Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

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Mr. Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

Senior Software Engineer at Technology Partners Inc, United States.

Venkata Praveen Kumar Kaluvakuri is an accomplished Oracle Certified Java/J2EE Software Developer with over 13 years of experience in crafting customized solutions for web-based applications. Throughout his career, he has been actively involved in all phases of the Software Development Life Cycle (SDLC), from requirement analysis and design to implementation, testing, and support. Venkata possesses strong proficiency in Java programming, with expertise in functional programming, lambda expressions, and design patterns. He has demonstrated his skills in developing UI applications using NodeJs and Angular, and has extensive experience in building and managing cloud infrastructure on AWS, employing services like EC2, S3, and Lambda.

Professional Profiles:

Education

Venkata Praveen Kumar Kaluvakuri holds a Master of Science in Computer Science from the University of Central Missouri and a Bachelor of Technology from Jawaharlal Nehru Technological University Kakinada, India. He is also an Oracle Certified Java Programmer, adding a significant credential to his extensive academic background.

Professional Experience

Venkata Praveen Kumar Kaluvakuri, a seasoned software engineer with over 13 years of experience, specializes in Java, cloud environments, and AI/ML integration. At Enterprise Fleet Management, he developed high-performance UI pages, migrated applications to AWS, and implemented microservices. At MasterCard, he contributed to developing RESTful services and automation testing. His work at Wells Fargo involved enhancing UIs and developing web services, while his tenure at Vienna Infosys focused on J2EE design patterns and web services. With expertise across multiple frameworks and technologies, Praveen excels in delivering robust, scalable software solutions.

Research Interest

Venkata Praveen Kumar Kaluvakuri’s research interests lie in the intersection of software development and emerging technologies. He is particularly focused on the integration of AI/ML techniques in cloud environments to solve complex cybersecurity problems. Additionally, he is interested in optimizing performance in web-based applications, leveraging functional programming, and exploring the potential of serverless architectures in AWS. Praveen is also keen on advancing the use of microservices and developing innovative solutions for enterprise-level challenges, constantly seeking to enhance the efficiency and security of software systems.

Award and Honors

Venkata Praveen Kumar Kaluvakuri has earned several awards and honors throughout his career, highlighting his dedication and excellence in the field of software development. He is an Oracle Certified Java Programmer, a testament to his expertise in Java programming. His outstanding performance and contributions to project success have earned him the Employee of the Month award multiple times at Enterprise Fleet Management. At MasterCard, he was honored with the Outstanding Project Award for leading and completing a critical project on time and within budget. Additionally, he received the Innovation Excellence Award at Wells Fargo for developing innovative solutions and improving the efficiency of web-based applications. His exceptional teamwork and collaboration on high-impact projects at Computer Sciences Corporation, India, earned him the Team Excellence Award.

Research Skills

Venkata Praveen Kumar Kaluvakuri has developed a robust set of research skills over his career in software development and IT solutions. With a keen focus on problem-solving and analysis, he excels in dissecting complex issues and devising innovative solutions. His expertise extends to experimental design, where he applies rigorous methodologies to evaluate software performance, scalability, and reliability. Venkata is adept at data analysis, employing advanced tools to extract valuable insights from large datasets, crucial for optimizing software functionalities and user experiences. Additionally, he maintains a strong grasp of current research trends through meticulous literature reviews, ensuring he remains at the forefront of software development methodologies, frameworks, and technologies. With strong technical writing abilities, Venkata effectively communicates his findings, prepares detailed technical reports, and contributes to scholarly publications. His collaborative spirit and adeptness in cross-functional teamwork further underscore his ability to drive innovation and project success in diverse professional environments.

