Dr. Medhasree Ghosh

About Me

I’m Dr. Medhasree Ghosh, a researcher in Computer Science and Engineering, currently working in the University of Oulu as a postdoctoral researcher under Future Computing Group. My current project is funded by the prestigious Academy of Finland. The project includes creating an AI driven digital twin systems for CO2 Capture, Utilization and Storage(CCUS). In short, I am leveraging my experience in deep learning towards a sustainable environment! Prior to my postdoc, I have completed my doctoral degree at the Indian Institute of Technology Patna, where I worked at the crossroads of Deep Learning, Complex Networks, and Blockchain Security. My research focuses on building interpretable deep learning frameworks for detecting and mitigating security threats in decentralized ecosystems—because if machines can think, they might as well think securely.

I aspire to pursue a professorial career where I can contribute meaningfully to academia through both impactful research and dedicated teaching—two pursuits I value equally and deeply enjoy.

🚀 Big News! We received our first acceptance on AI4Healthcare from IEEE HealthCom 2026 with our paper "FALCON: An Adapative Federated Learning Framework for Next-Generation e-Healthcre"!! Authors: Aindree Chaterjee, Medhasree Ghosh, Deborsi Basu and Uttam Ghosh!! Congratulations to the team!!

“Goodness is the truest form of wisdom, for what we give to the world through honesty and empathy is what the universe returns to us.”
— Medhasree

Check my CV

Latest Achievements and News

Serving in Technical Committee of IEEE Comsnet 2026
Attended EdgeGen2026, University of Helsinki, 24th August-28th August.
I will be attending ICONIP 2026 at Melbourne, Australia on November 23rd to 28th to present our accepted paper "Bridging the Gap of Quantitative and Qualitative Assessment of Smart Contract Vulnerability Detection Models"
I have served as the co-supervisor of two master's theses under University of Oulu, (MULTI-AGENT ITINERARY GENERATION VIA HYBRID SPATIAL-SEMANTIC RAG and AI-DRIVEN STRUCTURED PARSING, RELEVANCE RANKING AND NEWS GRAPH CONSTRUCTION FROM LOCAL NEWS CONTENT)
I have recently served as an organizing co-chair in UBISS 2026 at the University of Oulu, Finland (June 10-16, 2026).
🚀 I have joined the University of Oulu, Finland as a postdoctoral researcher.
🎓 Successfully defended my doctoral thesis on December 12, 2025.

Teaching Philosophy

My teaching philosophy is grounded in the belief that teaching is the most powerful form of communication. For me, building an IIT-level Computer Science cohort is not merely a responsibility but a privilege. I strive to create classrooms that are interest-driven, conceptually rigorous, and rooted in practical reasoning rather than rote learning.

I am comfortable teaching all core Computer Science subjects, with a special passion for Formal Languages and Automata Theory, Data Structures and Programming, Design and Analysis of Algorithms, and Database Management Systems. I am equally enthusiastic about advanced electives such as Machine Learning, Data Mining, Data Analytics, and Complex Networks.

My instructional approach follows a three-layer pedagogy model:

Concept clarity through board-centric explanations and intuition building.
Practice-driven learning using problem-solving sessions, coding demonstrations, and dataset-based experiments.
Recap-centric mentoring through structured handwritten-style notes that serve as lifelong academic resources.

Drawing from my PhD research on deep learning–driven security analysis of Ethereum, I plan to introduce Security Analytics with Deep Learning as an applied module where students analyze real transaction graphs, detect anomalies, and visualize vulnerabilities. Teaching has never felt like a duty to me — it is my chosen path.

Teaching Experience

I have gained teaching experience across academic and professional settings, including Teaching Assistantship, university-level teaching, and industry-oriented instruction. My responsibilities have included delivering lectures, conducting laboratory sessions, supporting evaluations, and mentoring students. These experiences have strengthened my pedagogical maturity, technical communication, and classroom engagement skills.

