Mehrdad Esmaeilipour | Engineering | Academic Brilliance Award

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Mr. Mehrdad Esmaeilipour | Engineering | Academic Brilliance Award

Mr. Mehrdad Esmaeilipour | Engineer | Arya Plasma Gostar Pars | Iran

Mehrdad Esmaeilipour is a visionary Electronics Engineer with a strong dedication to environmental innovation and social impact. As Senior Electronics Engineer at Arya Plasma Gostar Pars (Plasma Systems), he spearheads the development of advanced air and water purification systems utilizing cutting-edge technologies. His expertise spans from integrated circuit design to sustainable engineering solutions that address global environmental challenges. Mehrdad is also the founder of Parsa Pardazesh Booshehr Sanaat Company (PPBS Co.), an enterprise providing employment opportunities for students and contributing to local economic development. His ingenuity led to the conceptualization of an AI-powered smart bracelet for the visually impaired, reinforcing his commitment to inclusive technology. With notable achievements in project leadership, quality control, and team mentorship, he has earned recognition as an emerging entrepreneur. Through his initiatives, Mehrdad continues to merge technology with human values, focusing on real-world applications that enhance both environmental sustainability and quality of life.

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Education

Mehrdad Esmaeilipour holds a solid academic foundation in Electronics Engineering, equipping him with the theoretical knowledge and technical skills essential for developing groundbreaking solutions in environmental and health technologies. He pursued his engineering education from the Islamic Azad University, where he was actively involved in academic research, applied electronics, and robotics. During his studies, he laid the groundwork for his future innovations by engaging in projects focused on circuit design, automation systems, and digital health applications. His academic experience also involved collaborative learning, enabling him to work with diverse teams and explore multidisciplinary approaches to complex engineering problems. Beyond his degree, Mehrdad has remained committed to continuous professional development through industry certifications and hands-on work in real-world projects. His educational journey reflects a consistent passion for using science and technology to serve humanity and the environment—an ethos he carries forward in both his professional and entrepreneurial endeavors.

Experience 

Mehrdad Esmaeilipour brings over seven years of rich, hands-on experience in electronics and environmental engineering. Currently, he serves as the Senior Electronics Engineer at Arya Plasma Gostar Pars Company, where he leads a team responsible for the production and innovation of advanced air and water purification devices. His responsibilities encompass circuit design, quality assurance, project supervision, and environmental system integration using plasma and microcontroller technologies. Mehrdad has overseen several impactful projects, including intelligent odor removal systems, automated water filtration circuits, and microbial sea water purification for Persian Gulf University. He is also a passionate entrepreneur, having founded PPBS Co., which focuses on electronics and IT services, simultaneously offering employment for university students. His technical proficiency in tools like Altium Designer and Eagle, combined with leadership and marketing roles, makes him a multifaceted professional. Through his engineering leadership, he continually works toward scalable, eco-friendly innovations with a significant community and industrial impact.

Awards and Honors 

Mehrdad Esmaeilipour has earned notable recognition for his innovative contributions to green technology and social entrepreneurship. His work has been consistently acknowledged through patents, large-scale industrial deployments, and entrepreneurial success. Among his standout achievements is the development of a patented system for treating spent caustic and disulfide oil wastewater, showcasing his ingenuity in sustainable waste management. Mehrdad’s leadership in designing intelligent odor removal and air purification systems has had a tangible environmental impact, especially in urban infrastructure projects in Bandar Abbas and Bushehr. His initiative to develop an AI-based smart bracelet for visually impaired individuals further highlights his drive to create inclusive, socially responsible technologies. Recognized for founding PPBS Co., he has been celebrated for fostering student employment and technological advancement in the region. His combination of innovation, leadership, and humanitarian focus positions him as a respected figure in both engineering and community development spheres.

Research Focus 

Mehrdad Esmaeilipour’s research focus lies at the intersection of electronics engineering, environmental sustainability, and digital health innovation. His primary areas of investigation include smart circuit design for plasma-based air and water purification, energy-efficient integrated systems, and artificial intelligence applications in assistive devices. He is particularly driven to engineer practical solutions for wastewater treatment and microbial purification using cold plasma technology. In parallel, Mehrdad explores embedded systems for real-time environmental monitoring and smart health tools, like wearable devices that aid the visually impaired. He combines engineering design, microcontroller programming, and sensor integration to produce scalable solutions that reduce environmental pollution and enhance life quality. His research extends to community-centric applications, ensuring that technological advancements are not only innovative but also accessible and socially impactful. Through multidisciplinary collaboration and continuous learning, Mehrdad aims to redefine sustainable technology and promote a greener, more inclusive future through research-led engineering.

