Dr. Alok Tiwari is currently working as an Assistant Professor of Big Data Analytics at the Goa Institute of Management. 

Prior to the current role, he held the position of Assistant Professor at uGDX School of Technology, situated within the one of its kind skillTech university, ATLAS SkillTech University. This university is housed in Tower 1 – Equinox Business Park, Off Bandra-Kurla Complex (BKC) LBS Marg, Kurla West, Mumbai – 400070.

Before his tenure at ATLAS SkillTech University, he contributed his expertise as an Assistant Professor in the Data Engineering Department at uGDX Institute of Technology (formerly known as INSOFE), based in Hyderabad, Telangana-500032.

In addition to his academic roles, he has also enriched his professional portfolio as a Guest Faculty, imparting knowledge in Big Data and Computer Vision, at NMIMS Global Access - School for Continuing Education (NGASCE), located at Vile Parle West, Mumbai, Maharashtra 400056.

Furthermore, he has honed his instructional skills as a DevOps Bootcamp Instructor, specializing in End-to-End Deployment, at NMIMS Global Access - School for Continuing Education (NGASCE), also situated in Vile Parle West, Mumbai, Maharashtra 400056.

He possesses expertise spanning across Data Science, Data Engineering, Artificial Intelligence, Computer Vision, and Machine Learning & Deep Learning, bringing a comprehensive skill set to the table. Proficient in a variety of coding libraries including C, Matlab, Python, R, SQL, HQL, and LaTeX, he excels in developing robust solutions for complex problems. His adeptness extends to working with diverse databases such as MySQL, RDBMS, HBase, and MongoDB, encompassing both structured and unstructured data environments. 

Additionally, his proficiency extends to essential tools and technologies including Git, GitHub, SDLC, Jenkins, and CI-CD Pipelines, facilitating streamlined development processes. With hands-on experience in GPU Workstations and Param Shivay supercomputers, coupled with expertise in desktop hardware assembly, he is equipped to tackle projects of any scale. 

Furthermore, his familiarity with software applications like ImageJ, fsleyes, Matlab, R-studio, Tableau, MS Office, Excel, and PowerPoint enhances his ability to deliver impactful results. Fluent in both English and Hindi, he effectively communicates and collaborates across diverse teams and stakeholders.

Journal Articles:

• 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. 2 105 559, 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, no. Preprint, pp. 1–14, 2022.

Conference Proceedings:

• A. Tiwari, “Application of deep learning in medical image segmentation for brain stroke detection,” in 17th International Conference on Biomedical Engineering (ICBME), Singapore, 2019.
• 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.
• 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:

• T. Alok, "Three Months Data Engineering Faculty Development Program (FDP)". Data Engineering Department, International School of Engineering(uGDX-IT, INSOFE), Hyderabad, 2022.
• T. Alok, "Deep learning & its applications: theory to practice". Dept of Computer Science & Engineering, Sasi Institute of Technology & Engineering, Tadepalligudem., 2020.
• 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, "LaTeX for Beginners". jointly organized by IEEE IAS student chapter & IEEE student chapter on 06th, October, IIT-BHU, Varanasi, India., 2018.