Instructor/Mentor

Physics Wallah (Post PhD)
January 2026 – March 2026

Served as an instructor for the following courses:

Hands-on Python
Introductory Machine Learning

Teaching Assistantship during PhD

Jan 2021 – July 2025

I have also served as a Teaching Assistant across a wide range of core and applied Computer Science courses during my doctoral journey while contributing to lectures, laboratory sessions, evaluations, and student mentoring.

Blockchain & Applications
Introduction to Machine Learning
Data Structures
Database Management Systems
Algorithms Lab
Digital Systems
Introduction to C Programming
Discrete Mathematics
Introduction to Python Programming

Assistant Professor (Post M.Tech)

University of Engineering and Management, Kolkata
September 2020 – December 2020

Following the completion of my Master's degree, I served as an Assistant Professor, contributing to university-level teaching, student mentoring, and academic activities.

Teaching Assistant during Masters

Advanced Database Management Systems July 2019 – December 2019

During my Master's studies, I served as a Teaching Assistant for Advanced Database Management Systems, supporting teaching activities, laboratory sessions, student learning, and academic evaluations.

Research Experiences

My research journey began during my Master’s studies in bioinformatics, where I worked on computational analysis of biological data and developed a strong foundation in machine learning and data-driven modeling. During my PhD, my focus evolved toward deep learning–driven security analysis, particularly in the context of blockchain ecosystems, where I extensively employed graph neural networks and complex network analysis to model large-scale, dynamic, and adversarial systems. Building on this interdisciplinary background, my future research interests lie in advancing deep learning methodologies for complex networks, with an emphasis on interpretable, scalable, and security-aware modeling of real-world systems.

Selected Publications

Ghosh, M., Srivastava, S., Upadhyaya, A., Halder, R., & Chandra, J. (2025, April). Catalog: Exploiting joint temporal dependencies for enhanced phishing detection on ethereum. In Proceedings of the ACM on Web Conference 2025 (pp. 969-977).
Ghosh, M., Jain, C. D., Halder, R., & Chandra, J. (2025, July). TEMPER: Capturing Consistent and Fluctuating TEMPoral User Behaviour for EtheReum Phishing Scam Detection. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 1 (pp. 2259-2270).
Ghosh, M., Halder, R., & Chandra, J. (2025). A Systematic Review on Ethereum Phishing Scam Detection: Challenges, Empirical Insights, and Future Directions. Blockchain: Research and Applications, 100424.
Ghosh, M., Halder, R., & Chandra, J. (2025). TREAT: Temporal and Relational Attention-Based Tensor Representation Learning for Ethereum Phishing Users. IEEE Transactions on Services Computing.
Ghosh, M., Halder, R., & Chandra, J. (2024). SpaTeD: sparsity-aware tensor decomposition-based representation learning framework for phishing scams detection. IEEE Transactions on Computational Social Systems.
📚 Check my full publication list here ➡️ 🔗 Google Scholar

Awards & Achievements

Qualified GATE 2018 & UGC NET 2020 (Assistant Professor).
Recipient of GATE AICTE National Fellowship (2018-2020) and MHRD Research Fellowship (2021-2025).
Awarded travel grants from INDOML 2022 (IIT Gandhinagar) and INDOML 2023 (IIT Bombay).
Received best organizer award from the departmental head CSE, IIT Patna| 2023.
Presented an invited talk on Graph Neural Network and Applications to North East Hill University | 2023.
Received best organizer award from the departmental head CSE, IIT Patna| 2023.
Attended & Presented at 12th UBISS Workshop (Summer School), at University of Oulu, Finland (Joint Funding by IIT Patna and University of Oulu) | 2024.
Awarded Google APAC Conference Support Grant for attending & Presenting The WEB Conference (WWW) in Sydney, Australia | 2025.
Awarded ACM IARCS Grant for attending & Presenting The WEB Conference (WWW) in Sydney, Australia | 2025.
Awarded Microsoft Conference Support Grant for attending & Presenting ACM KDD in Toronto, Canada | 2025.
Session Chair at ACM KDD 2025.
Research Mentor at I-can Group | 2025.
Served as an instructor in Physics Wallah for the course of Hands on Python and Introduction to Machine Learning (January 2026-March 2026)
I was invited to co-chair 14th International Summer School UBISS 2026 and have succesfully served the same!!

