
- Citations: 0
THE IMPACT OF DIGITAL DISINFORMATION ON QUALITY OF LIFE: A FUZZY MODEL ASSESSMENT
- Authors: Gavurova, B., Moravec, V., Hynek, N., Petruzelka, B., Stastna, L.
- Year: 2024
- Journal: Technological and Economic Development of Economy
- Volume: 30(4), pp. 1120–1145
- Citations: 0
An information-analytical system for assessing the level of automated news content according to the population structure – A platform for media literacy system development
- Authors: Gavurova, B., Skare, M., Hynek, N., Moravec, V., Polishchuk, V.
- Year: 2024
- Journal: Technological Forecasting and Social Change
- Volume: 200, 123161
- Citations: 0
Decision Support System Regarding the Possibility of Financing Cross-Border Cooperation Projects
- Authors: Polishchuk, V., Kelemen, M., Polishchuk, I., Kelemen, M.
- Year: 2024
- Conference: CEUR Workshop Proceedings
- Volume: 3702, pp. 58–71
- Citations: 0
Hybrid Mathematical Model of Risk Assessment of UAV Flights Over Airports
- Authors: Polishchuk, V., Kelemen, M., Kelemen, M., Scerba, M.
- Year: 2024
- Conference: New Trends in Civil Aviation
- Citations: 0
A Fuzzy Multicriteria Model of Sustainable Tourism: Examples From the V4 Countries
- Authors: Skare, M., Gavurova, B., Polishchuk, V.
- Year: 2024
- Journal: IEEE Transactions on Engineering Management
- Volume: 71, pp. 12182–12193
- Citations: 6
Fuzzy multicriteria evaluation model of cross-border cooperation projects under resource curse conditions
- Authors: Skare, M., Gavurova, B., Polishchuk, V.
- Year: 2023
- Journal: Resources Policy
- Volume: 85, 103871
- Citations: 3
A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries

Authors: Skare, M., Gavurova, B., Polishchuk, V., Nawazish, M.
Year: 2023
Journal: Technological Forecasting and Social Change
Volume: 193, 122609
Citations: 7

Khyati Bhupta | Medicinal Chemistry | Best Researcher Award

Posted on 10/09/202410/09/2024 by ScienceFather

Mrs. Khyati Bhupta | Medicinal Chemistry | Best Researcher Award

Assistant Professor at Dr Subhash University, India

Khyati Bhupta is a highly motivated and accomplished professor specializing in the field of pharmacy. She is dedicated to both teaching and research, with a passion for fostering student development using modern teaching methods and advanced pedagogy. Her work is defined by her dedication to innovation and academic excellence. Her experience and skills, particularly in the pharmaceutical sector, make her a valuable contributor to both academia and the industry.

Professional profile

ORCID Profile.

Education 📚

Khyati holds a PhD in Pharmacy, which she earned in May 2013 from Dr. Subhash University, Gujarat. Prior to her PhD, she completed her Master’s in Pharmacy with a specialization in Quality Assurance from Gujarat Technological University in 2009, and her Bachelor’s in Pharmacy from Sardar Patel University in 2007. Her academic journey reflects a consistent focus on pharmaceutical sciences, with an emphasis on quality and research.

Professional Experience🎓

Over the years, Khyati has built extensive experience as a professor in pharmacy, contributing significantly to both teaching and research. She is skilled in handling pharmaceutical instruments and software, which has been vital in her research and practical work. Her expertise in communication and documentation further enhances her teaching capabilities, making her an effective educator who fosters learning through modern approaches and methodologies.

Research Interest🎓

Khyati’s research primarily focuses on pharmaceutical sciences, with significant work on benzothiazole derivatives, exploring their potential as antidiabetic and antiviral agents. She has published multiple papers on these topics in renowned journals such as MDPI and the Annals of the Romanian Society for Cell Biology. Her work also involves method development for pharmaceutical analysis, including titrimetric methods and RP-HPLC method development for drug estimation, reflecting her deep engagement in pharmaceutical research and innovation.

Awards and Honors 🏆

Khyati has received several recognitions for her contributions to research. In August 2022, she was granted a patent from the Government of India, demonstrating her innovative contributions to pharmaceutical science. Additionally, she received a grant from the SSIP (Student Startup and Innovation Policy) under the Gujarat Government in October 2023 for her work on a startup project, highlighting her potential in translating research into practical applications.

Publications top noted📜

BENZOTHIAZOLE: AS AN ANTIDIABETIC AGENT
- Authors: Khyati Bhupta
- Journal: Annals of the Romanian Society for Cell Biology
- Year: 2021
- Citations: N/A 📊💊
BENZOTHIAZOLE MOIETY AND ITS DERIVATIVES AS ANTIVIRAL AGENTS
- Authors: Khyati Bhupta
- Journal: MDPI
- Year: 2021
- Citations: N/A 🦠🔬
Biological Screening and Structure Activity Relationship of Benzothiazole
- Authors: Khyati Bhupta
- Journal: Research Journal of Pharmacy and Technology
- Year: 2022
- Citations: N/A 🧪📈
Development of Titrimetric Method for Estimation of Furosemide Tablets by Using Mixed Co-Solvency Process
- Authors: Khyati Bhupta
- Journal: International Journal of Biology, Pharmacy and Allied Sciences
- Year: 2022
- Citations: N/A ⚖️💊
RP-HPLC Method Development and Validation for Simultaneous Estimation of Ranitidine Hydrochloride and Domperidone in Combination
- Authors: Khyati Bhupta
- Journal: International Journal of Pharmacy, Biology and Allied Science
- Year: 2023
- Citations: N/A 📊🔬

