Mithun Sarker | Artificial Intelligence-Machine Learning | Fast Cited Article Award

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Mr. Mithun Sarker | Artificial Intelligence-Machine Learning | Fast Cited Article Award

Lead Software Developer at Iron Horse Terminals LLC, United States

Summary:

Mr. Mithun Sarker is an accomplished software engineer specializing in full-stack development, scalable backend solutions, and AI-driven systems. With over a decade of professional experience, he has contributed to diverse industries, including transportation, social networking, and IoT, by building robust, user-focused applications. Mithun is skilled in Node.js, Python, Kotlin, MongoDB, and AWS, with a strong passion for research in AI and IoT technologies.

Professional Profile:

👩‍🎓Education:

  • Master of Science in Computer Science
    Lamar University, USA (2022)
  • Bachelor of Science in Computer Science and Engineering
    Khulna University of Engineering and Technology, Bangladesh (2013)

🏢 Professional Experience:

  • Lead Software Engineer, Iron Horse Terminals LLC (08/2022 – Present)
    Leads the development of a rail yard management system, designing backend APIs using Node.js and MongoDB, managing AWS infrastructure, and developing frontend applications for web and Android platforms.
  • Senior Software Engineer, W3Engineers Ltd. (11/2017 – 10/2020)
    Spearheaded projects like Yumi, an AI-powered dating app, and Telemesh, an off-grid messaging platform funded by UNICEF. Developed AI-based features, chatbots, and mesh networking solutions, while also creating graph-based ad networks using Amazon Neptune.
  • Software Engineer, SurroundApps Ltd. (06/2016 – 11/2017)
    Focused on live video and audio streaming applications, integrating GoPro connectivity with Android devices, and creating backend systems using Node.js and MongoDB.
  • Programmer, Arobil Limited (09/2015 – 06/2016)
    Developed music streaming and car parking management systems, emphasizing backend efficiency and user-centric design.
  • Software Engineer, Codemen Solution Inc. (07/2014 – 08/2015)
    Delivered comprehensive solutions, including real estate websites and employee management systems, leveraging WordPress and the LAMP stack.

Research Interests:

Mithun’s research focuses on AI-driven interactive systems, backend scalability, and IoT-based applications. His work includes advancements in image classification, chatbots, and mesh networking, with a commitment to enhancing real-world usability through technological innovation.

Author Metrics:

  • Published innovative projects involving AI-based chatbots, ad networks, and IoT applications.
  • Developed UNICEF-funded solutions like Telemesh, showcasing expertise in socially impactful technologies.
  • Certified in “Machine Learning with Python” by IBM through Coursera, reflecting his continuous learning and application of advanced AI methods.

Top Noted Publication:

1. Revolutionizing Cybersecurity: Unleashing the Power of Artificial Intelligence and Machine Learning for Next-Generation Threat Detection

  • Authors: A. Manoharan, M. Sarker
  • Journal/Proceedings: International Research Journal of Modernization in Engineering Technology
  • Year of Publication: 2022
  • Citations: 100
  • Abstract: The paper delves into how AI and machine learning can redefine cybersecurity by introducing advanced threat detection systems. It discusses autonomous threat response, predictive models, and their practical implications in enterprise security.

2. Revolutionizing Healthcare: The Role of Machine Learning in the Health Sector

  • Author: M. Sarker
  • Journal/Proceedings: Journal of Artificial Intelligence General Science (JAIGS)
  • Year of Publication: 2024
  • Citations: 34
  • Abstract: Focuses on the integration of machine learning in healthcare for enhanced diagnostics, personalized medicine, and healthcare management. The work outlines future trends and challenges in adopting ML technologies in the medical field.

3. Towards Precision Medicine for Cancer Patient Stratification by Classifying Cancer Using Machine Learning

  • Author: M. Sarker
  • Journal/Proceedings: Journal of Science & Technology
  • Volume/Issue: Vol. 3, Issue 3
  • Pages: 1-30
  • Year of Publication: 2022
  • Citations: 28
  • Abstract: Explores how machine learning techniques can help in classifying various types of cancer for precision medicine. It proposes new stratification algorithms based on genetic and phenotypic data.

4. Cloud-Based Reinforcement Learning for Autonomous Systems: Implementing Generative AI for Real-time Decision Making and Adaptation

  • Authors: K. Krishna, A. Mehra, M. Sarker, L. Mishra
  • Journal/Proceedings: Iconic Research and Engineering Journals
  • Year of Publication: 2023
  • Citations: 27
  • Abstract: The paper presents a novel integration of cloud-based reinforcement learning with generative AI to enable real-time decision-making and adaptability in autonomous systems. Applications span from robotics to IoT-enabled devices.

5. Assessing the Integration of AI Technologies in Enhancing Patient Care Delivery in US Hospitals

  • Author: M. Sarker
  • Journal/Proceedings: Journal of Knowledge Learning and Science Technology
  • ISSN: 2959-6386 (online)
  • Year of Publication: 2023
  • Citations: 11
  • Abstract: An analytical study evaluating the integration of AI technologies in US hospitals, emphasizing their impact on patient care efficiency, diagnostics, and overall healthcare outcomes.

Conclusion:

Mr. Mithun Sarker is a strong candidate for the Research for Fast Cited Article Award, given his remarkable achievement of a highly cited article in a short timeframe. His research reflects both depth and relevance in artificial intelligence and machine learning, with impactful contributions in cybersecurity, healthcare, and IoT-based applications.

