Diksha Kumar | Deep learning | Women Researcher Award

Mrs. Diksha Kumar | Deep learning | Women Researcher Award

Ramrao Adik Institute of Technology (RAIT) | India

Publication Profile

Scopus
Orcid

BIOGRAPHY OF Mrs. Diksha Kumar 🌱📚

INTRODUCTION 🌍

Diksha Kumar is an accomplished research scholar with over 10 years of experience in higher education, currently pursuing her PhD in Computer Engineering at Ramrao Adik Institute of Technology (RAIT), India. Specializing in machine learning, deep learning, and generative AI, she has made significant strides in both research and innovation. She has secured funding for her research through a grant from Mumbai University, India, and holds a patent for an innovative aquatic animal-friendly ocean cleaning system. Through her research endeavors, Diksha has consistently pushed the boundaries of technology to contribute to a cleaner, smarter world. 🌍🔬

EARLY ACADEMIC PURSUITS 🎓

Diksha Kumar’s academic journey began with her intense passion for computer science and technology. As a student, she exhibited a deep curiosity and enthusiasm for computational methods and their real-world applications. Pursuing her undergraduate and master’s degrees, Diksha excelled in every academic pursuit, solidifying her foundation in computer engineering. Her rigorous academic training at Ramrao Adik Institute of Technology (RAIT) laid the groundwork for her current doctoral research, enabling her to delve into cutting-edge areas such as deep learning and machine learning.

PROFESSIONAL ENDEAVORS 👩‍💼

her professional career, Diksha Kumar has worked across various dimensions of academia and research. As a Research Scholar at RAIT, she has engaged in multiple industry-linked research projects. Her pioneering work in image classification and processing has garnered her attention in international academic circles. She has secured prestigious research grants and has become a member of the IEEE, further bolstering her professional credibility. Her practical contributions in the fields of AI and remote sensing have not only garnered attention but are making impactful changes in technology and environmental sustainability.

CONTRIBUTIONS AND RESEARCH FOCUS  ON  Deep learning 🔬

Diksha’s research work is marked by several innovative contributions to deep learning and AI. Her work on adapting Attention U-Net for image classification and combining it with XGBoost to enhance classification accuracy stands out. Additionally, she developed a hybrid model fusing VGG19 with XGBoost for improved image analysis. Moreover, her current focus on a novel cloud removal technique combining Homomorphic Filtering and Gamma Correction holds promise for enhancing image processing techniques. These contributions demonstrate her skill in addressing complex challenges in AI and image processing.

IMPACT AND INFLUENCE 🌟

Diksha Kumar’s research has had a substantial impact on both academia and industry. Her work, which fuses theoretical AI techniques with real-world applications, is paving the way for further advancements in image classification, remote sensing, and environmental protection. The patented aquatic animal-friendly ocean cleaning system showcases her commitment to using technology for environmental conservation, setting an example for researchers seeking to combine innovation with sustainability. Her pioneering work continues to inspire others in the research community and has led to significant strides in the application of deep learning to environmental issues.

ACADEMIC CITATIONS AND PUBLICATIONS đź“‘

Diksha Kumar has earned recognition through her impressive academic citations, reflecting the importance and relevance of her work. With a citation index of 19 and multiple publications in SCI and Scopus-indexed journals, her contributions to image processing, machine learning, and deep learning are well-regarded. Her academic output includes four journal articles, highlighting her prolific and impactful research work. Each publication has been a step forward in the development of AI-driven solutions that address both scientific and practical problems.

HONORS & AWARDS 🏆

Diksha’s commitment to excellence has earned her several accolades and recognitions in her field. Notably, she has been awarded a research grant from Mumbai University, which enabled her to pursue her innovative projects. Additionally, her research achievements are acknowledged through her patent for the aquatic animal-friendly ocean cleaning system. As she continues to make strides in her field, Diksha is a strong contender for the Women Researcher Award, which would recognize her outstanding contributions to research and technology.

LEGACY AND FUTURE CONTRIBUTIONS đź”®

Diksha Kumar’s legacy is being shaped by her relentless pursuit of excellence in research and her dedication to the practical applications of AI and deep learning. With future projects focused on advancing image processing techniques and addressing environmental issues, Diksha is positioning herself as a leader in these fields. Her future contributions will not only advance the frontiers of AI but also have a direct and positive impact on society, ensuring that her work continues to inspire and influence the next generation of researchers.

FINAL NOTE ✨

Diksha Kumar is a dynamic researcher whose work in AI, deep learning, and image classification is leaving a lasting impact on the academic and scientific communities. Her innovative solutions and commitment to using technology for the betterment of the environment showcase her ability to combine technical expertise with real-world challenges. As she moves forward with her PhD and her current research projects, Diksha’s work promises to make an even greater impact in the years to come.