Publications

  1. SECURING THE SERVERLESS FRONTIER: A JAVA FULL STACK PERSPECTIVE ON AI/ML INTEGRATION IN THE CLOUD
    • Authors: VP Peta, SKR Khambam, VPK Kaluvakuri
    • Year: 2023
    • Journal: International Journal For Advanced Research In Science & Technology
    • Volume: 13
    • Issue: 07
    • Citations: Not specified
  2. AI-DRIVEN ROOT CAUSE ANALYSIS FOR JAVA MEMORY LEAKS
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2022
    • Journal: International Journal For Innovative Engineering and Management Research
    • Volume: 12
    • Issue: Not specified
    • Citations: Not specified
  3. The Cloud as A Financial Forecast: Leveraging AI For Predictive Analytics
    • Authors: SKR Khambam, VPK Kaluvakuri, VP Peta
    • Year: 2022
    • Journal: International Journal For Recent Developments In Science & Technology
    • Volume: 6
    • Issue: 08
    • Citations: Not specified
  4. Serverless Java: A Performance Analysis for Full-Stack AI-Enabled Cloud Applications
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2021
    • Journal: International Journal For Recent Developments in Science & Technology
    • Volume: 5
    • Issue: 05
    • Citations: Not specified

 

 

 

Vilas Gaikwad | Computer Science | Best Researcher Award

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Dr. Vilas Gaikwad | Computer Science | Best Researcher Award

Head of department at Trinity College of Engineering and Research Pune, India.

Dr. Vilas Shivaji Gaikwad is a distinguished academic and researcher with a robust background in Computer Science and Engineering. He earned his PhD from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU), specializing in image processing, data mining, embedded systems, and IoT. With over a decade of experience in academia, Dr. Gaikwad currently serves as an Assistant Professor and PG Coordinator at JSPM Narhe Technical Campus in Pune. His professional journey includes roles at Sanjeevan Engineering and Technology Institute and Walchand College of Engineering, where he contributed significantly to research and education. Dr. Gaikwad’s research focuses on histopathological image analysis for breast lesion classification, supported by projects funded by various institutions. He has published extensively, including 47 papers in international journals and multiple books on embedded systems and IoT. His work has earned him numerous awards, including appreciation for his teaching excellence and certifications from IBM and Cambridge. Dr. Gaikwad’s contributions to the academic and research communities highlight his dedication to advancing technology and education.

Professional Profiles:

Education

Dr. Vilas Shivaji Gaikwad holds a Ph.D. in Computer Science & Engineering from Dr. BAM University, Aurangabad, completed in May 2021. His dissertation focused on developing a novel approach for classifying intraductal breast lesions using histopathological image analysis. He earned his M.Tech in Computer Science & Engineering from Walchand College of Engineering, Sangli, under Shivaji University in August 2012, where he graduated with first-class honors. Additionally, he completed his B.E. in Computer Science & Engineering at TPCT COE, Osmanabad, affiliated with Dr. BAM University, in August 2010, achieving distinction in his studies.

Professional Experience

Dr. Vilas Shivaji Gaikwad has accumulated extensive professional experience over his career. Since June 2014, he has served as an Assistant Professor and PG Coordinator of Computer Engineering at JSPM Narhe Technical Campus in Pune, where he has contributed for nearly seven years. Prior to this, he worked as an Assistant Professor at Sanjeevan Engineering and Technology Institute, Panhala, Kolhapur, from July 2012 to June 2014, and as a Research Assistant at Walchand College of Engineering, Sangli, from August 2010 to July 2012. His academic contributions are further enriched by his recognition as a PG teacher from Savitribai Phule Pune University and permanent UG approval. Overall, Dr. Gaikwad has more than ten years of experience in the field of Computer Science & Engineering.

Research Interest

Dr. Vilas Shivaji Gaikwad’s research interests encompass a diverse array of cutting-edge topics within the field of Computer Science and Engineering. He is particularly focused on Image Processing, exploring techniques to enhance and interpret visual data through computational means. His work in Data Mining delves into extracting valuable insights from vast datasets, contributing to advancements in predictive analytics and decision-making processes. Additionally, Dr. Gaikwad is deeply involved in Embedded Systems and the Internet of Things (IoT), investigating innovative solutions for integrating hardware and software to create intelligent, interconnected devices. His Ph.D. research, titled “A Novel Approach of Classification for Intraductal Breast Lesions using Histopathological Image Analysis,” underscores his commitment to applying computational techniques to critical real-world problems, highlighting the interdisciplinary nature of his work and its potential impact on healthcare.

