Publications
1. EEG Based Depression Detection Using Ensemble Approach
International Conference on Applied Intelligence and Sustainable Computing
The research focused on developing a system that can detect depression by analyzing brain activity captured through electroencephalogram (EEG) signals. The project utilizes an ensemble approach, combining multiple algorithms and techniques to improve the accuracy and reliability of depression detection.
2. Road Conditions Indication and Autonomous Braking System
IEEE 3rd International Conference on Intelligent Sustainable Systems
Developed a Road Conditions and Obstacles Indication System that added an automatic option to vehicles. It consisted of camera sensors, a processing unit, and an indicating device. The system provided real-time indications of road conditions and obstacles.
3. Cardiovascular Disease Prediction Using Machine Learning Models
IEEE Pune Section International Conference
In this research, we explored the prediction of cardiovascular disease using machine learning techniques. We focused on the impact of BMI as a key feature in the prediction process. The results showed that BMI plays a significant role in predicting cardiovascular disease.
4. Smart Glasses to Assist Monocular Vision to Estimate Depth
IEEE International Conference for Innovation in Technology 2020, Bangalore, India
With my team, I designed smart glasses to assist individuals with monocular vision. The glasses utilized Convolution Neural Network and YOLOv3 for depth perception and object recognition.
5. A Survey: Feature Extraction Techniques And Machine Learning Models For Depression Analysis
12th International Conference on Computing, Communication, and Networking Technologies
Conducted a study on depression detection, focusing on the early identification of the disorder. By analyzing behavior, emotions, speech qualities, facial expressions, and other factors, I explored the effectiveness of various techniques and machine learning models.
6. Multimodal System for Depression Analysis Using Machine Learning Techniques
In review with IEEE
Demonstrated a real-time system that can successfully recognize depression by extracting features from Facial expressions, EEG signals, and Speech modules by analyzing human behavior with the help of the deep learning model trained on various datasets. Integrated a Multimodal system for depression analysis.
Patents
1. Smart Glasses for Monocular Vision
IN 202021034153 · Filed Aug 10, 2020, India
The Smart Glasses for Monocular Vision project involved the integration of a camera module, processing unit, communication module, and display system. The processing unit performed tasks such as object localization, detection, and segmentation, providing depth information of objects to the user. Text labels were assigned to visualize the detected objects on the display, allowing users to estimate depth and distance in real-life scenarios.
2. Road Conditions and Obstacle Indication System
IN 202021009028 · Filed Mar 3, 2020, India
The Road Conditions and Obstacle Indication System project focuses on developing an architecture that utilizes camera sensors, a processing unit, and an indicating device. The project involves establishing communication between vehicles and creating a model for detecting road conditions and obstacles, including their distance from the vehicle. This is achieved through depth perception techniques using YOLOv4 and Single Shot Detection.
Articles
1. Solutions in Achieving Self-Reliance in India's API Industry
Medium · Aditya Mhaske's Blog
The article discusses the dependency of the Indian pharmaceutical industry on China for active pharmaceutical ingredients (APIs). It highlights factors such as cost advantage and inadequate financing, infrastructure, and clearances that contribute to India's reliance on China.
2. Dependency of Indian Pharmaceutical Industry on China for APIs
Medium · Aditya Mhaske's Blog
This article discusses the dependency of the Indian pharmaceutical industry on China for Active Pharmaceutical Ingredients (APIs). It highlights the growth and export figures of the Indian pharmaceutical sector and the increasing competition from China due to cost advantages.
Research Interests
Generative AI & LLMs
Exploring Large Language Models, Hugging Face ecosystem, LLaMA, and retrieval-augmented generation for applied NLP tasks.
Natural Language Processing
Tackling complex questions using advanced text analytics — sentiment analysis, topic modeling, and named entity recognition.
Machine Learning Theory
Driven by a passion for ML theory — probabilistic models, clustering algorithms, and optimization methods for real-world applications.
Parallel & Distributed Computing
High-performance computing with Hive, Hadoop, and Spark for large-scale data processing and model training pipelines.
Data Analysis & Visualization
Storytelling through data — building dashboards, statistical analysis, and A/B testing frameworks that drive decision making.
Computer Vision
Object detection, localization, and image classification using CNNs, YOLO architectures, and transfer learning approaches.