Deepa Mulimani | Computer Science | Best Researcher Award

Posted on 02/08/202402/08/2024 by ScienceFather

Mrs. Deepa Mulimani | Computer Science | Best Researcher Award

Assistant Professor of KLE Technological University, Hubballi, India

Deepa Mulimani is a dedicated and highly experienced Assistant Professor in Computer Science and Applications with over 19 years of expertise 🌟. Renowned for her higher cognitive training methodologies, exceptional communication skills, and technical documentation prowess, she has consistently provided stellar support to both professors and students 🎓. Proficient in data management, machine learning, big data analytics, and programming languages such as Python, Java, C, C++, and C#, Deepa’s versatile skill set is complemented by her impressive academic and administrative capabilities 📊. Her commitment to lifelong learning is evident through her numerous Coursera certifications, including scalable machine learning and deep learning 🧠. Deepa’s innovative teaching methods, curriculum development, and student research guidance at KLE Technological University have significantly impacted her students’ academic progress 🌱. Her robust publication record, featuring research on concept drift adaptation, deep learning, and streaming data mining, showcases her active contribution to the scientific community 📚.

Professional profile

Education📚

Deepa holds a Master of Science in Computer Science from Karnatak University, Dharwad, where she was the University Rank II, and a Bachelor of Computer Applications from Karnatak Science College, Dharwad, also with University Rank II. Her academic achievements underscore her strong foundational knowledge and academic excellence.

Professional Experience🏛️

As an Assistant Professor at KLE Technological University, Hubli, Karnataka, since 2008, Deepa has applied innovative teaching methods, revised curricula, and designed courses for MCA students. She has also created blended learning materials and collaborated with industry leaders for student training in robotic process automation (RPA). Her previous role as a lecturer at KLES’s College of Business Administration involved educating BBA students and coordinating cultural activities.

Research🏆

Currently, Deepa is pursuing research in Big Data Analytics with a focus on streaming data mining. Her ongoing research endeavors align well with contemporary challenges in data science and analytics, demonstrating her commitment to advancing knowledge in this field.

Publications top noted📜

Impact analysis of real and virtual concept drifts on the predictive performance of classifiers 🧠
- Authors: Benni, R., Totad, S., Mulimani, D., Kg, K.
- Year: 2024
- Citations: 0
Online Detection and Adaptation of Concept Drift in Streaming Data Classification 🔄
- Authors: Mulimani, D., Patil, P., Totad, S., Benni, R.
- Year: 2024
- Citations: 0
Heuristic Approach for Detecting and Neutralizing Black Hole Attacks in Wireless Sensor Networks 🌐
- Authors: Benni, R., Kittur, M.M., Patil, P., Mulimani, D.
- Year: 2023
- Citations: 0
Adaptive Classifier to Address Concept Drift in Imbalanced Data Streams ⚖️
- Authors: Mulimani, D., Patil, P.R., Totad, S.G.
- Year: 2023
- Citations: 0
Weighted Averaging Ensemble Model for Concept Drift Adaptation in Streaming Data ⚙️
- Authors: Mulimani, D., Kanakaraddi, S.G., Totad, S.G., Patil, P.R.
- Year: 2022
- Citations: 3
Experiential Learning Enhancing User Interface Design Skills through Cognitive Action 💡
- Authors: Mulimani, D., Seeri, S.V., Patil, P., Kulkarni, S.
- Year: 2017
- Citations: 0

Rithish S V | Computer Science | Best Researcher Award

Posted on 31/07/202431/07/2024 by ScienceFather

Mr. Rithish S V | Computer Science | Best Researcher Award

Student of Amrita University, India

Rithish S V is a passionate Computer Science student at Amrita Viswa Vidyapeetham specializing in Cloud Computing and Machine Learning 🌐📊. With a strong foundation in Microservices Architecture and cloud-native application design and deployment ☁️💻, he is actively enhancing his skills in Salesforce development 🚀. Rithish’s projects, such as developing a cloud monitoring app on Kubernetes and an emergency assistance app called “Emergify” 🚨📱, showcase his innovative approach and technical prowess. Fluent in multiple programming languages and proficient in various cloud and DevOps tools, Rithish exemplifies a blend of technical expertise and effective communication skills 🌟🗣️. His awards and certifications further validate his dedication and excellence in the field of computer science 🏆🎖️.

Professional profile

Scopus Profile.

Education📚

Rithish has consistently excelled academically, currently pursuing a B.Tech in Computer Science and Engineering at Amrita Viswa Vidyapeetham with a GPA of 8.2. He completed his higher secondary education at Sri Lathangi Vidya Mandir with an impressive percentage of 91.6 and his secondary school education with a percentage of 93.6.

Professional Experience🏛️

Rithish S V is a dedicated Computer Science student with a strong focus on Cloud Computing and Machine Learning, demonstrating a profound understanding of Microservices Architecture and cloud-native application design and deployment. He is actively honing his skills in Salesforce development and showcases proficiency in problem-solving, communication, and team management, ensuring efficient project execution.

