Designation:
Department:
Email :
Phone :
Educational Qualification :
| University | Degree | Year |
|---|---|---|
| Sri Satya Sai University of Technology and Medical Sciences | Phd | 2021 |
| North Maharashtra University | ME | 2013 |
| North Maharashtra University | BE | 2008 |
Date of Joining : 29/02/2024
Experience : 15 year:1 month
Experience :
| Sr. No | Organisation | Designation | From Date | To Date | Years of Experience |
|---|---|---|---|---|---|
| 1 | Softcore Solutions Thane | Jr Programmer | 18-Sep-2008 | 28-Nov-2009 | 1 |
| 2 | SSBT's College of Engineering Technology Bambhori Jalgaon | Lecturer | 01-Jan-2010 | 31-May-2010 | 0 |
| 3 | SSBT's COllege of Engineering Technology Bambhori Jalgaon | Lecturer | 05-Jul-2010 | 15-Jun-2011 | 0 |
| 4 | SSBT's College of Engineering Technology Bambhori Jalgaon | Assistant Professor | 01-Jul-2011 | 05-Feb-2022 | 10 |
| 5 | Pimpri Chinchwad College of Engineering Nigdi Pune | Assistant Professor | 08-Feb-2022 | 29-Feb-2024 | 2 |
| 6 | Vishwakarma institute of Technology Pune | Assistant Professor | 01-Mar-2024 | - | 0 |
Invited Talks :
| Sr. No | Name | Description | Type | Role | From Date | To Date |
|---|---|---|---|---|---|---|
| 1 | Generative Artificial Intelligence and Machine Learning | Generative AI and Machine Learning (ML) are closely related fields within artificial intelligence. Generative AI refers to a subset of artificial intelligence techniques focused on creating new content, such as images, text, music, or even entire virtual worlds. It utilizes models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to generate data that mimics the properties of real-world data.Machine Learning, on the other hand, is a broader field that involves teaching computers to learn from data and improve their performance over time without being explicitly programmed. ML algorithms identify patterns in data and make predictions or decisions based on that data. Supervised learning, unsupervised learning, and reinforcement learning are key approaches within ML, each serving different purposes and applications.Together, Generative AI and ML are revolutionizing various industries by enabling more sophisticated data analysis, creative content generation, and enhanced decision-making capabilities. | STTP | Participated | 21-May-2024 | 25-May-2024 |
| 2 | Confluence of Deep Learning, Generative AI and Data Science | The confluence of deep learning, generative AI, and data science represents a powerful synergy in the field of artificial intelligence. Deep learning, a subset of machine learning, utilizes neural networks with many layers to model complex patterns in large datasets. Generative AI leverages these deep learning techniques to create new, synthetic data that resembles real-world data, enabling advancements in areas such as natural language processing, image synthesis, and automated content creation. Data science, which focuses on extracting insights and knowledge from data, benefits significantly from deep learning models' ability to handle and interpret vast amounts of complex data. Together, these technologies drive innovation, offering robust solutions across various domains, from healthcare to finance, by enhancing predictive analytics, automating tasks, and generating novel data-driven insights. | FDP | Participated | 06-May-2024 | 10-May-2024 |
| 3 | Recent Trends in Multidisciplinary Research | Recent trends in multidisciplinary research emphasize the integration of diverse fields to address complex global challenges. Key trends include:Health and Technology Convergence: Integrating AI, big data, and biomedical research to advance precision medicine and public health.Sustainability and Environmental Sciences: Collaborative efforts between environmental science, engineering, and policy-making to combat climate change and promote sustainable development.Digital Humanities: Combining computational tools with humanities research to analyze cultural and historical data on a large scale.Smart Cities and Urban Planning: Using IoT, data analytics, and social sciences to design sustainable, efficient, and livable urban spaces.Neuroscience and Cognitive Computing: Merging neuroscience with AI to understand brain functions and develop advanced computational models. | FDP | Participated | 29-Apr-2024 | 03-May-2024 |
| 4 | Cognitive Computing for Smart Applications | Cognitive computing for smart applications refers to the utilization of advanced technologies and algorithms that mimic human cognitive functions to enable intelligent behavior in various applications and systems. These applications leverage cognitive computing to process vast amounts of data, understand natural language, learn from interactions, and make informed decisions autonomously. | FDP | Participated | 18-Mar-2024 | 22-Mar-2024 |
| 5 | Advancements in Artificial Intelligence | Artificial Intelligence (AI) has witnessed significant advancements in recent years, transforming various sectors and revolutionizing how we interact with technology. These advancements have been driven by breakthroughs in machine learning, deep learning, natural language processing, robotics, and other related fields. | FDP | Participated | 04-Mar-2024 | 08-Mar-2024 |
| 6 | NEP 2020 Orientation | The National Education Policy (NEP) 2020 is a comprehensive framework that aims to transform the education system in India. Orientation and sensitization sessions are essential to familiarize stakeholders with the key provisions and objectives of the NEP 2020 and to foster understanding and ownership among them | FDP | Participated | 01-Feb-2024 | 14-Feb-2024 |
| 7 | Recent Trends in Computing 3.0 | , Quantum Computing, | FDP | Participated | 09-Oct-2023 | 13-Oct-2023 |
| 8 | Data Science for Buisness | Data Science for Business" is a field that involves applying data science techniques and methodologies to solve business problems and drive decision-making processes. | FDP | Participated | 04-Sep-2023 | 08-Sep-2023 |
| 9 | One Week National level FDP on Cloud Infrastructure | A one-week national level Faculty Development Program (FDP) on Cloud Infrastructure can cover a broad range of topics related to cloud computing, focusing on both theoretical concepts and hands-on practical sessions. | FDP | Participated | 21-Aug-2023 | 25-Aug-2023 |
| 10 | Advanced Excel for Data Analytics- Hands on | PivotTables,Advanced Functions,Chart and Graphs, Conditional Formatting | FDP | Participated | 07-Aug-2023 | 12-Aug-2023 |
| 11 | 30 days Masterclass on Internet of Things | At its core, IoT is about connecting the physical world with the digital world, creating a seamless network where information can flow freely between devices and systems. This connectivity enables a wide range of applications and services across various industries and sectors, including smart homes, healthcare, transportation, agriculture, manufacturing | Industry Training | Participated | 12-Jul-2023 | 12-Aug-2023 |
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