Award and Honors

Dr. Vilas Shivaji Gaikwad has received numerous awards and honors throughout his academic and professional career. He qualified for the GATE 2010 exam, showcasing his strong foundation in engineering principles. He is IBM RFT Certified and holds a Cambridge Certification as a Linux Associate, affirming his technical expertise. Dr. Gaikwad has been recognized multiple times for his excellence in teaching, earning accolades such as “Best Teacher” and receiving appreciation for achieving 100% results in his courses. His scholarly contributions have garnered significant attention, with his publications amassing over 19,000 reads on ResearchGate, a testament to his influence and impact in the research community. These recognitions underscore Dr. Gaikwad’s dedication to advancing knowledge, fostering academic excellence, and his significant contributions to the field of Computer Science and Engineering.

Research Skills

Dr. Vilas Shivaji Gaikwad possesses a robust set of research skills, developed through extensive academic and professional experiences. His expertise spans Image Processing, Data Mining, Embedded Systems, and IoT, enabling him to design advanced systems integrating hardware and software. His proficiency in Histopathological Image Analysis is evidenced by his Ph.D. research on classifying intraductal breast lesions, crucial for improving diagnostic tools and medical imaging techniques. Dr. Gaikwad’s work in wireless sensor networks demonstrates his capability in real-time data analysis and system design, particularly in predictive systems for natural disaster management. His skills in Research Project Management and Grant Writing are proven by his successful project funding and consultancy work. These abilities highlight his competence in leading innovative research initiatives and securing necessary resources, making significant contributions to the fields of computer science and engineering.

Publications

  • Title: Characterization of behavioral and endocrine effects of LSD on zebrafish Authors: L. Grossman, E. Utterback, A. Stewart, S. Gaikwad, K.M. Chung, C. Suciu, … Journal: Behavioural Brain Research Year: 2010 Citations: 291
  • Title: Steganography techniques: A review Authors: M.P.R. Kamble, M.P.S. Waghamode, M.V.S. Gaikwad, M.G.B. Hogade Journal: International Journal of Engineering Year: 2013 Citations: 18
  • Title: Human Monkeypox 2022 virus: Machine learning prediction model, outbreak forecasting, visualization with time-series exploratory data analysis Authors: Y.H. Bhosale, S.R. Zanwar, A.T. Jadhav, Z. Ahmed, V.S. Gaikwad, K.S. Gandle Conference: 2022 13th International Conference on Computing Communication and Networking Year: 2022 Citations: 12
  • Title: Molecular imaging to the surgeons rescue: Gallium-68 DOTA-exendin-4 positron emission tomography-computed tomography in pre-operative localization of insulinomas Authors: U.N. Pallavi, V. Malasani, I. Sen, P. Thakral, S. Dureja, V. Pant, V.S. Gaikwad, … Journal: Indian Journal of Nuclear Medicine Year: 2019 Citations: 10
  • Title: Enhanced whale optimization algorithm for the eye movement recognition Authors: V.S. Gaikwad Journal: Journal of Computational Mechanics, Power Systems and Control Year: 2021 Citations: 6
  • Title: One versus all classification in network intrusion detection using decision tree Authors: V. Gaikwad, P.J. Kulkarni Journal: International Journal of Scientific Research Publications Year: 2012 Citations: 6
  • Title: Novel approach for data stream clustering through micro-clusters shared Density Authors: P.V. Desai, V.S. Gaikawad Journal: International Journal of Computer Sciences and Engineering Year: 2019 (assumed for consolidation) Citations: 2
  • Title: Unveiling Market Dynamics through Machine Learning: Strategic Insights and Analysis Authors: V.S. Gaikwad, S.S. Deore, G.M. Poddar, R.V. Patil, D.S. Hirolikar, M.P. Borawake, … Journal: International Journal of Intelligent Systems and Applications in Engineering Year: 2024 Citations: 1
  • Title: Review of the state-of-the-art methods for privacy preserved classification in outsourced environment Authors: V.S. Gaikwad, K.H. Walse, V.M. Thakare Conference: 2020 International Conference on Innovative Trends in Information Technology Year: 2020 Citations: 1
  • Title: A Survey on Social Circle Influenced Personalized Recommendation System Authors: V.J. Kadam, V.S. Gaikwad Journal: International Journal of Science and Research Year: 2015 Citations: 1