Skills🏆

Rithish is proficient in multiple programming languages, including Python, C++, and Java, and possesses expertise in cloud and DevOps tools such as AWS, Google Cloud Platform, Kubernetes, and Docker. He also has knowledge in networking, blockchain (solidity), and various development languages like SQL, JS, HTML, React.js, and CSS. His soft skills include team management, analytical thinking, problem-solving, and effective communication.

Publications top noted📜

Title: Echoes of Truth: Unraveling Homophily in Attributed Networks for Rumor DetectionAuthors: Rithish S.V., Prabu C.R., Anuush M.B., Deepthi L.R.
Journal: Procedia Computer Science, 2024, Volume 233, Pages 184–193

Abstract: The paper “Echoes of Truth: Unraveling Homophily in Attributed Networks for Rumor Detection” presents innovative research on identifying and mitigating the spread of rumors in social networks. By leveraging homophily—the tendency of individuals to associate and bond with similar others—the authors developed algorithms that effectively detect rumor sources within attributed networks. This study provides significant insights into network dynamics and offers practical solutions for improving information reliability in digital communication platforms.

Kalpa Subbaiah | Computer Science | Women Researcher Award

Posted on 27/07/202427/07/2024 by ScienceFather

Mrs. Kalpa Subbaiah | Computer Science | Women Researcher Award

VP-Lead Data Scientist of JP Morgan Chase, India

👩‍💼 Mrs. Kalpa Subbaiah is a seasoned Data Scientist with 16 years of experience, including 8 in Data Science. She holds advanced degrees in Machine Learning and AI. Certified in AWS, Azure, and Microsoft technologies, Kalpa excels in Azure Databricks, Machine Learning, and AI Cognitive Services. She is proficient in processing streaming and batch data and building cloud deployment pipelines. A published researcher in sentiment analysis, she is recognized for her strong analytical and project management skills.

Professional profile

Scopus Profile.

Education📚

🎓 Mrs. Kalpa Subbaiah holds a Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University, UK. She also earned a Post-Graduation Diploma in Machine Learning and AI from the International Institute of Information Technology, Bangalore, and a Post-Graduation Certificate in Big Data Analytics & Optimization from Insofe (International School of Engineering). Additionally, Kalpa has a Bachelor’s degree in Computer Science and Engineering from Vishweshwaraiah Technological University, completed in 2006. 📚

Professional Experience🏛️

👩‍💼 Mrs. Kalpa Subbaiah boasts a robust professional journey with 16 years of experience, including 8 in Data Science. She has held roles at HP 🖥️, Bosch 🛠️, Insofe 🏫, Microsoft 💼, and JP Morgan Chase 🏦. As a Microsoft Open Hack Coach and Lead, she specializes in serverless, AI knowledge mining, and Modern Data Warehouse. Her expertise spans Azure Databricks, Azure Machine Learning, and AI Cognitive Services, where she excels in processing streaming and batch data, building models, and creating cloud deployment pipelines.

Research Interest🌐

🔍 Mrs. Kalpa Subbaiah is deeply interested in advancing the fields of Machine Learning, Deep Learning, and AI. Her research focuses on Natural Language Processing (NLP) 🤖, Computer Vision 🖼️, and GenAI technologies like lang chain, transformers, and OpenAI. She has a keen interest in Aspect-Based Sentiment Analysis, particularly using Weakly Supervised Learning. Kalpa is also passionate about developing end-to-end machine learning pipelines, integrating Big Data components, and leveraging frameworks such as TensorFlow, sklearn, and NLTK to solve complex data science problems. 📊📈

Awards and Honors🏆

🏆 Mrs. Kalpa Subbaiah has received numerous awards and honors throughout her career. She has been recognized for her exceptional contributions to Data Science and AI, including publishing a research paper on Aspect-Based Sentiment Analysis using Weakly Supervised Learning. As a certified professional in AWS Machine Learning Specialty, Microsoft Azure Data Scientist, Azure AI Engineer Associate, and more, she has consistently demonstrated her expertise and leadership. Additionally, she has earned accolades for her roles as a Microsoft Open Hack Coach and Lead in serverless, AI knowledge mining, and Modern Data Warehouse.

Achievements🏅

📜 Published a research paper on Aspect-Based Sentiment Analysis using Weakly Supervised Learning.
👩‍💻 Successfully led and completed large, complex data science projects across various industries.
💼 Served as a Microsoft Open Hack Coach and Lead for serverless, AI knowledge mining, and Modern Data Warehouse.
📊 Developed end-to-end machine learning pipelines and integrated Big Data components like Azure Event Hubs, Synapse, Stream Analytics, Spark Structured Streaming, Hadoop, Kafka, and Spark.
🎓 Certified in multiple prestigious certifications, including AWS Machine Learning Specialty and Microsoft Azure Data Scientist.
🤖 Expert in leveraging advanced machine learning frameworks such as TensorFlow, sklearn, OpenCV, and NLTK.
🧠 Recognized for strong analytical and team player skills, consistently delivering impactful data science solutions.
🌟 Created and shared knowledge through blogs on Medium and machine learning videos on the Microsoft community channel.