TOP NOTES PUBLICATIONS đź“š

AUXG: Deep Feature Extraction and Classification of Remote Sensing Image Scene Using Attention Unet and XGBoost
  • Authors: D.G. Kumar, Diksha Gautam, S.Z. Chaudhari, Sangita Zope
  • Journal: Journal of the Indian Society of Remote Sensing
  • Year: 2024

Mohamed Asan Basiri M | Computer Architecture | Best Researcher Award

Dr. Mohamed Asan Basiri M | Computer Architecture | Best Researcher Award

 Iiitdm Kurnool | India

Publication Profile

Google Scholar

INTRODUCTION ✨

Dr. Mohamed Asan Basiri M. is an accomplished academician and researcher in the field of Electronics, Communication, and VLSI architectures. His career has been marked by a relentless pursuit of excellence in high-performance VLSI design, embedded systems, and digital signal processing. Dr. Asan’s significant contributions to the field are reflected in his extensive research, publications, and involvement in advanced training programs. His journey through academia has been an inspiring example of dedication to the advancement of knowledge and technology.

EARLY ACADEMIC PURSUITS 🎓

Dr. Asan’s academic journey began with his B.E. in Electronics and Communication Engineering, which he completed with distinction at Thanthai Periyar Government Institute of Technology, Vellore. He later pursued an M.E. in Embedded System Technologies at Anna University, Coimbatore, where he achieved an impressive 9.1 CGPA, also with distinction. His passion for research and further specialization in high-performance VLSI architectures led him to pursue a Ph.D. at the Indian Institute of Information Technology Design and Manufacturing, Kancheepuram, under the guidance of leading experts in the field. His doctoral thesis focused on the development of VLSI architectures for discrete transformations, which was awarded in 2016.

PROFESSIONAL ENDEAVORS 🧑‍💻

Dr. Asan has held several prestigious positions during his career, including Assistant Professor at the Department of Electronics and Communication Engineering at IIITDM Kurnool. He also served as a Post-Doctoral Fellow, Senior Project Engineer, and Research Associate at IIT Kanpur, contributing to the cutting-edge research in the fields of VLSI design and embedded systems. His experience spans various roles that have shaped his expertise and allowed him to mentor the next generation of engineers and researchers.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPUTER ARCHITECTURE 🔬

Dr. Asan’s research focuses on high-performance VLSI architectures, FPGA implementations, image processing, and hardware design for embedded systems. His work on Wiener filters, histogram equalization, and instruction set architecture has been widely recognized in international conferences and journals. He has contributed significantly to the understanding of data parallelism, latency reduction, and computational efficiency in digital signal processing and image processing systems. His research aims to bridge the gap between theoretical algorithms and their practical implementations in hardware systems.

IMPACT AND INFLUENCE 🌍

Dr. Asan’s work has had a profound impact on the field of electronics and communication engineering, particularly in the design of VLSI systems and embedded architectures. His contributions have influenced both academic research and industry practices, driving advancements in embedded systems, digital signal processing, and VLSI design. He is regarded as an expert in his field, and his work continues to shape the direction of research in embedded systems and hardware architecture.

ACADEMIC CITATIONS AND PUBLICATIONS đź“š

Dr. Asan’s research has been widely cited in leading journals and international conferences. His contributions include several papers on high-performance instruction set architectures, FPGA implementations of Wiener filters, and low-latency VLSI designs for image processing. These publications have established him as a leading authority in his field, and his work continues to inspire researchers and engineers worldwide. Some of his notable papers include:

  • “High Performance Instruction-Data Level Parallelism based Instruction Set Architecture in RISC-V”
  • “An Efficient FPGA Implementation of Wiener Filter”
  • “Low Latency VLSI Architecture of Histogram Equalization of Images”
  • “Flexible and High Throughput Designs of Operational Amplifiers”

HONORS & AWARDS 🏅

Dr. Asan’s work has been recognized through numerous accolades and awards. His academic achievements and research contributions have earned him respect and recognition from both academic institutions and industry professionals. He has been invited to present at major conferences and has received awards for his innovation in VLSI architectures and embedded systems design.

FINAL NOTE ✍️

Dr. Asan’s career is a testament to the power of dedication, innovation, and continuous learning. His contributions have left a lasting legacy in the fields of VLSI, embedded systems, and digital signal processing. As he continues to mentor young researchers and work on groundbreaking projects, his influence on the academic community and the tech industry is bound to grow.

LEGACY AND FUTURE CONTRIBUTIONS HIGHLIGHT đź”®

Dr. Asan’s legacy lies in his ability to merge theoretical knowledge with practical application, and his research continues to shape the future of VLSI and embedded system design. He is poised to make even greater contributions in the years ahead, particularly in the fields of high-performance computing, embedded system technologies, and hardware acceleration. As a mentor, his influence on the next generation of engineers and researchers will continue to be felt for many years to come.

