Hritwik Ghosh
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Hritwik Ghosh

Engineer, Researcher, ML Model Developer, Data Scientist

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Know About Me

2 Years of Experience

Hi! I’m Hritwik from Bangladesh, currently pursuing a B.Tech in Computer Science at VIT-AP University, India. This journey has been incredibly rewarding, offering me the chance to immerse myself in a new culture and explore a variety of opportunities. With a strong focus on machine learning and artificial intelligence, I’ve led over 20 research projects, with my work featured in prestigious journals such as IEEE Xplore, Engineered Science, and Springer. I’ve also had the honor of presenting my research at significant conferences, including AIHC 2023 in Slovakia, AMLDA-2023 in Germany, and other prominent events in Dubai, Malaysia, and India. My enthusiasm for innovation and collaboration fuels my commitment to addressing real-world challenges and advancing technological frontiers.

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Leadership

Unique Leadership Quality

Team Contributor

As the Vice President of the Machine Learning Club at VIT-AP University, I firmly believe that collaboration is the foundation of our achievements. My role involves guiding a diverse team of students, each bringing unique perspectives and skills to the table. Through our collective efforts, we’ve elevated our club to become the university's top technical organization by nurturing a culture of teamwork and innovation. Whether it's leading national-level hackathons, spearheading research initiatives, or organizing inter-university competitions, I focus on fostering open communication and aligning our goals. By leveraging the strengths of each team member, we’ve not only reached significant milestones but also cultivated an environment where everyone feels valued and motivated to contribute.

Visionary Thinker

Innovation is central to my work, especially in advancing deep learning models and pioneering hybrid approaches. I concentrate on pinpointing challenges and devising solutions that stretch the limits of machine learning capabilities. As an innovator, I am dedicated to refining and enhancing processes to ensure our research and technical projects achieve outstanding accuracy and impact. My efforts involve creating custom models and incorporating state-of-the-art techniques to achieve exceptional outcomes. This commitment to innovation not only fuels my leadership but also motivates my team to explore new ideas and strive for excellence in every project we undertake.

Advisor

Mentorship is a fundamental aspect of my role as Vice President of the Machine Learning Club at VIT-AP University. I am deeply committed to guiding and developing the potential of our administrative, research, technical, and project teams. For me, effective mentorship is not just about providing guidance—it’s about empowering others to grow and succeed. Under my leadership, our research team members have made significant contributions to published work, gaining essential research skills and confidence. Similarly, our project team has consistently delivered innovative and impactful solutions. This mentor-mentee dynamic has greatly enriched my own journey, enhancing my communication and leadership skills while fostering a culture of continuous learning and mutual growth.

Purpose and Passion

My dedication to advancing technology and making a meaningful impact is deeply rooted in my passion for innovation. As an international student from Bangladesh studying at VIT-AP University in India, I have witnessed the transformative power of learning, adaptation, and collaboration. I am driven by a desire to push the boundaries of what is possible, particularly in the fields of machine learning and artificial intelligence. The potential of these technologies to address real-world challenges and enhance lives motivates me profoundly. Each research project and new model I develop represents a step toward creating impactful solutions. My commitment to innovation, leadership, and mentorship is fueled by the belief that through perseverance and teamwork, we can tackle even the most daunting problems and contribute to a better future.

The Path of My Academic Growth

Educational Qualification

2021-Present

B.Tech in Computer Science and Engineering

Vellore Institute of Technology, Andhra Pradesh, India

Specialization: Artificial Intelligence and Machine Learning

2018 - 2020

Higher Secondary Certificate

Gachhbaria Govt. College, Bangladesh

GPA: 5.0 on a scale of 5.0

2016 - 2018

Secondary School Certificate

Patiya Model High School, Bangladesh

Awards & Scholarships

2023: Raman Research Award for Publications, VIT-AP University, India.
2023: Best Research Paper Award in ICISML Conference.
2023-24: Best Technical Club Award: Led the Machine Learning Club to be awarded the 'Best Technical Club' for the academic year.
2021: INTERNATIONAL SCHOLARSHIP FOR EDUCATION & ENRICHMENT (I-SEE).
Date: 13.12.2021.

Internship

NOVEMBER 2022 - NOVEMBER 2023

Internship under Dr. Janjhyam Venkata Naga Ramesh

Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun,India.

# Finished an internship centered around the use of deep learning in medical imaging and promoting agricultural sustainability.
# Contributed to multiple research projects, such as:

1.Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification.

2.Cassava Syndrome Scan: A Pioneering Deep Learning System for Accurate Cassava Leaf Disease Classification.

3.Enhancing Agricultural Sustainability with Deep Learning: A Case Study of Cauliflower Disease Classification.

# Showcased outstanding research capabilities and a deep comprehension of deep learning techniques.
# Displayed creative problem-solving skills in implementing advanced algorithms to tackle practical challenges..
APRIL 2023 - APRIL 2024

Internship under Dr. Pavan Kumar

Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, IFHE, Hyderabad, Telangana, India.