Certificates🛠️

🏆 AWS Certified: Machine Learning Specialty
🎓 Microsoft Certified: Azure Data Scientist
💼 Microsoft Certified: Azure AI Engineer Associate
🚀 Microsoft: Open Hack Serverless Tech Lead
📊 Microsoft Certified: Data Engineer Associate
🏫 Post-Graduation Certificate in “Big Data Analytics & Optimization” from Insofe (International School of Engineering)
🤖 Microsoft Certified: Azure AI Fundamentals
📈 Microsoft Certified: Azure Data Fundamentals

Publications top noted📜

Author: Kalpa Subbaiah, Bolla B.K.
Title: Aspect Category Learning and Sentimental Analysis Using Weakly Supervised Learning
Journal: Procedia Computer Science
Year: 2024
Volume: 235
Pages: 1246–1257
Citations: 0 📉

Prof Dr. Mehlika Dilek Altıntop | Medicinal Chemistry | Women Researcher Award

Posted on 23/07/202424/07/2024 by ScienceFather

Prof Dr. Mehlika Dilek Altıntop | Medicinal Chemistry | Women Researcher Award

Prof Dr. Anadolu University, Turkey

Dr. Mehlika Dilek Altıntop is a prominent Professor in Pharmaceutical Chemistry at Anadolu University. Her academic journey includes a Bachelor’s from Anadolu University, followed by a Master’s and Ph.D. in Pharmaceutical Chemistry from the same institution. She has served in various academic roles, including Research Assistant, Assistant Professor, and currently as a Professor. Her administrative roles include serving as Associate Director and Quality Coordinator at Anadolu University. Dr. Altıntop has received numerous awards for her research, including the Outstanding Woman Researcher Award and multiple Article Performance Awards. She is actively involved in editorial and guest editing roles in prestigious scientific journals and has supervised numerous master’s and doctoral dissertations in her field.

Professional profile

Scopus

Education 📚

Primary School: İkieylül Elementary School (1991-1996)Secondary School – High School: Eskişehir Anatolian High School (1996-2003)Undergraduate: Anadolu University, Faculty of Pharmacy (2003-2007)Master’s Degree (with Thesis): Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (2007-2009)Doctoral Degree: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (2009-2012)Languages: English (Excellent)

Academic Titles 🎓

Research Assistant: Anadolu University, Faculty of Pharmacy (2010-2012)Research Assistant Doctor: Anadolu University, Faculty of Pharmacy (2012-2014)Assistant Professor Doctor: Anadolu University, Faculty of Pharmacy (2014-2015)Associate Professor Doctor: Anadolu University, Faculty of Pharmacy (2015-2020)Professor Doctor: Anadolu University, Faculty of Pharmacy (2020-Present)Administrative Roles 🏛️Erasmus/Farabi/Mevlana Assistant Coordinator: Anadolu University Faculty of Pharmacy (2013-2014)Associate Director: Anadolu University Graduate School of Health Sciences (2014-2017, 2023)Quality Coordinator: Anadolu University Graduate School of Health Sciences (2022-2023)

Awards and Honors 🏆

Anadolu University Faculty of Pharmacy Championship Award (2007)The Scientific and Technological Research Council of Turkey Graduate Scholarship (2007-2009)Anadolu University Science and Technology Encouragement Award (2014)Anadolu University Gold & Platinum Article Performance Awards (2015)Outstanding Reviewer, European Journal of Medicinal Chemistry (2016)Turkish Pharmacists’ Association Academy of Pharmacy Encouragement Award (2019)ISIF’21 Silver Medal for “Targeted Novel Triazolothiadiazine Derivatives for The Treatment of Lung Cancer” (2021)Award of Outstanding Woman Researcher in Pharmaceutical Chemistry, VIWA 2021

Publication📜

Design, Synthesis, and In Vivo Evaluation of a New Series of Indole-Chalcone Hybrids as Analgesic and Anti-Inflammatory Agents
Authors: Baramaki, I., Altıntop, M.D., Arslan, R., Hasan, A., Bektaş Türkmen, N.
Journal: ACS Omega, 2024, 9(10), pp. 12175–12183

Design, Synthesis, and Evaluation of a New Series of 2-Pyrazolines as Potential Antileukemic Agents
Authors: Altıntop, M.D., Cantürk, Z., Özdemir, A.
Journal: ACS Omega, 2023, 8(45), pp. 42867–42877

Design, Synthesis, and Evaluation of a New Series of Hydrazones as Small-Molecule Akt Inhibitors for NSCLC Therapy
Authors: Erdönmez, B., Altıntop, M.D., Akalın Çiftçi, G., Özdemir, A., Ece, A.
Journal: ACS Omega, 2023, 8(22), pp. 20056–20065

A New Series of Hydrazones as Small-Molecule Aldose Reductase Inhibitors
Authors: Altıntop, M.D., Demir, Y., Türkeş, C., Beydemir, Ş., Özdemir, A.
Journal: Archiv der Pharmazie, 2023, 356(4), 2200570

A New Series of Thiazole-Hydrazone Hybrids for Akt-Targeted Therapy of Non-Small Cell Lung Cancer
Authors: Orujova, T., Ece, A., Akalın Çiftçi, G., Özdemir, A., Altıntop, M.D.
Journal: Drug Development Research, 2023, 84(2), pp. 185–199

Synthesis, In Silico and In Vitro Evaluation of New 3,5-Disubstituted-1,2,4-Oxadiazole Derivatives as Carbonic Anhydrase Inhibitors and Cytotoxic Agents
Authors: Kucukoglu, K., Faydali, N., Bul, D., Ozturk, B., Guzel, I.
Journal: Journal of Molecular Structure, 2023, 1276, 134699