Recommendation: With an emphasis on diversifying publication venues and fostering high-profile collaborations, Mithun can further solidify his standing as a researcher whose work drives both academic and practical innovation.

 

 

E.Laxmi Lydia | Computer Science | Best Researcher Award

Posted on by Best Paper Award

Prof. E.Laxmi Lydia, Computer Science, Best Researcher Award

Professor at Velagapudi Ramakrishna Siddhartha Engineering College, Siddhartha Academy of Higher Education (SAHE), India

Summary:

Dr. E. Laxmi Lydia is a seasoned educator and researcher with over 20 years of experience in teaching, training, and research. Currently serving as a Professor and Dean of R&D at Vignan’s Institute of Information Technology, she has significantly contributed to the academic and research community. Dr. Lydia is recognized for her exceptional interpersonal skills, commitment to student development, and active involvement in curriculum design and institutional accreditation processes. Her extensive expertise and numerous accolades, including the Best Researcher Award for five consecutive years, highlight her dedication to advancing knowledge and fostering innovation in the field of computer science and engineering.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Science and Engineering (Year not specified)

Master of Computer Applications (MCA) (Year not specified)

Bachelor of Science (B.Sc.) (Year not specified)

🏢 Professional Experience:

Professor & Dean of R&D Vignan’s Institute of Information Technology (A), July 2019 – Present
Dr. E. Laxmi Lydia leads the Research and Development department, overseeing various research initiatives and fostering collaborations both within and outside the institution. She plays an integral role in curriculum development and significantly contributes to the institution’s growth and academic excellence.

Associate Professor Vignan’s Institute of Information Technology (A), 2015 – 2019
In her tenure as an Associate Professor, Dr. Lydia taught both undergraduate and postgraduate courses, guided numerous research projects, and actively participated in various academic committees. Her efforts were pivotal in advancing the research capabilities and academic standards of the institution.

Associate Professor Raghu Engineering College, 2011 – 2015
At Raghu Engineering College, Dr. Lydia conducted lectures, supervised research activities, and contributed significantly to the academic community through her publications and participation in conferences. Her work helped in elevating the research profile and educational quality of the college.

Assistant Professor Ravindra and Rajendra PG College for MCA, 2003 – 2009
During her tenure as an Assistant Professor, Dr. Lydia was responsible for teaching MCA students, developing comprehensive course materials, and mentoring students. Her dedication to teaching and mentorship helped shape the careers of many students in the field of computer science and engineering.

Honors & Certifications:

  • Oracle Certified (2009)
  • Microsoft Certified Solution Developer (MCSD)
  • Outcome-Based Education (OBE) Certified
  • Engineering Education Certification
  • EPICS-Engineering Projects in Community Services Certified
  • Reviewer for JEET Scopus Journal
  • Best Researcher Award (2018, 2019, 2020, 2021, 2022) at Vignan’s Institute of Information Technology
  • Distinguished Faculty in CSE-2021 by Ambitions, an educational entity

Professional Affiliations:

  • Member of the Board of Studies (BOS) at Vignan’s Institute of Information Technology
  • Member of the International Accreditation Council of Quality Education & Research (IACQER)
  • Member of the Computer Society of India

Research Interests:

Dr. Lydia’s research interests encompass a wide range of topics within computer science and engineering, including but not limited to:

  • Artificial Intelligence and Machine Learning
  • Data Science and Big Data Analytics
  • Cybersecurity and Information Assurance
  • Software Engineering and Development
  • Internet of Things (IoT) and Smart Systems

Top Noted Publication:

An Optimal Least Square Support Vector Machine Based Earnings Prediction of Blockchain Financial Products

  • Authors: M Sivaram, EL Lydia, IV Pustokhina, DA Pustokhin, M Elhoseny, GP Joshi
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 120321-120330
  • Year: 2020
  • Citations: 97

Concept of Electronic Document Management System (EDMS) as an Efficient Tool for Storing Document

  • Authors: ATR Rosa, IV Pustokhina, EL Lydia, K Shankar, M Huda
  • Journal: Journal of Critical Reviews
  • Volume: 6
  • Issue: 5
  • Pages: 85-90
  • Year: 2019
  • Citations: 91

Synergic Deep Learning Model–Based Automated Detection and Classification of Brain Intracranial Hemorrhage Images in Wearable Networks

  • Author: EL Lydia
  • Journal: Personal and Ubiquitous Computing
  • Year: 2022
  • Citations: 90

Optimal Deep Learning Based Image Compression Technique for Data Transmission on Industrial Internet of Things Applications

  • Authors: B Sujitha, VS Parvathy, EL Lydia, P Rani, Z Polkowski, K Shankar
  • Journal: Transactions on Emerging Telecommunications Technologies
  • Volume: 32
  • Issue: 7
  • Article: e3976
  • Year: 2021
  • Citations: 84

Data Encryption for Internet of Things Applications Based on Catalan Objects and Two Combinatorial Structures

  • Authors: MH Saračević, SZ Adamović, VA Miškovic, M Elhoseny, ND Maček, EL Lydia
  • Journal: IEEE Transactions on Reliability
  • Volume: 70
  • Issue: 2
  • Pages: 819-830
  • Year: 2020
  • Citations: 83