Served as a Reviewer and Volunteer

IEEE Transactions on Network and Service Management
IEEE Transactions on Computational Social Systems
IEEE Transactions on Systems, Man and Cybernatics
IEEE Transactions on Artificial Intelligence
IEEE Transactions on Services Computing
IEEE Internet Computing
Information Processing and Management
Cluster Computing
Scientific Reports
Applied Intelligence
Blockchain Research and Applications
IEEE DSA
Information Processing and Management Journal
World Wide Web Journal
The Web Conference (WWW)
Pattern Recognition and Letters
PreMi AI4SG
RAAISA

Volunteering: Research Scholar Day 2022 & 2023 at IIT Patna, National Symposium of Research Scholars 2023, BuildSec 2025 (organized by IIT Patna and UNSW Australia).

Gallery

A collection of memorable moments from my research journey, conferences, academic activities, teaching experiences, and life beyond research.

Academic Milestone

A memorable moment from my academic and research journey. Presentation at KDD 2025 Toronto, Canada!

First A* Experience

Presenting and exchanging research ideas with the global research community at WWW2025 (Webconf at Sydney Australia).

Exposer begins here

My first poster was presented in my home ground at the University of Calcutta on the occasion of AKC Symposium 2022.

First Venture as a postdoc

Serving as a organizing Co-Chair Ubiss 2026 at the University of Oulu!

First Poster Presentation as a postdoc

Presenting my postdoctoral research with fellow researchers at EdgeGen 2026 at University of Helsinki.

A Memorable Moment

My Doctoral Defense 12th December 2025!

After Being a Dr.

With my Doctoral committee and the external examiner after my successful defense.

A Precious moment to keep

It was an honor to meet and share the frame with my idol The Jure Leskovec! The person who introduced me with GNNs and the lectures given by him paved the path for my learning. He is a legend to me! Seeing him, talking to him and clicking a picture with him, it was like a dream come true! I am really thankful to The WebConf Community, for giving this opportunity!!

Most Prestigious moment for me

I was felicitated by my school (Rishra Girls' High School) for being an inspiration for my juniors. I was truly honored by the gesture pf my teachers and the chair person! It truly motivated me to do better in my career! Feeling blessed!

What My Mentors Say

“I have supervised Medhasree during her doctoral journey and she stands out for her professionalism and disciplined life. I have seen her calmly handling all ups and downs. I truly believe that she is a very bright young researcher. Apart from research, I have seen her as a teaching assistant, in which she has shown top notch responsibility sense. I wish her all the best in her future!”
— Dr. Raju Halder, Associate Professor, IIT Patna, (halder@iitp.ac.in)[PhD Supervisor]

“Medhasree stands out not only for her hard work and punctuality but also for her professionalism and determination. I supervised her jointly with Dr. Raju Halder during her doctoral journey. I appriciate her hardwork and dedication towards research and teaching. I believe she will excel in the field of teaching, mentoring and research.”
— Dr. Joydeep Chandra, Associate Professor, IIT Patna (joydeep@iitp.ac.in) [PhD Joint Supervisor]

“Under my supervision, Dr. Medhasree completed her Master’s thesis and I have continued to follow her academic progress with great admiration. Over the years, Medhasree has built an impressive research portfolio, publishing in leading international venues that attest to the quality and impact of her work. Her smooth and successful transition from computational biology to deep learning–based blockchain security research demonstrates remarkable adaptability and intellectual agility.”
— Prof. Rajat Kumar Pal, University of Calcutta (rkpcomp@Caluniv.ac.in) [Master's Thesis Supervisor]

“Medhasree has been a teaching assistant under my supervision for a significant time period. As a Teaching Assistant, Medhasree consistently went above expectations. Her ability to explain complex concepts in a simple and structured manner made her an effective communicator and a reliable support for both students and faculty. I greatly appreciated her dedication, punctuality, and attention to detail in managing all aspects of her TA responsibilities. ”
— Dr. Samrat Mondal, IIT Patna (samrat@iitp.ac.in) [TA Mentor]