Discovery of Small Molecule COX-1 and Akt Inhibitors as Anti-NSCLC Agents Endowed with Anti-Inflammatory Action
Authors: Altıntop, M.D., Akalın Çiftçi, G., Yılmaz Savaş, N., Alataş, Ö., Özdemir, A.
Journal: International Journal of Molecular Sciences, 2023, 24(3), 2648

Microwave-Assisted Synthesis of a Series of 4,5-Dihydro-1H-Pyrazoles Endowed with Selective COX-1 Inhibitory Potency
Authors: Altıntop, M.D., Temel, H.E., Özdemir, A.
Journal: Journal of the Serbian Chemical Society, 2023, 88(4), pp. 355–365

Design, Synthesis, and Biological Evaluation of a New Series of Arylidene Indanones as Small Molecules for Targeted Therapy of Non-Small Cell Lung Carcinoma and Prostate Cancer
Authors: Altıntop, M.D., Özdemir, A., Temel, H.E., Kaplancıklı, Z.A., Akalın Çiftçi, G.
Journal: European Journal of Medicinal Chemistry, 2022, 244, 114851

A New Series of Thiosemicarbazone-Based Anti-Inflammatory Agents Exerting Their Action Through Cyclooxygenase Inhibition
Authors: Altıntop, M.D., Sever, B., Akalın Çiftçi, G., Alataş, Ö., Özdemir, A.
Journal: Archiv der Pharmazie, 2022, 355(9), 2200136

Ahmet Özdemir | Medicinal Chemistry | Best Researcher Award

Posted on 23/07/202423/07/2024 by ScienceFather

Prof Dr. Ahmet Özdemir | Medicinal Chemistry | Best Researcher Award

Prof Dr. Anadolu University, Turkey

Prof Dr. Ahmet Özdemir is a Professor of Pharmaceutical Chemistry at Anadolu University, holding several prestigious academic titles and administrative roles. With a strong educational foundation in pharmacy and pharmaceutical chemistry, they have supervised both master’s and doctoral theses. Their research has garnered numerous awards, including multiple Article Performance Awards and an ISIF’21 Silver Medal for their invention targeting lung cancer treatment. Dr. [Your Name] has authored significant research on synthesizing bioactive compounds, reflecting their expertise in pharmaceutical chemistry and dedication to advancing medicinal science. They are proficient in English and have an extensive international research profile, including ORCID and Scopus Author IDs.

Professional profile

Scopus

Orcid

Education 🎓

Primary School: Salihli Cumhuriyet Elementary School (1978-1983)Secondary School: Salihli 50. Yıl Secondary School (1983-1986)High School: Salihli High School (1986-1989)Undergraduate: Anadolu University, Faculty of Pharmacy (1990-1994)Master’s Degree (with Thesis): Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (1995-1996)Thesis Title: “The studies on the synthesis, structure elucidations and determination of physicochemical parameters of some 2-substituted-1H-phenantro[9,10-d]imidazole compounds”Supervisor: Prof. Dr. İlhan Işıkdağ, 02.09.1996Doctorate Degree: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (1996-2004)Thesis Title: “Synthesis of some 1-[(N,N-disubstituted-thiocarbonylthio)acetyl]-3-(2-thienyl)-5-aryl-2-pyrazoline derivatives and investigation of their antifungal, antibacterial activities”Supervisor: Prof. Dr. Gülhan Turan, 10.05.2004Foreign Languages: English (Intermediate)

Academic Titles 🏅

Research Assistant: Anadolu University, Faculty of Pharmacy (1997-2004)Research Assistant Doctor: Anadolu University, Faculty of Pharmacy (2004-2005)Lecturer: Anadolu University, Faculty of Pharmacy (2005-2007)Assistant Professor Doctor: Anadolu University, Faculty of Pharmacy (2007-2010)Associate Professor Doctor: Anadolu University, Faculty of Pharmacy (2010-2015)Professor Doctor: Anadolu University, Faculty of Pharmacy (2015-present)

Administrative Tasks 🗂️

Associate Director: Anadolu University Yunus Emre Vocational School (2011-2014)Vice Academic Director: Anadolu University Open Education Faculty, Department of Health Administration (2015-present)

Awards 🏆

Anadolu University Article Performance Award (2014)Anadolu University Gold Article Performance Award (2015)Anadolu University Platinum Article Performance Award (2015)Anadolu University Article Performance Award (2016, 2017, 2018, 2020)Anadolu University Academic Success Award (2019)ISIF’21 Silver Medal: Invention titled “Targeted Novel Triazolothiadiazine Derivatives for The Treatment of Lung Cancer” (2021)Right Holder: Anadolu UniversityInventors: Assoc. Prof. Dr. Belgin Sever, Prof. Dr. Mehlika Dilek Altintop, Prof. Dr. Ahmet Ozdemir, Prof. Dr. Gülşen Akalın Çiftçi

Supervised Master Dissertations 🎓

Supervisor: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical ChemistryStudent: Sevtem GökbulutDissertation Title: “Synthesis of new 5-chloro-6-methoxy-2-[4-(substituted)benzylidene]-2,3-dihydro-1H-inden-1-one derivatives and investigation of their biological effects”Date: 13/01/2017

