Vedika Vishawas Avhad - Engineering & Technology - Best Researcher Award

VPPCOE&VA - India

AUTHOR PROFILE

GOOGLE SCHOLAR

ACADEMIC BACKGROUND

Mrs. Vedika Vishawas Avhad is an accomplished academic in the field of Computer Engineering. She is currently pursuing her PhD at Pillai HOC in Panvel and has completed her M.E. in Computer Engineering from YTIET, Karjat in 2019 with a CGPA of 7.77. Her undergraduate studies culminated in a B.E. in Computer Engineering from D.Y. Patil, Pune in 2014, where she achieved 61.80%. Additionally, she holds a Diploma in Computer Engineering from K.K. Wagh Polytechnic, Nashik, completed in 2010 with a commendable score of 72.90%.

PROFESSIONAL EXPERIENCE

Mrs. Avhad's professional journey includes roles as an Assistant Professor at Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts in Sion since July 2019. She has also served as a Lecturer at Shivajirao S. Jondhale Polytechnic, Dombivli from June 2016 to March 2018, and as an Assistant Professor at B R Harne College of Engineering, Vangni from January 2016 to May 2016. Her teaching experience is complemented by her roles as a department-level Exam Coordinator, BE & TE student Project Guide, and various coordination responsibilities in academic events and processes.

RESEARCH INTERESTS AND OBJECTIVES

Her research interests focus on innovative applications of computer engineering in health and forensic sciences. She is currently engaged in research projects such as "Iridology-based Early Stage Predictions of Human Health Conditions using Computer Vision and Deep Learning" and "Searching and Detecting Forged Multimedia Data in Forensic Investigation." These projects aim to develop precise patterns of iris for health predictions and efficient detection methods for multimedia forensics, respectively.

PUBLICATIONS

Mrs. Avhad has contributed significantly to academic literature with publications in various reputed journals. Notable works include articles on topics such as Smart EVMs for reducing frauds based on biometric identification, efficient Cibpre schemes with provable security, multimedia data forensics, jamming-aware traffic allocation, plant health monitoring systems, customer churn prediction, heart disease prediction, age and gender prediction, and obstacle detection for the visually impaired.

PROFESSIONAL DEVELOPMENT

She has actively participated in numerous faculty development programs, workshops, and trainings. Some of these include AICTE-ISTE sponsored STTPs on emerging trends in data science, data security, and applications of mathematics in engineering, as well as FDPs on topics like blockchain technology, software project management, and natural language processing. These programs have been instrumental in enhancing her teaching methodologies and research capabilities.

ACADEMIC CONTRIBUTIONS AND SERVICE

Beyond her teaching and research, Mrs. Avhad has been involved in various academic and administrative roles. She has served as a Paper-Setter for University of Mumbai and K. J. Somaiya Institute of Engineering and Information Technology, anchored official, technical, and cultural programs, and worked as an examiner and moderator for university examinations. Her contributions also extend to supporting departmental committees and mentoring students in their academic and research pursuits.

NOTABLE PUBLICATION

Prediction of customer churn using machine learning 2022 (2)

Heart Disease Prediction using Machine Learning,7 th International conference on Innovation And Research in Technology & Engineering, ICIRTE

Smart EVM for Reducing Frauds, Based on Face Recognition and Biometric Identification with instant Result 2019

Jamming-Aware Traffic Allocation for Multiple-Path Routing Using Portfolio Selection against DDOS 2014

EARLY ACADEMIC PURSUITS

Jamin Rahman Jim's academic journey commenced with a Bachelor of Science degree in Computer Science and Engineering, with a major in Information Systems, from the American International University-Bangladesh. His exceptional academic performance, evidenced by a final grade of 3.96/4.00, was complemented by a thesis focusing on assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks.

PROFESSIONAL ENDEAVORS

Jamin Rahman Jim has established himself as a dedicated researcher in the field of artificial intelligence and machine learning. His roles as a Research Assistant at Deepchain Labs and subsequently as a Researcher at the Advanced Machine Intelligence Research Lab (AMIR Lab) reflect his commitment to advancing knowledge and contributing to cutting-edge research projects.

CONTRIBUTIONS AND RESEARCH FOCUS

With a focus on artificial intelligence and machine learning, Jamin Rahman Jim has made significant contributions to the field through his publications and projects. His research spans various domains, including the trustworthy metaverse, NLP-based sentiment analysis, deep learning for medical image segmentation, and user authentication and authorization in cybersecurity. Through preprints and published articles, he continues to explore innovative approaches and address challenges in the application of machine learning techniques.

IMPACT AND INFLUENCE

Jamin Rahman Jim's research has garnered attention within the academic community and beyond, as evidenced by his publications in reputable journals and his receipt of prestigious awards and grants. His work on generative AI in medical imaging, fusion-enhanced terrain detection, and explainable AI approaches has the potential to influence the development of AI systems in various domains, including healthcare, autonomous vehicles, and cybersecurity.

ACADEMIC CITES

Jamin Rahman Jim's publications in journals such as IEEE Access, Natural Language Processing Journal, and Computers and Electrical Engineering have been cited by fellow researchers, indicating the relevance and impact of his work. His research on generative AI in medical imaging, personalized federated learning algorithms, and lightweight human activity recognition frameworks has contributed to advancing knowledge in the field of artificial intelligence.

LEGACY AND FUTURE CONTRIBUTIONS

As Jamin Rahman Jim continues his academic and professional journey, his legacy lies in his dedication to advancing the field of artificial intelligence and machine learning. Through his ongoing research projects, publications, and collaborations, he aims to address critical challenges and contribute to the development of innovative AI solutions. His focus on generative AI in medical imaging underscores his commitment to leveraging AI for improved healthcare outcomes and societal impact.