# Successfully completed a rigorous internship centered on developing and applying advanced deep learning models specifically for medical image processing tasks.
# Gained extensive hands-on experience by implementing machine learning techniques for medical diagnostics, with a strong focus on analyzing medical data.
# Authored and published three research papers on diagnosing Tuberculosis, Pneumonia, and Alzheimer's Disease, showcasing innovative solutions to healthcare challenges.
# Contributed to meaningful research that advances machine learning applications in medical diagnostics, collaborating with seasoned experts in the field.
# Demonstrated exceptional practical skills by effectively applying theoretical knowledge to address real-world challenges in medical diagnostics.

MAY 2024 - NOVEMBER 2024

Internship under Dr. Mohammed Altaf Ahmed

Department of Computer Engineering, College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.

# Successfully completed an internship centered on creating and deploying advanced deep learning and machine learning models for automated hematology.
# Applied deep learning techniques to blood cell detection and classification, acquiring valuable hands-on experience in analyzing and managing medical data.
# Wrote and published a research paper, "A Step Towards Automated Haematology: Deep Learning Models for Blood Cell Detection and Classification," highlighting a novel approach to blood cell diagnosis.
# Made significant contributions to research in automated hematology, working with experts to advance the use of machine learning in medical diagnostics.
# Showcased excellent technical and analytical abilities, applying theoretical concepts to practical medical problems with great attention to detail and commitment.

Responsibilities

Research and Development

# My passion for technology and innovation fueled groundbreaking research endeavors.
# Participated in workshops and seminars on machine learning, image processing, computer vision, optimization, and natural language processing.
# Conducted extensive research under the guidance of Dr. Pavan Kumar, deepening my expertise in computer science and engineering.

Leadership Identities

Vice-President of the Machine Learning Club

VIT-AP University
# The Machine Learning Club (2023-2024), organizing events, workshops, and competitions that enhanced the technical skills of members.
# The Bongojo Club (2022-2023), managing and overseeing the Event Management team and successfully coordinating various events.

Conferences & Hackathons

1.Participate in ICIRD(2024)conference in Thailand.
2.Participate in iDEAAS(2024)conference in Malaysia.
3.Participate in AMLDA(2023)conference in Germany.
4.Participate in AIHC(2023) Conference in Slovakia.
5.Participate in RAiSE(2023)conference in Dubai.
6.Participate in ICISML (2023)conference in India.
7.Participate in BYTE-BATTLES hackathon(2024) in VIT-AP University.
8.Participate in CTECH & SRM TECH CODE hackathon(2024) in SRM University.
9.Participate in 3rd Annual Business Competition, V-Launch Pad(2024) in VIT-AP University.

My Portfolio

My Different Works

  • All
  • Extra-Curricular Activities
  • Data Science and Research Papers
  • Internship
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Giving Speech in Greet & Meet Event organized by MLC

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Receiving Best Research Paper Award

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Best Technical Club Award

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Giving Paper Presentation in a Conference

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PUBLICATION

Research Papers

Water Quality Assessment Through Predictive Machine Learning
Authors: H Ghosh, MA Tusher, IS Rahat, S Khasim, SN Mohanty
International Conference on Intelligent Computing and Networking, 77-88, 2023

DOI: https://doi.org/10.1007/978-981-99-3177-4_6

A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Authors: H Ghosh, IS Rahat, SN Mohanty, JVR Ravindra, A Sobur
International Journal of Computer and Systems Engineering, 18(1), 51-59, 2024
A Step Towards Automated Haematology: DL Models for Blood Cell Detection and Classification
Authors: IS Rahat, MA Ahmed, D Rohini, A Manjula, H Ghosh, A Sobur
EAI Endorsed Transactions on Pervasive Health and Technology, 2024

DOI: https://doi.org/10.4108/eetpht.10.5477

Potato Leaf Disease Recognition and Prediction using Convolutional Neural Networks
Authors: H Ghosh, IS Rahat, K Shaik, S Khasim, M Yesubabu
EAI Endorsed Transactions on Scalable Information Systems, 10(6), 2023

DOI: https://doi.org/10.4108/eetsis.3937

Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification
Authors: SK Panda, JVN Ramesh, H Ghosh, IS Rahat, A Sobur, MH Bijoy
EAI Endorsed Transactions on Pervasive Health and Technology, 2024

DOI: https://doi.org/10.4108/eetpht.10.5549

Advanced Deep Learning Models for Corn Leaf Disease Classification: A Field Study in Bangladesh
Authors: SN Mohanty, H Ghosh, IS Rahat, CVR Reddy
MDPI Engineering Proceedings 59 (1), 69, 2023

DOI: https://doi.org/10.3390/engproc2023059069

Unraveling the Heterogeneity of Lower-Grade Gliomas: Deep Learning-Assisted Flair Segmentation and Genomic Analysis of Brain MR Images
Authors: IS Rahat, H Ghosh, K Shaik, S Khasim, G Rajaram
EAI Endorsed Transactions on Pervasive Health and Technology, 2023