 

Md. Monirul Islam | Computer Science and Engineering | Best Researcher Award

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Assist Prof Dr. Md. Monirul Islam | Computer Science and Engineering | Best Researcher Award

Assistant Professor of Daffodil International University, Bangladesh.

Md. Monirul Islam is an accomplished academic professional with a robust background in computer science and engineering. Holding a Master’s degree from Dhaka University of Engineering & Technology and a Bachelor’s degree from Pabna University of Science and Technology, he brings a wealth of knowledge and expertise to his role. Currently serving as an Assistant Professor at Daffodil International University, he previously held positions at various renowned institutions in Bangladesh. Beyond teaching, Md. Monirul is actively involved in research, with interests spanning machine learning, IoT, deep learning, and data science. He has a notable publication record in esteemed journals and has presented his work at numerous international conferences. Md. Monirul’s dedication to academia, coupled with his strong research skills, positions him as a valuable contributor to the field of computer science.

Professional Profiles:

Education

Md. Monirul Islam pursued his academic journey with dedication and achieved notable qualifications in the field of computer science and engineering. He completed his Master of Computer Science from Dhaka University of Engineering & Technology, Gazipur, Bangladesh, in 2021, demonstrating exceptional academic performance with a result of 3.42/4.00. Prior to his master’s degree, Md. Monirul Islam obtained his Bachelor’s degree in Computer Science and Engineering from Pabna University of Science and Technology, Bangladesh, in 2017. During this period, he maintained a remarkable academic record with a result of 3.46/4.00. These educational accomplishments serve as a testament to Md. Monirul Islam’s commitment to academic excellence and his passion for advancing his knowledge and skills in computer science and engineering.

Professional Experience

Md. Monirul Islam, an Assistant Professor at Daffodil International University, Bangladesh, possesses a rich academic background and a dedication to shaping future software engineers. With a Master’s in Computer Science from Dhaka University of Engineering & Technology and a Bachelor’s in Computer Science and Engineering from Pabna University of Science and Technology, Md. Monirul has a solid foundation in his field. His teaching experience includes roles at various Bangladeshi universities, including adjunct faculty positions and senior lecturer roles. Beyond teaching, Md. Monirul is actively involved in research, with publications in reputable journals and conferences. His leadership roles, including heading the Rising Research Lab at the University of Information Technology and Sciences, underscore his commitment to academic excellence and advancement.

Research Interest

Md. Monirul Islam’s research interests span various aspects of computer science, with a particular focus on cutting-edge technologies. He is keenly interested in Internet of Things (IoT) applications, machine learning, data science, and deep learning. His research explores the intersection of these fields, aiming to develop innovative solutions for real-world problems. Additionally, Md. Monirul is passionate about computer vision, natural language processing, and artificial intelligence, seeking to advance the capabilities of these technologies for practical applications. His diverse research portfolio reflects his commitment to exploring emerging trends and pushing the boundaries of knowledge in the field of computer science.

Award and Honors

Md. Monirul Islam has received several prestigious awards and honors in recognition of his academic achievements and contributions to research. He was awarded the Research & Publication Award in 2022 by Uttara University, Bangladesh, highlighting his excellence in scholarly work. Additionally, he received the M.Sc. Thesis Paper Scholarship from Woosong University, South Korea, in 2021, showcasing his outstanding research contributions at an international level. Moreover, Md. Monirul has been recognized with Merit Scholarships from the Bangladesh Government and the United Group based on his exceptional academic performance during his educational journey. These accolades underscore his dedication to academic excellence and his significant contributions to the field of computer science.