TOP NOTES PUBLICATIONS đź“š

Title: Memory Based Multiplier Design in Custom and FPGA Implementation

Authors: MMA Basiri, SKN Mahammad
Journal: Advances in Intelligent Informatics
Year: 2015

Title: Efficient VLSI architectures of lifting based 3D discrete wavelet transform

Authors: MMA Basiri
Journal: IET Computers & Digital Techniques
Year: 2020

Title: Reconfigurable Hardware Design for Polynomial Galois Field Arithmetic Operations

Authors: H Inumarty
Journal: 2020 24th International Symposium on VLSI Design and Test (VDAT)
Year: 2020

Title: Asynchronous hardware implementations for crypto primitives

Authors: SK Shukla
Journal: Microprocessors and Microsystems
Year: 2019

Title: Efficient hardware-software codesigns of AES encryptor and RS-BCH encoder

Authors: MMA Mohamed Asan Basiri, SK Shukla
Journal: International Symposium on VLSI Design and Test
Year: 2018

Nidhi Upadhya | Image Processing | Best Researcher Award

Ms. Nidhi Upadhya, Image Processing, Best Researcher Award

Ms. Nidhi Upadhya at GLA university, India

Professional Profile

Research Gate Profile
Scopus Profile

🎯 Career Objective

Nidhi Upadhyay is an aspiring academician dedicated to contributing to the field of computer science through teaching and research. With a strong desire to work in environments that provide extensive exposure and uphold high standards, Nidhi aims to enhance her knowledge and skills while being a valuable asset to her organization.

đź“š Academic Background

  • 2021 (ODD): Ph.D. in Computer Science Engineering, GLA University, Mathura, U.P.
  • 2016-2018: M.Tech in Computer Science Engineering, GLA University, Mathura, U.P.
  • 2012-2016: B.Tech in Computer Science Engineering, Aligarh College of Engineering & Technology, Aligarh, U.P.
  • 2011-2012: Intermediate, Maharishi Vidya Mandir (Sr. Sec. Public School), Aligarh, U.P.
  • 2009-2010: High School, Maharishi Vidya Mandir (Sr. Sec. Public School), Aligarh, U.P.

🏢 Professional Experience

  • Assistant Professor at GLA University (March 28, 2022 – Present)
  • Assistant Professor at Vivekananda College of Technology and Management (February 2019 – March 16, 2022)
  • Assistant Professor at SSLD Varshney Engineering College (August 2018 – January 2019)

🎓 Qualifications

  • UGC-NET Qualified (2020)

đź’» Projects

M.Tech Project: Prioritization Of NFRs

  • Title: An Approach for Prioritizing NFRs According to Their Relationship with FRs
  • Technology Used: MATLAB
  • Responsibility: Prioritized NFRs with respect to FRs using the Artificial Bee Colony Algorithm based on cost.

B.Tech Project: Online Music Site

  • Technology Used: PHP
  • Responsibility: Developed a site allowing users to listen to categorized songs and request songs not listed.

đź’Ľ Areas of Interest

  • Programming Languages: C, Python, MATLAB
  • IDE: Turbo C, Microsoft Visual Studio
  • Operating Systems: Windows, Linux
  • Subjects: DBMS, Discrete Mathematics, Operating System, Software Engineering

🏅 Workshops & Certifications

  • Online FDP on “IoT Induced Artificial Intelligence for Emerging Computing Paradigms” by NIT Jalandhar (Oct 4-8, 2022)
  • Train the Teacher (T3) workshop on Cognitive Analytics by GLA University (July 25-28, 2022)
  • IEEE national workshop on “Research Paper Writing & Publication Ethics” by GLA University
  • IEEE International conference on ELECTRICAL, COMPUTER AND ELECTRONICS-UPCON-2017 by GLA University
  • Seminar on “Potential Use of Gamification in Education” by GLA University
  • Workshop on “An Introductory Course on Intellectual Property Rights” by GLA University
  • Workshop on “LaTeX- A Document Preparation System” by GLA University
  • Workshop on “Cloud Computing Using Microsoft Azure” by Aligarh College of Engineering and Technology
  • Workshop on “Flash” by i3 Indiya Technologies
  • Certificate of PHP language from NIIT Aligarh

🌟 Extra-Curricular Activities

  • Attended Entrepreneurship orientation program by N.S.I.C.
  • Participated in Science Olympiad (8th standard)
  • Engaged in various cultural activities in school and college

đź“– Publication Top Noted

Paper Title: Diagnosis of fungi affected apple crop disease using improved ResNeXt deep learning model
    • Authors: Upadhyay, N., Gupta, N.
    • Journal: Multimedia Tools and Applications
    • Volume: Article in Press
    • Year: 2024
Paper Title: Potato Leaves Disease Detection with Data Augmentation Using Deep Learning Approach
    • Authors: Upadhyay, N., Gupta, N.
    • Journal: Lecture Notes in Networks and Systems
    • Volume: 623
    • Pages: 589–599
    • Year: 2023
Paper Title: A Survey on Diseases Detection for Agriculture Crops Using Artificial Intelligence
    • Authors: Upadhyay, N., Gupta, N.
    • Conference: 2021 5th International Conference on Information Systems and Computer Networks (ISCON 2021)
    • Volume: Not specified
    • Year: 2021
Paper Title: Requirement Prioritization Based on Cost using Artificial Bee Colony Algorithm
    • Authors: Upadhyay, N., Sharma, A.
    • Conference: ICRITO 2020 – IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)
    • Pages: 426–430
    • Year: 2020
    • DOI: 9197941