DOI: https://doi.org/10.4108/eetpht.9.4016

An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population
Authors: M Mandava, SR Vinta, H Ghosh, IS Rahat
EAI Endorsed Transactions on Pervasive Health and Technology, 2023

DOI: https://doi.org/10.4108/eetpht.9.4052

Deciphering Microorganisms through Intelligent Image Recognition: Machine Learning and Deep Learning Approaches, Challenges, and Advancements
Authors: S Khasim, H Ghosh, IS Rahat, K Shaik, M Yesubabu
EAI Endorsed Transactions on Internet of Things, 2024

DOI: https://doi.org/10.4108/eetiot.4484

Identification and Categorization of Yellow Rust Infection in Wheat through Deep Learning Techniques
Authors: M Mandava, SR Vinta, H Ghosh, IS Rahat
EAI Endorsed Transactions on Internet of Things, 2024

DOI: https://doi.org/10.4108/eetiot.4603

Enhancing Agricultural Sustainability with Deep Learning: A Case Study of Cauliflower Disease Classification
Authors: NR Pradhan, H Ghosh, IS Rahat, JVN Ramesh, M Yesubabu
EAI Endorsed Transactions on Internet of Things, 2024

DOI: https://doi.org/10.4108/eetiot.4834

Using Deep Learning and Machine Learning: Real-Time Discernment and Diagnostics of Rice-Leaf Diseases in Bangladesh
Authors: S Khasim, IS Rahat, H Ghosh, K Shaik, SK Panda
EAI Endorsed Transactions on Internet of Things, 2024

DOI: https://doi.org/10.4108/eetiot.4579

Cassava Syndrome Scan: A Pioneering Deep Learning System for Accurate Cassava Leaf Disease Classification
Authors: IS Rahat, H Ghosh, JVN Ramesh, A Kiran, P Verma
International Conference on Applied Machine Learning and Data Analytics, 111-123, 2023

DOI: https://doi.org/10.1007/978-3-031-55486-5_9

A Comparative Analysis of Machine Learning and Deep Learning Approaches for Prediction of Chronic Kidney Disease Progression
Authors: S Mandava, SR Vinta, H Ghosh, IS Rahat
EAI Endorsed Transactions on Internet of Things, 2024

DOI: https://doi.org/10.4108/eetiot.5325

Innovative Approaches in Tomato Leaf Disease Recognition using Deep Learning
Authors: H Ghosh, IS Rahat, R Pattanayak, SN Mohanty
IEEE XPLORE, 2024

DOI: https://doi.org/10.1109/ICRTAC59277.2023.10480762

Exploring the Potential of Deep Learning in the Classification and Early Detection of Parkinson's Disease
Authors: VS Bakkialakshmi, V Arulalan, G Chinnaraju, H Ghosh, IS Rahat, A Saha
EAI Endorsed Transactions on Pervasive Health and Technology, 2024

DOI: https://doi.org/10.4108/eetpht.10.5568

Exploring Deep Learning Models for Accurate Alzheimer's Disease Classification Based on MRI Imaging
Authors: IS Rahat, T Hossain, H Ghosh, KLK Reddy, SK Palvadi, JVR Ravindra
EAI Endorsed Transactions on Pervasive Health and Technology, 2024

DOI: https://doi.org/10.4108/eetpht.10.5550

Convolutional Neural Networks in Malaria Diagnosis: A Study on Cell Image Classification
Authors: H Ghosh, IS Rahat, JVR Ravindra, J Balajee, MAU Khan, J Somasekar
EAI Endorsed Transactions on Pervasive Health and Technology, 2024

DOI: https://doi.org/10.4108/eetpht.10.5551

From Pixels to Pathology: The Power of CNNs in Detecting Tuberculosis
Authors: H Ghosh, IS Rahat, MDMH Nipu, GR Krishna, JVR Ravindra
EAI Endorsed Transactions on Pervasive Health and Technology, 2024

DOI: https://doi.org/10.4108/eetpht.10.5543

Benchmarking ML and DL Models for Mango Leaf Disease Detection: A Comparative Analysis
Authors:H Ghosh, I S Rahat, R Lenka, S N Mohanty, D Chauhan
International Conference on Applied Machine Learning and Data Analytics, 111-123, 2023

DOI: https://doi.org/10.1007/978-3-031-55486-5_8

Contact Me

Address: Munchef Bazar, Kali Bari Road, Patiya, Chittagong, Bangladesh.

Phone: +91 9440816501

WhatsApp: +88 01869532696

Email: me.hritwikghosh@gmail.com, hritwik.21bce8973@vitapstudent.ac.in

LinkedIn: Hritwik Ghosh

Hritwik Ghosh

VIT-AP University, India

+8801869532696

me.hritwikghosh@gmail.com

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