Supervised Doctorate Dissertations 🎓

Supervisor: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical ChemistryStudent: Muhammed KarabacakDissertation Title: “The Synthesis of New Pyrazoline Derivatives and The Investigation of Their Biological Activities”Date: 15/08/2016

Publication📜

Design, Synthesis, and In Vivo Evaluation of a New Series of Indole-Chalcone Hybrids as Analgesic and Anti-Inflammatory Agents

Baramaki, I., Altıntop, M.D., Arslan, R., Hasan, A., Bektaş Türkmen, N.
ACS Omega, 2024, 9(10), pp. 12175–12183

Design, Synthesis, and Evaluation of a New Series of 2-Pyrazolines as Potential Antileukemic Agents

Altıntop, M.D., Cantürk, Z., Özdemir, A.
ACS Omega, 2023, 8(45), pp. 42867–42877

Design, Synthesis, and Evaluation of a New Series of Hydrazones as Small-Molecule Akt Inhibitors for NSCLC Therapy

Erdönmez, B., Altıntop, M.D., Akalın Çiftçi, G., Özdemir, A., Ece, A.
ACS Omega, 2023, 8(22), pp. 20056–20065

A New Series of Hydrazones as Small-Molecule Aldose Reductase Inhibitors

Altıntop, M.D., Demir, Y., Türkeş, C., Beydemir, Ş., Özdemir, A.
Archiv der Pharmazie, 2023, 356(4), 2200570

A New Series of Thiazole-Hydrazone Hybrids for Akt-Targeted Therapy of Non-Small Cell Lung Cancer

Orujova, T., Ece, A., Akalın Çiftçi, G., Özdemir, A., Altıntop, M.D.
Drug Development Research, 2023, 84(2), pp. 185–199

Discovery of Small Molecule COX-1 and Akt Inhibitors as Anti-NSCLC Agents Endowed with Anti-Inflammatory Action

Altıntop, M.D., Akalın Çiftçi, G., Yılmaz Savaş, N., Alataş, Ö., Özdemir, A.
International Journal of Molecular Sciences, 2023, 24(3), 2648

Microwave-Assisted Synthesis of a Series of 4,5-Dihydro-1H-Pyrazoles Endowed with Selective COX-1 Inhibitory Potency

Altıntop, M.D., Temel, H.E., Özdemir, A.
Journal of the Serbian Chemical Society, 2023, 88(4), pp. 355–365

Naresh Kamble | Cyber Security | Best Researcher Award

Posted on 22/07/202423/07/2024 by ScienceFather

Mr. Naresh Kamble | Cyber Security | Best Researcher Award

D.Y.Patil Agriculture & Technical University, Talsande, Kolhapur, India

Naresh Kamble is an accomplished Assistant Professor at D.Y. Patil Agriculture & Technical University, Kolhapur, with extensive experience in teaching, research, and academic administration. He is pursuing his Ph.D. in Cyber Security and Machine Learning from VIT University, Bhopal, and has a strong track record of publications in reputed journals. Naresh has played a pivotal role in organizing workshops and providing consultancy for NBA accreditation, contributing significantly to the academic growth and development of various institutions. His research interests lie in the domains of cyber security, machine learning, and data security, with a focus on innovative and practical applications.

Professional profile

Education📚

Bachelor of Information Technology, Shivaji University, Kolhapur, 2010

M.E. in Computer Network, SPPU University, Pune, 2016

Ph.D. in Cyber Security and Machine Learning (Pursuing), VIT University, Bhopal, 2019-Present

Completed coursework with 8.00 CGPA and successfully completed the comprehensive examination.

Professional Experience🏛️

Naresh Kamble is a seasoned academic professional with over 13 years of experience in the field of Computer Science and Engineering. Currently, he serves as an Assistant Professor in the CSE (AR-VR & Multimedia) Department at D.Y. Patil Agriculture & Technical University, Talsande, Kolhapur, since May 2024. His academic journey includes significant roles such as:

Assistant Professor in the CSE (AIML & DS) Department at Kolhapur Institute of Technology (Feb 2023 – May 2024)
Lecturer in the CSE Department at Sanjay Ghodawat Polytechnic, Atigre (June 2014 – Feb 2023)
Assistant Professor in the CSE Department at Sanjay Ghodawat Institute (Dec 2011 – May 2014)
Lecturer in the IT Department at Sanjay Ghodawat Institute (Aug 2011 – Dec 2011)
Head of Department in the CSE Department at Vithal Patil Polytechnic, Sangli (July 2010 – June 2011)
Lecturer in the CSE Department at Govt. Polytechnic, Tasgaon (2010-2011)

Additionally, he has held significant administrative roles such as Central IT in-charge, NAAC team member, Central AKASH Coordinator, Central Feedback Coordinator, and Central NBA Coordinator. He has been actively involved in organizing workshops and providing consultancy for NBA accreditation, with several institutions achieving successful accreditation under his guidance.

Research Interest🌐

Naresh Kamble’s research primarily focuses on:

Cyber Security
Machine Learning
Image Processing
Data Security
Artificial Intelligence
Blockchain Technology

His ongoing Ph.D. research revolves around detecting phishing attacks using NLP and machine learning, for which he has received a copyright from the Government of India.

