Motivated researcher with expertise in artificial intelligence, machine learning, and data science, seeking to pursue a PhD in Computer Science focused on innovative applications of AI and ML in healthcare and other real-world domains.
Lecturer (Full time)
Northern University Bangladesh, Sep 2022 - Present
Conducting BSc courses, including Database Management System, Artificial Intelligence, Computer Architecture, and Software Development. Supervising undergraduate theses on machine learning and deep learning.
Volunteer Assistant Researcher (Remote)
Neuro-Analytics Lab, NJIT, USA, Jul 2022 - June 2023
Submitted journal articles and collaborated on research focused on AI and deep learning.
Founder & Content Creator
Tech Mash, YouTube, May 2017 - Present
I run a tech-focused YouTube channel with over 50,000 subscribers, where I create educational videos in English on technology-related topics, including tutorials, troubleshooting, and product reviews. Visit Channel
Intern (Research & Development)
Bondstein Technologies Limited, Dhaka, Bangladesh, Jan 2022 - Jun 2022
Developed a real-time conveyor belt fault detection system for British American Tobacco (BAT).
SEO Team Lead (Part-time, Remote)
Marketing Doorway, Dhaka, Bangladesh, Jul 2017 - Sep 2022
Managed a team of SEO associates and optimized website traffic strategies.
SEO Specialist (Part-time, Remote)
Lead Technology, Dhaka, Bangladesh, Jul 2016 - Jul 2017
B.Sc. in Computer Science & Engineering
University of Asia Pacific, Dhaka, Bangladesh, April 2018 - June 2022
Cumulative CGPA: 3.79/4.00
CGPA of last 2 years: 3.96/4.00
CGPA of last semester: 4.00/4.00
Higher Secondary Certificate, BCIC College, Dhaka, Bangladesh, 2014 - 2016
GPA: 5.00/5.00
Ovi, Md Ohiduzzaman, Maliha Sanjana, Fahad Fahad, Mahjabin Runa, Zarin Tasnim Rothy, Tanmoy Sarkar Pias, A. M. Islam, and Rumman Ahmed Prodhan. "Enhanced Pediatric Dental Segmentation Using a Custom SegUNet with VGG19 Backbone on Panoramic Radiographs." arXiv preprint arXiv:2503.06321 (2025).
Prodhan, R. A., Akter, S., Adnan, M. A., & Pias, T. S. (2024). Optimal EEG Electrode Set for Emotion Recognition from Brain Signals: An Empirical Quest. In *4th International Conference on Activity and Behavior Computing* (pp. 67-88), October 27-29, 2022, London, United Kingdom. CRC Press.
Prodhan, R. A., Akter, S., Mujib, M. B., Adnan, M. A., & Pias, T. S. (2023, June). Emotion recognition from brain wave using multitask machine learning leveraging residual connections. In *International Conference on Machine Intelligence and Emerging Technologies* (pp. 121-136). Cham: Springer Nature Switzerland.
Akter, S., Prodhan, R. A., Mujib, M. B., Adnan, M. A., & Pias, T. S. (2023). Evaluating the Effectiveness of Classification Algorithms for EEG Sentiment Analysis. In *Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022* (pp. 195-212). Singapore: Springer Nature Singapore.
Akter, S., Prodhan, R. A., Pias, T. S., Eisenberg, D., & Fresneda Fernandez, J. (2022). M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity. *Sensors*, 22(21), 8467.
VC’s Honor List:
Awarded by the University of Asia Pacific for outstanding academic performance in 4th year (2nd and 1st semesters), 3rd year (2nd and 1st semesters).
Dean’s Honor List:
Awarded by the University of Asia Pacific for outstanding academic performance in 2nd year (1st semester and 2nd semester).
Tanmoy Sarkar Pias, Doctoral Candidate, Computer Science, Virginia Tech, USA
tanmoysarkar@vt.edu
Md. Akhtaruzzaman Adnan, Assistant Professor, Dept. of CSE, University of Asia Pacific, Bangladesh
adnan.cse@uap-bd.edu
David Eisenberg, Assistant Professor, Information Management and Business Analytics, Feliciano School of Business, Montclair State University eisenbergd@montclair.edu