Publication Titles

  • Treatment of Spent Caustic and Disulfide Oil Wastewater of Oil and Gas – Patented Innovation

  • Design and Installation of Intelligent Air Purification Systems – Bushehr Province Pumping Station (2022)

  • Implementation of Intelligent Odor Removal Using Cold Plasma – Hormuz, Bandar Abbas (2021)

  • Closed Circuit Water System for Pen/Marker Factory – Dir Port, Bushehr (2020)

  • Smart Air Purification Systems for Pumping Stations One & Three – Bandar Abbas (2018–2019)

  • Microbial Sea Water Purification Device – Persian Gulf University, Bushehr (2018)

Conclusion

Mehrdad Esmaeilipour stands out as a multifaceted electronics engineer with a deep-rooted passion for environmental and humanitarian technology. His impressive track record, which spans patented wastewater systems to smart assistive devices, exemplifies his commitment to innovation that serves both industry and society. Mehrdad’s ability to bridge advanced research with real-world application, along with his entrepreneurial spirit and leadership, make him a compelling candidate for the Research for Engineering Excellence Award. His work embodies the essence of forward-looking engineering—sustainable, inclusive, and transformative.

Karthik K | Engineering | Best Researcher Award

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Dr. Karthik K | Engineering | Best Researcher Award

Dr. Karthik K, Vellore Institute of Technology, Vellore, India

Karthik K is an accomplished academician and researcher specializing in computer vision, deep learning, and medical imaging. With over a decade of experience in teaching and research, he has contributed significantly to the field of artificial intelligence in healthcare applications. Currently serving as an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, he has previously worked at St. Joseph Engineering College and NITK, Surathkal. His research is backed by strong academic credentials, numerous publications, and active collaborations with esteemed institutions like NITK, NITPy, and VIT AP. Karthik has received the VIT Seed Grant for AI-driven cricket commentary generation and has applied for prestigious research grants. His contributions to automated medical scan quality enhancement and content-based medical image retrieval have been widely recognized. An active IEEE and IAENG member, he continues to drive innovation in AI and deep learning for intelligent healthcare applications.

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Evaluation of Dr. Karthik K for the Research for Best Researcher Award

Dr. Karthik K, currently an Assistant Professor Sr. Grade I at the Vellore Institute of Technology (VIT), has demonstrated strong research contributions in the fields of computer vision, deep learning, and medical imaging. His research spans content-based medical image retrieval, automated radiography report retrieval, and deep learning-based medical scan quality enhancement, which have direct applications in intelligent healthcare systems. With six journal publications in SCI and Scopus-indexed journals, along with 145 citations, his academic impact is notable.

In addition to his research, Dr. Karthik has published book chapters, submitted a patent, and collaborated with reputed institutions such as NITK, NITPy, and VIT AP. His contributions to AI-driven healthcare applications, particularly in medical image classification and enhancement, showcase his innovative approach to solving real-world medical challenges. Furthermore, his ongoing VIT Seed Grant project on AI-generated cricket commentary and a DST-SURE research grant under review indicate his continued commitment to advancing AI applications across multiple domains.

🎓 Education 

Karthik K has built a strong academic foundation in the fields of computer science and engineering. He pursued his Bachelor’s and Master’s degrees with a focus on artificial intelligence, deep learning, and medical imaging. His research interests led him to work as a Research Fellow at NITK Surathkal, where he contributed to the DST-ECR-funded project on deep learning frameworks for intelligent healthcare applications. During his tenure, he gained extensive expertise in content-based medical image retrieval and automated medical scan enhancements. His academic journey has been marked by continuous learning and contributions to research, with publications in renowned journals and conferences. Karthik’s passion for AI-driven innovations is evident in his scholarly work, patents, and ongoing research projects. His educational background has laid the foundation for his teaching and research career, equipping him with the knowledge and skills to drive advancements in AI, deep learning, and medical imaging applications.