Author Metrics

Naresh Kamble has contributed to the academic community through various publications. Some of his notable works include:

A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement (Earth Science Informatics, 2023) – 5 Citations
Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records (International Journal of Intelligent Systems and Applications in Engineering, 2023) – 2 Citations
Content-Based Image Recovery System with the Aid of Median Binary Design Pattern (Traitement du Signal, 2023) – 2 Citations
Phishing Attack Detection using NLP and Machine Learning (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)
BHAS: A Blockchain-Based Healthcare Analytic System for Quality of Service Concerns in PHR (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)

Publication📜

An attainment tool for measuring course outcomes and program outcomes

SS Dandin, R Jinde, N Kamble
International Journal for Advance Research and Development, 3(3), 24-27, 2018
4 Citations

Hybrid optimization enabled squeeze net for phishing attack detection

N Kamble, N Mishra
Computers & Security, 144, 103901, 2024

Securing Cyberspace: Unveiling Phishing Attacks Through Deep Neural Networks for Enhanced Detection

N Kamble, N Mishra
2024 International Conference on Advancements in Smart, Secure and Sustainable Computing, 2024

BHAS: A Blockchain-Based Healthcare Analytic System to Manage Privacy and Scalability Concerns

S Rokade, N Mishra, N Kamble
Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Phishing Attack Detection using NLP and Machine Learning

N Kamble, N Mishra, S Rokade
Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Posted on 22/07/202422/07/2024 by ScienceFather

Prof. Dr. Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Dean International Division of Ajeenkya D Y Patil University, India

Prof. Dr. Vijayakumar Varadarajan holds a distinguished academic background, beginning with his undergraduate studies in engineering, where he achieved the Anna Award for First Rank at Vellore Engineering College, University of Madras (2000) 🎓🥇. He further excelled academically by securing a 100% result at SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📈🏆. His commitment to excellence continued through his Master’s studies, culminating in a PhD that propelled him into a career of impactful research and innovation. His academic journey reflects a blend of rigorous scholarship and outstanding achievements, setting a strong foundation for his extensive contributions to the field. 📚✨

Professional profile

Google Scholar.

Education📚

Professional Experience🏛️

Prof. Dr. Vijayakumar Varadarajan boasts an impressive professional career spanning over two decades, marked by significant contributions in both academia and industry. 🌟 With innovative managerial experience at various national and international institutions, he has skillfully advanced and executed strategies to realize organizational visions. His roles have included overseeing change management and facilitating performance improvements, which have strengthened teamwork and collaboration. 🌍🤝 Notably, he has been instrumental in mentoring through prestigious fellowships, such as those awarded to researchers from Universite Nangui Abrogoua and Landmark University by FICCI/DST India. 🌐🎓 His career also highlights his dedication to education, with roles that emphasize internal and external collaboration, grant management, and organizational development, all while striving to position organizations among the global elite. 💼📈

Research Interest🌐

Prof. Dr. Vijayakumar Varadarajan is deeply engaged in cutting-edge research within the realm of computer science and engineering. 💻🔬 His work focuses on advancing technologies and strategies in cloud computing ☁️, cybersecurity 🔒, and innovative managerial practices. His research interests also encompass the design and implementation of long-term strategies to enhance organizational effectiveness and drive impactful change. 🌟📈 With a commitment to fostering global collaborations, his research is geared towards leveraging expertise and resources to achieve top-tier results and contribute to the advancement of the field. 🌍🤝

Awards and Honors🏆

Prof. Dr. Vijayakumar Varadarajan has received numerous accolades throughout his distinguished career, underscoring his excellence and contributions to the field. 🏆✨ Among his notable honors are the CHARUSAT Research Paper Award (2023) 🎓🏅 and the Best Guest Editor Award from IJISC (2021) 📘🥇. His achievements in environmental and technological impact have been recognized with the Silver Award for Green Impact from UNSW, Australia (2020) 🌱🥈 and the Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️. Additionally, he has been celebrated for his contributions to cybersecurity literature 📘🔒 and honored as a European Alliance for Innovation Fellow (2019) 🤝🇪🇺. His early accomplishments include the Anna Award for First Rank at Vellore Engineering College (2000) 🎓🥇 and a series of awards at Mahindra Satyam and FORD India, highlighting his consistent dedication and excellence in his field. 👏🚗

Research skill🔬

Prof. Dr. Vijayakumar Varadarajan possesses exceptional research skills that have significantly impacted the fields of computer science and engineering. 🔬💻 His expertise includes advanced cloud computing ☁️, robust cybersecurity 🔒, and strategic management practices, showcasing his ability to drive innovation and tackle complex challenges. He excels in designing and implementing research strategies that promote organizational growth and technological advancements 🌟📈. His skills also extend to managing high-profile research projects, fostering international collaborations 🌍🤝, and ensuring transparency and efficiency in grant management 💼. With a keen focus on both theoretical and applied aspects of research, Dr. Varadarajan continues to contribute valuable insights and solutions to his field. 📊🔍

