Vedika Vishawas Avhad – Engineering & Technology – Best Researcher Award

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

Dr. Akira Aikawa | Railway Ballasted Track Dynamics | Best Researcher Award

Dr. Akira Aikawa | Railway Ballasted Track Dynamics | Best Researcher Award

Railway Technical Research Institute (RTRI) | Japan

Author Profile

Scopus

AKIRA AIKAWA

Akira Aikawa is a distinguished expert in Railway Track Dynamics, Granular Mechanics, and In-situ Measurement. He earned his Ph.D. from Kyushu University in Japan.

PROFESSIONAL CAREER

Dr. Aikawa began his academic career as an Assistant Professor in the Faculty of Engineering at Kyushu University from 1987 to 1993. He then served as an Associate Professor at the Institute of National Colleges of Technology from 1993 to 2006. Since 2006, he has been associated with the Railway Technical Research Institute (RTRI) in Japan.

TECHNICAL COMMITTEE MEMBERSHIPS

Dr. Aikawa has been a Road Disaster Prevention Doctor for the Ministry of Land, Infrastructure, Transport, and Tourism in Japan from 1999 to 2006. He is also a Fellow Member of the Japan Society of Civil Engineers (JSCE).

CURRENT POSITION

Dr. Aikawa currently holds a prominent position at the Railway Technical Research Institute (RTRI) in Japan. His extensive experience and contributions to railway engineering and disaster prevention highlight his expertise and commitment to advancing the field of civil engineering.

IMPACT AND INFLUENCE

Dr. Aikawa's work has had a profound impact on the field of railway engineering, particularly in understanding the complex behaviors of railway tracks and materials. His research has informed best practices and innovations in railway construction and maintenance, enhancing the safety and reliability of railway systems in Japan and beyond.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Aikawa's legacy is characterized by his extensive contributions to railway dynamics and his role in shaping the future of railway engineering. His ongoing work at RTRI ensures that he remains at the forefront of technological advancements and research in railway systems. As a respected figure in his field, Dr. Aikawa's influence will continue to inspire future generations of engineers and researchers.

NOTABLE PUBLICATIONS

Elastic discrete element analysis of natural vibration characteristics and settlement behavior of railway ballasted track 2024

Dynamic vehicle-track interaction with multiple short rail defects over long wavelength track settlement 2019

The importance of ‘dynamics’ in the design and performance-based testing criteria for railway track components 2019 (5)

Novel discrete element modeling coupled with finite element method for investigating ballasted railway track dynamics 2018 (30)

Development of Viscoelastic Multi-Body Simulation and Impact Response Analysis of a Ballasted Railway Track under Cyclic Loading 2017 (10)