Research Skills

Md. Monirul Islam possesses a diverse set of research skills that enable him to excel in his academic pursuits. Proficient in Endnote, LaTeX, MATLAB, and Python, he demonstrates a strong command of various research tools essential for data analysis and scientific inquiry. His expertise extends to deep learning, machine learning, data science, and IoT (Internet of Things), allowing him to conduct advanced research in these domains. With a keen eye for detail and a systematic approach, Md. Monirul employs these skills to tackle complex research challenges and produce high-quality outcomes. His proficiency in research methodologies and analytical techniques empowers him to make meaningful contributions to his field and advance knowledge in computer science and related disciplines.

Publications

  1. Title: Development of Computer-Based Experiment Set on Simple Harmonic Motion of Mass on Springs
    • Author: P. Musik
    • Journal: Turkish Online Journal of Educational Technology-TOJET
    • Volume: 16
    • Issue: 4
    • Pages: 1-11
    • Year: 2017
    • Citations: 13
  2. Title: Real-Time Graphing of Simple Harmonic Motion of Mass on Springs with an Arduino Based on an Experiment Set for Teaching and Learning Physics
    • Authors: W. Sukmak, P. Musik
    • Journal: Turkish Online Journal of Educational Technology-TOJET
    • Volume: 21
    • Issue: 1
    • Pages: 114-123
    • Year: 2022
    • Citations: 5
  3. Title: Development of an automated water management system in orchards in southern Thailand
    • Author: P. Musik
    • Journal: International Journal on Smart Sensing and Intelligent Systems
    • Volume: 13
    • Issue: 1
    • Pages: 1-7
    • Year: 2020
    • Citations: 3
  4. Title: Two-dimensional lattice Boltzmann method for cavity flow simulation
    • Authors: P. MUSIK, K. JAROENSUTASINEE
    • Journal: Walailak Journal of Science and Technology (WJST)
    • Volume: 1
    • Issue: 1
    • Pages: 53-70
    • Year: 2004
    • Citations: 3
  5. Title: Development of a computer-based simple pendulum experiment set for teaching and learning physics
    • Authors: W. Sukmak, P. Musik
    • Journal: International Journal on Smart Sensing and Intelligent Systems
    • Volume: 14
    • Issue: 1
    • Pages: 1-8
    • Year: 2021
    • Citations: 2
  6. Title: Development of computer-based experimental set in physics for free-falling object
    • Author: P. Musik
    • Conference: The European Conference on Education 2014
    • Pages: 309-322
    • Year: 2014
    • Citations: 1
  7. Title: Large-scale simulation using parallel computing toolkit and server message block
    • Authors: P. Musik, K. Jaroensutasinee
    • Journal: WSEAS TRANSACTIONS ON MATHEMATICS
    • Volume: 6
    • Issue: 2
    • Pages: 369
    • Year: 2007
    • Citations: 1
  8. Title: A prototype pond water management system (dissolved oxygen, pH and temperature) for giant freshwater prawn farming in Pak Phanang, Southern Thailand
    • Authors: P. Songpayome, S. Sutin, W. Sukmak, U. Wanthong, N. Limchoowong, P. Musik
    • Journal: Heliyon
    • Year: 2024
  9. Title: Analysis of Areas at Risk of Fire in Khuan Kreng Peat Swamp Forest in South Thailand
    • Authors: U. Wanthong, P. Musik, S. Ruang-on, M. Pollar, R. Phetkhong, P. Sricharoen
    • Journal: International Journal of Science and Innovative Technology
    • Volume: 6
    • Issue: 2
    • Pages: 38-52
    • Year: 2023
  10. Title: Model Development in Direction of Water Flow on the Surface DEM for Flood Forecasting and Early Warning of Nakhon Si Thammarat Province
    • Authors: E. Petthongduang, V. Jaroenpuntaruk, P. Musik
    • Journal: Wichcha Journal Nakhon Si Thammarat Rajabhat University
    • Volume: 37
    • Issue: 2
    • Pages: 13-23
    • Year: 2018