Achievements🏅

CHARUSAT Research Paper Award (2023) 🏆📜
Best Guest Editor Award from IJISC (2021) 🥇📘
LinkedIn Badge for Our K17 Green Team, UNSW, Australia (2020) 🌱🦘
Silver Award, Green Impact 2020, UNSW, Australia 🥈🌏
Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️
Appreciation for Cybersecurity Book in New K-12 Online Learning E-Book Collection, IGI Global (2020) 📘🔒
European Alliance for Innovation Fellow (2019) 🤝🇪🇺
Research Award, VIT Chennai (2014-2019) 🏅🎓
Best Faculty Award, VIT Chennai (2016) 🌟🏫
Outstanding Contribution Award, Design for Scientific Renaissance, UK (2018-2019) 🏆🇬🇧
Anna Award – First Rank, Vellore Engineering College, University of Madras (2000) 🎓🥇
100% Result Achievement, SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📊🏆
Bravo Award, Mahindra Satyam (2009) 👏🏆
Pat on Back Award, Mahindra Satyam (2010) 👏👏
Vendor Excellence Award, FORD India (2011) 🏅🚗
Honours Award, Department of Technical Education Diploma 🎖️📜
Centum in Mathematics, Secondary School Leaving Certificate 📈📊

Projects🛠️

Post Doctoral Inbound Fellowship for Mr. Yaya SORO 🌍🎓
- Institution: Université Nangui Abrogoua
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Ikponmwosa Owen Evbuomwan 🌍🔬
- Institution: Landmark University, Nigeria
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Ahmed Abbi Abdille 🌍🧪
- Institution: Somalia
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Coulibaly Hermann 🌍📚
- Institution: Université Nangui Abrogoua, Ivory Coast
- Sponsorship: FICCI/DST India
Certified for Marathon, Run for Vivek and Run with Vivekananda, Ferguson College, Pune (2023) 🏃‍♂️🏅

Publication📜

“A study on medical Internet of Things and Big Data in personalized healthcare system”
- Authors: V Jagadeeswari, V Subramaniyaswamy, R Logesh, V Vijayakumar
- Journal: Health Information Science and Systems
- Year: 2018
- Citations: 343
- Volume & Issue: 6 (1), 14
- Emojis: 🏥📊🔍
“Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system”
- Authors: M Poongodi, A Sharma, V Vijayakumar, V Bhardwaj, AP Sharma, R Iqbal, …
- Journal: Computers & Electrical Engineering
- Year: 2020
- Citations: 311
- Volume: 81, 106527
- Emojis: 💹🔗📉
“Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires”
- Authors: S Sudhakar, V Vijayakumar, CS Kumar, V Priya, L Ravi, …
- Journal: Computer Communications
- Year: 2020
- Citations: 257
- Volume & Pages: 149, 1-16
- Emojis: 🚁🔥🌲
“Random forest bagging and x‐means clustered antipattern detection from SQL query log for accessing secure mobile data”
- Authors: RK Dhanaraj, V Ramakrishnan, M Poongodi, L Krishnasamy, M Hamdi, …
- Journal: Wireless Communications and Mobile Computing
- Year: 2021
- Citations: 222
- Volume & Article: 2021 (1), 2730246
- Emojis: 🔍📊🔐
“Genetic algorithm based demand side management for smart grid”
- Authors: C Bharathi, D Rekha, V Vijayakumar
- Journal: Wireless Personal Communications
- Year: 2017
- Citations: 215
- Volume & Pages: 93, 481-502
- Emojis: ⚙️🌐💡
“Intrusion prevention system for DDoS attack on VANET with reCAPTCHA controller using information based metrics”
- Authors: M Poongodi, V Vijayakumar, F Al-Turjman, M Hamdi, M Ma
- Journal: IEEE Access
- Year: 2019
- Citations: 206
- Volume & Pages: 7, 158481-158491
- Emojis: 🚨🔒📊
“New York City taxi trip duration prediction using MLP and XGBoost”
- Authors: M Poongodi, M Malviya, C Kumar, M Hamdi, V Vijayakumar, J Nebhen, …
- Journal: International Journal of System Assurance Engineering and Management
- Year: 2022
- Citations: 203
- Volume & Pages: 1-12
- Emojis: 🚖⏱️📊
“5G based Blockchain network for authentic and ethical keyword search engine”
- Authors: M Poongodi, M Malviya, M Hamdi, V Vijayakumar, MA Mohammed, …
- Journal: IET Communications
- Year: 2022
- Citations: 195
- Volume & Pages: 16 (5), 442-448
- Emojis: 📱🔗🔍
“Random forest for big data classification in the internet of things using optimal features”
- Authors: SK Lakshmanaprabu, K Shankar, M Ilayaraja, AW Nasir, V Vijayakumar, …
- Journal: International Journal of Machine Learning and Cybernetics
- Year: 2019
- Citations: 183
- Volume & Pages: 10 (10), 2609-2618
- Emojis: 📊🌐🔍
“Bitcoin price prediction using ARIMA model”
- Authors: M Poongodi, V Vijayakumar, N Chilamkurti
- Journal: International Journal of Internet Technology and Secured Transactions
- Year: 2020
- Citations: 177
- Volume & Issue: 10 (4)
- Emojis: 💵📉🔮
“The state of the art of deep learning models in medical science and their challenges”
- Authors: C Bhatt, I Kumar, V Vijayakumar, KU Singh, A Kumar
- Journal: Multimedia Systems
- Year: 2021
- Citations: 163
- Volume & Pages: 27 (4), 599-613
- Emojis: 🧠💉🔍
“A personalised movie recommendation system based on collaborative filtering”
- Authors: V Subramaniyaswamy, R Logesh, M Chandrashekhar, A Challa, …
- Journal: International Journal of High Performance Computing and Networking
- Year: 2017
- Citations: 156
- Volume & Issue: 10 (1-2)
- Emojis: 🎬🤝📈