💼 Professional Experience 

Karthik K brings over 10 years of experience in academia and research. He is currently an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, where he specializes in AI, computer vision, and medical imaging. Prior to this, he was an Assistant Professor at St. Joseph Engineering College, Vamanjoor, Mangaluru (2020–2023) and an Assistant Lecturer at NITK, Surathkal (2015–2017). His professional journey includes a research fellowship at NITK Surathkal, where he worked on a DST-ECR-funded project developing deep learning frameworks for intelligent healthcare. Karthik has contributed significantly to AI-driven innovations, collaborating with institutions like NITK, NITPy, and VIT AP. His expertise extends to consultancy projects, editorial appointments, and patents. He has published extensively in SCI and Scopus-indexed journals and remains actively involved in advancing deep learning applications for medical imaging, making significant contributions to academia and industry collaborations.

🏅 Awards and Recognition

Karthik K has been recognized for his contributions to artificial intelligence and medical imaging research. He received the VIT Seed Grant (2023–2025) for his innovative project on AI-driven cricket commentary generation. Additionally, he has applied for the DST-SURE research grant, currently under review. His work in content-based medical image retrieval and deep neural networks for healthcare applications has been acknowledged in multiple international journals and conferences. Karthik has published several book chapters with ISBN numbers, showcasing his expertise in AI and deep learning. He actively collaborates with esteemed institutions and has been invited for editorial appointments in reputed journals. His research contributions have earned him membership in professional organizations such as IEEE and IAENG. With over 145 citations in SCI and Scopus-indexed publications, his work continues to impact the field of intelligent healthcare applications. His commitment to research excellence makes him a strong contender for prestigious awards.

🌍 Research Skills On Engineering

Karthik K possesses extensive research skills in computer vision, deep learning, and medical imaging. His expertise includes developing AI-driven frameworks for intelligent healthcare applications, enhancing medical scan quality, and implementing deep neural networks for automated medical image retrieval. He has successfully led research projects, including a DST-ECR-funded initiative at NITK Surathkal and ongoing consultancy projects. His ability to integrate AI with real-world healthcare challenges has resulted in significant innovations such as ViewNet for scan orientation and automated radiography report retrieval. Karthik’s research has been published in SCI and Scopus-indexed journals, contributing to the broader scientific community. He is skilled in grant writing, patent filing, and interdisciplinary collaborations, with active partnerships with NITK, NITPy, and VIT AP. His research acumen, combined with hands-on experience in deep learning and AI applications, positions him as a leader in advancing intelligent healthcare solutions through cutting-edge technology.

 📖 Publication Top Notes

  • Title: A deep neural network model for content-based medical image retrieval with multi-view classification
    Authors: K Karthik, SS Kamath
    Citation: 60
    Year: 2021
  • Title: A hybrid feature modeling approach for content-based medical image retrieval
    Authors: K Karthik, SS Kamath
    Citation: 16
    Year: 2018
  • Title: COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
    Authors: V Mayya, K Karthik, KS Sowmya, K Karadka, J Jeganathan
    Citation: 13
    Year: 2021
  • Title: Analysis and prediction of fantasy cricket contest winners using machine learning techniques
    Authors: K Karthik, GS Krishnan, S Shetty, SS Bankapur, RP Kolkar, TS Ashwin, …
    Citation: 13
    Year: 2021
  • Title: MSDNet: A deep neural ensemble model for abnormality detection and classification of plain radiographs
    Authors: K Karthik, S Sowmya Kamath
    Citation: 12
    Year: 2023
  • Title: Deep neural models for automated multi-task diagnostic scan management—quality enhancement, view classification and report generation
    Authors: K Karthik, S Kamath
    Citation: 12
    Year: 2021
  • Title: Automatic quality enhancement of medical diagnostic scans with deep neural image super-resolution models
    Authors: K Karthik, SS Kamath, SU Kamath
    Citation: 6
    Year: 2020
  • Title: An automated robotic arm: a machine learning approach
    Authors: NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
    Citation: 5
    Year: 2021
  • Title: Automated view orientation classification for x-ray images using deep neural networks
    Authors: K Karthik, S Kamath
    Citation: 3
    Year: 2021
  • Title: GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
    Authors: R Kumar, K Karthik, SS Kamath
    Citation: 3