Dr. Alok Tiwari (PhD, IIT-BHU)
Assistant Professor, Big Data Analytics, Goa Institute of Management, Goa
Shaping the Future of Healthcare AI: Visionary Researcher & Data Scientist
🔝 LinkedIn Top Voice - AI, ML, Data Science & Data Engineering 🔝
🔍 Passionate Researcher - Artificial Intelligence in Healthcare 🌐
Dr. Alok Tiwari: Assistant Professor, Big Data Analytics, Goa Institute of Management, Goa, India,
Book an Appointment: dr_alok_tiwari
Email: shodhkarta.alok@gmail.com
ORCID: 0000-0003-3605-8565
GitHub: dr-alok-tiwari
Google Scholar: Profile
LinkedIn: dr-alok-tiwari
This profile elegantly illustrates my journey through the realms of Data Science, Artificial Intelligence, and their interconnected fields. My passion lies in harnessing these cutting-edge technologies to create meaningful change across diverse domains.
Unlocking healthcare insights with AI. I’m a researcher and Assistant Professor leveraging AI (Machine Learning, Deep Learning) to tackle healthcare challenges. My expertise in data science and medical image analysis helps unlock valuable insights for better diagnosis and treatment.
Expertise:
| Field | Expertise |
|---|---|
| 🤖 Machine Learning | Regression, Classification, Clustering |
| 🧠 Deep Learning | CNN, RNN, GAN, U-Net, VGG-Net, Inception Net, LLM, Transfer Learning |
| 🔤 Natural Language Processing | Text Processing, LLM, Gen-AI, ChatGPT, Gemini |
| 📸 Computer Vision | Object Detection, Image Segmentation |
| 📊 Data Science | Data Analysis, Visualization, Modeling |
| 🛠 Data Engineering | Big Data, Hadoop, Spark, SparkML, RDBMS, SQL, NoSQL, MongoDB, Git & GitHub, Linux, Clusters, HPC, Cloud Services - Azure, AWS |
Skills:
| Category | Skills |
|---|---|
| 💻 Programming | C, MATLAB, Python (Matplotlib, Seaborn, Pandas, NumPy, etc.), R, SQL, NoSQL, LaTeX |
| 🗃️ Databases | MySQL, RDBMS, HBase, MongoDB (structured & unstructured) |
| 🛠️ DevOps & MLOps | Git, GitHub, SDLC, Jenkins, Ngrok, CI/CD pipelines |
| 🖼️ Image Processing | CT, X-Ray, MRI (denoising, classification, segmentation) |
| 💾 Hardware & Software | GPU Workstations, Supercomputers, ImageJ, FSLeyes, RStudio, Tableau, MS Office |
| 🗣️ Languages | English (fluent), Hindi (fluent) |
Employment History:
| Position | Dates | Institution | Location |
|---|---|---|---|
| Assistant Professor | Jan 2024 - Present | Goa Institute of Management | Goa, India |
| Assistant Professor | Feb 2023 - Dec 2023 | Atlas SkillTech University | Mumbai, India |
| Assistant Professor | Mar 2022 - Jan 2023 | INSOFE | Hyderabad, India |
| Guest Faculty | Mar 2022 - Dec 2023 | NMIMS Mumbai | Mumbai, India |
Courses Taught:
| Programmes | Subjects/Topics | Total Hours | Feedback Rating (out of 5) |
|---|---|---|---|
| PGP Certificate | Python (Intro, Numpy, Pandas, Sklearn, Seaborn, etc.) | 150 | 4.8 |
| PGP Certificate | Big Data Engineering (Hadoop, Spark, etc.) | 100 | 4.6 |
| MS in AI | Computer Vision | 80 | 4.8 |
Education:
| Degree | Field | Dates | Institution | Location |
|---|---|---|---|---|
| Ph.D. | Biomedical Engineering | 2023 | Indian Institute of Technology (IIT-BHU) | Varanasi, India |
| M.Tech. | Biomedical Engineering (Honors) | 2016 | NIT Kurukshetra | Haryana, India |
| B.Tech. | Electronics & Communication Engineering (Honors) | 2012 | IET Sitapur | Uttar Pradesh, India |
| 12th | Science | 2012 | ADSVM Inter College Sitapur | Uttar Pradesh, India |
| 10th | Science | 2012 | ADSVM Inter College Sitapur | Uttar Pradesh, India |
Research & Publications:
Journals:
- M. Pola, A. Tiwari, and P. D. Chandrasai: A Comprehensive Review on Technological Advances in Alternate Drug Discovery Process: Drug Repurposing. Current Trends in Biotechnology and Pharmacy, vol. 17, no. 2, pp. 907–916, 2023.
- T. S. Sharan, R. Bhattacharjee, A. Tiwari, S. Sharma, and N. Sharma: Cascaded model (conventional+deep learning) for weakly supervised segmentation of left ventricle in cardiac magnetic resonance images. IETE Technical Review, vol. 40, no. 1, pp. 63–75, 2023.
- A. Tiwari, T. S. Sharan, S. Sharma, and N. Sharma: Deep learning-based automated multiclass classification of chest X-rays into Covid-19, normal, bacterial pneumonia and viral pneumonia. Cogent Engineering, vol. 9, no. 1, p. 2105559, 2022.
- A. Tiwari, S. Tripathi, D. C. Pandey, N. Sharma, and S. Sharma: Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach. Technology and Health Care, pp. 1–14, 2022.
Conferences:
- A. Tiwari: Application of deep learning in medical image segmentation for brain stroke detection. 17th International Conference on Biomedical Engineering (ICBME), Singapore, 2019.
- A. Tiwari: Design of simulink-based model for cardiac arrhythmia detection. 6th International Fellowship on Health Technology Assessment (HTA), PGIMER, Chandigarh, 2016.
- A. Tiwari: Implementation of modified Pan-Tompkins algorithm for the detection of cardiac arrhythmia. International Conference on Biomaterials, Bio Diagnostics, Tissue Engineering, Drug Delivery and Regenerative Medicine (BiTERM), IIT Delhi, India, 2016.
Book Chapters and Workshops:
- T. Alok, S. Shiru, and R. Patnaik: Application of Neuroimaging Tools in Identification of Pinpoint Location of Blockage. Springer Singapore, 2019, pp. 83–92.
- T. Alok: “Three Months Data Engineering Faculty Development Program (FDP)”. Data Engineering Department, INSOFE, Hyderabad, 2022.
- T. Alok: “Deep learning & its applications: Theory to practice”. Sasi Institute of Technology & Engineering, Tadepalligudem, 2020.
- T. Alok: “LaTeX for Beginners”. IEEE IAS Student Chapter, IIT-BHU, Varanasi, 2018.
Certifications:
- NVIDIA DLI Certificate: Fundamentals of Deep Learning
- Data Structures and Algorithmic Toolbox - Coursera
- Augmented and Virtual Reality - CDAC Pune
- R101, Python101 for Data Science, Deep Learning with TensorFlow - Cognitive Classes
- Statistics for Machine Learning - Great Learning
- Python and Deep Learning for Beginners - Udemy
Looking forward to collaborating and exploring exciting opportunities!