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
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Email: shodhkarta.alok@gmail.com | ORCID : ID = 0000-0003-3605-8565 | GitHub : dr-alok-tiwari| Google Scholar : user=jE6HZ0gAAAAJ&hl=en | Linkedin : dr-alok-tiwari |
This profile elegantly illustrates my odyssey through the realms of Data Science, Artificial Intelligence, and their interconnected fields. My fervor lies in harnessing these cutting-edge technologies to effectuate 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, Chat.OpenAI, Gemini |
| 📸 Computer Vision | Object Detection, Image Segmentation |
| 📊 Data Science | Data Analysis, Visualization, Modeling |
| 🛠 Data Engineering | Big Data, Hadoop, Spark, SparkML, RDBMS, SQL, No-SQL, 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 | Big Data Analytics, Goa Institute of Management | North Goa, Goa |
| Assistant Professor | Feb 2023 - Dec 2023 | uGDX School of Technology, ATLAS SkillTech University | Mumbai, India |
| Assistant Professor | Mar 2022 - Jan 2023 | upGrad-INSOFE | Hyderabad, India |
| Guest Faculty | Mar 2022 - Dec 2023 | NMIMS Mumbai | Mumbai, India |
Courses Taught
| Programmes | Subjects/Topics | Total Duration (Hrs.) | Feedback Rating (out of 5) |
|---|---|---|---|
| PGP Certificate Program | Basic Statistics | 16 | 4.5 |
| PGP Certificate Program | Python (Introduction, Data types, Control structure, Function, File handling, Numpy, Data Preprocessing, feature eng., Pandas, Sklearn, Seaborn, plotly, matplotlib) | 22 | 4.8 |
| PGP Certificate Program | SQL & ETL | 20 | 4.7 |
| PGP Certificate Program | Big Data Engineering-01 (Introduction to Big Data, Hadoop, MapReduce, Linux Activity, Spark, SparkML) | 26 | 4.6 |
| PGP Certificate Program | Big Data Engineering-02 ( Hive, Advanced Hive, NoSQL, Kafka, Spark Streaming, Spark ML - Advanced ML Models ) | 22 | 4.4 |
| PGP Certificate Program | Computer Vision | 40 | 4.9 |
| PGP Certificate Program | Machine Learning | 40 | 4.7 |
| PGP Certificate Program | Cloud (Introduction to cloud, Azure - IAAS, Data Factory, Databricks, ML) | 28 | 4.6 |
| PGP Certificate Program | DevOps and MLOps (DevOps basics, CI/CD, Jenkins, Git and Gihub, Python code formatting, Docker, Container, ngrok) | 20 | 4.4 |
| MS in Artificial Intelligence | Big Data Engineering-01 (Introduction to Big Data, Hadoop, MapReduce, Linux Activity, Spark, SparkML) | 26 | 4.5 |
| MS in Artificial Intelligence | Big Data Engineering-02 ( Hive, Advanced Hive, NoSQL, Kafka, Spark Streaming, Spark ML - Advanced ML Models ) | 22 | 4.7 |
| MS in Artificial Intelligence | Computer Vision | 40 | 4.8 |
| MS in Artificial Intelligence | DevOps BootCamp | 40 | 4.6 |
Education
| Degree | Field | Dates | Institution | Location |
|---|---|---|---|---|
| Ph.D. | Biomedical Engineering | (2023) | Indian Institute of Technology (IIT-BHU) | Varanasi, UP, India |
| M.Tech. | Biomedical Engineering (Honors) | (2016) | NIT Kurukshetra | Haryana, India |
| B.Tech. | Electronics & Communication Engineering (Honors) | (2012) | IET Sitapur | Uttar Pradesh, India |
Research & Publications:
Journals
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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.
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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.
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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. 2 105 559, 2022.
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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, no. Preprint, pp. 1–14, 2022.
Conferences
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A. Tiwari, “Application of deep learning in medical image segmentation for brain stroke detection,” in 17th International Conference on Biomedical Engineering (ICBME), Singapore, 2019.
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A. Tiwari, “Design of simulink-based model for cardiac arrhythmia detection,” in 6th International Fellowship on Health Technology Assessment (HTA) School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, 2016.
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A. Tiwari, “Implementation of modified pan-tompkins algorithm for the detection of cardiac arrhythmia,” in International Conference on Biomaterials, Bio diagnostics, Tissue Engineering, Drug Delivery and Regenerative Medicine (BiTERM), IIT Delhi, New Delhi, India., 2016.
Book Chapters and Workshops
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T. Alok, “Three Months Data Engineering Faculty Development Program (FDP)”. Data Engineering Department, International School of Engineering(uGDX-IT, INSOFE), Hyderabad, 2022.
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T. Alok, “Deep learning & its applications: theory to practice”. Dept of Computer Science & Engineering, Sasi Institute of Technology & Engineering, Tadepalligudem., 2020.
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T. Alok, S. Shiru, and R. Patnaik, “Application of Neuroimaging Tools in Identification of Pinpoint Location of Blockage”. Springer Singapore, 2019, pp. 83–92.
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T. Alok, “LaTeX for Beginners”. jointly organized by IEEE IAS student chapter & IEEE student chapter on 06th, October, IIT-BHU, Varanasi, India., 2018.
Certifications
- Data Structures, Algorithmic Toolbox, Awarded by Coursera
- Augmented and Virtual Reality, Awarded by CDAC, Pune.
- NVIDIA DLI Certificate—Fundamentals of Deep Learning, Awarded by NVIDIA
- R101, Python101 for Data Science, Deep Learning withTensorFlow, Awarded by Cognitive Classes
- Machine Learning Foundations, Statistics forMachine Learning. Awarded by Great Learning
- Introduction to Python, Awarded by Analytics Vidhya
- A Gentle introduction to deep learning using Keras, Deep learning prerequisites, The NumPy stack in python, Machine learning terminology & Process for beginners,Complete Python Bootcamp: go from zero to hero in python3. Awarded by Udemy.
References
- Available upon request
Let’s Connect :
Looking forward to collaborating and exploring exciting opportunities!